From d886bc3efb55882b0ebaf2a02501f4fa0de4c423 Mon Sep 17 00:00:00 2001
From: Nathan Keim <keim@psu.edu>
Date: Fri, 23 Feb 2024 06:59:45 -0500
Subject: [PATCH] Release trackpy v0.6.2

---
 robots.txt                                    |     1 +
 trackpy/stable/index.html                     |     2 +-
 trackpy/v0.6.2/.buildinfo                     |     4 +
 trackpy/v0.6.2/_sources/api.rst.txt           |   282 +
 .../v0.6.2/_sources/examples/index.rst.txt    |    85 +
 .../trackpy.FramewiseData.close.rst.txt       |     6 +
 .../trackpy.FramewiseData.dump.rst.txt        |     6 +
 .../trackpy.FramewiseData.frames.rst.txt      |     6 +
 .../trackpy.FramewiseData.get.rst.txt         |     6 +
 .../trackpy.FramewiseData.max_frame.rst.txt   |     6 +
 .../trackpy.FramewiseData.put.rst.txt         |     6 +
 .../generated/trackpy.FramewiseData.rst.txt   |    34 +
 .../trackpy.FramewiseData.t_column.rst.txt    |     6 +
 .../trackpy.PandasHDFStore.close.rst.txt      |     6 +
 .../trackpy.PandasHDFStore.dump.rst.txt       |     6 +
 .../trackpy.PandasHDFStore.frames.rst.txt     |     6 +
 .../trackpy.PandasHDFStore.get.rst.txt        |     6 +
 .../trackpy.PandasHDFStore.max_frame.rst.txt  |     6 +
 .../trackpy.PandasHDFStore.put.rst.txt        |     6 +
 .../generated/trackpy.PandasHDFStore.rst.txt  |    34 +
 .../trackpy.PandasHDFStore.t_column.rst.txt   |     6 +
 .../trackpy.PandasHDFStoreBig.close.rst.txt   |     6 +
 .../trackpy.PandasHDFStoreBig.dump.rst.txt    |     6 +
 .../trackpy.PandasHDFStoreBig.frames.rst.txt  |     6 +
 .../trackpy.PandasHDFStoreBig.get.rst.txt     |     6 +
 ...rackpy.PandasHDFStoreBig.max_frame.rst.txt |     6 +
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 ...py.PandasHDFStoreBig.rebuild_cache.rst.txt |     6 +
 .../trackpy.PandasHDFStoreBig.rst.txt         |    35 +
 ...trackpy.PandasHDFStoreBig.t_column.rst.txt |     6 +
 ...kpy.PandasHDFStoreSingleNode.close.rst.txt |     6 +
 ...ckpy.PandasHDFStoreSingleNode.dump.rst.txt |     6 +
 ...py.PandasHDFStoreSingleNode.frames.rst.txt |     6 +
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 ...PandasHDFStoreSingleNode.max_frame.rst.txt |     6 +
 ...ackpy.PandasHDFStoreSingleNode.put.rst.txt |     6 +
 .../trackpy.PandasHDFStoreSingleNode.rst.txt  |    34 +
 ....PandasHDFStoreSingleNode.t_column.rst.txt |     6 +
 .../trackpy.SubnetOversizeException.rst.txt   |     6 +
 .../generated/trackpy.annotate.rst.txt        |     6 +
 .../generated/trackpy.annotate3d.rst.txt      |     6 +
 .../_sources/generated/trackpy.api.rst.txt    |    23 +
 .../generated/trackpy.artificial.rst.txt      |    51 +
 .../_sources/generated/trackpy.batch.rst.txt  |     6 +
 .../trackpy.diag.dependencies.rst.txt         |     6 +
 .../trackpy.diag.performance_report.rst.txt   |     6 +
 .../_sources/generated/trackpy.diag.rst.txt   |    30 +
 .../generated/trackpy.disable_numba.rst.txt   |     6 +
 .../generated/trackpy.enable_numba.rst.txt    |     6 +
 .../generated/trackpy.feature.rst.txt         |    37 +
 .../trackpy.filtering.filter_clusters.rst.txt |     6 +
 .../trackpy.filtering.filter_stubs.rst.txt    |     6 +
 .../generated/trackpy.filtering.rst.txt       |    33 +
 .../trackpy.find.percentile_threshold.rst.txt |     6 +
 .../_sources/generated/trackpy.find.rst.txt   |    33 +
 .../generated/trackpy.find_link.rst.txt       |     6 +
 .../generated/trackpy.framewise_data.rst.txt  |    39 +
 .../generated/trackpy.grey_dilation.rst.txt   |     6 +
 .../generated/trackpy.handle_logging.rst.txt  |     6 +
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 .../_sources/generated/trackpy.link.rst.txt   |     6 +
 .../generated/trackpy.link_df_iter.rst.txt    |     6 +
 .../generated/trackpy.link_iter.rst.txt       |     6 +
 .../generated/trackpy.link_partial.rst.txt    |     6 +
 .../trackpy.linking.find_link.rst.txt         |     6 +
 .../generated/trackpy.linking.legacy.rst.txt  |    48 +
 .../generated/trackpy.linking.linking.rst.txt |    39 +
 .../generated/trackpy.linking.partial.rst.txt |    31 +
 .../generated/trackpy.linking.rst.txt         |    37 +
 .../generated/trackpy.linking.subnet.rst.txt  |    39 +
 .../trackpy.linking.subnetlinker.rst.txt      |    42 +
 .../generated/trackpy.linking.utils.rst.txt   |    47 +
 .../_sources/generated/trackpy.locate.rst.txt |     6 +
 ....locate_functions.brightfield_ring.rst.txt |    29 +
 .../trackpy.locate_functions.rst.txt          |    31 +
 .../trackpy.masks.binary_mask.rst.txt         |     6 +
 .../generated/trackpy.masks.cosmask.rst.txt   |     6 +
 .../trackpy.masks.gaussian_kernel.rst.txt     |     6 +
 .../trackpy.masks.mask_image.rst.txt          |     6 +
 .../trackpy.masks.r_squared_mask.rst.txt      |     6 +
 .../_sources/generated/trackpy.masks.rst.txt  |    40 +
 .../generated/trackpy.masks.sinmask.rst.txt   |     6 +
 .../trackpy.masks.slice_image.rst.txt         |     6 +
 .../trackpy.masks.theta_mask.rst.txt          |     6 +
 .../trackpy.masks.x_squared_masks.rst.txt     |     6 +
 .../generated/trackpy.mass_ecc.rst.txt        |     6 +
 .../generated/trackpy.mass_size.rst.txt       |     6 +
 .../trackpy.minmass_v03_change.rst.txt        |     6 +
 .../trackpy.minmass_v04_change.rst.txt        |     6 +
 .../trackpy.motion.compute_drift.rst.txt      |     6 +
 .../trackpy.motion.diagonal_size.rst.txt      |     6 +
 .../trackpy.motion.direction_corr.rst.txt     |     6 +
 .../generated/trackpy.motion.emsd.rst.txt     |     6 +
 .../generated/trackpy.motion.imsd.rst.txt     |     6 +
 .../trackpy.motion.is_typical.rst.txt         |     6 +
 ...y.motion.min_rolling_theta_entropy.rst.txt |     6 +
 .../generated/trackpy.motion.msd.rst.txt      |     6 +
 .../trackpy.motion.relate_frames.rst.txt      |     6 +
 .../_sources/generated/trackpy.motion.rst.txt |    45 +
 .../trackpy.motion.subtract_drift.rst.txt     |     6 +
 .../trackpy.motion.theta_entropy.rst.txt      |     6 +
 .../generated/trackpy.motion.vanhove.rst.txt  |     6 +
 .../trackpy.motion.velocity_corr.rst.txt      |     6 +
 .../trackpy.plot_density_profile.rst.txt      |     6 +
 .../trackpy.plot_displacements.rst.txt        |     6 +
 .../generated/trackpy.plot_traj.rst.txt       |     6 +
 .../generated/trackpy.plot_traj3d.rst.txt     |     6 +
 .../_sources/generated/trackpy.plots.rst.txt  |    48 +
 ...kpy.predict.ChannelPredict.link_df.rst.txt |     6 +
 ...redict.ChannelPredict.link_df_iter.rst.txt |     6 +
 ...kpy.predict.ChannelPredict.observe.rst.txt |     6 +
 ...kpy.predict.ChannelPredict.predict.rst.txt |     6 +
 .../trackpy.predict.ChannelPredict.rst.txt    |    27 +
 ...ackpy.predict.ChannelPredict.state.rst.txt |     6 +
 ...rackpy.predict.ChannelPredict.wrap.rst.txt |     6 +
 ...predict.ChannelPredict.wrap_single.rst.txt |     6 +
 ...ackpy.predict.DriftPredict.link_df.rst.txt |     6 +
 ....predict.DriftPredict.link_df_iter.rst.txt |     6 +
 ...ackpy.predict.DriftPredict.observe.rst.txt |     6 +
 ...ackpy.predict.DriftPredict.predict.rst.txt |     6 +
 .../trackpy.predict.DriftPredict.rst.txt      |    27 +
 ...trackpy.predict.DriftPredict.state.rst.txt |     6 +
 .../trackpy.predict.DriftPredict.wrap.rst.txt |     6 +
 ...y.predict.DriftPredict.wrap_single.rst.txt |     6 +
 ...ict.NearestVelocityPredict.link_df.rst.txt |     6 +
 ...earestVelocityPredict.link_df_iter.rst.txt |     6 +
 ...ict.NearestVelocityPredict.observe.rst.txt |     6 +
 ...ict.NearestVelocityPredict.predict.rst.txt |     6 +
 ...kpy.predict.NearestVelocityPredict.rst.txt |    27 +
 ...edict.NearestVelocityPredict.state.rst.txt |     6 +
 ...redict.NearestVelocityPredict.wrap.rst.txt |     6 +
 ...NearestVelocityPredict.wrap_single.rst.txt |     6 +
 ...rackpy.predict.NullPredict.link_df.rst.txt |     6 +
 ...y.predict.NullPredict.link_df_iter.rst.txt |     6 +
 ...rackpy.predict.NullPredict.observe.rst.txt |     6 +
 ...rackpy.predict.NullPredict.predict.rst.txt |     6 +
 .../trackpy.predict.NullPredict.rst.txt       |    27 +
 .../trackpy.predict.NullPredict.state.rst.txt |     6 +
 .../trackpy.predict.NullPredict.wrap.rst.txt  |     6 +
 ...py.predict.NullPredict.wrap_single.rst.txt |     6 +
 .../trackpy.predict.instrumented.rst.txt      |     6 +
 .../trackpy.predict.predictor.rst.txt         |     6 +
 .../generated/trackpy.predict.rst.txt         |    40 +
 .../trackpy.preprocessing.bandpass.rst.txt    |     6 +
 ...ackpy.preprocessing.convert_to_int.rst.txt |     6 +
 ...trackpy.preprocessing.invert_image.rst.txt |     6 +
 .../trackpy.preprocessing.lowpass.rst.txt     |     6 +
 .../generated/trackpy.preprocessing.rst.txt   |    37 +
 ...ackpy.preprocessing.scale_to_gamut.rst.txt |     6 +
 .../_sources/generated/trackpy.quiet.rst.txt  |     6 +
 .../trackpy.reconnect_traj_patch.rst.txt      |     6 +
 .../trackpy.refine.brightfield_ring.rst.txt   |    29 +
 .../trackpy.refine.center_of_mass.rst.txt     |    30 +
 .../trackpy.refine.least_squares.rst.txt      |    69 +
 .../_sources/generated/trackpy.refine.rst.txt |    33 +
 .../generated/trackpy.refine_com.rst.txt      |     6 +
 .../generated/trackpy.refine_leastsq.rst.txt  |     6 +
 .../v0.6.2/_sources/generated/trackpy.rst.txt |    52 +
 .../generated/trackpy.scatter.rst.txt         |     6 +
 .../generated/trackpy.scatter3d.rst.txt       |     6 +
 .../generated/trackpy.static.cluster.rst.txt  |     6 +
 ...trackpy.static.pair_correlation_2d.rst.txt |     6 +
 ...trackpy.static.pair_correlation_3d.rst.txt |     6 +
 .../trackpy.static.proximity.rst.txt          |     6 +
 .../_sources/generated/trackpy.static.rst.txt |    46 +
 .../generated/trackpy.subpx_bias.rst.txt      |     6 +
 .../generated/trackpy.tracking.rst.txt        |    23 +
 .../generated/trackpy.try_numba.rst.txt       |    37 +
 .../generated/trackpy.uncertainty.rst.txt     |    30 +
 .../trackpy.utils.fit_powerlaw.rst.txt        |     6 +
 .../_sources/generated/trackpy.utils.rst.txt  |    60 +
 trackpy/v0.6.2/_sources/index.rst.txt         |   111 +
 trackpy/v0.6.2/_sources/installation.rst.txt  |   201 +
 trackpy/v0.6.2/_sources/introduction.rst.txt  |   151 +
 trackpy/v0.6.2/_sources/tutorial.rst.txt      |    35 +
 .../_sources/tutorial/adaptive-search.rst.txt |     4 +
 .../_sources/tutorial/brightfield.rst.txt     |     4 +
 .../tutorial/custom-feature-detection.rst.txt |     4 +
 .../v0.6.2/_sources/tutorial/on-disk.rst.txt  |     4 +
 .../_sources/tutorial/parallel-locate.rst.txt |     4 +
 .../_sources/tutorial/performance.rst.txt     |     4 +
 .../_sources/tutorial/prediction.rst.txt      |     4 +
 .../v0.6.2/_sources/tutorial/subnets.rst.txt  |     4 +
 .../_sources/tutorial/tracking-3d.rst.txt     |     4 +
 .../_sources/tutorial/uncertainty.rst.txt     |     4 +
 .../_sources/tutorial/walkthrough.rst.txt     |     4 +
 trackpy/v0.6.2/_sources/whatsnew.rst.txt      |    14 +
 .../_sphinx_javascript_frameworks_compat.js   |   134 +
 trackpy/v0.6.2/_static/basic.css              |   930 ++
 .../css/bootstrap-responsive.css              |  1109 ++
 .../css/bootstrap-responsive.min.css          |     9 +
 .../_static/bootstrap-2.3.2/css/bootstrap.css |  6167 +++++++++
 .../bootstrap-2.3.2/css/bootstrap.min.css     |     9 +
 .../img/glyphicons-halflings-white.png        |   Bin 0 -> 8777 bytes
 .../img/glyphicons-halflings.png              |   Bin 0 -> 12799 bytes
 .../_static/bootstrap-2.3.2/js/bootstrap.js   |  2287 ++++
 .../bootstrap-2.3.2/js/bootstrap.min.js       |     6 +
 .../bootstrap-3.4.1/css/bootstrap-theme.css   |   587 +
 .../css/bootstrap-theme.css.map               |     1 +
 .../css/bootstrap-theme.min.css               |     6 +
 .../css/bootstrap-theme.min.css.map           |     1 +
 .../_static/bootstrap-3.4.1/css/bootstrap.css |  6834 ++++++++++
 .../bootstrap-3.4.1/css/bootstrap.css.map     |     1 +
 .../bootstrap-3.4.1/css/bootstrap.min.css     |     6 +
 .../bootstrap-3.4.1/css/bootstrap.min.css.map |     1 +
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 .../_static/bootstrap-3.4.1/js/bootstrap.js   |  2580 ++++
 .../bootstrap-3.4.1/js/bootstrap.min.js       |     6 +
 .../v0.6.2/_static/bootstrap-3.4.1/js/npm.js  |    13 +
 trackpy/v0.6.2/_static/bootstrap-sphinx.css   |   223 +
 trackpy/v0.6.2/_static/bootstrap-sphinx.js    |   175 +
 .../bootswatch-2.3.2/amelia/bootstrap.min.css |     9 +
 .../cerulean/bootstrap.min.css                |     9 +
 .../bootswatch-2.3.2/cosmo/bootstrap.min.css  |     9 +
 .../bootswatch-2.3.2/cyborg/bootstrap.min.css |     9 +
 .../bootswatch-2.3.2/flatly/bootstrap.min.css |     9 +
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 .../journal/bootstrap.min.css                 |     9 +
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 .../bootswatch-2.3.2/slate/bootstrap.min.css  |     9 +
 .../spacelab/bootstrap.min.css                |     9 +
 .../bootswatch-2.3.2/spruce/bootstrap.min.css |     9 +
 .../superhero/bootstrap.min.css               |     9 +
 .../bootswatch-2.3.2/united/bootstrap.min.css |     9 +
 .../cerulean/bootstrap.min.css                |    11 +
 .../bootswatch-3.4.1/cosmo/bootstrap.min.css  |    11 +
 .../bootswatch-3.4.1/cyborg/bootstrap.min.css |    11 +
 .../bootswatch-3.4.1/darkly/bootstrap.min.css |    11 +
 .../bootswatch-3.4.1/flatly/bootstrap.min.css |    11 +
 .../fonts/glyphicons-halflings-regular.eot    |   Bin 0 -> 20127 bytes
 .../fonts/glyphicons-halflings-regular.svg    |   288 +
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 .../journal/bootstrap.min.css                 |    11 +
 .../bootswatch-3.4.1/lumen/bootstrap.min.css  |    11 +
 .../bootswatch-3.4.1/paper/bootstrap.min.css  |    11 +
 .../readable/bootstrap.min.css                |    11 +
 .../sandstone/bootstrap.min.css               |    11 +
 .../simplex/bootstrap.min.css                 |    11 +
 .../bootswatch-3.4.1/slate/bootstrap.min.css  |    11 +
 .../spacelab/bootstrap.min.css                |    11 +
 .../superhero/bootstrap.min.css               |    11 +
 .../bootswatch-3.4.1/united/bootstrap.min.css |    11 +
 .../bootswatch-3.4.1/yeti/bootstrap.min.css   |    11 +
 trackpy/v0.6.2/_static/doctools.js            |   264 +
 .../v0.6.2/_static/documentation_options.js   |    14 +
 trackpy/v0.6.2/_static/file.png               |   Bin 0 -> 286 bytes
 .../_static/fluorescent-particles-in-cfs.png  |   Bin 0 -> 72732 bytes
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 .../v0.6.2/_static/interfacial-particles.png  |   Bin 0 -> 155122 bytes
 trackpy/v0.6.2/_static/jquery-3.6.0.js        | 10881 ++++++++++++++++
 trackpy/v0.6.2/_static/jquery.js              |     2 +
 .../v0.6.2/_static/js/jquery-1.12.4.min.js    |     5 +
 trackpy/v0.6.2/_static/js/jquery-fix.js       |     2 +
 trackpy/v0.6.2/_static/language_data.js       |   199 +
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 trackpy/v0.6.2/_static/minus.png              |   Bin 0 -> 90 bytes
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 trackpy/v0.6.2/_static/searchtools.js         |   531 +
 trackpy/v0.6.2/_static/tracking-sphere.png    |   Bin 0 -> 49633 bytes
 .../v0.6.2/_static/trajectories-in-water.png  |   Bin 0 -> 54742 bytes
 trackpy/v0.6.2/_static/underscore-1.13.1.js   |  2042 +++
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 trackpy/v0.6.2/api.html                       |   591 +
 trackpy/v0.6.2/examples/index.html            |   209 +
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 ...ackpy.PandasHDFStoreBig.rebuild_cache.html |   153 +
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 trackpy/v0.6.2/generated/trackpy.batch.html   |   214 +
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 create mode 100644 trackpy/v0.6.2/tutorial/tracking-3d.html
 create mode 100644 trackpy/v0.6.2/tutorial/uncertainty.html
 create mode 100644 trackpy/v0.6.2/tutorial/walkthrough.html
 create mode 100644 trackpy/v0.6.2/whatsnew.html

diff --git a/robots.txt b/robots.txt
index a7d3d72f..f6bd49a5 100644
--- a/robots.txt
+++ b/robots.txt
@@ -9,6 +9,7 @@ Disallow: /trackpy/v0.4.1/
 Disallow: /trackpy/v0.4.2/
 Disallow: /trackpy/v0.5.0/
 Disallow: /trackpy/v0.6.0/
+Disallow: /trackpy/v0.6.1/
 
 Disallow: /pims/0.3.2/
 Disallow: /pims/v0.3.2/
diff --git a/trackpy/stable/index.html b/trackpy/stable/index.html
index fd56d6c1..96abf509 100644
--- a/trackpy/stable/index.html
+++ b/trackpy/stable/index.html
@@ -1,5 +1,5 @@
 <html>
   <head>
-    <meta http-equiv="refresh" content="0;URL='http://soft-matter.github.io/trackpy/v0.6.1/'" />
+    <meta http-equiv="refresh" content="0;URL='http://soft-matter.github.io/trackpy/v0.6.2/'" />
   </head>
 <html>
diff --git a/trackpy/v0.6.2/.buildinfo b/trackpy/v0.6.2/.buildinfo
new file mode 100644
index 00000000..95315ee2
--- /dev/null
+++ b/trackpy/v0.6.2/.buildinfo
@@ -0,0 +1,4 @@
+# Sphinx build info version 1
+# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
+config: eaeae5838a636b68b7411372cfb5f139
+tags: 645f666f9bcd5a90fca523b33c5a78b7
diff --git a/trackpy/v0.6.2/_sources/api.rst.txt b/trackpy/v0.6.2/_sources/api.rst.txt
new file mode 100644
index 00000000..4fe3921f
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/api.rst.txt
@@ -0,0 +1,282 @@
+.. _api_ref:
+
+API reference
+=============
+The core functionality of trackpy is grouped into three separate steps:
+
+1. Locating features in an image
+2. Refining feature coordinates to obtain subpixel precision
+3. Identifying features through time, linking them into trajectories.
+
+Convenience functions for feature finding, refinement, and linking are readily available:
+
+.. autosummary::
+    :toctree: generated/
+
+    trackpy.locate
+    trackpy.batch
+    trackpy.link
+
+For more control on your tracking "pipeline", the following core functions are provided:
+
+
+Feature finding
+---------------
+.. autosummary::
+    :toctree: generated/
+
+    trackpy.grey_dilation
+    trackpy.find_link
+
+
+Coordinate refinement
+---------------------
+.. autosummary::
+    :toctree: generated/
+
+    trackpy.refine_com
+    trackpy.refine_leastsq
+
+Linking
+-------
+.. autosummary::
+    :toctree: generated/
+
+    trackpy.link
+    trackpy.link_iter
+    trackpy.link_df_iter
+    trackpy.link_partial
+    trackpy.reconnect_traj_patch
+
+
+:func:`~trackpy.linking.link` and :func:`~trackpy.linking.link_df_iter` run
+the same underlying code. :func:`~trackpy.linking.link` operates on a single
+DataFrame containing data for an entire movie.
+:func:`~trackpy.linking.link_df_iter` streams through larger data sets,
+in the form of one DataFrame for each video frame.
+:func:`~trackpy.linking.link_iter` streams through a series of numpy
+ndarrays.
+:func:`~trackpy.linking.link_partial` can patch a region of trajectories in
+an already linked dataset.
+
+
+See the tutorial on large data sets for more.
+
+Static Analysis
+---------------
+
+.. autosummary::
+    :toctree: generated/
+
+    trackpy.static.proximity
+    trackpy.static.pair_correlation_2d
+    trackpy.static.pair_correlation_3d
+    trackpy.static.cluster
+
+Motion Analysis
+---------------
+
+.. autosummary::
+    :toctree: generated/
+
+    trackpy.motion.msd
+    trackpy.motion.imsd
+    trackpy.motion.emsd
+    trackpy.motion.compute_drift
+    trackpy.motion.subtract_drift
+    trackpy.motion.vanhove
+    trackpy.motion.relate_frames
+    trackpy.motion.velocity_corr
+    trackpy.motion.direction_corr
+    trackpy.motion.is_typical
+    trackpy.motion.diagonal_size
+    trackpy.motion.theta_entropy
+    trackpy.motion.min_rolling_theta_entropy
+    trackpy.filtering.filter_stubs
+    trackpy.filtering.filter_clusters
+
+Prediction Framework
+--------------------
+
+Trackpy extends the Crocker--Grier algoritm using a prediction framework, described in the prediction tutorial.
+
+.. autosummary::
+   :toctree: generated/
+
+   trackpy.predict.NullPredict     
+   trackpy.predict.ChannelPredict
+   trackpy.predict.DriftPredict
+   trackpy.predict.NearestVelocityPredict
+   trackpy.predict.predictor
+   trackpy.predict.instrumented
+
+Plotting Tools
+--------------
+
+Trackpy includes functions for plotting the data in ways that are commonly useful. If you don't find what you need here, you can plot the data any way you like using matplotlib, seaborn, or any other plotting library.
+
+.. autosummary::
+    :toctree: generated/
+
+    trackpy.annotate
+    trackpy.scatter
+    trackpy.plot_traj
+    trackpy.annotate3d
+    trackpy.scatter3d
+    trackpy.plot_traj3d
+    trackpy.plot_displacements
+    trackpy.subpx_bias
+    trackpy.plot_density_profile
+
+These two are almost too simple to justify their existence -- just a convenient shorthand for a common plotting task.
+
+.. autosummary::
+    :toctree: generated/
+
+    trackpy.mass_ecc
+    trackpy.mass_size
+
+Image Conversion
+----------------
+
+By default, :func:`~trackpy.feature.locate` applies a bandpass and a percentile-based
+threshold to the image(s) before finding features. You can turn off this functionality
+using ``preprocess=False, percentile=0``.) In many cases, the default bandpass, which
+guesses good length scales from the ``diameter`` parameter, "just works." But if you want
+to executre these steps manually, you can.
+
+.. autosummary::
+    :toctree: generated/
+
+    trackpy.find.percentile_threshold
+    trackpy.preprocessing.bandpass
+    trackpy.preprocessing.lowpass
+    trackpy.preprocessing.scale_to_gamut
+    trackpy.preprocessing.invert_image
+    trackpy.preprocessing.convert_to_int
+
+Framewise Data Storage & Retrieval Interface
+--------------------------------------------
+
+Trackpy implements a generic interface that could be used to store and
+retrieve particle tracking data in any file format. We hope that it can
+make it easier for researchers who use different file formats to exchange data. Any in-house format could be accessed using the same simple interface in trackpy.
+
+At present, the interface is implemented only for HDF5 files. There are
+several different implementations, each with different performance
+optimizations. :class:`~trackpy.framewise_data.PandasHDFStoreBig` is a good general-purpose choice.
+
+.. autosummary::
+    :toctree: generated/
+
+    trackpy.PandasHDFStore
+    trackpy.PandasHDFStoreBig
+    trackpy.PandasHDFStoreSingleNode
+    trackpy.FramewiseData
+
+That last class cannot be used directly; it is meant to be subclassed
+to support other formats. See *Writing Your Own Interface* in the streaming tutorial for
+more.
+
+Logging
+-------
+
+Trackpy issues log messages. This functionality is mainly used to report the
+progress of lengthy jobs, but it may be used in the future to report details of
+feature-finding and linking for debugging purposes.
+
+When trackpy is imported, it automatically calls `handle_logging()`, which sets
+the logging level and attaches a logging handler that plays nicely with
+IPython notebooks. You can override this by calling `ignore_logging()` and
+configuring the logger however you like.
+
+.. autosummary::
+    :toctree: generated/
+
+    trackpy.quiet
+    trackpy.handle_logging
+    trackpy.ignore_logging
+
+Utility functions
+-----------------
+
+.. autosummary::
+    :toctree: generated/
+
+    trackpy.minmass_v03_change
+    trackpy.minmass_v04_change
+    trackpy.utils.fit_powerlaw
+
+Diagnostic functions
+--------------------
+
+.. autosummary::
+   :toctree: generated/
+
+   trackpy.diag.performance_report
+   trackpy.diag.dependencies
+
+Low-Level API (Advanced)
+------------------------
+
+Switching Between Numba and Pure Python
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+Trackpy implements the most intensive (read: slowest) parts of the core feature-finding and linking algorithm in pure Python (with numpy) and also in `numba <http://numba.pydata.org/>`_, which accelerates Python code. Numba can offer a major performance boost, but it is still relatively new, and it can be challenging to use. If numba is available, trackpy will use the numba implementation by default; otherwise, it will use pure Python. The following functions allow sophisticated users to manually switch between numba and pure-Python modes. This may be used, for example, to measure the performance of these two implementations on your data.
+
+.. autosummary::
+   :toctree: generated/
+
+   trackpy.enable_numba
+   trackpy.disable_numba
+
+
+Low-Level Linking API
+^^^^^^^^^^^^^^^^^^^^^
+
+All of the linking functions in trackpy provide the same level of control over the linking algorithm itself. For almost all users, the functions above will be sufficient. But :func:`~trackpy.linking.link_df` and :func:`~trackpy.linking.link_df_iter` above do assume that the data is stored in a pandas DataFrame. For users who want to use some other iterable data structure, the functions below provide direct access to the linking code.
+
+.. autosummary::
+    :toctree: generated/
+
+    trackpy.link_iter
+    trackpy.link
+
+And the following classes can be subclassed to implement a customized linking procedure.
+
+.. autosummary::
+    :toctree: generated/
+
+    trackpy.SubnetOversizeException
+
+Masks
+^^^^^
+
+These functions may also be useful for rolling your own algorithms:
+
+.. autosummary::
+    :toctree: generated/
+
+    trackpy.masks.binary_mask
+    trackpy.masks.r_squared_mask
+    trackpy.masks.x_squared_masks
+    trackpy.masks.cosmask
+    trackpy.masks.sinmask
+    trackpy.masks.theta_mask
+    trackpy.masks.gaussian_kernel
+    trackpy.masks.mask_image
+    trackpy.masks.slice_image
+
+Full API reference
+------------------
+
+A full overview of all modules and functions can be found below:
+
+.. autosummary::
+    :toctree: generated/
+    :recursive:
+
+    trackpy
+
+..
+  Note: we excluded trackpy.tests in conf.py (autosummary_mock_imports)
diff --git a/trackpy/v0.6.2/_sources/examples/index.rst.txt b/trackpy/v0.6.2/_sources/examples/index.rst.txt
new file mode 100644
index 00000000..6ab00c0f
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/examples/index.rst.txt
@@ -0,0 +1,85 @@
+
+
+.. raw:: html
+
+    <style type="text/css">
+    .figure {
+        position: relative;
+        float: left;
+        margin: 10px;
+        width: 180px;
+        height: 200px;
+    }
+
+    .figure img {
+        position: absolute;
+        display: inline;
+        left: 0;
+        width: 170px;
+        height: 170px;
+        opacity:1.0;
+        filter:alpha(opacity=100); /* For IE8 and earlier */
+    }
+
+    .figure:hover img {
+        -webkit-filter: blur(3px);
+        -moz-filter: blur(3px);
+        -o-filter: blur(3px);
+        -ms-filter: blur(3px);
+        filter: blur(3px);
+        opacity:1.0;
+        filter:alpha(opacity=100); /* For IE8 and earlier */
+    }
+
+    .figure span {
+        position: absolute;
+        display: inline;
+        left: 0;
+        width: 170px;
+        height: 170px;
+        background: #000;
+        color: #fff;
+        visibility: hidden;
+        opacity: 0;
+        z-index: 100;
+    }
+
+    .figure p {
+        position: absolute;
+        top: 45%;
+        width: 170px;
+        font-size: 110%;
+    }
+
+    .figure:hover span {
+        visibility: visible;
+        opacity: .4;
+    }
+
+    .caption {
+        position: absolute;
+        width: 180px;
+        top: 170px;
+        text-align: center !important;
+    }
+    </style>
+
+.. _example_gallery:
+
+Example gallery
+===============
+
+
+
+.. toctree::
+   :hidden:
+
+
+
+
+
+
+
+.. raw:: html
+
+    <div style="clear: both"></div>
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.FramewiseData.close.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.FramewiseData.close.rst.txt
new file mode 100644
index 00000000..7c531094
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.FramewiseData.close.rst.txt
@@ -0,0 +1,6 @@
+trackpy.FramewiseData.close
+===========================
+
+.. currentmodule:: trackpy
+
+.. automethod:: FramewiseData.close
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.FramewiseData.dump.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.FramewiseData.dump.rst.txt
new file mode 100644
index 00000000..93820514
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.FramewiseData.dump.rst.txt
@@ -0,0 +1,6 @@
+trackpy.FramewiseData.dump
+==========================
+
+.. currentmodule:: trackpy
+
+.. automethod:: FramewiseData.dump
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.FramewiseData.frames.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.FramewiseData.frames.rst.txt
new file mode 100644
index 00000000..cb020c95
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.FramewiseData.frames.rst.txt
@@ -0,0 +1,6 @@
+trackpy.FramewiseData.frames
+============================
+
+.. currentmodule:: trackpy
+
+.. autoproperty:: FramewiseData.frames
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.FramewiseData.get.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.FramewiseData.get.rst.txt
new file mode 100644
index 00000000..c558f0a9
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.FramewiseData.get.rst.txt
@@ -0,0 +1,6 @@
+trackpy.FramewiseData.get
+=========================
+
+.. currentmodule:: trackpy
+
+.. automethod:: FramewiseData.get
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.FramewiseData.max_frame.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.FramewiseData.max_frame.rst.txt
new file mode 100644
index 00000000..6f85f7ef
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.FramewiseData.max_frame.rst.txt
@@ -0,0 +1,6 @@
+trackpy.FramewiseData.max\_frame
+================================
+
+.. currentmodule:: trackpy
+
+.. autoproperty:: FramewiseData.max_frame
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.FramewiseData.put.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.FramewiseData.put.rst.txt
new file mode 100644
index 00000000..6b86b204
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.FramewiseData.put.rst.txt
@@ -0,0 +1,6 @@
+trackpy.FramewiseData.put
+=========================
+
+.. currentmodule:: trackpy
+
+.. automethod:: FramewiseData.put
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.FramewiseData.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.FramewiseData.rst.txt
new file mode 100644
index 00000000..ad73beda
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.FramewiseData.rst.txt
@@ -0,0 +1,34 @@
+trackpy.FramewiseData
+=====================
+
+.. currentmodule:: trackpy
+
+.. autoclass:: FramewiseData
+
+   
+
+
+  .. HACK -- the point here is that we don't want this to appear in the output, but the autosummary should still generate the pages.
+      .. autosummary::
+         :toctree:
+      
+         FramewiseData.close
+         FramewiseData.dump
+         FramewiseData.get
+         FramewiseData.put
+
+
+
+
+   
+
+
+   .. HACK -- the point here is that we don't want this to appear in the output, but the autosummary should still generate the pages.
+      .. autosummary::
+         :toctree:
+      
+         FramewiseData.frames
+         FramewiseData.max_frame
+         FramewiseData.t_column
+
+
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.FramewiseData.t_column.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.FramewiseData.t_column.rst.txt
new file mode 100644
index 00000000..6eb9359b
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.FramewiseData.t_column.rst.txt
@@ -0,0 +1,6 @@
+trackpy.FramewiseData.t\_column
+===============================
+
+.. currentmodule:: trackpy
+
+.. autoproperty:: FramewiseData.t_column
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStore.close.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStore.close.rst.txt
new file mode 100644
index 00000000..ba1dbdc5
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStore.close.rst.txt
@@ -0,0 +1,6 @@
+trackpy.PandasHDFStore.close
+============================
+
+.. currentmodule:: trackpy
+
+.. automethod:: PandasHDFStore.close
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStore.dump.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStore.dump.rst.txt
new file mode 100644
index 00000000..996585b6
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStore.dump.rst.txt
@@ -0,0 +1,6 @@
+trackpy.PandasHDFStore.dump
+===========================
+
+.. currentmodule:: trackpy
+
+.. automethod:: PandasHDFStore.dump
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStore.frames.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStore.frames.rst.txt
new file mode 100644
index 00000000..f55a1d91
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStore.frames.rst.txt
@@ -0,0 +1,6 @@
+trackpy.PandasHDFStore.frames
+=============================
+
+.. currentmodule:: trackpy
+
+.. autoproperty:: PandasHDFStore.frames
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStore.get.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStore.get.rst.txt
new file mode 100644
index 00000000..cd8a193d
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStore.get.rst.txt
@@ -0,0 +1,6 @@
+trackpy.PandasHDFStore.get
+==========================
+
+.. currentmodule:: trackpy
+
+.. automethod:: PandasHDFStore.get
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStore.max_frame.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStore.max_frame.rst.txt
new file mode 100644
index 00000000..49f92320
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStore.max_frame.rst.txt
@@ -0,0 +1,6 @@
+trackpy.PandasHDFStore.max\_frame
+=================================
+
+.. currentmodule:: trackpy
+
+.. autoproperty:: PandasHDFStore.max_frame
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStore.put.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStore.put.rst.txt
new file mode 100644
index 00000000..1f8734a4
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStore.put.rst.txt
@@ -0,0 +1,6 @@
+trackpy.PandasHDFStore.put
+==========================
+
+.. currentmodule:: trackpy
+
+.. automethod:: PandasHDFStore.put
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStore.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStore.rst.txt
new file mode 100644
index 00000000..80dcda45
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStore.rst.txt
@@ -0,0 +1,34 @@
+trackpy.PandasHDFStore
+======================
+
+.. currentmodule:: trackpy
+
+.. autoclass:: PandasHDFStore
+
+   
+
+
+  .. HACK -- the point here is that we don't want this to appear in the output, but the autosummary should still generate the pages.
+      .. autosummary::
+         :toctree:
+      
+         PandasHDFStore.close
+         PandasHDFStore.dump
+         PandasHDFStore.get
+         PandasHDFStore.put
+
+
+
+
+   
+
+
+   .. HACK -- the point here is that we don't want this to appear in the output, but the autosummary should still generate the pages.
+      .. autosummary::
+         :toctree:
+      
+         PandasHDFStore.frames
+         PandasHDFStore.max_frame
+         PandasHDFStore.t_column
+
+
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStore.t_column.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStore.t_column.rst.txt
new file mode 100644
index 00000000..51b1dc08
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStore.t_column.rst.txt
@@ -0,0 +1,6 @@
+trackpy.PandasHDFStore.t\_column
+================================
+
+.. currentmodule:: trackpy
+
+.. autoproperty:: PandasHDFStore.t_column
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStoreBig.close.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStoreBig.close.rst.txt
new file mode 100644
index 00000000..ffa17b9d
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStoreBig.close.rst.txt
@@ -0,0 +1,6 @@
+trackpy.PandasHDFStoreBig.close
+===============================
+
+.. currentmodule:: trackpy
+
+.. automethod:: PandasHDFStoreBig.close
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStoreBig.dump.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStoreBig.dump.rst.txt
new file mode 100644
index 00000000..a7ef9a90
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStoreBig.dump.rst.txt
@@ -0,0 +1,6 @@
+trackpy.PandasHDFStoreBig.dump
+==============================
+
+.. currentmodule:: trackpy
+
+.. automethod:: PandasHDFStoreBig.dump
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStoreBig.frames.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStoreBig.frames.rst.txt
new file mode 100644
index 00000000..175fd2eb
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStoreBig.frames.rst.txt
@@ -0,0 +1,6 @@
+trackpy.PandasHDFStoreBig.frames
+================================
+
+.. currentmodule:: trackpy
+
+.. autoproperty:: PandasHDFStoreBig.frames
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStoreBig.get.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStoreBig.get.rst.txt
new file mode 100644
index 00000000..29a5df7e
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStoreBig.get.rst.txt
@@ -0,0 +1,6 @@
+trackpy.PandasHDFStoreBig.get
+=============================
+
+.. currentmodule:: trackpy
+
+.. automethod:: PandasHDFStoreBig.get
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStoreBig.max_frame.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStoreBig.max_frame.rst.txt
new file mode 100644
index 00000000..4157c6d7
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStoreBig.max_frame.rst.txt
@@ -0,0 +1,6 @@
+trackpy.PandasHDFStoreBig.max\_frame
+====================================
+
+.. currentmodule:: trackpy
+
+.. autoproperty:: PandasHDFStoreBig.max_frame
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStoreBig.put.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStoreBig.put.rst.txt
new file mode 100644
index 00000000..19fe9482
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStoreBig.put.rst.txt
@@ -0,0 +1,6 @@
+trackpy.PandasHDFStoreBig.put
+=============================
+
+.. currentmodule:: trackpy
+
+.. automethod:: PandasHDFStoreBig.put
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStoreBig.rebuild_cache.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStoreBig.rebuild_cache.rst.txt
new file mode 100644
index 00000000..d7e8fdbe
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStoreBig.rebuild_cache.rst.txt
@@ -0,0 +1,6 @@
+trackpy.PandasHDFStoreBig.rebuild\_cache
+========================================
+
+.. currentmodule:: trackpy
+
+.. automethod:: PandasHDFStoreBig.rebuild_cache
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStoreBig.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStoreBig.rst.txt
new file mode 100644
index 00000000..40a2cf68
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStoreBig.rst.txt
@@ -0,0 +1,35 @@
+trackpy.PandasHDFStoreBig
+=========================
+
+.. currentmodule:: trackpy
+
+.. autoclass:: PandasHDFStoreBig
+
+   
+
+
+  .. HACK -- the point here is that we don't want this to appear in the output, but the autosummary should still generate the pages.
+      .. autosummary::
+         :toctree:
+      
+         PandasHDFStoreBig.close
+         PandasHDFStoreBig.dump
+         PandasHDFStoreBig.get
+         PandasHDFStoreBig.put
+         PandasHDFStoreBig.rebuild_cache
+
+
+
+
+   
+
+
+   .. HACK -- the point here is that we don't want this to appear in the output, but the autosummary should still generate the pages.
+      .. autosummary::
+         :toctree:
+      
+         PandasHDFStoreBig.frames
+         PandasHDFStoreBig.max_frame
+         PandasHDFStoreBig.t_column
+
+
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStoreBig.t_column.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStoreBig.t_column.rst.txt
new file mode 100644
index 00000000..44d61db1
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStoreBig.t_column.rst.txt
@@ -0,0 +1,6 @@
+trackpy.PandasHDFStoreBig.t\_column
+===================================
+
+.. currentmodule:: trackpy
+
+.. autoproperty:: PandasHDFStoreBig.t_column
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStoreSingleNode.close.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStoreSingleNode.close.rst.txt
new file mode 100644
index 00000000..a6d3f685
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStoreSingleNode.close.rst.txt
@@ -0,0 +1,6 @@
+trackpy.PandasHDFStoreSingleNode.close
+======================================
+
+.. currentmodule:: trackpy
+
+.. automethod:: PandasHDFStoreSingleNode.close
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStoreSingleNode.dump.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStoreSingleNode.dump.rst.txt
new file mode 100644
index 00000000..9df446d3
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStoreSingleNode.dump.rst.txt
@@ -0,0 +1,6 @@
+trackpy.PandasHDFStoreSingleNode.dump
+=====================================
+
+.. currentmodule:: trackpy
+
+.. automethod:: PandasHDFStoreSingleNode.dump
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStoreSingleNode.frames.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStoreSingleNode.frames.rst.txt
new file mode 100644
index 00000000..ec602910
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStoreSingleNode.frames.rst.txt
@@ -0,0 +1,6 @@
+trackpy.PandasHDFStoreSingleNode.frames
+=======================================
+
+.. currentmodule:: trackpy
+
+.. autoproperty:: PandasHDFStoreSingleNode.frames
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStoreSingleNode.get.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStoreSingleNode.get.rst.txt
new file mode 100644
index 00000000..1a706e5f
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStoreSingleNode.get.rst.txt
@@ -0,0 +1,6 @@
+trackpy.PandasHDFStoreSingleNode.get
+====================================
+
+.. currentmodule:: trackpy
+
+.. automethod:: PandasHDFStoreSingleNode.get
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStoreSingleNode.max_frame.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStoreSingleNode.max_frame.rst.txt
new file mode 100644
index 00000000..aec6b5b1
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStoreSingleNode.max_frame.rst.txt
@@ -0,0 +1,6 @@
+trackpy.PandasHDFStoreSingleNode.max\_frame
+===========================================
+
+.. currentmodule:: trackpy
+
+.. autoproperty:: PandasHDFStoreSingleNode.max_frame
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStoreSingleNode.put.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStoreSingleNode.put.rst.txt
new file mode 100644
index 00000000..e177134a
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStoreSingleNode.put.rst.txt
@@ -0,0 +1,6 @@
+trackpy.PandasHDFStoreSingleNode.put
+====================================
+
+.. currentmodule:: trackpy
+
+.. automethod:: PandasHDFStoreSingleNode.put
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStoreSingleNode.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStoreSingleNode.rst.txt
new file mode 100644
index 00000000..465841ad
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStoreSingleNode.rst.txt
@@ -0,0 +1,34 @@
+trackpy.PandasHDFStoreSingleNode
+================================
+
+.. currentmodule:: trackpy
+
+.. autoclass:: PandasHDFStoreSingleNode
+
+   
+
+
+  .. HACK -- the point here is that we don't want this to appear in the output, but the autosummary should still generate the pages.
+      .. autosummary::
+         :toctree:
+      
+         PandasHDFStoreSingleNode.close
+         PandasHDFStoreSingleNode.dump
+         PandasHDFStoreSingleNode.get
+         PandasHDFStoreSingleNode.put
+
+
+
+
+   
+
+
+   .. HACK -- the point here is that we don't want this to appear in the output, but the autosummary should still generate the pages.
+      .. autosummary::
+         :toctree:
+      
+         PandasHDFStoreSingleNode.frames
+         PandasHDFStoreSingleNode.max_frame
+         PandasHDFStoreSingleNode.t_column
+
+
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStoreSingleNode.t_column.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStoreSingleNode.t_column.rst.txt
new file mode 100644
index 00000000..f411c520
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.PandasHDFStoreSingleNode.t_column.rst.txt
@@ -0,0 +1,6 @@
+trackpy.PandasHDFStoreSingleNode.t\_column
+==========================================
+
+.. currentmodule:: trackpy
+
+.. autoproperty:: PandasHDFStoreSingleNode.t_column
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.SubnetOversizeException.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.SubnetOversizeException.rst.txt
new file mode 100644
index 00000000..529d4351
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.SubnetOversizeException.rst.txt
@@ -0,0 +1,6 @@
+trackpy.SubnetOversizeException
+===============================
+
+.. currentmodule:: trackpy
+
+.. autoexception:: SubnetOversizeException
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.annotate.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.annotate.rst.txt
new file mode 100644
index 00000000..a66bd4e3
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.annotate.rst.txt
@@ -0,0 +1,6 @@
+trackpy.annotate
+================
+
+.. currentmodule:: trackpy
+
+.. autofunction:: annotate
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.annotate3d.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.annotate3d.rst.txt
new file mode 100644
index 00000000..d1cf6ac1
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.annotate3d.rst.txt
@@ -0,0 +1,6 @@
+trackpy.annotate3d
+==================
+
+.. currentmodule:: trackpy
+
+.. autofunction:: annotate3d
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.api.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.api.rst.txt
new file mode 100644
index 00000000..30ea166b
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.api.rst.txt
@@ -0,0 +1,23 @@
+trackpy.api
+===========
+
+.. automodule:: trackpy.api
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.artificial.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.artificial.rst.txt
new file mode 100644
index 00000000..0f93b4d8
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.artificial.rst.txt
@@ -0,0 +1,51 @@
+trackpy.artificial
+==================
+
+.. automodule:: trackpy.artificial
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Functions
+
+   .. autosummary::
+   
+      draw_array
+      draw_cluster
+      draw_feature
+      draw_features_brightfield
+      draw_point
+      draw_spots
+      feat_brightfield
+      feat_disc
+      feat_gauss
+      feat_hat
+      feat_ring
+      feat_step
+      gen_connected_locations
+      gen_nonoverlapping_locations
+      gen_random_locations
+      rot_2d
+      rot_3d
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+   
+      SimulatedImage
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.batch.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.batch.rst.txt
new file mode 100644
index 00000000..15d777c8
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.batch.rst.txt
@@ -0,0 +1,6 @@
+trackpy.batch
+=============
+
+.. currentmodule:: trackpy
+
+.. autofunction:: batch
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.diag.dependencies.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.diag.dependencies.rst.txt
new file mode 100644
index 00000000..3c30f663
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.diag.dependencies.rst.txt
@@ -0,0 +1,6 @@
+trackpy.diag.dependencies
+=========================
+
+.. currentmodule:: trackpy.diag
+
+.. autofunction:: dependencies
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.diag.performance_report.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.diag.performance_report.rst.txt
new file mode 100644
index 00000000..906b7a7f
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.diag.performance_report.rst.txt
@@ -0,0 +1,6 @@
+trackpy.diag.performance\_report
+================================
+
+.. currentmodule:: trackpy.diag
+
+.. autofunction:: performance_report
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.diag.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.diag.rst.txt
new file mode 100644
index 00000000..ccb9f933
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.diag.rst.txt
@@ -0,0 +1,30 @@
+trackpy.diag
+============
+
+.. automodule:: trackpy.diag
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Functions
+
+   .. autosummary::
+   
+      dependencies
+      performance_report
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.disable_numba.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.disable_numba.rst.txt
new file mode 100644
index 00000000..d6c6f525
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.disable_numba.rst.txt
@@ -0,0 +1,6 @@
+trackpy.disable\_numba
+======================
+
+.. currentmodule:: trackpy
+
+.. autofunction:: disable_numba
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.enable_numba.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.enable_numba.rst.txt
new file mode 100644
index 00000000..1f390c8e
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.enable_numba.rst.txt
@@ -0,0 +1,6 @@
+trackpy.enable\_numba
+=====================
+
+.. currentmodule:: trackpy
+
+.. autofunction:: enable_numba
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.feature.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.feature.rst.txt
new file mode 100644
index 00000000..a389b4d9
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.feature.rst.txt
@@ -0,0 +1,37 @@
+trackpy.feature
+===============
+
+.. automodule:: trackpy.feature
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Functions
+
+   .. autosummary::
+   
+      batch
+      characterize
+      estimate_mass
+      estimate_size
+      local_maxima
+      locate
+      minmass_v03_change
+      minmass_v04_change
+      refine
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.filtering.filter_clusters.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.filtering.filter_clusters.rst.txt
new file mode 100644
index 00000000..f5e34745
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.filtering.filter_clusters.rst.txt
@@ -0,0 +1,6 @@
+trackpy.filtering.filter\_clusters
+==================================
+
+.. currentmodule:: trackpy.filtering
+
+.. autofunction:: filter_clusters
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.filtering.filter_stubs.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.filtering.filter_stubs.rst.txt
new file mode 100644
index 00000000..421fb616
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.filtering.filter_stubs.rst.txt
@@ -0,0 +1,6 @@
+trackpy.filtering.filter\_stubs
+===============================
+
+.. currentmodule:: trackpy.filtering
+
+.. autofunction:: filter_stubs
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.filtering.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.filtering.rst.txt
new file mode 100644
index 00000000..a9f948d6
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.filtering.rst.txt
@@ -0,0 +1,33 @@
+trackpy.filtering
+=================
+
+.. automodule:: trackpy.filtering
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Functions
+
+   .. autosummary::
+   
+      bust_clusters
+      bust_ghosts
+      filter
+      filter_clusters
+      filter_stubs
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.find.percentile_threshold.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.find.percentile_threshold.rst.txt
new file mode 100644
index 00000000..9fb4b5ee
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.find.percentile_threshold.rst.txt
@@ -0,0 +1,6 @@
+trackpy.find.percentile\_threshold
+==================================
+
+.. currentmodule:: trackpy.find
+
+.. autofunction:: percentile_threshold
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.find.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.find.rst.txt
new file mode 100644
index 00000000..e3981c02
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.find.rst.txt
@@ -0,0 +1,33 @@
+trackpy.find
+============
+
+.. automodule:: trackpy.find
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Functions
+
+   .. autosummary::
+   
+      drop_close
+      grey_dilation
+      grey_dilation_legacy
+      percentile_threshold
+      where_close
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.find_link.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.find_link.rst.txt
new file mode 100644
index 00000000..d07c0ce8
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.find_link.rst.txt
@@ -0,0 +1,6 @@
+trackpy.find\_link
+==================
+
+.. currentmodule:: trackpy
+
+.. autofunction:: find_link
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.framewise_data.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.framewise_data.rst.txt
new file mode 100644
index 00000000..3f748205
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.framewise_data.rst.txt
@@ -0,0 +1,39 @@
+trackpy.framewise\_data
+=======================
+
+.. automodule:: trackpy.framewise_data
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Functions
+
+   .. autosummary::
+   
+      code_key
+      decode_key
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+   
+      FramewiseData
+      PandasHDFStore
+      PandasHDFStoreBig
+      PandasHDFStoreSingleNode
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.grey_dilation.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.grey_dilation.rst.txt
new file mode 100644
index 00000000..849d0c9f
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.grey_dilation.rst.txt
@@ -0,0 +1,6 @@
+trackpy.grey\_dilation
+======================
+
+.. currentmodule:: trackpy
+
+.. autofunction:: grey_dilation
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.handle_logging.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.handle_logging.rst.txt
new file mode 100644
index 00000000..c3d79b00
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.handle_logging.rst.txt
@@ -0,0 +1,6 @@
+trackpy.handle\_logging
+=======================
+
+.. currentmodule:: trackpy
+
+.. autofunction:: handle_logging
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.ignore_logging.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.ignore_logging.rst.txt
new file mode 100644
index 00000000..44b891f8
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.ignore_logging.rst.txt
@@ -0,0 +1,6 @@
+trackpy.ignore\_logging
+=======================
+
+.. currentmodule:: trackpy
+
+.. autofunction:: ignore_logging
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.link.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.link.rst.txt
new file mode 100644
index 00000000..e96c6375
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.link.rst.txt
@@ -0,0 +1,6 @@
+trackpy.link
+============
+
+.. currentmodule:: trackpy
+
+.. autofunction:: link
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.link_df_iter.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.link_df_iter.rst.txt
new file mode 100644
index 00000000..0b9c73a0
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.link_df_iter.rst.txt
@@ -0,0 +1,6 @@
+trackpy.link\_df\_iter
+======================
+
+.. currentmodule:: trackpy
+
+.. autofunction:: link_df_iter
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.link_iter.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.link_iter.rst.txt
new file mode 100644
index 00000000..cd6b6cd2
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.link_iter.rst.txt
@@ -0,0 +1,6 @@
+trackpy.link\_iter
+==================
+
+.. currentmodule:: trackpy
+
+.. autofunction:: link_iter
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.link_partial.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.link_partial.rst.txt
new file mode 100644
index 00000000..eeab74e6
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.link_partial.rst.txt
@@ -0,0 +1,6 @@
+trackpy.link\_partial
+=====================
+
+.. currentmodule:: trackpy
+
+.. autofunction:: link_partial
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.linking.find_link.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.linking.find_link.rst.txt
new file mode 100644
index 00000000..457f429a
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.linking.find_link.rst.txt
@@ -0,0 +1,6 @@
+trackpy.linking.find\_link
+==========================
+
+.. currentmodule:: trackpy.linking
+
+.. autofunction:: find_link
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.linking.legacy.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.linking.legacy.rst.txt
new file mode 100644
index 00000000..6adecf2b
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.linking.legacy.rst.txt
@@ -0,0 +1,48 @@
+trackpy.linking.legacy
+======================
+
+.. automodule:: trackpy.linking.legacy
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Functions
+
+   .. autosummary::
+   
+      assign_candidates
+      link
+      link_df
+      link_df_iter
+      link_iter
+      strip_diagnostics
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+   
+      HashTable
+      Hash_table
+      Linker
+      Point
+      PointDiagnostics
+      PointND
+      PointNDDiagnostics
+      Track
+      TreeFinder
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.linking.linking.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.linking.linking.rst.txt
new file mode 100644
index 00000000..7e31c3f9
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.linking.linking.rst.txt
@@ -0,0 +1,39 @@
+trackpy.linking.linking
+=======================
+
+.. automodule:: trackpy.linking.linking
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Functions
+
+   .. autosummary::
+   
+      adaptive_link_wrap
+      link
+      link_df
+      link_df_iter
+      link_iter
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+   
+      Linker
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.linking.partial.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.linking.partial.rst.txt
new file mode 100644
index 00000000..e549c706
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.linking.partial.rst.txt
@@ -0,0 +1,31 @@
+trackpy.linking.partial
+=======================
+
+.. automodule:: trackpy.linking.partial
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Functions
+
+   .. autosummary::
+   
+      coords_from_df_partial
+      link_partial
+      reconnect_traj_patch
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.linking.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.linking.rst.txt
new file mode 100644
index 00000000..1edc6eb5
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.linking.rst.txt
@@ -0,0 +1,37 @@
+trackpy.linking
+===============
+
+.. automodule:: trackpy.linking
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+
+
+.. rubric:: Modules
+
+.. autosummary::
+   :toctree:
+   :recursive:
+
+   trackpy.linking.find_link
+   trackpy.linking.legacy
+   trackpy.linking.linking
+   trackpy.linking.partial
+   trackpy.linking.subnet
+   trackpy.linking.subnetlinker
+   trackpy.linking.utils
+
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.linking.subnet.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.linking.subnet.rst.txt
new file mode 100644
index 00000000..51e47674
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.linking.subnet.rst.txt
@@ -0,0 +1,39 @@
+trackpy.linking.subnet
+======================
+
+.. automodule:: trackpy.linking.subnet
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Functions
+
+   .. autosummary::
+   
+      assign_subnet
+      split_subnet
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+   
+      HashBTree
+      HashBase
+      HashKDTree
+      Subnets
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.linking.subnetlinker.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.linking.subnetlinker.rst.txt
new file mode 100644
index 00000000..13693430
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.linking.subnetlinker.rst.txt
@@ -0,0 +1,42 @@
+trackpy.linking.subnetlinker
+============================
+
+.. automodule:: trackpy.linking.subnetlinker
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Functions
+
+   .. autosummary::
+   
+      drop_link
+      nonrecursive_link
+      numba_link
+      recursive_linker_obj
+      subnet_linker_drop
+      subnet_linker_nonrecursive
+      subnet_linker_numba
+      subnet_linker_recursive
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+   
+      SubnetLinker
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.linking.utils.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.linking.utils.rst.txt
new file mode 100644
index 00000000..dd447308
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.linking.utils.rst.txt
@@ -0,0 +1,47 @@
+trackpy.linking.utils
+=====================
+
+.. automodule:: trackpy.linking.utils
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Functions
+
+   .. autosummary::
+   
+      coords_from_df
+      coords_from_df_iter
+      points_from_arr
+      points_to_arr
+      verify_integrity
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+   
+      Point
+      TrackUnstored
+   
+   
+
+   
+   
+   .. rubric:: Exceptions
+
+   .. autosummary::
+   
+      SubnetOversizeException
+      UnknownLinkingError
+   
+   
+
+
+
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.locate.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.locate.rst.txt
new file mode 100644
index 00000000..91b5b905
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.locate.rst.txt
@@ -0,0 +1,6 @@
+trackpy.locate
+==============
+
+.. currentmodule:: trackpy
+
+.. autofunction:: locate
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.locate_functions.brightfield_ring.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.locate_functions.brightfield_ring.rst.txt
new file mode 100644
index 00000000..0cb01d8e
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.locate_functions.brightfield_ring.rst.txt
@@ -0,0 +1,29 @@
+trackpy.locate\_functions.brightfield\_ring
+===========================================
+
+.. automodule:: trackpy.locate_functions.brightfield_ring
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Functions
+
+   .. autosummary::
+   
+      locate_brightfield_ring
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.locate_functions.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.locate_functions.rst.txt
new file mode 100644
index 00000000..3e50a5b0
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.locate_functions.rst.txt
@@ -0,0 +1,31 @@
+trackpy.locate\_functions
+=========================
+
+.. automodule:: trackpy.locate_functions
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+
+
+.. rubric:: Modules
+
+.. autosummary::
+   :toctree:
+   :recursive:
+
+   trackpy.locate_functions.brightfield_ring
+
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.masks.binary_mask.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.masks.binary_mask.rst.txt
new file mode 100644
index 00000000..4c9f777e
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.masks.binary_mask.rst.txt
@@ -0,0 +1,6 @@
+trackpy.masks.binary\_mask
+==========================
+
+.. currentmodule:: trackpy.masks
+
+.. autofunction:: binary_mask
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.masks.cosmask.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.masks.cosmask.rst.txt
new file mode 100644
index 00000000..49afc9c5
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.masks.cosmask.rst.txt
@@ -0,0 +1,6 @@
+trackpy.masks.cosmask
+=====================
+
+.. currentmodule:: trackpy.masks
+
+.. autofunction:: cosmask
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.masks.gaussian_kernel.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.masks.gaussian_kernel.rst.txt
new file mode 100644
index 00000000..03c8ba2e
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.masks.gaussian_kernel.rst.txt
@@ -0,0 +1,6 @@
+trackpy.masks.gaussian\_kernel
+==============================
+
+.. currentmodule:: trackpy.masks
+
+.. autofunction:: gaussian_kernel
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.masks.mask_image.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.masks.mask_image.rst.txt
new file mode 100644
index 00000000..ae051a2c
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.masks.mask_image.rst.txt
@@ -0,0 +1,6 @@
+trackpy.masks.mask\_image
+=========================
+
+.. currentmodule:: trackpy.masks
+
+.. autofunction:: mask_image
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.masks.r_squared_mask.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.masks.r_squared_mask.rst.txt
new file mode 100644
index 00000000..2f6995a5
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.masks.r_squared_mask.rst.txt
@@ -0,0 +1,6 @@
+trackpy.masks.r\_squared\_mask
+==============================
+
+.. currentmodule:: trackpy.masks
+
+.. autofunction:: r_squared_mask
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.masks.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.masks.rst.txt
new file mode 100644
index 00000000..e564c445
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.masks.rst.txt
@@ -0,0 +1,40 @@
+trackpy.masks
+=============
+
+.. automodule:: trackpy.masks
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Functions
+
+   .. autosummary::
+   
+      N_binary_mask
+      binary_mask
+      cosmask
+      gaussian_kernel
+      get_mask
+      get_slice
+      mask_image
+      r_squared_mask
+      sinmask
+      slice_image
+      theta_mask
+      x_squared_masks
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.masks.sinmask.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.masks.sinmask.rst.txt
new file mode 100644
index 00000000..5a9978ea
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.masks.sinmask.rst.txt
@@ -0,0 +1,6 @@
+trackpy.masks.sinmask
+=====================
+
+.. currentmodule:: trackpy.masks
+
+.. autofunction:: sinmask
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.masks.slice_image.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.masks.slice_image.rst.txt
new file mode 100644
index 00000000..13e386d4
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.masks.slice_image.rst.txt
@@ -0,0 +1,6 @@
+trackpy.masks.slice\_image
+==========================
+
+.. currentmodule:: trackpy.masks
+
+.. autofunction:: slice_image
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.masks.theta_mask.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.masks.theta_mask.rst.txt
new file mode 100644
index 00000000..a9d6c26a
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.masks.theta_mask.rst.txt
@@ -0,0 +1,6 @@
+trackpy.masks.theta\_mask
+=========================
+
+.. currentmodule:: trackpy.masks
+
+.. autofunction:: theta_mask
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.masks.x_squared_masks.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.masks.x_squared_masks.rst.txt
new file mode 100644
index 00000000..e81c2cf8
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.masks.x_squared_masks.rst.txt
@@ -0,0 +1,6 @@
+trackpy.masks.x\_squared\_masks
+===============================
+
+.. currentmodule:: trackpy.masks
+
+.. autofunction:: x_squared_masks
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.mass_ecc.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.mass_ecc.rst.txt
new file mode 100644
index 00000000..fe24a5b0
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.mass_ecc.rst.txt
@@ -0,0 +1,6 @@
+trackpy.mass\_ecc
+=================
+
+.. currentmodule:: trackpy
+
+.. autofunction:: mass_ecc
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.mass_size.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.mass_size.rst.txt
new file mode 100644
index 00000000..3d9b7dc8
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.mass_size.rst.txt
@@ -0,0 +1,6 @@
+trackpy.mass\_size
+==================
+
+.. currentmodule:: trackpy
+
+.. autofunction:: mass_size
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.minmass_v03_change.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.minmass_v03_change.rst.txt
new file mode 100644
index 00000000..df180192
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.minmass_v03_change.rst.txt
@@ -0,0 +1,6 @@
+trackpy.minmass\_v03\_change
+============================
+
+.. currentmodule:: trackpy
+
+.. autofunction:: minmass_v03_change
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.minmass_v04_change.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.minmass_v04_change.rst.txt
new file mode 100644
index 00000000..a4a2a2da
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.minmass_v04_change.rst.txt
@@ -0,0 +1,6 @@
+trackpy.minmass\_v04\_change
+============================
+
+.. currentmodule:: trackpy
+
+.. autofunction:: minmass_v04_change
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.motion.compute_drift.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.motion.compute_drift.rst.txt
new file mode 100644
index 00000000..66895320
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.motion.compute_drift.rst.txt
@@ -0,0 +1,6 @@
+trackpy.motion.compute\_drift
+=============================
+
+.. currentmodule:: trackpy.motion
+
+.. autofunction:: compute_drift
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.motion.diagonal_size.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.motion.diagonal_size.rst.txt
new file mode 100644
index 00000000..c782163d
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.motion.diagonal_size.rst.txt
@@ -0,0 +1,6 @@
+trackpy.motion.diagonal\_size
+=============================
+
+.. currentmodule:: trackpy.motion
+
+.. autofunction:: diagonal_size
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.motion.direction_corr.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.motion.direction_corr.rst.txt
new file mode 100644
index 00000000..3b188d8f
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.motion.direction_corr.rst.txt
@@ -0,0 +1,6 @@
+trackpy.motion.direction\_corr
+==============================
+
+.. currentmodule:: trackpy.motion
+
+.. autofunction:: direction_corr
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.motion.emsd.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.motion.emsd.rst.txt
new file mode 100644
index 00000000..245d26c5
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.motion.emsd.rst.txt
@@ -0,0 +1,6 @@
+trackpy.motion.emsd
+===================
+
+.. currentmodule:: trackpy.motion
+
+.. autofunction:: emsd
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.motion.imsd.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.motion.imsd.rst.txt
new file mode 100644
index 00000000..b0909b69
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.motion.imsd.rst.txt
@@ -0,0 +1,6 @@
+trackpy.motion.imsd
+===================
+
+.. currentmodule:: trackpy.motion
+
+.. autofunction:: imsd
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.motion.is_typical.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.motion.is_typical.rst.txt
new file mode 100644
index 00000000..4c2b6d9d
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.motion.is_typical.rst.txt
@@ -0,0 +1,6 @@
+trackpy.motion.is\_typical
+==========================
+
+.. currentmodule:: trackpy.motion
+
+.. autofunction:: is_typical
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.motion.min_rolling_theta_entropy.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.motion.min_rolling_theta_entropy.rst.txt
new file mode 100644
index 00000000..446db006
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.motion.min_rolling_theta_entropy.rst.txt
@@ -0,0 +1,6 @@
+trackpy.motion.min\_rolling\_theta\_entropy
+===========================================
+
+.. currentmodule:: trackpy.motion
+
+.. autofunction:: min_rolling_theta_entropy
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.motion.msd.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.motion.msd.rst.txt
new file mode 100644
index 00000000..e3f7b3f6
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.motion.msd.rst.txt
@@ -0,0 +1,6 @@
+trackpy.motion.msd
+==================
+
+.. currentmodule:: trackpy.motion
+
+.. autofunction:: msd
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.motion.relate_frames.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.motion.relate_frames.rst.txt
new file mode 100644
index 00000000..25148ed3
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.motion.relate_frames.rst.txt
@@ -0,0 +1,6 @@
+trackpy.motion.relate\_frames
+=============================
+
+.. currentmodule:: trackpy.motion
+
+.. autofunction:: relate_frames
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.motion.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.motion.rst.txt
new file mode 100644
index 00000000..a6f6a0d3
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.motion.rst.txt
@@ -0,0 +1,45 @@
+trackpy.motion
+==============
+
+.. automodule:: trackpy.motion
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Functions
+
+   .. autosummary::
+   
+      compute_drift
+      diagonal_size
+      direction_corr
+      emsd
+      imsd
+      is_diffusive
+      is_localized
+      is_typical
+      min_rolling_theta_entropy
+      msd
+      proximity
+      relate_frames
+      shannon_entropy
+      subtract_drift
+      theta_entropy
+      vanhove
+      velocity_corr
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.motion.subtract_drift.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.motion.subtract_drift.rst.txt
new file mode 100644
index 00000000..670c16d5
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.motion.subtract_drift.rst.txt
@@ -0,0 +1,6 @@
+trackpy.motion.subtract\_drift
+==============================
+
+.. currentmodule:: trackpy.motion
+
+.. autofunction:: subtract_drift
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.motion.theta_entropy.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.motion.theta_entropy.rst.txt
new file mode 100644
index 00000000..c422d961
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.motion.theta_entropy.rst.txt
@@ -0,0 +1,6 @@
+trackpy.motion.theta\_entropy
+=============================
+
+.. currentmodule:: trackpy.motion
+
+.. autofunction:: theta_entropy
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.motion.vanhove.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.motion.vanhove.rst.txt
new file mode 100644
index 00000000..58c838db
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.motion.vanhove.rst.txt
@@ -0,0 +1,6 @@
+trackpy.motion.vanhove
+======================
+
+.. currentmodule:: trackpy.motion
+
+.. autofunction:: vanhove
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.motion.velocity_corr.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.motion.velocity_corr.rst.txt
new file mode 100644
index 00000000..6f1c6ff3
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.motion.velocity_corr.rst.txt
@@ -0,0 +1,6 @@
+trackpy.motion.velocity\_corr
+=============================
+
+.. currentmodule:: trackpy.motion
+
+.. autofunction:: velocity_corr
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.plot_density_profile.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.plot_density_profile.rst.txt
new file mode 100644
index 00000000..aeff606d
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.plot_density_profile.rst.txt
@@ -0,0 +1,6 @@
+trackpy.plot\_density\_profile
+==============================
+
+.. currentmodule:: trackpy
+
+.. autofunction:: plot_density_profile
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.plot_displacements.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.plot_displacements.rst.txt
new file mode 100644
index 00000000..a02c1df0
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.plot_displacements.rst.txt
@@ -0,0 +1,6 @@
+trackpy.plot\_displacements
+===========================
+
+.. currentmodule:: trackpy
+
+.. autofunction:: plot_displacements
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.plot_traj.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.plot_traj.rst.txt
new file mode 100644
index 00000000..08372e29
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.plot_traj.rst.txt
@@ -0,0 +1,6 @@
+trackpy.plot\_traj
+==================
+
+.. currentmodule:: trackpy
+
+.. autofunction:: plot_traj
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.plot_traj3d.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.plot_traj3d.rst.txt
new file mode 100644
index 00000000..ebed3f36
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.plot_traj3d.rst.txt
@@ -0,0 +1,6 @@
+trackpy.plot\_traj3d
+====================
+
+.. currentmodule:: trackpy
+
+.. autofunction:: plot_traj3d
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.plots.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.plots.rst.txt
new file mode 100644
index 00000000..9040b65a
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.plots.rst.txt
@@ -0,0 +1,48 @@
+trackpy.plots
+=============
+
+.. automodule:: trackpy.plots
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Functions
+
+   .. autosummary::
+   
+      annotate
+      annotate3d
+      examine_jumps
+      fit
+      invert_yaxis
+      make_axes
+      make_axes3d
+      make_fig
+      mass_ecc
+      mass_size
+      plot_density_profile
+      plot_displacements
+      plot_principal_axes
+      plot_traj
+      plot_traj3d
+      ptraj
+      ptraj3d
+      scatter
+      scatter3d
+      subpx_bias
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.predict.ChannelPredict.link_df.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.predict.ChannelPredict.link_df.rst.txt
new file mode 100644
index 00000000..73bb9e65
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.predict.ChannelPredict.link_df.rst.txt
@@ -0,0 +1,6 @@
+trackpy.predict.ChannelPredict.link\_df
+=======================================
+
+.. currentmodule:: trackpy.predict
+
+.. automethod:: ChannelPredict.link_df
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.predict.ChannelPredict.link_df_iter.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.predict.ChannelPredict.link_df_iter.rst.txt
new file mode 100644
index 00000000..7a17b0c3
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.predict.ChannelPredict.link_df_iter.rst.txt
@@ -0,0 +1,6 @@
+trackpy.predict.ChannelPredict.link\_df\_iter
+=============================================
+
+.. currentmodule:: trackpy.predict
+
+.. automethod:: ChannelPredict.link_df_iter
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.predict.ChannelPredict.observe.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.predict.ChannelPredict.observe.rst.txt
new file mode 100644
index 00000000..06c159f4
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.predict.ChannelPredict.observe.rst.txt
@@ -0,0 +1,6 @@
+trackpy.predict.ChannelPredict.observe
+======================================
+
+.. currentmodule:: trackpy.predict
+
+.. automethod:: ChannelPredict.observe
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.predict.ChannelPredict.predict.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.predict.ChannelPredict.predict.rst.txt
new file mode 100644
index 00000000..bbc47986
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.predict.ChannelPredict.predict.rst.txt
@@ -0,0 +1,6 @@
+trackpy.predict.ChannelPredict.predict
+======================================
+
+.. currentmodule:: trackpy.predict
+
+.. automethod:: ChannelPredict.predict
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.predict.ChannelPredict.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.predict.ChannelPredict.rst.txt
new file mode 100644
index 00000000..4bf70445
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.predict.ChannelPredict.rst.txt
@@ -0,0 +1,27 @@
+trackpy.predict.ChannelPredict
+==============================
+
+.. currentmodule:: trackpy.predict
+
+.. autoclass:: ChannelPredict
+
+   
+
+
+  .. HACK -- the point here is that we don't want this to appear in the output, but the autosummary should still generate the pages.
+      .. autosummary::
+         :toctree:
+      
+         ChannelPredict.link_df
+         ChannelPredict.link_df_iter
+         ChannelPredict.observe
+         ChannelPredict.predict
+         ChannelPredict.state
+         ChannelPredict.wrap
+         ChannelPredict.wrap_single
+
+
+
+
+   
+
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.predict.ChannelPredict.state.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.predict.ChannelPredict.state.rst.txt
new file mode 100644
index 00000000..f2276d65
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.predict.ChannelPredict.state.rst.txt
@@ -0,0 +1,6 @@
+trackpy.predict.ChannelPredict.state
+====================================
+
+.. currentmodule:: trackpy.predict
+
+.. automethod:: ChannelPredict.state
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.predict.ChannelPredict.wrap.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.predict.ChannelPredict.wrap.rst.txt
new file mode 100644
index 00000000..040ecfa0
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.predict.ChannelPredict.wrap.rst.txt
@@ -0,0 +1,6 @@
+trackpy.predict.ChannelPredict.wrap
+===================================
+
+.. currentmodule:: trackpy.predict
+
+.. automethod:: ChannelPredict.wrap
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.predict.ChannelPredict.wrap_single.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.predict.ChannelPredict.wrap_single.rst.txt
new file mode 100644
index 00000000..d056030d
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.predict.ChannelPredict.wrap_single.rst.txt
@@ -0,0 +1,6 @@
+trackpy.predict.ChannelPredict.wrap\_single
+===========================================
+
+.. currentmodule:: trackpy.predict
+
+.. automethod:: ChannelPredict.wrap_single
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.predict.DriftPredict.link_df.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.predict.DriftPredict.link_df.rst.txt
new file mode 100644
index 00000000..8f34a240
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.predict.DriftPredict.link_df.rst.txt
@@ -0,0 +1,6 @@
+trackpy.predict.DriftPredict.link\_df
+=====================================
+
+.. currentmodule:: trackpy.predict
+
+.. automethod:: DriftPredict.link_df
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.predict.DriftPredict.link_df_iter.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.predict.DriftPredict.link_df_iter.rst.txt
new file mode 100644
index 00000000..65a90ad4
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.predict.DriftPredict.link_df_iter.rst.txt
@@ -0,0 +1,6 @@
+trackpy.predict.DriftPredict.link\_df\_iter
+===========================================
+
+.. currentmodule:: trackpy.predict
+
+.. automethod:: DriftPredict.link_df_iter
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.predict.DriftPredict.observe.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.predict.DriftPredict.observe.rst.txt
new file mode 100644
index 00000000..cc7f26a1
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.predict.DriftPredict.observe.rst.txt
@@ -0,0 +1,6 @@
+trackpy.predict.DriftPredict.observe
+====================================
+
+.. currentmodule:: trackpy.predict
+
+.. automethod:: DriftPredict.observe
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.predict.DriftPredict.predict.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.predict.DriftPredict.predict.rst.txt
new file mode 100644
index 00000000..faa6a347
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.predict.DriftPredict.predict.rst.txt
@@ -0,0 +1,6 @@
+trackpy.predict.DriftPredict.predict
+====================================
+
+.. currentmodule:: trackpy.predict
+
+.. automethod:: DriftPredict.predict
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.predict.DriftPredict.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.predict.DriftPredict.rst.txt
new file mode 100644
index 00000000..7f9a94ff
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.predict.DriftPredict.rst.txt
@@ -0,0 +1,27 @@
+trackpy.predict.DriftPredict
+============================
+
+.. currentmodule:: trackpy.predict
+
+.. autoclass:: DriftPredict
+
+   
+
+
+  .. HACK -- the point here is that we don't want this to appear in the output, but the autosummary should still generate the pages.
+      .. autosummary::
+         :toctree:
+      
+         DriftPredict.link_df
+         DriftPredict.link_df_iter
+         DriftPredict.observe
+         DriftPredict.predict
+         DriftPredict.state
+         DriftPredict.wrap
+         DriftPredict.wrap_single
+
+
+
+
+   
+
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.predict.DriftPredict.state.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.predict.DriftPredict.state.rst.txt
new file mode 100644
index 00000000..4d2210cd
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.predict.DriftPredict.state.rst.txt
@@ -0,0 +1,6 @@
+trackpy.predict.DriftPredict.state
+==================================
+
+.. currentmodule:: trackpy.predict
+
+.. automethod:: DriftPredict.state
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.predict.DriftPredict.wrap.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.predict.DriftPredict.wrap.rst.txt
new file mode 100644
index 00000000..09736524
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.predict.DriftPredict.wrap.rst.txt
@@ -0,0 +1,6 @@
+trackpy.predict.DriftPredict.wrap
+=================================
+
+.. currentmodule:: trackpy.predict
+
+.. automethod:: DriftPredict.wrap
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.predict.DriftPredict.wrap_single.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.predict.DriftPredict.wrap_single.rst.txt
new file mode 100644
index 00000000..a019cbc2
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.predict.DriftPredict.wrap_single.rst.txt
@@ -0,0 +1,6 @@
+trackpy.predict.DriftPredict.wrap\_single
+=========================================
+
+.. currentmodule:: trackpy.predict
+
+.. automethod:: DriftPredict.wrap_single
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.predict.NearestVelocityPredict.link_df.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.predict.NearestVelocityPredict.link_df.rst.txt
new file mode 100644
index 00000000..6186414b
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.predict.NearestVelocityPredict.link_df.rst.txt
@@ -0,0 +1,6 @@
+trackpy.predict.NearestVelocityPredict.link\_df
+===============================================
+
+.. currentmodule:: trackpy.predict
+
+.. automethod:: NearestVelocityPredict.link_df
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.predict.NearestVelocityPredict.link_df_iter.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.predict.NearestVelocityPredict.link_df_iter.rst.txt
new file mode 100644
index 00000000..50c0a673
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.predict.NearestVelocityPredict.link_df_iter.rst.txt
@@ -0,0 +1,6 @@
+trackpy.predict.NearestVelocityPredict.link\_df\_iter
+=====================================================
+
+.. currentmodule:: trackpy.predict
+
+.. automethod:: NearestVelocityPredict.link_df_iter
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.predict.NearestVelocityPredict.observe.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.predict.NearestVelocityPredict.observe.rst.txt
new file mode 100644
index 00000000..d4ba71a2
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.predict.NearestVelocityPredict.observe.rst.txt
@@ -0,0 +1,6 @@
+trackpy.predict.NearestVelocityPredict.observe
+==============================================
+
+.. currentmodule:: trackpy.predict
+
+.. automethod:: NearestVelocityPredict.observe
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.predict.NearestVelocityPredict.predict.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.predict.NearestVelocityPredict.predict.rst.txt
new file mode 100644
index 00000000..2df54dcb
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.predict.NearestVelocityPredict.predict.rst.txt
@@ -0,0 +1,6 @@
+trackpy.predict.NearestVelocityPredict.predict
+==============================================
+
+.. currentmodule:: trackpy.predict
+
+.. automethod:: NearestVelocityPredict.predict
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.predict.NearestVelocityPredict.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.predict.NearestVelocityPredict.rst.txt
new file mode 100644
index 00000000..ff1ccec3
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.predict.NearestVelocityPredict.rst.txt
@@ -0,0 +1,27 @@
+trackpy.predict.NearestVelocityPredict
+======================================
+
+.. currentmodule:: trackpy.predict
+
+.. autoclass:: NearestVelocityPredict
+
+   
+
+
+  .. HACK -- the point here is that we don't want this to appear in the output, but the autosummary should still generate the pages.
+      .. autosummary::
+         :toctree:
+      
+         NearestVelocityPredict.link_df
+         NearestVelocityPredict.link_df_iter
+         NearestVelocityPredict.observe
+         NearestVelocityPredict.predict
+         NearestVelocityPredict.state
+         NearestVelocityPredict.wrap
+         NearestVelocityPredict.wrap_single
+
+
+
+
+   
+
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.predict.NearestVelocityPredict.state.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.predict.NearestVelocityPredict.state.rst.txt
new file mode 100644
index 00000000..f691f791
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.predict.NearestVelocityPredict.state.rst.txt
@@ -0,0 +1,6 @@
+trackpy.predict.NearestVelocityPredict.state
+============================================
+
+.. currentmodule:: trackpy.predict
+
+.. automethod:: NearestVelocityPredict.state
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.predict.NearestVelocityPredict.wrap.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.predict.NearestVelocityPredict.wrap.rst.txt
new file mode 100644
index 00000000..ad799ade
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.predict.NearestVelocityPredict.wrap.rst.txt
@@ -0,0 +1,6 @@
+trackpy.predict.NearestVelocityPredict.wrap
+===========================================
+
+.. currentmodule:: trackpy.predict
+
+.. automethod:: NearestVelocityPredict.wrap
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.predict.NearestVelocityPredict.wrap_single.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.predict.NearestVelocityPredict.wrap_single.rst.txt
new file mode 100644
index 00000000..b4c8ed2b
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.predict.NearestVelocityPredict.wrap_single.rst.txt
@@ -0,0 +1,6 @@
+trackpy.predict.NearestVelocityPredict.wrap\_single
+===================================================
+
+.. currentmodule:: trackpy.predict
+
+.. automethod:: NearestVelocityPredict.wrap_single
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.predict.NullPredict.link_df.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.predict.NullPredict.link_df.rst.txt
new file mode 100644
index 00000000..874e97b2
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.predict.NullPredict.link_df.rst.txt
@@ -0,0 +1,6 @@
+trackpy.predict.NullPredict.link\_df
+====================================
+
+.. currentmodule:: trackpy.predict
+
+.. automethod:: NullPredict.link_df
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.predict.NullPredict.link_df_iter.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.predict.NullPredict.link_df_iter.rst.txt
new file mode 100644
index 00000000..d5ee1d73
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.predict.NullPredict.link_df_iter.rst.txt
@@ -0,0 +1,6 @@
+trackpy.predict.NullPredict.link\_df\_iter
+==========================================
+
+.. currentmodule:: trackpy.predict
+
+.. automethod:: NullPredict.link_df_iter
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.predict.NullPredict.observe.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.predict.NullPredict.observe.rst.txt
new file mode 100644
index 00000000..61aa6fc9
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.predict.NullPredict.observe.rst.txt
@@ -0,0 +1,6 @@
+trackpy.predict.NullPredict.observe
+===================================
+
+.. currentmodule:: trackpy.predict
+
+.. automethod:: NullPredict.observe
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.predict.NullPredict.predict.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.predict.NullPredict.predict.rst.txt
new file mode 100644
index 00000000..78bcf31a
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.predict.NullPredict.predict.rst.txt
@@ -0,0 +1,6 @@
+trackpy.predict.NullPredict.predict
+===================================
+
+.. currentmodule:: trackpy.predict
+
+.. automethod:: NullPredict.predict
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.predict.NullPredict.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.predict.NullPredict.rst.txt
new file mode 100644
index 00000000..f04628bd
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.predict.NullPredict.rst.txt
@@ -0,0 +1,27 @@
+trackpy.predict.NullPredict
+===========================
+
+.. currentmodule:: trackpy.predict
+
+.. autoclass:: NullPredict
+
+   
+
+
+  .. HACK -- the point here is that we don't want this to appear in the output, but the autosummary should still generate the pages.
+      .. autosummary::
+         :toctree:
+      
+         NullPredict.link_df
+         NullPredict.link_df_iter
+         NullPredict.observe
+         NullPredict.predict
+         NullPredict.state
+         NullPredict.wrap
+         NullPredict.wrap_single
+
+
+
+
+   
+
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.predict.NullPredict.state.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.predict.NullPredict.state.rst.txt
new file mode 100644
index 00000000..23bea160
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.predict.NullPredict.state.rst.txt
@@ -0,0 +1,6 @@
+trackpy.predict.NullPredict.state
+=================================
+
+.. currentmodule:: trackpy.predict
+
+.. automethod:: NullPredict.state
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.predict.NullPredict.wrap.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.predict.NullPredict.wrap.rst.txt
new file mode 100644
index 00000000..66edd023
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.predict.NullPredict.wrap.rst.txt
@@ -0,0 +1,6 @@
+trackpy.predict.NullPredict.wrap
+================================
+
+.. currentmodule:: trackpy.predict
+
+.. automethod:: NullPredict.wrap
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.predict.NullPredict.wrap_single.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.predict.NullPredict.wrap_single.rst.txt
new file mode 100644
index 00000000..ba989726
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.predict.NullPredict.wrap_single.rst.txt
@@ -0,0 +1,6 @@
+trackpy.predict.NullPredict.wrap\_single
+========================================
+
+.. currentmodule:: trackpy.predict
+
+.. automethod:: NullPredict.wrap_single
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.predict.instrumented.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.predict.instrumented.rst.txt
new file mode 100644
index 00000000..7db74166
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.predict.instrumented.rst.txt
@@ -0,0 +1,6 @@
+trackpy.predict.instrumented
+============================
+
+.. currentmodule:: trackpy.predict
+
+.. autofunction:: instrumented
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.predict.predictor.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.predict.predictor.rst.txt
new file mode 100644
index 00000000..ec35410b
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.predict.predictor.rst.txt
@@ -0,0 +1,6 @@
+trackpy.predict.predictor
+=========================
+
+.. currentmodule:: trackpy.predict
+
+.. autofunction:: predictor
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.predict.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.predict.rst.txt
new file mode 100644
index 00000000..28c71223
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.predict.rst.txt
@@ -0,0 +1,40 @@
+trackpy.predict
+===============
+
+.. automodule:: trackpy.predict
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Functions
+
+   .. autosummary::
+   
+      instrumented
+      null_predict
+      predictor
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+   
+      ChannelPredict
+      DriftPredict
+      NearestVelocityPredict
+      NullPredict
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.preprocessing.bandpass.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.preprocessing.bandpass.rst.txt
new file mode 100644
index 00000000..61b2082b
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.preprocessing.bandpass.rst.txt
@@ -0,0 +1,6 @@
+trackpy.preprocessing.bandpass
+==============================
+
+.. currentmodule:: trackpy.preprocessing
+
+.. autofunction:: bandpass
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.preprocessing.convert_to_int.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.preprocessing.convert_to_int.rst.txt
new file mode 100644
index 00000000..5954bf4c
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.preprocessing.convert_to_int.rst.txt
@@ -0,0 +1,6 @@
+trackpy.preprocessing.convert\_to\_int
+======================================
+
+.. currentmodule:: trackpy.preprocessing
+
+.. autofunction:: convert_to_int
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.preprocessing.invert_image.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.preprocessing.invert_image.rst.txt
new file mode 100644
index 00000000..0c483d27
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.preprocessing.invert_image.rst.txt
@@ -0,0 +1,6 @@
+trackpy.preprocessing.invert\_image
+===================================
+
+.. currentmodule:: trackpy.preprocessing
+
+.. autofunction:: invert_image
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.preprocessing.lowpass.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.preprocessing.lowpass.rst.txt
new file mode 100644
index 00000000..ab74ea34
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.preprocessing.lowpass.rst.txt
@@ -0,0 +1,6 @@
+trackpy.preprocessing.lowpass
+=============================
+
+.. currentmodule:: trackpy.preprocessing
+
+.. autofunction:: lowpass
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.preprocessing.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.preprocessing.rst.txt
new file mode 100644
index 00000000..fb7ea219
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.preprocessing.rst.txt
@@ -0,0 +1,37 @@
+trackpy.preprocessing
+=====================
+
+.. automodule:: trackpy.preprocessing
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Functions
+
+   .. autosummary::
+   
+      bandpass
+      boxcar
+      convert_to_int
+      invert_image
+      legacy_bandpass
+      legacy_bandpass_fftw
+      lowpass
+      scale_to_gamut
+      scalefactor_to_gamut
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.preprocessing.scale_to_gamut.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.preprocessing.scale_to_gamut.rst.txt
new file mode 100644
index 00000000..75f022f1
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.preprocessing.scale_to_gamut.rst.txt
@@ -0,0 +1,6 @@
+trackpy.preprocessing.scale\_to\_gamut
+======================================
+
+.. currentmodule:: trackpy.preprocessing
+
+.. autofunction:: scale_to_gamut
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.quiet.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.quiet.rst.txt
new file mode 100644
index 00000000..b6d8f2f8
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.quiet.rst.txt
@@ -0,0 +1,6 @@
+trackpy.quiet
+=============
+
+.. currentmodule:: trackpy
+
+.. autofunction:: quiet
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.reconnect_traj_patch.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.reconnect_traj_patch.rst.txt
new file mode 100644
index 00000000..059ecb7a
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.reconnect_traj_patch.rst.txt
@@ -0,0 +1,6 @@
+trackpy.reconnect\_traj\_patch
+==============================
+
+.. currentmodule:: trackpy
+
+.. autofunction:: reconnect_traj_patch
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.refine.brightfield_ring.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.refine.brightfield_ring.rst.txt
new file mode 100644
index 00000000..ab346f28
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.refine.brightfield_ring.rst.txt
@@ -0,0 +1,29 @@
+trackpy.refine.brightfield\_ring
+================================
+
+.. automodule:: trackpy.refine.brightfield_ring
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Functions
+
+   .. autosummary::
+   
+      refine_brightfield_ring
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.refine.center_of_mass.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.refine.center_of_mass.rst.txt
new file mode 100644
index 00000000..ea2c96de
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.refine.center_of_mass.rst.txt
@@ -0,0 +1,30 @@
+trackpy.refine.center\_of\_mass
+===============================
+
+.. automodule:: trackpy.refine.center_of_mass
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Functions
+
+   .. autosummary::
+   
+      refine_com
+      refine_com_arr
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.refine.least_squares.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.refine.least_squares.rst.txt
new file mode 100644
index 00000000..9676c28a
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.refine.least_squares.rst.txt
@@ -0,0 +1,69 @@
+trackpy.refine.least\_squares
+=============================
+
+.. automodule:: trackpy.refine.least_squares
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Functions
+
+   .. autosummary::
+   
+      dimer
+      dimer_global
+      disc_fun
+      dr2_anisotropic_2d
+      dr2_anisotropic_3d
+      dr2_isotropic_2d
+      dr2_isotropic_3d
+      gauss_dfun
+      gauss_fun
+      ignore_clip_warnings
+      inv_series_fun
+      prepare_subimage
+      prepare_subimages
+      r2_anisotropic_2d
+      r2_anisotropic_2d_safe
+      r2_anisotropic_3d
+      r2_anisotropic_3d_safe
+      r2_isotropic_2d
+      r2_isotropic_2d_safe
+      r2_isotropic_3d
+      r2_isotropic_3d_safe
+      refine_leastsq
+      ring_dfun
+      ring_fun
+      tetramer
+      train_leastsq
+      trimer
+      vect_from_params
+      vect_to_params
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+   
+      FitFunctions
+   
+   
+
+   
+   
+   .. rubric:: Exceptions
+
+   .. autosummary::
+   
+      RefineException
+   
+   
+
+
+
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.refine.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.refine.rst.txt
new file mode 100644
index 00000000..a57d8853
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.refine.rst.txt
@@ -0,0 +1,33 @@
+trackpy.refine
+==============
+
+.. automodule:: trackpy.refine
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+
+
+.. rubric:: Modules
+
+.. autosummary::
+   :toctree:
+   :recursive:
+
+   trackpy.refine.brightfield_ring
+   trackpy.refine.center_of_mass
+   trackpy.refine.least_squares
+
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.refine_com.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.refine_com.rst.txt
new file mode 100644
index 00000000..7b7e0f47
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.refine_com.rst.txt
@@ -0,0 +1,6 @@
+trackpy.refine\_com
+===================
+
+.. currentmodule:: trackpy
+
+.. autofunction:: refine_com
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.refine_leastsq.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.refine_leastsq.rst.txt
new file mode 100644
index 00000000..2ec83412
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.refine_leastsq.rst.txt
@@ -0,0 +1,6 @@
+trackpy.refine\_leastsq
+=======================
+
+.. currentmodule:: trackpy
+
+.. autofunction:: refine_leastsq
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.rst.txt
new file mode 100644
index 00000000..688730d5
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.rst.txt
@@ -0,0 +1,52 @@
+trackpy
+=======
+
+.. automodule:: trackpy
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+
+
+.. rubric:: Modules
+
+.. autosummary::
+   :toctree:
+   :recursive:
+
+   trackpy.api
+   trackpy.artificial
+   trackpy.diag
+   trackpy.feature
+   trackpy.feature_numba
+   trackpy.filtering
+   trackpy.find
+   trackpy.find_link
+   trackpy.framewise_data
+   trackpy.linking
+   trackpy.locate_functions
+   trackpy.masks
+   trackpy.motion
+   trackpy.plots
+   trackpy.predict
+   trackpy.preprocessing
+   trackpy.refine
+   trackpy.static
+   trackpy.tracking
+   trackpy.try_numba
+   trackpy.uncertainty
+   trackpy.utils
+
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.scatter.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.scatter.rst.txt
new file mode 100644
index 00000000..fdce4f05
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.scatter.rst.txt
@@ -0,0 +1,6 @@
+trackpy.scatter
+===============
+
+.. currentmodule:: trackpy
+
+.. autofunction:: scatter
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.scatter3d.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.scatter3d.rst.txt
new file mode 100644
index 00000000..f0b825ac
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.scatter3d.rst.txt
@@ -0,0 +1,6 @@
+trackpy.scatter3d
+=================
+
+.. currentmodule:: trackpy
+
+.. autofunction:: scatter3d
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.static.cluster.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.static.cluster.rst.txt
new file mode 100644
index 00000000..8aca619b
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.static.cluster.rst.txt
@@ -0,0 +1,6 @@
+trackpy.static.cluster
+======================
+
+.. currentmodule:: trackpy.static
+
+.. autofunction:: cluster
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.static.pair_correlation_2d.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.static.pair_correlation_2d.rst.txt
new file mode 100644
index 00000000..855b4539
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.static.pair_correlation_2d.rst.txt
@@ -0,0 +1,6 @@
+trackpy.static.pair\_correlation\_2d
+====================================
+
+.. currentmodule:: trackpy.static
+
+.. autofunction:: pair_correlation_2d
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.static.pair_correlation_3d.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.static.pair_correlation_3d.rst.txt
new file mode 100644
index 00000000..3973170e
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.static.pair_correlation_3d.rst.txt
@@ -0,0 +1,6 @@
+trackpy.static.pair\_correlation\_3d
+====================================
+
+.. currentmodule:: trackpy.static
+
+.. autofunction:: pair_correlation_3d
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.static.proximity.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.static.proximity.rst.txt
new file mode 100644
index 00000000..274208fb
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.static.proximity.rst.txt
@@ -0,0 +1,6 @@
+trackpy.static.proximity
+========================
+
+.. currentmodule:: trackpy.static
+
+.. autofunction:: proximity
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.static.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.static.rst.txt
new file mode 100644
index 00000000..02e35620
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.static.rst.txt
@@ -0,0 +1,46 @@
+trackpy.static
+==============
+
+.. automodule:: trackpy.static
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Functions
+
+   .. autosummary::
+   
+      arclen_2d_bounded
+      area_3d_bounded
+      circle_cap_arclen
+      circle_corner_arclen
+      cluster
+      cluster_iter
+      pair_correlation_2d
+      pair_correlation_3d
+      proximity
+      sphere_cap_area
+      sphere_corner_area
+      sphere_edge_area
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+   
+      Clusters
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.subpx_bias.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.subpx_bias.rst.txt
new file mode 100644
index 00000000..73667147
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.subpx_bias.rst.txt
@@ -0,0 +1,6 @@
+trackpy.subpx\_bias
+===================
+
+.. currentmodule:: trackpy
+
+.. autofunction:: subpx_bias
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.tracking.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.tracking.rst.txt
new file mode 100644
index 00000000..e212f493
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.tracking.rst.txt
@@ -0,0 +1,23 @@
+trackpy.tracking
+================
+
+.. automodule:: trackpy.tracking
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.try_numba.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.try_numba.rst.txt
new file mode 100644
index 00000000..84bef34c
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.try_numba.rst.txt
@@ -0,0 +1,37 @@
+trackpy.try\_numba
+==================
+
+.. automodule:: trackpy.try_numba
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Functions
+
+   .. autosummary::
+   
+      disable_numba
+      enable_numba
+      try_numba_jit
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+   
+      RegisteredFunction
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.uncertainty.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.uncertainty.rst.txt
new file mode 100644
index 00000000..54a1a1b0
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.uncertainty.rst.txt
@@ -0,0 +1,30 @@
+trackpy.uncertainty
+===================
+
+.. automodule:: trackpy.uncertainty
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Functions
+
+   .. autosummary::
+   
+      measure_noise
+      static_error
+   
+   
+
+   
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.utils.fit_powerlaw.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.utils.fit_powerlaw.rst.txt
new file mode 100644
index 00000000..9caf64b1
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.utils.fit_powerlaw.rst.txt
@@ -0,0 +1,6 @@
+trackpy.utils.fit\_powerlaw
+===========================
+
+.. currentmodule:: trackpy.utils
+
+.. autofunction:: fit_powerlaw
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_sources/generated/trackpy.utils.rst.txt b/trackpy/v0.6.2/_sources/generated/trackpy.utils.rst.txt
new file mode 100644
index 00000000..92f25d59
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/generated/trackpy.utils.rst.txt
@@ -0,0 +1,60 @@
+trackpy.utils
+=============
+
+.. automodule:: trackpy.utils
+
+   
+   
+   
+
+   
+   
+   .. rubric:: Functions
+
+   .. autosummary::
+   
+      catch_keyboard_interrupt
+      default_pos_columns
+      default_size_columns
+      extract
+      fit_powerlaw
+      get_pool
+      guess_pos_columns
+      handle_logging
+      ignore_logging
+      is_isotropic
+      lazy_timestamp
+      make_pandas_strict
+      pandas_concat
+      pandas_sort
+      quiet
+      random_walk
+      record_meta
+      safe_exp
+      stats_mode_scalar
+      suppress_plotting
+      time_interval
+      timedelta_to_frame
+      timestamp
+      validate_tuple
+   
+   
+
+   
+   
+   .. rubric:: Classes
+
+   .. autosummary::
+   
+      IPythonStreamHandler
+      ReaderCached
+      memo
+   
+   
+
+   
+   
+   
+
+
+
diff --git a/trackpy/v0.6.2/_sources/index.rst.txt b/trackpy/v0.6.2/_sources/index.rst.txt
new file mode 100644
index 00000000..41efee88
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/index.rst.txt
@@ -0,0 +1,111 @@
+.. raw:: html
+
+    <style type="text/css">
+    .thumbnail {{
+        position: relative;
+        float: left;
+        margin: 10px;
+        width: 180px;
+        height: 200px;
+    }}
+
+    .thumbnail img {{
+        position: absolute;
+        display: inline;
+        left: 0;
+        width: 170px;
+        height: 170px;
+    }}
+
+    </style>
+
+
+Trackpy: Fast, Flexible Particle-Tracking Toolkit
+=================================================
+
+.. raw:: html
+
+    <div style="clear: both"></div>
+    <div class="container-fluid hidden-xs hidden-sm">
+      <div class="row">
+        <div class="col-md-2 thumbnail">
+          <img src="_static/interfacial-particles.png">
+        </div>
+        <div class="col-md-2 thumbnail">
+          <img src="_static/foam.png">
+        </div>
+        <div class="col-md-2 thumbnail">
+          <img src="_static/tracking-sphere.png">
+        </div>
+        <div class="col-md-2 thumbnail">
+          <img src="_static/trajectories-in-water.png">
+        </div>
+        <div class="col-md-2 thumbnail">
+          <img src="_static/rearrangements-and-strain.png">
+        </div>
+        <div class="col-md-2 thumbnail">
+          <img src="_static/large-particle-in-liquid-crystal.png">
+        </div>
+      </div>
+    </div>
+    <br>
+
+
+Trackpy is a Python package for particle tracking in 2D, 3D, and higher dimensions.
+
+For a brief introduction to the ideas behind the package, you can read the :ref:`introductory notes <introduction>`. Read the :doc:`walkthrough <tutorial/walkthrough>` to study an example project from start to finish.
+
+Much more detail can be found in the trackpy :ref:`tutorial <tutorial>`. You can also browse the :ref:`API reference <api_ref>` to see available tools for tracking, motion analysis, plotting, and more.
+
+See the
+:doc:`installation instructions <installation>` to obtain the current stable
+release or the version in development.
+
+To check out the code, report a bug, or contribute a new feature, please visit
+the `github repository <https://github.com/soft-matter/trackpy>`_.
+
+Different versions of the documentations are available: consult the documentation
+of the current `stable <https://soft-matter.github.io/trackpy/stable/>`_
+release or the `developer <https://soft-matter.github.io/trackpy/dev/>`_ version.
+
+.. raw:: html
+
+   <div class="container-fluid">
+   <div class="row">
+   <div class="col-md-6">
+   <h2>Documentation</h2>
+
+.. toctree::
+   :maxdepth: 1
+
+   introduction
+   installation
+   api
+   whatsnew
+
+.. raw:: html
+
+   </div>
+   <div class="col-md-6">
+   <h2>Tutorial</h2>
+
+.. toctree::
+   :maxdepth: 1
+
+   Walkthrough <tutorial/walkthrough>
+   Prediction (Linking) <tutorial/prediction>
+   Tracking in 3D <tutorial/tracking-3d>
+   Uncertainty Estimation <tutorial/uncertainty>
+   Advanced Linking <tutorial/subnets>
+   Adaptive Linking <tutorial/adaptive-search>
+   Streaming <tutorial/on-disk>
+   Performance <tutorial/performance>
+   Parallelized Feature Finding <tutorial/parallel-locate>
+   Tracking Large Features Such As Bubbles <tutorial/custom-feature-detection>
+   Tracking Particles' Rings in Bright-Field Microscopy <tutorial/brightfield>
+
+.. raw:: html
+
+   </div>
+   </div>
+   </div>
diff --git a/trackpy/v0.6.2/_sources/installation.rst.txt b/trackpy/v0.6.2/_sources/installation.rst.txt
new file mode 100644
index 00000000..c8390cdb
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/installation.rst.txt
@@ -0,0 +1,201 @@
+.. _installation:
+
+Installing Trackpy
+------------------
+
+For Python Novices
+^^^^^^^^^^^^^^^^^^
+
+Installation is simple on Windows, OSX, and Linux, even for Python novices.
+
+1. Get Scientific Python
+""""""""""""""""""""""""
+
+To get started with Python on any platform, download and install
+`Anaconda <https://www.anaconda.com/distribution/>`_. It comes with the
+common scientific Python packages built in.
+
+2. Install trackpy
+""""""""""""""""""
+
+Open a command prompt. On Windows, you can use the "Anaconda Command Prompt"
+installed by Anaconda or Start > Applications > Command Prompt. On a Mac, look
+for Applications > Utilities > Terminal. Type these commands:
+
+.. code-block:: bash
+
+   conda update conda
+   conda install -c conda-forge trackpy
+   conda install -c conda-forge pims
+
+The above installs trackpy and all its requirements, plus the recommended
+`PIMS <http://soft-matter.github.io/pims/>`_ package that simplifies image-reading,
+and that is used in the trackpy tutorials.
+
+3. Try it out!
+""""""""""""""
+
+Finally, to try it out, type
+
+.. code-block:: bash
+
+    jupyter notebook
+
+.. note::  For older Python versions, use ``ipython notebook``
+
+This will automatically open a browser tab, ready to interpret Python code.
+To get started, check out the links to tutorials at the top of this document.
+
+Updating Your Installation
+""""""""""""""""""""""""""
+
+Before updating to a new version of trackpy, be sure to read the
+:doc:`release notes<whatsnew>` for a list of new features and any changes
+that may affect your existing analysis code.
+
+Latest Stable Release
+^^^^^^^^^^^^^^^^^^^^^
+
+The code is under active development. To update to the latest stable release,
+run this in the command prompt:
+
+.. code-block:: bash
+
+    conda update -c conda-forge trackpy
+
+Latest Version Under Development
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+The ``master`` branch on GitHub contains the latest tested development code.
+Sometimes this branch will be compatible with the very latest versions of 
+other packages (especially pandas or scipy) weeks or months before a new 
+stable version is released. Code in this branch has already been thoroughly 
+tested. 
+
+You can easily install a recent build by downloading the source from
+`GitHub <https://github.com/soft-matter/trackpy>`_:
+
+.. code-block:: bash
+
+    pip install https://github.com/soft-matter/trackpy/archive/master.zip
+
+If you plan to edit the code yourself, you should use git and pip as
+explained below.
+
+Using environments
+""""""""""""""""""
+
+Some users often like to separate Python instances into environments, so that
+each project can have its own set of packages. Create a trackpy-dedicated
+environment with the name softmatter as follows:
+
+.. code-block:: bash
+
+    conda create --name softmatter trackpy nb_conda
+
+The `nb_conda` is optional, but we added it to ensure that Jupyter sees this
+environment as well. You can switch to the environment from within Jupyter in
+the Kernels menu. To access the environment on the commandline, type the
+following:
+
+.. code-block:: bash
+
+    source activate softmatter
+
+On Windows systems, leave out the `source`. You can go back to the root conda
+environment by activating `root`.
+
+
+More Information for Experienced Python Users
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+Archlinux
+"""""""""
+
+Package is available for Archlinux on AUR: `Python 3 <https://aur.archlinux.org/packages/python-trackpy/>`__
+
+pip
+"""
+
+We strongly recommend using conda to install trackpy, as described above,
+but pip is also supported. In general, you can use the latest version of each dependency.
+If you wish to override trackpy's minimum version requirements, you may find that 
+trackpy still runs your analysis code with older versions of dependencies.
+
+Essential Dependencies:
+
+* Python 3
+* `setuptools <http://pythonhosted.org/setuptools/>`__
+* `numpy <http://www.scipy.org/>`__
+* `scipy <http://www.scipy.org/>`__
+* `matplotlib <http://matplotlib.org/>`__
+* `pandas <http://pandas.pydata.org/pandas-docs/stable/overview.html>`__
+* `pyyaml <http://pyyaml.org/>`__
+* `looseversion <https://pypi.org/project/looseversion/>`__
+
+You will also want to install the `pims <http://soft-matter.github.io/pims/>`_
+package that simplifies image-reading, and that is used in the trackpy tutorials.
+The remaining optional dependencies, listed below, are strongly recommended but
+can be challenging to install yourself, hence our recommendation that you
+use `Anaconda <https://www.anaconda.com/distribution/>`_.
+
+Manual installation
+"""""""""""""""""""
+
+If you want to be able to edit the code yourself, you can install the package
+manually. First, make sure you have `git <https://git-scm.com/>`__ version
+management software installed. Go to a folder where you want to have your
+source code, then:
+
+.. code-block:: bash
+
+   git clone https://github.com/soft-matter/trackpy
+   cd trackpy
+   python setup.py develop
+
+We welcome any contribution to the trackpy source code, so feel free to send
+in your contributions on Github! To do so, make an account, fork
+`trackpy <https://github.com/soft-matter/trackpy>`__ and create a local copy
+using:
+
+.. code-block:: bash
+
+   git clone https://github.com/<your_account>/trackpy
+
+Now you have a local copy of the code which you can edit, but don't start
+editing right away as you are currently on the ``master`` branch. We think it
+is good practice to keep your ``master`` branch mirroring the upstream
+trackpy version, so first create a new branch and push it to the remote as
+follows:
+
+.. code-block:: bash
+
+   git branch fix-something
+   git push --set-upstream origin fix-something
+
+Now you can edit your code in any way you like, commit your changes, and push
+them again to the remote.
+
+Before sending in your code, please consult
+`our guidelines <https://github.com/soft-matter/trackpy/wiki/Information-for-contributors>`__.
+Also, see `here <https://git-scm.com/book/en/v1/Getting-Started>`__ for getting
+started using git.
+
+Optional Dependencies
+"""""""""""""""""""""
+
+These are strongly recommended to make using trackpy more convenient and faster:
+
+* The `PIMS <http://soft-matter.github.io/pims/>`_ package simplifies image-reading,
+      and is used in the trackpy tutorials.
+* `PyTables <http://www.pytables.org/moin>`__ for saving results in an HDF5 file. 
+      This is included with Anaconda.
+* `numba <http://numba.pydata.org/>`__ for accelerated feature-finding and linking. 
+      This is included with Anaconda and Canopy. Installing it any other way is
+      difficult; we recommend sticking with one of these.
+* `Pillow <https://pillow.readthedocs.org/>`__ or `PIL <http://www.pythonware.com/products/pil/>`__ for some display routines.
+      This is included with Anaconda.
+
+PIMS has its own optional dependencies for reading various formats. You
+can read what you need for each format
+`here on PIMS' README <http://soft-matter.github.io/pims/stable>`__.
diff --git a/trackpy/v0.6.2/_sources/introduction.rst.txt b/trackpy/v0.6.2/_sources/introduction.rst.txt
new file mode 100644
index 00000000..b9a09dc4
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/introduction.rst.txt
@@ -0,0 +1,151 @@
+.. _introduction:
+
+Introduction to Trackpy
+-----------------------
+
+Trackpy is a package for tracking blob-like features in video images, following them
+through time, and analyzing their trajectories. It started from a Python implementation
+of the widely-used Crocker--Grier algorithm and is currently in transition
+towards a general-purpose Python tracking library.
+
+There are many similar projects. (See table below.)
+Our implementation is distinguished by succinct and flexible usage,
+a thorough testing framework ensuring code stability and accuracy,
+scalability, and thorough documentation.
+
+Several researchers have merged their independent efforts into this code.
+We would like to see others in the community adopt it and potentially
+contribute code to it.
+
+Features
+^^^^^^^^
+
+Basics
+""""""
+Following the `widely-used particle tracking algorithm <http://www.physics.emory.edu/~weeks/idl/tracking.html>`__,
+we separate *tracking* into three separate steps. In the first step, *feature finding*
+initial feature coordinates are obtained from the images. Subsequently, sub-pixel precision
+is obtained in coordinate *refinement*. Finally, the coordinates are *linked* in time yielding
+the feature trajectories.
+
+  * The tracking algorithm originally implemented by John Crocker and Eric Weeks in IDL was
+    completely reimplemented in Python.
+  * A `flexible framework for least-squares fitting <https://arxiv.org/abs/1607.08819>`__
+    allows for sub-pixel refinement using any radial model function in 2D and 3D.
+  * Trackpy is actively used and tested on **Windows, Mac OSX, and Linux**,
+    and it uses only **free, open-source** software.
+  * Frames of video are loaded via the sister project `PIMS <http://github.com/soft-matter/pims>`__
+    which enables reading of several types of **video files (AVI, MOV, etc.),
+    specialized formats (LEI, ND2, SEQ, CINE), multi-frame TIFF, or a directory of sequential
+    images (TIFF, PNG, JPG, etc.)**.
+  * Results are given as DataFrames, high-performance spreadsheet-like objects
+    from `Python pandas <http://pandas.pydata.org/pandas-docs/stable/overview.html>`__
+    which can easily be saved to a **CSV file, Excel spreadsheet,
+    SQL database, HDF5 file**, and more.
+  * Particle trajectories can be
+    characterized, grouped, and plotted using a suite of convenient functions.
+  * To verify correctness and stability, a **suite of 500+ tests verifies basic results
+    on each trackpy update**.
+
+Special Capabilities
+""""""""""""""""""""
+
+  * Both feature-finding and trajectory-linking can be performed on
+    **arbitrarily long videos** using a fixed, modest amount of memory. (Results
+    can be read and saved to disk throughout.)
+  * A **prediction framework** helps track particles in fluid flows,
+    or other scenarios where velocity is correlated between time steps.
+  * Feature-finding optionally makes use of the **history of feature coordinates**
+    in a routine that combines linking and feature-finding.
+  * Feature-finding and trajectory-linking works on **images with any number of dimensions**,
+    making possible some creative applications.
+  * **Uncertainty is estimated** following a method `described in this paper <http://dx.doi.org/10.1529/biophysj.104.042457>`__ by Savin and Doyle.
+  * **High-performance** numba acceleration is used only if
+    if available. Since these can be tricky to install on some machines,
+    the code will automatically fall back on slower pure Python implementations
+  * **Adaptive search** can prevent the tracking algorithm from failing
+    or becoming too slow, by automatically making adjustments when needed.
+
+Citing Trackpy
+^^^^^^^^^^^^^^
+
+Trackpy can be cited using a DOI provided through our Zenodo
+`record page <https://zenodo.org/badge/latestdoi/4744355>`_. To direct your
+readers to the specific version of trackpy that they can use to reproduce
+your results, cite the release of trackpy that you used for your work
+(available from the variable ``trackpy.__version__``). The
+record pages linked below contain author lists, other details, and complete
+citations in various formats. If your citation style allows for a URL,
+please include a link to the github repository:
+`github.com/soft-matter/trackpy`.
+
+================= ========================================================================= ======================
+Release (version) Zenodo Record Pages with info and citations                               DOI
+================= ========================================================================= ======================
+v0.4 and later    `Versioned Record Page <https://zenodo.org/badge/latestdoi/4744355>`__    (see Zenodo)
+v0.3.2            `Record Page <https://zenodo.org/record/60550>`__                         10.5281/zenodo.60550
+v0.3.1            `Record Page <https://zenodo.org/record/55143>`__                         10.5281/zenodo.55143
+v0.3.0            `Record Page <https://zenodo.org/record/34028>`__                         10.5281/zenodo.34028
+v0.2.4            `Record Page <https://zenodo.org/record/12255>`__                         10.5281/zenodo.12255
+v0.2.3            `Record Page <https://zenodo.org/record/11956>`__                         10.5281/zenodo.11956
+v0.2.2            `Record Page <https://zenodo.org/record/11132>`__                         10.5281/zenodo.11132
+v0.2              `Record Page <https://zenodo.org/record/9971>`__                          10.5281/zenodo.9971
+================= ========================================================================= ======================
+
+Users often also cite this publication describing the core feature-finding
+and linking algorithms that trackpy is based on:
+
+Crocker, J. C., & Grier, D. G. (1996). Methods of Digital Video Microscopy for Colloidal Studies.
+J. Colloid Interf. Sci., 179(1), 298–310. http://doi.org/10.1006/jcis.1996.0217
+
+Related Projects
+^^^^^^^^^^^^^^^^
+
+============================ =================================================== =========================
+Author(s)                    Project URL                                         Language
+============================ =================================================== =========================
+Crocker and Grier            http://physics.nyu.edu/grierlab/software.html       IDL
+Crocker and Weeks            http://www.physics.emory.edu/~weeks/idl/            IDL
+Blair and Dufresne           http://physics.georgetown.edu/matlab/               MATLAB
+Maria Kilfoil et al.         https://github.com/rmcgorty/ParticleTracking-Python Python
+Graham Milne                 http://zone.ni.com/devzone/cda/epd/p/id/948         LabVIEW
+Ryan Smith and Gabe Spalding http://titan.iwu.edu/~gspaldin/rytrack.html         stand alone/IDL GUI
+Peter J Lu                   https://github.com/peterlu/PLuTARC_centerfind2D     C++ (identification only)
+Thomas A Caswell             https://github.com/tacaswell/tracking               C++
+============================ =================================================== =========================
+
+Core Contributors
+^^^^^^^^^^^^^^^^^
+
+  * **Casper van der Wel** anisotropic 3D feature-finding, plotting and analyses, framework
+    for least-squares refinement, combined linking and feature finding
+  * **Daniel Allan** feature-finding, uncertainty estimation,
+    motion characterization and discrimination, plotting tools, tests
+  * **Nathan Keim** alternative trajectory-linking implementations, major
+    speed-ups, prediction, adaptive search
+  * **Thomas Caswell** multiple implementations of sophisticated trajectory-linking, tests
+
+
+Support
+^^^^^^^
+
+This package was developed in part by Daniel Allan, as part of his
+PhD thesis work on microrheology in Robert L. Leheny's group at Johns Hopkins
+University in Baltimore, MD, USA. The work was supported by the National Science Foundation
+under grant number CBET-1033985.  Dan can be reached at dallan@pha.jhu.edu.
+
+This package was developed in part by Thomas A Caswell as part of his
+PhD thesis work in Sidney R Nagel's and Margaret L Gardel's groups at
+the University of Chicago, Chicago IL, USA.  This work was supported in
+part by NSF Grant DMR-1105145 and NSF-MRSEC DMR-0820054.  Tom can be
+reached at tcaswell@gmail.com.
+
+This package was developed in part by Nathan C. Keim at Cal Poly,
+San Luis Obispo, California, USA and supported by NSF Grant DMR-1708870.
+Portions were also developed at the University of Pennsylvania,
+Philadelphia, USA, supported by NSF-MRSEC DMR-1120901.
+
+This package was developed in part by Casper van der Wel, as part of his
+PhD thesis work in Daniela Kraft’s group at the Huygens-Kamerlingh-Onnes laboratory,
+Institute of Physics, Leiden University, The Netherlands. This work was
+supported by the Netherlands Organisation for Scientific Research (NWO/OCW). 
diff --git a/trackpy/v0.6.2/_sources/tutorial.rst.txt b/trackpy/v0.6.2/_sources/tutorial.rst.txt
new file mode 100644
index 00000000..bf521b7b
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/tutorial.rst.txt
@@ -0,0 +1,35 @@
+.. _tutorial:
+
+Trackpy tutorial
+================
+
+Basic Usage
+-----------
+
+.. toctree::
+   :maxdepth: 2
+
+   Walkthrough <tutorial/walkthrough>
+   Prediction (Linking) <tutorial/prediction>
+   Tracking in 3D <tutorial/tracking-3d>
+   Uncertainty Estimation <tutorial/uncertainty>
+   Advanced Linking <tutorial/subnets>
+   Adaptive Linking <tutorial/adaptive-search>
+
+Processing Large Data Sets
+--------------------------
+
+.. toctree::
+   :maxdepth: 2
+
+   Streaming <tutorial/on-disk>
+   Performance <tutorial/performance>
+   Parallelized Feature Finding <tutorial/parallel-locate>
+
+Extending & Customizing Trackpy
+-------------------------------
+.. toctree::
+   :maxdepth: 2
+
+   Tracking Particles' Rings in Bright-Field Microscopy <tutorial/brightfield>
+   Tracking Large Features Such as Bubbles, and Visualizing a Velocity Field <tutorial/custom-feature-detection>
diff --git a/trackpy/v0.6.2/_sources/tutorial/adaptive-search.rst.txt b/trackpy/v0.6.2/_sources/tutorial/adaptive-search.rst.txt
new file mode 100644
index 00000000..6f792ac6
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/tutorial/adaptive-search.rst.txt
@@ -0,0 +1,4 @@
+adaptive-search
+------------------------------------------------
+.. raw:: html
+    :file: adaptive-search.html
diff --git a/trackpy/v0.6.2/_sources/tutorial/brightfield.rst.txt b/trackpy/v0.6.2/_sources/tutorial/brightfield.rst.txt
new file mode 100644
index 00000000..032472fd
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/tutorial/brightfield.rst.txt
@@ -0,0 +1,4 @@
+brightfield
+------------------------------------------------
+.. raw:: html
+    :file: brightfield.html
diff --git a/trackpy/v0.6.2/_sources/tutorial/custom-feature-detection.rst.txt b/trackpy/v0.6.2/_sources/tutorial/custom-feature-detection.rst.txt
new file mode 100644
index 00000000..eb78d7af
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/tutorial/custom-feature-detection.rst.txt
@@ -0,0 +1,4 @@
+custom-feature-detection
+------------------------------------------------
+.. raw:: html
+    :file: custom-feature-detection.html
diff --git a/trackpy/v0.6.2/_sources/tutorial/on-disk.rst.txt b/trackpy/v0.6.2/_sources/tutorial/on-disk.rst.txt
new file mode 100644
index 00000000..389d0291
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/tutorial/on-disk.rst.txt
@@ -0,0 +1,4 @@
+on-disk
+------------------------------------------------
+.. raw:: html
+    :file: on-disk.html
diff --git a/trackpy/v0.6.2/_sources/tutorial/parallel-locate.rst.txt b/trackpy/v0.6.2/_sources/tutorial/parallel-locate.rst.txt
new file mode 100644
index 00000000..7c791654
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/tutorial/parallel-locate.rst.txt
@@ -0,0 +1,4 @@
+parallel-locate
+------------------------------------------------
+.. raw:: html
+    :file: parallel-locate.html
diff --git a/trackpy/v0.6.2/_sources/tutorial/performance.rst.txt b/trackpy/v0.6.2/_sources/tutorial/performance.rst.txt
new file mode 100644
index 00000000..94ba39fa
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/tutorial/performance.rst.txt
@@ -0,0 +1,4 @@
+performance
+------------------------------------------------
+.. raw:: html
+    :file: performance.html
diff --git a/trackpy/v0.6.2/_sources/tutorial/prediction.rst.txt b/trackpy/v0.6.2/_sources/tutorial/prediction.rst.txt
new file mode 100644
index 00000000..97b7c7e0
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/tutorial/prediction.rst.txt
@@ -0,0 +1,4 @@
+prediction
+------------------------------------------------
+.. raw:: html
+    :file: prediction.html
diff --git a/trackpy/v0.6.2/_sources/tutorial/subnets.rst.txt b/trackpy/v0.6.2/_sources/tutorial/subnets.rst.txt
new file mode 100644
index 00000000..ffabd810
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/tutorial/subnets.rst.txt
@@ -0,0 +1,4 @@
+subnets
+------------------------------------------------
+.. raw:: html
+    :file: subnets.html
diff --git a/trackpy/v0.6.2/_sources/tutorial/tracking-3d.rst.txt b/trackpy/v0.6.2/_sources/tutorial/tracking-3d.rst.txt
new file mode 100644
index 00000000..362f8164
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/tutorial/tracking-3d.rst.txt
@@ -0,0 +1,4 @@
+tracking-3d
+------------------------------------------------
+.. raw:: html
+    :file: tracking-3d.html
diff --git a/trackpy/v0.6.2/_sources/tutorial/uncertainty.rst.txt b/trackpy/v0.6.2/_sources/tutorial/uncertainty.rst.txt
new file mode 100644
index 00000000..14bee04a
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/tutorial/uncertainty.rst.txt
@@ -0,0 +1,4 @@
+uncertainty
+------------------------------------------------
+.. raw:: html
+    :file: uncertainty.html
diff --git a/trackpy/v0.6.2/_sources/tutorial/walkthrough.rst.txt b/trackpy/v0.6.2/_sources/tutorial/walkthrough.rst.txt
new file mode 100644
index 00000000..fd904190
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/tutorial/walkthrough.rst.txt
@@ -0,0 +1,4 @@
+walkthrough
+------------------------------------------------
+.. raw:: html
+    :file: walkthrough.html
diff --git a/trackpy/v0.6.2/_sources/whatsnew.rst.txt b/trackpy/v0.6.2/_sources/whatsnew.rst.txt
new file mode 100644
index 00000000..2e835342
--- /dev/null
+++ b/trackpy/v0.6.2/_sources/whatsnew.rst.txt
@@ -0,0 +1,14 @@
+.. _whatsnew:
+
+.. currentmodule:: trackpy 
+
+What's new in the package
+=========================
+
+A catalog of new features, improvements, and bug-fixes in each release. Follow links to the relevant GitHub issue or pull request for specific code changes and any related discussion.
+
+.. include:: releases/v0.6.txt
+
+.. include:: releases/v0.5.txt
+
+.. include:: releases/v0.4.txt
diff --git a/trackpy/v0.6.2/_static/_sphinx_javascript_frameworks_compat.js b/trackpy/v0.6.2/_static/_sphinx_javascript_frameworks_compat.js
new file mode 100644
index 00000000..8549469d
--- /dev/null
+++ b/trackpy/v0.6.2/_static/_sphinx_javascript_frameworks_compat.js
@@ -0,0 +1,134 @@
+/*
+ * _sphinx_javascript_frameworks_compat.js
+ * ~~~~~~~~~~
+ *
+ * Compatability shim for jQuery and underscores.js.
+ *
+ * WILL BE REMOVED IN Sphinx 6.0
+ * xref RemovedInSphinx60Warning
+ *
+ */
+
+/**
+ * select a different prefix for underscore
+ */
+$u = _.noConflict();
+
+
+/**
+ * small helper function to urldecode strings
+ *
+ * See https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/decodeURIComponent#Decoding_query_parameters_from_a_URL
+ */
+jQuery.urldecode = function(x) {
+    if (!x) {
+        return x
+    }
+    return decodeURIComponent(x.replace(/\+/g, ' '));
+};
+
+/**
+ * small helper function to urlencode strings
+ */
+jQuery.urlencode = encodeURIComponent;
+
+/**
+ * This function returns the parsed url parameters of the
+ * current request. Multiple values per key are supported,
+ * it will always return arrays of strings for the value parts.
+ */
+jQuery.getQueryParameters = function(s) {
+    if (typeof s === 'undefined')
+        s = document.location.search;
+    var parts = s.substr(s.indexOf('?') + 1).split('&');
+    var result = {};
+    for (var i = 0; i < parts.length; i++) {
+        var tmp = parts[i].split('=', 2);
+        var key = jQuery.urldecode(tmp[0]);
+        var value = jQuery.urldecode(tmp[1]);
+        if (key in result)
+            result[key].push(value);
+        else
+            result[key] = [value];
+    }
+    return result;
+};
+
+/**
+ * highlight a given string on a jquery object by wrapping it in
+ * span elements with the given class name.
+ */
+jQuery.fn.highlightText = function(text, className) {
+    function highlight(node, addItems) {
+        if (node.nodeType === 3) {
+            var val = node.nodeValue;
+            var pos = val.toLowerCase().indexOf(text);
+            if (pos >= 0 &&
+                !jQuery(node.parentNode).hasClass(className) &&
+                !jQuery(node.parentNode).hasClass("nohighlight")) {
+                var span;
+                var isInSVG = jQuery(node).closest("body, svg, foreignObject").is("svg");
+                if (isInSVG) {
+                    span = document.createElementNS("http://www.w3.org/2000/svg", "tspan");
+                } else {
+                    span = document.createElement("span");
+                    span.className = className;
+                }
+                span.appendChild(document.createTextNode(val.substr(pos, text.length)));
+                node.parentNode.insertBefore(span, node.parentNode.insertBefore(
+                    document.createTextNode(val.substr(pos + text.length)),
+                    node.nextSibling));
+                node.nodeValue = val.substr(0, pos);
+                if (isInSVG) {
+                    var rect = document.createElementNS("http://www.w3.org/2000/svg", "rect");
+                    var bbox = node.parentElement.getBBox();
+                    rect.x.baseVal.value = bbox.x;
+                    rect.y.baseVal.value = bbox.y;
+                    rect.width.baseVal.value = bbox.width;
+                    rect.height.baseVal.value = bbox.height;
+                    rect.setAttribute('class', className);
+                    addItems.push({
+                        "parent": node.parentNode,
+                        "target": rect});
+                }
+            }
+        }
+        else if (!jQuery(node).is("button, select, textarea")) {
+            jQuery.each(node.childNodes, function() {
+                highlight(this, addItems);
+            });
+        }
+    }
+    var addItems = [];
+    var result = this.each(function() {
+        highlight(this, addItems);
+    });
+    for (var i = 0; i < addItems.length; ++i) {
+        jQuery(addItems[i].parent).before(addItems[i].target);
+    }
+    return result;
+};
+
+/*
+ * backward compatibility for jQuery.browser
+ * This will be supported until firefox bug is fixed.
+ */
+if (!jQuery.browser) {
+    jQuery.uaMatch = function(ua) {
+        ua = ua.toLowerCase();
+
+        var match = /(chrome)[ \/]([\w.]+)/.exec(ua) ||
+            /(webkit)[ \/]([\w.]+)/.exec(ua) ||
+            /(opera)(?:.*version|)[ \/]([\w.]+)/.exec(ua) ||
+            /(msie) ([\w.]+)/.exec(ua) ||
+            ua.indexOf("compatible") < 0 && /(mozilla)(?:.*? rv:([\w.]+)|)/.exec(ua) ||
+            [];
+
+        return {
+            browser: match[ 1 ] || "",
+            version: match[ 2 ] || "0"
+        };
+    };
+    jQuery.browser = {};
+    jQuery.browser[jQuery.uaMatch(navigator.userAgent).browser] = true;
+}
diff --git a/trackpy/v0.6.2/_static/basic.css b/trackpy/v0.6.2/_static/basic.css
new file mode 100644
index 00000000..08896771
--- /dev/null
+++ b/trackpy/v0.6.2/_static/basic.css
@@ -0,0 +1,930 @@
+/*
+ * basic.css
+ * ~~~~~~~~~
+ *
+ * Sphinx stylesheet -- basic theme.
+ *
+ * :copyright: Copyright 2007-2022 by the Sphinx team, see AUTHORS.
+ * :license: BSD, see LICENSE for details.
+ *
+ */
+
+/* -- main layout ----------------------------------------------------------- */
+
+div.clearer {
+    clear: both;
+}
+
+div.section::after {
+    display: block;
+    content: '';
+    clear: left;
+}
+
+/* -- relbar ---------------------------------------------------------------- */
+
+div.related {
+    width: 100%;
+    font-size: 90%;
+}
+
+div.related h3 {
+    display: none;
+}
+
+div.related ul {
+    margin: 0;
+    padding: 0 0 0 10px;
+    list-style: none;
+}
+
+div.related li {
+    display: inline;
+}
+
+div.related li.right {
+    float: right;
+    margin-right: 5px;
+}
+
+/* -- sidebar --------------------------------------------------------------- */
+
+div.sphinxsidebarwrapper {
+    padding: 10px 5px 0 10px;
+}
+
+div.sphinxsidebar {
+    float: left;
+    width: 230px;
+    margin-left: -100%;
+    font-size: 90%;
+    word-wrap: break-word;
+    overflow-wrap : break-word;
+}
+
+div.sphinxsidebar ul {
+    list-style: none;
+}
+
+div.sphinxsidebar ul ul,
+div.sphinxsidebar ul.want-points {
+    margin-left: 20px;
+    list-style: square;
+}
+
+div.sphinxsidebar ul ul {
+    margin-top: 0;
+    margin-bottom: 0;
+}
+
+div.sphinxsidebar form {
+    margin-top: 10px;
+}
+
+div.sphinxsidebar input {
+    border: 1px solid #98dbcc;
+    font-family: sans-serif;
+    font-size: 1em;
+}
+
+div.sphinxsidebar #searchbox form.search {
+    overflow: hidden;
+}
+
+div.sphinxsidebar #searchbox input[type="text"] {
+    float: left;
+    width: 80%;
+    padding: 0.25em;
+    box-sizing: border-box;
+}
+
+div.sphinxsidebar #searchbox input[type="submit"] {
+    float: left;
+    width: 20%;
+    border-left: none;
+    padding: 0.25em;
+    box-sizing: border-box;
+}
+
+
+img {
+    border: 0;
+    max-width: 100%;
+}
+
+/* -- search page ----------------------------------------------------------- */
+
+ul.search {
+    margin: 10px 0 0 20px;
+    padding: 0;
+}
+
+ul.search li {
+    padding: 5px 0 5px 20px;
+    background-image: url(file.png);
+    background-repeat: no-repeat;
+    background-position: 0 7px;
+}
+
+ul.search li a {
+    font-weight: bold;
+}
+
+ul.search li p.context {
+    color: #888;
+    margin: 2px 0 0 30px;
+    text-align: left;
+}
+
+ul.keywordmatches li.goodmatch a {
+    font-weight: bold;
+}
+
+/* -- index page ------------------------------------------------------------ */
+
+table.contentstable {
+    width: 90%;
+    margin-left: auto;
+    margin-right: auto;
+}
+
+table.contentstable p.biglink {
+    line-height: 150%;
+}
+
+a.biglink {
+    font-size: 1.3em;
+}
+
+span.linkdescr {
+    font-style: italic;
+    padding-top: 5px;
+    font-size: 90%;
+}
+
+/* -- general index --------------------------------------------------------- */
+
+table.indextable {
+    width: 100%;
+}
+
+table.indextable td {
+    text-align: left;
+    vertical-align: top;
+}
+
+table.indextable ul {
+    margin-top: 0;
+    margin-bottom: 0;
+    list-style-type: none;
+}
+
+table.indextable > tbody > tr > td > ul {
+    padding-left: 0em;
+}
+
+table.indextable tr.pcap {
+    height: 10px;
+}
+
+table.indextable tr.cap {
+    margin-top: 10px;
+    background-color: #f2f2f2;
+}
+
+img.toggler {
+    margin-right: 3px;
+    margin-top: 3px;
+    cursor: pointer;
+}
+
+div.modindex-jumpbox {
+    border-top: 1px solid #ddd;
+    border-bottom: 1px solid #ddd;
+    margin: 1em 0 1em 0;
+    padding: 0.4em;
+}
+
+div.genindex-jumpbox {
+    border-top: 1px solid #ddd;
+    border-bottom: 1px solid #ddd;
+    margin: 1em 0 1em 0;
+    padding: 0.4em;
+}
+
+/* -- domain module index --------------------------------------------------- */
+
+table.modindextable td {
+    padding: 2px;
+    border-collapse: collapse;
+}
+
+/* -- general body styles --------------------------------------------------- */
+
+div.body {
+    min-width: 360px;
+    max-width: 800px;
+}
+
+div.body p, div.body dd, div.body li, div.body blockquote {
+    -moz-hyphens: auto;
+    -ms-hyphens: auto;
+    -webkit-hyphens: auto;
+    hyphens: auto;
+}
+
+a.headerlink {
+    visibility: hidden;
+}
+
+h1:hover > a.headerlink,
+h2:hover > a.headerlink,
+h3:hover > a.headerlink,
+h4:hover > a.headerlink,
+h5:hover > a.headerlink,
+h6:hover > a.headerlink,
+dt:hover > a.headerlink,
+caption:hover > a.headerlink,
+p.caption:hover > a.headerlink,
+div.code-block-caption:hover > a.headerlink {
+    visibility: visible;
+}
+
+div.body p.caption {
+    text-align: inherit;
+}
+
+div.body td {
+    text-align: left;
+}
+
+.first {
+    margin-top: 0 !important;
+}
+
+p.rubric {
+    margin-top: 30px;
+    font-weight: bold;
+}
+
+img.align-left, figure.align-left, .figure.align-left, object.align-left {
+    clear: left;
+    float: left;
+    margin-right: 1em;
+}
+
+img.align-right, figure.align-right, .figure.align-right, object.align-right {
+    clear: right;
+    float: right;
+    margin-left: 1em;
+}
+
+img.align-center, figure.align-center, .figure.align-center, object.align-center {
+  display: block;
+  margin-left: auto;
+  margin-right: auto;
+}
+
+img.align-default, figure.align-default, .figure.align-default {
+  display: block;
+  margin-left: auto;
+  margin-right: auto;
+}
+
+.align-left {
+    text-align: left;
+}
+
+.align-center {
+    text-align: center;
+}
+
+.align-default {
+    text-align: center;
+}
+
+.align-right {
+    text-align: right;
+}
+
+/* -- sidebars -------------------------------------------------------------- */
+
+div.sidebar,
+aside.sidebar {
+    margin: 0 0 0.5em 1em;
+    border: 1px solid #ddb;
+    padding: 7px;
+    background-color: #ffe;
+    width: 40%;
+    float: right;
+    clear: right;
+    overflow-x: auto;
+}
+
+p.sidebar-title {
+    font-weight: bold;
+}
+nav.contents,
+aside.topic,
+
+div.admonition, div.topic, blockquote {
+    clear: left;
+}
+
+/* -- topics ---------------------------------------------------------------- */
+nav.contents,
+aside.topic,
+
+div.topic {
+    border: 1px solid #ccc;
+    padding: 7px;
+    margin: 10px 0 10px 0;
+}
+
+p.topic-title {
+    font-size: 1.1em;
+    font-weight: bold;
+    margin-top: 10px;
+}
+
+/* -- admonitions ----------------------------------------------------------- */
+
+div.admonition {
+    margin-top: 10px;
+    margin-bottom: 10px;
+    padding: 7px;
+}
+
+div.admonition dt {
+    font-weight: bold;
+}
+
+p.admonition-title {
+    margin: 0px 10px 5px 0px;
+    font-weight: bold;
+}
+
+div.body p.centered {
+    text-align: center;
+    margin-top: 25px;
+}
+
+/* -- content of sidebars/topics/admonitions -------------------------------- */
+
+div.sidebar > :last-child,
+aside.sidebar > :last-child,
+nav.contents > :last-child,
+aside.topic > :last-child,
+
+div.topic > :last-child,
+div.admonition > :last-child {
+    margin-bottom: 0;
+}
+
+div.sidebar::after,
+aside.sidebar::after,
+nav.contents::after,
+aside.topic::after,
+
+div.topic::after,
+div.admonition::after,
+blockquote::after {
+    display: block;
+    content: '';
+    clear: both;
+}
+
+/* -- tables ---------------------------------------------------------------- */
+
+table.docutils {
+    margin-top: 10px;
+    margin-bottom: 10px;
+    border: 0;
+    border-collapse: collapse;
+}
+
+table.align-center {
+    margin-left: auto;
+    margin-right: auto;
+}
+
+table.align-default {
+    margin-left: auto;
+    margin-right: auto;
+}
+
+table caption span.caption-number {
+    font-style: italic;
+}
+
+table caption span.caption-text {
+}
+
+table.docutils td, table.docutils th {
+    padding: 1px 8px 1px 5px;
+    border-top: 0;
+    border-left: 0;
+    border-right: 0;
+    border-bottom: 1px solid #aaa;
+}
+
+th {
+    text-align: left;
+    padding-right: 5px;
+}
+
+table.citation {
+    border-left: solid 1px gray;
+    margin-left: 1px;
+}
+
+table.citation td {
+    border-bottom: none;
+}
+
+th > :first-child,
+td > :first-child {
+    margin-top: 0px;
+}
+
+th > :last-child,
+td > :last-child {
+    margin-bottom: 0px;
+}
+
+/* -- figures --------------------------------------------------------------- */
+
+div.figure, figure {
+    margin: 0.5em;
+    padding: 0.5em;
+}
+
+div.figure p.caption, figcaption {
+    padding: 0.3em;
+}
+
+div.figure p.caption span.caption-number,
+figcaption span.caption-number {
+    font-style: italic;
+}
+
+div.figure p.caption span.caption-text,
+figcaption span.caption-text {
+}
+
+/* -- field list styles ----------------------------------------------------- */
+
+table.field-list td, table.field-list th {
+    border: 0 !important;
+}
+
+.field-list ul {
+    margin: 0;
+    padding-left: 1em;
+}
+
+.field-list p {
+    margin: 0;
+}
+
+.field-name {
+    -moz-hyphens: manual;
+    -ms-hyphens: manual;
+    -webkit-hyphens: manual;
+    hyphens: manual;
+}
+
+/* -- hlist styles ---------------------------------------------------------- */
+
+table.hlist {
+    margin: 1em 0;
+}
+
+table.hlist td {
+    vertical-align: top;
+}
+
+/* -- object description styles --------------------------------------------- */
+
+.sig {
+	font-family: 'Consolas', 'Menlo', 'DejaVu Sans Mono', 'Bitstream Vera Sans Mono', monospace;
+}
+
+.sig-name, code.descname {
+    background-color: transparent;
+    font-weight: bold;
+}
+
+.sig-name {
+	font-size: 1.1em;
+}
+
+code.descname {
+    font-size: 1.2em;
+}
+
+.sig-prename, code.descclassname {
+    background-color: transparent;
+}
+
+.optional {
+    font-size: 1.3em;
+}
+
+.sig-paren {
+    font-size: larger;
+}
+
+.sig-param.n {
+	font-style: italic;
+}
+
+/* C++ specific styling */
+
+.sig-inline.c-texpr,
+.sig-inline.cpp-texpr {
+	font-family: unset;
+}
+
+.sig.c   .k, .sig.c   .kt,
+.sig.cpp .k, .sig.cpp .kt {
+	color: #0033B3;
+}
+
+.sig.c   .m,
+.sig.cpp .m {
+	color: #1750EB;
+}
+
+.sig.c   .s, .sig.c   .sc,
+.sig.cpp .s, .sig.cpp .sc {
+	color: #067D17;
+}
+
+
+/* -- other body styles ----------------------------------------------------- */
+
+ol.arabic {
+    list-style: decimal;
+}
+
+ol.loweralpha {
+    list-style: lower-alpha;
+}
+
+ol.upperalpha {
+    list-style: upper-alpha;
+}
+
+ol.lowerroman {
+    list-style: lower-roman;
+}
+
+ol.upperroman {
+    list-style: upper-roman;
+}
+
+:not(li) > ol > li:first-child > :first-child,
+:not(li) > ul > li:first-child > :first-child {
+    margin-top: 0px;
+}
+
+:not(li) > ol > li:last-child > :last-child,
+:not(li) > ul > li:last-child > :last-child {
+    margin-bottom: 0px;
+}
+
+ol.simple ol p,
+ol.simple ul p,
+ul.simple ol p,
+ul.simple ul p {
+    margin-top: 0;
+}
+
+ol.simple > li:not(:first-child) > p,
+ul.simple > li:not(:first-child) > p {
+    margin-top: 0;
+}
+
+ol.simple p,
+ul.simple p {
+    margin-bottom: 0;
+}
+
+/* Docutils 0.17 and older (footnotes & citations) */
+dl.footnote > dt,
+dl.citation > dt {
+    float: left;
+    margin-right: 0.5em;
+}
+
+dl.footnote > dd,
+dl.citation > dd {
+    margin-bottom: 0em;
+}
+
+dl.footnote > dd:after,
+dl.citation > dd:after {
+    content: "";
+    clear: both;
+}
+
+/* Docutils 0.18+ (footnotes & citations) */
+aside.footnote > span,
+div.citation > span {
+    float: left;
+}
+aside.footnote > span:last-of-type,
+div.citation > span:last-of-type {
+  padding-right: 0.5em;
+}
+aside.footnote > p {
+  margin-left: 2em;
+}
+div.citation > p {
+  margin-left: 4em;
+}
+aside.footnote > p:last-of-type,
+div.citation > p:last-of-type {
+    margin-bottom: 0em;
+}
+aside.footnote > p:last-of-type:after,
+div.citation > p:last-of-type:after {
+    content: "";
+    clear: both;
+}
+
+/* Footnotes & citations ends */
+
+dl.field-list {
+    display: grid;
+    grid-template-columns: fit-content(30%) auto;
+}
+
+dl.field-list > dt {
+    font-weight: bold;
+    word-break: break-word;
+    padding-left: 0.5em;
+    padding-right: 5px;
+}
+
+dl.field-list > dt:after {
+    content: ":";
+}
+
+dl.field-list > dd {
+    padding-left: 0.5em;
+    margin-top: 0em;
+    margin-left: 0em;
+    margin-bottom: 0em;
+}
+
+dl {
+    margin-bottom: 15px;
+}
+
+dd > :first-child {
+    margin-top: 0px;
+}
+
+dd ul, dd table {
+    margin-bottom: 10px;
+}
+
+dd {
+    margin-top: 3px;
+    margin-bottom: 10px;
+    margin-left: 30px;
+}
+
+dl > dd:last-child,
+dl > dd:last-child > :last-child {
+    margin-bottom: 0;
+}
+
+dt:target, span.highlighted {
+    background-color: #fbe54e;
+}
+
+rect.highlighted {
+    fill: #fbe54e;
+}
+
+dl.glossary dt {
+    font-weight: bold;
+    font-size: 1.1em;
+}
+
+.versionmodified {
+    font-style: italic;
+}
+
+.system-message {
+    background-color: #fda;
+    padding: 5px;
+    border: 3px solid red;
+}
+
+.footnote:target  {
+    background-color: #ffa;
+}
+
+.line-block {
+    display: block;
+    margin-top: 1em;
+    margin-bottom: 1em;
+}
+
+.line-block .line-block {
+    margin-top: 0;
+    margin-bottom: 0;
+    margin-left: 1.5em;
+}
+
+.guilabel, .menuselection {
+    font-family: sans-serif;
+}
+
+.accelerator {
+    text-decoration: underline;
+}
+
+.classifier {
+    font-style: oblique;
+}
+
+.classifier:before {
+    font-style: normal;
+    margin: 0 0.5em;
+    content: ":";
+    display: inline-block;
+}
+
+abbr, acronym {
+    border-bottom: dotted 1px;
+    cursor: help;
+}
+
+/* -- code displays --------------------------------------------------------- */
+
+pre {
+    overflow: auto;
+    overflow-y: hidden;  /* fixes display issues on Chrome browsers */
+}
+
+pre, div[class*="highlight-"] {
+    clear: both;
+}
+
+span.pre {
+    -moz-hyphens: none;
+    -ms-hyphens: none;
+    -webkit-hyphens: none;
+    hyphens: none;
+    white-space: nowrap;
+}
+
+div[class*="highlight-"] {
+    margin: 1em 0;
+}
+
+td.linenos pre {
+    border: 0;
+    background-color: transparent;
+    color: #aaa;
+}
+
+table.highlighttable {
+    display: block;
+}
+
+table.highlighttable tbody {
+    display: block;
+}
+
+table.highlighttable tr {
+    display: flex;
+}
+
+table.highlighttable td {
+    margin: 0;
+    padding: 0;
+}
+
+table.highlighttable td.linenos {
+    padding-right: 0.5em;
+}
+
+table.highlighttable td.code {
+    flex: 1;
+    overflow: hidden;
+}
+
+.highlight .hll {
+    display: block;
+}
+
+div.highlight pre,
+table.highlighttable pre {
+    margin: 0;
+}
+
+div.code-block-caption + div {
+    margin-top: 0;
+}
+
+div.code-block-caption {
+    margin-top: 1em;
+    padding: 2px 5px;
+    font-size: small;
+}
+
+div.code-block-caption code {
+    background-color: transparent;
+}
+
+table.highlighttable td.linenos,
+span.linenos,
+div.highlight span.gp {  /* gp: Generic.Prompt */
+  user-select: none;
+  -webkit-user-select: text; /* Safari fallback only */
+  -webkit-user-select: none; /* Chrome/Safari */
+  -moz-user-select: none; /* Firefox */
+  -ms-user-select: none; /* IE10+ */
+}
+
+div.code-block-caption span.caption-number {
+    padding: 0.1em 0.3em;
+    font-style: italic;
+}
+
+div.code-block-caption span.caption-text {
+}
+
+div.literal-block-wrapper {
+    margin: 1em 0;
+}
+
+code.xref, a code {
+    background-color: transparent;
+    font-weight: bold;
+}
+
+h1 code, h2 code, h3 code, h4 code, h5 code, h6 code {
+    background-color: transparent;
+}
+
+.viewcode-link {
+    float: right;
+}
+
+.viewcode-back {
+    float: right;
+    font-family: sans-serif;
+}
+
+div.viewcode-block:target {
+    margin: -1px -10px;
+    padding: 0 10px;
+}
+
+/* -- math display ---------------------------------------------------------- */
+
+img.math {
+    vertical-align: middle;
+}
+
+div.body div.math p {
+    text-align: center;
+}
+
+span.eqno {
+    float: right;
+}
+
+span.eqno a.headerlink {
+    position: absolute;
+    z-index: 1;
+}
+
+div.math:hover a.headerlink {
+    visibility: visible;
+}
+
+/* -- printout stylesheet --------------------------------------------------- */
+
+@media print {
+    div.document,
+    div.documentwrapper,
+    div.bodywrapper {
+        margin: 0 !important;
+        width: 100%;
+    }
+
+    div.sphinxsidebar,
+    div.related,
+    div.footer,
+    #top-link {
+        display: none;
+    }
+}
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_static/bootstrap-2.3.2/css/bootstrap-responsive.css b/trackpy/v0.6.2/_static/bootstrap-2.3.2/css/bootstrap-responsive.css
new file mode 100644
index 00000000..09e88ce3
--- /dev/null
+++ b/trackpy/v0.6.2/_static/bootstrap-2.3.2/css/bootstrap-responsive.css
@@ -0,0 +1,1109 @@
+/*!
+ * Bootstrap Responsive v2.3.2
+ *
+ * Copyright 2012 Twitter, Inc
+ * Licensed under the Apache License v2.0
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Designed and built with all the love in the world @twitter by @mdo and @fat.
+ */
+
+.clearfix {
+  *zoom: 1;
+}
+
+.clearfix:before,
+.clearfix:after {
+  display: table;
+  line-height: 0;
+  content: "";
+}
+
+.clearfix:after {
+  clear: both;
+}
+
+.hide-text {
+  font: 0/0 a;
+  color: transparent;
+  text-shadow: none;
+  background-color: transparent;
+  border: 0;
+}
+
+.input-block-level {
+  display: block;
+  width: 100%;
+  min-height: 30px;
+  -webkit-box-sizing: border-box;
+     -moz-box-sizing: border-box;
+          box-sizing: border-box;
+}
+
+@-ms-viewport {
+  width: device-width;
+}
+
+.hidden {
+  display: none;
+  visibility: hidden;
+}
+
+.visible-phone {
+  display: none !important;
+}
+
+.visible-tablet {
+  display: none !important;
+}
+
+.hidden-desktop {
+  display: none !important;
+}
+
+.visible-desktop {
+  display: inherit !important;
+}
+
+@media (min-width: 768px) and (max-width: 979px) {
+  .hidden-desktop {
+    display: inherit !important;
+  }
+  .visible-desktop {
+    display: none !important ;
+  }
+  .visible-tablet {
+    display: inherit !important;
+  }
+  .hidden-tablet {
+    display: none !important;
+  }
+}
+
+@media (max-width: 767px) {
+  .hidden-desktop {
+    display: inherit !important;
+  }
+  .visible-desktop {
+    display: none !important;
+  }
+  .visible-phone {
+    display: inherit !important;
+  }
+  .hidden-phone {
+    display: none !important;
+  }
+}
+
+.visible-print {
+  display: none !important;
+}
+
+@media print {
+  .visible-print {
+    display: inherit !important;
+  }
+  .hidden-print {
+    display: none !important;
+  }
+}
+
+@media (min-width: 1200px) {
+  .row {
+    margin-left: -30px;
+    *zoom: 1;
+  }
+  .row:before,
+  .row:after {
+    display: table;
+    line-height: 0;
+    content: "";
+  }
+  .row:after {
+    clear: both;
+  }
+  [class*="span"] {
+    float: left;
+    min-height: 1px;
+    margin-left: 30px;
+  }
+  .container,
+  .navbar-static-top .container,
+  .navbar-fixed-top .container,
+  .navbar-fixed-bottom .container {
+    width: 1170px;
+  }
+  .span12 {
+    width: 1170px;
+  }
+  .span11 {
+    width: 1070px;
+  }
+  .span10 {
+    width: 970px;
+  }
+  .span9 {
+    width: 870px;
+  }
+  .span8 {
+    width: 770px;
+  }
+  .span7 {
+    width: 670px;
+  }
+  .span6 {
+    width: 570px;
+  }
+  .span5 {
+    width: 470px;
+  }
+  .span4 {
+    width: 370px;
+  }
+  .span3 {
+    width: 270px;
+  }
+  .span2 {
+    width: 170px;
+  }
+  .span1 {
+    width: 70px;
+  }
+  .offset12 {
+    margin-left: 1230px;
+  }
+  .offset11 {
+    margin-left: 1130px;
+  }
+  .offset10 {
+    margin-left: 1030px;
+  }
+  .offset9 {
+    margin-left: 930px;
+  }
+  .offset8 {
+    margin-left: 830px;
+  }
+  .offset7 {
+    margin-left: 730px;
+  }
+  .offset6 {
+    margin-left: 630px;
+  }
+  .offset5 {
+    margin-left: 530px;
+  }
+  .offset4 {
+    margin-left: 430px;
+  }
+  .offset3 {
+    margin-left: 330px;
+  }
+  .offset2 {
+    margin-left: 230px;
+  }
+  .offset1 {
+    margin-left: 130px;
+  }
+  .row-fluid {
+    width: 100%;
+    *zoom: 1;
+  }
+  .row-fluid:before,
+  .row-fluid:after {
+    display: table;
+    line-height: 0;
+    content: "";
+  }
+  .row-fluid:after {
+    clear: both;
+  }
+  .row-fluid [class*="span"] {
+    display: block;
+    float: left;
+    width: 100%;
+    min-height: 30px;
+    margin-left: 2.564102564102564%;
+    *margin-left: 2.5109110747408616%;
+    -webkit-box-sizing: border-box;
+       -moz-box-sizing: border-box;
+            box-sizing: border-box;
+  }
+  .row-fluid [class*="span"]:first-child {
+    margin-left: 0;
+  }
+  .row-fluid .controls-row [class*="span"] + [class*="span"] {
+    margin-left: 2.564102564102564%;
+  }
+  .row-fluid .span12 {
+    width: 100%;
+    *width: 99.94680851063829%;
+  }
+  .row-fluid .span11 {
+    width: 91.45299145299145%;
+    *width: 91.39979996362975%;
+  }
+  .row-fluid .span10 {
+    width: 82.90598290598291%;
+    *width: 82.8527914166212%;
+  }
+  .row-fluid .span9 {
+    width: 74.35897435897436%;
+    *width: 74.30578286961266%;
+  }
+  .row-fluid .span8 {
+    width: 65.81196581196582%;
+    *width: 65.75877432260411%;
+  }
+  .row-fluid .span7 {
+    width: 57.26495726495726%;
+    *width: 57.21176577559556%;
+  }
+  .row-fluid .span6 {
+    width: 48.717948717948715%;
+    *width: 48.664757228587014%;
+  }
+  .row-fluid .span5 {
+    width: 40.17094017094017%;
+    *width: 40.11774868157847%;
+  }
+  .row-fluid .span4 {
+    width: 31.623931623931625%;
+    *width: 31.570740134569924%;
+  }
+  .row-fluid .span3 {
+    width: 23.076923076923077%;
+    *width: 23.023731587561375%;
+  }
+  .row-fluid .span2 {
+    width: 14.52991452991453%;
+    *width: 14.476723040552828%;
+  }
+  .row-fluid .span1 {
+    width: 5.982905982905983%;
+    *width: 5.929714493544281%;
+  }
+  .row-fluid .offset12 {
+    margin-left: 105.12820512820512%;
+    *margin-left: 105.02182214948171%;
+  }
+  .row-fluid .offset12:first-child {
+    margin-left: 102.56410256410257%;
+    *margin-left: 102.45771958537915%;
+  }
+  .row-fluid .offset11 {
+    margin-left: 96.58119658119658%;
+    *margin-left: 96.47481360247316%;
+  }
+  .row-fluid .offset11:first-child {
+    margin-left: 94.01709401709402%;
+    *margin-left: 93.91071103837061%;
+  }
+  .row-fluid .offset10 {
+    margin-left: 88.03418803418803%;
+    *margin-left: 87.92780505546462%;
+  }
+  .row-fluid .offset10:first-child {
+    margin-left: 85.47008547008548%;
+    *margin-left: 85.36370249136206%;
+  }
+  .row-fluid .offset9 {
+    margin-left: 79.48717948717949%;
+    *margin-left: 79.38079650845607%;
+  }
+  .row-fluid .offset9:first-child {
+    margin-left: 76.92307692307693%;
+    *margin-left: 76.81669394435352%;
+  }
+  .row-fluid .offset8 {
+    margin-left: 70.94017094017094%;
+    *margin-left: 70.83378796144753%;
+  }
+  .row-fluid .offset8:first-child {
+    margin-left: 68.37606837606839%;
+    *margin-left: 68.26968539734497%;
+  }
+  .row-fluid .offset7 {
+    margin-left: 62.393162393162385%;
+    *margin-left: 62.28677941443899%;
+  }
+  .row-fluid .offset7:first-child {
+    margin-left: 59.82905982905982%;
+    *margin-left: 59.72267685033642%;
+  }
+  .row-fluid .offset6 {
+    margin-left: 53.84615384615384%;
+    *margin-left: 53.739770867430444%;
+  }
+  .row-fluid .offset6:first-child {
+    margin-left: 51.28205128205128%;
+    *margin-left: 51.175668303327875%;
+  }
+  .row-fluid .offset5 {
+    margin-left: 45.299145299145295%;
+    *margin-left: 45.1927623204219%;
+  }
+  .row-fluid .offset5:first-child {
+    margin-left: 42.73504273504273%;
+    *margin-left: 42.62865975631933%;
+  }
+  .row-fluid .offset4 {
+    margin-left: 36.75213675213675%;
+    *margin-left: 36.645753773413354%;
+  }
+  .row-fluid .offset4:first-child {
+    margin-left: 34.18803418803419%;
+    *margin-left: 34.081651209310785%;
+  }
+  .row-fluid .offset3 {
+    margin-left: 28.205128205128204%;
+    *margin-left: 28.0987452264048%;
+  }
+  .row-fluid .offset3:first-child {
+    margin-left: 25.641025641025642%;
+    *margin-left: 25.53464266230224%;
+  }
+  .row-fluid .offset2 {
+    margin-left: 19.65811965811966%;
+    *margin-left: 19.551736679396257%;
+  }
+  .row-fluid .offset2:first-child {
+    margin-left: 17.094017094017094%;
+    *margin-left: 16.98763411529369%;
+  }
+  .row-fluid .offset1 {
+    margin-left: 11.11111111111111%;
+    *margin-left: 11.004728132387708%;
+  }
+  .row-fluid .offset1:first-child {
+    margin-left: 8.547008547008547%;
+    *margin-left: 8.440625568285142%;
+  }
+  input,
+  textarea,
+  .uneditable-input {
+    margin-left: 0;
+  }
+  .controls-row [class*="span"] + [class*="span"] {
+    margin-left: 30px;
+  }
+  input.span12,
+  textarea.span12,
+  .uneditable-input.span12 {
+    width: 1156px;
+  }
+  input.span11,
+  textarea.span11,
+  .uneditable-input.span11 {
+    width: 1056px;
+  }
+  input.span10,
+  textarea.span10,
+  .uneditable-input.span10 {
+    width: 956px;
+  }
+  input.span9,
+  textarea.span9,
+  .uneditable-input.span9 {
+    width: 856px;
+  }
+  input.span8,
+  textarea.span8,
+  .uneditable-input.span8 {
+    width: 756px;
+  }
+  input.span7,
+  textarea.span7,
+  .uneditable-input.span7 {
+    width: 656px;
+  }
+  input.span6,
+  textarea.span6,
+  .uneditable-input.span6 {
+    width: 556px;
+  }
+  input.span5,
+  textarea.span5,
+  .uneditable-input.span5 {
+    width: 456px;
+  }
+  input.span4,
+  textarea.span4,
+  .uneditable-input.span4 {
+    width: 356px;
+  }
+  input.span3,
+  textarea.span3,
+  .uneditable-input.span3 {
+    width: 256px;
+  }
+  input.span2,
+  textarea.span2,
+  .uneditable-input.span2 {
+    width: 156px;
+  }
+  input.span1,
+  textarea.span1,
+  .uneditable-input.span1 {
+    width: 56px;
+  }
+  .thumbnails {
+    margin-left: -30px;
+  }
+  .thumbnails > li {
+    margin-left: 30px;
+  }
+  .row-fluid .thumbnails {
+    margin-left: 0;
+  }
+}
+
+@media (min-width: 768px) and (max-width: 979px) {
+  .row {
+    margin-left: -20px;
+    *zoom: 1;
+  }
+  .row:before,
+  .row:after {
+    display: table;
+    line-height: 0;
+    content: "";
+  }
+  .row:after {
+    clear: both;
+  }
+  [class*="span"] {
+    float: left;
+    min-height: 1px;
+    margin-left: 20px;
+  }
+  .container,
+  .navbar-static-top .container,
+  .navbar-fixed-top .container,
+  .navbar-fixed-bottom .container {
+    width: 724px;
+  }
+  .span12 {
+    width: 724px;
+  }
+  .span11 {
+    width: 662px;
+  }
+  .span10 {
+    width: 600px;
+  }
+  .span9 {
+    width: 538px;
+  }
+  .span8 {
+    width: 476px;
+  }
+  .span7 {
+    width: 414px;
+  }
+  .span6 {
+    width: 352px;
+  }
+  .span5 {
+    width: 290px;
+  }
+  .span4 {
+    width: 228px;
+  }
+  .span3 {
+    width: 166px;
+  }
+  .span2 {
+    width: 104px;
+  }
+  .span1 {
+    width: 42px;
+  }
+  .offset12 {
+    margin-left: 764px;
+  }
+  .offset11 {
+    margin-left: 702px;
+  }
+  .offset10 {
+    margin-left: 640px;
+  }
+  .offset9 {
+    margin-left: 578px;
+  }
+  .offset8 {
+    margin-left: 516px;
+  }
+  .offset7 {
+    margin-left: 454px;
+  }
+  .offset6 {
+    margin-left: 392px;
+  }
+  .offset5 {
+    margin-left: 330px;
+  }
+  .offset4 {
+    margin-left: 268px;
+  }
+  .offset3 {
+    margin-left: 206px;
+  }
+  .offset2 {
+    margin-left: 144px;
+  }
+  .offset1 {
+    margin-left: 82px;
+  }
+  .row-fluid {
+    width: 100%;
+    *zoom: 1;
+  }
+  .row-fluid:before,
+  .row-fluid:after {
+    display: table;
+    line-height: 0;
+    content: "";
+  }
+  .row-fluid:after {
+    clear: both;
+  }
+  .row-fluid [class*="span"] {
+    display: block;
+    float: left;
+    width: 100%;
+    min-height: 30px;
+    margin-left: 2.7624309392265194%;
+    *margin-left: 2.709239449864817%;
+    -webkit-box-sizing: border-box;
+       -moz-box-sizing: border-box;
+            box-sizing: border-box;
+  }
+  .row-fluid [class*="span"]:first-child {
+    margin-left: 0;
+  }
+  .row-fluid .controls-row [class*="span"] + [class*="span"] {
+    margin-left: 2.7624309392265194%;
+  }
+  .row-fluid .span12 {
+    width: 100%;
+    *width: 99.94680851063829%;
+  }
+  .row-fluid .span11 {
+    width: 91.43646408839778%;
+    *width: 91.38327259903608%;
+  }
+  .row-fluid .span10 {
+    width: 82.87292817679558%;
+    *width: 82.81973668743387%;
+  }
+  .row-fluid .span9 {
+    width: 74.30939226519337%;
+    *width: 74.25620077583166%;
+  }
+  .row-fluid .span8 {
+    width: 65.74585635359117%;
+    *width: 65.69266486422946%;
+  }
+  .row-fluid .span7 {
+    width: 57.18232044198895%;
+    *width: 57.12912895262725%;
+  }
+  .row-fluid .span6 {
+    width: 48.61878453038674%;
+    *width: 48.56559304102504%;
+  }
+  .row-fluid .span5 {
+    width: 40.05524861878453%;
+    *width: 40.00205712942283%;
+  }
+  .row-fluid .span4 {
+    width: 31.491712707182323%;
+    *width: 31.43852121782062%;
+  }
+  .row-fluid .span3 {
+    width: 22.92817679558011%;
+    *width: 22.87498530621841%;
+  }
+  .row-fluid .span2 {
+    width: 14.3646408839779%;
+    *width: 14.311449394616199%;
+  }
+  .row-fluid .span1 {
+    width: 5.801104972375691%;
+    *width: 5.747913483013988%;
+  }
+  .row-fluid .offset12 {
+    margin-left: 105.52486187845304%;
+    *margin-left: 105.41847889972962%;
+  }
+  .row-fluid .offset12:first-child {
+    margin-left: 102.76243093922652%;
+    *margin-left: 102.6560479605031%;
+  }
+  .row-fluid .offset11 {
+    margin-left: 96.96132596685082%;
+    *margin-left: 96.8549429881274%;
+  }
+  .row-fluid .offset11:first-child {
+    margin-left: 94.1988950276243%;
+    *margin-left: 94.09251204890089%;
+  }
+  .row-fluid .offset10 {
+    margin-left: 88.39779005524862%;
+    *margin-left: 88.2914070765252%;
+  }
+  .row-fluid .offset10:first-child {
+    margin-left: 85.6353591160221%;
+    *margin-left: 85.52897613729868%;
+  }
+  .row-fluid .offset9 {
+    margin-left: 79.8342541436464%;
+    *margin-left: 79.72787116492299%;
+  }
+  .row-fluid .offset9:first-child {
+    margin-left: 77.07182320441989%;
+    *margin-left: 76.96544022569647%;
+  }
+  .row-fluid .offset8 {
+    margin-left: 71.2707182320442%;
+    *margin-left: 71.16433525332079%;
+  }
+  .row-fluid .offset8:first-child {
+    margin-left: 68.50828729281768%;
+    *margin-left: 68.40190431409427%;
+  }
+  .row-fluid .offset7 {
+    margin-left: 62.70718232044199%;
+    *margin-left: 62.600799341718584%;
+  }
+  .row-fluid .offset7:first-child {
+    margin-left: 59.94475138121547%;
+    *margin-left: 59.838368402492065%;
+  }
+  .row-fluid .offset6 {
+    margin-left: 54.14364640883978%;
+    *margin-left: 54.037263430116376%;
+  }
+  .row-fluid .offset6:first-child {
+    margin-left: 51.38121546961326%;
+    *margin-left: 51.27483249088986%;
+  }
+  .row-fluid .offset5 {
+    margin-left: 45.58011049723757%;
+    *margin-left: 45.47372751851417%;
+  }
+  .row-fluid .offset5:first-child {
+    margin-left: 42.81767955801105%;
+    *margin-left: 42.71129657928765%;
+  }
+  .row-fluid .offset4 {
+    margin-left: 37.01657458563536%;
+    *margin-left: 36.91019160691196%;
+  }
+  .row-fluid .offset4:first-child {
+    margin-left: 34.25414364640884%;
+    *margin-left: 34.14776066768544%;
+  }
+  .row-fluid .offset3 {
+    margin-left: 28.45303867403315%;
+    *margin-left: 28.346655695309746%;
+  }
+  .row-fluid .offset3:first-child {
+    margin-left: 25.69060773480663%;
+    *margin-left: 25.584224756083227%;
+  }
+  .row-fluid .offset2 {
+    margin-left: 19.88950276243094%;
+    *margin-left: 19.783119783707537%;
+  }
+  .row-fluid .offset2:first-child {
+    margin-left: 17.12707182320442%;
+    *margin-left: 17.02068884448102%;
+  }
+  .row-fluid .offset1 {
+    margin-left: 11.32596685082873%;
+    *margin-left: 11.219583872105325%;
+  }
+  .row-fluid .offset1:first-child {
+    margin-left: 8.56353591160221%;
+    *margin-left: 8.457152932878806%;
+  }
+  input,
+  textarea,
+  .uneditable-input {
+    margin-left: 0;
+  }
+  .controls-row [class*="span"] + [class*="span"] {
+    margin-left: 20px;
+  }
+  input.span12,
+  textarea.span12,
+  .uneditable-input.span12 {
+    width: 710px;
+  }
+  input.span11,
+  textarea.span11,
+  .uneditable-input.span11 {
+    width: 648px;
+  }
+  input.span10,
+  textarea.span10,
+  .uneditable-input.span10 {
+    width: 586px;
+  }
+  input.span9,
+  textarea.span9,
+  .uneditable-input.span9 {
+    width: 524px;
+  }
+  input.span8,
+  textarea.span8,
+  .uneditable-input.span8 {
+    width: 462px;
+  }
+  input.span7,
+  textarea.span7,
+  .uneditable-input.span7 {
+    width: 400px;
+  }
+  input.span6,
+  textarea.span6,
+  .uneditable-input.span6 {
+    width: 338px;
+  }
+  input.span5,
+  textarea.span5,
+  .uneditable-input.span5 {
+    width: 276px;
+  }
+  input.span4,
+  textarea.span4,
+  .uneditable-input.span4 {
+    width: 214px;
+  }
+  input.span3,
+  textarea.span3,
+  .uneditable-input.span3 {
+    width: 152px;
+  }
+  input.span2,
+  textarea.span2,
+  .uneditable-input.span2 {
+    width: 90px;
+  }
+  input.span1,
+  textarea.span1,
+  .uneditable-input.span1 {
+    width: 28px;
+  }
+}
+
+@media (max-width: 767px) {
+  body {
+    padding-right: 20px;
+    padding-left: 20px;
+  }
+  .navbar-fixed-top,
+  .navbar-fixed-bottom,
+  .navbar-static-top {
+    margin-right: -20px;
+    margin-left: -20px;
+  }
+  .container-fluid {
+    padding: 0;
+  }
+  .dl-horizontal dt {
+    float: none;
+    width: auto;
+    clear: none;
+    text-align: left;
+  }
+  .dl-horizontal dd {
+    margin-left: 0;
+  }
+  .container {
+    width: auto;
+  }
+  .row-fluid {
+    width: 100%;
+  }
+  .row,
+  .thumbnails {
+    margin-left: 0;
+  }
+  .thumbnails > li {
+    float: none;
+    margin-left: 0;
+  }
+  [class*="span"],
+  .uneditable-input[class*="span"],
+  .row-fluid [class*="span"] {
+    display: block;
+    float: none;
+    width: 100%;
+    margin-left: 0;
+    -webkit-box-sizing: border-box;
+       -moz-box-sizing: border-box;
+            box-sizing: border-box;
+  }
+  .span12,
+  .row-fluid .span12 {
+    width: 100%;
+    -webkit-box-sizing: border-box;
+       -moz-box-sizing: border-box;
+            box-sizing: border-box;
+  }
+  .row-fluid [class*="offset"]:first-child {
+    margin-left: 0;
+  }
+  .input-large,
+  .input-xlarge,
+  .input-xxlarge,
+  input[class*="span"],
+  select[class*="span"],
+  textarea[class*="span"],
+  .uneditable-input {
+    display: block;
+    width: 100%;
+    min-height: 30px;
+    -webkit-box-sizing: border-box;
+       -moz-box-sizing: border-box;
+            box-sizing: border-box;
+  }
+  .input-prepend input,
+  .input-append input,
+  .input-prepend input[class*="span"],
+  .input-append input[class*="span"] {
+    display: inline-block;
+    width: auto;
+  }
+  .controls-row [class*="span"] + [class*="span"] {
+    margin-left: 0;
+  }
+  .modal {
+    position: fixed;
+    top: 20px;
+    right: 20px;
+    left: 20px;
+    width: auto;
+    margin: 0;
+  }
+  .modal.fade {
+    top: -100px;
+  }
+  .modal.fade.in {
+    top: 20px;
+  }
+}
+
+@media (max-width: 480px) {
+  .nav-collapse {
+    -webkit-transform: translate3d(0, 0, 0);
+  }
+  .page-header h1 small {
+    display: block;
+    line-height: 20px;
+  }
+  input[type="checkbox"],
+  input[type="radio"] {
+    border: 1px solid #ccc;
+  }
+  .form-horizontal .control-label {
+    float: none;
+    width: auto;
+    padding-top: 0;
+    text-align: left;
+  }
+  .form-horizontal .controls {
+    margin-left: 0;
+  }
+  .form-horizontal .control-list {
+    padding-top: 0;
+  }
+  .form-horizontal .form-actions {
+    padding-right: 10px;
+    padding-left: 10px;
+  }
+  .media .pull-left,
+  .media .pull-right {
+    display: block;
+    float: none;
+    margin-bottom: 10px;
+  }
+  .media-object {
+    margin-right: 0;
+    margin-left: 0;
+  }
+  .modal {
+    top: 10px;
+    right: 10px;
+    left: 10px;
+  }
+  .modal-header .close {
+    padding: 10px;
+    margin: -10px;
+  }
+  .carousel-caption {
+    position: static;
+  }
+}
+
+@media (max-width: 979px) {
+  body {
+    padding-top: 0;
+  }
+  .navbar-fixed-top,
+  .navbar-fixed-bottom {
+    position: static;
+  }
+  .navbar-fixed-top {
+    margin-bottom: 20px;
+  }
+  .navbar-fixed-bottom {
+    margin-top: 20px;
+  }
+  .navbar-fixed-top .navbar-inner,
+  .navbar-fixed-bottom .navbar-inner {
+    padding: 5px;
+  }
+  .navbar .container {
+    width: auto;
+    padding: 0;
+  }
+  .navbar .brand {
+    padding-right: 10px;
+    padding-left: 10px;
+    margin: 0 0 0 -5px;
+  }
+  .nav-collapse {
+    clear: both;
+  }
+  .nav-collapse .nav {
+    float: none;
+    margin: 0 0 10px;
+  }
+  .nav-collapse .nav > li {
+    float: none;
+  }
+  .nav-collapse .nav > li > a {
+    margin-bottom: 2px;
+  }
+  .nav-collapse .nav > .divider-vertical {
+    display: none;
+  }
+  .nav-collapse .nav .nav-header {
+    color: #777777;
+    text-shadow: none;
+  }
+  .nav-collapse .nav > li > a,
+  .nav-collapse .dropdown-menu a {
+    padding: 9px 15px;
+    font-weight: bold;
+    color: #777777;
+    -webkit-border-radius: 3px;
+       -moz-border-radius: 3px;
+            border-radius: 3px;
+  }
+  .nav-collapse .btn {
+    padding: 4px 10px 4px;
+    font-weight: normal;
+    -webkit-border-radius: 4px;
+       -moz-border-radius: 4px;
+            border-radius: 4px;
+  }
+  .nav-collapse .dropdown-menu li + li a {
+    margin-bottom: 2px;
+  }
+  .nav-collapse .nav > li > a:hover,
+  .nav-collapse .nav > li > a:focus,
+  .nav-collapse .dropdown-menu a:hover,
+  .nav-collapse .dropdown-menu a:focus {
+    background-color: #f2f2f2;
+  }
+  .navbar-inverse .nav-collapse .nav > li > a,
+  .navbar-inverse .nav-collapse .dropdown-menu a {
+    color: #999999;
+  }
+  .navbar-inverse .nav-collapse .nav > li > a:hover,
+  .navbar-inverse .nav-collapse .nav > li > a:focus,
+  .navbar-inverse .nav-collapse .dropdown-menu a:hover,
+  .navbar-inverse .nav-collapse .dropdown-menu a:focus {
+    background-color: #111111;
+  }
+  .nav-collapse.in .btn-group {
+    padding: 0;
+    margin-top: 5px;
+  }
+  .nav-collapse .dropdown-menu {
+    position: static;
+    top: auto;
+    left: auto;
+    display: none;
+    float: none;
+    max-width: none;
+    padding: 0;
+    margin: 0 15px;
+    background-color: transparent;
+    border: none;
+    -webkit-border-radius: 0;
+       -moz-border-radius: 0;
+            border-radius: 0;
+    -webkit-box-shadow: none;
+       -moz-box-shadow: none;
+            box-shadow: none;
+  }
+  .nav-collapse .open > .dropdown-menu {
+    display: block;
+  }
+  .nav-collapse .dropdown-menu:before,
+  .nav-collapse .dropdown-menu:after {
+    display: none;
+  }
+  .nav-collapse .dropdown-menu .divider {
+    display: none;
+  }
+  .nav-collapse .nav > li > .dropdown-menu:before,
+  .nav-collapse .nav > li > .dropdown-menu:after {
+    display: none;
+  }
+  .nav-collapse .navbar-form,
+  .nav-collapse .navbar-search {
+    float: none;
+    padding: 10px 15px;
+    margin: 10px 0;
+    border-top: 1px solid #f2f2f2;
+    border-bottom: 1px solid #f2f2f2;
+    -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
+       -moz-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
+            box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
+  }
+  .navbar-inverse .nav-collapse .navbar-form,
+  .navbar-inverse .nav-collapse .navbar-search {
+    border-top-color: #111111;
+    border-bottom-color: #111111;
+  }
+  .navbar .nav-collapse .nav.pull-right {
+    float: none;
+    margin-left: 0;
+  }
+  .nav-collapse,
+  .nav-collapse.collapse {
+    height: 0;
+    overflow: hidden;
+  }
+  .navbar .btn-navbar {
+    display: block;
+  }
+  .navbar-static .navbar-inner {
+    padding-right: 10px;
+    padding-left: 10px;
+  }
+}
+
+@media (min-width: 980px) {
+  .nav-collapse.collapse {
+    height: auto !important;
+    overflow: visible !important;
+  }
+}
diff --git a/trackpy/v0.6.2/_static/bootstrap-2.3.2/css/bootstrap-responsive.min.css b/trackpy/v0.6.2/_static/bootstrap-2.3.2/css/bootstrap-responsive.min.css
new file mode 100644
index 00000000..f4ede63f
--- /dev/null
+++ b/trackpy/v0.6.2/_static/bootstrap-2.3.2/css/bootstrap-responsive.min.css
@@ -0,0 +1,9 @@
+/*!
+ * Bootstrap Responsive v2.3.2
+ *
+ * Copyright 2012 Twitter, Inc
+ * Licensed under the Apache License v2.0
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Designed and built with all the love in the world @twitter by @mdo and @fat.
+ */.clearfix{*zoom:1}.clearfix:before,.clearfix:after{display:table;line-height:0;content:""}.clearfix:after{clear:both}.hide-text{font:0/0 a;color:transparent;text-shadow:none;background-color:transparent;border:0}.input-block-level{display:block;width:100%;min-height:30px;-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box}@-ms-viewport{width:device-width}.hidden{display:none;visibility:hidden}.visible-phone{display:none!important}.visible-tablet{display:none!important}.hidden-desktop{display:none!important}.visible-desktop{display:inherit!important}@media(min-width:768px) and (max-width:979px){.hidden-desktop{display:inherit!important}.visible-desktop{display:none!important}.visible-tablet{display:inherit!important}.hidden-tablet{display:none!important}}@media(max-width:767px){.hidden-desktop{display:inherit!important}.visible-desktop{display:none!important}.visible-phone{display:inherit!important}.hidden-phone{display:none!important}}.visible-print{display:none!important}@media print{.visible-print{display:inherit!important}.hidden-print{display:none!important}}@media(min-width:1200px){.row{margin-left:-30px;*zoom:1}.row:before,.row:after{display:table;line-height:0;content:""}.row:after{clear:both}[class*="span"]{float:left;min-height:1px;margin-left:30px}.container,.navbar-static-top .container,.navbar-fixed-top .container,.navbar-fixed-bottom .container{width:1170px}.span12{width:1170px}.span11{width:1070px}.span10{width:970px}.span9{width:870px}.span8{width:770px}.span7{width:670px}.span6{width:570px}.span5{width:470px}.span4{width:370px}.span3{width:270px}.span2{width:170px}.span1{width:70px}.offset12{margin-left:1230px}.offset11{margin-left:1130px}.offset10{margin-left:1030px}.offset9{margin-left:930px}.offset8{margin-left:830px}.offset7{margin-left:730px}.offset6{margin-left:630px}.offset5{margin-left:530px}.offset4{margin-left:430px}.offset3{margin-left:330px}.offset2{margin-left:230px}.offset1{margin-left:130px}.row-fluid{width:100%;*zoom:1}.row-fluid:before,.row-fluid:after{display:table;line-height:0;content:""}.row-fluid:after{clear:both}.row-fluid [class*="span"]{display:block;float:left;width:100%;min-height:30px;margin-left:2.564102564102564%;*margin-left:2.5109110747408616%;-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box}.row-fluid 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diff --git a/trackpy/v0.6.2/_static/bootstrap-2.3.2/css/bootstrap.css b/trackpy/v0.6.2/_static/bootstrap-2.3.2/css/bootstrap.css
new file mode 100644
index 00000000..b725064a
--- /dev/null
+++ b/trackpy/v0.6.2/_static/bootstrap-2.3.2/css/bootstrap.css
@@ -0,0 +1,6167 @@
+/*!
+ * Bootstrap v2.3.2
+ *
+ * Copyright 2012 Twitter, Inc
+ * Licensed under the Apache License v2.0
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Designed and built with all the love in the world @twitter by @mdo and @fat.
+ */
+
+.clearfix {
+  *zoom: 1;
+}
+
+.clearfix:before,
+.clearfix:after {
+  display: table;
+  line-height: 0;
+  content: "";
+}
+
+.clearfix:after {
+  clear: both;
+}
+
+.hide-text {
+  font: 0/0 a;
+  color: transparent;
+  text-shadow: none;
+  background-color: transparent;
+  border: 0;
+}
+
+.input-block-level {
+  display: block;
+  width: 100%;
+  min-height: 30px;
+  -webkit-box-sizing: border-box;
+     -moz-box-sizing: border-box;
+          box-sizing: border-box;
+}
+
+article,
+aside,
+details,
+figcaption,
+figure,
+footer,
+header,
+hgroup,
+nav,
+section {
+  display: block;
+}
+
+audio,
+canvas,
+video {
+  display: inline-block;
+  *display: inline;
+  *zoom: 1;
+}
+
+audio:not([controls]) {
+  display: none;
+}
+
+html {
+  font-size: 100%;
+  -webkit-text-size-adjust: 100%;
+      -ms-text-size-adjust: 100%;
+}
+
+a:focus {
+  outline: thin dotted #333;
+  outline: 5px auto -webkit-focus-ring-color;
+  outline-offset: -2px;
+}
+
+a:hover,
+a:active {
+  outline: 0;
+}
+
+sub,
+sup {
+  position: relative;
+  font-size: 75%;
+  line-height: 0;
+  vertical-align: baseline;
+}
+
+sup {
+  top: -0.5em;
+}
+
+sub {
+  bottom: -0.25em;
+}
+
+img {
+  width: auto\9;
+  height: auto;
+  max-width: 100%;
+  vertical-align: middle;
+  border: 0;
+  -ms-interpolation-mode: bicubic;
+}
+
+#map_canvas img,
+.google-maps img {
+  max-width: none;
+}
+
+button,
+input,
+select,
+textarea {
+  margin: 0;
+  font-size: 100%;
+  vertical-align: middle;
+}
+
+button,
+input {
+  *overflow: visible;
+  line-height: normal;
+}
+
+button::-moz-focus-inner,
+input::-moz-focus-inner {
+  padding: 0;
+  border: 0;
+}
+
+button,
+html input[type="button"],
+input[type="reset"],
+input[type="submit"] {
+  cursor: pointer;
+  -webkit-appearance: button;
+}
+
+label,
+select,
+button,
+input[type="button"],
+input[type="reset"],
+input[type="submit"],
+input[type="radio"],
+input[type="checkbox"] {
+  cursor: pointer;
+}
+
+input[type="search"] {
+  -webkit-box-sizing: content-box;
+     -moz-box-sizing: content-box;
+          box-sizing: content-box;
+  -webkit-appearance: textfield;
+}
+
+input[type="search"]::-webkit-search-decoration,
+input[type="search"]::-webkit-search-cancel-button {
+  -webkit-appearance: none;
+}
+
+textarea {
+  overflow: auto;
+  vertical-align: top;
+}
+
+@media print {
+  * {
+    color: #000 !important;
+    text-shadow: none !important;
+    background: transparent !important;
+    box-shadow: none !important;
+  }
+  a,
+  a:visited {
+    text-decoration: underline;
+  }
+  a[href]:after {
+    content: " (" attr(href) ")";
+  }
+  abbr[title]:after {
+    content: " (" attr(title) ")";
+  }
+  .ir a:after,
+  a[href^="javascript:"]:after,
+  a[href^="#"]:after {
+    content: "";
+  }
+  pre,
+  blockquote {
+    border: 1px solid #999;
+    page-break-inside: avoid;
+  }
+  thead {
+    display: table-header-group;
+  }
+  tr,
+  img {
+    page-break-inside: avoid;
+  }
+  img {
+    max-width: 100% !important;
+  }
+  @page  {
+    margin: 0.5cm;
+  }
+  p,
+  h2,
+  h3 {
+    orphans: 3;
+    widows: 3;
+  }
+  h2,
+  h3 {
+    page-break-after: avoid;
+  }
+}
+
+body {
+  margin: 0;
+  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
+  font-size: 14px;
+  line-height: 20px;
+  color: #333333;
+  background-color: #ffffff;
+}
+
+a {
+  color: #0088cc;
+  text-decoration: none;
+}
+
+a:hover,
+a:focus {
+  color: #005580;
+  text-decoration: underline;
+}
+
+.img-rounded {
+  -webkit-border-radius: 6px;
+     -moz-border-radius: 6px;
+          border-radius: 6px;
+}
+
+.img-polaroid {
+  padding: 4px;
+  background-color: #fff;
+  border: 1px solid #ccc;
+  border: 1px solid rgba(0, 0, 0, 0.2);
+  -webkit-box-shadow: 0 1px 3px rgba(0, 0, 0, 0.1);
+     -moz-box-shadow: 0 1px 3px rgba(0, 0, 0, 0.1);
+          box-shadow: 0 1px 3px rgba(0, 0, 0, 0.1);
+}
+
+.img-circle {
+  -webkit-border-radius: 500px;
+     -moz-border-radius: 500px;
+          border-radius: 500px;
+}
+
+.row {
+  margin-left: -20px;
+  *zoom: 1;
+}
+
+.row:before,
+.row:after {
+  display: table;
+  line-height: 0;
+  content: "";
+}
+
+.row:after {
+  clear: both;
+}
+
+[class*="span"] {
+  float: left;
+  min-height: 1px;
+  margin-left: 20px;
+}
+
+.container,
+.navbar-static-top .container,
+.navbar-fixed-top .container,
+.navbar-fixed-bottom .container {
+  width: 940px;
+}
+
+.span12 {
+  width: 940px;
+}
+
+.span11 {
+  width: 860px;
+}
+
+.span10 {
+  width: 780px;
+}
+
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+  width: 700px;
+}
+
+.span8 {
+  width: 620px;
+}
+
+.span7 {
+  width: 540px;
+}
+
+.span6 {
+  width: 460px;
+}
+
+.span5 {
+  width: 380px;
+}
+
+.span4 {
+  width: 300px;
+}
+
+.span3 {
+  width: 220px;
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+.row-fluid select[class*="span"],
+.row-fluid textarea[class*="span"],
+.row-fluid .uneditable-input[class*="span"],
+.row-fluid .input-prepend [class*="span"],
+.row-fluid .input-append [class*="span"] {
+  display: inline-block;
+}
+
+input,
+textarea,
+.uneditable-input {
+  margin-left: 0;
+}
+
+.controls-row [class*="span"] + [class*="span"] {
+  margin-left: 20px;
+}
+
+input.span12,
+textarea.span12,
+.uneditable-input.span12 {
+  width: 926px;
+}
+
+input.span11,
+textarea.span11,
+.uneditable-input.span11 {
+  width: 846px;
+}
+
+input.span10,
+textarea.span10,
+.uneditable-input.span10 {
+  width: 766px;
+}
+
+input.span9,
+textarea.span9,
+.uneditable-input.span9 {
+  width: 686px;
+}
+
+input.span8,
+textarea.span8,
+.uneditable-input.span8 {
+  width: 606px;
+}
+
+input.span7,
+textarea.span7,
+.uneditable-input.span7 {
+  width: 526px;
+}
+
+input.span6,
+textarea.span6,
+.uneditable-input.span6 {
+  width: 446px;
+}
+
+input.span5,
+textarea.span5,
+.uneditable-input.span5 {
+  width: 366px;
+}
+
+input.span4,
+textarea.span4,
+.uneditable-input.span4 {
+  width: 286px;
+}
+
+input.span3,
+textarea.span3,
+.uneditable-input.span3 {
+  width: 206px;
+}
+
+input.span2,
+textarea.span2,
+.uneditable-input.span2 {
+  width: 126px;
+}
+
+input.span1,
+textarea.span1,
+.uneditable-input.span1 {
+  width: 46px;
+}
+
+.controls-row {
+  *zoom: 1;
+}
+
+.controls-row:before,
+.controls-row:after {
+  display: table;
+  line-height: 0;
+  content: "";
+}
+
+.controls-row:after {
+  clear: both;
+}
+
+.controls-row [class*="span"],
+.row-fluid .controls-row [class*="span"] {
+  float: left;
+}
+
+.controls-row .checkbox[class*="span"],
+.controls-row .radio[class*="span"] {
+  padding-top: 5px;
+}
+
+input[disabled],
+select[disabled],
+textarea[disabled],
+input[readonly],
+select[readonly],
+textarea[readonly] {
+  cursor: not-allowed;
+  background-color: #eeeeee;
+}
+
+input[type="radio"][disabled],
+input[type="checkbox"][disabled],
+input[type="radio"][readonly],
+input[type="checkbox"][readonly] {
+  background-color: transparent;
+}
+
+.control-group.warning .control-label,
+.control-group.warning .help-block,
+.control-group.warning .help-inline {
+  color: #c09853;
+}
+
+.control-group.warning .checkbox,
+.control-group.warning .radio,
+.control-group.warning input,
+.control-group.warning select,
+.control-group.warning textarea {
+  color: #c09853;
+}
+
+.control-group.warning input,
+.control-group.warning select,
+.control-group.warning textarea {
+  border-color: #c09853;
+  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
+     -moz-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
+          box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
+}
+
+.control-group.warning input:focus,
+.control-group.warning select:focus,
+.control-group.warning textarea:focus {
+  border-color: #a47e3c;
+  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #dbc59e;
+     -moz-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #dbc59e;
+          box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #dbc59e;
+}
+
+.control-group.warning .input-prepend .add-on,
+.control-group.warning .input-append .add-on {
+  color: #c09853;
+  background-color: #fcf8e3;
+  border-color: #c09853;
+}
+
+.control-group.error .control-label,
+.control-group.error .help-block,
+.control-group.error .help-inline {
+  color: #b94a48;
+}
+
+.control-group.error .checkbox,
+.control-group.error .radio,
+.control-group.error input,
+.control-group.error select,
+.control-group.error textarea {
+  color: #b94a48;
+}
+
+.control-group.error input,
+.control-group.error select,
+.control-group.error textarea {
+  border-color: #b94a48;
+  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
+     -moz-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
+          box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
+}
+
+.control-group.error input:focus,
+.control-group.error select:focus,
+.control-group.error textarea:focus {
+  border-color: #953b39;
+  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #d59392;
+     -moz-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #d59392;
+          box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #d59392;
+}
+
+.control-group.error .input-prepend .add-on,
+.control-group.error .input-append .add-on {
+  color: #b94a48;
+  background-color: #f2dede;
+  border-color: #b94a48;
+}
+
+.control-group.success .control-label,
+.control-group.success .help-block,
+.control-group.success .help-inline {
+  color: #468847;
+}
+
+.control-group.success .checkbox,
+.control-group.success .radio,
+.control-group.success input,
+.control-group.success select,
+.control-group.success textarea {
+  color: #468847;
+}
+
+.control-group.success input,
+.control-group.success select,
+.control-group.success textarea {
+  border-color: #468847;
+  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
+     -moz-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
+          box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
+}
+
+.control-group.success input:focus,
+.control-group.success select:focus,
+.control-group.success textarea:focus {
+  border-color: #356635;
+  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #7aba7b;
+     -moz-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #7aba7b;
+          box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #7aba7b;
+}
+
+.control-group.success .input-prepend .add-on,
+.control-group.success .input-append .add-on {
+  color: #468847;
+  background-color: #dff0d8;
+  border-color: #468847;
+}
+
+.control-group.info .control-label,
+.control-group.info .help-block,
+.control-group.info .help-inline {
+  color: #3a87ad;
+}
+
+.control-group.info .checkbox,
+.control-group.info .radio,
+.control-group.info input,
+.control-group.info select,
+.control-group.info textarea {
+  color: #3a87ad;
+}
+
+.control-group.info input,
+.control-group.info select,
+.control-group.info textarea {
+  border-color: #3a87ad;
+  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
+     -moz-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
+          box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
+}
+
+.control-group.info input:focus,
+.control-group.info select:focus,
+.control-group.info textarea:focus {
+  border-color: #2d6987;
+  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #7ab5d3;
+     -moz-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #7ab5d3;
+          box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #7ab5d3;
+}
+
+.control-group.info .input-prepend .add-on,
+.control-group.info .input-append .add-on {
+  color: #3a87ad;
+  background-color: #d9edf7;
+  border-color: #3a87ad;
+}
+
+input:focus:invalid,
+textarea:focus:invalid,
+select:focus:invalid {
+  color: #b94a48;
+  border-color: #ee5f5b;
+}
+
+input:focus:invalid:focus,
+textarea:focus:invalid:focus,
+select:focus:invalid:focus {
+  border-color: #e9322d;
+  -webkit-box-shadow: 0 0 6px #f8b9b7;
+     -moz-box-shadow: 0 0 6px #f8b9b7;
+          box-shadow: 0 0 6px #f8b9b7;
+}
+
+.form-actions {
+  padding: 19px 20px 20px;
+  margin-top: 20px;
+  margin-bottom: 20px;
+  background-color: #f5f5f5;
+  border-top: 1px solid #e5e5e5;
+  *zoom: 1;
+}
+
+.form-actions:before,
+.form-actions:after {
+  display: table;
+  line-height: 0;
+  content: "";
+}
+
+.form-actions:after {
+  clear: both;
+}
+
+.help-block,
+.help-inline {
+  color: #595959;
+}
+
+.help-block {
+  display: block;
+  margin-bottom: 10px;
+}
+
+.help-inline {
+  display: inline-block;
+  *display: inline;
+  padding-left: 5px;
+  vertical-align: middle;
+  *zoom: 1;
+}
+
+.input-append,
+.input-prepend {
+  display: inline-block;
+  margin-bottom: 10px;
+  font-size: 0;
+  white-space: nowrap;
+  vertical-align: middle;
+}
+
+.input-append input,
+.input-prepend input,
+.input-append select,
+.input-prepend select,
+.input-append .uneditable-input,
+.input-prepend .uneditable-input,
+.input-append .dropdown-menu,
+.input-prepend .dropdown-menu,
+.input-append .popover,
+.input-prepend .popover {
+  font-size: 14px;
+}
+
+.input-append input,
+.input-prepend input,
+.input-append select,
+.input-prepend select,
+.input-append .uneditable-input,
+.input-prepend .uneditable-input {
+  position: relative;
+  margin-bottom: 0;
+  *margin-left: 0;
+  vertical-align: top;
+  -webkit-border-radius: 0 4px 4px 0;
+     -moz-border-radius: 0 4px 4px 0;
+          border-radius: 0 4px 4px 0;
+}
+
+.input-append input:focus,
+.input-prepend input:focus,
+.input-append select:focus,
+.input-prepend select:focus,
+.input-append .uneditable-input:focus,
+.input-prepend .uneditable-input:focus {
+  z-index: 2;
+}
+
+.input-append .add-on,
+.input-prepend .add-on {
+  display: inline-block;
+  width: auto;
+  height: 20px;
+  min-width: 16px;
+  padding: 4px 5px;
+  font-size: 14px;
+  font-weight: normal;
+  line-height: 20px;
+  text-align: center;
+  text-shadow: 0 1px 0 #ffffff;
+  background-color: #eeeeee;
+  border: 1px solid #ccc;
+}
+
+.input-append .add-on,
+.input-prepend .add-on,
+.input-append .btn,
+.input-prepend .btn,
+.input-append .btn-group > .dropdown-toggle,
+.input-prepend .btn-group > .dropdown-toggle {
+  vertical-align: top;
+  -webkit-border-radius: 0;
+     -moz-border-radius: 0;
+          border-radius: 0;
+}
+
+.input-append .active,
+.input-prepend .active {
+  background-color: #a9dba9;
+  border-color: #46a546;
+}
+
+.input-prepend .add-on,
+.input-prepend .btn {
+  margin-right: -1px;
+}
+
+.input-prepend .add-on:first-child,
+.input-prepend .btn:first-child {
+  -webkit-border-radius: 4px 0 0 4px;
+     -moz-border-radius: 4px 0 0 4px;
+          border-radius: 4px 0 0 4px;
+}
+
+.input-append input,
+.input-append select,
+.input-append .uneditable-input {
+  -webkit-border-radius: 4px 0 0 4px;
+     -moz-border-radius: 4px 0 0 4px;
+          border-radius: 4px 0 0 4px;
+}
+
+.input-append input + .btn-group .btn:last-child,
+.input-append select + .btn-group .btn:last-child,
+.input-append .uneditable-input + .btn-group .btn:last-child {
+  -webkit-border-radius: 0 4px 4px 0;
+     -moz-border-radius: 0 4px 4px 0;
+          border-radius: 0 4px 4px 0;
+}
+
+.input-append .add-on,
+.input-append .btn,
+.input-append .btn-group {
+  margin-left: -1px;
+}
+
+.input-append .add-on:last-child,
+.input-append .btn:last-child,
+.input-append .btn-group:last-child > .dropdown-toggle {
+  -webkit-border-radius: 0 4px 4px 0;
+     -moz-border-radius: 0 4px 4px 0;
+          border-radius: 0 4px 4px 0;
+}
+
+.input-prepend.input-append input,
+.input-prepend.input-append select,
+.input-prepend.input-append .uneditable-input {
+  -webkit-border-radius: 0;
+     -moz-border-radius: 0;
+          border-radius: 0;
+}
+
+.input-prepend.input-append input + .btn-group .btn,
+.input-prepend.input-append select + .btn-group .btn,
+.input-prepend.input-append .uneditable-input + .btn-group .btn {
+  -webkit-border-radius: 0 4px 4px 0;
+     -moz-border-radius: 0 4px 4px 0;
+          border-radius: 0 4px 4px 0;
+}
+
+.input-prepend.input-append .add-on:first-child,
+.input-prepend.input-append .btn:first-child {
+  margin-right: -1px;
+  -webkit-border-radius: 4px 0 0 4px;
+     -moz-border-radius: 4px 0 0 4px;
+          border-radius: 4px 0 0 4px;
+}
+
+.input-prepend.input-append .add-on:last-child,
+.input-prepend.input-append .btn:last-child {
+  margin-left: -1px;
+  -webkit-border-radius: 0 4px 4px 0;
+     -moz-border-radius: 0 4px 4px 0;
+          border-radius: 0 4px 4px 0;
+}
+
+.input-prepend.input-append .btn-group:first-child {
+  margin-left: 0;
+}
+
+input.search-query {
+  padding-right: 14px;
+  padding-right: 4px \9;
+  padding-left: 14px;
+  padding-left: 4px \9;
+  /* IE7-8 doesn't have border-radius, so don't indent the padding */
+
+  margin-bottom: 0;
+  -webkit-border-radius: 15px;
+     -moz-border-radius: 15px;
+          border-radius: 15px;
+}
+
+/* Allow for input prepend/append in search forms */
+
+.form-search .input-append .search-query,
+.form-search .input-prepend .search-query {
+  -webkit-border-radius: 0;
+     -moz-border-radius: 0;
+          border-radius: 0;
+}
+
+.form-search .input-append .search-query {
+  -webkit-border-radius: 14px 0 0 14px;
+     -moz-border-radius: 14px 0 0 14px;
+          border-radius: 14px 0 0 14px;
+}
+
+.form-search .input-append .btn {
+  -webkit-border-radius: 0 14px 14px 0;
+     -moz-border-radius: 0 14px 14px 0;
+          border-radius: 0 14px 14px 0;
+}
+
+.form-search .input-prepend .search-query {
+  -webkit-border-radius: 0 14px 14px 0;
+     -moz-border-radius: 0 14px 14px 0;
+          border-radius: 0 14px 14px 0;
+}
+
+.form-search .input-prepend .btn {
+  -webkit-border-radius: 14px 0 0 14px;
+     -moz-border-radius: 14px 0 0 14px;
+          border-radius: 14px 0 0 14px;
+}
+
+.form-search input,
+.form-inline input,
+.form-horizontal input,
+.form-search textarea,
+.form-inline textarea,
+.form-horizontal textarea,
+.form-search select,
+.form-inline select,
+.form-horizontal select,
+.form-search .help-inline,
+.form-inline .help-inline,
+.form-horizontal .help-inline,
+.form-search .uneditable-input,
+.form-inline .uneditable-input,
+.form-horizontal .uneditable-input,
+.form-search .input-prepend,
+.form-inline .input-prepend,
+.form-horizontal .input-prepend,
+.form-search .input-append,
+.form-inline .input-append,
+.form-horizontal .input-append {
+  display: inline-block;
+  *display: inline;
+  margin-bottom: 0;
+  vertical-align: middle;
+  *zoom: 1;
+}
+
+.form-search .hide,
+.form-inline .hide,
+.form-horizontal .hide {
+  display: none;
+}
+
+.form-search label,
+.form-inline label,
+.form-search .btn-group,
+.form-inline .btn-group {
+  display: inline-block;
+}
+
+.form-search .input-append,
+.form-inline .input-append,
+.form-search .input-prepend,
+.form-inline .input-prepend {
+  margin-bottom: 0;
+}
+
+.form-search .radio,
+.form-search .checkbox,
+.form-inline .radio,
+.form-inline .checkbox {
+  padding-left: 0;
+  margin-bottom: 0;
+  vertical-align: middle;
+}
+
+.form-search .radio input[type="radio"],
+.form-search .checkbox input[type="checkbox"],
+.form-inline .radio input[type="radio"],
+.form-inline .checkbox input[type="checkbox"] {
+  float: left;
+  margin-right: 3px;
+  margin-left: 0;
+}
+
+.control-group {
+  margin-bottom: 10px;
+}
+
+legend + .control-group {
+  margin-top: 20px;
+  -webkit-margin-top-collapse: separate;
+}
+
+.form-horizontal .control-group {
+  margin-bottom: 20px;
+  *zoom: 1;
+}
+
+.form-horizontal .control-group:before,
+.form-horizontal .control-group:after {
+  display: table;
+  line-height: 0;
+  content: "";
+}
+
+.form-horizontal .control-group:after {
+  clear: both;
+}
+
+.form-horizontal .control-label {
+  float: left;
+  width: 160px;
+  padding-top: 5px;
+  text-align: right;
+}
+
+.form-horizontal .controls {
+  *display: inline-block;
+  *padding-left: 20px;
+  margin-left: 180px;
+  *margin-left: 0;
+}
+
+.form-horizontal .controls:first-child {
+  *padding-left: 180px;
+}
+
+.form-horizontal .help-block {
+  margin-bottom: 0;
+}
+
+.form-horizontal input + .help-block,
+.form-horizontal select + .help-block,
+.form-horizontal textarea + .help-block,
+.form-horizontal .uneditable-input + .help-block,
+.form-horizontal .input-prepend + .help-block,
+.form-horizontal .input-append + .help-block {
+  margin-top: 10px;
+}
+
+.form-horizontal .form-actions {
+  padding-left: 180px;
+}
+
+table {
+  max-width: 100%;
+  background-color: transparent;
+  border-collapse: collapse;
+  border-spacing: 0;
+}
+
+.table {
+  width: 100%;
+  margin-bottom: 20px;
+}
+
+.table th,
+.table td {
+  padding: 8px;
+  line-height: 20px;
+  text-align: left;
+  vertical-align: top;
+  border-top: 1px solid #dddddd;
+}
+
+.table th {
+  font-weight: bold;
+}
+
+.table thead th {
+  vertical-align: bottom;
+}
+
+.table caption + thead tr:first-child th,
+.table caption + thead tr:first-child td,
+.table colgroup + thead tr:first-child th,
+.table colgroup + thead tr:first-child td,
+.table thead:first-child tr:first-child th,
+.table thead:first-child tr:first-child td {
+  border-top: 0;
+}
+
+.table tbody + tbody {
+  border-top: 2px solid #dddddd;
+}
+
+.table .table {
+  background-color: #ffffff;
+}
+
+.table-condensed th,
+.table-condensed td {
+  padding: 4px 5px;
+}
+
+.table-bordered {
+  border: 1px solid #dddddd;
+  border-collapse: separate;
+  *border-collapse: collapse;
+  border-left: 0;
+  -webkit-border-radius: 4px;
+     -moz-border-radius: 4px;
+          border-radius: 4px;
+}
+
+.table-bordered th,
+.table-bordered td {
+  border-left: 1px solid #dddddd;
+}
+
+.table-bordered caption + thead tr:first-child th,
+.table-bordered caption + tbody tr:first-child th,
+.table-bordered caption + tbody tr:first-child td,
+.table-bordered colgroup + thead tr:first-child th,
+.table-bordered colgroup + tbody tr:first-child th,
+.table-bordered colgroup + tbody tr:first-child td,
+.table-bordered thead:first-child tr:first-child th,
+.table-bordered tbody:first-child tr:first-child th,
+.table-bordered tbody:first-child tr:first-child td {
+  border-top: 0;
+}
+
+.table-bordered thead:first-child tr:first-child > th:first-child,
+.table-bordered tbody:first-child tr:first-child > td:first-child,
+.table-bordered tbody:first-child tr:first-child > th:first-child {
+  -webkit-border-top-left-radius: 4px;
+          border-top-left-radius: 4px;
+  -moz-border-radius-topleft: 4px;
+}
+
+.table-bordered thead:first-child tr:first-child > th:last-child,
+.table-bordered tbody:first-child tr:first-child > td:last-child,
+.table-bordered tbody:first-child tr:first-child > th:last-child {
+  -webkit-border-top-right-radius: 4px;
+          border-top-right-radius: 4px;
+  -moz-border-radius-topright: 4px;
+}
+
+.table-bordered thead:last-child tr:last-child > th:first-child,
+.table-bordered tbody:last-child tr:last-child > td:first-child,
+.table-bordered tbody:last-child tr:last-child > th:first-child,
+.table-bordered tfoot:last-child tr:last-child > td:first-child,
+.table-bordered tfoot:last-child tr:last-child > th:first-child {
+  -webkit-border-bottom-left-radius: 4px;
+          border-bottom-left-radius: 4px;
+  -moz-border-radius-bottomleft: 4px;
+}
+
+.table-bordered thead:last-child tr:last-child > th:last-child,
+.table-bordered tbody:last-child tr:last-child > td:last-child,
+.table-bordered tbody:last-child tr:last-child > th:last-child,
+.table-bordered tfoot:last-child tr:last-child > td:last-child,
+.table-bordered tfoot:last-child tr:last-child > th:last-child {
+  -webkit-border-bottom-right-radius: 4px;
+          border-bottom-right-radius: 4px;
+  -moz-border-radius-bottomright: 4px;
+}
+
+.table-bordered tfoot + tbody:last-child tr:last-child td:first-child {
+  -webkit-border-bottom-left-radius: 0;
+          border-bottom-left-radius: 0;
+  -moz-border-radius-bottomleft: 0;
+}
+
+.table-bordered tfoot + tbody:last-child tr:last-child td:last-child {
+  -webkit-border-bottom-right-radius: 0;
+          border-bottom-right-radius: 0;
+  -moz-border-radius-bottomright: 0;
+}
+
+.table-bordered caption + thead tr:first-child th:first-child,
+.table-bordered caption + tbody tr:first-child td:first-child,
+.table-bordered colgroup + thead tr:first-child th:first-child,
+.table-bordered colgroup + tbody tr:first-child td:first-child {
+  -webkit-border-top-left-radius: 4px;
+          border-top-left-radius: 4px;
+  -moz-border-radius-topleft: 4px;
+}
+
+.table-bordered caption + thead tr:first-child th:last-child,
+.table-bordered caption + tbody tr:first-child td:last-child,
+.table-bordered colgroup + thead tr:first-child th:last-child,
+.table-bordered colgroup + tbody tr:first-child td:last-child {
+  -webkit-border-top-right-radius: 4px;
+          border-top-right-radius: 4px;
+  -moz-border-radius-topright: 4px;
+}
+
+.table-striped tbody > tr:nth-child(odd) > td,
+.table-striped tbody > tr:nth-child(odd) > th {
+  background-color: #f9f9f9;
+}
+
+.table-hover tbody tr:hover > td,
+.table-hover tbody tr:hover > th {
+  background-color: #f5f5f5;
+}
+
+table td[class*="span"],
+table th[class*="span"],
+.row-fluid table td[class*="span"],
+.row-fluid table th[class*="span"] {
+  display: table-cell;
+  float: none;
+  margin-left: 0;
+}
+
+.table td.span1,
+.table th.span1 {
+  float: none;
+  width: 44px;
+  margin-left: 0;
+}
+
+.table td.span2,
+.table th.span2 {
+  float: none;
+  width: 124px;
+  margin-left: 0;
+}
+
+.table td.span3,
+.table th.span3 {
+  float: none;
+  width: 204px;
+  margin-left: 0;
+}
+
+.table td.span4,
+.table th.span4 {
+  float: none;
+  width: 284px;
+  margin-left: 0;
+}
+
+.table td.span5,
+.table th.span5 {
+  float: none;
+  width: 364px;
+  margin-left: 0;
+}
+
+.table td.span6,
+.table th.span6 {
+  float: none;
+  width: 444px;
+  margin-left: 0;
+}
+
+.table td.span7,
+.table th.span7 {
+  float: none;
+  width: 524px;
+  margin-left: 0;
+}
+
+.table td.span8,
+.table th.span8 {
+  float: none;
+  width: 604px;
+  margin-left: 0;
+}
+
+.table td.span9,
+.table th.span9 {
+  float: none;
+  width: 684px;
+  margin-left: 0;
+}
+
+.table td.span10,
+.table th.span10 {
+  float: none;
+  width: 764px;
+  margin-left: 0;
+}
+
+.table td.span11,
+.table th.span11 {
+  float: none;
+  width: 844px;
+  margin-left: 0;
+}
+
+.table td.span12,
+.table th.span12 {
+  float: none;
+  width: 924px;
+  margin-left: 0;
+}
+
+.table tbody tr.success > td {
+  background-color: #dff0d8;
+}
+
+.table tbody tr.error > td {
+  background-color: #f2dede;
+}
+
+.table tbody tr.warning > td {
+  background-color: #fcf8e3;
+}
+
+.table tbody tr.info > td {
+  background-color: #d9edf7;
+}
+
+.table-hover tbody tr.success:hover > td {
+  background-color: #d0e9c6;
+}
+
+.table-hover tbody tr.error:hover > td {
+  background-color: #ebcccc;
+}
+
+.table-hover tbody tr.warning:hover > td {
+  background-color: #faf2cc;
+}
+
+.table-hover tbody tr.info:hover > td {
+  background-color: #c4e3f3;
+}
+
+[class^="icon-"],
+[class*=" icon-"] {
+  display: inline-block;
+  width: 14px;
+  height: 14px;
+  margin-top: 1px;
+  *margin-right: .3em;
+  line-height: 14px;
+  vertical-align: text-top;
+  background-image: url("../img/glyphicons-halflings.png");
+  background-position: 14px 14px;
+  background-repeat: no-repeat;
+}
+
+/* White icons with optional class, or on hover/focus/active states of certain elements */
+
+.icon-white,
+.nav-pills > .active > a > [class^="icon-"],
+.nav-pills > .active > a > [class*=" icon-"],
+.nav-list > .active > a > [class^="icon-"],
+.nav-list > .active > a > [class*=" icon-"],
+.navbar-inverse .nav > .active > a > [class^="icon-"],
+.navbar-inverse .nav > .active > a > [class*=" icon-"],
+.dropdown-menu > li > a:hover > [class^="icon-"],
+.dropdown-menu > li > a:focus > [class^="icon-"],
+.dropdown-menu > li > a:hover > [class*=" icon-"],
+.dropdown-menu > li > a:focus > [class*=" icon-"],
+.dropdown-menu > .active > a > [class^="icon-"],
+.dropdown-menu > .active > a > [class*=" icon-"],
+.dropdown-submenu:hover > a > [class^="icon-"],
+.dropdown-submenu:focus > a > [class^="icon-"],
+.dropdown-submenu:hover > a > [class*=" icon-"],
+.dropdown-submenu:focus > a > [class*=" icon-"] {
+  background-image: url("../img/glyphicons-halflings-white.png");
+}
+
+.icon-glass {
+  background-position: 0      0;
+}
+
+.icon-music {
+  background-position: -24px 0;
+}
+
+.icon-search {
+  background-position: -48px 0;
+}
+
+.icon-envelope {
+  background-position: -72px 0;
+}
+
+.icon-heart {
+  background-position: -96px 0;
+}
+
+.icon-star {
+  background-position: -120px 0;
+}
+
+.icon-star-empty {
+  background-position: -144px 0;
+}
+
+.icon-user {
+  background-position: -168px 0;
+}
+
+.icon-film {
+  background-position: -192px 0;
+}
+
+.icon-th-large {
+  background-position: -216px 0;
+}
+
+.icon-th {
+  background-position: -240px 0;
+}
+
+.icon-th-list {
+  background-position: -264px 0;
+}
+
+.icon-ok {
+  background-position: -288px 0;
+}
+
+.icon-remove {
+  background-position: -312px 0;
+}
+
+.icon-zoom-in {
+  background-position: -336px 0;
+}
+
+.icon-zoom-out {
+  background-position: -360px 0;
+}
+
+.icon-off {
+  background-position: -384px 0;
+}
+
+.icon-signal {
+  background-position: -408px 0;
+}
+
+.icon-cog {
+  background-position: -432px 0;
+}
+
+.icon-trash {
+  background-position: -456px 0;
+}
+
+.icon-home {
+  background-position: 0 -24px;
+}
+
+.icon-file {
+  background-position: -24px -24px;
+}
+
+.icon-time {
+  background-position: -48px -24px;
+}
+
+.icon-road {
+  background-position: -72px -24px;
+}
+
+.icon-download-alt {
+  background-position: -96px -24px;
+}
+
+.icon-download {
+  background-position: -120px -24px;
+}
+
+.icon-upload {
+  background-position: -144px -24px;
+}
+
+.icon-inbox {
+  background-position: -168px -24px;
+}
+
+.icon-play-circle {
+  background-position: -192px -24px;
+}
+
+.icon-repeat {
+  background-position: -216px -24px;
+}
+
+.icon-refresh {
+  background-position: -240px -24px;
+}
+
+.icon-list-alt {
+  background-position: -264px -24px;
+}
+
+.icon-lock {
+  background-position: -287px -24px;
+}
+
+.icon-flag {
+  background-position: -312px -24px;
+}
+
+.icon-headphones {
+  background-position: -336px -24px;
+}
+
+.icon-volume-off {
+  background-position: -360px -24px;
+}
+
+.icon-volume-down {
+  background-position: -384px -24px;
+}
+
+.icon-volume-up {
+  background-position: -408px -24px;
+}
+
+.icon-qrcode {
+  background-position: -432px -24px;
+}
+
+.icon-barcode {
+  background-position: -456px -24px;
+}
+
+.icon-tag {
+  background-position: 0 -48px;
+}
+
+.icon-tags {
+  background-position: -25px -48px;
+}
+
+.icon-book {
+  background-position: -48px -48px;
+}
+
+.icon-bookmark {
+  background-position: -72px -48px;
+}
+
+.icon-print {
+  background-position: -96px -48px;
+}
+
+.icon-camera {
+  background-position: -120px -48px;
+}
+
+.icon-font {
+  background-position: -144px -48px;
+}
+
+.icon-bold {
+  background-position: -167px -48px;
+}
+
+.icon-italic {
+  background-position: -192px -48px;
+}
+
+.icon-text-height {
+  background-position: -216px -48px;
+}
+
+.icon-text-width {
+  background-position: -240px -48px;
+}
+
+.icon-align-left {
+  background-position: -264px -48px;
+}
+
+.icon-align-center {
+  background-position: -288px -48px;
+}
+
+.icon-align-right {
+  background-position: -312px -48px;
+}
+
+.icon-align-justify {
+  background-position: -336px -48px;
+}
+
+.icon-list {
+  background-position: -360px -48px;
+}
+
+.icon-indent-left {
+  background-position: -384px -48px;
+}
+
+.icon-indent-right {
+  background-position: -408px -48px;
+}
+
+.icon-facetime-video {
+  background-position: -432px -48px;
+}
+
+.icon-picture {
+  background-position: -456px -48px;
+}
+
+.icon-pencil {
+  background-position: 0 -72px;
+}
+
+.icon-map-marker {
+  background-position: -24px -72px;
+}
+
+.icon-adjust {
+  background-position: -48px -72px;
+}
+
+.icon-tint {
+  background-position: -72px -72px;
+}
+
+.icon-edit {
+  background-position: -96px -72px;
+}
+
+.icon-share {
+  background-position: -120px -72px;
+}
+
+.icon-check {
+  background-position: -144px -72px;
+}
+
+.icon-move {
+  background-position: -168px -72px;
+}
+
+.icon-step-backward {
+  background-position: -192px -72px;
+}
+
+.icon-fast-backward {
+  background-position: -216px -72px;
+}
+
+.icon-backward {
+  background-position: -240px -72px;
+}
+
+.icon-play {
+  background-position: -264px -72px;
+}
+
+.icon-pause {
+  background-position: -288px -72px;
+}
+
+.icon-stop {
+  background-position: -312px -72px;
+}
+
+.icon-forward {
+  background-position: -336px -72px;
+}
+
+.icon-fast-forward {
+  background-position: -360px -72px;
+}
+
+.icon-step-forward {
+  background-position: -384px -72px;
+}
+
+.icon-eject {
+  background-position: -408px -72px;
+}
+
+.icon-chevron-left {
+  background-position: -432px -72px;
+}
+
+.icon-chevron-right {
+  background-position: -456px -72px;
+}
+
+.icon-plus-sign {
+  background-position: 0 -96px;
+}
+
+.icon-minus-sign {
+  background-position: -24px -96px;
+}
+
+.icon-remove-sign {
+  background-position: -48px -96px;
+}
+
+.icon-ok-sign {
+  background-position: -72px -96px;
+}
+
+.icon-question-sign {
+  background-position: -96px -96px;
+}
+
+.icon-info-sign {
+  background-position: -120px -96px;
+}
+
+.icon-screenshot {
+  background-position: -144px -96px;
+}
+
+.icon-remove-circle {
+  background-position: -168px -96px;
+}
+
+.icon-ok-circle {
+  background-position: -192px -96px;
+}
+
+.icon-ban-circle {
+  background-position: -216px -96px;
+}
+
+.icon-arrow-left {
+  background-position: -240px -96px;
+}
+
+.icon-arrow-right {
+  background-position: -264px -96px;
+}
+
+.icon-arrow-up {
+  background-position: -289px -96px;
+}
+
+.icon-arrow-down {
+  background-position: -312px -96px;
+}
+
+.icon-share-alt {
+  background-position: -336px -96px;
+}
+
+.icon-resize-full {
+  background-position: -360px -96px;
+}
+
+.icon-resize-small {
+  background-position: -384px -96px;
+}
+
+.icon-plus {
+  background-position: -408px -96px;
+}
+
+.icon-minus {
+  background-position: -433px -96px;
+}
+
+.icon-asterisk {
+  background-position: -456px -96px;
+}
+
+.icon-exclamation-sign {
+  background-position: 0 -120px;
+}
+
+.icon-gift {
+  background-position: -24px -120px;
+}
+
+.icon-leaf {
+  background-position: -48px -120px;
+}
+
+.icon-fire {
+  background-position: -72px -120px;
+}
+
+.icon-eye-open {
+  background-position: -96px -120px;
+}
+
+.icon-eye-close {
+  background-position: -120px -120px;
+}
+
+.icon-warning-sign {
+  background-position: -144px -120px;
+}
+
+.icon-plane {
+  background-position: -168px -120px;
+}
+
+.icon-calendar {
+  background-position: -192px -120px;
+}
+
+.icon-random {
+  width: 16px;
+  background-position: -216px -120px;
+}
+
+.icon-comment {
+  background-position: -240px -120px;
+}
+
+.icon-magnet {
+  background-position: -264px -120px;
+}
+
+.icon-chevron-up {
+  background-position: -288px -120px;
+}
+
+.icon-chevron-down {
+  background-position: -313px -119px;
+}
+
+.icon-retweet {
+  background-position: -336px -120px;
+}
+
+.icon-shopping-cart {
+  background-position: -360px -120px;
+}
+
+.icon-folder-close {
+  width: 16px;
+  background-position: -384px -120px;
+}
+
+.icon-folder-open {
+  width: 16px;
+  background-position: -408px -120px;
+}
+
+.icon-resize-vertical {
+  background-position: -432px -119px;
+}
+
+.icon-resize-horizontal {
+  background-position: -456px -118px;
+}
+
+.icon-hdd {
+  background-position: 0 -144px;
+}
+
+.icon-bullhorn {
+  background-position: -24px -144px;
+}
+
+.icon-bell {
+  background-position: -48px -144px;
+}
+
+.icon-certificate {
+  background-position: -72px -144px;
+}
+
+.icon-thumbs-up {
+  background-position: -96px -144px;
+}
+
+.icon-thumbs-down {
+  background-position: -120px -144px;
+}
+
+.icon-hand-right {
+  background-position: -144px -144px;
+}
+
+.icon-hand-left {
+  background-position: -168px -144px;
+}
+
+.icon-hand-up {
+  background-position: -192px -144px;
+}
+
+.icon-hand-down {
+  background-position: -216px -144px;
+}
+
+.icon-circle-arrow-right {
+  background-position: -240px -144px;
+}
+
+.icon-circle-arrow-left {
+  background-position: -264px -144px;
+}
+
+.icon-circle-arrow-up {
+  background-position: -288px -144px;
+}
+
+.icon-circle-arrow-down {
+  background-position: -312px -144px;
+}
+
+.icon-globe {
+  background-position: -336px -144px;
+}
+
+.icon-wrench {
+  background-position: -360px -144px;
+}
+
+.icon-tasks {
+  background-position: -384px -144px;
+}
+
+.icon-filter {
+  background-position: -408px -144px;
+}
+
+.icon-briefcase {
+  background-position: -432px -144px;
+}
+
+.icon-fullscreen {
+  background-position: -456px -144px;
+}
+
+.dropup,
+.dropdown {
+  position: relative;
+}
+
+.dropdown-toggle {
+  *margin-bottom: -3px;
+}
+
+.dropdown-toggle:active,
+.open .dropdown-toggle {
+  outline: 0;
+}
+
+.caret {
+  display: inline-block;
+  width: 0;
+  height: 0;
+  vertical-align: top;
+  border-top: 4px solid #000000;
+  border-right: 4px solid transparent;
+  border-left: 4px solid transparent;
+  content: "";
+}
+
+.dropdown .caret {
+  margin-top: 8px;
+  margin-left: 2px;
+}
+
+.dropdown-menu {
+  position: absolute;
+  top: 100%;
+  left: 0;
+  z-index: 1000;
+  display: none;
+  float: left;
+  min-width: 160px;
+  padding: 5px 0;
+  margin: 2px 0 0;
+  list-style: none;
+  background-color: #ffffff;
+  border: 1px solid #ccc;
+  border: 1px solid rgba(0, 0, 0, 0.2);
+  *border-right-width: 2px;
+  *border-bottom-width: 2px;
+  -webkit-border-radius: 6px;
+     -moz-border-radius: 6px;
+          border-radius: 6px;
+  -webkit-box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);
+     -moz-box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);
+          box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);
+  -webkit-background-clip: padding-box;
+     -moz-background-clip: padding;
+          background-clip: padding-box;
+}
+
+.dropdown-menu.pull-right {
+  right: 0;
+  left: auto;
+}
+
+.dropdown-menu .divider {
+  *width: 100%;
+  height: 1px;
+  margin: 9px 1px;
+  *margin: -5px 0 5px;
+  overflow: hidden;
+  background-color: #e5e5e5;
+  border-bottom: 1px solid #ffffff;
+}
+
+.dropdown-menu > li > a {
+  display: block;
+  padding: 3px 20px;
+  clear: both;
+  font-weight: normal;
+  line-height: 20px;
+  color: #333333;
+  white-space: nowrap;
+}
+
+.dropdown-menu > li > a:hover,
+.dropdown-menu > li > a:focus,
+.dropdown-submenu:hover > a,
+.dropdown-submenu:focus > a {
+  color: #ffffff;
+  text-decoration: none;
+  background-color: #0081c2;
+  background-image: -moz-linear-gradient(top, #0088cc, #0077b3);
+  background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#0088cc), to(#0077b3));
+  background-image: -webkit-linear-gradient(top, #0088cc, #0077b3);
+  background-image: -o-linear-gradient(top, #0088cc, #0077b3);
+  background-image: linear-gradient(to bottom, #0088cc, #0077b3);
+  background-repeat: repeat-x;
+  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff0088cc', endColorstr='#ff0077b3', GradientType=0);
+}
+
+.dropdown-menu > .active > a,
+.dropdown-menu > .active > a:hover,
+.dropdown-menu > .active > a:focus {
+  color: #ffffff;
+  text-decoration: none;
+  background-color: #0081c2;
+  background-image: -moz-linear-gradient(top, #0088cc, #0077b3);
+  background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#0088cc), to(#0077b3));
+  background-image: -webkit-linear-gradient(top, #0088cc, #0077b3);
+  background-image: -o-linear-gradient(top, #0088cc, #0077b3);
+  background-image: linear-gradient(to bottom, #0088cc, #0077b3);
+  background-repeat: repeat-x;
+  outline: 0;
+  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff0088cc', endColorstr='#ff0077b3', GradientType=0);
+}
+
+.dropdown-menu > .disabled > a,
+.dropdown-menu > .disabled > a:hover,
+.dropdown-menu > .disabled > a:focus {
+  color: #999999;
+}
+
+.dropdown-menu > .disabled > a:hover,
+.dropdown-menu > .disabled > a:focus {
+  text-decoration: none;
+  cursor: default;
+  background-color: transparent;
+  background-image: none;
+  filter: progid:DXImageTransform.Microsoft.gradient(enabled=false);
+}
+
+.open {
+  *z-index: 1000;
+}
+
+.open > .dropdown-menu {
+  display: block;
+}
+
+.dropdown-backdrop {
+  position: fixed;
+  top: 0;
+  right: 0;
+  bottom: 0;
+  left: 0;
+  z-index: 990;
+}
+
+.pull-right > .dropdown-menu {
+  right: 0;
+  left: auto;
+}
+
+.dropup .caret,
+.navbar-fixed-bottom .dropdown .caret {
+  border-top: 0;
+  border-bottom: 4px solid #000000;
+  content: "";
+}
+
+.dropup .dropdown-menu,
+.navbar-fixed-bottom .dropdown .dropdown-menu {
+  top: auto;
+  bottom: 100%;
+  margin-bottom: 1px;
+}
+
+.dropdown-submenu {
+  position: relative;
+}
+
+.dropdown-submenu > .dropdown-menu {
+  top: 0;
+  left: 100%;
+  margin-top: -6px;
+  margin-left: -1px;
+  -webkit-border-radius: 0 6px 6px 6px;
+     -moz-border-radius: 0 6px 6px 6px;
+          border-radius: 0 6px 6px 6px;
+}
+
+.dropdown-submenu:hover > .dropdown-menu {
+  display: block;
+}
+
+.dropup .dropdown-submenu > .dropdown-menu {
+  top: auto;
+  bottom: 0;
+  margin-top: 0;
+  margin-bottom: -2px;
+  -webkit-border-radius: 5px 5px 5px 0;
+     -moz-border-radius: 5px 5px 5px 0;
+          border-radius: 5px 5px 5px 0;
+}
+
+.dropdown-submenu > a:after {
+  display: block;
+  float: right;
+  width: 0;
+  height: 0;
+  margin-top: 5px;
+  margin-right: -10px;
+  border-color: transparent;
+  border-left-color: #cccccc;
+  border-style: solid;
+  border-width: 5px 0 5px 5px;
+  content: " ";
+}
+
+.dropdown-submenu:hover > a:after {
+  border-left-color: #ffffff;
+}
+
+.dropdown-submenu.pull-left {
+  float: none;
+}
+
+.dropdown-submenu.pull-left > .dropdown-menu {
+  left: -100%;
+  margin-left: 10px;
+  -webkit-border-radius: 6px 0 6px 6px;
+     -moz-border-radius: 6px 0 6px 6px;
+          border-radius: 6px 0 6px 6px;
+}
+
+.dropdown .dropdown-menu .nav-header {
+  padding-right: 20px;
+  padding-left: 20px;
+}
+
+.typeahead {
+  z-index: 1051;
+  margin-top: 2px;
+  -webkit-border-radius: 4px;
+     -moz-border-radius: 4px;
+          border-radius: 4px;
+}
+
+.well {
+  min-height: 20px;
+  padding: 19px;
+  margin-bottom: 20px;
+  background-color: #f5f5f5;
+  border: 1px solid #e3e3e3;
+  -webkit-border-radius: 4px;
+     -moz-border-radius: 4px;
+          border-radius: 4px;
+  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);
+     -moz-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);
+          box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);
+}
+
+.well blockquote {
+  border-color: #ddd;
+  border-color: rgba(0, 0, 0, 0.15);
+}
+
+.well-large {
+  padding: 24px;
+  -webkit-border-radius: 6px;
+     -moz-border-radius: 6px;
+          border-radius: 6px;
+}
+
+.well-small {
+  padding: 9px;
+  -webkit-border-radius: 3px;
+     -moz-border-radius: 3px;
+          border-radius: 3px;
+}
+
+.fade {
+  opacity: 0;
+  -webkit-transition: opacity 0.15s linear;
+     -moz-transition: opacity 0.15s linear;
+       -o-transition: opacity 0.15s linear;
+          transition: opacity 0.15s linear;
+}
+
+.fade.in {
+  opacity: 1;
+}
+
+.collapse {
+  position: relative;
+  height: 0;
+  overflow: hidden;
+  -webkit-transition: height 0.35s ease;
+     -moz-transition: height 0.35s ease;
+       -o-transition: height 0.35s ease;
+          transition: height 0.35s ease;
+}
+
+.collapse.in {
+  height: auto;
+}
+
+.close {
+  float: right;
+  font-size: 20px;
+  font-weight: bold;
+  line-height: 20px;
+  color: #000000;
+  text-shadow: 0 1px 0 #ffffff;
+  opacity: 0.2;
+  filter: alpha(opacity=20);
+}
+
+.close:hover,
+.close:focus {
+  color: #000000;
+  text-decoration: none;
+  cursor: pointer;
+  opacity: 0.4;
+  filter: alpha(opacity=40);
+}
+
+button.close {
+  padding: 0;
+  cursor: pointer;
+  background: transparent;
+  border: 0;
+  -webkit-appearance: none;
+}
+
+.btn {
+  display: inline-block;
+  *display: inline;
+  padding: 4px 12px;
+  margin-bottom: 0;
+  *margin-left: .3em;
+  font-size: 14px;
+  line-height: 20px;
+  color: #333333;
+  text-align: center;
+  text-shadow: 0 1px 1px rgba(255, 255, 255, 0.75);
+  vertical-align: middle;
+  cursor: pointer;
+  background-color: #f5f5f5;
+  *background-color: #e6e6e6;
+  background-image: -moz-linear-gradient(top, #ffffff, #e6e6e6);
+  background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#ffffff), to(#e6e6e6));
+  background-image: -webkit-linear-gradient(top, #ffffff, #e6e6e6);
+  background-image: -o-linear-gradient(top, #ffffff, #e6e6e6);
+  background-image: linear-gradient(to bottom, #ffffff, #e6e6e6);
+  background-repeat: repeat-x;
+  border: 1px solid #cccccc;
+  *border: 0;
+  border-color: #e6e6e6 #e6e6e6 #bfbfbf;
+  border-color: rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.25);
+  border-bottom-color: #b3b3b3;
+  -webkit-border-radius: 4px;
+     -moz-border-radius: 4px;
+          border-radius: 4px;
+  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffffffff', endColorstr='#ffe6e6e6', GradientType=0);
+  filter: progid:DXImageTransform.Microsoft.gradient(enabled=false);
+  *zoom: 1;
+  -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.2), 0 1px 2px rgba(0, 0, 0, 0.05);
+     -moz-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.2), 0 1px 2px rgba(0, 0, 0, 0.05);
+          box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.2), 0 1px 2px rgba(0, 0, 0, 0.05);
+}
+
+.btn:hover,
+.btn:focus,
+.btn:active,
+.btn.active,
+.btn.disabled,
+.btn[disabled] {
+  color: #333333;
+  background-color: #e6e6e6;
+  *background-color: #d9d9d9;
+}
+
+.btn:active,
+.btn.active {
+  background-color: #cccccc \9;
+}
+
+.btn:first-child {
+  *margin-left: 0;
+}
+
+.btn:hover,
+.btn:focus {
+  color: #333333;
+  text-decoration: none;
+  background-position: 0 -15px;
+  -webkit-transition: background-position 0.1s linear;
+     -moz-transition: background-position 0.1s linear;
+       -o-transition: background-position 0.1s linear;
+          transition: background-position 0.1s linear;
+}
+
+.btn:focus {
+  outline: thin dotted #333;
+  outline: 5px auto -webkit-focus-ring-color;
+  outline-offset: -2px;
+}
+
+.btn.active,
+.btn:active {
+  background-image: none;
+  outline: 0;
+  -webkit-box-shadow: inset 0 2px 4px rgba(0, 0, 0, 0.15), 0 1px 2px rgba(0, 0, 0, 0.05);
+     -moz-box-shadow: inset 0 2px 4px rgba(0, 0, 0, 0.15), 0 1px 2px rgba(0, 0, 0, 0.05);
+          box-shadow: inset 0 2px 4px rgba(0, 0, 0, 0.15), 0 1px 2px rgba(0, 0, 0, 0.05);
+}
+
+.btn.disabled,
+.btn[disabled] {
+  cursor: default;
+  background-image: none;
+  opacity: 0.65;
+  filter: alpha(opacity=65);
+  -webkit-box-shadow: none;
+     -moz-box-shadow: none;
+          box-shadow: none;
+}
+
+.btn-large {
+  padding: 11px 19px;
+  font-size: 17.5px;
+  -webkit-border-radius: 6px;
+     -moz-border-radius: 6px;
+          border-radius: 6px;
+}
+
+.btn-large [class^="icon-"],
+.btn-large [class*=" icon-"] {
+  margin-top: 4px;
+}
+
+.btn-small {
+  padding: 2px 10px;
+  font-size: 11.9px;
+  -webkit-border-radius: 3px;
+     -moz-border-radius: 3px;
+          border-radius: 3px;
+}
+
+.btn-small [class^="icon-"],
+.btn-small [class*=" icon-"] {
+  margin-top: 0;
+}
+
+.btn-mini [class^="icon-"],
+.btn-mini [class*=" icon-"] {
+  margin-top: -1px;
+}
+
+.btn-mini {
+  padding: 0 6px;
+  font-size: 10.5px;
+  -webkit-border-radius: 3px;
+     -moz-border-radius: 3px;
+          border-radius: 3px;
+}
+
+.btn-block {
+  display: block;
+  width: 100%;
+  padding-right: 0;
+  padding-left: 0;
+  -webkit-box-sizing: border-box;
+     -moz-box-sizing: border-box;
+          box-sizing: border-box;
+}
+
+.btn-block + .btn-block {
+  margin-top: 5px;
+}
+
+input[type="submit"].btn-block,
+input[type="reset"].btn-block,
+input[type="button"].btn-block {
+  width: 100%;
+}
+
+.btn-primary.active,
+.btn-warning.active,
+.btn-danger.active,
+.btn-success.active,
+.btn-info.active,
+.btn-inverse.active {
+  color: rgba(255, 255, 255, 0.75);
+}
+
+.btn-primary {
+  color: #ffffff;
+  text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.25);
+  background-color: #006dcc;
+  *background-color: #0044cc;
+  background-image: -moz-linear-gradient(top, #0088cc, #0044cc);
+  background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#0088cc), to(#0044cc));
+  background-image: -webkit-linear-gradient(top, #0088cc, #0044cc);
+  background-image: -o-linear-gradient(top, #0088cc, #0044cc);
+  background-image: linear-gradient(to bottom, #0088cc, #0044cc);
+  background-repeat: repeat-x;
+  border-color: #0044cc #0044cc #002a80;
+  border-color: rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.25);
+  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff0088cc', endColorstr='#ff0044cc', GradientType=0);
+  filter: progid:DXImageTransform.Microsoft.gradient(enabled=false);
+}
+
+.btn-primary:hover,
+.btn-primary:focus,
+.btn-primary:active,
+.btn-primary.active,
+.btn-primary.disabled,
+.btn-primary[disabled] {
+  color: #ffffff;
+  background-color: #0044cc;
+  *background-color: #003bb3;
+}
+
+.btn-primary:active,
+.btn-primary.active {
+  background-color: #003399 \9;
+}
+
+.btn-warning {
+  color: #ffffff;
+  text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.25);
+  background-color: #faa732;
+  *background-color: #f89406;
+  background-image: -moz-linear-gradient(top, #fbb450, #f89406);
+  background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#fbb450), to(#f89406));
+  background-image: -webkit-linear-gradient(top, #fbb450, #f89406);
+  background-image: -o-linear-gradient(top, #fbb450, #f89406);
+  background-image: linear-gradient(to bottom, #fbb450, #f89406);
+  background-repeat: repeat-x;
+  border-color: #f89406 #f89406 #ad6704;
+  border-color: rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.25);
+  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fffbb450', endColorstr='#fff89406', GradientType=0);
+  filter: progid:DXImageTransform.Microsoft.gradient(enabled=false);
+}
+
+.btn-warning:hover,
+.btn-warning:focus,
+.btn-warning:active,
+.btn-warning.active,
+.btn-warning.disabled,
+.btn-warning[disabled] {
+  color: #ffffff;
+  background-color: #f89406;
+  *background-color: #df8505;
+}
+
+.btn-warning:active,
+.btn-warning.active {
+  background-color: #c67605 \9;
+}
+
+.btn-danger {
+  color: #ffffff;
+  text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.25);
+  background-color: #da4f49;
+  *background-color: #bd362f;
+  background-image: -moz-linear-gradient(top, #ee5f5b, #bd362f);
+  background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#ee5f5b), to(#bd362f));
+  background-image: -webkit-linear-gradient(top, #ee5f5b, #bd362f);
+  background-image: -o-linear-gradient(top, #ee5f5b, #bd362f);
+  background-image: linear-gradient(to bottom, #ee5f5b, #bd362f);
+  background-repeat: repeat-x;
+  border-color: #bd362f #bd362f #802420;
+  border-color: rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.25);
+  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffee5f5b', endColorstr='#ffbd362f', GradientType=0);
+  filter: progid:DXImageTransform.Microsoft.gradient(enabled=false);
+}
+
+.btn-danger:hover,
+.btn-danger:focus,
+.btn-danger:active,
+.btn-danger.active,
+.btn-danger.disabled,
+.btn-danger[disabled] {
+  color: #ffffff;
+  background-color: #bd362f;
+  *background-color: #a9302a;
+}
+
+.btn-danger:active,
+.btn-danger.active {
+  background-color: #942a25 \9;
+}
+
+.btn-success {
+  color: #ffffff;
+  text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.25);
+  background-color: #5bb75b;
+  *background-color: #51a351;
+  background-image: -moz-linear-gradient(top, #62c462, #51a351);
+  background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#62c462), to(#51a351));
+  background-image: -webkit-linear-gradient(top, #62c462, #51a351);
+  background-image: -o-linear-gradient(top, #62c462, #51a351);
+  background-image: linear-gradient(to bottom, #62c462, #51a351);
+  background-repeat: repeat-x;
+  border-color: #51a351 #51a351 #387038;
+  border-color: rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.25);
+  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff62c462', endColorstr='#ff51a351', GradientType=0);
+  filter: progid:DXImageTransform.Microsoft.gradient(enabled=false);
+}
+
+.btn-success:hover,
+.btn-success:focus,
+.btn-success:active,
+.btn-success.active,
+.btn-success.disabled,
+.btn-success[disabled] {
+  color: #ffffff;
+  background-color: #51a351;
+  *background-color: #499249;
+}
+
+.btn-success:active,
+.btn-success.active {
+  background-color: #408140 \9;
+}
+
+.btn-info {
+  color: #ffffff;
+  text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.25);
+  background-color: #49afcd;
+  *background-color: #2f96b4;
+  background-image: -moz-linear-gradient(top, #5bc0de, #2f96b4);
+  background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#5bc0de), to(#2f96b4));
+  background-image: -webkit-linear-gradient(top, #5bc0de, #2f96b4);
+  background-image: -o-linear-gradient(top, #5bc0de, #2f96b4);
+  background-image: linear-gradient(to bottom, #5bc0de, #2f96b4);
+  background-repeat: repeat-x;
+  border-color: #2f96b4 #2f96b4 #1f6377;
+  border-color: rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.25);
+  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff5bc0de', endColorstr='#ff2f96b4', GradientType=0);
+  filter: progid:DXImageTransform.Microsoft.gradient(enabled=false);
+}
+
+.btn-info:hover,
+.btn-info:focus,
+.btn-info:active,
+.btn-info.active,
+.btn-info.disabled,
+.btn-info[disabled] {
+  color: #ffffff;
+  background-color: #2f96b4;
+  *background-color: #2a85a0;
+}
+
+.btn-info:active,
+.btn-info.active {
+  background-color: #24748c \9;
+}
+
+.btn-inverse {
+  color: #ffffff;
+  text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.25);
+  background-color: #363636;
+  *background-color: #222222;
+  background-image: -moz-linear-gradient(top, #444444, #222222);
+  background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#444444), to(#222222));
+  background-image: -webkit-linear-gradient(top, #444444, #222222);
+  background-image: -o-linear-gradient(top, #444444, #222222);
+  background-image: linear-gradient(to bottom, #444444, #222222);
+  background-repeat: repeat-x;
+  border-color: #222222 #222222 #000000;
+  border-color: rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.25);
+  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff444444', endColorstr='#ff222222', GradientType=0);
+  filter: progid:DXImageTransform.Microsoft.gradient(enabled=false);
+}
+
+.btn-inverse:hover,
+.btn-inverse:focus,
+.btn-inverse:active,
+.btn-inverse.active,
+.btn-inverse.disabled,
+.btn-inverse[disabled] {
+  color: #ffffff;
+  background-color: #222222;
+  *background-color: #151515;
+}
+
+.btn-inverse:active,
+.btn-inverse.active {
+  background-color: #080808 \9;
+}
+
+button.btn,
+input[type="submit"].btn {
+  *padding-top: 3px;
+  *padding-bottom: 3px;
+}
+
+button.btn::-moz-focus-inner,
+input[type="submit"].btn::-moz-focus-inner {
+  padding: 0;
+  border: 0;
+}
+
+button.btn.btn-large,
+input[type="submit"].btn.btn-large {
+  *padding-top: 7px;
+  *padding-bottom: 7px;
+}
+
+button.btn.btn-small,
+input[type="submit"].btn.btn-small {
+  *padding-top: 3px;
+  *padding-bottom: 3px;
+}
+
+button.btn.btn-mini,
+input[type="submit"].btn.btn-mini {
+  *padding-top: 1px;
+  *padding-bottom: 1px;
+}
+
+.btn-link,
+.btn-link:active,
+.btn-link[disabled] {
+  background-color: transparent;
+  background-image: none;
+  -webkit-box-shadow: none;
+     -moz-box-shadow: none;
+          box-shadow: none;
+}
+
+.btn-link {
+  color: #0088cc;
+  cursor: pointer;
+  border-color: transparent;
+  -webkit-border-radius: 0;
+     -moz-border-radius: 0;
+          border-radius: 0;
+}
+
+.btn-link:hover,
+.btn-link:focus {
+  color: #005580;
+  text-decoration: underline;
+  background-color: transparent;
+}
+
+.btn-link[disabled]:hover,
+.btn-link[disabled]:focus {
+  color: #333333;
+  text-decoration: none;
+}
+
+.btn-group {
+  position: relative;
+  display: inline-block;
+  *display: inline;
+  *margin-left: .3em;
+  font-size: 0;
+  white-space: nowrap;
+  vertical-align: middle;
+  *zoom: 1;
+}
+
+.btn-group:first-child {
+  *margin-left: 0;
+}
+
+.btn-group + .btn-group {
+  margin-left: 5px;
+}
+
+.btn-toolbar {
+  margin-top: 10px;
+  margin-bottom: 10px;
+  font-size: 0;
+}
+
+.btn-toolbar > .btn + .btn,
+.btn-toolbar > .btn-group + .btn,
+.btn-toolbar > .btn + .btn-group {
+  margin-left: 5px;
+}
+
+.btn-group > .btn {
+  position: relative;
+  -webkit-border-radius: 0;
+     -moz-border-radius: 0;
+          border-radius: 0;
+}
+
+.btn-group > .btn + .btn {
+  margin-left: -1px;
+}
+
+.btn-group > .btn,
+.btn-group > .dropdown-menu,
+.btn-group > .popover {
+  font-size: 14px;
+}
+
+.btn-group > .btn-mini {
+  font-size: 10.5px;
+}
+
+.btn-group > .btn-small {
+  font-size: 11.9px;
+}
+
+.btn-group > .btn-large {
+  font-size: 17.5px;
+}
+
+.btn-group > .btn:first-child {
+  margin-left: 0;
+  -webkit-border-bottom-left-radius: 4px;
+          border-bottom-left-radius: 4px;
+  -webkit-border-top-left-radius: 4px;
+          border-top-left-radius: 4px;
+  -moz-border-radius-bottomleft: 4px;
+  -moz-border-radius-topleft: 4px;
+}
+
+.btn-group > .btn:last-child,
+.btn-group > .dropdown-toggle {
+  -webkit-border-top-right-radius: 4px;
+          border-top-right-radius: 4px;
+  -webkit-border-bottom-right-radius: 4px;
+          border-bottom-right-radius: 4px;
+  -moz-border-radius-topright: 4px;
+  -moz-border-radius-bottomright: 4px;
+}
+
+.btn-group > .btn.large:first-child {
+  margin-left: 0;
+  -webkit-border-bottom-left-radius: 6px;
+          border-bottom-left-radius: 6px;
+  -webkit-border-top-left-radius: 6px;
+          border-top-left-radius: 6px;
+  -moz-border-radius-bottomleft: 6px;
+  -moz-border-radius-topleft: 6px;
+}
+
+.btn-group > .btn.large:last-child,
+.btn-group > .large.dropdown-toggle {
+  -webkit-border-top-right-radius: 6px;
+          border-top-right-radius: 6px;
+  -webkit-border-bottom-right-radius: 6px;
+          border-bottom-right-radius: 6px;
+  -moz-border-radius-topright: 6px;
+  -moz-border-radius-bottomright: 6px;
+}
+
+.btn-group > .btn:hover,
+.btn-group > .btn:focus,
+.btn-group > .btn:active,
+.btn-group > .btn.active {
+  z-index: 2;
+}
+
+.btn-group .dropdown-toggle:active,
+.btn-group.open .dropdown-toggle {
+  outline: 0;
+}
+
+.btn-group > .btn + .dropdown-toggle {
+  *padding-top: 5px;
+  padding-right: 8px;
+  *padding-bottom: 5px;
+  padding-left: 8px;
+  -webkit-box-shadow: inset 1px 0 0 rgba(255, 255, 255, 0.125), inset 0 1px 0 rgba(255, 255, 255, 0.2), 0 1px 2px rgba(0, 0, 0, 0.05);
+     -moz-box-shadow: inset 1px 0 0 rgba(255, 255, 255, 0.125), inset 0 1px 0 rgba(255, 255, 255, 0.2), 0 1px 2px rgba(0, 0, 0, 0.05);
+          box-shadow: inset 1px 0 0 rgba(255, 255, 255, 0.125), inset 0 1px 0 rgba(255, 255, 255, 0.2), 0 1px 2px rgba(0, 0, 0, 0.05);
+}
+
+.btn-group > .btn-mini + .dropdown-toggle {
+  *padding-top: 2px;
+  padding-right: 5px;
+  *padding-bottom: 2px;
+  padding-left: 5px;
+}
+
+.btn-group > .btn-small + .dropdown-toggle {
+  *padding-top: 5px;
+  *padding-bottom: 4px;
+}
+
+.btn-group > .btn-large + .dropdown-toggle {
+  *padding-top: 7px;
+  padding-right: 12px;
+  *padding-bottom: 7px;
+  padding-left: 12px;
+}
+
+.btn-group.open .dropdown-toggle {
+  background-image: none;
+  -webkit-box-shadow: inset 0 2px 4px rgba(0, 0, 0, 0.15), 0 1px 2px rgba(0, 0, 0, 0.05);
+     -moz-box-shadow: inset 0 2px 4px rgba(0, 0, 0, 0.15), 0 1px 2px rgba(0, 0, 0, 0.05);
+          box-shadow: inset 0 2px 4px rgba(0, 0, 0, 0.15), 0 1px 2px rgba(0, 0, 0, 0.05);
+}
+
+.btn-group.open .btn.dropdown-toggle {
+  background-color: #e6e6e6;
+}
+
+.btn-group.open .btn-primary.dropdown-toggle {
+  background-color: #0044cc;
+}
+
+.btn-group.open .btn-warning.dropdown-toggle {
+  background-color: #f89406;
+}
+
+.btn-group.open .btn-danger.dropdown-toggle {
+  background-color: #bd362f;
+}
+
+.btn-group.open .btn-success.dropdown-toggle {
+  background-color: #51a351;
+}
+
+.btn-group.open .btn-info.dropdown-toggle {
+  background-color: #2f96b4;
+}
+
+.btn-group.open .btn-inverse.dropdown-toggle {
+  background-color: #222222;
+}
+
+.btn .caret {
+  margin-top: 8px;
+  margin-left: 0;
+}
+
+.btn-large .caret {
+  margin-top: 6px;
+}
+
+.btn-large .caret {
+  border-top-width: 5px;
+  border-right-width: 5px;
+  border-left-width: 5px;
+}
+
+.btn-mini .caret,
+.btn-small .caret {
+  margin-top: 8px;
+}
+
+.dropup .btn-large .caret {
+  border-bottom-width: 5px;
+}
+
+.btn-primary .caret,
+.btn-warning .caret,
+.btn-danger .caret,
+.btn-info .caret,
+.btn-success .caret,
+.btn-inverse .caret {
+  border-top-color: #ffffff;
+  border-bottom-color: #ffffff;
+}
+
+.btn-group-vertical {
+  display: inline-block;
+  *display: inline;
+  /* IE7 inline-block hack */
+
+  *zoom: 1;
+}
+
+.btn-group-vertical > .btn {
+  display: block;
+  float: none;
+  max-width: 100%;
+  -webkit-border-radius: 0;
+     -moz-border-radius: 0;
+          border-radius: 0;
+}
+
+.btn-group-vertical > .btn + .btn {
+  margin-top: -1px;
+  margin-left: 0;
+}
+
+.btn-group-vertical > .btn:first-child {
+  -webkit-border-radius: 4px 4px 0 0;
+     -moz-border-radius: 4px 4px 0 0;
+          border-radius: 4px 4px 0 0;
+}
+
+.btn-group-vertical > .btn:last-child {
+  -webkit-border-radius: 0 0 4px 4px;
+     -moz-border-radius: 0 0 4px 4px;
+          border-radius: 0 0 4px 4px;
+}
+
+.btn-group-vertical > .btn-large:first-child {
+  -webkit-border-radius: 6px 6px 0 0;
+     -moz-border-radius: 6px 6px 0 0;
+          border-radius: 6px 6px 0 0;
+}
+
+.btn-group-vertical > .btn-large:last-child {
+  -webkit-border-radius: 0 0 6px 6px;
+     -moz-border-radius: 0 0 6px 6px;
+          border-radius: 0 0 6px 6px;
+}
+
+.alert {
+  padding: 8px 35px 8px 14px;
+  margin-bottom: 20px;
+  text-shadow: 0 1px 0 rgba(255, 255, 255, 0.5);
+  background-color: #fcf8e3;
+  border: 1px solid #fbeed5;
+  -webkit-border-radius: 4px;
+     -moz-border-radius: 4px;
+          border-radius: 4px;
+}
+
+.alert,
+.alert h4 {
+  color: #c09853;
+}
+
+.alert h4 {
+  margin: 0;
+}
+
+.alert .close {
+  position: relative;
+  top: -2px;
+  right: -21px;
+  line-height: 20px;
+}
+
+.alert-success {
+  color: #468847;
+  background-color: #dff0d8;
+  border-color: #d6e9c6;
+}
+
+.alert-success h4 {
+  color: #468847;
+}
+
+.alert-danger,
+.alert-error {
+  color: #b94a48;
+  background-color: #f2dede;
+  border-color: #eed3d7;
+}
+
+.alert-danger h4,
+.alert-error h4 {
+  color: #b94a48;
+}
+
+.alert-info {
+  color: #3a87ad;
+  background-color: #d9edf7;
+  border-color: #bce8f1;
+}
+
+.alert-info h4 {
+  color: #3a87ad;
+}
+
+.alert-block {
+  padding-top: 14px;
+  padding-bottom: 14px;
+}
+
+.alert-block > p,
+.alert-block > ul {
+  margin-bottom: 0;
+}
+
+.alert-block p + p {
+  margin-top: 5px;
+}
+
+.nav {
+  margin-bottom: 20px;
+  margin-left: 0;
+  list-style: none;
+}
+
+.nav > li > a {
+  display: block;
+}
+
+.nav > li > a:hover,
+.nav > li > a:focus {
+  text-decoration: none;
+  background-color: #eeeeee;
+}
+
+.nav > li > a > img {
+  max-width: none;
+}
+
+.nav > .pull-right {
+  float: right;
+}
+
+.nav-header {
+  display: block;
+  padding: 3px 15px;
+  font-size: 11px;
+  font-weight: bold;
+  line-height: 20px;
+  color: #999999;
+  text-shadow: 0 1px 0 rgba(255, 255, 255, 0.5);
+  text-transform: uppercase;
+}
+
+.nav li + .nav-header {
+  margin-top: 9px;
+}
+
+.nav-list {
+  padding-right: 15px;
+  padding-left: 15px;
+  margin-bottom: 0;
+}
+
+.nav-list > li > a,
+.nav-list .nav-header {
+  margin-right: -15px;
+  margin-left: -15px;
+  text-shadow: 0 1px 0 rgba(255, 255, 255, 0.5);
+}
+
+.nav-list > li > a {
+  padding: 3px 15px;
+}
+
+.nav-list > .active > a,
+.nav-list > .active > a:hover,
+.nav-list > .active > a:focus {
+  color: #ffffff;
+  text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.2);
+  background-color: #0088cc;
+}
+
+.nav-list [class^="icon-"],
+.nav-list [class*=" icon-"] {
+  margin-right: 2px;
+}
+
+.nav-list .divider {
+  *width: 100%;
+  height: 1px;
+  margin: 9px 1px;
+  *margin: -5px 0 5px;
+  overflow: hidden;
+  background-color: #e5e5e5;
+  border-bottom: 1px solid #ffffff;
+}
+
+.nav-tabs,
+.nav-pills {
+  *zoom: 1;
+}
+
+.nav-tabs:before,
+.nav-pills:before,
+.nav-tabs:after,
+.nav-pills:after {
+  display: table;
+  line-height: 0;
+  content: "";
+}
+
+.nav-tabs:after,
+.nav-pills:after {
+  clear: both;
+}
+
+.nav-tabs > li,
+.nav-pills > li {
+  float: left;
+}
+
+.nav-tabs > li > a,
+.nav-pills > li > a {
+  padding-right: 12px;
+  padding-left: 12px;
+  margin-right: 2px;
+  line-height: 14px;
+}
+
+.nav-tabs {
+  border-bottom: 1px solid #ddd;
+}
+
+.nav-tabs > li {
+  margin-bottom: -1px;
+}
+
+.nav-tabs > li > a {
+  padding-top: 8px;
+  padding-bottom: 8px;
+  line-height: 20px;
+  border: 1px solid transparent;
+  -webkit-border-radius: 4px 4px 0 0;
+     -moz-border-radius: 4px 4px 0 0;
+          border-radius: 4px 4px 0 0;
+}
+
+.nav-tabs > li > a:hover,
+.nav-tabs > li > a:focus {
+  border-color: #eeeeee #eeeeee #dddddd;
+}
+
+.nav-tabs > .active > a,
+.nav-tabs > .active > a:hover,
+.nav-tabs > .active > a:focus {
+  color: #555555;
+  cursor: default;
+  background-color: #ffffff;
+  border: 1px solid #ddd;
+  border-bottom-color: transparent;
+}
+
+.nav-pills > li > a {
+  padding-top: 8px;
+  padding-bottom: 8px;
+  margin-top: 2px;
+  margin-bottom: 2px;
+  -webkit-border-radius: 5px;
+     -moz-border-radius: 5px;
+          border-radius: 5px;
+}
+
+.nav-pills > .active > a,
+.nav-pills > .active > a:hover,
+.nav-pills > .active > a:focus {
+  color: #ffffff;
+  background-color: #0088cc;
+}
+
+.nav-stacked > li {
+  float: none;
+}
+
+.nav-stacked > li > a {
+  margin-right: 0;
+}
+
+.nav-tabs.nav-stacked {
+  border-bottom: 0;
+}
+
+.nav-tabs.nav-stacked > li > a {
+  border: 1px solid #ddd;
+  -webkit-border-radius: 0;
+     -moz-border-radius: 0;
+          border-radius: 0;
+}
+
+.nav-tabs.nav-stacked > li:first-child > a {
+  -webkit-border-top-right-radius: 4px;
+          border-top-right-radius: 4px;
+  -webkit-border-top-left-radius: 4px;
+          border-top-left-radius: 4px;
+  -moz-border-radius-topright: 4px;
+  -moz-border-radius-topleft: 4px;
+}
+
+.nav-tabs.nav-stacked > li:last-child > a {
+  -webkit-border-bottom-right-radius: 4px;
+          border-bottom-right-radius: 4px;
+  -webkit-border-bottom-left-radius: 4px;
+          border-bottom-left-radius: 4px;
+  -moz-border-radius-bottomright: 4px;
+  -moz-border-radius-bottomleft: 4px;
+}
+
+.nav-tabs.nav-stacked > li > a:hover,
+.nav-tabs.nav-stacked > li > a:focus {
+  z-index: 2;
+  border-color: #ddd;
+}
+
+.nav-pills.nav-stacked > li > a {
+  margin-bottom: 3px;
+}
+
+.nav-pills.nav-stacked > li:last-child > a {
+  margin-bottom: 1px;
+}
+
+.nav-tabs .dropdown-menu {
+  -webkit-border-radius: 0 0 6px 6px;
+     -moz-border-radius: 0 0 6px 6px;
+          border-radius: 0 0 6px 6px;
+}
+
+.nav-pills .dropdown-menu {
+  -webkit-border-radius: 6px;
+     -moz-border-radius: 6px;
+          border-radius: 6px;
+}
+
+.nav .dropdown-toggle .caret {
+  margin-top: 6px;
+  border-top-color: #0088cc;
+  border-bottom-color: #0088cc;
+}
+
+.nav .dropdown-toggle:hover .caret,
+.nav .dropdown-toggle:focus .caret {
+  border-top-color: #005580;
+  border-bottom-color: #005580;
+}
+
+/* move down carets for tabs */
+
+.nav-tabs .dropdown-toggle .caret {
+  margin-top: 8px;
+}
+
+.nav .active .dropdown-toggle .caret {
+  border-top-color: #fff;
+  border-bottom-color: #fff;
+}
+
+.nav-tabs .active .dropdown-toggle .caret {
+  border-top-color: #555555;
+  border-bottom-color: #555555;
+}
+
+.nav > .dropdown.active > a:hover,
+.nav > .dropdown.active > a:focus {
+  cursor: pointer;
+}
+
+.nav-tabs .open .dropdown-toggle,
+.nav-pills .open .dropdown-toggle,
+.nav > li.dropdown.open.active > a:hover,
+.nav > li.dropdown.open.active > a:focus {
+  color: #ffffff;
+  background-color: #999999;
+  border-color: #999999;
+}
+
+.nav li.dropdown.open .caret,
+.nav li.dropdown.open.active .caret,
+.nav li.dropdown.open a:hover .caret,
+.nav li.dropdown.open a:focus .caret {
+  border-top-color: #ffffff;
+  border-bottom-color: #ffffff;
+  opacity: 1;
+  filter: alpha(opacity=100);
+}
+
+.tabs-stacked .open > a:hover,
+.tabs-stacked .open > a:focus {
+  border-color: #999999;
+}
+
+.tabbable {
+  *zoom: 1;
+}
+
+.tabbable:before,
+.tabbable:after {
+  display: table;
+  line-height: 0;
+  content: "";
+}
+
+.tabbable:after {
+  clear: both;
+}
+
+.tab-content {
+  overflow: auto;
+}
+
+.tabs-below > .nav-tabs,
+.tabs-right > .nav-tabs,
+.tabs-left > .nav-tabs {
+  border-bottom: 0;
+}
+
+.tab-content > .tab-pane,
+.pill-content > .pill-pane {
+  display: none;
+}
+
+.tab-content > .active,
+.pill-content > .active {
+  display: block;
+}
+
+.tabs-below > .nav-tabs {
+  border-top: 1px solid #ddd;
+}
+
+.tabs-below > .nav-tabs > li {
+  margin-top: -1px;
+  margin-bottom: 0;
+}
+
+.tabs-below > .nav-tabs > li > a {
+  -webkit-border-radius: 0 0 4px 4px;
+     -moz-border-radius: 0 0 4px 4px;
+          border-radius: 0 0 4px 4px;
+}
+
+.tabs-below > .nav-tabs > li > a:hover,
+.tabs-below > .nav-tabs > li > a:focus {
+  border-top-color: #ddd;
+  border-bottom-color: transparent;
+}
+
+.tabs-below > .nav-tabs > .active > a,
+.tabs-below > .nav-tabs > .active > a:hover,
+.tabs-below > .nav-tabs > .active > a:focus {
+  border-color: transparent #ddd #ddd #ddd;
+}
+
+.tabs-left > .nav-tabs > li,
+.tabs-right > .nav-tabs > li {
+  float: none;
+}
+
+.tabs-left > .nav-tabs > li > a,
+.tabs-right > .nav-tabs > li > a {
+  min-width: 74px;
+  margin-right: 0;
+  margin-bottom: 3px;
+}
+
+.tabs-left > .nav-tabs {
+  float: left;
+  margin-right: 19px;
+  border-right: 1px solid #ddd;
+}
+
+.tabs-left > .nav-tabs > li > a {
+  margin-right: -1px;
+  -webkit-border-radius: 4px 0 0 4px;
+     -moz-border-radius: 4px 0 0 4px;
+          border-radius: 4px 0 0 4px;
+}
+
+.tabs-left > .nav-tabs > li > a:hover,
+.tabs-left > .nav-tabs > li > a:focus {
+  border-color: #eeeeee #dddddd #eeeeee #eeeeee;
+}
+
+.tabs-left > .nav-tabs .active > a,
+.tabs-left > .nav-tabs .active > a:hover,
+.tabs-left > .nav-tabs .active > a:focus {
+  border-color: #ddd transparent #ddd #ddd;
+  *border-right-color: #ffffff;
+}
+
+.tabs-right > .nav-tabs {
+  float: right;
+  margin-left: 19px;
+  border-left: 1px solid #ddd;
+}
+
+.tabs-right > .nav-tabs > li > a {
+  margin-left: -1px;
+  -webkit-border-radius: 0 4px 4px 0;
+     -moz-border-radius: 0 4px 4px 0;
+          border-radius: 0 4px 4px 0;
+}
+
+.tabs-right > .nav-tabs > li > a:hover,
+.tabs-right > .nav-tabs > li > a:focus {
+  border-color: #eeeeee #eeeeee #eeeeee #dddddd;
+}
+
+.tabs-right > .nav-tabs .active > a,
+.tabs-right > .nav-tabs .active > a:hover,
+.tabs-right > .nav-tabs .active > a:focus {
+  border-color: #ddd #ddd #ddd transparent;
+  *border-left-color: #ffffff;
+}
+
+.nav > .disabled > a {
+  color: #999999;
+}
+
+.nav > .disabled > a:hover,
+.nav > .disabled > a:focus {
+  text-decoration: none;
+  cursor: default;
+  background-color: transparent;
+}
+
+.navbar {
+  *position: relative;
+  *z-index: 2;
+  margin-bottom: 20px;
+  overflow: visible;
+}
+
+.navbar-inner {
+  min-height: 40px;
+  padding-right: 20px;
+  padding-left: 20px;
+  background-color: #fafafa;
+  background-image: -moz-linear-gradient(top, #ffffff, #f2f2f2);
+  background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#ffffff), to(#f2f2f2));
+  background-image: -webkit-linear-gradient(top, #ffffff, #f2f2f2);
+  background-image: -o-linear-gradient(top, #ffffff, #f2f2f2);
+  background-image: linear-gradient(to bottom, #ffffff, #f2f2f2);
+  background-repeat: repeat-x;
+  border: 1px solid #d4d4d4;
+  -webkit-border-radius: 4px;
+     -moz-border-radius: 4px;
+          border-radius: 4px;
+  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffffffff', endColorstr='#fff2f2f2', GradientType=0);
+  *zoom: 1;
+  -webkit-box-shadow: 0 1px 4px rgba(0, 0, 0, 0.065);
+     -moz-box-shadow: 0 1px 4px rgba(0, 0, 0, 0.065);
+          box-shadow: 0 1px 4px rgba(0, 0, 0, 0.065);
+}
+
+.navbar-inner:before,
+.navbar-inner:after {
+  display: table;
+  line-height: 0;
+  content: "";
+}
+
+.navbar-inner:after {
+  clear: both;
+}
+
+.navbar .container {
+  width: auto;
+}
+
+.nav-collapse.collapse {
+  height: auto;
+  overflow: visible;
+}
+
+.navbar .brand {
+  display: block;
+  float: left;
+  padding: 10px 20px 10px;
+  margin-left: -20px;
+  font-size: 20px;
+  font-weight: 200;
+  color: #777777;
+  text-shadow: 0 1px 0 #ffffff;
+}
+
+.navbar .brand:hover,
+.navbar .brand:focus {
+  text-decoration: none;
+}
+
+.navbar-text {
+  margin-bottom: 0;
+  line-height: 40px;
+  color: #777777;
+}
+
+.navbar-link {
+  color: #777777;
+}
+
+.navbar-link:hover,
+.navbar-link:focus {
+  color: #333333;
+}
+
+.navbar .divider-vertical {
+  height: 40px;
+  margin: 0 9px;
+  border-right: 1px solid #ffffff;
+  border-left: 1px solid #f2f2f2;
+}
+
+.navbar .btn,
+.navbar .btn-group {
+  margin-top: 5px;
+}
+
+.navbar .btn-group .btn,
+.navbar .input-prepend .btn,
+.navbar .input-append .btn,
+.navbar .input-prepend .btn-group,
+.navbar .input-append .btn-group {
+  margin-top: 0;
+}
+
+.navbar-form {
+  margin-bottom: 0;
+  *zoom: 1;
+}
+
+.navbar-form:before,
+.navbar-form:after {
+  display: table;
+  line-height: 0;
+  content: "";
+}
+
+.navbar-form:after {
+  clear: both;
+}
+
+.navbar-form input,
+.navbar-form select,
+.navbar-form .radio,
+.navbar-form .checkbox {
+  margin-top: 5px;
+}
+
+.navbar-form input,
+.navbar-form select,
+.navbar-form .btn {
+  display: inline-block;
+  margin-bottom: 0;
+}
+
+.navbar-form input[type="image"],
+.navbar-form input[type="checkbox"],
+.navbar-form input[type="radio"] {
+  margin-top: 3px;
+}
+
+.navbar-form .input-append,
+.navbar-form .input-prepend {
+  margin-top: 5px;
+  white-space: nowrap;
+}
+
+.navbar-form .input-append input,
+.navbar-form .input-prepend input {
+  margin-top: 0;
+}
+
+.navbar-search {
+  position: relative;
+  float: left;
+  margin-top: 5px;
+  margin-bottom: 0;
+}
+
+.navbar-search .search-query {
+  padding: 4px 14px;
+  margin-bottom: 0;
+  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
+  font-size: 13px;
+  font-weight: normal;
+  line-height: 1;
+  -webkit-border-radius: 15px;
+     -moz-border-radius: 15px;
+          border-radius: 15px;
+}
+
+.navbar-static-top {
+  position: static;
+  margin-bottom: 0;
+}
+
+.navbar-static-top .navbar-inner {
+  -webkit-border-radius: 0;
+     -moz-border-radius: 0;
+          border-radius: 0;
+}
+
+.navbar-fixed-top,
+.navbar-fixed-bottom {
+  position: fixed;
+  right: 0;
+  left: 0;
+  z-index: 1030;
+  margin-bottom: 0;
+}
+
+.navbar-fixed-top .navbar-inner,
+.navbar-static-top .navbar-inner {
+  border-width: 0 0 1px;
+}
+
+.navbar-fixed-bottom .navbar-inner {
+  border-width: 1px 0 0;
+}
+
+.navbar-fixed-top .navbar-inner,
+.navbar-fixed-bottom .navbar-inner {
+  padding-right: 0;
+  padding-left: 0;
+  -webkit-border-radius: 0;
+     -moz-border-radius: 0;
+          border-radius: 0;
+}
+
+.navbar-static-top .container,
+.navbar-fixed-top .container,
+.navbar-fixed-bottom .container {
+  width: 940px;
+}
+
+.navbar-fixed-top {
+  top: 0;
+}
+
+.navbar-fixed-top .navbar-inner,
+.navbar-static-top .navbar-inner {
+  -webkit-box-shadow: 0 1px 10px rgba(0, 0, 0, 0.1);
+     -moz-box-shadow: 0 1px 10px rgba(0, 0, 0, 0.1);
+          box-shadow: 0 1px 10px rgba(0, 0, 0, 0.1);
+}
+
+.navbar-fixed-bottom {
+  bottom: 0;
+}
+
+.navbar-fixed-bottom .navbar-inner {
+  -webkit-box-shadow: 0 -1px 10px rgba(0, 0, 0, 0.1);
+     -moz-box-shadow: 0 -1px 10px rgba(0, 0, 0, 0.1);
+          box-shadow: 0 -1px 10px rgba(0, 0, 0, 0.1);
+}
+
+.navbar .nav {
+  position: relative;
+  left: 0;
+  display: block;
+  float: left;
+  margin: 0 10px 0 0;
+}
+
+.navbar .nav.pull-right {
+  float: right;
+  margin-right: 0;
+}
+
+.navbar .nav > li {
+  float: left;
+}
+
+.navbar .nav > li > a {
+  float: none;
+  padding: 10px 15px 10px;
+  color: #777777;
+  text-decoration: none;
+  text-shadow: 0 1px 0 #ffffff;
+}
+
+.navbar .nav .dropdown-toggle .caret {
+  margin-top: 8px;
+}
+
+.navbar .nav > li > a:focus,
+.navbar .nav > li > a:hover {
+  color: #333333;
+  text-decoration: none;
+  background-color: transparent;
+}
+
+.navbar .nav > .active > a,
+.navbar .nav > .active > a:hover,
+.navbar .nav > .active > a:focus {
+  color: #555555;
+  text-decoration: none;
+  background-color: #e5e5e5;
+  -webkit-box-shadow: inset 0 3px 8px rgba(0, 0, 0, 0.125);
+     -moz-box-shadow: inset 0 3px 8px rgba(0, 0, 0, 0.125);
+          box-shadow: inset 0 3px 8px rgba(0, 0, 0, 0.125);
+}
+
+.navbar .btn-navbar {
+  display: none;
+  float: right;
+  padding: 7px 10px;
+  margin-right: 5px;
+  margin-left: 5px;
+  color: #ffffff;
+  text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.25);
+  background-color: #ededed;
+  *background-color: #e5e5e5;
+  background-image: -moz-linear-gradient(top, #f2f2f2, #e5e5e5);
+  background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#f2f2f2), to(#e5e5e5));
+  background-image: -webkit-linear-gradient(top, #f2f2f2, #e5e5e5);
+  background-image: -o-linear-gradient(top, #f2f2f2, #e5e5e5);
+  background-image: linear-gradient(to bottom, #f2f2f2, #e5e5e5);
+  background-repeat: repeat-x;
+  border-color: #e5e5e5 #e5e5e5 #bfbfbf;
+  border-color: rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.25);
+  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff2f2f2', endColorstr='#ffe5e5e5', GradientType=0);
+  filter: progid:DXImageTransform.Microsoft.gradient(enabled=false);
+  -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.075);
+     -moz-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.075);
+          box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.075);
+}
+
+.navbar .btn-navbar:hover,
+.navbar .btn-navbar:focus,
+.navbar .btn-navbar:active,
+.navbar .btn-navbar.active,
+.navbar .btn-navbar.disabled,
+.navbar .btn-navbar[disabled] {
+  color: #ffffff;
+  background-color: #e5e5e5;
+  *background-color: #d9d9d9;
+}
+
+.navbar .btn-navbar:active,
+.navbar .btn-navbar.active {
+  background-color: #cccccc \9;
+}
+
+.navbar .btn-navbar .icon-bar {
+  display: block;
+  width: 18px;
+  height: 2px;
+  background-color: #f5f5f5;
+  -webkit-border-radius: 1px;
+     -moz-border-radius: 1px;
+          border-radius: 1px;
+  -webkit-box-shadow: 0 1px 0 rgba(0, 0, 0, 0.25);
+     -moz-box-shadow: 0 1px 0 rgba(0, 0, 0, 0.25);
+          box-shadow: 0 1px 0 rgba(0, 0, 0, 0.25);
+}
+
+.btn-navbar .icon-bar + .icon-bar {
+  margin-top: 3px;
+}
+
+.navbar .nav > li > .dropdown-menu:before {
+  position: absolute;
+  top: -7px;
+  left: 9px;
+  display: inline-block;
+  border-right: 7px solid transparent;
+  border-bottom: 7px solid #ccc;
+  border-left: 7px solid transparent;
+  border-bottom-color: rgba(0, 0, 0, 0.2);
+  content: '';
+}
+
+.navbar .nav > li > .dropdown-menu:after {
+  position: absolute;
+  top: -6px;
+  left: 10px;
+  display: inline-block;
+  border-right: 6px solid transparent;
+  border-bottom: 6px solid #ffffff;
+  border-left: 6px solid transparent;
+  content: '';
+}
+
+.navbar-fixed-bottom .nav > li > .dropdown-menu:before {
+  top: auto;
+  bottom: -7px;
+  border-top: 7px solid #ccc;
+  border-bottom: 0;
+  border-top-color: rgba(0, 0, 0, 0.2);
+}
+
+.navbar-fixed-bottom .nav > li > .dropdown-menu:after {
+  top: auto;
+  bottom: -6px;
+  border-top: 6px solid #ffffff;
+  border-bottom: 0;
+}
+
+.navbar .nav li.dropdown > a:hover .caret,
+.navbar .nav li.dropdown > a:focus .caret {
+  border-top-color: #333333;
+  border-bottom-color: #333333;
+}
+
+.navbar .nav li.dropdown.open > .dropdown-toggle,
+.navbar .nav li.dropdown.active > .dropdown-toggle,
+.navbar .nav li.dropdown.open.active > .dropdown-toggle {
+  color: #555555;
+  background-color: #e5e5e5;
+}
+
+.navbar .nav li.dropdown > .dropdown-toggle .caret {
+  border-top-color: #777777;
+  border-bottom-color: #777777;
+}
+
+.navbar .nav li.dropdown.open > .dropdown-toggle .caret,
+.navbar .nav li.dropdown.active > .dropdown-toggle .caret,
+.navbar .nav li.dropdown.open.active > .dropdown-toggle .caret {
+  border-top-color: #555555;
+  border-bottom-color: #555555;
+}
+
+.navbar .pull-right > li > .dropdown-menu,
+.navbar .nav > li > .dropdown-menu.pull-right {
+  right: 0;
+  left: auto;
+}
+
+.navbar .pull-right > li > .dropdown-menu:before,
+.navbar .nav > li > .dropdown-menu.pull-right:before {
+  right: 12px;
+  left: auto;
+}
+
+.navbar .pull-right > li > .dropdown-menu:after,
+.navbar .nav > li > .dropdown-menu.pull-right:after {
+  right: 13px;
+  left: auto;
+}
+
+.navbar .pull-right > li > .dropdown-menu .dropdown-menu,
+.navbar .nav > li > .dropdown-menu.pull-right .dropdown-menu {
+  right: 100%;
+  left: auto;
+  margin-right: -1px;
+  margin-left: 0;
+  -webkit-border-radius: 6px 0 6px 6px;
+     -moz-border-radius: 6px 0 6px 6px;
+          border-radius: 6px 0 6px 6px;
+}
+
+.navbar-inverse .navbar-inner {
+  background-color: #1b1b1b;
+  background-image: -moz-linear-gradient(top, #222222, #111111);
+  background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#222222), to(#111111));
+  background-image: -webkit-linear-gradient(top, #222222, #111111);
+  background-image: -o-linear-gradient(top, #222222, #111111);
+  background-image: linear-gradient(to bottom, #222222, #111111);
+  background-repeat: repeat-x;
+  border-color: #252525;
+  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff222222', endColorstr='#ff111111', GradientType=0);
+}
+
+.navbar-inverse .brand,
+.navbar-inverse .nav > li > a {
+  color: #999999;
+  text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.25);
+}
+
+.navbar-inverse .brand:hover,
+.navbar-inverse .nav > li > a:hover,
+.navbar-inverse .brand:focus,
+.navbar-inverse .nav > li > a:focus {
+  color: #ffffff;
+}
+
+.navbar-inverse .brand {
+  color: #999999;
+}
+
+.navbar-inverse .navbar-text {
+  color: #999999;
+}
+
+.navbar-inverse .nav > li > a:focus,
+.navbar-inverse .nav > li > a:hover {
+  color: #ffffff;
+  background-color: transparent;
+}
+
+.navbar-inverse .nav .active > a,
+.navbar-inverse .nav .active > a:hover,
+.navbar-inverse .nav .active > a:focus {
+  color: #ffffff;
+  background-color: #111111;
+}
+
+.navbar-inverse .navbar-link {
+  color: #999999;
+}
+
+.navbar-inverse .navbar-link:hover,
+.navbar-inverse .navbar-link:focus {
+  color: #ffffff;
+}
+
+.navbar-inverse .divider-vertical {
+  border-right-color: #222222;
+  border-left-color: #111111;
+}
+
+.navbar-inverse .nav li.dropdown.open > .dropdown-toggle,
+.navbar-inverse .nav li.dropdown.active > .dropdown-toggle,
+.navbar-inverse .nav li.dropdown.open.active > .dropdown-toggle {
+  color: #ffffff;
+  background-color: #111111;
+}
+
+.navbar-inverse .nav li.dropdown > a:hover .caret,
+.navbar-inverse .nav li.dropdown > a:focus .caret {
+  border-top-color: #ffffff;
+  border-bottom-color: #ffffff;
+}
+
+.navbar-inverse .nav li.dropdown > .dropdown-toggle .caret {
+  border-top-color: #999999;
+  border-bottom-color: #999999;
+}
+
+.navbar-inverse .nav li.dropdown.open > .dropdown-toggle .caret,
+.navbar-inverse .nav li.dropdown.active > .dropdown-toggle .caret,
+.navbar-inverse .nav li.dropdown.open.active > .dropdown-toggle .caret {
+  border-top-color: #ffffff;
+  border-bottom-color: #ffffff;
+}
+
+.navbar-inverse .navbar-search .search-query {
+  color: #ffffff;
+  background-color: #515151;
+  border-color: #111111;
+  -webkit-box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1), 0 1px 0 rgba(255, 255, 255, 0.15);
+     -moz-box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1), 0 1px 0 rgba(255, 255, 255, 0.15);
+          box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1), 0 1px 0 rgba(255, 255, 255, 0.15);
+  -webkit-transition: none;
+     -moz-transition: none;
+       -o-transition: none;
+          transition: none;
+}
+
+.navbar-inverse .navbar-search .search-query:-moz-placeholder {
+  color: #cccccc;
+}
+
+.navbar-inverse .navbar-search .search-query:-ms-input-placeholder {
+  color: #cccccc;
+}
+
+.navbar-inverse .navbar-search .search-query::-webkit-input-placeholder {
+  color: #cccccc;
+}
+
+.navbar-inverse .navbar-search .search-query:focus,
+.navbar-inverse .navbar-search .search-query.focused {
+  padding: 5px 15px;
+  color: #333333;
+  text-shadow: 0 1px 0 #ffffff;
+  background-color: #ffffff;
+  border: 0;
+  outline: 0;
+  -webkit-box-shadow: 0 0 3px rgba(0, 0, 0, 0.15);
+     -moz-box-shadow: 0 0 3px rgba(0, 0, 0, 0.15);
+          box-shadow: 0 0 3px rgba(0, 0, 0, 0.15);
+}
+
+.navbar-inverse .btn-navbar {
+  color: #ffffff;
+  text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.25);
+  background-color: #0e0e0e;
+  *background-color: #040404;
+  background-image: -moz-linear-gradient(top, #151515, #040404);
+  background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#151515), to(#040404));
+  background-image: -webkit-linear-gradient(top, #151515, #040404);
+  background-image: -o-linear-gradient(top, #151515, #040404);
+  background-image: linear-gradient(to bottom, #151515, #040404);
+  background-repeat: repeat-x;
+  border-color: #040404 #040404 #000000;
+  border-color: rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.1) rgba(0, 0, 0, 0.25);
+  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff151515', endColorstr='#ff040404', GradientType=0);
+  filter: progid:DXImageTransform.Microsoft.gradient(enabled=false);
+}
+
+.navbar-inverse .btn-navbar:hover,
+.navbar-inverse .btn-navbar:focus,
+.navbar-inverse .btn-navbar:active,
+.navbar-inverse .btn-navbar.active,
+.navbar-inverse .btn-navbar.disabled,
+.navbar-inverse .btn-navbar[disabled] {
+  color: #ffffff;
+  background-color: #040404;
+  *background-color: #000000;
+}
+
+.navbar-inverse .btn-navbar:active,
+.navbar-inverse .btn-navbar.active {
+  background-color: #000000 \9;
+}
+
+.breadcrumb {
+  padding: 8px 15px;
+  margin: 0 0 20px;
+  list-style: none;
+  background-color: #f5f5f5;
+  -webkit-border-radius: 4px;
+     -moz-border-radius: 4px;
+          border-radius: 4px;
+}
+
+.breadcrumb > li {
+  display: inline-block;
+  *display: inline;
+  text-shadow: 0 1px 0 #ffffff;
+  *zoom: 1;
+}
+
+.breadcrumb > li > .divider {
+  padding: 0 5px;
+  color: #ccc;
+}
+
+.breadcrumb > .active {
+  color: #999999;
+}
+
+.pagination {
+  margin: 20px 0;
+}
+
+.pagination ul {
+  display: inline-block;
+  *display: inline;
+  margin-bottom: 0;
+  margin-left: 0;
+  -webkit-border-radius: 4px;
+     -moz-border-radius: 4px;
+          border-radius: 4px;
+  *zoom: 1;
+  -webkit-box-shadow: 0 1px 2px rgba(0, 0, 0, 0.05);
+     -moz-box-shadow: 0 1px 2px rgba(0, 0, 0, 0.05);
+          box-shadow: 0 1px 2px rgba(0, 0, 0, 0.05);
+}
+
+.pagination ul > li {
+  display: inline;
+}
+
+.pagination ul > li > a,
+.pagination ul > li > span {
+  float: left;
+  padding: 4px 12px;
+  line-height: 20px;
+  text-decoration: none;
+  background-color: #ffffff;
+  border: 1px solid #dddddd;
+  border-left-width: 0;
+}
+
+.pagination ul > li > a:hover,
+.pagination ul > li > a:focus,
+.pagination ul > .active > a,
+.pagination ul > .active > span {
+  background-color: #f5f5f5;
+}
+
+.pagination ul > .active > a,
+.pagination ul > .active > span {
+  color: #999999;
+  cursor: default;
+}
+
+.pagination ul > .disabled > span,
+.pagination ul > .disabled > a,
+.pagination ul > .disabled > a:hover,
+.pagination ul > .disabled > a:focus {
+  color: #999999;
+  cursor: default;
+  background-color: transparent;
+}
+
+.pagination ul > li:first-child > a,
+.pagination ul > li:first-child > span {
+  border-left-width: 1px;
+  -webkit-border-bottom-left-radius: 4px;
+          border-bottom-left-radius: 4px;
+  -webkit-border-top-left-radius: 4px;
+          border-top-left-radius: 4px;
+  -moz-border-radius-bottomleft: 4px;
+  -moz-border-radius-topleft: 4px;
+}
+
+.pagination ul > li:last-child > a,
+.pagination ul > li:last-child > span {
+  -webkit-border-top-right-radius: 4px;
+          border-top-right-radius: 4px;
+  -webkit-border-bottom-right-radius: 4px;
+          border-bottom-right-radius: 4px;
+  -moz-border-radius-topright: 4px;
+  -moz-border-radius-bottomright: 4px;
+}
+
+.pagination-centered {
+  text-align: center;
+}
+
+.pagination-right {
+  text-align: right;
+}
+
+.pagination-large ul > li > a,
+.pagination-large ul > li > span {
+  padding: 11px 19px;
+  font-size: 17.5px;
+}
+
+.pagination-large ul > li:first-child > a,
+.pagination-large ul > li:first-child > span {
+  -webkit-border-bottom-left-radius: 6px;
+          border-bottom-left-radius: 6px;
+  -webkit-border-top-left-radius: 6px;
+          border-top-left-radius: 6px;
+  -moz-border-radius-bottomleft: 6px;
+  -moz-border-radius-topleft: 6px;
+}
+
+.pagination-large ul > li:last-child > a,
+.pagination-large ul > li:last-child > span {
+  -webkit-border-top-right-radius: 6px;
+          border-top-right-radius: 6px;
+  -webkit-border-bottom-right-radius: 6px;
+          border-bottom-right-radius: 6px;
+  -moz-border-radius-topright: 6px;
+  -moz-border-radius-bottomright: 6px;
+}
+
+.pagination-mini ul > li:first-child > a,
+.pagination-small ul > li:first-child > a,
+.pagination-mini ul > li:first-child > span,
+.pagination-small ul > li:first-child > span {
+  -webkit-border-bottom-left-radius: 3px;
+          border-bottom-left-radius: 3px;
+  -webkit-border-top-left-radius: 3px;
+          border-top-left-radius: 3px;
+  -moz-border-radius-bottomleft: 3px;
+  -moz-border-radius-topleft: 3px;
+}
+
+.pagination-mini ul > li:last-child > a,
+.pagination-small ul > li:last-child > a,
+.pagination-mini ul > li:last-child > span,
+.pagination-small ul > li:last-child > span {
+  -webkit-border-top-right-radius: 3px;
+          border-top-right-radius: 3px;
+  -webkit-border-bottom-right-radius: 3px;
+          border-bottom-right-radius: 3px;
+  -moz-border-radius-topright: 3px;
+  -moz-border-radius-bottomright: 3px;
+}
+
+.pagination-small ul > li > a,
+.pagination-small ul > li > span {
+  padding: 2px 10px;
+  font-size: 11.9px;
+}
+
+.pagination-mini ul > li > a,
+.pagination-mini ul > li > span {
+  padding: 0 6px;
+  font-size: 10.5px;
+}
+
+.pager {
+  margin: 20px 0;
+  text-align: center;
+  list-style: none;
+  *zoom: 1;
+}
+
+.pager:before,
+.pager:after {
+  display: table;
+  line-height: 0;
+  content: "";
+}
+
+.pager:after {
+  clear: both;
+}
+
+.pager li {
+  display: inline;
+}
+
+.pager li > a,
+.pager li > span {
+  display: inline-block;
+  padding: 5px 14px;
+  background-color: #fff;
+  border: 1px solid #ddd;
+  -webkit-border-radius: 15px;
+     -moz-border-radius: 15px;
+          border-radius: 15px;
+}
+
+.pager li > a:hover,
+.pager li > a:focus {
+  text-decoration: none;
+  background-color: #f5f5f5;
+}
+
+.pager .next > a,
+.pager .next > span {
+  float: right;
+}
+
+.pager .previous > a,
+.pager .previous > span {
+  float: left;
+}
+
+.pager .disabled > a,
+.pager .disabled > a:hover,
+.pager .disabled > a:focus,
+.pager .disabled > span {
+  color: #999999;
+  cursor: default;
+  background-color: #fff;
+}
+
+.modal-backdrop {
+  position: fixed;
+  top: 0;
+  right: 0;
+  bottom: 0;
+  left: 0;
+  z-index: 1040;
+  background-color: #000000;
+}
+
+.modal-backdrop.fade {
+  opacity: 0;
+}
+
+.modal-backdrop,
+.modal-backdrop.fade.in {
+  opacity: 0.8;
+  filter: alpha(opacity=80);
+}
+
+.modal {
+  position: fixed;
+  top: 10%;
+  left: 50%;
+  z-index: 1050;
+  width: 560px;
+  margin-left: -280px;
+  background-color: #ffffff;
+  border: 1px solid #999;
+  border: 1px solid rgba(0, 0, 0, 0.3);
+  *border: 1px solid #999;
+  -webkit-border-radius: 6px;
+     -moz-border-radius: 6px;
+          border-radius: 6px;
+  outline: none;
+  -webkit-box-shadow: 0 3px 7px rgba(0, 0, 0, 0.3);
+     -moz-box-shadow: 0 3px 7px rgba(0, 0, 0, 0.3);
+          box-shadow: 0 3px 7px rgba(0, 0, 0, 0.3);
+  -webkit-background-clip: padding-box;
+     -moz-background-clip: padding-box;
+          background-clip: padding-box;
+}
+
+.modal.fade {
+  top: -25%;
+  -webkit-transition: opacity 0.3s linear, top 0.3s ease-out;
+     -moz-transition: opacity 0.3s linear, top 0.3s ease-out;
+       -o-transition: opacity 0.3s linear, top 0.3s ease-out;
+          transition: opacity 0.3s linear, top 0.3s ease-out;
+}
+
+.modal.fade.in {
+  top: 10%;
+}
+
+.modal-header {
+  padding: 9px 15px;
+  border-bottom: 1px solid #eee;
+}
+
+.modal-header .close {
+  margin-top: 2px;
+}
+
+.modal-header h3 {
+  margin: 0;
+  line-height: 30px;
+}
+
+.modal-body {
+  position: relative;
+  max-height: 400px;
+  padding: 15px;
+  overflow-y: auto;
+}
+
+.modal-form {
+  margin-bottom: 0;
+}
+
+.modal-footer {
+  padding: 14px 15px 15px;
+  margin-bottom: 0;
+  text-align: right;
+  background-color: #f5f5f5;
+  border-top: 1px solid #ddd;
+  -webkit-border-radius: 0 0 6px 6px;
+     -moz-border-radius: 0 0 6px 6px;
+          border-radius: 0 0 6px 6px;
+  *zoom: 1;
+  -webkit-box-shadow: inset 0 1px 0 #ffffff;
+     -moz-box-shadow: inset 0 1px 0 #ffffff;
+          box-shadow: inset 0 1px 0 #ffffff;
+}
+
+.modal-footer:before,
+.modal-footer:after {
+  display: table;
+  line-height: 0;
+  content: "";
+}
+
+.modal-footer:after {
+  clear: both;
+}
+
+.modal-footer .btn + .btn {
+  margin-bottom: 0;
+  margin-left: 5px;
+}
+
+.modal-footer .btn-group .btn + .btn {
+  margin-left: -1px;
+}
+
+.modal-footer .btn-block + .btn-block {
+  margin-left: 0;
+}
+
+.tooltip {
+  position: absolute;
+  z-index: 1030;
+  display: block;
+  font-size: 11px;
+  line-height: 1.4;
+  opacity: 0;
+  filter: alpha(opacity=0);
+  visibility: visible;
+}
+
+.tooltip.in {
+  opacity: 0.8;
+  filter: alpha(opacity=80);
+}
+
+.tooltip.top {
+  padding: 5px 0;
+  margin-top: -3px;
+}
+
+.tooltip.right {
+  padding: 0 5px;
+  margin-left: 3px;
+}
+
+.tooltip.bottom {
+  padding: 5px 0;
+  margin-top: 3px;
+}
+
+.tooltip.left {
+  padding: 0 5px;
+  margin-left: -3px;
+}
+
+.tooltip-inner {
+  max-width: 200px;
+  padding: 8px;
+  color: #ffffff;
+  text-align: center;
+  text-decoration: none;
+  background-color: #000000;
+  -webkit-border-radius: 4px;
+     -moz-border-radius: 4px;
+          border-radius: 4px;
+}
+
+.tooltip-arrow {
+  position: absolute;
+  width: 0;
+  height: 0;
+  border-color: transparent;
+  border-style: solid;
+}
+
+.tooltip.top .tooltip-arrow {
+  bottom: 0;
+  left: 50%;
+  margin-left: -5px;
+  border-top-color: #000000;
+  border-width: 5px 5px 0;
+}
+
+.tooltip.right .tooltip-arrow {
+  top: 50%;
+  left: 0;
+  margin-top: -5px;
+  border-right-color: #000000;
+  border-width: 5px 5px 5px 0;
+}
+
+.tooltip.left .tooltip-arrow {
+  top: 50%;
+  right: 0;
+  margin-top: -5px;
+  border-left-color: #000000;
+  border-width: 5px 0 5px 5px;
+}
+
+.tooltip.bottom .tooltip-arrow {
+  top: 0;
+  left: 50%;
+  margin-left: -5px;
+  border-bottom-color: #000000;
+  border-width: 0 5px 5px;
+}
+
+.popover {
+  position: absolute;
+  top: 0;
+  left: 0;
+  z-index: 1010;
+  display: none;
+  max-width: 276px;
+  padding: 1px;
+  text-align: left;
+  white-space: normal;
+  background-color: #ffffff;
+  border: 1px solid #ccc;
+  border: 1px solid rgba(0, 0, 0, 0.2);
+  -webkit-border-radius: 6px;
+     -moz-border-radius: 6px;
+          border-radius: 6px;
+  -webkit-box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);
+     -moz-box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);
+          box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);
+  -webkit-background-clip: padding-box;
+     -moz-background-clip: padding;
+          background-clip: padding-box;
+}
+
+.popover.top {
+  margin-top: -10px;
+}
+
+.popover.right {
+  margin-left: 10px;
+}
+
+.popover.bottom {
+  margin-top: 10px;
+}
+
+.popover.left {
+  margin-left: -10px;
+}
+
+.popover-title {
+  padding: 8px 14px;
+  margin: 0;
+  font-size: 14px;
+  font-weight: normal;
+  line-height: 18px;
+  background-color: #f7f7f7;
+  border-bottom: 1px solid #ebebeb;
+  -webkit-border-radius: 5px 5px 0 0;
+     -moz-border-radius: 5px 5px 0 0;
+          border-radius: 5px 5px 0 0;
+}
+
+.popover-title:empty {
+  display: none;
+}
+
+.popover-content {
+  padding: 9px 14px;
+}
+
+.popover .arrow,
+.popover .arrow:after {
+  position: absolute;
+  display: block;
+  width: 0;
+  height: 0;
+  border-color: transparent;
+  border-style: solid;
+}
+
+.popover .arrow {
+  border-width: 11px;
+}
+
+.popover .arrow:after {
+  border-width: 10px;
+  content: "";
+}
+
+.popover.top .arrow {
+  bottom: -11px;
+  left: 50%;
+  margin-left: -11px;
+  border-top-color: #999;
+  border-top-color: rgba(0, 0, 0, 0.25);
+  border-bottom-width: 0;
+}
+
+.popover.top .arrow:after {
+  bottom: 1px;
+  margin-left: -10px;
+  border-top-color: #ffffff;
+  border-bottom-width: 0;
+}
+
+.popover.right .arrow {
+  top: 50%;
+  left: -11px;
+  margin-top: -11px;
+  border-right-color: #999;
+  border-right-color: rgba(0, 0, 0, 0.25);
+  border-left-width: 0;
+}
+
+.popover.right .arrow:after {
+  bottom: -10px;
+  left: 1px;
+  border-right-color: #ffffff;
+  border-left-width: 0;
+}
+
+.popover.bottom .arrow {
+  top: -11px;
+  left: 50%;
+  margin-left: -11px;
+  border-bottom-color: #999;
+  border-bottom-color: rgba(0, 0, 0, 0.25);
+  border-top-width: 0;
+}
+
+.popover.bottom .arrow:after {
+  top: 1px;
+  margin-left: -10px;
+  border-bottom-color: #ffffff;
+  border-top-width: 0;
+}
+
+.popover.left .arrow {
+  top: 50%;
+  right: -11px;
+  margin-top: -11px;
+  border-left-color: #999;
+  border-left-color: rgba(0, 0, 0, 0.25);
+  border-right-width: 0;
+}
+
+.popover.left .arrow:after {
+  right: 1px;
+  bottom: -10px;
+  border-left-color: #ffffff;
+  border-right-width: 0;
+}
+
+.thumbnails {
+  margin-left: -20px;
+  list-style: none;
+  *zoom: 1;
+}
+
+.thumbnails:before,
+.thumbnails:after {
+  display: table;
+  line-height: 0;
+  content: "";
+}
+
+.thumbnails:after {
+  clear: both;
+}
+
+.row-fluid .thumbnails {
+  margin-left: 0;
+}
+
+.thumbnails > li {
+  float: left;
+  margin-bottom: 20px;
+  margin-left: 20px;
+}
+
+.thumbnail {
+  display: block;
+  padding: 4px;
+  line-height: 20px;
+  border: 1px solid #ddd;
+  -webkit-border-radius: 4px;
+     -moz-border-radius: 4px;
+          border-radius: 4px;
+  -webkit-box-shadow: 0 1px 3px rgba(0, 0, 0, 0.055);
+     -moz-box-shadow: 0 1px 3px rgba(0, 0, 0, 0.055);
+          box-shadow: 0 1px 3px rgba(0, 0, 0, 0.055);
+  -webkit-transition: all 0.2s ease-in-out;
+     -moz-transition: all 0.2s ease-in-out;
+       -o-transition: all 0.2s ease-in-out;
+          transition: all 0.2s ease-in-out;
+}
+
+a.thumbnail:hover,
+a.thumbnail:focus {
+  border-color: #0088cc;
+  -webkit-box-shadow: 0 1px 4px rgba(0, 105, 214, 0.25);
+     -moz-box-shadow: 0 1px 4px rgba(0, 105, 214, 0.25);
+          box-shadow: 0 1px 4px rgba(0, 105, 214, 0.25);
+}
+
+.thumbnail > img {
+  display: block;
+  max-width: 100%;
+  margin-right: auto;
+  margin-left: auto;
+}
+
+.thumbnail .caption {
+  padding: 9px;
+  color: #555555;
+}
+
+.media,
+.media-body {
+  overflow: hidden;
+  *overflow: visible;
+  zoom: 1;
+}
+
+.media,
+.media .media {
+  margin-top: 15px;
+}
+
+.media:first-child {
+  margin-top: 0;
+}
+
+.media-object {
+  display: block;
+}
+
+.media-heading {
+  margin: 0 0 5px;
+}
+
+.media > .pull-left {
+  margin-right: 10px;
+}
+
+.media > .pull-right {
+  margin-left: 10px;
+}
+
+.media-list {
+  margin-left: 0;
+  list-style: none;
+}
+
+.label,
+.badge {
+  display: inline-block;
+  padding: 2px 4px;
+  font-size: 11.844px;
+  font-weight: bold;
+  line-height: 14px;
+  color: #ffffff;
+  text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.25);
+  white-space: nowrap;
+  vertical-align: baseline;
+  background-color: #999999;
+}
+
+.label {
+  -webkit-border-radius: 3px;
+     -moz-border-radius: 3px;
+          border-radius: 3px;
+}
+
+.badge {
+  padding-right: 9px;
+  padding-left: 9px;
+  -webkit-border-radius: 9px;
+     -moz-border-radius: 9px;
+          border-radius: 9px;
+}
+
+.label:empty,
+.badge:empty {
+  display: none;
+}
+
+a.label:hover,
+a.label:focus,
+a.badge:hover,
+a.badge:focus {
+  color: #ffffff;
+  text-decoration: none;
+  cursor: pointer;
+}
+
+.label-important,
+.badge-important {
+  background-color: #b94a48;
+}
+
+.label-important[href],
+.badge-important[href] {
+  background-color: #953b39;
+}
+
+.label-warning,
+.badge-warning {
+  background-color: #f89406;
+}
+
+.label-warning[href],
+.badge-warning[href] {
+  background-color: #c67605;
+}
+
+.label-success,
+.badge-success {
+  background-color: #468847;
+}
+
+.label-success[href],
+.badge-success[href] {
+  background-color: #356635;
+}
+
+.label-info,
+.badge-info {
+  background-color: #3a87ad;
+}
+
+.label-info[href],
+.badge-info[href] {
+  background-color: #2d6987;
+}
+
+.label-inverse,
+.badge-inverse {
+  background-color: #333333;
+}
+
+.label-inverse[href],
+.badge-inverse[href] {
+  background-color: #1a1a1a;
+}
+
+.btn .label,
+.btn .badge {
+  position: relative;
+  top: -1px;
+}
+
+.btn-mini .label,
+.btn-mini .badge {
+  top: 0;
+}
+
+@-webkit-keyframes progress-bar-stripes {
+  from {
+    background-position: 40px 0;
+  }
+  to {
+    background-position: 0 0;
+  }
+}
+
+@-moz-keyframes progress-bar-stripes {
+  from {
+    background-position: 40px 0;
+  }
+  to {
+    background-position: 0 0;
+  }
+}
+
+@-ms-keyframes progress-bar-stripes {
+  from {
+    background-position: 40px 0;
+  }
+  to {
+    background-position: 0 0;
+  }
+}
+
+@-o-keyframes progress-bar-stripes {
+  from {
+    background-position: 0 0;
+  }
+  to {
+    background-position: 40px 0;
+  }
+}
+
+@keyframes progress-bar-stripes {
+  from {
+    background-position: 40px 0;
+  }
+  to {
+    background-position: 0 0;
+  }
+}
+
+.progress {
+  height: 20px;
+  margin-bottom: 20px;
+  overflow: hidden;
+  background-color: #f7f7f7;
+  background-image: -moz-linear-gradient(top, #f5f5f5, #f9f9f9);
+  background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#f5f5f5), to(#f9f9f9));
+  background-image: -webkit-linear-gradient(top, #f5f5f5, #f9f9f9);
+  background-image: -o-linear-gradient(top, #f5f5f5, #f9f9f9);
+  background-image: linear-gradient(to bottom, #f5f5f5, #f9f9f9);
+  background-repeat: repeat-x;
+  -webkit-border-radius: 4px;
+     -moz-border-radius: 4px;
+          border-radius: 4px;
+  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff5f5f5', endColorstr='#fff9f9f9', GradientType=0);
+  -webkit-box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);
+     -moz-box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);
+          box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);
+}
+
+.progress .bar {
+  float: left;
+  width: 0;
+  height: 100%;
+  font-size: 12px;
+  color: #ffffff;
+  text-align: center;
+  text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.25);
+  background-color: #0e90d2;
+  background-image: -moz-linear-gradient(top, #149bdf, #0480be);
+  background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#149bdf), to(#0480be));
+  background-image: -webkit-linear-gradient(top, #149bdf, #0480be);
+  background-image: -o-linear-gradient(top, #149bdf, #0480be);
+  background-image: linear-gradient(to bottom, #149bdf, #0480be);
+  background-repeat: repeat-x;
+  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff149bdf', endColorstr='#ff0480be', GradientType=0);
+  -webkit-box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15);
+     -moz-box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15);
+          box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15);
+  -webkit-box-sizing: border-box;
+     -moz-box-sizing: border-box;
+          box-sizing: border-box;
+  -webkit-transition: width 0.6s ease;
+     -moz-transition: width 0.6s ease;
+       -o-transition: width 0.6s ease;
+          transition: width 0.6s ease;
+}
+
+.progress .bar + .bar {
+  -webkit-box-shadow: inset 1px 0 0 rgba(0, 0, 0, 0.15), inset 0 -1px 0 rgba(0, 0, 0, 0.15);
+     -moz-box-shadow: inset 1px 0 0 rgba(0, 0, 0, 0.15), inset 0 -1px 0 rgba(0, 0, 0, 0.15);
+          box-shadow: inset 1px 0 0 rgba(0, 0, 0, 0.15), inset 0 -1px 0 rgba(0, 0, 0, 0.15);
+}
+
+.progress-striped .bar {
+  background-color: #149bdf;
+  background-image: -webkit-gradient(linear, 0 100%, 100% 0, color-stop(0.25, rgba(255, 255, 255, 0.15)), color-stop(0.25, transparent), color-stop(0.5, transparent), color-stop(0.5, rgba(255, 255, 255, 0.15)), color-stop(0.75, rgba(255, 255, 255, 0.15)), color-stop(0.75, transparent), to(transparent));
+  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+  background-image: -moz-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+  -webkit-background-size: 40px 40px;
+     -moz-background-size: 40px 40px;
+       -o-background-size: 40px 40px;
+          background-size: 40px 40px;
+}
+
+.progress.active .bar {
+  -webkit-animation: progress-bar-stripes 2s linear infinite;
+     -moz-animation: progress-bar-stripes 2s linear infinite;
+      -ms-animation: progress-bar-stripes 2s linear infinite;
+       -o-animation: progress-bar-stripes 2s linear infinite;
+          animation: progress-bar-stripes 2s linear infinite;
+}
+
+.progress-danger .bar,
+.progress .bar-danger {
+  background-color: #dd514c;
+  background-image: -moz-linear-gradient(top, #ee5f5b, #c43c35);
+  background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#ee5f5b), to(#c43c35));
+  background-image: -webkit-linear-gradient(top, #ee5f5b, #c43c35);
+  background-image: -o-linear-gradient(top, #ee5f5b, #c43c35);
+  background-image: linear-gradient(to bottom, #ee5f5b, #c43c35);
+  background-repeat: repeat-x;
+  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffee5f5b', endColorstr='#ffc43c35', GradientType=0);
+}
+
+.progress-danger.progress-striped .bar,
+.progress-striped .bar-danger {
+  background-color: #ee5f5b;
+  background-image: -webkit-gradient(linear, 0 100%, 100% 0, color-stop(0.25, rgba(255, 255, 255, 0.15)), color-stop(0.25, transparent), color-stop(0.5, transparent), color-stop(0.5, rgba(255, 255, 255, 0.15)), color-stop(0.75, rgba(255, 255, 255, 0.15)), color-stop(0.75, transparent), to(transparent));
+  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+  background-image: -moz-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+}
+
+.progress-success .bar,
+.progress .bar-success {
+  background-color: #5eb95e;
+  background-image: -moz-linear-gradient(top, #62c462, #57a957);
+  background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#62c462), to(#57a957));
+  background-image: -webkit-linear-gradient(top, #62c462, #57a957);
+  background-image: -o-linear-gradient(top, #62c462, #57a957);
+  background-image: linear-gradient(to bottom, #62c462, #57a957);
+  background-repeat: repeat-x;
+  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff62c462', endColorstr='#ff57a957', GradientType=0);
+}
+
+.progress-success.progress-striped .bar,
+.progress-striped .bar-success {
+  background-color: #62c462;
+  background-image: -webkit-gradient(linear, 0 100%, 100% 0, color-stop(0.25, rgba(255, 255, 255, 0.15)), color-stop(0.25, transparent), color-stop(0.5, transparent), color-stop(0.5, rgba(255, 255, 255, 0.15)), color-stop(0.75, rgba(255, 255, 255, 0.15)), color-stop(0.75, transparent), to(transparent));
+  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+  background-image: -moz-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+}
+
+.progress-info .bar,
+.progress .bar-info {
+  background-color: #4bb1cf;
+  background-image: -moz-linear-gradient(top, #5bc0de, #339bb9);
+  background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#5bc0de), to(#339bb9));
+  background-image: -webkit-linear-gradient(top, #5bc0de, #339bb9);
+  background-image: -o-linear-gradient(top, #5bc0de, #339bb9);
+  background-image: linear-gradient(to bottom, #5bc0de, #339bb9);
+  background-repeat: repeat-x;
+  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff5bc0de', endColorstr='#ff339bb9', GradientType=0);
+}
+
+.progress-info.progress-striped .bar,
+.progress-striped .bar-info {
+  background-color: #5bc0de;
+  background-image: -webkit-gradient(linear, 0 100%, 100% 0, color-stop(0.25, rgba(255, 255, 255, 0.15)), color-stop(0.25, transparent), color-stop(0.5, transparent), color-stop(0.5, rgba(255, 255, 255, 0.15)), color-stop(0.75, rgba(255, 255, 255, 0.15)), color-stop(0.75, transparent), to(transparent));
+  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+  background-image: -moz-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+}
+
+.progress-warning .bar,
+.progress .bar-warning {
+  background-color: #faa732;
+  background-image: -moz-linear-gradient(top, #fbb450, #f89406);
+  background-image: -webkit-gradient(linear, 0 0, 0 100%, from(#fbb450), to(#f89406));
+  background-image: -webkit-linear-gradient(top, #fbb450, #f89406);
+  background-image: -o-linear-gradient(top, #fbb450, #f89406);
+  background-image: linear-gradient(to bottom, #fbb450, #f89406);
+  background-repeat: repeat-x;
+  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fffbb450', endColorstr='#fff89406', GradientType=0);
+}
+
+.progress-warning.progress-striped .bar,
+.progress-striped .bar-warning {
+  background-color: #fbb450;
+  background-image: -webkit-gradient(linear, 0 100%, 100% 0, color-stop(0.25, rgba(255, 255, 255, 0.15)), color-stop(0.25, transparent), color-stop(0.5, transparent), color-stop(0.5, rgba(255, 255, 255, 0.15)), color-stop(0.75, rgba(255, 255, 255, 0.15)), color-stop(0.75, transparent), to(transparent));
+  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+  background-image: -moz-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+}
+
+.accordion {
+  margin-bottom: 20px;
+}
+
+.accordion-group {
+  margin-bottom: 2px;
+  border: 1px solid #e5e5e5;
+  -webkit-border-radius: 4px;
+     -moz-border-radius: 4px;
+          border-radius: 4px;
+}
+
+.accordion-heading {
+  border-bottom: 0;
+}
+
+.accordion-heading .accordion-toggle {
+  display: block;
+  padding: 8px 15px;
+}
+
+.accordion-toggle {
+  cursor: pointer;
+}
+
+.accordion-inner {
+  padding: 9px 15px;
+  border-top: 1px solid #e5e5e5;
+}
+
+.carousel {
+  position: relative;
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+}
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+  width: 100%;
+  overflow: hidden;
+}
+
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+  display: none;
+  -webkit-transition: 0.6s ease-in-out left;
+     -moz-transition: 0.6s ease-in-out left;
+       -o-transition: 0.6s ease-in-out left;
+          transition: 0.6s ease-in-out left;
+}
+
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+  display: block;
+  line-height: 1;
+}
+
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+  display: block;
+}
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+}
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+  width: 100%;
+}
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+}
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+}
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+  left: -100%;
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+
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+}
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+  left: 15px;
+  width: 40px;
+  height: 40px;
+  margin-top: -20px;
+  font-size: 60px;
+  font-weight: 100;
+  line-height: 30px;
+  color: #ffffff;
+  text-align: center;
+  background: #222222;
+  border: 3px solid #ffffff;
+  -webkit-border-radius: 23px;
+     -moz-border-radius: 23px;
+          border-radius: 23px;
+  opacity: 0.5;
+  filter: alpha(opacity=50);
+}
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+  right: 15px;
+  left: auto;
+}
+
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+  color: #ffffff;
+  text-decoration: none;
+  opacity: 0.9;
+  filter: alpha(opacity=90);
+}
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+.carousel-indicators {
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+  top: 15px;
+  right: 15px;
+  z-index: 5;
+  margin: 0;
+  list-style: none;
+}
+
+.carousel-indicators li {
+  display: block;
+  float: left;
+  width: 10px;
+  height: 10px;
+  margin-left: 5px;
+  text-indent: -999px;
+  background-color: #ccc;
+  background-color: rgba(255, 255, 255, 0.25);
+  border-radius: 5px;
+}
+
+.carousel-indicators .active {
+  background-color: #fff;
+}
+
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+  position: absolute;
+  right: 0;
+  bottom: 0;
+  left: 0;
+  padding: 15px;
+  background: #333333;
+  background: rgba(0, 0, 0, 0.75);
+}
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+  line-height: 20px;
+  color: #ffffff;
+}
+
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+  margin: 0 0 5px;
+}
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+  padding: 60px;
+  margin-bottom: 30px;
+  font-size: 18px;
+  font-weight: 200;
+  line-height: 30px;
+  color: inherit;
+  background-color: #eeeeee;
+  -webkit-border-radius: 6px;
+     -moz-border-radius: 6px;
+          border-radius: 6px;
+}
+
+.hero-unit h1 {
+  margin-bottom: 0;
+  font-size: 60px;
+  line-height: 1;
+  letter-spacing: -1px;
+  color: inherit;
+}
+
+.hero-unit li {
+  line-height: 30px;
+}
+
+.pull-right {
+  float: right;
+}
+
+.pull-left {
+  float: left;
+}
+
+.hide {
+  display: none;
+}
+
+.show {
+  display: block;
+}
+
+.invisible {
+  visibility: hidden;
+}
+
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+  position: fixed;
+}
diff --git a/trackpy/v0.6.2/_static/bootstrap-2.3.2/css/bootstrap.min.css b/trackpy/v0.6.2/_static/bootstrap-2.3.2/css/bootstrap.min.css
new file mode 100644
index 00000000..b6428e69
--- /dev/null
+++ b/trackpy/v0.6.2/_static/bootstrap-2.3.2/css/bootstrap.min.css
@@ -0,0 +1,9 @@
+/*!
+ * Bootstrap v2.3.2
+ *
+ * Copyright 2012 Twitter, Inc
+ * Licensed under the Apache License v2.0
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Designed and built with all the love in the world @twitter by @mdo and @fat.
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HcmV?d00001

diff --git a/trackpy/v0.6.2/_static/bootstrap-2.3.2/js/bootstrap.js b/trackpy/v0.6.2/_static/bootstrap-2.3.2/js/bootstrap.js
new file mode 100644
index 00000000..638bb187
--- /dev/null
+++ b/trackpy/v0.6.2/_static/bootstrap-2.3.2/js/bootstrap.js
@@ -0,0 +1,2287 @@
+/* ===================================================
+ * bootstrap-transition.js v2.3.2
+ * http://twitter.github.com/bootstrap/javascript.html#transitions
+ * ===================================================
+ * Copyright 2012 Twitter, Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ * ========================================================== */
+
+
+!function ($) {
+
+  "use strict"; // jshint ;_;
+
+
+  /* CSS TRANSITION SUPPORT (http://www.modernizr.com/)
+   * ======================================================= */
+
+  $(function () {
+
+    $.support.transition = (function () {
+
+      var transitionEnd = (function () {
+
+        var el = document.createElement('bootstrap')
+          , transEndEventNames = {
+               'WebkitTransition' : 'webkitTransitionEnd'
+            ,  'MozTransition'    : 'transitionend'
+            ,  'OTransition'      : 'oTransitionEnd otransitionend'
+            ,  'transition'       : 'transitionend'
+            }
+          , name
+
+        for (name in transEndEventNames){
+          if (el.style[name] !== undefined) {
+            return transEndEventNames[name]
+          }
+        }
+
+      }())
+
+      return transitionEnd && {
+        end: transitionEnd
+      }
+
+    })()
+
+  })
+
+}(window.$jqTheme || window.jQuery);
+/* ==========================================================
+ * bootstrap-alert.js v2.3.2
+ * http://twitter.github.com/bootstrap/javascript.html#alerts
+ * ==========================================================
+ * Copyright 2012 Twitter, Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ * ========================================================== */
+
+
+!function ($) {
+
+  "use strict"; // jshint ;_;
+
+
+ /* ALERT CLASS DEFINITION
+  * ====================== */
+
+  var dismiss = '[data-dismiss="alert"]'
+    , Alert = function (el) {
+        $(el).on('click', dismiss, this.close)
+      }
+
+  Alert.prototype.close = function (e) {
+    var $this = $(this)
+      , selector = $this.attr('data-target')
+      , $parent
+
+    if (!selector) {
+      selector = $this.attr('href')
+      selector = selector && selector.replace(/.*(?=#[^\s]*$)/, '') //strip for ie7
+    }
+
+    $parent = $(selector)
+
+    e && e.preventDefault()
+
+    $parent.length || ($parent = $this.hasClass('alert') ? $this : $this.parent())
+
+    $parent.trigger(e = $.Event('close'))
+
+    if (e.isDefaultPrevented()) return
+
+    $parent.removeClass('in')
+
+    function removeElement() {
+      $parent
+        .trigger('closed')
+        .remove()
+    }
+
+    $.support.transition && $parent.hasClass('fade') ?
+      $parent.on($.support.transition.end, removeElement) :
+      removeElement()
+  }
+
+
+ /* ALERT PLUGIN DEFINITION
+  * ======================= */
+
+  var old = $.fn.alert
+
+  $.fn.alert = function (option) {
+    return this.each(function () {
+      var $this = $(this)
+        , data = $this.data('alert')
+      if (!data) $this.data('alert', (data = new Alert(this)))
+      if (typeof option == 'string') data[option].call($this)
+    })
+  }
+
+  $.fn.alert.Constructor = Alert
+
+
+ /* ALERT NO CONFLICT
+  * ================= */
+
+  $.fn.alert.noConflict = function () {
+    $.fn.alert = old
+    return this
+  }
+
+
+ /* ALERT DATA-API
+  * ============== */
+
+  $(document).on('click.alert.data-api', dismiss, Alert.prototype.close)
+
+}(window.$jqTheme || window.jQuery);
+/* ============================================================
+ * bootstrap-button.js v2.3.2
+ * http://twitter.github.com/bootstrap/javascript.html#buttons
+ * ============================================================
+ * Copyright 2012 Twitter, Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ * ============================================================ */
+
+
+!function ($) {
+
+  "use strict"; // jshint ;_;
+
+
+ /* BUTTON PUBLIC CLASS DEFINITION
+  * ============================== */
+
+  var Button = function (element, options) {
+    this.$element = $(element)
+    this.options = $.extend({}, $.fn.button.defaults, options)
+  }
+
+  Button.prototype.setState = function (state) {
+    var d = 'disabled'
+      , $el = this.$element
+      , data = $el.data()
+      , val = $el.is('input') ? 'val' : 'html'
+
+    state = state + 'Text'
+    data.resetText || $el.data('resetText', $el[val]())
+
+    $el[val](data[state] || this.options[state])
+
+    // push to event loop to allow forms to submit
+    setTimeout(function () {
+      state == 'loadingText' ?
+        $el.addClass(d).attr(d, d) :
+        $el.removeClass(d).removeAttr(d)
+    }, 0)
+  }
+
+  Button.prototype.toggle = function () {
+    var $parent = this.$element.closest('[data-toggle="buttons-radio"]')
+
+    $parent && $parent
+      .find('.active')
+      .removeClass('active')
+
+    this.$element.toggleClass('active')
+  }
+
+
+ /* BUTTON PLUGIN DEFINITION
+  * ======================== */
+
+  var old = $.fn.button
+
+  $.fn.button = function (option) {
+    return this.each(function () {
+      var $this = $(this)
+        , data = $this.data('button')
+        , options = typeof option == 'object' && option
+      if (!data) $this.data('button', (data = new Button(this, options)))
+      if (option == 'toggle') data.toggle()
+      else if (option) data.setState(option)
+    })
+  }
+
+  $.fn.button.defaults = {
+    loadingText: 'loading...'
+  }
+
+  $.fn.button.Constructor = Button
+
+
+ /* BUTTON NO CONFLICT
+  * ================== */
+
+  $.fn.button.noConflict = function () {
+    $.fn.button = old
+    return this
+  }
+
+
+ /* BUTTON DATA-API
+  * =============== */
+
+  $(document).on('click.button.data-api', '[data-toggle^=button]', function (e) {
+    var $btn = $(e.target)
+    if (!$btn.hasClass('btn')) $btn = $btn.closest('.btn')
+    $btn.button('toggle')
+  })
+
+}(window.$jqTheme || window.jQuery);
+/* ==========================================================
+ * bootstrap-carousel.js v2.3.2
+ * http://twitter.github.com/bootstrap/javascript.html#carousel
+ * ==========================================================
+ * Copyright 2012 Twitter, Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ * ========================================================== */
+
+
+!function ($) {
+
+  "use strict"; // jshint ;_;
+
+
+ /* CAROUSEL CLASS DEFINITION
+  * ========================= */
+
+  var Carousel = function (element, options) {
+    this.$element = $(element)
+    this.$indicators = this.$element.find('.carousel-indicators')
+    this.options = options
+    this.options.pause == 'hover' && this.$element
+      .on('mouseenter', $.proxy(this.pause, this))
+      .on('mouseleave', $.proxy(this.cycle, this))
+  }
+
+  Carousel.prototype = {
+
+    cycle: function (e) {
+      if (!e) this.paused = false
+      if (this.interval) clearInterval(this.interval);
+      this.options.interval
+        && !this.paused
+        && (this.interval = setInterval($.proxy(this.next, this), this.options.interval))
+      return this
+    }
+
+  , getActiveIndex: function () {
+      this.$active = this.$element.find('.item.active')
+      this.$items = this.$active.parent().children()
+      return this.$items.index(this.$active)
+    }
+
+  , to: function (pos) {
+      var activeIndex = this.getActiveIndex()
+        , that = this
+
+      if (pos > (this.$items.length - 1) || pos < 0) return
+
+      if (this.sliding) {
+        return this.$element.one('slid', function () {
+          that.to(pos)
+        })
+      }
+
+      if (activeIndex == pos) {
+        return this.pause().cycle()
+      }
+
+      return this.slide(pos > activeIndex ? 'next' : 'prev', $(this.$items[pos]))
+    }
+
+  , pause: function (e) {
+      if (!e) this.paused = true
+      if (this.$element.find('.next, .prev').length && $.support.transition.end) {
+        this.$element.trigger($.support.transition.end)
+        this.cycle(true)
+      }
+      clearInterval(this.interval)
+      this.interval = null
+      return this
+    }
+
+  , next: function () {
+      if (this.sliding) return
+      return this.slide('next')
+    }
+
+  , prev: function () {
+      if (this.sliding) return
+      return this.slide('prev')
+    }
+
+  , slide: function (type, next) {
+      var $active = this.$element.find('.item.active')
+        , $next = next || $active[type]()
+        , isCycling = this.interval
+        , direction = type == 'next' ? 'left' : 'right'
+        , fallback  = type == 'next' ? 'first' : 'last'
+        , that = this
+        , e
+
+      this.sliding = true
+
+      isCycling && this.pause()
+
+      $next = $next.length ? $next : this.$element.find('.item')[fallback]()
+
+      e = $.Event('slide', {
+        relatedTarget: $next[0]
+      , direction: direction
+      })
+
+      if ($next.hasClass('active')) return
+
+      if (this.$indicators.length) {
+        this.$indicators.find('.active').removeClass('active')
+        this.$element.one('slid', function () {
+          var $nextIndicator = $(that.$indicators.children()[that.getActiveIndex()])
+          $nextIndicator && $nextIndicator.addClass('active')
+        })
+      }
+
+      if ($.support.transition && this.$element.hasClass('slide')) {
+        this.$element.trigger(e)
+        if (e.isDefaultPrevented()) return
+        $next.addClass(type)
+        $next[0].offsetWidth // force reflow
+        $active.addClass(direction)
+        $next.addClass(direction)
+        this.$element.one($.support.transition.end, function () {
+          $next.removeClass([type, direction].join(' ')).addClass('active')
+          $active.removeClass(['active', direction].join(' '))
+          that.sliding = false
+          setTimeout(function () { that.$element.trigger('slid') }, 0)
+        })
+      } else {
+        this.$element.trigger(e)
+        if (e.isDefaultPrevented()) return
+        $active.removeClass('active')
+        $next.addClass('active')
+        this.sliding = false
+        this.$element.trigger('slid')
+      }
+
+      isCycling && this.cycle()
+
+      return this
+    }
+
+  }
+
+
+ /* CAROUSEL PLUGIN DEFINITION
+  * ========================== */
+
+  var old = $.fn.carousel
+
+  $.fn.carousel = function (option) {
+    return this.each(function () {
+      var $this = $(this)
+        , data = $this.data('carousel')
+        , options = $.extend({}, $.fn.carousel.defaults, typeof option == 'object' && option)
+        , action = typeof option == 'string' ? option : options.slide
+      if (!data) $this.data('carousel', (data = new Carousel(this, options)))
+      if (typeof option == 'number') data.to(option)
+      else if (action) data[action]()
+      else if (options.interval) data.pause().cycle()
+    })
+  }
+
+  $.fn.carousel.defaults = {
+    interval: 5000
+  , pause: 'hover'
+  }
+
+  $.fn.carousel.Constructor = Carousel
+
+
+ /* CAROUSEL NO CONFLICT
+  * ==================== */
+
+  $.fn.carousel.noConflict = function () {
+    $.fn.carousel = old
+    return this
+  }
+
+ /* CAROUSEL DATA-API
+  * ================= */
+
+  $(document).on('click.carousel.data-api', '[data-slide], [data-slide-to]', function (e) {
+    var $this = $(this), href
+      , $target = $($this.attr('data-target') || (href = $this.attr('href')) && href.replace(/.*(?=#[^\s]+$)/, '')) //strip for ie7
+      , options = $.extend({}, $target.data(), $this.data())
+      , slideIndex
+
+    $target.carousel(options)
+
+    if (slideIndex = $this.attr('data-slide-to')) {
+      $target.data('carousel').pause().to(slideIndex).cycle()
+    }
+
+    e.preventDefault()
+  })
+
+}(window.$jqTheme || window.jQuery);
+/* =============================================================
+ * bootstrap-collapse.js v2.3.2
+ * http://twitter.github.com/bootstrap/javascript.html#collapse
+ * =============================================================
+ * Copyright 2012 Twitter, Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ * ============================================================ */
+
+
+!function ($) {
+
+  "use strict"; // jshint ;_;
+
+
+ /* COLLAPSE PUBLIC CLASS DEFINITION
+  * ================================ */
+
+  var Collapse = function (element, options) {
+    this.$element = $(element)
+    this.options = $.extend({}, $.fn.collapse.defaults, options)
+
+    if (this.options.parent) {
+      this.$parent = $(this.options.parent)
+    }
+
+    this.options.toggle && this.toggle()
+  }
+
+  Collapse.prototype = {
+
+    constructor: Collapse
+
+  , dimension: function () {
+      var hasWidth = this.$element.hasClass('width')
+      return hasWidth ? 'width' : 'height'
+    }
+
+  , show: function () {
+      var dimension
+        , scroll
+        , actives
+        , hasData
+
+      if (this.transitioning || this.$element.hasClass('in')) return
+
+      dimension = this.dimension()
+      scroll = $.camelCase(['scroll', dimension].join('-'))
+      actives = this.$parent && this.$parent.find('> .accordion-group > .in')
+
+      if (actives && actives.length) {
+        hasData = actives.data('collapse')
+        if (hasData && hasData.transitioning) return
+        actives.collapse('hide')
+        hasData || actives.data('collapse', null)
+      }
+
+      this.$element[dimension](0)
+      this.transition('addClass', $.Event('show'), 'shown')
+      $.support.transition && this.$element[dimension](this.$element[0][scroll])
+    }
+
+  , hide: function () {
+      var dimension
+      if (this.transitioning || !this.$element.hasClass('in')) return
+      dimension = this.dimension()
+      this.reset(this.$element[dimension]())
+      this.transition('removeClass', $.Event('hide'), 'hidden')
+      this.$element[dimension](0)
+    }
+
+  , reset: function (size) {
+      var dimension = this.dimension()
+
+      this.$element
+        .removeClass('collapse')
+        [dimension](size || 'auto')
+        [0].offsetWidth
+
+      this.$element[size !== null ? 'addClass' : 'removeClass']('collapse')
+
+      return this
+    }
+
+  , transition: function (method, startEvent, completeEvent) {
+      var that = this
+        , complete = function () {
+            if (startEvent.type == 'show') that.reset()
+            that.transitioning = 0
+            that.$element.trigger(completeEvent)
+          }
+
+      this.$element.trigger(startEvent)
+
+      if (startEvent.isDefaultPrevented()) return
+
+      this.transitioning = 1
+
+      this.$element[method]('in')
+
+      $.support.transition && this.$element.hasClass('collapse') ?
+        this.$element.one($.support.transition.end, complete) :
+        complete()
+    }
+
+  , toggle: function () {
+      this[this.$element.hasClass('in') ? 'hide' : 'show']()
+    }
+
+  }
+
+
+ /* COLLAPSE PLUGIN DEFINITION
+  * ========================== */
+
+  var old = $.fn.collapse
+
+  $.fn.collapse = function (option) {
+    return this.each(function () {
+      var $this = $(this)
+        , data = $this.data('collapse')
+        , options = $.extend({}, $.fn.collapse.defaults, $this.data(), typeof option == 'object' && option)
+      if (!data) $this.data('collapse', (data = new Collapse(this, options)))
+      if (typeof option == 'string') data[option]()
+    })
+  }
+
+  $.fn.collapse.defaults = {
+    toggle: true
+  }
+
+  $.fn.collapse.Constructor = Collapse
+
+
+ /* COLLAPSE NO CONFLICT
+  * ==================== */
+
+  $.fn.collapse.noConflict = function () {
+    $.fn.collapse = old
+    return this
+  }
+
+
+ /* COLLAPSE DATA-API
+  * ================= */
+
+  $(document).on('click.collapse.data-api', '[data-toggle=collapse]', function (e) {
+    var $this = $(this), href
+      , target = $this.attr('data-target')
+        || e.preventDefault()
+        || (href = $this.attr('href')) && href.replace(/.*(?=#[^\s]+$)/, '') //strip for ie7
+      , option = $(target).data('collapse') ? 'toggle' : $this.data()
+    $this[$(target).hasClass('in') ? 'addClass' : 'removeClass']('collapsed')
+    $(target).collapse(option)
+  })
+
+}(window.$jqTheme || window.jQuery);
+/* ============================================================
+ * bootstrap-dropdown.js v2.3.2
+ * http://twitter.github.com/bootstrap/javascript.html#dropdowns
+ * ============================================================
+ * Copyright 2012 Twitter, Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ * ============================================================ */
+
+
+!function ($) {
+
+  "use strict"; // jshint ;_;
+
+
+ /* DROPDOWN CLASS DEFINITION
+  * ========================= */
+
+  var toggle = '[data-toggle=dropdown]'
+    , Dropdown = function (element) {
+        var $el = $(element).on('click.dropdown.data-api', this.toggle)
+        $('html').on('click.dropdown.data-api', function () {
+          $el.parent().removeClass('open')
+        })
+      }
+
+  Dropdown.prototype = {
+
+    constructor: Dropdown
+
+  , toggle: function (e) {
+      var $this = $(this)
+        , $parent
+        , isActive
+
+      if ($this.is('.disabled, :disabled')) return
+
+      $parent = getParent($this)
+
+      isActive = $parent.hasClass('open')
+
+      clearMenus()
+
+      if (!isActive) {
+        if ('ontouchstart' in document.documentElement) {
+          // if mobile we we use a backdrop because click events don't delegate
+          $('<div class="dropdown-backdrop"/>').insertBefore($(this)).on('click', clearMenus)
+        }
+        $parent.toggleClass('open')
+      }
+
+      $this.focus()
+
+      return false
+    }
+
+  , keydown: function (e) {
+      var $this
+        , $items
+        , $active
+        , $parent
+        , isActive
+        , index
+
+      if (!/(38|40|27)/.test(e.keyCode)) return
+
+      $this = $(this)
+
+      e.preventDefault()
+      e.stopPropagation()
+
+      if ($this.is('.disabled, :disabled')) return
+
+      $parent = getParent($this)
+
+      isActive = $parent.hasClass('open')
+
+      if (!isActive || (isActive && e.keyCode == 27)) {
+        if (e.which == 27) $parent.find(toggle).focus()
+        return $this.click()
+      }
+
+      $items = $('[role=menu] li:not(.divider):visible a', $parent)
+
+      if (!$items.length) return
+
+      index = $items.index($items.filter(':focus'))
+
+      if (e.keyCode == 38 && index > 0) index--                                        // up
+      if (e.keyCode == 40 && index < $items.length - 1) index++                        // down
+      if (!~index) index = 0
+
+      $items
+        .eq(index)
+        .focus()
+    }
+
+  }
+
+  function clearMenus() {
+    $('.dropdown-backdrop').remove()
+    $(toggle).each(function () {
+      getParent($(this)).removeClass('open')
+    })
+  }
+
+  function getParent($this) {
+    var selector = $this.attr('data-target')
+      , $parent
+
+    if (!selector) {
+      selector = $this.attr('href')
+      selector = selector && /#/.test(selector) && selector.replace(/.*(?=#[^\s]*$)/, '') //strip for ie7
+    }
+
+    $parent = selector && $(selector)
+
+    if (!$parent || !$parent.length) $parent = $this.parent()
+
+    return $parent
+  }
+
+
+  /* DROPDOWN PLUGIN DEFINITION
+   * ========================== */
+
+  var old = $.fn.dropdown
+
+  $.fn.dropdown = function (option) {
+    return this.each(function () {
+      var $this = $(this)
+        , data = $this.data('dropdown')
+      if (!data) $this.data('dropdown', (data = new Dropdown(this)))
+      if (typeof option == 'string') data[option].call($this)
+    })
+  }
+
+  $.fn.dropdown.Constructor = Dropdown
+
+
+ /* DROPDOWN NO CONFLICT
+  * ==================== */
+
+  $.fn.dropdown.noConflict = function () {
+    $.fn.dropdown = old
+    return this
+  }
+
+
+  /* APPLY TO STANDARD DROPDOWN ELEMENTS
+   * =================================== */
+
+  $(document)
+    .on('click.dropdown.data-api', clearMenus)
+    .on('click.dropdown.data-api', '.dropdown form', function (e) { e.stopPropagation() })
+    .on('click.dropdown.data-api'  , toggle, Dropdown.prototype.toggle)
+    .on('keydown.dropdown.data-api', toggle + ', [role=menu]' , Dropdown.prototype.keydown)
+
+}(window.$jqTheme || window.jQuery);
+/* =========================================================
+ * bootstrap-modal.js v2.3.2
+ * http://twitter.github.com/bootstrap/javascript.html#modals
+ * =========================================================
+ * Copyright 2012 Twitter, Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ * ========================================================= */
+
+
+!function ($) {
+
+  "use strict"; // jshint ;_;
+
+
+ /* MODAL CLASS DEFINITION
+  * ====================== */
+
+  var Modal = function (element, options) {
+    this.options = options
+    this.$element = $(element)
+      .delegate('[data-dismiss="modal"]', 'click.dismiss.modal', $.proxy(this.hide, this))
+    this.options.remote && this.$element.find('.modal-body').load(this.options.remote)
+  }
+
+  Modal.prototype = {
+
+      constructor: Modal
+
+    , toggle: function () {
+        return this[!this.isShown ? 'show' : 'hide']()
+      }
+
+    , show: function () {
+        var that = this
+          , e = $.Event('show')
+
+        this.$element.trigger(e)
+
+        if (this.isShown || e.isDefaultPrevented()) return
+
+        this.isShown = true
+
+        this.escape()
+
+        this.backdrop(function () {
+          var transition = $.support.transition && that.$element.hasClass('fade')
+
+          if (!that.$element.parent().length) {
+            that.$element.appendTo(document.body) //don't move modals dom position
+          }
+
+          that.$element.show()
+
+          if (transition) {
+            that.$element[0].offsetWidth // force reflow
+          }
+
+          that.$element
+            .addClass('in')
+            .attr('aria-hidden', false)
+
+          that.enforceFocus()
+
+          transition ?
+            that.$element.one($.support.transition.end, function () { that.$element.focus().trigger('shown') }) :
+            that.$element.focus().trigger('shown')
+
+        })
+      }
+
+    , hide: function (e) {
+        e && e.preventDefault()
+
+        var that = this
+
+        e = $.Event('hide')
+
+        this.$element.trigger(e)
+
+        if (!this.isShown || e.isDefaultPrevented()) return
+
+        this.isShown = false
+
+        this.escape()
+
+        $(document).off('focusin.modal')
+
+        this.$element
+          .removeClass('in')
+          .attr('aria-hidden', true)
+
+        $.support.transition && this.$element.hasClass('fade') ?
+          this.hideWithTransition() :
+          this.hideModal()
+      }
+
+    , enforceFocus: function () {
+        var that = this
+        $(document).on('focusin.modal', function (e) {
+          if (that.$element[0] !== e.target && !that.$element.has(e.target).length) {
+            that.$element.focus()
+          }
+        })
+      }
+
+    , escape: function () {
+        var that = this
+        if (this.isShown && this.options.keyboard) {
+          this.$element.on('keyup.dismiss.modal', function ( e ) {
+            e.which == 27 && that.hide()
+          })
+        } else if (!this.isShown) {
+          this.$element.off('keyup.dismiss.modal')
+        }
+      }
+
+    , hideWithTransition: function () {
+        var that = this
+          , timeout = setTimeout(function () {
+              that.$element.off($.support.transition.end)
+              that.hideModal()
+            }, 500)
+
+        this.$element.one($.support.transition.end, function () {
+          clearTimeout(timeout)
+          that.hideModal()
+        })
+      }
+
+    , hideModal: function () {
+        var that = this
+        this.$element.hide()
+        this.backdrop(function () {
+          that.removeBackdrop()
+          that.$element.trigger('hidden')
+        })
+      }
+
+    , removeBackdrop: function () {
+        this.$backdrop && this.$backdrop.remove()
+        this.$backdrop = null
+      }
+
+    , backdrop: function (callback) {
+        var that = this
+          , animate = this.$element.hasClass('fade') ? 'fade' : ''
+
+        if (this.isShown && this.options.backdrop) {
+          var doAnimate = $.support.transition && animate
+
+          this.$backdrop = $('<div class="modal-backdrop ' + animate + '" />')
+            .appendTo(document.body)
+
+          this.$backdrop.click(
+            this.options.backdrop == 'static' ?
+              $.proxy(this.$element[0].focus, this.$element[0])
+            : $.proxy(this.hide, this)
+          )
+
+          if (doAnimate) this.$backdrop[0].offsetWidth // force reflow
+
+          this.$backdrop.addClass('in')
+
+          if (!callback) return
+
+          doAnimate ?
+            this.$backdrop.one($.support.transition.end, callback) :
+            callback()
+
+        } else if (!this.isShown && this.$backdrop) {
+          this.$backdrop.removeClass('in')
+
+          $.support.transition && this.$element.hasClass('fade')?
+            this.$backdrop.one($.support.transition.end, callback) :
+            callback()
+
+        } else if (callback) {
+          callback()
+        }
+      }
+  }
+
+
+ /* MODAL PLUGIN DEFINITION
+  * ======================= */
+
+  var old = $.fn.modal
+
+  $.fn.modal = function (option) {
+    return this.each(function () {
+      var $this = $(this)
+        , data = $this.data('modal')
+        , options = $.extend({}, $.fn.modal.defaults, $this.data(), typeof option == 'object' && option)
+      if (!data) $this.data('modal', (data = new Modal(this, options)))
+      if (typeof option == 'string') data[option]()
+      else if (options.show) data.show()
+    })
+  }
+
+  $.fn.modal.defaults = {
+      backdrop: true
+    , keyboard: true
+    , show: true
+  }
+
+  $.fn.modal.Constructor = Modal
+
+
+ /* MODAL NO CONFLICT
+  * ================= */
+
+  $.fn.modal.noConflict = function () {
+    $.fn.modal = old
+    return this
+  }
+
+
+ /* MODAL DATA-API
+  * ============== */
+
+  $(document).on('click.modal.data-api', '[data-toggle="modal"]', function (e) {
+    var $this = $(this)
+      , href = $this.attr('href')
+      , $target = $($this.attr('data-target') || (href && href.replace(/.*(?=#[^\s]+$)/, ''))) //strip for ie7
+      , option = $target.data('modal') ? 'toggle' : $.extend({ remote:!/#/.test(href) && href }, $target.data(), $this.data())
+
+    e.preventDefault()
+
+    $target
+      .modal(option)
+      .one('hide', function () {
+        $this.focus()
+      })
+  })
+
+}(window.$jqTheme || window.jQuery);
+/* ===========================================================
+ * bootstrap-tooltip.js v2.3.2
+ * http://twitter.github.com/bootstrap/javascript.html#tooltips
+ * Inspired by the original jQuery.tipsy by Jason Frame
+ * ===========================================================
+ * Copyright 2012 Twitter, Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ * ========================================================== */
+
+
+!function ($) {
+
+  "use strict"; // jshint ;_;
+
+
+ /* TOOLTIP PUBLIC CLASS DEFINITION
+  * =============================== */
+
+  var Tooltip = function (element, options) {
+    this.init('tooltip', element, options)
+  }
+
+  Tooltip.prototype = {
+
+    constructor: Tooltip
+
+  , init: function (type, element, options) {
+      var eventIn
+        , eventOut
+        , triggers
+        , trigger
+        , i
+
+      this.type = type
+      this.$element = $(element)
+      this.options = this.getOptions(options)
+      this.enabled = true
+
+      triggers = this.options.trigger.split(' ')
+
+      for (i = triggers.length; i--;) {
+        trigger = triggers[i]
+        if (trigger == 'click') {
+          this.$element.on('click.' + this.type, this.options.selector, $.proxy(this.toggle, this))
+        } else if (trigger != 'manual') {
+          eventIn = trigger == 'hover' ? 'mouseenter' : 'focus'
+          eventOut = trigger == 'hover' ? 'mouseleave' : 'blur'
+          this.$element.on(eventIn + '.' + this.type, this.options.selector, $.proxy(this.enter, this))
+          this.$element.on(eventOut + '.' + this.type, this.options.selector, $.proxy(this.leave, this))
+        }
+      }
+
+      this.options.selector ?
+        (this._options = $.extend({}, this.options, { trigger: 'manual', selector: '' })) :
+        this.fixTitle()
+    }
+
+  , getOptions: function (options) {
+      options = $.extend({}, $.fn[this.type].defaults, this.$element.data(), options)
+
+      if (options.delay && typeof options.delay == 'number') {
+        options.delay = {
+          show: options.delay
+        , hide: options.delay
+        }
+      }
+
+      return options
+    }
+
+  , enter: function (e) {
+      var defaults = $.fn[this.type].defaults
+        , options = {}
+        , self
+
+      this._options && $.each(this._options, function (key, value) {
+        if (defaults[key] != value) options[key] = value
+      }, this)
+
+      self = $(e.currentTarget)[this.type](options).data(this.type)
+
+      if (!self.options.delay || !self.options.delay.show) return self.show()
+
+      clearTimeout(this.timeout)
+      self.hoverState = 'in'
+      this.timeout = setTimeout(function() {
+        if (self.hoverState == 'in') self.show()
+      }, self.options.delay.show)
+    }
+
+  , leave: function (e) {
+      var self = $(e.currentTarget)[this.type](this._options).data(this.type)
+
+      if (this.timeout) clearTimeout(this.timeout)
+      if (!self.options.delay || !self.options.delay.hide) return self.hide()
+
+      self.hoverState = 'out'
+      this.timeout = setTimeout(function() {
+        if (self.hoverState == 'out') self.hide()
+      }, self.options.delay.hide)
+    }
+
+  , show: function () {
+      var $tip
+        , pos
+        , actualWidth
+        , actualHeight
+        , placement
+        , tp
+        , e = $.Event('show')
+
+      if (this.hasContent() && this.enabled) {
+        this.$element.trigger(e)
+        if (e.isDefaultPrevented()) return
+        $tip = this.tip()
+        this.setContent()
+
+        if (this.options.animation) {
+          $tip.addClass('fade')
+        }
+
+        placement = typeof this.options.placement == 'function' ?
+          this.options.placement.call(this, $tip[0], this.$element[0]) :
+          this.options.placement
+
+        $tip
+          .detach()
+          .css({ top: 0, left: 0, display: 'block' })
+
+        this.options.container ? $tip.appendTo(this.options.container) : $tip.insertAfter(this.$element)
+
+        pos = this.getPosition()
+
+        actualWidth = $tip[0].offsetWidth
+        actualHeight = $tip[0].offsetHeight
+
+        switch (placement) {
+          case 'bottom':
+            tp = {top: pos.top + pos.height, left: pos.left + pos.width / 2 - actualWidth / 2}
+            break
+          case 'top':
+            tp = {top: pos.top - actualHeight, left: pos.left + pos.width / 2 - actualWidth / 2}
+            break
+          case 'left':
+            tp = {top: pos.top + pos.height / 2 - actualHeight / 2, left: pos.left - actualWidth}
+            break
+          case 'right':
+            tp = {top: pos.top + pos.height / 2 - actualHeight / 2, left: pos.left + pos.width}
+            break
+        }
+
+        this.applyPlacement(tp, placement)
+        this.$element.trigger('shown')
+      }
+    }
+
+  , applyPlacement: function(offset, placement){
+      var $tip = this.tip()
+        , width = $tip[0].offsetWidth
+        , height = $tip[0].offsetHeight
+        , actualWidth
+        , actualHeight
+        , delta
+        , replace
+
+      $tip
+        .offset(offset)
+        .addClass(placement)
+        .addClass('in')
+
+      actualWidth = $tip[0].offsetWidth
+      actualHeight = $tip[0].offsetHeight
+
+      if (placement == 'top' && actualHeight != height) {
+        offset.top = offset.top + height - actualHeight
+        replace = true
+      }
+
+      if (placement == 'bottom' || placement == 'top') {
+        delta = 0
+
+        if (offset.left < 0){
+          delta = offset.left * -2
+          offset.left = 0
+          $tip.offset(offset)
+          actualWidth = $tip[0].offsetWidth
+          actualHeight = $tip[0].offsetHeight
+        }
+
+        this.replaceArrow(delta - width + actualWidth, actualWidth, 'left')
+      } else {
+        this.replaceArrow(actualHeight - height, actualHeight, 'top')
+      }
+
+      if (replace) $tip.offset(offset)
+    }
+
+  , replaceArrow: function(delta, dimension, position){
+      this
+        .arrow()
+        .css(position, delta ? (50 * (1 - delta / dimension) + "%") : '')
+    }
+
+  , setContent: function () {
+      var $tip = this.tip()
+        , title = this.getTitle()
+
+      $tip.find('.tooltip-inner')[this.options.html ? 'html' : 'text'](title)
+      $tip.removeClass('fade in top bottom left right')
+    }
+
+  , hide: function () {
+      var that = this
+        , $tip = this.tip()
+        , e = $.Event('hide')
+
+      this.$element.trigger(e)
+      if (e.isDefaultPrevented()) return
+
+      $tip.removeClass('in')
+
+      function removeWithAnimation() {
+        var timeout = setTimeout(function () {
+          $tip.off($.support.transition.end).detach()
+        }, 500)
+
+        $tip.one($.support.transition.end, function () {
+          clearTimeout(timeout)
+          $tip.detach()
+        })
+      }
+
+      $.support.transition && this.$tip.hasClass('fade') ?
+        removeWithAnimation() :
+        $tip.detach()
+
+      this.$element.trigger('hidden')
+
+      return this
+    }
+
+  , fixTitle: function () {
+      var $e = this.$element
+      if ($e.attr('title') || typeof($e.attr('data-original-title')) != 'string') {
+        $e.attr('data-original-title', $e.attr('title') || '').attr('title', '')
+      }
+    }
+
+  , hasContent: function () {
+      return this.getTitle()
+    }
+
+  , getPosition: function () {
+      var el = this.$element[0]
+      return $.extend({}, (typeof el.getBoundingClientRect == 'function') ? el.getBoundingClientRect() : {
+        width: el.offsetWidth
+      , height: el.offsetHeight
+      }, this.$element.offset())
+    }
+
+  , getTitle: function () {
+      var title
+        , $e = this.$element
+        , o = this.options
+
+      title = $e.attr('data-original-title')
+        || (typeof o.title == 'function' ? o.title.call($e[0]) :  o.title)
+
+      return title
+    }
+
+  , tip: function () {
+      return this.$tip = this.$tip || $(this.options.template)
+    }
+
+  , arrow: function(){
+      return this.$arrow = this.$arrow || this.tip().find(".tooltip-arrow")
+    }
+
+  , validate: function () {
+      if (!this.$element[0].parentNode) {
+        this.hide()
+        this.$element = null
+        this.options = null
+      }
+    }
+
+  , enable: function () {
+      this.enabled = true
+    }
+
+  , disable: function () {
+      this.enabled = false
+    }
+
+  , toggleEnabled: function () {
+      this.enabled = !this.enabled
+    }
+
+  , toggle: function (e) {
+      var self = e ? $(e.currentTarget)[this.type](this._options).data(this.type) : this
+      self.tip().hasClass('in') ? self.hide() : self.show()
+    }
+
+  , destroy: function () {
+      this.hide().$element.off('.' + this.type).removeData(this.type)
+    }
+
+  }
+
+
+ /* TOOLTIP PLUGIN DEFINITION
+  * ========================= */
+
+  var old = $.fn.tooltip
+
+  $.fn.tooltip = function ( option ) {
+    return this.each(function () {
+      var $this = $(this)
+        , data = $this.data('tooltip')
+        , options = typeof option == 'object' && option
+      if (!data) $this.data('tooltip', (data = new Tooltip(this, options)))
+      if (typeof option == 'string') data[option]()
+    })
+  }
+
+  $.fn.tooltip.Constructor = Tooltip
+
+  $.fn.tooltip.defaults = {
+    animation: true
+  , placement: 'top'
+  , selector: false
+  , template: '<div class="tooltip"><div class="tooltip-arrow"></div><div class="tooltip-inner"></div></div>'
+  , trigger: 'hover focus'
+  , title: ''
+  , delay: 0
+  , html: false
+  , container: false
+  }
+
+
+ /* TOOLTIP NO CONFLICT
+  * =================== */
+
+  $.fn.tooltip.noConflict = function () {
+    $.fn.tooltip = old
+    return this
+  }
+
+}(window.$jqTheme || window.jQuery);
+/* ===========================================================
+ * bootstrap-popover.js v2.3.2
+ * http://twitter.github.com/bootstrap/javascript.html#popovers
+ * ===========================================================
+ * Copyright 2012 Twitter, Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ * =========================================================== */
+
+
+!function ($) {
+
+  "use strict"; // jshint ;_;
+
+
+ /* POPOVER PUBLIC CLASS DEFINITION
+  * =============================== */
+
+  var Popover = function (element, options) {
+    this.init('popover', element, options)
+  }
+
+
+  /* NOTE: POPOVER EXTENDS BOOTSTRAP-TOOLTIP.js
+     ========================================== */
+
+  Popover.prototype = $.extend({}, $.fn.tooltip.Constructor.prototype, {
+
+    constructor: Popover
+
+  , setContent: function () {
+      var $tip = this.tip()
+        , title = this.getTitle()
+        , content = this.getContent()
+
+      $tip.find('.popover-title')[this.options.html ? 'html' : 'text'](title)
+      $tip.find('.popover-content')[this.options.html ? 'html' : 'text'](content)
+
+      $tip.removeClass('fade top bottom left right in')
+    }
+
+  , hasContent: function () {
+      return this.getTitle() || this.getContent()
+    }
+
+  , getContent: function () {
+      var content
+        , $e = this.$element
+        , o = this.options
+
+      content = (typeof o.content == 'function' ? o.content.call($e[0]) :  o.content)
+        || $e.attr('data-content')
+
+      return content
+    }
+
+  , tip: function () {
+      if (!this.$tip) {
+        this.$tip = $(this.options.template)
+      }
+      return this.$tip
+    }
+
+  , destroy: function () {
+      this.hide().$element.off('.' + this.type).removeData(this.type)
+    }
+
+  })
+
+
+ /* POPOVER PLUGIN DEFINITION
+  * ======================= */
+
+  var old = $.fn.popover
+
+  $.fn.popover = function (option) {
+    return this.each(function () {
+      var $this = $(this)
+        , data = $this.data('popover')
+        , options = typeof option == 'object' && option
+      if (!data) $this.data('popover', (data = new Popover(this, options)))
+      if (typeof option == 'string') data[option]()
+    })
+  }
+
+  $.fn.popover.Constructor = Popover
+
+  $.fn.popover.defaults = $.extend({} , $.fn.tooltip.defaults, {
+    placement: 'right'
+  , trigger: 'click'
+  , content: ''
+  , template: '<div class="popover"><div class="arrow"></div><h3 class="popover-title"></h3><div class="popover-content"></div></div>'
+  })
+
+
+ /* POPOVER NO CONFLICT
+  * =================== */
+
+  $.fn.popover.noConflict = function () {
+    $.fn.popover = old
+    return this
+  }
+
+}(window.$jqTheme || window.jQuery);
+/* =============================================================
+ * bootstrap-scrollspy.js v2.3.2
+ * http://twitter.github.com/bootstrap/javascript.html#scrollspy
+ * =============================================================
+ * Copyright 2012 Twitter, Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ * ============================================================== */
+
+
+!function ($) {
+
+  "use strict"; // jshint ;_;
+
+
+ /* SCROLLSPY CLASS DEFINITION
+  * ========================== */
+
+  function ScrollSpy(element, options) {
+    var process = $.proxy(this.process, this)
+      , $element = $(element).is('body') ? $(window) : $(element)
+      , href
+    this.options = $.extend({}, $.fn.scrollspy.defaults, options)
+    this.$scrollElement = $element.on('scroll.scroll-spy.data-api', process)
+    this.selector = (this.options.target
+      || ((href = $(element).attr('href')) && href.replace(/.*(?=#[^\s]+$)/, '')) //strip for ie7
+      || '') + ' .nav li > a'
+    this.$body = $('body')
+    this.refresh()
+    this.process()
+  }
+
+  ScrollSpy.prototype = {
+
+      constructor: ScrollSpy
+
+    , refresh: function () {
+        var self = this
+          , $targets
+
+        this.offsets = $([])
+        this.targets = $([])
+
+        $targets = this.$body
+          .find(this.selector)
+          .map(function () {
+            var $el = $(this)
+              , href = $el.data('target') || $el.attr('href')
+              , $href = /^#\w/.test(href) && $(href)
+            return ( $href
+              && $href.length
+              && [[ $href.position().top + (!$.isWindow(self.$scrollElement.get(0)) && self.$scrollElement.scrollTop()), href ]] ) || null
+          })
+          .sort(function (a, b) { return a[0] - b[0] })
+          .each(function () {
+            self.offsets.push(this[0])
+            self.targets.push(this[1])
+          })
+      }
+
+    , process: function () {
+        var scrollTop = this.$scrollElement.scrollTop() + this.options.offset
+          , scrollHeight = this.$scrollElement[0].scrollHeight || this.$body[0].scrollHeight
+          , maxScroll = scrollHeight - this.$scrollElement.height()
+          , offsets = this.offsets
+          , targets = this.targets
+          , activeTarget = this.activeTarget
+          , i
+
+        if (scrollTop >= maxScroll) {
+          return activeTarget != (i = targets.last()[0])
+            && this.activate ( i )
+        }
+
+        for (i = offsets.length; i--;) {
+          activeTarget != targets[i]
+            && scrollTop >= offsets[i]
+            && (!offsets[i + 1] || scrollTop <= offsets[i + 1])
+            && this.activate( targets[i] )
+        }
+      }
+
+    , activate: function (target) {
+        var active
+          , selector
+
+        this.activeTarget = target
+
+        $(this.selector)
+          .parent('.active')
+          .removeClass('active')
+
+        selector = this.selector
+          + '[data-target="' + target + '"],'
+          + this.selector + '[href="' + target + '"]'
+
+        active = $(selector)
+          .parent('li')
+          .addClass('active')
+
+        if (active.parent('.dropdown-menu').length)  {
+          active = active.closest('li.dropdown').addClass('active')
+        }
+
+        active.trigger('activate')
+      }
+
+  }
+
+
+ /* SCROLLSPY PLUGIN DEFINITION
+  * =========================== */
+
+  var old = $.fn.scrollspy
+
+  $.fn.scrollspy = function (option) {
+    return this.each(function () {
+      var $this = $(this)
+        , data = $this.data('scrollspy')
+        , options = typeof option == 'object' && option
+      if (!data) $this.data('scrollspy', (data = new ScrollSpy(this, options)))
+      if (typeof option == 'string') data[option]()
+    })
+  }
+
+  $.fn.scrollspy.Constructor = ScrollSpy
+
+  $.fn.scrollspy.defaults = {
+    offset: 10
+  }
+
+
+ /* SCROLLSPY NO CONFLICT
+  * ===================== */
+
+  $.fn.scrollspy.noConflict = function () {
+    $.fn.scrollspy = old
+    return this
+  }
+
+
+ /* SCROLLSPY DATA-API
+  * ================== */
+
+  $(window).on('load', function () {
+    $('[data-spy="scroll"]').each(function () {
+      var $spy = $(this)
+      $spy.scrollspy($spy.data())
+    })
+  })
+
+}(window.$jqTheme || window.jQuery);
+/* ========================================================
+ * bootstrap-tab.js v2.3.2
+ * http://twitter.github.com/bootstrap/javascript.html#tabs
+ * ========================================================
+ * Copyright 2012 Twitter, Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ * ======================================================== */
+
+
+!function ($) {
+
+  "use strict"; // jshint ;_;
+
+
+ /* TAB CLASS DEFINITION
+  * ==================== */
+
+  var Tab = function (element) {
+    this.element = $(element)
+  }
+
+  Tab.prototype = {
+
+    constructor: Tab
+
+  , show: function () {
+      var $this = this.element
+        , $ul = $this.closest('ul:not(.dropdown-menu)')
+        , selector = $this.attr('data-target')
+        , previous
+        , $target
+        , e
+
+      if (!selector) {
+        selector = $this.attr('href')
+        selector = selector && selector.replace(/.*(?=#[^\s]*$)/, '') //strip for ie7
+      }
+
+      if ( $this.parent('li').hasClass('active') ) return
+
+      previous = $ul.find('.active:last a')[0]
+
+      e = $.Event('show', {
+        relatedTarget: previous
+      })
+
+      $this.trigger(e)
+
+      if (e.isDefaultPrevented()) return
+
+      $target = $(selector)
+
+      this.activate($this.parent('li'), $ul)
+      this.activate($target, $target.parent(), function () {
+        $this.trigger({
+          type: 'shown'
+        , relatedTarget: previous
+        })
+      })
+    }
+
+  , activate: function ( element, container, callback) {
+      var $active = container.find('> .active')
+        , transition = callback
+            && $.support.transition
+            && $active.hasClass('fade')
+
+      function next() {
+        $active
+          .removeClass('active')
+          .find('> .dropdown-menu > .active')
+          .removeClass('active')
+
+        element.addClass('active')
+
+        if (transition) {
+          element[0].offsetWidth // reflow for transition
+          element.addClass('in')
+        } else {
+          element.removeClass('fade')
+        }
+
+        if ( element.parent('.dropdown-menu') ) {
+          element.closest('li.dropdown').addClass('active')
+        }
+
+        callback && callback()
+      }
+
+      transition ?
+        $active.one($.support.transition.end, next) :
+        next()
+
+      $active.removeClass('in')
+    }
+  }
+
+
+ /* TAB PLUGIN DEFINITION
+  * ===================== */
+
+  var old = $.fn.tab
+
+  $.fn.tab = function ( option ) {
+    return this.each(function () {
+      var $this = $(this)
+        , data = $this.data('tab')
+      if (!data) $this.data('tab', (data = new Tab(this)))
+      if (typeof option == 'string') data[option]()
+    })
+  }
+
+  $.fn.tab.Constructor = Tab
+
+
+ /* TAB NO CONFLICT
+  * =============== */
+
+  $.fn.tab.noConflict = function () {
+    $.fn.tab = old
+    return this
+  }
+
+
+ /* TAB DATA-API
+  * ============ */
+
+  $(document).on('click.tab.data-api', '[data-toggle="tab"], [data-toggle="pill"]', function (e) {
+    e.preventDefault()
+    $(this).tab('show')
+  })
+
+}(window.$jqTheme || window.jQuery);
+/* =============================================================
+ * bootstrap-typeahead.js v2.3.2
+ * http://twitter.github.com/bootstrap/javascript.html#typeahead
+ * =============================================================
+ * Copyright 2012 Twitter, Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ * ============================================================ */
+
+
+!function($){
+
+  "use strict"; // jshint ;_;
+
+
+ /* TYPEAHEAD PUBLIC CLASS DEFINITION
+  * ================================= */
+
+  var Typeahead = function (element, options) {
+    this.$element = $(element)
+    this.options = $.extend({}, $.fn.typeahead.defaults, options)
+    this.matcher = this.options.matcher || this.matcher
+    this.sorter = this.options.sorter || this.sorter
+    this.highlighter = this.options.highlighter || this.highlighter
+    this.updater = this.options.updater || this.updater
+    this.source = this.options.source
+    this.$menu = $(this.options.menu)
+    this.shown = false
+    this.listen()
+  }
+
+  Typeahead.prototype = {
+
+    constructor: Typeahead
+
+  , select: function () {
+      var val = this.$menu.find('.active').attr('data-value')
+      this.$element
+        .val(this.updater(val))
+        .change()
+      return this.hide()
+    }
+
+  , updater: function (item) {
+      return item
+    }
+
+  , show: function () {
+      var pos = $.extend({}, this.$element.position(), {
+        height: this.$element[0].offsetHeight
+      })
+
+      this.$menu
+        .insertAfter(this.$element)
+        .css({
+          top: pos.top + pos.height
+        , left: pos.left
+        })
+        .show()
+
+      this.shown = true
+      return this
+    }
+
+  , hide: function () {
+      this.$menu.hide()
+      this.shown = false
+      return this
+    }
+
+  , lookup: function (event) {
+      var items
+
+      this.query = this.$element.val()
+
+      if (!this.query || this.query.length < this.options.minLength) {
+        return this.shown ? this.hide() : this
+      }
+
+      items = $.isFunction(this.source) ? this.source(this.query, $.proxy(this.process, this)) : this.source
+
+      return items ? this.process(items) : this
+    }
+
+  , process: function (items) {
+      var that = this
+
+      items = $.grep(items, function (item) {
+        return that.matcher(item)
+      })
+
+      items = this.sorter(items)
+
+      if (!items.length) {
+        return this.shown ? this.hide() : this
+      }
+
+      return this.render(items.slice(0, this.options.items)).show()
+    }
+
+  , matcher: function (item) {
+      return ~item.toLowerCase().indexOf(this.query.toLowerCase())
+    }
+
+  , sorter: function (items) {
+      var beginswith = []
+        , caseSensitive = []
+        , caseInsensitive = []
+        , item
+
+      while (item = items.shift()) {
+        if (!item.toLowerCase().indexOf(this.query.toLowerCase())) beginswith.push(item)
+        else if (~item.indexOf(this.query)) caseSensitive.push(item)
+        else caseInsensitive.push(item)
+      }
+
+      return beginswith.concat(caseSensitive, caseInsensitive)
+    }
+
+  , highlighter: function (item) {
+      var query = this.query.replace(/[\-\[\]{}()*+?.,\\\^$|#\s]/g, '\\$&')
+      return item.replace(new RegExp('(' + query + ')', 'ig'), function ($1, match) {
+        return '<strong>' + match + '</strong>'
+      })
+    }
+
+  , render: function (items) {
+      var that = this
+
+      items = $(items).map(function (i, item) {
+        i = $(that.options.item).attr('data-value', item)
+        i.find('a').html(that.highlighter(item))
+        return i[0]
+      })
+
+      items.first().addClass('active')
+      this.$menu.html(items)
+      return this
+    }
+
+  , next: function (event) {
+      var active = this.$menu.find('.active').removeClass('active')
+        , next = active.next()
+
+      if (!next.length) {
+        next = $(this.$menu.find('li')[0])
+      }
+
+      next.addClass('active')
+    }
+
+  , prev: function (event) {
+      var active = this.$menu.find('.active').removeClass('active')
+        , prev = active.prev()
+
+      if (!prev.length) {
+        prev = this.$menu.find('li').last()
+      }
+
+      prev.addClass('active')
+    }
+
+  , listen: function () {
+      this.$element
+        .on('focus',    $.proxy(this.focus, this))
+        .on('blur',     $.proxy(this.blur, this))
+        .on('keypress', $.proxy(this.keypress, this))
+        .on('keyup',    $.proxy(this.keyup, this))
+
+      if (this.eventSupported('keydown')) {
+        this.$element.on('keydown', $.proxy(this.keydown, this))
+      }
+
+      this.$menu
+        .on('click', $.proxy(this.click, this))
+        .on('mouseenter', 'li', $.proxy(this.mouseenter, this))
+        .on('mouseleave', 'li', $.proxy(this.mouseleave, this))
+    }
+
+  , eventSupported: function(eventName) {
+      var isSupported = eventName in this.$element
+      if (!isSupported) {
+        this.$element.setAttribute(eventName, 'return;')
+        isSupported = typeof this.$element[eventName] === 'function'
+      }
+      return isSupported
+    }
+
+  , move: function (e) {
+      if (!this.shown) return
+
+      switch(e.keyCode) {
+        case 9: // tab
+        case 13: // enter
+        case 27: // escape
+          e.preventDefault()
+          break
+
+        case 38: // up arrow
+          e.preventDefault()
+          this.prev()
+          break
+
+        case 40: // down arrow
+          e.preventDefault()
+          this.next()
+          break
+      }
+
+      e.stopPropagation()
+    }
+
+  , keydown: function (e) {
+      this.suppressKeyPressRepeat = ~$.inArray(e.keyCode, [40,38,9,13,27])
+      this.move(e)
+    }
+
+  , keypress: function (e) {
+      if (this.suppressKeyPressRepeat) return
+      this.move(e)
+    }
+
+  , keyup: function (e) {
+      switch(e.keyCode) {
+        case 40: // down arrow
+        case 38: // up arrow
+        case 16: // shift
+        case 17: // ctrl
+        case 18: // alt
+          break
+
+        case 9: // tab
+        case 13: // enter
+          if (!this.shown) return
+          this.select()
+          break
+
+        case 27: // escape
+          if (!this.shown) return
+          this.hide()
+          break
+
+        default:
+          this.lookup()
+      }
+
+      e.stopPropagation()
+      e.preventDefault()
+  }
+
+  , focus: function (e) {
+      this.focused = true
+    }
+
+  , blur: function (e) {
+      this.focused = false
+      if (!this.mousedover && this.shown) this.hide()
+    }
+
+  , click: function (e) {
+      e.stopPropagation()
+      e.preventDefault()
+      this.select()
+      this.$element.focus()
+    }
+
+  , mouseenter: function (e) {
+      this.mousedover = true
+      this.$menu.find('.active').removeClass('active')
+      $(e.currentTarget).addClass('active')
+    }
+
+  , mouseleave: function (e) {
+      this.mousedover = false
+      if (!this.focused && this.shown) this.hide()
+    }
+
+  }
+
+
+  /* TYPEAHEAD PLUGIN DEFINITION
+   * =========================== */
+
+  var old = $.fn.typeahead
+
+  $.fn.typeahead = function (option) {
+    return this.each(function () {
+      var $this = $(this)
+        , data = $this.data('typeahead')
+        , options = typeof option == 'object' && option
+      if (!data) $this.data('typeahead', (data = new Typeahead(this, options)))
+      if (typeof option == 'string') data[option]()
+    })
+  }
+
+  $.fn.typeahead.defaults = {
+    source: []
+  , items: 8
+  , menu: '<ul class="typeahead dropdown-menu"></ul>'
+  , item: '<li><a href="#"></a></li>'
+  , minLength: 1
+  }
+
+  $.fn.typeahead.Constructor = Typeahead
+
+
+ /* TYPEAHEAD NO CONFLICT
+  * =================== */
+
+  $.fn.typeahead.noConflict = function () {
+    $.fn.typeahead = old
+    return this
+  }
+
+
+ /* TYPEAHEAD DATA-API
+  * ================== */
+
+  $(document).on('focus.typeahead.data-api', '[data-provide="typeahead"]', function (e) {
+    var $this = $(this)
+    if ($this.data('typeahead')) return
+    $this.typeahead($this.data())
+  })
+
+}(window.$jqTheme || window.jQuery);
+/* ==========================================================
+ * bootstrap-affix.js v2.3.2
+ * http://twitter.github.com/bootstrap/javascript.html#affix
+ * ==========================================================
+ * Copyright 2012 Twitter, Inc.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ * ========================================================== */
+
+
+!function ($) {
+
+  "use strict"; // jshint ;_;
+
+
+ /* AFFIX CLASS DEFINITION
+  * ====================== */
+
+  var Affix = function (element, options) {
+    this.options = $.extend({}, $.fn.affix.defaults, options)
+    this.$window = $(window)
+      .on('scroll.affix.data-api', $.proxy(this.checkPosition, this))
+      .on('click.affix.data-api',  $.proxy(function () { setTimeout($.proxy(this.checkPosition, this), 1) }, this))
+    this.$element = $(element)
+    this.checkPosition()
+  }
+
+  Affix.prototype.checkPosition = function () {
+    if (!this.$element.is(':visible')) return
+
+    var scrollHeight = $(document).height()
+      , scrollTop = this.$window.scrollTop()
+      , position = this.$element.offset()
+      , offset = this.options.offset
+      , offsetBottom = offset.bottom
+      , offsetTop = offset.top
+      , reset = 'affix affix-top affix-bottom'
+      , affix
+
+    if (typeof offset != 'object') offsetBottom = offsetTop = offset
+    if (typeof offsetTop == 'function') offsetTop = offset.top()
+    if (typeof offsetBottom == 'function') offsetBottom = offset.bottom()
+
+    affix = this.unpin != null && (scrollTop + this.unpin <= position.top) ?
+      false    : offsetBottom != null && (position.top + this.$element.height() >= scrollHeight - offsetBottom) ?
+      'bottom' : offsetTop != null && scrollTop <= offsetTop ?
+      'top'    : false
+
+    if (this.affixed === affix) return
+
+    this.affixed = affix
+    this.unpin = affix == 'bottom' ? position.top - scrollTop : null
+
+    this.$element.removeClass(reset).addClass('affix' + (affix ? '-' + affix : ''))
+  }
+
+
+ /* AFFIX PLUGIN DEFINITION
+  * ======================= */
+
+  var old = $.fn.affix
+
+  $.fn.affix = function (option) {
+    return this.each(function () {
+      var $this = $(this)
+        , data = $this.data('affix')
+        , options = typeof option == 'object' && option
+      if (!data) $this.data('affix', (data = new Affix(this, options)))
+      if (typeof option == 'string') data[option]()
+    })
+  }
+
+  $.fn.affix.Constructor = Affix
+
+  $.fn.affix.defaults = {
+    offset: 0
+  }
+
+
+ /* AFFIX NO CONFLICT
+  * ================= */
+
+  $.fn.affix.noConflict = function () {
+    $.fn.affix = old
+    return this
+  }
+
+
+ /* AFFIX DATA-API
+  * ============== */
+
+  $(window).on('load', function () {
+    $('[data-spy="affix"]').each(function () {
+      var $spy = $(this)
+        , data = $spy.data()
+
+      data.offset = data.offset || {}
+
+      data.offsetBottom && (data.offset.bottom = data.offsetBottom)
+      data.offsetTop && (data.offset.top = data.offsetTop)
+
+      $spy.affix(data)
+    })
+  })
+
+
+}(window.$jqTheme || window.jQuery);
diff --git a/trackpy/v0.6.2/_static/bootstrap-2.3.2/js/bootstrap.min.js b/trackpy/v0.6.2/_static/bootstrap-2.3.2/js/bootstrap.min.js
new file mode 100644
index 00000000..3a3394bd
--- /dev/null
+++ b/trackpy/v0.6.2/_static/bootstrap-2.3.2/js/bootstrap.min.js
@@ -0,0 +1,6 @@
+/**
+* Bootstrap.js v2.3.2 by @fat & @mdo
+* Copyright 2012 Twitter, Inc.
+* http://www.apache.org/licenses/LICENSE-2.0.txt
+*/
+!function(e){"use strict";e(function(){e.support.transition=function(){var e=function(){var e=document.createElement("bootstrap"),t={WebkitTransition:"webkitTransitionEnd",MozTransition:"transitionend",OTransition:"oTransitionEnd otransitionend",transition:"transitionend"},n;for(n in t)if(e.style[n]!==undefined)return t[n]}();return e&&{end:e}}()})}(window.$jqTheme||window.jQuery),!function(e){"use strict";var t='[data-dismiss="alert"]',n=function(n){e(n).on("click",t,this.close)};n.prototype.close=function(t){function s(){i.trigger("closed").remove()}var n=e(this),r=n.attr("data-target"),i;r||(r=n.attr("href"),r=r&&r.replace(/.*(?=#[^\s]*$)/,"")),i=e(r),t&&t.preventDefault(),i.length||(i=n.hasClass("alert")?n:n.parent()),i.trigger(t=e.Event("close"));if(t.isDefaultPrevented())return;i.removeClass("in"),e.support.transition&&i.hasClass("fade")?i.on(e.support.transition.end,s):s()};var r=e.fn.alert;e.fn.alert=function(t){return this.each(function(){var r=e(this),i=r.data("alert");i||r.data("alert",i=new n(this)),typeof t=="string"&&i[t].call(r)})},e.fn.alert.Constructor=n,e.fn.alert.noConflict=function(){return e.fn.alert=r,this},e(document).on("click.alert.data-api",t,n.prototype.close)}(window.$jqTheme||window.jQuery),!function(e){"use strict";var t=function(t,n){this.$element=e(t),this.options=e.extend({},e.fn.button.defaults,n)};t.prototype.setState=function(e){var t="disabled",n=this.$element,r=n.data(),i=n.is("input")?"val":"html";e+="Text",r.resetText||n.data("resetText",n[i]()),n[i](r[e]||this.options[e]),setTimeout(function(){e=="loadingText"?n.addClass(t).attr(t,t):n.removeClass(t).removeAttr(t)},0)},t.prototype.toggle=function(){var e=this.$element.closest('[data-toggle="buttons-radio"]');e&&e.find(".active").removeClass("active"),this.$element.toggleClass("active")};var n=e.fn.button;e.fn.button=function(n){return this.each(function(){var r=e(this),i=r.data("button"),s=typeof n=="object"&&n;i||r.data("button",i=new 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n=e(this),r,i=e(n.attr("data-target")||(r=n.attr("href"))&&r.replace(/.*(?=#[^\s]+$)/,"")),s=e.extend({},i.data(),n.data()),o;i.carousel(s),(o=n.attr("data-slide-to"))&&i.data("carousel").pause().to(o).cycle(),t.preventDefault()})}(window.$jqTheme||window.jQuery),!function(e){"use strict";var t=function(t,n){this.$element=e(t),this.options=e.extend({},e.fn.collapse.defaults,n),this.options.parent&&(this.$parent=e(this.options.parent)),this.options.toggle&&this.toggle()};t.prototype={constructor:t,dimension:function(){var e=this.$element.hasClass("width");return e?"width":"height"},show:function(){var t,n,r,i;if(this.transitioning||this.$element.hasClass("in"))return;t=this.dimension(),n=e.camelCase(["scroll",t].join("-")),r=this.$parent&&this.$parent.find("> .accordion-group > 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n.removeClass("in"),e.support.transition&&this.$tip.hasClass("fade")?i():n.detach(),this.$element.trigger("hidden"),this},fixTitle:function(){var e=this.$element;(e.attr("title")||typeof e.attr("data-original-title")!="string")&&e.attr("data-original-title",e.attr("title")||"").attr("title","")},hasContent:function(){return this.getTitle()},getPosition:function(){var t=this.$element[0];return e.extend({},typeof t.getBoundingClientRect=="function"?t.getBoundingClientRect():{width:t.offsetWidth,height:t.offsetHeight},this.$element.offset())},getTitle:function(){var e,t=this.$element,n=this.options;return e=t.attr("data-original-title")||(typeof n.title=="function"?n.title.call(t[0]):n.title),e},tip:function(){return this.$tip=this.$tip||e(this.options.template)},arrow:function(){return this.$arrow=this.$arrow||this.tip().find(".tooltip-arrow")},validate:function(){this.$element[0].parentNode||(this.hide(),this.$element=null,this.options=null)},enable:function(){this.enabled=!0},disable:function(){this.enabled=!1},toggleEnabled:function(){this.enabled=!this.enabled},toggle:function(t){var n=t?e(t.currentTarget)[this.type](this._options).data(this.type):this;n.tip().hasClass("in")?n.hide():n.show()},destroy:function(){this.hide().$element.off("."+this.type).removeData(this.type)}};var n=e.fn.tooltip;e.fn.tooltip=function(n){return this.each(function(){var r=e(this),i=r.data("tooltip"),s=typeof n=="object"&&n;i||r.data("tooltip",i=new t(this,s)),typeof n=="string"&&i[n]()})},e.fn.tooltip.Constructor=t,e.fn.tooltip.defaults={animation:!0,placement:"top",selector:!1,template:'<div class="tooltip"><div class="tooltip-arrow"></div><div class="tooltip-inner"></div></div>',trigger:"hover focus",title:"",delay:0,html:!1,container:!1},e.fn.tooltip.noConflict=function(){return e.fn.tooltip=n,this}}(window.$jqTheme||window.jQuery),!function(e){"use strict";var t=function(e,t){this.init("popover",e,t)};t.prototype=e.extend({},e.fn.tooltip.Constructor.prototype,{constructor:t,setContent:function(){var e=this.tip(),t=this.getTitle(),n=this.getContent();e.find(".popover-title")[this.options.html?"html":"text"](t),e.find(".popover-content")[this.options.html?"html":"text"](n),e.removeClass("fade top bottom left right in")},hasContent:function(){return this.getTitle()||this.getContent()},getContent:function(){var e,t=this.$element,n=this.options;return e=(typeof n.content=="function"?n.content.call(t[0]):n.content)||t.attr("data-content"),e},tip:function(){return this.$tip||(this.$tip=e(this.options.template)),this.$tip},destroy:function(){this.hide().$element.off("."+this.type).removeData(this.type)}});var n=e.fn.popover;e.fn.popover=function(n){return this.each(function(){var r=e(this),i=r.data("popover"),s=typeof n=="object"&&n;i||r.data("popover",i=new 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n=e.fn.scrollspy;e.fn.scrollspy=function(n){return this.each(function(){var r=e(this),i=r.data("scrollspy"),s=typeof n=="object"&&n;i||r.data("scrollspy",i=new t(this,s)),typeof n=="string"&&i[n]()})},e.fn.scrollspy.Constructor=t,e.fn.scrollspy.defaults={offset:10},e.fn.scrollspy.noConflict=function(){return e.fn.scrollspy=n,this},e(window).on("load",function(){e('[data-spy="scroll"]').each(function(){var t=e(this);t.scrollspy(t.data())})})}(window.$jqTheme||window.jQuery),!function(e){"use strict";var t=function(t){this.element=e(t)};t.prototype={constructor:t,show:function(){var t=this.element,n=t.closest("ul:not(.dropdown-menu)"),r=t.attr("data-target"),i,s,o;r||(r=t.attr("href"),r=r&&r.replace(/.*(?=#[^\s]*$)/,""));if(t.parent("li").hasClass("active"))return;i=n.find(".active:last 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\ No newline at end of file
diff --git a/trackpy/v0.6.2/_static/bootstrap-3.4.1/css/bootstrap-theme.css b/trackpy/v0.6.2/_static/bootstrap-3.4.1/css/bootstrap-theme.css
new file mode 100644
index 00000000..ea33f76a
--- /dev/null
+++ b/trackpy/v0.6.2/_static/bootstrap-3.4.1/css/bootstrap-theme.css
@@ -0,0 +1,587 @@
+/*!
+ * Bootstrap v3.4.1 (https://getbootstrap.com/)
+ * Copyright 2011-2019 Twitter, Inc.
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
+ */
+.btn-default,
+.btn-primary,
+.btn-success,
+.btn-info,
+.btn-warning,
+.btn-danger {
+  text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.2);
+  -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.15), 0 1px 1px rgba(0, 0, 0, 0.075);
+  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.15), 0 1px 1px rgba(0, 0, 0, 0.075);
+}
+.btn-default:active,
+.btn-primary:active,
+.btn-success:active,
+.btn-info:active,
+.btn-warning:active,
+.btn-danger:active,
+.btn-default.active,
+.btn-primary.active,
+.btn-success.active,
+.btn-info.active,
+.btn-warning.active,
+.btn-danger.active {
+  -webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
+  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
+}
+.btn-default.disabled,
+.btn-primary.disabled,
+.btn-success.disabled,
+.btn-info.disabled,
+.btn-warning.disabled,
+.btn-danger.disabled,
+.btn-default[disabled],
+.btn-primary[disabled],
+.btn-success[disabled],
+.btn-info[disabled],
+.btn-warning[disabled],
+.btn-danger[disabled],
+fieldset[disabled] .btn-default,
+fieldset[disabled] .btn-primary,
+fieldset[disabled] .btn-success,
+fieldset[disabled] .btn-info,
+fieldset[disabled] .btn-warning,
+fieldset[disabled] .btn-danger {
+  -webkit-box-shadow: none;
+  box-shadow: none;
+}
+.btn-default .badge,
+.btn-primary .badge,
+.btn-success .badge,
+.btn-info .badge,
+.btn-warning .badge,
+.btn-danger .badge {
+  text-shadow: none;
+}
+.btn:active,
+.btn.active {
+  background-image: none;
+}
+.btn-default {
+  background-image: -webkit-linear-gradient(top, #fff 0%, #e0e0e0 100%);
+  background-image: -o-linear-gradient(top, #fff 0%, #e0e0e0 100%);
+  background-image: -webkit-gradient(linear, left top, left bottom, from(#fff), to(#e0e0e0));
+  background-image: linear-gradient(to bottom, #fff 0%, #e0e0e0 100%);
+  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffffffff', endColorstr='#ffe0e0e0', GradientType=0);
+  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);
+  background-repeat: repeat-x;
+  border-color: #dbdbdb;
+  text-shadow: 0 1px 0 #fff;
+  border-color: #ccc;
+}
+.btn-default:hover,
+.btn-default:focus {
+  background-color: #e0e0e0;
+  background-position: 0 -15px;
+}
+.btn-default:active,
+.btn-default.active {
+  background-color: #e0e0e0;
+  border-color: #dbdbdb;
+}
+.btn-default.disabled,
+.btn-default[disabled],
+fieldset[disabled] .btn-default,
+.btn-default.disabled:hover,
+.btn-default[disabled]:hover,
+fieldset[disabled] .btn-default:hover,
+.btn-default.disabled:focus,
+.btn-default[disabled]:focus,
+fieldset[disabled] .btn-default:focus,
+.btn-default.disabled.focus,
+.btn-default[disabled].focus,
+fieldset[disabled] .btn-default.focus,
+.btn-default.disabled:active,
+.btn-default[disabled]:active,
+fieldset[disabled] .btn-default:active,
+.btn-default.disabled.active,
+.btn-default[disabled].active,
+fieldset[disabled] .btn-default.active {
+  background-color: #e0e0e0;
+  background-image: none;
+}
+.btn-primary {
+  background-image: -webkit-linear-gradient(top, #337ab7 0%, #265a88 100%);
+  background-image: -o-linear-gradient(top, #337ab7 0%, #265a88 100%);
+  background-image: -webkit-gradient(linear, left top, left bottom, from(#337ab7), to(#265a88));
+  background-image: linear-gradient(to bottom, #337ab7 0%, #265a88 100%);
+  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff265a88', GradientType=0);
+  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);
+  background-repeat: repeat-x;
+  border-color: #245580;
+}
+.btn-primary:hover,
+.btn-primary:focus {
+  background-color: #265a88;
+  background-position: 0 -15px;
+}
+.btn-primary:active,
+.btn-primary.active {
+  background-color: #265a88;
+  border-color: #245580;
+}
+.btn-primary.disabled,
+.btn-primary[disabled],
+fieldset[disabled] .btn-primary,
+.btn-primary.disabled:hover,
+.btn-primary[disabled]:hover,
+fieldset[disabled] .btn-primary:hover,
+.btn-primary.disabled:focus,
+.btn-primary[disabled]:focus,
+fieldset[disabled] .btn-primary:focus,
+.btn-primary.disabled.focus,
+.btn-primary[disabled].focus,
+fieldset[disabled] .btn-primary.focus,
+.btn-primary.disabled:active,
+.btn-primary[disabled]:active,
+fieldset[disabled] .btn-primary:active,
+.btn-primary.disabled.active,
+.btn-primary[disabled].active,
+fieldset[disabled] .btn-primary.active {
+  background-color: #265a88;
+  background-image: none;
+}
+.btn-success {
+  background-image: -webkit-linear-gradient(top, #5cb85c 0%, #419641 100%);
+  background-image: -o-linear-gradient(top, #5cb85c 0%, #419641 100%);
+  background-image: -webkit-gradient(linear, left top, left bottom, from(#5cb85c), to(#419641));
+  background-image: linear-gradient(to bottom, #5cb85c 0%, #419641 100%);
+  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff5cb85c', endColorstr='#ff419641', GradientType=0);
+  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);
+  background-repeat: repeat-x;
+  border-color: #3e8f3e;
+}
+.btn-success:hover,
+.btn-success:focus {
+  background-color: #419641;
+  background-position: 0 -15px;
+}
+.btn-success:active,
+.btn-success.active {
+  background-color: #419641;
+  border-color: #3e8f3e;
+}
+.btn-success.disabled,
+.btn-success[disabled],
+fieldset[disabled] .btn-success,
+.btn-success.disabled:hover,
+.btn-success[disabled]:hover,
+fieldset[disabled] .btn-success:hover,
+.btn-success.disabled:focus,
+.btn-success[disabled]:focus,
+fieldset[disabled] .btn-success:focus,
+.btn-success.disabled.focus,
+.btn-success[disabled].focus,
+fieldset[disabled] .btn-success.focus,
+.btn-success.disabled:active,
+.btn-success[disabled]:active,
+fieldset[disabled] .btn-success:active,
+.btn-success.disabled.active,
+.btn-success[disabled].active,
+fieldset[disabled] .btn-success.active {
+  background-color: #419641;
+  background-image: none;
+}
+.btn-info {
+  background-image: -webkit-linear-gradient(top, #5bc0de 0%, #2aabd2 100%);
+  background-image: -o-linear-gradient(top, #5bc0de 0%, #2aabd2 100%);
+  background-image: -webkit-gradient(linear, left top, left bottom, from(#5bc0de), to(#2aabd2));
+  background-image: linear-gradient(to bottom, #5bc0de 0%, #2aabd2 100%);
+  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff5bc0de', endColorstr='#ff2aabd2', GradientType=0);
+  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);
+  background-repeat: repeat-x;
+  border-color: #28a4c9;
+}
+.btn-info:hover,
+.btn-info:focus {
+  background-color: #2aabd2;
+  background-position: 0 -15px;
+}
+.btn-info:active,
+.btn-info.active {
+  background-color: #2aabd2;
+  border-color: #28a4c9;
+}
+.btn-info.disabled,
+.btn-info[disabled],
+fieldset[disabled] .btn-info,
+.btn-info.disabled:hover,
+.btn-info[disabled]:hover,
+fieldset[disabled] .btn-info:hover,
+.btn-info.disabled:focus,
+.btn-info[disabled]:focus,
+fieldset[disabled] .btn-info:focus,
+.btn-info.disabled.focus,
+.btn-info[disabled].focus,
+fieldset[disabled] .btn-info.focus,
+.btn-info.disabled:active,
+.btn-info[disabled]:active,
+fieldset[disabled] .btn-info:active,
+.btn-info.disabled.active,
+.btn-info[disabled].active,
+fieldset[disabled] .btn-info.active {
+  background-color: #2aabd2;
+  background-image: none;
+}
+.btn-warning {
+  background-image: -webkit-linear-gradient(top, #f0ad4e 0%, #eb9316 100%);
+  background-image: -o-linear-gradient(top, #f0ad4e 0%, #eb9316 100%);
+  background-image: -webkit-gradient(linear, left top, left bottom, from(#f0ad4e), to(#eb9316));
+  background-image: linear-gradient(to bottom, #f0ad4e 0%, #eb9316 100%);
+  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff0ad4e', endColorstr='#ffeb9316', GradientType=0);
+  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);
+  background-repeat: repeat-x;
+  border-color: #e38d13;
+}
+.btn-warning:hover,
+.btn-warning:focus {
+  background-color: #eb9316;
+  background-position: 0 -15px;
+}
+.btn-warning:active,
+.btn-warning.active {
+  background-color: #eb9316;
+  border-color: #e38d13;
+}
+.btn-warning.disabled,
+.btn-warning[disabled],
+fieldset[disabled] .btn-warning,
+.btn-warning.disabled:hover,
+.btn-warning[disabled]:hover,
+fieldset[disabled] .btn-warning:hover,
+.btn-warning.disabled:focus,
+.btn-warning[disabled]:focus,
+fieldset[disabled] .btn-warning:focus,
+.btn-warning.disabled.focus,
+.btn-warning[disabled].focus,
+fieldset[disabled] .btn-warning.focus,
+.btn-warning.disabled:active,
+.btn-warning[disabled]:active,
+fieldset[disabled] .btn-warning:active,
+.btn-warning.disabled.active,
+.btn-warning[disabled].active,
+fieldset[disabled] .btn-warning.active {
+  background-color: #eb9316;
+  background-image: none;
+}
+.btn-danger {
+  background-image: -webkit-linear-gradient(top, #d9534f 0%, #c12e2a 100%);
+  background-image: -o-linear-gradient(top, #d9534f 0%, #c12e2a 100%);
+  background-image: -webkit-gradient(linear, left top, left bottom, from(#d9534f), to(#c12e2a));
+  background-image: linear-gradient(to bottom, #d9534f 0%, #c12e2a 100%);
+  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffd9534f', endColorstr='#ffc12e2a', GradientType=0);
+  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);
+  background-repeat: repeat-x;
+  border-color: #b92c28;
+}
+.btn-danger:hover,
+.btn-danger:focus {
+  background-color: #c12e2a;
+  background-position: 0 -15px;
+}
+.btn-danger:active,
+.btn-danger.active {
+  background-color: #c12e2a;
+  border-color: #b92c28;
+}
+.btn-danger.disabled,
+.btn-danger[disabled],
+fieldset[disabled] .btn-danger,
+.btn-danger.disabled:hover,
+.btn-danger[disabled]:hover,
+fieldset[disabled] .btn-danger:hover,
+.btn-danger.disabled:focus,
+.btn-danger[disabled]:focus,
+fieldset[disabled] .btn-danger:focus,
+.btn-danger.disabled.focus,
+.btn-danger[disabled].focus,
+fieldset[disabled] .btn-danger.focus,
+.btn-danger.disabled:active,
+.btn-danger[disabled]:active,
+fieldset[disabled] .btn-danger:active,
+.btn-danger.disabled.active,
+.btn-danger[disabled].active,
+fieldset[disabled] .btn-danger.active {
+  background-color: #c12e2a;
+  background-image: none;
+}
+.thumbnail,
+.img-thumbnail {
+  -webkit-box-shadow: 0 1px 2px rgba(0, 0, 0, 0.075);
+  box-shadow: 0 1px 2px rgba(0, 0, 0, 0.075);
+}
+.dropdown-menu > li > a:hover,
+.dropdown-menu > li > a:focus {
+  background-image: -webkit-linear-gradient(top, #f5f5f5 0%, #e8e8e8 100%);
+  background-image: -o-linear-gradient(top, #f5f5f5 0%, #e8e8e8 100%);
+  background-image: -webkit-gradient(linear, left top, left bottom, from(#f5f5f5), to(#e8e8e8));
+  background-image: linear-gradient(to bottom, #f5f5f5 0%, #e8e8e8 100%);
+  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff5f5f5', endColorstr='#ffe8e8e8', GradientType=0);
+  background-repeat: repeat-x;
+  background-color: #e8e8e8;
+}
+.dropdown-menu > .active > a,
+.dropdown-menu > .active > a:hover,
+.dropdown-menu > .active > a:focus {
+  background-image: -webkit-linear-gradient(top, #337ab7 0%, #2e6da4 100%);
+  background-image: -o-linear-gradient(top, #337ab7 0%, #2e6da4 100%);
+  background-image: -webkit-gradient(linear, left top, left bottom, from(#337ab7), to(#2e6da4));
+  background-image: linear-gradient(to bottom, #337ab7 0%, #2e6da4 100%);
+  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff2e6da4', GradientType=0);
+  background-repeat: repeat-x;
+  background-color: #2e6da4;
+}
+.navbar-default {
+  background-image: -webkit-linear-gradient(top, #ffffff 0%, #f8f8f8 100%);
+  background-image: -o-linear-gradient(top, #ffffff 0%, #f8f8f8 100%);
+  background-image: -webkit-gradient(linear, left top, left bottom, from(#ffffff), to(#f8f8f8));
+  background-image: linear-gradient(to bottom, #ffffff 0%, #f8f8f8 100%);
+  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffffffff', endColorstr='#fff8f8f8', GradientType=0);
+  background-repeat: repeat-x;
+  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);
+  border-radius: 4px;
+  -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.15), 0 1px 5px rgba(0, 0, 0, 0.075);
+  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.15), 0 1px 5px rgba(0, 0, 0, 0.075);
+}
+.navbar-default .navbar-nav > .open > a,
+.navbar-default .navbar-nav > .active > a {
+  background-image: -webkit-linear-gradient(top, #dbdbdb 0%, #e2e2e2 100%);
+  background-image: -o-linear-gradient(top, #dbdbdb 0%, #e2e2e2 100%);
+  background-image: -webkit-gradient(linear, left top, left bottom, from(#dbdbdb), to(#e2e2e2));
+  background-image: linear-gradient(to bottom, #dbdbdb 0%, #e2e2e2 100%);
+  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffdbdbdb', endColorstr='#ffe2e2e2', GradientType=0);
+  background-repeat: repeat-x;
+  -webkit-box-shadow: inset 0 3px 9px rgba(0, 0, 0, 0.075);
+  box-shadow: inset 0 3px 9px rgba(0, 0, 0, 0.075);
+}
+.navbar-brand,
+.navbar-nav > li > a {
+  text-shadow: 0 1px 0 rgba(255, 255, 255, 0.25);
+}
+.navbar-inverse {
+  background-image: -webkit-linear-gradient(top, #3c3c3c 0%, #222 100%);
+  background-image: -o-linear-gradient(top, #3c3c3c 0%, #222 100%);
+  background-image: -webkit-gradient(linear, left top, left bottom, from(#3c3c3c), to(#222));
+  background-image: linear-gradient(to bottom, #3c3c3c 0%, #222 100%);
+  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff3c3c3c', endColorstr='#ff222222', GradientType=0);
+  background-repeat: repeat-x;
+  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);
+  border-radius: 4px;
+}
+.navbar-inverse .navbar-nav > .open > a,
+.navbar-inverse .navbar-nav > .active > a {
+  background-image: -webkit-linear-gradient(top, #080808 0%, #0f0f0f 100%);
+  background-image: -o-linear-gradient(top, #080808 0%, #0f0f0f 100%);
+  background-image: -webkit-gradient(linear, left top, left bottom, from(#080808), to(#0f0f0f));
+  background-image: linear-gradient(to bottom, #080808 0%, #0f0f0f 100%);
+  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff080808', endColorstr='#ff0f0f0f', GradientType=0);
+  background-repeat: repeat-x;
+  -webkit-box-shadow: inset 0 3px 9px rgba(0, 0, 0, 0.25);
+  box-shadow: inset 0 3px 9px rgba(0, 0, 0, 0.25);
+}
+.navbar-inverse .navbar-brand,
+.navbar-inverse .navbar-nav > li > a {
+  text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.25);
+}
+.navbar-static-top,
+.navbar-fixed-top,
+.navbar-fixed-bottom {
+  border-radius: 0;
+}
+@media (max-width: 767px) {
+  .navbar .navbar-nav .open .dropdown-menu > .active > a,
+  .navbar .navbar-nav .open .dropdown-menu > .active > a:hover,
+  .navbar .navbar-nav .open .dropdown-menu > .active > a:focus {
+    color: #fff;
+    background-image: -webkit-linear-gradient(top, #337ab7 0%, #2e6da4 100%);
+    background-image: -o-linear-gradient(top, #337ab7 0%, #2e6da4 100%);
+    background-image: -webkit-gradient(linear, left top, left bottom, from(#337ab7), to(#2e6da4));
+    background-image: linear-gradient(to bottom, #337ab7 0%, #2e6da4 100%);
+    filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff2e6da4', GradientType=0);
+    background-repeat: repeat-x;
+  }
+}
+.alert {
+  text-shadow: 0 1px 0 rgba(255, 255, 255, 0.2);
+  -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.25), 0 1px 2px rgba(0, 0, 0, 0.05);
+  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.25), 0 1px 2px rgba(0, 0, 0, 0.05);
+}
+.alert-success {
+  background-image: -webkit-linear-gradient(top, #dff0d8 0%, #c8e5bc 100%);
+  background-image: -o-linear-gradient(top, #dff0d8 0%, #c8e5bc 100%);
+  background-image: -webkit-gradient(linear, left top, left bottom, from(#dff0d8), to(#c8e5bc));
+  background-image: linear-gradient(to bottom, #dff0d8 0%, #c8e5bc 100%);
+  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffdff0d8', endColorstr='#ffc8e5bc', GradientType=0);
+  background-repeat: repeat-x;
+  border-color: #b2dba1;
+}
+.alert-info {
+  background-image: -webkit-linear-gradient(top, #d9edf7 0%, #b9def0 100%);
+  background-image: -o-linear-gradient(top, #d9edf7 0%, #b9def0 100%);
+  background-image: -webkit-gradient(linear, left top, left bottom, from(#d9edf7), to(#b9def0));
+  background-image: linear-gradient(to bottom, #d9edf7 0%, #b9def0 100%);
+  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffd9edf7', endColorstr='#ffb9def0', GradientType=0);
+  background-repeat: repeat-x;
+  border-color: #9acfea;
+}
+.alert-warning {
+  background-image: -webkit-linear-gradient(top, #fcf8e3 0%, #f8efc0 100%);
+  background-image: -o-linear-gradient(top, #fcf8e3 0%, #f8efc0 100%);
+  background-image: -webkit-gradient(linear, left top, left bottom, from(#fcf8e3), to(#f8efc0));
+  background-image: linear-gradient(to bottom, #fcf8e3 0%, #f8efc0 100%);
+  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fffcf8e3', endColorstr='#fff8efc0', GradientType=0);
+  background-repeat: repeat-x;
+  border-color: #f5e79e;
+}
+.alert-danger {
+  background-image: -webkit-linear-gradient(top, #f2dede 0%, #e7c3c3 100%);
+  background-image: -o-linear-gradient(top, #f2dede 0%, #e7c3c3 100%);
+  background-image: -webkit-gradient(linear, left top, left bottom, from(#f2dede), to(#e7c3c3));
+  background-image: linear-gradient(to bottom, #f2dede 0%, #e7c3c3 100%);
+  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff2dede', endColorstr='#ffe7c3c3', GradientType=0);
+  background-repeat: repeat-x;
+  border-color: #dca7a7;
+}
+.progress {
+  background-image: -webkit-linear-gradient(top, #ebebeb 0%, #f5f5f5 100%);
+  background-image: -o-linear-gradient(top, #ebebeb 0%, #f5f5f5 100%);
+  background-image: -webkit-gradient(linear, left top, left bottom, from(#ebebeb), to(#f5f5f5));
+  background-image: linear-gradient(to bottom, #ebebeb 0%, #f5f5f5 100%);
+  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffebebeb', endColorstr='#fff5f5f5', GradientType=0);
+  background-repeat: repeat-x;
+}
+.progress-bar {
+  background-image: -webkit-linear-gradient(top, #337ab7 0%, #286090 100%);
+  background-image: -o-linear-gradient(top, #337ab7 0%, #286090 100%);
+  background-image: -webkit-gradient(linear, left top, left bottom, from(#337ab7), to(#286090));
+  background-image: linear-gradient(to bottom, #337ab7 0%, #286090 100%);
+  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff286090', GradientType=0);
+  background-repeat: repeat-x;
+}
+.progress-bar-success {
+  background-image: -webkit-linear-gradient(top, #5cb85c 0%, #449d44 100%);
+  background-image: -o-linear-gradient(top, #5cb85c 0%, #449d44 100%);
+  background-image: -webkit-gradient(linear, left top, left bottom, from(#5cb85c), to(#449d44));
+  background-image: linear-gradient(to bottom, #5cb85c 0%, #449d44 100%);
+  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff5cb85c', endColorstr='#ff449d44', GradientType=0);
+  background-repeat: repeat-x;
+}
+.progress-bar-info {
+  background-image: -webkit-linear-gradient(top, #5bc0de 0%, #31b0d5 100%);
+  background-image: -o-linear-gradient(top, #5bc0de 0%, #31b0d5 100%);
+  background-image: -webkit-gradient(linear, left top, left bottom, from(#5bc0de), to(#31b0d5));
+  background-image: linear-gradient(to bottom, #5bc0de 0%, #31b0d5 100%);
+  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff5bc0de', endColorstr='#ff31b0d5', GradientType=0);
+  background-repeat: repeat-x;
+}
+.progress-bar-warning {
+  background-image: -webkit-linear-gradient(top, #f0ad4e 0%, #ec971f 100%);
+  background-image: -o-linear-gradient(top, #f0ad4e 0%, #ec971f 100%);
+  background-image: -webkit-gradient(linear, left top, left bottom, from(#f0ad4e), to(#ec971f));
+  background-image: linear-gradient(to bottom, #f0ad4e 0%, #ec971f 100%);
+  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff0ad4e', endColorstr='#ffec971f', GradientType=0);
+  background-repeat: repeat-x;
+}
+.progress-bar-danger {
+  background-image: -webkit-linear-gradient(top, #d9534f 0%, #c9302c 100%);
+  background-image: -o-linear-gradient(top, #d9534f 0%, #c9302c 100%);
+  background-image: -webkit-gradient(linear, left top, left bottom, from(#d9534f), to(#c9302c));
+  background-image: linear-gradient(to bottom, #d9534f 0%, #c9302c 100%);
+  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffd9534f', endColorstr='#ffc9302c', GradientType=0);
+  background-repeat: repeat-x;
+}
+.progress-bar-striped {
+  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+}
+.list-group {
+  border-radius: 4px;
+  -webkit-box-shadow: 0 1px 2px rgba(0, 0, 0, 0.075);
+  box-shadow: 0 1px 2px rgba(0, 0, 0, 0.075);
+}
+.list-group-item.active,
+.list-group-item.active:hover,
+.list-group-item.active:focus {
+  text-shadow: 0 -1px 0 #286090;
+  background-image: -webkit-linear-gradient(top, #337ab7 0%, #2b669a 100%);
+  background-image: -o-linear-gradient(top, #337ab7 0%, #2b669a 100%);
+  background-image: -webkit-gradient(linear, left top, left bottom, from(#337ab7), to(#2b669a));
+  background-image: linear-gradient(to bottom, #337ab7 0%, #2b669a 100%);
+  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff2b669a', GradientType=0);
+  background-repeat: repeat-x;
+  border-color: #2b669a;
+}
+.list-group-item.active .badge,
+.list-group-item.active:hover .badge,
+.list-group-item.active:focus .badge {
+  text-shadow: none;
+}
+.panel {
+  -webkit-box-shadow: 0 1px 2px rgba(0, 0, 0, 0.05);
+  box-shadow: 0 1px 2px rgba(0, 0, 0, 0.05);
+}
+.panel-default > .panel-heading {
+  background-image: -webkit-linear-gradient(top, #f5f5f5 0%, #e8e8e8 100%);
+  background-image: -o-linear-gradient(top, #f5f5f5 0%, #e8e8e8 100%);
+  background-image: -webkit-gradient(linear, left top, left bottom, from(#f5f5f5), to(#e8e8e8));
+  background-image: linear-gradient(to bottom, #f5f5f5 0%, #e8e8e8 100%);
+  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff5f5f5', endColorstr='#ffe8e8e8', GradientType=0);
+  background-repeat: repeat-x;
+}
+.panel-primary > .panel-heading {
+  background-image: -webkit-linear-gradient(top, #337ab7 0%, #2e6da4 100%);
+  background-image: -o-linear-gradient(top, #337ab7 0%, #2e6da4 100%);
+  background-image: -webkit-gradient(linear, left top, left bottom, from(#337ab7), to(#2e6da4));
+  background-image: linear-gradient(to bottom, #337ab7 0%, #2e6da4 100%);
+  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff2e6da4', GradientType=0);
+  background-repeat: repeat-x;
+}
+.panel-success > .panel-heading {
+  background-image: -webkit-linear-gradient(top, #dff0d8 0%, #d0e9c6 100%);
+  background-image: -o-linear-gradient(top, #dff0d8 0%, #d0e9c6 100%);
+  background-image: -webkit-gradient(linear, left top, left bottom, from(#dff0d8), to(#d0e9c6));
+  background-image: linear-gradient(to bottom, #dff0d8 0%, #d0e9c6 100%);
+  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffdff0d8', endColorstr='#ffd0e9c6', GradientType=0);
+  background-repeat: repeat-x;
+}
+.panel-info > .panel-heading {
+  background-image: -webkit-linear-gradient(top, #d9edf7 0%, #c4e3f3 100%);
+  background-image: -o-linear-gradient(top, #d9edf7 0%, #c4e3f3 100%);
+  background-image: -webkit-gradient(linear, left top, left bottom, from(#d9edf7), to(#c4e3f3));
+  background-image: linear-gradient(to bottom, #d9edf7 0%, #c4e3f3 100%);
+  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffd9edf7', endColorstr='#ffc4e3f3', GradientType=0);
+  background-repeat: repeat-x;
+}
+.panel-warning > .panel-heading {
+  background-image: -webkit-linear-gradient(top, #fcf8e3 0%, #faf2cc 100%);
+  background-image: -o-linear-gradient(top, #fcf8e3 0%, #faf2cc 100%);
+  background-image: -webkit-gradient(linear, left top, left bottom, from(#fcf8e3), to(#faf2cc));
+  background-image: linear-gradient(to bottom, #fcf8e3 0%, #faf2cc 100%);
+  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fffcf8e3', endColorstr='#fffaf2cc', GradientType=0);
+  background-repeat: repeat-x;
+}
+.panel-danger > .panel-heading {
+  background-image: -webkit-linear-gradient(top, #f2dede 0%, #ebcccc 100%);
+  background-image: -o-linear-gradient(top, #f2dede 0%, #ebcccc 100%);
+  background-image: -webkit-gradient(linear, left top, left bottom, from(#f2dede), to(#ebcccc));
+  background-image: linear-gradient(to bottom, #f2dede 0%, #ebcccc 100%);
+  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff2dede', endColorstr='#ffebcccc', GradientType=0);
+  background-repeat: repeat-x;
+}
+.well {
+  background-image: -webkit-linear-gradient(top, #e8e8e8 0%, #f5f5f5 100%);
+  background-image: -o-linear-gradient(top, #e8e8e8 0%, #f5f5f5 100%);
+  background-image: -webkit-gradient(linear, left top, left bottom, from(#e8e8e8), to(#f5f5f5));
+  background-image: linear-gradient(to bottom, #e8e8e8 0%, #f5f5f5 100%);
+  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffe8e8e8', endColorstr='#fff5f5f5', GradientType=0);
+  background-repeat: repeat-x;
+  border-color: #dcdcdc;
+  -webkit-box-shadow: inset 0 1px 3px rgba(0, 0, 0, 0.05), 0 1px 0 rgba(255, 255, 255, 0.1);
+  box-shadow: inset 0 1px 3px rgba(0, 0, 0, 0.05), 0 1px 0 rgba(255, 255, 255, 0.1);
+}
+/*# sourceMappingURL=bootstrap-theme.css.map */
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_static/bootstrap-3.4.1/css/bootstrap-theme.css.map b/trackpy/v0.6.2/_static/bootstrap-3.4.1/css/bootstrap-theme.css.map
new file mode 100644
index 00000000..949d0973
--- /dev/null
+++ b/trackpy/v0.6.2/_static/bootstrap-3.4.1/css/bootstrap-theme.css.map
@@ -0,0 +1 @@
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* Bootstrap v3.4.1 (https://getbootstrap.com/)\n * Copyright 2011-2019 Twitter, Inc.\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)\n */\n.btn-default,\n.btn-primary,\n.btn-success,\n.btn-info,\n.btn-warning,\n.btn-danger {\n  text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.2);\n  -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.15), 0 1px 1px rgba(0, 0, 0, 0.075);\n  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.15), 0 1px 1px rgba(0, 0, 0, 0.075);\n}\n.btn-default:active,\n.btn-primary:active,\n.btn-success:active,\n.btn-info:active,\n.btn-warning:active,\n.btn-danger:active,\n.btn-default.active,\n.btn-primary.active,\n.btn-success.active,\n.btn-info.active,\n.btn-warning.active,\n.btn-danger.active {\n  -webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n}\n.btn-default.disabled,\n.btn-primary.disabled,\n.btn-success.disabled,\n.btn-info.disabled,\n.btn-warning.disabled,\n.btn-danger.disabled,\n.btn-default[disabled],\n.btn-primary[disabled],\n.btn-success[disabled],\n.btn-info[disabled],\n.btn-warning[disabled],\n.btn-danger[disabled],\nfieldset[disabled] .btn-default,\nfieldset[disabled] .btn-primary,\nfieldset[disabled] .btn-success,\nfieldset[disabled] .btn-info,\nfieldset[disabled] .btn-warning,\nfieldset[disabled] .btn-danger {\n  -webkit-box-shadow: none;\n  box-shadow: none;\n}\n.btn-default .badge,\n.btn-primary .badge,\n.btn-success .badge,\n.btn-info .badge,\n.btn-warning .badge,\n.btn-danger .badge {\n  text-shadow: none;\n}\n.btn:active,\n.btn.active {\n  background-image: none;\n}\n.btn-default {\n  background-image: -webkit-linear-gradient(top, #fff 0%, #e0e0e0 100%);\n  background-image: -o-linear-gradient(top, #fff 0%, #e0e0e0 100%);\n  background-image: linear-gradient(to bottom, #fff 0%, #e0e0e0 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffffffff', endColorstr='#ffe0e0e0', GradientType=0);\n  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);\n  background-repeat: repeat-x;\n  border-color: #dbdbdb;\n  text-shadow: 0 1px 0 #fff;\n  border-color: #ccc;\n}\n.btn-default:hover,\n.btn-default:focus {\n  background-color: #e0e0e0;\n  background-position: 0 -15px;\n}\n.btn-default:active,\n.btn-default.active {\n  background-color: #e0e0e0;\n  border-color: #dbdbdb;\n}\n.btn-default.disabled,\n.btn-default[disabled],\nfieldset[disabled] .btn-default,\n.btn-default.disabled:hover,\n.btn-default[disabled]:hover,\nfieldset[disabled] .btn-default:hover,\n.btn-default.disabled:focus,\n.btn-default[disabled]:focus,\nfieldset[disabled] .btn-default:focus,\n.btn-default.disabled.focus,\n.btn-default[disabled].focus,\nfieldset[disabled] .btn-default.focus,\n.btn-default.disabled:active,\n.btn-default[disabled]:active,\nfieldset[disabled] .btn-default:active,\n.btn-default.disabled.active,\n.btn-default[disabled].active,\nfieldset[disabled] .btn-default.active {\n  background-color: #e0e0e0;\n  background-image: none;\n}\n.btn-primary {\n  background-image: -webkit-linear-gradient(top, #337ab7 0%, #265a88 100%);\n  background-image: -o-linear-gradient(top, #337ab7 0%, #265a88 100%);\n  background-image: linear-gradient(to bottom, #337ab7 0%, #265a88 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff265a88', GradientType=0);\n  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);\n  background-repeat: repeat-x;\n  border-color: #245580;\n}\n.btn-primary:hover,\n.btn-primary:focus {\n  background-color: #265a88;\n  background-position: 0 -15px;\n}\n.btn-primary:active,\n.btn-primary.active {\n  background-color: #265a88;\n  border-color: #245580;\n}\n.btn-primary.disabled,\n.btn-primary[disabled],\nfieldset[disabled] .btn-primary,\n.btn-primary.disabled:hover,\n.btn-primary[disabled]:hover,\nfieldset[disabled] .btn-primary:hover,\n.btn-primary.disabled:focus,\n.btn-primary[disabled]:focus,\nfieldset[disabled] .btn-primary:focus,\n.btn-primary.disabled.focus,\n.btn-primary[disabled].focus,\nfieldset[disabled] .btn-primary.focus,\n.btn-primary.disabled:active,\n.btn-primary[disabled]:active,\nfieldset[disabled] .btn-primary:active,\n.btn-primary.disabled.active,\n.btn-primary[disabled].active,\nfieldset[disabled] .btn-primary.active {\n  background-color: #265a88;\n  background-image: none;\n}\n.btn-success {\n  background-image: -webkit-linear-gradient(top, #5cb85c 0%, #419641 100%);\n  background-image: -o-linear-gradient(top, #5cb85c 0%, #419641 100%);\n  background-image: linear-gradient(to bottom, #5cb85c 0%, #419641 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff5cb85c', endColorstr='#ff419641', GradientType=0);\n  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);\n  background-repeat: repeat-x;\n  border-color: #3e8f3e;\n}\n.btn-success:hover,\n.btn-success:focus {\n  background-color: #419641;\n  background-position: 0 -15px;\n}\n.btn-success:active,\n.btn-success.active {\n  background-color: #419641;\n  border-color: #3e8f3e;\n}\n.btn-success.disabled,\n.btn-success[disabled],\nfieldset[disabled] .btn-success,\n.btn-success.disabled:hover,\n.btn-success[disabled]:hover,\nfieldset[disabled] .btn-success:hover,\n.btn-success.disabled:focus,\n.btn-success[disabled]:focus,\nfieldset[disabled] .btn-success:focus,\n.btn-success.disabled.focus,\n.btn-success[disabled].focus,\nfieldset[disabled] .btn-success.focus,\n.btn-success.disabled:active,\n.btn-success[disabled]:active,\nfieldset[disabled] .btn-success:active,\n.btn-success.disabled.active,\n.btn-success[disabled].active,\nfieldset[disabled] .btn-success.active {\n  background-color: #419641;\n  background-image: none;\n}\n.btn-info {\n  background-image: -webkit-linear-gradient(top, #5bc0de 0%, #2aabd2 100%);\n  background-image: -o-linear-gradient(top, #5bc0de 0%, #2aabd2 100%);\n  background-image: linear-gradient(to bottom, #5bc0de 0%, #2aabd2 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff5bc0de', endColorstr='#ff2aabd2', GradientType=0);\n  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);\n  background-repeat: repeat-x;\n  border-color: #28a4c9;\n}\n.btn-info:hover,\n.btn-info:focus {\n  background-color: #2aabd2;\n  background-position: 0 -15px;\n}\n.btn-info:active,\n.btn-info.active {\n  background-color: #2aabd2;\n  border-color: #28a4c9;\n}\n.btn-info.disabled,\n.btn-info[disabled],\nfieldset[disabled] .btn-info,\n.btn-info.disabled:hover,\n.btn-info[disabled]:hover,\nfieldset[disabled] .btn-info:hover,\n.btn-info.disabled:focus,\n.btn-info[disabled]:focus,\nfieldset[disabled] .btn-info:focus,\n.btn-info.disabled.focus,\n.btn-info[disabled].focus,\nfieldset[disabled] .btn-info.focus,\n.btn-info.disabled:active,\n.btn-info[disabled]:active,\nfieldset[disabled] .btn-info:active,\n.btn-info.disabled.active,\n.btn-info[disabled].active,\nfieldset[disabled] .btn-info.active {\n  background-color: #2aabd2;\n  background-image: none;\n}\n.btn-warning {\n  background-image: -webkit-linear-gradient(top, #f0ad4e 0%, #eb9316 100%);\n  background-image: -o-linear-gradient(top, #f0ad4e 0%, #eb9316 100%);\n  background-image: linear-gradient(to bottom, #f0ad4e 0%, #eb9316 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff0ad4e', endColorstr='#ffeb9316', GradientType=0);\n  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);\n  background-repeat: repeat-x;\n  border-color: #e38d13;\n}\n.btn-warning:hover,\n.btn-warning:focus {\n  background-color: #eb9316;\n  background-position: 0 -15px;\n}\n.btn-warning:active,\n.btn-warning.active {\n  background-color: #eb9316;\n  border-color: #e38d13;\n}\n.btn-warning.disabled,\n.btn-warning[disabled],\nfieldset[disabled] .btn-warning,\n.btn-warning.disabled:hover,\n.btn-warning[disabled]:hover,\nfieldset[disabled] .btn-warning:hover,\n.btn-warning.disabled:focus,\n.btn-warning[disabled]:focus,\nfieldset[disabled] .btn-warning:focus,\n.btn-warning.disabled.focus,\n.btn-warning[disabled].focus,\nfieldset[disabled] .btn-warning.focus,\n.btn-warning.disabled:active,\n.btn-warning[disabled]:active,\nfieldset[disabled] .btn-warning:active,\n.btn-warning.disabled.active,\n.btn-warning[disabled].active,\nfieldset[disabled] .btn-warning.active {\n  background-color: #eb9316;\n  background-image: none;\n}\n.btn-danger {\n  background-image: -webkit-linear-gradient(top, #d9534f 0%, #c12e2a 100%);\n  background-image: -o-linear-gradient(top, #d9534f 0%, #c12e2a 100%);\n  background-image: linear-gradient(to bottom, #d9534f 0%, #c12e2a 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffd9534f', endColorstr='#ffc12e2a', GradientType=0);\n  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);\n  background-repeat: repeat-x;\n  border-color: #b92c28;\n}\n.btn-danger:hover,\n.btn-danger:focus {\n  background-color: #c12e2a;\n  background-position: 0 -15px;\n}\n.btn-danger:active,\n.btn-danger.active {\n  background-color: #c12e2a;\n  border-color: #b92c28;\n}\n.btn-danger.disabled,\n.btn-danger[disabled],\nfieldset[disabled] .btn-danger,\n.btn-danger.disabled:hover,\n.btn-danger[disabled]:hover,\nfieldset[disabled] .btn-danger:hover,\n.btn-danger.disabled:focus,\n.btn-danger[disabled]:focus,\nfieldset[disabled] .btn-danger:focus,\n.btn-danger.disabled.focus,\n.btn-danger[disabled].focus,\nfieldset[disabled] .btn-danger.focus,\n.btn-danger.disabled:active,\n.btn-danger[disabled]:active,\nfieldset[disabled] .btn-danger:active,\n.btn-danger.disabled.active,\n.btn-danger[disabled].active,\nfieldset[disabled] .btn-danger.active {\n  background-color: #c12e2a;\n  background-image: none;\n}\n.thumbnail,\n.img-thumbnail {\n  -webkit-box-shadow: 0 1px 2px rgba(0, 0, 0, 0.075);\n  box-shadow: 0 1px 2px rgba(0, 0, 0, 0.075);\n}\n.dropdown-menu > li > a:hover,\n.dropdown-menu > li > a:focus {\n  background-image: -webkit-linear-gradient(top, #f5f5f5 0%, #e8e8e8 100%);\n  background-image: -o-linear-gradient(top, #f5f5f5 0%, #e8e8e8 100%);\n  background-image: linear-gradient(to bottom, #f5f5f5 0%, #e8e8e8 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff5f5f5', endColorstr='#ffe8e8e8', GradientType=0);\n  background-repeat: repeat-x;\n  background-color: #e8e8e8;\n}\n.dropdown-menu > .active > a,\n.dropdown-menu > .active > a:hover,\n.dropdown-menu > .active > a:focus {\n  background-image: -webkit-linear-gradient(top, #337ab7 0%, #2e6da4 100%);\n  background-image: -o-linear-gradient(top, #337ab7 0%, #2e6da4 100%);\n  background-image: linear-gradient(to bottom, #337ab7 0%, #2e6da4 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff2e6da4', GradientType=0);\n  background-repeat: repeat-x;\n  background-color: #2e6da4;\n}\n.navbar-default {\n  background-image: -webkit-linear-gradient(top, #ffffff 0%, #f8f8f8 100%);\n  background-image: -o-linear-gradient(top, #ffffff 0%, #f8f8f8 100%);\n  background-image: linear-gradient(to bottom, #ffffff 0%, #f8f8f8 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffffffff', endColorstr='#fff8f8f8', GradientType=0);\n  background-repeat: repeat-x;\n  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);\n  border-radius: 4px;\n  -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.15), 0 1px 5px rgba(0, 0, 0, 0.075);\n  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.15), 0 1px 5px rgba(0, 0, 0, 0.075);\n}\n.navbar-default .navbar-nav > .open > a,\n.navbar-default .navbar-nav > .active > a {\n  background-image: -webkit-linear-gradient(top, #dbdbdb 0%, #e2e2e2 100%);\n  background-image: -o-linear-gradient(top, #dbdbdb 0%, #e2e2e2 100%);\n  background-image: linear-gradient(to bottom, #dbdbdb 0%, #e2e2e2 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffdbdbdb', endColorstr='#ffe2e2e2', GradientType=0);\n  background-repeat: repeat-x;\n  -webkit-box-shadow: inset 0 3px 9px rgba(0, 0, 0, 0.075);\n  box-shadow: inset 0 3px 9px rgba(0, 0, 0, 0.075);\n}\n.navbar-brand,\n.navbar-nav > li > a {\n  text-shadow: 0 1px 0 rgba(255, 255, 255, 0.25);\n}\n.navbar-inverse {\n  background-image: -webkit-linear-gradient(top, #3c3c3c 0%, #222 100%);\n  background-image: -o-linear-gradient(top, #3c3c3c 0%, #222 100%);\n  background-image: linear-gradient(to bottom, #3c3c3c 0%, #222 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff3c3c3c', endColorstr='#ff222222', GradientType=0);\n  background-repeat: repeat-x;\n  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);\n  border-radius: 4px;\n}\n.navbar-inverse .navbar-nav > .open > a,\n.navbar-inverse .navbar-nav > .active > a {\n  background-image: -webkit-linear-gradient(top, #080808 0%, #0f0f0f 100%);\n  background-image: -o-linear-gradient(top, #080808 0%, #0f0f0f 100%);\n  background-image: linear-gradient(to bottom, #080808 0%, #0f0f0f 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff080808', endColorstr='#ff0f0f0f', GradientType=0);\n  background-repeat: repeat-x;\n  -webkit-box-shadow: inset 0 3px 9px rgba(0, 0, 0, 0.25);\n  box-shadow: inset 0 3px 9px rgba(0, 0, 0, 0.25);\n}\n.navbar-inverse .navbar-brand,\n.navbar-inverse .navbar-nav > li > a {\n  text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.25);\n}\n.navbar-static-top,\n.navbar-fixed-top,\n.navbar-fixed-bottom {\n  border-radius: 0;\n}\n@media (max-width: 767px) {\n  .navbar .navbar-nav .open .dropdown-menu > .active > a,\n  .navbar .navbar-nav .open .dropdown-menu > .active > a:hover,\n  .navbar .navbar-nav .open .dropdown-menu > .active > a:focus {\n    color: #fff;\n    background-image: -webkit-linear-gradient(top, #337ab7 0%, #2e6da4 100%);\n    background-image: -o-linear-gradient(top, #337ab7 0%, #2e6da4 100%);\n    background-image: linear-gradient(to bottom, #337ab7 0%, #2e6da4 100%);\n    filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff2e6da4', GradientType=0);\n    background-repeat: repeat-x;\n  }\n}\n.alert {\n  text-shadow: 0 1px 0 rgba(255, 255, 255, 0.2);\n  -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.25), 0 1px 2px rgba(0, 0, 0, 0.05);\n  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.25), 0 1px 2px rgba(0, 0, 0, 0.05);\n}\n.alert-success {\n  background-image: -webkit-linear-gradient(top, #dff0d8 0%, #c8e5bc 100%);\n  background-image: -o-linear-gradient(top, #dff0d8 0%, #c8e5bc 100%);\n  background-image: linear-gradient(to bottom, #dff0d8 0%, #c8e5bc 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffdff0d8', endColorstr='#ffc8e5bc', GradientType=0);\n  background-repeat: repeat-x;\n  border-color: #b2dba1;\n}\n.alert-info {\n  background-image: -webkit-linear-gradient(top, #d9edf7 0%, #b9def0 100%);\n  background-image: -o-linear-gradient(top, #d9edf7 0%, #b9def0 100%);\n  background-image: linear-gradient(to bottom, #d9edf7 0%, #b9def0 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffd9edf7', endColorstr='#ffb9def0', GradientType=0);\n  background-repeat: repeat-x;\n  border-color: #9acfea;\n}\n.alert-warning {\n  background-image: -webkit-linear-gradient(top, #fcf8e3 0%, #f8efc0 100%);\n  background-image: -o-linear-gradient(top, #fcf8e3 0%, #f8efc0 100%);\n  background-image: linear-gradient(to bottom, #fcf8e3 0%, #f8efc0 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fffcf8e3', endColorstr='#fff8efc0', GradientType=0);\n  background-repeat: repeat-x;\n  border-color: #f5e79e;\n}\n.alert-danger {\n  background-image: -webkit-linear-gradient(top, #f2dede 0%, #e7c3c3 100%);\n  background-image: -o-linear-gradient(top, #f2dede 0%, #e7c3c3 100%);\n  background-image: linear-gradient(to bottom, #f2dede 0%, #e7c3c3 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff2dede', endColorstr='#ffe7c3c3', GradientType=0);\n  background-repeat: repeat-x;\n  border-color: #dca7a7;\n}\n.progress {\n  background-image: -webkit-linear-gradient(top, #ebebeb 0%, #f5f5f5 100%);\n  background-image: -o-linear-gradient(top, #ebebeb 0%, #f5f5f5 100%);\n  background-image: linear-gradient(to bottom, #ebebeb 0%, #f5f5f5 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffebebeb', endColorstr='#fff5f5f5', GradientType=0);\n  background-repeat: repeat-x;\n}\n.progress-bar {\n  background-image: -webkit-linear-gradient(top, #337ab7 0%, #286090 100%);\n  background-image: -o-linear-gradient(top, #337ab7 0%, #286090 100%);\n  background-image: linear-gradient(to bottom, #337ab7 0%, #286090 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff286090', GradientType=0);\n  background-repeat: repeat-x;\n}\n.progress-bar-success {\n  background-image: -webkit-linear-gradient(top, #5cb85c 0%, #449d44 100%);\n  background-image: -o-linear-gradient(top, #5cb85c 0%, #449d44 100%);\n  background-image: linear-gradient(to bottom, #5cb85c 0%, #449d44 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff5cb85c', endColorstr='#ff449d44', GradientType=0);\n  background-repeat: repeat-x;\n}\n.progress-bar-info {\n  background-image: -webkit-linear-gradient(top, #5bc0de 0%, #31b0d5 100%);\n  background-image: -o-linear-gradient(top, #5bc0de 0%, #31b0d5 100%);\n  background-image: linear-gradient(to bottom, #5bc0de 0%, #31b0d5 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff5bc0de', endColorstr='#ff31b0d5', GradientType=0);\n  background-repeat: repeat-x;\n}\n.progress-bar-warning {\n  background-image: -webkit-linear-gradient(top, #f0ad4e 0%, #ec971f 100%);\n  background-image: -o-linear-gradient(top, #f0ad4e 0%, #ec971f 100%);\n  background-image: linear-gradient(to bottom, #f0ad4e 0%, #ec971f 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff0ad4e', endColorstr='#ffec971f', GradientType=0);\n  background-repeat: repeat-x;\n}\n.progress-bar-danger {\n  background-image: -webkit-linear-gradient(top, #d9534f 0%, #c9302c 100%);\n  background-image: -o-linear-gradient(top, #d9534f 0%, #c9302c 100%);\n  background-image: linear-gradient(to bottom, #d9534f 0%, #c9302c 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffd9534f', endColorstr='#ffc9302c', GradientType=0);\n  background-repeat: repeat-x;\n}\n.progress-bar-striped {\n  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n}\n.list-group {\n  border-radius: 4px;\n  -webkit-box-shadow: 0 1px 2px rgba(0, 0, 0, 0.075);\n  box-shadow: 0 1px 2px rgba(0, 0, 0, 0.075);\n}\n.list-group-item.active,\n.list-group-item.active:hover,\n.list-group-item.active:focus {\n  text-shadow: 0 -1px 0 #286090;\n  background-image: -webkit-linear-gradient(top, #337ab7 0%, #2b669a 100%);\n  background-image: -o-linear-gradient(top, #337ab7 0%, #2b669a 100%);\n  background-image: linear-gradient(to bottom, #337ab7 0%, #2b669a 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff2b669a', GradientType=0);\n  background-repeat: repeat-x;\n  border-color: #2b669a;\n}\n.list-group-item.active .badge,\n.list-group-item.active:hover .badge,\n.list-group-item.active:focus .badge {\n  text-shadow: none;\n}\n.panel {\n  -webkit-box-shadow: 0 1px 2px rgba(0, 0, 0, 0.05);\n  box-shadow: 0 1px 2px rgba(0, 0, 0, 0.05);\n}\n.panel-default > .panel-heading {\n  background-image: -webkit-linear-gradient(top, #f5f5f5 0%, #e8e8e8 100%);\n  background-image: -o-linear-gradient(top, #f5f5f5 0%, #e8e8e8 100%);\n  background-image: linear-gradient(to bottom, #f5f5f5 0%, #e8e8e8 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff5f5f5', endColorstr='#ffe8e8e8', GradientType=0);\n  background-repeat: repeat-x;\n}\n.panel-primary > .panel-heading {\n  background-image: -webkit-linear-gradient(top, #337ab7 0%, #2e6da4 100%);\n  background-image: -o-linear-gradient(top, #337ab7 0%, #2e6da4 100%);\n  background-image: linear-gradient(to bottom, #337ab7 0%, #2e6da4 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff2e6da4', GradientType=0);\n  background-repeat: repeat-x;\n}\n.panel-success > .panel-heading {\n  background-image: -webkit-linear-gradient(top, #dff0d8 0%, #d0e9c6 100%);\n  background-image: -o-linear-gradient(top, #dff0d8 0%, #d0e9c6 100%);\n  background-image: linear-gradient(to bottom, #dff0d8 0%, #d0e9c6 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffdff0d8', endColorstr='#ffd0e9c6', GradientType=0);\n  background-repeat: repeat-x;\n}\n.panel-info > .panel-heading {\n  background-image: -webkit-linear-gradient(top, #d9edf7 0%, #c4e3f3 100%);\n  background-image: -o-linear-gradient(top, #d9edf7 0%, #c4e3f3 100%);\n  background-image: linear-gradient(to bottom, #d9edf7 0%, #c4e3f3 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffd9edf7', endColorstr='#ffc4e3f3', GradientType=0);\n  background-repeat: repeat-x;\n}\n.panel-warning > .panel-heading {\n  background-image: -webkit-linear-gradient(top, #fcf8e3 0%, #faf2cc 100%);\n  background-image: -o-linear-gradient(top, #fcf8e3 0%, #faf2cc 100%);\n  background-image: linear-gradient(to bottom, #fcf8e3 0%, #faf2cc 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fffcf8e3', endColorstr='#fffaf2cc', GradientType=0);\n  background-repeat: repeat-x;\n}\n.panel-danger > .panel-heading {\n  background-image: -webkit-linear-gradient(top, #f2dede 0%, #ebcccc 100%);\n  background-image: -o-linear-gradient(top, #f2dede 0%, #ebcccc 100%);\n  background-image: linear-gradient(to bottom, #f2dede 0%, #ebcccc 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff2dede', endColorstr='#ffebcccc', GradientType=0);\n  background-repeat: repeat-x;\n}\n.well {\n  background-image: -webkit-linear-gradient(top, #e8e8e8 0%, #f5f5f5 100%);\n  background-image: -o-linear-gradient(top, #e8e8e8 0%, #f5f5f5 100%);\n  background-image: linear-gradient(to bottom, #e8e8e8 0%, #f5f5f5 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffe8e8e8', endColorstr='#fff5f5f5', GradientType=0);\n  background-repeat: repeat-x;\n  border-color: #dcdcdc;\n  -webkit-box-shadow: inset 0 1px 3px rgba(0, 0, 0, 0.05), 0 1px 0 rgba(255, 255, 255, 0.1);\n  box-shadow: inset 0 1px 3px rgba(0, 0, 0, 0.05), 0 1px 0 rgba(255, 255, 255, 0.1);\n}\n/*# sourceMappingURL=bootstrap-theme.css.map */","// stylelint-disable selector-no-qualifying-type, selector-max-compound-selectors\n\n/*!\n * Bootstrap v3.4.1 (https://getbootstrap.com/)\n * Copyright 2011-2019 Twitter, Inc.\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)\n */\n\n//\n// Load core variables and mixins\n// --------------------------------------------------\n\n@import \"variables.less\";\n@import \"mixins.less\";\n\n\n//\n// Buttons\n// --------------------------------------------------\n\n// Common styles\n.btn-default,\n.btn-primary,\n.btn-success,\n.btn-info,\n.btn-warning,\n.btn-danger {\n  text-shadow: 0 -1px 0 rgba(0, 0, 0, .2);\n  @shadow: inset 0 1px 0 rgba(255, 255, 255, .15), 0 1px 1px rgba(0, 0, 0, .075);\n  .box-shadow(@shadow);\n\n  // Reset the shadow\n  &:active,\n  &.active {\n    .box-shadow(inset 0 3px 5px rgba(0, 0, 0, .125));\n  }\n\n  &.disabled,\n  &[disabled],\n  fieldset[disabled] & {\n    .box-shadow(none);\n  }\n\n  .badge {\n    text-shadow: none;\n  }\n}\n\n// Mixin for generating new styles\n.btn-styles(@btn-color: #555) {\n  #gradient > .vertical(@start-color: @btn-color; @end-color: darken(@btn-color, 12%));\n  .reset-filter(); // Disable gradients for IE9 because filter bleeds through rounded corners; see https://github.com/twbs/bootstrap/issues/10620\n  background-repeat: repeat-x;\n  border-color: darken(@btn-color, 14%);\n\n  &:hover,\n  &:focus  {\n    background-color: darken(@btn-color, 12%);\n    background-position: 0 -15px;\n  }\n\n  &:active,\n  &.active {\n    background-color: darken(@btn-color, 12%);\n    border-color: darken(@btn-color, 14%);\n  }\n\n  &.disabled,\n  &[disabled],\n  fieldset[disabled] & {\n    &,\n    &:hover,\n    &:focus,\n    &.focus,\n    &:active,\n    &.active {\n      background-color: darken(@btn-color, 12%);\n      background-image: none;\n    }\n  }\n}\n\n// Common styles\n.btn {\n  // Remove the gradient for the pressed/active state\n  &:active,\n  &.active {\n    background-image: none;\n  }\n}\n\n// Apply the mixin to the buttons\n.btn-default {\n  .btn-styles(@btn-default-bg);\n  text-shadow: 0 1px 0 #fff;\n  border-color: #ccc;\n}\n.btn-primary { .btn-styles(@btn-primary-bg); }\n.btn-success { .btn-styles(@btn-success-bg); }\n.btn-info    { .btn-styles(@btn-info-bg); }\n.btn-warning { .btn-styles(@btn-warning-bg); }\n.btn-danger  { .btn-styles(@btn-danger-bg); }\n\n\n//\n// Images\n// --------------------------------------------------\n\n.thumbnail,\n.img-thumbnail {\n  .box-shadow(0 1px 2px rgba(0, 0, 0, .075));\n}\n\n\n//\n// Dropdowns\n// --------------------------------------------------\n\n.dropdown-menu > li > a:hover,\n.dropdown-menu > li > a:focus {\n  #gradient > .vertical(@start-color: @dropdown-link-hover-bg; @end-color: darken(@dropdown-link-hover-bg, 5%));\n  background-color: darken(@dropdown-link-hover-bg, 5%);\n}\n.dropdown-menu > .active > a,\n.dropdown-menu > .active > a:hover,\n.dropdown-menu > .active > a:focus {\n  #gradient > .vertical(@start-color: @dropdown-link-active-bg; @end-color: darken(@dropdown-link-active-bg, 5%));\n  background-color: darken(@dropdown-link-active-bg, 5%);\n}\n\n\n//\n// Navbar\n// --------------------------------------------------\n\n// Default navbar\n.navbar-default {\n  #gradient > .vertical(@start-color: lighten(@navbar-default-bg, 10%); @end-color: @navbar-default-bg);\n  .reset-filter(); // Remove gradient in IE<10 to fix bug where dropdowns don't get triggered\n  border-radius: @navbar-border-radius;\n  @shadow: inset 0 1px 0 rgba(255, 255, 255, .15), 0 1px 5px rgba(0, 0, 0, .075);\n  .box-shadow(@shadow);\n\n  .navbar-nav > .open > a,\n  .navbar-nav > .active > a {\n    #gradient > .vertical(@start-color: darken(@navbar-default-link-active-bg, 5%); @end-color: darken(@navbar-default-link-active-bg, 2%));\n    .box-shadow(inset 0 3px 9px rgba(0, 0, 0, .075));\n  }\n}\n.navbar-brand,\n.navbar-nav > li > a {\n  text-shadow: 0 1px 0 rgba(255, 255, 255, .25);\n}\n\n// Inverted navbar\n.navbar-inverse {\n  #gradient > .vertical(@start-color: lighten(@navbar-inverse-bg, 10%); @end-color: @navbar-inverse-bg);\n  .reset-filter(); // Remove gradient in IE<10 to fix bug where dropdowns don't get triggered; see https://github.com/twbs/bootstrap/issues/10257\n  border-radius: @navbar-border-radius;\n  .navbar-nav > .open > a,\n  .navbar-nav > .active > a {\n    #gradient > .vertical(@start-color: @navbar-inverse-link-active-bg; @end-color: lighten(@navbar-inverse-link-active-bg, 2.5%));\n    .box-shadow(inset 0 3px 9px rgba(0, 0, 0, .25));\n  }\n\n  .navbar-brand,\n  .navbar-nav > li > a {\n    text-shadow: 0 -1px 0 rgba(0, 0, 0, .25);\n  }\n}\n\n// Undo rounded corners in static and fixed navbars\n.navbar-static-top,\n.navbar-fixed-top,\n.navbar-fixed-bottom {\n  border-radius: 0;\n}\n\n// Fix active state of dropdown items in collapsed mode\n@media (max-width: @grid-float-breakpoint-max) {\n  .navbar .navbar-nav .open .dropdown-menu > .active > a {\n    &,\n    &:hover,\n    &:focus {\n      color: #fff;\n      #gradient > .vertical(@start-color: @dropdown-link-active-bg; @end-color: darken(@dropdown-link-active-bg, 5%));\n    }\n  }\n}\n\n\n//\n// Alerts\n// --------------------------------------------------\n\n// Common styles\n.alert {\n  text-shadow: 0 1px 0 rgba(255, 255, 255, .2);\n  @shadow: inset 0 1px 0 rgba(255, 255, 255, .25), 0 1px 2px rgba(0, 0, 0, .05);\n  .box-shadow(@shadow);\n}\n\n// Mixin for generating new styles\n.alert-styles(@color) {\n  #gradient > .vertical(@start-color: @color; @end-color: darken(@color, 7.5%));\n  border-color: darken(@color, 15%);\n}\n\n// Apply the mixin to the alerts\n.alert-success    { .alert-styles(@alert-success-bg); }\n.alert-info       { .alert-styles(@alert-info-bg); }\n.alert-warning    { .alert-styles(@alert-warning-bg); }\n.alert-danger     { .alert-styles(@alert-danger-bg); }\n\n\n//\n// Progress bars\n// --------------------------------------------------\n\n// Give the progress background some depth\n.progress {\n  #gradient > .vertical(@start-color: darken(@progress-bg, 4%); @end-color: @progress-bg)\n}\n\n// Mixin for generating new styles\n.progress-bar-styles(@color) {\n  #gradient > .vertical(@start-color: @color; @end-color: darken(@color, 10%));\n}\n\n// Apply the mixin to the progress bars\n.progress-bar            { .progress-bar-styles(@progress-bar-bg); }\n.progress-bar-success    { .progress-bar-styles(@progress-bar-success-bg); }\n.progress-bar-info       { .progress-bar-styles(@progress-bar-info-bg); }\n.progress-bar-warning    { .progress-bar-styles(@progress-bar-warning-bg); }\n.progress-bar-danger     { .progress-bar-styles(@progress-bar-danger-bg); }\n\n// Reset the striped class because our mixins don't do multiple gradients and\n// the above custom styles override the new `.progress-bar-striped` in v3.2.0.\n.progress-bar-striped {\n  #gradient > .striped();\n}\n\n\n//\n// List groups\n// --------------------------------------------------\n\n.list-group {\n  border-radius: @border-radius-base;\n  .box-shadow(0 1px 2px rgba(0, 0, 0, .075));\n}\n.list-group-item.active,\n.list-group-item.active:hover,\n.list-group-item.active:focus {\n  text-shadow: 0 -1px 0 darken(@list-group-active-bg, 10%);\n  #gradient > .vertical(@start-color: @list-group-active-bg; @end-color: darken(@list-group-active-bg, 7.5%));\n  border-color: darken(@list-group-active-border, 7.5%);\n\n  .badge {\n    text-shadow: none;\n  }\n}\n\n\n//\n// Panels\n// --------------------------------------------------\n\n// Common styles\n.panel {\n  .box-shadow(0 1px 2px rgba(0, 0, 0, .05));\n}\n\n// Mixin for generating new styles\n.panel-heading-styles(@color) {\n  #gradient > .vertical(@start-color: @color; @end-color: darken(@color, 5%));\n}\n\n// Apply the mixin to the panel headings only\n.panel-default > .panel-heading   { .panel-heading-styles(@panel-default-heading-bg); }\n.panel-primary > .panel-heading   { .panel-heading-styles(@panel-primary-heading-bg); }\n.panel-success > .panel-heading   { .panel-heading-styles(@panel-success-heading-bg); }\n.panel-info > .panel-heading      { .panel-heading-styles(@panel-info-heading-bg); }\n.panel-warning > .panel-heading   { .panel-heading-styles(@panel-warning-heading-bg); }\n.panel-danger > .panel-heading    { .panel-heading-styles(@panel-danger-heading-bg); }\n\n\n//\n// Wells\n// --------------------------------------------------\n\n.well {\n  #gradient > .vertical(@start-color: darken(@well-bg, 5%); @end-color: @well-bg);\n  border-color: darken(@well-bg, 10%);\n  @shadow: inset 0 1px 3px rgba(0, 0, 0, .05), 0 1px 0 rgba(255, 255, 255, .1);\n  .box-shadow(@shadow);\n}\n","// stylelint-disable indentation, property-no-vendor-prefix, selector-no-vendor-prefix\n\n// Vendor Prefixes\n//\n// All vendor mixins are deprecated as of v3.2.0 due to the introduction of\n// Autoprefixer in our Gruntfile. They have been removed in v4.\n\n// - Animations\n// - Backface visibility\n// - Box shadow\n// - Box sizing\n// - Content columns\n// - Hyphens\n// - Placeholder text\n// - Transformations\n// - Transitions\n// - User Select\n\n\n// Animations\n.animation(@animation) {\n  -webkit-animation: @animation;\n       -o-animation: @animation;\n          animation: @animation;\n}\n.animation-name(@name) {\n  -webkit-animation-name: @name;\n          animation-name: @name;\n}\n.animation-duration(@duration) {\n  -webkit-animation-duration: @duration;\n          animation-duration: @duration;\n}\n.animation-timing-function(@timing-function) {\n  -webkit-animation-timing-function: @timing-function;\n          animation-timing-function: @timing-function;\n}\n.animation-delay(@delay) {\n  -webkit-animation-delay: @delay;\n          animation-delay: @delay;\n}\n.animation-iteration-count(@iteration-count) {\n  -webkit-animation-iteration-count: @iteration-count;\n          animation-iteration-count: @iteration-count;\n}\n.animation-direction(@direction) {\n  -webkit-animation-direction: @direction;\n          animation-direction: @direction;\n}\n.animation-fill-mode(@fill-mode) {\n  -webkit-animation-fill-mode: @fill-mode;\n          animation-fill-mode: @fill-mode;\n}\n\n// Backface visibility\n// Prevent browsers from flickering when using CSS 3D transforms.\n// Default value is `visible`, but can be changed to `hidden`\n\n.backface-visibility(@visibility) {\n  -webkit-backface-visibility: @visibility;\n     -moz-backface-visibility: @visibility;\n          backface-visibility: @visibility;\n}\n\n// Drop shadows\n//\n// Note: Deprecated `.box-shadow()` as of v3.1.0 since all of Bootstrap's\n// supported browsers that have box shadow capabilities now support it.\n\n.box-shadow(@shadow) {\n  -webkit-box-shadow: @shadow; // iOS <4.3 & Android <4.1\n          box-shadow: @shadow;\n}\n\n// Box sizing\n.box-sizing(@boxmodel) {\n  -webkit-box-sizing: @boxmodel;\n     -moz-box-sizing: @boxmodel;\n          box-sizing: @boxmodel;\n}\n\n// CSS3 Content Columns\n.content-columns(@column-count; @column-gap: @grid-gutter-width) {\n  -webkit-column-count: @column-count;\n     -moz-column-count: @column-count;\n          column-count: @column-count;\n  -webkit-column-gap: @column-gap;\n     -moz-column-gap: @column-gap;\n          column-gap: @column-gap;\n}\n\n// Optional hyphenation\n.hyphens(@mode: auto) {\n  -webkit-hyphens: @mode;\n     -moz-hyphens: @mode;\n      -ms-hyphens: @mode; // IE10+\n       -o-hyphens: @mode;\n          hyphens: @mode;\n  word-wrap: break-word;\n}\n\n// Placeholder text\n.placeholder(@color: @input-color-placeholder) {\n  // Firefox\n  &::-moz-placeholder {\n    color: @color;\n    opacity: 1; // Override Firefox's unusual default opacity; see https://github.com/twbs/bootstrap/pull/11526\n  }\n  &:-ms-input-placeholder { color: @color; } // Internet Explorer 10+\n  &::-webkit-input-placeholder  { color: @color; } // Safari and Chrome\n}\n\n// Transformations\n.scale(@ratio) {\n  -webkit-transform: scale(@ratio);\n      -ms-transform: scale(@ratio); // IE9 only\n       -o-transform: scale(@ratio);\n          transform: scale(@ratio);\n}\n.scale(@ratioX; @ratioY) {\n  -webkit-transform: scale(@ratioX, @ratioY);\n      -ms-transform: scale(@ratioX, @ratioY); // IE9 only\n       -o-transform: scale(@ratioX, @ratioY);\n          transform: scale(@ratioX, @ratioY);\n}\n.scaleX(@ratio) {\n  -webkit-transform: scaleX(@ratio);\n      -ms-transform: scaleX(@ratio); // IE9 only\n       -o-transform: scaleX(@ratio);\n          transform: scaleX(@ratio);\n}\n.scaleY(@ratio) {\n  -webkit-transform: scaleY(@ratio);\n      -ms-transform: scaleY(@ratio); // IE9 only\n       -o-transform: scaleY(@ratio);\n          transform: scaleY(@ratio);\n}\n.skew(@x; @y) {\n  -webkit-transform: skewX(@x) skewY(@y);\n      -ms-transform: skewX(@x) skewY(@y); // See https://github.com/twbs/bootstrap/issues/4885; IE9+\n       -o-transform: skewX(@x) skewY(@y);\n          transform: skewX(@x) skewY(@y);\n}\n.translate(@x; @y) {\n  -webkit-transform: translate(@x, @y);\n      -ms-transform: translate(@x, @y); // IE9 only\n       -o-transform: translate(@x, @y);\n          transform: translate(@x, @y);\n}\n.translate3d(@x; @y; @z) {\n  -webkit-transform: translate3d(@x, @y, @z);\n          transform: translate3d(@x, @y, @z);\n}\n.rotate(@degrees) {\n  -webkit-transform: rotate(@degrees);\n      -ms-transform: rotate(@degrees); // IE9 only\n       -o-transform: rotate(@degrees);\n          transform: rotate(@degrees);\n}\n.rotateX(@degrees) {\n  -webkit-transform: rotateX(@degrees);\n      -ms-transform: rotateX(@degrees); // IE9 only\n       -o-transform: rotateX(@degrees);\n          transform: rotateX(@degrees);\n}\n.rotateY(@degrees) {\n  -webkit-transform: rotateY(@degrees);\n      -ms-transform: rotateY(@degrees); // IE9 only\n       -o-transform: rotateY(@degrees);\n          transform: rotateY(@degrees);\n}\n.perspective(@perspective) {\n  -webkit-perspective: @perspective;\n     -moz-perspective: @perspective;\n          perspective: @perspective;\n}\n.perspective-origin(@perspective) {\n  -webkit-perspective-origin: @perspective;\n     -moz-perspective-origin: @perspective;\n          perspective-origin: @perspective;\n}\n.transform-origin(@origin) {\n  -webkit-transform-origin: @origin;\n     -moz-transform-origin: @origin;\n      -ms-transform-origin: @origin; // IE9 only\n          transform-origin: @origin;\n}\n\n\n// Transitions\n\n.transition(@transition) {\n  -webkit-transition: @transition;\n       -o-transition: @transition;\n          transition: @transition;\n}\n.transition-property(@transition-property) {\n  -webkit-transition-property: @transition-property;\n          transition-property: @transition-property;\n}\n.transition-delay(@transition-delay) {\n  -webkit-transition-delay: @transition-delay;\n          transition-delay: @transition-delay;\n}\n.transition-duration(@transition-duration) {\n  -webkit-transition-duration: @transition-duration;\n          transition-duration: @transition-duration;\n}\n.transition-timing-function(@timing-function) {\n  -webkit-transition-timing-function: @timing-function;\n          transition-timing-function: @timing-function;\n}\n.transition-transform(@transition) {\n  -webkit-transition: -webkit-transform @transition;\n     -moz-transition: -moz-transform @transition;\n       -o-transition: -o-transform @transition;\n          transition: transform @transition;\n}\n\n\n// User select\n// For selecting text on the page\n\n.user-select(@select) {\n  -webkit-user-select: @select;\n     -moz-user-select: @select;\n      -ms-user-select: @select; // IE10+\n          user-select: @select;\n}\n","// stylelint-disable value-no-vendor-prefix, selector-max-id\n\n#gradient {\n\n  // Horizontal gradient, from left to right\n  //\n  // Creates two color stops, start and end, by specifying a color and position for each color stop.\n  // Color stops are not available in IE9 and below.\n  .horizontal(@start-color: #555; @end-color: #333; @start-percent: 0%; @end-percent: 100%) {\n    background-image: -webkit-linear-gradient(left, @start-color @start-percent, @end-color @end-percent); // Safari 5.1-6, Chrome 10+\n    background-image: -o-linear-gradient(left, @start-color @start-percent, @end-color @end-percent); // Opera 12\n    background-image: linear-gradient(to right, @start-color @start-percent, @end-color @end-percent); // Standard, IE10, Firefox 16+, Opera 12.10+, Safari 7+, Chrome 26+\n    filter: e(%(\"progid:DXImageTransform.Microsoft.gradient(startColorstr='%d', endColorstr='%d', GradientType=1)\", argb(@start-color), argb(@end-color))); // IE9 and down\n    background-repeat: repeat-x;\n  }\n\n  // Vertical gradient, from top to bottom\n  //\n  // Creates two color stops, start and end, by specifying a color and position for each color stop.\n  // Color stops are not available in IE9 and below.\n  .vertical(@start-color: #555; @end-color: #333; @start-percent: 0%; @end-percent: 100%) {\n    background-image: -webkit-linear-gradient(top, @start-color @start-percent, @end-color @end-percent);  // Safari 5.1-6, Chrome 10+\n    background-image: -o-linear-gradient(top, @start-color @start-percent, @end-color @end-percent);  // Opera 12\n    background-image: linear-gradient(to bottom, @start-color @start-percent, @end-color @end-percent); // Standard, IE10, Firefox 16+, Opera 12.10+, Safari 7+, Chrome 26+\n    filter: e(%(\"progid:DXImageTransform.Microsoft.gradient(startColorstr='%d', endColorstr='%d', GradientType=0)\", argb(@start-color), argb(@end-color))); // IE9 and down\n    background-repeat: repeat-x;\n  }\n\n  .directional(@start-color: #555; @end-color: #333; @deg: 45deg) {\n    background-image: -webkit-linear-gradient(@deg, @start-color, @end-color); // Safari 5.1-6, Chrome 10+\n    background-image: -o-linear-gradient(@deg, @start-color, @end-color); // Opera 12\n    background-image: linear-gradient(@deg, @start-color, @end-color); // Standard, IE10, Firefox 16+, Opera 12.10+, Safari 7+, Chrome 26+\n    background-repeat: repeat-x;\n  }\n  .horizontal-three-colors(@start-color: #00b3ee; @mid-color: #7a43b6; @color-stop: 50%; @end-color: #c3325f) {\n    background-image: -webkit-linear-gradient(left, @start-color, @mid-color @color-stop, @end-color);\n    background-image: -o-linear-gradient(left, @start-color, @mid-color @color-stop, @end-color);\n    background-image: linear-gradient(to right, @start-color, @mid-color @color-stop, @end-color);\n    filter: e(%(\"progid:DXImageTransform.Microsoft.gradient(startColorstr='%d', endColorstr='%d', GradientType=1)\", argb(@start-color), argb(@end-color))); // IE9 and down, gets no color-stop at all for proper fallback\n    background-repeat: no-repeat;\n  }\n  .vertical-three-colors(@start-color: #00b3ee; @mid-color: #7a43b6; @color-stop: 50%; @end-color: #c3325f) {\n    background-image: -webkit-linear-gradient(@start-color, @mid-color @color-stop, @end-color);\n    background-image: -o-linear-gradient(@start-color, @mid-color @color-stop, @end-color);\n    background-image: linear-gradient(@start-color, @mid-color @color-stop, @end-color);\n    filter: e(%(\"progid:DXImageTransform.Microsoft.gradient(startColorstr='%d', endColorstr='%d', GradientType=0)\", argb(@start-color), argb(@end-color))); // IE9 and down, gets no color-stop at all for proper fallback\n    background-repeat: no-repeat;\n  }\n  .radial(@inner-color: #555; @outer-color: #333) {\n    background-image: -webkit-radial-gradient(circle, @inner-color, @outer-color);\n    background-image: radial-gradient(circle, @inner-color, @outer-color);\n    background-repeat: no-repeat;\n  }\n  .striped(@color: rgba(255, 255, 255, .15); @angle: 45deg) {\n    background-image: -webkit-linear-gradient(@angle, @color 25%, transparent 25%, transparent 50%, @color 50%, @color 75%, transparent 75%, transparent);\n    background-image: -o-linear-gradient(@angle, @color 25%, transparent 25%, transparent 50%, @color 50%, @color 75%, transparent 75%, transparent);\n    background-image: linear-gradient(@angle, @color 25%, transparent 25%, transparent 50%, @color 50%, @color 75%, transparent 75%, transparent);\n  }\n}\n","// Reset filters for IE\n//\n// When you need to remove a gradient background, do not forget to use this to reset\n// the IE filter for IE9 and below.\n\n.reset-filter() {\n  filter: e(%(\"progid:DXImageTransform.Microsoft.gradient(enabled = false)\"));\n}\n"]}
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_static/bootstrap-3.4.1/css/bootstrap-theme.min.css b/trackpy/v0.6.2/_static/bootstrap-3.4.1/css/bootstrap-theme.min.css
new file mode 100644
index 00000000..2a69f48c
--- /dev/null
+++ b/trackpy/v0.6.2/_static/bootstrap-3.4.1/css/bootstrap-theme.min.css
@@ -0,0 +1,6 @@
+/*!
+ * Bootstrap v3.4.1 (https://getbootstrap.com/)
+ * Copyright 2011-2019 Twitter, Inc.
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
+ */.btn-danger,.btn-default,.btn-info,.btn-primary,.btn-success,.btn-warning{text-shadow:0 -1px 0 rgba(0,0,0,.2);-webkit-box-shadow:inset 0 1px 0 rgba(255,255,255,.15),0 1px 1px rgba(0,0,0,.075);box-shadow:inset 0 1px 0 rgba(255,255,255,.15),0 1px 1px rgba(0,0,0,.075)}.btn-danger.active,.btn-danger:active,.btn-default.active,.btn-default:active,.btn-info.active,.btn-info:active,.btn-primary.active,.btn-primary:active,.btn-success.active,.btn-success:active,.btn-warning.active,.btn-warning:active{-webkit-box-shadow:inset 0 3px 5px rgba(0,0,0,.125);box-shadow:inset 0 3px 5px rgba(0,0,0,.125)}.btn-danger.disabled,.btn-danger[disabled],.btn-default.disabled,.btn-default[disabled],.btn-info.disabled,.btn-info[disabled],.btn-primary.disabled,.btn-primary[disabled],.btn-success.disabled,.btn-success[disabled],.btn-warning.disabled,.btn-warning[disabled],fieldset[disabled] .btn-danger,fieldset[disabled] .btn-default,fieldset[disabled] .btn-info,fieldset[disabled] 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100%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff265a88', GradientType=0);filter:progid:DXImageTransform.Microsoft.gradient(enabled=false);background-repeat:repeat-x;border-color:#245580}.btn-primary:focus,.btn-primary:hover{background-color:#265a88;background-position:0 -15px}.btn-primary.active,.btn-primary:active{background-color:#265a88;border-color:#245580}.btn-primary.disabled,.btn-primary.disabled.active,.btn-primary.disabled.focus,.btn-primary.disabled:active,.btn-primary.disabled:focus,.btn-primary.disabled:hover,.btn-primary[disabled],.btn-primary[disabled].active,.btn-primary[disabled].focus,.btn-primary[disabled]:active,.btn-primary[disabled]:focus,.btn-primary[disabled]:hover,fieldset[disabled] .btn-primary,fieldset[disabled] .btn-primary.active,fieldset[disabled] .btn-primary.focus,fieldset[disabled] .btn-primary:active,fieldset[disabled] .btn-primary:focus,fieldset[disabled] 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filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffffffff', endColorstr='#ffe0e0e0', GradientType=0);\n  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);\n  background-repeat: repeat-x;\n  border-color: #dbdbdb;\n  text-shadow: 0 1px 0 #fff;\n  border-color: #ccc;\n}\n.btn-default:hover,\n.btn-default:focus {\n  background-color: #e0e0e0;\n  background-position: 0 -15px;\n}\n.btn-default:active,\n.btn-default.active {\n  background-color: #e0e0e0;\n  border-color: #dbdbdb;\n}\n.btn-default.disabled,\n.btn-default[disabled],\nfieldset[disabled] .btn-default,\n.btn-default.disabled:hover,\n.btn-default[disabled]:hover,\nfieldset[disabled] .btn-default:hover,\n.btn-default.disabled:focus,\n.btn-default[disabled]:focus,\nfieldset[disabled] .btn-default:focus,\n.btn-default.disabled.focus,\n.btn-default[disabled].focus,\nfieldset[disabled] .btn-default.focus,\n.btn-default.disabled:active,\n.btn-default[disabled]:active,\nfieldset[disabled] 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progid:DXImageTransform.Microsoft.gradient(enabled = false);\n  background-repeat: repeat-x;\n  border-color: #3e8f3e;\n}\n.btn-success:hover,\n.btn-success:focus {\n  background-color: #419641;\n  background-position: 0 -15px;\n}\n.btn-success:active,\n.btn-success.active {\n  background-color: #419641;\n  border-color: #3e8f3e;\n}\n.btn-success.disabled,\n.btn-success[disabled],\nfieldset[disabled] .btn-success,\n.btn-success.disabled:hover,\n.btn-success[disabled]:hover,\nfieldset[disabled] .btn-success:hover,\n.btn-success.disabled:focus,\n.btn-success[disabled]:focus,\nfieldset[disabled] .btn-success:focus,\n.btn-success.disabled.focus,\n.btn-success[disabled].focus,\nfieldset[disabled] .btn-success.focus,\n.btn-success.disabled:active,\n.btn-success[disabled]:active,\nfieldset[disabled] .btn-success:active,\n.btn-success.disabled.active,\n.btn-success[disabled].active,\nfieldset[disabled] .btn-success.active {\n  background-color: #419641;\n  background-image: none;\n}\n.btn-info {\n  background-image: -webkit-linear-gradient(top, #5bc0de 0%, #2aabd2 100%);\n  background-image: -o-linear-gradient(top, #5bc0de 0%, #2aabd2 100%);\n  background-image: linear-gradient(to bottom, #5bc0de 0%, #2aabd2 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff5bc0de', endColorstr='#ff2aabd2', GradientType=0);\n  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);\n  background-repeat: repeat-x;\n  border-color: #28a4c9;\n}\n.btn-info:hover,\n.btn-info:focus {\n  background-color: #2aabd2;\n  background-position: 0 -15px;\n}\n.btn-info:active,\n.btn-info.active {\n  background-color: #2aabd2;\n  border-color: #28a4c9;\n}\n.btn-info.disabled,\n.btn-info[disabled],\nfieldset[disabled] .btn-info,\n.btn-info.disabled:hover,\n.btn-info[disabled]:hover,\nfieldset[disabled] .btn-info:hover,\n.btn-info.disabled:focus,\n.btn-info[disabled]:focus,\nfieldset[disabled] .btn-info:focus,\n.btn-info.disabled.focus,\n.btn-info[disabled].focus,\nfieldset[disabled] .btn-info.focus,\n.btn-info.disabled:active,\n.btn-info[disabled]:active,\nfieldset[disabled] .btn-info:active,\n.btn-info.disabled.active,\n.btn-info[disabled].active,\nfieldset[disabled] .btn-info.active {\n  background-color: #2aabd2;\n  background-image: none;\n}\n.btn-warning {\n  background-image: -webkit-linear-gradient(top, #f0ad4e 0%, #eb9316 100%);\n  background-image: -o-linear-gradient(top, #f0ad4e 0%, #eb9316 100%);\n  background-image: linear-gradient(to bottom, #f0ad4e 0%, #eb9316 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff0ad4e', endColorstr='#ffeb9316', GradientType=0);\n  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);\n  background-repeat: repeat-x;\n  border-color: #e38d13;\n}\n.btn-warning:hover,\n.btn-warning:focus {\n  background-color: #eb9316;\n  background-position: 0 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100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffd9534f', endColorstr='#ffc12e2a', GradientType=0);\n  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);\n  background-repeat: repeat-x;\n  border-color: #b92c28;\n}\n.btn-danger:hover,\n.btn-danger:focus {\n  background-color: #c12e2a;\n  background-position: 0 -15px;\n}\n.btn-danger:active,\n.btn-danger.active {\n  background-color: #c12e2a;\n  border-color: #b92c28;\n}\n.btn-danger.disabled,\n.btn-danger[disabled],\nfieldset[disabled] .btn-danger,\n.btn-danger.disabled:hover,\n.btn-danger[disabled]:hover,\nfieldset[disabled] .btn-danger:hover,\n.btn-danger.disabled:focus,\n.btn-danger[disabled]:focus,\nfieldset[disabled] .btn-danger:focus,\n.btn-danger.disabled.focus,\n.btn-danger[disabled].focus,\nfieldset[disabled] .btn-danger.focus,\n.btn-danger.disabled:active,\n.btn-danger[disabled]:active,\nfieldset[disabled] .btn-danger:active,\n.btn-danger.disabled.active,\n.btn-danger[disabled].active,\nfieldset[disabled] .btn-danger.active {\n  background-color: #c12e2a;\n  background-image: none;\n}\n.thumbnail,\n.img-thumbnail {\n  -webkit-box-shadow: 0 1px 2px rgba(0, 0, 0, 0.075);\n  box-shadow: 0 1px 2px rgba(0, 0, 0, 0.075);\n}\n.dropdown-menu > li > a:hover,\n.dropdown-menu > li > a:focus {\n  background-image: -webkit-linear-gradient(top, #f5f5f5 0%, #e8e8e8 100%);\n  background-image: -o-linear-gradient(top, #f5f5f5 0%, #e8e8e8 100%);\n  background-image: linear-gradient(to bottom, #f5f5f5 0%, #e8e8e8 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff5f5f5', endColorstr='#ffe8e8e8', GradientType=0);\n  background-repeat: repeat-x;\n  background-color: #e8e8e8;\n}\n.dropdown-menu > .active > a,\n.dropdown-menu > .active > a:hover,\n.dropdown-menu > .active > a:focus {\n  background-image: -webkit-linear-gradient(top, #337ab7 0%, #2e6da4 100%);\n  background-image: -o-linear-gradient(top, #337ab7 0%, #2e6da4 100%);\n  background-image: linear-gradient(to bottom, #337ab7 0%, #2e6da4 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff2e6da4', GradientType=0);\n  background-repeat: repeat-x;\n  background-color: #2e6da4;\n}\n.navbar-default {\n  background-image: -webkit-linear-gradient(top, #ffffff 0%, #f8f8f8 100%);\n  background-image: -o-linear-gradient(top, #ffffff 0%, #f8f8f8 100%);\n  background-image: linear-gradient(to bottom, #ffffff 0%, #f8f8f8 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffffffff', endColorstr='#fff8f8f8', GradientType=0);\n  background-repeat: repeat-x;\n  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);\n  border-radius: 4px;\n  -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.15), 0 1px 5px rgba(0, 0, 0, 0.075);\n  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.15), 0 1px 5px rgba(0, 0, 0, 0.075);\n}\n.navbar-default .navbar-nav > .open > a,\n.navbar-default .navbar-nav > .active > a {\n  background-image: -webkit-linear-gradient(top, #dbdbdb 0%, #e2e2e2 100%);\n  background-image: -o-linear-gradient(top, #dbdbdb 0%, #e2e2e2 100%);\n  background-image: linear-gradient(to bottom, #dbdbdb 0%, #e2e2e2 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffdbdbdb', endColorstr='#ffe2e2e2', GradientType=0);\n  background-repeat: repeat-x;\n  -webkit-box-shadow: inset 0 3px 9px rgba(0, 0, 0, 0.075);\n  box-shadow: inset 0 3px 9px rgba(0, 0, 0, 0.075);\n}\n.navbar-brand,\n.navbar-nav > li > a {\n  text-shadow: 0 1px 0 rgba(255, 255, 255, 0.25);\n}\n.navbar-inverse {\n  background-image: -webkit-linear-gradient(top, #3c3c3c 0%, #222 100%);\n  background-image: -o-linear-gradient(top, #3c3c3c 0%, #222 100%);\n  background-image: linear-gradient(to bottom, #3c3c3c 0%, #222 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff3c3c3c', endColorstr='#ff222222', GradientType=0);\n  background-repeat: repeat-x;\n  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);\n  border-radius: 4px;\n}\n.navbar-inverse .navbar-nav > .open > a,\n.navbar-inverse .navbar-nav > .active > a {\n  background-image: -webkit-linear-gradient(top, #080808 0%, #0f0f0f 100%);\n  background-image: -o-linear-gradient(top, #080808 0%, #0f0f0f 100%);\n  background-image: linear-gradient(to bottom, #080808 0%, #0f0f0f 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff080808', endColorstr='#ff0f0f0f', GradientType=0);\n  background-repeat: repeat-x;\n  -webkit-box-shadow: inset 0 3px 9px rgba(0, 0, 0, 0.25);\n  box-shadow: inset 0 3px 9px rgba(0, 0, 0, 0.25);\n}\n.navbar-inverse .navbar-brand,\n.navbar-inverse .navbar-nav > li > a {\n  text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.25);\n}\n.navbar-static-top,\n.navbar-fixed-top,\n.navbar-fixed-bottom {\n  border-radius: 0;\n}\n@media (max-width: 767px) {\n  .navbar .navbar-nav .open .dropdown-menu > .active > a,\n  .navbar .navbar-nav .open .dropdown-menu > .active > a:hover,\n  .navbar .navbar-nav .open .dropdown-menu > .active > a:focus {\n    color: #fff;\n    background-image: -webkit-linear-gradient(top, #337ab7 0%, #2e6da4 100%);\n    background-image: -o-linear-gradient(top, #337ab7 0%, #2e6da4 100%);\n    background-image: linear-gradient(to bottom, #337ab7 0%, #2e6da4 100%);\n    filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff2e6da4', GradientType=0);\n    background-repeat: repeat-x;\n  }\n}\n.alert {\n  text-shadow: 0 1px 0 rgba(255, 255, 255, 0.2);\n  -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.25), 0 1px 2px rgba(0, 0, 0, 0.05);\n  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.25), 0 1px 2px rgba(0, 0, 0, 0.05);\n}\n.alert-success {\n  background-image: -webkit-linear-gradient(top, #dff0d8 0%, #c8e5bc 100%);\n  background-image: -o-linear-gradient(top, #dff0d8 0%, #c8e5bc 100%);\n  background-image: linear-gradient(to bottom, #dff0d8 0%, #c8e5bc 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffdff0d8', endColorstr='#ffc8e5bc', GradientType=0);\n  background-repeat: repeat-x;\n  border-color: #b2dba1;\n}\n.alert-info {\n  background-image: -webkit-linear-gradient(top, #d9edf7 0%, #b9def0 100%);\n  background-image: -o-linear-gradient(top, #d9edf7 0%, #b9def0 100%);\n  background-image: linear-gradient(to bottom, #d9edf7 0%, #b9def0 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffd9edf7', endColorstr='#ffb9def0', GradientType=0);\n  background-repeat: repeat-x;\n  border-color: #9acfea;\n}\n.alert-warning {\n  background-image: -webkit-linear-gradient(top, #fcf8e3 0%, #f8efc0 100%);\n  background-image: -o-linear-gradient(top, #fcf8e3 0%, #f8efc0 100%);\n  background-image: linear-gradient(to bottom, #fcf8e3 0%, #f8efc0 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fffcf8e3', endColorstr='#fff8efc0', GradientType=0);\n  background-repeat: repeat-x;\n  border-color: #f5e79e;\n}\n.alert-danger {\n  background-image: -webkit-linear-gradient(top, #f2dede 0%, #e7c3c3 100%);\n  background-image: -o-linear-gradient(top, #f2dede 0%, #e7c3c3 100%);\n  background-image: linear-gradient(to bottom, #f2dede 0%, #e7c3c3 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff2dede', endColorstr='#ffe7c3c3', GradientType=0);\n  background-repeat: repeat-x;\n  border-color: #dca7a7;\n}\n.progress {\n  background-image: -webkit-linear-gradient(top, #ebebeb 0%, #f5f5f5 100%);\n  background-image: -o-linear-gradient(top, #ebebeb 0%, #f5f5f5 100%);\n  background-image: linear-gradient(to bottom, #ebebeb 0%, #f5f5f5 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffebebeb', endColorstr='#fff5f5f5', GradientType=0);\n  background-repeat: repeat-x;\n}\n.progress-bar {\n  background-image: -webkit-linear-gradient(top, #337ab7 0%, #286090 100%);\n  background-image: -o-linear-gradient(top, #337ab7 0%, #286090 100%);\n  background-image: linear-gradient(to bottom, #337ab7 0%, #286090 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff286090', GradientType=0);\n  background-repeat: repeat-x;\n}\n.progress-bar-success {\n  background-image: -webkit-linear-gradient(top, #5cb85c 0%, #449d44 100%);\n  background-image: -o-linear-gradient(top, #5cb85c 0%, #449d44 100%);\n  background-image: linear-gradient(to bottom, #5cb85c 0%, #449d44 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff5cb85c', endColorstr='#ff449d44', GradientType=0);\n  background-repeat: repeat-x;\n}\n.progress-bar-info {\n  background-image: -webkit-linear-gradient(top, #5bc0de 0%, #31b0d5 100%);\n  background-image: -o-linear-gradient(top, #5bc0de 0%, #31b0d5 100%);\n  background-image: linear-gradient(to bottom, #5bc0de 0%, #31b0d5 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff5bc0de', endColorstr='#ff31b0d5', GradientType=0);\n  background-repeat: repeat-x;\n}\n.progress-bar-warning {\n  background-image: -webkit-linear-gradient(top, #f0ad4e 0%, #ec971f 100%);\n  background-image: -o-linear-gradient(top, #f0ad4e 0%, #ec971f 100%);\n  background-image: linear-gradient(to bottom, #f0ad4e 0%, #ec971f 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff0ad4e', endColorstr='#ffec971f', GradientType=0);\n  background-repeat: repeat-x;\n}\n.progress-bar-danger {\n  background-image: -webkit-linear-gradient(top, #d9534f 0%, #c9302c 100%);\n  background-image: -o-linear-gradient(top, #d9534f 0%, #c9302c 100%);\n  background-image: linear-gradient(to bottom, #d9534f 0%, #c9302c 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffd9534f', endColorstr='#ffc9302c', GradientType=0);\n  background-repeat: repeat-x;\n}\n.progress-bar-striped {\n  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n}\n.list-group {\n  border-radius: 4px;\n  -webkit-box-shadow: 0 1px 2px rgba(0, 0, 0, 0.075);\n  box-shadow: 0 1px 2px rgba(0, 0, 0, 0.075);\n}\n.list-group-item.active,\n.list-group-item.active:hover,\n.list-group-item.active:focus {\n  text-shadow: 0 -1px 0 #286090;\n  background-image: -webkit-linear-gradient(top, #337ab7 0%, #2b669a 100%);\n  background-image: -o-linear-gradient(top, #337ab7 0%, #2b669a 100%);\n  background-image: linear-gradient(to bottom, #337ab7 0%, #2b669a 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff2b669a', GradientType=0);\n  background-repeat: repeat-x;\n  border-color: #2b669a;\n}\n.list-group-item.active .badge,\n.list-group-item.active:hover .badge,\n.list-group-item.active:focus .badge {\n  text-shadow: none;\n}\n.panel {\n  -webkit-box-shadow: 0 1px 2px rgba(0, 0, 0, 0.05);\n  box-shadow: 0 1px 2px rgba(0, 0, 0, 0.05);\n}\n.panel-default > .panel-heading {\n  background-image: -webkit-linear-gradient(top, #f5f5f5 0%, #e8e8e8 100%);\n  background-image: -o-linear-gradient(top, #f5f5f5 0%, #e8e8e8 100%);\n  background-image: linear-gradient(to bottom, #f5f5f5 0%, #e8e8e8 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff5f5f5', endColorstr='#ffe8e8e8', GradientType=0);\n  background-repeat: repeat-x;\n}\n.panel-primary > .panel-heading {\n  background-image: -webkit-linear-gradient(top, #337ab7 0%, #2e6da4 100%);\n  background-image: -o-linear-gradient(top, #337ab7 0%, #2e6da4 100%);\n  background-image: linear-gradient(to bottom, #337ab7 0%, #2e6da4 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff2e6da4', GradientType=0);\n  background-repeat: repeat-x;\n}\n.panel-success > .panel-heading {\n  background-image: -webkit-linear-gradient(top, #dff0d8 0%, #d0e9c6 100%);\n  background-image: -o-linear-gradient(top, #dff0d8 0%, #d0e9c6 100%);\n  background-image: linear-gradient(to bottom, #dff0d8 0%, #d0e9c6 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffdff0d8', endColorstr='#ffd0e9c6', GradientType=0);\n  background-repeat: repeat-x;\n}\n.panel-info > .panel-heading {\n  background-image: -webkit-linear-gradient(top, #d9edf7 0%, #c4e3f3 100%);\n  background-image: -o-linear-gradient(top, #d9edf7 0%, #c4e3f3 100%);\n  background-image: linear-gradient(to bottom, #d9edf7 0%, #c4e3f3 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffd9edf7', endColorstr='#ffc4e3f3', GradientType=0);\n  background-repeat: repeat-x;\n}\n.panel-warning > .panel-heading {\n  background-image: -webkit-linear-gradient(top, #fcf8e3 0%, #faf2cc 100%);\n  background-image: -o-linear-gradient(top, #fcf8e3 0%, #faf2cc 100%);\n  background-image: linear-gradient(to bottom, #fcf8e3 0%, #faf2cc 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fffcf8e3', endColorstr='#fffaf2cc', GradientType=0);\n  background-repeat: repeat-x;\n}\n.panel-danger > .panel-heading {\n  background-image: -webkit-linear-gradient(top, #f2dede 0%, #ebcccc 100%);\n  background-image: -o-linear-gradient(top, #f2dede 0%, #ebcccc 100%);\n  background-image: linear-gradient(to bottom, #f2dede 0%, #ebcccc 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff2dede', endColorstr='#ffebcccc', GradientType=0);\n  background-repeat: repeat-x;\n}\n.well {\n  background-image: -webkit-linear-gradient(top, #e8e8e8 0%, #f5f5f5 100%);\n  background-image: -o-linear-gradient(top, #e8e8e8 0%, #f5f5f5 100%);\n  background-image: linear-gradient(to bottom, #e8e8e8 0%, #f5f5f5 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffe8e8e8', endColorstr='#fff5f5f5', GradientType=0);\n  background-repeat: repeat-x;\n  border-color: #dcdcdc;\n  -webkit-box-shadow: inset 0 1px 3px rgba(0, 0, 0, 0.05), 0 1px 0 rgba(255, 255, 255, 0.1);\n  box-shadow: inset 0 1px 3px rgba(0, 0, 0, 0.05), 0 1px 0 rgba(255, 255, 255, 0.1);\n}\n/*# sourceMappingURL=bootstrap-theme.css.map */","/*!\n * Bootstrap v3.4.1 (https://getbootstrap.com/)\n * Copyright 2011-2019 Twitter, Inc.\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)\n */\n.btn-default,\n.btn-primary,\n.btn-success,\n.btn-info,\n.btn-warning,\n.btn-danger {\n  text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.2);\n  -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.15), 0 1px 1px rgba(0, 0, 0, 0.075);\n  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.15), 0 1px 1px rgba(0, 0, 0, 0.075);\n}\n.btn-default:active,\n.btn-primary:active,\n.btn-success:active,\n.btn-info:active,\n.btn-warning:active,\n.btn-danger:active,\n.btn-default.active,\n.btn-primary.active,\n.btn-success.active,\n.btn-info.active,\n.btn-warning.active,\n.btn-danger.active {\n  -webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n}\n.btn-default.disabled,\n.btn-primary.disabled,\n.btn-success.disabled,\n.btn-info.disabled,\n.btn-warning.disabled,\n.btn-danger.disabled,\n.btn-default[disabled],\n.btn-primary[disabled],\n.btn-success[disabled],\n.btn-info[disabled],\n.btn-warning[disabled],\n.btn-danger[disabled],\nfieldset[disabled] .btn-default,\nfieldset[disabled] .btn-primary,\nfieldset[disabled] .btn-success,\nfieldset[disabled] .btn-info,\nfieldset[disabled] .btn-warning,\nfieldset[disabled] .btn-danger {\n  -webkit-box-shadow: none;\n  box-shadow: none;\n}\n.btn-default .badge,\n.btn-primary .badge,\n.btn-success .badge,\n.btn-info .badge,\n.btn-warning .badge,\n.btn-danger .badge {\n  text-shadow: none;\n}\n.btn:active,\n.btn.active {\n  background-image: none;\n}\n.btn-default {\n  background-image: -webkit-linear-gradient(top, #fff 0%, #e0e0e0 100%);\n  background-image: -o-linear-gradient(top, #fff 0%, #e0e0e0 100%);\n  background-image: -webkit-gradient(linear, left top, left bottom, from(#fff), to(#e0e0e0));\n  background-image: linear-gradient(to bottom, #fff 0%, #e0e0e0 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffffffff', endColorstr='#ffe0e0e0', GradientType=0);\n  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);\n  background-repeat: repeat-x;\n  border-color: #dbdbdb;\n  text-shadow: 0 1px 0 #fff;\n  border-color: #ccc;\n}\n.btn-default:hover,\n.btn-default:focus {\n  background-color: #e0e0e0;\n  background-position: 0 -15px;\n}\n.btn-default:active,\n.btn-default.active {\n  background-color: #e0e0e0;\n  border-color: #dbdbdb;\n}\n.btn-default.disabled,\n.btn-default[disabled],\nfieldset[disabled] .btn-default,\n.btn-default.disabled:hover,\n.btn-default[disabled]:hover,\nfieldset[disabled] .btn-default:hover,\n.btn-default.disabled:focus,\n.btn-default[disabled]:focus,\nfieldset[disabled] .btn-default:focus,\n.btn-default.disabled.focus,\n.btn-default[disabled].focus,\nfieldset[disabled] .btn-default.focus,\n.btn-default.disabled:active,\n.btn-default[disabled]:active,\nfieldset[disabled] .btn-default:active,\n.btn-default.disabled.active,\n.btn-default[disabled].active,\nfieldset[disabled] .btn-default.active {\n  background-color: #e0e0e0;\n  background-image: none;\n}\n.btn-primary {\n  background-image: -webkit-linear-gradient(top, #337ab7 0%, #265a88 100%);\n  background-image: -o-linear-gradient(top, #337ab7 0%, #265a88 100%);\n  background-image: -webkit-gradient(linear, left top, left bottom, from(#337ab7), to(#265a88));\n  background-image: linear-gradient(to bottom, #337ab7 0%, #265a88 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff265a88', GradientType=0);\n  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);\n  background-repeat: repeat-x;\n  border-color: #245580;\n}\n.btn-primary:hover,\n.btn-primary:focus {\n  background-color: #265a88;\n  background-position: 0 -15px;\n}\n.btn-primary:active,\n.btn-primary.active {\n  background-color: #265a88;\n  border-color: #245580;\n}\n.btn-primary.disabled,\n.btn-primary[disabled],\nfieldset[disabled] .btn-primary,\n.btn-primary.disabled:hover,\n.btn-primary[disabled]:hover,\nfieldset[disabled] .btn-primary:hover,\n.btn-primary.disabled:focus,\n.btn-primary[disabled]:focus,\nfieldset[disabled] .btn-primary:focus,\n.btn-primary.disabled.focus,\n.btn-primary[disabled].focus,\nfieldset[disabled] .btn-primary.focus,\n.btn-primary.disabled:active,\n.btn-primary[disabled]:active,\nfieldset[disabled] .btn-primary:active,\n.btn-primary.disabled.active,\n.btn-primary[disabled].active,\nfieldset[disabled] .btn-primary.active {\n  background-color: #265a88;\n  background-image: none;\n}\n.btn-success {\n  background-image: -webkit-linear-gradient(top, #5cb85c 0%, #419641 100%);\n  background-image: -o-linear-gradient(top, #5cb85c 0%, #419641 100%);\n  background-image: -webkit-gradient(linear, left top, left bottom, from(#5cb85c), to(#419641));\n  background-image: linear-gradient(to bottom, #5cb85c 0%, #419641 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff5cb85c', endColorstr='#ff419641', GradientType=0);\n  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);\n  background-repeat: repeat-x;\n  border-color: #3e8f3e;\n}\n.btn-success:hover,\n.btn-success:focus {\n  background-color: #419641;\n  background-position: 0 -15px;\n}\n.btn-success:active,\n.btn-success.active {\n  background-color: #419641;\n  border-color: #3e8f3e;\n}\n.btn-success.disabled,\n.btn-success[disabled],\nfieldset[disabled] .btn-success,\n.btn-success.disabled:hover,\n.btn-success[disabled]:hover,\nfieldset[disabled] .btn-success:hover,\n.btn-success.disabled:focus,\n.btn-success[disabled]:focus,\nfieldset[disabled] .btn-success:focus,\n.btn-success.disabled.focus,\n.btn-success[disabled].focus,\nfieldset[disabled] .btn-success.focus,\n.btn-success.disabled:active,\n.btn-success[disabled]:active,\nfieldset[disabled] .btn-success:active,\n.btn-success.disabled.active,\n.btn-success[disabled].active,\nfieldset[disabled] .btn-success.active {\n  background-color: #419641;\n  background-image: none;\n}\n.btn-info {\n  background-image: -webkit-linear-gradient(top, #5bc0de 0%, #2aabd2 100%);\n  background-image: -o-linear-gradient(top, #5bc0de 0%, #2aabd2 100%);\n  background-image: -webkit-gradient(linear, left top, left bottom, from(#5bc0de), to(#2aabd2));\n  background-image: linear-gradient(to bottom, #5bc0de 0%, #2aabd2 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff5bc0de', endColorstr='#ff2aabd2', GradientType=0);\n  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);\n  background-repeat: repeat-x;\n  border-color: #28a4c9;\n}\n.btn-info:hover,\n.btn-info:focus {\n  background-color: #2aabd2;\n  background-position: 0 -15px;\n}\n.btn-info:active,\n.btn-info.active {\n  background-color: #2aabd2;\n  border-color: #28a4c9;\n}\n.btn-info.disabled,\n.btn-info[disabled],\nfieldset[disabled] .btn-info,\n.btn-info.disabled:hover,\n.btn-info[disabled]:hover,\nfieldset[disabled] .btn-info:hover,\n.btn-info.disabled:focus,\n.btn-info[disabled]:focus,\nfieldset[disabled] .btn-info:focus,\n.btn-info.disabled.focus,\n.btn-info[disabled].focus,\nfieldset[disabled] .btn-info.focus,\n.btn-info.disabled:active,\n.btn-info[disabled]:active,\nfieldset[disabled] .btn-info:active,\n.btn-info.disabled.active,\n.btn-info[disabled].active,\nfieldset[disabled] .btn-info.active {\n  background-color: #2aabd2;\n  background-image: none;\n}\n.btn-warning {\n  background-image: -webkit-linear-gradient(top, #f0ad4e 0%, #eb9316 100%);\n  background-image: -o-linear-gradient(top, #f0ad4e 0%, #eb9316 100%);\n  background-image: -webkit-gradient(linear, left top, left bottom, from(#f0ad4e), to(#eb9316));\n  background-image: linear-gradient(to bottom, #f0ad4e 0%, #eb9316 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff0ad4e', endColorstr='#ffeb9316', GradientType=0);\n  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);\n  background-repeat: repeat-x;\n  border-color: #e38d13;\n}\n.btn-warning:hover,\n.btn-warning:focus {\n  background-color: #eb9316;\n  background-position: 0 -15px;\n}\n.btn-warning:active,\n.btn-warning.active {\n  background-color: #eb9316;\n  border-color: #e38d13;\n}\n.btn-warning.disabled,\n.btn-warning[disabled],\nfieldset[disabled] .btn-warning,\n.btn-warning.disabled:hover,\n.btn-warning[disabled]:hover,\nfieldset[disabled] .btn-warning:hover,\n.btn-warning.disabled:focus,\n.btn-warning[disabled]:focus,\nfieldset[disabled] .btn-warning:focus,\n.btn-warning.disabled.focus,\n.btn-warning[disabled].focus,\nfieldset[disabled] .btn-warning.focus,\n.btn-warning.disabled:active,\n.btn-warning[disabled]:active,\nfieldset[disabled] .btn-warning:active,\n.btn-warning.disabled.active,\n.btn-warning[disabled].active,\nfieldset[disabled] .btn-warning.active {\n  background-color: #eb9316;\n  background-image: none;\n}\n.btn-danger {\n  background-image: -webkit-linear-gradient(top, #d9534f 0%, #c12e2a 100%);\n  background-image: -o-linear-gradient(top, #d9534f 0%, #c12e2a 100%);\n  background-image: -webkit-gradient(linear, left top, left bottom, from(#d9534f), to(#c12e2a));\n  background-image: linear-gradient(to bottom, #d9534f 0%, #c12e2a 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffd9534f', endColorstr='#ffc12e2a', GradientType=0);\n  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);\n  background-repeat: repeat-x;\n  border-color: #b92c28;\n}\n.btn-danger:hover,\n.btn-danger:focus {\n  background-color: #c12e2a;\n  background-position: 0 -15px;\n}\n.btn-danger:active,\n.btn-danger.active {\n  background-color: #c12e2a;\n  border-color: #b92c28;\n}\n.btn-danger.disabled,\n.btn-danger[disabled],\nfieldset[disabled] .btn-danger,\n.btn-danger.disabled:hover,\n.btn-danger[disabled]:hover,\nfieldset[disabled] .btn-danger:hover,\n.btn-danger.disabled:focus,\n.btn-danger[disabled]:focus,\nfieldset[disabled] .btn-danger:focus,\n.btn-danger.disabled.focus,\n.btn-danger[disabled].focus,\nfieldset[disabled] .btn-danger.focus,\n.btn-danger.disabled:active,\n.btn-danger[disabled]:active,\nfieldset[disabled] .btn-danger:active,\n.btn-danger.disabled.active,\n.btn-danger[disabled].active,\nfieldset[disabled] .btn-danger.active {\n  background-color: #c12e2a;\n  background-image: none;\n}\n.thumbnail,\n.img-thumbnail {\n  -webkit-box-shadow: 0 1px 2px rgba(0, 0, 0, 0.075);\n  box-shadow: 0 1px 2px rgba(0, 0, 0, 0.075);\n}\n.dropdown-menu > li > a:hover,\n.dropdown-menu > li > a:focus {\n  background-image: -webkit-linear-gradient(top, #f5f5f5 0%, #e8e8e8 100%);\n  background-image: -o-linear-gradient(top, #f5f5f5 0%, #e8e8e8 100%);\n  background-image: -webkit-gradient(linear, left top, left bottom, from(#f5f5f5), to(#e8e8e8));\n  background-image: linear-gradient(to bottom, #f5f5f5 0%, #e8e8e8 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff5f5f5', endColorstr='#ffe8e8e8', GradientType=0);\n  background-repeat: repeat-x;\n  background-color: #e8e8e8;\n}\n.dropdown-menu > .active > a,\n.dropdown-menu > .active > a:hover,\n.dropdown-menu > .active > a:focus {\n  background-image: -webkit-linear-gradient(top, #337ab7 0%, #2e6da4 100%);\n  background-image: -o-linear-gradient(top, #337ab7 0%, #2e6da4 100%);\n  background-image: -webkit-gradient(linear, left top, left bottom, from(#337ab7), to(#2e6da4));\n  background-image: linear-gradient(to bottom, #337ab7 0%, #2e6da4 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff2e6da4', GradientType=0);\n  background-repeat: repeat-x;\n  background-color: #2e6da4;\n}\n.navbar-default {\n  background-image: -webkit-linear-gradient(top, #ffffff 0%, #f8f8f8 100%);\n  background-image: -o-linear-gradient(top, #ffffff 0%, #f8f8f8 100%);\n  background-image: -webkit-gradient(linear, left top, left bottom, from(#ffffff), to(#f8f8f8));\n  background-image: linear-gradient(to bottom, #ffffff 0%, #f8f8f8 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffffffff', endColorstr='#fff8f8f8', GradientType=0);\n  background-repeat: repeat-x;\n  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);\n  border-radius: 4px;\n  -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.15), 0 1px 5px rgba(0, 0, 0, 0.075);\n  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.15), 0 1px 5px rgba(0, 0, 0, 0.075);\n}\n.navbar-default .navbar-nav > .open > a,\n.navbar-default .navbar-nav > .active > a {\n  background-image: -webkit-linear-gradient(top, #dbdbdb 0%, #e2e2e2 100%);\n  background-image: -o-linear-gradient(top, #dbdbdb 0%, #e2e2e2 100%);\n  background-image: -webkit-gradient(linear, left top, left bottom, from(#dbdbdb), to(#e2e2e2));\n  background-image: linear-gradient(to bottom, #dbdbdb 0%, #e2e2e2 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffdbdbdb', endColorstr='#ffe2e2e2', GradientType=0);\n  background-repeat: repeat-x;\n  -webkit-box-shadow: inset 0 3px 9px rgba(0, 0, 0, 0.075);\n  box-shadow: inset 0 3px 9px rgba(0, 0, 0, 0.075);\n}\n.navbar-brand,\n.navbar-nav > li > a {\n  text-shadow: 0 1px 0 rgba(255, 255, 255, 0.25);\n}\n.navbar-inverse {\n  background-image: -webkit-linear-gradient(top, #3c3c3c 0%, #222 100%);\n  background-image: -o-linear-gradient(top, #3c3c3c 0%, #222 100%);\n  background-image: -webkit-gradient(linear, left top, left bottom, from(#3c3c3c), to(#222));\n  background-image: linear-gradient(to bottom, #3c3c3c 0%, #222 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff3c3c3c', endColorstr='#ff222222', GradientType=0);\n  background-repeat: repeat-x;\n  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);\n  border-radius: 4px;\n}\n.navbar-inverse .navbar-nav > .open > a,\n.navbar-inverse .navbar-nav > .active > a {\n  background-image: -webkit-linear-gradient(top, #080808 0%, #0f0f0f 100%);\n  background-image: -o-linear-gradient(top, #080808 0%, #0f0f0f 100%);\n  background-image: -webkit-gradient(linear, left top, left bottom, from(#080808), to(#0f0f0f));\n  background-image: linear-gradient(to bottom, #080808 0%, #0f0f0f 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff080808', endColorstr='#ff0f0f0f', GradientType=0);\n  background-repeat: repeat-x;\n  -webkit-box-shadow: inset 0 3px 9px rgba(0, 0, 0, 0.25);\n  box-shadow: inset 0 3px 9px rgba(0, 0, 0, 0.25);\n}\n.navbar-inverse .navbar-brand,\n.navbar-inverse .navbar-nav > li > a {\n  text-shadow: 0 -1px 0 rgba(0, 0, 0, 0.25);\n}\n.navbar-static-top,\n.navbar-fixed-top,\n.navbar-fixed-bottom {\n  border-radius: 0;\n}\n@media (max-width: 767px) {\n  .navbar .navbar-nav .open .dropdown-menu > .active > a,\n  .navbar .navbar-nav .open .dropdown-menu > .active > a:hover,\n  .navbar .navbar-nav .open .dropdown-menu > .active > a:focus {\n    color: #fff;\n    background-image: -webkit-linear-gradient(top, #337ab7 0%, #2e6da4 100%);\n    background-image: -o-linear-gradient(top, #337ab7 0%, #2e6da4 100%);\n    background-image: -webkit-gradient(linear, left top, left bottom, from(#337ab7), to(#2e6da4));\n    background-image: linear-gradient(to bottom, #337ab7 0%, #2e6da4 100%);\n    filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff2e6da4', GradientType=0);\n    background-repeat: repeat-x;\n  }\n}\n.alert {\n  text-shadow: 0 1px 0 rgba(255, 255, 255, 0.2);\n  -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.25), 0 1px 2px rgba(0, 0, 0, 0.05);\n  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.25), 0 1px 2px rgba(0, 0, 0, 0.05);\n}\n.alert-success {\n  background-image: -webkit-linear-gradient(top, #dff0d8 0%, #c8e5bc 100%);\n  background-image: -o-linear-gradient(top, #dff0d8 0%, #c8e5bc 100%);\n  background-image: -webkit-gradient(linear, left top, left bottom, from(#dff0d8), to(#c8e5bc));\n  background-image: linear-gradient(to bottom, #dff0d8 0%, #c8e5bc 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffdff0d8', endColorstr='#ffc8e5bc', GradientType=0);\n  background-repeat: repeat-x;\n  border-color: #b2dba1;\n}\n.alert-info {\n  background-image: -webkit-linear-gradient(top, #d9edf7 0%, #b9def0 100%);\n  background-image: -o-linear-gradient(top, #d9edf7 0%, #b9def0 100%);\n  background-image: -webkit-gradient(linear, left top, left bottom, from(#d9edf7), to(#b9def0));\n  background-image: linear-gradient(to bottom, #d9edf7 0%, #b9def0 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffd9edf7', endColorstr='#ffb9def0', GradientType=0);\n  background-repeat: repeat-x;\n  border-color: #9acfea;\n}\n.alert-warning {\n  background-image: -webkit-linear-gradient(top, #fcf8e3 0%, #f8efc0 100%);\n  background-image: -o-linear-gradient(top, #fcf8e3 0%, #f8efc0 100%);\n  background-image: -webkit-gradient(linear, left top, left bottom, from(#fcf8e3), to(#f8efc0));\n  background-image: linear-gradient(to bottom, #fcf8e3 0%, #f8efc0 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fffcf8e3', endColorstr='#fff8efc0', GradientType=0);\n  background-repeat: repeat-x;\n  border-color: #f5e79e;\n}\n.alert-danger {\n  background-image: -webkit-linear-gradient(top, #f2dede 0%, #e7c3c3 100%);\n  background-image: -o-linear-gradient(top, #f2dede 0%, #e7c3c3 100%);\n  background-image: -webkit-gradient(linear, left top, left bottom, from(#f2dede), to(#e7c3c3));\n  background-image: linear-gradient(to bottom, #f2dede 0%, #e7c3c3 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff2dede', endColorstr='#ffe7c3c3', GradientType=0);\n  background-repeat: repeat-x;\n  border-color: #dca7a7;\n}\n.progress {\n  background-image: -webkit-linear-gradient(top, #ebebeb 0%, #f5f5f5 100%);\n  background-image: -o-linear-gradient(top, #ebebeb 0%, #f5f5f5 100%);\n  background-image: -webkit-gradient(linear, left top, left bottom, from(#ebebeb), to(#f5f5f5));\n  background-image: linear-gradient(to bottom, #ebebeb 0%, #f5f5f5 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffebebeb', endColorstr='#fff5f5f5', GradientType=0);\n  background-repeat: repeat-x;\n}\n.progress-bar {\n  background-image: -webkit-linear-gradient(top, #337ab7 0%, #286090 100%);\n  background-image: -o-linear-gradient(top, #337ab7 0%, #286090 100%);\n  background-image: -webkit-gradient(linear, left top, left bottom, from(#337ab7), to(#286090));\n  background-image: linear-gradient(to bottom, #337ab7 0%, #286090 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff286090', GradientType=0);\n  background-repeat: repeat-x;\n}\n.progress-bar-success {\n  background-image: -webkit-linear-gradient(top, #5cb85c 0%, #449d44 100%);\n  background-image: -o-linear-gradient(top, #5cb85c 0%, #449d44 100%);\n  background-image: -webkit-gradient(linear, left top, left bottom, from(#5cb85c), to(#449d44));\n  background-image: linear-gradient(to bottom, #5cb85c 0%, #449d44 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff5cb85c', endColorstr='#ff449d44', GradientType=0);\n  background-repeat: repeat-x;\n}\n.progress-bar-info {\n  background-image: -webkit-linear-gradient(top, #5bc0de 0%, #31b0d5 100%);\n  background-image: -o-linear-gradient(top, #5bc0de 0%, #31b0d5 100%);\n  background-image: -webkit-gradient(linear, left top, left bottom, from(#5bc0de), to(#31b0d5));\n  background-image: linear-gradient(to bottom, #5bc0de 0%, #31b0d5 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff5bc0de', endColorstr='#ff31b0d5', GradientType=0);\n  background-repeat: repeat-x;\n}\n.progress-bar-warning {\n  background-image: -webkit-linear-gradient(top, #f0ad4e 0%, #ec971f 100%);\n  background-image: -o-linear-gradient(top, #f0ad4e 0%, #ec971f 100%);\n  background-image: -webkit-gradient(linear, left top, left bottom, from(#f0ad4e), to(#ec971f));\n  background-image: linear-gradient(to bottom, #f0ad4e 0%, #ec971f 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff0ad4e', endColorstr='#ffec971f', GradientType=0);\n  background-repeat: repeat-x;\n}\n.progress-bar-danger {\n  background-image: -webkit-linear-gradient(top, #d9534f 0%, #c9302c 100%);\n  background-image: -o-linear-gradient(top, #d9534f 0%, #c9302c 100%);\n  background-image: -webkit-gradient(linear, left top, left bottom, from(#d9534f), to(#c9302c));\n  background-image: linear-gradient(to bottom, #d9534f 0%, #c9302c 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffd9534f', endColorstr='#ffc9302c', GradientType=0);\n  background-repeat: repeat-x;\n}\n.progress-bar-striped {\n  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n}\n.list-group {\n  border-radius: 4px;\n  -webkit-box-shadow: 0 1px 2px rgba(0, 0, 0, 0.075);\n  box-shadow: 0 1px 2px rgba(0, 0, 0, 0.075);\n}\n.list-group-item.active,\n.list-group-item.active:hover,\n.list-group-item.active:focus {\n  text-shadow: 0 -1px 0 #286090;\n  background-image: -webkit-linear-gradient(top, #337ab7 0%, #2b669a 100%);\n  background-image: -o-linear-gradient(top, #337ab7 0%, #2b669a 100%);\n  background-image: -webkit-gradient(linear, left top, left bottom, from(#337ab7), to(#2b669a));\n  background-image: linear-gradient(to bottom, #337ab7 0%, #2b669a 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff2b669a', GradientType=0);\n  background-repeat: repeat-x;\n  border-color: #2b669a;\n}\n.list-group-item.active .badge,\n.list-group-item.active:hover .badge,\n.list-group-item.active:focus .badge {\n  text-shadow: none;\n}\n.panel {\n  -webkit-box-shadow: 0 1px 2px rgba(0, 0, 0, 0.05);\n  box-shadow: 0 1px 2px rgba(0, 0, 0, 0.05);\n}\n.panel-default > .panel-heading {\n  background-image: -webkit-linear-gradient(top, #f5f5f5 0%, #e8e8e8 100%);\n  background-image: -o-linear-gradient(top, #f5f5f5 0%, #e8e8e8 100%);\n  background-image: -webkit-gradient(linear, left top, left bottom, from(#f5f5f5), to(#e8e8e8));\n  background-image: linear-gradient(to bottom, #f5f5f5 0%, #e8e8e8 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff5f5f5', endColorstr='#ffe8e8e8', GradientType=0);\n  background-repeat: repeat-x;\n}\n.panel-primary > .panel-heading {\n  background-image: -webkit-linear-gradient(top, #337ab7 0%, #2e6da4 100%);\n  background-image: -o-linear-gradient(top, #337ab7 0%, #2e6da4 100%);\n  background-image: -webkit-gradient(linear, left top, left bottom, from(#337ab7), to(#2e6da4));\n  background-image: linear-gradient(to bottom, #337ab7 0%, #2e6da4 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ff337ab7', endColorstr='#ff2e6da4', GradientType=0);\n  background-repeat: repeat-x;\n}\n.panel-success > .panel-heading {\n  background-image: -webkit-linear-gradient(top, #dff0d8 0%, #d0e9c6 100%);\n  background-image: -o-linear-gradient(top, #dff0d8 0%, #d0e9c6 100%);\n  background-image: -webkit-gradient(linear, left top, left bottom, from(#dff0d8), to(#d0e9c6));\n  background-image: linear-gradient(to bottom, #dff0d8 0%, #d0e9c6 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffdff0d8', endColorstr='#ffd0e9c6', GradientType=0);\n  background-repeat: repeat-x;\n}\n.panel-info > .panel-heading {\n  background-image: -webkit-linear-gradient(top, #d9edf7 0%, #c4e3f3 100%);\n  background-image: -o-linear-gradient(top, #d9edf7 0%, #c4e3f3 100%);\n  background-image: -webkit-gradient(linear, left top, left bottom, from(#d9edf7), to(#c4e3f3));\n  background-image: linear-gradient(to bottom, #d9edf7 0%, #c4e3f3 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffd9edf7', endColorstr='#ffc4e3f3', GradientType=0);\n  background-repeat: repeat-x;\n}\n.panel-warning > .panel-heading {\n  background-image: -webkit-linear-gradient(top, #fcf8e3 0%, #faf2cc 100%);\n  background-image: -o-linear-gradient(top, #fcf8e3 0%, #faf2cc 100%);\n  background-image: -webkit-gradient(linear, left top, left bottom, from(#fcf8e3), to(#faf2cc));\n  background-image: linear-gradient(to bottom, #fcf8e3 0%, #faf2cc 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fffcf8e3', endColorstr='#fffaf2cc', GradientType=0);\n  background-repeat: repeat-x;\n}\n.panel-danger > .panel-heading {\n  background-image: -webkit-linear-gradient(top, #f2dede 0%, #ebcccc 100%);\n  background-image: -o-linear-gradient(top, #f2dede 0%, #ebcccc 100%);\n  background-image: -webkit-gradient(linear, left top, left bottom, from(#f2dede), to(#ebcccc));\n  background-image: linear-gradient(to bottom, #f2dede 0%, #ebcccc 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#fff2dede', endColorstr='#ffebcccc', GradientType=0);\n  background-repeat: repeat-x;\n}\n.well {\n  background-image: -webkit-linear-gradient(top, #e8e8e8 0%, #f5f5f5 100%);\n  background-image: -o-linear-gradient(top, #e8e8e8 0%, #f5f5f5 100%);\n  background-image: -webkit-gradient(linear, left top, left bottom, from(#e8e8e8), to(#f5f5f5));\n  background-image: linear-gradient(to bottom, #e8e8e8 0%, #f5f5f5 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#ffe8e8e8', endColorstr='#fff5f5f5', GradientType=0);\n  background-repeat: repeat-x;\n  border-color: #dcdcdc;\n  -webkit-box-shadow: inset 0 1px 3px rgba(0, 0, 0, 0.05), 0 1px 0 rgba(255, 255, 255, 0.1);\n  box-shadow: inset 0 1px 3px rgba(0, 0, 0, 0.05), 0 1px 0 rgba(255, 255, 255, 0.1);\n}\n/*# sourceMappingURL=bootstrap-theme.css.map */","// stylelint-disable selector-no-qualifying-type, selector-max-compound-selectors\n\n/*!\n * Bootstrap v3.4.1 (https://getbootstrap.com/)\n * Copyright 2011-2019 Twitter, Inc.\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)\n */\n\n//\n// Load core variables and mixins\n// --------------------------------------------------\n\n@import \"variables.less\";\n@import \"mixins.less\";\n\n\n//\n// Buttons\n// --------------------------------------------------\n\n// Common styles\n.btn-default,\n.btn-primary,\n.btn-success,\n.btn-info,\n.btn-warning,\n.btn-danger {\n  text-shadow: 0 -1px 0 rgba(0, 0, 0, .2);\n  @shadow: inset 0 1px 0 rgba(255, 255, 255, .15), 0 1px 1px rgba(0, 0, 0, .075);\n  .box-shadow(@shadow);\n\n  // Reset the shadow\n  &:active,\n  &.active {\n    .box-shadow(inset 0 3px 5px rgba(0, 0, 0, .125));\n  }\n\n  &.disabled,\n  &[disabled],\n  fieldset[disabled] & {\n    .box-shadow(none);\n  }\n\n  .badge {\n    text-shadow: none;\n  }\n}\n\n// Mixin for generating new styles\n.btn-styles(@btn-color: #555) {\n  #gradient > .vertical(@start-color: @btn-color; @end-color: darken(@btn-color, 12%));\n  .reset-filter(); // Disable gradients for IE9 because filter bleeds through rounded corners; see https://github.com/twbs/bootstrap/issues/10620\n  background-repeat: repeat-x;\n  border-color: darken(@btn-color, 14%);\n\n  &:hover,\n  &:focus  {\n    background-color: darken(@btn-color, 12%);\n    background-position: 0 -15px;\n  }\n\n  &:active,\n  &.active {\n    background-color: darken(@btn-color, 12%);\n    border-color: darken(@btn-color, 14%);\n  }\n\n  &.disabled,\n  &[disabled],\n  fieldset[disabled] & {\n    &,\n    &:hover,\n    &:focus,\n    &.focus,\n    &:active,\n    &.active {\n      background-color: darken(@btn-color, 12%);\n      background-image: none;\n    }\n  }\n}\n\n// Common styles\n.btn {\n  // Remove the gradient for the pressed/active state\n  &:active,\n  &.active {\n    background-image: none;\n  }\n}\n\n// Apply the mixin to the buttons\n.btn-default {\n  .btn-styles(@btn-default-bg);\n  text-shadow: 0 1px 0 #fff;\n  border-color: #ccc;\n}\n.btn-primary { .btn-styles(@btn-primary-bg); }\n.btn-success { .btn-styles(@btn-success-bg); }\n.btn-info    { .btn-styles(@btn-info-bg); }\n.btn-warning { .btn-styles(@btn-warning-bg); }\n.btn-danger  { .btn-styles(@btn-danger-bg); }\n\n\n//\n// Images\n// --------------------------------------------------\n\n.thumbnail,\n.img-thumbnail {\n  .box-shadow(0 1px 2px rgba(0, 0, 0, .075));\n}\n\n\n//\n// Dropdowns\n// --------------------------------------------------\n\n.dropdown-menu > li > a:hover,\n.dropdown-menu > li > a:focus {\n  #gradient > .vertical(@start-color: @dropdown-link-hover-bg; @end-color: darken(@dropdown-link-hover-bg, 5%));\n  background-color: darken(@dropdown-link-hover-bg, 5%);\n}\n.dropdown-menu > .active > a,\n.dropdown-menu > .active > a:hover,\n.dropdown-menu > .active > a:focus {\n  #gradient > .vertical(@start-color: @dropdown-link-active-bg; @end-color: darken(@dropdown-link-active-bg, 5%));\n  background-color: darken(@dropdown-link-active-bg, 5%);\n}\n\n\n//\n// Navbar\n// --------------------------------------------------\n\n// Default navbar\n.navbar-default {\n  #gradient > .vertical(@start-color: lighten(@navbar-default-bg, 10%); @end-color: @navbar-default-bg);\n  .reset-filter(); // Remove gradient in IE<10 to fix bug where dropdowns don't get triggered\n  border-radius: @navbar-border-radius;\n  @shadow: inset 0 1px 0 rgba(255, 255, 255, .15), 0 1px 5px rgba(0, 0, 0, .075);\n  .box-shadow(@shadow);\n\n  .navbar-nav > .open > a,\n  .navbar-nav > .active > a {\n    #gradient > .vertical(@start-color: darken(@navbar-default-link-active-bg, 5%); @end-color: darken(@navbar-default-link-active-bg, 2%));\n    .box-shadow(inset 0 3px 9px rgba(0, 0, 0, .075));\n  }\n}\n.navbar-brand,\n.navbar-nav > li > a {\n  text-shadow: 0 1px 0 rgba(255, 255, 255, .25);\n}\n\n// Inverted navbar\n.navbar-inverse {\n  #gradient > .vertical(@start-color: lighten(@navbar-inverse-bg, 10%); @end-color: @navbar-inverse-bg);\n  .reset-filter(); // Remove gradient in IE<10 to fix bug where dropdowns don't get triggered; see https://github.com/twbs/bootstrap/issues/10257\n  border-radius: @navbar-border-radius;\n  .navbar-nav > .open > a,\n  .navbar-nav > .active > a {\n    #gradient > .vertical(@start-color: @navbar-inverse-link-active-bg; @end-color: lighten(@navbar-inverse-link-active-bg, 2.5%));\n    .box-shadow(inset 0 3px 9px rgba(0, 0, 0, .25));\n  }\n\n  .navbar-brand,\n  .navbar-nav > li > a {\n    text-shadow: 0 -1px 0 rgba(0, 0, 0, .25);\n  }\n}\n\n// Undo rounded corners in static and fixed navbars\n.navbar-static-top,\n.navbar-fixed-top,\n.navbar-fixed-bottom {\n  border-radius: 0;\n}\n\n// Fix active state of dropdown items in collapsed mode\n@media (max-width: @grid-float-breakpoint-max) {\n  .navbar .navbar-nav .open .dropdown-menu > .active > a {\n    &,\n    &:hover,\n    &:focus {\n      color: #fff;\n      #gradient > .vertical(@start-color: @dropdown-link-active-bg; @end-color: darken(@dropdown-link-active-bg, 5%));\n    }\n  }\n}\n\n\n//\n// Alerts\n// --------------------------------------------------\n\n// Common styles\n.alert {\n  text-shadow: 0 1px 0 rgba(255, 255, 255, .2);\n  @shadow: inset 0 1px 0 rgba(255, 255, 255, .25), 0 1px 2px rgba(0, 0, 0, .05);\n  .box-shadow(@shadow);\n}\n\n// Mixin for generating new styles\n.alert-styles(@color) {\n  #gradient > .vertical(@start-color: @color; @end-color: darken(@color, 7.5%));\n  border-color: darken(@color, 15%);\n}\n\n// Apply the mixin to the alerts\n.alert-success    { .alert-styles(@alert-success-bg); }\n.alert-info       { .alert-styles(@alert-info-bg); }\n.alert-warning    { .alert-styles(@alert-warning-bg); }\n.alert-danger     { .alert-styles(@alert-danger-bg); }\n\n\n//\n// Progress bars\n// --------------------------------------------------\n\n// Give the progress background some depth\n.progress {\n  #gradient > .vertical(@start-color: darken(@progress-bg, 4%); @end-color: @progress-bg)\n}\n\n// Mixin for generating new styles\n.progress-bar-styles(@color) {\n  #gradient > .vertical(@start-color: @color; @end-color: darken(@color, 10%));\n}\n\n// Apply the mixin to the progress bars\n.progress-bar            { .progress-bar-styles(@progress-bar-bg); }\n.progress-bar-success    { .progress-bar-styles(@progress-bar-success-bg); }\n.progress-bar-info       { .progress-bar-styles(@progress-bar-info-bg); }\n.progress-bar-warning    { .progress-bar-styles(@progress-bar-warning-bg); }\n.progress-bar-danger     { .progress-bar-styles(@progress-bar-danger-bg); }\n\n// Reset the striped class because our mixins don't do multiple gradients and\n// the above custom styles override the new `.progress-bar-striped` in v3.2.0.\n.progress-bar-striped {\n  #gradient > .striped();\n}\n\n\n//\n// List groups\n// --------------------------------------------------\n\n.list-group {\n  border-radius: @border-radius-base;\n  .box-shadow(0 1px 2px rgba(0, 0, 0, .075));\n}\n.list-group-item.active,\n.list-group-item.active:hover,\n.list-group-item.active:focus {\n  text-shadow: 0 -1px 0 darken(@list-group-active-bg, 10%);\n  #gradient > .vertical(@start-color: @list-group-active-bg; @end-color: darken(@list-group-active-bg, 7.5%));\n  border-color: darken(@list-group-active-border, 7.5%);\n\n  .badge {\n    text-shadow: none;\n  }\n}\n\n\n//\n// Panels\n// --------------------------------------------------\n\n// Common styles\n.panel {\n  .box-shadow(0 1px 2px rgba(0, 0, 0, .05));\n}\n\n// Mixin for generating new styles\n.panel-heading-styles(@color) {\n  #gradient > .vertical(@start-color: @color; @end-color: darken(@color, 5%));\n}\n\n// Apply the mixin to the panel headings only\n.panel-default > .panel-heading   { .panel-heading-styles(@panel-default-heading-bg); }\n.panel-primary > .panel-heading   { .panel-heading-styles(@panel-primary-heading-bg); }\n.panel-success > .panel-heading   { .panel-heading-styles(@panel-success-heading-bg); }\n.panel-info > .panel-heading      { .panel-heading-styles(@panel-info-heading-bg); }\n.panel-warning > .panel-heading   { .panel-heading-styles(@panel-warning-heading-bg); }\n.panel-danger > .panel-heading    { .panel-heading-styles(@panel-danger-heading-bg); }\n\n\n//\n// Wells\n// --------------------------------------------------\n\n.well {\n  #gradient > .vertical(@start-color: darken(@well-bg, 5%); @end-color: @well-bg);\n  border-color: darken(@well-bg, 10%);\n  @shadow: inset 0 1px 3px rgba(0, 0, 0, .05), 0 1px 0 rgba(255, 255, 255, .1);\n  .box-shadow(@shadow);\n}\n","// stylelint-disable indentation, property-no-vendor-prefix, selector-no-vendor-prefix\n\n// Vendor Prefixes\n//\n// All vendor mixins are deprecated as of v3.2.0 due to the introduction of\n// Autoprefixer in our Gruntfile. They have been removed in v4.\n\n// - Animations\n// - Backface visibility\n// - Box shadow\n// - Box sizing\n// - Content columns\n// - Hyphens\n// - Placeholder text\n// - Transformations\n// - Transitions\n// - User Select\n\n\n// Animations\n.animation(@animation) {\n  -webkit-animation: @animation;\n       -o-animation: @animation;\n          animation: @animation;\n}\n.animation-name(@name) {\n  -webkit-animation-name: @name;\n          animation-name: @name;\n}\n.animation-duration(@duration) {\n  -webkit-animation-duration: @duration;\n          animation-duration: @duration;\n}\n.animation-timing-function(@timing-function) {\n  -webkit-animation-timing-function: @timing-function;\n          animation-timing-function: @timing-function;\n}\n.animation-delay(@delay) {\n  -webkit-animation-delay: @delay;\n          animation-delay: @delay;\n}\n.animation-iteration-count(@iteration-count) {\n  -webkit-animation-iteration-count: @iteration-count;\n          animation-iteration-count: @iteration-count;\n}\n.animation-direction(@direction) {\n  -webkit-animation-direction: @direction;\n          animation-direction: @direction;\n}\n.animation-fill-mode(@fill-mode) {\n  -webkit-animation-fill-mode: @fill-mode;\n          animation-fill-mode: @fill-mode;\n}\n\n// Backface visibility\n// Prevent browsers from flickering when using CSS 3D transforms.\n// Default value is `visible`, but can be changed to `hidden`\n\n.backface-visibility(@visibility) {\n  -webkit-backface-visibility: @visibility;\n     -moz-backface-visibility: @visibility;\n          backface-visibility: @visibility;\n}\n\n// Drop shadows\n//\n// Note: Deprecated `.box-shadow()` as of v3.1.0 since all of Bootstrap's\n// supported browsers that have box shadow capabilities now support it.\n\n.box-shadow(@shadow) {\n  -webkit-box-shadow: @shadow; // iOS <4.3 & Android <4.1\n          box-shadow: @shadow;\n}\n\n// Box sizing\n.box-sizing(@boxmodel) {\n  -webkit-box-sizing: @boxmodel;\n     -moz-box-sizing: @boxmodel;\n          box-sizing: @boxmodel;\n}\n\n// CSS3 Content Columns\n.content-columns(@column-count; @column-gap: @grid-gutter-width) {\n  -webkit-column-count: @column-count;\n     -moz-column-count: @column-count;\n          column-count: @column-count;\n  -webkit-column-gap: @column-gap;\n     -moz-column-gap: @column-gap;\n          column-gap: @column-gap;\n}\n\n// Optional hyphenation\n.hyphens(@mode: auto) {\n  -webkit-hyphens: @mode;\n     -moz-hyphens: @mode;\n      -ms-hyphens: @mode; // IE10+\n       -o-hyphens: @mode;\n          hyphens: @mode;\n  word-wrap: break-word;\n}\n\n// Placeholder text\n.placeholder(@color: @input-color-placeholder) {\n  // Firefox\n  &::-moz-placeholder {\n    color: @color;\n    opacity: 1; // Override Firefox's unusual default opacity; see https://github.com/twbs/bootstrap/pull/11526\n  }\n  &:-ms-input-placeholder { color: @color; } // Internet Explorer 10+\n  &::-webkit-input-placeholder  { color: @color; } // Safari and Chrome\n}\n\n// Transformations\n.scale(@ratio) {\n  -webkit-transform: scale(@ratio);\n      -ms-transform: scale(@ratio); // IE9 only\n       -o-transform: scale(@ratio);\n          transform: scale(@ratio);\n}\n.scale(@ratioX; @ratioY) {\n  -webkit-transform: scale(@ratioX, @ratioY);\n      -ms-transform: scale(@ratioX, @ratioY); // IE9 only\n       -o-transform: scale(@ratioX, @ratioY);\n          transform: scale(@ratioX, @ratioY);\n}\n.scaleX(@ratio) {\n  -webkit-transform: scaleX(@ratio);\n      -ms-transform: scaleX(@ratio); // IE9 only\n       -o-transform: scaleX(@ratio);\n          transform: scaleX(@ratio);\n}\n.scaleY(@ratio) {\n  -webkit-transform: scaleY(@ratio);\n      -ms-transform: scaleY(@ratio); // IE9 only\n       -o-transform: scaleY(@ratio);\n          transform: scaleY(@ratio);\n}\n.skew(@x; @y) {\n  -webkit-transform: skewX(@x) skewY(@y);\n      -ms-transform: skewX(@x) skewY(@y); // See https://github.com/twbs/bootstrap/issues/4885; IE9+\n       -o-transform: skewX(@x) skewY(@y);\n          transform: skewX(@x) skewY(@y);\n}\n.translate(@x; @y) {\n  -webkit-transform: translate(@x, @y);\n      -ms-transform: translate(@x, @y); // IE9 only\n       -o-transform: translate(@x, @y);\n          transform: translate(@x, @y);\n}\n.translate3d(@x; @y; @z) {\n  -webkit-transform: translate3d(@x, @y, @z);\n          transform: translate3d(@x, @y, @z);\n}\n.rotate(@degrees) {\n  -webkit-transform: rotate(@degrees);\n      -ms-transform: rotate(@degrees); // IE9 only\n       -o-transform: rotate(@degrees);\n          transform: rotate(@degrees);\n}\n.rotateX(@degrees) {\n  -webkit-transform: rotateX(@degrees);\n      -ms-transform: rotateX(@degrees); // IE9 only\n       -o-transform: rotateX(@degrees);\n          transform: rotateX(@degrees);\n}\n.rotateY(@degrees) {\n  -webkit-transform: rotateY(@degrees);\n      -ms-transform: rotateY(@degrees); // IE9 only\n       -o-transform: rotateY(@degrees);\n          transform: rotateY(@degrees);\n}\n.perspective(@perspective) {\n  -webkit-perspective: @perspective;\n     -moz-perspective: @perspective;\n          perspective: @perspective;\n}\n.perspective-origin(@perspective) {\n  -webkit-perspective-origin: @perspective;\n     -moz-perspective-origin: @perspective;\n          perspective-origin: @perspective;\n}\n.transform-origin(@origin) {\n  -webkit-transform-origin: @origin;\n     -moz-transform-origin: @origin;\n      -ms-transform-origin: @origin; // IE9 only\n          transform-origin: @origin;\n}\n\n\n// Transitions\n\n.transition(@transition) {\n  -webkit-transition: @transition;\n       -o-transition: @transition;\n          transition: @transition;\n}\n.transition-property(@transition-property) {\n  -webkit-transition-property: @transition-property;\n          transition-property: @transition-property;\n}\n.transition-delay(@transition-delay) {\n  -webkit-transition-delay: @transition-delay;\n          transition-delay: @transition-delay;\n}\n.transition-duration(@transition-duration) {\n  -webkit-transition-duration: @transition-duration;\n          transition-duration: @transition-duration;\n}\n.transition-timing-function(@timing-function) {\n  -webkit-transition-timing-function: @timing-function;\n          transition-timing-function: @timing-function;\n}\n.transition-transform(@transition) {\n  -webkit-transition: -webkit-transform @transition;\n     -moz-transition: -moz-transform @transition;\n       -o-transition: -o-transform @transition;\n          transition: transform @transition;\n}\n\n\n// User select\n// For selecting text on the page\n\n.user-select(@select) {\n  -webkit-user-select: @select;\n     -moz-user-select: @select;\n      -ms-user-select: @select; // IE10+\n          user-select: @select;\n}\n","// stylelint-disable value-no-vendor-prefix, selector-max-id\n\n#gradient {\n\n  // Horizontal gradient, from left to right\n  //\n  // Creates two color stops, start and end, by specifying a color and position for each color stop.\n  // Color stops are not available in IE9 and below.\n  .horizontal(@start-color: #555; @end-color: #333; @start-percent: 0%; @end-percent: 100%) {\n    background-image: -webkit-linear-gradient(left, @start-color @start-percent, @end-color @end-percent); // Safari 5.1-6, Chrome 10+\n    background-image: -o-linear-gradient(left, @start-color @start-percent, @end-color @end-percent); // Opera 12\n    background-image: linear-gradient(to right, @start-color @start-percent, @end-color @end-percent); // Standard, IE10, Firefox 16+, Opera 12.10+, Safari 7+, Chrome 26+\n    filter: e(%(\"progid:DXImageTransform.Microsoft.gradient(startColorstr='%d', endColorstr='%d', GradientType=1)\", argb(@start-color), argb(@end-color))); // IE9 and down\n    background-repeat: repeat-x;\n  }\n\n  // Vertical gradient, from top to bottom\n  //\n  // Creates two color stops, start and end, by specifying a color and position for each color stop.\n  // Color stops are not available in IE9 and below.\n  .vertical(@start-color: #555; @end-color: #333; @start-percent: 0%; @end-percent: 100%) {\n    background-image: -webkit-linear-gradient(top, @start-color @start-percent, @end-color @end-percent);  // Safari 5.1-6, Chrome 10+\n    background-image: -o-linear-gradient(top, @start-color @start-percent, @end-color @end-percent);  // Opera 12\n    background-image: linear-gradient(to bottom, @start-color @start-percent, @end-color @end-percent); // Standard, IE10, Firefox 16+, Opera 12.10+, Safari 7+, Chrome 26+\n    filter: e(%(\"progid:DXImageTransform.Microsoft.gradient(startColorstr='%d', endColorstr='%d', GradientType=0)\", argb(@start-color), argb(@end-color))); // IE9 and down\n    background-repeat: repeat-x;\n  }\n\n  .directional(@start-color: #555; @end-color: #333; @deg: 45deg) {\n    background-image: -webkit-linear-gradient(@deg, @start-color, @end-color); // Safari 5.1-6, Chrome 10+\n    background-image: -o-linear-gradient(@deg, @start-color, @end-color); // Opera 12\n    background-image: linear-gradient(@deg, @start-color, @end-color); // Standard, IE10, Firefox 16+, Opera 12.10+, Safari 7+, Chrome 26+\n    background-repeat: repeat-x;\n  }\n  .horizontal-three-colors(@start-color: #00b3ee; @mid-color: #7a43b6; @color-stop: 50%; @end-color: #c3325f) {\n    background-image: -webkit-linear-gradient(left, @start-color, @mid-color @color-stop, @end-color);\n    background-image: -o-linear-gradient(left, @start-color, @mid-color @color-stop, @end-color);\n    background-image: linear-gradient(to right, @start-color, @mid-color @color-stop, @end-color);\n    filter: e(%(\"progid:DXImageTransform.Microsoft.gradient(startColorstr='%d', endColorstr='%d', GradientType=1)\", argb(@start-color), argb(@end-color))); // IE9 and down, gets no color-stop at all for proper fallback\n    background-repeat: no-repeat;\n  }\n  .vertical-three-colors(@start-color: #00b3ee; @mid-color: #7a43b6; @color-stop: 50%; @end-color: #c3325f) {\n    background-image: -webkit-linear-gradient(@start-color, @mid-color @color-stop, @end-color);\n    background-image: -o-linear-gradient(@start-color, @mid-color @color-stop, @end-color);\n    background-image: linear-gradient(@start-color, @mid-color @color-stop, @end-color);\n    filter: e(%(\"progid:DXImageTransform.Microsoft.gradient(startColorstr='%d', endColorstr='%d', GradientType=0)\", argb(@start-color), argb(@end-color))); // IE9 and down, gets no color-stop at all for proper fallback\n    background-repeat: no-repeat;\n  }\n  .radial(@inner-color: #555; @outer-color: #333) {\n    background-image: -webkit-radial-gradient(circle, @inner-color, @outer-color);\n    background-image: radial-gradient(circle, @inner-color, @outer-color);\n    background-repeat: no-repeat;\n  }\n  .striped(@color: rgba(255, 255, 255, .15); @angle: 45deg) {\n    background-image: -webkit-linear-gradient(@angle, @color 25%, transparent 25%, transparent 50%, @color 50%, @color 75%, transparent 75%, transparent);\n    background-image: -o-linear-gradient(@angle, @color 25%, transparent 25%, transparent 50%, @color 50%, @color 75%, transparent 75%, transparent);\n    background-image: linear-gradient(@angle, @color 25%, transparent 25%, transparent 50%, @color 50%, @color 75%, transparent 75%, transparent);\n  }\n}\n","// Reset filters for IE\n//\n// When you need to remove a gradient background, do not forget to use this to reset\n// the IE filter for IE9 and below.\n\n.reset-filter() {\n  filter: e(%(\"progid:DXImageTransform.Microsoft.gradient(enabled = false)\"));\n}\n"]}
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_static/bootstrap-3.4.1/css/bootstrap.css b/trackpy/v0.6.2/_static/bootstrap-3.4.1/css/bootstrap.css
new file mode 100644
index 00000000..fcab4155
--- /dev/null
+++ b/trackpy/v0.6.2/_static/bootstrap-3.4.1/css/bootstrap.css
@@ -0,0 +1,6834 @@
+/*!
+ * Bootstrap v3.4.1 (https://getbootstrap.com/)
+ * Copyright 2011-2019 Twitter, Inc.
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
+ */
+/*! normalize.css v3.0.3 | MIT License | github.com/necolas/normalize.css */
+html {
+  font-family: sans-serif;
+  -ms-text-size-adjust: 100%;
+  -webkit-text-size-adjust: 100%;
+}
+body {
+  margin: 0;
+}
+article,
+aside,
+details,
+figcaption,
+figure,
+footer,
+header,
+hgroup,
+main,
+menu,
+nav,
+section,
+summary {
+  display: block;
+}
+audio,
+canvas,
+progress,
+video {
+  display: inline-block;
+  vertical-align: baseline;
+}
+audio:not([controls]) {
+  display: none;
+  height: 0;
+}
+[hidden],
+template {
+  display: none;
+}
+a {
+  background-color: transparent;
+}
+a:active,
+a:hover {
+  outline: 0;
+}
+abbr[title] {
+  border-bottom: none;
+  text-decoration: underline;
+  -webkit-text-decoration: underline dotted;
+  -moz-text-decoration: underline dotted;
+  text-decoration: underline dotted;
+}
+b,
+strong {
+  font-weight: bold;
+}
+dfn {
+  font-style: italic;
+}
+h1 {
+  font-size: 2em;
+  margin: 0.67em 0;
+}
+mark {
+  background: #ff0;
+  color: #000;
+}
+small {
+  font-size: 80%;
+}
+sub,
+sup {
+  font-size: 75%;
+  line-height: 0;
+  position: relative;
+  vertical-align: baseline;
+}
+sup {
+  top: -0.5em;
+}
+sub {
+  bottom: -0.25em;
+}
+img {
+  border: 0;
+}
+svg:not(:root) {
+  overflow: hidden;
+}
+figure {
+  margin: 1em 40px;
+}
+hr {
+  -webkit-box-sizing: content-box;
+  -moz-box-sizing: content-box;
+  box-sizing: content-box;
+  height: 0;
+}
+pre {
+  overflow: auto;
+}
+code,
+kbd,
+pre,
+samp {
+  font-family: monospace, monospace;
+  font-size: 1em;
+}
+button,
+input,
+optgroup,
+select,
+textarea {
+  color: inherit;
+  font: inherit;
+  margin: 0;
+}
+button {
+  overflow: visible;
+}
+button,
+select {
+  text-transform: none;
+}
+button,
+html input[type="button"],
+input[type="reset"],
+input[type="submit"] {
+  -webkit-appearance: button;
+  cursor: pointer;
+}
+button[disabled],
+html input[disabled] {
+  cursor: default;
+}
+button::-moz-focus-inner,
+input::-moz-focus-inner {
+  border: 0;
+  padding: 0;
+}
+input {
+  line-height: normal;
+}
+input[type="checkbox"],
+input[type="radio"] {
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+  padding: 0;
+}
+input[type="number"]::-webkit-inner-spin-button,
+input[type="number"]::-webkit-outer-spin-button {
+  height: auto;
+}
+input[type="search"] {
+  -webkit-appearance: textfield;
+  -webkit-box-sizing: content-box;
+  -moz-box-sizing: content-box;
+  box-sizing: content-box;
+}
+input[type="search"]::-webkit-search-cancel-button,
+input[type="search"]::-webkit-search-decoration {
+  -webkit-appearance: none;
+}
+fieldset {
+  border: 1px solid #c0c0c0;
+  margin: 0 2px;
+  padding: 0.35em 0.625em 0.75em;
+}
+legend {
+  border: 0;
+  padding: 0;
+}
+textarea {
+  overflow: auto;
+}
+optgroup {
+  font-weight: bold;
+}
+table {
+  border-collapse: collapse;
+  border-spacing: 0;
+}
+td,
+th {
+  padding: 0;
+}
+/*! Source: https://github.com/h5bp/html5-boilerplate/blob/master/src/css/main.css */
+@media print {
+  *,
+  *:before,
+  *:after {
+    color: #000 !important;
+    text-shadow: none !important;
+    background: transparent !important;
+    -webkit-box-shadow: none !important;
+    box-shadow: none !important;
+  }
+  a,
+  a:visited {
+    text-decoration: underline;
+  }
+  a[href]:after {
+    content: " (" attr(href) ")";
+  }
+  abbr[title]:after {
+    content: " (" attr(title) ")";
+  }
+  a[href^="#"]:after,
+  a[href^="javascript:"]:after {
+    content: "";
+  }
+  pre,
+  blockquote {
+    border: 1px solid #999;
+    page-break-inside: avoid;
+  }
+  thead {
+    display: table-header-group;
+  }
+  tr,
+  img {
+    page-break-inside: avoid;
+  }
+  img {
+    max-width: 100% !important;
+  }
+  p,
+  h2,
+  h3 {
+    orphans: 3;
+    widows: 3;
+  }
+  h2,
+  h3 {
+    page-break-after: avoid;
+  }
+  .navbar {
+    display: none;
+  }
+  .btn > .caret,
+  .dropup > .btn > .caret {
+    border-top-color: #000 !important;
+  }
+  .label {
+    border: 1px solid #000;
+  }
+  .table {
+    border-collapse: collapse !important;
+  }
+  .table td,
+  .table th {
+    background-color: #fff !important;
+  }
+  .table-bordered th,
+  .table-bordered td {
+    border: 1px solid #ddd !important;
+  }
+}
+@font-face {
+  font-family: "Glyphicons Halflings";
+  src: url("../fonts/glyphicons-halflings-regular.eot");
+  src: url("../fonts/glyphicons-halflings-regular.eot?#iefix") format("embedded-opentype"), url("../fonts/glyphicons-halflings-regular.woff2") format("woff2"), url("../fonts/glyphicons-halflings-regular.woff") format("woff"), url("../fonts/glyphicons-halflings-regular.ttf") format("truetype"), url("../fonts/glyphicons-halflings-regular.svg#glyphicons_halflingsregular") format("svg");
+}
+.glyphicon {
+  position: relative;
+  top: 1px;
+  display: inline-block;
+  font-family: "Glyphicons Halflings";
+  font-style: normal;
+  font-weight: 400;
+  line-height: 1;
+  -webkit-font-smoothing: antialiased;
+  -moz-osx-font-smoothing: grayscale;
+}
+.glyphicon-asterisk:before {
+  content: "\002a";
+}
+.glyphicon-plus:before {
+  content: "\002b";
+}
+.glyphicon-euro:before,
+.glyphicon-eur:before {
+  content: "\20ac";
+}
+.glyphicon-minus:before {
+  content: "\2212";
+}
+.glyphicon-cloud:before {
+  content: "\2601";
+}
+.glyphicon-envelope:before {
+  content: "\2709";
+}
+.glyphicon-pencil:before {
+  content: "\270f";
+}
+.glyphicon-glass:before {
+  content: "\e001";
+}
+.glyphicon-music:before {
+  content: "\e002";
+}
+.glyphicon-search:before {
+  content: "\e003";
+}
+.glyphicon-heart:before {
+  content: "\e005";
+}
+.glyphicon-star:before {
+  content: "\e006";
+}
+.glyphicon-star-empty:before {
+  content: "\e007";
+}
+.glyphicon-user:before {
+  content: "\e008";
+}
+.glyphicon-film:before {
+  content: "\e009";
+}
+.glyphicon-th-large:before {
+  content: "\e010";
+}
+.glyphicon-th:before {
+  content: "\e011";
+}
+.glyphicon-th-list:before {
+  content: "\e012";
+}
+.glyphicon-ok:before {
+  content: "\e013";
+}
+.glyphicon-remove:before {
+  content: "\e014";
+}
+.glyphicon-zoom-in:before {
+  content: "\e015";
+}
+.glyphicon-zoom-out:before {
+  content: "\e016";
+}
+.glyphicon-off:before {
+  content: "\e017";
+}
+.glyphicon-signal:before {
+  content: "\e018";
+}
+.glyphicon-cog:before {
+  content: "\e019";
+}
+.glyphicon-trash:before {
+  content: "\e020";
+}
+.glyphicon-home:before {
+  content: "\e021";
+}
+.glyphicon-file:before {
+  content: "\e022";
+}
+.glyphicon-time:before {
+  content: "\e023";
+}
+.glyphicon-road:before {
+  content: "\e024";
+}
+.glyphicon-download-alt:before {
+  content: "\e025";
+}
+.glyphicon-download:before {
+  content: "\e026";
+}
+.glyphicon-upload:before {
+  content: "\e027";
+}
+.glyphicon-inbox:before {
+  content: "\e028";
+}
+.glyphicon-play-circle:before {
+  content: "\e029";
+}
+.glyphicon-repeat:before {
+  content: "\e030";
+}
+.glyphicon-refresh:before {
+  content: "\e031";
+}
+.glyphicon-list-alt:before {
+  content: "\e032";
+}
+.glyphicon-lock:before {
+  content: "\e033";
+}
+.glyphicon-flag:before {
+  content: "\e034";
+}
+.glyphicon-headphones:before {
+  content: "\e035";
+}
+.glyphicon-volume-off:before {
+  content: "\e036";
+}
+.glyphicon-volume-down:before {
+  content: "\e037";
+}
+.glyphicon-volume-up:before {
+  content: "\e038";
+}
+.glyphicon-qrcode:before {
+  content: "\e039";
+}
+.glyphicon-barcode:before {
+  content: "\e040";
+}
+.glyphicon-tag:before {
+  content: "\e041";
+}
+.glyphicon-tags:before {
+  content: "\e042";
+}
+.glyphicon-book:before {
+  content: "\e043";
+}
+.glyphicon-bookmark:before {
+  content: "\e044";
+}
+.glyphicon-print:before {
+  content: "\e045";
+}
+.glyphicon-camera:before {
+  content: "\e046";
+}
+.glyphicon-font:before {
+  content: "\e047";
+}
+.glyphicon-bold:before {
+  content: "\e048";
+}
+.glyphicon-italic:before {
+  content: "\e049";
+}
+.glyphicon-text-height:before {
+  content: "\e050";
+}
+.glyphicon-text-width:before {
+  content: "\e051";
+}
+.glyphicon-align-left:before {
+  content: "\e052";
+}
+.glyphicon-align-center:before {
+  content: "\e053";
+}
+.glyphicon-align-right:before {
+  content: "\e054";
+}
+.glyphicon-align-justify:before {
+  content: "\e055";
+}
+.glyphicon-list:before {
+  content: "\e056";
+}
+.glyphicon-indent-left:before {
+  content: "\e057";
+}
+.glyphicon-indent-right:before {
+  content: "\e058";
+}
+.glyphicon-facetime-video:before {
+  content: "\e059";
+}
+.glyphicon-picture:before {
+  content: "\e060";
+}
+.glyphicon-map-marker:before {
+  content: "\e062";
+}
+.glyphicon-adjust:before {
+  content: "\e063";
+}
+.glyphicon-tint:before {
+  content: "\e064";
+}
+.glyphicon-edit:before {
+  content: "\e065";
+}
+.glyphicon-share:before {
+  content: "\e066";
+}
+.glyphicon-check:before {
+  content: "\e067";
+}
+.glyphicon-move:before {
+  content: "\e068";
+}
+.glyphicon-step-backward:before {
+  content: "\e069";
+}
+.glyphicon-fast-backward:before {
+  content: "\e070";
+}
+.glyphicon-backward:before {
+  content: "\e071";
+}
+.glyphicon-play:before {
+  content: "\e072";
+}
+.glyphicon-pause:before {
+  content: "\e073";
+}
+.glyphicon-stop:before {
+  content: "\e074";
+}
+.glyphicon-forward:before {
+  content: "\e075";
+}
+.glyphicon-fast-forward:before {
+  content: "\e076";
+}
+.glyphicon-step-forward:before {
+  content: "\e077";
+}
+.glyphicon-eject:before {
+  content: "\e078";
+}
+.glyphicon-chevron-left:before {
+  content: "\e079";
+}
+.glyphicon-chevron-right:before {
+  content: "\e080";
+}
+.glyphicon-plus-sign:before {
+  content: "\e081";
+}
+.glyphicon-minus-sign:before {
+  content: "\e082";
+}
+.glyphicon-remove-sign:before {
+  content: "\e083";
+}
+.glyphicon-ok-sign:before {
+  content: "\e084";
+}
+.glyphicon-question-sign:before {
+  content: "\e085";
+}
+.glyphicon-info-sign:before {
+  content: "\e086";
+}
+.glyphicon-screenshot:before {
+  content: "\e087";
+}
+.glyphicon-remove-circle:before {
+  content: "\e088";
+}
+.glyphicon-ok-circle:before {
+  content: "\e089";
+}
+.glyphicon-ban-circle:before {
+  content: "\e090";
+}
+.glyphicon-arrow-left:before {
+  content: "\e091";
+}
+.glyphicon-arrow-right:before {
+  content: "\e092";
+}
+.glyphicon-arrow-up:before {
+  content: "\e093";
+}
+.glyphicon-arrow-down:before {
+  content: "\e094";
+}
+.glyphicon-share-alt:before {
+  content: "\e095";
+}
+.glyphicon-resize-full:before {
+  content: "\e096";
+}
+.glyphicon-resize-small:before {
+  content: "\e097";
+}
+.glyphicon-exclamation-sign:before {
+  content: "\e101";
+}
+.glyphicon-gift:before {
+  content: "\e102";
+}
+.glyphicon-leaf:before {
+  content: "\e103";
+}
+.glyphicon-fire:before {
+  content: "\e104";
+}
+.glyphicon-eye-open:before {
+  content: "\e105";
+}
+.glyphicon-eye-close:before {
+  content: "\e106";
+}
+.glyphicon-warning-sign:before {
+  content: "\e107";
+}
+.glyphicon-plane:before {
+  content: "\e108";
+}
+.glyphicon-calendar:before {
+  content: "\e109";
+}
+.glyphicon-random:before {
+  content: "\e110";
+}
+.glyphicon-comment:before {
+  content: "\e111";
+}
+.glyphicon-magnet:before {
+  content: "\e112";
+}
+.glyphicon-chevron-up:before {
+  content: "\e113";
+}
+.glyphicon-chevron-down:before {
+  content: "\e114";
+}
+.glyphicon-retweet:before {
+  content: "\e115";
+}
+.glyphicon-shopping-cart:before {
+  content: "\e116";
+}
+.glyphicon-folder-close:before {
+  content: "\e117";
+}
+.glyphicon-folder-open:before {
+  content: "\e118";
+}
+.glyphicon-resize-vertical:before {
+  content: "\e119";
+}
+.glyphicon-resize-horizontal:before {
+  content: "\e120";
+}
+.glyphicon-hdd:before {
+  content: "\e121";
+}
+.glyphicon-bullhorn:before {
+  content: "\e122";
+}
+.glyphicon-bell:before {
+  content: "\e123";
+}
+.glyphicon-certificate:before {
+  content: "\e124";
+}
+.glyphicon-thumbs-up:before {
+  content: "\e125";
+}
+.glyphicon-thumbs-down:before {
+  content: "\e126";
+}
+.glyphicon-hand-right:before {
+  content: "\e127";
+}
+.glyphicon-hand-left:before {
+  content: "\e128";
+}
+.glyphicon-hand-up:before {
+  content: "\e129";
+}
+.glyphicon-hand-down:before {
+  content: "\e130";
+}
+.glyphicon-circle-arrow-right:before {
+  content: "\e131";
+}
+.glyphicon-circle-arrow-left:before {
+  content: "\e132";
+}
+.glyphicon-circle-arrow-up:before {
+  content: "\e133";
+}
+.glyphicon-circle-arrow-down:before {
+  content: "\e134";
+}
+.glyphicon-globe:before {
+  content: "\e135";
+}
+.glyphicon-wrench:before {
+  content: "\e136";
+}
+.glyphicon-tasks:before {
+  content: "\e137";
+}
+.glyphicon-filter:before {
+  content: "\e138";
+}
+.glyphicon-briefcase:before {
+  content: "\e139";
+}
+.glyphicon-fullscreen:before {
+  content: "\e140";
+}
+.glyphicon-dashboard:before {
+  content: "\e141";
+}
+.glyphicon-paperclip:before {
+  content: "\e142";
+}
+.glyphicon-heart-empty:before {
+  content: "\e143";
+}
+.glyphicon-link:before {
+  content: "\e144";
+}
+.glyphicon-phone:before {
+  content: "\e145";
+}
+.glyphicon-pushpin:before {
+  content: "\e146";
+}
+.glyphicon-usd:before {
+  content: "\e148";
+}
+.glyphicon-gbp:before {
+  content: "\e149";
+}
+.glyphicon-sort:before {
+  content: "\e150";
+}
+.glyphicon-sort-by-alphabet:before {
+  content: "\e151";
+}
+.glyphicon-sort-by-alphabet-alt:before {
+  content: "\e152";
+}
+.glyphicon-sort-by-order:before {
+  content: "\e153";
+}
+.glyphicon-sort-by-order-alt:before {
+  content: "\e154";
+}
+.glyphicon-sort-by-attributes:before {
+  content: "\e155";
+}
+.glyphicon-sort-by-attributes-alt:before {
+  content: "\e156";
+}
+.glyphicon-unchecked:before {
+  content: "\e157";
+}
+.glyphicon-expand:before {
+  content: "\e158";
+}
+.glyphicon-collapse-down:before {
+  content: "\e159";
+}
+.glyphicon-collapse-up:before {
+  content: "\e160";
+}
+.glyphicon-log-in:before {
+  content: "\e161";
+}
+.glyphicon-flash:before {
+  content: "\e162";
+}
+.glyphicon-log-out:before {
+  content: "\e163";
+}
+.glyphicon-new-window:before {
+  content: "\e164";
+}
+.glyphicon-record:before {
+  content: "\e165";
+}
+.glyphicon-save:before {
+  content: "\e166";
+}
+.glyphicon-open:before {
+  content: "\e167";
+}
+.glyphicon-saved:before {
+  content: "\e168";
+}
+.glyphicon-import:before {
+  content: "\e169";
+}
+.glyphicon-export:before {
+  content: "\e170";
+}
+.glyphicon-send:before {
+  content: "\e171";
+}
+.glyphicon-floppy-disk:before {
+  content: "\e172";
+}
+.glyphicon-floppy-saved:before {
+  content: "\e173";
+}
+.glyphicon-floppy-remove:before {
+  content: "\e174";
+}
+.glyphicon-floppy-save:before {
+  content: "\e175";
+}
+.glyphicon-floppy-open:before {
+  content: "\e176";
+}
+.glyphicon-credit-card:before {
+  content: "\e177";
+}
+.glyphicon-transfer:before {
+  content: "\e178";
+}
+.glyphicon-cutlery:before {
+  content: "\e179";
+}
+.glyphicon-header:before {
+  content: "\e180";
+}
+.glyphicon-compressed:before {
+  content: "\e181";
+}
+.glyphicon-earphone:before {
+  content: "\e182";
+}
+.glyphicon-phone-alt:before {
+  content: "\e183";
+}
+.glyphicon-tower:before {
+  content: "\e184";
+}
+.glyphicon-stats:before {
+  content: "\e185";
+}
+.glyphicon-sd-video:before {
+  content: "\e186";
+}
+.glyphicon-hd-video:before {
+  content: "\e187";
+}
+.glyphicon-subtitles:before {
+  content: "\e188";
+}
+.glyphicon-sound-stereo:before {
+  content: "\e189";
+}
+.glyphicon-sound-dolby:before {
+  content: "\e190";
+}
+.glyphicon-sound-5-1:before {
+  content: "\e191";
+}
+.glyphicon-sound-6-1:before {
+  content: "\e192";
+}
+.glyphicon-sound-7-1:before {
+  content: "\e193";
+}
+.glyphicon-copyright-mark:before {
+  content: "\e194";
+}
+.glyphicon-registration-mark:before {
+  content: "\e195";
+}
+.glyphicon-cloud-download:before {
+  content: "\e197";
+}
+.glyphicon-cloud-upload:before {
+  content: "\e198";
+}
+.glyphicon-tree-conifer:before {
+  content: "\e199";
+}
+.glyphicon-tree-deciduous:before {
+  content: "\e200";
+}
+.glyphicon-cd:before {
+  content: "\e201";
+}
+.glyphicon-save-file:before {
+  content: "\e202";
+}
+.glyphicon-open-file:before {
+  content: "\e203";
+}
+.glyphicon-level-up:before {
+  content: "\e204";
+}
+.glyphicon-copy:before {
+  content: "\e205";
+}
+.glyphicon-paste:before {
+  content: "\e206";
+}
+.glyphicon-alert:before {
+  content: "\e209";
+}
+.glyphicon-equalizer:before {
+  content: "\e210";
+}
+.glyphicon-king:before {
+  content: "\e211";
+}
+.glyphicon-queen:before {
+  content: "\e212";
+}
+.glyphicon-pawn:before {
+  content: "\e213";
+}
+.glyphicon-bishop:before {
+  content: "\e214";
+}
+.glyphicon-knight:before {
+  content: "\e215";
+}
+.glyphicon-baby-formula:before {
+  content: "\e216";
+}
+.glyphicon-tent:before {
+  content: "\26fa";
+}
+.glyphicon-blackboard:before {
+  content: "\e218";
+}
+.glyphicon-bed:before {
+  content: "\e219";
+}
+.glyphicon-apple:before {
+  content: "\f8ff";
+}
+.glyphicon-erase:before {
+  content: "\e221";
+}
+.glyphicon-hourglass:before {
+  content: "\231b";
+}
+.glyphicon-lamp:before {
+  content: "\e223";
+}
+.glyphicon-duplicate:before {
+  content: "\e224";
+}
+.glyphicon-piggy-bank:before {
+  content: "\e225";
+}
+.glyphicon-scissors:before {
+  content: "\e226";
+}
+.glyphicon-bitcoin:before {
+  content: "\e227";
+}
+.glyphicon-btc:before {
+  content: "\e227";
+}
+.glyphicon-xbt:before {
+  content: "\e227";
+}
+.glyphicon-yen:before {
+  content: "\00a5";
+}
+.glyphicon-jpy:before {
+  content: "\00a5";
+}
+.glyphicon-ruble:before {
+  content: "\20bd";
+}
+.glyphicon-rub:before {
+  content: "\20bd";
+}
+.glyphicon-scale:before {
+  content: "\e230";
+}
+.glyphicon-ice-lolly:before {
+  content: "\e231";
+}
+.glyphicon-ice-lolly-tasted:before {
+  content: "\e232";
+}
+.glyphicon-education:before {
+  content: "\e233";
+}
+.glyphicon-option-horizontal:before {
+  content: "\e234";
+}
+.glyphicon-option-vertical:before {
+  content: "\e235";
+}
+.glyphicon-menu-hamburger:before {
+  content: "\e236";
+}
+.glyphicon-modal-window:before {
+  content: "\e237";
+}
+.glyphicon-oil:before {
+  content: "\e238";
+}
+.glyphicon-grain:before {
+  content: "\e239";
+}
+.glyphicon-sunglasses:before {
+  content: "\e240";
+}
+.glyphicon-text-size:before {
+  content: "\e241";
+}
+.glyphicon-text-color:before {
+  content: "\e242";
+}
+.glyphicon-text-background:before {
+  content: "\e243";
+}
+.glyphicon-object-align-top:before {
+  content: "\e244";
+}
+.glyphicon-object-align-bottom:before {
+  content: "\e245";
+}
+.glyphicon-object-align-horizontal:before {
+  content: "\e246";
+}
+.glyphicon-object-align-left:before {
+  content: "\e247";
+}
+.glyphicon-object-align-vertical:before {
+  content: "\e248";
+}
+.glyphicon-object-align-right:before {
+  content: "\e249";
+}
+.glyphicon-triangle-right:before {
+  content: "\e250";
+}
+.glyphicon-triangle-left:before {
+  content: "\e251";
+}
+.glyphicon-triangle-bottom:before {
+  content: "\e252";
+}
+.glyphicon-triangle-top:before {
+  content: "\e253";
+}
+.glyphicon-console:before {
+  content: "\e254";
+}
+.glyphicon-superscript:before {
+  content: "\e255";
+}
+.glyphicon-subscript:before {
+  content: "\e256";
+}
+.glyphicon-menu-left:before {
+  content: "\e257";
+}
+.glyphicon-menu-right:before {
+  content: "\e258";
+}
+.glyphicon-menu-down:before {
+  content: "\e259";
+}
+.glyphicon-menu-up:before {
+  content: "\e260";
+}
+* {
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+}
+*:before,
+*:after {
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+}
+html {
+  font-size: 10px;
+  -webkit-tap-highlight-color: rgba(0, 0, 0, 0);
+}
+body {
+  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
+  font-size: 14px;
+  line-height: 1.42857143;
+  color: #333333;
+  background-color: #fff;
+}
+input,
+button,
+select,
+textarea {
+  font-family: inherit;
+  font-size: inherit;
+  line-height: inherit;
+}
+a {
+  color: #337ab7;
+  text-decoration: none;
+}
+a:hover,
+a:focus {
+  color: #23527c;
+  text-decoration: underline;
+}
+a:focus {
+  outline: 5px auto -webkit-focus-ring-color;
+  outline-offset: -2px;
+}
+figure {
+  margin: 0;
+}
+img {
+  vertical-align: middle;
+}
+.img-responsive,
+.thumbnail > img,
+.thumbnail a > img,
+.carousel-inner > .item > img,
+.carousel-inner > .item > a > img {
+  display: block;
+  max-width: 100%;
+  height: auto;
+}
+.img-rounded {
+  border-radius: 6px;
+}
+.img-thumbnail {
+  padding: 4px;
+  line-height: 1.42857143;
+  background-color: #fff;
+  border: 1px solid #ddd;
+  border-radius: 4px;
+  -webkit-transition: all 0.2s ease-in-out;
+  -o-transition: all 0.2s ease-in-out;
+  transition: all 0.2s ease-in-out;
+  display: inline-block;
+  max-width: 100%;
+  height: auto;
+}
+.img-circle {
+  border-radius: 50%;
+}
+hr {
+  margin-top: 20px;
+  margin-bottom: 20px;
+  border: 0;
+  border-top: 1px solid #eeeeee;
+}
+.sr-only {
+  position: absolute;
+  width: 1px;
+  height: 1px;
+  padding: 0;
+  margin: -1px;
+  overflow: hidden;
+  clip: rect(0, 0, 0, 0);
+  border: 0;
+}
+.sr-only-focusable:active,
+.sr-only-focusable:focus {
+  position: static;
+  width: auto;
+  height: auto;
+  margin: 0;
+  overflow: visible;
+  clip: auto;
+}
+[role="button"] {
+  cursor: pointer;
+}
+h1,
+h2,
+h3,
+h4,
+h5,
+h6,
+.h1,
+.h2,
+.h3,
+.h4,
+.h5,
+.h6 {
+  font-family: inherit;
+  font-weight: 500;
+  line-height: 1.1;
+  color: inherit;
+}
+h1 small,
+h2 small,
+h3 small,
+h4 small,
+h5 small,
+h6 small,
+.h1 small,
+.h2 small,
+.h3 small,
+.h4 small,
+.h5 small,
+.h6 small,
+h1 .small,
+h2 .small,
+h3 .small,
+h4 .small,
+h5 .small,
+h6 .small,
+.h1 .small,
+.h2 .small,
+.h3 .small,
+.h4 .small,
+.h5 .small,
+.h6 .small {
+  font-weight: 400;
+  line-height: 1;
+  color: #777777;
+}
+h1,
+.h1,
+h2,
+.h2,
+h3,
+.h3 {
+  margin-top: 20px;
+  margin-bottom: 10px;
+}
+h1 small,
+.h1 small,
+h2 small,
+.h2 small,
+h3 small,
+.h3 small,
+h1 .small,
+.h1 .small,
+h2 .small,
+.h2 .small,
+h3 .small,
+.h3 .small {
+  font-size: 65%;
+}
+h4,
+.h4,
+h5,
+.h5,
+h6,
+.h6 {
+  margin-top: 10px;
+  margin-bottom: 10px;
+}
+h4 small,
+.h4 small,
+h5 small,
+.h5 small,
+h6 small,
+.h6 small,
+h4 .small,
+.h4 .small,
+h5 .small,
+.h5 .small,
+h6 .small,
+.h6 .small {
+  font-size: 75%;
+}
+h1,
+.h1 {
+  font-size: 36px;
+}
+h2,
+.h2 {
+  font-size: 30px;
+}
+h3,
+.h3 {
+  font-size: 24px;
+}
+h4,
+.h4 {
+  font-size: 18px;
+}
+h5,
+.h5 {
+  font-size: 14px;
+}
+h6,
+.h6 {
+  font-size: 12px;
+}
+p {
+  margin: 0 0 10px;
+}
+.lead {
+  margin-bottom: 20px;
+  font-size: 16px;
+  font-weight: 300;
+  line-height: 1.4;
+}
+@media (min-width: 768px) {
+  .lead {
+    font-size: 21px;
+  }
+}
+small,
+.small {
+  font-size: 85%;
+}
+mark,
+.mark {
+  padding: 0.2em;
+  background-color: #fcf8e3;
+}
+.text-left {
+  text-align: left;
+}
+.text-right {
+  text-align: right;
+}
+.text-center {
+  text-align: center;
+}
+.text-justify {
+  text-align: justify;
+}
+.text-nowrap {
+  white-space: nowrap;
+}
+.text-lowercase {
+  text-transform: lowercase;
+}
+.text-uppercase {
+  text-transform: uppercase;
+}
+.text-capitalize {
+  text-transform: capitalize;
+}
+.text-muted {
+  color: #777777;
+}
+.text-primary {
+  color: #337ab7;
+}
+a.text-primary:hover,
+a.text-primary:focus {
+  color: #286090;
+}
+.text-success {
+  color: #3c763d;
+}
+a.text-success:hover,
+a.text-success:focus {
+  color: #2b542c;
+}
+.text-info {
+  color: #31708f;
+}
+a.text-info:hover,
+a.text-info:focus {
+  color: #245269;
+}
+.text-warning {
+  color: #8a6d3b;
+}
+a.text-warning:hover,
+a.text-warning:focus {
+  color: #66512c;
+}
+.text-danger {
+  color: #a94442;
+}
+a.text-danger:hover,
+a.text-danger:focus {
+  color: #843534;
+}
+.bg-primary {
+  color: #fff;
+  background-color: #337ab7;
+}
+a.bg-primary:hover,
+a.bg-primary:focus {
+  background-color: #286090;
+}
+.bg-success {
+  background-color: #dff0d8;
+}
+a.bg-success:hover,
+a.bg-success:focus {
+  background-color: #c1e2b3;
+}
+.bg-info {
+  background-color: #d9edf7;
+}
+a.bg-info:hover,
+a.bg-info:focus {
+  background-color: #afd9ee;
+}
+.bg-warning {
+  background-color: #fcf8e3;
+}
+a.bg-warning:hover,
+a.bg-warning:focus {
+  background-color: #f7ecb5;
+}
+.bg-danger {
+  background-color: #f2dede;
+}
+a.bg-danger:hover,
+a.bg-danger:focus {
+  background-color: #e4b9b9;
+}
+.page-header {
+  padding-bottom: 9px;
+  margin: 40px 0 20px;
+  border-bottom: 1px solid #eeeeee;
+}
+ul,
+ol {
+  margin-top: 0;
+  margin-bottom: 10px;
+}
+ul ul,
+ol ul,
+ul ol,
+ol ol {
+  margin-bottom: 0;
+}
+.list-unstyled {
+  padding-left: 0;
+  list-style: none;
+}
+.list-inline {
+  padding-left: 0;
+  list-style: none;
+  margin-left: -5px;
+}
+.list-inline > li {
+  display: inline-block;
+  padding-right: 5px;
+  padding-left: 5px;
+}
+dl {
+  margin-top: 0;
+  margin-bottom: 20px;
+}
+dt,
+dd {
+  line-height: 1.42857143;
+}
+dt {
+  font-weight: 700;
+}
+dd {
+  margin-left: 0;
+}
+@media (min-width: 768px) {
+  .dl-horizontal dt {
+    float: left;
+    width: 160px;
+    clear: left;
+    text-align: right;
+    overflow: hidden;
+    text-overflow: ellipsis;
+    white-space: nowrap;
+  }
+  .dl-horizontal dd {
+    margin-left: 180px;
+  }
+}
+abbr[title],
+abbr[data-original-title] {
+  cursor: help;
+}
+.initialism {
+  font-size: 90%;
+  text-transform: uppercase;
+}
+blockquote {
+  padding: 10px 20px;
+  margin: 0 0 20px;
+  font-size: 17.5px;
+  border-left: 5px solid #eeeeee;
+}
+blockquote p:last-child,
+blockquote ul:last-child,
+blockquote ol:last-child {
+  margin-bottom: 0;
+}
+blockquote footer,
+blockquote small,
+blockquote .small {
+  display: block;
+  font-size: 80%;
+  line-height: 1.42857143;
+  color: #777777;
+}
+blockquote footer:before,
+blockquote small:before,
+blockquote .small:before {
+  content: "\2014 \00A0";
+}
+.blockquote-reverse,
+blockquote.pull-right {
+  padding-right: 15px;
+  padding-left: 0;
+  text-align: right;
+  border-right: 5px solid #eeeeee;
+  border-left: 0;
+}
+.blockquote-reverse footer:before,
+blockquote.pull-right footer:before,
+.blockquote-reverse small:before,
+blockquote.pull-right small:before,
+.blockquote-reverse .small:before,
+blockquote.pull-right .small:before {
+  content: "";
+}
+.blockquote-reverse footer:after,
+blockquote.pull-right footer:after,
+.blockquote-reverse small:after,
+blockquote.pull-right small:after,
+.blockquote-reverse .small:after,
+blockquote.pull-right .small:after {
+  content: "\00A0 \2014";
+}
+address {
+  margin-bottom: 20px;
+  font-style: normal;
+  line-height: 1.42857143;
+}
+code,
+kbd,
+pre,
+samp {
+  font-family: Menlo, Monaco, Consolas, "Courier New", monospace;
+}
+code {
+  padding: 2px 4px;
+  font-size: 90%;
+  color: #c7254e;
+  background-color: #f9f2f4;
+  border-radius: 4px;
+}
+kbd {
+  padding: 2px 4px;
+  font-size: 90%;
+  color: #fff;
+  background-color: #333;
+  border-radius: 3px;
+  -webkit-box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.25);
+  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.25);
+}
+kbd kbd {
+  padding: 0;
+  font-size: 100%;
+  font-weight: 700;
+  -webkit-box-shadow: none;
+  box-shadow: none;
+}
+pre {
+  display: block;
+  padding: 9.5px;
+  margin: 0 0 10px;
+  font-size: 13px;
+  line-height: 1.42857143;
+  color: #333333;
+  word-break: break-all;
+  word-wrap: break-word;
+  background-color: #f5f5f5;
+  border: 1px solid #ccc;
+  border-radius: 4px;
+}
+pre code {
+  padding: 0;
+  font-size: inherit;
+  color: inherit;
+  white-space: pre-wrap;
+  background-color: transparent;
+  border-radius: 0;
+}
+.pre-scrollable {
+  max-height: 340px;
+  overflow-y: scroll;
+}
+.container {
+  padding-right: 15px;
+  padding-left: 15px;
+  margin-right: auto;
+  margin-left: auto;
+}
+@media (min-width: 768px) {
+  .container {
+    width: 750px;
+  }
+}
+@media (min-width: 992px) {
+  .container {
+    width: 970px;
+  }
+}
+@media (min-width: 1200px) {
+  .container {
+    width: 1170px;
+  }
+}
+.container-fluid {
+  padding-right: 15px;
+  padding-left: 15px;
+  margin-right: auto;
+  margin-left: auto;
+}
+.row {
+  margin-right: -15px;
+  margin-left: -15px;
+}
+.row-no-gutters {
+  margin-right: 0;
+  margin-left: 0;
+}
+.row-no-gutters [class*="col-"] {
+  padding-right: 0;
+  padding-left: 0;
+}
+.col-xs-1,
+.col-sm-1,
+.col-md-1,
+.col-lg-1,
+.col-xs-2,
+.col-sm-2,
+.col-md-2,
+.col-lg-2,
+.col-xs-3,
+.col-sm-3,
+.col-md-3,
+.col-lg-3,
+.col-xs-4,
+.col-sm-4,
+.col-md-4,
+.col-lg-4,
+.col-xs-5,
+.col-sm-5,
+.col-md-5,
+.col-lg-5,
+.col-xs-6,
+.col-sm-6,
+.col-md-6,
+.col-lg-6,
+.col-xs-7,
+.col-sm-7,
+.col-md-7,
+.col-lg-7,
+.col-xs-8,
+.col-sm-8,
+.col-md-8,
+.col-lg-8,
+.col-xs-9,
+.col-sm-9,
+.col-md-9,
+.col-lg-9,
+.col-xs-10,
+.col-sm-10,
+.col-md-10,
+.col-lg-10,
+.col-xs-11,
+.col-sm-11,
+.col-md-11,
+.col-lg-11,
+.col-xs-12,
+.col-sm-12,
+.col-md-12,
+.col-lg-12 {
+  position: relative;
+  min-height: 1px;
+  padding-right: 15px;
+  padding-left: 15px;
+}
+.col-xs-1,
+.col-xs-2,
+.col-xs-3,
+.col-xs-4,
+.col-xs-5,
+.col-xs-6,
+.col-xs-7,
+.col-xs-8,
+.col-xs-9,
+.col-xs-10,
+.col-xs-11,
+.col-xs-12 {
+  float: left;
+}
+.col-xs-12 {
+  width: 100%;
+}
+.col-xs-11 {
+  width: 91.66666667%;
+}
+.col-xs-10 {
+  width: 83.33333333%;
+}
+.col-xs-9 {
+  width: 75%;
+}
+.col-xs-8 {
+  width: 66.66666667%;
+}
+.col-xs-7 {
+  width: 58.33333333%;
+}
+.col-xs-6 {
+  width: 50%;
+}
+.col-xs-5 {
+  width: 41.66666667%;
+}
+.col-xs-4 {
+  width: 33.33333333%;
+}
+.col-xs-3 {
+  width: 25%;
+}
+.col-xs-2 {
+  width: 16.66666667%;
+}
+.col-xs-1 {
+  width: 8.33333333%;
+}
+.col-xs-pull-12 {
+  right: 100%;
+}
+.col-xs-pull-11 {
+  right: 91.66666667%;
+}
+.col-xs-pull-10 {
+  right: 83.33333333%;
+}
+.col-xs-pull-9 {
+  right: 75%;
+}
+.col-xs-pull-8 {
+  right: 66.66666667%;
+}
+.col-xs-pull-7 {
+  right: 58.33333333%;
+}
+.col-xs-pull-6 {
+  right: 50%;
+}
+.col-xs-pull-5 {
+  right: 41.66666667%;
+}
+.col-xs-pull-4 {
+  right: 33.33333333%;
+}
+.col-xs-pull-3 {
+  right: 25%;
+}
+.col-xs-pull-2 {
+  right: 16.66666667%;
+}
+.col-xs-pull-1 {
+  right: 8.33333333%;
+}
+.col-xs-pull-0 {
+  right: auto;
+}
+.col-xs-push-12 {
+  left: 100%;
+}
+.col-xs-push-11 {
+  left: 91.66666667%;
+}
+.col-xs-push-10 {
+  left: 83.33333333%;
+}
+.col-xs-push-9 {
+  left: 75%;
+}
+.col-xs-push-8 {
+  left: 66.66666667%;
+}
+.col-xs-push-7 {
+  left: 58.33333333%;
+}
+.col-xs-push-6 {
+  left: 50%;
+}
+.col-xs-push-5 {
+  left: 41.66666667%;
+}
+.col-xs-push-4 {
+  left: 33.33333333%;
+}
+.col-xs-push-3 {
+  left: 25%;
+}
+.col-xs-push-2 {
+  left: 16.66666667%;
+}
+.col-xs-push-1 {
+  left: 8.33333333%;
+}
+.col-xs-push-0 {
+  left: auto;
+}
+.col-xs-offset-12 {
+  margin-left: 100%;
+}
+.col-xs-offset-11 {
+  margin-left: 91.66666667%;
+}
+.col-xs-offset-10 {
+  margin-left: 83.33333333%;
+}
+.col-xs-offset-9 {
+  margin-left: 75%;
+}
+.col-xs-offset-8 {
+  margin-left: 66.66666667%;
+}
+.col-xs-offset-7 {
+  margin-left: 58.33333333%;
+}
+.col-xs-offset-6 {
+  margin-left: 50%;
+}
+.col-xs-offset-5 {
+  margin-left: 41.66666667%;
+}
+.col-xs-offset-4 {
+  margin-left: 33.33333333%;
+}
+.col-xs-offset-3 {
+  margin-left: 25%;
+}
+.col-xs-offset-2 {
+  margin-left: 16.66666667%;
+}
+.col-xs-offset-1 {
+  margin-left: 8.33333333%;
+}
+.col-xs-offset-0 {
+  margin-left: 0%;
+}
+@media (min-width: 768px) {
+  .col-sm-1,
+  .col-sm-2,
+  .col-sm-3,
+  .col-sm-4,
+  .col-sm-5,
+  .col-sm-6,
+  .col-sm-7,
+  .col-sm-8,
+  .col-sm-9,
+  .col-sm-10,
+  .col-sm-11,
+  .col-sm-12 {
+    float: left;
+  }
+  .col-sm-12 {
+    width: 100%;
+  }
+  .col-sm-11 {
+    width: 91.66666667%;
+  }
+  .col-sm-10 {
+    width: 83.33333333%;
+  }
+  .col-sm-9 {
+    width: 75%;
+  }
+  .col-sm-8 {
+    width: 66.66666667%;
+  }
+  .col-sm-7 {
+    width: 58.33333333%;
+  }
+  .col-sm-6 {
+    width: 50%;
+  }
+  .col-sm-5 {
+    width: 41.66666667%;
+  }
+  .col-sm-4 {
+    width: 33.33333333%;
+  }
+  .col-sm-3 {
+    width: 25%;
+  }
+  .col-sm-2 {
+    width: 16.66666667%;
+  }
+  .col-sm-1 {
+    width: 8.33333333%;
+  }
+  .col-sm-pull-12 {
+    right: 100%;
+  }
+  .col-sm-pull-11 {
+    right: 91.66666667%;
+  }
+  .col-sm-pull-10 {
+    right: 83.33333333%;
+  }
+  .col-sm-pull-9 {
+    right: 75%;
+  }
+  .col-sm-pull-8 {
+    right: 66.66666667%;
+  }
+  .col-sm-pull-7 {
+    right: 58.33333333%;
+  }
+  .col-sm-pull-6 {
+    right: 50%;
+  }
+  .col-sm-pull-5 {
+    right: 41.66666667%;
+  }
+  .col-sm-pull-4 {
+    right: 33.33333333%;
+  }
+  .col-sm-pull-3 {
+    right: 25%;
+  }
+  .col-sm-pull-2 {
+    right: 16.66666667%;
+  }
+  .col-sm-pull-1 {
+    right: 8.33333333%;
+  }
+  .col-sm-pull-0 {
+    right: auto;
+  }
+  .col-sm-push-12 {
+    left: 100%;
+  }
+  .col-sm-push-11 {
+    left: 91.66666667%;
+  }
+  .col-sm-push-10 {
+    left: 83.33333333%;
+  }
+  .col-sm-push-9 {
+    left: 75%;
+  }
+  .col-sm-push-8 {
+    left: 66.66666667%;
+  }
+  .col-sm-push-7 {
+    left: 58.33333333%;
+  }
+  .col-sm-push-6 {
+    left: 50%;
+  }
+  .col-sm-push-5 {
+    left: 41.66666667%;
+  }
+  .col-sm-push-4 {
+    left: 33.33333333%;
+  }
+  .col-sm-push-3 {
+    left: 25%;
+  }
+  .col-sm-push-2 {
+    left: 16.66666667%;
+  }
+  .col-sm-push-1 {
+    left: 8.33333333%;
+  }
+  .col-sm-push-0 {
+    left: auto;
+  }
+  .col-sm-offset-12 {
+    margin-left: 100%;
+  }
+  .col-sm-offset-11 {
+    margin-left: 91.66666667%;
+  }
+  .col-sm-offset-10 {
+    margin-left: 83.33333333%;
+  }
+  .col-sm-offset-9 {
+    margin-left: 75%;
+  }
+  .col-sm-offset-8 {
+    margin-left: 66.66666667%;
+  }
+  .col-sm-offset-7 {
+    margin-left: 58.33333333%;
+  }
+  .col-sm-offset-6 {
+    margin-left: 50%;
+  }
+  .col-sm-offset-5 {
+    margin-left: 41.66666667%;
+  }
+  .col-sm-offset-4 {
+    margin-left: 33.33333333%;
+  }
+  .col-sm-offset-3 {
+    margin-left: 25%;
+  }
+  .col-sm-offset-2 {
+    margin-left: 16.66666667%;
+  }
+  .col-sm-offset-1 {
+    margin-left: 8.33333333%;
+  }
+  .col-sm-offset-0 {
+    margin-left: 0%;
+  }
+}
+@media (min-width: 992px) {
+  .col-md-1,
+  .col-md-2,
+  .col-md-3,
+  .col-md-4,
+  .col-md-5,
+  .col-md-6,
+  .col-md-7,
+  .col-md-8,
+  .col-md-9,
+  .col-md-10,
+  .col-md-11,
+  .col-md-12 {
+    float: left;
+  }
+  .col-md-12 {
+    width: 100%;
+  }
+  .col-md-11 {
+    width: 91.66666667%;
+  }
+  .col-md-10 {
+    width: 83.33333333%;
+  }
+  .col-md-9 {
+    width: 75%;
+  }
+  .col-md-8 {
+    width: 66.66666667%;
+  }
+  .col-md-7 {
+    width: 58.33333333%;
+  }
+  .col-md-6 {
+    width: 50%;
+  }
+  .col-md-5 {
+    width: 41.66666667%;
+  }
+  .col-md-4 {
+    width: 33.33333333%;
+  }
+  .col-md-3 {
+    width: 25%;
+  }
+  .col-md-2 {
+    width: 16.66666667%;
+  }
+  .col-md-1 {
+    width: 8.33333333%;
+  }
+  .col-md-pull-12 {
+    right: 100%;
+  }
+  .col-md-pull-11 {
+    right: 91.66666667%;
+  }
+  .col-md-pull-10 {
+    right: 83.33333333%;
+  }
+  .col-md-pull-9 {
+    right: 75%;
+  }
+  .col-md-pull-8 {
+    right: 66.66666667%;
+  }
+  .col-md-pull-7 {
+    right: 58.33333333%;
+  }
+  .col-md-pull-6 {
+    right: 50%;
+  }
+  .col-md-pull-5 {
+    right: 41.66666667%;
+  }
+  .col-md-pull-4 {
+    right: 33.33333333%;
+  }
+  .col-md-pull-3 {
+    right: 25%;
+  }
+  .col-md-pull-2 {
+    right: 16.66666667%;
+  }
+  .col-md-pull-1 {
+    right: 8.33333333%;
+  }
+  .col-md-pull-0 {
+    right: auto;
+  }
+  .col-md-push-12 {
+    left: 100%;
+  }
+  .col-md-push-11 {
+    left: 91.66666667%;
+  }
+  .col-md-push-10 {
+    left: 83.33333333%;
+  }
+  .col-md-push-9 {
+    left: 75%;
+  }
+  .col-md-push-8 {
+    left: 66.66666667%;
+  }
+  .col-md-push-7 {
+    left: 58.33333333%;
+  }
+  .col-md-push-6 {
+    left: 50%;
+  }
+  .col-md-push-5 {
+    left: 41.66666667%;
+  }
+  .col-md-push-4 {
+    left: 33.33333333%;
+  }
+  .col-md-push-3 {
+    left: 25%;
+  }
+  .col-md-push-2 {
+    left: 16.66666667%;
+  }
+  .col-md-push-1 {
+    left: 8.33333333%;
+  }
+  .col-md-push-0 {
+    left: auto;
+  }
+  .col-md-offset-12 {
+    margin-left: 100%;
+  }
+  .col-md-offset-11 {
+    margin-left: 91.66666667%;
+  }
+  .col-md-offset-10 {
+    margin-left: 83.33333333%;
+  }
+  .col-md-offset-9 {
+    margin-left: 75%;
+  }
+  .col-md-offset-8 {
+    margin-left: 66.66666667%;
+  }
+  .col-md-offset-7 {
+    margin-left: 58.33333333%;
+  }
+  .col-md-offset-6 {
+    margin-left: 50%;
+  }
+  .col-md-offset-5 {
+    margin-left: 41.66666667%;
+  }
+  .col-md-offset-4 {
+    margin-left: 33.33333333%;
+  }
+  .col-md-offset-3 {
+    margin-left: 25%;
+  }
+  .col-md-offset-2 {
+    margin-left: 16.66666667%;
+  }
+  .col-md-offset-1 {
+    margin-left: 8.33333333%;
+  }
+  .col-md-offset-0 {
+    margin-left: 0%;
+  }
+}
+@media (min-width: 1200px) {
+  .col-lg-1,
+  .col-lg-2,
+  .col-lg-3,
+  .col-lg-4,
+  .col-lg-5,
+  .col-lg-6,
+  .col-lg-7,
+  .col-lg-8,
+  .col-lg-9,
+  .col-lg-10,
+  .col-lg-11,
+  .col-lg-12 {
+    float: left;
+  }
+  .col-lg-12 {
+    width: 100%;
+  }
+  .col-lg-11 {
+    width: 91.66666667%;
+  }
+  .col-lg-10 {
+    width: 83.33333333%;
+  }
+  .col-lg-9 {
+    width: 75%;
+  }
+  .col-lg-8 {
+    width: 66.66666667%;
+  }
+  .col-lg-7 {
+    width: 58.33333333%;
+  }
+  .col-lg-6 {
+    width: 50%;
+  }
+  .col-lg-5 {
+    width: 41.66666667%;
+  }
+  .col-lg-4 {
+    width: 33.33333333%;
+  }
+  .col-lg-3 {
+    width: 25%;
+  }
+  .col-lg-2 {
+    width: 16.66666667%;
+  }
+  .col-lg-1 {
+    width: 8.33333333%;
+  }
+  .col-lg-pull-12 {
+    right: 100%;
+  }
+  .col-lg-pull-11 {
+    right: 91.66666667%;
+  }
+  .col-lg-pull-10 {
+    right: 83.33333333%;
+  }
+  .col-lg-pull-9 {
+    right: 75%;
+  }
+  .col-lg-pull-8 {
+    right: 66.66666667%;
+  }
+  .col-lg-pull-7 {
+    right: 58.33333333%;
+  }
+  .col-lg-pull-6 {
+    right: 50%;
+  }
+  .col-lg-pull-5 {
+    right: 41.66666667%;
+  }
+  .col-lg-pull-4 {
+    right: 33.33333333%;
+  }
+  .col-lg-pull-3 {
+    right: 25%;
+  }
+  .col-lg-pull-2 {
+    right: 16.66666667%;
+  }
+  .col-lg-pull-1 {
+    right: 8.33333333%;
+  }
+  .col-lg-pull-0 {
+    right: auto;
+  }
+  .col-lg-push-12 {
+    left: 100%;
+  }
+  .col-lg-push-11 {
+    left: 91.66666667%;
+  }
+  .col-lg-push-10 {
+    left: 83.33333333%;
+  }
+  .col-lg-push-9 {
+    left: 75%;
+  }
+  .col-lg-push-8 {
+    left: 66.66666667%;
+  }
+  .col-lg-push-7 {
+    left: 58.33333333%;
+  }
+  .col-lg-push-6 {
+    left: 50%;
+  }
+  .col-lg-push-5 {
+    left: 41.66666667%;
+  }
+  .col-lg-push-4 {
+    left: 33.33333333%;
+  }
+  .col-lg-push-3 {
+    left: 25%;
+  }
+  .col-lg-push-2 {
+    left: 16.66666667%;
+  }
+  .col-lg-push-1 {
+    left: 8.33333333%;
+  }
+  .col-lg-push-0 {
+    left: auto;
+  }
+  .col-lg-offset-12 {
+    margin-left: 100%;
+  }
+  .col-lg-offset-11 {
+    margin-left: 91.66666667%;
+  }
+  .col-lg-offset-10 {
+    margin-left: 83.33333333%;
+  }
+  .col-lg-offset-9 {
+    margin-left: 75%;
+  }
+  .col-lg-offset-8 {
+    margin-left: 66.66666667%;
+  }
+  .col-lg-offset-7 {
+    margin-left: 58.33333333%;
+  }
+  .col-lg-offset-6 {
+    margin-left: 50%;
+  }
+  .col-lg-offset-5 {
+    margin-left: 41.66666667%;
+  }
+  .col-lg-offset-4 {
+    margin-left: 33.33333333%;
+  }
+  .col-lg-offset-3 {
+    margin-left: 25%;
+  }
+  .col-lg-offset-2 {
+    margin-left: 16.66666667%;
+  }
+  .col-lg-offset-1 {
+    margin-left: 8.33333333%;
+  }
+  .col-lg-offset-0 {
+    margin-left: 0%;
+  }
+}
+table {
+  background-color: transparent;
+}
+table col[class*="col-"] {
+  position: static;
+  display: table-column;
+  float: none;
+}
+table td[class*="col-"],
+table th[class*="col-"] {
+  position: static;
+  display: table-cell;
+  float: none;
+}
+caption {
+  padding-top: 8px;
+  padding-bottom: 8px;
+  color: #777777;
+  text-align: left;
+}
+th {
+  text-align: left;
+}
+.table {
+  width: 100%;
+  max-width: 100%;
+  margin-bottom: 20px;
+}
+.table > thead > tr > th,
+.table > tbody > tr > th,
+.table > tfoot > tr > th,
+.table > thead > tr > td,
+.table > tbody > tr > td,
+.table > tfoot > tr > td {
+  padding: 8px;
+  line-height: 1.42857143;
+  vertical-align: top;
+  border-top: 1px solid #ddd;
+}
+.table > thead > tr > th {
+  vertical-align: bottom;
+  border-bottom: 2px solid #ddd;
+}
+.table > caption + thead > tr:first-child > th,
+.table > colgroup + thead > tr:first-child > th,
+.table > thead:first-child > tr:first-child > th,
+.table > caption + thead > tr:first-child > td,
+.table > colgroup + thead > tr:first-child > td,
+.table > thead:first-child > tr:first-child > td {
+  border-top: 0;
+}
+.table > tbody + tbody {
+  border-top: 2px solid #ddd;
+}
+.table .table {
+  background-color: #fff;
+}
+.table-condensed > thead > tr > th,
+.table-condensed > tbody > tr > th,
+.table-condensed > tfoot > tr > th,
+.table-condensed > thead > tr > td,
+.table-condensed > tbody > tr > td,
+.table-condensed > tfoot > tr > td {
+  padding: 5px;
+}
+.table-bordered {
+  border: 1px solid #ddd;
+}
+.table-bordered > thead > tr > th,
+.table-bordered > tbody > tr > th,
+.table-bordered > tfoot > tr > th,
+.table-bordered > thead > tr > td,
+.table-bordered > tbody > tr > td,
+.table-bordered > tfoot > tr > td {
+  border: 1px solid #ddd;
+}
+.table-bordered > thead > tr > th,
+.table-bordered > thead > tr > td {
+  border-bottom-width: 2px;
+}
+.table-striped > tbody > tr:nth-of-type(odd) {
+  background-color: #f9f9f9;
+}
+.table-hover > tbody > tr:hover {
+  background-color: #f5f5f5;
+}
+.table > thead > tr > td.active,
+.table > tbody > tr > td.active,
+.table > tfoot > tr > td.active,
+.table > thead > tr > th.active,
+.table > tbody > tr > th.active,
+.table > tfoot > tr > th.active,
+.table > thead > tr.active > td,
+.table > tbody > tr.active > td,
+.table > tfoot > tr.active > td,
+.table > thead > tr.active > th,
+.table > tbody > tr.active > th,
+.table > tfoot > tr.active > th {
+  background-color: #f5f5f5;
+}
+.table-hover > tbody > tr > td.active:hover,
+.table-hover > tbody > tr > th.active:hover,
+.table-hover > tbody > tr.active:hover > td,
+.table-hover > tbody > tr:hover > .active,
+.table-hover > tbody > tr.active:hover > th {
+  background-color: #e8e8e8;
+}
+.table > thead > tr > td.success,
+.table > tbody > tr > td.success,
+.table > tfoot > tr > td.success,
+.table > thead > tr > th.success,
+.table > tbody > tr > th.success,
+.table > tfoot > tr > th.success,
+.table > thead > tr.success > td,
+.table > tbody > tr.success > td,
+.table > tfoot > tr.success > td,
+.table > thead > tr.success > th,
+.table > tbody > tr.success > th,
+.table > tfoot > tr.success > th {
+  background-color: #dff0d8;
+}
+.table-hover > tbody > tr > td.success:hover,
+.table-hover > tbody > tr > th.success:hover,
+.table-hover > tbody > tr.success:hover > td,
+.table-hover > tbody > tr:hover > .success,
+.table-hover > tbody > tr.success:hover > th {
+  background-color: #d0e9c6;
+}
+.table > thead > tr > td.info,
+.table > tbody > tr > td.info,
+.table > tfoot > tr > td.info,
+.table > thead > tr > th.info,
+.table > tbody > tr > th.info,
+.table > tfoot > tr > th.info,
+.table > thead > tr.info > td,
+.table > tbody > tr.info > td,
+.table > tfoot > tr.info > td,
+.table > thead > tr.info > th,
+.table > tbody > tr.info > th,
+.table > tfoot > tr.info > th {
+  background-color: #d9edf7;
+}
+.table-hover > tbody > tr > td.info:hover,
+.table-hover > tbody > tr > th.info:hover,
+.table-hover > tbody > tr.info:hover > td,
+.table-hover > tbody > tr:hover > .info,
+.table-hover > tbody > tr.info:hover > th {
+  background-color: #c4e3f3;
+}
+.table > thead > tr > td.warning,
+.table > tbody > tr > td.warning,
+.table > tfoot > tr > td.warning,
+.table > thead > tr > th.warning,
+.table > tbody > tr > th.warning,
+.table > tfoot > tr > th.warning,
+.table > thead > tr.warning > td,
+.table > tbody > tr.warning > td,
+.table > tfoot > tr.warning > td,
+.table > thead > tr.warning > th,
+.table > tbody > tr.warning > th,
+.table > tfoot > tr.warning > th {
+  background-color: #fcf8e3;
+}
+.table-hover > tbody > tr > td.warning:hover,
+.table-hover > tbody > tr > th.warning:hover,
+.table-hover > tbody > tr.warning:hover > td,
+.table-hover > tbody > tr:hover > .warning,
+.table-hover > tbody > tr.warning:hover > th {
+  background-color: #faf2cc;
+}
+.table > thead > tr > td.danger,
+.table > tbody > tr > td.danger,
+.table > tfoot > tr > td.danger,
+.table > thead > tr > th.danger,
+.table > tbody > tr > th.danger,
+.table > tfoot > tr > th.danger,
+.table > thead > tr.danger > td,
+.table > tbody > tr.danger > td,
+.table > tfoot > tr.danger > td,
+.table > thead > tr.danger > th,
+.table > tbody > tr.danger > th,
+.table > tfoot > tr.danger > th {
+  background-color: #f2dede;
+}
+.table-hover > tbody > tr > td.danger:hover,
+.table-hover > tbody > tr > th.danger:hover,
+.table-hover > tbody > tr.danger:hover > td,
+.table-hover > tbody > tr:hover > .danger,
+.table-hover > tbody > tr.danger:hover > th {
+  background-color: #ebcccc;
+}
+.table-responsive {
+  min-height: 0.01%;
+  overflow-x: auto;
+}
+@media screen and (max-width: 767px) {
+  .table-responsive {
+    width: 100%;
+    margin-bottom: 15px;
+    overflow-y: hidden;
+    -ms-overflow-style: -ms-autohiding-scrollbar;
+    border: 1px solid #ddd;
+  }
+  .table-responsive > .table {
+    margin-bottom: 0;
+  }
+  .table-responsive > .table > thead > tr > th,
+  .table-responsive > .table > tbody > tr > th,
+  .table-responsive > .table > tfoot > tr > th,
+  .table-responsive > .table > thead > tr > td,
+  .table-responsive > .table > tbody > tr > td,
+  .table-responsive > .table > tfoot > tr > td {
+    white-space: nowrap;
+  }
+  .table-responsive > .table-bordered {
+    border: 0;
+  }
+  .table-responsive > .table-bordered > thead > tr > th:first-child,
+  .table-responsive > .table-bordered > tbody > tr > th:first-child,
+  .table-responsive > .table-bordered > tfoot > tr > th:first-child,
+  .table-responsive > .table-bordered > thead > tr > td:first-child,
+  .table-responsive > .table-bordered > tbody > tr > td:first-child,
+  .table-responsive > .table-bordered > tfoot > tr > td:first-child {
+    border-left: 0;
+  }
+  .table-responsive > .table-bordered > thead > tr > th:last-child,
+  .table-responsive > .table-bordered > tbody > tr > th:last-child,
+  .table-responsive > .table-bordered > tfoot > tr > th:last-child,
+  .table-responsive > .table-bordered > thead > tr > td:last-child,
+  .table-responsive > .table-bordered > tbody > tr > td:last-child,
+  .table-responsive > .table-bordered > tfoot > tr > td:last-child {
+    border-right: 0;
+  }
+  .table-responsive > .table-bordered > tbody > tr:last-child > th,
+  .table-responsive > .table-bordered > tfoot > tr:last-child > th,
+  .table-responsive > .table-bordered > tbody > tr:last-child > td,
+  .table-responsive > .table-bordered > tfoot > tr:last-child > td {
+    border-bottom: 0;
+  }
+}
+fieldset {
+  min-width: 0;
+  padding: 0;
+  margin: 0;
+  border: 0;
+}
+legend {
+  display: block;
+  width: 100%;
+  padding: 0;
+  margin-bottom: 20px;
+  font-size: 21px;
+  line-height: inherit;
+  color: #333333;
+  border: 0;
+  border-bottom: 1px solid #e5e5e5;
+}
+label {
+  display: inline-block;
+  max-width: 100%;
+  margin-bottom: 5px;
+  font-weight: 700;
+}
+input[type="search"] {
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+  appearance: none;
+}
+input[type="radio"],
+input[type="checkbox"] {
+  margin: 4px 0 0;
+  margin-top: 1px \9;
+  line-height: normal;
+}
+input[type="radio"][disabled],
+input[type="checkbox"][disabled],
+input[type="radio"].disabled,
+input[type="checkbox"].disabled,
+fieldset[disabled] input[type="radio"],
+fieldset[disabled] input[type="checkbox"] {
+  cursor: not-allowed;
+}
+input[type="file"] {
+  display: block;
+}
+input[type="range"] {
+  display: block;
+  width: 100%;
+}
+select[multiple],
+select[size] {
+  height: auto;
+}
+input[type="file"]:focus,
+input[type="radio"]:focus,
+input[type="checkbox"]:focus {
+  outline: 5px auto -webkit-focus-ring-color;
+  outline-offset: -2px;
+}
+output {
+  display: block;
+  padding-top: 7px;
+  font-size: 14px;
+  line-height: 1.42857143;
+  color: #555555;
+}
+.form-control {
+  display: block;
+  width: 100%;
+  height: 34px;
+  padding: 6px 12px;
+  font-size: 14px;
+  line-height: 1.42857143;
+  color: #555555;
+  background-color: #fff;
+  background-image: none;
+  border: 1px solid #ccc;
+  border-radius: 4px;
+  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
+  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
+  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
+  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
+  -webkit-transition: border-color ease-in-out .15s, -webkit-box-shadow ease-in-out .15s;
+  transition: border-color ease-in-out .15s, -webkit-box-shadow ease-in-out .15s;
+  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
+  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s, -webkit-box-shadow ease-in-out .15s;
+}
+.form-control:focus {
+  border-color: #66afe9;
+  outline: 0;
+  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, .075), 0 0 8px rgba(102, 175, 233, 0.6);
+  box-shadow: inset 0 1px 1px rgba(0, 0, 0, .075), 0 0 8px rgba(102, 175, 233, 0.6);
+}
+.form-control::-moz-placeholder {
+  color: #999;
+  opacity: 1;
+}
+.form-control:-ms-input-placeholder {
+  color: #999;
+}
+.form-control::-webkit-input-placeholder {
+  color: #999;
+}
+.form-control::-ms-expand {
+  background-color: transparent;
+  border: 0;
+}
+.form-control[disabled],
+.form-control[readonly],
+fieldset[disabled] .form-control {
+  background-color: #eeeeee;
+  opacity: 1;
+}
+.form-control[disabled],
+fieldset[disabled] .form-control {
+  cursor: not-allowed;
+}
+textarea.form-control {
+  height: auto;
+}
+@media screen and (-webkit-min-device-pixel-ratio: 0) {
+  input[type="date"].form-control,
+  input[type="time"].form-control,
+  input[type="datetime-local"].form-control,
+  input[type="month"].form-control {
+    line-height: 34px;
+  }
+  input[type="date"].input-sm,
+  input[type="time"].input-sm,
+  input[type="datetime-local"].input-sm,
+  input[type="month"].input-sm,
+  .input-group-sm input[type="date"],
+  .input-group-sm input[type="time"],
+  .input-group-sm input[type="datetime-local"],
+  .input-group-sm input[type="month"] {
+    line-height: 30px;
+  }
+  input[type="date"].input-lg,
+  input[type="time"].input-lg,
+  input[type="datetime-local"].input-lg,
+  input[type="month"].input-lg,
+  .input-group-lg input[type="date"],
+  .input-group-lg input[type="time"],
+  .input-group-lg input[type="datetime-local"],
+  .input-group-lg input[type="month"] {
+    line-height: 46px;
+  }
+}
+.form-group {
+  margin-bottom: 15px;
+}
+.radio,
+.checkbox {
+  position: relative;
+  display: block;
+  margin-top: 10px;
+  margin-bottom: 10px;
+}
+.radio.disabled label,
+.checkbox.disabled label,
+fieldset[disabled] .radio label,
+fieldset[disabled] .checkbox label {
+  cursor: not-allowed;
+}
+.radio label,
+.checkbox label {
+  min-height: 20px;
+  padding-left: 20px;
+  margin-bottom: 0;
+  font-weight: 400;
+  cursor: pointer;
+}
+.radio input[type="radio"],
+.radio-inline input[type="radio"],
+.checkbox input[type="checkbox"],
+.checkbox-inline input[type="checkbox"] {
+  position: absolute;
+  margin-top: 4px \9;
+  margin-left: -20px;
+}
+.radio + .radio,
+.checkbox + .checkbox {
+  margin-top: -5px;
+}
+.radio-inline,
+.checkbox-inline {
+  position: relative;
+  display: inline-block;
+  padding-left: 20px;
+  margin-bottom: 0;
+  font-weight: 400;
+  vertical-align: middle;
+  cursor: pointer;
+}
+.radio-inline.disabled,
+.checkbox-inline.disabled,
+fieldset[disabled] .radio-inline,
+fieldset[disabled] .checkbox-inline {
+  cursor: not-allowed;
+}
+.radio-inline + .radio-inline,
+.checkbox-inline + .checkbox-inline {
+  margin-top: 0;
+  margin-left: 10px;
+}
+.form-control-static {
+  min-height: 34px;
+  padding-top: 7px;
+  padding-bottom: 7px;
+  margin-bottom: 0;
+}
+.form-control-static.input-lg,
+.form-control-static.input-sm {
+  padding-right: 0;
+  padding-left: 0;
+}
+.input-sm {
+  height: 30px;
+  padding: 5px 10px;
+  font-size: 12px;
+  line-height: 1.5;
+  border-radius: 3px;
+}
+select.input-sm {
+  height: 30px;
+  line-height: 30px;
+}
+textarea.input-sm,
+select[multiple].input-sm {
+  height: auto;
+}
+.form-group-sm .form-control {
+  height: 30px;
+  padding: 5px 10px;
+  font-size: 12px;
+  line-height: 1.5;
+  border-radius: 3px;
+}
+.form-group-sm select.form-control {
+  height: 30px;
+  line-height: 30px;
+}
+.form-group-sm textarea.form-control,
+.form-group-sm select[multiple].form-control {
+  height: auto;
+}
+.form-group-sm .form-control-static {
+  height: 30px;
+  min-height: 32px;
+  padding: 6px 10px;
+  font-size: 12px;
+  line-height: 1.5;
+}
+.input-lg {
+  height: 46px;
+  padding: 10px 16px;
+  font-size: 18px;
+  line-height: 1.3333333;
+  border-radius: 6px;
+}
+select.input-lg {
+  height: 46px;
+  line-height: 46px;
+}
+textarea.input-lg,
+select[multiple].input-lg {
+  height: auto;
+}
+.form-group-lg .form-control {
+  height: 46px;
+  padding: 10px 16px;
+  font-size: 18px;
+  line-height: 1.3333333;
+  border-radius: 6px;
+}
+.form-group-lg select.form-control {
+  height: 46px;
+  line-height: 46px;
+}
+.form-group-lg textarea.form-control,
+.form-group-lg select[multiple].form-control {
+  height: auto;
+}
+.form-group-lg .form-control-static {
+  height: 46px;
+  min-height: 38px;
+  padding: 11px 16px;
+  font-size: 18px;
+  line-height: 1.3333333;
+}
+.has-feedback {
+  position: relative;
+}
+.has-feedback .form-control {
+  padding-right: 42.5px;
+}
+.form-control-feedback {
+  position: absolute;
+  top: 0;
+  right: 0;
+  z-index: 2;
+  display: block;
+  width: 34px;
+  height: 34px;
+  line-height: 34px;
+  text-align: center;
+  pointer-events: none;
+}
+.input-lg + .form-control-feedback,
+.input-group-lg + .form-control-feedback,
+.form-group-lg .form-control + .form-control-feedback {
+  width: 46px;
+  height: 46px;
+  line-height: 46px;
+}
+.input-sm + .form-control-feedback,
+.input-group-sm + .form-control-feedback,
+.form-group-sm .form-control + .form-control-feedback {
+  width: 30px;
+  height: 30px;
+  line-height: 30px;
+}
+.has-success .help-block,
+.has-success .control-label,
+.has-success .radio,
+.has-success .checkbox,
+.has-success .radio-inline,
+.has-success .checkbox-inline,
+.has-success.radio label,
+.has-success.checkbox label,
+.has-success.radio-inline label,
+.has-success.checkbox-inline label {
+  color: #3c763d;
+}
+.has-success .form-control {
+  border-color: #3c763d;
+  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
+  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
+}
+.has-success .form-control:focus {
+  border-color: #2b542c;
+  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #67b168;
+  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #67b168;
+}
+.has-success .input-group-addon {
+  color: #3c763d;
+  background-color: #dff0d8;
+  border-color: #3c763d;
+}
+.has-success .form-control-feedback {
+  color: #3c763d;
+}
+.has-warning .help-block,
+.has-warning .control-label,
+.has-warning .radio,
+.has-warning .checkbox,
+.has-warning .radio-inline,
+.has-warning .checkbox-inline,
+.has-warning.radio label,
+.has-warning.checkbox label,
+.has-warning.radio-inline label,
+.has-warning.checkbox-inline label {
+  color: #8a6d3b;
+}
+.has-warning .form-control {
+  border-color: #8a6d3b;
+  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
+  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
+}
+.has-warning .form-control:focus {
+  border-color: #66512c;
+  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #c0a16b;
+  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #c0a16b;
+}
+.has-warning .input-group-addon {
+  color: #8a6d3b;
+  background-color: #fcf8e3;
+  border-color: #8a6d3b;
+}
+.has-warning .form-control-feedback {
+  color: #8a6d3b;
+}
+.has-error .help-block,
+.has-error .control-label,
+.has-error .radio,
+.has-error .checkbox,
+.has-error .radio-inline,
+.has-error .checkbox-inline,
+.has-error.radio label,
+.has-error.checkbox label,
+.has-error.radio-inline label,
+.has-error.checkbox-inline label {
+  color: #a94442;
+}
+.has-error .form-control {
+  border-color: #a94442;
+  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
+  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
+}
+.has-error .form-control:focus {
+  border-color: #843534;
+  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483;
+  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483;
+}
+.has-error .input-group-addon {
+  color: #a94442;
+  background-color: #f2dede;
+  border-color: #a94442;
+}
+.has-error .form-control-feedback {
+  color: #a94442;
+}
+.has-feedback label ~ .form-control-feedback {
+  top: 25px;
+}
+.has-feedback label.sr-only ~ .form-control-feedback {
+  top: 0;
+}
+.help-block {
+  display: block;
+  margin-top: 5px;
+  margin-bottom: 10px;
+  color: #737373;
+}
+@media (min-width: 768px) {
+  .form-inline .form-group {
+    display: inline-block;
+    margin-bottom: 0;
+    vertical-align: middle;
+  }
+  .form-inline .form-control {
+    display: inline-block;
+    width: auto;
+    vertical-align: middle;
+  }
+  .form-inline .form-control-static {
+    display: inline-block;
+  }
+  .form-inline .input-group {
+    display: inline-table;
+    vertical-align: middle;
+  }
+  .form-inline .input-group .input-group-addon,
+  .form-inline .input-group .input-group-btn,
+  .form-inline .input-group .form-control {
+    width: auto;
+  }
+  .form-inline .input-group > .form-control {
+    width: 100%;
+  }
+  .form-inline .control-label {
+    margin-bottom: 0;
+    vertical-align: middle;
+  }
+  .form-inline .radio,
+  .form-inline .checkbox {
+    display: inline-block;
+    margin-top: 0;
+    margin-bottom: 0;
+    vertical-align: middle;
+  }
+  .form-inline .radio label,
+  .form-inline .checkbox label {
+    padding-left: 0;
+  }
+  .form-inline .radio input[type="radio"],
+  .form-inline .checkbox input[type="checkbox"] {
+    position: relative;
+    margin-left: 0;
+  }
+  .form-inline .has-feedback .form-control-feedback {
+    top: 0;
+  }
+}
+.form-horizontal .radio,
+.form-horizontal .checkbox,
+.form-horizontal .radio-inline,
+.form-horizontal .checkbox-inline {
+  padding-top: 7px;
+  margin-top: 0;
+  margin-bottom: 0;
+}
+.form-horizontal .radio,
+.form-horizontal .checkbox {
+  min-height: 27px;
+}
+.form-horizontal .form-group {
+  margin-right: -15px;
+  margin-left: -15px;
+}
+@media (min-width: 768px) {
+  .form-horizontal .control-label {
+    padding-top: 7px;
+    margin-bottom: 0;
+    text-align: right;
+  }
+}
+.form-horizontal .has-feedback .form-control-feedback {
+  right: 15px;
+}
+@media (min-width: 768px) {
+  .form-horizontal .form-group-lg .control-label {
+    padding-top: 11px;
+    font-size: 18px;
+  }
+}
+@media (min-width: 768px) {
+  .form-horizontal .form-group-sm .control-label {
+    padding-top: 6px;
+    font-size: 12px;
+  }
+}
+.btn {
+  display: inline-block;
+  margin-bottom: 0;
+  font-weight: normal;
+  text-align: center;
+  white-space: nowrap;
+  vertical-align: middle;
+  -ms-touch-action: manipulation;
+  touch-action: manipulation;
+  cursor: pointer;
+  background-image: none;
+  border: 1px solid transparent;
+  padding: 6px 12px;
+  font-size: 14px;
+  line-height: 1.42857143;
+  border-radius: 4px;
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+.btn:focus,
+.btn:active:focus,
+.btn.active:focus,
+.btn.focus,
+.btn:active.focus,
+.btn.active.focus {
+  outline: 5px auto -webkit-focus-ring-color;
+  outline-offset: -2px;
+}
+.btn:hover,
+.btn:focus,
+.btn.focus {
+  color: #333;
+  text-decoration: none;
+}
+.btn:active,
+.btn.active {
+  background-image: none;
+  outline: 0;
+  -webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
+  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
+}
+.btn.disabled,
+.btn[disabled],
+fieldset[disabled] .btn {
+  cursor: not-allowed;
+  filter: alpha(opacity=65);
+  opacity: 0.65;
+  -webkit-box-shadow: none;
+  box-shadow: none;
+}
+a.btn.disabled,
+fieldset[disabled] a.btn {
+  pointer-events: none;
+}
+.btn-default {
+  color: #333;
+  background-color: #fff;
+  border-color: #ccc;
+}
+.btn-default:focus,
+.btn-default.focus {
+  color: #333;
+  background-color: #e6e6e6;
+  border-color: #8c8c8c;
+}
+.btn-default:hover {
+  color: #333;
+  background-color: #e6e6e6;
+  border-color: #adadad;
+}
+.btn-default:active,
+.btn-default.active,
+.open > .dropdown-toggle.btn-default {
+  color: #333;
+  background-color: #e6e6e6;
+  background-image: none;
+  border-color: #adadad;
+}
+.btn-default:active:hover,
+.btn-default.active:hover,
+.open > .dropdown-toggle.btn-default:hover,
+.btn-default:active:focus,
+.btn-default.active:focus,
+.open > .dropdown-toggle.btn-default:focus,
+.btn-default:active.focus,
+.btn-default.active.focus,
+.open > .dropdown-toggle.btn-default.focus {
+  color: #333;
+  background-color: #d4d4d4;
+  border-color: #8c8c8c;
+}
+.btn-default.disabled:hover,
+.btn-default[disabled]:hover,
+fieldset[disabled] .btn-default:hover,
+.btn-default.disabled:focus,
+.btn-default[disabled]:focus,
+fieldset[disabled] .btn-default:focus,
+.btn-default.disabled.focus,
+.btn-default[disabled].focus,
+fieldset[disabled] .btn-default.focus {
+  background-color: #fff;
+  border-color: #ccc;
+}
+.btn-default .badge {
+  color: #fff;
+  background-color: #333;
+}
+.btn-primary {
+  color: #fff;
+  background-color: #337ab7;
+  border-color: #2e6da4;
+}
+.btn-primary:focus,
+.btn-primary.focus {
+  color: #fff;
+  background-color: #286090;
+  border-color: #122b40;
+}
+.btn-primary:hover {
+  color: #fff;
+  background-color: #286090;
+  border-color: #204d74;
+}
+.btn-primary:active,
+.btn-primary.active,
+.open > .dropdown-toggle.btn-primary {
+  color: #fff;
+  background-color: #286090;
+  background-image: none;
+  border-color: #204d74;
+}
+.btn-primary:active:hover,
+.btn-primary.active:hover,
+.open > .dropdown-toggle.btn-primary:hover,
+.btn-primary:active:focus,
+.btn-primary.active:focus,
+.open > .dropdown-toggle.btn-primary:focus,
+.btn-primary:active.focus,
+.btn-primary.active.focus,
+.open > .dropdown-toggle.btn-primary.focus {
+  color: #fff;
+  background-color: #204d74;
+  border-color: #122b40;
+}
+.btn-primary.disabled:hover,
+.btn-primary[disabled]:hover,
+fieldset[disabled] .btn-primary:hover,
+.btn-primary.disabled:focus,
+.btn-primary[disabled]:focus,
+fieldset[disabled] .btn-primary:focus,
+.btn-primary.disabled.focus,
+.btn-primary[disabled].focus,
+fieldset[disabled] .btn-primary.focus {
+  background-color: #337ab7;
+  border-color: #2e6da4;
+}
+.btn-primary .badge {
+  color: #337ab7;
+  background-color: #fff;
+}
+.btn-success {
+  color: #fff;
+  background-color: #5cb85c;
+  border-color: #4cae4c;
+}
+.btn-success:focus,
+.btn-success.focus {
+  color: #fff;
+  background-color: #449d44;
+  border-color: #255625;
+}
+.btn-success:hover {
+  color: #fff;
+  background-color: #449d44;
+  border-color: #398439;
+}
+.btn-success:active,
+.btn-success.active,
+.open > .dropdown-toggle.btn-success {
+  color: #fff;
+  background-color: #449d44;
+  background-image: none;
+  border-color: #398439;
+}
+.btn-success:active:hover,
+.btn-success.active:hover,
+.open > .dropdown-toggle.btn-success:hover,
+.btn-success:active:focus,
+.btn-success.active:focus,
+.open > .dropdown-toggle.btn-success:focus,
+.btn-success:active.focus,
+.btn-success.active.focus,
+.open > .dropdown-toggle.btn-success.focus {
+  color: #fff;
+  background-color: #398439;
+  border-color: #255625;
+}
+.btn-success.disabled:hover,
+.btn-success[disabled]:hover,
+fieldset[disabled] .btn-success:hover,
+.btn-success.disabled:focus,
+.btn-success[disabled]:focus,
+fieldset[disabled] .btn-success:focus,
+.btn-success.disabled.focus,
+.btn-success[disabled].focus,
+fieldset[disabled] .btn-success.focus {
+  background-color: #5cb85c;
+  border-color: #4cae4c;
+}
+.btn-success .badge {
+  color: #5cb85c;
+  background-color: #fff;
+}
+.btn-info {
+  color: #fff;
+  background-color: #5bc0de;
+  border-color: #46b8da;
+}
+.btn-info:focus,
+.btn-info.focus {
+  color: #fff;
+  background-color: #31b0d5;
+  border-color: #1b6d85;
+}
+.btn-info:hover {
+  color: #fff;
+  background-color: #31b0d5;
+  border-color: #269abc;
+}
+.btn-info:active,
+.btn-info.active,
+.open > .dropdown-toggle.btn-info {
+  color: #fff;
+  background-color: #31b0d5;
+  background-image: none;
+  border-color: #269abc;
+}
+.btn-info:active:hover,
+.btn-info.active:hover,
+.open > .dropdown-toggle.btn-info:hover,
+.btn-info:active:focus,
+.btn-info.active:focus,
+.open > .dropdown-toggle.btn-info:focus,
+.btn-info:active.focus,
+.btn-info.active.focus,
+.open > .dropdown-toggle.btn-info.focus {
+  color: #fff;
+  background-color: #269abc;
+  border-color: #1b6d85;
+}
+.btn-info.disabled:hover,
+.btn-info[disabled]:hover,
+fieldset[disabled] .btn-info:hover,
+.btn-info.disabled:focus,
+.btn-info[disabled]:focus,
+fieldset[disabled] .btn-info:focus,
+.btn-info.disabled.focus,
+.btn-info[disabled].focus,
+fieldset[disabled] .btn-info.focus {
+  background-color: #5bc0de;
+  border-color: #46b8da;
+}
+.btn-info .badge {
+  color: #5bc0de;
+  background-color: #fff;
+}
+.btn-warning {
+  color: #fff;
+  background-color: #f0ad4e;
+  border-color: #eea236;
+}
+.btn-warning:focus,
+.btn-warning.focus {
+  color: #fff;
+  background-color: #ec971f;
+  border-color: #985f0d;
+}
+.btn-warning:hover {
+  color: #fff;
+  background-color: #ec971f;
+  border-color: #d58512;
+}
+.btn-warning:active,
+.btn-warning.active,
+.open > .dropdown-toggle.btn-warning {
+  color: #fff;
+  background-color: #ec971f;
+  background-image: none;
+  border-color: #d58512;
+}
+.btn-warning:active:hover,
+.btn-warning.active:hover,
+.open > .dropdown-toggle.btn-warning:hover,
+.btn-warning:active:focus,
+.btn-warning.active:focus,
+.open > .dropdown-toggle.btn-warning:focus,
+.btn-warning:active.focus,
+.btn-warning.active.focus,
+.open > .dropdown-toggle.btn-warning.focus {
+  color: #fff;
+  background-color: #d58512;
+  border-color: #985f0d;
+}
+.btn-warning.disabled:hover,
+.btn-warning[disabled]:hover,
+fieldset[disabled] .btn-warning:hover,
+.btn-warning.disabled:focus,
+.btn-warning[disabled]:focus,
+fieldset[disabled] .btn-warning:focus,
+.btn-warning.disabled.focus,
+.btn-warning[disabled].focus,
+fieldset[disabled] .btn-warning.focus {
+  background-color: #f0ad4e;
+  border-color: #eea236;
+}
+.btn-warning .badge {
+  color: #f0ad4e;
+  background-color: #fff;
+}
+.btn-danger {
+  color: #fff;
+  background-color: #d9534f;
+  border-color: #d43f3a;
+}
+.btn-danger:focus,
+.btn-danger.focus {
+  color: #fff;
+  background-color: #c9302c;
+  border-color: #761c19;
+}
+.btn-danger:hover {
+  color: #fff;
+  background-color: #c9302c;
+  border-color: #ac2925;
+}
+.btn-danger:active,
+.btn-danger.active,
+.open > .dropdown-toggle.btn-danger {
+  color: #fff;
+  background-color: #c9302c;
+  background-image: none;
+  border-color: #ac2925;
+}
+.btn-danger:active:hover,
+.btn-danger.active:hover,
+.open > .dropdown-toggle.btn-danger:hover,
+.btn-danger:active:focus,
+.btn-danger.active:focus,
+.open > .dropdown-toggle.btn-danger:focus,
+.btn-danger:active.focus,
+.btn-danger.active.focus,
+.open > .dropdown-toggle.btn-danger.focus {
+  color: #fff;
+  background-color: #ac2925;
+  border-color: #761c19;
+}
+.btn-danger.disabled:hover,
+.btn-danger[disabled]:hover,
+fieldset[disabled] .btn-danger:hover,
+.btn-danger.disabled:focus,
+.btn-danger[disabled]:focus,
+fieldset[disabled] .btn-danger:focus,
+.btn-danger.disabled.focus,
+.btn-danger[disabled].focus,
+fieldset[disabled] .btn-danger.focus {
+  background-color: #d9534f;
+  border-color: #d43f3a;
+}
+.btn-danger .badge {
+  color: #d9534f;
+  background-color: #fff;
+}
+.btn-link {
+  font-weight: 400;
+  color: #337ab7;
+  border-radius: 0;
+}
+.btn-link,
+.btn-link:active,
+.btn-link.active,
+.btn-link[disabled],
+fieldset[disabled] .btn-link {
+  background-color: transparent;
+  -webkit-box-shadow: none;
+  box-shadow: none;
+}
+.btn-link,
+.btn-link:hover,
+.btn-link:focus,
+.btn-link:active {
+  border-color: transparent;
+}
+.btn-link:hover,
+.btn-link:focus {
+  color: #23527c;
+  text-decoration: underline;
+  background-color: transparent;
+}
+.btn-link[disabled]:hover,
+fieldset[disabled] .btn-link:hover,
+.btn-link[disabled]:focus,
+fieldset[disabled] .btn-link:focus {
+  color: #777777;
+  text-decoration: none;
+}
+.btn-lg,
+.btn-group-lg > .btn {
+  padding: 10px 16px;
+  font-size: 18px;
+  line-height: 1.3333333;
+  border-radius: 6px;
+}
+.btn-sm,
+.btn-group-sm > .btn {
+  padding: 5px 10px;
+  font-size: 12px;
+  line-height: 1.5;
+  border-radius: 3px;
+}
+.btn-xs,
+.btn-group-xs > .btn {
+  padding: 1px 5px;
+  font-size: 12px;
+  line-height: 1.5;
+  border-radius: 3px;
+}
+.btn-block {
+  display: block;
+  width: 100%;
+}
+.btn-block + .btn-block {
+  margin-top: 5px;
+}
+input[type="submit"].btn-block,
+input[type="reset"].btn-block,
+input[type="button"].btn-block {
+  width: 100%;
+}
+.fade {
+  opacity: 0;
+  -webkit-transition: opacity 0.15s linear;
+  -o-transition: opacity 0.15s linear;
+  transition: opacity 0.15s linear;
+}
+.fade.in {
+  opacity: 1;
+}
+.collapse {
+  display: none;
+}
+.collapse.in {
+  display: block;
+}
+tr.collapse.in {
+  display: table-row;
+}
+tbody.collapse.in {
+  display: table-row-group;
+}
+.collapsing {
+  position: relative;
+  height: 0;
+  overflow: hidden;
+  -webkit-transition-property: height, visibility;
+  -o-transition-property: height, visibility;
+  transition-property: height, visibility;
+  -webkit-transition-duration: 0.35s;
+  -o-transition-duration: 0.35s;
+  transition-duration: 0.35s;
+  -webkit-transition-timing-function: ease;
+  -o-transition-timing-function: ease;
+  transition-timing-function: ease;
+}
+.caret {
+  display: inline-block;
+  width: 0;
+  height: 0;
+  margin-left: 2px;
+  vertical-align: middle;
+  border-top: 4px dashed;
+  border-top: 4px solid \9;
+  border-right: 4px solid transparent;
+  border-left: 4px solid transparent;
+}
+.dropup,
+.dropdown {
+  position: relative;
+}
+.dropdown-toggle:focus {
+  outline: 0;
+}
+.dropdown-menu {
+  position: absolute;
+  top: 100%;
+  left: 0;
+  z-index: 1000;
+  display: none;
+  float: left;
+  min-width: 160px;
+  padding: 5px 0;
+  margin: 2px 0 0;
+  font-size: 14px;
+  text-align: left;
+  list-style: none;
+  background-color: #fff;
+  background-clip: padding-box;
+  border: 1px solid #ccc;
+  border: 1px solid rgba(0, 0, 0, 0.15);
+  border-radius: 4px;
+  -webkit-box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
+  box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
+}
+.dropdown-menu.pull-right {
+  right: 0;
+  left: auto;
+}
+.dropdown-menu .divider {
+  height: 1px;
+  margin: 9px 0;
+  overflow: hidden;
+  background-color: #e5e5e5;
+}
+.dropdown-menu > li > a {
+  display: block;
+  padding: 3px 20px;
+  clear: both;
+  font-weight: 400;
+  line-height: 1.42857143;
+  color: #333333;
+  white-space: nowrap;
+}
+.dropdown-menu > li > a:hover,
+.dropdown-menu > li > a:focus {
+  color: #262626;
+  text-decoration: none;
+  background-color: #f5f5f5;
+}
+.dropdown-menu > .active > a,
+.dropdown-menu > .active > a:hover,
+.dropdown-menu > .active > a:focus {
+  color: #fff;
+  text-decoration: none;
+  background-color: #337ab7;
+  outline: 0;
+}
+.dropdown-menu > .disabled > a,
+.dropdown-menu > .disabled > a:hover,
+.dropdown-menu > .disabled > a:focus {
+  color: #777777;
+}
+.dropdown-menu > .disabled > a:hover,
+.dropdown-menu > .disabled > a:focus {
+  text-decoration: none;
+  cursor: not-allowed;
+  background-color: transparent;
+  background-image: none;
+  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);
+}
+.open > .dropdown-menu {
+  display: block;
+}
+.open > a {
+  outline: 0;
+}
+.dropdown-menu-right {
+  right: 0;
+  left: auto;
+}
+.dropdown-menu-left {
+  right: auto;
+  left: 0;
+}
+.dropdown-header {
+  display: block;
+  padding: 3px 20px;
+  font-size: 12px;
+  line-height: 1.42857143;
+  color: #777777;
+  white-space: nowrap;
+}
+.dropdown-backdrop {
+  position: fixed;
+  top: 0;
+  right: 0;
+  bottom: 0;
+  left: 0;
+  z-index: 990;
+}
+.pull-right > .dropdown-menu {
+  right: 0;
+  left: auto;
+}
+.dropup .caret,
+.navbar-fixed-bottom .dropdown .caret {
+  content: "";
+  border-top: 0;
+  border-bottom: 4px dashed;
+  border-bottom: 4px solid \9;
+}
+.dropup .dropdown-menu,
+.navbar-fixed-bottom .dropdown .dropdown-menu {
+  top: auto;
+  bottom: 100%;
+  margin-bottom: 2px;
+}
+@media (min-width: 768px) {
+  .navbar-right .dropdown-menu {
+    right: 0;
+    left: auto;
+  }
+  .navbar-right .dropdown-menu-left {
+    right: auto;
+    left: 0;
+  }
+}
+.btn-group,
+.btn-group-vertical {
+  position: relative;
+  display: inline-block;
+  vertical-align: middle;
+}
+.btn-group > .btn,
+.btn-group-vertical > .btn {
+  position: relative;
+  float: left;
+}
+.btn-group > .btn:hover,
+.btn-group-vertical > .btn:hover,
+.btn-group > .btn:focus,
+.btn-group-vertical > .btn:focus,
+.btn-group > .btn:active,
+.btn-group-vertical > .btn:active,
+.btn-group > .btn.active,
+.btn-group-vertical > .btn.active {
+  z-index: 2;
+}
+.btn-group .btn + .btn,
+.btn-group .btn + .btn-group,
+.btn-group .btn-group + .btn,
+.btn-group .btn-group + .btn-group {
+  margin-left: -1px;
+}
+.btn-toolbar {
+  margin-left: -5px;
+}
+.btn-toolbar .btn,
+.btn-toolbar .btn-group,
+.btn-toolbar .input-group {
+  float: left;
+}
+.btn-toolbar > .btn,
+.btn-toolbar > .btn-group,
+.btn-toolbar > .input-group {
+  margin-left: 5px;
+}
+.btn-group > .btn:not(:first-child):not(:last-child):not(.dropdown-toggle) {
+  border-radius: 0;
+}
+.btn-group > .btn:first-child {
+  margin-left: 0;
+}
+.btn-group > .btn:first-child:not(:last-child):not(.dropdown-toggle) {
+  border-top-right-radius: 0;
+  border-bottom-right-radius: 0;
+}
+.btn-group > .btn:last-child:not(:first-child),
+.btn-group > .dropdown-toggle:not(:first-child) {
+  border-top-left-radius: 0;
+  border-bottom-left-radius: 0;
+}
+.btn-group > .btn-group {
+  float: left;
+}
+.btn-group > .btn-group:not(:first-child):not(:last-child) > .btn {
+  border-radius: 0;
+}
+.btn-group > .btn-group:first-child:not(:last-child) > .btn:last-child,
+.btn-group > .btn-group:first-child:not(:last-child) > .dropdown-toggle {
+  border-top-right-radius: 0;
+  border-bottom-right-radius: 0;
+}
+.btn-group > .btn-group:last-child:not(:first-child) > .btn:first-child {
+  border-top-left-radius: 0;
+  border-bottom-left-radius: 0;
+}
+.btn-group .dropdown-toggle:active,
+.btn-group.open .dropdown-toggle {
+  outline: 0;
+}
+.btn-group > .btn + .dropdown-toggle {
+  padding-right: 8px;
+  padding-left: 8px;
+}
+.btn-group > .btn-lg + .dropdown-toggle {
+  padding-right: 12px;
+  padding-left: 12px;
+}
+.btn-group.open .dropdown-toggle {
+  -webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
+  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
+}
+.btn-group.open .dropdown-toggle.btn-link {
+  -webkit-box-shadow: none;
+  box-shadow: none;
+}
+.btn .caret {
+  margin-left: 0;
+}
+.btn-lg .caret {
+  border-width: 5px 5px 0;
+  border-bottom-width: 0;
+}
+.dropup .btn-lg .caret {
+  border-width: 0 5px 5px;
+}
+.btn-group-vertical > .btn,
+.btn-group-vertical > .btn-group,
+.btn-group-vertical > .btn-group > .btn {
+  display: block;
+  float: none;
+  width: 100%;
+  max-width: 100%;
+}
+.btn-group-vertical > .btn-group > .btn {
+  float: none;
+}
+.btn-group-vertical > .btn + .btn,
+.btn-group-vertical > .btn + .btn-group,
+.btn-group-vertical > .btn-group + .btn,
+.btn-group-vertical > .btn-group + .btn-group {
+  margin-top: -1px;
+  margin-left: 0;
+}
+.btn-group-vertical > .btn:not(:first-child):not(:last-child) {
+  border-radius: 0;
+}
+.btn-group-vertical > .btn:first-child:not(:last-child) {
+  border-top-left-radius: 4px;
+  border-top-right-radius: 4px;
+  border-bottom-right-radius: 0;
+  border-bottom-left-radius: 0;
+}
+.btn-group-vertical > .btn:last-child:not(:first-child) {
+  border-top-left-radius: 0;
+  border-top-right-radius: 0;
+  border-bottom-right-radius: 4px;
+  border-bottom-left-radius: 4px;
+}
+.btn-group-vertical > .btn-group:not(:first-child):not(:last-child) > .btn {
+  border-radius: 0;
+}
+.btn-group-vertical > .btn-group:first-child:not(:last-child) > .btn:last-child,
+.btn-group-vertical > .btn-group:first-child:not(:last-child) > .dropdown-toggle {
+  border-bottom-right-radius: 0;
+  border-bottom-left-radius: 0;
+}
+.btn-group-vertical > .btn-group:last-child:not(:first-child) > .btn:first-child {
+  border-top-left-radius: 0;
+  border-top-right-radius: 0;
+}
+.btn-group-justified {
+  display: table;
+  width: 100%;
+  table-layout: fixed;
+  border-collapse: separate;
+}
+.btn-group-justified > .btn,
+.btn-group-justified > .btn-group {
+  display: table-cell;
+  float: none;
+  width: 1%;
+}
+.btn-group-justified > .btn-group .btn {
+  width: 100%;
+}
+.btn-group-justified > .btn-group .dropdown-menu {
+  left: auto;
+}
+[data-toggle="buttons"] > .btn input[type="radio"],
+[data-toggle="buttons"] > .btn-group > .btn input[type="radio"],
+[data-toggle="buttons"] > .btn input[type="checkbox"],
+[data-toggle="buttons"] > .btn-group > .btn input[type="checkbox"] {
+  position: absolute;
+  clip: rect(0, 0, 0, 0);
+  pointer-events: none;
+}
+.input-group {
+  position: relative;
+  display: table;
+  border-collapse: separate;
+}
+.input-group[class*="col-"] {
+  float: none;
+  padding-right: 0;
+  padding-left: 0;
+}
+.input-group .form-control {
+  position: relative;
+  z-index: 2;
+  float: left;
+  width: 100%;
+  margin-bottom: 0;
+}
+.input-group .form-control:focus {
+  z-index: 3;
+}
+.input-group-lg > .form-control,
+.input-group-lg > .input-group-addon,
+.input-group-lg > .input-group-btn > .btn {
+  height: 46px;
+  padding: 10px 16px;
+  font-size: 18px;
+  line-height: 1.3333333;
+  border-radius: 6px;
+}
+select.input-group-lg > .form-control,
+select.input-group-lg > .input-group-addon,
+select.input-group-lg > .input-group-btn > .btn {
+  height: 46px;
+  line-height: 46px;
+}
+textarea.input-group-lg > .form-control,
+textarea.input-group-lg > .input-group-addon,
+textarea.input-group-lg > .input-group-btn > .btn,
+select[multiple].input-group-lg > .form-control,
+select[multiple].input-group-lg > .input-group-addon,
+select[multiple].input-group-lg > .input-group-btn > .btn {
+  height: auto;
+}
+.input-group-sm > .form-control,
+.input-group-sm > .input-group-addon,
+.input-group-sm > .input-group-btn > .btn {
+  height: 30px;
+  padding: 5px 10px;
+  font-size: 12px;
+  line-height: 1.5;
+  border-radius: 3px;
+}
+select.input-group-sm > .form-control,
+select.input-group-sm > .input-group-addon,
+select.input-group-sm > .input-group-btn > .btn {
+  height: 30px;
+  line-height: 30px;
+}
+textarea.input-group-sm > .form-control,
+textarea.input-group-sm > .input-group-addon,
+textarea.input-group-sm > .input-group-btn > .btn,
+select[multiple].input-group-sm > .form-control,
+select[multiple].input-group-sm > .input-group-addon,
+select[multiple].input-group-sm > .input-group-btn > .btn {
+  height: auto;
+}
+.input-group-addon,
+.input-group-btn,
+.input-group .form-control {
+  display: table-cell;
+}
+.input-group-addon:not(:first-child):not(:last-child),
+.input-group-btn:not(:first-child):not(:last-child),
+.input-group .form-control:not(:first-child):not(:last-child) {
+  border-radius: 0;
+}
+.input-group-addon,
+.input-group-btn {
+  width: 1%;
+  white-space: nowrap;
+  vertical-align: middle;
+}
+.input-group-addon {
+  padding: 6px 12px;
+  font-size: 14px;
+  font-weight: 400;
+  line-height: 1;
+  color: #555555;
+  text-align: center;
+  background-color: #eeeeee;
+  border: 1px solid #ccc;
+  border-radius: 4px;
+}
+.input-group-addon.input-sm {
+  padding: 5px 10px;
+  font-size: 12px;
+  border-radius: 3px;
+}
+.input-group-addon.input-lg {
+  padding: 10px 16px;
+  font-size: 18px;
+  border-radius: 6px;
+}
+.input-group-addon input[type="radio"],
+.input-group-addon input[type="checkbox"] {
+  margin-top: 0;
+}
+.input-group .form-control:first-child,
+.input-group-addon:first-child,
+.input-group-btn:first-child > .btn,
+.input-group-btn:first-child > .btn-group > .btn,
+.input-group-btn:first-child > .dropdown-toggle,
+.input-group-btn:last-child > .btn:not(:last-child):not(.dropdown-toggle),
+.input-group-btn:last-child > .btn-group:not(:last-child) > .btn {
+  border-top-right-radius: 0;
+  border-bottom-right-radius: 0;
+}
+.input-group-addon:first-child {
+  border-right: 0;
+}
+.input-group .form-control:last-child,
+.input-group-addon:last-child,
+.input-group-btn:last-child > .btn,
+.input-group-btn:last-child > .btn-group > .btn,
+.input-group-btn:last-child > .dropdown-toggle,
+.input-group-btn:first-child > .btn:not(:first-child),
+.input-group-btn:first-child > .btn-group:not(:first-child) > .btn {
+  border-top-left-radius: 0;
+  border-bottom-left-radius: 0;
+}
+.input-group-addon:last-child {
+  border-left: 0;
+}
+.input-group-btn {
+  position: relative;
+  font-size: 0;
+  white-space: nowrap;
+}
+.input-group-btn > .btn {
+  position: relative;
+}
+.input-group-btn > .btn + .btn {
+  margin-left: -1px;
+}
+.input-group-btn > .btn:hover,
+.input-group-btn > .btn:focus,
+.input-group-btn > .btn:active {
+  z-index: 2;
+}
+.input-group-btn:first-child > .btn,
+.input-group-btn:first-child > .btn-group {
+  margin-right: -1px;
+}
+.input-group-btn:last-child > .btn,
+.input-group-btn:last-child > .btn-group {
+  z-index: 2;
+  margin-left: -1px;
+}
+.nav {
+  padding-left: 0;
+  margin-bottom: 0;
+  list-style: none;
+}
+.nav > li {
+  position: relative;
+  display: block;
+}
+.nav > li > a {
+  position: relative;
+  display: block;
+  padding: 10px 15px;
+}
+.nav > li > a:hover,
+.nav > li > a:focus {
+  text-decoration: none;
+  background-color: #eeeeee;
+}
+.nav > li.disabled > a {
+  color: #777777;
+}
+.nav > li.disabled > a:hover,
+.nav > li.disabled > a:focus {
+  color: #777777;
+  text-decoration: none;
+  cursor: not-allowed;
+  background-color: transparent;
+}
+.nav .open > a,
+.nav .open > a:hover,
+.nav .open > a:focus {
+  background-color: #eeeeee;
+  border-color: #337ab7;
+}
+.nav .nav-divider {
+  height: 1px;
+  margin: 9px 0;
+  overflow: hidden;
+  background-color: #e5e5e5;
+}
+.nav > li > a > img {
+  max-width: none;
+}
+.nav-tabs {
+  border-bottom: 1px solid #ddd;
+}
+.nav-tabs > li {
+  float: left;
+  margin-bottom: -1px;
+}
+.nav-tabs > li > a {
+  margin-right: 2px;
+  line-height: 1.42857143;
+  border: 1px solid transparent;
+  border-radius: 4px 4px 0 0;
+}
+.nav-tabs > li > a:hover {
+  border-color: #eeeeee #eeeeee #ddd;
+}
+.nav-tabs > li.active > a,
+.nav-tabs > li.active > a:hover,
+.nav-tabs > li.active > a:focus {
+  color: #555555;
+  cursor: default;
+  background-color: #fff;
+  border: 1px solid #ddd;
+  border-bottom-color: transparent;
+}
+.nav-tabs.nav-justified {
+  width: 100%;
+  border-bottom: 0;
+}
+.nav-tabs.nav-justified > li {
+  float: none;
+}
+.nav-tabs.nav-justified > li > a {
+  margin-bottom: 5px;
+  text-align: center;
+}
+.nav-tabs.nav-justified > .dropdown .dropdown-menu {
+  top: auto;
+  left: auto;
+}
+@media (min-width: 768px) {
+  .nav-tabs.nav-justified > li {
+    display: table-cell;
+    width: 1%;
+  }
+  .nav-tabs.nav-justified > li > a {
+    margin-bottom: 0;
+  }
+}
+.nav-tabs.nav-justified > li > a {
+  margin-right: 0;
+  border-radius: 4px;
+}
+.nav-tabs.nav-justified > .active > a,
+.nav-tabs.nav-justified > .active > a:hover,
+.nav-tabs.nav-justified > .active > a:focus {
+  border: 1px solid #ddd;
+}
+@media (min-width: 768px) {
+  .nav-tabs.nav-justified > li > a {
+    border-bottom: 1px solid #ddd;
+    border-radius: 4px 4px 0 0;
+  }
+  .nav-tabs.nav-justified > .active > a,
+  .nav-tabs.nav-justified > .active > a:hover,
+  .nav-tabs.nav-justified > .active > a:focus {
+    border-bottom-color: #fff;
+  }
+}
+.nav-pills > li {
+  float: left;
+}
+.nav-pills > li > a {
+  border-radius: 4px;
+}
+.nav-pills > li + li {
+  margin-left: 2px;
+}
+.nav-pills > li.active > a,
+.nav-pills > li.active > a:hover,
+.nav-pills > li.active > a:focus {
+  color: #fff;
+  background-color: #337ab7;
+}
+.nav-stacked > li {
+  float: none;
+}
+.nav-stacked > li + li {
+  margin-top: 2px;
+  margin-left: 0;
+}
+.nav-justified {
+  width: 100%;
+}
+.nav-justified > li {
+  float: none;
+}
+.nav-justified > li > a {
+  margin-bottom: 5px;
+  text-align: center;
+}
+.nav-justified > .dropdown .dropdown-menu {
+  top: auto;
+  left: auto;
+}
+@media (min-width: 768px) {
+  .nav-justified > li {
+    display: table-cell;
+    width: 1%;
+  }
+  .nav-justified > li > a {
+    margin-bottom: 0;
+  }
+}
+.nav-tabs-justified {
+  border-bottom: 0;
+}
+.nav-tabs-justified > li > a {
+  margin-right: 0;
+  border-radius: 4px;
+}
+.nav-tabs-justified > .active > a,
+.nav-tabs-justified > .active > a:hover,
+.nav-tabs-justified > .active > a:focus {
+  border: 1px solid #ddd;
+}
+@media (min-width: 768px) {
+  .nav-tabs-justified > li > a {
+    border-bottom: 1px solid #ddd;
+    border-radius: 4px 4px 0 0;
+  }
+  .nav-tabs-justified > .active > a,
+  .nav-tabs-justified > .active > a:hover,
+  .nav-tabs-justified > .active > a:focus {
+    border-bottom-color: #fff;
+  }
+}
+.tab-content > .tab-pane {
+  display: none;
+}
+.tab-content > .active {
+  display: block;
+}
+.nav-tabs .dropdown-menu {
+  margin-top: -1px;
+  border-top-left-radius: 0;
+  border-top-right-radius: 0;
+}
+.navbar {
+  position: relative;
+  min-height: 50px;
+  margin-bottom: 20px;
+  border: 1px solid transparent;
+}
+@media (min-width: 768px) {
+  .navbar {
+    border-radius: 4px;
+  }
+}
+@media (min-width: 768px) {
+  .navbar-header {
+    float: left;
+  }
+}
+.navbar-collapse {
+  padding-right: 15px;
+  padding-left: 15px;
+  overflow-x: visible;
+  border-top: 1px solid transparent;
+  -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1);
+  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1);
+  -webkit-overflow-scrolling: touch;
+}
+.navbar-collapse.in {
+  overflow-y: auto;
+}
+@media (min-width: 768px) {
+  .navbar-collapse {
+    width: auto;
+    border-top: 0;
+    -webkit-box-shadow: none;
+    box-shadow: none;
+  }
+  .navbar-collapse.collapse {
+    display: block !important;
+    height: auto !important;
+    padding-bottom: 0;
+    overflow: visible !important;
+  }
+  .navbar-collapse.in {
+    overflow-y: visible;
+  }
+  .navbar-fixed-top .navbar-collapse,
+  .navbar-static-top .navbar-collapse,
+  .navbar-fixed-bottom .navbar-collapse {
+    padding-right: 0;
+    padding-left: 0;
+  }
+}
+.navbar-fixed-top,
+.navbar-fixed-bottom {
+  position: fixed;
+  right: 0;
+  left: 0;
+  z-index: 1030;
+}
+.navbar-fixed-top .navbar-collapse,
+.navbar-fixed-bottom .navbar-collapse {
+  max-height: 340px;
+}
+@media (max-device-width: 480px) and (orientation: landscape) {
+  .navbar-fixed-top .navbar-collapse,
+  .navbar-fixed-bottom .navbar-collapse {
+    max-height: 200px;
+  }
+}
+@media (min-width: 768px) {
+  .navbar-fixed-top,
+  .navbar-fixed-bottom {
+    border-radius: 0;
+  }
+}
+.navbar-fixed-top {
+  top: 0;
+  border-width: 0 0 1px;
+}
+.navbar-fixed-bottom {
+  bottom: 0;
+  margin-bottom: 0;
+  border-width: 1px 0 0;
+}
+.container > .navbar-header,
+.container-fluid > .navbar-header,
+.container > .navbar-collapse,
+.container-fluid > .navbar-collapse {
+  margin-right: -15px;
+  margin-left: -15px;
+}
+@media (min-width: 768px) {
+  .container > .navbar-header,
+  .container-fluid > .navbar-header,
+  .container > .navbar-collapse,
+  .container-fluid > .navbar-collapse {
+    margin-right: 0;
+    margin-left: 0;
+  }
+}
+.navbar-static-top {
+  z-index: 1000;
+  border-width: 0 0 1px;
+}
+@media (min-width: 768px) {
+  .navbar-static-top {
+    border-radius: 0;
+  }
+}
+.navbar-brand {
+  float: left;
+  height: 50px;
+  padding: 15px 15px;
+  font-size: 18px;
+  line-height: 20px;
+}
+.navbar-brand:hover,
+.navbar-brand:focus {
+  text-decoration: none;
+}
+.navbar-brand > img {
+  display: block;
+}
+@media (min-width: 768px) {
+  .navbar > .container .navbar-brand,
+  .navbar > .container-fluid .navbar-brand {
+    margin-left: -15px;
+  }
+}
+.navbar-toggle {
+  position: relative;
+  float: right;
+  padding: 9px 10px;
+  margin-right: 15px;
+  margin-top: 8px;
+  margin-bottom: 8px;
+  background-color: transparent;
+  background-image: none;
+  border: 1px solid transparent;
+  border-radius: 4px;
+}
+.navbar-toggle:focus {
+  outline: 0;
+}
+.navbar-toggle .icon-bar {
+  display: block;
+  width: 22px;
+  height: 2px;
+  border-radius: 1px;
+}
+.navbar-toggle .icon-bar + .icon-bar {
+  margin-top: 4px;
+}
+@media (min-width: 768px) {
+  .navbar-toggle {
+    display: none;
+  }
+}
+.navbar-nav {
+  margin: 7.5px -15px;
+}
+.navbar-nav > li > a {
+  padding-top: 10px;
+  padding-bottom: 10px;
+  line-height: 20px;
+}
+@media (max-width: 767px) {
+  .navbar-nav .open .dropdown-menu {
+    position: static;
+    float: none;
+    width: auto;
+    margin-top: 0;
+    background-color: transparent;
+    border: 0;
+    -webkit-box-shadow: none;
+    box-shadow: none;
+  }
+  .navbar-nav .open .dropdown-menu > li > a,
+  .navbar-nav .open .dropdown-menu .dropdown-header {
+    padding: 5px 15px 5px 25px;
+  }
+  .navbar-nav .open .dropdown-menu > li > a {
+    line-height: 20px;
+  }
+  .navbar-nav .open .dropdown-menu > li > a:hover,
+  .navbar-nav .open .dropdown-menu > li > a:focus {
+    background-image: none;
+  }
+}
+@media (min-width: 768px) {
+  .navbar-nav {
+    float: left;
+    margin: 0;
+  }
+  .navbar-nav > li {
+    float: left;
+  }
+  .navbar-nav > li > a {
+    padding-top: 15px;
+    padding-bottom: 15px;
+  }
+}
+.navbar-form {
+  padding: 10px 15px;
+  margin-right: -15px;
+  margin-left: -15px;
+  border-top: 1px solid transparent;
+  border-bottom: 1px solid transparent;
+  -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
+  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
+  margin-top: 8px;
+  margin-bottom: 8px;
+}
+@media (min-width: 768px) {
+  .navbar-form .form-group {
+    display: inline-block;
+    margin-bottom: 0;
+    vertical-align: middle;
+  }
+  .navbar-form .form-control {
+    display: inline-block;
+    width: auto;
+    vertical-align: middle;
+  }
+  .navbar-form .form-control-static {
+    display: inline-block;
+  }
+  .navbar-form .input-group {
+    display: inline-table;
+    vertical-align: middle;
+  }
+  .navbar-form .input-group .input-group-addon,
+  .navbar-form .input-group .input-group-btn,
+  .navbar-form .input-group .form-control {
+    width: auto;
+  }
+  .navbar-form .input-group > .form-control {
+    width: 100%;
+  }
+  .navbar-form .control-label {
+    margin-bottom: 0;
+    vertical-align: middle;
+  }
+  .navbar-form .radio,
+  .navbar-form .checkbox {
+    display: inline-block;
+    margin-top: 0;
+    margin-bottom: 0;
+    vertical-align: middle;
+  }
+  .navbar-form .radio label,
+  .navbar-form .checkbox label {
+    padding-left: 0;
+  }
+  .navbar-form .radio input[type="radio"],
+  .navbar-form .checkbox input[type="checkbox"] {
+    position: relative;
+    margin-left: 0;
+  }
+  .navbar-form .has-feedback .form-control-feedback {
+    top: 0;
+  }
+}
+@media (max-width: 767px) {
+  .navbar-form .form-group {
+    margin-bottom: 5px;
+  }
+  .navbar-form .form-group:last-child {
+    margin-bottom: 0;
+  }
+}
+@media (min-width: 768px) {
+  .navbar-form {
+    width: auto;
+    padding-top: 0;
+    padding-bottom: 0;
+    margin-right: 0;
+    margin-left: 0;
+    border: 0;
+    -webkit-box-shadow: none;
+    box-shadow: none;
+  }
+}
+.navbar-nav > li > .dropdown-menu {
+  margin-top: 0;
+  border-top-left-radius: 0;
+  border-top-right-radius: 0;
+}
+.navbar-fixed-bottom .navbar-nav > li > .dropdown-menu {
+  margin-bottom: 0;
+  border-top-left-radius: 4px;
+  border-top-right-radius: 4px;
+  border-bottom-right-radius: 0;
+  border-bottom-left-radius: 0;
+}
+.navbar-btn {
+  margin-top: 8px;
+  margin-bottom: 8px;
+}
+.navbar-btn.btn-sm {
+  margin-top: 10px;
+  margin-bottom: 10px;
+}
+.navbar-btn.btn-xs {
+  margin-top: 14px;
+  margin-bottom: 14px;
+}
+.navbar-text {
+  margin-top: 15px;
+  margin-bottom: 15px;
+}
+@media (min-width: 768px) {
+  .navbar-text {
+    float: left;
+    margin-right: 15px;
+    margin-left: 15px;
+  }
+}
+@media (min-width: 768px) {
+  .navbar-left {
+    float: left !important;
+  }
+  .navbar-right {
+    float: right !important;
+    margin-right: -15px;
+  }
+  .navbar-right ~ .navbar-right {
+    margin-right: 0;
+  }
+}
+.navbar-default {
+  background-color: #f8f8f8;
+  border-color: #e7e7e7;
+}
+.navbar-default .navbar-brand {
+  color: #777;
+}
+.navbar-default .navbar-brand:hover,
+.navbar-default .navbar-brand:focus {
+  color: #5e5e5e;
+  background-color: transparent;
+}
+.navbar-default .navbar-text {
+  color: #777;
+}
+.navbar-default .navbar-nav > li > a {
+  color: #777;
+}
+.navbar-default .navbar-nav > li > a:hover,
+.navbar-default .navbar-nav > li > a:focus {
+  color: #333;
+  background-color: transparent;
+}
+.navbar-default .navbar-nav > .active > a,
+.navbar-default .navbar-nav > .active > a:hover,
+.navbar-default .navbar-nav > .active > a:focus {
+  color: #555;
+  background-color: #e7e7e7;
+}
+.navbar-default .navbar-nav > .disabled > a,
+.navbar-default .navbar-nav > .disabled > a:hover,
+.navbar-default .navbar-nav > .disabled > a:focus {
+  color: #ccc;
+  background-color: transparent;
+}
+.navbar-default .navbar-nav > .open > a,
+.navbar-default .navbar-nav > .open > a:hover,
+.navbar-default .navbar-nav > .open > a:focus {
+  color: #555;
+  background-color: #e7e7e7;
+}
+@media (max-width: 767px) {
+  .navbar-default .navbar-nav .open .dropdown-menu > li > a {
+    color: #777;
+  }
+  .navbar-default .navbar-nav .open .dropdown-menu > li > a:hover,
+  .navbar-default .navbar-nav .open .dropdown-menu > li > a:focus {
+    color: #333;
+    background-color: transparent;
+  }
+  .navbar-default .navbar-nav .open .dropdown-menu > .active > a,
+  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:hover,
+  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:focus {
+    color: #555;
+    background-color: #e7e7e7;
+  }
+  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a,
+  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:hover,
+  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:focus {
+    color: #ccc;
+    background-color: transparent;
+  }
+}
+.navbar-default .navbar-toggle {
+  border-color: #ddd;
+}
+.navbar-default .navbar-toggle:hover,
+.navbar-default .navbar-toggle:focus {
+  background-color: #ddd;
+}
+.navbar-default .navbar-toggle .icon-bar {
+  background-color: #888;
+}
+.navbar-default .navbar-collapse,
+.navbar-default .navbar-form {
+  border-color: #e7e7e7;
+}
+.navbar-default .navbar-link {
+  color: #777;
+}
+.navbar-default .navbar-link:hover {
+  color: #333;
+}
+.navbar-default .btn-link {
+  color: #777;
+}
+.navbar-default .btn-link:hover,
+.navbar-default .btn-link:focus {
+  color: #333;
+}
+.navbar-default .btn-link[disabled]:hover,
+fieldset[disabled] .navbar-default .btn-link:hover,
+.navbar-default .btn-link[disabled]:focus,
+fieldset[disabled] .navbar-default .btn-link:focus {
+  color: #ccc;
+}
+.navbar-inverse {
+  background-color: #222;
+  border-color: #080808;
+}
+.navbar-inverse .navbar-brand {
+  color: #9d9d9d;
+}
+.navbar-inverse .navbar-brand:hover,
+.navbar-inverse .navbar-brand:focus {
+  color: #fff;
+  background-color: transparent;
+}
+.navbar-inverse .navbar-text {
+  color: #9d9d9d;
+}
+.navbar-inverse .navbar-nav > li > a {
+  color: #9d9d9d;
+}
+.navbar-inverse .navbar-nav > li > a:hover,
+.navbar-inverse .navbar-nav > li > a:focus {
+  color: #fff;
+  background-color: transparent;
+}
+.navbar-inverse .navbar-nav > .active > a,
+.navbar-inverse .navbar-nav > .active > a:hover,
+.navbar-inverse .navbar-nav > .active > a:focus {
+  color: #fff;
+  background-color: #080808;
+}
+.navbar-inverse .navbar-nav > .disabled > a,
+.navbar-inverse .navbar-nav > .disabled > a:hover,
+.navbar-inverse .navbar-nav > .disabled > a:focus {
+  color: #444;
+  background-color: transparent;
+}
+.navbar-inverse .navbar-nav > .open > a,
+.navbar-inverse .navbar-nav > .open > a:hover,
+.navbar-inverse .navbar-nav > .open > a:focus {
+  color: #fff;
+  background-color: #080808;
+}
+@media (max-width: 767px) {
+  .navbar-inverse .navbar-nav .open .dropdown-menu > .dropdown-header {
+    border-color: #080808;
+  }
+  .navbar-inverse .navbar-nav .open .dropdown-menu .divider {
+    background-color: #080808;
+  }
+  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a {
+    color: #9d9d9d;
+  }
+  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a:hover,
+  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a:focus {
+    color: #fff;
+    background-color: transparent;
+  }
+  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a,
+  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a:hover,
+  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a:focus {
+    color: #fff;
+    background-color: #080808;
+  }
+  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a,
+  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a:hover,
+  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a:focus {
+    color: #444;
+    background-color: transparent;
+  }
+}
+.navbar-inverse .navbar-toggle {
+  border-color: #333;
+}
+.navbar-inverse .navbar-toggle:hover,
+.navbar-inverse .navbar-toggle:focus {
+  background-color: #333;
+}
+.navbar-inverse .navbar-toggle .icon-bar {
+  background-color: #fff;
+}
+.navbar-inverse .navbar-collapse,
+.navbar-inverse .navbar-form {
+  border-color: #101010;
+}
+.navbar-inverse .navbar-link {
+  color: #9d9d9d;
+}
+.navbar-inverse .navbar-link:hover {
+  color: #fff;
+}
+.navbar-inverse .btn-link {
+  color: #9d9d9d;
+}
+.navbar-inverse .btn-link:hover,
+.navbar-inverse .btn-link:focus {
+  color: #fff;
+}
+.navbar-inverse .btn-link[disabled]:hover,
+fieldset[disabled] .navbar-inverse .btn-link:hover,
+.navbar-inverse .btn-link[disabled]:focus,
+fieldset[disabled] .navbar-inverse .btn-link:focus {
+  color: #444;
+}
+.breadcrumb {
+  padding: 8px 15px;
+  margin-bottom: 20px;
+  list-style: none;
+  background-color: #f5f5f5;
+  border-radius: 4px;
+}
+.breadcrumb > li {
+  display: inline-block;
+}
+.breadcrumb > li + li:before {
+  padding: 0 5px;
+  color: #ccc;
+  content: "/\00a0";
+}
+.breadcrumb > .active {
+  color: #777777;
+}
+.pagination {
+  display: inline-block;
+  padding-left: 0;
+  margin: 20px 0;
+  border-radius: 4px;
+}
+.pagination > li {
+  display: inline;
+}
+.pagination > li > a,
+.pagination > li > span {
+  position: relative;
+  float: left;
+  padding: 6px 12px;
+  margin-left: -1px;
+  line-height: 1.42857143;
+  color: #337ab7;
+  text-decoration: none;
+  background-color: #fff;
+  border: 1px solid #ddd;
+}
+.pagination > li > a:hover,
+.pagination > li > span:hover,
+.pagination > li > a:focus,
+.pagination > li > span:focus {
+  z-index: 2;
+  color: #23527c;
+  background-color: #eeeeee;
+  border-color: #ddd;
+}
+.pagination > li:first-child > a,
+.pagination > li:first-child > span {
+  margin-left: 0;
+  border-top-left-radius: 4px;
+  border-bottom-left-radius: 4px;
+}
+.pagination > li:last-child > a,
+.pagination > li:last-child > span {
+  border-top-right-radius: 4px;
+  border-bottom-right-radius: 4px;
+}
+.pagination > .active > a,
+.pagination > .active > span,
+.pagination > .active > a:hover,
+.pagination > .active > span:hover,
+.pagination > .active > a:focus,
+.pagination > .active > span:focus {
+  z-index: 3;
+  color: #fff;
+  cursor: default;
+  background-color: #337ab7;
+  border-color: #337ab7;
+}
+.pagination > .disabled > span,
+.pagination > .disabled > span:hover,
+.pagination > .disabled > span:focus,
+.pagination > .disabled > a,
+.pagination > .disabled > a:hover,
+.pagination > .disabled > a:focus {
+  color: #777777;
+  cursor: not-allowed;
+  background-color: #fff;
+  border-color: #ddd;
+}
+.pagination-lg > li > a,
+.pagination-lg > li > span {
+  padding: 10px 16px;
+  font-size: 18px;
+  line-height: 1.3333333;
+}
+.pagination-lg > li:first-child > a,
+.pagination-lg > li:first-child > span {
+  border-top-left-radius: 6px;
+  border-bottom-left-radius: 6px;
+}
+.pagination-lg > li:last-child > a,
+.pagination-lg > li:last-child > span {
+  border-top-right-radius: 6px;
+  border-bottom-right-radius: 6px;
+}
+.pagination-sm > li > a,
+.pagination-sm > li > span {
+  padding: 5px 10px;
+  font-size: 12px;
+  line-height: 1.5;
+}
+.pagination-sm > li:first-child > a,
+.pagination-sm > li:first-child > span {
+  border-top-left-radius: 3px;
+  border-bottom-left-radius: 3px;
+}
+.pagination-sm > li:last-child > a,
+.pagination-sm > li:last-child > span {
+  border-top-right-radius: 3px;
+  border-bottom-right-radius: 3px;
+}
+.pager {
+  padding-left: 0;
+  margin: 20px 0;
+  text-align: center;
+  list-style: none;
+}
+.pager li {
+  display: inline;
+}
+.pager li > a,
+.pager li > span {
+  display: inline-block;
+  padding: 5px 14px;
+  background-color: #fff;
+  border: 1px solid #ddd;
+  border-radius: 15px;
+}
+.pager li > a:hover,
+.pager li > a:focus {
+  text-decoration: none;
+  background-color: #eeeeee;
+}
+.pager .next > a,
+.pager .next > span {
+  float: right;
+}
+.pager .previous > a,
+.pager .previous > span {
+  float: left;
+}
+.pager .disabled > a,
+.pager .disabled > a:hover,
+.pager .disabled > a:focus,
+.pager .disabled > span {
+  color: #777777;
+  cursor: not-allowed;
+  background-color: #fff;
+}
+.label {
+  display: inline;
+  padding: 0.2em 0.6em 0.3em;
+  font-size: 75%;
+  font-weight: 700;
+  line-height: 1;
+  color: #fff;
+  text-align: center;
+  white-space: nowrap;
+  vertical-align: baseline;
+  border-radius: 0.25em;
+}
+a.label:hover,
+a.label:focus {
+  color: #fff;
+  text-decoration: none;
+  cursor: pointer;
+}
+.label:empty {
+  display: none;
+}
+.btn .label {
+  position: relative;
+  top: -1px;
+}
+.label-default {
+  background-color: #777777;
+}
+.label-default[href]:hover,
+.label-default[href]:focus {
+  background-color: #5e5e5e;
+}
+.label-primary {
+  background-color: #337ab7;
+}
+.label-primary[href]:hover,
+.label-primary[href]:focus {
+  background-color: #286090;
+}
+.label-success {
+  background-color: #5cb85c;
+}
+.label-success[href]:hover,
+.label-success[href]:focus {
+  background-color: #449d44;
+}
+.label-info {
+  background-color: #5bc0de;
+}
+.label-info[href]:hover,
+.label-info[href]:focus {
+  background-color: #31b0d5;
+}
+.label-warning {
+  background-color: #f0ad4e;
+}
+.label-warning[href]:hover,
+.label-warning[href]:focus {
+  background-color: #ec971f;
+}
+.label-danger {
+  background-color: #d9534f;
+}
+.label-danger[href]:hover,
+.label-danger[href]:focus {
+  background-color: #c9302c;
+}
+.badge {
+  display: inline-block;
+  min-width: 10px;
+  padding: 3px 7px;
+  font-size: 12px;
+  font-weight: bold;
+  line-height: 1;
+  color: #fff;
+  text-align: center;
+  white-space: nowrap;
+  vertical-align: middle;
+  background-color: #777777;
+  border-radius: 10px;
+}
+.badge:empty {
+  display: none;
+}
+.btn .badge {
+  position: relative;
+  top: -1px;
+}
+.btn-xs .badge,
+.btn-group-xs > .btn .badge {
+  top: 0;
+  padding: 1px 5px;
+}
+a.badge:hover,
+a.badge:focus {
+  color: #fff;
+  text-decoration: none;
+  cursor: pointer;
+}
+.list-group-item.active > .badge,
+.nav-pills > .active > a > .badge {
+  color: #337ab7;
+  background-color: #fff;
+}
+.list-group-item > .badge {
+  float: right;
+}
+.list-group-item > .badge + .badge {
+  margin-right: 5px;
+}
+.nav-pills > li > a > .badge {
+  margin-left: 3px;
+}
+.jumbotron {
+  padding-top: 30px;
+  padding-bottom: 30px;
+  margin-bottom: 30px;
+  color: inherit;
+  background-color: #eeeeee;
+}
+.jumbotron h1,
+.jumbotron .h1 {
+  color: inherit;
+}
+.jumbotron p {
+  margin-bottom: 15px;
+  font-size: 21px;
+  font-weight: 200;
+}
+.jumbotron > hr {
+  border-top-color: #d5d5d5;
+}
+.container .jumbotron,
+.container-fluid .jumbotron {
+  padding-right: 15px;
+  padding-left: 15px;
+  border-radius: 6px;
+}
+.jumbotron .container {
+  max-width: 100%;
+}
+@media screen and (min-width: 768px) {
+  .jumbotron {
+    padding-top: 48px;
+    padding-bottom: 48px;
+  }
+  .container .jumbotron,
+  .container-fluid .jumbotron {
+    padding-right: 60px;
+    padding-left: 60px;
+  }
+  .jumbotron h1,
+  .jumbotron .h1 {
+    font-size: 63px;
+  }
+}
+.thumbnail {
+  display: block;
+  padding: 4px;
+  margin-bottom: 20px;
+  line-height: 1.42857143;
+  background-color: #fff;
+  border: 1px solid #ddd;
+  border-radius: 4px;
+  -webkit-transition: border 0.2s ease-in-out;
+  -o-transition: border 0.2s ease-in-out;
+  transition: border 0.2s ease-in-out;
+}
+.thumbnail > img,
+.thumbnail a > img {
+  margin-right: auto;
+  margin-left: auto;
+}
+a.thumbnail:hover,
+a.thumbnail:focus,
+a.thumbnail.active {
+  border-color: #337ab7;
+}
+.thumbnail .caption {
+  padding: 9px;
+  color: #333333;
+}
+.alert {
+  padding: 15px;
+  margin-bottom: 20px;
+  border: 1px solid transparent;
+  border-radius: 4px;
+}
+.alert h4 {
+  margin-top: 0;
+  color: inherit;
+}
+.alert .alert-link {
+  font-weight: bold;
+}
+.alert > p,
+.alert > ul {
+  margin-bottom: 0;
+}
+.alert > p + p {
+  margin-top: 5px;
+}
+.alert-dismissable,
+.alert-dismissible {
+  padding-right: 35px;
+}
+.alert-dismissable .close,
+.alert-dismissible .close {
+  position: relative;
+  top: -2px;
+  right: -21px;
+  color: inherit;
+}
+.alert-success {
+  color: #3c763d;
+  background-color: #dff0d8;
+  border-color: #d6e9c6;
+}
+.alert-success hr {
+  border-top-color: #c9e2b3;
+}
+.alert-success .alert-link {
+  color: #2b542c;
+}
+.alert-info {
+  color: #31708f;
+  background-color: #d9edf7;
+  border-color: #bce8f1;
+}
+.alert-info hr {
+  border-top-color: #a6e1ec;
+}
+.alert-info .alert-link {
+  color: #245269;
+}
+.alert-warning {
+  color: #8a6d3b;
+  background-color: #fcf8e3;
+  border-color: #faebcc;
+}
+.alert-warning hr {
+  border-top-color: #f7e1b5;
+}
+.alert-warning .alert-link {
+  color: #66512c;
+}
+.alert-danger {
+  color: #a94442;
+  background-color: #f2dede;
+  border-color: #ebccd1;
+}
+.alert-danger hr {
+  border-top-color: #e4b9c0;
+}
+.alert-danger .alert-link {
+  color: #843534;
+}
+@-webkit-keyframes progress-bar-stripes {
+  from {
+    background-position: 40px 0;
+  }
+  to {
+    background-position: 0 0;
+  }
+}
+@-o-keyframes progress-bar-stripes {
+  from {
+    background-position: 40px 0;
+  }
+  to {
+    background-position: 0 0;
+  }
+}
+@keyframes progress-bar-stripes {
+  from {
+    background-position: 40px 0;
+  }
+  to {
+    background-position: 0 0;
+  }
+}
+.progress {
+  height: 20px;
+  margin-bottom: 20px;
+  overflow: hidden;
+  background-color: #f5f5f5;
+  border-radius: 4px;
+  -webkit-box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);
+  box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);
+}
+.progress-bar {
+  float: left;
+  width: 0%;
+  height: 100%;
+  font-size: 12px;
+  line-height: 20px;
+  color: #fff;
+  text-align: center;
+  background-color: #337ab7;
+  -webkit-box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15);
+  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15);
+  -webkit-transition: width 0.6s ease;
+  -o-transition: width 0.6s ease;
+  transition: width 0.6s ease;
+}
+.progress-striped .progress-bar,
+.progress-bar-striped {
+  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+  -webkit-background-size: 40px 40px;
+  background-size: 40px 40px;
+}
+.progress.active .progress-bar,
+.progress-bar.active {
+  -webkit-animation: progress-bar-stripes 2s linear infinite;
+  -o-animation: progress-bar-stripes 2s linear infinite;
+  animation: progress-bar-stripes 2s linear infinite;
+}
+.progress-bar-success {
+  background-color: #5cb85c;
+}
+.progress-striped .progress-bar-success {
+  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+}
+.progress-bar-info {
+  background-color: #5bc0de;
+}
+.progress-striped .progress-bar-info {
+  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+}
+.progress-bar-warning {
+  background-color: #f0ad4e;
+}
+.progress-striped .progress-bar-warning {
+  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+}
+.progress-bar-danger {
+  background-color: #d9534f;
+}
+.progress-striped .progress-bar-danger {
+  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
+}
+.media {
+  margin-top: 15px;
+}
+.media:first-child {
+  margin-top: 0;
+}
+.media,
+.media-body {
+  overflow: hidden;
+  zoom: 1;
+}
+.media-body {
+  width: 10000px;
+}
+.media-object {
+  display: block;
+}
+.media-object.img-thumbnail {
+  max-width: none;
+}
+.media-right,
+.media > .pull-right {
+  padding-left: 10px;
+}
+.media-left,
+.media > .pull-left {
+  padding-right: 10px;
+}
+.media-left,
+.media-right,
+.media-body {
+  display: table-cell;
+  vertical-align: top;
+}
+.media-middle {
+  vertical-align: middle;
+}
+.media-bottom {
+  vertical-align: bottom;
+}
+.media-heading {
+  margin-top: 0;
+  margin-bottom: 5px;
+}
+.media-list {
+  padding-left: 0;
+  list-style: none;
+}
+.list-group {
+  padding-left: 0;
+  margin-bottom: 20px;
+}
+.list-group-item {
+  position: relative;
+  display: block;
+  padding: 10px 15px;
+  margin-bottom: -1px;
+  background-color: #fff;
+  border: 1px solid #ddd;
+}
+.list-group-item:first-child {
+  border-top-left-radius: 4px;
+  border-top-right-radius: 4px;
+}
+.list-group-item:last-child {
+  margin-bottom: 0;
+  border-bottom-right-radius: 4px;
+  border-bottom-left-radius: 4px;
+}
+.list-group-item.disabled,
+.list-group-item.disabled:hover,
+.list-group-item.disabled:focus {
+  color: #777777;
+  cursor: not-allowed;
+  background-color: #eeeeee;
+}
+.list-group-item.disabled .list-group-item-heading,
+.list-group-item.disabled:hover .list-group-item-heading,
+.list-group-item.disabled:focus .list-group-item-heading {
+  color: inherit;
+}
+.list-group-item.disabled .list-group-item-text,
+.list-group-item.disabled:hover .list-group-item-text,
+.list-group-item.disabled:focus .list-group-item-text {
+  color: #777777;
+}
+.list-group-item.active,
+.list-group-item.active:hover,
+.list-group-item.active:focus {
+  z-index: 2;
+  color: #fff;
+  background-color: #337ab7;
+  border-color: #337ab7;
+}
+.list-group-item.active .list-group-item-heading,
+.list-group-item.active:hover .list-group-item-heading,
+.list-group-item.active:focus .list-group-item-heading,
+.list-group-item.active .list-group-item-heading > small,
+.list-group-item.active:hover .list-group-item-heading > small,
+.list-group-item.active:focus .list-group-item-heading > small,
+.list-group-item.active .list-group-item-heading > .small,
+.list-group-item.active:hover .list-group-item-heading > .small,
+.list-group-item.active:focus .list-group-item-heading > .small {
+  color: inherit;
+}
+.list-group-item.active .list-group-item-text,
+.list-group-item.active:hover .list-group-item-text,
+.list-group-item.active:focus .list-group-item-text {
+  color: #c7ddef;
+}
+a.list-group-item,
+button.list-group-item {
+  color: #555;
+}
+a.list-group-item .list-group-item-heading,
+button.list-group-item .list-group-item-heading {
+  color: #333;
+}
+a.list-group-item:hover,
+button.list-group-item:hover,
+a.list-group-item:focus,
+button.list-group-item:focus {
+  color: #555;
+  text-decoration: none;
+  background-color: #f5f5f5;
+}
+button.list-group-item {
+  width: 100%;
+  text-align: left;
+}
+.list-group-item-success {
+  color: #3c763d;
+  background-color: #dff0d8;
+}
+a.list-group-item-success,
+button.list-group-item-success {
+  color: #3c763d;
+}
+a.list-group-item-success .list-group-item-heading,
+button.list-group-item-success .list-group-item-heading {
+  color: inherit;
+}
+a.list-group-item-success:hover,
+button.list-group-item-success:hover,
+a.list-group-item-success:focus,
+button.list-group-item-success:focus {
+  color: #3c763d;
+  background-color: #d0e9c6;
+}
+a.list-group-item-success.active,
+button.list-group-item-success.active,
+a.list-group-item-success.active:hover,
+button.list-group-item-success.active:hover,
+a.list-group-item-success.active:focus,
+button.list-group-item-success.active:focus {
+  color: #fff;
+  background-color: #3c763d;
+  border-color: #3c763d;
+}
+.list-group-item-info {
+  color: #31708f;
+  background-color: #d9edf7;
+}
+a.list-group-item-info,
+button.list-group-item-info {
+  color: #31708f;
+}
+a.list-group-item-info .list-group-item-heading,
+button.list-group-item-info .list-group-item-heading {
+  color: inherit;
+}
+a.list-group-item-info:hover,
+button.list-group-item-info:hover,
+a.list-group-item-info:focus,
+button.list-group-item-info:focus {
+  color: #31708f;
+  background-color: #c4e3f3;
+}
+a.list-group-item-info.active,
+button.list-group-item-info.active,
+a.list-group-item-info.active:hover,
+button.list-group-item-info.active:hover,
+a.list-group-item-info.active:focus,
+button.list-group-item-info.active:focus {
+  color: #fff;
+  background-color: #31708f;
+  border-color: #31708f;
+}
+.list-group-item-warning {
+  color: #8a6d3b;
+  background-color: #fcf8e3;
+}
+a.list-group-item-warning,
+button.list-group-item-warning {
+  color: #8a6d3b;
+}
+a.list-group-item-warning .list-group-item-heading,
+button.list-group-item-warning .list-group-item-heading {
+  color: inherit;
+}
+a.list-group-item-warning:hover,
+button.list-group-item-warning:hover,
+a.list-group-item-warning:focus,
+button.list-group-item-warning:focus {
+  color: #8a6d3b;
+  background-color: #faf2cc;
+}
+a.list-group-item-warning.active,
+button.list-group-item-warning.active,
+a.list-group-item-warning.active:hover,
+button.list-group-item-warning.active:hover,
+a.list-group-item-warning.active:focus,
+button.list-group-item-warning.active:focus {
+  color: #fff;
+  background-color: #8a6d3b;
+  border-color: #8a6d3b;
+}
+.list-group-item-danger {
+  color: #a94442;
+  background-color: #f2dede;
+}
+a.list-group-item-danger,
+button.list-group-item-danger {
+  color: #a94442;
+}
+a.list-group-item-danger .list-group-item-heading,
+button.list-group-item-danger .list-group-item-heading {
+  color: inherit;
+}
+a.list-group-item-danger:hover,
+button.list-group-item-danger:hover,
+a.list-group-item-danger:focus,
+button.list-group-item-danger:focus {
+  color: #a94442;
+  background-color: #ebcccc;
+}
+a.list-group-item-danger.active,
+button.list-group-item-danger.active,
+a.list-group-item-danger.active:hover,
+button.list-group-item-danger.active:hover,
+a.list-group-item-danger.active:focus,
+button.list-group-item-danger.active:focus {
+  color: #fff;
+  background-color: #a94442;
+  border-color: #a94442;
+}
+.list-group-item-heading {
+  margin-top: 0;
+  margin-bottom: 5px;
+}
+.list-group-item-text {
+  margin-bottom: 0;
+  line-height: 1.3;
+}
+.panel {
+  margin-bottom: 20px;
+  background-color: #fff;
+  border: 1px solid transparent;
+  border-radius: 4px;
+  -webkit-box-shadow: 0 1px 1px rgba(0, 0, 0, 0.05);
+  box-shadow: 0 1px 1px rgba(0, 0, 0, 0.05);
+}
+.panel-body {
+  padding: 15px;
+}
+.panel-heading {
+  padding: 10px 15px;
+  border-bottom: 1px solid transparent;
+  border-top-left-radius: 3px;
+  border-top-right-radius: 3px;
+}
+.panel-heading > .dropdown .dropdown-toggle {
+  color: inherit;
+}
+.panel-title {
+  margin-top: 0;
+  margin-bottom: 0;
+  font-size: 16px;
+  color: inherit;
+}
+.panel-title > a,
+.panel-title > small,
+.panel-title > .small,
+.panel-title > small > a,
+.panel-title > .small > a {
+  color: inherit;
+}
+.panel-footer {
+  padding: 10px 15px;
+  background-color: #f5f5f5;
+  border-top: 1px solid #ddd;
+  border-bottom-right-radius: 3px;
+  border-bottom-left-radius: 3px;
+}
+.panel > .list-group,
+.panel > .panel-collapse > .list-group {
+  margin-bottom: 0;
+}
+.panel > .list-group .list-group-item,
+.panel > .panel-collapse > .list-group .list-group-item {
+  border-width: 1px 0;
+  border-radius: 0;
+}
+.panel > .list-group:first-child .list-group-item:first-child,
+.panel > .panel-collapse > .list-group:first-child .list-group-item:first-child {
+  border-top: 0;
+  border-top-left-radius: 3px;
+  border-top-right-radius: 3px;
+}
+.panel > .list-group:last-child .list-group-item:last-child,
+.panel > .panel-collapse > .list-group:last-child .list-group-item:last-child {
+  border-bottom: 0;
+  border-bottom-right-radius: 3px;
+  border-bottom-left-radius: 3px;
+}
+.panel > .panel-heading + .panel-collapse > .list-group .list-group-item:first-child {
+  border-top-left-radius: 0;
+  border-top-right-radius: 0;
+}
+.panel-heading + .list-group .list-group-item:first-child {
+  border-top-width: 0;
+}
+.list-group + .panel-footer {
+  border-top-width: 0;
+}
+.panel > .table,
+.panel > .table-responsive > .table,
+.panel > .panel-collapse > .table {
+  margin-bottom: 0;
+}
+.panel > .table caption,
+.panel > .table-responsive > .table caption,
+.panel > .panel-collapse > .table caption {
+  padding-right: 15px;
+  padding-left: 15px;
+}
+.panel > .table:first-child,
+.panel > .table-responsive:first-child > .table:first-child {
+  border-top-left-radius: 3px;
+  border-top-right-radius: 3px;
+}
+.panel > .table:first-child > thead:first-child > tr:first-child,
+.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child,
+.panel > .table:first-child > tbody:first-child > tr:first-child,
+.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child {
+  border-top-left-radius: 3px;
+  border-top-right-radius: 3px;
+}
+.panel > .table:first-child > thead:first-child > tr:first-child td:first-child,
+.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child td:first-child,
+.panel > .table:first-child > tbody:first-child > tr:first-child td:first-child,
+.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child td:first-child,
+.panel > .table:first-child > thead:first-child > tr:first-child th:first-child,
+.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child th:first-child,
+.panel > .table:first-child > tbody:first-child > tr:first-child th:first-child,
+.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child th:first-child {
+  border-top-left-radius: 3px;
+}
+.panel > .table:first-child > thead:first-child > tr:first-child td:last-child,
+.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child td:last-child,
+.panel > .table:first-child > tbody:first-child > tr:first-child td:last-child,
+.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child td:last-child,
+.panel > .table:first-child > thead:first-child > tr:first-child th:last-child,
+.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child th:last-child,
+.panel > .table:first-child > tbody:first-child > tr:first-child th:last-child,
+.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child th:last-child {
+  border-top-right-radius: 3px;
+}
+.panel > .table:last-child,
+.panel > .table-responsive:last-child > .table:last-child {
+  border-bottom-right-radius: 3px;
+  border-bottom-left-radius: 3px;
+}
+.panel > .table:last-child > tbody:last-child > tr:last-child,
+.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child,
+.panel > .table:last-child > tfoot:last-child > tr:last-child,
+.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child {
+  border-bottom-right-radius: 3px;
+  border-bottom-left-radius: 3px;
+}
+.panel > .table:last-child > tbody:last-child > tr:last-child td:first-child,
+.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child td:first-child,
+.panel > .table:last-child > tfoot:last-child > tr:last-child td:first-child,
+.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child td:first-child,
+.panel > .table:last-child > tbody:last-child > tr:last-child th:first-child,
+.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child th:first-child,
+.panel > .table:last-child > tfoot:last-child > tr:last-child th:first-child,
+.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child th:first-child {
+  border-bottom-left-radius: 3px;
+}
+.panel > .table:last-child > tbody:last-child > tr:last-child td:last-child,
+.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child td:last-child,
+.panel > .table:last-child > tfoot:last-child > tr:last-child td:last-child,
+.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child td:last-child,
+.panel > .table:last-child > tbody:last-child > tr:last-child th:last-child,
+.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child th:last-child,
+.panel > .table:last-child > tfoot:last-child > tr:last-child th:last-child,
+.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child th:last-child {
+  border-bottom-right-radius: 3px;
+}
+.panel > .panel-body + .table,
+.panel > .panel-body + .table-responsive,
+.panel > .table + .panel-body,
+.panel > .table-responsive + .panel-body {
+  border-top: 1px solid #ddd;
+}
+.panel > .table > tbody:first-child > tr:first-child th,
+.panel > .table > tbody:first-child > tr:first-child td {
+  border-top: 0;
+}
+.panel > .table-bordered,
+.panel > .table-responsive > .table-bordered {
+  border: 0;
+}
+.panel > .table-bordered > thead > tr > th:first-child,
+.panel > .table-responsive > .table-bordered > thead > tr > th:first-child,
+.panel > .table-bordered > tbody > tr > th:first-child,
+.panel > .table-responsive > .table-bordered > tbody > tr > th:first-child,
+.panel > .table-bordered > tfoot > tr > th:first-child,
+.panel > .table-responsive > .table-bordered > tfoot > tr > th:first-child,
+.panel > .table-bordered > thead > tr > td:first-child,
+.panel > .table-responsive > .table-bordered > thead > tr > td:first-child,
+.panel > .table-bordered > tbody > tr > td:first-child,
+.panel > .table-responsive > .table-bordered > tbody > tr > td:first-child,
+.panel > .table-bordered > tfoot > tr > td:first-child,
+.panel > .table-responsive > .table-bordered > tfoot > tr > td:first-child {
+  border-left: 0;
+}
+.panel > .table-bordered > thead > tr > th:last-child,
+.panel > .table-responsive > .table-bordered > thead > tr > th:last-child,
+.panel > .table-bordered > tbody > tr > th:last-child,
+.panel > .table-responsive > .table-bordered > tbody > tr > th:last-child,
+.panel > .table-bordered > tfoot > tr > th:last-child,
+.panel > .table-responsive > .table-bordered > tfoot > tr > th:last-child,
+.panel > .table-bordered > thead > tr > td:last-child,
+.panel > .table-responsive > .table-bordered > thead > tr > td:last-child,
+.panel > .table-bordered > tbody > tr > td:last-child,
+.panel > .table-responsive > .table-bordered > tbody > tr > td:last-child,
+.panel > .table-bordered > tfoot > tr > td:last-child,
+.panel > .table-responsive > .table-bordered > tfoot > tr > td:last-child {
+  border-right: 0;
+}
+.panel > .table-bordered > thead > tr:first-child > td,
+.panel > .table-responsive > .table-bordered > thead > tr:first-child > td,
+.panel > .table-bordered > tbody > tr:first-child > td,
+.panel > .table-responsive > .table-bordered > tbody > tr:first-child > td,
+.panel > .table-bordered > thead > tr:first-child > th,
+.panel > .table-responsive > .table-bordered > thead > tr:first-child > th,
+.panel > .table-bordered > tbody > tr:first-child > th,
+.panel > .table-responsive > .table-bordered > tbody > tr:first-child > th {
+  border-bottom: 0;
+}
+.panel > .table-bordered > tbody > tr:last-child > td,
+.panel > .table-responsive > .table-bordered > tbody > tr:last-child > td,
+.panel > .table-bordered > tfoot > tr:last-child > td,
+.panel > .table-responsive > .table-bordered > tfoot > tr:last-child > td,
+.panel > .table-bordered > tbody > tr:last-child > th,
+.panel > .table-responsive > .table-bordered > tbody > tr:last-child > th,
+.panel > .table-bordered > tfoot > tr:last-child > th,
+.panel > .table-responsive > .table-bordered > tfoot > tr:last-child > th {
+  border-bottom: 0;
+}
+.panel > .table-responsive {
+  margin-bottom: 0;
+  border: 0;
+}
+.panel-group {
+  margin-bottom: 20px;
+}
+.panel-group .panel {
+  margin-bottom: 0;
+  border-radius: 4px;
+}
+.panel-group .panel + .panel {
+  margin-top: 5px;
+}
+.panel-group .panel-heading {
+  border-bottom: 0;
+}
+.panel-group .panel-heading + .panel-collapse > .panel-body,
+.panel-group .panel-heading + .panel-collapse > .list-group {
+  border-top: 1px solid #ddd;
+}
+.panel-group .panel-footer {
+  border-top: 0;
+}
+.panel-group .panel-footer + .panel-collapse .panel-body {
+  border-bottom: 1px solid #ddd;
+}
+.panel-default {
+  border-color: #ddd;
+}
+.panel-default > .panel-heading {
+  color: #333333;
+  background-color: #f5f5f5;
+  border-color: #ddd;
+}
+.panel-default > .panel-heading + .panel-collapse > .panel-body {
+  border-top-color: #ddd;
+}
+.panel-default > .panel-heading .badge {
+  color: #f5f5f5;
+  background-color: #333333;
+}
+.panel-default > .panel-footer + .panel-collapse > .panel-body {
+  border-bottom-color: #ddd;
+}
+.panel-primary {
+  border-color: #337ab7;
+}
+.panel-primary > .panel-heading {
+  color: #fff;
+  background-color: #337ab7;
+  border-color: #337ab7;
+}
+.panel-primary > .panel-heading + .panel-collapse > .panel-body {
+  border-top-color: #337ab7;
+}
+.panel-primary > .panel-heading .badge {
+  color: #337ab7;
+  background-color: #fff;
+}
+.panel-primary > .panel-footer + .panel-collapse > .panel-body {
+  border-bottom-color: #337ab7;
+}
+.panel-success {
+  border-color: #d6e9c6;
+}
+.panel-success > .panel-heading {
+  color: #3c763d;
+  background-color: #dff0d8;
+  border-color: #d6e9c6;
+}
+.panel-success > .panel-heading + .panel-collapse > .panel-body {
+  border-top-color: #d6e9c6;
+}
+.panel-success > .panel-heading .badge {
+  color: #dff0d8;
+  background-color: #3c763d;
+}
+.panel-success > .panel-footer + .panel-collapse > .panel-body {
+  border-bottom-color: #d6e9c6;
+}
+.panel-info {
+  border-color: #bce8f1;
+}
+.panel-info > .panel-heading {
+  color: #31708f;
+  background-color: #d9edf7;
+  border-color: #bce8f1;
+}
+.panel-info > .panel-heading + .panel-collapse > .panel-body {
+  border-top-color: #bce8f1;
+}
+.panel-info > .panel-heading .badge {
+  color: #d9edf7;
+  background-color: #31708f;
+}
+.panel-info > .panel-footer + .panel-collapse > .panel-body {
+  border-bottom-color: #bce8f1;
+}
+.panel-warning {
+  border-color: #faebcc;
+}
+.panel-warning > .panel-heading {
+  color: #8a6d3b;
+  background-color: #fcf8e3;
+  border-color: #faebcc;
+}
+.panel-warning > .panel-heading + .panel-collapse > .panel-body {
+  border-top-color: #faebcc;
+}
+.panel-warning > .panel-heading .badge {
+  color: #fcf8e3;
+  background-color: #8a6d3b;
+}
+.panel-warning > .panel-footer + .panel-collapse > .panel-body {
+  border-bottom-color: #faebcc;
+}
+.panel-danger {
+  border-color: #ebccd1;
+}
+.panel-danger > .panel-heading {
+  color: #a94442;
+  background-color: #f2dede;
+  border-color: #ebccd1;
+}
+.panel-danger > .panel-heading + .panel-collapse > .panel-body {
+  border-top-color: #ebccd1;
+}
+.panel-danger > .panel-heading .badge {
+  color: #f2dede;
+  background-color: #a94442;
+}
+.panel-danger > .panel-footer + .panel-collapse > .panel-body {
+  border-bottom-color: #ebccd1;
+}
+.embed-responsive {
+  position: relative;
+  display: block;
+  height: 0;
+  padding: 0;
+  overflow: hidden;
+}
+.embed-responsive .embed-responsive-item,
+.embed-responsive iframe,
+.embed-responsive embed,
+.embed-responsive object,
+.embed-responsive video {
+  position: absolute;
+  top: 0;
+  bottom: 0;
+  left: 0;
+  width: 100%;
+  height: 100%;
+  border: 0;
+}
+.embed-responsive-16by9 {
+  padding-bottom: 56.25%;
+}
+.embed-responsive-4by3 {
+  padding-bottom: 75%;
+}
+.well {
+  min-height: 20px;
+  padding: 19px;
+  margin-bottom: 20px;
+  background-color: #f5f5f5;
+  border: 1px solid #e3e3e3;
+  border-radius: 4px;
+  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);
+  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);
+}
+.well blockquote {
+  border-color: #ddd;
+  border-color: rgba(0, 0, 0, 0.15);
+}
+.well-lg {
+  padding: 24px;
+  border-radius: 6px;
+}
+.well-sm {
+  padding: 9px;
+  border-radius: 3px;
+}
+.close {
+  float: right;
+  font-size: 21px;
+  font-weight: bold;
+  line-height: 1;
+  color: #000;
+  text-shadow: 0 1px 0 #fff;
+  filter: alpha(opacity=20);
+  opacity: 0.2;
+}
+.close:hover,
+.close:focus {
+  color: #000;
+  text-decoration: none;
+  cursor: pointer;
+  filter: alpha(opacity=50);
+  opacity: 0.5;
+}
+button.close {
+  padding: 0;
+  cursor: pointer;
+  background: transparent;
+  border: 0;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+  appearance: none;
+}
+.modal-open {
+  overflow: hidden;
+}
+.modal {
+  position: fixed;
+  top: 0;
+  right: 0;
+  bottom: 0;
+  left: 0;
+  z-index: 1050;
+  display: none;
+  overflow: hidden;
+  -webkit-overflow-scrolling: touch;
+  outline: 0;
+}
+.modal.fade .modal-dialog {
+  -webkit-transform: translate(0, -25%);
+  -ms-transform: translate(0, -25%);
+  -o-transform: translate(0, -25%);
+  transform: translate(0, -25%);
+  -webkit-transition: -webkit-transform 0.3s ease-out;
+  -o-transition: -o-transform 0.3s ease-out;
+  transition: -webkit-transform 0.3s ease-out;
+  transition: transform 0.3s ease-out;
+  transition: transform 0.3s ease-out, -webkit-transform 0.3s ease-out, -o-transform 0.3s ease-out;
+}
+.modal.in .modal-dialog {
+  -webkit-transform: translate(0, 0);
+  -ms-transform: translate(0, 0);
+  -o-transform: translate(0, 0);
+  transform: translate(0, 0);
+}
+.modal-open .modal {
+  overflow-x: hidden;
+  overflow-y: auto;
+}
+.modal-dialog {
+  position: relative;
+  width: auto;
+  margin: 10px;
+}
+.modal-content {
+  position: relative;
+  background-color: #fff;
+  background-clip: padding-box;
+  border: 1px solid #999;
+  border: 1px solid rgba(0, 0, 0, 0.2);
+  border-radius: 6px;
+  -webkit-box-shadow: 0 3px 9px rgba(0, 0, 0, 0.5);
+  box-shadow: 0 3px 9px rgba(0, 0, 0, 0.5);
+  outline: 0;
+}
+.modal-backdrop {
+  position: fixed;
+  top: 0;
+  right: 0;
+  bottom: 0;
+  left: 0;
+  z-index: 1040;
+  background-color: #000;
+}
+.modal-backdrop.fade {
+  filter: alpha(opacity=0);
+  opacity: 0;
+}
+.modal-backdrop.in {
+  filter: alpha(opacity=50);
+  opacity: 0.5;
+}
+.modal-header {
+  padding: 15px;
+  border-bottom: 1px solid #e5e5e5;
+}
+.modal-header .close {
+  margin-top: -2px;
+}
+.modal-title {
+  margin: 0;
+  line-height: 1.42857143;
+}
+.modal-body {
+  position: relative;
+  padding: 15px;
+}
+.modal-footer {
+  padding: 15px;
+  text-align: right;
+  border-top: 1px solid #e5e5e5;
+}
+.modal-footer .btn + .btn {
+  margin-bottom: 0;
+  margin-left: 5px;
+}
+.modal-footer .btn-group .btn + .btn {
+  margin-left: -1px;
+}
+.modal-footer .btn-block + .btn-block {
+  margin-left: 0;
+}
+.modal-scrollbar-measure {
+  position: absolute;
+  top: -9999px;
+  width: 50px;
+  height: 50px;
+  overflow: scroll;
+}
+@media (min-width: 768px) {
+  .modal-dialog {
+    width: 600px;
+    margin: 30px auto;
+  }
+  .modal-content {
+    -webkit-box-shadow: 0 5px 15px rgba(0, 0, 0, 0.5);
+    box-shadow: 0 5px 15px rgba(0, 0, 0, 0.5);
+  }
+  .modal-sm {
+    width: 300px;
+  }
+}
+@media (min-width: 992px) {
+  .modal-lg {
+    width: 900px;
+  }
+}
+.tooltip {
+  position: absolute;
+  z-index: 1070;
+  display: block;
+  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
+  font-style: normal;
+  font-weight: 400;
+  line-height: 1.42857143;
+  line-break: auto;
+  text-align: left;
+  text-align: start;
+  text-decoration: none;
+  text-shadow: none;
+  text-transform: none;
+  letter-spacing: normal;
+  word-break: normal;
+  word-spacing: normal;
+  word-wrap: normal;
+  white-space: normal;
+  font-size: 12px;
+  filter: alpha(opacity=0);
+  opacity: 0;
+}
+.tooltip.in {
+  filter: alpha(opacity=90);
+  opacity: 0.9;
+}
+.tooltip.top {
+  padding: 5px 0;
+  margin-top: -3px;
+}
+.tooltip.right {
+  padding: 0 5px;
+  margin-left: 3px;
+}
+.tooltip.bottom {
+  padding: 5px 0;
+  margin-top: 3px;
+}
+.tooltip.left {
+  padding: 0 5px;
+  margin-left: -3px;
+}
+.tooltip.top .tooltip-arrow {
+  bottom: 0;
+  left: 50%;
+  margin-left: -5px;
+  border-width: 5px 5px 0;
+  border-top-color: #000;
+}
+.tooltip.top-left .tooltip-arrow {
+  right: 5px;
+  bottom: 0;
+  margin-bottom: -5px;
+  border-width: 5px 5px 0;
+  border-top-color: #000;
+}
+.tooltip.top-right .tooltip-arrow {
+  bottom: 0;
+  left: 5px;
+  margin-bottom: -5px;
+  border-width: 5px 5px 0;
+  border-top-color: #000;
+}
+.tooltip.right .tooltip-arrow {
+  top: 50%;
+  left: 0;
+  margin-top: -5px;
+  border-width: 5px 5px 5px 0;
+  border-right-color: #000;
+}
+.tooltip.left .tooltip-arrow {
+  top: 50%;
+  right: 0;
+  margin-top: -5px;
+  border-width: 5px 0 5px 5px;
+  border-left-color: #000;
+}
+.tooltip.bottom .tooltip-arrow {
+  top: 0;
+  left: 50%;
+  margin-left: -5px;
+  border-width: 0 5px 5px;
+  border-bottom-color: #000;
+}
+.tooltip.bottom-left .tooltip-arrow {
+  top: 0;
+  right: 5px;
+  margin-top: -5px;
+  border-width: 0 5px 5px;
+  border-bottom-color: #000;
+}
+.tooltip.bottom-right .tooltip-arrow {
+  top: 0;
+  left: 5px;
+  margin-top: -5px;
+  border-width: 0 5px 5px;
+  border-bottom-color: #000;
+}
+.tooltip-inner {
+  max-width: 200px;
+  padding: 3px 8px;
+  color: #fff;
+  text-align: center;
+  background-color: #000;
+  border-radius: 4px;
+}
+.tooltip-arrow {
+  position: absolute;
+  width: 0;
+  height: 0;
+  border-color: transparent;
+  border-style: solid;
+}
+.popover {
+  position: absolute;
+  top: 0;
+  left: 0;
+  z-index: 1060;
+  display: none;
+  max-width: 276px;
+  padding: 1px;
+  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
+  font-style: normal;
+  font-weight: 400;
+  line-height: 1.42857143;
+  line-break: auto;
+  text-align: left;
+  text-align: start;
+  text-decoration: none;
+  text-shadow: none;
+  text-transform: none;
+  letter-spacing: normal;
+  word-break: normal;
+  word-spacing: normal;
+  word-wrap: normal;
+  white-space: normal;
+  font-size: 14px;
+  background-color: #fff;
+  background-clip: padding-box;
+  border: 1px solid #ccc;
+  border: 1px solid rgba(0, 0, 0, 0.2);
+  border-radius: 6px;
+  -webkit-box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);
+  box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);
+}
+.popover.top {
+  margin-top: -10px;
+}
+.popover.right {
+  margin-left: 10px;
+}
+.popover.bottom {
+  margin-top: 10px;
+}
+.popover.left {
+  margin-left: -10px;
+}
+.popover > .arrow {
+  border-width: 11px;
+}
+.popover > .arrow,
+.popover > .arrow:after {
+  position: absolute;
+  display: block;
+  width: 0;
+  height: 0;
+  border-color: transparent;
+  border-style: solid;
+}
+.popover > .arrow:after {
+  content: "";
+  border-width: 10px;
+}
+.popover.top > .arrow {
+  bottom: -11px;
+  left: 50%;
+  margin-left: -11px;
+  border-top-color: #999999;
+  border-top-color: rgba(0, 0, 0, 0.25);
+  border-bottom-width: 0;
+}
+.popover.top > .arrow:after {
+  bottom: 1px;
+  margin-left: -10px;
+  content: " ";
+  border-top-color: #fff;
+  border-bottom-width: 0;
+}
+.popover.right > .arrow {
+  top: 50%;
+  left: -11px;
+  margin-top: -11px;
+  border-right-color: #999999;
+  border-right-color: rgba(0, 0, 0, 0.25);
+  border-left-width: 0;
+}
+.popover.right > .arrow:after {
+  bottom: -10px;
+  left: 1px;
+  content: " ";
+  border-right-color: #fff;
+  border-left-width: 0;
+}
+.popover.bottom > .arrow {
+  top: -11px;
+  left: 50%;
+  margin-left: -11px;
+  border-top-width: 0;
+  border-bottom-color: #999999;
+  border-bottom-color: rgba(0, 0, 0, 0.25);
+}
+.popover.bottom > .arrow:after {
+  top: 1px;
+  margin-left: -10px;
+  content: " ";
+  border-top-width: 0;
+  border-bottom-color: #fff;
+}
+.popover.left > .arrow {
+  top: 50%;
+  right: -11px;
+  margin-top: -11px;
+  border-right-width: 0;
+  border-left-color: #999999;
+  border-left-color: rgba(0, 0, 0, 0.25);
+}
+.popover.left > .arrow:after {
+  right: 1px;
+  bottom: -10px;
+  content: " ";
+  border-right-width: 0;
+  border-left-color: #fff;
+}
+.popover-title {
+  padding: 8px 14px;
+  margin: 0;
+  font-size: 14px;
+  background-color: #f7f7f7;
+  border-bottom: 1px solid #ebebeb;
+  border-radius: 5px 5px 0 0;
+}
+.popover-content {
+  padding: 9px 14px;
+}
+.carousel {
+  position: relative;
+}
+.carousel-inner {
+  position: relative;
+  width: 100%;
+  overflow: hidden;
+}
+.carousel-inner > .item {
+  position: relative;
+  display: none;
+  -webkit-transition: 0.6s ease-in-out left;
+  -o-transition: 0.6s ease-in-out left;
+  transition: 0.6s ease-in-out left;
+}
+.carousel-inner > .item > img,
+.carousel-inner > .item > a > img {
+  line-height: 1;
+}
+@media all and (transform-3d), (-webkit-transform-3d) {
+  .carousel-inner > .item {
+    -webkit-transition: -webkit-transform 0.6s ease-in-out;
+    -o-transition: -o-transform 0.6s ease-in-out;
+    transition: -webkit-transform 0.6s ease-in-out;
+    transition: transform 0.6s ease-in-out;
+    transition: transform 0.6s ease-in-out, -webkit-transform 0.6s ease-in-out, -o-transform 0.6s ease-in-out;
+    -webkit-backface-visibility: hidden;
+    backface-visibility: hidden;
+    -webkit-perspective: 1000px;
+    perspective: 1000px;
+  }
+  .carousel-inner > .item.next,
+  .carousel-inner > .item.active.right {
+    -webkit-transform: translate3d(100%, 0, 0);
+    transform: translate3d(100%, 0, 0);
+    left: 0;
+  }
+  .carousel-inner > .item.prev,
+  .carousel-inner > .item.active.left {
+    -webkit-transform: translate3d(-100%, 0, 0);
+    transform: translate3d(-100%, 0, 0);
+    left: 0;
+  }
+  .carousel-inner > .item.next.left,
+  .carousel-inner > .item.prev.right,
+  .carousel-inner > .item.active {
+    -webkit-transform: translate3d(0, 0, 0);
+    transform: translate3d(0, 0, 0);
+    left: 0;
+  }
+}
+.carousel-inner > .active,
+.carousel-inner > .next,
+.carousel-inner > .prev {
+  display: block;
+}
+.carousel-inner > .active {
+  left: 0;
+}
+.carousel-inner > .next,
+.carousel-inner > .prev {
+  position: absolute;
+  top: 0;
+  width: 100%;
+}
+.carousel-inner > .next {
+  left: 100%;
+}
+.carousel-inner > .prev {
+  left: -100%;
+}
+.carousel-inner > .next.left,
+.carousel-inner > .prev.right {
+  left: 0;
+}
+.carousel-inner > .active.left {
+  left: -100%;
+}
+.carousel-inner > .active.right {
+  left: 100%;
+}
+.carousel-control {
+  position: absolute;
+  top: 0;
+  bottom: 0;
+  left: 0;
+  width: 15%;
+  font-size: 20px;
+  color: #fff;
+  text-align: center;
+  text-shadow: 0 1px 2px rgba(0, 0, 0, 0.6);
+  background-color: rgba(0, 0, 0, 0);
+  filter: alpha(opacity=50);
+  opacity: 0.5;
+}
+.carousel-control.left {
+  background-image: -webkit-linear-gradient(left, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
+  background-image: -o-linear-gradient(left, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
+  background-image: -webkit-gradient(linear, left top, right top, from(rgba(0, 0, 0, 0.5)), to(rgba(0, 0, 0, 0.0001)));
+  background-image: linear-gradient(to right, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
+  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#80000000', endColorstr='#00000000', GradientType=1);
+  background-repeat: repeat-x;
+}
+.carousel-control.right {
+  right: 0;
+  left: auto;
+  background-image: -webkit-linear-gradient(left, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
+  background-image: -o-linear-gradient(left, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
+  background-image: -webkit-gradient(linear, left top, right top, from(rgba(0, 0, 0, 0.0001)), to(rgba(0, 0, 0, 0.5)));
+  background-image: linear-gradient(to right, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
+  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#00000000', endColorstr='#80000000', GradientType=1);
+  background-repeat: repeat-x;
+}
+.carousel-control:hover,
+.carousel-control:focus {
+  color: #fff;
+  text-decoration: none;
+  outline: 0;
+  filter: alpha(opacity=90);
+  opacity: 0.9;
+}
+.carousel-control .icon-prev,
+.carousel-control .icon-next,
+.carousel-control .glyphicon-chevron-left,
+.carousel-control .glyphicon-chevron-right {
+  position: absolute;
+  top: 50%;
+  z-index: 5;
+  display: inline-block;
+  margin-top: -10px;
+}
+.carousel-control .icon-prev,
+.carousel-control .glyphicon-chevron-left {
+  left: 50%;
+  margin-left: -10px;
+}
+.carousel-control .icon-next,
+.carousel-control .glyphicon-chevron-right {
+  right: 50%;
+  margin-right: -10px;
+}
+.carousel-control .icon-prev,
+.carousel-control .icon-next {
+  width: 20px;
+  height: 20px;
+  font-family: serif;
+  line-height: 1;
+}
+.carousel-control .icon-prev:before {
+  content: "\2039";
+}
+.carousel-control .icon-next:before {
+  content: "\203a";
+}
+.carousel-indicators {
+  position: absolute;
+  bottom: 10px;
+  left: 50%;
+  z-index: 15;
+  width: 60%;
+  padding-left: 0;
+  margin-left: -30%;
+  text-align: center;
+  list-style: none;
+}
+.carousel-indicators li {
+  display: inline-block;
+  width: 10px;
+  height: 10px;
+  margin: 1px;
+  text-indent: -999px;
+  cursor: pointer;
+  background-color: #000 \9;
+  background-color: rgba(0, 0, 0, 0);
+  border: 1px solid #fff;
+  border-radius: 10px;
+}
+.carousel-indicators .active {
+  width: 12px;
+  height: 12px;
+  margin: 0;
+  background-color: #fff;
+}
+.carousel-caption {
+  position: absolute;
+  right: 15%;
+  bottom: 20px;
+  left: 15%;
+  z-index: 10;
+  padding-top: 20px;
+  padding-bottom: 20px;
+  color: #fff;
+  text-align: center;
+  text-shadow: 0 1px 2px rgba(0, 0, 0, 0.6);
+}
+.carousel-caption .btn {
+  text-shadow: none;
+}
+@media screen and (min-width: 768px) {
+  .carousel-control .glyphicon-chevron-left,
+  .carousel-control .glyphicon-chevron-right,
+  .carousel-control .icon-prev,
+  .carousel-control .icon-next {
+    width: 30px;
+    height: 30px;
+    margin-top: -10px;
+    font-size: 30px;
+  }
+  .carousel-control .glyphicon-chevron-left,
+  .carousel-control .icon-prev {
+    margin-left: -10px;
+  }
+  .carousel-control .glyphicon-chevron-right,
+  .carousel-control .icon-next {
+    margin-right: -10px;
+  }
+  .carousel-caption {
+    right: 20%;
+    left: 20%;
+    padding-bottom: 30px;
+  }
+  .carousel-indicators {
+    bottom: 20px;
+  }
+}
+.clearfix:before,
+.clearfix:after,
+.dl-horizontal dd:before,
+.dl-horizontal dd:after,
+.container:before,
+.container:after,
+.container-fluid:before,
+.container-fluid:after,
+.row:before,
+.row:after,
+.form-horizontal .form-group:before,
+.form-horizontal .form-group:after,
+.btn-toolbar:before,
+.btn-toolbar:after,
+.btn-group-vertical > .btn-group:before,
+.btn-group-vertical > .btn-group:after,
+.nav:before,
+.nav:after,
+.navbar:before,
+.navbar:after,
+.navbar-header:before,
+.navbar-header:after,
+.navbar-collapse:before,
+.navbar-collapse:after,
+.pager:before,
+.pager:after,
+.panel-body:before,
+.panel-body:after,
+.modal-header:before,
+.modal-header:after,
+.modal-footer:before,
+.modal-footer:after {
+  display: table;
+  content: " ";
+}
+.clearfix:after,
+.dl-horizontal dd:after,
+.container:after,
+.container-fluid:after,
+.row:after,
+.form-horizontal .form-group:after,
+.btn-toolbar:after,
+.btn-group-vertical > .btn-group:after,
+.nav:after,
+.navbar:after,
+.navbar-header:after,
+.navbar-collapse:after,
+.pager:after,
+.panel-body:after,
+.modal-header:after,
+.modal-footer:after {
+  clear: both;
+}
+.center-block {
+  display: block;
+  margin-right: auto;
+  margin-left: auto;
+}
+.pull-right {
+  float: right !important;
+}
+.pull-left {
+  float: left !important;
+}
+.hide {
+  display: none !important;
+}
+.show {
+  display: block !important;
+}
+.invisible {
+  visibility: hidden;
+}
+.text-hide {
+  font: 0/0 a;
+  color: transparent;
+  text-shadow: none;
+  background-color: transparent;
+  border: 0;
+}
+.hidden {
+  display: none !important;
+}
+.affix {
+  position: fixed;
+}
+@-ms-viewport {
+  width: device-width;
+}
+.visible-xs,
+.visible-sm,
+.visible-md,
+.visible-lg {
+  display: none !important;
+}
+.visible-xs-block,
+.visible-xs-inline,
+.visible-xs-inline-block,
+.visible-sm-block,
+.visible-sm-inline,
+.visible-sm-inline-block,
+.visible-md-block,
+.visible-md-inline,
+.visible-md-inline-block,
+.visible-lg-block,
+.visible-lg-inline,
+.visible-lg-inline-block {
+  display: none !important;
+}
+@media (max-width: 767px) {
+  .visible-xs {
+    display: block !important;
+  }
+  table.visible-xs {
+    display: table !important;
+  }
+  tr.visible-xs {
+    display: table-row !important;
+  }
+  th.visible-xs,
+  td.visible-xs {
+    display: table-cell !important;
+  }
+}
+@media (max-width: 767px) {
+  .visible-xs-block {
+    display: block !important;
+  }
+}
+@media (max-width: 767px) {
+  .visible-xs-inline {
+    display: inline !important;
+  }
+}
+@media (max-width: 767px) {
+  .visible-xs-inline-block {
+    display: inline-block !important;
+  }
+}
+@media (min-width: 768px) and (max-width: 991px) {
+  .visible-sm {
+    display: block !important;
+  }
+  table.visible-sm {
+    display: table !important;
+  }
+  tr.visible-sm {
+    display: table-row !important;
+  }
+  th.visible-sm,
+  td.visible-sm {
+    display: table-cell !important;
+  }
+}
+@media (min-width: 768px) and (max-width: 991px) {
+  .visible-sm-block {
+    display: block !important;
+  }
+}
+@media (min-width: 768px) and (max-width: 991px) {
+  .visible-sm-inline {
+    display: inline !important;
+  }
+}
+@media (min-width: 768px) and (max-width: 991px) {
+  .visible-sm-inline-block {
+    display: inline-block !important;
+  }
+}
+@media (min-width: 992px) and (max-width: 1199px) {
+  .visible-md {
+    display: block !important;
+  }
+  table.visible-md {
+    display: table !important;
+  }
+  tr.visible-md {
+    display: table-row !important;
+  }
+  th.visible-md,
+  td.visible-md {
+    display: table-cell !important;
+  }
+}
+@media (min-width: 992px) and (max-width: 1199px) {
+  .visible-md-block {
+    display: block !important;
+  }
+}
+@media (min-width: 992px) and (max-width: 1199px) {
+  .visible-md-inline {
+    display: inline !important;
+  }
+}
+@media (min-width: 992px) and (max-width: 1199px) {
+  .visible-md-inline-block {
+    display: inline-block !important;
+  }
+}
+@media (min-width: 1200px) {
+  .visible-lg {
+    display: block !important;
+  }
+  table.visible-lg {
+    display: table !important;
+  }
+  tr.visible-lg {
+    display: table-row !important;
+  }
+  th.visible-lg,
+  td.visible-lg {
+    display: table-cell !important;
+  }
+}
+@media (min-width: 1200px) {
+  .visible-lg-block {
+    display: block !important;
+  }
+}
+@media (min-width: 1200px) {
+  .visible-lg-inline {
+    display: inline !important;
+  }
+}
+@media (min-width: 1200px) {
+  .visible-lg-inline-block {
+    display: inline-block !important;
+  }
+}
+@media (max-width: 767px) {
+  .hidden-xs {
+    display: none !important;
+  }
+}
+@media (min-width: 768px) and (max-width: 991px) {
+  .hidden-sm {
+    display: none !important;
+  }
+}
+@media (min-width: 992px) and (max-width: 1199px) {
+  .hidden-md {
+    display: none !important;
+  }
+}
+@media (min-width: 1200px) {
+  .hidden-lg {
+    display: none !important;
+  }
+}
+.visible-print {
+  display: none !important;
+}
+@media print {
+  .visible-print {
+    display: block !important;
+  }
+  table.visible-print {
+    display: table !important;
+  }
+  tr.visible-print {
+    display: table-row !important;
+  }
+  th.visible-print,
+  td.visible-print {
+    display: table-cell !important;
+  }
+}
+.visible-print-block {
+  display: none !important;
+}
+@media print {
+  .visible-print-block {
+    display: block !important;
+  }
+}
+.visible-print-inline {
+  display: none !important;
+}
+@media print {
+  .visible-print-inline {
+    display: inline !important;
+  }
+}
+.visible-print-inline-block {
+  display: none !important;
+}
+@media print {
+  .visible-print-inline-block {
+    display: inline-block !important;
+  }
+}
+@media print {
+  .hidden-print {
+    display: none !important;
+  }
+}
+/*# sourceMappingURL=bootstrap.css.map */
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_static/bootstrap-3.4.1/css/bootstrap.css.map b/trackpy/v0.6.2/_static/bootstrap-3.4.1/css/bootstrap.css.map
new file mode 100644
index 00000000..caac3e61
--- /dev/null
+++ b/trackpy/v0.6.2/_static/bootstrap-3.4.1/css/bootstrap.css.map
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2em;\n  margin: 0.67em 0;\n}\nmark {\n  background: #ff0;\n  color: #000;\n}\nsmall {\n  font-size: 80%;\n}\nsub,\nsup {\n  font-size: 75%;\n  line-height: 0;\n  position: relative;\n  vertical-align: baseline;\n}\nsup {\n  top: -0.5em;\n}\nsub {\n  bottom: -0.25em;\n}\nimg {\n  border: 0;\n}\nsvg:not(:root) {\n  overflow: hidden;\n}\nfigure {\n  margin: 1em 40px;\n}\nhr {\n  box-sizing: content-box;\n  height: 0;\n}\npre {\n  overflow: auto;\n}\ncode,\nkbd,\npre,\nsamp {\n  font-family: monospace, monospace;\n  font-size: 1em;\n}\nbutton,\ninput,\noptgroup,\nselect,\ntextarea {\n  color: inherit;\n  font: inherit;\n  margin: 0;\n}\nbutton {\n  overflow: visible;\n}\nbutton,\nselect {\n  text-transform: none;\n}\nbutton,\nhtml input[type=\"button\"],\ninput[type=\"reset\"],\ninput[type=\"submit\"] {\n  -webkit-appearance: button;\n  cursor: pointer;\n}\nbutton[disabled],\nhtml input[disabled] {\n  cursor: default;\n}\nbutton::-moz-focus-inner,\ninput::-moz-focus-inner {\n  border: 0;\n  padding: 0;\n}\ninput {\n  line-height: normal;\n}\ninput[type=\"checkbox\"],\ninput[type=\"radio\"] {\n  box-sizing: border-box;\n  padding: 0;\n}\ninput[type=\"number\"]::-webkit-inner-spin-button,\ninput[type=\"number\"]::-webkit-outer-spin-button {\n  height: auto;\n}\ninput[type=\"search\"] {\n  -webkit-appearance: textfield;\n  box-sizing: content-box;\n}\ninput[type=\"search\"]::-webkit-search-cancel-button,\ninput[type=\"search\"]::-webkit-search-decoration {\n  -webkit-appearance: none;\n}\nfieldset {\n  border: 1px solid #c0c0c0;\n  margin: 0 2px;\n  padding: 0.35em 0.625em 0.75em;\n}\nlegend {\n  border: 0;\n  padding: 0;\n}\ntextarea {\n  overflow: auto;\n}\noptgroup {\n  font-weight: bold;\n}\ntable {\n  border-collapse: collapse;\n  border-spacing: 0;\n}\ntd,\nth {\n  padding: 0;\n}\n/*! Source: https://github.com/h5bp/html5-boilerplate/blob/master/src/css/main.css */\n@media print {\n  *,\n  *:before,\n  *:after {\n    color: #000 !important;\n    text-shadow: none !important;\n    background: transparent !important;\n    box-shadow: none !important;\n  }\n  a,\n  a:visited {\n    text-decoration: underline;\n  }\n  a[href]:after {\n    content: \" (\" attr(href) \")\";\n  }\n  abbr[title]:after {\n    content: \" (\" attr(title) \")\";\n  }\n  a[href^=\"#\"]:after,\n  a[href^=\"javascript:\"]:after {\n    content: \"\";\n  }\n  pre,\n  blockquote {\n    border: 1px solid #999;\n    page-break-inside: avoid;\n  }\n  thead {\n    display: table-header-group;\n  }\n  tr,\n  img {\n    page-break-inside: avoid;\n  }\n  img {\n    max-width: 100% !important;\n  }\n  p,\n  h2,\n  h3 {\n    orphans: 3;\n    widows: 3;\n  }\n  h2,\n  h3 {\n    page-break-after: avoid;\n  }\n  .navbar {\n    display: none;\n  }\n  .btn > .caret,\n  .dropup > .btn > .caret {\n    border-top-color: #000 !important;\n  }\n  .label {\n    border: 1px solid #000;\n  }\n  .table {\n    border-collapse: collapse !important;\n  }\n  .table td,\n  .table th {\n    background-color: #fff !important;\n  }\n  .table-bordered th,\n  .table-bordered td {\n    border: 1px solid #ddd !important;\n  }\n}\n@font-face {\n  font-family: \"Glyphicons Halflings\";\n  src: url(\"../fonts/glyphicons-halflings-regular.eot\");\n  src: url(\"../fonts/glyphicons-halflings-regular.eot?#iefix\") format(\"embedded-opentype\"), url(\"../fonts/glyphicons-halflings-regular.woff2\") format(\"woff2\"), url(\"../fonts/glyphicons-halflings-regular.woff\") format(\"woff\"), url(\"../fonts/glyphicons-halflings-regular.ttf\") format(\"truetype\"), url(\"../fonts/glyphicons-halflings-regular.svg#glyphicons_halflingsregular\") format(\"svg\");\n}\n.glyphicon {\n  position: relative;\n  top: 1px;\n  display: inline-block;\n  font-family: \"Glyphicons Halflings\";\n  font-style: normal;\n  font-weight: 400;\n  line-height: 1;\n  -webkit-font-smoothing: antialiased;\n  -moz-osx-font-smoothing: grayscale;\n}\n.glyphicon-asterisk:before {\n  content: \"\\002a\";\n}\n.glyphicon-plus:before {\n  content: \"\\002b\";\n}\n.glyphicon-euro:before,\n.glyphicon-eur:before {\n  content: \"\\20ac\";\n}\n.glyphicon-minus:before {\n  content: \"\\2212\";\n}\n.glyphicon-cloud:before {\n  content: \"\\2601\";\n}\n.glyphicon-envelope:before {\n  content: \"\\2709\";\n}\n.glyphicon-pencil:before {\n  content: \"\\270f\";\n}\n.glyphicon-glass:before {\n  content: \"\\e001\";\n}\n.glyphicon-music:before {\n  content: \"\\e002\";\n}\n.glyphicon-search:before {\n  content: \"\\e003\";\n}\n.glyphicon-heart:before {\n  content: \"\\e005\";\n}\n.glyphicon-star:before {\n  content: \"\\e006\";\n}\n.glyphicon-star-empty:before {\n  content: \"\\e007\";\n}\n.glyphicon-user:before {\n  content: \"\\e008\";\n}\n.glyphicon-film:before {\n  content: \"\\e009\";\n}\n.glyphicon-th-large:before {\n  content: \"\\e010\";\n}\n.glyphicon-th:before {\n  content: \"\\e011\";\n}\n.glyphicon-th-list:before {\n  content: \"\\e012\";\n}\n.glyphicon-ok:before {\n  content: \"\\e013\";\n}\n.glyphicon-remove:before {\n  content: \"\\e014\";\n}\n.glyphicon-zoom-in:before {\n  content: \"\\e015\";\n}\n.glyphicon-zoom-out:before {\n  content: \"\\e016\";\n}\n.glyphicon-off:before {\n  content: \"\\e017\";\n}\n.glyphicon-signal:before {\n  content: \"\\e018\";\n}\n.glyphicon-cog:before {\n  content: \"\\e019\";\n}\n.glyphicon-trash:before {\n  content: \"\\e020\";\n}\n.glyphicon-home:before {\n  content: \"\\e021\";\n}\n.glyphicon-file:before {\n  content: \"\\e022\";\n}\n.glyphicon-time:before {\n  content: \"\\e023\";\n}\n.glyphicon-road:before {\n  content: \"\\e024\";\n}\n.glyphicon-download-alt:before {\n  content: \"\\e025\";\n}\n.glyphicon-download:before {\n  content: \"\\e026\";\n}\n.glyphicon-upload:before {\n  content: \"\\e027\";\n}\n.glyphicon-inbox:before {\n  content: \"\\e028\";\n}\n.glyphicon-play-circle:before {\n  content: \"\\e029\";\n}\n.glyphicon-repeat:before {\n  content: \"\\e030\";\n}\n.glyphicon-refresh:before {\n  content: \"\\e031\";\n}\n.glyphicon-list-alt:before {\n  content: \"\\e032\";\n}\n.glyphicon-lock:before {\n  content: \"\\e033\";\n}\n.glyphicon-flag:before {\n  content: \"\\e034\";\n}\n.glyphicon-headphones:before {\n  content: \"\\e035\";\n}\n.glyphicon-volume-off:before {\n  content: \"\\e036\";\n}\n.glyphicon-volume-down:before {\n  content: \"\\e037\";\n}\n.glyphicon-volume-up:before {\n  content: \"\\e038\";\n}\n.glyphicon-qrcode:before {\n  content: \"\\e039\";\n}\n.glyphicon-barcode:before {\n  content: \"\\e040\";\n}\n.glyphicon-tag:before {\n  content: \"\\e041\";\n}\n.glyphicon-tags:before {\n  content: \"\\e042\";\n}\n.glyphicon-book:before {\n  content: \"\\e043\";\n}\n.glyphicon-bookmark:before {\n  content: \"\\e044\";\n}\n.glyphicon-print:before {\n  content: \"\\e045\";\n}\n.glyphicon-camera:before {\n  content: \"\\e046\";\n}\n.glyphicon-font:before {\n  content: \"\\e047\";\n}\n.glyphicon-bold:before {\n  content: \"\\e048\";\n}\n.glyphicon-italic:before {\n  content: \"\\e049\";\n}\n.glyphicon-text-height:before {\n  content: \"\\e050\";\n}\n.glyphicon-text-width:before {\n  content: \"\\e051\";\n}\n.glyphicon-align-left:before {\n  content: \"\\e052\";\n}\n.glyphicon-align-center:before {\n  content: \"\\e053\";\n}\n.glyphicon-align-right:before {\n  content: \"\\e054\";\n}\n.glyphicon-align-justify:before {\n  content: \"\\e055\";\n}\n.glyphicon-list:before {\n  content: \"\\e056\";\n}\n.glyphicon-indent-left:before {\n  content: \"\\e057\";\n}\n.glyphicon-indent-right:before {\n  content: \"\\e058\";\n}\n.glyphicon-facetime-video:before {\n  content: \"\\e059\";\n}\n.glyphicon-picture:before {\n  content: \"\\e060\";\n}\n.glyphicon-map-marker:before {\n  content: \"\\e062\";\n}\n.glyphicon-adjust:before {\n  content: \"\\e063\";\n}\n.glyphicon-tint:before {\n  content: \"\\e064\";\n}\n.glyphicon-edit:before {\n  content: \"\\e065\";\n}\n.glyphicon-share:before {\n  content: \"\\e066\";\n}\n.glyphicon-check:before {\n  content: \"\\e067\";\n}\n.glyphicon-move:before {\n  content: \"\\e068\";\n}\n.glyphicon-step-backward:before {\n  content: \"\\e069\";\n}\n.glyphicon-fast-backward:before {\n  content: \"\\e070\";\n}\n.glyphicon-backward:before {\n  content: \"\\e071\";\n}\n.glyphicon-play:before {\n  content: \"\\e072\";\n}\n.glyphicon-pause:before {\n  content: \"\\e073\";\n}\n.glyphicon-stop:before {\n  content: \"\\e074\";\n}\n.glyphicon-forward:before {\n  content: \"\\e075\";\n}\n.glyphicon-fast-forward:before {\n  content: \"\\e076\";\n}\n.glyphicon-step-forward:before {\n  content: \"\\e077\";\n}\n.glyphicon-eject:before {\n  content: \"\\e078\";\n}\n.glyphicon-chevron-left:before {\n  content: \"\\e079\";\n}\n.glyphicon-chevron-right:before {\n  content: \"\\e080\";\n}\n.glyphicon-plus-sign:before {\n  content: \"\\e081\";\n}\n.glyphicon-minus-sign:before {\n  content: \"\\e082\";\n}\n.glyphicon-remove-sign:before {\n  content: \"\\e083\";\n}\n.glyphicon-ok-sign:before {\n  content: \"\\e084\";\n}\n.glyphicon-question-sign:before {\n  content: \"\\e085\";\n}\n.glyphicon-info-sign:before {\n  content: \"\\e086\";\n}\n.glyphicon-screenshot:before {\n  content: \"\\e087\";\n}\n.glyphicon-remove-circle:before {\n  content: \"\\e088\";\n}\n.glyphicon-ok-circle:before {\n  content: \"\\e089\";\n}\n.glyphicon-ban-circle:before {\n  content: \"\\e090\";\n}\n.glyphicon-arrow-left:before {\n  content: \"\\e091\";\n}\n.glyphicon-arrow-right:before {\n  content: \"\\e092\";\n}\n.glyphicon-arrow-up:before {\n  content: \"\\e093\";\n}\n.glyphicon-arrow-down:before {\n  content: \"\\e094\";\n}\n.glyphicon-share-alt:before {\n  content: \"\\e095\";\n}\n.glyphicon-resize-full:before {\n  content: \"\\e096\";\n}\n.glyphicon-resize-small:before {\n  content: \"\\e097\";\n}\n.glyphicon-exclamation-sign:before {\n  content: \"\\e101\";\n}\n.glyphicon-gift:before {\n  content: \"\\e102\";\n}\n.glyphicon-leaf:before {\n  content: \"\\e103\";\n}\n.glyphicon-fire:before {\n  content: \"\\e104\";\n}\n.glyphicon-eye-open:before {\n  content: \"\\e105\";\n}\n.glyphicon-eye-close:before {\n  content: \"\\e106\";\n}\n.glyphicon-warning-sign:before {\n  content: \"\\e107\";\n}\n.glyphicon-plane:before {\n  content: \"\\e108\";\n}\n.glyphicon-calendar:before {\n  content: \"\\e109\";\n}\n.glyphicon-random:before {\n  content: \"\\e110\";\n}\n.glyphicon-comment:before {\n  content: \"\\e111\";\n}\n.glyphicon-magnet:before {\n  content: \"\\e112\";\n}\n.glyphicon-chevron-up:before {\n  content: \"\\e113\";\n}\n.glyphicon-chevron-down:before {\n  content: \"\\e114\";\n}\n.glyphicon-retweet:before {\n  content: \"\\e115\";\n}\n.glyphicon-shopping-cart:before {\n  content: \"\\e116\";\n}\n.glyphicon-folder-close:before {\n  content: \"\\e117\";\n}\n.glyphicon-folder-open:before {\n  content: \"\\e118\";\n}\n.glyphicon-resize-vertical:before {\n  content: \"\\e119\";\n}\n.glyphicon-resize-horizontal:before {\n  content: \"\\e120\";\n}\n.glyphicon-hdd:before {\n  content: \"\\e121\";\n}\n.glyphicon-bullhorn:before {\n  content: \"\\e122\";\n}\n.glyphicon-bell:before {\n  content: \"\\e123\";\n}\n.glyphicon-certificate:before {\n  content: \"\\e124\";\n}\n.glyphicon-thumbs-up:before {\n  content: \"\\e125\";\n}\n.glyphicon-thumbs-down:before {\n  content: \"\\e126\";\n}\n.glyphicon-hand-right:before {\n  content: \"\\e127\";\n}\n.glyphicon-hand-left:before {\n  content: \"\\e128\";\n}\n.glyphicon-hand-up:before {\n  content: \"\\e129\";\n}\n.glyphicon-hand-down:before {\n  content: \"\\e130\";\n}\n.glyphicon-circle-arrow-right:before {\n  content: \"\\e131\";\n}\n.glyphicon-circle-arrow-left:before {\n  content: \"\\e132\";\n}\n.glyphicon-circle-arrow-up:before {\n  content: \"\\e133\";\n}\n.glyphicon-circle-arrow-down:before {\n  content: \"\\e134\";\n}\n.glyphicon-globe:before {\n  content: \"\\e135\";\n}\n.glyphicon-wrench:before {\n  content: \"\\e136\";\n}\n.glyphicon-tasks:before {\n  content: \"\\e137\";\n}\n.glyphicon-filter:before {\n  content: \"\\e138\";\n}\n.glyphicon-briefcase:before {\n  content: \"\\e139\";\n}\n.glyphicon-fullscreen:before {\n  content: \"\\e140\";\n}\n.glyphicon-dashboard:before {\n  content: \"\\e141\";\n}\n.glyphicon-paperclip:before {\n  content: \"\\e142\";\n}\n.glyphicon-heart-empty:before {\n  content: \"\\e143\";\n}\n.glyphicon-link:before {\n  content: \"\\e144\";\n}\n.glyphicon-phone:before {\n  content: \"\\e145\";\n}\n.glyphicon-pushpin:before {\n  content: \"\\e146\";\n}\n.glyphicon-usd:before {\n  content: \"\\e148\";\n}\n.glyphicon-gbp:before {\n  content: \"\\e149\";\n}\n.glyphicon-sort:before {\n  content: \"\\e150\";\n}\n.glyphicon-sort-by-alphabet:before {\n  content: \"\\e151\";\n}\n.glyphicon-sort-by-alphabet-alt:before {\n  content: \"\\e152\";\n}\n.glyphicon-sort-by-order:before {\n  content: \"\\e153\";\n}\n.glyphicon-sort-by-order-alt:before {\n  content: \"\\e154\";\n}\n.glyphicon-sort-by-attributes:before {\n  content: \"\\e155\";\n}\n.glyphicon-sort-by-attributes-alt:before {\n  content: \"\\e156\";\n}\n.glyphicon-unchecked:before {\n  content: \"\\e157\";\n}\n.glyphicon-expand:before {\n  content: \"\\e158\";\n}\n.glyphicon-collapse-down:before {\n  content: \"\\e159\";\n}\n.glyphicon-collapse-up:before {\n  content: \"\\e160\";\n}\n.glyphicon-log-in:before {\n  content: \"\\e161\";\n}\n.glyphicon-flash:before {\n  content: \"\\e162\";\n}\n.glyphicon-log-out:before {\n  content: \"\\e163\";\n}\n.glyphicon-new-window:before {\n  content: \"\\e164\";\n}\n.glyphicon-record:before {\n  content: \"\\e165\";\n}\n.glyphicon-save:before {\n  content: \"\\e166\";\n}\n.glyphicon-open:before {\n  content: \"\\e167\";\n}\n.glyphicon-saved:before {\n  content: \"\\e168\";\n}\n.glyphicon-import:before {\n  content: \"\\e169\";\n}\n.glyphicon-export:before {\n  content: \"\\e170\";\n}\n.glyphicon-send:before {\n  content: \"\\e171\";\n}\n.glyphicon-floppy-disk:before {\n  content: \"\\e172\";\n}\n.glyphicon-floppy-saved:before {\n  content: \"\\e173\";\n}\n.glyphicon-floppy-remove:before {\n  content: \"\\e174\";\n}\n.glyphicon-floppy-save:before {\n  content: \"\\e175\";\n}\n.glyphicon-floppy-open:before {\n  content: \"\\e176\";\n}\n.glyphicon-credit-card:before {\n  content: \"\\e177\";\n}\n.glyphicon-transfer:before {\n  content: \"\\e178\";\n}\n.glyphicon-cutlery:before {\n  content: \"\\e179\";\n}\n.glyphicon-header:before {\n  content: \"\\e180\";\n}\n.glyphicon-compressed:before {\n  content: \"\\e181\";\n}\n.glyphicon-earphone:before {\n  content: \"\\e182\";\n}\n.glyphicon-phone-alt:before {\n  content: \"\\e183\";\n}\n.glyphicon-tower:before {\n  content: \"\\e184\";\n}\n.glyphicon-stats:before {\n  content: \"\\e185\";\n}\n.glyphicon-sd-video:before {\n  content: \"\\e186\";\n}\n.glyphicon-hd-video:before {\n  content: \"\\e187\";\n}\n.glyphicon-subtitles:before {\n  content: \"\\e188\";\n}\n.glyphicon-sound-stereo:before {\n  content: \"\\e189\";\n}\n.glyphicon-sound-dolby:before {\n  content: \"\\e190\";\n}\n.glyphicon-sound-5-1:before {\n  content: \"\\e191\";\n}\n.glyphicon-sound-6-1:before {\n  content: \"\\e192\";\n}\n.glyphicon-sound-7-1:before {\n  content: \"\\e193\";\n}\n.glyphicon-copyright-mark:before {\n  content: \"\\e194\";\n}\n.glyphicon-registration-mark:before {\n  content: \"\\e195\";\n}\n.glyphicon-cloud-download:before {\n  content: \"\\e197\";\n}\n.glyphicon-cloud-upload:before {\n  content: \"\\e198\";\n}\n.glyphicon-tree-conifer:before {\n  content: \"\\e199\";\n}\n.glyphicon-tree-deciduous:before {\n  content: \"\\e200\";\n}\n.glyphicon-cd:before {\n  content: \"\\e201\";\n}\n.glyphicon-save-file:before {\n  content: \"\\e202\";\n}\n.glyphicon-open-file:before {\n  content: \"\\e203\";\n}\n.glyphicon-level-up:before {\n  content: \"\\e204\";\n}\n.glyphicon-copy:before {\n  content: \"\\e205\";\n}\n.glyphicon-paste:before {\n  content: \"\\e206\";\n}\n.glyphicon-alert:before {\n  content: \"\\e209\";\n}\n.glyphicon-equalizer:before {\n  content: \"\\e210\";\n}\n.glyphicon-king:before {\n  content: \"\\e211\";\n}\n.glyphicon-queen:before {\n  content: \"\\e212\";\n}\n.glyphicon-pawn:before {\n  content: \"\\e213\";\n}\n.glyphicon-bishop:before {\n  content: \"\\e214\";\n}\n.glyphicon-knight:before {\n  content: \"\\e215\";\n}\n.glyphicon-baby-formula:before {\n  content: \"\\e216\";\n}\n.glyphicon-tent:before {\n  content: \"\\26fa\";\n}\n.glyphicon-blackboard:before {\n  content: \"\\e218\";\n}\n.glyphicon-bed:before {\n  content: \"\\e219\";\n}\n.glyphicon-apple:before {\n  content: \"\\f8ff\";\n}\n.glyphicon-erase:before {\n  content: \"\\e221\";\n}\n.glyphicon-hourglass:before {\n  content: \"\\231b\";\n}\n.glyphicon-lamp:before {\n  content: \"\\e223\";\n}\n.glyphicon-duplicate:before {\n  content: \"\\e224\";\n}\n.glyphicon-piggy-bank:before {\n  content: \"\\e225\";\n}\n.glyphicon-scissors:before {\n  content: \"\\e226\";\n}\n.glyphicon-bitcoin:before {\n  content: \"\\e227\";\n}\n.glyphicon-btc:before {\n  content: \"\\e227\";\n}\n.glyphicon-xbt:before {\n  content: \"\\e227\";\n}\n.glyphicon-yen:before {\n  content: \"\\00a5\";\n}\n.glyphicon-jpy:before {\n  content: \"\\00a5\";\n}\n.glyphicon-ruble:before {\n  content: \"\\20bd\";\n}\n.glyphicon-rub:before {\n  content: \"\\20bd\";\n}\n.glyphicon-scale:before {\n  content: \"\\e230\";\n}\n.glyphicon-ice-lolly:before {\n  content: \"\\e231\";\n}\n.glyphicon-ice-lolly-tasted:before {\n  content: \"\\e232\";\n}\n.glyphicon-education:before {\n  content: \"\\e233\";\n}\n.glyphicon-option-horizontal:before {\n  content: \"\\e234\";\n}\n.glyphicon-option-vertical:before {\n  content: \"\\e235\";\n}\n.glyphicon-menu-hamburger:before {\n  content: \"\\e236\";\n}\n.glyphicon-modal-window:before {\n  content: \"\\e237\";\n}\n.glyphicon-oil:before {\n  content: \"\\e238\";\n}\n.glyphicon-grain:before {\n  content: \"\\e239\";\n}\n.glyphicon-sunglasses:before {\n  content: \"\\e240\";\n}\n.glyphicon-text-size:before {\n  content: \"\\e241\";\n}\n.glyphicon-text-color:before {\n  content: \"\\e242\";\n}\n.glyphicon-text-background:before {\n  content: \"\\e243\";\n}\n.glyphicon-object-align-top:before {\n  content: \"\\e244\";\n}\n.glyphicon-object-align-bottom:before {\n  content: \"\\e245\";\n}\n.glyphicon-object-align-horizontal:before {\n  content: \"\\e246\";\n}\n.glyphicon-object-align-left:before {\n  content: \"\\e247\";\n}\n.glyphicon-object-align-vertical:before {\n  content: \"\\e248\";\n}\n.glyphicon-object-align-right:before {\n  content: \"\\e249\";\n}\n.glyphicon-triangle-right:before {\n  content: \"\\e250\";\n}\n.glyphicon-triangle-left:before {\n  content: \"\\e251\";\n}\n.glyphicon-triangle-bottom:before {\n  content: \"\\e252\";\n}\n.glyphicon-triangle-top:before {\n  content: \"\\e253\";\n}\n.glyphicon-console:before {\n  content: \"\\e254\";\n}\n.glyphicon-superscript:before {\n  content: \"\\e255\";\n}\n.glyphicon-subscript:before {\n  content: \"\\e256\";\n}\n.glyphicon-menu-left:before {\n  content: \"\\e257\";\n}\n.glyphicon-menu-right:before {\n  content: \"\\e258\";\n}\n.glyphicon-menu-down:before {\n  content: \"\\e259\";\n}\n.glyphicon-menu-up:before {\n  content: \"\\e260\";\n}\n* {\n  -webkit-box-sizing: border-box;\n  -moz-box-sizing: border-box;\n  box-sizing: border-box;\n}\n*:before,\n*:after {\n  -webkit-box-sizing: border-box;\n  -moz-box-sizing: border-box;\n  box-sizing: border-box;\n}\nhtml {\n  font-size: 10px;\n  -webkit-tap-highlight-color: rgba(0, 0, 0, 0);\n}\nbody {\n  font-family: \"Helvetica Neue\", Helvetica, Arial, sans-serif;\n  font-size: 14px;\n  line-height: 1.42857143;\n  color: #333333;\n  background-color: #fff;\n}\ninput,\nbutton,\nselect,\ntextarea {\n  font-family: inherit;\n  font-size: inherit;\n  line-height: inherit;\n}\na {\n  color: #337ab7;\n  text-decoration: none;\n}\na:hover,\na:focus {\n  color: #23527c;\n  text-decoration: underline;\n}\na:focus {\n  outline: 5px auto -webkit-focus-ring-color;\n  outline-offset: -2px;\n}\nfigure {\n  margin: 0;\n}\nimg {\n  vertical-align: middle;\n}\n.img-responsive,\n.thumbnail > img,\n.thumbnail a > img,\n.carousel-inner > .item > img,\n.carousel-inner > .item > a > img {\n  display: block;\n  max-width: 100%;\n  height: auto;\n}\n.img-rounded {\n  border-radius: 6px;\n}\n.img-thumbnail {\n  padding: 4px;\n  line-height: 1.42857143;\n  background-color: #fff;\n  border: 1px solid #ddd;\n  border-radius: 4px;\n  -webkit-transition: all 0.2s ease-in-out;\n  -o-transition: all 0.2s ease-in-out;\n  transition: all 0.2s ease-in-out;\n  display: inline-block;\n  max-width: 100%;\n  height: auto;\n}\n.img-circle {\n  border-radius: 50%;\n}\nhr {\n  margin-top: 20px;\n  margin-bottom: 20px;\n  border: 0;\n  border-top: 1px solid #eeeeee;\n}\n.sr-only {\n  position: absolute;\n  width: 1px;\n  height: 1px;\n  padding: 0;\n  margin: -1px;\n  overflow: hidden;\n  clip: rect(0, 0, 0, 0);\n  border: 0;\n}\n.sr-only-focusable:active,\n.sr-only-focusable:focus {\n  position: static;\n  width: auto;\n  height: auto;\n  margin: 0;\n  overflow: visible;\n  clip: auto;\n}\n[role=\"button\"] {\n  cursor: pointer;\n}\nh1,\nh2,\nh3,\nh4,\nh5,\nh6,\n.h1,\n.h2,\n.h3,\n.h4,\n.h5,\n.h6 {\n  font-family: inherit;\n  font-weight: 500;\n  line-height: 1.1;\n  color: inherit;\n}\nh1 small,\nh2 small,\nh3 small,\nh4 small,\nh5 small,\nh6 small,\n.h1 small,\n.h2 small,\n.h3 small,\n.h4 small,\n.h5 small,\n.h6 small,\nh1 .small,\nh2 .small,\nh3 .small,\nh4 .small,\nh5 .small,\nh6 .small,\n.h1 .small,\n.h2 .small,\n.h3 .small,\n.h4 .small,\n.h5 .small,\n.h6 .small {\n  font-weight: 400;\n  line-height: 1;\n  color: #777777;\n}\nh1,\n.h1,\nh2,\n.h2,\nh3,\n.h3 {\n  margin-top: 20px;\n  margin-bottom: 10px;\n}\nh1 small,\n.h1 small,\nh2 small,\n.h2 small,\nh3 small,\n.h3 small,\nh1 .small,\n.h1 .small,\nh2 .small,\n.h2 .small,\nh3 .small,\n.h3 .small {\n  font-size: 65%;\n}\nh4,\n.h4,\nh5,\n.h5,\nh6,\n.h6 {\n  margin-top: 10px;\n  margin-bottom: 10px;\n}\nh4 small,\n.h4 small,\nh5 small,\n.h5 small,\nh6 small,\n.h6 small,\nh4 .small,\n.h4 .small,\nh5 .small,\n.h5 .small,\nh6 .small,\n.h6 .small {\n  font-size: 75%;\n}\nh1,\n.h1 {\n  font-size: 36px;\n}\nh2,\n.h2 {\n  font-size: 30px;\n}\nh3,\n.h3 {\n  font-size: 24px;\n}\nh4,\n.h4 {\n  font-size: 18px;\n}\nh5,\n.h5 {\n  font-size: 14px;\n}\nh6,\n.h6 {\n  font-size: 12px;\n}\np {\n  margin: 0 0 10px;\n}\n.lead {\n  margin-bottom: 20px;\n  font-size: 16px;\n  font-weight: 300;\n  line-height: 1.4;\n}\n@media (min-width: 768px) {\n  .lead {\n    font-size: 21px;\n  }\n}\nsmall,\n.small {\n  font-size: 85%;\n}\nmark,\n.mark {\n  padding: 0.2em;\n  background-color: #fcf8e3;\n}\n.text-left {\n  text-align: left;\n}\n.text-right {\n  text-align: right;\n}\n.text-center {\n  text-align: center;\n}\n.text-justify {\n  text-align: justify;\n}\n.text-nowrap {\n  white-space: nowrap;\n}\n.text-lowercase {\n  text-transform: lowercase;\n}\n.text-uppercase {\n  text-transform: uppercase;\n}\n.text-capitalize {\n  text-transform: capitalize;\n}\n.text-muted {\n  color: #777777;\n}\n.text-primary {\n  color: #337ab7;\n}\na.text-primary:hover,\na.text-primary:focus {\n  color: #286090;\n}\n.text-success {\n  color: #3c763d;\n}\na.text-success:hover,\na.text-success:focus {\n  color: #2b542c;\n}\n.text-info {\n  color: #31708f;\n}\na.text-info:hover,\na.text-info:focus {\n  color: #245269;\n}\n.text-warning {\n  color: #8a6d3b;\n}\na.text-warning:hover,\na.text-warning:focus {\n  color: #66512c;\n}\n.text-danger {\n  color: #a94442;\n}\na.text-danger:hover,\na.text-danger:focus {\n  color: #843534;\n}\n.bg-primary {\n  color: #fff;\n  background-color: #337ab7;\n}\na.bg-primary:hover,\na.bg-primary:focus {\n  background-color: #286090;\n}\n.bg-success {\n  background-color: #dff0d8;\n}\na.bg-success:hover,\na.bg-success:focus {\n  background-color: #c1e2b3;\n}\n.bg-info {\n  background-color: #d9edf7;\n}\na.bg-info:hover,\na.bg-info:focus {\n  background-color: #afd9ee;\n}\n.bg-warning {\n  background-color: #fcf8e3;\n}\na.bg-warning:hover,\na.bg-warning:focus {\n  background-color: #f7ecb5;\n}\n.bg-danger {\n  background-color: #f2dede;\n}\na.bg-danger:hover,\na.bg-danger:focus {\n  background-color: #e4b9b9;\n}\n.page-header {\n  padding-bottom: 9px;\n  margin: 40px 0 20px;\n  border-bottom: 1px solid #eeeeee;\n}\nul,\nol {\n  margin-top: 0;\n  margin-bottom: 10px;\n}\nul ul,\nol ul,\nul ol,\nol ol {\n  margin-bottom: 0;\n}\n.list-unstyled {\n  padding-left: 0;\n  list-style: none;\n}\n.list-inline {\n  padding-left: 0;\n  list-style: none;\n  margin-left: -5px;\n}\n.list-inline > li {\n  display: inline-block;\n  padding-right: 5px;\n  padding-left: 5px;\n}\ndl {\n  margin-top: 0;\n  margin-bottom: 20px;\n}\ndt,\ndd {\n  line-height: 1.42857143;\n}\ndt {\n  font-weight: 700;\n}\ndd {\n  margin-left: 0;\n}\n@media (min-width: 768px) {\n  .dl-horizontal dt {\n    float: left;\n    width: 160px;\n    clear: left;\n    text-align: right;\n    overflow: hidden;\n    text-overflow: ellipsis;\n    white-space: nowrap;\n  }\n  .dl-horizontal dd {\n    margin-left: 180px;\n  }\n}\nabbr[title],\nabbr[data-original-title] {\n  cursor: help;\n}\n.initialism {\n  font-size: 90%;\n  text-transform: uppercase;\n}\nblockquote {\n  padding: 10px 20px;\n  margin: 0 0 20px;\n  font-size: 17.5px;\n  border-left: 5px solid #eeeeee;\n}\nblockquote p:last-child,\nblockquote ul:last-child,\nblockquote ol:last-child {\n  margin-bottom: 0;\n}\nblockquote footer,\nblockquote small,\nblockquote .small {\n  display: block;\n  font-size: 80%;\n  line-height: 1.42857143;\n  color: #777777;\n}\nblockquote footer:before,\nblockquote small:before,\nblockquote .small:before {\n  content: \"\\2014 \\00A0\";\n}\n.blockquote-reverse,\nblockquote.pull-right {\n  padding-right: 15px;\n  padding-left: 0;\n  text-align: right;\n  border-right: 5px solid #eeeeee;\n  border-left: 0;\n}\n.blockquote-reverse footer:before,\nblockquote.pull-right footer:before,\n.blockquote-reverse small:before,\nblockquote.pull-right small:before,\n.blockquote-reverse .small:before,\nblockquote.pull-right .small:before {\n  content: \"\";\n}\n.blockquote-reverse footer:after,\nblockquote.pull-right footer:after,\n.blockquote-reverse small:after,\nblockquote.pull-right small:after,\n.blockquote-reverse .small:after,\nblockquote.pull-right .small:after {\n  content: \"\\00A0 \\2014\";\n}\naddress {\n  margin-bottom: 20px;\n  font-style: normal;\n  line-height: 1.42857143;\n}\ncode,\nkbd,\npre,\nsamp {\n  font-family: Menlo, Monaco, Consolas, \"Courier New\", monospace;\n}\ncode {\n  padding: 2px 4px;\n  font-size: 90%;\n  color: #c7254e;\n  background-color: #f9f2f4;\n  border-radius: 4px;\n}\nkbd {\n  padding: 2px 4px;\n  font-size: 90%;\n  color: #fff;\n  background-color: #333;\n  border-radius: 3px;\n  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.25);\n}\nkbd kbd {\n  padding: 0;\n  font-size: 100%;\n  font-weight: 700;\n  box-shadow: none;\n}\npre {\n  display: block;\n  padding: 9.5px;\n  margin: 0 0 10px;\n  font-size: 13px;\n  line-height: 1.42857143;\n  color: #333333;\n  word-break: break-all;\n  word-wrap: break-word;\n  background-color: #f5f5f5;\n  border: 1px solid #ccc;\n  border-radius: 4px;\n}\npre code {\n  padding: 0;\n  font-size: inherit;\n  color: inherit;\n  white-space: pre-wrap;\n  background-color: transparent;\n  border-radius: 0;\n}\n.pre-scrollable {\n  max-height: 340px;\n  overflow-y: scroll;\n}\n.container {\n  padding-right: 15px;\n  padding-left: 15px;\n  margin-right: auto;\n  margin-left: auto;\n}\n@media (min-width: 768px) {\n  .container {\n    width: 750px;\n  }\n}\n@media (min-width: 992px) {\n  .container {\n    width: 970px;\n  }\n}\n@media (min-width: 1200px) {\n  .container {\n    width: 1170px;\n  }\n}\n.container-fluid {\n  padding-right: 15px;\n  padding-left: 15px;\n  margin-right: auto;\n  margin-left: auto;\n}\n.row {\n  margin-right: -15px;\n  margin-left: -15px;\n}\n.row-no-gutters {\n  margin-right: 0;\n  margin-left: 0;\n}\n.row-no-gutters [class*=\"col-\"] {\n  padding-right: 0;\n  padding-left: 0;\n}\n.col-xs-1,\n.col-sm-1,\n.col-md-1,\n.col-lg-1,\n.col-xs-2,\n.col-sm-2,\n.col-md-2,\n.col-lg-2,\n.col-xs-3,\n.col-sm-3,\n.col-md-3,\n.col-lg-3,\n.col-xs-4,\n.col-sm-4,\n.col-md-4,\n.col-lg-4,\n.col-xs-5,\n.col-sm-5,\n.col-md-5,\n.col-lg-5,\n.col-xs-6,\n.col-sm-6,\n.col-md-6,\n.col-lg-6,\n.col-xs-7,\n.col-sm-7,\n.col-md-7,\n.col-lg-7,\n.col-xs-8,\n.col-sm-8,\n.col-md-8,\n.col-lg-8,\n.col-xs-9,\n.col-sm-9,\n.col-md-9,\n.col-lg-9,\n.col-xs-10,\n.col-sm-10,\n.col-md-10,\n.col-lg-10,\n.col-xs-11,\n.col-sm-11,\n.col-md-11,\n.col-lg-11,\n.col-xs-12,\n.col-sm-12,\n.col-md-12,\n.col-lg-12 {\n  position: relative;\n  min-height: 1px;\n  padding-right: 15px;\n  padding-left: 15px;\n}\n.col-xs-1,\n.col-xs-2,\n.col-xs-3,\n.col-xs-4,\n.col-xs-5,\n.col-xs-6,\n.col-xs-7,\n.col-xs-8,\n.col-xs-9,\n.col-xs-10,\n.col-xs-11,\n.col-xs-12 {\n  float: left;\n}\n.col-xs-12 {\n  width: 100%;\n}\n.col-xs-11 {\n  width: 91.66666667%;\n}\n.col-xs-10 {\n  width: 83.33333333%;\n}\n.col-xs-9 {\n  width: 75%;\n}\n.col-xs-8 {\n  width: 66.66666667%;\n}\n.col-xs-7 {\n  width: 58.33333333%;\n}\n.col-xs-6 {\n  width: 50%;\n}\n.col-xs-5 {\n  width: 41.66666667%;\n}\n.col-xs-4 {\n  width: 33.33333333%;\n}\n.col-xs-3 {\n  width: 25%;\n}\n.col-xs-2 {\n  width: 16.66666667%;\n}\n.col-xs-1 {\n  width: 8.33333333%;\n}\n.col-xs-pull-12 {\n  right: 100%;\n}\n.col-xs-pull-11 {\n  right: 91.66666667%;\n}\n.col-xs-pull-10 {\n  right: 83.33333333%;\n}\n.col-xs-pull-9 {\n  right: 75%;\n}\n.col-xs-pull-8 {\n  right: 66.66666667%;\n}\n.col-xs-pull-7 {\n  right: 58.33333333%;\n}\n.col-xs-pull-6 {\n  right: 50%;\n}\n.col-xs-pull-5 {\n  right: 41.66666667%;\n}\n.col-xs-pull-4 {\n  right: 33.33333333%;\n}\n.col-xs-pull-3 {\n  right: 25%;\n}\n.col-xs-pull-2 {\n  right: 16.66666667%;\n}\n.col-xs-pull-1 {\n  right: 8.33333333%;\n}\n.col-xs-pull-0 {\n  right: auto;\n}\n.col-xs-push-12 {\n  left: 100%;\n}\n.col-xs-push-11 {\n  left: 91.66666667%;\n}\n.col-xs-push-10 {\n  left: 83.33333333%;\n}\n.col-xs-push-9 {\n  left: 75%;\n}\n.col-xs-push-8 {\n  left: 66.66666667%;\n}\n.col-xs-push-7 {\n  left: 58.33333333%;\n}\n.col-xs-push-6 {\n  left: 50%;\n}\n.col-xs-push-5 {\n  left: 41.66666667%;\n}\n.col-xs-push-4 {\n  left: 33.33333333%;\n}\n.col-xs-push-3 {\n  left: 25%;\n}\n.col-xs-push-2 {\n  left: 16.66666667%;\n}\n.col-xs-push-1 {\n  left: 8.33333333%;\n}\n.col-xs-push-0 {\n  left: auto;\n}\n.col-xs-offset-12 {\n  margin-left: 100%;\n}\n.col-xs-offset-11 {\n  margin-left: 91.66666667%;\n}\n.col-xs-offset-10 {\n  margin-left: 83.33333333%;\n}\n.col-xs-offset-9 {\n  margin-left: 75%;\n}\n.col-xs-offset-8 {\n  margin-left: 66.66666667%;\n}\n.col-xs-offset-7 {\n  margin-left: 58.33333333%;\n}\n.col-xs-offset-6 {\n  margin-left: 50%;\n}\n.col-xs-offset-5 {\n  margin-left: 41.66666667%;\n}\n.col-xs-offset-4 {\n  margin-left: 33.33333333%;\n}\n.col-xs-offset-3 {\n  margin-left: 25%;\n}\n.col-xs-offset-2 {\n  margin-left: 16.66666667%;\n}\n.col-xs-offset-1 {\n  margin-left: 8.33333333%;\n}\n.col-xs-offset-0 {\n  margin-left: 0%;\n}\n@media (min-width: 768px) {\n  .col-sm-1,\n  .col-sm-2,\n  .col-sm-3,\n  .col-sm-4,\n  .col-sm-5,\n  .col-sm-6,\n  .col-sm-7,\n  .col-sm-8,\n  .col-sm-9,\n  .col-sm-10,\n  .col-sm-11,\n  .col-sm-12 {\n    float: left;\n  }\n  .col-sm-12 {\n    width: 100%;\n  }\n  .col-sm-11 {\n    width: 91.66666667%;\n  }\n  .col-sm-10 {\n    width: 83.33333333%;\n  }\n  .col-sm-9 {\n    width: 75%;\n  }\n  .col-sm-8 {\n    width: 66.66666667%;\n  }\n  .col-sm-7 {\n    width: 58.33333333%;\n  }\n  .col-sm-6 {\n    width: 50%;\n  }\n  .col-sm-5 {\n    width: 41.66666667%;\n  }\n  .col-sm-4 {\n    width: 33.33333333%;\n  }\n  .col-sm-3 {\n    width: 25%;\n  }\n  .col-sm-2 {\n    width: 16.66666667%;\n  }\n  .col-sm-1 {\n    width: 8.33333333%;\n  }\n  .col-sm-pull-12 {\n    right: 100%;\n  }\n  .col-sm-pull-11 {\n    right: 91.66666667%;\n  }\n  .col-sm-pull-10 {\n    right: 83.33333333%;\n  }\n  .col-sm-pull-9 {\n    right: 75%;\n  }\n  .col-sm-pull-8 {\n    right: 66.66666667%;\n  }\n  .col-sm-pull-7 {\n    right: 58.33333333%;\n  }\n  .col-sm-pull-6 {\n    right: 50%;\n  }\n  .col-sm-pull-5 {\n    right: 41.66666667%;\n  }\n  .col-sm-pull-4 {\n    right: 33.33333333%;\n  }\n  .col-sm-pull-3 {\n    right: 25%;\n  }\n  .col-sm-pull-2 {\n    right: 16.66666667%;\n  }\n  .col-sm-pull-1 {\n    right: 8.33333333%;\n  }\n  .col-sm-pull-0 {\n    right: auto;\n  }\n  .col-sm-push-12 {\n    left: 100%;\n  }\n  .col-sm-push-11 {\n    left: 91.66666667%;\n  }\n  .col-sm-push-10 {\n    left: 83.33333333%;\n  }\n  .col-sm-push-9 {\n    left: 75%;\n  }\n  .col-sm-push-8 {\n    left: 66.66666667%;\n  }\n  .col-sm-push-7 {\n    left: 58.33333333%;\n  }\n  .col-sm-push-6 {\n    left: 50%;\n  }\n  .col-sm-push-5 {\n    left: 41.66666667%;\n  }\n  .col-sm-push-4 {\n    left: 33.33333333%;\n  }\n  .col-sm-push-3 {\n    left: 25%;\n  }\n  .col-sm-push-2 {\n    left: 16.66666667%;\n  }\n  .col-sm-push-1 {\n    left: 8.33333333%;\n  }\n  .col-sm-push-0 {\n    left: auto;\n  }\n  .col-sm-offset-12 {\n    margin-left: 100%;\n  }\n  .col-sm-offset-11 {\n    margin-left: 91.66666667%;\n  }\n  .col-sm-offset-10 {\n    margin-left: 83.33333333%;\n  }\n  .col-sm-offset-9 {\n    margin-left: 75%;\n  }\n  .col-sm-offset-8 {\n    margin-left: 66.66666667%;\n  }\n  .col-sm-offset-7 {\n    margin-left: 58.33333333%;\n  }\n  .col-sm-offset-6 {\n    margin-left: 50%;\n  }\n  .col-sm-offset-5 {\n    margin-left: 41.66666667%;\n  }\n  .col-sm-offset-4 {\n    margin-left: 33.33333333%;\n  }\n  .col-sm-offset-3 {\n    margin-left: 25%;\n  }\n  .col-sm-offset-2 {\n    margin-left: 16.66666667%;\n  }\n  .col-sm-offset-1 {\n    margin-left: 8.33333333%;\n  }\n  .col-sm-offset-0 {\n    margin-left: 0%;\n  }\n}\n@media (min-width: 992px) {\n  .col-md-1,\n  .col-md-2,\n  .col-md-3,\n  .col-md-4,\n  .col-md-5,\n  .col-md-6,\n  .col-md-7,\n  .col-md-8,\n  .col-md-9,\n  .col-md-10,\n  .col-md-11,\n  .col-md-12 {\n    float: left;\n  }\n  .col-md-12 {\n    width: 100%;\n  }\n  .col-md-11 {\n    width: 91.66666667%;\n  }\n  .col-md-10 {\n    width: 83.33333333%;\n  }\n  .col-md-9 {\n    width: 75%;\n  }\n  .col-md-8 {\n    width: 66.66666667%;\n  }\n  .col-md-7 {\n    width: 58.33333333%;\n  }\n  .col-md-6 {\n    width: 50%;\n  }\n  .col-md-5 {\n    width: 41.66666667%;\n  }\n  .col-md-4 {\n    width: 33.33333333%;\n  }\n  .col-md-3 {\n    width: 25%;\n  }\n  .col-md-2 {\n    width: 16.66666667%;\n  }\n  .col-md-1 {\n    width: 8.33333333%;\n  }\n  .col-md-pull-12 {\n    right: 100%;\n  }\n  .col-md-pull-11 {\n    right: 91.66666667%;\n  }\n  .col-md-pull-10 {\n    right: 83.33333333%;\n  }\n  .col-md-pull-9 {\n    right: 75%;\n  }\n  .col-md-pull-8 {\n    right: 66.66666667%;\n  }\n  .col-md-pull-7 {\n    right: 58.33333333%;\n  }\n  .col-md-pull-6 {\n    right: 50%;\n  }\n  .col-md-pull-5 {\n    right: 41.66666667%;\n  }\n  .col-md-pull-4 {\n    right: 33.33333333%;\n  }\n  .col-md-pull-3 {\n    right: 25%;\n  }\n  .col-md-pull-2 {\n    right: 16.66666667%;\n  }\n  .col-md-pull-1 {\n    right: 8.33333333%;\n  }\n  .col-md-pull-0 {\n    right: auto;\n  }\n  .col-md-push-12 {\n    left: 100%;\n  }\n  .col-md-push-11 {\n    left: 91.66666667%;\n  }\n  .col-md-push-10 {\n    left: 83.33333333%;\n  }\n  .col-md-push-9 {\n    left: 75%;\n  }\n  .col-md-push-8 {\n    left: 66.66666667%;\n  }\n  .col-md-push-7 {\n    left: 58.33333333%;\n  }\n  .col-md-push-6 {\n    left: 50%;\n  }\n  .col-md-push-5 {\n    left: 41.66666667%;\n  }\n  .col-md-push-4 {\n    left: 33.33333333%;\n  }\n  .col-md-push-3 {\n    left: 25%;\n  }\n  .col-md-push-2 {\n    left: 16.66666667%;\n  }\n  .col-md-push-1 {\n    left: 8.33333333%;\n  }\n  .col-md-push-0 {\n    left: auto;\n  }\n  .col-md-offset-12 {\n    margin-left: 100%;\n  }\n  .col-md-offset-11 {\n    margin-left: 91.66666667%;\n  }\n  .col-md-offset-10 {\n    margin-left: 83.33333333%;\n  }\n  .col-md-offset-9 {\n    margin-left: 75%;\n  }\n  .col-md-offset-8 {\n    margin-left: 66.66666667%;\n  }\n  .col-md-offset-7 {\n    margin-left: 58.33333333%;\n  }\n  .col-md-offset-6 {\n    margin-left: 50%;\n  }\n  .col-md-offset-5 {\n    margin-left: 41.66666667%;\n  }\n  .col-md-offset-4 {\n    margin-left: 33.33333333%;\n  }\n  .col-md-offset-3 {\n    margin-left: 25%;\n  }\n  .col-md-offset-2 {\n    margin-left: 16.66666667%;\n  }\n  .col-md-offset-1 {\n    margin-left: 8.33333333%;\n  }\n  .col-md-offset-0 {\n    margin-left: 0%;\n  }\n}\n@media (min-width: 1200px) {\n  .col-lg-1,\n  .col-lg-2,\n  .col-lg-3,\n  .col-lg-4,\n  .col-lg-5,\n  .col-lg-6,\n  .col-lg-7,\n  .col-lg-8,\n  .col-lg-9,\n  .col-lg-10,\n  .col-lg-11,\n  .col-lg-12 {\n    float: left;\n  }\n  .col-lg-12 {\n    width: 100%;\n  }\n  .col-lg-11 {\n    width: 91.66666667%;\n  }\n  .col-lg-10 {\n    width: 83.33333333%;\n  }\n  .col-lg-9 {\n    width: 75%;\n  }\n  .col-lg-8 {\n    width: 66.66666667%;\n  }\n  .col-lg-7 {\n    width: 58.33333333%;\n  }\n  .col-lg-6 {\n    width: 50%;\n  }\n  .col-lg-5 {\n    width: 41.66666667%;\n  }\n  .col-lg-4 {\n    width: 33.33333333%;\n  }\n  .col-lg-3 {\n    width: 25%;\n  }\n  .col-lg-2 {\n    width: 16.66666667%;\n  }\n  .col-lg-1 {\n    width: 8.33333333%;\n  }\n  .col-lg-pull-12 {\n    right: 100%;\n  }\n  .col-lg-pull-11 {\n    right: 91.66666667%;\n  }\n  .col-lg-pull-10 {\n    right: 83.33333333%;\n  }\n  .col-lg-pull-9 {\n    right: 75%;\n  }\n  .col-lg-pull-8 {\n    right: 66.66666667%;\n  }\n  .col-lg-pull-7 {\n    right: 58.33333333%;\n  }\n  .col-lg-pull-6 {\n    right: 50%;\n  }\n  .col-lg-pull-5 {\n    right: 41.66666667%;\n  }\n  .col-lg-pull-4 {\n    right: 33.33333333%;\n  }\n  .col-lg-pull-3 {\n    right: 25%;\n  }\n  .col-lg-pull-2 {\n    right: 16.66666667%;\n  }\n  .col-lg-pull-1 {\n    right: 8.33333333%;\n  }\n  .col-lg-pull-0 {\n    right: auto;\n  }\n  .col-lg-push-12 {\n    left: 100%;\n  }\n  .col-lg-push-11 {\n    left: 91.66666667%;\n  }\n  .col-lg-push-10 {\n    left: 83.33333333%;\n  }\n  .col-lg-push-9 {\n    left: 75%;\n  }\n  .col-lg-push-8 {\n    left: 66.66666667%;\n  }\n  .col-lg-push-7 {\n    left: 58.33333333%;\n  }\n  .col-lg-push-6 {\n    left: 50%;\n  }\n  .col-lg-push-5 {\n    left: 41.66666667%;\n  }\n  .col-lg-push-4 {\n    left: 33.33333333%;\n  }\n  .col-lg-push-3 {\n    left: 25%;\n  }\n  .col-lg-push-2 {\n    left: 16.66666667%;\n  }\n  .col-lg-push-1 {\n    left: 8.33333333%;\n  }\n  .col-lg-push-0 {\n    left: auto;\n  }\n  .col-lg-offset-12 {\n    margin-left: 100%;\n  }\n  .col-lg-offset-11 {\n    margin-left: 91.66666667%;\n  }\n  .col-lg-offset-10 {\n    margin-left: 83.33333333%;\n  }\n  .col-lg-offset-9 {\n    margin-left: 75%;\n  }\n  .col-lg-offset-8 {\n    margin-left: 66.66666667%;\n  }\n  .col-lg-offset-7 {\n    margin-left: 58.33333333%;\n  }\n  .col-lg-offset-6 {\n    margin-left: 50%;\n  }\n  .col-lg-offset-5 {\n    margin-left: 41.66666667%;\n  }\n  .col-lg-offset-4 {\n    margin-left: 33.33333333%;\n  }\n  .col-lg-offset-3 {\n    margin-left: 25%;\n  }\n  .col-lg-offset-2 {\n    margin-left: 16.66666667%;\n  }\n  .col-lg-offset-1 {\n    margin-left: 8.33333333%;\n  }\n  .col-lg-offset-0 {\n    margin-left: 0%;\n  }\n}\ntable {\n  background-color: transparent;\n}\ntable col[class*=\"col-\"] {\n  position: static;\n  display: table-column;\n  float: none;\n}\ntable td[class*=\"col-\"],\ntable th[class*=\"col-\"] {\n  position: static;\n  display: table-cell;\n  float: none;\n}\ncaption {\n  padding-top: 8px;\n  padding-bottom: 8px;\n  color: #777777;\n  text-align: left;\n}\nth {\n  text-align: left;\n}\n.table {\n  width: 100%;\n  max-width: 100%;\n  margin-bottom: 20px;\n}\n.table > thead > tr > th,\n.table > tbody > tr > th,\n.table > tfoot > tr > th,\n.table > thead > tr > td,\n.table > tbody > tr > td,\n.table > tfoot > tr > td {\n  padding: 8px;\n  line-height: 1.42857143;\n  vertical-align: top;\n  border-top: 1px solid #ddd;\n}\n.table > thead > tr > th {\n  vertical-align: bottom;\n  border-bottom: 2px solid #ddd;\n}\n.table > caption + thead > tr:first-child > th,\n.table > colgroup + thead > tr:first-child > th,\n.table > thead:first-child > tr:first-child > th,\n.table > caption + thead > tr:first-child > td,\n.table > colgroup + thead > tr:first-child > td,\n.table > thead:first-child > tr:first-child > td {\n  border-top: 0;\n}\n.table > tbody + tbody {\n  border-top: 2px solid #ddd;\n}\n.table .table {\n  background-color: #fff;\n}\n.table-condensed > thead > tr > th,\n.table-condensed > tbody > tr > th,\n.table-condensed > tfoot > tr > th,\n.table-condensed > thead > tr > td,\n.table-condensed > tbody > tr > td,\n.table-condensed > tfoot > tr > td {\n  padding: 5px;\n}\n.table-bordered {\n  border: 1px solid #ddd;\n}\n.table-bordered > thead > tr > th,\n.table-bordered > tbody > tr > th,\n.table-bordered > tfoot > tr > th,\n.table-bordered > thead > tr > td,\n.table-bordered > tbody > tr > td,\n.table-bordered > tfoot > tr > td {\n  border: 1px solid #ddd;\n}\n.table-bordered > thead > tr > th,\n.table-bordered > thead > tr > td {\n  border-bottom-width: 2px;\n}\n.table-striped > tbody > tr:nth-of-type(odd) {\n  background-color: #f9f9f9;\n}\n.table-hover > tbody > tr:hover {\n  background-color: #f5f5f5;\n}\n.table > thead > tr > td.active,\n.table > tbody > tr > td.active,\n.table > tfoot > tr > td.active,\n.table > thead > tr > th.active,\n.table > tbody > tr > th.active,\n.table > tfoot > tr > th.active,\n.table > thead > tr.active > td,\n.table > tbody > tr.active > td,\n.table > tfoot > tr.active > td,\n.table > thead > tr.active > th,\n.table > tbody > tr.active > th,\n.table > tfoot > tr.active > th {\n  background-color: #f5f5f5;\n}\n.table-hover > tbody > tr > td.active:hover,\n.table-hover > tbody > tr > th.active:hover,\n.table-hover > tbody > tr.active:hover > td,\n.table-hover > tbody > tr:hover > .active,\n.table-hover > tbody > tr.active:hover > th {\n  background-color: #e8e8e8;\n}\n.table > thead > tr > td.success,\n.table > tbody > tr > td.success,\n.table > tfoot > tr > td.success,\n.table > thead > tr > th.success,\n.table > tbody > tr > th.success,\n.table > tfoot > tr > th.success,\n.table > thead > tr.success > td,\n.table > tbody > tr.success > td,\n.table > tfoot > tr.success > td,\n.table > thead > tr.success > th,\n.table > tbody > tr.success > th,\n.table > tfoot > tr.success > th {\n  background-color: #dff0d8;\n}\n.table-hover > tbody > tr > td.success:hover,\n.table-hover > tbody > tr > th.success:hover,\n.table-hover > tbody > tr.success:hover > td,\n.table-hover > tbody > tr:hover > .success,\n.table-hover > tbody > tr.success:hover > th {\n  background-color: #d0e9c6;\n}\n.table > thead > tr > td.info,\n.table > tbody > tr > td.info,\n.table > tfoot > tr > td.info,\n.table > thead > tr > th.info,\n.table > tbody > tr > th.info,\n.table > tfoot > tr > th.info,\n.table > thead > tr.info > td,\n.table > tbody > tr.info > td,\n.table > tfoot > tr.info > td,\n.table > thead > tr.info > th,\n.table > tbody > tr.info > th,\n.table > tfoot > tr.info > th {\n  background-color: #d9edf7;\n}\n.table-hover > tbody > tr > td.info:hover,\n.table-hover > tbody > tr > th.info:hover,\n.table-hover > tbody > tr.info:hover > td,\n.table-hover > tbody > tr:hover > .info,\n.table-hover > tbody > tr.info:hover > th {\n  background-color: #c4e3f3;\n}\n.table > thead > tr > td.warning,\n.table > tbody > tr > td.warning,\n.table > tfoot > tr > td.warning,\n.table > thead > tr > th.warning,\n.table > tbody > tr > th.warning,\n.table > tfoot > tr > th.warning,\n.table > thead > tr.warning > td,\n.table > tbody > tr.warning > td,\n.table > tfoot > tr.warning > td,\n.table > thead > tr.warning > th,\n.table > tbody > tr.warning > th,\n.table > tfoot > tr.warning > th {\n  background-color: #fcf8e3;\n}\n.table-hover > tbody > tr > td.warning:hover,\n.table-hover > tbody > tr > th.warning:hover,\n.table-hover > tbody > tr.warning:hover > td,\n.table-hover > tbody > tr:hover > .warning,\n.table-hover > tbody > tr.warning:hover > th {\n  background-color: #faf2cc;\n}\n.table > thead > tr > td.danger,\n.table > tbody > tr > td.danger,\n.table > tfoot > tr > td.danger,\n.table > thead > tr > th.danger,\n.table > tbody > tr > th.danger,\n.table > tfoot > tr > th.danger,\n.table > thead > tr.danger > td,\n.table > tbody > tr.danger > td,\n.table > tfoot > tr.danger > td,\n.table > thead > tr.danger > th,\n.table > tbody > tr.danger > th,\n.table > tfoot > tr.danger > th {\n  background-color: #f2dede;\n}\n.table-hover > tbody > tr > td.danger:hover,\n.table-hover > tbody > tr > th.danger:hover,\n.table-hover > tbody > tr.danger:hover > td,\n.table-hover > tbody > tr:hover > .danger,\n.table-hover > tbody > tr.danger:hover > th {\n  background-color: #ebcccc;\n}\n.table-responsive {\n  min-height: 0.01%;\n  overflow-x: auto;\n}\n@media screen and (max-width: 767px) {\n  .table-responsive {\n    width: 100%;\n    margin-bottom: 15px;\n    overflow-y: hidden;\n    -ms-overflow-style: -ms-autohiding-scrollbar;\n    border: 1px solid #ddd;\n  }\n  .table-responsive > .table {\n    margin-bottom: 0;\n  }\n  .table-responsive > .table > thead > tr > th,\n  .table-responsive > .table > tbody > tr > th,\n  .table-responsive > .table > tfoot > tr > th,\n  .table-responsive > .table > thead > tr > td,\n  .table-responsive > .table > tbody > tr > td,\n  .table-responsive > .table > tfoot > tr > td {\n    white-space: nowrap;\n  }\n  .table-responsive > .table-bordered {\n    border: 0;\n  }\n  .table-responsive > .table-bordered > thead > tr > th:first-child,\n  .table-responsive > .table-bordered > tbody > tr > th:first-child,\n  .table-responsive > .table-bordered > tfoot > tr > th:first-child,\n  .table-responsive > .table-bordered > thead > tr > td:first-child,\n  .table-responsive > .table-bordered > tbody > tr > td:first-child,\n  .table-responsive > .table-bordered > tfoot > tr > td:first-child {\n    border-left: 0;\n  }\n  .table-responsive > .table-bordered > thead > tr > th:last-child,\n  .table-responsive > .table-bordered > tbody > tr > th:last-child,\n  .table-responsive > .table-bordered > tfoot > tr > th:last-child,\n  .table-responsive > .table-bordered > thead > tr > td:last-child,\n  .table-responsive > .table-bordered > tbody > tr > td:last-child,\n  .table-responsive > .table-bordered > tfoot > tr > td:last-child {\n    border-right: 0;\n  }\n  .table-responsive > .table-bordered > tbody > tr:last-child > th,\n  .table-responsive > .table-bordered > tfoot > tr:last-child > th,\n  .table-responsive > .table-bordered > tbody > tr:last-child > td,\n  .table-responsive > .table-bordered > tfoot > tr:last-child > td {\n    border-bottom: 0;\n  }\n}\nfieldset {\n  min-width: 0;\n  padding: 0;\n  margin: 0;\n  border: 0;\n}\nlegend {\n  display: block;\n  width: 100%;\n  padding: 0;\n  margin-bottom: 20px;\n  font-size: 21px;\n  line-height: inherit;\n  color: #333333;\n  border: 0;\n  border-bottom: 1px solid #e5e5e5;\n}\nlabel {\n  display: inline-block;\n  max-width: 100%;\n  margin-bottom: 5px;\n  font-weight: 700;\n}\ninput[type=\"search\"] {\n  -webkit-box-sizing: border-box;\n  -moz-box-sizing: border-box;\n  box-sizing: border-box;\n  -webkit-appearance: none;\n  appearance: none;\n}\ninput[type=\"radio\"],\ninput[type=\"checkbox\"] {\n  margin: 4px 0 0;\n  margin-top: 1px \\9;\n  line-height: normal;\n}\ninput[type=\"radio\"][disabled],\ninput[type=\"checkbox\"][disabled],\ninput[type=\"radio\"].disabled,\ninput[type=\"checkbox\"].disabled,\nfieldset[disabled] input[type=\"radio\"],\nfieldset[disabled] input[type=\"checkbox\"] {\n  cursor: not-allowed;\n}\ninput[type=\"file\"] {\n  display: block;\n}\ninput[type=\"range\"] {\n  display: block;\n  width: 100%;\n}\nselect[multiple],\nselect[size] {\n  height: auto;\n}\ninput[type=\"file\"]:focus,\ninput[type=\"radio\"]:focus,\ninput[type=\"checkbox\"]:focus {\n  outline: 5px auto -webkit-focus-ring-color;\n  outline-offset: -2px;\n}\noutput {\n  display: block;\n  padding-top: 7px;\n  font-size: 14px;\n  line-height: 1.42857143;\n  color: #555555;\n}\n.form-control {\n  display: block;\n  width: 100%;\n  height: 34px;\n  padding: 6px 12px;\n  font-size: 14px;\n  line-height: 1.42857143;\n  color: #555555;\n  background-color: #fff;\n  background-image: none;\n  border: 1px solid #ccc;\n  border-radius: 4px;\n  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);\n  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);\n  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;\n  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;\n  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;\n}\n.form-control:focus {\n  border-color: #66afe9;\n  outline: 0;\n  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, .075), 0 0 8px rgba(102, 175, 233, 0.6);\n  box-shadow: inset 0 1px 1px rgba(0, 0, 0, .075), 0 0 8px rgba(102, 175, 233, 0.6);\n}\n.form-control::-moz-placeholder {\n  color: #999;\n  opacity: 1;\n}\n.form-control:-ms-input-placeholder {\n  color: #999;\n}\n.form-control::-webkit-input-placeholder {\n  color: #999;\n}\n.form-control::-ms-expand {\n  background-color: transparent;\n  border: 0;\n}\n.form-control[disabled],\n.form-control[readonly],\nfieldset[disabled] .form-control {\n  background-color: #eeeeee;\n  opacity: 1;\n}\n.form-control[disabled],\nfieldset[disabled] .form-control {\n  cursor: not-allowed;\n}\ntextarea.form-control {\n  height: auto;\n}\n@media screen and (-webkit-min-device-pixel-ratio: 0) {\n  input[type=\"date\"].form-control,\n  input[type=\"time\"].form-control,\n  input[type=\"datetime-local\"].form-control,\n  input[type=\"month\"].form-control {\n    line-height: 34px;\n  }\n  input[type=\"date\"].input-sm,\n  input[type=\"time\"].input-sm,\n  input[type=\"datetime-local\"].input-sm,\n  input[type=\"month\"].input-sm,\n  .input-group-sm input[type=\"date\"],\n  .input-group-sm input[type=\"time\"],\n  .input-group-sm input[type=\"datetime-local\"],\n  .input-group-sm input[type=\"month\"] {\n    line-height: 30px;\n  }\n  input[type=\"date\"].input-lg,\n  input[type=\"time\"].input-lg,\n  input[type=\"datetime-local\"].input-lg,\n  input[type=\"month\"].input-lg,\n  .input-group-lg input[type=\"date\"],\n  .input-group-lg input[type=\"time\"],\n  .input-group-lg input[type=\"datetime-local\"],\n  .input-group-lg input[type=\"month\"] {\n    line-height: 46px;\n  }\n}\n.form-group {\n  margin-bottom: 15px;\n}\n.radio,\n.checkbox {\n  position: relative;\n  display: block;\n  margin-top: 10px;\n  margin-bottom: 10px;\n}\n.radio.disabled label,\n.checkbox.disabled label,\nfieldset[disabled] .radio label,\nfieldset[disabled] .checkbox label {\n  cursor: not-allowed;\n}\n.radio label,\n.checkbox label {\n  min-height: 20px;\n  padding-left: 20px;\n  margin-bottom: 0;\n  font-weight: 400;\n  cursor: pointer;\n}\n.radio input[type=\"radio\"],\n.radio-inline input[type=\"radio\"],\n.checkbox input[type=\"checkbox\"],\n.checkbox-inline input[type=\"checkbox\"] {\n  position: absolute;\n  margin-top: 4px \\9;\n  margin-left: -20px;\n}\n.radio + .radio,\n.checkbox + .checkbox {\n  margin-top: -5px;\n}\n.radio-inline,\n.checkbox-inline {\n  position: relative;\n  display: inline-block;\n  padding-left: 20px;\n  margin-bottom: 0;\n  font-weight: 400;\n  vertical-align: middle;\n  cursor: pointer;\n}\n.radio-inline.disabled,\n.checkbox-inline.disabled,\nfieldset[disabled] .radio-inline,\nfieldset[disabled] .checkbox-inline {\n  cursor: not-allowed;\n}\n.radio-inline + .radio-inline,\n.checkbox-inline + .checkbox-inline {\n  margin-top: 0;\n  margin-left: 10px;\n}\n.form-control-static {\n  min-height: 34px;\n  padding-top: 7px;\n  padding-bottom: 7px;\n  margin-bottom: 0;\n}\n.form-control-static.input-lg,\n.form-control-static.input-sm {\n  padding-right: 0;\n  padding-left: 0;\n}\n.input-sm {\n  height: 30px;\n  padding: 5px 10px;\n  font-size: 12px;\n  line-height: 1.5;\n  border-radius: 3px;\n}\nselect.input-sm {\n  height: 30px;\n  line-height: 30px;\n}\ntextarea.input-sm,\nselect[multiple].input-sm {\n  height: auto;\n}\n.form-group-sm .form-control {\n  height: 30px;\n  padding: 5px 10px;\n  font-size: 12px;\n  line-height: 1.5;\n  border-radius: 3px;\n}\n.form-group-sm select.form-control {\n  height: 30px;\n  line-height: 30px;\n}\n.form-group-sm textarea.form-control,\n.form-group-sm select[multiple].form-control {\n  height: auto;\n}\n.form-group-sm .form-control-static {\n  height: 30px;\n  min-height: 32px;\n  padding: 6px 10px;\n  font-size: 12px;\n  line-height: 1.5;\n}\n.input-lg {\n  height: 46px;\n  padding: 10px 16px;\n  font-size: 18px;\n  line-height: 1.3333333;\n  border-radius: 6px;\n}\nselect.input-lg {\n  height: 46px;\n  line-height: 46px;\n}\ntextarea.input-lg,\nselect[multiple].input-lg {\n  height: auto;\n}\n.form-group-lg .form-control {\n  height: 46px;\n  padding: 10px 16px;\n  font-size: 18px;\n  line-height: 1.3333333;\n  border-radius: 6px;\n}\n.form-group-lg select.form-control {\n  height: 46px;\n  line-height: 46px;\n}\n.form-group-lg textarea.form-control,\n.form-group-lg select[multiple].form-control {\n  height: auto;\n}\n.form-group-lg .form-control-static {\n  height: 46px;\n  min-height: 38px;\n  padding: 11px 16px;\n  font-size: 18px;\n  line-height: 1.3333333;\n}\n.has-feedback {\n  position: relative;\n}\n.has-feedback .form-control {\n  padding-right: 42.5px;\n}\n.form-control-feedback {\n  position: absolute;\n  top: 0;\n  right: 0;\n  z-index: 2;\n  display: block;\n  width: 34px;\n  height: 34px;\n  line-height: 34px;\n  text-align: center;\n  pointer-events: none;\n}\n.input-lg + .form-control-feedback,\n.input-group-lg + .form-control-feedback,\n.form-group-lg .form-control + .form-control-feedback {\n  width: 46px;\n  height: 46px;\n  line-height: 46px;\n}\n.input-sm + .form-control-feedback,\n.input-group-sm + .form-control-feedback,\n.form-group-sm .form-control + .form-control-feedback {\n  width: 30px;\n  height: 30px;\n  line-height: 30px;\n}\n.has-success .help-block,\n.has-success .control-label,\n.has-success .radio,\n.has-success .checkbox,\n.has-success .radio-inline,\n.has-success .checkbox-inline,\n.has-success.radio label,\n.has-success.checkbox label,\n.has-success.radio-inline label,\n.has-success.checkbox-inline label {\n  color: #3c763d;\n}\n.has-success .form-control {\n  border-color: #3c763d;\n  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);\n  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);\n}\n.has-success .form-control:focus {\n  border-color: #2b542c;\n  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #67b168;\n  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #67b168;\n}\n.has-success .input-group-addon {\n  color: #3c763d;\n  background-color: #dff0d8;\n  border-color: #3c763d;\n}\n.has-success .form-control-feedback {\n  color: #3c763d;\n}\n.has-warning .help-block,\n.has-warning .control-label,\n.has-warning .radio,\n.has-warning .checkbox,\n.has-warning .radio-inline,\n.has-warning .checkbox-inline,\n.has-warning.radio label,\n.has-warning.checkbox label,\n.has-warning.radio-inline label,\n.has-warning.checkbox-inline label {\n  color: #8a6d3b;\n}\n.has-warning .form-control {\n  border-color: #8a6d3b;\n  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);\n  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);\n}\n.has-warning .form-control:focus {\n  border-color: #66512c;\n  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #c0a16b;\n  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #c0a16b;\n}\n.has-warning .input-group-addon {\n  color: #8a6d3b;\n  background-color: #fcf8e3;\n  border-color: #8a6d3b;\n}\n.has-warning .form-control-feedback {\n  color: #8a6d3b;\n}\n.has-error .help-block,\n.has-error .control-label,\n.has-error .radio,\n.has-error .checkbox,\n.has-error .radio-inline,\n.has-error .checkbox-inline,\n.has-error.radio label,\n.has-error.checkbox label,\n.has-error.radio-inline label,\n.has-error.checkbox-inline label {\n  color: #a94442;\n}\n.has-error .form-control {\n  border-color: #a94442;\n  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);\n  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);\n}\n.has-error .form-control:focus {\n  border-color: #843534;\n  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483;\n  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483;\n}\n.has-error .input-group-addon {\n  color: #a94442;\n  background-color: #f2dede;\n  border-color: #a94442;\n}\n.has-error .form-control-feedback {\n  color: #a94442;\n}\n.has-feedback label ~ .form-control-feedback {\n  top: 25px;\n}\n.has-feedback label.sr-only ~ .form-control-feedback {\n  top: 0;\n}\n.help-block {\n  display: block;\n  margin-top: 5px;\n  margin-bottom: 10px;\n  color: #737373;\n}\n@media (min-width: 768px) {\n  .form-inline .form-group {\n    display: inline-block;\n    margin-bottom: 0;\n    vertical-align: middle;\n  }\n  .form-inline .form-control {\n    display: inline-block;\n    width: auto;\n    vertical-align: middle;\n  }\n  .form-inline .form-control-static {\n    display: inline-block;\n  }\n  .form-inline .input-group {\n    display: inline-table;\n    vertical-align: middle;\n  }\n  .form-inline .input-group .input-group-addon,\n  .form-inline .input-group .input-group-btn,\n  .form-inline .input-group .form-control {\n    width: auto;\n  }\n  .form-inline .input-group > .form-control {\n    width: 100%;\n  }\n  .form-inline .control-label {\n    margin-bottom: 0;\n    vertical-align: middle;\n  }\n  .form-inline .radio,\n  .form-inline .checkbox {\n    display: inline-block;\n    margin-top: 0;\n    margin-bottom: 0;\n    vertical-align: middle;\n  }\n  .form-inline .radio label,\n  .form-inline .checkbox label {\n    padding-left: 0;\n  }\n  .form-inline .radio input[type=\"radio\"],\n  .form-inline .checkbox input[type=\"checkbox\"] {\n    position: relative;\n    margin-left: 0;\n  }\n  .form-inline .has-feedback .form-control-feedback {\n    top: 0;\n  }\n}\n.form-horizontal .radio,\n.form-horizontal .checkbox,\n.form-horizontal .radio-inline,\n.form-horizontal .checkbox-inline {\n  padding-top: 7px;\n  margin-top: 0;\n  margin-bottom: 0;\n}\n.form-horizontal .radio,\n.form-horizontal .checkbox {\n  min-height: 27px;\n}\n.form-horizontal .form-group {\n  margin-right: -15px;\n  margin-left: -15px;\n}\n@media (min-width: 768px) {\n  .form-horizontal .control-label {\n    padding-top: 7px;\n    margin-bottom: 0;\n    text-align: right;\n  }\n}\n.form-horizontal .has-feedback .form-control-feedback {\n  right: 15px;\n}\n@media (min-width: 768px) {\n  .form-horizontal .form-group-lg .control-label {\n    padding-top: 11px;\n    font-size: 18px;\n  }\n}\n@media (min-width: 768px) {\n  .form-horizontal .form-group-sm .control-label {\n    padding-top: 6px;\n    font-size: 12px;\n  }\n}\n.btn {\n  display: inline-block;\n  margin-bottom: 0;\n  font-weight: normal;\n  text-align: center;\n  white-space: nowrap;\n  vertical-align: middle;\n  touch-action: manipulation;\n  cursor: pointer;\n  background-image: none;\n  border: 1px solid transparent;\n  padding: 6px 12px;\n  font-size: 14px;\n  line-height: 1.42857143;\n  border-radius: 4px;\n  -webkit-user-select: none;\n  -moz-user-select: none;\n  -ms-user-select: none;\n  user-select: none;\n}\n.btn:focus,\n.btn:active:focus,\n.btn.active:focus,\n.btn.focus,\n.btn:active.focus,\n.btn.active.focus {\n  outline: 5px auto -webkit-focus-ring-color;\n  outline-offset: -2px;\n}\n.btn:hover,\n.btn:focus,\n.btn.focus {\n  color: #333;\n  text-decoration: none;\n}\n.btn:active,\n.btn.active {\n  background-image: none;\n  outline: 0;\n  -webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n}\n.btn.disabled,\n.btn[disabled],\nfieldset[disabled] .btn {\n  cursor: not-allowed;\n  filter: alpha(opacity=65);\n  opacity: 0.65;\n  -webkit-box-shadow: none;\n  box-shadow: none;\n}\na.btn.disabled,\nfieldset[disabled] a.btn {\n  pointer-events: none;\n}\n.btn-default {\n  color: #333;\n  background-color: #fff;\n  border-color: #ccc;\n}\n.btn-default:focus,\n.btn-default.focus {\n  color: #333;\n  background-color: #e6e6e6;\n  border-color: #8c8c8c;\n}\n.btn-default:hover {\n  color: #333;\n  background-color: #e6e6e6;\n  border-color: #adadad;\n}\n.btn-default:active,\n.btn-default.active,\n.open > .dropdown-toggle.btn-default {\n  color: #333;\n  background-color: #e6e6e6;\n  background-image: none;\n  border-color: #adadad;\n}\n.btn-default:active:hover,\n.btn-default.active:hover,\n.open > .dropdown-toggle.btn-default:hover,\n.btn-default:active:focus,\n.btn-default.active:focus,\n.open > .dropdown-toggle.btn-default:focus,\n.btn-default:active.focus,\n.btn-default.active.focus,\n.open > .dropdown-toggle.btn-default.focus {\n  color: #333;\n  background-color: #d4d4d4;\n  border-color: #8c8c8c;\n}\n.btn-default.disabled:hover,\n.btn-default[disabled]:hover,\nfieldset[disabled] .btn-default:hover,\n.btn-default.disabled:focus,\n.btn-default[disabled]:focus,\nfieldset[disabled] .btn-default:focus,\n.btn-default.disabled.focus,\n.btn-default[disabled].focus,\nfieldset[disabled] .btn-default.focus {\n  background-color: #fff;\n  border-color: #ccc;\n}\n.btn-default .badge {\n  color: #fff;\n  background-color: #333;\n}\n.btn-primary {\n  color: #fff;\n  background-color: #337ab7;\n  border-color: #2e6da4;\n}\n.btn-primary:focus,\n.btn-primary.focus {\n  color: #fff;\n  background-color: #286090;\n  border-color: #122b40;\n}\n.btn-primary:hover {\n  color: #fff;\n  background-color: #286090;\n  border-color: #204d74;\n}\n.btn-primary:active,\n.btn-primary.active,\n.open > .dropdown-toggle.btn-primary {\n  color: #fff;\n  background-color: #286090;\n  background-image: none;\n  border-color: #204d74;\n}\n.btn-primary:active:hover,\n.btn-primary.active:hover,\n.open > .dropdown-toggle.btn-primary:hover,\n.btn-primary:active:focus,\n.btn-primary.active:focus,\n.open > .dropdown-toggle.btn-primary:focus,\n.btn-primary:active.focus,\n.btn-primary.active.focus,\n.open > .dropdown-toggle.btn-primary.focus {\n  color: #fff;\n  background-color: #204d74;\n  border-color: #122b40;\n}\n.btn-primary.disabled:hover,\n.btn-primary[disabled]:hover,\nfieldset[disabled] .btn-primary:hover,\n.btn-primary.disabled:focus,\n.btn-primary[disabled]:focus,\nfieldset[disabled] .btn-primary:focus,\n.btn-primary.disabled.focus,\n.btn-primary[disabled].focus,\nfieldset[disabled] .btn-primary.focus {\n  background-color: #337ab7;\n  border-color: #2e6da4;\n}\n.btn-primary .badge {\n  color: #337ab7;\n  background-color: #fff;\n}\n.btn-success {\n  color: #fff;\n  background-color: #5cb85c;\n  border-color: #4cae4c;\n}\n.btn-success:focus,\n.btn-success.focus {\n  color: #fff;\n  background-color: #449d44;\n  border-color: #255625;\n}\n.btn-success:hover {\n  color: #fff;\n  background-color: #449d44;\n  border-color: #398439;\n}\n.btn-success:active,\n.btn-success.active,\n.open > .dropdown-toggle.btn-success {\n  color: #fff;\n  background-color: #449d44;\n  background-image: none;\n  border-color: #398439;\n}\n.btn-success:active:hover,\n.btn-success.active:hover,\n.open > .dropdown-toggle.btn-success:hover,\n.btn-success:active:focus,\n.btn-success.active:focus,\n.open > .dropdown-toggle.btn-success:focus,\n.btn-success:active.focus,\n.btn-success.active.focus,\n.open > .dropdown-toggle.btn-success.focus {\n  color: #fff;\n  background-color: #398439;\n  border-color: #255625;\n}\n.btn-success.disabled:hover,\n.btn-success[disabled]:hover,\nfieldset[disabled] .btn-success:hover,\n.btn-success.disabled:focus,\n.btn-success[disabled]:focus,\nfieldset[disabled] .btn-success:focus,\n.btn-success.disabled.focus,\n.btn-success[disabled].focus,\nfieldset[disabled] .btn-success.focus {\n  background-color: #5cb85c;\n  border-color: #4cae4c;\n}\n.btn-success .badge {\n  color: #5cb85c;\n  background-color: #fff;\n}\n.btn-info {\n  color: #fff;\n  background-color: #5bc0de;\n  border-color: #46b8da;\n}\n.btn-info:focus,\n.btn-info.focus {\n  color: #fff;\n  background-color: #31b0d5;\n  border-color: #1b6d85;\n}\n.btn-info:hover {\n  color: #fff;\n  background-color: #31b0d5;\n  border-color: #269abc;\n}\n.btn-info:active,\n.btn-info.active,\n.open > .dropdown-toggle.btn-info {\n  color: #fff;\n  background-color: #31b0d5;\n  background-image: none;\n  border-color: #269abc;\n}\n.btn-info:active:hover,\n.btn-info.active:hover,\n.open > .dropdown-toggle.btn-info:hover,\n.btn-info:active:focus,\n.btn-info.active:focus,\n.open > .dropdown-toggle.btn-info:focus,\n.btn-info:active.focus,\n.btn-info.active.focus,\n.open > .dropdown-toggle.btn-info.focus {\n  color: #fff;\n  background-color: #269abc;\n  border-color: #1b6d85;\n}\n.btn-info.disabled:hover,\n.btn-info[disabled]:hover,\nfieldset[disabled] .btn-info:hover,\n.btn-info.disabled:focus,\n.btn-info[disabled]:focus,\nfieldset[disabled] .btn-info:focus,\n.btn-info.disabled.focus,\n.btn-info[disabled].focus,\nfieldset[disabled] .btn-info.focus {\n  background-color: #5bc0de;\n  border-color: #46b8da;\n}\n.btn-info .badge {\n  color: #5bc0de;\n  background-color: #fff;\n}\n.btn-warning {\n  color: #fff;\n  background-color: #f0ad4e;\n  border-color: #eea236;\n}\n.btn-warning:focus,\n.btn-warning.focus {\n  color: #fff;\n  background-color: #ec971f;\n  border-color: #985f0d;\n}\n.btn-warning:hover {\n  color: #fff;\n  background-color: #ec971f;\n  border-color: #d58512;\n}\n.btn-warning:active,\n.btn-warning.active,\n.open > .dropdown-toggle.btn-warning {\n  color: #fff;\n  background-color: #ec971f;\n  background-image: none;\n  border-color: #d58512;\n}\n.btn-warning:active:hover,\n.btn-warning.active:hover,\n.open > .dropdown-toggle.btn-warning:hover,\n.btn-warning:active:focus,\n.btn-warning.active:focus,\n.open > .dropdown-toggle.btn-warning:focus,\n.btn-warning:active.focus,\n.btn-warning.active.focus,\n.open > .dropdown-toggle.btn-warning.focus {\n  color: #fff;\n  background-color: #d58512;\n  border-color: #985f0d;\n}\n.btn-warning.disabled:hover,\n.btn-warning[disabled]:hover,\nfieldset[disabled] .btn-warning:hover,\n.btn-warning.disabled:focus,\n.btn-warning[disabled]:focus,\nfieldset[disabled] .btn-warning:focus,\n.btn-warning.disabled.focus,\n.btn-warning[disabled].focus,\nfieldset[disabled] .btn-warning.focus {\n  background-color: #f0ad4e;\n  border-color: #eea236;\n}\n.btn-warning .badge {\n  color: #f0ad4e;\n  background-color: #fff;\n}\n.btn-danger {\n  color: #fff;\n  background-color: #d9534f;\n  border-color: #d43f3a;\n}\n.btn-danger:focus,\n.btn-danger.focus {\n  color: #fff;\n  background-color: #c9302c;\n  border-color: #761c19;\n}\n.btn-danger:hover {\n  color: #fff;\n  background-color: #c9302c;\n  border-color: #ac2925;\n}\n.btn-danger:active,\n.btn-danger.active,\n.open > .dropdown-toggle.btn-danger {\n  color: #fff;\n  background-color: #c9302c;\n  background-image: none;\n  border-color: #ac2925;\n}\n.btn-danger:active:hover,\n.btn-danger.active:hover,\n.open > .dropdown-toggle.btn-danger:hover,\n.btn-danger:active:focus,\n.btn-danger.active:focus,\n.open > .dropdown-toggle.btn-danger:focus,\n.btn-danger:active.focus,\n.btn-danger.active.focus,\n.open > .dropdown-toggle.btn-danger.focus {\n  color: #fff;\n  background-color: #ac2925;\n  border-color: #761c19;\n}\n.btn-danger.disabled:hover,\n.btn-danger[disabled]:hover,\nfieldset[disabled] .btn-danger:hover,\n.btn-danger.disabled:focus,\n.btn-danger[disabled]:focus,\nfieldset[disabled] .btn-danger:focus,\n.btn-danger.disabled.focus,\n.btn-danger[disabled].focus,\nfieldset[disabled] .btn-danger.focus {\n  background-color: #d9534f;\n  border-color: #d43f3a;\n}\n.btn-danger .badge {\n  color: #d9534f;\n  background-color: #fff;\n}\n.btn-link {\n  font-weight: 400;\n  color: #337ab7;\n  border-radius: 0;\n}\n.btn-link,\n.btn-link:active,\n.btn-link.active,\n.btn-link[disabled],\nfieldset[disabled] .btn-link {\n  background-color: transparent;\n  -webkit-box-shadow: none;\n  box-shadow: none;\n}\n.btn-link,\n.btn-link:hover,\n.btn-link:focus,\n.btn-link:active {\n  border-color: transparent;\n}\n.btn-link:hover,\n.btn-link:focus {\n  color: #23527c;\n  text-decoration: underline;\n  background-color: transparent;\n}\n.btn-link[disabled]:hover,\nfieldset[disabled] .btn-link:hover,\n.btn-link[disabled]:focus,\nfieldset[disabled] .btn-link:focus {\n  color: #777777;\n  text-decoration: none;\n}\n.btn-lg,\n.btn-group-lg > .btn {\n  padding: 10px 16px;\n  font-size: 18px;\n  line-height: 1.3333333;\n  border-radius: 6px;\n}\n.btn-sm,\n.btn-group-sm > .btn {\n  padding: 5px 10px;\n  font-size: 12px;\n  line-height: 1.5;\n  border-radius: 3px;\n}\n.btn-xs,\n.btn-group-xs > .btn {\n  padding: 1px 5px;\n  font-size: 12px;\n  line-height: 1.5;\n  border-radius: 3px;\n}\n.btn-block {\n  display: block;\n  width: 100%;\n}\n.btn-block + .btn-block {\n  margin-top: 5px;\n}\ninput[type=\"submit\"].btn-block,\ninput[type=\"reset\"].btn-block,\ninput[type=\"button\"].btn-block {\n  width: 100%;\n}\n.fade {\n  opacity: 0;\n  -webkit-transition: opacity 0.15s linear;\n  -o-transition: opacity 0.15s linear;\n  transition: opacity 0.15s linear;\n}\n.fade.in {\n  opacity: 1;\n}\n.collapse {\n  display: none;\n}\n.collapse.in {\n  display: block;\n}\ntr.collapse.in {\n  display: table-row;\n}\ntbody.collapse.in {\n  display: table-row-group;\n}\n.collapsing {\n  position: relative;\n  height: 0;\n  overflow: hidden;\n  -webkit-transition-property: height, visibility;\n  transition-property: height, visibility;\n  -webkit-transition-duration: 0.35s;\n  transition-duration: 0.35s;\n  -webkit-transition-timing-function: ease;\n  transition-timing-function: ease;\n}\n.caret {\n  display: inline-block;\n  width: 0;\n  height: 0;\n  margin-left: 2px;\n  vertical-align: middle;\n  border-top: 4px dashed;\n  border-top: 4px solid \\9;\n  border-right: 4px solid transparent;\n  border-left: 4px solid transparent;\n}\n.dropup,\n.dropdown {\n  position: relative;\n}\n.dropdown-toggle:focus {\n  outline: 0;\n}\n.dropdown-menu {\n  position: absolute;\n  top: 100%;\n  left: 0;\n  z-index: 1000;\n  display: none;\n  float: left;\n  min-width: 160px;\n  padding: 5px 0;\n  margin: 2px 0 0;\n  font-size: 14px;\n  text-align: left;\n  list-style: none;\n  background-color: #fff;\n  background-clip: padding-box;\n  border: 1px solid #ccc;\n  border: 1px solid rgba(0, 0, 0, 0.15);\n  border-radius: 4px;\n  -webkit-box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);\n  box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);\n}\n.dropdown-menu.pull-right {\n  right: 0;\n  left: auto;\n}\n.dropdown-menu .divider {\n  height: 1px;\n  margin: 9px 0;\n  overflow: hidden;\n  background-color: #e5e5e5;\n}\n.dropdown-menu > li > a {\n  display: block;\n  padding: 3px 20px;\n  clear: both;\n  font-weight: 400;\n  line-height: 1.42857143;\n  color: #333333;\n  white-space: nowrap;\n}\n.dropdown-menu > li > a:hover,\n.dropdown-menu > li > a:focus {\n  color: #262626;\n  text-decoration: none;\n  background-color: #f5f5f5;\n}\n.dropdown-menu > .active > a,\n.dropdown-menu > .active > a:hover,\n.dropdown-menu > .active > a:focus {\n  color: #fff;\n  text-decoration: none;\n  background-color: #337ab7;\n  outline: 0;\n}\n.dropdown-menu > .disabled > a,\n.dropdown-menu > .disabled > a:hover,\n.dropdown-menu > .disabled > a:focus {\n  color: #777777;\n}\n.dropdown-menu > .disabled > a:hover,\n.dropdown-menu > .disabled > a:focus {\n  text-decoration: none;\n  cursor: not-allowed;\n  background-color: transparent;\n  background-image: none;\n  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);\n}\n.open > .dropdown-menu {\n  display: block;\n}\n.open > a {\n  outline: 0;\n}\n.dropdown-menu-right {\n  right: 0;\n  left: auto;\n}\n.dropdown-menu-left {\n  right: auto;\n  left: 0;\n}\n.dropdown-header {\n  display: block;\n  padding: 3px 20px;\n  font-size: 12px;\n  line-height: 1.42857143;\n  color: #777777;\n  white-space: nowrap;\n}\n.dropdown-backdrop {\n  position: fixed;\n  top: 0;\n  right: 0;\n  bottom: 0;\n  left: 0;\n  z-index: 990;\n}\n.pull-right > .dropdown-menu {\n  right: 0;\n  left: auto;\n}\n.dropup .caret,\n.navbar-fixed-bottom .dropdown .caret {\n  content: \"\";\n  border-top: 0;\n  border-bottom: 4px dashed;\n  border-bottom: 4px solid \\9;\n}\n.dropup .dropdown-menu,\n.navbar-fixed-bottom .dropdown .dropdown-menu {\n  top: auto;\n  bottom: 100%;\n  margin-bottom: 2px;\n}\n@media (min-width: 768px) {\n  .navbar-right .dropdown-menu {\n    right: 0;\n    left: auto;\n  }\n  .navbar-right .dropdown-menu-left {\n    right: auto;\n    left: 0;\n  }\n}\n.btn-group,\n.btn-group-vertical {\n  position: relative;\n  display: inline-block;\n  vertical-align: middle;\n}\n.btn-group > .btn,\n.btn-group-vertical > .btn {\n  position: relative;\n  float: left;\n}\n.btn-group > .btn:hover,\n.btn-group-vertical > .btn:hover,\n.btn-group > .btn:focus,\n.btn-group-vertical > .btn:focus,\n.btn-group > .btn:active,\n.btn-group-vertical > .btn:active,\n.btn-group > .btn.active,\n.btn-group-vertical > .btn.active {\n  z-index: 2;\n}\n.btn-group .btn + .btn,\n.btn-group .btn + .btn-group,\n.btn-group .btn-group + .btn,\n.btn-group .btn-group + .btn-group {\n  margin-left: -1px;\n}\n.btn-toolbar {\n  margin-left: -5px;\n}\n.btn-toolbar .btn,\n.btn-toolbar .btn-group,\n.btn-toolbar .input-group {\n  float: left;\n}\n.btn-toolbar > .btn,\n.btn-toolbar > .btn-group,\n.btn-toolbar > .input-group {\n  margin-left: 5px;\n}\n.btn-group > .btn:not(:first-child):not(:last-child):not(.dropdown-toggle) {\n  border-radius: 0;\n}\n.btn-group > .btn:first-child {\n  margin-left: 0;\n}\n.btn-group > .btn:first-child:not(:last-child):not(.dropdown-toggle) {\n  border-top-right-radius: 0;\n  border-bottom-right-radius: 0;\n}\n.btn-group > .btn:last-child:not(:first-child),\n.btn-group > .dropdown-toggle:not(:first-child) {\n  border-top-left-radius: 0;\n  border-bottom-left-radius: 0;\n}\n.btn-group > .btn-group {\n  float: left;\n}\n.btn-group > .btn-group:not(:first-child):not(:last-child) > .btn {\n  border-radius: 0;\n}\n.btn-group > .btn-group:first-child:not(:last-child) > .btn:last-child,\n.btn-group > .btn-group:first-child:not(:last-child) > .dropdown-toggle {\n  border-top-right-radius: 0;\n  border-bottom-right-radius: 0;\n}\n.btn-group > .btn-group:last-child:not(:first-child) > .btn:first-child {\n  border-top-left-radius: 0;\n  border-bottom-left-radius: 0;\n}\n.btn-group .dropdown-toggle:active,\n.btn-group.open .dropdown-toggle {\n  outline: 0;\n}\n.btn-group > .btn + .dropdown-toggle {\n  padding-right: 8px;\n  padding-left: 8px;\n}\n.btn-group > .btn-lg + .dropdown-toggle {\n  padding-right: 12px;\n  padding-left: 12px;\n}\n.btn-group.open .dropdown-toggle {\n  -webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n}\n.btn-group.open .dropdown-toggle.btn-link {\n  -webkit-box-shadow: none;\n  box-shadow: none;\n}\n.btn .caret {\n  margin-left: 0;\n}\n.btn-lg .caret {\n  border-width: 5px 5px 0;\n  border-bottom-width: 0;\n}\n.dropup .btn-lg .caret {\n  border-width: 0 5px 5px;\n}\n.btn-group-vertical > .btn,\n.btn-group-vertical > .btn-group,\n.btn-group-vertical > .btn-group > .btn {\n  display: block;\n  float: none;\n  width: 100%;\n  max-width: 100%;\n}\n.btn-group-vertical > .btn-group > .btn {\n  float: none;\n}\n.btn-group-vertical > .btn + .btn,\n.btn-group-vertical > .btn + .btn-group,\n.btn-group-vertical > .btn-group + .btn,\n.btn-group-vertical > .btn-group + .btn-group {\n  margin-top: -1px;\n  margin-left: 0;\n}\n.btn-group-vertical > .btn:not(:first-child):not(:last-child) {\n  border-radius: 0;\n}\n.btn-group-vertical > .btn:first-child:not(:last-child) {\n  border-top-left-radius: 4px;\n  border-top-right-radius: 4px;\n  border-bottom-right-radius: 0;\n  border-bottom-left-radius: 0;\n}\n.btn-group-vertical > .btn:last-child:not(:first-child) {\n  border-top-left-radius: 0;\n  border-top-right-radius: 0;\n  border-bottom-right-radius: 4px;\n  border-bottom-left-radius: 4px;\n}\n.btn-group-vertical > .btn-group:not(:first-child):not(:last-child) > .btn {\n  border-radius: 0;\n}\n.btn-group-vertical > .btn-group:first-child:not(:last-child) > .btn:last-child,\n.btn-group-vertical > .btn-group:first-child:not(:last-child) > .dropdown-toggle {\n  border-bottom-right-radius: 0;\n  border-bottom-left-radius: 0;\n}\n.btn-group-vertical > .btn-group:last-child:not(:first-child) > .btn:first-child {\n  border-top-left-radius: 0;\n  border-top-right-radius: 0;\n}\n.btn-group-justified {\n  display: table;\n  width: 100%;\n  table-layout: fixed;\n  border-collapse: separate;\n}\n.btn-group-justified > .btn,\n.btn-group-justified > .btn-group {\n  display: table-cell;\n  float: none;\n  width: 1%;\n}\n.btn-group-justified > .btn-group .btn {\n  width: 100%;\n}\n.btn-group-justified > .btn-group .dropdown-menu {\n  left: auto;\n}\n[data-toggle=\"buttons\"] > .btn input[type=\"radio\"],\n[data-toggle=\"buttons\"] > .btn-group > .btn input[type=\"radio\"],\n[data-toggle=\"buttons\"] > .btn input[type=\"checkbox\"],\n[data-toggle=\"buttons\"] > .btn-group > .btn input[type=\"checkbox\"] {\n  position: absolute;\n  clip: rect(0, 0, 0, 0);\n  pointer-events: none;\n}\n.input-group {\n  position: relative;\n  display: table;\n  border-collapse: separate;\n}\n.input-group[class*=\"col-\"] {\n  float: none;\n  padding-right: 0;\n  padding-left: 0;\n}\n.input-group .form-control {\n  position: relative;\n  z-index: 2;\n  float: left;\n  width: 100%;\n  margin-bottom: 0;\n}\n.input-group .form-control:focus {\n  z-index: 3;\n}\n.input-group-lg > .form-control,\n.input-group-lg > .input-group-addon,\n.input-group-lg > .input-group-btn > .btn {\n  height: 46px;\n  padding: 10px 16px;\n  font-size: 18px;\n  line-height: 1.3333333;\n  border-radius: 6px;\n}\nselect.input-group-lg > .form-control,\nselect.input-group-lg > .input-group-addon,\nselect.input-group-lg > .input-group-btn > .btn {\n  height: 46px;\n  line-height: 46px;\n}\ntextarea.input-group-lg > .form-control,\ntextarea.input-group-lg > .input-group-addon,\ntextarea.input-group-lg > .input-group-btn > .btn,\nselect[multiple].input-group-lg > .form-control,\nselect[multiple].input-group-lg > .input-group-addon,\nselect[multiple].input-group-lg > .input-group-btn > .btn {\n  height: auto;\n}\n.input-group-sm > .form-control,\n.input-group-sm > .input-group-addon,\n.input-group-sm > .input-group-btn > .btn {\n  height: 30px;\n  padding: 5px 10px;\n  font-size: 12px;\n  line-height: 1.5;\n  border-radius: 3px;\n}\nselect.input-group-sm > .form-control,\nselect.input-group-sm > .input-group-addon,\nselect.input-group-sm > .input-group-btn > .btn {\n  height: 30px;\n  line-height: 30px;\n}\ntextarea.input-group-sm > .form-control,\ntextarea.input-group-sm > .input-group-addon,\ntextarea.input-group-sm > .input-group-btn > .btn,\nselect[multiple].input-group-sm > .form-control,\nselect[multiple].input-group-sm > .input-group-addon,\nselect[multiple].input-group-sm > .input-group-btn > .btn {\n  height: auto;\n}\n.input-group-addon,\n.input-group-btn,\n.input-group .form-control {\n  display: table-cell;\n}\n.input-group-addon:not(:first-child):not(:last-child),\n.input-group-btn:not(:first-child):not(:last-child),\n.input-group .form-control:not(:first-child):not(:last-child) {\n  border-radius: 0;\n}\n.input-group-addon,\n.input-group-btn {\n  width: 1%;\n  white-space: nowrap;\n  vertical-align: middle;\n}\n.input-group-addon {\n  padding: 6px 12px;\n  font-size: 14px;\n  font-weight: 400;\n  line-height: 1;\n  color: #555555;\n  text-align: center;\n  background-color: #eeeeee;\n  border: 1px solid #ccc;\n  border-radius: 4px;\n}\n.input-group-addon.input-sm {\n  padding: 5px 10px;\n  font-size: 12px;\n  border-radius: 3px;\n}\n.input-group-addon.input-lg {\n  padding: 10px 16px;\n  font-size: 18px;\n  border-radius: 6px;\n}\n.input-group-addon input[type=\"radio\"],\n.input-group-addon input[type=\"checkbox\"] {\n  margin-top: 0;\n}\n.input-group .form-control:first-child,\n.input-group-addon:first-child,\n.input-group-btn:first-child > .btn,\n.input-group-btn:first-child > .btn-group > .btn,\n.input-group-btn:first-child > .dropdown-toggle,\n.input-group-btn:last-child > .btn:not(:last-child):not(.dropdown-toggle),\n.input-group-btn:last-child > .btn-group:not(:last-child) > .btn {\n  border-top-right-radius: 0;\n  border-bottom-right-radius: 0;\n}\n.input-group-addon:first-child {\n  border-right: 0;\n}\n.input-group .form-control:last-child,\n.input-group-addon:last-child,\n.input-group-btn:last-child > .btn,\n.input-group-btn:last-child > .btn-group > .btn,\n.input-group-btn:last-child > .dropdown-toggle,\n.input-group-btn:first-child > .btn:not(:first-child),\n.input-group-btn:first-child > .btn-group:not(:first-child) > .btn {\n  border-top-left-radius: 0;\n  border-bottom-left-radius: 0;\n}\n.input-group-addon:last-child {\n  border-left: 0;\n}\n.input-group-btn {\n  position: relative;\n  font-size: 0;\n  white-space: nowrap;\n}\n.input-group-btn > .btn {\n  position: relative;\n}\n.input-group-btn > .btn + .btn {\n  margin-left: -1px;\n}\n.input-group-btn > .btn:hover,\n.input-group-btn > .btn:focus,\n.input-group-btn > .btn:active {\n  z-index: 2;\n}\n.input-group-btn:first-child > .btn,\n.input-group-btn:first-child > .btn-group {\n  margin-right: -1px;\n}\n.input-group-btn:last-child > .btn,\n.input-group-btn:last-child > .btn-group {\n  z-index: 2;\n  margin-left: -1px;\n}\n.nav {\n  padding-left: 0;\n  margin-bottom: 0;\n  list-style: none;\n}\n.nav > li {\n  position: relative;\n  display: block;\n}\n.nav > li > a {\n  position: relative;\n  display: block;\n  padding: 10px 15px;\n}\n.nav > li > a:hover,\n.nav > li > a:focus {\n  text-decoration: none;\n  background-color: #eeeeee;\n}\n.nav > li.disabled > a {\n  color: #777777;\n}\n.nav > li.disabled > a:hover,\n.nav > li.disabled > a:focus {\n  color: #777777;\n  text-decoration: none;\n  cursor: not-allowed;\n  background-color: transparent;\n}\n.nav .open > a,\n.nav .open > a:hover,\n.nav .open > a:focus {\n  background-color: #eeeeee;\n  border-color: #337ab7;\n}\n.nav .nav-divider {\n  height: 1px;\n  margin: 9px 0;\n  overflow: hidden;\n  background-color: #e5e5e5;\n}\n.nav > li > a > img {\n  max-width: none;\n}\n.nav-tabs {\n  border-bottom: 1px solid #ddd;\n}\n.nav-tabs > li {\n  float: left;\n  margin-bottom: -1px;\n}\n.nav-tabs > li > a {\n  margin-right: 2px;\n  line-height: 1.42857143;\n  border: 1px solid transparent;\n  border-radius: 4px 4px 0 0;\n}\n.nav-tabs > li > a:hover {\n  border-color: #eeeeee #eeeeee #ddd;\n}\n.nav-tabs > li.active > a,\n.nav-tabs > li.active > a:hover,\n.nav-tabs > li.active > a:focus {\n  color: #555555;\n  cursor: default;\n  background-color: #fff;\n  border: 1px solid #ddd;\n  border-bottom-color: transparent;\n}\n.nav-tabs.nav-justified {\n  width: 100%;\n  border-bottom: 0;\n}\n.nav-tabs.nav-justified > li {\n  float: none;\n}\n.nav-tabs.nav-justified > li > a {\n  margin-bottom: 5px;\n  text-align: center;\n}\n.nav-tabs.nav-justified > .dropdown .dropdown-menu {\n  top: auto;\n  left: auto;\n}\n@media (min-width: 768px) {\n  .nav-tabs.nav-justified > li {\n    display: table-cell;\n    width: 1%;\n  }\n  .nav-tabs.nav-justified > li > a {\n    margin-bottom: 0;\n  }\n}\n.nav-tabs.nav-justified > li > a {\n  margin-right: 0;\n  border-radius: 4px;\n}\n.nav-tabs.nav-justified > .active > a,\n.nav-tabs.nav-justified > .active > a:hover,\n.nav-tabs.nav-justified > .active > a:focus {\n  border: 1px solid #ddd;\n}\n@media (min-width: 768px) {\n  .nav-tabs.nav-justified > li > a {\n    border-bottom: 1px solid #ddd;\n    border-radius: 4px 4px 0 0;\n  }\n  .nav-tabs.nav-justified > .active > a,\n  .nav-tabs.nav-justified > .active > a:hover,\n  .nav-tabs.nav-justified > .active > a:focus {\n    border-bottom-color: #fff;\n  }\n}\n.nav-pills > li {\n  float: left;\n}\n.nav-pills > li > a {\n  border-radius: 4px;\n}\n.nav-pills > li + li {\n  margin-left: 2px;\n}\n.nav-pills > li.active > a,\n.nav-pills > li.active > a:hover,\n.nav-pills > li.active > a:focus {\n  color: #fff;\n  background-color: #337ab7;\n}\n.nav-stacked > li {\n  float: none;\n}\n.nav-stacked > li + li {\n  margin-top: 2px;\n  margin-left: 0;\n}\n.nav-justified {\n  width: 100%;\n}\n.nav-justified > li {\n  float: none;\n}\n.nav-justified > li > a {\n  margin-bottom: 5px;\n  text-align: center;\n}\n.nav-justified > .dropdown .dropdown-menu {\n  top: auto;\n  left: auto;\n}\n@media (min-width: 768px) {\n  .nav-justified > li {\n    display: table-cell;\n    width: 1%;\n  }\n  .nav-justified > li > a {\n    margin-bottom: 0;\n  }\n}\n.nav-tabs-justified {\n  border-bottom: 0;\n}\n.nav-tabs-justified > li > a {\n  margin-right: 0;\n  border-radius: 4px;\n}\n.nav-tabs-justified > .active > a,\n.nav-tabs-justified > .active > a:hover,\n.nav-tabs-justified > .active > a:focus {\n  border: 1px solid #ddd;\n}\n@media (min-width: 768px) {\n  .nav-tabs-justified > li > a {\n    border-bottom: 1px solid #ddd;\n    border-radius: 4px 4px 0 0;\n  }\n  .nav-tabs-justified > .active > a,\n  .nav-tabs-justified > .active > a:hover,\n  .nav-tabs-justified > .active > a:focus {\n    border-bottom-color: #fff;\n  }\n}\n.tab-content > .tab-pane {\n  display: none;\n}\n.tab-content > .active {\n  display: block;\n}\n.nav-tabs .dropdown-menu {\n  margin-top: -1px;\n  border-top-left-radius: 0;\n  border-top-right-radius: 0;\n}\n.navbar {\n  position: relative;\n  min-height: 50px;\n  margin-bottom: 20px;\n  border: 1px solid transparent;\n}\n@media (min-width: 768px) {\n  .navbar {\n    border-radius: 4px;\n  }\n}\n@media (min-width: 768px) {\n  .navbar-header {\n    float: left;\n  }\n}\n.navbar-collapse {\n  padding-right: 15px;\n  padding-left: 15px;\n  overflow-x: visible;\n  border-top: 1px solid transparent;\n  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1);\n  -webkit-overflow-scrolling: touch;\n}\n.navbar-collapse.in {\n  overflow-y: auto;\n}\n@media (min-width: 768px) {\n  .navbar-collapse {\n    width: auto;\n    border-top: 0;\n    box-shadow: none;\n  }\n  .navbar-collapse.collapse {\n    display: block !important;\n    height: auto !important;\n    padding-bottom: 0;\n    overflow: visible !important;\n  }\n  .navbar-collapse.in {\n    overflow-y: visible;\n  }\n  .navbar-fixed-top .navbar-collapse,\n  .navbar-static-top .navbar-collapse,\n  .navbar-fixed-bottom .navbar-collapse {\n    padding-right: 0;\n    padding-left: 0;\n  }\n}\n.navbar-fixed-top,\n.navbar-fixed-bottom {\n  position: fixed;\n  right: 0;\n  left: 0;\n  z-index: 1030;\n}\n.navbar-fixed-top .navbar-collapse,\n.navbar-fixed-bottom .navbar-collapse {\n  max-height: 340px;\n}\n@media (max-device-width: 480px) and (orientation: landscape) {\n  .navbar-fixed-top .navbar-collapse,\n  .navbar-fixed-bottom .navbar-collapse {\n    max-height: 200px;\n  }\n}\n@media (min-width: 768px) {\n  .navbar-fixed-top,\n  .navbar-fixed-bottom {\n    border-radius: 0;\n  }\n}\n.navbar-fixed-top {\n  top: 0;\n  border-width: 0 0 1px;\n}\n.navbar-fixed-bottom {\n  bottom: 0;\n  margin-bottom: 0;\n  border-width: 1px 0 0;\n}\n.container > .navbar-header,\n.container-fluid > .navbar-header,\n.container > .navbar-collapse,\n.container-fluid > .navbar-collapse {\n  margin-right: -15px;\n  margin-left: -15px;\n}\n@media (min-width: 768px) {\n  .container > .navbar-header,\n  .container-fluid > .navbar-header,\n  .container > .navbar-collapse,\n  .container-fluid > .navbar-collapse {\n    margin-right: 0;\n    margin-left: 0;\n  }\n}\n.navbar-static-top {\n  z-index: 1000;\n  border-width: 0 0 1px;\n}\n@media (min-width: 768px) {\n  .navbar-static-top {\n    border-radius: 0;\n  }\n}\n.navbar-brand {\n  float: left;\n  height: 50px;\n  padding: 15px 15px;\n  font-size: 18px;\n  line-height: 20px;\n}\n.navbar-brand:hover,\n.navbar-brand:focus {\n  text-decoration: none;\n}\n.navbar-brand > img {\n  display: block;\n}\n@media (min-width: 768px) {\n  .navbar > .container .navbar-brand,\n  .navbar > .container-fluid .navbar-brand {\n    margin-left: -15px;\n  }\n}\n.navbar-toggle {\n  position: relative;\n  float: right;\n  padding: 9px 10px;\n  margin-right: 15px;\n  margin-top: 8px;\n  margin-bottom: 8px;\n  background-color: transparent;\n  background-image: none;\n  border: 1px solid transparent;\n  border-radius: 4px;\n}\n.navbar-toggle:focus {\n  outline: 0;\n}\n.navbar-toggle .icon-bar {\n  display: block;\n  width: 22px;\n  height: 2px;\n  border-radius: 1px;\n}\n.navbar-toggle .icon-bar + .icon-bar {\n  margin-top: 4px;\n}\n@media (min-width: 768px) {\n  .navbar-toggle {\n    display: none;\n  }\n}\n.navbar-nav {\n  margin: 7.5px -15px;\n}\n.navbar-nav > li > a {\n  padding-top: 10px;\n  padding-bottom: 10px;\n  line-height: 20px;\n}\n@media (max-width: 767px) {\n  .navbar-nav .open .dropdown-menu {\n    position: static;\n    float: none;\n    width: auto;\n    margin-top: 0;\n    background-color: transparent;\n    border: 0;\n    box-shadow: none;\n  }\n  .navbar-nav .open .dropdown-menu > li > a,\n  .navbar-nav .open .dropdown-menu .dropdown-header {\n    padding: 5px 15px 5px 25px;\n  }\n  .navbar-nav .open .dropdown-menu > li > a {\n    line-height: 20px;\n  }\n  .navbar-nav .open .dropdown-menu > li > a:hover,\n  .navbar-nav .open .dropdown-menu > li > a:focus {\n    background-image: none;\n  }\n}\n@media (min-width: 768px) {\n  .navbar-nav {\n    float: left;\n    margin: 0;\n  }\n  .navbar-nav > li {\n    float: left;\n  }\n  .navbar-nav > li > a {\n    padding-top: 15px;\n    padding-bottom: 15px;\n  }\n}\n.navbar-form {\n  padding: 10px 15px;\n  margin-right: -15px;\n  margin-left: -15px;\n  border-top: 1px solid transparent;\n  border-bottom: 1px solid transparent;\n  -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);\n  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);\n  margin-top: 8px;\n  margin-bottom: 8px;\n}\n@media (min-width: 768px) {\n  .navbar-form .form-group {\n    display: inline-block;\n    margin-bottom: 0;\n    vertical-align: middle;\n  }\n  .navbar-form .form-control {\n    display: inline-block;\n    width: auto;\n    vertical-align: middle;\n  }\n  .navbar-form .form-control-static {\n    display: inline-block;\n  }\n  .navbar-form .input-group {\n    display: inline-table;\n    vertical-align: middle;\n  }\n  .navbar-form .input-group .input-group-addon,\n  .navbar-form .input-group .input-group-btn,\n  .navbar-form .input-group .form-control {\n    width: auto;\n  }\n  .navbar-form .input-group > .form-control {\n    width: 100%;\n  }\n  .navbar-form .control-label {\n    margin-bottom: 0;\n    vertical-align: middle;\n  }\n  .navbar-form .radio,\n  .navbar-form .checkbox {\n    display: inline-block;\n    margin-top: 0;\n    margin-bottom: 0;\n    vertical-align: middle;\n  }\n  .navbar-form .radio label,\n  .navbar-form .checkbox label {\n    padding-left: 0;\n  }\n  .navbar-form .radio input[type=\"radio\"],\n  .navbar-form .checkbox input[type=\"checkbox\"] {\n    position: relative;\n    margin-left: 0;\n  }\n  .navbar-form .has-feedback .form-control-feedback {\n    top: 0;\n  }\n}\n@media (max-width: 767px) {\n  .navbar-form .form-group {\n    margin-bottom: 5px;\n  }\n  .navbar-form .form-group:last-child {\n    margin-bottom: 0;\n  }\n}\n@media (min-width: 768px) {\n  .navbar-form {\n    width: auto;\n    padding-top: 0;\n    padding-bottom: 0;\n    margin-right: 0;\n    margin-left: 0;\n    border: 0;\n    -webkit-box-shadow: none;\n    box-shadow: none;\n  }\n}\n.navbar-nav > li > .dropdown-menu {\n  margin-top: 0;\n  border-top-left-radius: 0;\n  border-top-right-radius: 0;\n}\n.navbar-fixed-bottom .navbar-nav > li > .dropdown-menu {\n  margin-bottom: 0;\n  border-top-left-radius: 4px;\n  border-top-right-radius: 4px;\n  border-bottom-right-radius: 0;\n  border-bottom-left-radius: 0;\n}\n.navbar-btn {\n  margin-top: 8px;\n  margin-bottom: 8px;\n}\n.navbar-btn.btn-sm {\n  margin-top: 10px;\n  margin-bottom: 10px;\n}\n.navbar-btn.btn-xs {\n  margin-top: 14px;\n  margin-bottom: 14px;\n}\n.navbar-text {\n  margin-top: 15px;\n  margin-bottom: 15px;\n}\n@media (min-width: 768px) {\n  .navbar-text {\n    float: left;\n    margin-right: 15px;\n    margin-left: 15px;\n  }\n}\n@media (min-width: 768px) {\n  .navbar-left {\n    float: left !important;\n  }\n  .navbar-right {\n    float: right !important;\n    margin-right: -15px;\n  }\n  .navbar-right ~ .navbar-right {\n    margin-right: 0;\n  }\n}\n.navbar-default {\n  background-color: #f8f8f8;\n  border-color: #e7e7e7;\n}\n.navbar-default .navbar-brand {\n  color: #777;\n}\n.navbar-default .navbar-brand:hover,\n.navbar-default .navbar-brand:focus {\n  color: #5e5e5e;\n  background-color: transparent;\n}\n.navbar-default .navbar-text {\n  color: #777;\n}\n.navbar-default .navbar-nav > li > a {\n  color: #777;\n}\n.navbar-default .navbar-nav > li > a:hover,\n.navbar-default .navbar-nav > li > a:focus {\n  color: #333;\n  background-color: transparent;\n}\n.navbar-default .navbar-nav > .active > a,\n.navbar-default .navbar-nav > .active > a:hover,\n.navbar-default .navbar-nav > .active > a:focus {\n  color: #555;\n  background-color: #e7e7e7;\n}\n.navbar-default .navbar-nav > .disabled > a,\n.navbar-default .navbar-nav > .disabled > a:hover,\n.navbar-default .navbar-nav > .disabled > a:focus {\n  color: #ccc;\n  background-color: transparent;\n}\n.navbar-default .navbar-nav > .open > a,\n.navbar-default .navbar-nav > .open > a:hover,\n.navbar-default .navbar-nav > .open > a:focus {\n  color: #555;\n  background-color: #e7e7e7;\n}\n@media (max-width: 767px) {\n  .navbar-default .navbar-nav .open .dropdown-menu > li > a {\n    color: #777;\n  }\n  .navbar-default .navbar-nav .open .dropdown-menu > li > a:hover,\n  .navbar-default .navbar-nav .open .dropdown-menu > li > a:focus {\n    color: #333;\n    background-color: transparent;\n  }\n  .navbar-default .navbar-nav .open .dropdown-menu > .active > a,\n  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:hover,\n  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:focus {\n    color: #555;\n    background-color: #e7e7e7;\n  }\n  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a,\n  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:hover,\n  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:focus {\n    color: #ccc;\n    background-color: transparent;\n  }\n}\n.navbar-default .navbar-toggle {\n  border-color: #ddd;\n}\n.navbar-default .navbar-toggle:hover,\n.navbar-default .navbar-toggle:focus {\n  background-color: #ddd;\n}\n.navbar-default .navbar-toggle .icon-bar {\n  background-color: #888;\n}\n.navbar-default .navbar-collapse,\n.navbar-default .navbar-form {\n  border-color: #e7e7e7;\n}\n.navbar-default .navbar-link {\n  color: #777;\n}\n.navbar-default .navbar-link:hover {\n  color: #333;\n}\n.navbar-default .btn-link {\n  color: #777;\n}\n.navbar-default .btn-link:hover,\n.navbar-default .btn-link:focus {\n  color: #333;\n}\n.navbar-default .btn-link[disabled]:hover,\nfieldset[disabled] .navbar-default .btn-link:hover,\n.navbar-default .btn-link[disabled]:focus,\nfieldset[disabled] .navbar-default .btn-link:focus {\n  color: #ccc;\n}\n.navbar-inverse {\n  background-color: #222;\n  border-color: #080808;\n}\n.navbar-inverse .navbar-brand {\n  color: #9d9d9d;\n}\n.navbar-inverse .navbar-brand:hover,\n.navbar-inverse .navbar-brand:focus {\n  color: #fff;\n  background-color: transparent;\n}\n.navbar-inverse .navbar-text {\n  color: #9d9d9d;\n}\n.navbar-inverse .navbar-nav > li > a {\n  color: #9d9d9d;\n}\n.navbar-inverse .navbar-nav > li > a:hover,\n.navbar-inverse .navbar-nav > li > a:focus {\n  color: #fff;\n  background-color: transparent;\n}\n.navbar-inverse .navbar-nav > .active > a,\n.navbar-inverse .navbar-nav > .active > a:hover,\n.navbar-inverse .navbar-nav > .active > a:focus {\n  color: #fff;\n  background-color: #080808;\n}\n.navbar-inverse .navbar-nav > .disabled > a,\n.navbar-inverse .navbar-nav > .disabled > a:hover,\n.navbar-inverse .navbar-nav > .disabled > a:focus {\n  color: #444;\n  background-color: transparent;\n}\n.navbar-inverse .navbar-nav > .open > a,\n.navbar-inverse .navbar-nav > .open > a:hover,\n.navbar-inverse .navbar-nav > .open > a:focus {\n  color: #fff;\n  background-color: #080808;\n}\n@media (max-width: 767px) {\n  .navbar-inverse .navbar-nav .open .dropdown-menu > .dropdown-header {\n    border-color: #080808;\n  }\n  .navbar-inverse .navbar-nav .open .dropdown-menu .divider {\n    background-color: #080808;\n  }\n  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a {\n    color: #9d9d9d;\n  }\n  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a:hover,\n  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a:focus {\n    color: #fff;\n    background-color: transparent;\n  }\n  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a,\n  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a:hover,\n  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a:focus {\n    color: #fff;\n    background-color: #080808;\n  }\n  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a,\n  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a:hover,\n  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a:focus {\n    color: #444;\n    background-color: transparent;\n  }\n}\n.navbar-inverse .navbar-toggle {\n  border-color: #333;\n}\n.navbar-inverse .navbar-toggle:hover,\n.navbar-inverse .navbar-toggle:focus {\n  background-color: #333;\n}\n.navbar-inverse .navbar-toggle .icon-bar {\n  background-color: #fff;\n}\n.navbar-inverse .navbar-collapse,\n.navbar-inverse .navbar-form {\n  border-color: #101010;\n}\n.navbar-inverse .navbar-link {\n  color: #9d9d9d;\n}\n.navbar-inverse .navbar-link:hover {\n  color: #fff;\n}\n.navbar-inverse .btn-link {\n  color: #9d9d9d;\n}\n.navbar-inverse .btn-link:hover,\n.navbar-inverse .btn-link:focus {\n  color: #fff;\n}\n.navbar-inverse .btn-link[disabled]:hover,\nfieldset[disabled] .navbar-inverse .btn-link:hover,\n.navbar-inverse .btn-link[disabled]:focus,\nfieldset[disabled] .navbar-inverse .btn-link:focus {\n  color: #444;\n}\n.breadcrumb {\n  padding: 8px 15px;\n  margin-bottom: 20px;\n  list-style: none;\n  background-color: #f5f5f5;\n  border-radius: 4px;\n}\n.breadcrumb > li {\n  display: inline-block;\n}\n.breadcrumb > li + li:before {\n  padding: 0 5px;\n  color: #ccc;\n  content: \"/\\00a0\";\n}\n.breadcrumb > .active {\n  color: #777777;\n}\n.pagination {\n  display: inline-block;\n  padding-left: 0;\n  margin: 20px 0;\n  border-radius: 4px;\n}\n.pagination > li {\n  display: inline;\n}\n.pagination > li > a,\n.pagination > li > span {\n  position: relative;\n  float: left;\n  padding: 6px 12px;\n  margin-left: -1px;\n  line-height: 1.42857143;\n  color: #337ab7;\n  text-decoration: none;\n  background-color: #fff;\n  border: 1px solid #ddd;\n}\n.pagination > li > a:hover,\n.pagination > li > span:hover,\n.pagination > li > a:focus,\n.pagination > li > span:focus {\n  z-index: 2;\n  color: #23527c;\n  background-color: #eeeeee;\n  border-color: #ddd;\n}\n.pagination > li:first-child > a,\n.pagination > li:first-child > span {\n  margin-left: 0;\n  border-top-left-radius: 4px;\n  border-bottom-left-radius: 4px;\n}\n.pagination > li:last-child > a,\n.pagination > li:last-child > span {\n  border-top-right-radius: 4px;\n  border-bottom-right-radius: 4px;\n}\n.pagination > .active > a,\n.pagination > .active > span,\n.pagination > .active > a:hover,\n.pagination > .active > span:hover,\n.pagination > .active > a:focus,\n.pagination > .active > span:focus {\n  z-index: 3;\n  color: #fff;\n  cursor: default;\n  background-color: #337ab7;\n  border-color: #337ab7;\n}\n.pagination > .disabled > span,\n.pagination > .disabled > span:hover,\n.pagination > .disabled > span:focus,\n.pagination > .disabled > a,\n.pagination > .disabled > a:hover,\n.pagination > .disabled > a:focus {\n  color: #777777;\n  cursor: not-allowed;\n  background-color: #fff;\n  border-color: #ddd;\n}\n.pagination-lg > li > a,\n.pagination-lg > li > span {\n  padding: 10px 16px;\n  font-size: 18px;\n  line-height: 1.3333333;\n}\n.pagination-lg > li:first-child > a,\n.pagination-lg > li:first-child > span {\n  border-top-left-radius: 6px;\n  border-bottom-left-radius: 6px;\n}\n.pagination-lg > li:last-child > a,\n.pagination-lg > li:last-child > span {\n  border-top-right-radius: 6px;\n  border-bottom-right-radius: 6px;\n}\n.pagination-sm > li > a,\n.pagination-sm > li > span {\n  padding: 5px 10px;\n  font-size: 12px;\n  line-height: 1.5;\n}\n.pagination-sm > li:first-child > a,\n.pagination-sm > li:first-child > span {\n  border-top-left-radius: 3px;\n  border-bottom-left-radius: 3px;\n}\n.pagination-sm > li:last-child > a,\n.pagination-sm > li:last-child > span {\n  border-top-right-radius: 3px;\n  border-bottom-right-radius: 3px;\n}\n.pager {\n  padding-left: 0;\n  margin: 20px 0;\n  text-align: center;\n  list-style: none;\n}\n.pager li {\n  display: inline;\n}\n.pager li > a,\n.pager li > span {\n  display: inline-block;\n  padding: 5px 14px;\n  background-color: #fff;\n  border: 1px solid #ddd;\n  border-radius: 15px;\n}\n.pager li > a:hover,\n.pager li > a:focus {\n  text-decoration: none;\n  background-color: #eeeeee;\n}\n.pager .next > a,\n.pager .next > span {\n  float: right;\n}\n.pager .previous > a,\n.pager .previous > span {\n  float: left;\n}\n.pager .disabled > a,\n.pager .disabled > a:hover,\n.pager .disabled > a:focus,\n.pager .disabled > span {\n  color: #777777;\n  cursor: not-allowed;\n  background-color: #fff;\n}\n.label {\n  display: inline;\n  padding: 0.2em 0.6em 0.3em;\n  font-size: 75%;\n  font-weight: 700;\n  line-height: 1;\n  color: #fff;\n  text-align: center;\n  white-space: nowrap;\n  vertical-align: baseline;\n  border-radius: 0.25em;\n}\na.label:hover,\na.label:focus {\n  color: #fff;\n  text-decoration: none;\n  cursor: pointer;\n}\n.label:empty {\n  display: none;\n}\n.btn .label {\n  position: relative;\n  top: -1px;\n}\n.label-default {\n  background-color: #777777;\n}\n.label-default[href]:hover,\n.label-default[href]:focus {\n  background-color: #5e5e5e;\n}\n.label-primary {\n  background-color: #337ab7;\n}\n.label-primary[href]:hover,\n.label-primary[href]:focus {\n  background-color: #286090;\n}\n.label-success {\n  background-color: #5cb85c;\n}\n.label-success[href]:hover,\n.label-success[href]:focus {\n  background-color: #449d44;\n}\n.label-info {\n  background-color: #5bc0de;\n}\n.label-info[href]:hover,\n.label-info[href]:focus {\n  background-color: #31b0d5;\n}\n.label-warning {\n  background-color: #f0ad4e;\n}\n.label-warning[href]:hover,\n.label-warning[href]:focus {\n  background-color: #ec971f;\n}\n.label-danger {\n  background-color: #d9534f;\n}\n.label-danger[href]:hover,\n.label-danger[href]:focus {\n  background-color: #c9302c;\n}\n.badge {\n  display: inline-block;\n  min-width: 10px;\n  padding: 3px 7px;\n  font-size: 12px;\n  font-weight: bold;\n  line-height: 1;\n  color: #fff;\n  text-align: center;\n  white-space: nowrap;\n  vertical-align: middle;\n  background-color: #777777;\n  border-radius: 10px;\n}\n.badge:empty {\n  display: none;\n}\n.btn .badge {\n  position: relative;\n  top: -1px;\n}\n.btn-xs .badge,\n.btn-group-xs > .btn .badge {\n  top: 0;\n  padding: 1px 5px;\n}\na.badge:hover,\na.badge:focus {\n  color: #fff;\n  text-decoration: none;\n  cursor: pointer;\n}\n.list-group-item.active > .badge,\n.nav-pills > .active > a > .badge {\n  color: #337ab7;\n  background-color: #fff;\n}\n.list-group-item > .badge {\n  float: right;\n}\n.list-group-item > .badge + .badge {\n  margin-right: 5px;\n}\n.nav-pills > li > a > .badge {\n  margin-left: 3px;\n}\n.jumbotron {\n  padding-top: 30px;\n  padding-bottom: 30px;\n  margin-bottom: 30px;\n  color: inherit;\n  background-color: #eeeeee;\n}\n.jumbotron h1,\n.jumbotron .h1 {\n  color: inherit;\n}\n.jumbotron p {\n  margin-bottom: 15px;\n  font-size: 21px;\n  font-weight: 200;\n}\n.jumbotron > hr {\n  border-top-color: #d5d5d5;\n}\n.container .jumbotron,\n.container-fluid .jumbotron {\n  padding-right: 15px;\n  padding-left: 15px;\n  border-radius: 6px;\n}\n.jumbotron .container {\n  max-width: 100%;\n}\n@media screen and (min-width: 768px) {\n  .jumbotron {\n    padding-top: 48px;\n    padding-bottom: 48px;\n  }\n  .container .jumbotron,\n  .container-fluid .jumbotron {\n    padding-right: 60px;\n    padding-left: 60px;\n  }\n  .jumbotron h1,\n  .jumbotron .h1 {\n    font-size: 63px;\n  }\n}\n.thumbnail {\n  display: block;\n  padding: 4px;\n  margin-bottom: 20px;\n  line-height: 1.42857143;\n  background-color: #fff;\n  border: 1px solid #ddd;\n  border-radius: 4px;\n  -webkit-transition: border 0.2s ease-in-out;\n  -o-transition: border 0.2s ease-in-out;\n  transition: border 0.2s ease-in-out;\n}\n.thumbnail > img,\n.thumbnail a > img {\n  margin-right: auto;\n  margin-left: auto;\n}\na.thumbnail:hover,\na.thumbnail:focus,\na.thumbnail.active {\n  border-color: #337ab7;\n}\n.thumbnail .caption {\n  padding: 9px;\n  color: #333333;\n}\n.alert {\n  padding: 15px;\n  margin-bottom: 20px;\n  border: 1px solid transparent;\n  border-radius: 4px;\n}\n.alert h4 {\n  margin-top: 0;\n  color: inherit;\n}\n.alert .alert-link {\n  font-weight: bold;\n}\n.alert > p,\n.alert > ul {\n  margin-bottom: 0;\n}\n.alert > p + p {\n  margin-top: 5px;\n}\n.alert-dismissable,\n.alert-dismissible {\n  padding-right: 35px;\n}\n.alert-dismissable .close,\n.alert-dismissible .close {\n  position: relative;\n  top: -2px;\n  right: -21px;\n  color: inherit;\n}\n.alert-success {\n  color: #3c763d;\n  background-color: #dff0d8;\n  border-color: #d6e9c6;\n}\n.alert-success hr {\n  border-top-color: #c9e2b3;\n}\n.alert-success .alert-link {\n  color: #2b542c;\n}\n.alert-info {\n  color: #31708f;\n  background-color: #d9edf7;\n  border-color: #bce8f1;\n}\n.alert-info hr {\n  border-top-color: #a6e1ec;\n}\n.alert-info .alert-link {\n  color: #245269;\n}\n.alert-warning {\n  color: #8a6d3b;\n  background-color: #fcf8e3;\n  border-color: #faebcc;\n}\n.alert-warning hr {\n  border-top-color: #f7e1b5;\n}\n.alert-warning .alert-link {\n  color: #66512c;\n}\n.alert-danger {\n  color: #a94442;\n  background-color: #f2dede;\n  border-color: #ebccd1;\n}\n.alert-danger hr {\n  border-top-color: #e4b9c0;\n}\n.alert-danger .alert-link {\n  color: #843534;\n}\n@-webkit-keyframes progress-bar-stripes {\n  from {\n    background-position: 40px 0;\n  }\n  to {\n    background-position: 0 0;\n  }\n}\n@keyframes progress-bar-stripes {\n  from {\n    background-position: 40px 0;\n  }\n  to {\n    background-position: 0 0;\n  }\n}\n.progress {\n  height: 20px;\n  margin-bottom: 20px;\n  overflow: hidden;\n  background-color: #f5f5f5;\n  border-radius: 4px;\n  -webkit-box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);\n  box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);\n}\n.progress-bar {\n  float: left;\n  width: 0%;\n  height: 100%;\n  font-size: 12px;\n  line-height: 20px;\n  color: #fff;\n  text-align: center;\n  background-color: #337ab7;\n  -webkit-box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15);\n  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15);\n  -webkit-transition: width 0.6s ease;\n  -o-transition: width 0.6s ease;\n  transition: width 0.6s ease;\n}\n.progress-striped .progress-bar,\n.progress-bar-striped {\n  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n  background-size: 40px 40px;\n}\n.progress.active .progress-bar,\n.progress-bar.active {\n  -webkit-animation: progress-bar-stripes 2s linear infinite;\n  -o-animation: progress-bar-stripes 2s linear infinite;\n  animation: progress-bar-stripes 2s linear infinite;\n}\n.progress-bar-success {\n  background-color: #5cb85c;\n}\n.progress-striped .progress-bar-success {\n  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n}\n.progress-bar-info {\n  background-color: #5bc0de;\n}\n.progress-striped .progress-bar-info {\n  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n}\n.progress-bar-warning {\n  background-color: #f0ad4e;\n}\n.progress-striped .progress-bar-warning {\n  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n}\n.progress-bar-danger {\n  background-color: #d9534f;\n}\n.progress-striped .progress-bar-danger {\n  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n}\n.media {\n  margin-top: 15px;\n}\n.media:first-child {\n  margin-top: 0;\n}\n.media,\n.media-body {\n  overflow: hidden;\n  zoom: 1;\n}\n.media-body {\n  width: 10000px;\n}\n.media-object {\n  display: block;\n}\n.media-object.img-thumbnail {\n  max-width: none;\n}\n.media-right,\n.media > .pull-right {\n  padding-left: 10px;\n}\n.media-left,\n.media > .pull-left {\n  padding-right: 10px;\n}\n.media-left,\n.media-right,\n.media-body {\n  display: table-cell;\n  vertical-align: top;\n}\n.media-middle {\n  vertical-align: middle;\n}\n.media-bottom {\n  vertical-align: bottom;\n}\n.media-heading {\n  margin-top: 0;\n  margin-bottom: 5px;\n}\n.media-list {\n  padding-left: 0;\n  list-style: none;\n}\n.list-group {\n  padding-left: 0;\n  margin-bottom: 20px;\n}\n.list-group-item {\n  position: relative;\n  display: block;\n  padding: 10px 15px;\n  margin-bottom: -1px;\n  background-color: #fff;\n  border: 1px solid #ddd;\n}\n.list-group-item:first-child {\n  border-top-left-radius: 4px;\n  border-top-right-radius: 4px;\n}\n.list-group-item:last-child {\n  margin-bottom: 0;\n  border-bottom-right-radius: 4px;\n  border-bottom-left-radius: 4px;\n}\n.list-group-item.disabled,\n.list-group-item.disabled:hover,\n.list-group-item.disabled:focus {\n  color: #777777;\n  cursor: not-allowed;\n  background-color: #eeeeee;\n}\n.list-group-item.disabled .list-group-item-heading,\n.list-group-item.disabled:hover .list-group-item-heading,\n.list-group-item.disabled:focus .list-group-item-heading {\n  color: inherit;\n}\n.list-group-item.disabled .list-group-item-text,\n.list-group-item.disabled:hover .list-group-item-text,\n.list-group-item.disabled:focus .list-group-item-text {\n  color: #777777;\n}\n.list-group-item.active,\n.list-group-item.active:hover,\n.list-group-item.active:focus {\n  z-index: 2;\n  color: #fff;\n  background-color: #337ab7;\n  border-color: #337ab7;\n}\n.list-group-item.active .list-group-item-heading,\n.list-group-item.active:hover .list-group-item-heading,\n.list-group-item.active:focus .list-group-item-heading,\n.list-group-item.active .list-group-item-heading > small,\n.list-group-item.active:hover .list-group-item-heading > small,\n.list-group-item.active:focus .list-group-item-heading > small,\n.list-group-item.active .list-group-item-heading > .small,\n.list-group-item.active:hover .list-group-item-heading > .small,\n.list-group-item.active:focus .list-group-item-heading > .small {\n  color: inherit;\n}\n.list-group-item.active .list-group-item-text,\n.list-group-item.active:hover .list-group-item-text,\n.list-group-item.active:focus .list-group-item-text {\n  color: #c7ddef;\n}\na.list-group-item,\nbutton.list-group-item {\n  color: #555;\n}\na.list-group-item .list-group-item-heading,\nbutton.list-group-item .list-group-item-heading {\n  color: #333;\n}\na.list-group-item:hover,\nbutton.list-group-item:hover,\na.list-group-item:focus,\nbutton.list-group-item:focus {\n  color: #555;\n  text-decoration: none;\n  background-color: #f5f5f5;\n}\nbutton.list-group-item {\n  width: 100%;\n  text-align: left;\n}\n.list-group-item-success {\n  color: #3c763d;\n  background-color: #dff0d8;\n}\na.list-group-item-success,\nbutton.list-group-item-success {\n  color: #3c763d;\n}\na.list-group-item-success .list-group-item-heading,\nbutton.list-group-item-success .list-group-item-heading {\n  color: inherit;\n}\na.list-group-item-success:hover,\nbutton.list-group-item-success:hover,\na.list-group-item-success:focus,\nbutton.list-group-item-success:focus {\n  color: #3c763d;\n  background-color: #d0e9c6;\n}\na.list-group-item-success.active,\nbutton.list-group-item-success.active,\na.list-group-item-success.active:hover,\nbutton.list-group-item-success.active:hover,\na.list-group-item-success.active:focus,\nbutton.list-group-item-success.active:focus {\n  color: #fff;\n  background-color: #3c763d;\n  border-color: #3c763d;\n}\n.list-group-item-info {\n  color: #31708f;\n  background-color: #d9edf7;\n}\na.list-group-item-info,\nbutton.list-group-item-info {\n  color: #31708f;\n}\na.list-group-item-info .list-group-item-heading,\nbutton.list-group-item-info .list-group-item-heading {\n  color: inherit;\n}\na.list-group-item-info:hover,\nbutton.list-group-item-info:hover,\na.list-group-item-info:focus,\nbutton.list-group-item-info:focus {\n  color: #31708f;\n  background-color: #c4e3f3;\n}\na.list-group-item-info.active,\nbutton.list-group-item-info.active,\na.list-group-item-info.active:hover,\nbutton.list-group-item-info.active:hover,\na.list-group-item-info.active:focus,\nbutton.list-group-item-info.active:focus {\n  color: #fff;\n  background-color: #31708f;\n  border-color: #31708f;\n}\n.list-group-item-warning {\n  color: #8a6d3b;\n  background-color: #fcf8e3;\n}\na.list-group-item-warning,\nbutton.list-group-item-warning {\n  color: #8a6d3b;\n}\na.list-group-item-warning .list-group-item-heading,\nbutton.list-group-item-warning .list-group-item-heading {\n  color: inherit;\n}\na.list-group-item-warning:hover,\nbutton.list-group-item-warning:hover,\na.list-group-item-warning:focus,\nbutton.list-group-item-warning:focus {\n  color: #8a6d3b;\n  background-color: #faf2cc;\n}\na.list-group-item-warning.active,\nbutton.list-group-item-warning.active,\na.list-group-item-warning.active:hover,\nbutton.list-group-item-warning.active:hover,\na.list-group-item-warning.active:focus,\nbutton.list-group-item-warning.active:focus {\n  color: #fff;\n  background-color: #8a6d3b;\n  border-color: #8a6d3b;\n}\n.list-group-item-danger {\n  color: #a94442;\n  background-color: #f2dede;\n}\na.list-group-item-danger,\nbutton.list-group-item-danger {\n  color: #a94442;\n}\na.list-group-item-danger .list-group-item-heading,\nbutton.list-group-item-danger .list-group-item-heading {\n  color: inherit;\n}\na.list-group-item-danger:hover,\nbutton.list-group-item-danger:hover,\na.list-group-item-danger:focus,\nbutton.list-group-item-danger:focus {\n  color: #a94442;\n  background-color: #ebcccc;\n}\na.list-group-item-danger.active,\nbutton.list-group-item-danger.active,\na.list-group-item-danger.active:hover,\nbutton.list-group-item-danger.active:hover,\na.list-group-item-danger.active:focus,\nbutton.list-group-item-danger.active:focus {\n  color: #fff;\n  background-color: #a94442;\n  border-color: #a94442;\n}\n.list-group-item-heading {\n  margin-top: 0;\n  margin-bottom: 5px;\n}\n.list-group-item-text {\n  margin-bottom: 0;\n  line-height: 1.3;\n}\n.panel {\n  margin-bottom: 20px;\n  background-color: #fff;\n  border: 1px solid transparent;\n  border-radius: 4px;\n  -webkit-box-shadow: 0 1px 1px rgba(0, 0, 0, 0.05);\n  box-shadow: 0 1px 1px rgba(0, 0, 0, 0.05);\n}\n.panel-body {\n  padding: 15px;\n}\n.panel-heading {\n  padding: 10px 15px;\n  border-bottom: 1px solid transparent;\n  border-top-left-radius: 3px;\n  border-top-right-radius: 3px;\n}\n.panel-heading > .dropdown .dropdown-toggle {\n  color: inherit;\n}\n.panel-title {\n  margin-top: 0;\n  margin-bottom: 0;\n  font-size: 16px;\n  color: inherit;\n}\n.panel-title > a,\n.panel-title > small,\n.panel-title > .small,\n.panel-title > small > a,\n.panel-title > .small > a {\n  color: inherit;\n}\n.panel-footer {\n  padding: 10px 15px;\n  background-color: #f5f5f5;\n  border-top: 1px solid #ddd;\n  border-bottom-right-radius: 3px;\n  border-bottom-left-radius: 3px;\n}\n.panel > .list-group,\n.panel > .panel-collapse > .list-group {\n  margin-bottom: 0;\n}\n.panel > .list-group .list-group-item,\n.panel > .panel-collapse > .list-group .list-group-item {\n  border-width: 1px 0;\n  border-radius: 0;\n}\n.panel > .list-group:first-child .list-group-item:first-child,\n.panel > .panel-collapse > .list-group:first-child .list-group-item:first-child {\n  border-top: 0;\n  border-top-left-radius: 3px;\n  border-top-right-radius: 3px;\n}\n.panel > .list-group:last-child .list-group-item:last-child,\n.panel > .panel-collapse > .list-group:last-child .list-group-item:last-child {\n  border-bottom: 0;\n  border-bottom-right-radius: 3px;\n  border-bottom-left-radius: 3px;\n}\n.panel > .panel-heading + .panel-collapse > .list-group .list-group-item:first-child {\n  border-top-left-radius: 0;\n  border-top-right-radius: 0;\n}\n.panel-heading + .list-group .list-group-item:first-child {\n  border-top-width: 0;\n}\n.list-group + .panel-footer {\n  border-top-width: 0;\n}\n.panel > .table,\n.panel > .table-responsive > .table,\n.panel > .panel-collapse > .table {\n  margin-bottom: 0;\n}\n.panel > .table caption,\n.panel > .table-responsive > .table caption,\n.panel > .panel-collapse > .table caption {\n  padding-right: 15px;\n  padding-left: 15px;\n}\n.panel > .table:first-child,\n.panel > .table-responsive:first-child > .table:first-child {\n  border-top-left-radius: 3px;\n  border-top-right-radius: 3px;\n}\n.panel > .table:first-child > thead:first-child > tr:first-child,\n.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child,\n.panel > .table:first-child > tbody:first-child > tr:first-child,\n.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child {\n  border-top-left-radius: 3px;\n  border-top-right-radius: 3px;\n}\n.panel > .table:first-child > thead:first-child > tr:first-child td:first-child,\n.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child td:first-child,\n.panel > .table:first-child > tbody:first-child > tr:first-child td:first-child,\n.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child td:first-child,\n.panel > .table:first-child > thead:first-child > tr:first-child th:first-child,\n.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child th:first-child,\n.panel > .table:first-child > tbody:first-child > tr:first-child th:first-child,\n.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child th:first-child {\n  border-top-left-radius: 3px;\n}\n.panel > .table:first-child > thead:first-child > tr:first-child td:last-child,\n.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child td:last-child,\n.panel > .table:first-child > tbody:first-child > tr:first-child td:last-child,\n.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child td:last-child,\n.panel > .table:first-child > thead:first-child > tr:first-child th:last-child,\n.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child th:last-child,\n.panel > .table:first-child > tbody:first-child > tr:first-child th:last-child,\n.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child th:last-child {\n  border-top-right-radius: 3px;\n}\n.panel > .table:last-child,\n.panel > .table-responsive:last-child > .table:last-child {\n  border-bottom-right-radius: 3px;\n  border-bottom-left-radius: 3px;\n}\n.panel > .table:last-child > tbody:last-child > tr:last-child,\n.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child,\n.panel > .table:last-child > tfoot:last-child > tr:last-child,\n.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child {\n  border-bottom-right-radius: 3px;\n  border-bottom-left-radius: 3px;\n}\n.panel > .table:last-child > tbody:last-child > tr:last-child td:first-child,\n.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child td:first-child,\n.panel > .table:last-child > tfoot:last-child > tr:last-child td:first-child,\n.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child td:first-child,\n.panel > .table:last-child > tbody:last-child > tr:last-child th:first-child,\n.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child th:first-child,\n.panel > .table:last-child > tfoot:last-child > tr:last-child th:first-child,\n.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child th:first-child {\n  border-bottom-left-radius: 3px;\n}\n.panel > .table:last-child > tbody:last-child > tr:last-child td:last-child,\n.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child td:last-child,\n.panel > .table:last-child > tfoot:last-child > tr:last-child td:last-child,\n.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child td:last-child,\n.panel > .table:last-child > tbody:last-child > tr:last-child th:last-child,\n.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child th:last-child,\n.panel > .table:last-child > tfoot:last-child > tr:last-child th:last-child,\n.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child th:last-child {\n  border-bottom-right-radius: 3px;\n}\n.panel > .panel-body + .table,\n.panel > .panel-body + .table-responsive,\n.panel > .table + .panel-body,\n.panel > .table-responsive + .panel-body {\n  border-top: 1px solid #ddd;\n}\n.panel > .table > tbody:first-child > tr:first-child th,\n.panel > .table > tbody:first-child > tr:first-child td {\n  border-top: 0;\n}\n.panel > .table-bordered,\n.panel > .table-responsive > .table-bordered {\n  border: 0;\n}\n.panel > .table-bordered > thead > tr > th:first-child,\n.panel > .table-responsive > .table-bordered > thead > tr > th:first-child,\n.panel > .table-bordered > tbody > tr > th:first-child,\n.panel > .table-responsive > .table-bordered > tbody > tr > th:first-child,\n.panel > .table-bordered > tfoot > tr > th:first-child,\n.panel > .table-responsive > .table-bordered > tfoot > tr > th:first-child,\n.panel > .table-bordered > thead > tr > td:first-child,\n.panel > .table-responsive > .table-bordered > thead > tr > td:first-child,\n.panel > .table-bordered > tbody > tr > td:first-child,\n.panel > .table-responsive > .table-bordered > tbody > tr > td:first-child,\n.panel > .table-bordered > tfoot > tr > td:first-child,\n.panel > .table-responsive > .table-bordered > tfoot > tr > td:first-child {\n  border-left: 0;\n}\n.panel > .table-bordered > thead > tr > th:last-child,\n.panel > .table-responsive > .table-bordered > thead > tr > th:last-child,\n.panel > .table-bordered > tbody > tr > th:last-child,\n.panel > .table-responsive > .table-bordered > tbody > tr > th:last-child,\n.panel > .table-bordered > tfoot > tr > th:last-child,\n.panel > .table-responsive > .table-bordered > tfoot > tr > th:last-child,\n.panel > .table-bordered > thead > tr > td:last-child,\n.panel > .table-responsive > .table-bordered > thead > tr > td:last-child,\n.panel > .table-bordered > tbody > tr > td:last-child,\n.panel > .table-responsive > .table-bordered > tbody > tr > td:last-child,\n.panel > .table-bordered > tfoot > tr > td:last-child,\n.panel > .table-responsive > .table-bordered > tfoot > tr > td:last-child {\n  border-right: 0;\n}\n.panel > .table-bordered > thead > tr:first-child > td,\n.panel > .table-responsive > .table-bordered > thead > tr:first-child > td,\n.panel > .table-bordered > tbody > tr:first-child > td,\n.panel > .table-responsive > .table-bordered > tbody > tr:first-child > td,\n.panel > .table-bordered > thead > tr:first-child > th,\n.panel > .table-responsive > .table-bordered > thead > tr:first-child > th,\n.panel > .table-bordered > tbody > tr:first-child > th,\n.panel > .table-responsive > .table-bordered > tbody > tr:first-child > th {\n  border-bottom: 0;\n}\n.panel > .table-bordered > tbody > tr:last-child > td,\n.panel > .table-responsive > .table-bordered > tbody > tr:last-child > td,\n.panel > .table-bordered > tfoot > tr:last-child > td,\n.panel > .table-responsive > .table-bordered > tfoot > tr:last-child > td,\n.panel > .table-bordered > tbody > tr:last-child > th,\n.panel > .table-responsive > .table-bordered > tbody > tr:last-child > th,\n.panel > .table-bordered > tfoot > tr:last-child > th,\n.panel > .table-responsive > .table-bordered > tfoot > tr:last-child > th {\n  border-bottom: 0;\n}\n.panel > .table-responsive {\n  margin-bottom: 0;\n  border: 0;\n}\n.panel-group {\n  margin-bottom: 20px;\n}\n.panel-group .panel {\n  margin-bottom: 0;\n  border-radius: 4px;\n}\n.panel-group .panel + .panel {\n  margin-top: 5px;\n}\n.panel-group .panel-heading {\n  border-bottom: 0;\n}\n.panel-group .panel-heading + .panel-collapse > .panel-body,\n.panel-group .panel-heading + .panel-collapse > .list-group {\n  border-top: 1px solid #ddd;\n}\n.panel-group .panel-footer {\n  border-top: 0;\n}\n.panel-group .panel-footer + .panel-collapse .panel-body {\n  border-bottom: 1px solid #ddd;\n}\n.panel-default {\n  border-color: #ddd;\n}\n.panel-default > .panel-heading {\n  color: #333333;\n  background-color: #f5f5f5;\n  border-color: #ddd;\n}\n.panel-default > .panel-heading + .panel-collapse > .panel-body {\n  border-top-color: #ddd;\n}\n.panel-default > .panel-heading .badge {\n  color: #f5f5f5;\n  background-color: #333333;\n}\n.panel-default > .panel-footer + .panel-collapse > .panel-body {\n  border-bottom-color: #ddd;\n}\n.panel-primary {\n  border-color: #337ab7;\n}\n.panel-primary > .panel-heading {\n  color: #fff;\n  background-color: #337ab7;\n  border-color: #337ab7;\n}\n.panel-primary > .panel-heading + .panel-collapse > .panel-body {\n  border-top-color: #337ab7;\n}\n.panel-primary > .panel-heading .badge {\n  color: #337ab7;\n  background-color: #fff;\n}\n.panel-primary > .panel-footer + .panel-collapse > .panel-body {\n  border-bottom-color: #337ab7;\n}\n.panel-success {\n  border-color: #d6e9c6;\n}\n.panel-success > .panel-heading {\n  color: #3c763d;\n  background-color: #dff0d8;\n  border-color: #d6e9c6;\n}\n.panel-success > .panel-heading + .panel-collapse > .panel-body {\n  border-top-color: #d6e9c6;\n}\n.panel-success > .panel-heading .badge {\n  color: #dff0d8;\n  background-color: #3c763d;\n}\n.panel-success > .panel-footer + .panel-collapse > .panel-body {\n  border-bottom-color: #d6e9c6;\n}\n.panel-info {\n  border-color: #bce8f1;\n}\n.panel-info > .panel-heading {\n  color: #31708f;\n  background-color: #d9edf7;\n  border-color: #bce8f1;\n}\n.panel-info > .panel-heading + .panel-collapse > .panel-body {\n  border-top-color: #bce8f1;\n}\n.panel-info > .panel-heading .badge {\n  color: #d9edf7;\n  background-color: #31708f;\n}\n.panel-info > .panel-footer + .panel-collapse > .panel-body {\n  border-bottom-color: #bce8f1;\n}\n.panel-warning {\n  border-color: #faebcc;\n}\n.panel-warning > .panel-heading {\n  color: #8a6d3b;\n  background-color: #fcf8e3;\n  border-color: #faebcc;\n}\n.panel-warning > .panel-heading + .panel-collapse > .panel-body {\n  border-top-color: #faebcc;\n}\n.panel-warning > .panel-heading .badge {\n  color: #fcf8e3;\n  background-color: #8a6d3b;\n}\n.panel-warning > .panel-footer + .panel-collapse > .panel-body {\n  border-bottom-color: #faebcc;\n}\n.panel-danger {\n  border-color: #ebccd1;\n}\n.panel-danger > .panel-heading {\n  color: #a94442;\n  background-color: #f2dede;\n  border-color: #ebccd1;\n}\n.panel-danger > .panel-heading + .panel-collapse > .panel-body {\n  border-top-color: #ebccd1;\n}\n.panel-danger > .panel-heading .badge {\n  color: #f2dede;\n  background-color: #a94442;\n}\n.panel-danger > .panel-footer + .panel-collapse > .panel-body {\n  border-bottom-color: #ebccd1;\n}\n.embed-responsive {\n  position: relative;\n  display: block;\n  height: 0;\n  padding: 0;\n  overflow: hidden;\n}\n.embed-responsive .embed-responsive-item,\n.embed-responsive iframe,\n.embed-responsive embed,\n.embed-responsive object,\n.embed-responsive video {\n  position: absolute;\n  top: 0;\n  bottom: 0;\n  left: 0;\n  width: 100%;\n  height: 100%;\n  border: 0;\n}\n.embed-responsive-16by9 {\n  padding-bottom: 56.25%;\n}\n.embed-responsive-4by3 {\n  padding-bottom: 75%;\n}\n.well {\n  min-height: 20px;\n  padding: 19px;\n  margin-bottom: 20px;\n  background-color: #f5f5f5;\n  border: 1px solid #e3e3e3;\n  border-radius: 4px;\n  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);\n  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);\n}\n.well blockquote {\n  border-color: #ddd;\n  border-color: rgba(0, 0, 0, 0.15);\n}\n.well-lg {\n  padding: 24px;\n  border-radius: 6px;\n}\n.well-sm {\n  padding: 9px;\n  border-radius: 3px;\n}\n.close {\n  float: right;\n  font-size: 21px;\n  font-weight: bold;\n  line-height: 1;\n  color: #000;\n  text-shadow: 0 1px 0 #fff;\n  filter: alpha(opacity=20);\n  opacity: 0.2;\n}\n.close:hover,\n.close:focus {\n  color: #000;\n  text-decoration: none;\n  cursor: pointer;\n  filter: alpha(opacity=50);\n  opacity: 0.5;\n}\nbutton.close {\n  padding: 0;\n  cursor: pointer;\n  background: transparent;\n  border: 0;\n  -webkit-appearance: none;\n  appearance: none;\n}\n.modal-open {\n  overflow: hidden;\n}\n.modal {\n  position: fixed;\n  top: 0;\n  right: 0;\n  bottom: 0;\n  left: 0;\n  z-index: 1050;\n  display: none;\n  overflow: hidden;\n  -webkit-overflow-scrolling: touch;\n  outline: 0;\n}\n.modal.fade .modal-dialog {\n  -webkit-transform: translate(0, -25%);\n  -ms-transform: translate(0, -25%);\n  -o-transform: translate(0, -25%);\n  transform: translate(0, -25%);\n  -webkit-transition: -webkit-transform 0.3s ease-out;\n  -moz-transition: -moz-transform 0.3s ease-out;\n  -o-transition: -o-transform 0.3s ease-out;\n  transition: transform 0.3s ease-out;\n}\n.modal.in .modal-dialog {\n  -webkit-transform: translate(0, 0);\n  -ms-transform: translate(0, 0);\n  -o-transform: translate(0, 0);\n  transform: translate(0, 0);\n}\n.modal-open .modal {\n  overflow-x: hidden;\n  overflow-y: auto;\n}\n.modal-dialog {\n  position: relative;\n  width: auto;\n  margin: 10px;\n}\n.modal-content {\n  position: relative;\n  background-color: #fff;\n  background-clip: padding-box;\n  border: 1px solid #999;\n  border: 1px solid rgba(0, 0, 0, 0.2);\n  border-radius: 6px;\n  -webkit-box-shadow: 0 3px 9px rgba(0, 0, 0, 0.5);\n  box-shadow: 0 3px 9px rgba(0, 0, 0, 0.5);\n  outline: 0;\n}\n.modal-backdrop {\n  position: fixed;\n  top: 0;\n  right: 0;\n  bottom: 0;\n  left: 0;\n  z-index: 1040;\n  background-color: #000;\n}\n.modal-backdrop.fade {\n  filter: alpha(opacity=0);\n  opacity: 0;\n}\n.modal-backdrop.in {\n  filter: alpha(opacity=50);\n  opacity: 0.5;\n}\n.modal-header {\n  padding: 15px;\n  border-bottom: 1px solid #e5e5e5;\n}\n.modal-header .close {\n  margin-top: -2px;\n}\n.modal-title {\n  margin: 0;\n  line-height: 1.42857143;\n}\n.modal-body {\n  position: relative;\n  padding: 15px;\n}\n.modal-footer {\n  padding: 15px;\n  text-align: right;\n  border-top: 1px solid #e5e5e5;\n}\n.modal-footer .btn + .btn {\n  margin-bottom: 0;\n  margin-left: 5px;\n}\n.modal-footer .btn-group .btn + .btn {\n  margin-left: -1px;\n}\n.modal-footer .btn-block + .btn-block {\n  margin-left: 0;\n}\n.modal-scrollbar-measure {\n  position: absolute;\n  top: -9999px;\n  width: 50px;\n  height: 50px;\n  overflow: scroll;\n}\n@media (min-width: 768px) {\n  .modal-dialog {\n    width: 600px;\n    margin: 30px auto;\n  }\n  .modal-content {\n    -webkit-box-shadow: 0 5px 15px rgba(0, 0, 0, 0.5);\n    box-shadow: 0 5px 15px rgba(0, 0, 0, 0.5);\n  }\n  .modal-sm {\n    width: 300px;\n  }\n}\n@media (min-width: 992px) {\n  .modal-lg {\n    width: 900px;\n  }\n}\n.tooltip {\n  position: absolute;\n  z-index: 1070;\n  display: block;\n  font-family: \"Helvetica Neue\", Helvetica, Arial, sans-serif;\n  font-style: normal;\n  font-weight: 400;\n  line-height: 1.42857143;\n  line-break: auto;\n  text-align: left;\n  text-align: start;\n  text-decoration: none;\n  text-shadow: none;\n  text-transform: none;\n  letter-spacing: normal;\n  word-break: normal;\n  word-spacing: normal;\n  word-wrap: normal;\n  white-space: normal;\n  font-size: 12px;\n  filter: alpha(opacity=0);\n  opacity: 0;\n}\n.tooltip.in {\n  filter: alpha(opacity=90);\n  opacity: 0.9;\n}\n.tooltip.top {\n  padding: 5px 0;\n  margin-top: -3px;\n}\n.tooltip.right {\n  padding: 0 5px;\n  margin-left: 3px;\n}\n.tooltip.bottom {\n  padding: 5px 0;\n  margin-top: 3px;\n}\n.tooltip.left {\n  padding: 0 5px;\n  margin-left: -3px;\n}\n.tooltip.top .tooltip-arrow {\n  bottom: 0;\n  left: 50%;\n  margin-left: -5px;\n  border-width: 5px 5px 0;\n  border-top-color: #000;\n}\n.tooltip.top-left .tooltip-arrow {\n  right: 5px;\n  bottom: 0;\n  margin-bottom: -5px;\n  border-width: 5px 5px 0;\n  border-top-color: #000;\n}\n.tooltip.top-right .tooltip-arrow {\n  bottom: 0;\n  left: 5px;\n  margin-bottom: -5px;\n  border-width: 5px 5px 0;\n  border-top-color: #000;\n}\n.tooltip.right .tooltip-arrow {\n  top: 50%;\n  left: 0;\n  margin-top: -5px;\n  border-width: 5px 5px 5px 0;\n  border-right-color: #000;\n}\n.tooltip.left .tooltip-arrow {\n  top: 50%;\n  right: 0;\n  margin-top: -5px;\n  border-width: 5px 0 5px 5px;\n  border-left-color: #000;\n}\n.tooltip.bottom .tooltip-arrow {\n  top: 0;\n  left: 50%;\n  margin-left: -5px;\n  border-width: 0 5px 5px;\n  border-bottom-color: #000;\n}\n.tooltip.bottom-left .tooltip-arrow {\n  top: 0;\n  right: 5px;\n  margin-top: -5px;\n  border-width: 0 5px 5px;\n  border-bottom-color: #000;\n}\n.tooltip.bottom-right .tooltip-arrow {\n  top: 0;\n  left: 5px;\n  margin-top: -5px;\n  border-width: 0 5px 5px;\n  border-bottom-color: #000;\n}\n.tooltip-inner {\n  max-width: 200px;\n  padding: 3px 8px;\n  color: #fff;\n  text-align: center;\n  background-color: #000;\n  border-radius: 4px;\n}\n.tooltip-arrow {\n  position: absolute;\n  width: 0;\n  height: 0;\n  border-color: transparent;\n  border-style: solid;\n}\n.popover {\n  position: absolute;\n  top: 0;\n  left: 0;\n  z-index: 1060;\n  display: none;\n  max-width: 276px;\n  padding: 1px;\n  font-family: \"Helvetica Neue\", Helvetica, Arial, sans-serif;\n  font-style: normal;\n  font-weight: 400;\n  line-height: 1.42857143;\n  line-break: auto;\n  text-align: left;\n  text-align: start;\n  text-decoration: none;\n  text-shadow: none;\n  text-transform: none;\n  letter-spacing: normal;\n  word-break: normal;\n  word-spacing: normal;\n  word-wrap: normal;\n  white-space: normal;\n  font-size: 14px;\n  background-color: #fff;\n  background-clip: padding-box;\n  border: 1px solid #ccc;\n  border: 1px solid rgba(0, 0, 0, 0.2);\n  border-radius: 6px;\n  -webkit-box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);\n  box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);\n}\n.popover.top {\n  margin-top: -10px;\n}\n.popover.right {\n  margin-left: 10px;\n}\n.popover.bottom {\n  margin-top: 10px;\n}\n.popover.left {\n  margin-left: -10px;\n}\n.popover > .arrow {\n  border-width: 11px;\n}\n.popover > .arrow,\n.popover > .arrow:after {\n  position: absolute;\n  display: block;\n  width: 0;\n  height: 0;\n  border-color: transparent;\n  border-style: solid;\n}\n.popover > .arrow:after {\n  content: \"\";\n  border-width: 10px;\n}\n.popover.top > .arrow {\n  bottom: -11px;\n  left: 50%;\n  margin-left: -11px;\n  border-top-color: #999999;\n  border-top-color: rgba(0, 0, 0, 0.25);\n  border-bottom-width: 0;\n}\n.popover.top > .arrow:after {\n  bottom: 1px;\n  margin-left: -10px;\n  content: \" \";\n  border-top-color: #fff;\n  border-bottom-width: 0;\n}\n.popover.right > .arrow {\n  top: 50%;\n  left: -11px;\n  margin-top: -11px;\n  border-right-color: #999999;\n  border-right-color: rgba(0, 0, 0, 0.25);\n  border-left-width: 0;\n}\n.popover.right > .arrow:after {\n  bottom: -10px;\n  left: 1px;\n  content: \" \";\n  border-right-color: #fff;\n  border-left-width: 0;\n}\n.popover.bottom > .arrow {\n  top: -11px;\n  left: 50%;\n  margin-left: -11px;\n  border-top-width: 0;\n  border-bottom-color: #999999;\n  border-bottom-color: rgba(0, 0, 0, 0.25);\n}\n.popover.bottom > .arrow:after {\n  top: 1px;\n  margin-left: -10px;\n  content: \" \";\n  border-top-width: 0;\n  border-bottom-color: #fff;\n}\n.popover.left > .arrow {\n  top: 50%;\n  right: -11px;\n  margin-top: -11px;\n  border-right-width: 0;\n  border-left-color: #999999;\n  border-left-color: rgba(0, 0, 0, 0.25);\n}\n.popover.left > .arrow:after {\n  right: 1px;\n  bottom: -10px;\n  content: \" \";\n  border-right-width: 0;\n  border-left-color: #fff;\n}\n.popover-title {\n  padding: 8px 14px;\n  margin: 0;\n  font-size: 14px;\n  background-color: #f7f7f7;\n  border-bottom: 1px solid #ebebeb;\n  border-radius: 5px 5px 0 0;\n}\n.popover-content {\n  padding: 9px 14px;\n}\n.carousel {\n  position: relative;\n}\n.carousel-inner {\n  position: relative;\n  width: 100%;\n  overflow: hidden;\n}\n.carousel-inner > .item {\n  position: relative;\n  display: none;\n  -webkit-transition: 0.6s ease-in-out left;\n  -o-transition: 0.6s ease-in-out left;\n  transition: 0.6s ease-in-out left;\n}\n.carousel-inner > .item > img,\n.carousel-inner > .item > a > img {\n  line-height: 1;\n}\n@media all and (transform-3d), (-webkit-transform-3d) {\n  .carousel-inner > .item {\n    -webkit-transition: -webkit-transform 0.6s ease-in-out;\n    -moz-transition: -moz-transform 0.6s ease-in-out;\n    -o-transition: -o-transform 0.6s ease-in-out;\n    transition: transform 0.6s ease-in-out;\n    -webkit-backface-visibility: hidden;\n    -moz-backface-visibility: hidden;\n    backface-visibility: hidden;\n    -webkit-perspective: 1000px;\n    -moz-perspective: 1000px;\n    perspective: 1000px;\n  }\n  .carousel-inner > .item.next,\n  .carousel-inner > .item.active.right {\n    -webkit-transform: translate3d(100%, 0, 0);\n    transform: translate3d(100%, 0, 0);\n    left: 0;\n  }\n  .carousel-inner > .item.prev,\n  .carousel-inner > .item.active.left {\n    -webkit-transform: translate3d(-100%, 0, 0);\n    transform: translate3d(-100%, 0, 0);\n    left: 0;\n  }\n  .carousel-inner > .item.next.left,\n  .carousel-inner > .item.prev.right,\n  .carousel-inner > .item.active {\n    -webkit-transform: translate3d(0, 0, 0);\n    transform: translate3d(0, 0, 0);\n    left: 0;\n  }\n}\n.carousel-inner > .active,\n.carousel-inner > .next,\n.carousel-inner > .prev {\n  display: block;\n}\n.carousel-inner > .active {\n  left: 0;\n}\n.carousel-inner > .next,\n.carousel-inner > .prev {\n  position: absolute;\n  top: 0;\n  width: 100%;\n}\n.carousel-inner > .next {\n  left: 100%;\n}\n.carousel-inner > .prev {\n  left: -100%;\n}\n.carousel-inner > .next.left,\n.carousel-inner > .prev.right {\n  left: 0;\n}\n.carousel-inner > .active.left {\n  left: -100%;\n}\n.carousel-inner > .active.right {\n  left: 100%;\n}\n.carousel-control {\n  position: absolute;\n  top: 0;\n  bottom: 0;\n  left: 0;\n  width: 15%;\n  font-size: 20px;\n  color: #fff;\n  text-align: center;\n  text-shadow: 0 1px 2px rgba(0, 0, 0, 0.6);\n  background-color: rgba(0, 0, 0, 0);\n  filter: alpha(opacity=50);\n  opacity: 0.5;\n}\n.carousel-control.left {\n  background-image: -webkit-linear-gradient(left, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);\n  background-image: -o-linear-gradient(left, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);\n  background-image: linear-gradient(to right, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#80000000', endColorstr='#00000000', GradientType=1);\n  background-repeat: repeat-x;\n}\n.carousel-control.right {\n  right: 0;\n  left: auto;\n  background-image: -webkit-linear-gradient(left, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);\n  background-image: -o-linear-gradient(left, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);\n  background-image: linear-gradient(to right, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#00000000', endColorstr='#80000000', GradientType=1);\n  background-repeat: repeat-x;\n}\n.carousel-control:hover,\n.carousel-control:focus {\n  color: #fff;\n  text-decoration: none;\n  outline: 0;\n  filter: alpha(opacity=90);\n  opacity: 0.9;\n}\n.carousel-control .icon-prev,\n.carousel-control .icon-next,\n.carousel-control .glyphicon-chevron-left,\n.carousel-control .glyphicon-chevron-right {\n  position: absolute;\n  top: 50%;\n  z-index: 5;\n  display: inline-block;\n  margin-top: -10px;\n}\n.carousel-control .icon-prev,\n.carousel-control .glyphicon-chevron-left {\n  left: 50%;\n  margin-left: -10px;\n}\n.carousel-control .icon-next,\n.carousel-control .glyphicon-chevron-right {\n  right: 50%;\n  margin-right: -10px;\n}\n.carousel-control .icon-prev,\n.carousel-control .icon-next {\n  width: 20px;\n  height: 20px;\n  font-family: serif;\n  line-height: 1;\n}\n.carousel-control .icon-prev:before {\n  content: \"\\2039\";\n}\n.carousel-control .icon-next:before {\n  content: \"\\203a\";\n}\n.carousel-indicators {\n  position: absolute;\n  bottom: 10px;\n  left: 50%;\n  z-index: 15;\n  width: 60%;\n  padding-left: 0;\n  margin-left: -30%;\n  text-align: center;\n  list-style: none;\n}\n.carousel-indicators li {\n  display: inline-block;\n  width: 10px;\n  height: 10px;\n  margin: 1px;\n  text-indent: -999px;\n  cursor: pointer;\n  background-color: #000 \\9;\n  background-color: rgba(0, 0, 0, 0);\n  border: 1px solid #fff;\n  border-radius: 10px;\n}\n.carousel-indicators .active {\n  width: 12px;\n  height: 12px;\n  margin: 0;\n  background-color: #fff;\n}\n.carousel-caption {\n  position: absolute;\n  right: 15%;\n  bottom: 20px;\n  left: 15%;\n  z-index: 10;\n  padding-top: 20px;\n  padding-bottom: 20px;\n  color: #fff;\n  text-align: center;\n  text-shadow: 0 1px 2px rgba(0, 0, 0, 0.6);\n}\n.carousel-caption .btn {\n  text-shadow: none;\n}\n@media screen and (min-width: 768px) {\n  .carousel-control .glyphicon-chevron-left,\n  .carousel-control .glyphicon-chevron-right,\n  .carousel-control .icon-prev,\n  .carousel-control .icon-next {\n    width: 30px;\n    height: 30px;\n    margin-top: -10px;\n    font-size: 30px;\n  }\n  .carousel-control .glyphicon-chevron-left,\n  .carousel-control .icon-prev {\n    margin-left: -10px;\n  }\n  .carousel-control .glyphicon-chevron-right,\n  .carousel-control .icon-next {\n    margin-right: -10px;\n  }\n  .carousel-caption {\n    right: 20%;\n    left: 20%;\n    padding-bottom: 30px;\n  }\n  .carousel-indicators {\n    bottom: 20px;\n  }\n}\n.clearfix:before,\n.clearfix:after,\n.dl-horizontal dd:before,\n.dl-horizontal dd:after,\n.container:before,\n.container:after,\n.container-fluid:before,\n.container-fluid:after,\n.row:before,\n.row:after,\n.form-horizontal .form-group:before,\n.form-horizontal .form-group:after,\n.btn-toolbar:before,\n.btn-toolbar:after,\n.btn-group-vertical > .btn-group:before,\n.btn-group-vertical > .btn-group:after,\n.nav:before,\n.nav:after,\n.navbar:before,\n.navbar:after,\n.navbar-header:before,\n.navbar-header:after,\n.navbar-collapse:before,\n.navbar-collapse:after,\n.pager:before,\n.pager:after,\n.panel-body:before,\n.panel-body:after,\n.modal-header:before,\n.modal-header:after,\n.modal-footer:before,\n.modal-footer:after {\n  display: table;\n  content: \" \";\n}\n.clearfix:after,\n.dl-horizontal dd:after,\n.container:after,\n.container-fluid:after,\n.row:after,\n.form-horizontal .form-group:after,\n.btn-toolbar:after,\n.btn-group-vertical > .btn-group:after,\n.nav:after,\n.navbar:after,\n.navbar-header:after,\n.navbar-collapse:after,\n.pager:after,\n.panel-body:after,\n.modal-header:after,\n.modal-footer:after {\n  clear: both;\n}\n.center-block {\n  display: block;\n  margin-right: auto;\n  margin-left: auto;\n}\n.pull-right {\n  float: right !important;\n}\n.pull-left {\n  float: left !important;\n}\n.hide {\n  display: none !important;\n}\n.show {\n  display: block !important;\n}\n.invisible {\n  visibility: hidden;\n}\n.text-hide {\n  font: 0/0 a;\n  color: transparent;\n  text-shadow: none;\n  background-color: transparent;\n  border: 0;\n}\n.hidden {\n  display: none !important;\n}\n.affix {\n  position: fixed;\n}\n@-ms-viewport {\n  width: device-width;\n}\n.visible-xs,\n.visible-sm,\n.visible-md,\n.visible-lg {\n  display: none !important;\n}\n.visible-xs-block,\n.visible-xs-inline,\n.visible-xs-inline-block,\n.visible-sm-block,\n.visible-sm-inline,\n.visible-sm-inline-block,\n.visible-md-block,\n.visible-md-inline,\n.visible-md-inline-block,\n.visible-lg-block,\n.visible-lg-inline,\n.visible-lg-inline-block {\n  display: none !important;\n}\n@media (max-width: 767px) {\n  .visible-xs {\n    display: block !important;\n  }\n  table.visible-xs {\n    display: table !important;\n  }\n  tr.visible-xs {\n    display: table-row !important;\n  }\n  th.visible-xs,\n  td.visible-xs {\n    display: table-cell !important;\n  }\n}\n@media (max-width: 767px) {\n  .visible-xs-block {\n    display: block !important;\n  }\n}\n@media (max-width: 767px) {\n  .visible-xs-inline {\n    display: inline !important;\n  }\n}\n@media (max-width: 767px) {\n  .visible-xs-inline-block {\n    display: inline-block !important;\n  }\n}\n@media (min-width: 768px) and (max-width: 991px) {\n  .visible-sm {\n    display: block !important;\n  }\n  table.visible-sm {\n    display: table !important;\n  }\n  tr.visible-sm {\n    display: table-row !important;\n  }\n  th.visible-sm,\n  td.visible-sm {\n    display: table-cell !important;\n  }\n}\n@media (min-width: 768px) and (max-width: 991px) {\n  .visible-sm-block {\n    display: block !important;\n  }\n}\n@media (min-width: 768px) and (max-width: 991px) {\n  .visible-sm-inline {\n    display: inline !important;\n  }\n}\n@media (min-width: 768px) and (max-width: 991px) {\n  .visible-sm-inline-block {\n    display: inline-block !important;\n  }\n}\n@media (min-width: 992px) and (max-width: 1199px) {\n  .visible-md {\n    display: block !important;\n  }\n  table.visible-md {\n    display: table !important;\n  }\n  tr.visible-md {\n    display: table-row !important;\n  }\n  th.visible-md,\n  td.visible-md {\n    display: table-cell !important;\n  }\n}\n@media (min-width: 992px) and (max-width: 1199px) {\n  .visible-md-block {\n    display: block !important;\n  }\n}\n@media (min-width: 992px) and (max-width: 1199px) {\n  .visible-md-inline {\n    display: inline !important;\n  }\n}\n@media (min-width: 992px) and (max-width: 1199px) {\n  .visible-md-inline-block {\n    display: inline-block !important;\n  }\n}\n@media (min-width: 1200px) {\n  .visible-lg {\n    display: block !important;\n  }\n  table.visible-lg {\n    display: table !important;\n  }\n  tr.visible-lg {\n    display: table-row !important;\n  }\n  th.visible-lg,\n  td.visible-lg {\n    display: table-cell !important;\n  }\n}\n@media (min-width: 1200px) {\n  .visible-lg-block {\n    display: block !important;\n  }\n}\n@media (min-width: 1200px) {\n  .visible-lg-inline {\n    display: inline !important;\n  }\n}\n@media (min-width: 1200px) {\n  .visible-lg-inline-block {\n    display: inline-block !important;\n  }\n}\n@media (max-width: 767px) {\n  .hidden-xs {\n    display: none !important;\n  }\n}\n@media (min-width: 768px) and (max-width: 991px) {\n  .hidden-sm {\n    display: none !important;\n  }\n}\n@media (min-width: 992px) and (max-width: 1199px) {\n  .hidden-md {\n    display: none !important;\n  }\n}\n@media (min-width: 1200px) {\n  .hidden-lg {\n    display: none !important;\n  }\n}\n.visible-print {\n  display: none !important;\n}\n@media print {\n  .visible-print {\n    display: block !important;\n  }\n  table.visible-print {\n    display: table !important;\n  }\n  tr.visible-print {\n    display: table-row !important;\n  }\n  th.visible-print,\n  td.visible-print {\n    display: table-cell !important;\n  }\n}\n.visible-print-block {\n  display: none !important;\n}\n@media print {\n  .visible-print-block {\n    display: block !important;\n  }\n}\n.visible-print-inline {\n  display: none !important;\n}\n@media print {\n  .visible-print-inline {\n    display: inline !important;\n  }\n}\n.visible-print-inline-block {\n  display: none !important;\n}\n@media print {\n  .visible-print-inline-block {\n    display: inline-block !important;\n  }\n}\n@media print {\n  .hidden-print {\n    display: none !important;\n  }\n}\n/*# sourceMappingURL=bootstrap.css.map */","// stylelint-disable\n\n/*! normalize.css v3.0.3 | MIT License | github.com/necolas/normalize.css */\n\n//\n// 1. Set default font family to sans-serif.\n// 2. Prevent iOS and IE text size adjust after device orientation change,\n//    without disabling user zoom.\n//\n\nhtml {\n  font-family: sans-serif; // 1\n  -ms-text-size-adjust: 100%; // 2\n  -webkit-text-size-adjust: 100%; // 2\n}\n\n//\n// Remove default margin.\n//\n\nbody {\n  margin: 0;\n}\n\n// HTML5 display definitions\n// ==========================================================================\n\n//\n// Correct `block` display not defined for any HTML5 element in IE 8/9.\n// Correct `block` display not defined for `details` or `summary` in IE 10/11\n// and Firefox.\n// Correct `block` display not defined for `main` in IE 11.\n//\n\narticle,\naside,\ndetails,\nfigcaption,\nfigure,\nfooter,\nheader,\nhgroup,\nmain,\nmenu,\nnav,\nsection,\nsummary {\n  display: block;\n}\n\n//\n// 1. Correct `inline-block` display not defined in IE 8/9.\n// 2. Normalize vertical alignment of `progress` in Chrome, Firefox, and Opera.\n//\n\naudio,\ncanvas,\nprogress,\nvideo {\n  display: inline-block; // 1\n  vertical-align: baseline; // 2\n}\n\n//\n// Prevent modern browsers from displaying `audio` without controls.\n// Remove excess height in iOS 5 devices.\n//\n\naudio:not([controls]) {\n  display: none;\n  height: 0;\n}\n\n//\n// Address `[hidden]` styling not present in IE 8/9/10.\n// Hide the `template` element in IE 8/9/10/11, Safari, and Firefox < 22.\n//\n\n[hidden],\ntemplate {\n  display: none;\n}\n\n// Links\n// ==========================================================================\n\n//\n// Remove the gray background color from active links in IE 10.\n//\n\na {\n  background-color: transparent;\n}\n\n//\n// Improve readability of focused elements when they are also in an\n// active/hover state.\n//\n\na:active,\na:hover {\n  outline: 0;\n}\n\n// Text-level semantics\n// ==========================================================================\n\n//\n// 1. Remove the bottom border in Chrome 57- and Firefox 39-.\n// 2. Add the correct text decoration in Chrome, Edge, IE, Opera, and Safari.\n//\n\nabbr[title] {\n  border-bottom: none; // 1\n  text-decoration: underline; // 2\n  text-decoration: underline dotted; // 2\n}\n\n//\n// Address style set to `bolder` in Firefox 4+, Safari, and Chrome.\n//\n\nb,\nstrong {\n  font-weight: bold;\n}\n\n//\n// Address styling not present in Safari and Chrome.\n//\n\ndfn {\n  font-style: italic;\n}\n\n//\n// Address variable `h1` font-size and margin within `section` and `article`\n// contexts in Firefox 4+, Safari, and Chrome.\n//\n\nh1 {\n  font-size: 2em;\n  margin: 0.67em 0;\n}\n\n//\n// Address styling not present in IE 8/9.\n//\n\nmark {\n  background: #ff0;\n  color: #000;\n}\n\n//\n// Address inconsistent and variable font size in all browsers.\n//\n\nsmall {\n  font-size: 80%;\n}\n\n//\n// Prevent `sub` and `sup` affecting `line-height` in all browsers.\n//\n\nsub,\nsup {\n  font-size: 75%;\n  line-height: 0;\n  position: relative;\n  vertical-align: baseline;\n}\n\nsup {\n  top: -0.5em;\n}\n\nsub {\n  bottom: -0.25em;\n}\n\n// Embedded content\n// ==========================================================================\n\n//\n// Remove border when inside `a` element in IE 8/9/10.\n//\n\nimg {\n  border: 0;\n}\n\n//\n// Correct overflow not hidden in IE 9/10/11.\n//\n\nsvg:not(:root) {\n  overflow: hidden;\n}\n\n// Grouping content\n// ==========================================================================\n\n//\n// Address margin not present in IE 8/9 and Safari.\n//\n\nfigure {\n  margin: 1em 40px;\n}\n\n//\n// Address differences between Firefox and other browsers.\n//\n\nhr {\n  box-sizing: content-box;\n  height: 0;\n}\n\n//\n// Contain overflow in all browsers.\n//\n\npre {\n  overflow: auto;\n}\n\n//\n// Address odd `em`-unit font size rendering in all browsers.\n//\n\ncode,\nkbd,\npre,\nsamp {\n  font-family: monospace, monospace;\n  font-size: 1em;\n}\n\n// Forms\n// ==========================================================================\n\n//\n// Known limitation: by default, Chrome and Safari on OS X allow very limited\n// styling of `select`, unless a `border` property is set.\n//\n\n//\n// 1. Correct color not being inherited.\n//    Known issue: affects color of disabled elements.\n// 2. Correct font properties not being inherited.\n// 3. Address margins set differently in Firefox 4+, Safari, and Chrome.\n//\n\nbutton,\ninput,\noptgroup,\nselect,\ntextarea {\n  color: inherit; // 1\n  font: inherit; // 2\n  margin: 0; // 3\n}\n\n//\n// Address `overflow` set to `hidden` in IE 8/9/10/11.\n//\n\nbutton {\n  overflow: visible;\n}\n\n//\n// Address inconsistent `text-transform` inheritance for `button` and `select`.\n// All other form control elements do not inherit `text-transform` values.\n// Correct `button` style inheritance in Firefox, IE 8/9/10/11, and Opera.\n// Correct `select` style inheritance in Firefox.\n//\n\nbutton,\nselect {\n  text-transform: none;\n}\n\n//\n// 1. Avoid the WebKit bug in Android 4.0.* where (2) destroys native `audio`\n//    and `video` controls.\n// 2. Correct inability to style clickable `input` types in iOS.\n// 3. Improve usability and consistency of cursor style between image-type\n//    `input` and others.\n//\n\nbutton,\nhtml input[type=\"button\"], // 1\ninput[type=\"reset\"],\ninput[type=\"submit\"] {\n  -webkit-appearance: button; // 2\n  cursor: pointer; // 3\n}\n\n//\n// Re-set default cursor for disabled elements.\n//\n\nbutton[disabled],\nhtml input[disabled] {\n  cursor: default;\n}\n\n//\n// Remove inner padding and border in Firefox 4+.\n//\n\nbutton::-moz-focus-inner,\ninput::-moz-focus-inner {\n  border: 0;\n  padding: 0;\n}\n\n//\n// Address Firefox 4+ setting `line-height` on `input` using `!important` in\n// the UA stylesheet.\n//\n\ninput {\n  line-height: normal;\n}\n\n//\n// It's recommended that you don't attempt to style these elements.\n// Firefox's implementation doesn't respect box-sizing, padding, or width.\n//\n// 1. Address box sizing set to `content-box` in IE 8/9/10.\n// 2. Remove excess padding in IE 8/9/10.\n//\n\ninput[type=\"checkbox\"],\ninput[type=\"radio\"] {\n  box-sizing: border-box; // 1\n  padding: 0; // 2\n}\n\n//\n// Fix the cursor style for Chrome's increment/decrement buttons. For certain\n// `font-size` values of the `input`, it causes the cursor style of the\n// decrement button to change from `default` to `text`.\n//\n\ninput[type=\"number\"]::-webkit-inner-spin-button,\ninput[type=\"number\"]::-webkit-outer-spin-button {\n  height: auto;\n}\n\n//\n// 1. Address `appearance` set to `searchfield` in Safari and Chrome.\n// 2. Address `box-sizing` set to `border-box` in Safari and Chrome.\n//\n\ninput[type=\"search\"] {\n  -webkit-appearance: textfield; // 1\n  box-sizing: content-box; //2\n}\n\n//\n// Remove inner padding and search cancel button in Safari and Chrome on OS X.\n// Safari (but not Chrome) clips the cancel button when the search input has\n// padding (and `textfield` appearance).\n//\n\ninput[type=\"search\"]::-webkit-search-cancel-button,\ninput[type=\"search\"]::-webkit-search-decoration {\n  -webkit-appearance: none;\n}\n\n//\n// Define consistent border, margin, and padding.\n//\n\nfieldset {\n  border: 1px solid #c0c0c0;\n  margin: 0 2px;\n  padding: 0.35em 0.625em 0.75em;\n}\n\n//\n// 1. Correct `color` not being inherited in IE 8/9/10/11.\n// 2. Remove padding so people aren't caught out if they zero out fieldsets.\n//\n\nlegend {\n  border: 0; // 1\n  padding: 0; // 2\n}\n\n//\n// Remove default vertical scrollbar in IE 8/9/10/11.\n//\n\ntextarea {\n  overflow: auto;\n}\n\n//\n// Don't inherit the `font-weight` (applied by a rule above).\n// NOTE: the default cannot safely be changed in Chrome and Safari on OS X.\n//\n\noptgroup {\n  font-weight: bold;\n}\n\n// Tables\n// ==========================================================================\n\n//\n// Remove most spacing between table cells.\n//\n\ntable {\n  border-collapse: collapse;\n  border-spacing: 0;\n}\n\ntd,\nth {\n  padding: 0;\n}\n","// stylelint-disable declaration-no-important, selector-no-qualifying-type\n\n/*! Source: https://github.com/h5bp/html5-boilerplate/blob/master/src/css/main.css */\n\n// ==========================================================================\n// Print styles.\n// Inlined to avoid the additional HTTP request: h5bp.com/r\n// ==========================================================================\n\n@media print {\n  *,\n  *:before,\n  *:after {\n    color: #000 !important; // Black prints faster: h5bp.com/s\n    text-shadow: none !important;\n    background: transparent !important;\n    box-shadow: none !important;\n  }\n\n  a,\n  a:visited {\n    text-decoration: underline;\n  }\n\n  a[href]:after {\n    content: \" (\" attr(href) \")\";\n  }\n\n  abbr[title]:after {\n    content: \" (\" attr(title) \")\";\n  }\n\n  // Don't show links that are fragment identifiers,\n  // or use the `javascript:` pseudo protocol\n  a[href^=\"#\"]:after,\n  a[href^=\"javascript:\"]:after {\n    content: \"\";\n  }\n\n  pre,\n  blockquote {\n    border: 1px solid #999;\n    page-break-inside: avoid;\n  }\n\n  thead {\n    display: table-header-group; // h5bp.com/t\n  }\n\n  tr,\n  img {\n    page-break-inside: avoid;\n  }\n\n  img {\n    max-width: 100% !important;\n  }\n\n  p,\n  h2,\n  h3 {\n    orphans: 3;\n    widows: 3;\n  }\n\n  h2,\n  h3 {\n    page-break-after: avoid;\n  }\n\n  // Bootstrap specific changes start\n\n  // Bootstrap components\n  .navbar {\n    display: none;\n  }\n  .btn,\n  .dropup > .btn {\n    > .caret {\n      border-top-color: #000 !important;\n    }\n  }\n  .label {\n    border: 1px solid #000;\n  }\n\n  .table {\n    border-collapse: collapse !important;\n\n    td,\n    th {\n      background-color: #fff !important;\n    }\n  }\n  .table-bordered {\n    th,\n    td {\n      border: 1px solid #ddd !important;\n    }\n  }\n}\n","// stylelint-disable value-list-comma-newline-after, value-list-comma-space-after, indentation, declaration-colon-newline-after, font-family-no-missing-generic-family-keyword\n\n//\n// Glyphicons for Bootstrap\n//\n// Since icons are fonts, they can be placed anywhere text is placed and are\n// thus automatically sized to match the surrounding child. To use, create an\n// inline element with the appropriate classes, like so:\n//\n// <a href=\"#\"><span class=\"glyphicon glyphicon-star\"></span> Star</a>\n\n// Import the fonts\n@font-face {\n  font-family: \"Glyphicons Halflings\";\n  src: url(\"@{icon-font-path}@{icon-font-name}.eot\");\n  src: url(\"@{icon-font-path}@{icon-font-name}.eot?#iefix\") format(\"embedded-opentype\"),\n       url(\"@{icon-font-path}@{icon-font-name}.woff2\") format(\"woff2\"),\n       url(\"@{icon-font-path}@{icon-font-name}.woff\") format(\"woff\"),\n       url(\"@{icon-font-path}@{icon-font-name}.ttf\") format(\"truetype\"),\n       url(\"@{icon-font-path}@{icon-font-name}.svg#@{icon-font-svg-id}\") format(\"svg\");\n}\n\n// Catchall baseclass\n.glyphicon {\n  position: relative;\n  top: 1px;\n  display: inline-block;\n  font-family: \"Glyphicons Halflings\";\n  font-style: normal;\n  font-weight: 400;\n  line-height: 1;\n  -webkit-font-smoothing: antialiased;\n  -moz-osx-font-smoothing: grayscale;\n}\n\n// Individual icons\n.glyphicon-asterisk               { &:before { content: \"\\002a\"; } }\n.glyphicon-plus                   { &:before { content: \"\\002b\"; } }\n.glyphicon-euro,\n.glyphicon-eur                    { &:before { content: \"\\20ac\"; } }\n.glyphicon-minus                  { &:before { content: \"\\2212\"; } }\n.glyphicon-cloud                  { &:before { content: \"\\2601\"; } }\n.glyphicon-envelope               { &:before { content: \"\\2709\"; } }\n.glyphicon-pencil                 { &:before { content: \"\\270f\"; } }\n.glyphicon-glass                  { &:before { content: \"\\e001\"; } }\n.glyphicon-music                  { &:before { content: \"\\e002\"; } }\n.glyphicon-search                 { &:before { content: \"\\e003\"; } }\n.glyphicon-heart                  { &:before { content: \"\\e005\"; } }\n.glyphicon-star                   { &:before { content: \"\\e006\"; } }\n.glyphicon-star-empty             { &:before { content: \"\\e007\"; } }\n.glyphicon-user                   { &:before { content: \"\\e008\"; } }\n.glyphicon-film                   { &:before { content: \"\\e009\"; } }\n.glyphicon-th-large               { &:before { content: \"\\e010\"; } }\n.glyphicon-th                     { &:before { content: \"\\e011\"; } }\n.glyphicon-th-list                { &:before { content: \"\\e012\"; } }\n.glyphicon-ok                     { &:before { content: \"\\e013\"; } }\n.glyphicon-remove                 { &:before { content: \"\\e014\"; } }\n.glyphicon-zoom-in                { &:before { content: \"\\e015\"; } }\n.glyphicon-zoom-out               { &:before { content: \"\\e016\"; } }\n.glyphicon-off                    { &:before { content: \"\\e017\"; } }\n.glyphicon-signal                 { &:before { content: \"\\e018\"; } }\n.glyphicon-cog                    { &:before { content: \"\\e019\"; } }\n.glyphicon-trash                  { &:before { content: \"\\e020\"; } }\n.glyphicon-home                   { &:before { content: \"\\e021\"; } }\n.glyphicon-file                   { &:before { content: \"\\e022\"; } }\n.glyphicon-time                   { &:before { content: \"\\e023\"; } }\n.glyphicon-road                   { &:before { content: \"\\e024\"; } }\n.glyphicon-download-alt           { &:before { content: \"\\e025\"; } }\n.glyphicon-download               { &:before { content: \"\\e026\"; } }\n.glyphicon-upload                 { &:before { content: \"\\e027\"; } }\n.glyphicon-inbox                  { &:before { content: \"\\e028\"; } }\n.glyphicon-play-circle            { &:before { content: \"\\e029\"; } }\n.glyphicon-repeat                 { &:before { content: \"\\e030\"; } }\n.glyphicon-refresh                { &:before { content: \"\\e031\"; } }\n.glyphicon-list-alt               { &:before { content: \"\\e032\"; } }\n.glyphicon-lock                   { &:before { content: \"\\e033\"; } }\n.glyphicon-flag                   { &:before { content: \"\\e034\"; } }\n.glyphicon-headphones             { &:before { content: \"\\e035\"; } }\n.glyphicon-volume-off             { &:before { content: \"\\e036\"; } }\n.glyphicon-volume-down            { &:before { content: \"\\e037\"; } }\n.glyphicon-volume-up              { &:before { content: \"\\e038\"; } }\n.glyphicon-qrcode                 { &:before { content: \"\\e039\"; } }\n.glyphicon-barcode                { &:before { content: \"\\e040\"; } }\n.glyphicon-tag                    { &:before { content: \"\\e041\"; } }\n.glyphicon-tags                   { &:before { content: \"\\e042\"; } }\n.glyphicon-book                   { &:before { content: \"\\e043\"; } }\n.glyphicon-bookmark               { &:before { content: \"\\e044\"; } }\n.glyphicon-print                  { &:before { content: \"\\e045\"; } }\n.glyphicon-camera                 { &:before { content: \"\\e046\"; } }\n.glyphicon-font                   { &:before { content: \"\\e047\"; } }\n.glyphicon-bold                   { &:before { content: \"\\e048\"; } }\n.glyphicon-italic                 { &:before { content: \"\\e049\"; } }\n.glyphicon-text-height            { &:before { content: \"\\e050\"; } }\n.glyphicon-text-width             { &:before { content: \"\\e051\"; } }\n.glyphicon-align-left             { &:before { content: \"\\e052\"; } }\n.glyphicon-align-center           { &:before { content: \"\\e053\"; } }\n.glyphicon-align-right            { &:before { content: \"\\e054\"; } }\n.glyphicon-align-justify          { &:before { content: \"\\e055\"; } }\n.glyphicon-list                   { &:before { content: \"\\e056\"; } }\n.glyphicon-indent-left            { &:before { content: \"\\e057\"; } }\n.glyphicon-indent-right           { &:before { content: \"\\e058\"; } }\n.glyphicon-facetime-video         { &:before { content: \"\\e059\"; } }\n.glyphicon-picture                { &:before { content: \"\\e060\"; } }\n.glyphicon-map-marker             { &:before { content: \"\\e062\"; } }\n.glyphicon-adjust                 { &:before { content: \"\\e063\"; } }\n.glyphicon-tint                   { &:before { content: \"\\e064\"; } }\n.glyphicon-edit                   { &:before { content: \"\\e065\"; } }\n.glyphicon-share                  { &:before { content: \"\\e066\"; } }\n.glyphicon-check                  { &:before { content: \"\\e067\"; } }\n.glyphicon-move                   { &:before { content: \"\\e068\"; } }\n.glyphicon-step-backward          { &:before { content: \"\\e069\"; } }\n.glyphicon-fast-backward          { &:before { content: \"\\e070\"; } }\n.glyphicon-backward               { &:before { content: \"\\e071\"; } }\n.glyphicon-play                   { &:before { content: \"\\e072\"; } }\n.glyphicon-pause                  { &:before { content: \"\\e073\"; } }\n.glyphicon-stop                   { &:before { content: \"\\e074\"; } }\n.glyphicon-forward                { &:before { content: \"\\e075\"; } }\n.glyphicon-fast-forward           { &:before { content: \"\\e076\"; } }\n.glyphicon-step-forward           { &:before { content: \"\\e077\"; } }\n.glyphicon-eject                  { &:before { content: \"\\e078\"; } }\n.glyphicon-chevron-left           { &:before { content: \"\\e079\"; } }\n.glyphicon-chevron-right          { &:before { content: \"\\e080\"; } }\n.glyphicon-plus-sign              { &:before { content: \"\\e081\"; } }\n.glyphicon-minus-sign             { &:before { content: \"\\e082\"; } }\n.glyphicon-remove-sign            { &:before { content: \"\\e083\"; } }\n.glyphicon-ok-sign                { &:before { content: \"\\e084\"; } }\n.glyphicon-question-sign          { &:before { content: \"\\e085\"; } }\n.glyphicon-info-sign              { &:before { content: \"\\e086\"; } }\n.glyphicon-screenshot             { &:before { content: \"\\e087\"; } }\n.glyphicon-remove-circle          { &:before { content: \"\\e088\"; } }\n.glyphicon-ok-circle              { &:before { content: \"\\e089\"; } }\n.glyphicon-ban-circle             { &:before { content: \"\\e090\"; } }\n.glyphicon-arrow-left             { &:before { content: \"\\e091\"; } }\n.glyphicon-arrow-right            { &:before { content: \"\\e092\"; } }\n.glyphicon-arrow-up               { &:before { content: \"\\e093\"; } }\n.glyphicon-arrow-down             { &:before { content: \"\\e094\"; } }\n.glyphicon-share-alt              { &:before { content: \"\\e095\"; } }\n.glyphicon-resize-full            { &:before { content: \"\\e096\"; } }\n.glyphicon-resize-small           { &:before { content: \"\\e097\"; } }\n.glyphicon-exclamation-sign       { &:before { content: \"\\e101\"; } }\n.glyphicon-gift                   { &:before { content: \"\\e102\"; } }\n.glyphicon-leaf                   { &:before { content: \"\\e103\"; } }\n.glyphicon-fire                   { &:before { content: \"\\e104\"; } }\n.glyphicon-eye-open               { &:before { content: \"\\e105\"; } }\n.glyphicon-eye-close              { &:before { content: \"\\e106\"; } }\n.glyphicon-warning-sign           { &:before { content: \"\\e107\"; } }\n.glyphicon-plane                  { &:before { content: \"\\e108\"; } }\n.glyphicon-calendar               { &:before { content: \"\\e109\"; } }\n.glyphicon-random                 { &:before { content: \"\\e110\"; } }\n.glyphicon-comment                { &:before { content: \"\\e111\"; } }\n.glyphicon-magnet                 { &:before { content: \"\\e112\"; } }\n.glyphicon-chevron-up             { &:before { content: \"\\e113\"; } }\n.glyphicon-chevron-down           { &:before { content: \"\\e114\"; } }\n.glyphicon-retweet                { &:before { content: \"\\e115\"; } }\n.glyphicon-shopping-cart          { &:before { content: \"\\e116\"; } }\n.glyphicon-folder-close           { &:before { content: \"\\e117\"; } }\n.glyphicon-folder-open            { &:before { content: \"\\e118\"; } }\n.glyphicon-resize-vertical        { &:before { content: \"\\e119\"; } }\n.glyphicon-resize-horizontal      { &:before { content: \"\\e120\"; } }\n.glyphicon-hdd                    { &:before { content: \"\\e121\"; } }\n.glyphicon-bullhorn               { &:before { content: \"\\e122\"; } }\n.glyphicon-bell                   { &:before { content: \"\\e123\"; } }\n.glyphicon-certificate            { &:before { content: \"\\e124\"; } }\n.glyphicon-thumbs-up              { &:before { content: \"\\e125\"; } }\n.glyphicon-thumbs-down            { &:before { content: \"\\e126\"; } }\n.glyphicon-hand-right             { &:before { content: \"\\e127\"; } }\n.glyphicon-hand-left              { &:before { content: \"\\e128\"; } }\n.glyphicon-hand-up                { &:before { content: \"\\e129\"; } }\n.glyphicon-hand-down              { &:before { content: \"\\e130\"; } }\n.glyphicon-circle-arrow-right     { &:before { content: \"\\e131\"; } }\n.glyphicon-circle-arrow-left      { &:before { content: \"\\e132\"; } }\n.glyphicon-circle-arrow-up        { &:before { content: \"\\e133\"; } }\n.glyphicon-circle-arrow-down      { &:before { content: \"\\e134\"; } }\n.glyphicon-globe                  { &:before { content: \"\\e135\"; } }\n.glyphicon-wrench                 { &:before { content: \"\\e136\"; } }\n.glyphicon-tasks                  { &:before { content: \"\\e137\"; } }\n.glyphicon-filter                 { &:before { content: \"\\e138\"; } }\n.glyphicon-briefcase              { &:before { content: \"\\e139\"; } }\n.glyphicon-fullscreen             { &:before { content: \"\\e140\"; } }\n.glyphicon-dashboard              { &:before { content: \"\\e141\"; } }\n.glyphicon-paperclip              { &:before { content: \"\\e142\"; } }\n.glyphicon-heart-empty            { &:before { content: \"\\e143\"; } }\n.glyphicon-link                   { &:before { content: \"\\e144\"; } }\n.glyphicon-phone                  { &:before { content: \"\\e145\"; } }\n.glyphicon-pushpin                { &:before { content: \"\\e146\"; } }\n.glyphicon-usd                    { &:before { content: \"\\e148\"; } }\n.glyphicon-gbp                    { &:before { content: \"\\e149\"; } }\n.glyphicon-sort                   { &:before { content: \"\\e150\"; } }\n.glyphicon-sort-by-alphabet       { &:before { content: \"\\e151\"; } }\n.glyphicon-sort-by-alphabet-alt   { &:before { content: \"\\e152\"; } }\n.glyphicon-sort-by-order          { &:before { content: \"\\e153\"; } }\n.glyphicon-sort-by-order-alt      { &:before { content: \"\\e154\"; } }\n.glyphicon-sort-by-attributes     { &:before { content: \"\\e155\"; } }\n.glyphicon-sort-by-attributes-alt { &:before { content: \"\\e156\"; } }\n.glyphicon-unchecked              { &:before { content: \"\\e157\"; } }\n.glyphicon-expand                 { &:before { content: \"\\e158\"; } }\n.glyphicon-collapse-down          { &:before { content: \"\\e159\"; } }\n.glyphicon-collapse-up            { &:before { content: \"\\e160\"; } }\n.glyphicon-log-in                 { &:before { content: \"\\e161\"; } }\n.glyphicon-flash                  { &:before { content: \"\\e162\"; } }\n.glyphicon-log-out                { &:before { content: \"\\e163\"; } }\n.glyphicon-new-window             { &:before { content: \"\\e164\"; } }\n.glyphicon-record                 { &:before { content: \"\\e165\"; } }\n.glyphicon-save                   { &:before { content: \"\\e166\"; } }\n.glyphicon-open                   { &:before { content: \"\\e167\"; } }\n.glyphicon-saved                  { &:before { content: \"\\e168\"; } }\n.glyphicon-import                 { &:before { content: \"\\e169\"; } }\n.glyphicon-export                 { &:before { content: \"\\e170\"; } }\n.glyphicon-send                   { &:before { content: \"\\e171\"; } }\n.glyphicon-floppy-disk            { &:before { content: \"\\e172\"; } }\n.glyphicon-floppy-saved           { &:before { content: \"\\e173\"; } }\n.glyphicon-floppy-remove          { &:before { content: \"\\e174\"; } }\n.glyphicon-floppy-save            { &:before { content: \"\\e175\"; } }\n.glyphicon-floppy-open            { &:before { content: \"\\e176\"; } }\n.glyphicon-credit-card            { &:before { content: \"\\e177\"; } }\n.glyphicon-transfer               { &:before { content: \"\\e178\"; } }\n.glyphicon-cutlery                { &:before { content: \"\\e179\"; } }\n.glyphicon-header                 { &:before { content: \"\\e180\"; } }\n.glyphicon-compressed             { &:before { content: \"\\e181\"; } }\n.glyphicon-earphone               { &:before { content: \"\\e182\"; } }\n.glyphicon-phone-alt              { &:before { content: \"\\e183\"; } }\n.glyphicon-tower                  { &:before { content: \"\\e184\"; } }\n.glyphicon-stats                  { &:before { content: \"\\e185\"; } }\n.glyphicon-sd-video               { &:before { content: \"\\e186\"; } }\n.glyphicon-hd-video               { &:before { content: \"\\e187\"; } }\n.glyphicon-subtitles              { &:before { content: \"\\e188\"; } }\n.glyphicon-sound-stereo           { &:before { content: \"\\e189\"; } }\n.glyphicon-sound-dolby            { &:before { content: \"\\e190\"; } }\n.glyphicon-sound-5-1              { &:before { content: \"\\e191\"; } }\n.glyphicon-sound-6-1              { &:before { content: \"\\e192\"; } }\n.glyphicon-sound-7-1              { &:before { content: \"\\e193\"; } }\n.glyphicon-copyright-mark         { &:before { content: \"\\e194\"; } }\n.glyphicon-registration-mark      { &:before { content: \"\\e195\"; } }\n.glyphicon-cloud-download         { &:before { content: \"\\e197\"; } }\n.glyphicon-cloud-upload           { &:before { content: \"\\e198\"; } }\n.glyphicon-tree-conifer           { &:before { content: \"\\e199\"; } }\n.glyphicon-tree-deciduous         { &:before { content: \"\\e200\"; } }\n.glyphicon-cd                     { &:before { content: \"\\e201\"; } }\n.glyphicon-save-file              { &:before { content: \"\\e202\"; } }\n.glyphicon-open-file              { &:before { content: \"\\e203\"; } }\n.glyphicon-level-up               { &:before { content: \"\\e204\"; } }\n.glyphicon-copy                   { &:before { content: \"\\e205\"; } }\n.glyphicon-paste                  { &:before { content: \"\\e206\"; } }\n// The following 2 Glyphicons are omitted for the time being because\n// they currently use Unicode codepoints that are outside the\n// Basic Multilingual Plane (BMP). Older buggy versions of WebKit can't handle\n// non-BMP codepoints in CSS string escapes, and thus can't display these two icons.\n// Notably, the bug affects some older versions of the Android Browser.\n// More info: https://github.com/twbs/bootstrap/issues/10106\n// .glyphicon-door                   { &:before { content: \"\\1f6aa\"; } }\n// .glyphicon-key                    { &:before { content: \"\\1f511\"; } }\n.glyphicon-alert                  { &:before { content: \"\\e209\"; } }\n.glyphicon-equalizer              { &:before { content: \"\\e210\"; } }\n.glyphicon-king                   { &:before { content: \"\\e211\"; } }\n.glyphicon-queen                  { &:before { content: \"\\e212\"; } }\n.glyphicon-pawn                   { &:before { content: \"\\e213\"; } }\n.glyphicon-bishop                 { &:before { content: \"\\e214\"; } }\n.glyphicon-knight                 { &:before { content: \"\\e215\"; } }\n.glyphicon-baby-formula           { &:before { content: \"\\e216\"; } }\n.glyphicon-tent                   { &:before { content: \"\\26fa\"; } }\n.glyphicon-blackboard             { &:before { content: \"\\e218\"; } }\n.glyphicon-bed                    { &:before { content: \"\\e219\"; } }\n.glyphicon-apple                  { &:before { content: \"\\f8ff\"; } }\n.glyphicon-erase                  { &:before { content: \"\\e221\"; } }\n.glyphicon-hourglass              { &:before { content: \"\\231b\"; } }\n.glyphicon-lamp                   { &:before { content: \"\\e223\"; } }\n.glyphicon-duplicate              { &:before { content: \"\\e224\"; } }\n.glyphicon-piggy-bank             { &:before { content: \"\\e225\"; } }\n.glyphicon-scissors               { &:before { content: \"\\e226\"; } }\n.glyphicon-bitcoin                { &:before { content: \"\\e227\"; } }\n.glyphicon-btc                    { &:before { content: \"\\e227\"; } }\n.glyphicon-xbt                    { &:before { content: \"\\e227\"; } }\n.glyphicon-yen                    { &:before { content: \"\\00a5\"; } }\n.glyphicon-jpy                    { &:before { content: \"\\00a5\"; } }\n.glyphicon-ruble                  { &:before { content: \"\\20bd\"; } }\n.glyphicon-rub                    { &:before { content: \"\\20bd\"; } }\n.glyphicon-scale                  { &:before { content: \"\\e230\"; } }\n.glyphicon-ice-lolly              { &:before { content: \"\\e231\"; } }\n.glyphicon-ice-lolly-tasted       { &:before { content: \"\\e232\"; } }\n.glyphicon-education              { &:before { content: \"\\e233\"; } }\n.glyphicon-option-horizontal      { &:before { content: \"\\e234\"; } }\n.glyphicon-option-vertical        { &:before { content: \"\\e235\"; } }\n.glyphicon-menu-hamburger         { &:before { content: \"\\e236\"; } }\n.glyphicon-modal-window           { &:before { content: \"\\e237\"; } }\n.glyphicon-oil                    { &:before { content: \"\\e238\"; } }\n.glyphicon-grain                  { &:before { content: \"\\e239\"; } }\n.glyphicon-sunglasses             { &:before { content: \"\\e240\"; } }\n.glyphicon-text-size              { &:before { content: \"\\e241\"; } }\n.glyphicon-text-color             { &:before { content: \"\\e242\"; } }\n.glyphicon-text-background        { &:before { content: \"\\e243\"; } }\n.glyphicon-object-align-top       { &:before { content: \"\\e244\"; } }\n.glyphicon-object-align-bottom    { &:before { content: \"\\e245\"; } }\n.glyphicon-object-align-horizontal{ &:before { content: \"\\e246\"; } }\n.glyphicon-object-align-left      { &:before { content: \"\\e247\"; } }\n.glyphicon-object-align-vertical  { &:before { content: \"\\e248\"; } }\n.glyphicon-object-align-right     { &:before { content: \"\\e249\"; } }\n.glyphicon-triangle-right         { &:before { content: \"\\e250\"; } }\n.glyphicon-triangle-left          { &:before { content: \"\\e251\"; } }\n.glyphicon-triangle-bottom        { &:before { content: \"\\e252\"; } }\n.glyphicon-triangle-top           { &:before { content: \"\\e253\"; } }\n.glyphicon-console                { &:before { content: \"\\e254\"; } }\n.glyphicon-superscript            { &:before { content: \"\\e255\"; } }\n.glyphicon-subscript              { &:before { content: \"\\e256\"; } }\n.glyphicon-menu-left              { &:before { content: \"\\e257\"; } }\n.glyphicon-menu-right             { &:before { content: \"\\e258\"; } }\n.glyphicon-menu-down              { &:before { content: \"\\e259\"; } }\n.glyphicon-menu-up                { &:before { content: \"\\e260\"; } }\n","//\n// Scaffolding\n// --------------------------------------------------\n\n\n// Reset the box-sizing\n//\n// Heads up! This reset may cause conflicts with some third-party widgets.\n// For recommendations on resolving such conflicts, see\n// https://getbootstrap.com/docs/3.4/getting-started/#third-box-sizing\n* {\n  .box-sizing(border-box);\n}\n*:before,\n*:after {\n  .box-sizing(border-box);\n}\n\n\n// Body reset\n\nhtml {\n  font-size: 10px;\n  -webkit-tap-highlight-color: rgba(0, 0, 0, 0);\n}\n\nbody {\n  font-family: @font-family-base;\n  font-size: @font-size-base;\n  line-height: @line-height-base;\n  color: @text-color;\n  background-color: @body-bg;\n}\n\n// Reset fonts for relevant elements\ninput,\nbutton,\nselect,\ntextarea {\n  font-family: inherit;\n  font-size: inherit;\n  line-height: inherit;\n}\n\n\n// Links\n\na {\n  color: @link-color;\n  text-decoration: none;\n\n  &:hover,\n  &:focus {\n    color: @link-hover-color;\n    text-decoration: @link-hover-decoration;\n  }\n\n  &:focus {\n    .tab-focus();\n  }\n}\n\n\n// Figures\n//\n// We reset this here because previously Normalize had no `figure` margins. This\n// ensures we don't break anyone's use of the element.\n\nfigure {\n  margin: 0;\n}\n\n\n// Images\n\nimg {\n  vertical-align: middle;\n}\n\n// Responsive images (ensure images don't scale beyond their parents)\n.img-responsive {\n  .img-responsive();\n}\n\n// Rounded corners\n.img-rounded {\n  border-radius: @border-radius-large;\n}\n\n// Image thumbnails\n//\n// Heads up! This is mixin-ed into thumbnails.less for `.thumbnail`.\n.img-thumbnail {\n  padding: @thumbnail-padding;\n  line-height: @line-height-base;\n  background-color: @thumbnail-bg;\n  border: 1px solid @thumbnail-border;\n  border-radius: @thumbnail-border-radius;\n  .transition(all .2s ease-in-out);\n\n  // Keep them at most 100% wide\n  .img-responsive(inline-block);\n}\n\n// Perfect circle\n.img-circle {\n  border-radius: 50%; // set radius in percents\n}\n\n\n// Horizontal rules\n\nhr {\n  margin-top: @line-height-computed;\n  margin-bottom: @line-height-computed;\n  border: 0;\n  border-top: 1px solid @hr-border;\n}\n\n\n// Only display content to screen readers\n//\n// See: https://a11yproject.com/posts/how-to-hide-content\n\n.sr-only {\n  position: absolute;\n  width: 1px;\n  height: 1px;\n  padding: 0;\n  margin: -1px;\n  overflow: hidden;\n  clip: rect(0, 0, 0, 0);\n  border: 0;\n}\n\n// Use in conjunction with .sr-only to only display content when it's focused.\n// Useful for \"Skip to main content\" links; see https://www.w3.org/TR/2013/NOTE-WCAG20-TECHS-20130905/G1\n// Credit: HTML5 Boilerplate\n\n.sr-only-focusable {\n  &:active,\n  &:focus {\n    position: static;\n    width: auto;\n    height: auto;\n    margin: 0;\n    overflow: visible;\n    clip: auto;\n  }\n}\n\n\n// iOS \"clickable elements\" fix for role=\"button\"\n//\n// Fixes \"clickability\" issue (and more generally, the firing of events such as focus as well)\n// for traditionally non-focusable elements with role=\"button\"\n// see https://developer.mozilla.org/en-US/docs/Web/Events/click#Safari_Mobile\n\n[role=\"button\"] {\n  cursor: pointer;\n}\n","// stylelint-disable indentation, property-no-vendor-prefix, selector-no-vendor-prefix\n\n// Vendor Prefixes\n//\n// All vendor mixins are deprecated as of v3.2.0 due to the introduction of\n// Autoprefixer in our Gruntfile. They have been removed in v4.\n\n// - Animations\n// - Backface visibility\n// - Box shadow\n// - Box sizing\n// - Content columns\n// - Hyphens\n// - Placeholder text\n// - Transformations\n// - Transitions\n// - User Select\n\n\n// Animations\n.animation(@animation) {\n  -webkit-animation: @animation;\n       -o-animation: @animation;\n          animation: @animation;\n}\n.animation-name(@name) {\n  -webkit-animation-name: @name;\n          animation-name: @name;\n}\n.animation-duration(@duration) {\n  -webkit-animation-duration: @duration;\n          animation-duration: @duration;\n}\n.animation-timing-function(@timing-function) {\n  -webkit-animation-timing-function: @timing-function;\n          animation-timing-function: @timing-function;\n}\n.animation-delay(@delay) {\n  -webkit-animation-delay: @delay;\n          animation-delay: @delay;\n}\n.animation-iteration-count(@iteration-count) {\n  -webkit-animation-iteration-count: @iteration-count;\n          animation-iteration-count: @iteration-count;\n}\n.animation-direction(@direction) {\n  -webkit-animation-direction: @direction;\n          animation-direction: @direction;\n}\n.animation-fill-mode(@fill-mode) {\n  -webkit-animation-fill-mode: @fill-mode;\n          animation-fill-mode: @fill-mode;\n}\n\n// Backface visibility\n// Prevent browsers from flickering when using CSS 3D transforms.\n// Default value is `visible`, but can be changed to `hidden`\n\n.backface-visibility(@visibility) {\n  -webkit-backface-visibility: @visibility;\n     -moz-backface-visibility: @visibility;\n          backface-visibility: @visibility;\n}\n\n// Drop shadows\n//\n// Note: Deprecated `.box-shadow()` as of v3.1.0 since all of Bootstrap's\n// supported browsers that have box shadow capabilities now support it.\n\n.box-shadow(@shadow) {\n  -webkit-box-shadow: @shadow; // iOS <4.3 & Android <4.1\n          box-shadow: @shadow;\n}\n\n// Box sizing\n.box-sizing(@boxmodel) {\n  -webkit-box-sizing: @boxmodel;\n     -moz-box-sizing: @boxmodel;\n          box-sizing: @boxmodel;\n}\n\n// CSS3 Content Columns\n.content-columns(@column-count; @column-gap: @grid-gutter-width) {\n  -webkit-column-count: @column-count;\n     -moz-column-count: @column-count;\n          column-count: @column-count;\n  -webkit-column-gap: @column-gap;\n     -moz-column-gap: @column-gap;\n          column-gap: @column-gap;\n}\n\n// Optional hyphenation\n.hyphens(@mode: auto) {\n  -webkit-hyphens: @mode;\n     -moz-hyphens: @mode;\n      -ms-hyphens: @mode; // IE10+\n       -o-hyphens: @mode;\n          hyphens: @mode;\n  word-wrap: break-word;\n}\n\n// Placeholder text\n.placeholder(@color: @input-color-placeholder) {\n  // Firefox\n  &::-moz-placeholder {\n    color: @color;\n    opacity: 1; // Override Firefox's unusual default opacity; see https://github.com/twbs/bootstrap/pull/11526\n  }\n  &:-ms-input-placeholder { color: @color; } // Internet Explorer 10+\n  &::-webkit-input-placeholder  { color: @color; } // Safari and Chrome\n}\n\n// Transformations\n.scale(@ratio) {\n  -webkit-transform: scale(@ratio);\n      -ms-transform: scale(@ratio); // IE9 only\n       -o-transform: scale(@ratio);\n          transform: scale(@ratio);\n}\n.scale(@ratioX; @ratioY) {\n  -webkit-transform: scale(@ratioX, @ratioY);\n      -ms-transform: scale(@ratioX, @ratioY); // IE9 only\n       -o-transform: scale(@ratioX, @ratioY);\n          transform: scale(@ratioX, @ratioY);\n}\n.scaleX(@ratio) {\n  -webkit-transform: scaleX(@ratio);\n      -ms-transform: scaleX(@ratio); // IE9 only\n       -o-transform: scaleX(@ratio);\n          transform: scaleX(@ratio);\n}\n.scaleY(@ratio) {\n  -webkit-transform: scaleY(@ratio);\n      -ms-transform: scaleY(@ratio); // IE9 only\n       -o-transform: scaleY(@ratio);\n          transform: scaleY(@ratio);\n}\n.skew(@x; @y) {\n  -webkit-transform: skewX(@x) skewY(@y);\n      -ms-transform: skewX(@x) skewY(@y); // See https://github.com/twbs/bootstrap/issues/4885; IE9+\n       -o-transform: skewX(@x) skewY(@y);\n          transform: skewX(@x) skewY(@y);\n}\n.translate(@x; @y) {\n  -webkit-transform: translate(@x, @y);\n      -ms-transform: translate(@x, @y); // IE9 only\n       -o-transform: translate(@x, @y);\n          transform: translate(@x, @y);\n}\n.translate3d(@x; @y; @z) {\n  -webkit-transform: translate3d(@x, @y, @z);\n          transform: translate3d(@x, @y, @z);\n}\n.rotate(@degrees) {\n  -webkit-transform: rotate(@degrees);\n      -ms-transform: rotate(@degrees); // IE9 only\n       -o-transform: rotate(@degrees);\n          transform: rotate(@degrees);\n}\n.rotateX(@degrees) {\n  -webkit-transform: rotateX(@degrees);\n      -ms-transform: rotateX(@degrees); // IE9 only\n       -o-transform: rotateX(@degrees);\n          transform: rotateX(@degrees);\n}\n.rotateY(@degrees) {\n  -webkit-transform: rotateY(@degrees);\n      -ms-transform: rotateY(@degrees); // IE9 only\n       -o-transform: rotateY(@degrees);\n          transform: rotateY(@degrees);\n}\n.perspective(@perspective) {\n  -webkit-perspective: @perspective;\n     -moz-perspective: @perspective;\n          perspective: @perspective;\n}\n.perspective-origin(@perspective) {\n  -webkit-perspective-origin: @perspective;\n     -moz-perspective-origin: @perspective;\n          perspective-origin: @perspective;\n}\n.transform-origin(@origin) {\n  -webkit-transform-origin: @origin;\n     -moz-transform-origin: @origin;\n      -ms-transform-origin: @origin; // IE9 only\n          transform-origin: @origin;\n}\n\n\n// Transitions\n\n.transition(@transition) {\n  -webkit-transition: @transition;\n       -o-transition: @transition;\n          transition: @transition;\n}\n.transition-property(@transition-property) {\n  -webkit-transition-property: @transition-property;\n          transition-property: @transition-property;\n}\n.transition-delay(@transition-delay) {\n  -webkit-transition-delay: @transition-delay;\n          transition-delay: @transition-delay;\n}\n.transition-duration(@transition-duration) {\n  -webkit-transition-duration: @transition-duration;\n          transition-duration: @transition-duration;\n}\n.transition-timing-function(@timing-function) {\n  -webkit-transition-timing-function: @timing-function;\n          transition-timing-function: @timing-function;\n}\n.transition-transform(@transition) {\n  -webkit-transition: -webkit-transform @transition;\n     -moz-transition: -moz-transform @transition;\n       -o-transition: -o-transform @transition;\n          transition: transform @transition;\n}\n\n\n// User select\n// For selecting text on the page\n\n.user-select(@select) {\n  -webkit-user-select: @select;\n     -moz-user-select: @select;\n      -ms-user-select: @select; // IE10+\n          user-select: @select;\n}\n","// WebKit-style focus\n\n.tab-focus() {\n  // WebKit-specific. Other browsers will keep their default outline style.\n  // (Initially tried to also force default via `outline: initial`,\n  // but that seems to erroneously remove the outline in Firefox altogether.)\n  outline: 5px auto -webkit-focus-ring-color;\n  outline-offset: -2px;\n}\n","// stylelint-disable media-feature-name-no-vendor-prefix, media-feature-parentheses-space-inside, media-feature-name-no-unknown, indentation, at-rule-name-space-after\n\n// Responsive image\n//\n// Keep images from scaling beyond the width of their parents.\n.img-responsive(@display: block) {\n  display: @display;\n  max-width: 100%; // Part 1: Set a maximum relative to the parent\n  height: auto; // Part 2: Scale the height according to the width, otherwise you get stretching\n}\n\n\n// Retina image\n//\n// Short retina mixin for setting background-image and -size. Note that the\n// spelling of `min--moz-device-pixel-ratio` is intentional.\n.img-retina(@file-1x; @file-2x; @width-1x; @height-1x) {\n  background-image: url(\"@{file-1x}\");\n\n  @media\n  only screen and (-webkit-min-device-pixel-ratio: 2),\n  only screen and ( min--moz-device-pixel-ratio: 2),\n  only screen and ( -o-min-device-pixel-ratio: 2/1),\n  only screen and ( min-device-pixel-ratio: 2),\n  only screen and ( min-resolution: 192dpi),\n  only screen and ( min-resolution: 2dppx) {\n    background-image: url(\"@{file-2x}\");\n    background-size: @width-1x @height-1x;\n  }\n}\n","// stylelint-disable selector-list-comma-newline-after, selector-no-qualifying-type\n\n//\n// Typography\n// --------------------------------------------------\n\n\n// Headings\n// -------------------------\n\nh1, h2, h3, h4, h5, h6,\n.h1, .h2, .h3, .h4, .h5, .h6 {\n  font-family: @headings-font-family;\n  font-weight: @headings-font-weight;\n  line-height: @headings-line-height;\n  color: @headings-color;\n\n  small,\n  .small {\n    font-weight: 400;\n    line-height: 1;\n    color: @headings-small-color;\n  }\n}\n\nh1, .h1,\nh2, .h2,\nh3, .h3 {\n  margin-top: @line-height-computed;\n  margin-bottom: (@line-height-computed / 2);\n\n  small,\n  .small {\n    font-size: 65%;\n  }\n}\nh4, .h4,\nh5, .h5,\nh6, .h6 {\n  margin-top: (@line-height-computed / 2);\n  margin-bottom: (@line-height-computed / 2);\n\n  small,\n  .small {\n    font-size: 75%;\n  }\n}\n\nh1, .h1 { font-size: @font-size-h1; }\nh2, .h2 { font-size: @font-size-h2; }\nh3, .h3 { font-size: @font-size-h3; }\nh4, .h4 { font-size: @font-size-h4; }\nh5, .h5 { font-size: @font-size-h5; }\nh6, .h6 { font-size: @font-size-h6; }\n\n\n// Body text\n// -------------------------\n\np {\n  margin: 0 0 (@line-height-computed / 2);\n}\n\n.lead {\n  margin-bottom: @line-height-computed;\n  font-size: floor((@font-size-base * 1.15));\n  font-weight: 300;\n  line-height: 1.4;\n\n  @media (min-width: @screen-sm-min) {\n    font-size: (@font-size-base * 1.5);\n  }\n}\n\n\n// Emphasis & misc\n// -------------------------\n\n// Ex: (12px small font / 14px base font) * 100% = about 85%\nsmall,\n.small {\n  font-size: floor((100% * @font-size-small / @font-size-base));\n}\n\nmark,\n.mark {\n  padding: .2em;\n  background-color: @state-warning-bg;\n}\n\n// Alignment\n.text-left           { text-align: left; }\n.text-right          { text-align: right; }\n.text-center         { text-align: center; }\n.text-justify        { text-align: justify; }\n.text-nowrap         { white-space: nowrap; }\n\n// Transformation\n.text-lowercase      { text-transform: lowercase; }\n.text-uppercase      { text-transform: uppercase; }\n.text-capitalize     { text-transform: capitalize; }\n\n// Contextual colors\n.text-muted {\n  color: @text-muted;\n}\n.text-primary {\n  .text-emphasis-variant(@brand-primary);\n}\n.text-success {\n  .text-emphasis-variant(@state-success-text);\n}\n.text-info {\n  .text-emphasis-variant(@state-info-text);\n}\n.text-warning {\n  .text-emphasis-variant(@state-warning-text);\n}\n.text-danger {\n  .text-emphasis-variant(@state-danger-text);\n}\n\n// Contextual backgrounds\n// For now we'll leave these alongside the text classes until v4 when we can\n// safely shift things around (per SemVer rules).\n.bg-primary {\n  // Given the contrast here, this is the only class to have its color inverted\n  // automatically.\n  color: #fff;\n  .bg-variant(@brand-primary);\n}\n.bg-success {\n  .bg-variant(@state-success-bg);\n}\n.bg-info {\n  .bg-variant(@state-info-bg);\n}\n.bg-warning {\n  .bg-variant(@state-warning-bg);\n}\n.bg-danger {\n  .bg-variant(@state-danger-bg);\n}\n\n\n// Page header\n// -------------------------\n\n.page-header {\n  padding-bottom: ((@line-height-computed / 2) - 1);\n  margin: (@line-height-computed * 2) 0 @line-height-computed;\n  border-bottom: 1px solid @page-header-border-color;\n}\n\n\n// Lists\n// -------------------------\n\n// Unordered and Ordered lists\nul,\nol {\n  margin-top: 0;\n  margin-bottom: (@line-height-computed / 2);\n  ul,\n  ol {\n    margin-bottom: 0;\n  }\n}\n\n// List options\n\n// Unstyled keeps list items block level, just removes default browser padding and list-style\n.list-unstyled {\n  padding-left: 0;\n  list-style: none;\n}\n\n// Inline turns list items into inline-block\n.list-inline {\n  .list-unstyled();\n  margin-left: -5px;\n\n  > li {\n    display: inline-block;\n    padding-right: 5px;\n    padding-left: 5px;\n  }\n}\n\n// Description Lists\ndl {\n  margin-top: 0; // Remove browser default\n  margin-bottom: @line-height-computed;\n}\ndt,\ndd {\n  line-height: @line-height-base;\n}\ndt {\n  font-weight: 700;\n}\ndd {\n  margin-left: 0; // Undo browser default\n}\n\n// Horizontal description lists\n//\n// Defaults to being stacked without any of the below styles applied, until the\n// grid breakpoint is reached (default of ~768px).\n\n.dl-horizontal {\n  dd {\n    &:extend(.clearfix all); // Clear the floated `dt` if an empty `dd` is present\n  }\n\n  @media (min-width: @dl-horizontal-breakpoint) {\n    dt {\n      float: left;\n      width: (@dl-horizontal-offset - 20);\n      clear: left;\n      text-align: right;\n      .text-overflow();\n    }\n    dd {\n      margin-left: @dl-horizontal-offset;\n    }\n  }\n}\n\n\n// Misc\n// -------------------------\n\n// Abbreviations and acronyms\n// Add data-* attribute to help out our tooltip plugin, per https://github.com/twbs/bootstrap/issues/5257\nabbr[title],\nabbr[data-original-title] {\n  cursor: help;\n}\n\n.initialism {\n  font-size: 90%;\n  .text-uppercase();\n}\n\n// Blockquotes\nblockquote {\n  padding: (@line-height-computed / 2) @line-height-computed;\n  margin: 0 0 @line-height-computed;\n  font-size: @blockquote-font-size;\n  border-left: 5px solid @blockquote-border-color;\n\n  p,\n  ul,\n  ol {\n    &:last-child {\n      margin-bottom: 0;\n    }\n  }\n\n  // Note: Deprecated small and .small as of v3.1.0\n  // Context: https://github.com/twbs/bootstrap/issues/11660\n  footer,\n  small,\n  .small {\n    display: block;\n    font-size: 80%; // back to default font-size\n    line-height: @line-height-base;\n    color: @blockquote-small-color;\n\n    &:before {\n      content: \"\\2014 \\00A0\"; // em dash, nbsp\n    }\n  }\n}\n\n// Opposite alignment of blockquote\n//\n// Heads up: `blockquote.pull-right` has been deprecated as of v3.1.0.\n.blockquote-reverse,\nblockquote.pull-right {\n  padding-right: 15px;\n  padding-left: 0;\n  text-align: right;\n  border-right: 5px solid @blockquote-border-color;\n  border-left: 0;\n\n  // Account for citation\n  footer,\n  small,\n  .small {\n    &:before { content: \"\"; }\n    &:after {\n      content: \"\\00A0 \\2014\"; // nbsp, em dash\n    }\n  }\n}\n\n// Addresses\naddress {\n  margin-bottom: @line-height-computed;\n  font-style: normal;\n  line-height: @line-height-base;\n}\n","// Typography\n\n.text-emphasis-variant(@color) {\n  color: @color;\n  a&:hover,\n  a&:focus {\n    color: darken(@color, 10%);\n  }\n}\n","// Contextual backgrounds\n\n.bg-variant(@color) {\n  background-color: @color;\n  a&:hover,\n  a&:focus {\n    background-color: darken(@color, 10%);\n  }\n}\n","// Text overflow\n// Requires inline-block or block for proper styling\n\n.text-overflow() {\n  overflow: hidden;\n  text-overflow: ellipsis;\n  white-space: nowrap;\n}\n","//\n// Code (inline and block)\n// --------------------------------------------------\n\n\n// Inline and block code styles\ncode,\nkbd,\npre,\nsamp {\n  font-family: @font-family-monospace;\n}\n\n// Inline code\ncode {\n  padding: 2px 4px;\n  font-size: 90%;\n  color: @code-color;\n  background-color: @code-bg;\n  border-radius: @border-radius-base;\n}\n\n// User input typically entered via keyboard\nkbd {\n  padding: 2px 4px;\n  font-size: 90%;\n  color: @kbd-color;\n  background-color: @kbd-bg;\n  border-radius: @border-radius-small;\n  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, .25);\n\n  kbd {\n    padding: 0;\n    font-size: 100%;\n    font-weight: 700;\n    box-shadow: none;\n  }\n}\n\n// Blocks of code\npre {\n  display: block;\n  padding: ((@line-height-computed - 1) / 2);\n  margin: 0 0 (@line-height-computed / 2);\n  font-size: (@font-size-base - 1); // 14px to 13px\n  line-height: @line-height-base;\n  color: @pre-color;\n  word-break: break-all;\n  word-wrap: break-word;\n  background-color: @pre-bg;\n  border: 1px solid @pre-border-color;\n  border-radius: @border-radius-base;\n\n  // Account for some code outputs that place code tags in pre tags\n  code {\n    padding: 0;\n    font-size: inherit;\n    color: inherit;\n    white-space: pre-wrap;\n    background-color: transparent;\n    border-radius: 0;\n  }\n}\n\n// Enable scrollable blocks of code\n.pre-scrollable {\n  max-height: @pre-scrollable-max-height;\n  overflow-y: scroll;\n}\n","//\n// Grid system\n// --------------------------------------------------\n\n\n// Container widths\n//\n// Set the container width, and override it for fixed navbars in media queries.\n\n.container {\n  .container-fixed();\n\n  @media (min-width: @screen-sm-min) {\n    width: @container-sm;\n  }\n  @media (min-width: @screen-md-min) {\n    width: @container-md;\n  }\n  @media (min-width: @screen-lg-min) {\n    width: @container-lg;\n  }\n}\n\n\n// Fluid container\n//\n// Utilizes the mixin meant for fixed width containers, but without any defined\n// width for fluid, full width layouts.\n\n.container-fluid {\n  .container-fixed();\n}\n\n\n// Row\n//\n// Rows contain and clear the floats of your columns.\n\n.row {\n  .make-row();\n}\n\n.row-no-gutters {\n  margin-right: 0;\n  margin-left: 0;\n\n  [class*=\"col-\"] {\n    padding-right: 0;\n    padding-left: 0;\n  }\n}\n\n\n// Columns\n//\n// Common styles for small and large grid columns\n\n.make-grid-columns();\n\n\n// Extra small grid\n//\n// Columns, offsets, pushes, and pulls for extra small devices like\n// smartphones.\n\n.make-grid(xs);\n\n\n// Small grid\n//\n// Columns, offsets, pushes, and pulls for the small device range, from phones\n// to tablets.\n\n@media (min-width: @screen-sm-min) {\n  .make-grid(sm);\n}\n\n\n// Medium grid\n//\n// Columns, offsets, pushes, and pulls for the desktop device range.\n\n@media (min-width: @screen-md-min) {\n  .make-grid(md);\n}\n\n\n// Large grid\n//\n// Columns, offsets, pushes, and pulls for the large desktop device range.\n\n@media (min-width: @screen-lg-min) {\n  .make-grid(lg);\n}\n","// Grid system\n//\n// Generate semantic grid columns with these mixins.\n\n// Centered container element\n.container-fixed(@gutter: @grid-gutter-width) {\n  padding-right: ceil((@gutter / 2));\n  padding-left: floor((@gutter / 2));\n  margin-right: auto;\n  margin-left: auto;\n  &:extend(.clearfix all);\n}\n\n// Creates a wrapper for a series of columns\n.make-row(@gutter: @grid-gutter-width) {\n  margin-right: floor((@gutter / -2));\n  margin-left: ceil((@gutter / -2));\n  &:extend(.clearfix all);\n}\n\n// Generate the extra small columns\n.make-xs-column(@columns; @gutter: @grid-gutter-width) {\n  position: relative;\n  float: left;\n  width: percentage((@columns / @grid-columns));\n  min-height: 1px;\n  padding-right: (@gutter / 2);\n  padding-left: (@gutter / 2);\n}\n.make-xs-column-offset(@columns) {\n  margin-left: percentage((@columns / @grid-columns));\n}\n.make-xs-column-push(@columns) {\n  left: percentage((@columns / @grid-columns));\n}\n.make-xs-column-pull(@columns) {\n  right: percentage((@columns / @grid-columns));\n}\n\n// Generate the small columns\n.make-sm-column(@columns; @gutter: @grid-gutter-width) {\n  position: relative;\n  min-height: 1px;\n  padding-right: (@gutter / 2);\n  padding-left: (@gutter / 2);\n\n  @media (min-width: @screen-sm-min) {\n    float: left;\n    width: percentage((@columns / @grid-columns));\n  }\n}\n.make-sm-column-offset(@columns) {\n  @media (min-width: @screen-sm-min) {\n    margin-left: percentage((@columns / @grid-columns));\n  }\n}\n.make-sm-column-push(@columns) {\n  @media (min-width: @screen-sm-min) {\n    left: percentage((@columns / @grid-columns));\n  }\n}\n.make-sm-column-pull(@columns) {\n  @media (min-width: @screen-sm-min) {\n    right: percentage((@columns / @grid-columns));\n  }\n}\n\n// Generate the medium columns\n.make-md-column(@columns; @gutter: @grid-gutter-width) {\n  position: relative;\n  min-height: 1px;\n  padding-right: (@gutter / 2);\n  padding-left: (@gutter / 2);\n\n  @media (min-width: @screen-md-min) {\n    float: left;\n    width: percentage((@columns / @grid-columns));\n  }\n}\n.make-md-column-offset(@columns) {\n  @media (min-width: @screen-md-min) {\n    margin-left: percentage((@columns / @grid-columns));\n  }\n}\n.make-md-column-push(@columns) {\n  @media (min-width: @screen-md-min) {\n    left: percentage((@columns / @grid-columns));\n  }\n}\n.make-md-column-pull(@columns) {\n  @media (min-width: @screen-md-min) {\n    right: percentage((@columns / @grid-columns));\n  }\n}\n\n// Generate the large columns\n.make-lg-column(@columns; @gutter: @grid-gutter-width) {\n  position: relative;\n  min-height: 1px;\n  padding-right: (@gutter / 2);\n  padding-left: (@gutter / 2);\n\n  @media (min-width: @screen-lg-min) {\n    float: left;\n    width: percentage((@columns / @grid-columns));\n  }\n}\n.make-lg-column-offset(@columns) {\n  @media (min-width: @screen-lg-min) {\n    margin-left: percentage((@columns / @grid-columns));\n  }\n}\n.make-lg-column-push(@columns) {\n  @media (min-width: @screen-lg-min) {\n    left: percentage((@columns / @grid-columns));\n  }\n}\n.make-lg-column-pull(@columns) {\n  @media (min-width: @screen-lg-min) {\n    right: percentage((@columns / @grid-columns));\n  }\n}\n","// Framework grid generation\n//\n// Used only by Bootstrap to generate the correct number of grid classes given\n// any value of `@grid-columns`.\n\n.make-grid-columns() {\n  // Common styles for all sizes of grid columns, widths 1-12\n  .col(@index) { // initial\n    @item: ~\".col-xs-@{index}, .col-sm-@{index}, .col-md-@{index}, .col-lg-@{index}\";\n    .col((@index + 1), @item);\n  }\n  .col(@index, @list) when (@index =< @grid-columns) { // general; \"=<\" isn't a typo\n    @item: ~\".col-xs-@{index}, .col-sm-@{index}, .col-md-@{index}, .col-lg-@{index}\";\n    .col((@index + 1), ~\"@{list}, @{item}\");\n  }\n  .col(@index, @list) when (@index > @grid-columns) { // terminal\n    @{list} {\n      position: relative;\n      // Prevent columns from collapsing when empty\n      min-height: 1px;\n      // Inner gutter via padding\n      padding-right: floor((@grid-gutter-width / 2));\n      padding-left: ceil((@grid-gutter-width / 2));\n    }\n  }\n  .col(1); // kickstart it\n}\n\n.float-grid-columns(@class) {\n  .col(@index) { // initial\n    @item: ~\".col-@{class}-@{index}\";\n    .col((@index + 1), @item);\n  }\n  .col(@index, @list) when (@index =< @grid-columns) { // general\n    @item: ~\".col-@{class}-@{index}\";\n    .col((@index + 1), ~\"@{list}, @{item}\");\n  }\n  .col(@index, @list) when (@index > @grid-columns) { // terminal\n    @{list} {\n      float: left;\n    }\n  }\n  .col(1); // kickstart it\n}\n\n.calc-grid-column(@index, @class, @type) when (@type = width) and (@index > 0) {\n  .col-@{class}-@{index} {\n    width: percentage((@index / @grid-columns));\n  }\n}\n.calc-grid-column(@index, @class, @type) when (@type = push) and (@index > 0) {\n  .col-@{class}-push-@{index} {\n    left: percentage((@index / @grid-columns));\n  }\n}\n.calc-grid-column(@index, @class, @type) when (@type = push) and (@index = 0) {\n  .col-@{class}-push-0 {\n    left: auto;\n  }\n}\n.calc-grid-column(@index, @class, @type) when (@type = pull) and (@index > 0) {\n  .col-@{class}-pull-@{index} {\n    right: percentage((@index / @grid-columns));\n  }\n}\n.calc-grid-column(@index, @class, @type) when (@type = pull) and (@index = 0) {\n  .col-@{class}-pull-0 {\n    right: auto;\n  }\n}\n.calc-grid-column(@index, @class, @type) when (@type = offset) {\n  .col-@{class}-offset-@{index} {\n    margin-left: percentage((@index / @grid-columns));\n  }\n}\n\n// Basic looping in LESS\n.loop-grid-columns(@index, @class, @type) when (@index >= 0) {\n  .calc-grid-column(@index, @class, @type);\n  // next iteration\n  .loop-grid-columns((@index - 1), @class, @type);\n}\n\n// Create grid for specific class\n.make-grid(@class) {\n  .float-grid-columns(@class);\n  .loop-grid-columns(@grid-columns, @class, width);\n  .loop-grid-columns(@grid-columns, @class, pull);\n  .loop-grid-columns(@grid-columns, @class, push);\n  .loop-grid-columns(@grid-columns, @class, offset);\n}\n","// stylelint-disable selector-max-type, selector-max-compound-selectors, selector-no-qualifying-type\n\n//\n// Tables\n// --------------------------------------------------\n\n\ntable {\n  background-color: @table-bg;\n\n  // Table cell sizing\n  //\n  // Reset default table behavior\n\n  col[class*=\"col-\"] {\n    position: static; // Prevent border hiding in Firefox and IE9-11 (see https://github.com/twbs/bootstrap/issues/11623)\n    display: table-column;\n    float: none;\n  }\n\n  td,\n  th {\n    &[class*=\"col-\"] {\n      position: static; // Prevent border hiding in Firefox and IE9-11 (see https://github.com/twbs/bootstrap/issues/11623)\n      display: table-cell;\n      float: none;\n    }\n  }\n}\n\ncaption {\n  padding-top: @table-cell-padding;\n  padding-bottom: @table-cell-padding;\n  color: @text-muted;\n  text-align: left;\n}\n\nth {\n  text-align: left;\n}\n\n\n// Baseline styles\n\n.table {\n  width: 100%;\n  max-width: 100%;\n  margin-bottom: @line-height-computed;\n  // Cells\n  > thead,\n  > tbody,\n  > tfoot {\n    > tr {\n      > th,\n      > td {\n        padding: @table-cell-padding;\n        line-height: @line-height-base;\n        vertical-align: top;\n        border-top: 1px solid @table-border-color;\n      }\n    }\n  }\n  // Bottom align for column headings\n  > thead > tr > th {\n    vertical-align: bottom;\n    border-bottom: 2px solid @table-border-color;\n  }\n  // Remove top border from thead by default\n  > caption + thead,\n  > colgroup + thead,\n  > thead:first-child {\n    > tr:first-child {\n      > th,\n      > td {\n        border-top: 0;\n      }\n    }\n  }\n  // Account for multiple tbody instances\n  > tbody + tbody {\n    border-top: 2px solid @table-border-color;\n  }\n\n  // Nesting\n  .table {\n    background-color: @body-bg;\n  }\n}\n\n\n// Condensed table w/ half padding\n\n.table-condensed {\n  > thead,\n  > tbody,\n  > tfoot {\n    > tr {\n      > th,\n      > td {\n        padding: @table-condensed-cell-padding;\n      }\n    }\n  }\n}\n\n\n// Bordered version\n//\n// Add borders all around the table and between all the columns.\n\n.table-bordered {\n  border: 1px solid @table-border-color;\n  > thead,\n  > tbody,\n  > tfoot {\n    > tr {\n      > th,\n      > td {\n        border: 1px solid @table-border-color;\n      }\n    }\n  }\n  > thead > tr {\n    > th,\n    > td {\n      border-bottom-width: 2px;\n    }\n  }\n}\n\n\n// Zebra-striping\n//\n// Default zebra-stripe styles (alternating gray and transparent backgrounds)\n\n.table-striped {\n  > tbody > tr:nth-of-type(odd) {\n    background-color: @table-bg-accent;\n  }\n}\n\n\n// Hover effect\n//\n// Placed here since it has to come after the potential zebra striping\n\n.table-hover {\n  > tbody > tr:hover {\n    background-color: @table-bg-hover;\n  }\n}\n\n\n// Table backgrounds\n//\n// Exact selectors below required to override `.table-striped` and prevent\n// inheritance to nested tables.\n\n// Generate the contextual variants\n.table-row-variant(active; @table-bg-active);\n.table-row-variant(success; @state-success-bg);\n.table-row-variant(info; @state-info-bg);\n.table-row-variant(warning; @state-warning-bg);\n.table-row-variant(danger; @state-danger-bg);\n\n\n// Responsive tables\n//\n// Wrap your tables in `.table-responsive` and we'll make them mobile friendly\n// by enabling horizontal scrolling. Only applies <768px. Everything above that\n// will display normally.\n\n.table-responsive {\n  min-height: .01%; // Workaround for IE9 bug (see https://github.com/twbs/bootstrap/issues/14837)\n  overflow-x: auto;\n\n  @media screen and (max-width: @screen-xs-max) {\n    width: 100%;\n    margin-bottom: (@line-height-computed * .75);\n    overflow-y: hidden;\n    -ms-overflow-style: -ms-autohiding-scrollbar;\n    border: 1px solid @table-border-color;\n\n    // Tighten up spacing\n    > .table {\n      margin-bottom: 0;\n\n      // Ensure the content doesn't wrap\n      > thead,\n      > tbody,\n      > tfoot {\n        > tr {\n          > th,\n          > td {\n            white-space: nowrap;\n          }\n        }\n      }\n    }\n\n    // Special overrides for the bordered tables\n    > .table-bordered {\n      border: 0;\n\n      // Nuke the appropriate borders so that the parent can handle them\n      > thead,\n      > tbody,\n      > tfoot {\n        > tr {\n          > th:first-child,\n          > td:first-child {\n            border-left: 0;\n          }\n          > th:last-child,\n          > td:last-child {\n            border-right: 0;\n          }\n        }\n      }\n\n      // Only nuke the last row's bottom-border in `tbody` and `tfoot` since\n      // chances are there will be only one `tr` in a `thead` and that would\n      // remove the border altogether.\n      > tbody,\n      > tfoot {\n        > tr:last-child {\n          > th,\n          > td {\n            border-bottom: 0;\n          }\n        }\n      }\n\n    }\n  }\n}\n","// Tables\n\n.table-row-variant(@state; @background) {\n  // Exact selectors below required to override `.table-striped` and prevent\n  // inheritance to nested tables.\n  .table > thead > tr,\n  .table > tbody > tr,\n  .table > tfoot > tr {\n    > td.@{state},\n    > th.@{state},\n    &.@{state} > td,\n    &.@{state} > th {\n      background-color: @background;\n    }\n  }\n\n  // Hover states for `.table-hover`\n  // Note: this is not available for cells or rows within `thead` or `tfoot`.\n  .table-hover > tbody > tr {\n    > td.@{state}:hover,\n    > th.@{state}:hover,\n    &.@{state}:hover > td,\n    &:hover > .@{state},\n    &.@{state}:hover > th {\n      background-color: darken(@background, 5%);\n    }\n  }\n}\n","// stylelint-disable selector-no-qualifying-type, property-no-vendor-prefix, media-feature-name-no-vendor-prefix\n\n//\n// Forms\n// --------------------------------------------------\n\n\n// Normalize non-controls\n//\n// Restyle and baseline non-control form elements.\n\nfieldset {\n  // Chrome and Firefox set a `min-width: min-content;` on fieldsets,\n  // so we reset that to ensure it behaves more like a standard block element.\n  // See https://github.com/twbs/bootstrap/issues/12359.\n  min-width: 0;\n  padding: 0;\n  margin: 0;\n  border: 0;\n}\n\nlegend {\n  display: block;\n  width: 100%;\n  padding: 0;\n  margin-bottom: @line-height-computed;\n  font-size: (@font-size-base * 1.5);\n  line-height: inherit;\n  color: @legend-color;\n  border: 0;\n  border-bottom: 1px solid @legend-border-color;\n}\n\nlabel {\n  display: inline-block;\n  max-width: 100%; // Force IE8 to wrap long content (see https://github.com/twbs/bootstrap/issues/13141)\n  margin-bottom: 5px;\n  font-weight: 700;\n}\n\n\n// Normalize form controls\n//\n// While most of our form styles require extra classes, some basic normalization\n// is required to ensure optimum display with or without those classes to better\n// address browser inconsistencies.\n\ninput[type=\"search\"] {\n  // Override content-box in Normalize (* isn't specific enough)\n  .box-sizing(border-box);\n\n  // Search inputs in iOS\n  //\n  // This overrides the extra rounded corners on search inputs in iOS so that our\n  // `.form-control` class can properly style them. Note that this cannot simply\n  // be added to `.form-control` as it's not specific enough. For details, see\n  // https://github.com/twbs/bootstrap/issues/11586.\n  -webkit-appearance: none;\n  appearance: none;\n}\n\n// Position radios and checkboxes better\ninput[type=\"radio\"],\ninput[type=\"checkbox\"] {\n  margin: 4px 0 0;\n  margin-top: 1px \\9; // IE8-9\n  line-height: normal;\n\n  // Apply same disabled cursor tweak as for inputs\n  // Some special care is needed because <label>s don't inherit their parent's `cursor`.\n  //\n  // Note: Neither radios nor checkboxes can be readonly.\n  &[disabled],\n  &.disabled,\n  fieldset[disabled] & {\n    cursor: @cursor-disabled;\n  }\n}\n\ninput[type=\"file\"] {\n  display: block;\n}\n\n// Make range inputs behave like textual form controls\ninput[type=\"range\"] {\n  display: block;\n  width: 100%;\n}\n\n// Make multiple select elements height not fixed\nselect[multiple],\nselect[size] {\n  height: auto;\n}\n\n// Focus for file, radio, and checkbox\ninput[type=\"file\"]:focus,\ninput[type=\"radio\"]:focus,\ninput[type=\"checkbox\"]:focus {\n  .tab-focus();\n}\n\n// Adjust output element\noutput {\n  display: block;\n  padding-top: (@padding-base-vertical + 1);\n  font-size: @font-size-base;\n  line-height: @line-height-base;\n  color: @input-color;\n}\n\n\n// Common form controls\n//\n// Shared size and type resets for form controls. Apply `.form-control` to any\n// of the following form controls:\n//\n// select\n// textarea\n// input[type=\"text\"]\n// input[type=\"password\"]\n// input[type=\"datetime\"]\n// input[type=\"datetime-local\"]\n// input[type=\"date\"]\n// input[type=\"month\"]\n// input[type=\"time\"]\n// input[type=\"week\"]\n// input[type=\"number\"]\n// input[type=\"email\"]\n// input[type=\"url\"]\n// input[type=\"search\"]\n// input[type=\"tel\"]\n// input[type=\"color\"]\n\n.form-control {\n  display: block;\n  width: 100%;\n  height: @input-height-base; // Make inputs at least the height of their button counterpart (base line-height + padding + border)\n  padding: @padding-base-vertical @padding-base-horizontal;\n  font-size: @font-size-base;\n  line-height: @line-height-base;\n  color: @input-color;\n  background-color: @input-bg;\n  background-image: none; // Reset unusual Firefox-on-Android default style; see https://github.com/necolas/normalize.css/issues/214\n  border: 1px solid @input-border;\n  border-radius: @input-border-radius; // Note: This has no effect on <select>s in some browsers, due to the limited stylability of <select>s in CSS.\n  .box-shadow(inset 0 1px 1px rgba(0, 0, 0, .075));\n  .transition(~\"border-color ease-in-out .15s, box-shadow ease-in-out .15s\");\n\n  // Customize the `:focus` state to imitate native WebKit styles.\n  .form-control-focus();\n\n  // Placeholder\n  .placeholder();\n\n  // Unstyle the caret on `<select>`s in IE10+.\n  &::-ms-expand {\n    background-color: transparent;\n    border: 0;\n  }\n\n  // Disabled and read-only inputs\n  //\n  // HTML5 says that controls under a fieldset > legend:first-child won't be\n  // disabled if the fieldset is disabled. Due to implementation difficulty, we\n  // don't honor that edge case; we style them as disabled anyway.\n  &[disabled],\n  &[readonly],\n  fieldset[disabled] & {\n    background-color: @input-bg-disabled;\n    opacity: 1; // iOS fix for unreadable disabled content; see https://github.com/twbs/bootstrap/issues/11655\n  }\n\n  &[disabled],\n  fieldset[disabled] & {\n    cursor: @cursor-disabled;\n  }\n\n  // Reset height for `textarea`s\n  textarea& {\n    height: auto;\n  }\n}\n\n\n// Special styles for iOS temporal inputs\n//\n// In Mobile Safari, setting `display: block` on temporal inputs causes the\n// text within the input to become vertically misaligned. As a workaround, we\n// set a pixel line-height that matches the given height of the input, but only\n// for Safari. See https://bugs.webkit.org/show_bug.cgi?id=139848\n//\n// Note that as of 9.3, iOS doesn't support `week`.\n\n@media screen and (-webkit-min-device-pixel-ratio: 0) {\n  input[type=\"date\"],\n  input[type=\"time\"],\n  input[type=\"datetime-local\"],\n  input[type=\"month\"] {\n    &.form-control {\n      line-height: @input-height-base;\n    }\n\n    &.input-sm,\n    .input-group-sm & {\n      line-height: @input-height-small;\n    }\n\n    &.input-lg,\n    .input-group-lg & {\n      line-height: @input-height-large;\n    }\n  }\n}\n\n\n// Form groups\n//\n// Designed to help with the organization and spacing of vertical forms. For\n// horizontal forms, use the predefined grid classes.\n\n.form-group {\n  margin-bottom: @form-group-margin-bottom;\n}\n\n\n// Checkboxes and radios\n//\n// Indent the labels to position radios/checkboxes as hanging controls.\n\n.radio,\n.checkbox {\n  position: relative;\n  display: block;\n  margin-top: 10px;\n  margin-bottom: 10px;\n\n  // These are used on elements with <label> descendants\n  &.disabled,\n  fieldset[disabled] & {\n    label {\n      cursor: @cursor-disabled;\n    }\n  }\n\n  label {\n    min-height: @line-height-computed; // Ensure the input doesn't jump when there is no text\n    padding-left: 20px;\n    margin-bottom: 0;\n    font-weight: 400;\n    cursor: pointer;\n  }\n}\n.radio input[type=\"radio\"],\n.radio-inline input[type=\"radio\"],\n.checkbox input[type=\"checkbox\"],\n.checkbox-inline input[type=\"checkbox\"] {\n  position: absolute;\n  margin-top: 4px \\9;\n  margin-left: -20px;\n}\n\n.radio + .radio,\n.checkbox + .checkbox {\n  margin-top: -5px; // Move up sibling radios or checkboxes for tighter spacing\n}\n\n// Radios and checkboxes on same line\n.radio-inline,\n.checkbox-inline {\n  position: relative;\n  display: inline-block;\n  padding-left: 20px;\n  margin-bottom: 0;\n  font-weight: 400;\n  vertical-align: middle;\n  cursor: pointer;\n\n  // These are used directly on <label>s\n  &.disabled,\n  fieldset[disabled] & {\n    cursor: @cursor-disabled;\n  }\n}\n.radio-inline + .radio-inline,\n.checkbox-inline + .checkbox-inline {\n  margin-top: 0;\n  margin-left: 10px; // space out consecutive inline controls\n}\n\n\n// Static form control text\n//\n// Apply class to a `p` element to make any string of text align with labels in\n// a horizontal form layout.\n\n.form-control-static {\n  min-height: (@line-height-computed + @font-size-base);\n  // Size it appropriately next to real form controls\n  padding-top: (@padding-base-vertical + 1);\n  padding-bottom: (@padding-base-vertical + 1);\n  // Remove default margin from `p`\n  margin-bottom: 0;\n\n  &.input-lg,\n  &.input-sm {\n    padding-right: 0;\n    padding-left: 0;\n  }\n}\n\n\n// Form control sizing\n//\n// Build on `.form-control` with modifier classes to decrease or increase the\n// height and font-size of form controls.\n//\n// The `.form-group-* form-control` variations are sadly duplicated to avoid the\n// issue documented in https://github.com/twbs/bootstrap/issues/15074.\n\n.input-sm {\n  .input-size(@input-height-small; @padding-small-vertical; @padding-small-horizontal; @font-size-small; @line-height-small; @input-border-radius-small);\n}\n.form-group-sm {\n  .form-control {\n    height: @input-height-small;\n    padding: @padding-small-vertical @padding-small-horizontal;\n    font-size: @font-size-small;\n    line-height: @line-height-small;\n    border-radius: @input-border-radius-small;\n  }\n  select.form-control {\n    height: @input-height-small;\n    line-height: @input-height-small;\n  }\n  textarea.form-control,\n  select[multiple].form-control {\n    height: auto;\n  }\n  .form-control-static {\n    height: @input-height-small;\n    min-height: (@line-height-computed + @font-size-small);\n    padding: (@padding-small-vertical + 1) @padding-small-horizontal;\n    font-size: @font-size-small;\n    line-height: @line-height-small;\n  }\n}\n\n.input-lg {\n  .input-size(@input-height-large; @padding-large-vertical; @padding-large-horizontal; @font-size-large; @line-height-large; @input-border-radius-large);\n}\n.form-group-lg {\n  .form-control {\n    height: @input-height-large;\n    padding: @padding-large-vertical @padding-large-horizontal;\n    font-size: @font-size-large;\n    line-height: @line-height-large;\n    border-radius: @input-border-radius-large;\n  }\n  select.form-control {\n    height: @input-height-large;\n    line-height: @input-height-large;\n  }\n  textarea.form-control,\n  select[multiple].form-control {\n    height: auto;\n  }\n  .form-control-static {\n    height: @input-height-large;\n    min-height: (@line-height-computed + @font-size-large);\n    padding: (@padding-large-vertical + 1) @padding-large-horizontal;\n    font-size: @font-size-large;\n    line-height: @line-height-large;\n  }\n}\n\n\n// Form control feedback states\n//\n// Apply contextual and semantic states to individual form controls.\n\n.has-feedback {\n  // Enable absolute positioning\n  position: relative;\n\n  // Ensure icons don't overlap text\n  .form-control {\n    padding-right: (@input-height-base * 1.25);\n  }\n}\n// Feedback icon (requires .glyphicon classes)\n.form-control-feedback {\n  position: absolute;\n  top: 0;\n  right: 0;\n  z-index: 2; // Ensure icon is above input groups\n  display: block;\n  width: @input-height-base;\n  height: @input-height-base;\n  line-height: @input-height-base;\n  text-align: center;\n  pointer-events: none;\n}\n.input-lg + .form-control-feedback,\n.input-group-lg + .form-control-feedback,\n.form-group-lg .form-control + .form-control-feedback {\n  width: @input-height-large;\n  height: @input-height-large;\n  line-height: @input-height-large;\n}\n.input-sm + .form-control-feedback,\n.input-group-sm + .form-control-feedback,\n.form-group-sm .form-control + .form-control-feedback {\n  width: @input-height-small;\n  height: @input-height-small;\n  line-height: @input-height-small;\n}\n\n// Feedback states\n.has-success {\n  .form-control-validation(@state-success-text; @state-success-text; @state-success-bg);\n}\n.has-warning {\n  .form-control-validation(@state-warning-text; @state-warning-text; @state-warning-bg);\n}\n.has-error {\n  .form-control-validation(@state-danger-text; @state-danger-text; @state-danger-bg);\n}\n\n// Reposition feedback icon if input has visible label above\n.has-feedback label {\n\n  & ~ .form-control-feedback {\n    top: (@line-height-computed + 5); // Height of the `label` and its margin\n  }\n  &.sr-only ~ .form-control-feedback {\n    top: 0;\n  }\n}\n\n\n// Help text\n//\n// Apply to any element you wish to create light text for placement immediately\n// below a form control. Use for general help, formatting, or instructional text.\n\n.help-block {\n  display: block; // account for any element using help-block\n  margin-top: 5px;\n  margin-bottom: 10px;\n  color: lighten(@text-color, 25%); // lighten the text some for contrast\n}\n\n\n// Inline forms\n//\n// Make forms appear inline(-block) by adding the `.form-inline` class. Inline\n// forms begin stacked on extra small (mobile) devices and then go inline when\n// viewports reach <768px.\n//\n// Requires wrapping inputs and labels with `.form-group` for proper display of\n// default HTML form controls and our custom form controls (e.g., input groups).\n//\n// Heads up! This is mixin-ed into `.navbar-form` in navbars.less.\n\n.form-inline {\n\n  // Kick in the inline\n  @media (min-width: @screen-sm-min) {\n    // Inline-block all the things for \"inline\"\n    .form-group {\n      display: inline-block;\n      margin-bottom: 0;\n      vertical-align: middle;\n    }\n\n    // In navbar-form, allow folks to *not* use `.form-group`\n    .form-control {\n      display: inline-block;\n      width: auto; // Prevent labels from stacking above inputs in `.form-group`\n      vertical-align: middle;\n    }\n\n    // Make static controls behave like regular ones\n    .form-control-static {\n      display: inline-block;\n    }\n\n    .input-group {\n      display: inline-table;\n      vertical-align: middle;\n\n      .input-group-addon,\n      .input-group-btn,\n      .form-control {\n        width: auto;\n      }\n    }\n\n    // Input groups need that 100% width though\n    .input-group > .form-control {\n      width: 100%;\n    }\n\n    .control-label {\n      margin-bottom: 0;\n      vertical-align: middle;\n    }\n\n    // Remove default margin on radios/checkboxes that were used for stacking, and\n    // then undo the floating of radios and checkboxes to match.\n    .radio,\n    .checkbox {\n      display: inline-block;\n      margin-top: 0;\n      margin-bottom: 0;\n      vertical-align: middle;\n\n      label {\n        padding-left: 0;\n      }\n    }\n    .radio input[type=\"radio\"],\n    .checkbox input[type=\"checkbox\"] {\n      position: relative;\n      margin-left: 0;\n    }\n\n    // Re-override the feedback icon.\n    .has-feedback .form-control-feedback {\n      top: 0;\n    }\n  }\n}\n\n\n// Horizontal forms\n//\n// Horizontal forms are built on grid classes and allow you to create forms with\n// labels on the left and inputs on the right.\n\n.form-horizontal {\n\n  // Consistent vertical alignment of radios and checkboxes\n  //\n  // Labels also get some reset styles, but that is scoped to a media query below.\n  .radio,\n  .checkbox,\n  .radio-inline,\n  .checkbox-inline {\n    padding-top: (@padding-base-vertical + 1); // Default padding plus a border\n    margin-top: 0;\n    margin-bottom: 0;\n  }\n  // Account for padding we're adding to ensure the alignment and of help text\n  // and other content below items\n  .radio,\n  .checkbox {\n    min-height: (@line-height-computed + (@padding-base-vertical + 1));\n  }\n\n  // Make form groups behave like rows\n  .form-group {\n    .make-row();\n  }\n\n  // Reset spacing and right align labels, but scope to media queries so that\n  // labels on narrow viewports stack the same as a default form example.\n  @media (min-width: @screen-sm-min) {\n    .control-label {\n      padding-top: (@padding-base-vertical + 1); // Default padding plus a border\n      margin-bottom: 0;\n      text-align: right;\n    }\n  }\n\n  // Validation states\n  //\n  // Reposition the icon because it's now within a grid column and columns have\n  // `position: relative;` on them. Also accounts for the grid gutter padding.\n  .has-feedback .form-control-feedback {\n    right: floor((@grid-gutter-width / 2));\n  }\n\n  // Form group sizes\n  //\n  // Quick utility class for applying `.input-lg` and `.input-sm` styles to the\n  // inputs and labels within a `.form-group`.\n  .form-group-lg {\n    @media (min-width: @screen-sm-min) {\n      .control-label {\n        padding-top: (@padding-large-vertical + 1);\n        font-size: @font-size-large;\n      }\n    }\n  }\n  .form-group-sm {\n    @media (min-width: @screen-sm-min) {\n      .control-label {\n        padding-top: (@padding-small-vertical + 1);\n        font-size: @font-size-small;\n      }\n    }\n  }\n}\n","// Form validation states\n//\n// Used in forms.less to generate the form validation CSS for warnings, errors,\n// and successes.\n\n.form-control-validation(@text-color: #555; @border-color: #ccc; @background-color: #f5f5f5) {\n  // Color the label and help text\n  .help-block,\n  .control-label,\n  .radio,\n  .checkbox,\n  .radio-inline,\n  .checkbox-inline,\n  &.radio label,\n  &.checkbox label,\n  &.radio-inline label,\n  &.checkbox-inline label  {\n    color: @text-color;\n  }\n  // Set the border and box shadow on specific inputs to match\n  .form-control {\n    border-color: @border-color;\n    .box-shadow(inset 0 1px 1px rgba(0, 0, 0, .075)); // Redeclare so transitions work\n    &:focus {\n      border-color: darken(@border-color, 10%);\n      @shadow: inset 0 1px 1px rgba(0, 0, 0, .075), 0 0 6px lighten(@border-color, 20%);\n      .box-shadow(@shadow);\n    }\n  }\n  // Set validation states also for addons\n  .input-group-addon {\n    color: @text-color;\n    background-color: @background-color;\n    border-color: @border-color;\n  }\n  // Optional feedback icon\n  .form-control-feedback {\n    color: @text-color;\n  }\n}\n\n\n// Form control focus state\n//\n// Generate a customized focus state and for any input with the specified color,\n// which defaults to the `@input-border-focus` variable.\n//\n// We highly encourage you to not customize the default value, but instead use\n// this to tweak colors on an as-needed basis. This aesthetic change is based on\n// WebKit's default styles, but applicable to a wider range of browsers. Its\n// usability and accessibility should be taken into account with any change.\n//\n// Example usage: change the default blue border and shadow to white for better\n// contrast against a dark gray background.\n.form-control-focus(@color: @input-border-focus) {\n  @color-rgba: rgba(red(@color), green(@color), blue(@color), .6);\n  &:focus {\n    border-color: @color;\n    outline: 0;\n    .box-shadow(~\"inset 0 1px 1px rgba(0, 0, 0, .075), 0 0 8px @{color-rgba}\");\n  }\n}\n\n// Form control sizing\n//\n// Relative text size, padding, and border-radii changes for form controls. For\n// horizontal sizing, wrap controls in the predefined grid classes. `<select>`\n// element gets special love because it's special, and that's a fact!\n.input-size(@input-height; @padding-vertical; @padding-horizontal; @font-size; @line-height; @border-radius) {\n  height: @input-height;\n  padding: @padding-vertical @padding-horizontal;\n  font-size: @font-size;\n  line-height: @line-height;\n  border-radius: @border-radius;\n\n  select& {\n    height: @input-height;\n    line-height: @input-height;\n  }\n\n  textarea&,\n  select[multiple]& {\n    height: auto;\n  }\n}\n","// stylelint-disable selector-no-qualifying-type\n\n//\n// Buttons\n// --------------------------------------------------\n\n\n// Base styles\n// --------------------------------------------------\n\n.btn {\n  display: inline-block;\n  margin-bottom: 0; // For input.btn\n  font-weight: @btn-font-weight;\n  text-align: center;\n  white-space: nowrap;\n  vertical-align: middle;\n  touch-action: manipulation;\n  cursor: pointer;\n  background-image: none; // Reset unusual Firefox-on-Android default style; see https://github.com/necolas/normalize.css/issues/214\n  border: 1px solid transparent;\n  .button-size(@padding-base-vertical; @padding-base-horizontal; @font-size-base; @line-height-base; @btn-border-radius-base);\n  .user-select(none);\n\n  &,\n  &:active,\n  &.active {\n    &:focus,\n    &.focus {\n      .tab-focus();\n    }\n  }\n\n  &:hover,\n  &:focus,\n  &.focus {\n    color: @btn-default-color;\n    text-decoration: none;\n  }\n\n  &:active,\n  &.active {\n    background-image: none;\n    outline: 0;\n    .box-shadow(inset 0 3px 5px rgba(0, 0, 0, .125));\n  }\n\n  &.disabled,\n  &[disabled],\n  fieldset[disabled] & {\n    cursor: @cursor-disabled;\n    .opacity(.65);\n    .box-shadow(none);\n  }\n\n  a& {\n    &.disabled,\n    fieldset[disabled] & {\n      pointer-events: none; // Future-proof disabling of clicks on `<a>` elements\n    }\n  }\n}\n\n\n// Alternate buttons\n// --------------------------------------------------\n\n.btn-default {\n  .button-variant(@btn-default-color; @btn-default-bg; @btn-default-border);\n}\n.btn-primary {\n  .button-variant(@btn-primary-color; @btn-primary-bg; @btn-primary-border);\n}\n// Success appears as green\n.btn-success {\n  .button-variant(@btn-success-color; @btn-success-bg; @btn-success-border);\n}\n// Info appears as blue-green\n.btn-info {\n  .button-variant(@btn-info-color; @btn-info-bg; @btn-info-border);\n}\n// Warning appears as orange\n.btn-warning {\n  .button-variant(@btn-warning-color; @btn-warning-bg; @btn-warning-border);\n}\n// Danger and error appear as red\n.btn-danger {\n  .button-variant(@btn-danger-color; @btn-danger-bg; @btn-danger-border);\n}\n\n\n// Link buttons\n// -------------------------\n\n// Make a button look and behave like a link\n.btn-link {\n  font-weight: 400;\n  color: @link-color;\n  border-radius: 0;\n\n  &,\n  &:active,\n  &.active,\n  &[disabled],\n  fieldset[disabled] & {\n    background-color: transparent;\n    .box-shadow(none);\n  }\n  &,\n  &:hover,\n  &:focus,\n  &:active {\n    border-color: transparent;\n  }\n  &:hover,\n  &:focus {\n    color: @link-hover-color;\n    text-decoration: @link-hover-decoration;\n    background-color: transparent;\n  }\n  &[disabled],\n  fieldset[disabled] & {\n    &:hover,\n    &:focus {\n      color: @btn-link-disabled-color;\n      text-decoration: none;\n    }\n  }\n}\n\n\n// Button Sizes\n// --------------------------------------------------\n\n.btn-lg {\n  // line-height: ensure even-numbered height of button next to large input\n  .button-size(@padding-large-vertical; @padding-large-horizontal; @font-size-large; @line-height-large; @btn-border-radius-large);\n}\n.btn-sm {\n  // line-height: ensure proper height of button next to small input\n  .button-size(@padding-small-vertical; @padding-small-horizontal; @font-size-small; @line-height-small; @btn-border-radius-small);\n}\n.btn-xs {\n  .button-size(@padding-xs-vertical; @padding-xs-horizontal; @font-size-small; @line-height-small; @btn-border-radius-small);\n}\n\n\n// Block button\n// --------------------------------------------------\n\n.btn-block {\n  display: block;\n  width: 100%;\n}\n\n// Vertically space out multiple block buttons\n.btn-block + .btn-block {\n  margin-top: 5px;\n}\n\n// Specificity overrides\ninput[type=\"submit\"],\ninput[type=\"reset\"],\ninput[type=\"button\"] {\n  &.btn-block {\n    width: 100%;\n  }\n}\n","// Button variants\n//\n// Easily pump out default styles, as well as :hover, :focus, :active,\n// and disabled options for all buttons\n\n.button-variant(@color; @background; @border) {\n  color: @color;\n  background-color: @background;\n  border-color: @border;\n\n  &:focus,\n  &.focus {\n    color: @color;\n    background-color: darken(@background, 10%);\n    border-color: darken(@border, 25%);\n  }\n  &:hover {\n    color: @color;\n    background-color: darken(@background, 10%);\n    border-color: darken(@border, 12%);\n  }\n  &:active,\n  &.active,\n  .open > .dropdown-toggle& {\n    color: @color;\n    background-color: darken(@background, 10%);\n    background-image: none;\n    border-color: darken(@border, 12%);\n\n    &:hover,\n    &:focus,\n    &.focus {\n      color: @color;\n      background-color: darken(@background, 17%);\n      border-color: darken(@border, 25%);\n    }\n  }\n  &.disabled,\n  &[disabled],\n  fieldset[disabled] & {\n    &:hover,\n    &:focus,\n    &.focus {\n      background-color: @background;\n      border-color: @border;\n    }\n  }\n\n  .badge {\n    color: @background;\n    background-color: @color;\n  }\n}\n\n// Button sizes\n.button-size(@padding-vertical; @padding-horizontal; @font-size; @line-height; @border-radius) {\n  padding: @padding-vertical @padding-horizontal;\n  font-size: @font-size;\n  line-height: @line-height;\n  border-radius: @border-radius;\n}\n","// Opacity\n\n.opacity(@opacity) {\n  @opacity-ie: (@opacity * 100);  // IE8 filter\n  filter: ~\"alpha(opacity=@{opacity-ie})\";\n  opacity: @opacity;\n}\n","// stylelint-disable selector-no-qualifying-type\n\n//\n// Component animations\n// --------------------------------------------------\n\n// Heads up!\n//\n// We don't use the `.opacity()` mixin here since it causes a bug with text\n// fields in IE7-8. Source: https://github.com/twbs/bootstrap/pull/3552.\n\n.fade {\n  opacity: 0;\n  .transition(opacity .15s linear);\n\n  &.in {\n    opacity: 1;\n  }\n}\n\n.collapse {\n  display: none;\n\n  &.in      { display: block; }\n  tr&.in    { display: table-row; }\n  tbody&.in { display: table-row-group; }\n}\n\n.collapsing {\n  position: relative;\n  height: 0;\n  overflow: hidden;\n  .transition-property(~\"height, visibility\");\n  .transition-duration(.35s);\n  .transition-timing-function(ease);\n}\n","//\n// Dropdown menus\n// --------------------------------------------------\n\n\n// Dropdown arrow/caret\n.caret {\n  display: inline-block;\n  width: 0;\n  height: 0;\n  margin-left: 2px;\n  vertical-align: middle;\n  border-top: @caret-width-base dashed;\n  border-top: @caret-width-base solid ~\"\\9\"; // IE8\n  border-right: @caret-width-base solid transparent;\n  border-left: @caret-width-base solid transparent;\n}\n\n// The dropdown wrapper (div)\n.dropup,\n.dropdown {\n  position: relative;\n}\n\n// Prevent the focus on the dropdown toggle when closing dropdowns\n.dropdown-toggle:focus {\n  outline: 0;\n}\n\n// The dropdown menu (ul)\n.dropdown-menu {\n  position: absolute;\n  top: 100%;\n  left: 0;\n  z-index: @zindex-dropdown;\n  display: none; // none by default, but block on \"open\" of the menu\n  float: left;\n  min-width: 160px;\n  padding: 5px 0;\n  margin: 2px 0 0; // override default ul\n  font-size: @font-size-base;\n  text-align: left; // Ensures proper alignment if parent has it changed (e.g., modal footer)\n  list-style: none;\n  background-color: @dropdown-bg;\n  background-clip: padding-box;\n  border: 1px solid @dropdown-fallback-border; // IE8 fallback\n  border: 1px solid @dropdown-border;\n  border-radius: @border-radius-base;\n  .box-shadow(0 6px 12px rgba(0, 0, 0, .175));\n\n  // Aligns the dropdown menu to right\n  //\n  // Deprecated as of 3.1.0 in favor of `.dropdown-menu-[dir]`\n  &.pull-right {\n    right: 0;\n    left: auto;\n  }\n\n  // Dividers (basically an hr) within the dropdown\n  .divider {\n    .nav-divider(@dropdown-divider-bg);\n  }\n\n  // Links within the dropdown menu\n  > li > a {\n    display: block;\n    padding: 3px 20px;\n    clear: both;\n    font-weight: 400;\n    line-height: @line-height-base;\n    color: @dropdown-link-color;\n    white-space: nowrap; // prevent links from randomly breaking onto new lines\n\n    &:hover,\n    &:focus {\n      color: @dropdown-link-hover-color;\n      text-decoration: none;\n      background-color: @dropdown-link-hover-bg;\n    }\n  }\n}\n\n// Active state\n.dropdown-menu > .active > a {\n  &,\n  &:hover,\n  &:focus {\n    color: @dropdown-link-active-color;\n    text-decoration: none;\n    background-color: @dropdown-link-active-bg;\n    outline: 0;\n  }\n}\n\n// Disabled state\n//\n// Gray out text and ensure the hover/focus state remains gray\n\n.dropdown-menu > .disabled > a {\n  &,\n  &:hover,\n  &:focus {\n    color: @dropdown-link-disabled-color;\n  }\n\n  // Nuke hover/focus effects\n  &:hover,\n  &:focus {\n    text-decoration: none;\n    cursor: @cursor-disabled;\n    background-color: transparent;\n    background-image: none; // Remove CSS gradient\n    .reset-filter();\n  }\n}\n\n// Open state for the dropdown\n.open {\n  // Show the menu\n  > .dropdown-menu {\n    display: block;\n  }\n\n  // Remove the outline when :focus is triggered\n  > a {\n    outline: 0;\n  }\n}\n\n// Menu positioning\n//\n// Add extra class to `.dropdown-menu` to flip the alignment of the dropdown\n// menu with the parent.\n.dropdown-menu-right {\n  right: 0;\n  left: auto; // Reset the default from `.dropdown-menu`\n}\n// With v3, we enabled auto-flipping if you have a dropdown within a right\n// aligned nav component. To enable the undoing of that, we provide an override\n// to restore the default dropdown menu alignment.\n//\n// This is only for left-aligning a dropdown menu within a `.navbar-right` or\n// `.pull-right` nav component.\n.dropdown-menu-left {\n  right: auto;\n  left: 0;\n}\n\n// Dropdown section headers\n.dropdown-header {\n  display: block;\n  padding: 3px 20px;\n  font-size: @font-size-small;\n  line-height: @line-height-base;\n  color: @dropdown-header-color;\n  white-space: nowrap; // as with > li > a\n}\n\n// Backdrop to catch body clicks on mobile, etc.\n.dropdown-backdrop {\n  position: fixed;\n  top: 0;\n  right: 0;\n  bottom: 0;\n  left: 0;\n  z-index: (@zindex-dropdown - 10);\n}\n\n// Right aligned dropdowns\n.pull-right > .dropdown-menu {\n  right: 0;\n  left: auto;\n}\n\n// Allow for dropdowns to go bottom up (aka, dropup-menu)\n//\n// Just add .dropup after the standard .dropdown class and you're set, bro.\n// TODO: abstract this so that the navbar fixed styles are not placed here?\n\n.dropup,\n.navbar-fixed-bottom .dropdown {\n  // Reverse the caret\n  .caret {\n    content: \"\";\n    border-top: 0;\n    border-bottom: @caret-width-base dashed;\n    border-bottom: @caret-width-base solid ~\"\\9\"; // IE8\n  }\n  // Different positioning for bottom up menu\n  .dropdown-menu {\n    top: auto;\n    bottom: 100%;\n    margin-bottom: 2px;\n  }\n}\n\n\n// Component alignment\n//\n// Reiterate per navbar.less and the modified component alignment there.\n\n@media (min-width: @grid-float-breakpoint) {\n  .navbar-right {\n    .dropdown-menu {\n      .dropdown-menu-right();\n    }\n    // Necessary for overrides of the default right aligned menu.\n    // Will remove come v4 in all likelihood.\n    .dropdown-menu-left {\n      .dropdown-menu-left();\n    }\n  }\n}\n","// Horizontal dividers\n//\n// Dividers (basically an hr) within dropdowns and nav lists\n\n.nav-divider(@color: #e5e5e5) {\n  height: 1px;\n  margin: ((@line-height-computed / 2) - 1) 0;\n  overflow: hidden;\n  background-color: @color;\n}\n","// Reset filters for IE\n//\n// When you need to remove a gradient background, do not forget to use this to reset\n// the IE filter for IE9 and below.\n\n.reset-filter() {\n  filter: e(%(\"progid:DXImageTransform.Microsoft.gradient(enabled = false)\"));\n}\n","// stylelint-disable selector-no-qualifying-type */\n\n//\n// Button groups\n// --------------------------------------------------\n\n// Make the div behave like a button\n.btn-group,\n.btn-group-vertical {\n  position: relative;\n  display: inline-block;\n  vertical-align: middle; // match .btn alignment given font-size hack above\n  > .btn {\n    position: relative;\n    float: left;\n    // Bring the \"active\" button to the front\n    &:hover,\n    &:focus,\n    &:active,\n    &.active {\n      z-index: 2;\n    }\n  }\n}\n\n// Prevent double borders when buttons are next to each other\n.btn-group {\n  .btn + .btn,\n  .btn + .btn-group,\n  .btn-group + .btn,\n  .btn-group + .btn-group {\n    margin-left: -1px;\n  }\n}\n\n// Optional: Group multiple button groups together for a toolbar\n.btn-toolbar {\n  margin-left: -5px; // Offset the first child's margin\n  &:extend(.clearfix all);\n\n  .btn,\n  .btn-group,\n  .input-group {\n    float: left;\n  }\n  > .btn,\n  > .btn-group,\n  > .input-group {\n    margin-left: 5px;\n  }\n}\n\n.btn-group > .btn:not(:first-child):not(:last-child):not(.dropdown-toggle) {\n  border-radius: 0;\n}\n\n// Set corners individual because sometimes a single button can be in a .btn-group and we need :first-child and :last-child to both match\n.btn-group > .btn:first-child {\n  margin-left: 0;\n  &:not(:last-child):not(.dropdown-toggle) {\n    .border-right-radius(0);\n  }\n}\n// Need .dropdown-toggle since :last-child doesn't apply, given that a .dropdown-menu is used immediately after it\n.btn-group > .btn:last-child:not(:first-child),\n.btn-group > .dropdown-toggle:not(:first-child) {\n  .border-left-radius(0);\n}\n\n// Custom edits for including btn-groups within btn-groups (useful for including dropdown buttons within a btn-group)\n.btn-group > .btn-group {\n  float: left;\n}\n.btn-group > .btn-group:not(:first-child):not(:last-child) > .btn {\n  border-radius: 0;\n}\n.btn-group > .btn-group:first-child:not(:last-child) {\n  > .btn:last-child,\n  > .dropdown-toggle {\n    .border-right-radius(0);\n  }\n}\n.btn-group > .btn-group:last-child:not(:first-child) > .btn:first-child {\n  .border-left-radius(0);\n}\n\n// On active and open, don't show outline\n.btn-group .dropdown-toggle:active,\n.btn-group.open .dropdown-toggle {\n  outline: 0;\n}\n\n\n// Sizing\n//\n// Remix the default button sizing classes into new ones for easier manipulation.\n\n.btn-group-xs > .btn { &:extend(.btn-xs); }\n.btn-group-sm > .btn { &:extend(.btn-sm); }\n.btn-group-lg > .btn { &:extend(.btn-lg); }\n\n\n// Split button dropdowns\n// ----------------------\n\n// Give the line between buttons some depth\n.btn-group > .btn + .dropdown-toggle {\n  padding-right: 8px;\n  padding-left: 8px;\n}\n.btn-group > .btn-lg + .dropdown-toggle {\n  padding-right: 12px;\n  padding-left: 12px;\n}\n\n// The clickable button for toggling the menu\n// Remove the gradient and set the same inset shadow as the :active state\n.btn-group.open .dropdown-toggle {\n  .box-shadow(inset 0 3px 5px rgba(0, 0, 0, .125));\n\n  // Show no shadow for `.btn-link` since it has no other button styles.\n  &.btn-link {\n    .box-shadow(none);\n  }\n}\n\n\n// Reposition the caret\n.btn .caret {\n  margin-left: 0;\n}\n// Carets in other button sizes\n.btn-lg .caret {\n  border-width: @caret-width-large @caret-width-large 0;\n  border-bottom-width: 0;\n}\n// Upside down carets for .dropup\n.dropup .btn-lg .caret {\n  border-width: 0 @caret-width-large @caret-width-large;\n}\n\n\n// Vertical button groups\n// ----------------------\n\n.btn-group-vertical {\n  > .btn,\n  > .btn-group,\n  > .btn-group > .btn {\n    display: block;\n    float: none;\n    width: 100%;\n    max-width: 100%;\n  }\n\n  // Clear floats so dropdown menus can be properly placed\n  > .btn-group {\n    &:extend(.clearfix all);\n    > .btn {\n      float: none;\n    }\n  }\n\n  > .btn + .btn,\n  > .btn + .btn-group,\n  > .btn-group + .btn,\n  > .btn-group + .btn-group {\n    margin-top: -1px;\n    margin-left: 0;\n  }\n}\n\n.btn-group-vertical > .btn {\n  &:not(:first-child):not(:last-child) {\n    border-radius: 0;\n  }\n  &:first-child:not(:last-child) {\n    .border-top-radius(@btn-border-radius-base);\n    .border-bottom-radius(0);\n  }\n  &:last-child:not(:first-child) {\n    .border-top-radius(0);\n    .border-bottom-radius(@btn-border-radius-base);\n  }\n}\n.btn-group-vertical > .btn-group:not(:first-child):not(:last-child) > .btn {\n  border-radius: 0;\n}\n.btn-group-vertical > .btn-group:first-child:not(:last-child) {\n  > .btn:last-child,\n  > .dropdown-toggle {\n    .border-bottom-radius(0);\n  }\n}\n.btn-group-vertical > .btn-group:last-child:not(:first-child) > .btn:first-child {\n  .border-top-radius(0);\n}\n\n\n// Justified button groups\n// ----------------------\n\n.btn-group-justified {\n  display: table;\n  width: 100%;\n  table-layout: fixed;\n  border-collapse: separate;\n  > .btn,\n  > .btn-group {\n    display: table-cell;\n    float: none;\n    width: 1%;\n  }\n  > .btn-group .btn {\n    width: 100%;\n  }\n\n  > .btn-group .dropdown-menu {\n    left: auto;\n  }\n}\n\n\n// Checkbox and radio options\n//\n// In order to support the browser's form validation feedback, powered by the\n// `required` attribute, we have to \"hide\" the inputs via `clip`. We cannot use\n// `display: none;` or `visibility: hidden;` as that also hides the popover.\n// Simply visually hiding the inputs via `opacity` would leave them clickable in\n// certain cases which is prevented by using `clip` and `pointer-events`.\n// This way, we ensure a DOM element is visible to position the popover from.\n//\n// See https://github.com/twbs/bootstrap/pull/12794 and\n// https://github.com/twbs/bootstrap/pull/14559 for more information.\n\n[data-toggle=\"buttons\"] {\n  > .btn,\n  > .btn-group > .btn {\n    input[type=\"radio\"],\n    input[type=\"checkbox\"] {\n      position: absolute;\n      clip: rect(0, 0, 0, 0);\n      pointer-events: none;\n    }\n  }\n}\n","// Single side border-radius\n\n.border-top-radius(@radius) {\n  border-top-left-radius: @radius;\n  border-top-right-radius: @radius;\n}\n.border-right-radius(@radius) {\n  border-top-right-radius: @radius;\n  border-bottom-right-radius: @radius;\n}\n.border-bottom-radius(@radius) {\n  border-bottom-right-radius: @radius;\n  border-bottom-left-radius: @radius;\n}\n.border-left-radius(@radius) {\n  border-top-left-radius: @radius;\n  border-bottom-left-radius: @radius;\n}\n","// stylelint-disable selector-no-qualifying-type\n\n//\n// Input groups\n// --------------------------------------------------\n\n// Base styles\n// -------------------------\n.input-group {\n  position: relative; // For dropdowns\n  display: table;\n  border-collapse: separate; // prevent input groups from inheriting border styles from table cells when placed within a table\n\n  // Undo padding and float of grid classes\n  &[class*=\"col-\"] {\n    float: none;\n    padding-right: 0;\n    padding-left: 0;\n  }\n\n  .form-control {\n    // Ensure that the input is always above the *appended* addon button for\n    // proper border colors.\n    position: relative;\n    z-index: 2;\n\n    // IE9 fubars the placeholder attribute in text inputs and the arrows on\n    // select elements in input groups. To fix it, we float the input. Details:\n    // https://github.com/twbs/bootstrap/issues/11561#issuecomment-28936855\n    float: left;\n\n    width: 100%;\n    margin-bottom: 0;\n\n    &:focus {\n      z-index: 3;\n    }\n  }\n}\n\n// Sizing options\n//\n// Remix the default form control sizing classes into new ones for easier\n// manipulation.\n\n.input-group-lg > .form-control,\n.input-group-lg > .input-group-addon,\n.input-group-lg > .input-group-btn > .btn {\n  .input-lg();\n}\n.input-group-sm > .form-control,\n.input-group-sm > .input-group-addon,\n.input-group-sm > .input-group-btn > .btn {\n  .input-sm();\n}\n\n\n// Display as table-cell\n// -------------------------\n.input-group-addon,\n.input-group-btn,\n.input-group .form-control {\n  display: table-cell;\n\n  &:not(:first-child):not(:last-child) {\n    border-radius: 0;\n  }\n}\n// Addon and addon wrapper for buttons\n.input-group-addon,\n.input-group-btn {\n  width: 1%;\n  white-space: nowrap;\n  vertical-align: middle; // Match the inputs\n}\n\n// Text input groups\n// -------------------------\n.input-group-addon {\n  padding: @padding-base-vertical @padding-base-horizontal;\n  font-size: @font-size-base;\n  font-weight: 400;\n  line-height: 1;\n  color: @input-color;\n  text-align: center;\n  background-color: @input-group-addon-bg;\n  border: 1px solid @input-group-addon-border-color;\n  border-radius: @input-border-radius;\n\n  // Sizing\n  &.input-sm {\n    padding: @padding-small-vertical @padding-small-horizontal;\n    font-size: @font-size-small;\n    border-radius: @input-border-radius-small;\n  }\n  &.input-lg {\n    padding: @padding-large-vertical @padding-large-horizontal;\n    font-size: @font-size-large;\n    border-radius: @input-border-radius-large;\n  }\n\n  // Nuke default margins from checkboxes and radios to vertically center within.\n  input[type=\"radio\"],\n  input[type=\"checkbox\"] {\n    margin-top: 0;\n  }\n}\n\n// Reset rounded corners\n.input-group .form-control:first-child,\n.input-group-addon:first-child,\n.input-group-btn:first-child > .btn,\n.input-group-btn:first-child > .btn-group > .btn,\n.input-group-btn:first-child > .dropdown-toggle,\n.input-group-btn:last-child > .btn:not(:last-child):not(.dropdown-toggle),\n.input-group-btn:last-child > .btn-group:not(:last-child) > .btn {\n  .border-right-radius(0);\n}\n.input-group-addon:first-child {\n  border-right: 0;\n}\n.input-group .form-control:last-child,\n.input-group-addon:last-child,\n.input-group-btn:last-child > .btn,\n.input-group-btn:last-child > .btn-group > .btn,\n.input-group-btn:last-child > .dropdown-toggle,\n.input-group-btn:first-child > .btn:not(:first-child),\n.input-group-btn:first-child > .btn-group:not(:first-child) > .btn {\n  .border-left-radius(0);\n}\n.input-group-addon:last-child {\n  border-left: 0;\n}\n\n// Button input groups\n// -------------------------\n.input-group-btn {\n  position: relative;\n  // Jankily prevent input button groups from wrapping with `white-space` and\n  // `font-size` in combination with `inline-block` on buttons.\n  font-size: 0;\n  white-space: nowrap;\n\n  // Negative margin for spacing, position for bringing hovered/focused/actived\n  // element above the siblings.\n  > .btn {\n    position: relative;\n    + .btn {\n      margin-left: -1px;\n    }\n    // Bring the \"active\" button to the front\n    &:hover,\n    &:focus,\n    &:active {\n      z-index: 2;\n    }\n  }\n\n  // Negative margin to only have a 1px border between the two\n  &:first-child {\n    > .btn,\n    > .btn-group {\n      margin-right: -1px;\n    }\n  }\n  &:last-child {\n    > .btn,\n    > .btn-group {\n      z-index: 2;\n      margin-left: -1px;\n    }\n  }\n}\n","// stylelint-disable selector-no-qualifying-type, selector-max-type\n\n//\n// Navs\n// --------------------------------------------------\n\n\n// Base class\n// --------------------------------------------------\n\n.nav {\n  padding-left: 0; // Override default ul/ol\n  margin-bottom: 0;\n  list-style: none;\n  &:extend(.clearfix all);\n\n  > li {\n    position: relative;\n    display: block;\n\n    > a {\n      position: relative;\n      display: block;\n      padding: @nav-link-padding;\n      &:hover,\n      &:focus {\n        text-decoration: none;\n        background-color: @nav-link-hover-bg;\n      }\n    }\n\n    // Disabled state sets text to gray and nukes hover/tab effects\n    &.disabled > a {\n      color: @nav-disabled-link-color;\n\n      &:hover,\n      &:focus {\n        color: @nav-disabled-link-hover-color;\n        text-decoration: none;\n        cursor: @cursor-disabled;\n        background-color: transparent;\n      }\n    }\n  }\n\n  // Open dropdowns\n  .open > a {\n    &,\n    &:hover,\n    &:focus {\n      background-color: @nav-link-hover-bg;\n      border-color: @link-color;\n    }\n  }\n\n  // Nav dividers (deprecated with v3.0.1)\n  //\n  // This should have been removed in v3 with the dropping of `.nav-list`, but\n  // we missed it. We don't currently support this anywhere, but in the interest\n  // of maintaining backward compatibility in case you use it, it's deprecated.\n  .nav-divider {\n    .nav-divider();\n  }\n\n  // Prevent IE8 from misplacing imgs\n  //\n  // See https://github.com/h5bp/html5-boilerplate/issues/984#issuecomment-3985989\n  > li > a > img {\n    max-width: none;\n  }\n}\n\n\n// Tabs\n// -------------------------\n\n// Give the tabs something to sit on\n.nav-tabs {\n  border-bottom: 1px solid @nav-tabs-border-color;\n  > li {\n    float: left;\n    // Make the list-items overlay the bottom border\n    margin-bottom: -1px;\n\n    // Actual tabs (as links)\n    > a {\n      margin-right: 2px;\n      line-height: @line-height-base;\n      border: 1px solid transparent;\n      border-radius: @border-radius-base @border-radius-base 0 0;\n      &:hover {\n        border-color: @nav-tabs-link-hover-border-color @nav-tabs-link-hover-border-color @nav-tabs-border-color;\n      }\n    }\n\n    // Active state, and its :hover to override normal :hover\n    &.active > a {\n      &,\n      &:hover,\n      &:focus {\n        color: @nav-tabs-active-link-hover-color;\n        cursor: default;\n        background-color: @nav-tabs-active-link-hover-bg;\n        border: 1px solid @nav-tabs-active-link-hover-border-color;\n        border-bottom-color: transparent;\n      }\n    }\n  }\n  // pulling this in mainly for less shorthand\n  &.nav-justified {\n    .nav-justified();\n    .nav-tabs-justified();\n  }\n}\n\n\n// Pills\n// -------------------------\n.nav-pills {\n  > li {\n    float: left;\n\n    // Links rendered as pills\n    > a {\n      border-radius: @nav-pills-border-radius;\n    }\n    + li {\n      margin-left: 2px;\n    }\n\n    // Active state\n    &.active > a {\n      &,\n      &:hover,\n      &:focus {\n        color: @nav-pills-active-link-hover-color;\n        background-color: @nav-pills-active-link-hover-bg;\n      }\n    }\n  }\n}\n\n\n// Stacked pills\n.nav-stacked {\n  > li {\n    float: none;\n    + li {\n      margin-top: 2px;\n      margin-left: 0; // no need for this gap between nav items\n    }\n  }\n}\n\n\n// Nav variations\n// --------------------------------------------------\n\n// Justified nav links\n// -------------------------\n\n.nav-justified {\n  width: 100%;\n\n  > li {\n    float: none;\n    > a {\n      margin-bottom: 5px;\n      text-align: center;\n    }\n  }\n\n  > .dropdown .dropdown-menu {\n    top: auto;\n    left: auto;\n  }\n\n  @media (min-width: @screen-sm-min) {\n    > li {\n      display: table-cell;\n      width: 1%;\n      > a {\n        margin-bottom: 0;\n      }\n    }\n  }\n}\n\n// Move borders to anchors instead of bottom of list\n//\n// Mixin for adding on top the shared `.nav-justified` styles for our tabs\n.nav-tabs-justified {\n  border-bottom: 0;\n\n  > li > a {\n    // Override margin from .nav-tabs\n    margin-right: 0;\n    border-radius: @border-radius-base;\n  }\n\n  > .active > a,\n  > .active > a:hover,\n  > .active > a:focus {\n    border: 1px solid @nav-tabs-justified-link-border-color;\n  }\n\n  @media (min-width: @screen-sm-min) {\n    > li > a {\n      border-bottom: 1px solid @nav-tabs-justified-link-border-color;\n      border-radius: @border-radius-base @border-radius-base 0 0;\n    }\n    > .active > a,\n    > .active > a:hover,\n    > .active > a:focus {\n      border-bottom-color: @nav-tabs-justified-active-link-border-color;\n    }\n  }\n}\n\n\n// Tabbable tabs\n// -------------------------\n\n// Hide tabbable panes to start, show them when `.active`\n.tab-content {\n  > .tab-pane {\n    display: none;\n  }\n  > .active {\n    display: block;\n  }\n}\n\n\n// Dropdowns\n// -------------------------\n\n// Specific dropdowns\n.nav-tabs .dropdown-menu {\n  // make dropdown border overlap tab border\n  margin-top: -1px;\n  // Remove the top rounded corners here since there is a hard edge above the menu\n  .border-top-radius(0);\n}\n","// stylelint-disable selector-max-type, selector-max-compound-selectors, selector-max-combinators, selector-max-class, declaration-no-important, selector-no-qualifying-type\n\n//\n// Navbars\n// --------------------------------------------------\n\n\n// Wrapper and base class\n//\n// Provide a static navbar from which we expand to create full-width, fixed, and\n// other navbar variations.\n\n.navbar {\n  position: relative;\n  min-height: @navbar-height; // Ensure a navbar always shows (e.g., without a .navbar-brand in collapsed mode)\n  margin-bottom: @navbar-margin-bottom;\n  border: 1px solid transparent;\n\n  // Prevent floats from breaking the navbar\n  &:extend(.clearfix all);\n\n  @media (min-width: @grid-float-breakpoint) {\n    border-radius: @navbar-border-radius;\n  }\n}\n\n\n// Navbar heading\n//\n// Groups `.navbar-brand` and `.navbar-toggle` into a single component for easy\n// styling of responsive aspects.\n\n.navbar-header {\n  &:extend(.clearfix all);\n\n  @media (min-width: @grid-float-breakpoint) {\n    float: left;\n  }\n}\n\n\n// Navbar collapse (body)\n//\n// Group your navbar content into this for easy collapsing and expanding across\n// various device sizes. By default, this content is collapsed when <768px, but\n// will expand past that for a horizontal display.\n//\n// To start (on mobile devices) the navbar links, forms, and buttons are stacked\n// vertically and include a `max-height` to overflow in case you have too much\n// content for the user's viewport.\n\n.navbar-collapse {\n  padding-right: @navbar-padding-horizontal;\n  padding-left: @navbar-padding-horizontal;\n  overflow-x: visible;\n  border-top: 1px solid transparent;\n  box-shadow: inset 0 1px 0 rgba(255, 255, 255, .1);\n  &:extend(.clearfix all);\n  -webkit-overflow-scrolling: touch;\n\n  &.in {\n    overflow-y: auto;\n  }\n\n  @media (min-width: @grid-float-breakpoint) {\n    width: auto;\n    border-top: 0;\n    box-shadow: none;\n\n    &.collapse {\n      display: block !important;\n      height: auto !important;\n      padding-bottom: 0; // Override default setting\n      overflow: visible !important;\n    }\n\n    &.in {\n      overflow-y: visible;\n    }\n\n    // Undo the collapse side padding for navbars with containers to ensure\n    // alignment of right-aligned contents.\n    .navbar-fixed-top &,\n    .navbar-static-top &,\n    .navbar-fixed-bottom & {\n      padding-right: 0;\n      padding-left: 0;\n    }\n  }\n}\n\n.navbar-fixed-top,\n.navbar-fixed-bottom {\n  .navbar-collapse {\n    max-height: @navbar-collapse-max-height;\n\n    @media (max-device-width: @screen-xs-min) and (orientation: landscape) {\n      max-height: 200px;\n    }\n  }\n\n  // Fix the top/bottom navbars when screen real estate supports it\n  position: fixed;\n  right: 0;\n  left: 0;\n  z-index: @zindex-navbar-fixed;\n\n  // Undo the rounded corners\n  @media (min-width: @grid-float-breakpoint) {\n    border-radius: 0;\n  }\n}\n\n.navbar-fixed-top {\n  top: 0;\n  border-width: 0 0 1px;\n}\n.navbar-fixed-bottom {\n  bottom: 0;\n  margin-bottom: 0; // override .navbar defaults\n  border-width: 1px 0 0;\n}\n\n\n// Both navbar header and collapse\n//\n// When a container is present, change the behavior of the header and collapse.\n\n.container,\n.container-fluid {\n  > .navbar-header,\n  > .navbar-collapse {\n    margin-right: -@navbar-padding-horizontal;\n    margin-left: -@navbar-padding-horizontal;\n\n    @media (min-width: @grid-float-breakpoint) {\n      margin-right: 0;\n      margin-left: 0;\n    }\n  }\n}\n\n\n//\n// Navbar alignment options\n//\n// Display the navbar across the entirety of the page or fixed it to the top or\n// bottom of the page.\n\n// Static top (unfixed, but 100% wide) navbar\n.navbar-static-top {\n  z-index: @zindex-navbar;\n  border-width: 0 0 1px;\n\n  @media (min-width: @grid-float-breakpoint) {\n    border-radius: 0;\n  }\n}\n\n\n// Brand/project name\n\n.navbar-brand {\n  float: left;\n  height: @navbar-height;\n  padding: @navbar-padding-vertical @navbar-padding-horizontal;\n  font-size: @font-size-large;\n  line-height: @line-height-computed;\n\n  &:hover,\n  &:focus {\n    text-decoration: none;\n  }\n\n  > img {\n    display: block;\n  }\n\n  @media (min-width: @grid-float-breakpoint) {\n    .navbar > .container &,\n    .navbar > .container-fluid & {\n      margin-left: -@navbar-padding-horizontal;\n    }\n  }\n}\n\n\n// Navbar toggle\n//\n// Custom button for toggling the `.navbar-collapse`, powered by the collapse\n// JavaScript plugin.\n\n.navbar-toggle {\n  position: relative;\n  float: right;\n  padding: 9px 10px;\n  margin-right: @navbar-padding-horizontal;\n  .navbar-vertical-align(34px);\n  background-color: transparent;\n  background-image: none; // Reset unusual Firefox-on-Android default style; see https://github.com/necolas/normalize.css/issues/214\n  border: 1px solid transparent;\n  border-radius: @border-radius-base;\n\n  // We remove the `outline` here, but later compensate by attaching `:hover`\n  // styles to `:focus`.\n  &:focus {\n    outline: 0;\n  }\n\n  // Bars\n  .icon-bar {\n    display: block;\n    width: 22px;\n    height: 2px;\n    border-radius: 1px;\n  }\n  .icon-bar + .icon-bar {\n    margin-top: 4px;\n  }\n\n  @media (min-width: @grid-float-breakpoint) {\n    display: none;\n  }\n}\n\n\n// Navbar nav links\n//\n// Builds on top of the `.nav` components with its own modifier class to make\n// the nav the full height of the horizontal nav (above 768px).\n\n.navbar-nav {\n  margin: (@navbar-padding-vertical / 2) -@navbar-padding-horizontal;\n\n  > li > a {\n    padding-top: 10px;\n    padding-bottom: 10px;\n    line-height: @line-height-computed;\n  }\n\n  @media (max-width: @grid-float-breakpoint-max) {\n    // Dropdowns get custom display when collapsed\n    .open .dropdown-menu {\n      position: static;\n      float: none;\n      width: auto;\n      margin-top: 0;\n      background-color: transparent;\n      border: 0;\n      box-shadow: none;\n      > li > a,\n      .dropdown-header {\n        padding: 5px 15px 5px 25px;\n      }\n      > li > a {\n        line-height: @line-height-computed;\n        &:hover,\n        &:focus {\n          background-image: none;\n        }\n      }\n    }\n  }\n\n  // Uncollapse the nav\n  @media (min-width: @grid-float-breakpoint) {\n    float: left;\n    margin: 0;\n\n    > li {\n      float: left;\n      > a {\n        padding-top: @navbar-padding-vertical;\n        padding-bottom: @navbar-padding-vertical;\n      }\n    }\n  }\n}\n\n\n// Navbar form\n//\n// Extension of the `.form-inline` with some extra flavor for optimum display in\n// our navbars.\n\n.navbar-form {\n  padding: 10px @navbar-padding-horizontal;\n  margin-right: -@navbar-padding-horizontal;\n  margin-left: -@navbar-padding-horizontal;\n  border-top: 1px solid transparent;\n  border-bottom: 1px solid transparent;\n  @shadow: inset 0 1px 0 rgba(255, 255, 255, .1), 0 1px 0 rgba(255, 255, 255, .1);\n  .box-shadow(@shadow);\n\n  // Mixin behavior for optimum display\n  .form-inline();\n\n  .form-group {\n    @media (max-width: @grid-float-breakpoint-max) {\n      margin-bottom: 5px;\n\n      &:last-child {\n        margin-bottom: 0;\n      }\n    }\n  }\n\n  // Vertically center in expanded, horizontal navbar\n  .navbar-vertical-align(@input-height-base);\n\n  // Undo 100% width for pull classes\n  @media (min-width: @grid-float-breakpoint) {\n    width: auto;\n    padding-top: 0;\n    padding-bottom: 0;\n    margin-right: 0;\n    margin-left: 0;\n    border: 0;\n    .box-shadow(none);\n  }\n}\n\n\n// Dropdown menus\n\n// Menu position and menu carets\n.navbar-nav > li > .dropdown-menu {\n  margin-top: 0;\n  .border-top-radius(0);\n}\n// Menu position and menu caret support for dropups via extra dropup class\n.navbar-fixed-bottom .navbar-nav > li > .dropdown-menu {\n  margin-bottom: 0;\n  .border-top-radius(@navbar-border-radius);\n  .border-bottom-radius(0);\n}\n\n\n// Buttons in navbars\n//\n// Vertically center a button within a navbar (when *not* in a form).\n\n.navbar-btn {\n  .navbar-vertical-align(@input-height-base);\n\n  &.btn-sm {\n    .navbar-vertical-align(@input-height-small);\n  }\n  &.btn-xs {\n    .navbar-vertical-align(22);\n  }\n}\n\n\n// Text in navbars\n//\n// Add a class to make any element properly align itself vertically within the navbars.\n\n.navbar-text {\n  .navbar-vertical-align(@line-height-computed);\n\n  @media (min-width: @grid-float-breakpoint) {\n    float: left;\n    margin-right: @navbar-padding-horizontal;\n    margin-left: @navbar-padding-horizontal;\n  }\n}\n\n\n// Component alignment\n//\n// Repurpose the pull utilities as their own navbar utilities to avoid specificity\n// issues with parents and chaining. Only do this when the navbar is uncollapsed\n// though so that navbar contents properly stack and align in mobile.\n//\n// Declared after the navbar components to ensure more specificity on the margins.\n\n@media (min-width: @grid-float-breakpoint) {\n  .navbar-left  { .pull-left(); }\n  .navbar-right {\n    .pull-right();\n    margin-right: -@navbar-padding-horizontal;\n\n    ~ .navbar-right {\n      margin-right: 0;\n    }\n  }\n}\n\n\n// Alternate navbars\n// --------------------------------------------------\n\n// Default navbar\n.navbar-default {\n  background-color: @navbar-default-bg;\n  border-color: @navbar-default-border;\n\n  .navbar-brand {\n    color: @navbar-default-brand-color;\n    &:hover,\n    &:focus {\n      color: @navbar-default-brand-hover-color;\n      background-color: @navbar-default-brand-hover-bg;\n    }\n  }\n\n  .navbar-text {\n    color: @navbar-default-color;\n  }\n\n  .navbar-nav {\n    > li > a {\n      color: @navbar-default-link-color;\n\n      &:hover,\n      &:focus {\n        color: @navbar-default-link-hover-color;\n        background-color: @navbar-default-link-hover-bg;\n      }\n    }\n    > .active > a {\n      &,\n      &:hover,\n      &:focus {\n        color: @navbar-default-link-active-color;\n        background-color: @navbar-default-link-active-bg;\n      }\n    }\n    > .disabled > a {\n      &,\n      &:hover,\n      &:focus {\n        color: @navbar-default-link-disabled-color;\n        background-color: @navbar-default-link-disabled-bg;\n      }\n    }\n\n    // Dropdown menu items\n    // Remove background color from open dropdown\n    > .open > a {\n      &,\n      &:hover,\n      &:focus {\n        color: @navbar-default-link-active-color;\n        background-color: @navbar-default-link-active-bg;\n      }\n    }\n\n    @media (max-width: @grid-float-breakpoint-max) {\n      // Dropdowns get custom display when collapsed\n      .open .dropdown-menu {\n        > li > a {\n          color: @navbar-default-link-color;\n          &:hover,\n          &:focus {\n            color: @navbar-default-link-hover-color;\n            background-color: @navbar-default-link-hover-bg;\n          }\n        }\n        > .active > a {\n          &,\n          &:hover,\n          &:focus {\n            color: @navbar-default-link-active-color;\n            background-color: @navbar-default-link-active-bg;\n          }\n        }\n        > .disabled > a {\n          &,\n          &:hover,\n          &:focus {\n            color: @navbar-default-link-disabled-color;\n            background-color: @navbar-default-link-disabled-bg;\n          }\n        }\n      }\n    }\n  }\n\n  .navbar-toggle {\n    border-color: @navbar-default-toggle-border-color;\n    &:hover,\n    &:focus {\n      background-color: @navbar-default-toggle-hover-bg;\n    }\n    .icon-bar {\n      background-color: @navbar-default-toggle-icon-bar-bg;\n    }\n  }\n\n  .navbar-collapse,\n  .navbar-form {\n    border-color: @navbar-default-border;\n  }\n\n\n  // Links in navbars\n  //\n  // Add a class to ensure links outside the navbar nav are colored correctly.\n\n  .navbar-link {\n    color: @navbar-default-link-color;\n    &:hover {\n      color: @navbar-default-link-hover-color;\n    }\n  }\n\n  .btn-link {\n    color: @navbar-default-link-color;\n    &:hover,\n    &:focus {\n      color: @navbar-default-link-hover-color;\n    }\n    &[disabled],\n    fieldset[disabled] & {\n      &:hover,\n      &:focus {\n        color: @navbar-default-link-disabled-color;\n      }\n    }\n  }\n}\n\n// Inverse navbar\n\n.navbar-inverse {\n  background-color: @navbar-inverse-bg;\n  border-color: @navbar-inverse-border;\n\n  .navbar-brand {\n    color: @navbar-inverse-brand-color;\n    &:hover,\n    &:focus {\n      color: @navbar-inverse-brand-hover-color;\n      background-color: @navbar-inverse-brand-hover-bg;\n    }\n  }\n\n  .navbar-text {\n    color: @navbar-inverse-color;\n  }\n\n  .navbar-nav {\n    > li > a {\n      color: @navbar-inverse-link-color;\n\n      &:hover,\n      &:focus {\n        color: @navbar-inverse-link-hover-color;\n        background-color: @navbar-inverse-link-hover-bg;\n      }\n    }\n    > .active > a {\n      &,\n      &:hover,\n      &:focus {\n        color: @navbar-inverse-link-active-color;\n        background-color: @navbar-inverse-link-active-bg;\n      }\n    }\n    > .disabled > a {\n      &,\n      &:hover,\n      &:focus {\n        color: @navbar-inverse-link-disabled-color;\n        background-color: @navbar-inverse-link-disabled-bg;\n      }\n    }\n\n    // Dropdowns\n    > .open > a {\n      &,\n      &:hover,\n      &:focus {\n        color: @navbar-inverse-link-active-color;\n        background-color: @navbar-inverse-link-active-bg;\n      }\n    }\n\n    @media (max-width: @grid-float-breakpoint-max) {\n      // Dropdowns get custom display\n      .open .dropdown-menu {\n        > .dropdown-header {\n          border-color: @navbar-inverse-border;\n        }\n        .divider {\n          background-color: @navbar-inverse-border;\n        }\n        > li > a {\n          color: @navbar-inverse-link-color;\n          &:hover,\n          &:focus {\n            color: @navbar-inverse-link-hover-color;\n            background-color: @navbar-inverse-link-hover-bg;\n          }\n        }\n        > .active > a {\n          &,\n          &:hover,\n          &:focus {\n            color: @navbar-inverse-link-active-color;\n            background-color: @navbar-inverse-link-active-bg;\n          }\n        }\n        > .disabled > a {\n          &,\n          &:hover,\n          &:focus {\n            color: @navbar-inverse-link-disabled-color;\n            background-color: @navbar-inverse-link-disabled-bg;\n          }\n        }\n      }\n    }\n  }\n\n  // Darken the responsive nav toggle\n  .navbar-toggle {\n    border-color: @navbar-inverse-toggle-border-color;\n    &:hover,\n    &:focus {\n      background-color: @navbar-inverse-toggle-hover-bg;\n    }\n    .icon-bar {\n      background-color: @navbar-inverse-toggle-icon-bar-bg;\n    }\n  }\n\n  .navbar-collapse,\n  .navbar-form {\n    border-color: darken(@navbar-inverse-bg, 7%);\n  }\n\n  .navbar-link {\n    color: @navbar-inverse-link-color;\n    &:hover {\n      color: @navbar-inverse-link-hover-color;\n    }\n  }\n\n  .btn-link {\n    color: @navbar-inverse-link-color;\n    &:hover,\n    &:focus {\n      color: @navbar-inverse-link-hover-color;\n    }\n    &[disabled],\n    fieldset[disabled] & {\n      &:hover,\n      &:focus {\n        color: @navbar-inverse-link-disabled-color;\n      }\n    }\n  }\n}\n","// Navbar vertical align\n//\n// Vertically center elements in the navbar.\n// Example: an element has a height of 30px, so write out `.navbar-vertical-align(30px);` to calculate the appropriate top margin.\n\n.navbar-vertical-align(@element-height) {\n  margin-top: ((@navbar-height - @element-height) / 2);\n  margin-bottom: ((@navbar-height - @element-height) / 2);\n}\n","// stylelint-disable declaration-no-important\n\n//\n// Utility classes\n// --------------------------------------------------\n\n\n// Floats\n// -------------------------\n\n.clearfix {\n  .clearfix();\n}\n.center-block {\n  .center-block();\n}\n.pull-right {\n  float: right !important;\n}\n.pull-left {\n  float: left !important;\n}\n\n\n// Toggling content\n// -------------------------\n\n// Note: Deprecated .hide in favor of .hidden or .sr-only (as appropriate) in v3.0.1\n.hide {\n  display: none !important;\n}\n.show {\n  display: block !important;\n}\n.invisible {\n  visibility: hidden;\n}\n.text-hide {\n  .text-hide();\n}\n\n\n// Hide from screenreaders and browsers\n//\n// Credit: HTML5 Boilerplate\n\n.hidden {\n  display: none !important;\n}\n\n\n// For Affix plugin\n// -------------------------\n\n.affix {\n  position: fixed;\n}\n","//\n// Breadcrumbs\n// --------------------------------------------------\n\n\n.breadcrumb {\n  padding: @breadcrumb-padding-vertical @breadcrumb-padding-horizontal;\n  margin-bottom: @line-height-computed;\n  list-style: none;\n  background-color: @breadcrumb-bg;\n  border-radius: @border-radius-base;\n\n  > li {\n    display: inline-block;\n\n    + li:before {\n      padding: 0 5px;\n      color: @breadcrumb-color;\n      content: \"@{breadcrumb-separator}\\00a0\"; // Unicode space added since inline-block means non-collapsing white-space\n    }\n  }\n\n  > .active {\n    color: @breadcrumb-active-color;\n  }\n}\n","//\n// Pagination (multiple pages)\n// --------------------------------------------------\n.pagination {\n  display: inline-block;\n  padding-left: 0;\n  margin: @line-height-computed 0;\n  border-radius: @border-radius-base;\n\n  > li {\n    display: inline; // Remove list-style and block-level defaults\n    > a,\n    > span {\n      position: relative;\n      float: left; // Collapse white-space\n      padding: @padding-base-vertical @padding-base-horizontal;\n      margin-left: -1px;\n      line-height: @line-height-base;\n      color: @pagination-color;\n      text-decoration: none;\n      background-color: @pagination-bg;\n      border: 1px solid @pagination-border;\n\n      &:hover,\n      &:focus {\n        z-index: 2;\n        color: @pagination-hover-color;\n        background-color: @pagination-hover-bg;\n        border-color: @pagination-hover-border;\n      }\n    }\n    &:first-child {\n      > a,\n      > span {\n        margin-left: 0;\n        .border-left-radius(@border-radius-base);\n      }\n    }\n    &:last-child {\n      > a,\n      > span {\n        .border-right-radius(@border-radius-base);\n      }\n    }\n  }\n\n  > .active > a,\n  > .active > span {\n    &,\n    &:hover,\n    &:focus {\n      z-index: 3;\n      color: @pagination-active-color;\n      cursor: default;\n      background-color: @pagination-active-bg;\n      border-color: @pagination-active-border;\n    }\n  }\n\n  > .disabled {\n    > span,\n    > span:hover,\n    > span:focus,\n    > a,\n    > a:hover,\n    > a:focus {\n      color: @pagination-disabled-color;\n      cursor: @cursor-disabled;\n      background-color: @pagination-disabled-bg;\n      border-color: @pagination-disabled-border;\n    }\n  }\n}\n\n// Sizing\n// --------------------------------------------------\n\n// Large\n.pagination-lg {\n  .pagination-size(@padding-large-vertical; @padding-large-horizontal; @font-size-large; @line-height-large; @border-radius-large);\n}\n\n// Small\n.pagination-sm {\n  .pagination-size(@padding-small-vertical; @padding-small-horizontal; @font-size-small; @line-height-small; @border-radius-small);\n}\n","// Pagination\n\n.pagination-size(@padding-vertical; @padding-horizontal; @font-size; @line-height; @border-radius) {\n  > li {\n    > a,\n    > span {\n      padding: @padding-vertical @padding-horizontal;\n      font-size: @font-size;\n      line-height: @line-height;\n    }\n    &:first-child {\n      > a,\n      > span {\n        .border-left-radius(@border-radius);\n      }\n    }\n    &:last-child {\n      > a,\n      > span {\n        .border-right-radius(@border-radius);\n      }\n    }\n  }\n}\n","//\n// Pager pagination\n// --------------------------------------------------\n\n\n.pager {\n  padding-left: 0;\n  margin: @line-height-computed 0;\n  text-align: center;\n  list-style: none;\n  &:extend(.clearfix all);\n  li {\n    display: inline;\n    > a,\n    > span {\n      display: inline-block;\n      padding: 5px 14px;\n      background-color: @pager-bg;\n      border: 1px solid @pager-border;\n      border-radius: @pager-border-radius;\n    }\n\n    > a:hover,\n    > a:focus {\n      text-decoration: none;\n      background-color: @pager-hover-bg;\n    }\n  }\n\n  .next {\n    > a,\n    > span {\n      float: right;\n    }\n  }\n\n  .previous {\n    > a,\n    > span {\n      float: left;\n    }\n  }\n\n  .disabled {\n    > a,\n    > a:hover,\n    > a:focus,\n    > span {\n      color: @pager-disabled-color;\n      cursor: @cursor-disabled;\n      background-color: @pager-bg;\n    }\n  }\n}\n","//\n// Labels\n// --------------------------------------------------\n\n.label {\n  display: inline;\n  padding: .2em .6em .3em;\n  font-size: 75%;\n  font-weight: 700;\n  line-height: 1;\n  color: @label-color;\n  text-align: center;\n  white-space: nowrap;\n  vertical-align: baseline;\n  border-radius: .25em;\n\n  // Add hover effects, but only for links\n  a& {\n    &:hover,\n    &:focus {\n      color: @label-link-hover-color;\n      text-decoration: none;\n      cursor: pointer;\n    }\n  }\n\n  // Empty labels collapse automatically (not available in IE8)\n  &:empty {\n    display: none;\n  }\n\n  // Quick fix for labels in buttons\n  .btn & {\n    position: relative;\n    top: -1px;\n  }\n}\n\n// Colors\n// Contextual variations (linked labels get darker on :hover)\n\n.label-default {\n  .label-variant(@label-default-bg);\n}\n\n.label-primary {\n  .label-variant(@label-primary-bg);\n}\n\n.label-success {\n  .label-variant(@label-success-bg);\n}\n\n.label-info {\n  .label-variant(@label-info-bg);\n}\n\n.label-warning {\n  .label-variant(@label-warning-bg);\n}\n\n.label-danger {\n  .label-variant(@label-danger-bg);\n}\n","// Labels\n\n.label-variant(@color) {\n  background-color: @color;\n\n  &[href] {\n    &:hover,\n    &:focus {\n      background-color: darken(@color, 10%);\n    }\n  }\n}\n","//\n// Badges\n// --------------------------------------------------\n\n\n// Base class\n.badge {\n  display: inline-block;\n  min-width: 10px;\n  padding: 3px 7px;\n  font-size: @font-size-small;\n  font-weight: @badge-font-weight;\n  line-height: @badge-line-height;\n  color: @badge-color;\n  text-align: center;\n  white-space: nowrap;\n  vertical-align: middle;\n  background-color: @badge-bg;\n  border-radius: @badge-border-radius;\n\n  // Empty badges collapse automatically (not available in IE8)\n  &:empty {\n    display: none;\n  }\n\n  // Quick fix for badges in buttons\n  .btn & {\n    position: relative;\n    top: -1px;\n  }\n\n  .btn-xs &,\n  .btn-group-xs > .btn & {\n    top: 0;\n    padding: 1px 5px;\n  }\n\n  // Hover state, but only for links\n  a& {\n    &:hover,\n    &:focus {\n      color: @badge-link-hover-color;\n      text-decoration: none;\n      cursor: pointer;\n    }\n  }\n\n  // Account for badges in navs\n  .list-group-item.active > &,\n  .nav-pills > .active > a > & {\n    color: @badge-active-color;\n    background-color: @badge-active-bg;\n  }\n\n  .list-group-item > & {\n    float: right;\n  }\n\n  .list-group-item > & + & {\n    margin-right: 5px;\n  }\n\n  .nav-pills > li > a > & {\n    margin-left: 3px;\n  }\n}\n","//\n// Jumbotron\n// --------------------------------------------------\n\n\n.jumbotron {\n  padding-top: @jumbotron-padding;\n  padding-bottom: @jumbotron-padding;\n  margin-bottom: @jumbotron-padding;\n  color: @jumbotron-color;\n  background-color: @jumbotron-bg;\n\n  h1,\n  .h1 {\n    color: @jumbotron-heading-color;\n  }\n\n  p {\n    margin-bottom: (@jumbotron-padding / 2);\n    font-size: @jumbotron-font-size;\n    font-weight: 200;\n  }\n\n  > hr {\n    border-top-color: darken(@jumbotron-bg, 10%);\n  }\n\n  .container &,\n  .container-fluid & {\n    padding-right: (@grid-gutter-width / 2);\n    padding-left: (@grid-gutter-width / 2);\n    border-radius: @border-radius-large; // Only round corners at higher resolutions if contained in a container\n  }\n\n  .container {\n    max-width: 100%;\n  }\n\n  @media screen and (min-width: @screen-sm-min) {\n    padding-top: (@jumbotron-padding * 1.6);\n    padding-bottom: (@jumbotron-padding * 1.6);\n\n    .container &,\n    .container-fluid & {\n      padding-right: (@jumbotron-padding * 2);\n      padding-left: (@jumbotron-padding * 2);\n    }\n\n    h1,\n    .h1 {\n      font-size: @jumbotron-heading-font-size;\n    }\n  }\n}\n","// stylelint-disable selector-no-qualifying-type\n\n//\n// Thumbnails\n// --------------------------------------------------\n\n\n// Mixin and adjust the regular image class\n.thumbnail {\n  display: block;\n  padding: @thumbnail-padding;\n  margin-bottom: @line-height-computed;\n  line-height: @line-height-base;\n  background-color: @thumbnail-bg;\n  border: 1px solid @thumbnail-border;\n  border-radius: @thumbnail-border-radius;\n  .transition(border .2s ease-in-out);\n\n  > img,\n  a > img {\n    &:extend(.img-responsive);\n    margin-right: auto;\n    margin-left: auto;\n  }\n\n  // Add a hover state for linked versions only\n  a&:hover,\n  a&:focus,\n  a&.active {\n    border-color: @link-color;\n  }\n\n  // Image captions\n  .caption {\n    padding: @thumbnail-caption-padding;\n    color: @thumbnail-caption-color;\n  }\n}\n","//\n// Alerts\n// --------------------------------------------------\n\n\n// Base styles\n// -------------------------\n\n.alert {\n  padding: @alert-padding;\n  margin-bottom: @line-height-computed;\n  border: 1px solid transparent;\n  border-radius: @alert-border-radius;\n\n  // Headings for larger alerts\n  h4 {\n    margin-top: 0;\n    color: inherit; // Specified for the h4 to prevent conflicts of changing @headings-color\n  }\n\n  // Provide class for links that match alerts\n  .alert-link {\n    font-weight: @alert-link-font-weight;\n  }\n\n  // Improve alignment and spacing of inner content\n  > p,\n  > ul {\n    margin-bottom: 0;\n  }\n\n  > p + p {\n    margin-top: 5px;\n  }\n}\n\n// Dismissible alerts\n//\n// Expand the right padding and account for the close button's positioning.\n\n// The misspelled .alert-dismissable was deprecated in 3.2.0.\n.alert-dismissable,\n.alert-dismissible {\n  padding-right: (@alert-padding + 20);\n\n  // Adjust close link position\n  .close {\n    position: relative;\n    top: -2px;\n    right: -21px;\n    color: inherit;\n  }\n}\n\n// Alternate styles\n//\n// Generate contextual modifier classes for colorizing the alert.\n\n.alert-success {\n  .alert-variant(@alert-success-bg; @alert-success-border; @alert-success-text);\n}\n\n.alert-info {\n  .alert-variant(@alert-info-bg; @alert-info-border; @alert-info-text);\n}\n\n.alert-warning {\n  .alert-variant(@alert-warning-bg; @alert-warning-border; @alert-warning-text);\n}\n\n.alert-danger {\n  .alert-variant(@alert-danger-bg; @alert-danger-border; @alert-danger-text);\n}\n","// Alerts\n\n.alert-variant(@background; @border; @text-color) {\n  color: @text-color;\n  background-color: @background;\n  border-color: @border;\n\n  hr {\n    border-top-color: darken(@border, 5%);\n  }\n\n  .alert-link {\n    color: darken(@text-color, 10%);\n  }\n}\n","// stylelint-disable at-rule-no-vendor-prefix\n\n//\n// Progress bars\n// --------------------------------------------------\n\n\n// Bar animations\n// -------------------------\n\n// WebKit\n@-webkit-keyframes progress-bar-stripes {\n  from  { background-position: 40px 0; }\n  to    { background-position: 0 0; }\n}\n\n// Spec and IE10+\n@keyframes progress-bar-stripes {\n  from  { background-position: 40px 0; }\n  to    { background-position: 0 0; }\n}\n\n\n// Bar itself\n// -------------------------\n\n// Outer container\n.progress {\n  height: @line-height-computed;\n  margin-bottom: @line-height-computed;\n  overflow: hidden;\n  background-color: @progress-bg;\n  border-radius: @progress-border-radius;\n  .box-shadow(inset 0 1px 2px rgba(0, 0, 0, .1));\n}\n\n// Bar of progress\n.progress-bar {\n  float: left;\n  width: 0%;\n  height: 100%;\n  font-size: @font-size-small;\n  line-height: @line-height-computed;\n  color: @progress-bar-color;\n  text-align: center;\n  background-color: @progress-bar-bg;\n  .box-shadow(inset 0 -1px 0 rgba(0, 0, 0, .15));\n  .transition(width .6s ease);\n}\n\n// Striped bars\n//\n// `.progress-striped .progress-bar` is deprecated as of v3.2.0 in favor of the\n// `.progress-bar-striped` class, which you just add to an existing\n// `.progress-bar`.\n.progress-striped .progress-bar,\n.progress-bar-striped {\n  #gradient > .striped();\n  background-size: 40px 40px;\n}\n\n// Call animation for the active one\n//\n// `.progress.active .progress-bar` is deprecated as of v3.2.0 in favor of the\n// `.progress-bar.active` approach.\n.progress.active .progress-bar,\n.progress-bar.active {\n  .animation(progress-bar-stripes 2s linear infinite);\n}\n\n\n// Variations\n// -------------------------\n\n.progress-bar-success {\n  .progress-bar-variant(@progress-bar-success-bg);\n}\n\n.progress-bar-info {\n  .progress-bar-variant(@progress-bar-info-bg);\n}\n\n.progress-bar-warning {\n  .progress-bar-variant(@progress-bar-warning-bg);\n}\n\n.progress-bar-danger {\n  .progress-bar-variant(@progress-bar-danger-bg);\n}\n","// stylelint-disable value-no-vendor-prefix, selector-max-id\n\n#gradient {\n\n  // Horizontal gradient, from left to right\n  //\n  // Creates two color stops, start and end, by specifying a color and position for each color stop.\n  // Color stops are not available in IE9 and below.\n  .horizontal(@start-color: #555; @end-color: #333; @start-percent: 0%; @end-percent: 100%) {\n    background-image: -webkit-linear-gradient(left, @start-color @start-percent, @end-color @end-percent); // Safari 5.1-6, Chrome 10+\n    background-image: -o-linear-gradient(left, @start-color @start-percent, @end-color @end-percent); // Opera 12\n    background-image: linear-gradient(to right, @start-color @start-percent, @end-color @end-percent); // Standard, IE10, Firefox 16+, Opera 12.10+, Safari 7+, Chrome 26+\n    filter: e(%(\"progid:DXImageTransform.Microsoft.gradient(startColorstr='%d', endColorstr='%d', GradientType=1)\", argb(@start-color), argb(@end-color))); // IE9 and down\n    background-repeat: repeat-x;\n  }\n\n  // Vertical gradient, from top to bottom\n  //\n  // Creates two color stops, start and end, by specifying a color and position for each color stop.\n  // Color stops are not available in IE9 and below.\n  .vertical(@start-color: #555; @end-color: #333; @start-percent: 0%; @end-percent: 100%) {\n    background-image: -webkit-linear-gradient(top, @start-color @start-percent, @end-color @end-percent);  // Safari 5.1-6, Chrome 10+\n    background-image: -o-linear-gradient(top, @start-color @start-percent, @end-color @end-percent);  // Opera 12\n    background-image: linear-gradient(to bottom, @start-color @start-percent, @end-color @end-percent); // Standard, IE10, Firefox 16+, Opera 12.10+, Safari 7+, Chrome 26+\n    filter: e(%(\"progid:DXImageTransform.Microsoft.gradient(startColorstr='%d', endColorstr='%d', GradientType=0)\", argb(@start-color), argb(@end-color))); // IE9 and down\n    background-repeat: repeat-x;\n  }\n\n  .directional(@start-color: #555; @end-color: #333; @deg: 45deg) {\n    background-image: -webkit-linear-gradient(@deg, @start-color, @end-color); // Safari 5.1-6, Chrome 10+\n    background-image: -o-linear-gradient(@deg, @start-color, @end-color); // Opera 12\n    background-image: linear-gradient(@deg, @start-color, @end-color); // Standard, IE10, Firefox 16+, Opera 12.10+, Safari 7+, Chrome 26+\n    background-repeat: repeat-x;\n  }\n  .horizontal-three-colors(@start-color: #00b3ee; @mid-color: #7a43b6; @color-stop: 50%; @end-color: #c3325f) {\n    background-image: -webkit-linear-gradient(left, @start-color, @mid-color @color-stop, @end-color);\n    background-image: -o-linear-gradient(left, @start-color, @mid-color @color-stop, @end-color);\n    background-image: linear-gradient(to right, @start-color, @mid-color @color-stop, @end-color);\n    filter: e(%(\"progid:DXImageTransform.Microsoft.gradient(startColorstr='%d', endColorstr='%d', GradientType=1)\", argb(@start-color), argb(@end-color))); // IE9 and down, gets no color-stop at all for proper fallback\n    background-repeat: no-repeat;\n  }\n  .vertical-three-colors(@start-color: #00b3ee; @mid-color: #7a43b6; @color-stop: 50%; @end-color: #c3325f) {\n    background-image: -webkit-linear-gradient(@start-color, @mid-color @color-stop, @end-color);\n    background-image: -o-linear-gradient(@start-color, @mid-color @color-stop, @end-color);\n    background-image: linear-gradient(@start-color, @mid-color @color-stop, @end-color);\n    filter: e(%(\"progid:DXImageTransform.Microsoft.gradient(startColorstr='%d', endColorstr='%d', GradientType=0)\", argb(@start-color), argb(@end-color))); // IE9 and down, gets no color-stop at all for proper fallback\n    background-repeat: no-repeat;\n  }\n  .radial(@inner-color: #555; @outer-color: #333) {\n    background-image: -webkit-radial-gradient(circle, @inner-color, @outer-color);\n    background-image: radial-gradient(circle, @inner-color, @outer-color);\n    background-repeat: no-repeat;\n  }\n  .striped(@color: rgba(255, 255, 255, .15); @angle: 45deg) {\n    background-image: -webkit-linear-gradient(@angle, @color 25%, transparent 25%, transparent 50%, @color 50%, @color 75%, transparent 75%, transparent);\n    background-image: -o-linear-gradient(@angle, @color 25%, transparent 25%, transparent 50%, @color 50%, @color 75%, transparent 75%, transparent);\n    background-image: linear-gradient(@angle, @color 25%, transparent 25%, transparent 50%, @color 50%, @color 75%, transparent 75%, transparent);\n  }\n}\n","// Progress bars\n\n.progress-bar-variant(@color) {\n  background-color: @color;\n\n  // Deprecated parent class requirement as of v3.2.0\n  .progress-striped & {\n    #gradient > .striped();\n  }\n}\n",".media {\n  // Proper spacing between instances of .media\n  margin-top: 15px;\n\n  &:first-child {\n    margin-top: 0;\n  }\n}\n\n.media,\n.media-body {\n  overflow: hidden;\n  zoom: 1;\n}\n\n.media-body {\n  width: 10000px;\n}\n\n.media-object {\n  display: block;\n\n  // Fix collapse in webkit from max-width: 100% and display: table-cell.\n  &.img-thumbnail {\n    max-width: none;\n  }\n}\n\n.media-right,\n.media > .pull-right {\n  padding-left: 10px;\n}\n\n.media-left,\n.media > .pull-left {\n  padding-right: 10px;\n}\n\n.media-left,\n.media-right,\n.media-body {\n  display: table-cell;\n  vertical-align: top;\n}\n\n.media-middle {\n  vertical-align: middle;\n}\n\n.media-bottom {\n  vertical-align: bottom;\n}\n\n// Reset margins on headings for tighter default spacing\n.media-heading {\n  margin-top: 0;\n  margin-bottom: 5px;\n}\n\n// Media list variation\n//\n// Undo default ul/ol styles\n.media-list {\n  padding-left: 0;\n  list-style: none;\n}\n","// stylelint-disable selector-no-qualifying-type\n\n//\n// List groups\n// --------------------------------------------------\n\n\n// Base class\n//\n// Easily usable on <ul>, <ol>, or <div>.\n\n.list-group {\n  // No need to set list-style: none; since .list-group-item is block level\n  padding-left: 0; // reset padding because ul and ol\n  margin-bottom: 20px;\n}\n\n\n// Individual list items\n//\n// Use on `li`s or `div`s within the `.list-group` parent.\n\n.list-group-item {\n  position: relative;\n  display: block;\n  padding: 10px 15px;\n  // Place the border on the list items and negative margin up for better styling\n  margin-bottom: -1px;\n  background-color: @list-group-bg;\n  border: 1px solid @list-group-border;\n\n  // Round the first and last items\n  &:first-child {\n    .border-top-radius(@list-group-border-radius);\n  }\n  &:last-child {\n    margin-bottom: 0;\n    .border-bottom-radius(@list-group-border-radius);\n  }\n\n  // Disabled state\n  &.disabled,\n  &.disabled:hover,\n  &.disabled:focus {\n    color: @list-group-disabled-color;\n    cursor: @cursor-disabled;\n    background-color: @list-group-disabled-bg;\n\n    // Force color to inherit for custom content\n    .list-group-item-heading {\n      color: inherit;\n    }\n    .list-group-item-text {\n      color: @list-group-disabled-text-color;\n    }\n  }\n\n  // Active class on item itself, not parent\n  &.active,\n  &.active:hover,\n  &.active:focus {\n    z-index: 2; // Place active items above their siblings for proper border styling\n    color: @list-group-active-color;\n    background-color: @list-group-active-bg;\n    border-color: @list-group-active-border;\n\n    // Force color to inherit for custom content\n    .list-group-item-heading,\n    .list-group-item-heading > small,\n    .list-group-item-heading > .small {\n      color: inherit;\n    }\n    .list-group-item-text {\n      color: @list-group-active-text-color;\n    }\n  }\n}\n\n\n// Interactive list items\n//\n// Use anchor or button elements instead of `li`s or `div`s to create interactive items.\n// Includes an extra `.active` modifier class for showing selected items.\n\na.list-group-item,\nbutton.list-group-item {\n  color: @list-group-link-color;\n\n  .list-group-item-heading {\n    color: @list-group-link-heading-color;\n  }\n\n  // Hover state\n  &:hover,\n  &:focus {\n    color: @list-group-link-hover-color;\n    text-decoration: none;\n    background-color: @list-group-hover-bg;\n  }\n}\n\nbutton.list-group-item {\n  width: 100%;\n  text-align: left;\n}\n\n\n// Contextual variants\n//\n// Add modifier classes to change text and background color on individual items.\n// Organizationally, this must come after the `:hover` states.\n\n.list-group-item-variant(success; @state-success-bg; @state-success-text);\n.list-group-item-variant(info; @state-info-bg; @state-info-text);\n.list-group-item-variant(warning; @state-warning-bg; @state-warning-text);\n.list-group-item-variant(danger; @state-danger-bg; @state-danger-text);\n\n\n// Custom content options\n//\n// Extra classes for creating well-formatted content within `.list-group-item`s.\n\n.list-group-item-heading {\n  margin-top: 0;\n  margin-bottom: 5px;\n}\n.list-group-item-text {\n  margin-bottom: 0;\n  line-height: 1.3;\n}\n","// List Groups\n\n.list-group-item-variant(@state; @background; @color) {\n  .list-group-item-@{state} {\n    color: @color;\n    background-color: @background;\n\n    a&,\n    button& {\n      color: @color;\n\n      .list-group-item-heading {\n        color: inherit;\n      }\n\n      &:hover,\n      &:focus {\n        color: @color;\n        background-color: darken(@background, 5%);\n      }\n      &.active,\n      &.active:hover,\n      &.active:focus {\n        color: #fff;\n        background-color: @color;\n        border-color: @color;\n      }\n    }\n  }\n}\n","// stylelint-disable selector-max-type, selector-max-compound-selectors, selector-max-combinators, no-duplicate-selectors\n\n//\n// Panels\n// --------------------------------------------------\n\n\n// Base class\n.panel {\n  margin-bottom: @line-height-computed;\n  background-color: @panel-bg;\n  border: 1px solid transparent;\n  border-radius: @panel-border-radius;\n  .box-shadow(0 1px 1px rgba(0, 0, 0, .05));\n}\n\n// Panel contents\n.panel-body {\n  padding: @panel-body-padding;\n  &:extend(.clearfix all);\n}\n\n// Optional heading\n.panel-heading {\n  padding: @panel-heading-padding;\n  border-bottom: 1px solid transparent;\n  .border-top-radius((@panel-border-radius - 1));\n\n  > .dropdown .dropdown-toggle {\n    color: inherit;\n  }\n}\n\n// Within heading, strip any `h*` tag of its default margins for spacing.\n.panel-title {\n  margin-top: 0;\n  margin-bottom: 0;\n  font-size: ceil((@font-size-base * 1.125));\n  color: inherit;\n\n  > a,\n  > small,\n  > .small,\n  > small > a,\n  > .small > a {\n    color: inherit;\n  }\n}\n\n// Optional footer (stays gray in every modifier class)\n.panel-footer {\n  padding: @panel-footer-padding;\n  background-color: @panel-footer-bg;\n  border-top: 1px solid @panel-inner-border;\n  .border-bottom-radius((@panel-border-radius - 1));\n}\n\n\n// List groups in panels\n//\n// By default, space out list group content from panel headings to account for\n// any kind of custom content between the two.\n\n.panel {\n  > .list-group,\n  > .panel-collapse > .list-group {\n    margin-bottom: 0;\n\n    .list-group-item {\n      border-width: 1px 0;\n      border-radius: 0;\n    }\n\n    // Add border top radius for first one\n    &:first-child {\n      .list-group-item:first-child {\n        border-top: 0;\n        .border-top-radius((@panel-border-radius - 1));\n      }\n    }\n\n    // Add border bottom radius for last one\n    &:last-child {\n      .list-group-item:last-child {\n        border-bottom: 0;\n        .border-bottom-radius((@panel-border-radius - 1));\n      }\n    }\n  }\n  > .panel-heading + .panel-collapse > .list-group {\n    .list-group-item:first-child {\n      .border-top-radius(0);\n    }\n  }\n}\n// Collapse space between when there's no additional content.\n.panel-heading + .list-group {\n  .list-group-item:first-child {\n    border-top-width: 0;\n  }\n}\n.list-group + .panel-footer {\n  border-top-width: 0;\n}\n\n// Tables in panels\n//\n// Place a non-bordered `.table` within a panel (not within a `.panel-body`) and\n// watch it go full width.\n\n.panel {\n  > .table,\n  > .table-responsive > .table,\n  > .panel-collapse > .table {\n    margin-bottom: 0;\n\n    caption {\n      padding-right: @panel-body-padding;\n      padding-left: @panel-body-padding;\n    }\n  }\n  // Add border top radius for first one\n  > .table:first-child,\n  > .table-responsive:first-child > .table:first-child {\n    .border-top-radius((@panel-border-radius - 1));\n\n    > thead:first-child,\n    > tbody:first-child {\n      > tr:first-child {\n        border-top-left-radius: (@panel-border-radius - 1);\n        border-top-right-radius: (@panel-border-radius - 1);\n\n        td:first-child,\n        th:first-child {\n          border-top-left-radius: (@panel-border-radius - 1);\n        }\n        td:last-child,\n        th:last-child {\n          border-top-right-radius: (@panel-border-radius - 1);\n        }\n      }\n    }\n  }\n  // Add border bottom radius for last one\n  > .table:last-child,\n  > .table-responsive:last-child > .table:last-child {\n    .border-bottom-radius((@panel-border-radius - 1));\n\n    > tbody:last-child,\n    > tfoot:last-child {\n      > tr:last-child {\n        border-bottom-right-radius: (@panel-border-radius - 1);\n        border-bottom-left-radius: (@panel-border-radius - 1);\n\n        td:first-child,\n        th:first-child {\n          border-bottom-left-radius: (@panel-border-radius - 1);\n        }\n        td:last-child,\n        th:last-child {\n          border-bottom-right-radius: (@panel-border-radius - 1);\n        }\n      }\n    }\n  }\n  > .panel-body + .table,\n  > .panel-body + .table-responsive,\n  > .table + .panel-body,\n  > .table-responsive + .panel-body {\n    border-top: 1px solid @table-border-color;\n  }\n  > .table > tbody:first-child > tr:first-child th,\n  > .table > tbody:first-child > tr:first-child td {\n    border-top: 0;\n  }\n  > .table-bordered,\n  > .table-responsive > .table-bordered {\n    border: 0;\n    > thead,\n    > tbody,\n    > tfoot {\n      > tr {\n        > th:first-child,\n        > td:first-child {\n          border-left: 0;\n        }\n        > th:last-child,\n        > td:last-child {\n          border-right: 0;\n        }\n      }\n    }\n    > thead,\n    > tbody {\n      > tr:first-child {\n        > td,\n        > th {\n          border-bottom: 0;\n        }\n      }\n    }\n    > tbody,\n    > tfoot {\n      > tr:last-child {\n        > td,\n        > th {\n          border-bottom: 0;\n        }\n      }\n    }\n  }\n  > .table-responsive {\n    margin-bottom: 0;\n    border: 0;\n  }\n}\n\n\n// Collapsible panels (aka, accordion)\n//\n// Wrap a series of panels in `.panel-group` to turn them into an accordion with\n// the help of our collapse JavaScript plugin.\n\n.panel-group {\n  margin-bottom: @line-height-computed;\n\n  // Tighten up margin so it's only between panels\n  .panel {\n    margin-bottom: 0;\n    border-radius: @panel-border-radius;\n\n    + .panel {\n      margin-top: 5px;\n    }\n  }\n\n  .panel-heading {\n    border-bottom: 0;\n\n    + .panel-collapse > .panel-body,\n    + .panel-collapse > .list-group {\n      border-top: 1px solid @panel-inner-border;\n    }\n  }\n\n  .panel-footer {\n    border-top: 0;\n    + .panel-collapse .panel-body {\n      border-bottom: 1px solid @panel-inner-border;\n    }\n  }\n}\n\n\n// Contextual variations\n.panel-default {\n  .panel-variant(@panel-default-border; @panel-default-text; @panel-default-heading-bg; @panel-default-border);\n}\n.panel-primary {\n  .panel-variant(@panel-primary-border; @panel-primary-text; @panel-primary-heading-bg; @panel-primary-border);\n}\n.panel-success {\n  .panel-variant(@panel-success-border; @panel-success-text; @panel-success-heading-bg; @panel-success-border);\n}\n.panel-info {\n  .panel-variant(@panel-info-border; @panel-info-text; @panel-info-heading-bg; @panel-info-border);\n}\n.panel-warning {\n  .panel-variant(@panel-warning-border; @panel-warning-text; @panel-warning-heading-bg; @panel-warning-border);\n}\n.panel-danger {\n  .panel-variant(@panel-danger-border; @panel-danger-text; @panel-danger-heading-bg; @panel-danger-border);\n}\n","// Panels\n\n.panel-variant(@border; @heading-text-color; @heading-bg-color; @heading-border) {\n  border-color: @border;\n\n  & > .panel-heading {\n    color: @heading-text-color;\n    background-color: @heading-bg-color;\n    border-color: @heading-border;\n\n    + .panel-collapse > .panel-body {\n      border-top-color: @border;\n    }\n    .badge {\n      color: @heading-bg-color;\n      background-color: @heading-text-color;\n    }\n  }\n  & > .panel-footer {\n    + .panel-collapse > .panel-body {\n      border-bottom-color: @border;\n    }\n  }\n}\n","// Embeds responsive\n//\n// Credit: Nicolas Gallagher and SUIT CSS.\n\n.embed-responsive {\n  position: relative;\n  display: block;\n  height: 0;\n  padding: 0;\n  overflow: hidden;\n\n  .embed-responsive-item,\n  iframe,\n  embed,\n  object,\n  video {\n    position: absolute;\n    top: 0;\n    bottom: 0;\n    left: 0;\n    width: 100%;\n    height: 100%;\n    border: 0;\n  }\n}\n\n// Modifier class for 16:9 aspect ratio\n.embed-responsive-16by9 {\n  padding-bottom: 56.25%;\n}\n\n// Modifier class for 4:3 aspect ratio\n.embed-responsive-4by3 {\n  padding-bottom: 75%;\n}\n","//\n// Wells\n// --------------------------------------------------\n\n\n// Base class\n.well {\n  min-height: 20px;\n  padding: 19px;\n  margin-bottom: 20px;\n  background-color: @well-bg;\n  border: 1px solid @well-border;\n  border-radius: @border-radius-base;\n  .box-shadow(inset 0 1px 1px rgba(0, 0, 0, .05));\n  blockquote {\n    border-color: #ddd;\n    border-color: rgba(0, 0, 0, .15);\n  }\n}\n\n// Sizes\n.well-lg {\n  padding: 24px;\n  border-radius: @border-radius-large;\n}\n.well-sm {\n  padding: 9px;\n  border-radius: @border-radius-small;\n}\n","// stylelint-disable property-no-vendor-prefix\n\n//\n// Close icons\n// --------------------------------------------------\n\n\n.close {\n  float: right;\n  font-size: (@font-size-base * 1.5);\n  font-weight: @close-font-weight;\n  line-height: 1;\n  color: @close-color;\n  text-shadow: @close-text-shadow;\n  .opacity(.2);\n\n  &:hover,\n  &:focus {\n    color: @close-color;\n    text-decoration: none;\n    cursor: pointer;\n    .opacity(.5);\n  }\n\n  // Additional properties for button version\n  // iOS requires the button element instead of an anchor tag.\n  // If you want the anchor version, it requires `href=\"#\"`.\n  // See https://developer.mozilla.org/en-US/docs/Web/Events/click#Safari_Mobile\n  button& {\n    padding: 0;\n    cursor: pointer;\n    background: transparent;\n    border: 0;\n    -webkit-appearance: none;\n    appearance: none;\n  }\n}\n","//\n// Modals\n// --------------------------------------------------\n\n// .modal-open      - body class for killing the scroll\n// .modal           - container to scroll within\n// .modal-dialog    - positioning shell for the actual modal\n// .modal-content   - actual modal w/ bg and corners and shit\n\n// Kill the scroll on the body\n.modal-open {\n  overflow: hidden;\n}\n\n// Container that the modal scrolls within\n.modal {\n  position: fixed;\n  top: 0;\n  right: 0;\n  bottom: 0;\n  left: 0;\n  z-index: @zindex-modal;\n  display: none;\n  overflow: hidden;\n  -webkit-overflow-scrolling: touch;\n\n  // Prevent Chrome on Windows from adding a focus outline. For details, see\n  // https://github.com/twbs/bootstrap/pull/10951.\n  outline: 0;\n\n  // When fading in the modal, animate it to slide down\n  &.fade .modal-dialog {\n    .translate(0, -25%);\n    .transition-transform(~\"0.3s ease-out\");\n  }\n  &.in .modal-dialog { .translate(0, 0); }\n}\n.modal-open .modal {\n  overflow-x: hidden;\n  overflow-y: auto;\n}\n\n// Shell div to position the modal with bottom padding\n.modal-dialog {\n  position: relative;\n  width: auto;\n  margin: 10px;\n}\n\n// Actual modal\n.modal-content {\n  position: relative;\n  background-color: @modal-content-bg;\n  background-clip: padding-box;\n  border: 1px solid @modal-content-fallback-border-color; //old browsers fallback (ie8 etc)\n  border: 1px solid @modal-content-border-color;\n  border-radius: @border-radius-large;\n  .box-shadow(0 3px 9px rgba(0, 0, 0, .5));\n  // Remove focus outline from opened modal\n  outline: 0;\n}\n\n// Modal background\n.modal-backdrop {\n  position: fixed;\n  top: 0;\n  right: 0;\n  bottom: 0;\n  left: 0;\n  z-index: @zindex-modal-background;\n  background-color: @modal-backdrop-bg;\n  // Fade for backdrop\n  &.fade { .opacity(0); }\n  &.in { .opacity(@modal-backdrop-opacity); }\n}\n\n// Modal header\n// Top section of the modal w/ title and dismiss\n.modal-header {\n  padding: @modal-title-padding;\n  border-bottom: 1px solid @modal-header-border-color;\n  &:extend(.clearfix all);\n}\n// Close icon\n.modal-header .close {\n  margin-top: -2px;\n}\n\n// Title text within header\n.modal-title {\n  margin: 0;\n  line-height: @modal-title-line-height;\n}\n\n// Modal body\n// Where all modal content resides (sibling of .modal-header and .modal-footer)\n.modal-body {\n  position: relative;\n  padding: @modal-inner-padding;\n}\n\n// Footer (for actions)\n.modal-footer {\n  padding: @modal-inner-padding;\n  text-align: right; // right align buttons\n  border-top: 1px solid @modal-footer-border-color;\n  &:extend(.clearfix all); // clear it in case folks use .pull-* classes on buttons\n\n  // Properly space out buttons\n  .btn + .btn {\n    margin-bottom: 0; // account for input[type=\"submit\"] which gets the bottom margin like all other inputs\n    margin-left: 5px;\n  }\n  // but override that for button groups\n  .btn-group .btn + .btn {\n    margin-left: -1px;\n  }\n  // and override it for block buttons as well\n  .btn-block + .btn-block {\n    margin-left: 0;\n  }\n}\n\n// Measure scrollbar width for padding body during modal show/hide\n.modal-scrollbar-measure {\n  position: absolute;\n  top: -9999px;\n  width: 50px;\n  height: 50px;\n  overflow: scroll;\n}\n\n// Scale up the modal\n@media (min-width: @screen-sm-min) {\n  // Automatically set modal's width for larger viewports\n  .modal-dialog {\n    width: @modal-md;\n    margin: 30px auto;\n  }\n  .modal-content {\n    .box-shadow(0 5px 15px rgba(0, 0, 0, .5));\n  }\n\n  // Modal sizes\n  .modal-sm { width: @modal-sm; }\n}\n\n@media (min-width: @screen-md-min) {\n  .modal-lg { width: @modal-lg; }\n}\n","//\n// Tooltips\n// --------------------------------------------------\n\n\n// Base class\n.tooltip {\n  position: absolute;\n  z-index: @zindex-tooltip;\n  display: block;\n  // Our parent element can be arbitrary since tooltips are by default inserted as a sibling of their target element.\n  // So reset our font and text properties to avoid inheriting weird values.\n  .reset-text();\n  font-size: @font-size-small;\n\n  .opacity(0);\n\n  &.in { .opacity(@tooltip-opacity); }\n  &.top {\n    padding: @tooltip-arrow-width 0;\n    margin-top: -3px;\n  }\n  &.right {\n    padding: 0 @tooltip-arrow-width;\n    margin-left: 3px;\n  }\n  &.bottom {\n    padding: @tooltip-arrow-width 0;\n    margin-top: 3px;\n  }\n  &.left {\n    padding: 0 @tooltip-arrow-width;\n    margin-left: -3px;\n  }\n\n  // Note: Deprecated .top-left, .top-right, .bottom-left, and .bottom-right as of v3.3.1\n  &.top .tooltip-arrow {\n    bottom: 0;\n    left: 50%;\n    margin-left: -@tooltip-arrow-width;\n    border-width: @tooltip-arrow-width @tooltip-arrow-width 0;\n    border-top-color: @tooltip-arrow-color;\n  }\n  &.top-left .tooltip-arrow {\n    right: @tooltip-arrow-width;\n    bottom: 0;\n    margin-bottom: -@tooltip-arrow-width;\n    border-width: @tooltip-arrow-width @tooltip-arrow-width 0;\n    border-top-color: @tooltip-arrow-color;\n  }\n  &.top-right .tooltip-arrow {\n    bottom: 0;\n    left: @tooltip-arrow-width;\n    margin-bottom: -@tooltip-arrow-width;\n    border-width: @tooltip-arrow-width @tooltip-arrow-width 0;\n    border-top-color: @tooltip-arrow-color;\n  }\n  &.right .tooltip-arrow {\n    top: 50%;\n    left: 0;\n    margin-top: -@tooltip-arrow-width;\n    border-width: @tooltip-arrow-width @tooltip-arrow-width @tooltip-arrow-width 0;\n    border-right-color: @tooltip-arrow-color;\n  }\n  &.left .tooltip-arrow {\n    top: 50%;\n    right: 0;\n    margin-top: -@tooltip-arrow-width;\n    border-width: @tooltip-arrow-width 0 @tooltip-arrow-width @tooltip-arrow-width;\n    border-left-color: @tooltip-arrow-color;\n  }\n  &.bottom .tooltip-arrow {\n    top: 0;\n    left: 50%;\n    margin-left: -@tooltip-arrow-width;\n    border-width: 0 @tooltip-arrow-width @tooltip-arrow-width;\n    border-bottom-color: @tooltip-arrow-color;\n  }\n  &.bottom-left .tooltip-arrow {\n    top: 0;\n    right: @tooltip-arrow-width;\n    margin-top: -@tooltip-arrow-width;\n    border-width: 0 @tooltip-arrow-width @tooltip-arrow-width;\n    border-bottom-color: @tooltip-arrow-color;\n  }\n  &.bottom-right .tooltip-arrow {\n    top: 0;\n    left: @tooltip-arrow-width;\n    margin-top: -@tooltip-arrow-width;\n    border-width: 0 @tooltip-arrow-width @tooltip-arrow-width;\n    border-bottom-color: @tooltip-arrow-color;\n  }\n}\n\n// Wrapper for the tooltip content\n.tooltip-inner {\n  max-width: @tooltip-max-width;\n  padding: 3px 8px;\n  color: @tooltip-color;\n  text-align: center;\n  background-color: @tooltip-bg;\n  border-radius: @border-radius-base;\n}\n\n// Arrows\n.tooltip-arrow {\n  position: absolute;\n  width: 0;\n  height: 0;\n  border-color: transparent;\n  border-style: solid;\n}\n",".reset-text() {\n  font-family: @font-family-base;\n  // We deliberately do NOT reset font-size.\n  font-style: normal;\n  font-weight: 400;\n  line-height: @line-height-base;\n  line-break: auto;\n  text-align: left; // Fallback for where `start` is not supported\n  text-align: start;\n  text-decoration: none;\n  text-shadow: none;\n  text-transform: none;\n  letter-spacing: normal;\n  word-break: normal;\n  word-spacing: normal;\n  word-wrap: normal;\n  white-space: normal;\n}\n","//\n// Popovers\n// --------------------------------------------------\n\n\n.popover {\n  position: absolute;\n  top: 0;\n  left: 0;\n  z-index: @zindex-popover;\n  display: none;\n  max-width: @popover-max-width;\n  padding: 1px;\n  // Our parent element can be arbitrary since popovers are by default inserted as a sibling of their target element.\n  // So reset our font and text properties to avoid inheriting weird values.\n  .reset-text();\n  font-size: @font-size-base;\n  background-color: @popover-bg;\n  background-clip: padding-box;\n  border: 1px solid @popover-fallback-border-color;\n  border: 1px solid @popover-border-color;\n  border-radius: @border-radius-large;\n  .box-shadow(0 5px 10px rgba(0, 0, 0, .2));\n\n  // Offset the popover to account for the popover arrow\n  &.top { margin-top: -@popover-arrow-width; }\n  &.right { margin-left: @popover-arrow-width; }\n  &.bottom { margin-top: @popover-arrow-width; }\n  &.left { margin-left: -@popover-arrow-width; }\n\n  // Arrows\n  // .arrow is outer, .arrow:after is inner\n  > .arrow {\n    border-width: @popover-arrow-outer-width;\n\n    &,\n    &:after {\n      position: absolute;\n      display: block;\n      width: 0;\n      height: 0;\n      border-color: transparent;\n      border-style: solid;\n    }\n\n    &:after {\n      content: \"\";\n      border-width: @popover-arrow-width;\n    }\n  }\n\n  &.top > .arrow {\n    bottom: -@popover-arrow-outer-width;\n    left: 50%;\n    margin-left: -@popover-arrow-outer-width;\n    border-top-color: @popover-arrow-outer-fallback-color; // IE8 fallback\n    border-top-color: @popover-arrow-outer-color;\n    border-bottom-width: 0;\n    &:after {\n      bottom: 1px;\n      margin-left: -@popover-arrow-width;\n      content: \" \";\n      border-top-color: @popover-arrow-color;\n      border-bottom-width: 0;\n    }\n  }\n  &.right > .arrow {\n    top: 50%;\n    left: -@popover-arrow-outer-width;\n    margin-top: -@popover-arrow-outer-width;\n    border-right-color: @popover-arrow-outer-fallback-color; // IE8 fallback\n    border-right-color: @popover-arrow-outer-color;\n    border-left-width: 0;\n    &:after {\n      bottom: -@popover-arrow-width;\n      left: 1px;\n      content: \" \";\n      border-right-color: @popover-arrow-color;\n      border-left-width: 0;\n    }\n  }\n  &.bottom > .arrow {\n    top: -@popover-arrow-outer-width;\n    left: 50%;\n    margin-left: -@popover-arrow-outer-width;\n    border-top-width: 0;\n    border-bottom-color: @popover-arrow-outer-fallback-color; // IE8 fallback\n    border-bottom-color: @popover-arrow-outer-color;\n    &:after {\n      top: 1px;\n      margin-left: -@popover-arrow-width;\n      content: \" \";\n      border-top-width: 0;\n      border-bottom-color: @popover-arrow-color;\n    }\n  }\n\n  &.left > .arrow {\n    top: 50%;\n    right: -@popover-arrow-outer-width;\n    margin-top: -@popover-arrow-outer-width;\n    border-right-width: 0;\n    border-left-color: @popover-arrow-outer-fallback-color; // IE8 fallback\n    border-left-color: @popover-arrow-outer-color;\n    &:after {\n      right: 1px;\n      bottom: -@popover-arrow-width;\n      content: \" \";\n      border-right-width: 0;\n      border-left-color: @popover-arrow-color;\n    }\n  }\n}\n\n.popover-title {\n  padding: 8px 14px;\n  margin: 0; // reset heading margin\n  font-size: @font-size-base;\n  background-color: @popover-title-bg;\n  border-bottom: 1px solid darken(@popover-title-bg, 5%);\n  border-radius: (@border-radius-large - 1) (@border-radius-large - 1) 0 0;\n}\n\n.popover-content {\n  padding: 9px 14px;\n}\n","// stylelint-disable media-feature-name-no-unknown\n\n//\n// Carousel\n// --------------------------------------------------\n\n\n// Wrapper for the slide container and indicators\n.carousel {\n  position: relative;\n}\n\n.carousel-inner {\n  position: relative;\n  width: 100%;\n  overflow: hidden;\n\n  > .item {\n    position: relative;\n    display: none;\n    .transition(.6s ease-in-out left);\n\n    // Account for jankitude on images\n    > img,\n    > a > img {\n      &:extend(.img-responsive);\n      line-height: 1;\n    }\n\n    // WebKit CSS3 transforms for supported devices\n    @media all and (transform-3d), (-webkit-transform-3d) {\n      .transition-transform(~\"0.6s ease-in-out\");\n      .backface-visibility(~\"hidden\");\n      .perspective(1000px);\n\n      &.next,\n      &.active.right {\n        .translate3d(100%, 0, 0);\n        left: 0;\n      }\n      &.prev,\n      &.active.left {\n        .translate3d(-100%, 0, 0);\n        left: 0;\n      }\n      &.next.left,\n      &.prev.right,\n      &.active {\n        .translate3d(0, 0, 0);\n        left: 0;\n      }\n    }\n  }\n\n  > .active,\n  > .next,\n  > .prev {\n    display: block;\n  }\n\n  > .active {\n    left: 0;\n  }\n\n  > .next,\n  > .prev {\n    position: absolute;\n    top: 0;\n    width: 100%;\n  }\n\n  > .next {\n    left: 100%;\n  }\n  > .prev {\n    left: -100%;\n  }\n  > .next.left,\n  > .prev.right {\n    left: 0;\n  }\n\n  > .active.left {\n    left: -100%;\n  }\n  > .active.right {\n    left: 100%;\n  }\n\n}\n\n// Left/right controls for nav\n// ---------------------------\n\n.carousel-control {\n  position: absolute;\n  top: 0;\n  bottom: 0;\n  left: 0;\n  width: @carousel-control-width;\n  font-size: @carousel-control-font-size;\n  color: @carousel-control-color;\n  text-align: center;\n  text-shadow: @carousel-text-shadow;\n  background-color: rgba(0, 0, 0, 0); // Fix IE9 click-thru bug\n  .opacity(@carousel-control-opacity);\n  // We can't have this transition here because WebKit cancels the carousel\n  // animation if you trip this while in the middle of another animation.\n\n  // Set gradients for backgrounds\n  &.left {\n    #gradient > .horizontal(@start-color: rgba(0, 0, 0, .5); @end-color: rgba(0, 0, 0, .0001));\n  }\n  &.right {\n    right: 0;\n    left: auto;\n    #gradient > .horizontal(@start-color: rgba(0, 0, 0, .0001); @end-color: rgba(0, 0, 0, .5));\n  }\n\n  // Hover/focus state\n  &:hover,\n  &:focus {\n    color: @carousel-control-color;\n    text-decoration: none;\n    outline: 0;\n    .opacity(.9);\n  }\n\n  // Toggles\n  .icon-prev,\n  .icon-next,\n  .glyphicon-chevron-left,\n  .glyphicon-chevron-right {\n    position: absolute;\n    top: 50%;\n    z-index: 5;\n    display: inline-block;\n    margin-top: -10px;\n  }\n  .icon-prev,\n  .glyphicon-chevron-left {\n    left: 50%;\n    margin-left: -10px;\n  }\n  .icon-next,\n  .glyphicon-chevron-right {\n    right: 50%;\n    margin-right: -10px;\n  }\n  .icon-prev,\n  .icon-next {\n    width: 20px;\n    height: 20px;\n    font-family: serif;\n    line-height: 1;\n  }\n\n  .icon-prev {\n    &:before {\n      content: \"\\2039\";// SINGLE LEFT-POINTING ANGLE QUOTATION MARK (U+2039)\n    }\n  }\n  .icon-next {\n    &:before {\n      content: \"\\203a\";// SINGLE RIGHT-POINTING ANGLE QUOTATION MARK (U+203A)\n    }\n  }\n}\n\n// Optional indicator pips\n//\n// Add an unordered list with the following class and add a list item for each\n// slide your carousel holds.\n\n.carousel-indicators {\n  position: absolute;\n  bottom: 10px;\n  left: 50%;\n  z-index: 15;\n  width: 60%;\n  padding-left: 0;\n  margin-left: -30%;\n  text-align: center;\n  list-style: none;\n\n  li {\n    display: inline-block;\n    width: 10px;\n    height: 10px;\n    margin: 1px;\n    text-indent: -999px;\n    cursor: pointer;\n    // IE8-9 hack for event handling\n    //\n    // Internet Explorer 8-9 does not support clicks on elements without a set\n    // `background-color`. We cannot use `filter` since that's not viewed as a\n    // background color by the browser. Thus, a hack is needed.\n    // See https://developer.mozilla.org/en-US/docs/Web/Events/click#Internet_Explorer\n    //\n    // For IE8, we set solid black as it doesn't support `rgba()`. For IE9, we\n    // set alpha transparency for the best results possible.\n    background-color: #000 \\9; // IE8\n    background-color: rgba(0, 0, 0, 0); // IE9\n\n    border: 1px solid @carousel-indicator-border-color;\n    border-radius: 10px;\n  }\n\n  .active {\n    width: 12px;\n    height: 12px;\n    margin: 0;\n    background-color: @carousel-indicator-active-bg;\n  }\n}\n\n// Optional captions\n// -----------------------------\n// Hidden by default for smaller viewports\n.carousel-caption {\n  position: absolute;\n  right: 15%;\n  bottom: 20px;\n  left: 15%;\n  z-index: 10;\n  padding-top: 20px;\n  padding-bottom: 20px;\n  color: @carousel-caption-color;\n  text-align: center;\n  text-shadow: @carousel-text-shadow;\n\n  & .btn {\n    text-shadow: none; // No shadow for button elements in carousel-caption\n  }\n}\n\n\n// Scale up controls for tablets and up\n@media screen and (min-width: @screen-sm-min) {\n\n  // Scale up the controls a smidge\n  .carousel-control {\n    .glyphicon-chevron-left,\n    .glyphicon-chevron-right,\n    .icon-prev,\n    .icon-next {\n      width: (@carousel-control-font-size * 1.5);\n      height: (@carousel-control-font-size * 1.5);\n      margin-top: (@carousel-control-font-size / -2);\n      font-size: (@carousel-control-font-size * 1.5);\n    }\n    .glyphicon-chevron-left,\n    .icon-prev {\n      margin-left: (@carousel-control-font-size / -2);\n    }\n    .glyphicon-chevron-right,\n    .icon-next {\n      margin-right: (@carousel-control-font-size / -2);\n    }\n  }\n\n  // Show and left align the captions\n  .carousel-caption {\n    right: 20%;\n    left: 20%;\n    padding-bottom: 30px;\n  }\n\n  // Move up the indicators\n  .carousel-indicators {\n    bottom: 20px;\n  }\n}\n","// Clearfix\n//\n// For modern browsers\n// 1. The space content is one way to avoid an Opera bug when the\n//    contenteditable attribute is included anywhere else in the document.\n//    Otherwise it causes space to appear at the top and bottom of elements\n//    that are clearfixed.\n// 2. The use of `table` rather than `block` is only necessary if using\n//    `:before` to contain the top-margins of child elements.\n//\n// Source: http://nicolasgallagher.com/micro-clearfix-hack/\n\n.clearfix() {\n  &:before,\n  &:after {\n    display: table; // 2\n    content: \" \"; // 1\n  }\n  &:after {\n    clear: both;\n  }\n}\n","// Center-align a block level element\n\n.center-block() {\n  display: block;\n  margin-right: auto;\n  margin-left: auto;\n}\n","// stylelint-disable font-family-name-quotes, font-family-no-missing-generic-family-keyword\n\n// CSS image replacement\n//\n// Heads up! v3 launched with only `.hide-text()`, but per our pattern for\n// mixins being reused as classes with the same name, this doesn't hold up. As\n// of v3.0.1 we have added `.text-hide()` and deprecated `.hide-text()`.\n//\n// Source: https://github.com/h5bp/html5-boilerplate/commit/aa0396eae757\n\n// Deprecated as of v3.0.1 (has been removed in v4)\n.hide-text() {\n  font: ~\"0/0\" a;\n  color: transparent;\n  text-shadow: none;\n  background-color: transparent;\n  border: 0;\n}\n\n// New mixin to use as of v3.0.1\n.text-hide() {\n  .hide-text();\n}\n","// stylelint-disable declaration-no-important, at-rule-no-vendor-prefix\n\n//\n// Responsive: Utility classes\n// --------------------------------------------------\n\n\n// IE10 in Windows (Phone) 8\n//\n// Support for responsive views via media queries is kind of borked in IE10, for\n// Surface/desktop in split view and for Windows Phone 8. This particular fix\n// must be accompanied by a snippet of JavaScript to sniff the user agent and\n// apply some conditional CSS to *only* the Surface/desktop Windows 8. Look at\n// our Getting Started page for more information on this bug.\n//\n// For more information, see the following:\n//\n// Issue: https://github.com/twbs/bootstrap/issues/10497\n// Docs: https://getbootstrap.com/docs/3.4/getting-started/#support-ie10-width\n// Source: https://timkadlec.com/2013/01/windows-phone-8-and-device-width/\n// Source: https://timkadlec.com/2012/10/ie10-snap-mode-and-responsive-design/\n\n@-ms-viewport {\n  width: device-width;\n}\n\n\n// Visibility utilities\n// Note: Deprecated .visible-xs, .visible-sm, .visible-md, and .visible-lg as of v3.2.0\n.visible-xs,\n.visible-sm,\n.visible-md,\n.visible-lg {\n  .responsive-invisibility();\n}\n\n.visible-xs-block,\n.visible-xs-inline,\n.visible-xs-inline-block,\n.visible-sm-block,\n.visible-sm-inline,\n.visible-sm-inline-block,\n.visible-md-block,\n.visible-md-inline,\n.visible-md-inline-block,\n.visible-lg-block,\n.visible-lg-inline,\n.visible-lg-inline-block {\n  display: none !important;\n}\n\n.visible-xs {\n  @media (max-width: @screen-xs-max) {\n    .responsive-visibility();\n  }\n}\n.visible-xs-block {\n  @media (max-width: @screen-xs-max) {\n    display: block !important;\n  }\n}\n.visible-xs-inline {\n  @media (max-width: @screen-xs-max) {\n    display: inline !important;\n  }\n}\n.visible-xs-inline-block {\n  @media (max-width: @screen-xs-max) {\n    display: inline-block !important;\n  }\n}\n\n.visible-sm {\n  @media (min-width: @screen-sm-min) and (max-width: @screen-sm-max) {\n    .responsive-visibility();\n  }\n}\n.visible-sm-block {\n  @media (min-width: @screen-sm-min) and (max-width: @screen-sm-max) {\n    display: block !important;\n  }\n}\n.visible-sm-inline {\n  @media (min-width: @screen-sm-min) and (max-width: @screen-sm-max) {\n    display: inline !important;\n  }\n}\n.visible-sm-inline-block {\n  @media (min-width: @screen-sm-min) and (max-width: @screen-sm-max) {\n    display: inline-block !important;\n  }\n}\n\n.visible-md {\n  @media (min-width: @screen-md-min) and (max-width: @screen-md-max) {\n    .responsive-visibility();\n  }\n}\n.visible-md-block {\n  @media (min-width: @screen-md-min) and (max-width: @screen-md-max) {\n    display: block !important;\n  }\n}\n.visible-md-inline {\n  @media (min-width: @screen-md-min) and (max-width: @screen-md-max) {\n    display: inline !important;\n  }\n}\n.visible-md-inline-block {\n  @media (min-width: @screen-md-min) and (max-width: @screen-md-max) {\n    display: inline-block !important;\n  }\n}\n\n.visible-lg {\n  @media (min-width: @screen-lg-min) {\n    .responsive-visibility();\n  }\n}\n.visible-lg-block {\n  @media (min-width: @screen-lg-min) {\n    display: block !important;\n  }\n}\n.visible-lg-inline {\n  @media (min-width: @screen-lg-min) {\n    display: inline !important;\n  }\n}\n.visible-lg-inline-block {\n  @media (min-width: @screen-lg-min) {\n    display: inline-block !important;\n  }\n}\n\n.hidden-xs {\n  @media (max-width: @screen-xs-max) {\n    .responsive-invisibility();\n  }\n}\n.hidden-sm {\n  @media (min-width: @screen-sm-min) and (max-width: @screen-sm-max) {\n    .responsive-invisibility();\n  }\n}\n.hidden-md {\n  @media (min-width: @screen-md-min) and (max-width: @screen-md-max) {\n    .responsive-invisibility();\n  }\n}\n.hidden-lg {\n  @media (min-width: @screen-lg-min) {\n    .responsive-invisibility();\n  }\n}\n\n\n// Print utilities\n//\n// Media queries are placed on the inside to be mixin-friendly.\n\n// Note: Deprecated .visible-print as of v3.2.0\n.visible-print {\n  .responsive-invisibility();\n\n  @media print {\n    .responsive-visibility();\n  }\n}\n.visible-print-block {\n  display: none !important;\n\n  @media print {\n    display: block !important;\n  }\n}\n.visible-print-inline {\n  display: none !important;\n\n  @media print {\n    display: inline !important;\n  }\n}\n.visible-print-inline-block {\n  display: none !important;\n\n  @media print {\n    display: inline-block !important;\n  }\n}\n\n.hidden-print {\n  @media print {\n    .responsive-invisibility();\n  }\n}\n","// stylelint-disable declaration-no-important\n\n.responsive-visibility() {\n  display: block !important;\n  table&  { display: table !important; }\n  tr&     { display: table-row !important; }\n  th&,\n  td&     { display: table-cell !important; }\n}\n\n.responsive-invisibility() {\n  display: none !important;\n}\n"]}
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_static/bootstrap-3.4.1/css/bootstrap.min.css b/trackpy/v0.6.2/_static/bootstrap-3.4.1/css/bootstrap.min.css
new file mode 100644
index 00000000..5b96335f
--- /dev/null
+++ b/trackpy/v0.6.2/_static/bootstrap-3.4.1/css/bootstrap.min.css
@@ -0,0 +1,6 @@
+/*!
+ * Bootstrap v3.4.1 (https://getbootstrap.com/)
+ * Copyright 2011-2019 Twitter, Inc.
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
+ *//*! normalize.css v3.0.3 | MIT License | github.com/necolas/normalize.css */html{font-family:sans-serif;-ms-text-size-adjust:100%;-webkit-text-size-adjust:100%}body{margin:0}article,aside,details,figcaption,figure,footer,header,hgroup,main,menu,nav,section,summary{display:block}audio,canvas,progress,video{display:inline-block;vertical-align:baseline}audio:not([controls]){display:none;height:0}[hidden],template{display:none}a{background-color:transparent}a:active,a:hover{outline:0}abbr[title]{border-bottom:none;text-decoration:underline;-webkit-text-decoration:underline dotted;-moz-text-decoration:underline dotted;text-decoration:underline dotted}b,strong{font-weight:700}dfn{font-style:italic}h1{font-size:2em;margin:.67em 0}mark{background:#ff0;color:#000}small{font-size:80%}sub,sup{font-size:75%;line-height:0;position:relative;vertical-align:baseline}sup{top:-.5em}sub{bottom:-.25em}img{border:0}svg:not(:root){overflow:hidden}figure{margin:1em 40px}hr{-webkit-box-sizing:content-box;-moz-box-sizing:content-box;box-sizing:content-box;height:0}pre{overflow:auto}code,kbd,pre,samp{font-family:monospace,monospace;font-size:1em}button,input,optgroup,select,textarea{color:inherit;font:inherit;margin:0}button{overflow:visible}button,select{text-transform:none}button,html input[type=button],input[type=reset],input[type=submit]{-webkit-appearance:button;cursor:pointer}button[disabled],html input[disabled]{cursor:default}button::-moz-focus-inner,input::-moz-focus-inner{border:0;padding:0}input{line-height:normal}input[type=checkbox],input[type=radio]{-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box;padding:0}input[type=number]::-webkit-inner-spin-button,input[type=number]::-webkit-outer-spin-button{height:auto}input[type=search]{-webkit-appearance:textfield;-webkit-box-sizing:content-box;-moz-box-sizing:content-box;box-sizing:content-box}input[type=search]::-webkit-search-cancel-button,input[type=search]::-webkit-search-decoration{-webkit-appearance:none}fieldset{border:1px solid silver;margin:0 2px;padding:.35em .625em .75em}legend{border:0;padding:0}textarea{overflow:auto}optgroup{font-weight:700}table{border-collapse:collapse;border-spacing:0}td,th{padding:0}/*! 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2em;\n  margin: 0.67em 0;\n}\nmark {\n  background: #ff0;\n  color: #000;\n}\nsmall {\n  font-size: 80%;\n}\nsub,\nsup {\n  font-size: 75%;\n  line-height: 0;\n  position: relative;\n  vertical-align: baseline;\n}\nsup {\n  top: -0.5em;\n}\nsub {\n  bottom: -0.25em;\n}\nimg {\n  border: 0;\n}\nsvg:not(:root) {\n  overflow: hidden;\n}\nfigure {\n  margin: 1em 40px;\n}\nhr {\n  box-sizing: content-box;\n  height: 0;\n}\npre {\n  overflow: auto;\n}\ncode,\nkbd,\npre,\nsamp {\n  font-family: monospace, monospace;\n  font-size: 1em;\n}\nbutton,\ninput,\noptgroup,\nselect,\ntextarea {\n  color: inherit;\n  font: inherit;\n  margin: 0;\n}\nbutton {\n  overflow: visible;\n}\nbutton,\nselect {\n  text-transform: none;\n}\nbutton,\nhtml input[type=\"button\"],\ninput[type=\"reset\"],\ninput[type=\"submit\"] {\n  -webkit-appearance: button;\n  cursor: pointer;\n}\nbutton[disabled],\nhtml input[disabled] {\n  cursor: default;\n}\nbutton::-moz-focus-inner,\ninput::-moz-focus-inner {\n  border: 0;\n  padding: 0;\n}\ninput {\n  line-height: normal;\n}\ninput[type=\"checkbox\"],\ninput[type=\"radio\"] {\n  box-sizing: border-box;\n  padding: 0;\n}\ninput[type=\"number\"]::-webkit-inner-spin-button,\ninput[type=\"number\"]::-webkit-outer-spin-button {\n  height: auto;\n}\ninput[type=\"search\"] {\n  -webkit-appearance: textfield;\n  box-sizing: content-box;\n}\ninput[type=\"search\"]::-webkit-search-cancel-button,\ninput[type=\"search\"]::-webkit-search-decoration {\n  -webkit-appearance: none;\n}\nfieldset {\n  border: 1px solid #c0c0c0;\n  margin: 0 2px;\n  padding: 0.35em 0.625em 0.75em;\n}\nlegend {\n  border: 0;\n  padding: 0;\n}\ntextarea {\n  overflow: auto;\n}\noptgroup {\n  font-weight: bold;\n}\ntable {\n  border-collapse: collapse;\n  border-spacing: 0;\n}\ntd,\nth {\n  padding: 0;\n}\n/*! Source: https://github.com/h5bp/html5-boilerplate/blob/master/src/css/main.css */\n@media print {\n  *,\n  *:before,\n  *:after {\n    color: #000 !important;\n    text-shadow: none !important;\n    background: transparent !important;\n    box-shadow: none !important;\n  }\n  a,\n  a:visited {\n    text-decoration: underline;\n  }\n  a[href]:after {\n    content: \" (\" attr(href) \")\";\n  }\n  abbr[title]:after {\n    content: \" (\" attr(title) \")\";\n  }\n  a[href^=\"#\"]:after,\n  a[href^=\"javascript:\"]:after {\n    content: \"\";\n  }\n  pre,\n  blockquote {\n    border: 1px solid #999;\n    page-break-inside: avoid;\n  }\n  thead {\n    display: table-header-group;\n  }\n  tr,\n  img {\n    page-break-inside: avoid;\n  }\n  img {\n    max-width: 100% !important;\n  }\n  p,\n  h2,\n  h3 {\n    orphans: 3;\n    widows: 3;\n  }\n  h2,\n  h3 {\n    page-break-after: avoid;\n  }\n  .navbar {\n    display: none;\n  }\n  .btn > .caret,\n  .dropup > .btn > .caret {\n    border-top-color: #000 !important;\n  }\n  .label {\n    border: 1px solid #000;\n  }\n  .table {\n    border-collapse: collapse !important;\n  }\n  .table td,\n  .table th {\n    background-color: #fff !important;\n  }\n  .table-bordered th,\n  .table-bordered td {\n    border: 1px solid #ddd !important;\n  }\n}\n@font-face {\n  font-family: \"Glyphicons Halflings\";\n  src: url(\"../fonts/glyphicons-halflings-regular.eot\");\n  src: url(\"../fonts/glyphicons-halflings-regular.eot?#iefix\") format(\"embedded-opentype\"), url(\"../fonts/glyphicons-halflings-regular.woff2\") format(\"woff2\"), url(\"../fonts/glyphicons-halflings-regular.woff\") format(\"woff\"), url(\"../fonts/glyphicons-halflings-regular.ttf\") format(\"truetype\"), url(\"../fonts/glyphicons-halflings-regular.svg#glyphicons_halflingsregular\") format(\"svg\");\n}\n.glyphicon {\n  position: relative;\n  top: 1px;\n  display: inline-block;\n  font-family: \"Glyphicons Halflings\";\n  font-style: normal;\n  font-weight: 400;\n  line-height: 1;\n  -webkit-font-smoothing: antialiased;\n  -moz-osx-font-smoothing: grayscale;\n}\n.glyphicon-asterisk:before {\n  content: \"\\002a\";\n}\n.glyphicon-plus:before {\n  content: \"\\002b\";\n}\n.glyphicon-euro:before,\n.glyphicon-eur:before {\n  content: \"\\20ac\";\n}\n.glyphicon-minus:before {\n  content: \"\\2212\";\n}\n.glyphicon-cloud:before {\n  content: \"\\2601\";\n}\n.glyphicon-envelope:before {\n  content: \"\\2709\";\n}\n.glyphicon-pencil:before {\n  content: \"\\270f\";\n}\n.glyphicon-glass:before {\n  content: \"\\e001\";\n}\n.glyphicon-music:before {\n  content: \"\\e002\";\n}\n.glyphicon-search:before {\n  content: \"\\e003\";\n}\n.glyphicon-heart:before {\n  content: \"\\e005\";\n}\n.glyphicon-star:before {\n  content: \"\\e006\";\n}\n.glyphicon-star-empty:before {\n  content: \"\\e007\";\n}\n.glyphicon-user:before {\n  content: \"\\e008\";\n}\n.glyphicon-film:before {\n  content: \"\\e009\";\n}\n.glyphicon-th-large:before {\n  content: \"\\e010\";\n}\n.glyphicon-th:before {\n  content: \"\\e011\";\n}\n.glyphicon-th-list:before {\n  content: \"\\e012\";\n}\n.glyphicon-ok:before {\n  content: \"\\e013\";\n}\n.glyphicon-remove:before {\n  content: \"\\e014\";\n}\n.glyphicon-zoom-in:before {\n  content: \"\\e015\";\n}\n.glyphicon-zoom-out:before {\n  content: \"\\e016\";\n}\n.glyphicon-off:before {\n  content: \"\\e017\";\n}\n.glyphicon-signal:before {\n  content: \"\\e018\";\n}\n.glyphicon-cog:before {\n  content: \"\\e019\";\n}\n.glyphicon-trash:before {\n  content: \"\\e020\";\n}\n.glyphicon-home:before {\n  content: \"\\e021\";\n}\n.glyphicon-file:before {\n  content: \"\\e022\";\n}\n.glyphicon-time:before {\n  content: \"\\e023\";\n}\n.glyphicon-road:before {\n  content: \"\\e024\";\n}\n.glyphicon-download-alt:before {\n  content: \"\\e025\";\n}\n.glyphicon-download:before {\n  content: \"\\e026\";\n}\n.glyphicon-upload:before {\n  content: \"\\e027\";\n}\n.glyphicon-inbox:before {\n  content: \"\\e028\";\n}\n.glyphicon-play-circle:before {\n  content: \"\\e029\";\n}\n.glyphicon-repeat:before {\n  content: \"\\e030\";\n}\n.glyphicon-refresh:before {\n  content: \"\\e031\";\n}\n.glyphicon-list-alt:before {\n  content: \"\\e032\";\n}\n.glyphicon-lock:before {\n  content: \"\\e033\";\n}\n.glyphicon-flag:before {\n  content: \"\\e034\";\n}\n.glyphicon-headphones:before {\n  content: \"\\e035\";\n}\n.glyphicon-volume-off:before {\n  content: \"\\e036\";\n}\n.glyphicon-volume-down:before {\n  content: \"\\e037\";\n}\n.glyphicon-volume-up:before {\n  content: \"\\e038\";\n}\n.glyphicon-qrcode:before {\n  content: \"\\e039\";\n}\n.glyphicon-barcode:before {\n  content: \"\\e040\";\n}\n.glyphicon-tag:before {\n  content: \"\\e041\";\n}\n.glyphicon-tags:before {\n  content: \"\\e042\";\n}\n.glyphicon-book:before {\n  content: \"\\e043\";\n}\n.glyphicon-bookmark:before {\n  content: \"\\e044\";\n}\n.glyphicon-print:before {\n  content: \"\\e045\";\n}\n.glyphicon-camera:before {\n  content: \"\\e046\";\n}\n.glyphicon-font:before {\n  content: \"\\e047\";\n}\n.glyphicon-bold:before {\n  content: \"\\e048\";\n}\n.glyphicon-italic:before {\n  content: \"\\e049\";\n}\n.glyphicon-text-height:before {\n  content: \"\\e050\";\n}\n.glyphicon-text-width:before {\n  content: \"\\e051\";\n}\n.glyphicon-align-left:before {\n  content: \"\\e052\";\n}\n.glyphicon-align-center:before {\n  content: \"\\e053\";\n}\n.glyphicon-align-right:before {\n  content: \"\\e054\";\n}\n.glyphicon-align-justify:before {\n  content: \"\\e055\";\n}\n.glyphicon-list:before {\n  content: \"\\e056\";\n}\n.glyphicon-indent-left:before {\n  content: \"\\e057\";\n}\n.glyphicon-indent-right:before {\n  content: \"\\e058\";\n}\n.glyphicon-facetime-video:before {\n  content: \"\\e059\";\n}\n.glyphicon-picture:before {\n  content: \"\\e060\";\n}\n.glyphicon-map-marker:before {\n  content: \"\\e062\";\n}\n.glyphicon-adjust:before {\n  content: \"\\e063\";\n}\n.glyphicon-tint:before {\n  content: \"\\e064\";\n}\n.glyphicon-edit:before {\n  content: \"\\e065\";\n}\n.glyphicon-share:before {\n  content: \"\\e066\";\n}\n.glyphicon-check:before {\n  content: \"\\e067\";\n}\n.glyphicon-move:before {\n  content: \"\\e068\";\n}\n.glyphicon-step-backward:before {\n  content: \"\\e069\";\n}\n.glyphicon-fast-backward:before {\n  content: \"\\e070\";\n}\n.glyphicon-backward:before {\n  content: \"\\e071\";\n}\n.glyphicon-play:before {\n  content: \"\\e072\";\n}\n.glyphicon-pause:before {\n  content: \"\\e073\";\n}\n.glyphicon-stop:before {\n  content: \"\\e074\";\n}\n.glyphicon-forward:before {\n  content: \"\\e075\";\n}\n.glyphicon-fast-forward:before {\n  content: \"\\e076\";\n}\n.glyphicon-step-forward:before {\n  content: \"\\e077\";\n}\n.glyphicon-eject:before {\n  content: \"\\e078\";\n}\n.glyphicon-chevron-left:before {\n  content: \"\\e079\";\n}\n.glyphicon-chevron-right:before {\n  content: \"\\e080\";\n}\n.glyphicon-plus-sign:before {\n  content: \"\\e081\";\n}\n.glyphicon-minus-sign:before {\n  content: \"\\e082\";\n}\n.glyphicon-remove-sign:before {\n  content: \"\\e083\";\n}\n.glyphicon-ok-sign:before {\n  content: \"\\e084\";\n}\n.glyphicon-question-sign:before {\n  content: \"\\e085\";\n}\n.glyphicon-info-sign:before {\n  content: \"\\e086\";\n}\n.glyphicon-screenshot:before {\n  content: \"\\e087\";\n}\n.glyphicon-remove-circle:before {\n  content: \"\\e088\";\n}\n.glyphicon-ok-circle:before {\n  content: \"\\e089\";\n}\n.glyphicon-ban-circle:before {\n  content: \"\\e090\";\n}\n.glyphicon-arrow-left:before {\n  content: \"\\e091\";\n}\n.glyphicon-arrow-right:before {\n  content: \"\\e092\";\n}\n.glyphicon-arrow-up:before {\n  content: \"\\e093\";\n}\n.glyphicon-arrow-down:before {\n  content: \"\\e094\";\n}\n.glyphicon-share-alt:before {\n  content: \"\\e095\";\n}\n.glyphicon-resize-full:before {\n  content: \"\\e096\";\n}\n.glyphicon-resize-small:before {\n  content: \"\\e097\";\n}\n.glyphicon-exclamation-sign:before {\n  content: \"\\e101\";\n}\n.glyphicon-gift:before {\n  content: \"\\e102\";\n}\n.glyphicon-leaf:before {\n  content: \"\\e103\";\n}\n.glyphicon-fire:before {\n  content: \"\\e104\";\n}\n.glyphicon-eye-open:before {\n  content: \"\\e105\";\n}\n.glyphicon-eye-close:before {\n  content: \"\\e106\";\n}\n.glyphicon-warning-sign:before {\n  content: \"\\e107\";\n}\n.glyphicon-plane:before {\n  content: \"\\e108\";\n}\n.glyphicon-calendar:before {\n  content: \"\\e109\";\n}\n.glyphicon-random:before {\n  content: \"\\e110\";\n}\n.glyphicon-comment:before {\n  content: \"\\e111\";\n}\n.glyphicon-magnet:before {\n  content: \"\\e112\";\n}\n.glyphicon-chevron-up:before {\n  content: \"\\e113\";\n}\n.glyphicon-chevron-down:before {\n  content: \"\\e114\";\n}\n.glyphicon-retweet:before {\n  content: \"\\e115\";\n}\n.glyphicon-shopping-cart:before {\n  content: \"\\e116\";\n}\n.glyphicon-folder-close:before {\n  content: \"\\e117\";\n}\n.glyphicon-folder-open:before {\n  content: \"\\e118\";\n}\n.glyphicon-resize-vertical:before {\n  content: \"\\e119\";\n}\n.glyphicon-resize-horizontal:before {\n  content: \"\\e120\";\n}\n.glyphicon-hdd:before {\n  content: \"\\e121\";\n}\n.glyphicon-bullhorn:before {\n  content: \"\\e122\";\n}\n.glyphicon-bell:before {\n  content: \"\\e123\";\n}\n.glyphicon-certificate:before {\n  content: \"\\e124\";\n}\n.glyphicon-thumbs-up:before {\n  content: \"\\e125\";\n}\n.glyphicon-thumbs-down:before {\n  content: \"\\e126\";\n}\n.glyphicon-hand-right:before {\n  content: \"\\e127\";\n}\n.glyphicon-hand-left:before {\n  content: \"\\e128\";\n}\n.glyphicon-hand-up:before {\n  content: \"\\e129\";\n}\n.glyphicon-hand-down:before {\n  content: \"\\e130\";\n}\n.glyphicon-circle-arrow-right:before {\n  content: \"\\e131\";\n}\n.glyphicon-circle-arrow-left:before {\n  content: \"\\e132\";\n}\n.glyphicon-circle-arrow-up:before {\n  content: \"\\e133\";\n}\n.glyphicon-circle-arrow-down:before {\n  content: \"\\e134\";\n}\n.glyphicon-globe:before {\n  content: \"\\e135\";\n}\n.glyphicon-wrench:before {\n  content: \"\\e136\";\n}\n.glyphicon-tasks:before {\n  content: \"\\e137\";\n}\n.glyphicon-filter:before {\n  content: \"\\e138\";\n}\n.glyphicon-briefcase:before {\n  content: \"\\e139\";\n}\n.glyphicon-fullscreen:before {\n  content: \"\\e140\";\n}\n.glyphicon-dashboard:before {\n  content: \"\\e141\";\n}\n.glyphicon-paperclip:before {\n  content: \"\\e142\";\n}\n.glyphicon-heart-empty:before {\n  content: \"\\e143\";\n}\n.glyphicon-link:before {\n  content: \"\\e144\";\n}\n.glyphicon-phone:before {\n  content: \"\\e145\";\n}\n.glyphicon-pushpin:before {\n  content: \"\\e146\";\n}\n.glyphicon-usd:before {\n  content: \"\\e148\";\n}\n.glyphicon-gbp:before {\n  content: \"\\e149\";\n}\n.glyphicon-sort:before {\n  content: \"\\e150\";\n}\n.glyphicon-sort-by-alphabet:before {\n  content: \"\\e151\";\n}\n.glyphicon-sort-by-alphabet-alt:before {\n  content: \"\\e152\";\n}\n.glyphicon-sort-by-order:before {\n  content: \"\\e153\";\n}\n.glyphicon-sort-by-order-alt:before {\n  content: \"\\e154\";\n}\n.glyphicon-sort-by-attributes:before {\n  content: \"\\e155\";\n}\n.glyphicon-sort-by-attributes-alt:before {\n  content: \"\\e156\";\n}\n.glyphicon-unchecked:before {\n  content: \"\\e157\";\n}\n.glyphicon-expand:before {\n  content: \"\\e158\";\n}\n.glyphicon-collapse-down:before {\n  content: \"\\e159\";\n}\n.glyphicon-collapse-up:before {\n  content: \"\\e160\";\n}\n.glyphicon-log-in:before {\n  content: \"\\e161\";\n}\n.glyphicon-flash:before {\n  content: \"\\e162\";\n}\n.glyphicon-log-out:before {\n  content: \"\\e163\";\n}\n.glyphicon-new-window:before {\n  content: \"\\e164\";\n}\n.glyphicon-record:before {\n  content: \"\\e165\";\n}\n.glyphicon-save:before {\n  content: \"\\e166\";\n}\n.glyphicon-open:before {\n  content: \"\\e167\";\n}\n.glyphicon-saved:before {\n  content: \"\\e168\";\n}\n.glyphicon-import:before {\n  content: \"\\e169\";\n}\n.glyphicon-export:before {\n  content: \"\\e170\";\n}\n.glyphicon-send:before {\n  content: \"\\e171\";\n}\n.glyphicon-floppy-disk:before {\n  content: \"\\e172\";\n}\n.glyphicon-floppy-saved:before {\n  content: \"\\e173\";\n}\n.glyphicon-floppy-remove:before {\n  content: \"\\e174\";\n}\n.glyphicon-floppy-save:before {\n  content: \"\\e175\";\n}\n.glyphicon-floppy-open:before {\n  content: \"\\e176\";\n}\n.glyphicon-credit-card:before {\n  content: \"\\e177\";\n}\n.glyphicon-transfer:before {\n  content: \"\\e178\";\n}\n.glyphicon-cutlery:before {\n  content: \"\\e179\";\n}\n.glyphicon-header:before {\n  content: \"\\e180\";\n}\n.glyphicon-compressed:before {\n  content: \"\\e181\";\n}\n.glyphicon-earphone:before {\n  content: \"\\e182\";\n}\n.glyphicon-phone-alt:before {\n  content: \"\\e183\";\n}\n.glyphicon-tower:before {\n  content: \"\\e184\";\n}\n.glyphicon-stats:before {\n  content: \"\\e185\";\n}\n.glyphicon-sd-video:before {\n  content: \"\\e186\";\n}\n.glyphicon-hd-video:before {\n  content: \"\\e187\";\n}\n.glyphicon-subtitles:before {\n  content: \"\\e188\";\n}\n.glyphicon-sound-stereo:before {\n  content: \"\\e189\";\n}\n.glyphicon-sound-dolby:before {\n  content: \"\\e190\";\n}\n.glyphicon-sound-5-1:before {\n  content: \"\\e191\";\n}\n.glyphicon-sound-6-1:before {\n  content: \"\\e192\";\n}\n.glyphicon-sound-7-1:before {\n  content: \"\\e193\";\n}\n.glyphicon-copyright-mark:before {\n  content: \"\\e194\";\n}\n.glyphicon-registration-mark:before {\n  content: \"\\e195\";\n}\n.glyphicon-cloud-download:before {\n  content: \"\\e197\";\n}\n.glyphicon-cloud-upload:before {\n  content: \"\\e198\";\n}\n.glyphicon-tree-conifer:before {\n  content: \"\\e199\";\n}\n.glyphicon-tree-deciduous:before {\n  content: \"\\e200\";\n}\n.glyphicon-cd:before {\n  content: \"\\e201\";\n}\n.glyphicon-save-file:before {\n  content: \"\\e202\";\n}\n.glyphicon-open-file:before {\n  content: \"\\e203\";\n}\n.glyphicon-level-up:before {\n  content: \"\\e204\";\n}\n.glyphicon-copy:before {\n  content: \"\\e205\";\n}\n.glyphicon-paste:before {\n  content: \"\\e206\";\n}\n.glyphicon-alert:before {\n  content: \"\\e209\";\n}\n.glyphicon-equalizer:before {\n  content: \"\\e210\";\n}\n.glyphicon-king:before {\n  content: \"\\e211\";\n}\n.glyphicon-queen:before {\n  content: \"\\e212\";\n}\n.glyphicon-pawn:before {\n  content: \"\\e213\";\n}\n.glyphicon-bishop:before {\n  content: \"\\e214\";\n}\n.glyphicon-knight:before {\n  content: \"\\e215\";\n}\n.glyphicon-baby-formula:before {\n  content: \"\\e216\";\n}\n.glyphicon-tent:before {\n  content: \"\\26fa\";\n}\n.glyphicon-blackboard:before {\n  content: \"\\e218\";\n}\n.glyphicon-bed:before {\n  content: \"\\e219\";\n}\n.glyphicon-apple:before {\n  content: \"\\f8ff\";\n}\n.glyphicon-erase:before {\n  content: \"\\e221\";\n}\n.glyphicon-hourglass:before {\n  content: \"\\231b\";\n}\n.glyphicon-lamp:before {\n  content: \"\\e223\";\n}\n.glyphicon-duplicate:before {\n  content: \"\\e224\";\n}\n.glyphicon-piggy-bank:before {\n  content: \"\\e225\";\n}\n.glyphicon-scissors:before {\n  content: \"\\e226\";\n}\n.glyphicon-bitcoin:before {\n  content: \"\\e227\";\n}\n.glyphicon-btc:before {\n  content: \"\\e227\";\n}\n.glyphicon-xbt:before {\n  content: \"\\e227\";\n}\n.glyphicon-yen:before {\n  content: \"\\00a5\";\n}\n.glyphicon-jpy:before {\n  content: \"\\00a5\";\n}\n.glyphicon-ruble:before {\n  content: \"\\20bd\";\n}\n.glyphicon-rub:before {\n  content: \"\\20bd\";\n}\n.glyphicon-scale:before {\n  content: \"\\e230\";\n}\n.glyphicon-ice-lolly:before {\n  content: \"\\e231\";\n}\n.glyphicon-ice-lolly-tasted:before {\n  content: \"\\e232\";\n}\n.glyphicon-education:before {\n  content: \"\\e233\";\n}\n.glyphicon-option-horizontal:before {\n  content: \"\\e234\";\n}\n.glyphicon-option-vertical:before {\n  content: \"\\e235\";\n}\n.glyphicon-menu-hamburger:before {\n  content: \"\\e236\";\n}\n.glyphicon-modal-window:before {\n  content: \"\\e237\";\n}\n.glyphicon-oil:before {\n  content: \"\\e238\";\n}\n.glyphicon-grain:before {\n  content: \"\\e239\";\n}\n.glyphicon-sunglasses:before {\n  content: \"\\e240\";\n}\n.glyphicon-text-size:before {\n  content: \"\\e241\";\n}\n.glyphicon-text-color:before {\n  content: \"\\e242\";\n}\n.glyphicon-text-background:before {\n  content: \"\\e243\";\n}\n.glyphicon-object-align-top:before {\n  content: \"\\e244\";\n}\n.glyphicon-object-align-bottom:before {\n  content: \"\\e245\";\n}\n.glyphicon-object-align-horizontal:before {\n  content: \"\\e246\";\n}\n.glyphicon-object-align-left:before {\n  content: \"\\e247\";\n}\n.glyphicon-object-align-vertical:before {\n  content: \"\\e248\";\n}\n.glyphicon-object-align-right:before {\n  content: \"\\e249\";\n}\n.glyphicon-triangle-right:before {\n  content: \"\\e250\";\n}\n.glyphicon-triangle-left:before {\n  content: \"\\e251\";\n}\n.glyphicon-triangle-bottom:before {\n  content: \"\\e252\";\n}\n.glyphicon-triangle-top:before {\n  content: \"\\e253\";\n}\n.glyphicon-console:before {\n  content: \"\\e254\";\n}\n.glyphicon-superscript:before {\n  content: \"\\e255\";\n}\n.glyphicon-subscript:before {\n  content: \"\\e256\";\n}\n.glyphicon-menu-left:before {\n  content: \"\\e257\";\n}\n.glyphicon-menu-right:before {\n  content: \"\\e258\";\n}\n.glyphicon-menu-down:before {\n  content: \"\\e259\";\n}\n.glyphicon-menu-up:before {\n  content: \"\\e260\";\n}\n* {\n  -webkit-box-sizing: border-box;\n  -moz-box-sizing: border-box;\n  box-sizing: border-box;\n}\n*:before,\n*:after {\n  -webkit-box-sizing: border-box;\n  -moz-box-sizing: border-box;\n  box-sizing: border-box;\n}\nhtml {\n  font-size: 10px;\n  -webkit-tap-highlight-color: rgba(0, 0, 0, 0);\n}\nbody {\n  font-family: \"Helvetica Neue\", Helvetica, Arial, sans-serif;\n  font-size: 14px;\n  line-height: 1.42857143;\n  color: #333333;\n  background-color: #fff;\n}\ninput,\nbutton,\nselect,\ntextarea {\n  font-family: inherit;\n  font-size: inherit;\n  line-height: inherit;\n}\na {\n  color: #337ab7;\n  text-decoration: none;\n}\na:hover,\na:focus {\n  color: #23527c;\n  text-decoration: underline;\n}\na:focus {\n  outline: 5px auto -webkit-focus-ring-color;\n  outline-offset: -2px;\n}\nfigure {\n  margin: 0;\n}\nimg {\n  vertical-align: middle;\n}\n.img-responsive,\n.thumbnail > img,\n.thumbnail a > img,\n.carousel-inner > .item > img,\n.carousel-inner > .item > a > img {\n  display: block;\n  max-width: 100%;\n  height: auto;\n}\n.img-rounded {\n  border-radius: 6px;\n}\n.img-thumbnail {\n  padding: 4px;\n  line-height: 1.42857143;\n  background-color: #fff;\n  border: 1px solid #ddd;\n  border-radius: 4px;\n  -webkit-transition: all 0.2s ease-in-out;\n  -o-transition: all 0.2s ease-in-out;\n  transition: all 0.2s ease-in-out;\n  display: inline-block;\n  max-width: 100%;\n  height: auto;\n}\n.img-circle {\n  border-radius: 50%;\n}\nhr {\n  margin-top: 20px;\n  margin-bottom: 20px;\n  border: 0;\n  border-top: 1px solid #eeeeee;\n}\n.sr-only {\n  position: absolute;\n  width: 1px;\n  height: 1px;\n  padding: 0;\n  margin: -1px;\n  overflow: hidden;\n  clip: rect(0, 0, 0, 0);\n  border: 0;\n}\n.sr-only-focusable:active,\n.sr-only-focusable:focus {\n  position: static;\n  width: auto;\n  height: auto;\n  margin: 0;\n  overflow: visible;\n  clip: auto;\n}\n[role=\"button\"] {\n  cursor: pointer;\n}\nh1,\nh2,\nh3,\nh4,\nh5,\nh6,\n.h1,\n.h2,\n.h3,\n.h4,\n.h5,\n.h6 {\n  font-family: inherit;\n  font-weight: 500;\n  line-height: 1.1;\n  color: inherit;\n}\nh1 small,\nh2 small,\nh3 small,\nh4 small,\nh5 small,\nh6 small,\n.h1 small,\n.h2 small,\n.h3 small,\n.h4 small,\n.h5 small,\n.h6 small,\nh1 .small,\nh2 .small,\nh3 .small,\nh4 .small,\nh5 .small,\nh6 .small,\n.h1 .small,\n.h2 .small,\n.h3 .small,\n.h4 .small,\n.h5 .small,\n.h6 .small {\n  font-weight: 400;\n  line-height: 1;\n  color: #777777;\n}\nh1,\n.h1,\nh2,\n.h2,\nh3,\n.h3 {\n  margin-top: 20px;\n  margin-bottom: 10px;\n}\nh1 small,\n.h1 small,\nh2 small,\n.h2 small,\nh3 small,\n.h3 small,\nh1 .small,\n.h1 .small,\nh2 .small,\n.h2 .small,\nh3 .small,\n.h3 .small {\n  font-size: 65%;\n}\nh4,\n.h4,\nh5,\n.h5,\nh6,\n.h6 {\n  margin-top: 10px;\n  margin-bottom: 10px;\n}\nh4 small,\n.h4 small,\nh5 small,\n.h5 small,\nh6 small,\n.h6 small,\nh4 .small,\n.h4 .small,\nh5 .small,\n.h5 .small,\nh6 .small,\n.h6 .small {\n  font-size: 75%;\n}\nh1,\n.h1 {\n  font-size: 36px;\n}\nh2,\n.h2 {\n  font-size: 30px;\n}\nh3,\n.h3 {\n  font-size: 24px;\n}\nh4,\n.h4 {\n  font-size: 18px;\n}\nh5,\n.h5 {\n  font-size: 14px;\n}\nh6,\n.h6 {\n  font-size: 12px;\n}\np {\n  margin: 0 0 10px;\n}\n.lead {\n  margin-bottom: 20px;\n  font-size: 16px;\n  font-weight: 300;\n  line-height: 1.4;\n}\n@media (min-width: 768px) {\n  .lead {\n    font-size: 21px;\n  }\n}\nsmall,\n.small {\n  font-size: 85%;\n}\nmark,\n.mark {\n  padding: 0.2em;\n  background-color: #fcf8e3;\n}\n.text-left {\n  text-align: left;\n}\n.text-right {\n  text-align: right;\n}\n.text-center {\n  text-align: center;\n}\n.text-justify {\n  text-align: justify;\n}\n.text-nowrap {\n  white-space: nowrap;\n}\n.text-lowercase {\n  text-transform: lowercase;\n}\n.text-uppercase {\n  text-transform: uppercase;\n}\n.text-capitalize {\n  text-transform: capitalize;\n}\n.text-muted {\n  color: #777777;\n}\n.text-primary {\n  color: #337ab7;\n}\na.text-primary:hover,\na.text-primary:focus {\n  color: #286090;\n}\n.text-success {\n  color: #3c763d;\n}\na.text-success:hover,\na.text-success:focus {\n  color: #2b542c;\n}\n.text-info {\n  color: #31708f;\n}\na.text-info:hover,\na.text-info:focus {\n  color: #245269;\n}\n.text-warning {\n  color: #8a6d3b;\n}\na.text-warning:hover,\na.text-warning:focus {\n  color: #66512c;\n}\n.text-danger {\n  color: #a94442;\n}\na.text-danger:hover,\na.text-danger:focus {\n  color: #843534;\n}\n.bg-primary {\n  color: #fff;\n  background-color: #337ab7;\n}\na.bg-primary:hover,\na.bg-primary:focus {\n  background-color: #286090;\n}\n.bg-success {\n  background-color: #dff0d8;\n}\na.bg-success:hover,\na.bg-success:focus {\n  background-color: #c1e2b3;\n}\n.bg-info {\n  background-color: #d9edf7;\n}\na.bg-info:hover,\na.bg-info:focus {\n  background-color: #afd9ee;\n}\n.bg-warning {\n  background-color: #fcf8e3;\n}\na.bg-warning:hover,\na.bg-warning:focus {\n  background-color: #f7ecb5;\n}\n.bg-danger {\n  background-color: #f2dede;\n}\na.bg-danger:hover,\na.bg-danger:focus {\n  background-color: #e4b9b9;\n}\n.page-header {\n  padding-bottom: 9px;\n  margin: 40px 0 20px;\n  border-bottom: 1px solid #eeeeee;\n}\nul,\nol {\n  margin-top: 0;\n  margin-bottom: 10px;\n}\nul ul,\nol ul,\nul ol,\nol ol {\n  margin-bottom: 0;\n}\n.list-unstyled {\n  padding-left: 0;\n  list-style: none;\n}\n.list-inline {\n  padding-left: 0;\n  list-style: none;\n  margin-left: -5px;\n}\n.list-inline > li {\n  display: inline-block;\n  padding-right: 5px;\n  padding-left: 5px;\n}\ndl {\n  margin-top: 0;\n  margin-bottom: 20px;\n}\ndt,\ndd {\n  line-height: 1.42857143;\n}\ndt {\n  font-weight: 700;\n}\ndd {\n  margin-left: 0;\n}\n@media (min-width: 768px) {\n  .dl-horizontal dt {\n    float: left;\n    width: 160px;\n    clear: left;\n    text-align: right;\n    overflow: hidden;\n    text-overflow: ellipsis;\n    white-space: nowrap;\n  }\n  .dl-horizontal dd {\n    margin-left: 180px;\n  }\n}\nabbr[title],\nabbr[data-original-title] {\n  cursor: help;\n}\n.initialism {\n  font-size: 90%;\n  text-transform: uppercase;\n}\nblockquote {\n  padding: 10px 20px;\n  margin: 0 0 20px;\n  font-size: 17.5px;\n  border-left: 5px solid #eeeeee;\n}\nblockquote p:last-child,\nblockquote ul:last-child,\nblockquote ol:last-child {\n  margin-bottom: 0;\n}\nblockquote footer,\nblockquote small,\nblockquote .small {\n  display: block;\n  font-size: 80%;\n  line-height: 1.42857143;\n  color: #777777;\n}\nblockquote footer:before,\nblockquote small:before,\nblockquote .small:before {\n  content: \"\\2014 \\00A0\";\n}\n.blockquote-reverse,\nblockquote.pull-right {\n  padding-right: 15px;\n  padding-left: 0;\n  text-align: right;\n  border-right: 5px solid #eeeeee;\n  border-left: 0;\n}\n.blockquote-reverse footer:before,\nblockquote.pull-right footer:before,\n.blockquote-reverse small:before,\nblockquote.pull-right small:before,\n.blockquote-reverse .small:before,\nblockquote.pull-right .small:before {\n  content: \"\";\n}\n.blockquote-reverse footer:after,\nblockquote.pull-right footer:after,\n.blockquote-reverse small:after,\nblockquote.pull-right small:after,\n.blockquote-reverse .small:after,\nblockquote.pull-right .small:after {\n  content: \"\\00A0 \\2014\";\n}\naddress {\n  margin-bottom: 20px;\n  font-style: normal;\n  line-height: 1.42857143;\n}\ncode,\nkbd,\npre,\nsamp {\n  font-family: Menlo, Monaco, Consolas, \"Courier New\", monospace;\n}\ncode {\n  padding: 2px 4px;\n  font-size: 90%;\n  color: #c7254e;\n  background-color: #f9f2f4;\n  border-radius: 4px;\n}\nkbd {\n  padding: 2px 4px;\n  font-size: 90%;\n  color: #fff;\n  background-color: #333;\n  border-radius: 3px;\n  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.25);\n}\nkbd kbd {\n  padding: 0;\n  font-size: 100%;\n  font-weight: 700;\n  box-shadow: none;\n}\npre {\n  display: block;\n  padding: 9.5px;\n  margin: 0 0 10px;\n  font-size: 13px;\n  line-height: 1.42857143;\n  color: #333333;\n  word-break: break-all;\n  word-wrap: break-word;\n  background-color: #f5f5f5;\n  border: 1px solid #ccc;\n  border-radius: 4px;\n}\npre code {\n  padding: 0;\n  font-size: inherit;\n  color: inherit;\n  white-space: pre-wrap;\n  background-color: transparent;\n  border-radius: 0;\n}\n.pre-scrollable {\n  max-height: 340px;\n  overflow-y: scroll;\n}\n.container {\n  padding-right: 15px;\n  padding-left: 15px;\n  margin-right: auto;\n  margin-left: auto;\n}\n@media (min-width: 768px) {\n  .container {\n    width: 750px;\n  }\n}\n@media (min-width: 992px) {\n  .container {\n    width: 970px;\n  }\n}\n@media (min-width: 1200px) {\n  .container {\n    width: 1170px;\n  }\n}\n.container-fluid {\n  padding-right: 15px;\n  padding-left: 15px;\n  margin-right: auto;\n  margin-left: auto;\n}\n.row {\n  margin-right: -15px;\n  margin-left: -15px;\n}\n.row-no-gutters {\n  margin-right: 0;\n  margin-left: 0;\n}\n.row-no-gutters [class*=\"col-\"] {\n  padding-right: 0;\n  padding-left: 0;\n}\n.col-xs-1,\n.col-sm-1,\n.col-md-1,\n.col-lg-1,\n.col-xs-2,\n.col-sm-2,\n.col-md-2,\n.col-lg-2,\n.col-xs-3,\n.col-sm-3,\n.col-md-3,\n.col-lg-3,\n.col-xs-4,\n.col-sm-4,\n.col-md-4,\n.col-lg-4,\n.col-xs-5,\n.col-sm-5,\n.col-md-5,\n.col-lg-5,\n.col-xs-6,\n.col-sm-6,\n.col-md-6,\n.col-lg-6,\n.col-xs-7,\n.col-sm-7,\n.col-md-7,\n.col-lg-7,\n.col-xs-8,\n.col-sm-8,\n.col-md-8,\n.col-lg-8,\n.col-xs-9,\n.col-sm-9,\n.col-md-9,\n.col-lg-9,\n.col-xs-10,\n.col-sm-10,\n.col-md-10,\n.col-lg-10,\n.col-xs-11,\n.col-sm-11,\n.col-md-11,\n.col-lg-11,\n.col-xs-12,\n.col-sm-12,\n.col-md-12,\n.col-lg-12 {\n  position: relative;\n  min-height: 1px;\n  padding-right: 15px;\n  padding-left: 15px;\n}\n.col-xs-1,\n.col-xs-2,\n.col-xs-3,\n.col-xs-4,\n.col-xs-5,\n.col-xs-6,\n.col-xs-7,\n.col-xs-8,\n.col-xs-9,\n.col-xs-10,\n.col-xs-11,\n.col-xs-12 {\n  float: left;\n}\n.col-xs-12 {\n  width: 100%;\n}\n.col-xs-11 {\n  width: 91.66666667%;\n}\n.col-xs-10 {\n  width: 83.33333333%;\n}\n.col-xs-9 {\n  width: 75%;\n}\n.col-xs-8 {\n  width: 66.66666667%;\n}\n.col-xs-7 {\n  width: 58.33333333%;\n}\n.col-xs-6 {\n  width: 50%;\n}\n.col-xs-5 {\n  width: 41.66666667%;\n}\n.col-xs-4 {\n  width: 33.33333333%;\n}\n.col-xs-3 {\n  width: 25%;\n}\n.col-xs-2 {\n  width: 16.66666667%;\n}\n.col-xs-1 {\n  width: 8.33333333%;\n}\n.col-xs-pull-12 {\n  right: 100%;\n}\n.col-xs-pull-11 {\n  right: 91.66666667%;\n}\n.col-xs-pull-10 {\n  right: 83.33333333%;\n}\n.col-xs-pull-9 {\n  right: 75%;\n}\n.col-xs-pull-8 {\n  right: 66.66666667%;\n}\n.col-xs-pull-7 {\n  right: 58.33333333%;\n}\n.col-xs-pull-6 {\n  right: 50%;\n}\n.col-xs-pull-5 {\n  right: 41.66666667%;\n}\n.col-xs-pull-4 {\n  right: 33.33333333%;\n}\n.col-xs-pull-3 {\n  right: 25%;\n}\n.col-xs-pull-2 {\n  right: 16.66666667%;\n}\n.col-xs-pull-1 {\n  right: 8.33333333%;\n}\n.col-xs-pull-0 {\n  right: auto;\n}\n.col-xs-push-12 {\n  left: 100%;\n}\n.col-xs-push-11 {\n  left: 91.66666667%;\n}\n.col-xs-push-10 {\n  left: 83.33333333%;\n}\n.col-xs-push-9 {\n  left: 75%;\n}\n.col-xs-push-8 {\n  left: 66.66666667%;\n}\n.col-xs-push-7 {\n  left: 58.33333333%;\n}\n.col-xs-push-6 {\n  left: 50%;\n}\n.col-xs-push-5 {\n  left: 41.66666667%;\n}\n.col-xs-push-4 {\n  left: 33.33333333%;\n}\n.col-xs-push-3 {\n  left: 25%;\n}\n.col-xs-push-2 {\n  left: 16.66666667%;\n}\n.col-xs-push-1 {\n  left: 8.33333333%;\n}\n.col-xs-push-0 {\n  left: auto;\n}\n.col-xs-offset-12 {\n  margin-left: 100%;\n}\n.col-xs-offset-11 {\n  margin-left: 91.66666667%;\n}\n.col-xs-offset-10 {\n  margin-left: 83.33333333%;\n}\n.col-xs-offset-9 {\n  margin-left: 75%;\n}\n.col-xs-offset-8 {\n  margin-left: 66.66666667%;\n}\n.col-xs-offset-7 {\n  margin-left: 58.33333333%;\n}\n.col-xs-offset-6 {\n  margin-left: 50%;\n}\n.col-xs-offset-5 {\n  margin-left: 41.66666667%;\n}\n.col-xs-offset-4 {\n  margin-left: 33.33333333%;\n}\n.col-xs-offset-3 {\n  margin-left: 25%;\n}\n.col-xs-offset-2 {\n  margin-left: 16.66666667%;\n}\n.col-xs-offset-1 {\n  margin-left: 8.33333333%;\n}\n.col-xs-offset-0 {\n  margin-left: 0%;\n}\n@media (min-width: 768px) {\n  .col-sm-1,\n  .col-sm-2,\n  .col-sm-3,\n  .col-sm-4,\n  .col-sm-5,\n  .col-sm-6,\n  .col-sm-7,\n  .col-sm-8,\n  .col-sm-9,\n  .col-sm-10,\n  .col-sm-11,\n  .col-sm-12 {\n    float: left;\n  }\n  .col-sm-12 {\n    width: 100%;\n  }\n  .col-sm-11 {\n    width: 91.66666667%;\n  }\n  .col-sm-10 {\n    width: 83.33333333%;\n  }\n  .col-sm-9 {\n    width: 75%;\n  }\n  .col-sm-8 {\n    width: 66.66666667%;\n  }\n  .col-sm-7 {\n    width: 58.33333333%;\n  }\n  .col-sm-6 {\n    width: 50%;\n  }\n  .col-sm-5 {\n    width: 41.66666667%;\n  }\n  .col-sm-4 {\n    width: 33.33333333%;\n  }\n  .col-sm-3 {\n    width: 25%;\n  }\n  .col-sm-2 {\n    width: 16.66666667%;\n  }\n  .col-sm-1 {\n    width: 8.33333333%;\n  }\n  .col-sm-pull-12 {\n    right: 100%;\n  }\n  .col-sm-pull-11 {\n    right: 91.66666667%;\n  }\n  .col-sm-pull-10 {\n    right: 83.33333333%;\n  }\n  .col-sm-pull-9 {\n    right: 75%;\n  }\n  .col-sm-pull-8 {\n    right: 66.66666667%;\n  }\n  .col-sm-pull-7 {\n    right: 58.33333333%;\n  }\n  .col-sm-pull-6 {\n    right: 50%;\n  }\n  .col-sm-pull-5 {\n    right: 41.66666667%;\n  }\n  .col-sm-pull-4 {\n    right: 33.33333333%;\n  }\n  .col-sm-pull-3 {\n    right: 25%;\n  }\n  .col-sm-pull-2 {\n    right: 16.66666667%;\n  }\n  .col-sm-pull-1 {\n    right: 8.33333333%;\n  }\n  .col-sm-pull-0 {\n    right: auto;\n  }\n  .col-sm-push-12 {\n    left: 100%;\n  }\n  .col-sm-push-11 {\n    left: 91.66666667%;\n  }\n  .col-sm-push-10 {\n    left: 83.33333333%;\n  }\n  .col-sm-push-9 {\n    left: 75%;\n  }\n  .col-sm-push-8 {\n    left: 66.66666667%;\n  }\n  .col-sm-push-7 {\n    left: 58.33333333%;\n  }\n  .col-sm-push-6 {\n    left: 50%;\n  }\n  .col-sm-push-5 {\n    left: 41.66666667%;\n  }\n  .col-sm-push-4 {\n    left: 33.33333333%;\n  }\n  .col-sm-push-3 {\n    left: 25%;\n  }\n  .col-sm-push-2 {\n    left: 16.66666667%;\n  }\n  .col-sm-push-1 {\n    left: 8.33333333%;\n  }\n  .col-sm-push-0 {\n    left: auto;\n  }\n  .col-sm-offset-12 {\n    margin-left: 100%;\n  }\n  .col-sm-offset-11 {\n    margin-left: 91.66666667%;\n  }\n  .col-sm-offset-10 {\n    margin-left: 83.33333333%;\n  }\n  .col-sm-offset-9 {\n    margin-left: 75%;\n  }\n  .col-sm-offset-8 {\n    margin-left: 66.66666667%;\n  }\n  .col-sm-offset-7 {\n    margin-left: 58.33333333%;\n  }\n  .col-sm-offset-6 {\n    margin-left: 50%;\n  }\n  .col-sm-offset-5 {\n    margin-left: 41.66666667%;\n  }\n  .col-sm-offset-4 {\n    margin-left: 33.33333333%;\n  }\n  .col-sm-offset-3 {\n    margin-left: 25%;\n  }\n  .col-sm-offset-2 {\n    margin-left: 16.66666667%;\n  }\n  .col-sm-offset-1 {\n    margin-left: 8.33333333%;\n  }\n  .col-sm-offset-0 {\n    margin-left: 0%;\n  }\n}\n@media (min-width: 992px) {\n  .col-md-1,\n  .col-md-2,\n  .col-md-3,\n  .col-md-4,\n  .col-md-5,\n  .col-md-6,\n  .col-md-7,\n  .col-md-8,\n  .col-md-9,\n  .col-md-10,\n  .col-md-11,\n  .col-md-12 {\n    float: left;\n  }\n  .col-md-12 {\n    width: 100%;\n  }\n  .col-md-11 {\n    width: 91.66666667%;\n  }\n  .col-md-10 {\n    width: 83.33333333%;\n  }\n  .col-md-9 {\n    width: 75%;\n  }\n  .col-md-8 {\n    width: 66.66666667%;\n  }\n  .col-md-7 {\n    width: 58.33333333%;\n  }\n  .col-md-6 {\n    width: 50%;\n  }\n  .col-md-5 {\n    width: 41.66666667%;\n  }\n  .col-md-4 {\n    width: 33.33333333%;\n  }\n  .col-md-3 {\n    width: 25%;\n  }\n  .col-md-2 {\n    width: 16.66666667%;\n  }\n  .col-md-1 {\n    width: 8.33333333%;\n  }\n  .col-md-pull-12 {\n    right: 100%;\n  }\n  .col-md-pull-11 {\n    right: 91.66666667%;\n  }\n  .col-md-pull-10 {\n    right: 83.33333333%;\n  }\n  .col-md-pull-9 {\n    right: 75%;\n  }\n  .col-md-pull-8 {\n    right: 66.66666667%;\n  }\n  .col-md-pull-7 {\n    right: 58.33333333%;\n  }\n  .col-md-pull-6 {\n    right: 50%;\n  }\n  .col-md-pull-5 {\n    right: 41.66666667%;\n  }\n  .col-md-pull-4 {\n    right: 33.33333333%;\n  }\n  .col-md-pull-3 {\n    right: 25%;\n  }\n  .col-md-pull-2 {\n    right: 16.66666667%;\n  }\n  .col-md-pull-1 {\n    right: 8.33333333%;\n  }\n  .col-md-pull-0 {\n    right: auto;\n  }\n  .col-md-push-12 {\n    left: 100%;\n  }\n  .col-md-push-11 {\n    left: 91.66666667%;\n  }\n  .col-md-push-10 {\n    left: 83.33333333%;\n  }\n  .col-md-push-9 {\n    left: 75%;\n  }\n  .col-md-push-8 {\n    left: 66.66666667%;\n  }\n  .col-md-push-7 {\n    left: 58.33333333%;\n  }\n  .col-md-push-6 {\n    left: 50%;\n  }\n  .col-md-push-5 {\n    left: 41.66666667%;\n  }\n  .col-md-push-4 {\n    left: 33.33333333%;\n  }\n  .col-md-push-3 {\n    left: 25%;\n  }\n  .col-md-push-2 {\n    left: 16.66666667%;\n  }\n  .col-md-push-1 {\n    left: 8.33333333%;\n  }\n  .col-md-push-0 {\n    left: auto;\n  }\n  .col-md-offset-12 {\n    margin-left: 100%;\n  }\n  .col-md-offset-11 {\n    margin-left: 91.66666667%;\n  }\n  .col-md-offset-10 {\n    margin-left: 83.33333333%;\n  }\n  .col-md-offset-9 {\n    margin-left: 75%;\n  }\n  .col-md-offset-8 {\n    margin-left: 66.66666667%;\n  }\n  .col-md-offset-7 {\n    margin-left: 58.33333333%;\n  }\n  .col-md-offset-6 {\n    margin-left: 50%;\n  }\n  .col-md-offset-5 {\n    margin-left: 41.66666667%;\n  }\n  .col-md-offset-4 {\n    margin-left: 33.33333333%;\n  }\n  .col-md-offset-3 {\n    margin-left: 25%;\n  }\n  .col-md-offset-2 {\n    margin-left: 16.66666667%;\n  }\n  .col-md-offset-1 {\n    margin-left: 8.33333333%;\n  }\n  .col-md-offset-0 {\n    margin-left: 0%;\n  }\n}\n@media (min-width: 1200px) {\n  .col-lg-1,\n  .col-lg-2,\n  .col-lg-3,\n  .col-lg-4,\n  .col-lg-5,\n  .col-lg-6,\n  .col-lg-7,\n  .col-lg-8,\n  .col-lg-9,\n  .col-lg-10,\n  .col-lg-11,\n  .col-lg-12 {\n    float: left;\n  }\n  .col-lg-12 {\n    width: 100%;\n  }\n  .col-lg-11 {\n    width: 91.66666667%;\n  }\n  .col-lg-10 {\n    width: 83.33333333%;\n  }\n  .col-lg-9 {\n    width: 75%;\n  }\n  .col-lg-8 {\n    width: 66.66666667%;\n  }\n  .col-lg-7 {\n    width: 58.33333333%;\n  }\n  .col-lg-6 {\n    width: 50%;\n  }\n  .col-lg-5 {\n    width: 41.66666667%;\n  }\n  .col-lg-4 {\n    width: 33.33333333%;\n  }\n  .col-lg-3 {\n    width: 25%;\n  }\n  .col-lg-2 {\n    width: 16.66666667%;\n  }\n  .col-lg-1 {\n    width: 8.33333333%;\n  }\n  .col-lg-pull-12 {\n    right: 100%;\n  }\n  .col-lg-pull-11 {\n    right: 91.66666667%;\n  }\n  .col-lg-pull-10 {\n    right: 83.33333333%;\n  }\n  .col-lg-pull-9 {\n    right: 75%;\n  }\n  .col-lg-pull-8 {\n    right: 66.66666667%;\n  }\n  .col-lg-pull-7 {\n    right: 58.33333333%;\n  }\n  .col-lg-pull-6 {\n    right: 50%;\n  }\n  .col-lg-pull-5 {\n    right: 41.66666667%;\n  }\n  .col-lg-pull-4 {\n    right: 33.33333333%;\n  }\n  .col-lg-pull-3 {\n    right: 25%;\n  }\n  .col-lg-pull-2 {\n    right: 16.66666667%;\n  }\n  .col-lg-pull-1 {\n    right: 8.33333333%;\n  }\n  .col-lg-pull-0 {\n    right: auto;\n  }\n  .col-lg-push-12 {\n    left: 100%;\n  }\n  .col-lg-push-11 {\n    left: 91.66666667%;\n  }\n  .col-lg-push-10 {\n    left: 83.33333333%;\n  }\n  .col-lg-push-9 {\n    left: 75%;\n  }\n  .col-lg-push-8 {\n    left: 66.66666667%;\n  }\n  .col-lg-push-7 {\n    left: 58.33333333%;\n  }\n  .col-lg-push-6 {\n    left: 50%;\n  }\n  .col-lg-push-5 {\n    left: 41.66666667%;\n  }\n  .col-lg-push-4 {\n    left: 33.33333333%;\n  }\n  .col-lg-push-3 {\n    left: 25%;\n  }\n  .col-lg-push-2 {\n    left: 16.66666667%;\n  }\n  .col-lg-push-1 {\n    left: 8.33333333%;\n  }\n  .col-lg-push-0 {\n    left: auto;\n  }\n  .col-lg-offset-12 {\n    margin-left: 100%;\n  }\n  .col-lg-offset-11 {\n    margin-left: 91.66666667%;\n  }\n  .col-lg-offset-10 {\n    margin-left: 83.33333333%;\n  }\n  .col-lg-offset-9 {\n    margin-left: 75%;\n  }\n  .col-lg-offset-8 {\n    margin-left: 66.66666667%;\n  }\n  .col-lg-offset-7 {\n    margin-left: 58.33333333%;\n  }\n  .col-lg-offset-6 {\n    margin-left: 50%;\n  }\n  .col-lg-offset-5 {\n    margin-left: 41.66666667%;\n  }\n  .col-lg-offset-4 {\n    margin-left: 33.33333333%;\n  }\n  .col-lg-offset-3 {\n    margin-left: 25%;\n  }\n  .col-lg-offset-2 {\n    margin-left: 16.66666667%;\n  }\n  .col-lg-offset-1 {\n    margin-left: 8.33333333%;\n  }\n  .col-lg-offset-0 {\n    margin-left: 0%;\n  }\n}\ntable {\n  background-color: transparent;\n}\ntable col[class*=\"col-\"] {\n  position: static;\n  display: table-column;\n  float: none;\n}\ntable td[class*=\"col-\"],\ntable th[class*=\"col-\"] {\n  position: static;\n  display: table-cell;\n  float: none;\n}\ncaption {\n  padding-top: 8px;\n  padding-bottom: 8px;\n  color: #777777;\n  text-align: left;\n}\nth {\n  text-align: left;\n}\n.table {\n  width: 100%;\n  max-width: 100%;\n  margin-bottom: 20px;\n}\n.table > thead > tr > th,\n.table > tbody > tr > th,\n.table > tfoot > tr > th,\n.table > thead > tr > td,\n.table > tbody > tr > td,\n.table > tfoot > tr > td {\n  padding: 8px;\n  line-height: 1.42857143;\n  vertical-align: top;\n  border-top: 1px solid #ddd;\n}\n.table > thead > tr > th {\n  vertical-align: bottom;\n  border-bottom: 2px solid #ddd;\n}\n.table > caption + thead > tr:first-child > th,\n.table > colgroup + thead > tr:first-child > th,\n.table > thead:first-child > tr:first-child > th,\n.table > caption + thead > tr:first-child > td,\n.table > colgroup + thead > tr:first-child > td,\n.table > thead:first-child > tr:first-child > td {\n  border-top: 0;\n}\n.table > tbody + tbody {\n  border-top: 2px solid #ddd;\n}\n.table .table {\n  background-color: #fff;\n}\n.table-condensed > thead > tr > th,\n.table-condensed > tbody > tr > th,\n.table-condensed > tfoot > tr > th,\n.table-condensed > thead > tr > td,\n.table-condensed > tbody > tr > td,\n.table-condensed > tfoot > tr > td {\n  padding: 5px;\n}\n.table-bordered {\n  border: 1px solid #ddd;\n}\n.table-bordered > thead > tr > th,\n.table-bordered > tbody > tr > th,\n.table-bordered > tfoot > tr > th,\n.table-bordered > thead > tr > td,\n.table-bordered > tbody > tr > td,\n.table-bordered > tfoot > tr > td {\n  border: 1px solid #ddd;\n}\n.table-bordered > thead > tr > th,\n.table-bordered > thead > tr > td {\n  border-bottom-width: 2px;\n}\n.table-striped > tbody > tr:nth-of-type(odd) {\n  background-color: #f9f9f9;\n}\n.table-hover > tbody > tr:hover {\n  background-color: #f5f5f5;\n}\n.table > thead > tr > td.active,\n.table > tbody > tr > td.active,\n.table > tfoot > tr > td.active,\n.table > thead > tr > th.active,\n.table > tbody > tr > th.active,\n.table > tfoot > tr > th.active,\n.table > thead > tr.active > td,\n.table > tbody > tr.active > td,\n.table > tfoot > tr.active > td,\n.table > thead > tr.active > th,\n.table > tbody > tr.active > th,\n.table > tfoot > tr.active > th {\n  background-color: #f5f5f5;\n}\n.table-hover > tbody > tr > td.active:hover,\n.table-hover > tbody > tr > th.active:hover,\n.table-hover > tbody > tr.active:hover > td,\n.table-hover > tbody > tr:hover > .active,\n.table-hover > tbody > tr.active:hover > th {\n  background-color: #e8e8e8;\n}\n.table > thead > tr > td.success,\n.table > tbody > tr > td.success,\n.table > tfoot > tr > td.success,\n.table > thead > tr > th.success,\n.table > tbody > tr > th.success,\n.table > tfoot > tr > th.success,\n.table > thead > tr.success > td,\n.table > tbody > tr.success > td,\n.table > tfoot > tr.success > td,\n.table > thead > tr.success > th,\n.table > tbody > tr.success > th,\n.table > tfoot > tr.success > th {\n  background-color: #dff0d8;\n}\n.table-hover > tbody > tr > td.success:hover,\n.table-hover > tbody > tr > th.success:hover,\n.table-hover > tbody > tr.success:hover > td,\n.table-hover > tbody > tr:hover > .success,\n.table-hover > tbody > tr.success:hover > th {\n  background-color: #d0e9c6;\n}\n.table > thead > tr > td.info,\n.table > tbody > tr > td.info,\n.table > tfoot > tr > td.info,\n.table > thead > tr > th.info,\n.table > tbody > tr > th.info,\n.table > tfoot > tr > th.info,\n.table > thead > tr.info > td,\n.table > tbody > tr.info > td,\n.table > tfoot > tr.info > td,\n.table > thead > tr.info > th,\n.table > tbody > tr.info > th,\n.table > tfoot > tr.info > th {\n  background-color: #d9edf7;\n}\n.table-hover > tbody > tr > td.info:hover,\n.table-hover > tbody > tr > th.info:hover,\n.table-hover > tbody > tr.info:hover > td,\n.table-hover > tbody > tr:hover > .info,\n.table-hover > tbody > tr.info:hover > th {\n  background-color: #c4e3f3;\n}\n.table > thead > tr > td.warning,\n.table > tbody > tr > td.warning,\n.table > tfoot > tr > td.warning,\n.table > thead > tr > th.warning,\n.table > tbody > tr > th.warning,\n.table > tfoot > tr > th.warning,\n.table > thead > tr.warning > td,\n.table > tbody > tr.warning > td,\n.table > tfoot > tr.warning > td,\n.table > thead > tr.warning > th,\n.table > tbody > tr.warning > th,\n.table > tfoot > tr.warning > th {\n  background-color: #fcf8e3;\n}\n.table-hover > tbody > tr > td.warning:hover,\n.table-hover > tbody > tr > th.warning:hover,\n.table-hover > tbody > tr.warning:hover > td,\n.table-hover > tbody > tr:hover > .warning,\n.table-hover > tbody > tr.warning:hover > th {\n  background-color: #faf2cc;\n}\n.table > thead > tr > td.danger,\n.table > tbody > tr > td.danger,\n.table > tfoot > tr > td.danger,\n.table > thead > tr > th.danger,\n.table > tbody > tr > th.danger,\n.table > tfoot > tr > th.danger,\n.table > thead > tr.danger > td,\n.table > tbody > tr.danger > td,\n.table > tfoot > tr.danger > td,\n.table > thead > tr.danger > th,\n.table > tbody > tr.danger > th,\n.table > tfoot > tr.danger > th {\n  background-color: #f2dede;\n}\n.table-hover > tbody > tr > td.danger:hover,\n.table-hover > tbody > tr > th.danger:hover,\n.table-hover > tbody > tr.danger:hover > td,\n.table-hover > tbody > tr:hover > .danger,\n.table-hover > tbody > tr.danger:hover > th {\n  background-color: #ebcccc;\n}\n.table-responsive {\n  min-height: 0.01%;\n  overflow-x: auto;\n}\n@media screen and (max-width: 767px) {\n  .table-responsive {\n    width: 100%;\n    margin-bottom: 15px;\n    overflow-y: hidden;\n    -ms-overflow-style: -ms-autohiding-scrollbar;\n    border: 1px solid #ddd;\n  }\n  .table-responsive > .table {\n    margin-bottom: 0;\n  }\n  .table-responsive > .table > thead > tr > th,\n  .table-responsive > .table > tbody > tr > th,\n  .table-responsive > .table > tfoot > tr > th,\n  .table-responsive > .table > thead > tr > td,\n  .table-responsive > .table > tbody > tr > td,\n  .table-responsive > .table > tfoot > tr > td {\n    white-space: nowrap;\n  }\n  .table-responsive > .table-bordered {\n    border: 0;\n  }\n  .table-responsive > .table-bordered > thead > tr > th:first-child,\n  .table-responsive > .table-bordered > tbody > tr > th:first-child,\n  .table-responsive > .table-bordered > tfoot > tr > th:first-child,\n  .table-responsive > .table-bordered > thead > tr > td:first-child,\n  .table-responsive > .table-bordered > tbody > tr > td:first-child,\n  .table-responsive > .table-bordered > tfoot > tr > td:first-child {\n    border-left: 0;\n  }\n  .table-responsive > .table-bordered > thead > tr > th:last-child,\n  .table-responsive > .table-bordered > tbody > tr > th:last-child,\n  .table-responsive > .table-bordered > tfoot > tr > th:last-child,\n  .table-responsive > .table-bordered > thead > tr > td:last-child,\n  .table-responsive > .table-bordered > tbody > tr > td:last-child,\n  .table-responsive > .table-bordered > tfoot > tr > td:last-child {\n    border-right: 0;\n  }\n  .table-responsive > .table-bordered > tbody > tr:last-child > th,\n  .table-responsive > .table-bordered > tfoot > tr:last-child > th,\n  .table-responsive > .table-bordered > tbody > tr:last-child > td,\n  .table-responsive > .table-bordered > tfoot > tr:last-child > td {\n    border-bottom: 0;\n  }\n}\nfieldset {\n  min-width: 0;\n  padding: 0;\n  margin: 0;\n  border: 0;\n}\nlegend {\n  display: block;\n  width: 100%;\n  padding: 0;\n  margin-bottom: 20px;\n  font-size: 21px;\n  line-height: inherit;\n  color: #333333;\n  border: 0;\n  border-bottom: 1px solid #e5e5e5;\n}\nlabel {\n  display: inline-block;\n  max-width: 100%;\n  margin-bottom: 5px;\n  font-weight: 700;\n}\ninput[type=\"search\"] {\n  -webkit-box-sizing: border-box;\n  -moz-box-sizing: border-box;\n  box-sizing: border-box;\n  -webkit-appearance: none;\n  appearance: none;\n}\ninput[type=\"radio\"],\ninput[type=\"checkbox\"] {\n  margin: 4px 0 0;\n  margin-top: 1px \\9;\n  line-height: normal;\n}\ninput[type=\"radio\"][disabled],\ninput[type=\"checkbox\"][disabled],\ninput[type=\"radio\"].disabled,\ninput[type=\"checkbox\"].disabled,\nfieldset[disabled] input[type=\"radio\"],\nfieldset[disabled] input[type=\"checkbox\"] {\n  cursor: not-allowed;\n}\ninput[type=\"file\"] {\n  display: block;\n}\ninput[type=\"range\"] {\n  display: block;\n  width: 100%;\n}\nselect[multiple],\nselect[size] {\n  height: auto;\n}\ninput[type=\"file\"]:focus,\ninput[type=\"radio\"]:focus,\ninput[type=\"checkbox\"]:focus {\n  outline: 5px auto -webkit-focus-ring-color;\n  outline-offset: -2px;\n}\noutput {\n  display: block;\n  padding-top: 7px;\n  font-size: 14px;\n  line-height: 1.42857143;\n  color: #555555;\n}\n.form-control {\n  display: block;\n  width: 100%;\n  height: 34px;\n  padding: 6px 12px;\n  font-size: 14px;\n  line-height: 1.42857143;\n  color: #555555;\n  background-color: #fff;\n  background-image: none;\n  border: 1px solid #ccc;\n  border-radius: 4px;\n  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);\n  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);\n  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;\n  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;\n  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;\n}\n.form-control:focus {\n  border-color: #66afe9;\n  outline: 0;\n  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, .075), 0 0 8px rgba(102, 175, 233, 0.6);\n  box-shadow: inset 0 1px 1px rgba(0, 0, 0, .075), 0 0 8px rgba(102, 175, 233, 0.6);\n}\n.form-control::-moz-placeholder {\n  color: #999;\n  opacity: 1;\n}\n.form-control:-ms-input-placeholder {\n  color: #999;\n}\n.form-control::-webkit-input-placeholder {\n  color: #999;\n}\n.form-control::-ms-expand {\n  background-color: transparent;\n  border: 0;\n}\n.form-control[disabled],\n.form-control[readonly],\nfieldset[disabled] .form-control {\n  background-color: #eeeeee;\n  opacity: 1;\n}\n.form-control[disabled],\nfieldset[disabled] .form-control {\n  cursor: not-allowed;\n}\ntextarea.form-control {\n  height: auto;\n}\n@media screen and (-webkit-min-device-pixel-ratio: 0) {\n  input[type=\"date\"].form-control,\n  input[type=\"time\"].form-control,\n  input[type=\"datetime-local\"].form-control,\n  input[type=\"month\"].form-control {\n    line-height: 34px;\n  }\n  input[type=\"date\"].input-sm,\n  input[type=\"time\"].input-sm,\n  input[type=\"datetime-local\"].input-sm,\n  input[type=\"month\"].input-sm,\n  .input-group-sm input[type=\"date\"],\n  .input-group-sm input[type=\"time\"],\n  .input-group-sm input[type=\"datetime-local\"],\n  .input-group-sm input[type=\"month\"] {\n    line-height: 30px;\n  }\n  input[type=\"date\"].input-lg,\n  input[type=\"time\"].input-lg,\n  input[type=\"datetime-local\"].input-lg,\n  input[type=\"month\"].input-lg,\n  .input-group-lg input[type=\"date\"],\n  .input-group-lg input[type=\"time\"],\n  .input-group-lg input[type=\"datetime-local\"],\n  .input-group-lg input[type=\"month\"] {\n    line-height: 46px;\n  }\n}\n.form-group {\n  margin-bottom: 15px;\n}\n.radio,\n.checkbox {\n  position: relative;\n  display: block;\n  margin-top: 10px;\n  margin-bottom: 10px;\n}\n.radio.disabled label,\n.checkbox.disabled label,\nfieldset[disabled] .radio label,\nfieldset[disabled] .checkbox label {\n  cursor: not-allowed;\n}\n.radio label,\n.checkbox label {\n  min-height: 20px;\n  padding-left: 20px;\n  margin-bottom: 0;\n  font-weight: 400;\n  cursor: pointer;\n}\n.radio input[type=\"radio\"],\n.radio-inline input[type=\"radio\"],\n.checkbox input[type=\"checkbox\"],\n.checkbox-inline input[type=\"checkbox\"] {\n  position: absolute;\n  margin-top: 4px \\9;\n  margin-left: -20px;\n}\n.radio + .radio,\n.checkbox + .checkbox {\n  margin-top: -5px;\n}\n.radio-inline,\n.checkbox-inline {\n  position: relative;\n  display: inline-block;\n  padding-left: 20px;\n  margin-bottom: 0;\n  font-weight: 400;\n  vertical-align: middle;\n  cursor: pointer;\n}\n.radio-inline.disabled,\n.checkbox-inline.disabled,\nfieldset[disabled] .radio-inline,\nfieldset[disabled] .checkbox-inline {\n  cursor: not-allowed;\n}\n.radio-inline + .radio-inline,\n.checkbox-inline + .checkbox-inline {\n  margin-top: 0;\n  margin-left: 10px;\n}\n.form-control-static {\n  min-height: 34px;\n  padding-top: 7px;\n  padding-bottom: 7px;\n  margin-bottom: 0;\n}\n.form-control-static.input-lg,\n.form-control-static.input-sm {\n  padding-right: 0;\n  padding-left: 0;\n}\n.input-sm {\n  height: 30px;\n  padding: 5px 10px;\n  font-size: 12px;\n  line-height: 1.5;\n  border-radius: 3px;\n}\nselect.input-sm {\n  height: 30px;\n  line-height: 30px;\n}\ntextarea.input-sm,\nselect[multiple].input-sm {\n  height: auto;\n}\n.form-group-sm .form-control {\n  height: 30px;\n  padding: 5px 10px;\n  font-size: 12px;\n  line-height: 1.5;\n  border-radius: 3px;\n}\n.form-group-sm select.form-control {\n  height: 30px;\n  line-height: 30px;\n}\n.form-group-sm textarea.form-control,\n.form-group-sm select[multiple].form-control {\n  height: auto;\n}\n.form-group-sm .form-control-static {\n  height: 30px;\n  min-height: 32px;\n  padding: 6px 10px;\n  font-size: 12px;\n  line-height: 1.5;\n}\n.input-lg {\n  height: 46px;\n  padding: 10px 16px;\n  font-size: 18px;\n  line-height: 1.3333333;\n  border-radius: 6px;\n}\nselect.input-lg {\n  height: 46px;\n  line-height: 46px;\n}\ntextarea.input-lg,\nselect[multiple].input-lg {\n  height: auto;\n}\n.form-group-lg .form-control {\n  height: 46px;\n  padding: 10px 16px;\n  font-size: 18px;\n  line-height: 1.3333333;\n  border-radius: 6px;\n}\n.form-group-lg select.form-control {\n  height: 46px;\n  line-height: 46px;\n}\n.form-group-lg textarea.form-control,\n.form-group-lg select[multiple].form-control {\n  height: auto;\n}\n.form-group-lg .form-control-static {\n  height: 46px;\n  min-height: 38px;\n  padding: 11px 16px;\n  font-size: 18px;\n  line-height: 1.3333333;\n}\n.has-feedback {\n  position: relative;\n}\n.has-feedback .form-control {\n  padding-right: 42.5px;\n}\n.form-control-feedback {\n  position: absolute;\n  top: 0;\n  right: 0;\n  z-index: 2;\n  display: block;\n  width: 34px;\n  height: 34px;\n  line-height: 34px;\n  text-align: center;\n  pointer-events: none;\n}\n.input-lg + .form-control-feedback,\n.input-group-lg + .form-control-feedback,\n.form-group-lg .form-control + .form-control-feedback {\n  width: 46px;\n  height: 46px;\n  line-height: 46px;\n}\n.input-sm + .form-control-feedback,\n.input-group-sm + .form-control-feedback,\n.form-group-sm .form-control + .form-control-feedback {\n  width: 30px;\n  height: 30px;\n  line-height: 30px;\n}\n.has-success .help-block,\n.has-success .control-label,\n.has-success .radio,\n.has-success .checkbox,\n.has-success .radio-inline,\n.has-success .checkbox-inline,\n.has-success.radio label,\n.has-success.checkbox label,\n.has-success.radio-inline label,\n.has-success.checkbox-inline label {\n  color: #3c763d;\n}\n.has-success .form-control {\n  border-color: #3c763d;\n  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);\n  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);\n}\n.has-success .form-control:focus {\n  border-color: #2b542c;\n  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #67b168;\n  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #67b168;\n}\n.has-success .input-group-addon {\n  color: #3c763d;\n  background-color: #dff0d8;\n  border-color: #3c763d;\n}\n.has-success .form-control-feedback {\n  color: #3c763d;\n}\n.has-warning .help-block,\n.has-warning .control-label,\n.has-warning .radio,\n.has-warning .checkbox,\n.has-warning .radio-inline,\n.has-warning .checkbox-inline,\n.has-warning.radio label,\n.has-warning.checkbox label,\n.has-warning.radio-inline label,\n.has-warning.checkbox-inline label {\n  color: #8a6d3b;\n}\n.has-warning .form-control {\n  border-color: #8a6d3b;\n  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);\n  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);\n}\n.has-warning .form-control:focus {\n  border-color: #66512c;\n  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #c0a16b;\n  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #c0a16b;\n}\n.has-warning .input-group-addon {\n  color: #8a6d3b;\n  background-color: #fcf8e3;\n  border-color: #8a6d3b;\n}\n.has-warning .form-control-feedback {\n  color: #8a6d3b;\n}\n.has-error .help-block,\n.has-error .control-label,\n.has-error .radio,\n.has-error .checkbox,\n.has-error .radio-inline,\n.has-error .checkbox-inline,\n.has-error.radio label,\n.has-error.checkbox label,\n.has-error.radio-inline label,\n.has-error.checkbox-inline label {\n  color: #a94442;\n}\n.has-error .form-control {\n  border-color: #a94442;\n  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);\n  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);\n}\n.has-error .form-control:focus {\n  border-color: #843534;\n  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483;\n  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483;\n}\n.has-error .input-group-addon {\n  color: #a94442;\n  background-color: #f2dede;\n  border-color: #a94442;\n}\n.has-error .form-control-feedback {\n  color: #a94442;\n}\n.has-feedback label ~ .form-control-feedback {\n  top: 25px;\n}\n.has-feedback label.sr-only ~ .form-control-feedback {\n  top: 0;\n}\n.help-block {\n  display: block;\n  margin-top: 5px;\n  margin-bottom: 10px;\n  color: #737373;\n}\n@media (min-width: 768px) {\n  .form-inline .form-group {\n    display: inline-block;\n    margin-bottom: 0;\n    vertical-align: middle;\n  }\n  .form-inline .form-control {\n    display: inline-block;\n    width: auto;\n    vertical-align: middle;\n  }\n  .form-inline .form-control-static {\n    display: inline-block;\n  }\n  .form-inline .input-group {\n    display: inline-table;\n    vertical-align: middle;\n  }\n  .form-inline .input-group .input-group-addon,\n  .form-inline .input-group .input-group-btn,\n  .form-inline .input-group .form-control {\n    width: auto;\n  }\n  .form-inline .input-group > .form-control {\n    width: 100%;\n  }\n  .form-inline .control-label {\n    margin-bottom: 0;\n    vertical-align: middle;\n  }\n  .form-inline .radio,\n  .form-inline .checkbox {\n    display: inline-block;\n    margin-top: 0;\n    margin-bottom: 0;\n    vertical-align: middle;\n  }\n  .form-inline .radio label,\n  .form-inline .checkbox label {\n    padding-left: 0;\n  }\n  .form-inline .radio input[type=\"radio\"],\n  .form-inline .checkbox input[type=\"checkbox\"] {\n    position: relative;\n    margin-left: 0;\n  }\n  .form-inline .has-feedback .form-control-feedback {\n    top: 0;\n  }\n}\n.form-horizontal .radio,\n.form-horizontal .checkbox,\n.form-horizontal .radio-inline,\n.form-horizontal .checkbox-inline {\n  padding-top: 7px;\n  margin-top: 0;\n  margin-bottom: 0;\n}\n.form-horizontal .radio,\n.form-horizontal .checkbox {\n  min-height: 27px;\n}\n.form-horizontal .form-group {\n  margin-right: -15px;\n  margin-left: -15px;\n}\n@media (min-width: 768px) {\n  .form-horizontal .control-label {\n    padding-top: 7px;\n    margin-bottom: 0;\n    text-align: right;\n  }\n}\n.form-horizontal .has-feedback .form-control-feedback {\n  right: 15px;\n}\n@media (min-width: 768px) {\n  .form-horizontal .form-group-lg .control-label {\n    padding-top: 11px;\n    font-size: 18px;\n  }\n}\n@media (min-width: 768px) {\n  .form-horizontal .form-group-sm .control-label {\n    padding-top: 6px;\n    font-size: 12px;\n  }\n}\n.btn {\n  display: inline-block;\n  margin-bottom: 0;\n  font-weight: normal;\n  text-align: center;\n  white-space: nowrap;\n  vertical-align: middle;\n  touch-action: manipulation;\n  cursor: pointer;\n  background-image: none;\n  border: 1px solid transparent;\n  padding: 6px 12px;\n  font-size: 14px;\n  line-height: 1.42857143;\n  border-radius: 4px;\n  -webkit-user-select: none;\n  -moz-user-select: none;\n  -ms-user-select: none;\n  user-select: none;\n}\n.btn:focus,\n.btn:active:focus,\n.btn.active:focus,\n.btn.focus,\n.btn:active.focus,\n.btn.active.focus {\n  outline: 5px auto -webkit-focus-ring-color;\n  outline-offset: -2px;\n}\n.btn:hover,\n.btn:focus,\n.btn.focus {\n  color: #333;\n  text-decoration: none;\n}\n.btn:active,\n.btn.active {\n  background-image: none;\n  outline: 0;\n  -webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n}\n.btn.disabled,\n.btn[disabled],\nfieldset[disabled] .btn {\n  cursor: not-allowed;\n  filter: alpha(opacity=65);\n  opacity: 0.65;\n  -webkit-box-shadow: none;\n  box-shadow: none;\n}\na.btn.disabled,\nfieldset[disabled] a.btn {\n  pointer-events: none;\n}\n.btn-default {\n  color: #333;\n  background-color: #fff;\n  border-color: #ccc;\n}\n.btn-default:focus,\n.btn-default.focus {\n  color: #333;\n  background-color: #e6e6e6;\n  border-color: #8c8c8c;\n}\n.btn-default:hover {\n  color: #333;\n  background-color: #e6e6e6;\n  border-color: #adadad;\n}\n.btn-default:active,\n.btn-default.active,\n.open > .dropdown-toggle.btn-default {\n  color: #333;\n  background-color: #e6e6e6;\n  background-image: none;\n  border-color: #adadad;\n}\n.btn-default:active:hover,\n.btn-default.active:hover,\n.open > .dropdown-toggle.btn-default:hover,\n.btn-default:active:focus,\n.btn-default.active:focus,\n.open > .dropdown-toggle.btn-default:focus,\n.btn-default:active.focus,\n.btn-default.active.focus,\n.open > .dropdown-toggle.btn-default.focus {\n  color: #333;\n  background-color: #d4d4d4;\n  border-color: #8c8c8c;\n}\n.btn-default.disabled:hover,\n.btn-default[disabled]:hover,\nfieldset[disabled] .btn-default:hover,\n.btn-default.disabled:focus,\n.btn-default[disabled]:focus,\nfieldset[disabled] .btn-default:focus,\n.btn-default.disabled.focus,\n.btn-default[disabled].focus,\nfieldset[disabled] .btn-default.focus {\n  background-color: #fff;\n  border-color: #ccc;\n}\n.btn-default .badge {\n  color: #fff;\n  background-color: #333;\n}\n.btn-primary {\n  color: #fff;\n  background-color: #337ab7;\n  border-color: #2e6da4;\n}\n.btn-primary:focus,\n.btn-primary.focus {\n  color: #fff;\n  background-color: #286090;\n  border-color: #122b40;\n}\n.btn-primary:hover {\n  color: #fff;\n  background-color: #286090;\n  border-color: #204d74;\n}\n.btn-primary:active,\n.btn-primary.active,\n.open > .dropdown-toggle.btn-primary {\n  color: #fff;\n  background-color: #286090;\n  background-image: none;\n  border-color: #204d74;\n}\n.btn-primary:active:hover,\n.btn-primary.active:hover,\n.open > .dropdown-toggle.btn-primary:hover,\n.btn-primary:active:focus,\n.btn-primary.active:focus,\n.open > .dropdown-toggle.btn-primary:focus,\n.btn-primary:active.focus,\n.btn-primary.active.focus,\n.open > .dropdown-toggle.btn-primary.focus {\n  color: #fff;\n  background-color: #204d74;\n  border-color: #122b40;\n}\n.btn-primary.disabled:hover,\n.btn-primary[disabled]:hover,\nfieldset[disabled] .btn-primary:hover,\n.btn-primary.disabled:focus,\n.btn-primary[disabled]:focus,\nfieldset[disabled] .btn-primary:focus,\n.btn-primary.disabled.focus,\n.btn-primary[disabled].focus,\nfieldset[disabled] .btn-primary.focus {\n  background-color: #337ab7;\n  border-color: #2e6da4;\n}\n.btn-primary .badge {\n  color: #337ab7;\n  background-color: #fff;\n}\n.btn-success {\n  color: #fff;\n  background-color: #5cb85c;\n  border-color: #4cae4c;\n}\n.btn-success:focus,\n.btn-success.focus {\n  color: #fff;\n  background-color: #449d44;\n  border-color: #255625;\n}\n.btn-success:hover {\n  color: #fff;\n  background-color: #449d44;\n  border-color: #398439;\n}\n.btn-success:active,\n.btn-success.active,\n.open > .dropdown-toggle.btn-success {\n  color: #fff;\n  background-color: #449d44;\n  background-image: none;\n  border-color: #398439;\n}\n.btn-success:active:hover,\n.btn-success.active:hover,\n.open > .dropdown-toggle.btn-success:hover,\n.btn-success:active:focus,\n.btn-success.active:focus,\n.open > .dropdown-toggle.btn-success:focus,\n.btn-success:active.focus,\n.btn-success.active.focus,\n.open > .dropdown-toggle.btn-success.focus {\n  color: #fff;\n  background-color: #398439;\n  border-color: #255625;\n}\n.btn-success.disabled:hover,\n.btn-success[disabled]:hover,\nfieldset[disabled] .btn-success:hover,\n.btn-success.disabled:focus,\n.btn-success[disabled]:focus,\nfieldset[disabled] .btn-success:focus,\n.btn-success.disabled.focus,\n.btn-success[disabled].focus,\nfieldset[disabled] .btn-success.focus {\n  background-color: #5cb85c;\n  border-color: #4cae4c;\n}\n.btn-success .badge {\n  color: #5cb85c;\n  background-color: #fff;\n}\n.btn-info {\n  color: #fff;\n  background-color: #5bc0de;\n  border-color: #46b8da;\n}\n.btn-info:focus,\n.btn-info.focus {\n  color: #fff;\n  background-color: #31b0d5;\n  border-color: #1b6d85;\n}\n.btn-info:hover {\n  color: #fff;\n  background-color: #31b0d5;\n  border-color: #269abc;\n}\n.btn-info:active,\n.btn-info.active,\n.open > .dropdown-toggle.btn-info {\n  color: #fff;\n  background-color: #31b0d5;\n  background-image: none;\n  border-color: #269abc;\n}\n.btn-info:active:hover,\n.btn-info.active:hover,\n.open > .dropdown-toggle.btn-info:hover,\n.btn-info:active:focus,\n.btn-info.active:focus,\n.open > .dropdown-toggle.btn-info:focus,\n.btn-info:active.focus,\n.btn-info.active.focus,\n.open > .dropdown-toggle.btn-info.focus {\n  color: #fff;\n  background-color: #269abc;\n  border-color: #1b6d85;\n}\n.btn-info.disabled:hover,\n.btn-info[disabled]:hover,\nfieldset[disabled] .btn-info:hover,\n.btn-info.disabled:focus,\n.btn-info[disabled]:focus,\nfieldset[disabled] .btn-info:focus,\n.btn-info.disabled.focus,\n.btn-info[disabled].focus,\nfieldset[disabled] .btn-info.focus {\n  background-color: #5bc0de;\n  border-color: #46b8da;\n}\n.btn-info .badge {\n  color: #5bc0de;\n  background-color: #fff;\n}\n.btn-warning {\n  color: #fff;\n  background-color: #f0ad4e;\n  border-color: #eea236;\n}\n.btn-warning:focus,\n.btn-warning.focus {\n  color: #fff;\n  background-color: #ec971f;\n  border-color: #985f0d;\n}\n.btn-warning:hover {\n  color: #fff;\n  background-color: #ec971f;\n  border-color: #d58512;\n}\n.btn-warning:active,\n.btn-warning.active,\n.open > .dropdown-toggle.btn-warning {\n  color: #fff;\n  background-color: #ec971f;\n  background-image: none;\n  border-color: #d58512;\n}\n.btn-warning:active:hover,\n.btn-warning.active:hover,\n.open > .dropdown-toggle.btn-warning:hover,\n.btn-warning:active:focus,\n.btn-warning.active:focus,\n.open > .dropdown-toggle.btn-warning:focus,\n.btn-warning:active.focus,\n.btn-warning.active.focus,\n.open > .dropdown-toggle.btn-warning.focus {\n  color: #fff;\n  background-color: #d58512;\n  border-color: #985f0d;\n}\n.btn-warning.disabled:hover,\n.btn-warning[disabled]:hover,\nfieldset[disabled] .btn-warning:hover,\n.btn-warning.disabled:focus,\n.btn-warning[disabled]:focus,\nfieldset[disabled] .btn-warning:focus,\n.btn-warning.disabled.focus,\n.btn-warning[disabled].focus,\nfieldset[disabled] .btn-warning.focus {\n  background-color: #f0ad4e;\n  border-color: #eea236;\n}\n.btn-warning .badge {\n  color: #f0ad4e;\n  background-color: #fff;\n}\n.btn-danger {\n  color: #fff;\n  background-color: #d9534f;\n  border-color: #d43f3a;\n}\n.btn-danger:focus,\n.btn-danger.focus {\n  color: #fff;\n  background-color: #c9302c;\n  border-color: #761c19;\n}\n.btn-danger:hover {\n  color: #fff;\n  background-color: #c9302c;\n  border-color: #ac2925;\n}\n.btn-danger:active,\n.btn-danger.active,\n.open > .dropdown-toggle.btn-danger {\n  color: #fff;\n  background-color: #c9302c;\n  background-image: none;\n  border-color: #ac2925;\n}\n.btn-danger:active:hover,\n.btn-danger.active:hover,\n.open > .dropdown-toggle.btn-danger:hover,\n.btn-danger:active:focus,\n.btn-danger.active:focus,\n.open > .dropdown-toggle.btn-danger:focus,\n.btn-danger:active.focus,\n.btn-danger.active.focus,\n.open > .dropdown-toggle.btn-danger.focus {\n  color: #fff;\n  background-color: #ac2925;\n  border-color: #761c19;\n}\n.btn-danger.disabled:hover,\n.btn-danger[disabled]:hover,\nfieldset[disabled] .btn-danger:hover,\n.btn-danger.disabled:focus,\n.btn-danger[disabled]:focus,\nfieldset[disabled] .btn-danger:focus,\n.btn-danger.disabled.focus,\n.btn-danger[disabled].focus,\nfieldset[disabled] .btn-danger.focus {\n  background-color: #d9534f;\n  border-color: #d43f3a;\n}\n.btn-danger .badge {\n  color: #d9534f;\n  background-color: #fff;\n}\n.btn-link {\n  font-weight: 400;\n  color: #337ab7;\n  border-radius: 0;\n}\n.btn-link,\n.btn-link:active,\n.btn-link.active,\n.btn-link[disabled],\nfieldset[disabled] .btn-link {\n  background-color: transparent;\n  -webkit-box-shadow: none;\n  box-shadow: none;\n}\n.btn-link,\n.btn-link:hover,\n.btn-link:focus,\n.btn-link:active {\n  border-color: transparent;\n}\n.btn-link:hover,\n.btn-link:focus {\n  color: #23527c;\n  text-decoration: underline;\n  background-color: transparent;\n}\n.btn-link[disabled]:hover,\nfieldset[disabled] .btn-link:hover,\n.btn-link[disabled]:focus,\nfieldset[disabled] .btn-link:focus {\n  color: #777777;\n  text-decoration: none;\n}\n.btn-lg,\n.btn-group-lg > .btn {\n  padding: 10px 16px;\n  font-size: 18px;\n  line-height: 1.3333333;\n  border-radius: 6px;\n}\n.btn-sm,\n.btn-group-sm > .btn {\n  padding: 5px 10px;\n  font-size: 12px;\n  line-height: 1.5;\n  border-radius: 3px;\n}\n.btn-xs,\n.btn-group-xs > .btn {\n  padding: 1px 5px;\n  font-size: 12px;\n  line-height: 1.5;\n  border-radius: 3px;\n}\n.btn-block {\n  display: block;\n  width: 100%;\n}\n.btn-block + .btn-block {\n  margin-top: 5px;\n}\ninput[type=\"submit\"].btn-block,\ninput[type=\"reset\"].btn-block,\ninput[type=\"button\"].btn-block {\n  width: 100%;\n}\n.fade {\n  opacity: 0;\n  -webkit-transition: opacity 0.15s linear;\n  -o-transition: opacity 0.15s linear;\n  transition: opacity 0.15s linear;\n}\n.fade.in {\n  opacity: 1;\n}\n.collapse {\n  display: none;\n}\n.collapse.in {\n  display: block;\n}\ntr.collapse.in {\n  display: table-row;\n}\ntbody.collapse.in {\n  display: table-row-group;\n}\n.collapsing {\n  position: relative;\n  height: 0;\n  overflow: hidden;\n  -webkit-transition-property: height, visibility;\n  transition-property: height, visibility;\n  -webkit-transition-duration: 0.35s;\n  transition-duration: 0.35s;\n  -webkit-transition-timing-function: ease;\n  transition-timing-function: ease;\n}\n.caret {\n  display: inline-block;\n  width: 0;\n  height: 0;\n  margin-left: 2px;\n  vertical-align: middle;\n  border-top: 4px dashed;\n  border-top: 4px solid \\9;\n  border-right: 4px solid transparent;\n  border-left: 4px solid transparent;\n}\n.dropup,\n.dropdown {\n  position: relative;\n}\n.dropdown-toggle:focus {\n  outline: 0;\n}\n.dropdown-menu {\n  position: absolute;\n  top: 100%;\n  left: 0;\n  z-index: 1000;\n  display: none;\n  float: left;\n  min-width: 160px;\n  padding: 5px 0;\n  margin: 2px 0 0;\n  font-size: 14px;\n  text-align: left;\n  list-style: none;\n  background-color: #fff;\n  background-clip: padding-box;\n  border: 1px solid #ccc;\n  border: 1px solid rgba(0, 0, 0, 0.15);\n  border-radius: 4px;\n  -webkit-box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);\n  box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);\n}\n.dropdown-menu.pull-right {\n  right: 0;\n  left: auto;\n}\n.dropdown-menu .divider {\n  height: 1px;\n  margin: 9px 0;\n  overflow: hidden;\n  background-color: #e5e5e5;\n}\n.dropdown-menu > li > a {\n  display: block;\n  padding: 3px 20px;\n  clear: both;\n  font-weight: 400;\n  line-height: 1.42857143;\n  color: #333333;\n  white-space: nowrap;\n}\n.dropdown-menu > li > a:hover,\n.dropdown-menu > li > a:focus {\n  color: #262626;\n  text-decoration: none;\n  background-color: #f5f5f5;\n}\n.dropdown-menu > .active > a,\n.dropdown-menu > .active > a:hover,\n.dropdown-menu > .active > a:focus {\n  color: #fff;\n  text-decoration: none;\n  background-color: #337ab7;\n  outline: 0;\n}\n.dropdown-menu > .disabled > a,\n.dropdown-menu > .disabled > a:hover,\n.dropdown-menu > .disabled > a:focus {\n  color: #777777;\n}\n.dropdown-menu > .disabled > a:hover,\n.dropdown-menu > .disabled > a:focus {\n  text-decoration: none;\n  cursor: not-allowed;\n  background-color: transparent;\n  background-image: none;\n  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);\n}\n.open > .dropdown-menu {\n  display: block;\n}\n.open > a {\n  outline: 0;\n}\n.dropdown-menu-right {\n  right: 0;\n  left: auto;\n}\n.dropdown-menu-left {\n  right: auto;\n  left: 0;\n}\n.dropdown-header {\n  display: block;\n  padding: 3px 20px;\n  font-size: 12px;\n  line-height: 1.42857143;\n  color: #777777;\n  white-space: nowrap;\n}\n.dropdown-backdrop {\n  position: fixed;\n  top: 0;\n  right: 0;\n  bottom: 0;\n  left: 0;\n  z-index: 990;\n}\n.pull-right > .dropdown-menu {\n  right: 0;\n  left: auto;\n}\n.dropup .caret,\n.navbar-fixed-bottom .dropdown .caret {\n  content: \"\";\n  border-top: 0;\n  border-bottom: 4px dashed;\n  border-bottom: 4px solid \\9;\n}\n.dropup .dropdown-menu,\n.navbar-fixed-bottom .dropdown .dropdown-menu {\n  top: auto;\n  bottom: 100%;\n  margin-bottom: 2px;\n}\n@media (min-width: 768px) {\n  .navbar-right .dropdown-menu {\n    right: 0;\n    left: auto;\n  }\n  .navbar-right .dropdown-menu-left {\n    right: auto;\n    left: 0;\n  }\n}\n.btn-group,\n.btn-group-vertical {\n  position: relative;\n  display: inline-block;\n  vertical-align: middle;\n}\n.btn-group > .btn,\n.btn-group-vertical > .btn {\n  position: relative;\n  float: left;\n}\n.btn-group > .btn:hover,\n.btn-group-vertical > .btn:hover,\n.btn-group > .btn:focus,\n.btn-group-vertical > .btn:focus,\n.btn-group > .btn:active,\n.btn-group-vertical > .btn:active,\n.btn-group > .btn.active,\n.btn-group-vertical > .btn.active {\n  z-index: 2;\n}\n.btn-group .btn + .btn,\n.btn-group .btn + .btn-group,\n.btn-group .btn-group + .btn,\n.btn-group .btn-group + .btn-group {\n  margin-left: -1px;\n}\n.btn-toolbar {\n  margin-left: -5px;\n}\n.btn-toolbar .btn,\n.btn-toolbar .btn-group,\n.btn-toolbar .input-group {\n  float: left;\n}\n.btn-toolbar > .btn,\n.btn-toolbar > .btn-group,\n.btn-toolbar > .input-group {\n  margin-left: 5px;\n}\n.btn-group > .btn:not(:first-child):not(:last-child):not(.dropdown-toggle) {\n  border-radius: 0;\n}\n.btn-group > .btn:first-child {\n  margin-left: 0;\n}\n.btn-group > .btn:first-child:not(:last-child):not(.dropdown-toggle) {\n  border-top-right-radius: 0;\n  border-bottom-right-radius: 0;\n}\n.btn-group > .btn:last-child:not(:first-child),\n.btn-group > .dropdown-toggle:not(:first-child) {\n  border-top-left-radius: 0;\n  border-bottom-left-radius: 0;\n}\n.btn-group > .btn-group {\n  float: left;\n}\n.btn-group > .btn-group:not(:first-child):not(:last-child) > .btn {\n  border-radius: 0;\n}\n.btn-group > .btn-group:first-child:not(:last-child) > .btn:last-child,\n.btn-group > .btn-group:first-child:not(:last-child) > .dropdown-toggle {\n  border-top-right-radius: 0;\n  border-bottom-right-radius: 0;\n}\n.btn-group > .btn-group:last-child:not(:first-child) > .btn:first-child {\n  border-top-left-radius: 0;\n  border-bottom-left-radius: 0;\n}\n.btn-group .dropdown-toggle:active,\n.btn-group.open .dropdown-toggle {\n  outline: 0;\n}\n.btn-group > .btn + .dropdown-toggle {\n  padding-right: 8px;\n  padding-left: 8px;\n}\n.btn-group > .btn-lg + .dropdown-toggle {\n  padding-right: 12px;\n  padding-left: 12px;\n}\n.btn-group.open .dropdown-toggle {\n  -webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n}\n.btn-group.open .dropdown-toggle.btn-link {\n  -webkit-box-shadow: none;\n  box-shadow: none;\n}\n.btn .caret {\n  margin-left: 0;\n}\n.btn-lg .caret {\n  border-width: 5px 5px 0;\n  border-bottom-width: 0;\n}\n.dropup .btn-lg .caret {\n  border-width: 0 5px 5px;\n}\n.btn-group-vertical > .btn,\n.btn-group-vertical > .btn-group,\n.btn-group-vertical > .btn-group > .btn {\n  display: block;\n  float: none;\n  width: 100%;\n  max-width: 100%;\n}\n.btn-group-vertical > .btn-group > .btn {\n  float: none;\n}\n.btn-group-vertical > .btn + .btn,\n.btn-group-vertical > .btn + .btn-group,\n.btn-group-vertical > .btn-group + .btn,\n.btn-group-vertical > .btn-group + .btn-group {\n  margin-top: -1px;\n  margin-left: 0;\n}\n.btn-group-vertical > .btn:not(:first-child):not(:last-child) {\n  border-radius: 0;\n}\n.btn-group-vertical > .btn:first-child:not(:last-child) {\n  border-top-left-radius: 4px;\n  border-top-right-radius: 4px;\n  border-bottom-right-radius: 0;\n  border-bottom-left-radius: 0;\n}\n.btn-group-vertical > .btn:last-child:not(:first-child) {\n  border-top-left-radius: 0;\n  border-top-right-radius: 0;\n  border-bottom-right-radius: 4px;\n  border-bottom-left-radius: 4px;\n}\n.btn-group-vertical > .btn-group:not(:first-child):not(:last-child) > .btn {\n  border-radius: 0;\n}\n.btn-group-vertical > .btn-group:first-child:not(:last-child) > .btn:last-child,\n.btn-group-vertical > .btn-group:first-child:not(:last-child) > .dropdown-toggle {\n  border-bottom-right-radius: 0;\n  border-bottom-left-radius: 0;\n}\n.btn-group-vertical > .btn-group:last-child:not(:first-child) > .btn:first-child {\n  border-top-left-radius: 0;\n  border-top-right-radius: 0;\n}\n.btn-group-justified {\n  display: table;\n  width: 100%;\n  table-layout: fixed;\n  border-collapse: separate;\n}\n.btn-group-justified > .btn,\n.btn-group-justified > .btn-group {\n  display: table-cell;\n  float: none;\n  width: 1%;\n}\n.btn-group-justified > .btn-group .btn {\n  width: 100%;\n}\n.btn-group-justified > .btn-group .dropdown-menu {\n  left: auto;\n}\n[data-toggle=\"buttons\"] > .btn input[type=\"radio\"],\n[data-toggle=\"buttons\"] > .btn-group > .btn input[type=\"radio\"],\n[data-toggle=\"buttons\"] > .btn input[type=\"checkbox\"],\n[data-toggle=\"buttons\"] > .btn-group > .btn input[type=\"checkbox\"] {\n  position: absolute;\n  clip: rect(0, 0, 0, 0);\n  pointer-events: none;\n}\n.input-group {\n  position: relative;\n  display: table;\n  border-collapse: separate;\n}\n.input-group[class*=\"col-\"] {\n  float: none;\n  padding-right: 0;\n  padding-left: 0;\n}\n.input-group .form-control {\n  position: relative;\n  z-index: 2;\n  float: left;\n  width: 100%;\n  margin-bottom: 0;\n}\n.input-group .form-control:focus {\n  z-index: 3;\n}\n.input-group-lg > .form-control,\n.input-group-lg > .input-group-addon,\n.input-group-lg > .input-group-btn > .btn {\n  height: 46px;\n  padding: 10px 16px;\n  font-size: 18px;\n  line-height: 1.3333333;\n  border-radius: 6px;\n}\nselect.input-group-lg > .form-control,\nselect.input-group-lg > .input-group-addon,\nselect.input-group-lg > .input-group-btn > .btn {\n  height: 46px;\n  line-height: 46px;\n}\ntextarea.input-group-lg > .form-control,\ntextarea.input-group-lg > .input-group-addon,\ntextarea.input-group-lg > .input-group-btn > .btn,\nselect[multiple].input-group-lg > .form-control,\nselect[multiple].input-group-lg > .input-group-addon,\nselect[multiple].input-group-lg > .input-group-btn > .btn {\n  height: auto;\n}\n.input-group-sm > .form-control,\n.input-group-sm > .input-group-addon,\n.input-group-sm > .input-group-btn > .btn {\n  height: 30px;\n  padding: 5px 10px;\n  font-size: 12px;\n  line-height: 1.5;\n  border-radius: 3px;\n}\nselect.input-group-sm > .form-control,\nselect.input-group-sm > .input-group-addon,\nselect.input-group-sm > .input-group-btn > .btn {\n  height: 30px;\n  line-height: 30px;\n}\ntextarea.input-group-sm > .form-control,\ntextarea.input-group-sm > .input-group-addon,\ntextarea.input-group-sm > .input-group-btn > .btn,\nselect[multiple].input-group-sm > .form-control,\nselect[multiple].input-group-sm > .input-group-addon,\nselect[multiple].input-group-sm > .input-group-btn > .btn {\n  height: auto;\n}\n.input-group-addon,\n.input-group-btn,\n.input-group .form-control {\n  display: table-cell;\n}\n.input-group-addon:not(:first-child):not(:last-child),\n.input-group-btn:not(:first-child):not(:last-child),\n.input-group .form-control:not(:first-child):not(:last-child) {\n  border-radius: 0;\n}\n.input-group-addon,\n.input-group-btn {\n  width: 1%;\n  white-space: nowrap;\n  vertical-align: middle;\n}\n.input-group-addon {\n  padding: 6px 12px;\n  font-size: 14px;\n  font-weight: 400;\n  line-height: 1;\n  color: #555555;\n  text-align: center;\n  background-color: #eeeeee;\n  border: 1px solid #ccc;\n  border-radius: 4px;\n}\n.input-group-addon.input-sm {\n  padding: 5px 10px;\n  font-size: 12px;\n  border-radius: 3px;\n}\n.input-group-addon.input-lg {\n  padding: 10px 16px;\n  font-size: 18px;\n  border-radius: 6px;\n}\n.input-group-addon input[type=\"radio\"],\n.input-group-addon input[type=\"checkbox\"] {\n  margin-top: 0;\n}\n.input-group .form-control:first-child,\n.input-group-addon:first-child,\n.input-group-btn:first-child > .btn,\n.input-group-btn:first-child > .btn-group > .btn,\n.input-group-btn:first-child > .dropdown-toggle,\n.input-group-btn:last-child > .btn:not(:last-child):not(.dropdown-toggle),\n.input-group-btn:last-child > .btn-group:not(:last-child) > .btn {\n  border-top-right-radius: 0;\n  border-bottom-right-radius: 0;\n}\n.input-group-addon:first-child {\n  border-right: 0;\n}\n.input-group .form-control:last-child,\n.input-group-addon:last-child,\n.input-group-btn:last-child > .btn,\n.input-group-btn:last-child > .btn-group > .btn,\n.input-group-btn:last-child > .dropdown-toggle,\n.input-group-btn:first-child > .btn:not(:first-child),\n.input-group-btn:first-child > .btn-group:not(:first-child) > .btn {\n  border-top-left-radius: 0;\n  border-bottom-left-radius: 0;\n}\n.input-group-addon:last-child {\n  border-left: 0;\n}\n.input-group-btn {\n  position: relative;\n  font-size: 0;\n  white-space: nowrap;\n}\n.input-group-btn > .btn {\n  position: relative;\n}\n.input-group-btn > .btn + .btn {\n  margin-left: -1px;\n}\n.input-group-btn > .btn:hover,\n.input-group-btn > .btn:focus,\n.input-group-btn > .btn:active {\n  z-index: 2;\n}\n.input-group-btn:first-child > .btn,\n.input-group-btn:first-child > .btn-group {\n  margin-right: -1px;\n}\n.input-group-btn:last-child > .btn,\n.input-group-btn:last-child > .btn-group {\n  z-index: 2;\n  margin-left: -1px;\n}\n.nav {\n  padding-left: 0;\n  margin-bottom: 0;\n  list-style: none;\n}\n.nav > li {\n  position: relative;\n  display: block;\n}\n.nav > li > a {\n  position: relative;\n  display: block;\n  padding: 10px 15px;\n}\n.nav > li > a:hover,\n.nav > li > a:focus {\n  text-decoration: none;\n  background-color: #eeeeee;\n}\n.nav > li.disabled > a {\n  color: #777777;\n}\n.nav > li.disabled > a:hover,\n.nav > li.disabled > a:focus {\n  color: #777777;\n  text-decoration: none;\n  cursor: not-allowed;\n  background-color: transparent;\n}\n.nav .open > a,\n.nav .open > a:hover,\n.nav .open > a:focus {\n  background-color: #eeeeee;\n  border-color: #337ab7;\n}\n.nav .nav-divider {\n  height: 1px;\n  margin: 9px 0;\n  overflow: hidden;\n  background-color: #e5e5e5;\n}\n.nav > li > a > img {\n  max-width: none;\n}\n.nav-tabs {\n  border-bottom: 1px solid #ddd;\n}\n.nav-tabs > li {\n  float: left;\n  margin-bottom: -1px;\n}\n.nav-tabs > li > a {\n  margin-right: 2px;\n  line-height: 1.42857143;\n  border: 1px solid transparent;\n  border-radius: 4px 4px 0 0;\n}\n.nav-tabs > li > a:hover {\n  border-color: #eeeeee #eeeeee #ddd;\n}\n.nav-tabs > li.active > a,\n.nav-tabs > li.active > a:hover,\n.nav-tabs > li.active > a:focus {\n  color: #555555;\n  cursor: default;\n  background-color: #fff;\n  border: 1px solid #ddd;\n  border-bottom-color: transparent;\n}\n.nav-tabs.nav-justified {\n  width: 100%;\n  border-bottom: 0;\n}\n.nav-tabs.nav-justified > li {\n  float: none;\n}\n.nav-tabs.nav-justified > li > a {\n  margin-bottom: 5px;\n  text-align: center;\n}\n.nav-tabs.nav-justified > .dropdown .dropdown-menu {\n  top: auto;\n  left: auto;\n}\n@media (min-width: 768px) {\n  .nav-tabs.nav-justified > li {\n    display: table-cell;\n    width: 1%;\n  }\n  .nav-tabs.nav-justified > li > a {\n    margin-bottom: 0;\n  }\n}\n.nav-tabs.nav-justified > li > a {\n  margin-right: 0;\n  border-radius: 4px;\n}\n.nav-tabs.nav-justified > .active > a,\n.nav-tabs.nav-justified > .active > a:hover,\n.nav-tabs.nav-justified > .active > a:focus {\n  border: 1px solid #ddd;\n}\n@media (min-width: 768px) {\n  .nav-tabs.nav-justified > li > a {\n    border-bottom: 1px solid #ddd;\n    border-radius: 4px 4px 0 0;\n  }\n  .nav-tabs.nav-justified > .active > a,\n  .nav-tabs.nav-justified > .active > a:hover,\n  .nav-tabs.nav-justified > .active > a:focus {\n    border-bottom-color: #fff;\n  }\n}\n.nav-pills > li {\n  float: left;\n}\n.nav-pills > li > a {\n  border-radius: 4px;\n}\n.nav-pills > li + li {\n  margin-left: 2px;\n}\n.nav-pills > li.active > a,\n.nav-pills > li.active > a:hover,\n.nav-pills > li.active > a:focus {\n  color: #fff;\n  background-color: #337ab7;\n}\n.nav-stacked > li {\n  float: none;\n}\n.nav-stacked > li + li {\n  margin-top: 2px;\n  margin-left: 0;\n}\n.nav-justified {\n  width: 100%;\n}\n.nav-justified > li {\n  float: none;\n}\n.nav-justified > li > a {\n  margin-bottom: 5px;\n  text-align: center;\n}\n.nav-justified > .dropdown .dropdown-menu {\n  top: auto;\n  left: auto;\n}\n@media (min-width: 768px) {\n  .nav-justified > li {\n    display: table-cell;\n    width: 1%;\n  }\n  .nav-justified > li > a {\n    margin-bottom: 0;\n  }\n}\n.nav-tabs-justified {\n  border-bottom: 0;\n}\n.nav-tabs-justified > li > a {\n  margin-right: 0;\n  border-radius: 4px;\n}\n.nav-tabs-justified > .active > a,\n.nav-tabs-justified > .active > a:hover,\n.nav-tabs-justified > .active > a:focus {\n  border: 1px solid #ddd;\n}\n@media (min-width: 768px) {\n  .nav-tabs-justified > li > a {\n    border-bottom: 1px solid #ddd;\n    border-radius: 4px 4px 0 0;\n  }\n  .nav-tabs-justified > .active > a,\n  .nav-tabs-justified > .active > a:hover,\n  .nav-tabs-justified > .active > a:focus {\n    border-bottom-color: #fff;\n  }\n}\n.tab-content > .tab-pane {\n  display: none;\n}\n.tab-content > .active {\n  display: block;\n}\n.nav-tabs .dropdown-menu {\n  margin-top: -1px;\n  border-top-left-radius: 0;\n  border-top-right-radius: 0;\n}\n.navbar {\n  position: relative;\n  min-height: 50px;\n  margin-bottom: 20px;\n  border: 1px solid transparent;\n}\n@media (min-width: 768px) {\n  .navbar {\n    border-radius: 4px;\n  }\n}\n@media (min-width: 768px) {\n  .navbar-header {\n    float: left;\n  }\n}\n.navbar-collapse {\n  padding-right: 15px;\n  padding-left: 15px;\n  overflow-x: visible;\n  border-top: 1px solid transparent;\n  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1);\n  -webkit-overflow-scrolling: touch;\n}\n.navbar-collapse.in {\n  overflow-y: auto;\n}\n@media (min-width: 768px) {\n  .navbar-collapse {\n    width: auto;\n    border-top: 0;\n    box-shadow: none;\n  }\n  .navbar-collapse.collapse {\n    display: block !important;\n    height: auto !important;\n    padding-bottom: 0;\n    overflow: visible !important;\n  }\n  .navbar-collapse.in {\n    overflow-y: visible;\n  }\n  .navbar-fixed-top .navbar-collapse,\n  .navbar-static-top .navbar-collapse,\n  .navbar-fixed-bottom .navbar-collapse {\n    padding-right: 0;\n    padding-left: 0;\n  }\n}\n.navbar-fixed-top,\n.navbar-fixed-bottom {\n  position: fixed;\n  right: 0;\n  left: 0;\n  z-index: 1030;\n}\n.navbar-fixed-top .navbar-collapse,\n.navbar-fixed-bottom .navbar-collapse {\n  max-height: 340px;\n}\n@media (max-device-width: 480px) and (orientation: landscape) {\n  .navbar-fixed-top .navbar-collapse,\n  .navbar-fixed-bottom .navbar-collapse {\n    max-height: 200px;\n  }\n}\n@media (min-width: 768px) {\n  .navbar-fixed-top,\n  .navbar-fixed-bottom {\n    border-radius: 0;\n  }\n}\n.navbar-fixed-top {\n  top: 0;\n  border-width: 0 0 1px;\n}\n.navbar-fixed-bottom {\n  bottom: 0;\n  margin-bottom: 0;\n  border-width: 1px 0 0;\n}\n.container > .navbar-header,\n.container-fluid > .navbar-header,\n.container > .navbar-collapse,\n.container-fluid > .navbar-collapse {\n  margin-right: -15px;\n  margin-left: -15px;\n}\n@media (min-width: 768px) {\n  .container > .navbar-header,\n  .container-fluid > .navbar-header,\n  .container > .navbar-collapse,\n  .container-fluid > .navbar-collapse {\n    margin-right: 0;\n    margin-left: 0;\n  }\n}\n.navbar-static-top {\n  z-index: 1000;\n  border-width: 0 0 1px;\n}\n@media (min-width: 768px) {\n  .navbar-static-top {\n    border-radius: 0;\n  }\n}\n.navbar-brand {\n  float: left;\n  height: 50px;\n  padding: 15px 15px;\n  font-size: 18px;\n  line-height: 20px;\n}\n.navbar-brand:hover,\n.navbar-brand:focus {\n  text-decoration: none;\n}\n.navbar-brand > img {\n  display: block;\n}\n@media (min-width: 768px) {\n  .navbar > .container .navbar-brand,\n  .navbar > .container-fluid .navbar-brand {\n    margin-left: -15px;\n  }\n}\n.navbar-toggle {\n  position: relative;\n  float: right;\n  padding: 9px 10px;\n  margin-right: 15px;\n  margin-top: 8px;\n  margin-bottom: 8px;\n  background-color: transparent;\n  background-image: none;\n  border: 1px solid transparent;\n  border-radius: 4px;\n}\n.navbar-toggle:focus {\n  outline: 0;\n}\n.navbar-toggle .icon-bar {\n  display: block;\n  width: 22px;\n  height: 2px;\n  border-radius: 1px;\n}\n.navbar-toggle .icon-bar + .icon-bar {\n  margin-top: 4px;\n}\n@media (min-width: 768px) {\n  .navbar-toggle {\n    display: none;\n  }\n}\n.navbar-nav {\n  margin: 7.5px -15px;\n}\n.navbar-nav > li > a {\n  padding-top: 10px;\n  padding-bottom: 10px;\n  line-height: 20px;\n}\n@media (max-width: 767px) {\n  .navbar-nav .open .dropdown-menu {\n    position: static;\n    float: none;\n    width: auto;\n    margin-top: 0;\n    background-color: transparent;\n    border: 0;\n    box-shadow: none;\n  }\n  .navbar-nav .open .dropdown-menu > li > a,\n  .navbar-nav .open .dropdown-menu .dropdown-header {\n    padding: 5px 15px 5px 25px;\n  }\n  .navbar-nav .open .dropdown-menu > li > a {\n    line-height: 20px;\n  }\n  .navbar-nav .open .dropdown-menu > li > a:hover,\n  .navbar-nav .open .dropdown-menu > li > a:focus {\n    background-image: none;\n  }\n}\n@media (min-width: 768px) {\n  .navbar-nav {\n    float: left;\n    margin: 0;\n  }\n  .navbar-nav > li {\n    float: left;\n  }\n  .navbar-nav > li > a {\n    padding-top: 15px;\n    padding-bottom: 15px;\n  }\n}\n.navbar-form {\n  padding: 10px 15px;\n  margin-right: -15px;\n  margin-left: -15px;\n  border-top: 1px solid transparent;\n  border-bottom: 1px solid transparent;\n  -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);\n  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);\n  margin-top: 8px;\n  margin-bottom: 8px;\n}\n@media (min-width: 768px) {\n  .navbar-form .form-group {\n    display: inline-block;\n    margin-bottom: 0;\n    vertical-align: middle;\n  }\n  .navbar-form .form-control {\n    display: inline-block;\n    width: auto;\n    vertical-align: middle;\n  }\n  .navbar-form .form-control-static {\n    display: inline-block;\n  }\n  .navbar-form .input-group {\n    display: inline-table;\n    vertical-align: middle;\n  }\n  .navbar-form .input-group .input-group-addon,\n  .navbar-form .input-group .input-group-btn,\n  .navbar-form .input-group .form-control {\n    width: auto;\n  }\n  .navbar-form .input-group > .form-control {\n    width: 100%;\n  }\n  .navbar-form .control-label {\n    margin-bottom: 0;\n    vertical-align: middle;\n  }\n  .navbar-form .radio,\n  .navbar-form .checkbox {\n    display: inline-block;\n    margin-top: 0;\n    margin-bottom: 0;\n    vertical-align: middle;\n  }\n  .navbar-form .radio label,\n  .navbar-form .checkbox label {\n    padding-left: 0;\n  }\n  .navbar-form .radio input[type=\"radio\"],\n  .navbar-form .checkbox input[type=\"checkbox\"] {\n    position: relative;\n    margin-left: 0;\n  }\n  .navbar-form .has-feedback .form-control-feedback {\n    top: 0;\n  }\n}\n@media (max-width: 767px) {\n  .navbar-form .form-group {\n    margin-bottom: 5px;\n  }\n  .navbar-form .form-group:last-child {\n    margin-bottom: 0;\n  }\n}\n@media (min-width: 768px) {\n  .navbar-form {\n    width: auto;\n    padding-top: 0;\n    padding-bottom: 0;\n    margin-right: 0;\n    margin-left: 0;\n    border: 0;\n    -webkit-box-shadow: none;\n    box-shadow: none;\n  }\n}\n.navbar-nav > li > .dropdown-menu {\n  margin-top: 0;\n  border-top-left-radius: 0;\n  border-top-right-radius: 0;\n}\n.navbar-fixed-bottom .navbar-nav > li > .dropdown-menu {\n  margin-bottom: 0;\n  border-top-left-radius: 4px;\n  border-top-right-radius: 4px;\n  border-bottom-right-radius: 0;\n  border-bottom-left-radius: 0;\n}\n.navbar-btn {\n  margin-top: 8px;\n  margin-bottom: 8px;\n}\n.navbar-btn.btn-sm {\n  margin-top: 10px;\n  margin-bottom: 10px;\n}\n.navbar-btn.btn-xs {\n  margin-top: 14px;\n  margin-bottom: 14px;\n}\n.navbar-text {\n  margin-top: 15px;\n  margin-bottom: 15px;\n}\n@media (min-width: 768px) {\n  .navbar-text {\n    float: left;\n    margin-right: 15px;\n    margin-left: 15px;\n  }\n}\n@media (min-width: 768px) {\n  .navbar-left {\n    float: left !important;\n  }\n  .navbar-right {\n    float: right !important;\n    margin-right: -15px;\n  }\n  .navbar-right ~ .navbar-right {\n    margin-right: 0;\n  }\n}\n.navbar-default {\n  background-color: #f8f8f8;\n  border-color: #e7e7e7;\n}\n.navbar-default .navbar-brand {\n  color: #777;\n}\n.navbar-default .navbar-brand:hover,\n.navbar-default .navbar-brand:focus {\n  color: #5e5e5e;\n  background-color: transparent;\n}\n.navbar-default .navbar-text {\n  color: #777;\n}\n.navbar-default .navbar-nav > li > a {\n  color: #777;\n}\n.navbar-default .navbar-nav > li > a:hover,\n.navbar-default .navbar-nav > li > a:focus {\n  color: #333;\n  background-color: transparent;\n}\n.navbar-default .navbar-nav > .active > a,\n.navbar-default .navbar-nav > .active > a:hover,\n.navbar-default .navbar-nav > .active > a:focus {\n  color: #555;\n  background-color: #e7e7e7;\n}\n.navbar-default .navbar-nav > .disabled > a,\n.navbar-default .navbar-nav > .disabled > a:hover,\n.navbar-default .navbar-nav > .disabled > a:focus {\n  color: #ccc;\n  background-color: transparent;\n}\n.navbar-default .navbar-nav > .open > a,\n.navbar-default .navbar-nav > .open > a:hover,\n.navbar-default .navbar-nav > .open > a:focus {\n  color: #555;\n  background-color: #e7e7e7;\n}\n@media (max-width: 767px) {\n  .navbar-default .navbar-nav .open .dropdown-menu > li > a {\n    color: #777;\n  }\n  .navbar-default .navbar-nav .open .dropdown-menu > li > a:hover,\n  .navbar-default .navbar-nav .open .dropdown-menu > li > a:focus {\n    color: #333;\n    background-color: transparent;\n  }\n  .navbar-default .navbar-nav .open .dropdown-menu > .active > a,\n  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:hover,\n  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:focus {\n    color: #555;\n    background-color: #e7e7e7;\n  }\n  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a,\n  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:hover,\n  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:focus {\n    color: #ccc;\n    background-color: transparent;\n  }\n}\n.navbar-default .navbar-toggle {\n  border-color: #ddd;\n}\n.navbar-default .navbar-toggle:hover,\n.navbar-default .navbar-toggle:focus {\n  background-color: #ddd;\n}\n.navbar-default .navbar-toggle .icon-bar {\n  background-color: #888;\n}\n.navbar-default .navbar-collapse,\n.navbar-default .navbar-form {\n  border-color: #e7e7e7;\n}\n.navbar-default .navbar-link {\n  color: #777;\n}\n.navbar-default .navbar-link:hover {\n  color: #333;\n}\n.navbar-default .btn-link {\n  color: #777;\n}\n.navbar-default .btn-link:hover,\n.navbar-default .btn-link:focus {\n  color: #333;\n}\n.navbar-default .btn-link[disabled]:hover,\nfieldset[disabled] .navbar-default .btn-link:hover,\n.navbar-default .btn-link[disabled]:focus,\nfieldset[disabled] .navbar-default .btn-link:focus {\n  color: #ccc;\n}\n.navbar-inverse {\n  background-color: #222;\n  border-color: #080808;\n}\n.navbar-inverse .navbar-brand {\n  color: #9d9d9d;\n}\n.navbar-inverse .navbar-brand:hover,\n.navbar-inverse .navbar-brand:focus {\n  color: #fff;\n  background-color: transparent;\n}\n.navbar-inverse .navbar-text {\n  color: #9d9d9d;\n}\n.navbar-inverse .navbar-nav > li > a {\n  color: #9d9d9d;\n}\n.navbar-inverse .navbar-nav > li > a:hover,\n.navbar-inverse .navbar-nav > li > a:focus {\n  color: #fff;\n  background-color: transparent;\n}\n.navbar-inverse .navbar-nav > .active > a,\n.navbar-inverse .navbar-nav > .active > a:hover,\n.navbar-inverse .navbar-nav > .active > a:focus {\n  color: #fff;\n  background-color: #080808;\n}\n.navbar-inverse .navbar-nav > .disabled > a,\n.navbar-inverse .navbar-nav > .disabled > a:hover,\n.navbar-inverse .navbar-nav > .disabled > a:focus {\n  color: #444;\n  background-color: transparent;\n}\n.navbar-inverse .navbar-nav > .open > a,\n.navbar-inverse .navbar-nav > .open > a:hover,\n.navbar-inverse .navbar-nav > .open > a:focus {\n  color: #fff;\n  background-color: #080808;\n}\n@media (max-width: 767px) {\n  .navbar-inverse .navbar-nav .open .dropdown-menu > .dropdown-header {\n    border-color: #080808;\n  }\n  .navbar-inverse .navbar-nav .open .dropdown-menu .divider {\n    background-color: #080808;\n  }\n  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a {\n    color: #9d9d9d;\n  }\n  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a:hover,\n  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a:focus {\n    color: #fff;\n    background-color: transparent;\n  }\n  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a,\n  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a:hover,\n  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a:focus {\n    color: #fff;\n    background-color: #080808;\n  }\n  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a,\n  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a:hover,\n  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a:focus {\n    color: #444;\n    background-color: transparent;\n  }\n}\n.navbar-inverse .navbar-toggle {\n  border-color: #333;\n}\n.navbar-inverse .navbar-toggle:hover,\n.navbar-inverse .navbar-toggle:focus {\n  background-color: #333;\n}\n.navbar-inverse .navbar-toggle .icon-bar {\n  background-color: #fff;\n}\n.navbar-inverse .navbar-collapse,\n.navbar-inverse .navbar-form {\n  border-color: #101010;\n}\n.navbar-inverse .navbar-link {\n  color: #9d9d9d;\n}\n.navbar-inverse .navbar-link:hover {\n  color: #fff;\n}\n.navbar-inverse .btn-link {\n  color: #9d9d9d;\n}\n.navbar-inverse .btn-link:hover,\n.navbar-inverse .btn-link:focus {\n  color: #fff;\n}\n.navbar-inverse .btn-link[disabled]:hover,\nfieldset[disabled] .navbar-inverse .btn-link:hover,\n.navbar-inverse .btn-link[disabled]:focus,\nfieldset[disabled] .navbar-inverse .btn-link:focus {\n  color: #444;\n}\n.breadcrumb {\n  padding: 8px 15px;\n  margin-bottom: 20px;\n  list-style: none;\n  background-color: #f5f5f5;\n  border-radius: 4px;\n}\n.breadcrumb > li {\n  display: inline-block;\n}\n.breadcrumb > li + li:before {\n  padding: 0 5px;\n  color: #ccc;\n  content: \"/\\00a0\";\n}\n.breadcrumb > .active {\n  color: #777777;\n}\n.pagination {\n  display: inline-block;\n  padding-left: 0;\n  margin: 20px 0;\n  border-radius: 4px;\n}\n.pagination > li {\n  display: inline;\n}\n.pagination > li > a,\n.pagination > li > span {\n  position: relative;\n  float: left;\n  padding: 6px 12px;\n  margin-left: -1px;\n  line-height: 1.42857143;\n  color: #337ab7;\n  text-decoration: none;\n  background-color: #fff;\n  border: 1px solid #ddd;\n}\n.pagination > li > a:hover,\n.pagination > li > span:hover,\n.pagination > li > a:focus,\n.pagination > li > span:focus {\n  z-index: 2;\n  color: #23527c;\n  background-color: #eeeeee;\n  border-color: #ddd;\n}\n.pagination > li:first-child > a,\n.pagination > li:first-child > span {\n  margin-left: 0;\n  border-top-left-radius: 4px;\n  border-bottom-left-radius: 4px;\n}\n.pagination > li:last-child > a,\n.pagination > li:last-child > span {\n  border-top-right-radius: 4px;\n  border-bottom-right-radius: 4px;\n}\n.pagination > .active > a,\n.pagination > .active > span,\n.pagination > .active > a:hover,\n.pagination > .active > span:hover,\n.pagination > .active > a:focus,\n.pagination > .active > span:focus {\n  z-index: 3;\n  color: #fff;\n  cursor: default;\n  background-color: #337ab7;\n  border-color: #337ab7;\n}\n.pagination > .disabled > span,\n.pagination > .disabled > span:hover,\n.pagination > .disabled > span:focus,\n.pagination > .disabled > a,\n.pagination > .disabled > a:hover,\n.pagination > .disabled > a:focus {\n  color: #777777;\n  cursor: not-allowed;\n  background-color: #fff;\n  border-color: #ddd;\n}\n.pagination-lg > li > a,\n.pagination-lg > li > span {\n  padding: 10px 16px;\n  font-size: 18px;\n  line-height: 1.3333333;\n}\n.pagination-lg > li:first-child > a,\n.pagination-lg > li:first-child > span {\n  border-top-left-radius: 6px;\n  border-bottom-left-radius: 6px;\n}\n.pagination-lg > li:last-child > a,\n.pagination-lg > li:last-child > span {\n  border-top-right-radius: 6px;\n  border-bottom-right-radius: 6px;\n}\n.pagination-sm > li > a,\n.pagination-sm > li > span {\n  padding: 5px 10px;\n  font-size: 12px;\n  line-height: 1.5;\n}\n.pagination-sm > li:first-child > a,\n.pagination-sm > li:first-child > span {\n  border-top-left-radius: 3px;\n  border-bottom-left-radius: 3px;\n}\n.pagination-sm > li:last-child > a,\n.pagination-sm > li:last-child > span {\n  border-top-right-radius: 3px;\n  border-bottom-right-radius: 3px;\n}\n.pager {\n  padding-left: 0;\n  margin: 20px 0;\n  text-align: center;\n  list-style: none;\n}\n.pager li {\n  display: inline;\n}\n.pager li > a,\n.pager li > span {\n  display: inline-block;\n  padding: 5px 14px;\n  background-color: #fff;\n  border: 1px solid #ddd;\n  border-radius: 15px;\n}\n.pager li > a:hover,\n.pager li > a:focus {\n  text-decoration: none;\n  background-color: #eeeeee;\n}\n.pager .next > a,\n.pager .next > span {\n  float: right;\n}\n.pager .previous > a,\n.pager .previous > span {\n  float: left;\n}\n.pager .disabled > a,\n.pager .disabled > a:hover,\n.pager .disabled > a:focus,\n.pager .disabled > span {\n  color: #777777;\n  cursor: not-allowed;\n  background-color: #fff;\n}\n.label {\n  display: inline;\n  padding: 0.2em 0.6em 0.3em;\n  font-size: 75%;\n  font-weight: 700;\n  line-height: 1;\n  color: #fff;\n  text-align: center;\n  white-space: nowrap;\n  vertical-align: baseline;\n  border-radius: 0.25em;\n}\na.label:hover,\na.label:focus {\n  color: #fff;\n  text-decoration: none;\n  cursor: pointer;\n}\n.label:empty {\n  display: none;\n}\n.btn .label {\n  position: relative;\n  top: -1px;\n}\n.label-default {\n  background-color: #777777;\n}\n.label-default[href]:hover,\n.label-default[href]:focus {\n  background-color: #5e5e5e;\n}\n.label-primary {\n  background-color: #337ab7;\n}\n.label-primary[href]:hover,\n.label-primary[href]:focus {\n  background-color: #286090;\n}\n.label-success {\n  background-color: #5cb85c;\n}\n.label-success[href]:hover,\n.label-success[href]:focus {\n  background-color: #449d44;\n}\n.label-info {\n  background-color: #5bc0de;\n}\n.label-info[href]:hover,\n.label-info[href]:focus {\n  background-color: #31b0d5;\n}\n.label-warning {\n  background-color: #f0ad4e;\n}\n.label-warning[href]:hover,\n.label-warning[href]:focus {\n  background-color: #ec971f;\n}\n.label-danger {\n  background-color: #d9534f;\n}\n.label-danger[href]:hover,\n.label-danger[href]:focus {\n  background-color: #c9302c;\n}\n.badge {\n  display: inline-block;\n  min-width: 10px;\n  padding: 3px 7px;\n  font-size: 12px;\n  font-weight: bold;\n  line-height: 1;\n  color: #fff;\n  text-align: center;\n  white-space: nowrap;\n  vertical-align: middle;\n  background-color: #777777;\n  border-radius: 10px;\n}\n.badge:empty {\n  display: none;\n}\n.btn .badge {\n  position: relative;\n  top: -1px;\n}\n.btn-xs .badge,\n.btn-group-xs > .btn .badge {\n  top: 0;\n  padding: 1px 5px;\n}\na.badge:hover,\na.badge:focus {\n  color: #fff;\n  text-decoration: none;\n  cursor: pointer;\n}\n.list-group-item.active > .badge,\n.nav-pills > .active > a > .badge {\n  color: #337ab7;\n  background-color: #fff;\n}\n.list-group-item > .badge {\n  float: right;\n}\n.list-group-item > .badge + .badge {\n  margin-right: 5px;\n}\n.nav-pills > li > a > .badge {\n  margin-left: 3px;\n}\n.jumbotron {\n  padding-top: 30px;\n  padding-bottom: 30px;\n  margin-bottom: 30px;\n  color: inherit;\n  background-color: #eeeeee;\n}\n.jumbotron h1,\n.jumbotron .h1 {\n  color: inherit;\n}\n.jumbotron p {\n  margin-bottom: 15px;\n  font-size: 21px;\n  font-weight: 200;\n}\n.jumbotron > hr {\n  border-top-color: #d5d5d5;\n}\n.container .jumbotron,\n.container-fluid .jumbotron {\n  padding-right: 15px;\n  padding-left: 15px;\n  border-radius: 6px;\n}\n.jumbotron .container {\n  max-width: 100%;\n}\n@media screen and (min-width: 768px) {\n  .jumbotron {\n    padding-top: 48px;\n    padding-bottom: 48px;\n  }\n  .container .jumbotron,\n  .container-fluid .jumbotron {\n    padding-right: 60px;\n    padding-left: 60px;\n  }\n  .jumbotron h1,\n  .jumbotron .h1 {\n    font-size: 63px;\n  }\n}\n.thumbnail {\n  display: block;\n  padding: 4px;\n  margin-bottom: 20px;\n  line-height: 1.42857143;\n  background-color: #fff;\n  border: 1px solid #ddd;\n  border-radius: 4px;\n  -webkit-transition: border 0.2s ease-in-out;\n  -o-transition: border 0.2s ease-in-out;\n  transition: border 0.2s ease-in-out;\n}\n.thumbnail > img,\n.thumbnail a > img {\n  margin-right: auto;\n  margin-left: auto;\n}\na.thumbnail:hover,\na.thumbnail:focus,\na.thumbnail.active {\n  border-color: #337ab7;\n}\n.thumbnail .caption {\n  padding: 9px;\n  color: #333333;\n}\n.alert {\n  padding: 15px;\n  margin-bottom: 20px;\n  border: 1px solid transparent;\n  border-radius: 4px;\n}\n.alert h4 {\n  margin-top: 0;\n  color: inherit;\n}\n.alert .alert-link {\n  font-weight: bold;\n}\n.alert > p,\n.alert > ul {\n  margin-bottom: 0;\n}\n.alert > p + p {\n  margin-top: 5px;\n}\n.alert-dismissable,\n.alert-dismissible {\n  padding-right: 35px;\n}\n.alert-dismissable .close,\n.alert-dismissible .close {\n  position: relative;\n  top: -2px;\n  right: -21px;\n  color: inherit;\n}\n.alert-success {\n  color: #3c763d;\n  background-color: #dff0d8;\n  border-color: #d6e9c6;\n}\n.alert-success hr {\n  border-top-color: #c9e2b3;\n}\n.alert-success .alert-link {\n  color: #2b542c;\n}\n.alert-info {\n  color: #31708f;\n  background-color: #d9edf7;\n  border-color: #bce8f1;\n}\n.alert-info hr {\n  border-top-color: #a6e1ec;\n}\n.alert-info .alert-link {\n  color: #245269;\n}\n.alert-warning {\n  color: #8a6d3b;\n  background-color: #fcf8e3;\n  border-color: #faebcc;\n}\n.alert-warning hr {\n  border-top-color: #f7e1b5;\n}\n.alert-warning .alert-link {\n  color: #66512c;\n}\n.alert-danger {\n  color: #a94442;\n  background-color: #f2dede;\n  border-color: #ebccd1;\n}\n.alert-danger hr {\n  border-top-color: #e4b9c0;\n}\n.alert-danger .alert-link {\n  color: #843534;\n}\n@-webkit-keyframes progress-bar-stripes {\n  from {\n    background-position: 40px 0;\n  }\n  to {\n    background-position: 0 0;\n  }\n}\n@keyframes progress-bar-stripes {\n  from {\n    background-position: 40px 0;\n  }\n  to {\n    background-position: 0 0;\n  }\n}\n.progress {\n  height: 20px;\n  margin-bottom: 20px;\n  overflow: hidden;\n  background-color: #f5f5f5;\n  border-radius: 4px;\n  -webkit-box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);\n  box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);\n}\n.progress-bar {\n  float: left;\n  width: 0%;\n  height: 100%;\n  font-size: 12px;\n  line-height: 20px;\n  color: #fff;\n  text-align: center;\n  background-color: #337ab7;\n  -webkit-box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15);\n  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15);\n  -webkit-transition: width 0.6s ease;\n  -o-transition: width 0.6s ease;\n  transition: width 0.6s ease;\n}\n.progress-striped .progress-bar,\n.progress-bar-striped {\n  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n  background-size: 40px 40px;\n}\n.progress.active .progress-bar,\n.progress-bar.active {\n  -webkit-animation: progress-bar-stripes 2s linear infinite;\n  -o-animation: progress-bar-stripes 2s linear infinite;\n  animation: progress-bar-stripes 2s linear infinite;\n}\n.progress-bar-success {\n  background-color: #5cb85c;\n}\n.progress-striped .progress-bar-success {\n  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n}\n.progress-bar-info {\n  background-color: #5bc0de;\n}\n.progress-striped .progress-bar-info {\n  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n}\n.progress-bar-warning {\n  background-color: #f0ad4e;\n}\n.progress-striped .progress-bar-warning {\n  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n}\n.progress-bar-danger {\n  background-color: #d9534f;\n}\n.progress-striped .progress-bar-danger {\n  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n}\n.media {\n  margin-top: 15px;\n}\n.media:first-child {\n  margin-top: 0;\n}\n.media,\n.media-body {\n  overflow: hidden;\n  zoom: 1;\n}\n.media-body {\n  width: 10000px;\n}\n.media-object {\n  display: block;\n}\n.media-object.img-thumbnail {\n  max-width: none;\n}\n.media-right,\n.media > .pull-right {\n  padding-left: 10px;\n}\n.media-left,\n.media > .pull-left {\n  padding-right: 10px;\n}\n.media-left,\n.media-right,\n.media-body {\n  display: table-cell;\n  vertical-align: top;\n}\n.media-middle {\n  vertical-align: middle;\n}\n.media-bottom {\n  vertical-align: bottom;\n}\n.media-heading {\n  margin-top: 0;\n  margin-bottom: 5px;\n}\n.media-list {\n  padding-left: 0;\n  list-style: none;\n}\n.list-group {\n  padding-left: 0;\n  margin-bottom: 20px;\n}\n.list-group-item {\n  position: relative;\n  display: block;\n  padding: 10px 15px;\n  margin-bottom: -1px;\n  background-color: #fff;\n  border: 1px solid #ddd;\n}\n.list-group-item:first-child {\n  border-top-left-radius: 4px;\n  border-top-right-radius: 4px;\n}\n.list-group-item:last-child {\n  margin-bottom: 0;\n  border-bottom-right-radius: 4px;\n  border-bottom-left-radius: 4px;\n}\n.list-group-item.disabled,\n.list-group-item.disabled:hover,\n.list-group-item.disabled:focus {\n  color: #777777;\n  cursor: not-allowed;\n  background-color: #eeeeee;\n}\n.list-group-item.disabled .list-group-item-heading,\n.list-group-item.disabled:hover .list-group-item-heading,\n.list-group-item.disabled:focus .list-group-item-heading {\n  color: inherit;\n}\n.list-group-item.disabled .list-group-item-text,\n.list-group-item.disabled:hover .list-group-item-text,\n.list-group-item.disabled:focus .list-group-item-text {\n  color: #777777;\n}\n.list-group-item.active,\n.list-group-item.active:hover,\n.list-group-item.active:focus {\n  z-index: 2;\n  color: #fff;\n  background-color: #337ab7;\n  border-color: #337ab7;\n}\n.list-group-item.active .list-group-item-heading,\n.list-group-item.active:hover .list-group-item-heading,\n.list-group-item.active:focus .list-group-item-heading,\n.list-group-item.active .list-group-item-heading > small,\n.list-group-item.active:hover .list-group-item-heading > small,\n.list-group-item.active:focus .list-group-item-heading > small,\n.list-group-item.active .list-group-item-heading > .small,\n.list-group-item.active:hover .list-group-item-heading > .small,\n.list-group-item.active:focus .list-group-item-heading > .small {\n  color: inherit;\n}\n.list-group-item.active .list-group-item-text,\n.list-group-item.active:hover .list-group-item-text,\n.list-group-item.active:focus .list-group-item-text {\n  color: #c7ddef;\n}\na.list-group-item,\nbutton.list-group-item {\n  color: #555;\n}\na.list-group-item .list-group-item-heading,\nbutton.list-group-item .list-group-item-heading {\n  color: #333;\n}\na.list-group-item:hover,\nbutton.list-group-item:hover,\na.list-group-item:focus,\nbutton.list-group-item:focus {\n  color: #555;\n  text-decoration: none;\n  background-color: #f5f5f5;\n}\nbutton.list-group-item {\n  width: 100%;\n  text-align: left;\n}\n.list-group-item-success {\n  color: #3c763d;\n  background-color: #dff0d8;\n}\na.list-group-item-success,\nbutton.list-group-item-success {\n  color: #3c763d;\n}\na.list-group-item-success .list-group-item-heading,\nbutton.list-group-item-success .list-group-item-heading {\n  color: inherit;\n}\na.list-group-item-success:hover,\nbutton.list-group-item-success:hover,\na.list-group-item-success:focus,\nbutton.list-group-item-success:focus {\n  color: #3c763d;\n  background-color: #d0e9c6;\n}\na.list-group-item-success.active,\nbutton.list-group-item-success.active,\na.list-group-item-success.active:hover,\nbutton.list-group-item-success.active:hover,\na.list-group-item-success.active:focus,\nbutton.list-group-item-success.active:focus {\n  color: #fff;\n  background-color: #3c763d;\n  border-color: #3c763d;\n}\n.list-group-item-info {\n  color: #31708f;\n  background-color: #d9edf7;\n}\na.list-group-item-info,\nbutton.list-group-item-info {\n  color: #31708f;\n}\na.list-group-item-info .list-group-item-heading,\nbutton.list-group-item-info .list-group-item-heading {\n  color: inherit;\n}\na.list-group-item-info:hover,\nbutton.list-group-item-info:hover,\na.list-group-item-info:focus,\nbutton.list-group-item-info:focus {\n  color: #31708f;\n  background-color: #c4e3f3;\n}\na.list-group-item-info.active,\nbutton.list-group-item-info.active,\na.list-group-item-info.active:hover,\nbutton.list-group-item-info.active:hover,\na.list-group-item-info.active:focus,\nbutton.list-group-item-info.active:focus {\n  color: #fff;\n  background-color: #31708f;\n  border-color: #31708f;\n}\n.list-group-item-warning {\n  color: #8a6d3b;\n  background-color: #fcf8e3;\n}\na.list-group-item-warning,\nbutton.list-group-item-warning {\n  color: #8a6d3b;\n}\na.list-group-item-warning .list-group-item-heading,\nbutton.list-group-item-warning .list-group-item-heading {\n  color: inherit;\n}\na.list-group-item-warning:hover,\nbutton.list-group-item-warning:hover,\na.list-group-item-warning:focus,\nbutton.list-group-item-warning:focus {\n  color: #8a6d3b;\n  background-color: #faf2cc;\n}\na.list-group-item-warning.active,\nbutton.list-group-item-warning.active,\na.list-group-item-warning.active:hover,\nbutton.list-group-item-warning.active:hover,\na.list-group-item-warning.active:focus,\nbutton.list-group-item-warning.active:focus {\n  color: #fff;\n  background-color: #8a6d3b;\n  border-color: #8a6d3b;\n}\n.list-group-item-danger {\n  color: #a94442;\n  background-color: #f2dede;\n}\na.list-group-item-danger,\nbutton.list-group-item-danger {\n  color: #a94442;\n}\na.list-group-item-danger .list-group-item-heading,\nbutton.list-group-item-danger .list-group-item-heading {\n  color: inherit;\n}\na.list-group-item-danger:hover,\nbutton.list-group-item-danger:hover,\na.list-group-item-danger:focus,\nbutton.list-group-item-danger:focus {\n  color: #a94442;\n  background-color: #ebcccc;\n}\na.list-group-item-danger.active,\nbutton.list-group-item-danger.active,\na.list-group-item-danger.active:hover,\nbutton.list-group-item-danger.active:hover,\na.list-group-item-danger.active:focus,\nbutton.list-group-item-danger.active:focus {\n  color: #fff;\n  background-color: #a94442;\n  border-color: #a94442;\n}\n.list-group-item-heading {\n  margin-top: 0;\n  margin-bottom: 5px;\n}\n.list-group-item-text {\n  margin-bottom: 0;\n  line-height: 1.3;\n}\n.panel {\n  margin-bottom: 20px;\n  background-color: #fff;\n  border: 1px solid transparent;\n  border-radius: 4px;\n  -webkit-box-shadow: 0 1px 1px rgba(0, 0, 0, 0.05);\n  box-shadow: 0 1px 1px rgba(0, 0, 0, 0.05);\n}\n.panel-body {\n  padding: 15px;\n}\n.panel-heading {\n  padding: 10px 15px;\n  border-bottom: 1px solid transparent;\n  border-top-left-radius: 3px;\n  border-top-right-radius: 3px;\n}\n.panel-heading > .dropdown .dropdown-toggle {\n  color: inherit;\n}\n.panel-title {\n  margin-top: 0;\n  margin-bottom: 0;\n  font-size: 16px;\n  color: inherit;\n}\n.panel-title > a,\n.panel-title > small,\n.panel-title > .small,\n.panel-title > small > a,\n.panel-title > .small > a {\n  color: inherit;\n}\n.panel-footer {\n  padding: 10px 15px;\n  background-color: #f5f5f5;\n  border-top: 1px solid #ddd;\n  border-bottom-right-radius: 3px;\n  border-bottom-left-radius: 3px;\n}\n.panel > .list-group,\n.panel > .panel-collapse > .list-group {\n  margin-bottom: 0;\n}\n.panel > .list-group .list-group-item,\n.panel > .panel-collapse > .list-group .list-group-item {\n  border-width: 1px 0;\n  border-radius: 0;\n}\n.panel > .list-group:first-child .list-group-item:first-child,\n.panel > .panel-collapse > .list-group:first-child .list-group-item:first-child {\n  border-top: 0;\n  border-top-left-radius: 3px;\n  border-top-right-radius: 3px;\n}\n.panel > .list-group:last-child .list-group-item:last-child,\n.panel > .panel-collapse > .list-group:last-child .list-group-item:last-child {\n  border-bottom: 0;\n  border-bottom-right-radius: 3px;\n  border-bottom-left-radius: 3px;\n}\n.panel > .panel-heading + .panel-collapse > .list-group .list-group-item:first-child {\n  border-top-left-radius: 0;\n  border-top-right-radius: 0;\n}\n.panel-heading + .list-group .list-group-item:first-child {\n  border-top-width: 0;\n}\n.list-group + .panel-footer {\n  border-top-width: 0;\n}\n.panel > .table,\n.panel > .table-responsive > .table,\n.panel > .panel-collapse > .table {\n  margin-bottom: 0;\n}\n.panel > .table caption,\n.panel > .table-responsive > .table caption,\n.panel > .panel-collapse > .table caption {\n  padding-right: 15px;\n  padding-left: 15px;\n}\n.panel > .table:first-child,\n.panel > .table-responsive:first-child > .table:first-child {\n  border-top-left-radius: 3px;\n  border-top-right-radius: 3px;\n}\n.panel > .table:first-child > thead:first-child > tr:first-child,\n.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child,\n.panel > .table:first-child > tbody:first-child > tr:first-child,\n.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child {\n  border-top-left-radius: 3px;\n  border-top-right-radius: 3px;\n}\n.panel > .table:first-child > thead:first-child > tr:first-child td:first-child,\n.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child td:first-child,\n.panel > .table:first-child > tbody:first-child > tr:first-child td:first-child,\n.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child td:first-child,\n.panel > .table:first-child > thead:first-child > tr:first-child th:first-child,\n.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child th:first-child,\n.panel > .table:first-child > tbody:first-child > tr:first-child th:first-child,\n.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child th:first-child {\n  border-top-left-radius: 3px;\n}\n.panel > .table:first-child > thead:first-child > tr:first-child td:last-child,\n.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child td:last-child,\n.panel > .table:first-child > tbody:first-child > tr:first-child td:last-child,\n.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child td:last-child,\n.panel > .table:first-child > thead:first-child > tr:first-child th:last-child,\n.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child th:last-child,\n.panel > .table:first-child > tbody:first-child > tr:first-child th:last-child,\n.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child th:last-child {\n  border-top-right-radius: 3px;\n}\n.panel > .table:last-child,\n.panel > .table-responsive:last-child > .table:last-child {\n  border-bottom-right-radius: 3px;\n  border-bottom-left-radius: 3px;\n}\n.panel > .table:last-child > tbody:last-child > tr:last-child,\n.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child,\n.panel > .table:last-child > tfoot:last-child > tr:last-child,\n.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child {\n  border-bottom-right-radius: 3px;\n  border-bottom-left-radius: 3px;\n}\n.panel > .table:last-child > tbody:last-child > tr:last-child td:first-child,\n.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child td:first-child,\n.panel > .table:last-child > tfoot:last-child > tr:last-child td:first-child,\n.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child td:first-child,\n.panel > .table:last-child > tbody:last-child > tr:last-child th:first-child,\n.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child th:first-child,\n.panel > .table:last-child > tfoot:last-child > tr:last-child th:first-child,\n.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child th:first-child {\n  border-bottom-left-radius: 3px;\n}\n.panel > .table:last-child > tbody:last-child > tr:last-child td:last-child,\n.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child td:last-child,\n.panel > .table:last-child > tfoot:last-child > tr:last-child td:last-child,\n.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child td:last-child,\n.panel > .table:last-child > tbody:last-child > tr:last-child th:last-child,\n.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child th:last-child,\n.panel > .table:last-child > tfoot:last-child > tr:last-child th:last-child,\n.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child th:last-child {\n  border-bottom-right-radius: 3px;\n}\n.panel > .panel-body + .table,\n.panel > .panel-body + .table-responsive,\n.panel > .table + .panel-body,\n.panel > .table-responsive + .panel-body {\n  border-top: 1px solid #ddd;\n}\n.panel > .table > tbody:first-child > tr:first-child th,\n.panel > .table > tbody:first-child > tr:first-child td {\n  border-top: 0;\n}\n.panel > .table-bordered,\n.panel > .table-responsive > .table-bordered {\n  border: 0;\n}\n.panel > .table-bordered > thead > tr > th:first-child,\n.panel > .table-responsive > .table-bordered > thead > tr > th:first-child,\n.panel > .table-bordered > tbody > tr > th:first-child,\n.panel > .table-responsive > .table-bordered > tbody > tr > th:first-child,\n.panel > .table-bordered > tfoot > tr > th:first-child,\n.panel > .table-responsive > .table-bordered > tfoot > tr > th:first-child,\n.panel > .table-bordered > thead > tr > td:first-child,\n.panel > .table-responsive > .table-bordered > thead > tr > td:first-child,\n.panel > .table-bordered > tbody > tr > td:first-child,\n.panel > .table-responsive > .table-bordered > tbody > tr > td:first-child,\n.panel > .table-bordered > tfoot > tr > td:first-child,\n.panel > .table-responsive > .table-bordered > tfoot > tr > td:first-child {\n  border-left: 0;\n}\n.panel > .table-bordered > thead > tr > th:last-child,\n.panel > .table-responsive > .table-bordered > thead > tr > th:last-child,\n.panel > .table-bordered > tbody > tr > th:last-child,\n.panel > .table-responsive > .table-bordered > tbody > tr > th:last-child,\n.panel > .table-bordered > tfoot > tr > th:last-child,\n.panel > .table-responsive > .table-bordered > tfoot > tr > th:last-child,\n.panel > .table-bordered > thead > tr > td:last-child,\n.panel > .table-responsive > .table-bordered > thead > tr > td:last-child,\n.panel > .table-bordered > tbody > tr > td:last-child,\n.panel > .table-responsive > .table-bordered > tbody > tr > td:last-child,\n.panel > .table-bordered > tfoot > tr > td:last-child,\n.panel > .table-responsive > .table-bordered > tfoot > tr > td:last-child {\n  border-right: 0;\n}\n.panel > .table-bordered > thead > tr:first-child > td,\n.panel > .table-responsive > .table-bordered > thead > tr:first-child > td,\n.panel > .table-bordered > tbody > tr:first-child > td,\n.panel > .table-responsive > .table-bordered > tbody > tr:first-child > td,\n.panel > .table-bordered > thead > tr:first-child > th,\n.panel > .table-responsive > .table-bordered > thead > tr:first-child > th,\n.panel > .table-bordered > tbody > tr:first-child > th,\n.panel > .table-responsive > .table-bordered > tbody > tr:first-child > th {\n  border-bottom: 0;\n}\n.panel > .table-bordered > tbody > tr:last-child > td,\n.panel > .table-responsive > .table-bordered > tbody > tr:last-child > td,\n.panel > .table-bordered > tfoot > tr:last-child > td,\n.panel > .table-responsive > .table-bordered > tfoot > tr:last-child > td,\n.panel > .table-bordered > tbody > tr:last-child > th,\n.panel > .table-responsive > .table-bordered > tbody > tr:last-child > th,\n.panel > .table-bordered > tfoot > tr:last-child > th,\n.panel > .table-responsive > .table-bordered > tfoot > tr:last-child > th {\n  border-bottom: 0;\n}\n.panel > .table-responsive {\n  margin-bottom: 0;\n  border: 0;\n}\n.panel-group {\n  margin-bottom: 20px;\n}\n.panel-group .panel {\n  margin-bottom: 0;\n  border-radius: 4px;\n}\n.panel-group .panel + .panel {\n  margin-top: 5px;\n}\n.panel-group .panel-heading {\n  border-bottom: 0;\n}\n.panel-group .panel-heading + .panel-collapse > .panel-body,\n.panel-group .panel-heading + .panel-collapse > .list-group {\n  border-top: 1px solid #ddd;\n}\n.panel-group .panel-footer {\n  border-top: 0;\n}\n.panel-group .panel-footer + .panel-collapse .panel-body {\n  border-bottom: 1px solid #ddd;\n}\n.panel-default {\n  border-color: #ddd;\n}\n.panel-default > .panel-heading {\n  color: #333333;\n  background-color: #f5f5f5;\n  border-color: #ddd;\n}\n.panel-default > .panel-heading + .panel-collapse > .panel-body {\n  border-top-color: #ddd;\n}\n.panel-default > .panel-heading .badge {\n  color: #f5f5f5;\n  background-color: #333333;\n}\n.panel-default > .panel-footer + .panel-collapse > .panel-body {\n  border-bottom-color: #ddd;\n}\n.panel-primary {\n  border-color: #337ab7;\n}\n.panel-primary > .panel-heading {\n  color: #fff;\n  background-color: #337ab7;\n  border-color: #337ab7;\n}\n.panel-primary > .panel-heading + .panel-collapse > .panel-body {\n  border-top-color: #337ab7;\n}\n.panel-primary > .panel-heading .badge {\n  color: #337ab7;\n  background-color: #fff;\n}\n.panel-primary > .panel-footer + .panel-collapse > .panel-body {\n  border-bottom-color: #337ab7;\n}\n.panel-success {\n  border-color: #d6e9c6;\n}\n.panel-success > .panel-heading {\n  color: #3c763d;\n  background-color: #dff0d8;\n  border-color: #d6e9c6;\n}\n.panel-success > .panel-heading + .panel-collapse > .panel-body {\n  border-top-color: #d6e9c6;\n}\n.panel-success > .panel-heading .badge {\n  color: #dff0d8;\n  background-color: #3c763d;\n}\n.panel-success > .panel-footer + .panel-collapse > .panel-body {\n  border-bottom-color: #d6e9c6;\n}\n.panel-info {\n  border-color: #bce8f1;\n}\n.panel-info > .panel-heading {\n  color: #31708f;\n  background-color: #d9edf7;\n  border-color: #bce8f1;\n}\n.panel-info > .panel-heading + .panel-collapse > .panel-body {\n  border-top-color: #bce8f1;\n}\n.panel-info > .panel-heading .badge {\n  color: #d9edf7;\n  background-color: #31708f;\n}\n.panel-info > .panel-footer + .panel-collapse > .panel-body {\n  border-bottom-color: #bce8f1;\n}\n.panel-warning {\n  border-color: #faebcc;\n}\n.panel-warning > .panel-heading {\n  color: #8a6d3b;\n  background-color: #fcf8e3;\n  border-color: #faebcc;\n}\n.panel-warning > .panel-heading + .panel-collapse > .panel-body {\n  border-top-color: #faebcc;\n}\n.panel-warning > .panel-heading .badge {\n  color: #fcf8e3;\n  background-color: #8a6d3b;\n}\n.panel-warning > .panel-footer + .panel-collapse > .panel-body {\n  border-bottom-color: #faebcc;\n}\n.panel-danger {\n  border-color: #ebccd1;\n}\n.panel-danger > .panel-heading {\n  color: #a94442;\n  background-color: #f2dede;\n  border-color: #ebccd1;\n}\n.panel-danger > .panel-heading + .panel-collapse > .panel-body {\n  border-top-color: #ebccd1;\n}\n.panel-danger > .panel-heading .badge {\n  color: #f2dede;\n  background-color: #a94442;\n}\n.panel-danger > .panel-footer + .panel-collapse > .panel-body {\n  border-bottom-color: #ebccd1;\n}\n.embed-responsive {\n  position: relative;\n  display: block;\n  height: 0;\n  padding: 0;\n  overflow: hidden;\n}\n.embed-responsive .embed-responsive-item,\n.embed-responsive iframe,\n.embed-responsive embed,\n.embed-responsive object,\n.embed-responsive video {\n  position: absolute;\n  top: 0;\n  bottom: 0;\n  left: 0;\n  width: 100%;\n  height: 100%;\n  border: 0;\n}\n.embed-responsive-16by9 {\n  padding-bottom: 56.25%;\n}\n.embed-responsive-4by3 {\n  padding-bottom: 75%;\n}\n.well {\n  min-height: 20px;\n  padding: 19px;\n  margin-bottom: 20px;\n  background-color: #f5f5f5;\n  border: 1px solid #e3e3e3;\n  border-radius: 4px;\n  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);\n  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);\n}\n.well blockquote {\n  border-color: #ddd;\n  border-color: rgba(0, 0, 0, 0.15);\n}\n.well-lg {\n  padding: 24px;\n  border-radius: 6px;\n}\n.well-sm {\n  padding: 9px;\n  border-radius: 3px;\n}\n.close {\n  float: right;\n  font-size: 21px;\n  font-weight: bold;\n  line-height: 1;\n  color: #000;\n  text-shadow: 0 1px 0 #fff;\n  filter: alpha(opacity=20);\n  opacity: 0.2;\n}\n.close:hover,\n.close:focus {\n  color: #000;\n  text-decoration: none;\n  cursor: pointer;\n  filter: alpha(opacity=50);\n  opacity: 0.5;\n}\nbutton.close {\n  padding: 0;\n  cursor: pointer;\n  background: transparent;\n  border: 0;\n  -webkit-appearance: none;\n  appearance: none;\n}\n.modal-open {\n  overflow: hidden;\n}\n.modal {\n  position: fixed;\n  top: 0;\n  right: 0;\n  bottom: 0;\n  left: 0;\n  z-index: 1050;\n  display: none;\n  overflow: hidden;\n  -webkit-overflow-scrolling: touch;\n  outline: 0;\n}\n.modal.fade .modal-dialog {\n  -webkit-transform: translate(0, -25%);\n  -ms-transform: translate(0, -25%);\n  -o-transform: translate(0, -25%);\n  transform: translate(0, -25%);\n  -webkit-transition: -webkit-transform 0.3s ease-out;\n  -moz-transition: -moz-transform 0.3s ease-out;\n  -o-transition: -o-transform 0.3s ease-out;\n  transition: transform 0.3s ease-out;\n}\n.modal.in .modal-dialog {\n  -webkit-transform: translate(0, 0);\n  -ms-transform: translate(0, 0);\n  -o-transform: translate(0, 0);\n  transform: translate(0, 0);\n}\n.modal-open .modal {\n  overflow-x: hidden;\n  overflow-y: auto;\n}\n.modal-dialog {\n  position: relative;\n  width: auto;\n  margin: 10px;\n}\n.modal-content {\n  position: relative;\n  background-color: #fff;\n  background-clip: padding-box;\n  border: 1px solid #999;\n  border: 1px solid rgba(0, 0, 0, 0.2);\n  border-radius: 6px;\n  -webkit-box-shadow: 0 3px 9px rgba(0, 0, 0, 0.5);\n  box-shadow: 0 3px 9px rgba(0, 0, 0, 0.5);\n  outline: 0;\n}\n.modal-backdrop {\n  position: fixed;\n  top: 0;\n  right: 0;\n  bottom: 0;\n  left: 0;\n  z-index: 1040;\n  background-color: #000;\n}\n.modal-backdrop.fade {\n  filter: alpha(opacity=0);\n  opacity: 0;\n}\n.modal-backdrop.in {\n  filter: alpha(opacity=50);\n  opacity: 0.5;\n}\n.modal-header {\n  padding: 15px;\n  border-bottom: 1px solid #e5e5e5;\n}\n.modal-header .close {\n  margin-top: -2px;\n}\n.modal-title {\n  margin: 0;\n  line-height: 1.42857143;\n}\n.modal-body {\n  position: relative;\n  padding: 15px;\n}\n.modal-footer {\n  padding: 15px;\n  text-align: right;\n  border-top: 1px solid #e5e5e5;\n}\n.modal-footer .btn + .btn {\n  margin-bottom: 0;\n  margin-left: 5px;\n}\n.modal-footer .btn-group .btn + .btn {\n  margin-left: -1px;\n}\n.modal-footer .btn-block + .btn-block {\n  margin-left: 0;\n}\n.modal-scrollbar-measure {\n  position: absolute;\n  top: -9999px;\n  width: 50px;\n  height: 50px;\n  overflow: scroll;\n}\n@media (min-width: 768px) {\n  .modal-dialog {\n    width: 600px;\n    margin: 30px auto;\n  }\n  .modal-content {\n    -webkit-box-shadow: 0 5px 15px rgba(0, 0, 0, 0.5);\n    box-shadow: 0 5px 15px rgba(0, 0, 0, 0.5);\n  }\n  .modal-sm {\n    width: 300px;\n  }\n}\n@media (min-width: 992px) {\n  .modal-lg {\n    width: 900px;\n  }\n}\n.tooltip {\n  position: absolute;\n  z-index: 1070;\n  display: block;\n  font-family: \"Helvetica Neue\", Helvetica, Arial, sans-serif;\n  font-style: normal;\n  font-weight: 400;\n  line-height: 1.42857143;\n  line-break: auto;\n  text-align: left;\n  text-align: start;\n  text-decoration: none;\n  text-shadow: none;\n  text-transform: none;\n  letter-spacing: normal;\n  word-break: normal;\n  word-spacing: normal;\n  word-wrap: normal;\n  white-space: normal;\n  font-size: 12px;\n  filter: alpha(opacity=0);\n  opacity: 0;\n}\n.tooltip.in {\n  filter: alpha(opacity=90);\n  opacity: 0.9;\n}\n.tooltip.top {\n  padding: 5px 0;\n  margin-top: -3px;\n}\n.tooltip.right {\n  padding: 0 5px;\n  margin-left: 3px;\n}\n.tooltip.bottom {\n  padding: 5px 0;\n  margin-top: 3px;\n}\n.tooltip.left {\n  padding: 0 5px;\n  margin-left: -3px;\n}\n.tooltip.top .tooltip-arrow {\n  bottom: 0;\n  left: 50%;\n  margin-left: -5px;\n  border-width: 5px 5px 0;\n  border-top-color: #000;\n}\n.tooltip.top-left .tooltip-arrow {\n  right: 5px;\n  bottom: 0;\n  margin-bottom: -5px;\n  border-width: 5px 5px 0;\n  border-top-color: #000;\n}\n.tooltip.top-right .tooltip-arrow {\n  bottom: 0;\n  left: 5px;\n  margin-bottom: -5px;\n  border-width: 5px 5px 0;\n  border-top-color: #000;\n}\n.tooltip.right .tooltip-arrow {\n  top: 50%;\n  left: 0;\n  margin-top: -5px;\n  border-width: 5px 5px 5px 0;\n  border-right-color: #000;\n}\n.tooltip.left .tooltip-arrow {\n  top: 50%;\n  right: 0;\n  margin-top: -5px;\n  border-width: 5px 0 5px 5px;\n  border-left-color: #000;\n}\n.tooltip.bottom .tooltip-arrow {\n  top: 0;\n  left: 50%;\n  margin-left: -5px;\n  border-width: 0 5px 5px;\n  border-bottom-color: #000;\n}\n.tooltip.bottom-left .tooltip-arrow {\n  top: 0;\n  right: 5px;\n  margin-top: -5px;\n  border-width: 0 5px 5px;\n  border-bottom-color: #000;\n}\n.tooltip.bottom-right .tooltip-arrow {\n  top: 0;\n  left: 5px;\n  margin-top: -5px;\n  border-width: 0 5px 5px;\n  border-bottom-color: #000;\n}\n.tooltip-inner {\n  max-width: 200px;\n  padding: 3px 8px;\n  color: #fff;\n  text-align: center;\n  background-color: #000;\n  border-radius: 4px;\n}\n.tooltip-arrow {\n  position: absolute;\n  width: 0;\n  height: 0;\n  border-color: transparent;\n  border-style: solid;\n}\n.popover {\n  position: absolute;\n  top: 0;\n  left: 0;\n  z-index: 1060;\n  display: none;\n  max-width: 276px;\n  padding: 1px;\n  font-family: \"Helvetica Neue\", Helvetica, Arial, sans-serif;\n  font-style: normal;\n  font-weight: 400;\n  line-height: 1.42857143;\n  line-break: auto;\n  text-align: left;\n  text-align: start;\n  text-decoration: none;\n  text-shadow: none;\n  text-transform: none;\n  letter-spacing: normal;\n  word-break: normal;\n  word-spacing: normal;\n  word-wrap: normal;\n  white-space: normal;\n  font-size: 14px;\n  background-color: #fff;\n  background-clip: padding-box;\n  border: 1px solid #ccc;\n  border: 1px solid rgba(0, 0, 0, 0.2);\n  border-radius: 6px;\n  -webkit-box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);\n  box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);\n}\n.popover.top {\n  margin-top: -10px;\n}\n.popover.right {\n  margin-left: 10px;\n}\n.popover.bottom {\n  margin-top: 10px;\n}\n.popover.left {\n  margin-left: -10px;\n}\n.popover > .arrow {\n  border-width: 11px;\n}\n.popover > .arrow,\n.popover > .arrow:after {\n  position: absolute;\n  display: block;\n  width: 0;\n  height: 0;\n  border-color: transparent;\n  border-style: solid;\n}\n.popover > .arrow:after {\n  content: \"\";\n  border-width: 10px;\n}\n.popover.top > .arrow {\n  bottom: -11px;\n  left: 50%;\n  margin-left: -11px;\n  border-top-color: #999999;\n  border-top-color: rgba(0, 0, 0, 0.25);\n  border-bottom-width: 0;\n}\n.popover.top > .arrow:after {\n  bottom: 1px;\n  margin-left: -10px;\n  content: \" \";\n  border-top-color: #fff;\n  border-bottom-width: 0;\n}\n.popover.right > .arrow {\n  top: 50%;\n  left: -11px;\n  margin-top: -11px;\n  border-right-color: #999999;\n  border-right-color: rgba(0, 0, 0, 0.25);\n  border-left-width: 0;\n}\n.popover.right > .arrow:after {\n  bottom: -10px;\n  left: 1px;\n  content: \" \";\n  border-right-color: #fff;\n  border-left-width: 0;\n}\n.popover.bottom > .arrow {\n  top: -11px;\n  left: 50%;\n  margin-left: -11px;\n  border-top-width: 0;\n  border-bottom-color: #999999;\n  border-bottom-color: rgba(0, 0, 0, 0.25);\n}\n.popover.bottom > .arrow:after {\n  top: 1px;\n  margin-left: -10px;\n  content: \" \";\n  border-top-width: 0;\n  border-bottom-color: #fff;\n}\n.popover.left > .arrow {\n  top: 50%;\n  right: -11px;\n  margin-top: -11px;\n  border-right-width: 0;\n  border-left-color: #999999;\n  border-left-color: rgba(0, 0, 0, 0.25);\n}\n.popover.left > .arrow:after {\n  right: 1px;\n  bottom: -10px;\n  content: \" \";\n  border-right-width: 0;\n  border-left-color: #fff;\n}\n.popover-title {\n  padding: 8px 14px;\n  margin: 0;\n  font-size: 14px;\n  background-color: #f7f7f7;\n  border-bottom: 1px solid #ebebeb;\n  border-radius: 5px 5px 0 0;\n}\n.popover-content {\n  padding: 9px 14px;\n}\n.carousel {\n  position: relative;\n}\n.carousel-inner {\n  position: relative;\n  width: 100%;\n  overflow: hidden;\n}\n.carousel-inner > .item {\n  position: relative;\n  display: none;\n  -webkit-transition: 0.6s ease-in-out left;\n  -o-transition: 0.6s ease-in-out left;\n  transition: 0.6s ease-in-out left;\n}\n.carousel-inner > .item > img,\n.carousel-inner > .item > a > img {\n  line-height: 1;\n}\n@media all and (transform-3d), (-webkit-transform-3d) {\n  .carousel-inner > .item {\n    -webkit-transition: -webkit-transform 0.6s ease-in-out;\n    -moz-transition: -moz-transform 0.6s ease-in-out;\n    -o-transition: -o-transform 0.6s ease-in-out;\n    transition: transform 0.6s ease-in-out;\n    -webkit-backface-visibility: hidden;\n    -moz-backface-visibility: hidden;\n    backface-visibility: hidden;\n    -webkit-perspective: 1000px;\n    -moz-perspective: 1000px;\n    perspective: 1000px;\n  }\n  .carousel-inner > .item.next,\n  .carousel-inner > .item.active.right {\n    -webkit-transform: translate3d(100%, 0, 0);\n    transform: translate3d(100%, 0, 0);\n    left: 0;\n  }\n  .carousel-inner > .item.prev,\n  .carousel-inner > .item.active.left {\n    -webkit-transform: translate3d(-100%, 0, 0);\n    transform: translate3d(-100%, 0, 0);\n    left: 0;\n  }\n  .carousel-inner > .item.next.left,\n  .carousel-inner > .item.prev.right,\n  .carousel-inner > .item.active {\n    -webkit-transform: translate3d(0, 0, 0);\n    transform: translate3d(0, 0, 0);\n    left: 0;\n  }\n}\n.carousel-inner > .active,\n.carousel-inner > .next,\n.carousel-inner > .prev {\n  display: block;\n}\n.carousel-inner > .active {\n  left: 0;\n}\n.carousel-inner > .next,\n.carousel-inner > .prev {\n  position: absolute;\n  top: 0;\n  width: 100%;\n}\n.carousel-inner > .next {\n  left: 100%;\n}\n.carousel-inner > .prev {\n  left: -100%;\n}\n.carousel-inner > .next.left,\n.carousel-inner > .prev.right {\n  left: 0;\n}\n.carousel-inner > .active.left {\n  left: -100%;\n}\n.carousel-inner > .active.right {\n  left: 100%;\n}\n.carousel-control {\n  position: absolute;\n  top: 0;\n  bottom: 0;\n  left: 0;\n  width: 15%;\n  font-size: 20px;\n  color: #fff;\n  text-align: center;\n  text-shadow: 0 1px 2px rgba(0, 0, 0, 0.6);\n  background-color: rgba(0, 0, 0, 0);\n  filter: alpha(opacity=50);\n  opacity: 0.5;\n}\n.carousel-control.left {\n  background-image: -webkit-linear-gradient(left, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);\n  background-image: -o-linear-gradient(left, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);\n  background-image: linear-gradient(to right, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#80000000', endColorstr='#00000000', GradientType=1);\n  background-repeat: repeat-x;\n}\n.carousel-control.right {\n  right: 0;\n  left: auto;\n  background-image: -webkit-linear-gradient(left, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);\n  background-image: -o-linear-gradient(left, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);\n  background-image: linear-gradient(to right, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#00000000', endColorstr='#80000000', GradientType=1);\n  background-repeat: repeat-x;\n}\n.carousel-control:hover,\n.carousel-control:focus {\n  color: #fff;\n  text-decoration: none;\n  outline: 0;\n  filter: alpha(opacity=90);\n  opacity: 0.9;\n}\n.carousel-control .icon-prev,\n.carousel-control .icon-next,\n.carousel-control .glyphicon-chevron-left,\n.carousel-control .glyphicon-chevron-right {\n  position: absolute;\n  top: 50%;\n  z-index: 5;\n  display: inline-block;\n  margin-top: -10px;\n}\n.carousel-control .icon-prev,\n.carousel-control .glyphicon-chevron-left {\n  left: 50%;\n  margin-left: -10px;\n}\n.carousel-control .icon-next,\n.carousel-control .glyphicon-chevron-right {\n  right: 50%;\n  margin-right: -10px;\n}\n.carousel-control .icon-prev,\n.carousel-control .icon-next {\n  width: 20px;\n  height: 20px;\n  font-family: serif;\n  line-height: 1;\n}\n.carousel-control .icon-prev:before {\n  content: \"\\2039\";\n}\n.carousel-control .icon-next:before {\n  content: \"\\203a\";\n}\n.carousel-indicators {\n  position: absolute;\n  bottom: 10px;\n  left: 50%;\n  z-index: 15;\n  width: 60%;\n  padding-left: 0;\n  margin-left: -30%;\n  text-align: center;\n  list-style: none;\n}\n.carousel-indicators li {\n  display: inline-block;\n  width: 10px;\n  height: 10px;\n  margin: 1px;\n  text-indent: -999px;\n  cursor: pointer;\n  background-color: #000 \\9;\n  background-color: rgba(0, 0, 0, 0);\n  border: 1px solid #fff;\n  border-radius: 10px;\n}\n.carousel-indicators .active {\n  width: 12px;\n  height: 12px;\n  margin: 0;\n  background-color: #fff;\n}\n.carousel-caption {\n  position: absolute;\n  right: 15%;\n  bottom: 20px;\n  left: 15%;\n  z-index: 10;\n  padding-top: 20px;\n  padding-bottom: 20px;\n  color: #fff;\n  text-align: center;\n  text-shadow: 0 1px 2px rgba(0, 0, 0, 0.6);\n}\n.carousel-caption .btn {\n  text-shadow: none;\n}\n@media screen and (min-width: 768px) {\n  .carousel-control .glyphicon-chevron-left,\n  .carousel-control .glyphicon-chevron-right,\n  .carousel-control .icon-prev,\n  .carousel-control .icon-next {\n    width: 30px;\n    height: 30px;\n    margin-top: -10px;\n    font-size: 30px;\n  }\n  .carousel-control .glyphicon-chevron-left,\n  .carousel-control .icon-prev {\n    margin-left: -10px;\n  }\n  .carousel-control .glyphicon-chevron-right,\n  .carousel-control .icon-next {\n    margin-right: -10px;\n  }\n  .carousel-caption {\n    right: 20%;\n    left: 20%;\n    padding-bottom: 30px;\n  }\n  .carousel-indicators {\n    bottom: 20px;\n  }\n}\n.clearfix:before,\n.clearfix:after,\n.dl-horizontal dd:before,\n.dl-horizontal dd:after,\n.container:before,\n.container:after,\n.container-fluid:before,\n.container-fluid:after,\n.row:before,\n.row:after,\n.form-horizontal .form-group:before,\n.form-horizontal .form-group:after,\n.btn-toolbar:before,\n.btn-toolbar:after,\n.btn-group-vertical > .btn-group:before,\n.btn-group-vertical > .btn-group:after,\n.nav:before,\n.nav:after,\n.navbar:before,\n.navbar:after,\n.navbar-header:before,\n.navbar-header:after,\n.navbar-collapse:before,\n.navbar-collapse:after,\n.pager:before,\n.pager:after,\n.panel-body:before,\n.panel-body:after,\n.modal-header:before,\n.modal-header:after,\n.modal-footer:before,\n.modal-footer:after {\n  display: table;\n  content: \" \";\n}\n.clearfix:after,\n.dl-horizontal dd:after,\n.container:after,\n.container-fluid:after,\n.row:after,\n.form-horizontal .form-group:after,\n.btn-toolbar:after,\n.btn-group-vertical > .btn-group:after,\n.nav:after,\n.navbar:after,\n.navbar-header:after,\n.navbar-collapse:after,\n.pager:after,\n.panel-body:after,\n.modal-header:after,\n.modal-footer:after {\n  clear: both;\n}\n.center-block {\n  display: block;\n  margin-right: auto;\n  margin-left: auto;\n}\n.pull-right {\n  float: right !important;\n}\n.pull-left {\n  float: left !important;\n}\n.hide {\n  display: none !important;\n}\n.show {\n  display: block !important;\n}\n.invisible {\n  visibility: hidden;\n}\n.text-hide {\n  font: 0/0 a;\n  color: transparent;\n  text-shadow: none;\n  background-color: transparent;\n  border: 0;\n}\n.hidden {\n  display: none !important;\n}\n.affix {\n  position: fixed;\n}\n@-ms-viewport {\n  width: device-width;\n}\n.visible-xs,\n.visible-sm,\n.visible-md,\n.visible-lg {\n  display: none !important;\n}\n.visible-xs-block,\n.visible-xs-inline,\n.visible-xs-inline-block,\n.visible-sm-block,\n.visible-sm-inline,\n.visible-sm-inline-block,\n.visible-md-block,\n.visible-md-inline,\n.visible-md-inline-block,\n.visible-lg-block,\n.visible-lg-inline,\n.visible-lg-inline-block {\n  display: none !important;\n}\n@media (max-width: 767px) {\n  .visible-xs {\n    display: block !important;\n  }\n  table.visible-xs {\n    display: table !important;\n  }\n  tr.visible-xs {\n    display: table-row !important;\n  }\n  th.visible-xs,\n  td.visible-xs {\n    display: table-cell !important;\n  }\n}\n@media (max-width: 767px) {\n  .visible-xs-block {\n    display: block !important;\n  }\n}\n@media (max-width: 767px) {\n  .visible-xs-inline {\n    display: inline !important;\n  }\n}\n@media (max-width: 767px) {\n  .visible-xs-inline-block {\n    display: inline-block !important;\n  }\n}\n@media (min-width: 768px) and (max-width: 991px) {\n  .visible-sm {\n    display: block !important;\n  }\n  table.visible-sm {\n    display: table !important;\n  }\n  tr.visible-sm {\n    display: table-row !important;\n  }\n  th.visible-sm,\n  td.visible-sm {\n    display: table-cell !important;\n  }\n}\n@media (min-width: 768px) and (max-width: 991px) {\n  .visible-sm-block {\n    display: block !important;\n  }\n}\n@media (min-width: 768px) and (max-width: 991px) {\n  .visible-sm-inline {\n    display: inline !important;\n  }\n}\n@media (min-width: 768px) and (max-width: 991px) {\n  .visible-sm-inline-block {\n    display: inline-block !important;\n  }\n}\n@media (min-width: 992px) and (max-width: 1199px) {\n  .visible-md {\n    display: block !important;\n  }\n  table.visible-md {\n    display: table !important;\n  }\n  tr.visible-md {\n    display: table-row !important;\n  }\n  th.visible-md,\n  td.visible-md {\n    display: table-cell !important;\n  }\n}\n@media (min-width: 992px) and (max-width: 1199px) {\n  .visible-md-block {\n    display: block !important;\n  }\n}\n@media (min-width: 992px) and (max-width: 1199px) {\n  .visible-md-inline {\n    display: inline !important;\n  }\n}\n@media (min-width: 992px) and (max-width: 1199px) {\n  .visible-md-inline-block {\n    display: inline-block !important;\n  }\n}\n@media (min-width: 1200px) {\n  .visible-lg {\n    display: block !important;\n  }\n  table.visible-lg {\n    display: table !important;\n  }\n  tr.visible-lg {\n    display: table-row !important;\n  }\n  th.visible-lg,\n  td.visible-lg {\n    display: table-cell !important;\n  }\n}\n@media (min-width: 1200px) {\n  .visible-lg-block {\n    display: block !important;\n  }\n}\n@media (min-width: 1200px) {\n  .visible-lg-inline {\n    display: inline !important;\n  }\n}\n@media (min-width: 1200px) {\n  .visible-lg-inline-block {\n    display: inline-block !important;\n  }\n}\n@media (max-width: 767px) {\n  .hidden-xs {\n    display: none !important;\n  }\n}\n@media (min-width: 768px) and (max-width: 991px) {\n  .hidden-sm {\n    display: none !important;\n  }\n}\n@media (min-width: 992px) and (max-width: 1199px) {\n  .hidden-md {\n    display: none !important;\n  }\n}\n@media (min-width: 1200px) {\n  .hidden-lg {\n    display: none !important;\n  }\n}\n.visible-print {\n  display: none !important;\n}\n@media print {\n  .visible-print {\n    display: block !important;\n  }\n  table.visible-print {\n    display: table !important;\n  }\n  tr.visible-print {\n    display: table-row !important;\n  }\n  th.visible-print,\n  td.visible-print {\n    display: table-cell !important;\n  }\n}\n.visible-print-block {\n  display: none !important;\n}\n@media print {\n  .visible-print-block {\n    display: block !important;\n  }\n}\n.visible-print-inline {\n  display: none !important;\n}\n@media print {\n  .visible-print-inline {\n    display: inline !important;\n  }\n}\n.visible-print-inline-block {\n  display: none !important;\n}\n@media print {\n  .visible-print-inline-block {\n    display: inline-block !important;\n  }\n}\n@media print {\n  .hidden-print {\n    display: none !important;\n  }\n}\n/*# sourceMappingURL=bootstrap.css.map */","// stylelint-disable\n\n/*! normalize.css v3.0.3 | MIT License | github.com/necolas/normalize.css */\n\n//\n// 1. Set default font family to sans-serif.\n// 2. Prevent iOS and IE text size adjust after device orientation change,\n//    without disabling user zoom.\n//\n\nhtml {\n  font-family: sans-serif; // 1\n  -ms-text-size-adjust: 100%; // 2\n  -webkit-text-size-adjust: 100%; // 2\n}\n\n//\n// Remove default margin.\n//\n\nbody {\n  margin: 0;\n}\n\n// HTML5 display definitions\n// ==========================================================================\n\n//\n// Correct `block` display not defined for any HTML5 element in IE 8/9.\n// Correct `block` display not defined for `details` or `summary` in IE 10/11\n// and Firefox.\n// Correct `block` display not defined for `main` in IE 11.\n//\n\narticle,\naside,\ndetails,\nfigcaption,\nfigure,\nfooter,\nheader,\nhgroup,\nmain,\nmenu,\nnav,\nsection,\nsummary {\n  display: block;\n}\n\n//\n// 1. Correct `inline-block` display not defined in IE 8/9.\n// 2. Normalize vertical alignment of `progress` in Chrome, Firefox, and Opera.\n//\n\naudio,\ncanvas,\nprogress,\nvideo {\n  display: inline-block; // 1\n  vertical-align: baseline; // 2\n}\n\n//\n// Prevent modern browsers from displaying `audio` without controls.\n// Remove excess height in iOS 5 devices.\n//\n\naudio:not([controls]) {\n  display: none;\n  height: 0;\n}\n\n//\n// Address `[hidden]` styling not present in IE 8/9/10.\n// Hide the `template` element in IE 8/9/10/11, Safari, and Firefox < 22.\n//\n\n[hidden],\ntemplate {\n  display: none;\n}\n\n// Links\n// ==========================================================================\n\n//\n// Remove the gray background color from active links in IE 10.\n//\n\na {\n  background-color: transparent;\n}\n\n//\n// Improve readability of focused elements when they are also in an\n// active/hover state.\n//\n\na:active,\na:hover {\n  outline: 0;\n}\n\n// Text-level semantics\n// ==========================================================================\n\n//\n// 1. Remove the bottom border in Chrome 57- and Firefox 39-.\n// 2. Add the correct text decoration in Chrome, Edge, IE, Opera, and Safari.\n//\n\nabbr[title] {\n  border-bottom: none; // 1\n  text-decoration: underline; // 2\n  text-decoration: underline dotted; // 2\n}\n\n//\n// Address style set to `bolder` in Firefox 4+, Safari, and Chrome.\n//\n\nb,\nstrong {\n  font-weight: bold;\n}\n\n//\n// Address styling not present in Safari and Chrome.\n//\n\ndfn {\n  font-style: italic;\n}\n\n//\n// Address variable `h1` font-size and margin within `section` and `article`\n// contexts in Firefox 4+, Safari, and Chrome.\n//\n\nh1 {\n  font-size: 2em;\n  margin: 0.67em 0;\n}\n\n//\n// Address styling not present in IE 8/9.\n//\n\nmark {\n  background: #ff0;\n  color: #000;\n}\n\n//\n// Address inconsistent and variable font size in all browsers.\n//\n\nsmall {\n  font-size: 80%;\n}\n\n//\n// Prevent `sub` and `sup` affecting `line-height` in all browsers.\n//\n\nsub,\nsup {\n  font-size: 75%;\n  line-height: 0;\n  position: relative;\n  vertical-align: baseline;\n}\n\nsup {\n  top: -0.5em;\n}\n\nsub {\n  bottom: -0.25em;\n}\n\n// Embedded content\n// ==========================================================================\n\n//\n// Remove border when inside `a` element in IE 8/9/10.\n//\n\nimg {\n  border: 0;\n}\n\n//\n// Correct overflow not hidden in IE 9/10/11.\n//\n\nsvg:not(:root) {\n  overflow: hidden;\n}\n\n// Grouping content\n// ==========================================================================\n\n//\n// Address margin not present in IE 8/9 and Safari.\n//\n\nfigure {\n  margin: 1em 40px;\n}\n\n//\n// Address differences between Firefox and other browsers.\n//\n\nhr {\n  box-sizing: content-box;\n  height: 0;\n}\n\n//\n// Contain overflow in all browsers.\n//\n\npre {\n  overflow: auto;\n}\n\n//\n// Address odd `em`-unit font size rendering in all browsers.\n//\n\ncode,\nkbd,\npre,\nsamp {\n  font-family: monospace, monospace;\n  font-size: 1em;\n}\n\n// Forms\n// ==========================================================================\n\n//\n// Known limitation: by default, Chrome and Safari on OS X allow very limited\n// styling of `select`, unless a `border` property is set.\n//\n\n//\n// 1. Correct color not being inherited.\n//    Known issue: affects color of disabled elements.\n// 2. Correct font properties not being inherited.\n// 3. Address margins set differently in Firefox 4+, Safari, and Chrome.\n//\n\nbutton,\ninput,\noptgroup,\nselect,\ntextarea {\n  color: inherit; // 1\n  font: inherit; // 2\n  margin: 0; // 3\n}\n\n//\n// Address `overflow` set to `hidden` in IE 8/9/10/11.\n//\n\nbutton {\n  overflow: visible;\n}\n\n//\n// Address inconsistent `text-transform` inheritance for `button` and `select`.\n// All other form control elements do not inherit `text-transform` values.\n// Correct `button` style inheritance in Firefox, IE 8/9/10/11, and Opera.\n// Correct `select` style inheritance in Firefox.\n//\n\nbutton,\nselect {\n  text-transform: none;\n}\n\n//\n// 1. Avoid the WebKit bug in Android 4.0.* where (2) destroys native `audio`\n//    and `video` controls.\n// 2. Correct inability to style clickable `input` types in iOS.\n// 3. Improve usability and consistency of cursor style between image-type\n//    `input` and others.\n//\n\nbutton,\nhtml input[type=\"button\"], // 1\ninput[type=\"reset\"],\ninput[type=\"submit\"] {\n  -webkit-appearance: button; // 2\n  cursor: pointer; // 3\n}\n\n//\n// Re-set default cursor for disabled elements.\n//\n\nbutton[disabled],\nhtml input[disabled] {\n  cursor: default;\n}\n\n//\n// Remove inner padding and border in Firefox 4+.\n//\n\nbutton::-moz-focus-inner,\ninput::-moz-focus-inner {\n  border: 0;\n  padding: 0;\n}\n\n//\n// Address Firefox 4+ setting `line-height` on `input` using `!important` in\n// the UA stylesheet.\n//\n\ninput {\n  line-height: normal;\n}\n\n//\n// It's recommended that you don't attempt to style these elements.\n// Firefox's implementation doesn't respect box-sizing, padding, or width.\n//\n// 1. Address box sizing set to `content-box` in IE 8/9/10.\n// 2. Remove excess padding in IE 8/9/10.\n//\n\ninput[type=\"checkbox\"],\ninput[type=\"radio\"] {\n  box-sizing: border-box; // 1\n  padding: 0; // 2\n}\n\n//\n// Fix the cursor style for Chrome's increment/decrement buttons. For certain\n// `font-size` values of the `input`, it causes the cursor style of the\n// decrement button to change from `default` to `text`.\n//\n\ninput[type=\"number\"]::-webkit-inner-spin-button,\ninput[type=\"number\"]::-webkit-outer-spin-button {\n  height: auto;\n}\n\n//\n// 1. Address `appearance` set to `searchfield` in Safari and Chrome.\n// 2. Address `box-sizing` set to `border-box` in Safari and Chrome.\n//\n\ninput[type=\"search\"] {\n  -webkit-appearance: textfield; // 1\n  box-sizing: content-box; //2\n}\n\n//\n// Remove inner padding and search cancel button in Safari and Chrome on OS X.\n// Safari (but not Chrome) clips the cancel button when the search input has\n// padding (and `textfield` appearance).\n//\n\ninput[type=\"search\"]::-webkit-search-cancel-button,\ninput[type=\"search\"]::-webkit-search-decoration {\n  -webkit-appearance: none;\n}\n\n//\n// Define consistent border, margin, and padding.\n//\n\nfieldset {\n  border: 1px solid #c0c0c0;\n  margin: 0 2px;\n  padding: 0.35em 0.625em 0.75em;\n}\n\n//\n// 1. Correct `color` not being inherited in IE 8/9/10/11.\n// 2. Remove padding so people aren't caught out if they zero out fieldsets.\n//\n\nlegend {\n  border: 0; // 1\n  padding: 0; // 2\n}\n\n//\n// Remove default vertical scrollbar in IE 8/9/10/11.\n//\n\ntextarea {\n  overflow: auto;\n}\n\n//\n// Don't inherit the `font-weight` (applied by a rule above).\n// NOTE: the default cannot safely be changed in Chrome and Safari on OS X.\n//\n\noptgroup {\n  font-weight: bold;\n}\n\n// Tables\n// ==========================================================================\n\n//\n// Remove most spacing between table cells.\n//\n\ntable {\n  border-collapse: collapse;\n  border-spacing: 0;\n}\n\ntd,\nth {\n  padding: 0;\n}\n","/*!\n * Bootstrap v3.4.1 (https://getbootstrap.com/)\n * Copyright 2011-2019 Twitter, Inc.\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)\n */\n/*! normalize.css v3.0.3 | MIT License | github.com/necolas/normalize.css */\nhtml {\n  font-family: sans-serif;\n  -ms-text-size-adjust: 100%;\n  -webkit-text-size-adjust: 100%;\n}\nbody {\n  margin: 0;\n}\narticle,\naside,\ndetails,\nfigcaption,\nfigure,\nfooter,\nheader,\nhgroup,\nmain,\nmenu,\nnav,\nsection,\nsummary {\n  display: block;\n}\naudio,\ncanvas,\nprogress,\nvideo {\n  display: inline-block;\n  vertical-align: baseline;\n}\naudio:not([controls]) {\n  display: none;\n  height: 0;\n}\n[hidden],\ntemplate {\n  display: none;\n}\na {\n  background-color: transparent;\n}\na:active,\na:hover {\n  outline: 0;\n}\nabbr[title] {\n  border-bottom: none;\n  text-decoration: underline;\n  -webkit-text-decoration: underline dotted;\n  -moz-text-decoration: underline dotted;\n  text-decoration: underline dotted;\n}\nb,\nstrong {\n  font-weight: bold;\n}\ndfn {\n  font-style: italic;\n}\nh1 {\n  font-size: 2em;\n  margin: 0.67em 0;\n}\nmark {\n  background: #ff0;\n  color: #000;\n}\nsmall {\n  font-size: 80%;\n}\nsub,\nsup {\n  font-size: 75%;\n  line-height: 0;\n  position: relative;\n  vertical-align: baseline;\n}\nsup {\n  top: -0.5em;\n}\nsub {\n  bottom: -0.25em;\n}\nimg {\n  border: 0;\n}\nsvg:not(:root) {\n  overflow: hidden;\n}\nfigure {\n  margin: 1em 40px;\n}\nhr {\n  -webkit-box-sizing: content-box;\n  -moz-box-sizing: content-box;\n  box-sizing: content-box;\n  height: 0;\n}\npre {\n  overflow: auto;\n}\ncode,\nkbd,\npre,\nsamp {\n  font-family: monospace, monospace;\n  font-size: 1em;\n}\nbutton,\ninput,\noptgroup,\nselect,\ntextarea {\n  color: inherit;\n  font: inherit;\n  margin: 0;\n}\nbutton {\n  overflow: visible;\n}\nbutton,\nselect {\n  text-transform: none;\n}\nbutton,\nhtml input[type=\"button\"],\ninput[type=\"reset\"],\ninput[type=\"submit\"] {\n  -webkit-appearance: button;\n  cursor: pointer;\n}\nbutton[disabled],\nhtml input[disabled] {\n  cursor: default;\n}\nbutton::-moz-focus-inner,\ninput::-moz-focus-inner {\n  border: 0;\n  padding: 0;\n}\ninput {\n  line-height: normal;\n}\ninput[type=\"checkbox\"],\ninput[type=\"radio\"] {\n  -webkit-box-sizing: border-box;\n  -moz-box-sizing: border-box;\n  box-sizing: border-box;\n  padding: 0;\n}\ninput[type=\"number\"]::-webkit-inner-spin-button,\ninput[type=\"number\"]::-webkit-outer-spin-button {\n  height: auto;\n}\ninput[type=\"search\"] {\n  -webkit-appearance: textfield;\n  -webkit-box-sizing: content-box;\n  -moz-box-sizing: content-box;\n  box-sizing: content-box;\n}\ninput[type=\"search\"]::-webkit-search-cancel-button,\ninput[type=\"search\"]::-webkit-search-decoration {\n  -webkit-appearance: none;\n}\nfieldset {\n  border: 1px solid #c0c0c0;\n  margin: 0 2px;\n  padding: 0.35em 0.625em 0.75em;\n}\nlegend {\n  border: 0;\n  padding: 0;\n}\ntextarea {\n  overflow: auto;\n}\noptgroup {\n  font-weight: bold;\n}\ntable {\n  border-collapse: collapse;\n  border-spacing: 0;\n}\ntd,\nth {\n  padding: 0;\n}\n/*! Source: https://github.com/h5bp/html5-boilerplate/blob/master/src/css/main.css */\n@media print {\n  *,\n  *:before,\n  *:after {\n    color: #000 !important;\n    text-shadow: none !important;\n    background: transparent !important;\n    -webkit-box-shadow: none !important;\n    box-shadow: none !important;\n  }\n  a,\n  a:visited {\n    text-decoration: underline;\n  }\n  a[href]:after {\n    content: \" (\" attr(href) \")\";\n  }\n  abbr[title]:after {\n    content: \" (\" attr(title) \")\";\n  }\n  a[href^=\"#\"]:after,\n  a[href^=\"javascript:\"]:after {\n    content: \"\";\n  }\n  pre,\n  blockquote {\n    border: 1px solid #999;\n    page-break-inside: avoid;\n  }\n  thead {\n    display: table-header-group;\n  }\n  tr,\n  img {\n    page-break-inside: avoid;\n  }\n  img {\n    max-width: 100% !important;\n  }\n  p,\n  h2,\n  h3 {\n    orphans: 3;\n    widows: 3;\n  }\n  h2,\n  h3 {\n    page-break-after: avoid;\n  }\n  .navbar {\n    display: none;\n  }\n  .btn > .caret,\n  .dropup > .btn > .caret {\n    border-top-color: #000 !important;\n  }\n  .label {\n    border: 1px solid #000;\n  }\n  .table {\n    border-collapse: collapse !important;\n  }\n  .table td,\n  .table th {\n    background-color: #fff !important;\n  }\n  .table-bordered th,\n  .table-bordered td {\n    border: 1px solid #ddd !important;\n  }\n}\n@font-face {\n  font-family: \"Glyphicons Halflings\";\n  src: url(\"../fonts/glyphicons-halflings-regular.eot\");\n  src: url(\"../fonts/glyphicons-halflings-regular.eot?#iefix\") format(\"embedded-opentype\"), url(\"../fonts/glyphicons-halflings-regular.woff2\") format(\"woff2\"), url(\"../fonts/glyphicons-halflings-regular.woff\") format(\"woff\"), url(\"../fonts/glyphicons-halflings-regular.ttf\") format(\"truetype\"), url(\"../fonts/glyphicons-halflings-regular.svg#glyphicons_halflingsregular\") format(\"svg\");\n}\n.glyphicon {\n  position: relative;\n  top: 1px;\n  display: inline-block;\n  font-family: \"Glyphicons Halflings\";\n  font-style: normal;\n  font-weight: 400;\n  line-height: 1;\n  -webkit-font-smoothing: antialiased;\n  -moz-osx-font-smoothing: grayscale;\n}\n.glyphicon-asterisk:before {\n  content: \"\\002a\";\n}\n.glyphicon-plus:before {\n  content: \"\\002b\";\n}\n.glyphicon-euro:before,\n.glyphicon-eur:before {\n  content: \"\\20ac\";\n}\n.glyphicon-minus:before {\n  content: \"\\2212\";\n}\n.glyphicon-cloud:before {\n  content: \"\\2601\";\n}\n.glyphicon-envelope:before {\n  content: \"\\2709\";\n}\n.glyphicon-pencil:before {\n  content: \"\\270f\";\n}\n.glyphicon-glass:before {\n  content: \"\\e001\";\n}\n.glyphicon-music:before {\n  content: \"\\e002\";\n}\n.glyphicon-search:before {\n  content: \"\\e003\";\n}\n.glyphicon-heart:before {\n  content: \"\\e005\";\n}\n.glyphicon-star:before {\n  content: \"\\e006\";\n}\n.glyphicon-star-empty:before {\n  content: \"\\e007\";\n}\n.glyphicon-user:before {\n  content: \"\\e008\";\n}\n.glyphicon-film:before {\n  content: \"\\e009\";\n}\n.glyphicon-th-large:before {\n  content: \"\\e010\";\n}\n.glyphicon-th:before {\n  content: \"\\e011\";\n}\n.glyphicon-th-list:before {\n  content: \"\\e012\";\n}\n.glyphicon-ok:before {\n  content: \"\\e013\";\n}\n.glyphicon-remove:before {\n  content: \"\\e014\";\n}\n.glyphicon-zoom-in:before {\n  content: \"\\e015\";\n}\n.glyphicon-zoom-out:before {\n  content: \"\\e016\";\n}\n.glyphicon-off:before {\n  content: \"\\e017\";\n}\n.glyphicon-signal:before {\n  content: \"\\e018\";\n}\n.glyphicon-cog:before {\n  content: \"\\e019\";\n}\n.glyphicon-trash:before {\n  content: \"\\e020\";\n}\n.glyphicon-home:before {\n  content: \"\\e021\";\n}\n.glyphicon-file:before {\n  content: \"\\e022\";\n}\n.glyphicon-time:before {\n  content: \"\\e023\";\n}\n.glyphicon-road:before {\n  content: \"\\e024\";\n}\n.glyphicon-download-alt:before {\n  content: \"\\e025\";\n}\n.glyphicon-download:before {\n  content: \"\\e026\";\n}\n.glyphicon-upload:before {\n  content: \"\\e027\";\n}\n.glyphicon-inbox:before {\n  content: \"\\e028\";\n}\n.glyphicon-play-circle:before {\n  content: \"\\e029\";\n}\n.glyphicon-repeat:before {\n  content: \"\\e030\";\n}\n.glyphicon-refresh:before {\n  content: \"\\e031\";\n}\n.glyphicon-list-alt:before {\n  content: \"\\e032\";\n}\n.glyphicon-lock:before {\n  content: \"\\e033\";\n}\n.glyphicon-flag:before {\n  content: \"\\e034\";\n}\n.glyphicon-headphones:before {\n  content: \"\\e035\";\n}\n.glyphicon-volume-off:before {\n  content: \"\\e036\";\n}\n.glyphicon-volume-down:before {\n  content: \"\\e037\";\n}\n.glyphicon-volume-up:before {\n  content: \"\\e038\";\n}\n.glyphicon-qrcode:before {\n  content: \"\\e039\";\n}\n.glyphicon-barcode:before {\n  content: \"\\e040\";\n}\n.glyphicon-tag:before {\n  content: \"\\e041\";\n}\n.glyphicon-tags:before {\n  content: \"\\e042\";\n}\n.glyphicon-book:before {\n  content: \"\\e043\";\n}\n.glyphicon-bookmark:before {\n  content: \"\\e044\";\n}\n.glyphicon-print:before {\n  content: \"\\e045\";\n}\n.glyphicon-camera:before {\n  content: \"\\e046\";\n}\n.glyphicon-font:before {\n  content: \"\\e047\";\n}\n.glyphicon-bold:before {\n  content: \"\\e048\";\n}\n.glyphicon-italic:before {\n  content: \"\\e049\";\n}\n.glyphicon-text-height:before {\n  content: \"\\e050\";\n}\n.glyphicon-text-width:before {\n  content: \"\\e051\";\n}\n.glyphicon-align-left:before {\n  content: \"\\e052\";\n}\n.glyphicon-align-center:before {\n  content: \"\\e053\";\n}\n.glyphicon-align-right:before {\n  content: \"\\e054\";\n}\n.glyphicon-align-justify:before {\n  content: \"\\e055\";\n}\n.glyphicon-list:before {\n  content: \"\\e056\";\n}\n.glyphicon-indent-left:before {\n  content: \"\\e057\";\n}\n.glyphicon-indent-right:before {\n  content: \"\\e058\";\n}\n.glyphicon-facetime-video:before {\n  content: \"\\e059\";\n}\n.glyphicon-picture:before {\n  content: \"\\e060\";\n}\n.glyphicon-map-marker:before {\n  content: \"\\e062\";\n}\n.glyphicon-adjust:before {\n  content: \"\\e063\";\n}\n.glyphicon-tint:before {\n  content: \"\\e064\";\n}\n.glyphicon-edit:before {\n  content: \"\\e065\";\n}\n.glyphicon-share:before {\n  content: \"\\e066\";\n}\n.glyphicon-check:before {\n  content: \"\\e067\";\n}\n.glyphicon-move:before {\n  content: \"\\e068\";\n}\n.glyphicon-step-backward:before {\n  content: \"\\e069\";\n}\n.glyphicon-fast-backward:before {\n  content: \"\\e070\";\n}\n.glyphicon-backward:before {\n  content: \"\\e071\";\n}\n.glyphicon-play:before {\n  content: \"\\e072\";\n}\n.glyphicon-pause:before {\n  content: \"\\e073\";\n}\n.glyphicon-stop:before {\n  content: \"\\e074\";\n}\n.glyphicon-forward:before {\n  content: \"\\e075\";\n}\n.glyphicon-fast-forward:before {\n  content: \"\\e076\";\n}\n.glyphicon-step-forward:before {\n  content: \"\\e077\";\n}\n.glyphicon-eject:before {\n  content: \"\\e078\";\n}\n.glyphicon-chevron-left:before {\n  content: \"\\e079\";\n}\n.glyphicon-chevron-right:before {\n  content: \"\\e080\";\n}\n.glyphicon-plus-sign:before {\n  content: \"\\e081\";\n}\n.glyphicon-minus-sign:before {\n  content: \"\\e082\";\n}\n.glyphicon-remove-sign:before {\n  content: \"\\e083\";\n}\n.glyphicon-ok-sign:before {\n  content: \"\\e084\";\n}\n.glyphicon-question-sign:before {\n  content: \"\\e085\";\n}\n.glyphicon-info-sign:before {\n  content: \"\\e086\";\n}\n.glyphicon-screenshot:before {\n  content: \"\\e087\";\n}\n.glyphicon-remove-circle:before {\n  content: \"\\e088\";\n}\n.glyphicon-ok-circle:before {\n  content: \"\\e089\";\n}\n.glyphicon-ban-circle:before {\n  content: \"\\e090\";\n}\n.glyphicon-arrow-left:before {\n  content: \"\\e091\";\n}\n.glyphicon-arrow-right:before {\n  content: \"\\e092\";\n}\n.glyphicon-arrow-up:before {\n  content: \"\\e093\";\n}\n.glyphicon-arrow-down:before {\n  content: \"\\e094\";\n}\n.glyphicon-share-alt:before {\n  content: \"\\e095\";\n}\n.glyphicon-resize-full:before {\n  content: \"\\e096\";\n}\n.glyphicon-resize-small:before {\n  content: \"\\e097\";\n}\n.glyphicon-exclamation-sign:before {\n  content: \"\\e101\";\n}\n.glyphicon-gift:before {\n  content: \"\\e102\";\n}\n.glyphicon-leaf:before {\n  content: \"\\e103\";\n}\n.glyphicon-fire:before {\n  content: \"\\e104\";\n}\n.glyphicon-eye-open:before {\n  content: \"\\e105\";\n}\n.glyphicon-eye-close:before {\n  content: \"\\e106\";\n}\n.glyphicon-warning-sign:before {\n  content: \"\\e107\";\n}\n.glyphicon-plane:before {\n  content: \"\\e108\";\n}\n.glyphicon-calendar:before {\n  content: \"\\e109\";\n}\n.glyphicon-random:before {\n  content: \"\\e110\";\n}\n.glyphicon-comment:before {\n  content: \"\\e111\";\n}\n.glyphicon-magnet:before {\n  content: \"\\e112\";\n}\n.glyphicon-chevron-up:before {\n  content: \"\\e113\";\n}\n.glyphicon-chevron-down:before {\n  content: \"\\e114\";\n}\n.glyphicon-retweet:before {\n  content: \"\\e115\";\n}\n.glyphicon-shopping-cart:before {\n  content: \"\\e116\";\n}\n.glyphicon-folder-close:before {\n  content: \"\\e117\";\n}\n.glyphicon-folder-open:before {\n  content: \"\\e118\";\n}\n.glyphicon-resize-vertical:before {\n  content: \"\\e119\";\n}\n.glyphicon-resize-horizontal:before {\n  content: \"\\e120\";\n}\n.glyphicon-hdd:before {\n  content: \"\\e121\";\n}\n.glyphicon-bullhorn:before {\n  content: \"\\e122\";\n}\n.glyphicon-bell:before {\n  content: \"\\e123\";\n}\n.glyphicon-certificate:before {\n  content: \"\\e124\";\n}\n.glyphicon-thumbs-up:before {\n  content: \"\\e125\";\n}\n.glyphicon-thumbs-down:before {\n  content: \"\\e126\";\n}\n.glyphicon-hand-right:before {\n  content: \"\\e127\";\n}\n.glyphicon-hand-left:before {\n  content: \"\\e128\";\n}\n.glyphicon-hand-up:before {\n  content: \"\\e129\";\n}\n.glyphicon-hand-down:before {\n  content: \"\\e130\";\n}\n.glyphicon-circle-arrow-right:before {\n  content: \"\\e131\";\n}\n.glyphicon-circle-arrow-left:before {\n  content: \"\\e132\";\n}\n.glyphicon-circle-arrow-up:before {\n  content: \"\\e133\";\n}\n.glyphicon-circle-arrow-down:before {\n  content: \"\\e134\";\n}\n.glyphicon-globe:before {\n  content: \"\\e135\";\n}\n.glyphicon-wrench:before {\n  content: \"\\e136\";\n}\n.glyphicon-tasks:before {\n  content: \"\\e137\";\n}\n.glyphicon-filter:before {\n  content: \"\\e138\";\n}\n.glyphicon-briefcase:before {\n  content: \"\\e139\";\n}\n.glyphicon-fullscreen:before {\n  content: \"\\e140\";\n}\n.glyphicon-dashboard:before {\n  content: \"\\e141\";\n}\n.glyphicon-paperclip:before {\n  content: \"\\e142\";\n}\n.glyphicon-heart-empty:before {\n  content: \"\\e143\";\n}\n.glyphicon-link:before {\n  content: \"\\e144\";\n}\n.glyphicon-phone:before {\n  content: \"\\e145\";\n}\n.glyphicon-pushpin:before {\n  content: \"\\e146\";\n}\n.glyphicon-usd:before {\n  content: \"\\e148\";\n}\n.glyphicon-gbp:before {\n  content: \"\\e149\";\n}\n.glyphicon-sort:before {\n  content: \"\\e150\";\n}\n.glyphicon-sort-by-alphabet:before {\n  content: \"\\e151\";\n}\n.glyphicon-sort-by-alphabet-alt:before {\n  content: \"\\e152\";\n}\n.glyphicon-sort-by-order:before {\n  content: \"\\e153\";\n}\n.glyphicon-sort-by-order-alt:before {\n  content: \"\\e154\";\n}\n.glyphicon-sort-by-attributes:before {\n  content: \"\\e155\";\n}\n.glyphicon-sort-by-attributes-alt:before {\n  content: \"\\e156\";\n}\n.glyphicon-unchecked:before {\n  content: \"\\e157\";\n}\n.glyphicon-expand:before {\n  content: \"\\e158\";\n}\n.glyphicon-collapse-down:before {\n  content: \"\\e159\";\n}\n.glyphicon-collapse-up:before {\n  content: \"\\e160\";\n}\n.glyphicon-log-in:before {\n  content: \"\\e161\";\n}\n.glyphicon-flash:before {\n  content: \"\\e162\";\n}\n.glyphicon-log-out:before {\n  content: \"\\e163\";\n}\n.glyphicon-new-window:before {\n  content: \"\\e164\";\n}\n.glyphicon-record:before {\n  content: \"\\e165\";\n}\n.glyphicon-save:before {\n  content: \"\\e166\";\n}\n.glyphicon-open:before {\n  content: \"\\e167\";\n}\n.glyphicon-saved:before {\n  content: \"\\e168\";\n}\n.glyphicon-import:before {\n  content: \"\\e169\";\n}\n.glyphicon-export:before {\n  content: \"\\e170\";\n}\n.glyphicon-send:before {\n  content: \"\\e171\";\n}\n.glyphicon-floppy-disk:before {\n  content: \"\\e172\";\n}\n.glyphicon-floppy-saved:before {\n  content: \"\\e173\";\n}\n.glyphicon-floppy-remove:before {\n  content: \"\\e174\";\n}\n.glyphicon-floppy-save:before {\n  content: \"\\e175\";\n}\n.glyphicon-floppy-open:before {\n  content: \"\\e176\";\n}\n.glyphicon-credit-card:before {\n  content: \"\\e177\";\n}\n.glyphicon-transfer:before {\n  content: \"\\e178\";\n}\n.glyphicon-cutlery:before {\n  content: \"\\e179\";\n}\n.glyphicon-header:before {\n  content: \"\\e180\";\n}\n.glyphicon-compressed:before {\n  content: \"\\e181\";\n}\n.glyphicon-earphone:before {\n  content: \"\\e182\";\n}\n.glyphicon-phone-alt:before {\n  content: \"\\e183\";\n}\n.glyphicon-tower:before {\n  content: \"\\e184\";\n}\n.glyphicon-stats:before {\n  content: \"\\e185\";\n}\n.glyphicon-sd-video:before {\n  content: \"\\e186\";\n}\n.glyphicon-hd-video:before {\n  content: \"\\e187\";\n}\n.glyphicon-subtitles:before {\n  content: \"\\e188\";\n}\n.glyphicon-sound-stereo:before {\n  content: \"\\e189\";\n}\n.glyphicon-sound-dolby:before {\n  content: \"\\e190\";\n}\n.glyphicon-sound-5-1:before {\n  content: \"\\e191\";\n}\n.glyphicon-sound-6-1:before {\n  content: \"\\e192\";\n}\n.glyphicon-sound-7-1:before {\n  content: \"\\e193\";\n}\n.glyphicon-copyright-mark:before {\n  content: \"\\e194\";\n}\n.glyphicon-registration-mark:before {\n  content: \"\\e195\";\n}\n.glyphicon-cloud-download:before {\n  content: \"\\e197\";\n}\n.glyphicon-cloud-upload:before {\n  content: \"\\e198\";\n}\n.glyphicon-tree-conifer:before {\n  content: \"\\e199\";\n}\n.glyphicon-tree-deciduous:before {\n  content: \"\\e200\";\n}\n.glyphicon-cd:before {\n  content: \"\\e201\";\n}\n.glyphicon-save-file:before {\n  content: \"\\e202\";\n}\n.glyphicon-open-file:before {\n  content: \"\\e203\";\n}\n.glyphicon-level-up:before {\n  content: \"\\e204\";\n}\n.glyphicon-copy:before {\n  content: \"\\e205\";\n}\n.glyphicon-paste:before {\n  content: \"\\e206\";\n}\n.glyphicon-alert:before {\n  content: \"\\e209\";\n}\n.glyphicon-equalizer:before {\n  content: \"\\e210\";\n}\n.glyphicon-king:before {\n  content: \"\\e211\";\n}\n.glyphicon-queen:before {\n  content: \"\\e212\";\n}\n.glyphicon-pawn:before {\n  content: \"\\e213\";\n}\n.glyphicon-bishop:before {\n  content: \"\\e214\";\n}\n.glyphicon-knight:before {\n  content: \"\\e215\";\n}\n.glyphicon-baby-formula:before {\n  content: \"\\e216\";\n}\n.glyphicon-tent:before {\n  content: \"\\26fa\";\n}\n.glyphicon-blackboard:before {\n  content: \"\\e218\";\n}\n.glyphicon-bed:before {\n  content: \"\\e219\";\n}\n.glyphicon-apple:before {\n  content: \"\\f8ff\";\n}\n.glyphicon-erase:before {\n  content: \"\\e221\";\n}\n.glyphicon-hourglass:before {\n  content: \"\\231b\";\n}\n.glyphicon-lamp:before {\n  content: \"\\e223\";\n}\n.glyphicon-duplicate:before {\n  content: \"\\e224\";\n}\n.glyphicon-piggy-bank:before {\n  content: \"\\e225\";\n}\n.glyphicon-scissors:before {\n  content: \"\\e226\";\n}\n.glyphicon-bitcoin:before {\n  content: \"\\e227\";\n}\n.glyphicon-btc:before {\n  content: \"\\e227\";\n}\n.glyphicon-xbt:before {\n  content: \"\\e227\";\n}\n.glyphicon-yen:before {\n  content: \"\\00a5\";\n}\n.glyphicon-jpy:before {\n  content: \"\\00a5\";\n}\n.glyphicon-ruble:before {\n  content: \"\\20bd\";\n}\n.glyphicon-rub:before {\n  content: \"\\20bd\";\n}\n.glyphicon-scale:before {\n  content: \"\\e230\";\n}\n.glyphicon-ice-lolly:before {\n  content: \"\\e231\";\n}\n.glyphicon-ice-lolly-tasted:before {\n  content: \"\\e232\";\n}\n.glyphicon-education:before {\n  content: \"\\e233\";\n}\n.glyphicon-option-horizontal:before {\n  content: \"\\e234\";\n}\n.glyphicon-option-vertical:before {\n  content: \"\\e235\";\n}\n.glyphicon-menu-hamburger:before {\n  content: \"\\e236\";\n}\n.glyphicon-modal-window:before {\n  content: \"\\e237\";\n}\n.glyphicon-oil:before {\n  content: \"\\e238\";\n}\n.glyphicon-grain:before {\n  content: \"\\e239\";\n}\n.glyphicon-sunglasses:before {\n  content: \"\\e240\";\n}\n.glyphicon-text-size:before {\n  content: \"\\e241\";\n}\n.glyphicon-text-color:before {\n  content: \"\\e242\";\n}\n.glyphicon-text-background:before {\n  content: \"\\e243\";\n}\n.glyphicon-object-align-top:before {\n  content: \"\\e244\";\n}\n.glyphicon-object-align-bottom:before {\n  content: \"\\e245\";\n}\n.glyphicon-object-align-horizontal:before {\n  content: \"\\e246\";\n}\n.glyphicon-object-align-left:before {\n  content: \"\\e247\";\n}\n.glyphicon-object-align-vertical:before {\n  content: \"\\e248\";\n}\n.glyphicon-object-align-right:before {\n  content: \"\\e249\";\n}\n.glyphicon-triangle-right:before {\n  content: \"\\e250\";\n}\n.glyphicon-triangle-left:before {\n  content: \"\\e251\";\n}\n.glyphicon-triangle-bottom:before {\n  content: \"\\e252\";\n}\n.glyphicon-triangle-top:before {\n  content: \"\\e253\";\n}\n.glyphicon-console:before {\n  content: \"\\e254\";\n}\n.glyphicon-superscript:before {\n  content: \"\\e255\";\n}\n.glyphicon-subscript:before {\n  content: \"\\e256\";\n}\n.glyphicon-menu-left:before {\n  content: \"\\e257\";\n}\n.glyphicon-menu-right:before {\n  content: \"\\e258\";\n}\n.glyphicon-menu-down:before {\n  content: \"\\e259\";\n}\n.glyphicon-menu-up:before {\n  content: \"\\e260\";\n}\n* {\n  -webkit-box-sizing: border-box;\n  -moz-box-sizing: border-box;\n  box-sizing: border-box;\n}\n*:before,\n*:after {\n  -webkit-box-sizing: border-box;\n  -moz-box-sizing: border-box;\n  box-sizing: border-box;\n}\nhtml {\n  font-size: 10px;\n  -webkit-tap-highlight-color: rgba(0, 0, 0, 0);\n}\nbody {\n  font-family: \"Helvetica Neue\", Helvetica, Arial, sans-serif;\n  font-size: 14px;\n  line-height: 1.42857143;\n  color: #333333;\n  background-color: #fff;\n}\ninput,\nbutton,\nselect,\ntextarea {\n  font-family: inherit;\n  font-size: inherit;\n  line-height: inherit;\n}\na {\n  color: #337ab7;\n  text-decoration: none;\n}\na:hover,\na:focus {\n  color: #23527c;\n  text-decoration: underline;\n}\na:focus {\n  outline: 5px auto -webkit-focus-ring-color;\n  outline-offset: -2px;\n}\nfigure {\n  margin: 0;\n}\nimg {\n  vertical-align: middle;\n}\n.img-responsive,\n.thumbnail > img,\n.thumbnail a > img,\n.carousel-inner > .item > img,\n.carousel-inner > .item > a > img {\n  display: block;\n  max-width: 100%;\n  height: auto;\n}\n.img-rounded {\n  border-radius: 6px;\n}\n.img-thumbnail {\n  padding: 4px;\n  line-height: 1.42857143;\n  background-color: #fff;\n  border: 1px solid #ddd;\n  border-radius: 4px;\n  -webkit-transition: all 0.2s ease-in-out;\n  -o-transition: all 0.2s ease-in-out;\n  transition: all 0.2s ease-in-out;\n  display: inline-block;\n  max-width: 100%;\n  height: auto;\n}\n.img-circle {\n  border-radius: 50%;\n}\nhr {\n  margin-top: 20px;\n  margin-bottom: 20px;\n  border: 0;\n  border-top: 1px solid #eeeeee;\n}\n.sr-only {\n  position: absolute;\n  width: 1px;\n  height: 1px;\n  padding: 0;\n  margin: -1px;\n  overflow: hidden;\n  clip: rect(0, 0, 0, 0);\n  border: 0;\n}\n.sr-only-focusable:active,\n.sr-only-focusable:focus {\n  position: static;\n  width: auto;\n  height: auto;\n  margin: 0;\n  overflow: visible;\n  clip: auto;\n}\n[role=\"button\"] {\n  cursor: pointer;\n}\nh1,\nh2,\nh3,\nh4,\nh5,\nh6,\n.h1,\n.h2,\n.h3,\n.h4,\n.h5,\n.h6 {\n  font-family: inherit;\n  font-weight: 500;\n  line-height: 1.1;\n  color: inherit;\n}\nh1 small,\nh2 small,\nh3 small,\nh4 small,\nh5 small,\nh6 small,\n.h1 small,\n.h2 small,\n.h3 small,\n.h4 small,\n.h5 small,\n.h6 small,\nh1 .small,\nh2 .small,\nh3 .small,\nh4 .small,\nh5 .small,\nh6 .small,\n.h1 .small,\n.h2 .small,\n.h3 .small,\n.h4 .small,\n.h5 .small,\n.h6 .small {\n  font-weight: 400;\n  line-height: 1;\n  color: #777777;\n}\nh1,\n.h1,\nh2,\n.h2,\nh3,\n.h3 {\n  margin-top: 20px;\n  margin-bottom: 10px;\n}\nh1 small,\n.h1 small,\nh2 small,\n.h2 small,\nh3 small,\n.h3 small,\nh1 .small,\n.h1 .small,\nh2 .small,\n.h2 .small,\nh3 .small,\n.h3 .small {\n  font-size: 65%;\n}\nh4,\n.h4,\nh5,\n.h5,\nh6,\n.h6 {\n  margin-top: 10px;\n  margin-bottom: 10px;\n}\nh4 small,\n.h4 small,\nh5 small,\n.h5 small,\nh6 small,\n.h6 small,\nh4 .small,\n.h4 .small,\nh5 .small,\n.h5 .small,\nh6 .small,\n.h6 .small {\n  font-size: 75%;\n}\nh1,\n.h1 {\n  font-size: 36px;\n}\nh2,\n.h2 {\n  font-size: 30px;\n}\nh3,\n.h3 {\n  font-size: 24px;\n}\nh4,\n.h4 {\n  font-size: 18px;\n}\nh5,\n.h5 {\n  font-size: 14px;\n}\nh6,\n.h6 {\n  font-size: 12px;\n}\np {\n  margin: 0 0 10px;\n}\n.lead {\n  margin-bottom: 20px;\n  font-size: 16px;\n  font-weight: 300;\n  line-height: 1.4;\n}\n@media (min-width: 768px) {\n  .lead {\n    font-size: 21px;\n  }\n}\nsmall,\n.small {\n  font-size: 85%;\n}\nmark,\n.mark {\n  padding: 0.2em;\n  background-color: #fcf8e3;\n}\n.text-left {\n  text-align: left;\n}\n.text-right {\n  text-align: right;\n}\n.text-center {\n  text-align: center;\n}\n.text-justify {\n  text-align: justify;\n}\n.text-nowrap {\n  white-space: nowrap;\n}\n.text-lowercase {\n  text-transform: lowercase;\n}\n.text-uppercase {\n  text-transform: uppercase;\n}\n.text-capitalize {\n  text-transform: capitalize;\n}\n.text-muted {\n  color: #777777;\n}\n.text-primary {\n  color: #337ab7;\n}\na.text-primary:hover,\na.text-primary:focus {\n  color: #286090;\n}\n.text-success {\n  color: #3c763d;\n}\na.text-success:hover,\na.text-success:focus {\n  color: #2b542c;\n}\n.text-info {\n  color: #31708f;\n}\na.text-info:hover,\na.text-info:focus {\n  color: #245269;\n}\n.text-warning {\n  color: #8a6d3b;\n}\na.text-warning:hover,\na.text-warning:focus {\n  color: #66512c;\n}\n.text-danger {\n  color: #a94442;\n}\na.text-danger:hover,\na.text-danger:focus {\n  color: #843534;\n}\n.bg-primary {\n  color: #fff;\n  background-color: #337ab7;\n}\na.bg-primary:hover,\na.bg-primary:focus {\n  background-color: #286090;\n}\n.bg-success {\n  background-color: #dff0d8;\n}\na.bg-success:hover,\na.bg-success:focus {\n  background-color: #c1e2b3;\n}\n.bg-info {\n  background-color: #d9edf7;\n}\na.bg-info:hover,\na.bg-info:focus {\n  background-color: #afd9ee;\n}\n.bg-warning {\n  background-color: #fcf8e3;\n}\na.bg-warning:hover,\na.bg-warning:focus {\n  background-color: #f7ecb5;\n}\n.bg-danger {\n  background-color: #f2dede;\n}\na.bg-danger:hover,\na.bg-danger:focus {\n  background-color: #e4b9b9;\n}\n.page-header {\n  padding-bottom: 9px;\n  margin: 40px 0 20px;\n  border-bottom: 1px solid #eeeeee;\n}\nul,\nol {\n  margin-top: 0;\n  margin-bottom: 10px;\n}\nul ul,\nol ul,\nul ol,\nol ol {\n  margin-bottom: 0;\n}\n.list-unstyled {\n  padding-left: 0;\n  list-style: none;\n}\n.list-inline {\n  padding-left: 0;\n  list-style: none;\n  margin-left: -5px;\n}\n.list-inline > li {\n  display: inline-block;\n  padding-right: 5px;\n  padding-left: 5px;\n}\ndl {\n  margin-top: 0;\n  margin-bottom: 20px;\n}\ndt,\ndd {\n  line-height: 1.42857143;\n}\ndt {\n  font-weight: 700;\n}\ndd {\n  margin-left: 0;\n}\n@media (min-width: 768px) {\n  .dl-horizontal dt {\n    float: left;\n    width: 160px;\n    clear: left;\n    text-align: right;\n    overflow: hidden;\n    text-overflow: ellipsis;\n    white-space: nowrap;\n  }\n  .dl-horizontal dd {\n    margin-left: 180px;\n  }\n}\nabbr[title],\nabbr[data-original-title] {\n  cursor: help;\n}\n.initialism {\n  font-size: 90%;\n  text-transform: uppercase;\n}\nblockquote {\n  padding: 10px 20px;\n  margin: 0 0 20px;\n  font-size: 17.5px;\n  border-left: 5px solid #eeeeee;\n}\nblockquote p:last-child,\nblockquote ul:last-child,\nblockquote ol:last-child {\n  margin-bottom: 0;\n}\nblockquote footer,\nblockquote small,\nblockquote .small {\n  display: block;\n  font-size: 80%;\n  line-height: 1.42857143;\n  color: #777777;\n}\nblockquote footer:before,\nblockquote small:before,\nblockquote .small:before {\n  content: \"\\2014 \\00A0\";\n}\n.blockquote-reverse,\nblockquote.pull-right {\n  padding-right: 15px;\n  padding-left: 0;\n  text-align: right;\n  border-right: 5px solid #eeeeee;\n  border-left: 0;\n}\n.blockquote-reverse footer:before,\nblockquote.pull-right footer:before,\n.blockquote-reverse small:before,\nblockquote.pull-right small:before,\n.blockquote-reverse .small:before,\nblockquote.pull-right .small:before {\n  content: \"\";\n}\n.blockquote-reverse footer:after,\nblockquote.pull-right footer:after,\n.blockquote-reverse small:after,\nblockquote.pull-right small:after,\n.blockquote-reverse .small:after,\nblockquote.pull-right .small:after {\n  content: \"\\00A0 \\2014\";\n}\naddress {\n  margin-bottom: 20px;\n  font-style: normal;\n  line-height: 1.42857143;\n}\ncode,\nkbd,\npre,\nsamp {\n  font-family: Menlo, Monaco, Consolas, \"Courier New\", monospace;\n}\ncode {\n  padding: 2px 4px;\n  font-size: 90%;\n  color: #c7254e;\n  background-color: #f9f2f4;\n  border-radius: 4px;\n}\nkbd {\n  padding: 2px 4px;\n  font-size: 90%;\n  color: #fff;\n  background-color: #333;\n  border-radius: 3px;\n  -webkit-box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.25);\n  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.25);\n}\nkbd kbd {\n  padding: 0;\n  font-size: 100%;\n  font-weight: 700;\n  -webkit-box-shadow: none;\n  box-shadow: none;\n}\npre {\n  display: block;\n  padding: 9.5px;\n  margin: 0 0 10px;\n  font-size: 13px;\n  line-height: 1.42857143;\n  color: #333333;\n  word-break: break-all;\n  word-wrap: break-word;\n  background-color: #f5f5f5;\n  border: 1px solid #ccc;\n  border-radius: 4px;\n}\npre code {\n  padding: 0;\n  font-size: inherit;\n  color: inherit;\n  white-space: pre-wrap;\n  background-color: transparent;\n  border-radius: 0;\n}\n.pre-scrollable {\n  max-height: 340px;\n  overflow-y: scroll;\n}\n.container {\n  padding-right: 15px;\n  padding-left: 15px;\n  margin-right: auto;\n  margin-left: auto;\n}\n@media (min-width: 768px) {\n  .container {\n    width: 750px;\n  }\n}\n@media (min-width: 992px) {\n  .container {\n    width: 970px;\n  }\n}\n@media (min-width: 1200px) {\n  .container {\n    width: 1170px;\n  }\n}\n.container-fluid {\n  padding-right: 15px;\n  padding-left: 15px;\n  margin-right: auto;\n  margin-left: auto;\n}\n.row {\n  margin-right: -15px;\n  margin-left: -15px;\n}\n.row-no-gutters {\n  margin-right: 0;\n  margin-left: 0;\n}\n.row-no-gutters [class*=\"col-\"] {\n  padding-right: 0;\n  padding-left: 0;\n}\n.col-xs-1,\n.col-sm-1,\n.col-md-1,\n.col-lg-1,\n.col-xs-2,\n.col-sm-2,\n.col-md-2,\n.col-lg-2,\n.col-xs-3,\n.col-sm-3,\n.col-md-3,\n.col-lg-3,\n.col-xs-4,\n.col-sm-4,\n.col-md-4,\n.col-lg-4,\n.col-xs-5,\n.col-sm-5,\n.col-md-5,\n.col-lg-5,\n.col-xs-6,\n.col-sm-6,\n.col-md-6,\n.col-lg-6,\n.col-xs-7,\n.col-sm-7,\n.col-md-7,\n.col-lg-7,\n.col-xs-8,\n.col-sm-8,\n.col-md-8,\n.col-lg-8,\n.col-xs-9,\n.col-sm-9,\n.col-md-9,\n.col-lg-9,\n.col-xs-10,\n.col-sm-10,\n.col-md-10,\n.col-lg-10,\n.col-xs-11,\n.col-sm-11,\n.col-md-11,\n.col-lg-11,\n.col-xs-12,\n.col-sm-12,\n.col-md-12,\n.col-lg-12 {\n  position: relative;\n  min-height: 1px;\n  padding-right: 15px;\n  padding-left: 15px;\n}\n.col-xs-1,\n.col-xs-2,\n.col-xs-3,\n.col-xs-4,\n.col-xs-5,\n.col-xs-6,\n.col-xs-7,\n.col-xs-8,\n.col-xs-9,\n.col-xs-10,\n.col-xs-11,\n.col-xs-12 {\n  float: left;\n}\n.col-xs-12 {\n  width: 100%;\n}\n.col-xs-11 {\n  width: 91.66666667%;\n}\n.col-xs-10 {\n  width: 83.33333333%;\n}\n.col-xs-9 {\n  width: 75%;\n}\n.col-xs-8 {\n  width: 66.66666667%;\n}\n.col-xs-7 {\n  width: 58.33333333%;\n}\n.col-xs-6 {\n  width: 50%;\n}\n.col-xs-5 {\n  width: 41.66666667%;\n}\n.col-xs-4 {\n  width: 33.33333333%;\n}\n.col-xs-3 {\n  width: 25%;\n}\n.col-xs-2 {\n  width: 16.66666667%;\n}\n.col-xs-1 {\n  width: 8.33333333%;\n}\n.col-xs-pull-12 {\n  right: 100%;\n}\n.col-xs-pull-11 {\n  right: 91.66666667%;\n}\n.col-xs-pull-10 {\n  right: 83.33333333%;\n}\n.col-xs-pull-9 {\n  right: 75%;\n}\n.col-xs-pull-8 {\n  right: 66.66666667%;\n}\n.col-xs-pull-7 {\n  right: 58.33333333%;\n}\n.col-xs-pull-6 {\n  right: 50%;\n}\n.col-xs-pull-5 {\n  right: 41.66666667%;\n}\n.col-xs-pull-4 {\n  right: 33.33333333%;\n}\n.col-xs-pull-3 {\n  right: 25%;\n}\n.col-xs-pull-2 {\n  right: 16.66666667%;\n}\n.col-xs-pull-1 {\n  right: 8.33333333%;\n}\n.col-xs-pull-0 {\n  right: auto;\n}\n.col-xs-push-12 {\n  left: 100%;\n}\n.col-xs-push-11 {\n  left: 91.66666667%;\n}\n.col-xs-push-10 {\n  left: 83.33333333%;\n}\n.col-xs-push-9 {\n  left: 75%;\n}\n.col-xs-push-8 {\n  left: 66.66666667%;\n}\n.col-xs-push-7 {\n  left: 58.33333333%;\n}\n.col-xs-push-6 {\n  left: 50%;\n}\n.col-xs-push-5 {\n  left: 41.66666667%;\n}\n.col-xs-push-4 {\n  left: 33.33333333%;\n}\n.col-xs-push-3 {\n  left: 25%;\n}\n.col-xs-push-2 {\n  left: 16.66666667%;\n}\n.col-xs-push-1 {\n  left: 8.33333333%;\n}\n.col-xs-push-0 {\n  left: auto;\n}\n.col-xs-offset-12 {\n  margin-left: 100%;\n}\n.col-xs-offset-11 {\n  margin-left: 91.66666667%;\n}\n.col-xs-offset-10 {\n  margin-left: 83.33333333%;\n}\n.col-xs-offset-9 {\n  margin-left: 75%;\n}\n.col-xs-offset-8 {\n  margin-left: 66.66666667%;\n}\n.col-xs-offset-7 {\n  margin-left: 58.33333333%;\n}\n.col-xs-offset-6 {\n  margin-left: 50%;\n}\n.col-xs-offset-5 {\n  margin-left: 41.66666667%;\n}\n.col-xs-offset-4 {\n  margin-left: 33.33333333%;\n}\n.col-xs-offset-3 {\n  margin-left: 25%;\n}\n.col-xs-offset-2 {\n  margin-left: 16.66666667%;\n}\n.col-xs-offset-1 {\n  margin-left: 8.33333333%;\n}\n.col-xs-offset-0 {\n  margin-left: 0%;\n}\n@media (min-width: 768px) {\n  .col-sm-1,\n  .col-sm-2,\n  .col-sm-3,\n  .col-sm-4,\n  .col-sm-5,\n  .col-sm-6,\n  .col-sm-7,\n  .col-sm-8,\n  .col-sm-9,\n  .col-sm-10,\n  .col-sm-11,\n  .col-sm-12 {\n    float: left;\n  }\n  .col-sm-12 {\n    width: 100%;\n  }\n  .col-sm-11 {\n    width: 91.66666667%;\n  }\n  .col-sm-10 {\n    width: 83.33333333%;\n  }\n  .col-sm-9 {\n    width: 75%;\n  }\n  .col-sm-8 {\n    width: 66.66666667%;\n  }\n  .col-sm-7 {\n    width: 58.33333333%;\n  }\n  .col-sm-6 {\n    width: 50%;\n  }\n  .col-sm-5 {\n    width: 41.66666667%;\n  }\n  .col-sm-4 {\n    width: 33.33333333%;\n  }\n  .col-sm-3 {\n    width: 25%;\n  }\n  .col-sm-2 {\n    width: 16.66666667%;\n  }\n  .col-sm-1 {\n    width: 8.33333333%;\n  }\n  .col-sm-pull-12 {\n    right: 100%;\n  }\n  .col-sm-pull-11 {\n    right: 91.66666667%;\n  }\n  .col-sm-pull-10 {\n    right: 83.33333333%;\n  }\n  .col-sm-pull-9 {\n    right: 75%;\n  }\n  .col-sm-pull-8 {\n    right: 66.66666667%;\n  }\n  .col-sm-pull-7 {\n    right: 58.33333333%;\n  }\n  .col-sm-pull-6 {\n    right: 50%;\n  }\n  .col-sm-pull-5 {\n    right: 41.66666667%;\n  }\n  .col-sm-pull-4 {\n    right: 33.33333333%;\n  }\n  .col-sm-pull-3 {\n    right: 25%;\n  }\n  .col-sm-pull-2 {\n    right: 16.66666667%;\n  }\n  .col-sm-pull-1 {\n    right: 8.33333333%;\n  }\n  .col-sm-pull-0 {\n    right: auto;\n  }\n  .col-sm-push-12 {\n    left: 100%;\n  }\n  .col-sm-push-11 {\n    left: 91.66666667%;\n  }\n  .col-sm-push-10 {\n    left: 83.33333333%;\n  }\n  .col-sm-push-9 {\n    left: 75%;\n  }\n  .col-sm-push-8 {\n    left: 66.66666667%;\n  }\n  .col-sm-push-7 {\n    left: 58.33333333%;\n  }\n  .col-sm-push-6 {\n    left: 50%;\n  }\n  .col-sm-push-5 {\n    left: 41.66666667%;\n  }\n  .col-sm-push-4 {\n    left: 33.33333333%;\n  }\n  .col-sm-push-3 {\n    left: 25%;\n  }\n  .col-sm-push-2 {\n    left: 16.66666667%;\n  }\n  .col-sm-push-1 {\n    left: 8.33333333%;\n  }\n  .col-sm-push-0 {\n    left: auto;\n  }\n  .col-sm-offset-12 {\n    margin-left: 100%;\n  }\n  .col-sm-offset-11 {\n    margin-left: 91.66666667%;\n  }\n  .col-sm-offset-10 {\n    margin-left: 83.33333333%;\n  }\n  .col-sm-offset-9 {\n    margin-left: 75%;\n  }\n  .col-sm-offset-8 {\n    margin-left: 66.66666667%;\n  }\n  .col-sm-offset-7 {\n    margin-left: 58.33333333%;\n  }\n  .col-sm-offset-6 {\n    margin-left: 50%;\n  }\n  .col-sm-offset-5 {\n    margin-left: 41.66666667%;\n  }\n  .col-sm-offset-4 {\n    margin-left: 33.33333333%;\n  }\n  .col-sm-offset-3 {\n    margin-left: 25%;\n  }\n  .col-sm-offset-2 {\n    margin-left: 16.66666667%;\n  }\n  .col-sm-offset-1 {\n    margin-left: 8.33333333%;\n  }\n  .col-sm-offset-0 {\n    margin-left: 0%;\n  }\n}\n@media (min-width: 992px) {\n  .col-md-1,\n  .col-md-2,\n  .col-md-3,\n  .col-md-4,\n  .col-md-5,\n  .col-md-6,\n  .col-md-7,\n  .col-md-8,\n  .col-md-9,\n  .col-md-10,\n  .col-md-11,\n  .col-md-12 {\n    float: left;\n  }\n  .col-md-12 {\n    width: 100%;\n  }\n  .col-md-11 {\n    width: 91.66666667%;\n  }\n  .col-md-10 {\n    width: 83.33333333%;\n  }\n  .col-md-9 {\n    width: 75%;\n  }\n  .col-md-8 {\n    width: 66.66666667%;\n  }\n  .col-md-7 {\n    width: 58.33333333%;\n  }\n  .col-md-6 {\n    width: 50%;\n  }\n  .col-md-5 {\n    width: 41.66666667%;\n  }\n  .col-md-4 {\n    width: 33.33333333%;\n  }\n  .col-md-3 {\n    width: 25%;\n  }\n  .col-md-2 {\n    width: 16.66666667%;\n  }\n  .col-md-1 {\n    width: 8.33333333%;\n  }\n  .col-md-pull-12 {\n    right: 100%;\n  }\n  .col-md-pull-11 {\n    right: 91.66666667%;\n  }\n  .col-md-pull-10 {\n    right: 83.33333333%;\n  }\n  .col-md-pull-9 {\n    right: 75%;\n  }\n  .col-md-pull-8 {\n    right: 66.66666667%;\n  }\n  .col-md-pull-7 {\n    right: 58.33333333%;\n  }\n  .col-md-pull-6 {\n    right: 50%;\n  }\n  .col-md-pull-5 {\n    right: 41.66666667%;\n  }\n  .col-md-pull-4 {\n    right: 33.33333333%;\n  }\n  .col-md-pull-3 {\n    right: 25%;\n  }\n  .col-md-pull-2 {\n    right: 16.66666667%;\n  }\n  .col-md-pull-1 {\n    right: 8.33333333%;\n  }\n  .col-md-pull-0 {\n    right: auto;\n  }\n  .col-md-push-12 {\n    left: 100%;\n  }\n  .col-md-push-11 {\n    left: 91.66666667%;\n  }\n  .col-md-push-10 {\n    left: 83.33333333%;\n  }\n  .col-md-push-9 {\n    left: 75%;\n  }\n  .col-md-push-8 {\n    left: 66.66666667%;\n  }\n  .col-md-push-7 {\n    left: 58.33333333%;\n  }\n  .col-md-push-6 {\n    left: 50%;\n  }\n  .col-md-push-5 {\n    left: 41.66666667%;\n  }\n  .col-md-push-4 {\n    left: 33.33333333%;\n  }\n  .col-md-push-3 {\n    left: 25%;\n  }\n  .col-md-push-2 {\n    left: 16.66666667%;\n  }\n  .col-md-push-1 {\n    left: 8.33333333%;\n  }\n  .col-md-push-0 {\n    left: auto;\n  }\n  .col-md-offset-12 {\n    margin-left: 100%;\n  }\n  .col-md-offset-11 {\n    margin-left: 91.66666667%;\n  }\n  .col-md-offset-10 {\n    margin-left: 83.33333333%;\n  }\n  .col-md-offset-9 {\n    margin-left: 75%;\n  }\n  .col-md-offset-8 {\n    margin-left: 66.66666667%;\n  }\n  .col-md-offset-7 {\n    margin-left: 58.33333333%;\n  }\n  .col-md-offset-6 {\n    margin-left: 50%;\n  }\n  .col-md-offset-5 {\n    margin-left: 41.66666667%;\n  }\n  .col-md-offset-4 {\n    margin-left: 33.33333333%;\n  }\n  .col-md-offset-3 {\n    margin-left: 25%;\n  }\n  .col-md-offset-2 {\n    margin-left: 16.66666667%;\n  }\n  .col-md-offset-1 {\n    margin-left: 8.33333333%;\n  }\n  .col-md-offset-0 {\n    margin-left: 0%;\n  }\n}\n@media (min-width: 1200px) {\n  .col-lg-1,\n  .col-lg-2,\n  .col-lg-3,\n  .col-lg-4,\n  .col-lg-5,\n  .col-lg-6,\n  .col-lg-7,\n  .col-lg-8,\n  .col-lg-9,\n  .col-lg-10,\n  .col-lg-11,\n  .col-lg-12 {\n    float: left;\n  }\n  .col-lg-12 {\n    width: 100%;\n  }\n  .col-lg-11 {\n    width: 91.66666667%;\n  }\n  .col-lg-10 {\n    width: 83.33333333%;\n  }\n  .col-lg-9 {\n    width: 75%;\n  }\n  .col-lg-8 {\n    width: 66.66666667%;\n  }\n  .col-lg-7 {\n    width: 58.33333333%;\n  }\n  .col-lg-6 {\n    width: 50%;\n  }\n  .col-lg-5 {\n    width: 41.66666667%;\n  }\n  .col-lg-4 {\n    width: 33.33333333%;\n  }\n  .col-lg-3 {\n    width: 25%;\n  }\n  .col-lg-2 {\n    width: 16.66666667%;\n  }\n  .col-lg-1 {\n    width: 8.33333333%;\n  }\n  .col-lg-pull-12 {\n    right: 100%;\n  }\n  .col-lg-pull-11 {\n    right: 91.66666667%;\n  }\n  .col-lg-pull-10 {\n    right: 83.33333333%;\n  }\n  .col-lg-pull-9 {\n    right: 75%;\n  }\n  .col-lg-pull-8 {\n    right: 66.66666667%;\n  }\n  .col-lg-pull-7 {\n    right: 58.33333333%;\n  }\n  .col-lg-pull-6 {\n    right: 50%;\n  }\n  .col-lg-pull-5 {\n    right: 41.66666667%;\n  }\n  .col-lg-pull-4 {\n    right: 33.33333333%;\n  }\n  .col-lg-pull-3 {\n    right: 25%;\n  }\n  .col-lg-pull-2 {\n    right: 16.66666667%;\n  }\n  .col-lg-pull-1 {\n    right: 8.33333333%;\n  }\n  .col-lg-pull-0 {\n    right: auto;\n  }\n  .col-lg-push-12 {\n    left: 100%;\n  }\n  .col-lg-push-11 {\n    left: 91.66666667%;\n  }\n  .col-lg-push-10 {\n    left: 83.33333333%;\n  }\n  .col-lg-push-9 {\n    left: 75%;\n  }\n  .col-lg-push-8 {\n    left: 66.66666667%;\n  }\n  .col-lg-push-7 {\n    left: 58.33333333%;\n  }\n  .col-lg-push-6 {\n    left: 50%;\n  }\n  .col-lg-push-5 {\n    left: 41.66666667%;\n  }\n  .col-lg-push-4 {\n    left: 33.33333333%;\n  }\n  .col-lg-push-3 {\n    left: 25%;\n  }\n  .col-lg-push-2 {\n    left: 16.66666667%;\n  }\n  .col-lg-push-1 {\n    left: 8.33333333%;\n  }\n  .col-lg-push-0 {\n    left: auto;\n  }\n  .col-lg-offset-12 {\n    margin-left: 100%;\n  }\n  .col-lg-offset-11 {\n    margin-left: 91.66666667%;\n  }\n  .col-lg-offset-10 {\n    margin-left: 83.33333333%;\n  }\n  .col-lg-offset-9 {\n    margin-left: 75%;\n  }\n  .col-lg-offset-8 {\n    margin-left: 66.66666667%;\n  }\n  .col-lg-offset-7 {\n    margin-left: 58.33333333%;\n  }\n  .col-lg-offset-6 {\n    margin-left: 50%;\n  }\n  .col-lg-offset-5 {\n    margin-left: 41.66666667%;\n  }\n  .col-lg-offset-4 {\n    margin-left: 33.33333333%;\n  }\n  .col-lg-offset-3 {\n    margin-left: 25%;\n  }\n  .col-lg-offset-2 {\n    margin-left: 16.66666667%;\n  }\n  .col-lg-offset-1 {\n    margin-left: 8.33333333%;\n  }\n  .col-lg-offset-0 {\n    margin-left: 0%;\n  }\n}\ntable {\n  background-color: transparent;\n}\ntable col[class*=\"col-\"] {\n  position: static;\n  display: table-column;\n  float: none;\n}\ntable td[class*=\"col-\"],\ntable th[class*=\"col-\"] {\n  position: static;\n  display: table-cell;\n  float: none;\n}\ncaption {\n  padding-top: 8px;\n  padding-bottom: 8px;\n  color: #777777;\n  text-align: left;\n}\nth {\n  text-align: left;\n}\n.table {\n  width: 100%;\n  max-width: 100%;\n  margin-bottom: 20px;\n}\n.table > thead > tr > th,\n.table > tbody > tr > th,\n.table > tfoot > tr > th,\n.table > thead > tr > td,\n.table > tbody > tr > td,\n.table > tfoot > tr > td {\n  padding: 8px;\n  line-height: 1.42857143;\n  vertical-align: top;\n  border-top: 1px solid #ddd;\n}\n.table > thead > tr > th {\n  vertical-align: bottom;\n  border-bottom: 2px solid #ddd;\n}\n.table > caption + thead > tr:first-child > th,\n.table > colgroup + thead > tr:first-child > th,\n.table > thead:first-child > tr:first-child > th,\n.table > caption + thead > tr:first-child > td,\n.table > colgroup + thead > tr:first-child > td,\n.table > thead:first-child > tr:first-child > td {\n  border-top: 0;\n}\n.table > tbody + tbody {\n  border-top: 2px solid #ddd;\n}\n.table .table {\n  background-color: #fff;\n}\n.table-condensed > thead > tr > th,\n.table-condensed > tbody > tr > th,\n.table-condensed > tfoot > tr > th,\n.table-condensed > thead > tr > td,\n.table-condensed > tbody > tr > td,\n.table-condensed > tfoot > tr > td {\n  padding: 5px;\n}\n.table-bordered {\n  border: 1px solid #ddd;\n}\n.table-bordered > thead > tr > th,\n.table-bordered > tbody > tr > th,\n.table-bordered > tfoot > tr > th,\n.table-bordered > thead > tr > td,\n.table-bordered > tbody > tr > td,\n.table-bordered > tfoot > tr > td {\n  border: 1px solid #ddd;\n}\n.table-bordered > thead > tr > th,\n.table-bordered > thead > tr > td {\n  border-bottom-width: 2px;\n}\n.table-striped > tbody > tr:nth-of-type(odd) {\n  background-color: #f9f9f9;\n}\n.table-hover > tbody > tr:hover {\n  background-color: #f5f5f5;\n}\n.table > thead > tr > td.active,\n.table > tbody > tr > td.active,\n.table > tfoot > tr > td.active,\n.table > thead > tr > th.active,\n.table > tbody > tr > th.active,\n.table > tfoot > tr > th.active,\n.table > thead > tr.active > td,\n.table > tbody > tr.active > td,\n.table > tfoot > tr.active > td,\n.table > thead > tr.active > th,\n.table > tbody > tr.active > th,\n.table > tfoot > tr.active > th {\n  background-color: #f5f5f5;\n}\n.table-hover > tbody > tr > td.active:hover,\n.table-hover > tbody > tr > th.active:hover,\n.table-hover > tbody > tr.active:hover > td,\n.table-hover > tbody > tr:hover > .active,\n.table-hover > tbody > tr.active:hover > th {\n  background-color: #e8e8e8;\n}\n.table > thead > tr > td.success,\n.table > tbody > tr > td.success,\n.table > tfoot > tr > td.success,\n.table > thead > tr > th.success,\n.table > tbody > tr > th.success,\n.table > tfoot > tr > th.success,\n.table > thead > tr.success > td,\n.table > tbody > tr.success > td,\n.table > tfoot > tr.success > td,\n.table > thead > tr.success > th,\n.table > tbody > tr.success > th,\n.table > tfoot > tr.success > th {\n  background-color: #dff0d8;\n}\n.table-hover > tbody > tr > td.success:hover,\n.table-hover > tbody > tr > th.success:hover,\n.table-hover > tbody > tr.success:hover > td,\n.table-hover > tbody > tr:hover > .success,\n.table-hover > tbody > tr.success:hover > th {\n  background-color: #d0e9c6;\n}\n.table > thead > tr > td.info,\n.table > tbody > tr > td.info,\n.table > tfoot > tr > td.info,\n.table > thead > tr > th.info,\n.table > tbody > tr > th.info,\n.table > tfoot > tr > th.info,\n.table > thead > tr.info > td,\n.table > tbody > tr.info > td,\n.table > tfoot > tr.info > td,\n.table > thead > tr.info > th,\n.table > tbody > tr.info > th,\n.table > tfoot > tr.info > th {\n  background-color: #d9edf7;\n}\n.table-hover > tbody > tr > td.info:hover,\n.table-hover > tbody > tr > th.info:hover,\n.table-hover > tbody > tr.info:hover > td,\n.table-hover > tbody > tr:hover > .info,\n.table-hover > tbody > tr.info:hover > th {\n  background-color: #c4e3f3;\n}\n.table > thead > tr > td.warning,\n.table > tbody > tr > td.warning,\n.table > tfoot > tr > td.warning,\n.table > thead > tr > th.warning,\n.table > tbody > tr > th.warning,\n.table > tfoot > tr > th.warning,\n.table > thead > tr.warning > td,\n.table > tbody > tr.warning > td,\n.table > tfoot > tr.warning > td,\n.table > thead > tr.warning > th,\n.table > tbody > tr.warning > th,\n.table > tfoot > tr.warning > th {\n  background-color: #fcf8e3;\n}\n.table-hover > tbody > tr > td.warning:hover,\n.table-hover > tbody > tr > th.warning:hover,\n.table-hover > tbody > tr.warning:hover > td,\n.table-hover > tbody > tr:hover > .warning,\n.table-hover > tbody > tr.warning:hover > th {\n  background-color: #faf2cc;\n}\n.table > thead > tr > td.danger,\n.table > tbody > tr > td.danger,\n.table > tfoot > tr > td.danger,\n.table > thead > tr > th.danger,\n.table > tbody > tr > th.danger,\n.table > tfoot > tr > th.danger,\n.table > thead > tr.danger > td,\n.table > tbody > tr.danger > td,\n.table > tfoot > tr.danger > td,\n.table > thead > tr.danger > th,\n.table > tbody > tr.danger > th,\n.table > tfoot > tr.danger > th {\n  background-color: #f2dede;\n}\n.table-hover > tbody > tr > td.danger:hover,\n.table-hover > tbody > tr > th.danger:hover,\n.table-hover > tbody > tr.danger:hover > td,\n.table-hover > tbody > tr:hover > .danger,\n.table-hover > tbody > tr.danger:hover > th {\n  background-color: #ebcccc;\n}\n.table-responsive {\n  min-height: 0.01%;\n  overflow-x: auto;\n}\n@media screen and (max-width: 767px) {\n  .table-responsive {\n    width: 100%;\n    margin-bottom: 15px;\n    overflow-y: hidden;\n    -ms-overflow-style: -ms-autohiding-scrollbar;\n    border: 1px solid #ddd;\n  }\n  .table-responsive > .table {\n    margin-bottom: 0;\n  }\n  .table-responsive > .table > thead > tr > th,\n  .table-responsive > .table > tbody > tr > th,\n  .table-responsive > .table > tfoot > tr > th,\n  .table-responsive > .table > thead > tr > td,\n  .table-responsive > .table > tbody > tr > td,\n  .table-responsive > .table > tfoot > tr > td {\n    white-space: nowrap;\n  }\n  .table-responsive > .table-bordered {\n    border: 0;\n  }\n  .table-responsive > .table-bordered > thead > tr > th:first-child,\n  .table-responsive > .table-bordered > tbody > tr > th:first-child,\n  .table-responsive > .table-bordered > tfoot > tr > th:first-child,\n  .table-responsive > .table-bordered > thead > tr > td:first-child,\n  .table-responsive > .table-bordered > tbody > tr > td:first-child,\n  .table-responsive > .table-bordered > tfoot > tr > td:first-child {\n    border-left: 0;\n  }\n  .table-responsive > .table-bordered > thead > tr > th:last-child,\n  .table-responsive > .table-bordered > tbody > tr > th:last-child,\n  .table-responsive > .table-bordered > tfoot > tr > th:last-child,\n  .table-responsive > .table-bordered > thead > tr > td:last-child,\n  .table-responsive > .table-bordered > tbody > tr > td:last-child,\n  .table-responsive > .table-bordered > tfoot > tr > td:last-child {\n    border-right: 0;\n  }\n  .table-responsive > .table-bordered > tbody > tr:last-child > th,\n  .table-responsive > .table-bordered > tfoot > tr:last-child > th,\n  .table-responsive > .table-bordered > tbody > tr:last-child > td,\n  .table-responsive > .table-bordered > tfoot > tr:last-child > td {\n    border-bottom: 0;\n  }\n}\nfieldset {\n  min-width: 0;\n  padding: 0;\n  margin: 0;\n  border: 0;\n}\nlegend {\n  display: block;\n  width: 100%;\n  padding: 0;\n  margin-bottom: 20px;\n  font-size: 21px;\n  line-height: inherit;\n  color: #333333;\n  border: 0;\n  border-bottom: 1px solid #e5e5e5;\n}\nlabel {\n  display: inline-block;\n  max-width: 100%;\n  margin-bottom: 5px;\n  font-weight: 700;\n}\ninput[type=\"search\"] {\n  -webkit-box-sizing: border-box;\n  -moz-box-sizing: border-box;\n  box-sizing: border-box;\n  -webkit-appearance: none;\n  -moz-appearance: none;\n  appearance: none;\n}\ninput[type=\"radio\"],\ninput[type=\"checkbox\"] {\n  margin: 4px 0 0;\n  margin-top: 1px \\9;\n  line-height: normal;\n}\ninput[type=\"radio\"][disabled],\ninput[type=\"checkbox\"][disabled],\ninput[type=\"radio\"].disabled,\ninput[type=\"checkbox\"].disabled,\nfieldset[disabled] input[type=\"radio\"],\nfieldset[disabled] input[type=\"checkbox\"] {\n  cursor: not-allowed;\n}\ninput[type=\"file\"] {\n  display: block;\n}\ninput[type=\"range\"] {\n  display: block;\n  width: 100%;\n}\nselect[multiple],\nselect[size] {\n  height: auto;\n}\ninput[type=\"file\"]:focus,\ninput[type=\"radio\"]:focus,\ninput[type=\"checkbox\"]:focus {\n  outline: 5px auto -webkit-focus-ring-color;\n  outline-offset: -2px;\n}\noutput {\n  display: block;\n  padding-top: 7px;\n  font-size: 14px;\n  line-height: 1.42857143;\n  color: #555555;\n}\n.form-control {\n  display: block;\n  width: 100%;\n  height: 34px;\n  padding: 6px 12px;\n  font-size: 14px;\n  line-height: 1.42857143;\n  color: #555555;\n  background-color: #fff;\n  background-image: none;\n  border: 1px solid #ccc;\n  border-radius: 4px;\n  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);\n  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);\n  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;\n  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;\n  -webkit-transition: border-color ease-in-out .15s, -webkit-box-shadow ease-in-out .15s;\n  transition: border-color ease-in-out .15s, -webkit-box-shadow ease-in-out .15s;\n  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;\n  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s, -webkit-box-shadow ease-in-out .15s;\n}\n.form-control:focus {\n  border-color: #66afe9;\n  outline: 0;\n  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, .075), 0 0 8px rgba(102, 175, 233, 0.6);\n  box-shadow: inset 0 1px 1px rgba(0, 0, 0, .075), 0 0 8px rgba(102, 175, 233, 0.6);\n}\n.form-control::-moz-placeholder {\n  color: #999;\n  opacity: 1;\n}\n.form-control:-ms-input-placeholder {\n  color: #999;\n}\n.form-control::-webkit-input-placeholder {\n  color: #999;\n}\n.form-control::-ms-expand {\n  background-color: transparent;\n  border: 0;\n}\n.form-control[disabled],\n.form-control[readonly],\nfieldset[disabled] .form-control {\n  background-color: #eeeeee;\n  opacity: 1;\n}\n.form-control[disabled],\nfieldset[disabled] .form-control {\n  cursor: not-allowed;\n}\ntextarea.form-control {\n  height: auto;\n}\n@media screen and (-webkit-min-device-pixel-ratio: 0) {\n  input[type=\"date\"].form-control,\n  input[type=\"time\"].form-control,\n  input[type=\"datetime-local\"].form-control,\n  input[type=\"month\"].form-control {\n    line-height: 34px;\n  }\n  input[type=\"date\"].input-sm,\n  input[type=\"time\"].input-sm,\n  input[type=\"datetime-local\"].input-sm,\n  input[type=\"month\"].input-sm,\n  .input-group-sm input[type=\"date\"],\n  .input-group-sm input[type=\"time\"],\n  .input-group-sm input[type=\"datetime-local\"],\n  .input-group-sm input[type=\"month\"] {\n    line-height: 30px;\n  }\n  input[type=\"date\"].input-lg,\n  input[type=\"time\"].input-lg,\n  input[type=\"datetime-local\"].input-lg,\n  input[type=\"month\"].input-lg,\n  .input-group-lg input[type=\"date\"],\n  .input-group-lg input[type=\"time\"],\n  .input-group-lg input[type=\"datetime-local\"],\n  .input-group-lg input[type=\"month\"] {\n    line-height: 46px;\n  }\n}\n.form-group {\n  margin-bottom: 15px;\n}\n.radio,\n.checkbox {\n  position: relative;\n  display: block;\n  margin-top: 10px;\n  margin-bottom: 10px;\n}\n.radio.disabled label,\n.checkbox.disabled label,\nfieldset[disabled] .radio label,\nfieldset[disabled] .checkbox label {\n  cursor: not-allowed;\n}\n.radio label,\n.checkbox label {\n  min-height: 20px;\n  padding-left: 20px;\n  margin-bottom: 0;\n  font-weight: 400;\n  cursor: pointer;\n}\n.radio input[type=\"radio\"],\n.radio-inline input[type=\"radio\"],\n.checkbox input[type=\"checkbox\"],\n.checkbox-inline input[type=\"checkbox\"] {\n  position: absolute;\n  margin-top: 4px \\9;\n  margin-left: -20px;\n}\n.radio + .radio,\n.checkbox + .checkbox {\n  margin-top: -5px;\n}\n.radio-inline,\n.checkbox-inline {\n  position: relative;\n  display: inline-block;\n  padding-left: 20px;\n  margin-bottom: 0;\n  font-weight: 400;\n  vertical-align: middle;\n  cursor: pointer;\n}\n.radio-inline.disabled,\n.checkbox-inline.disabled,\nfieldset[disabled] .radio-inline,\nfieldset[disabled] .checkbox-inline {\n  cursor: not-allowed;\n}\n.radio-inline + .radio-inline,\n.checkbox-inline + .checkbox-inline {\n  margin-top: 0;\n  margin-left: 10px;\n}\n.form-control-static {\n  min-height: 34px;\n  padding-top: 7px;\n  padding-bottom: 7px;\n  margin-bottom: 0;\n}\n.form-control-static.input-lg,\n.form-control-static.input-sm {\n  padding-right: 0;\n  padding-left: 0;\n}\n.input-sm {\n  height: 30px;\n  padding: 5px 10px;\n  font-size: 12px;\n  line-height: 1.5;\n  border-radius: 3px;\n}\nselect.input-sm {\n  height: 30px;\n  line-height: 30px;\n}\ntextarea.input-sm,\nselect[multiple].input-sm {\n  height: auto;\n}\n.form-group-sm .form-control {\n  height: 30px;\n  padding: 5px 10px;\n  font-size: 12px;\n  line-height: 1.5;\n  border-radius: 3px;\n}\n.form-group-sm select.form-control {\n  height: 30px;\n  line-height: 30px;\n}\n.form-group-sm textarea.form-control,\n.form-group-sm select[multiple].form-control {\n  height: auto;\n}\n.form-group-sm .form-control-static {\n  height: 30px;\n  min-height: 32px;\n  padding: 6px 10px;\n  font-size: 12px;\n  line-height: 1.5;\n}\n.input-lg {\n  height: 46px;\n  padding: 10px 16px;\n  font-size: 18px;\n  line-height: 1.3333333;\n  border-radius: 6px;\n}\nselect.input-lg {\n  height: 46px;\n  line-height: 46px;\n}\ntextarea.input-lg,\nselect[multiple].input-lg {\n  height: auto;\n}\n.form-group-lg .form-control {\n  height: 46px;\n  padding: 10px 16px;\n  font-size: 18px;\n  line-height: 1.3333333;\n  border-radius: 6px;\n}\n.form-group-lg select.form-control {\n  height: 46px;\n  line-height: 46px;\n}\n.form-group-lg textarea.form-control,\n.form-group-lg select[multiple].form-control {\n  height: auto;\n}\n.form-group-lg .form-control-static {\n  height: 46px;\n  min-height: 38px;\n  padding: 11px 16px;\n  font-size: 18px;\n  line-height: 1.3333333;\n}\n.has-feedback {\n  position: relative;\n}\n.has-feedback .form-control {\n  padding-right: 42.5px;\n}\n.form-control-feedback {\n  position: absolute;\n  top: 0;\n  right: 0;\n  z-index: 2;\n  display: block;\n  width: 34px;\n  height: 34px;\n  line-height: 34px;\n  text-align: center;\n  pointer-events: none;\n}\n.input-lg + .form-control-feedback,\n.input-group-lg + .form-control-feedback,\n.form-group-lg .form-control + .form-control-feedback {\n  width: 46px;\n  height: 46px;\n  line-height: 46px;\n}\n.input-sm + .form-control-feedback,\n.input-group-sm + .form-control-feedback,\n.form-group-sm .form-control + .form-control-feedback {\n  width: 30px;\n  height: 30px;\n  line-height: 30px;\n}\n.has-success .help-block,\n.has-success .control-label,\n.has-success .radio,\n.has-success .checkbox,\n.has-success .radio-inline,\n.has-success .checkbox-inline,\n.has-success.radio label,\n.has-success.checkbox label,\n.has-success.radio-inline label,\n.has-success.checkbox-inline label {\n  color: #3c763d;\n}\n.has-success .form-control {\n  border-color: #3c763d;\n  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);\n  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);\n}\n.has-success .form-control:focus {\n  border-color: #2b542c;\n  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #67b168;\n  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #67b168;\n}\n.has-success .input-group-addon {\n  color: #3c763d;\n  background-color: #dff0d8;\n  border-color: #3c763d;\n}\n.has-success .form-control-feedback {\n  color: #3c763d;\n}\n.has-warning .help-block,\n.has-warning .control-label,\n.has-warning .radio,\n.has-warning .checkbox,\n.has-warning .radio-inline,\n.has-warning .checkbox-inline,\n.has-warning.radio label,\n.has-warning.checkbox label,\n.has-warning.radio-inline label,\n.has-warning.checkbox-inline label {\n  color: #8a6d3b;\n}\n.has-warning .form-control {\n  border-color: #8a6d3b;\n  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);\n  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);\n}\n.has-warning .form-control:focus {\n  border-color: #66512c;\n  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #c0a16b;\n  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #c0a16b;\n}\n.has-warning .input-group-addon {\n  color: #8a6d3b;\n  background-color: #fcf8e3;\n  border-color: #8a6d3b;\n}\n.has-warning .form-control-feedback {\n  color: #8a6d3b;\n}\n.has-error .help-block,\n.has-error .control-label,\n.has-error .radio,\n.has-error .checkbox,\n.has-error .radio-inline,\n.has-error .checkbox-inline,\n.has-error.radio label,\n.has-error.checkbox label,\n.has-error.radio-inline label,\n.has-error.checkbox-inline label {\n  color: #a94442;\n}\n.has-error .form-control {\n  border-color: #a94442;\n  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);\n  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);\n}\n.has-error .form-control:focus {\n  border-color: #843534;\n  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483;\n  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483;\n}\n.has-error .input-group-addon {\n  color: #a94442;\n  background-color: #f2dede;\n  border-color: #a94442;\n}\n.has-error .form-control-feedback {\n  color: #a94442;\n}\n.has-feedback label ~ .form-control-feedback {\n  top: 25px;\n}\n.has-feedback label.sr-only ~ .form-control-feedback {\n  top: 0;\n}\n.help-block {\n  display: block;\n  margin-top: 5px;\n  margin-bottom: 10px;\n  color: #737373;\n}\n@media (min-width: 768px) {\n  .form-inline .form-group {\n    display: inline-block;\n    margin-bottom: 0;\n    vertical-align: middle;\n  }\n  .form-inline .form-control {\n    display: inline-block;\n    width: auto;\n    vertical-align: middle;\n  }\n  .form-inline .form-control-static {\n    display: inline-block;\n  }\n  .form-inline .input-group {\n    display: inline-table;\n    vertical-align: middle;\n  }\n  .form-inline .input-group .input-group-addon,\n  .form-inline .input-group .input-group-btn,\n  .form-inline .input-group .form-control {\n    width: auto;\n  }\n  .form-inline .input-group > .form-control {\n    width: 100%;\n  }\n  .form-inline .control-label {\n    margin-bottom: 0;\n    vertical-align: middle;\n  }\n  .form-inline .radio,\n  .form-inline .checkbox {\n    display: inline-block;\n    margin-top: 0;\n    margin-bottom: 0;\n    vertical-align: middle;\n  }\n  .form-inline .radio label,\n  .form-inline .checkbox label {\n    padding-left: 0;\n  }\n  .form-inline .radio input[type=\"radio\"],\n  .form-inline .checkbox input[type=\"checkbox\"] {\n    position: relative;\n    margin-left: 0;\n  }\n  .form-inline .has-feedback .form-control-feedback {\n    top: 0;\n  }\n}\n.form-horizontal .radio,\n.form-horizontal .checkbox,\n.form-horizontal .radio-inline,\n.form-horizontal .checkbox-inline {\n  padding-top: 7px;\n  margin-top: 0;\n  margin-bottom: 0;\n}\n.form-horizontal .radio,\n.form-horizontal .checkbox {\n  min-height: 27px;\n}\n.form-horizontal .form-group {\n  margin-right: -15px;\n  margin-left: -15px;\n}\n@media (min-width: 768px) {\n  .form-horizontal .control-label {\n    padding-top: 7px;\n    margin-bottom: 0;\n    text-align: right;\n  }\n}\n.form-horizontal .has-feedback .form-control-feedback {\n  right: 15px;\n}\n@media (min-width: 768px) {\n  .form-horizontal .form-group-lg .control-label {\n    padding-top: 11px;\n    font-size: 18px;\n  }\n}\n@media (min-width: 768px) {\n  .form-horizontal .form-group-sm .control-label {\n    padding-top: 6px;\n    font-size: 12px;\n  }\n}\n.btn {\n  display: inline-block;\n  margin-bottom: 0;\n  font-weight: normal;\n  text-align: center;\n  white-space: nowrap;\n  vertical-align: middle;\n  -ms-touch-action: manipulation;\n  touch-action: manipulation;\n  cursor: pointer;\n  background-image: none;\n  border: 1px solid transparent;\n  padding: 6px 12px;\n  font-size: 14px;\n  line-height: 1.42857143;\n  border-radius: 4px;\n  -webkit-user-select: none;\n  -moz-user-select: none;\n  -ms-user-select: none;\n  user-select: none;\n}\n.btn:focus,\n.btn:active:focus,\n.btn.active:focus,\n.btn.focus,\n.btn:active.focus,\n.btn.active.focus {\n  outline: 5px auto -webkit-focus-ring-color;\n  outline-offset: -2px;\n}\n.btn:hover,\n.btn:focus,\n.btn.focus {\n  color: #333;\n  text-decoration: none;\n}\n.btn:active,\n.btn.active {\n  background-image: none;\n  outline: 0;\n  -webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n}\n.btn.disabled,\n.btn[disabled],\nfieldset[disabled] .btn {\n  cursor: not-allowed;\n  filter: alpha(opacity=65);\n  opacity: 0.65;\n  -webkit-box-shadow: none;\n  box-shadow: none;\n}\na.btn.disabled,\nfieldset[disabled] a.btn {\n  pointer-events: none;\n}\n.btn-default {\n  color: #333;\n  background-color: #fff;\n  border-color: #ccc;\n}\n.btn-default:focus,\n.btn-default.focus {\n  color: #333;\n  background-color: #e6e6e6;\n  border-color: #8c8c8c;\n}\n.btn-default:hover {\n  color: #333;\n  background-color: #e6e6e6;\n  border-color: #adadad;\n}\n.btn-default:active,\n.btn-default.active,\n.open > .dropdown-toggle.btn-default {\n  color: #333;\n  background-color: #e6e6e6;\n  background-image: none;\n  border-color: #adadad;\n}\n.btn-default:active:hover,\n.btn-default.active:hover,\n.open > .dropdown-toggle.btn-default:hover,\n.btn-default:active:focus,\n.btn-default.active:focus,\n.open > .dropdown-toggle.btn-default:focus,\n.btn-default:active.focus,\n.btn-default.active.focus,\n.open > .dropdown-toggle.btn-default.focus {\n  color: #333;\n  background-color: #d4d4d4;\n  border-color: #8c8c8c;\n}\n.btn-default.disabled:hover,\n.btn-default[disabled]:hover,\nfieldset[disabled] .btn-default:hover,\n.btn-default.disabled:focus,\n.btn-default[disabled]:focus,\nfieldset[disabled] .btn-default:focus,\n.btn-default.disabled.focus,\n.btn-default[disabled].focus,\nfieldset[disabled] .btn-default.focus {\n  background-color: #fff;\n  border-color: #ccc;\n}\n.btn-default .badge {\n  color: #fff;\n  background-color: #333;\n}\n.btn-primary {\n  color: #fff;\n  background-color: #337ab7;\n  border-color: #2e6da4;\n}\n.btn-primary:focus,\n.btn-primary.focus {\n  color: #fff;\n  background-color: #286090;\n  border-color: #122b40;\n}\n.btn-primary:hover {\n  color: #fff;\n  background-color: #286090;\n  border-color: #204d74;\n}\n.btn-primary:active,\n.btn-primary.active,\n.open > .dropdown-toggle.btn-primary {\n  color: #fff;\n  background-color: #286090;\n  background-image: none;\n  border-color: #204d74;\n}\n.btn-primary:active:hover,\n.btn-primary.active:hover,\n.open > .dropdown-toggle.btn-primary:hover,\n.btn-primary:active:focus,\n.btn-primary.active:focus,\n.open > .dropdown-toggle.btn-primary:focus,\n.btn-primary:active.focus,\n.btn-primary.active.focus,\n.open > .dropdown-toggle.btn-primary.focus {\n  color: #fff;\n  background-color: #204d74;\n  border-color: #122b40;\n}\n.btn-primary.disabled:hover,\n.btn-primary[disabled]:hover,\nfieldset[disabled] .btn-primary:hover,\n.btn-primary.disabled:focus,\n.btn-primary[disabled]:focus,\nfieldset[disabled] .btn-primary:focus,\n.btn-primary.disabled.focus,\n.btn-primary[disabled].focus,\nfieldset[disabled] .btn-primary.focus {\n  background-color: #337ab7;\n  border-color: #2e6da4;\n}\n.btn-primary .badge {\n  color: #337ab7;\n  background-color: #fff;\n}\n.btn-success {\n  color: #fff;\n  background-color: #5cb85c;\n  border-color: #4cae4c;\n}\n.btn-success:focus,\n.btn-success.focus {\n  color: #fff;\n  background-color: #449d44;\n  border-color: #255625;\n}\n.btn-success:hover {\n  color: #fff;\n  background-color: #449d44;\n  border-color: #398439;\n}\n.btn-success:active,\n.btn-success.active,\n.open > .dropdown-toggle.btn-success {\n  color: #fff;\n  background-color: #449d44;\n  background-image: none;\n  border-color: #398439;\n}\n.btn-success:active:hover,\n.btn-success.active:hover,\n.open > .dropdown-toggle.btn-success:hover,\n.btn-success:active:focus,\n.btn-success.active:focus,\n.open > .dropdown-toggle.btn-success:focus,\n.btn-success:active.focus,\n.btn-success.active.focus,\n.open > .dropdown-toggle.btn-success.focus {\n  color: #fff;\n  background-color: #398439;\n  border-color: #255625;\n}\n.btn-success.disabled:hover,\n.btn-success[disabled]:hover,\nfieldset[disabled] .btn-success:hover,\n.btn-success.disabled:focus,\n.btn-success[disabled]:focus,\nfieldset[disabled] .btn-success:focus,\n.btn-success.disabled.focus,\n.btn-success[disabled].focus,\nfieldset[disabled] .btn-success.focus {\n  background-color: #5cb85c;\n  border-color: #4cae4c;\n}\n.btn-success .badge {\n  color: #5cb85c;\n  background-color: #fff;\n}\n.btn-info {\n  color: #fff;\n  background-color: #5bc0de;\n  border-color: #46b8da;\n}\n.btn-info:focus,\n.btn-info.focus {\n  color: #fff;\n  background-color: #31b0d5;\n  border-color: #1b6d85;\n}\n.btn-info:hover {\n  color: #fff;\n  background-color: #31b0d5;\n  border-color: #269abc;\n}\n.btn-info:active,\n.btn-info.active,\n.open > .dropdown-toggle.btn-info {\n  color: #fff;\n  background-color: #31b0d5;\n  background-image: none;\n  border-color: #269abc;\n}\n.btn-info:active:hover,\n.btn-info.active:hover,\n.open > .dropdown-toggle.btn-info:hover,\n.btn-info:active:focus,\n.btn-info.active:focus,\n.open > .dropdown-toggle.btn-info:focus,\n.btn-info:active.focus,\n.btn-info.active.focus,\n.open > .dropdown-toggle.btn-info.focus {\n  color: #fff;\n  background-color: #269abc;\n  border-color: #1b6d85;\n}\n.btn-info.disabled:hover,\n.btn-info[disabled]:hover,\nfieldset[disabled] .btn-info:hover,\n.btn-info.disabled:focus,\n.btn-info[disabled]:focus,\nfieldset[disabled] .btn-info:focus,\n.btn-info.disabled.focus,\n.btn-info[disabled].focus,\nfieldset[disabled] .btn-info.focus {\n  background-color: #5bc0de;\n  border-color: #46b8da;\n}\n.btn-info .badge {\n  color: #5bc0de;\n  background-color: #fff;\n}\n.btn-warning {\n  color: #fff;\n  background-color: #f0ad4e;\n  border-color: #eea236;\n}\n.btn-warning:focus,\n.btn-warning.focus {\n  color: #fff;\n  background-color: #ec971f;\n  border-color: #985f0d;\n}\n.btn-warning:hover {\n  color: #fff;\n  background-color: #ec971f;\n  border-color: #d58512;\n}\n.btn-warning:active,\n.btn-warning.active,\n.open > .dropdown-toggle.btn-warning {\n  color: #fff;\n  background-color: #ec971f;\n  background-image: none;\n  border-color: #d58512;\n}\n.btn-warning:active:hover,\n.btn-warning.active:hover,\n.open > .dropdown-toggle.btn-warning:hover,\n.btn-warning:active:focus,\n.btn-warning.active:focus,\n.open > .dropdown-toggle.btn-warning:focus,\n.btn-warning:active.focus,\n.btn-warning.active.focus,\n.open > .dropdown-toggle.btn-warning.focus {\n  color: #fff;\n  background-color: #d58512;\n  border-color: #985f0d;\n}\n.btn-warning.disabled:hover,\n.btn-warning[disabled]:hover,\nfieldset[disabled] .btn-warning:hover,\n.btn-warning.disabled:focus,\n.btn-warning[disabled]:focus,\nfieldset[disabled] .btn-warning:focus,\n.btn-warning.disabled.focus,\n.btn-warning[disabled].focus,\nfieldset[disabled] .btn-warning.focus {\n  background-color: #f0ad4e;\n  border-color: #eea236;\n}\n.btn-warning .badge {\n  color: #f0ad4e;\n  background-color: #fff;\n}\n.btn-danger {\n  color: #fff;\n  background-color: #d9534f;\n  border-color: #d43f3a;\n}\n.btn-danger:focus,\n.btn-danger.focus {\n  color: #fff;\n  background-color: #c9302c;\n  border-color: #761c19;\n}\n.btn-danger:hover {\n  color: #fff;\n  background-color: #c9302c;\n  border-color: #ac2925;\n}\n.btn-danger:active,\n.btn-danger.active,\n.open > .dropdown-toggle.btn-danger {\n  color: #fff;\n  background-color: #c9302c;\n  background-image: none;\n  border-color: #ac2925;\n}\n.btn-danger:active:hover,\n.btn-danger.active:hover,\n.open > .dropdown-toggle.btn-danger:hover,\n.btn-danger:active:focus,\n.btn-danger.active:focus,\n.open > .dropdown-toggle.btn-danger:focus,\n.btn-danger:active.focus,\n.btn-danger.active.focus,\n.open > .dropdown-toggle.btn-danger.focus {\n  color: #fff;\n  background-color: #ac2925;\n  border-color: #761c19;\n}\n.btn-danger.disabled:hover,\n.btn-danger[disabled]:hover,\nfieldset[disabled] .btn-danger:hover,\n.btn-danger.disabled:focus,\n.btn-danger[disabled]:focus,\nfieldset[disabled] .btn-danger:focus,\n.btn-danger.disabled.focus,\n.btn-danger[disabled].focus,\nfieldset[disabled] .btn-danger.focus {\n  background-color: #d9534f;\n  border-color: #d43f3a;\n}\n.btn-danger .badge {\n  color: #d9534f;\n  background-color: #fff;\n}\n.btn-link {\n  font-weight: 400;\n  color: #337ab7;\n  border-radius: 0;\n}\n.btn-link,\n.btn-link:active,\n.btn-link.active,\n.btn-link[disabled],\nfieldset[disabled] .btn-link {\n  background-color: transparent;\n  -webkit-box-shadow: none;\n  box-shadow: none;\n}\n.btn-link,\n.btn-link:hover,\n.btn-link:focus,\n.btn-link:active {\n  border-color: transparent;\n}\n.btn-link:hover,\n.btn-link:focus {\n  color: #23527c;\n  text-decoration: underline;\n  background-color: transparent;\n}\n.btn-link[disabled]:hover,\nfieldset[disabled] .btn-link:hover,\n.btn-link[disabled]:focus,\nfieldset[disabled] .btn-link:focus {\n  color: #777777;\n  text-decoration: none;\n}\n.btn-lg,\n.btn-group-lg > .btn {\n  padding: 10px 16px;\n  font-size: 18px;\n  line-height: 1.3333333;\n  border-radius: 6px;\n}\n.btn-sm,\n.btn-group-sm > .btn {\n  padding: 5px 10px;\n  font-size: 12px;\n  line-height: 1.5;\n  border-radius: 3px;\n}\n.btn-xs,\n.btn-group-xs > .btn {\n  padding: 1px 5px;\n  font-size: 12px;\n  line-height: 1.5;\n  border-radius: 3px;\n}\n.btn-block {\n  display: block;\n  width: 100%;\n}\n.btn-block + .btn-block {\n  margin-top: 5px;\n}\ninput[type=\"submit\"].btn-block,\ninput[type=\"reset\"].btn-block,\ninput[type=\"button\"].btn-block {\n  width: 100%;\n}\n.fade {\n  opacity: 0;\n  -webkit-transition: opacity 0.15s linear;\n  -o-transition: opacity 0.15s linear;\n  transition: opacity 0.15s linear;\n}\n.fade.in {\n  opacity: 1;\n}\n.collapse {\n  display: none;\n}\n.collapse.in {\n  display: block;\n}\ntr.collapse.in {\n  display: table-row;\n}\ntbody.collapse.in {\n  display: table-row-group;\n}\n.collapsing {\n  position: relative;\n  height: 0;\n  overflow: hidden;\n  -webkit-transition-property: height, visibility;\n  -o-transition-property: height, visibility;\n  transition-property: height, visibility;\n  -webkit-transition-duration: 0.35s;\n  -o-transition-duration: 0.35s;\n  transition-duration: 0.35s;\n  -webkit-transition-timing-function: ease;\n  -o-transition-timing-function: ease;\n  transition-timing-function: ease;\n}\n.caret {\n  display: inline-block;\n  width: 0;\n  height: 0;\n  margin-left: 2px;\n  vertical-align: middle;\n  border-top: 4px dashed;\n  border-top: 4px solid \\9;\n  border-right: 4px solid transparent;\n  border-left: 4px solid transparent;\n}\n.dropup,\n.dropdown {\n  position: relative;\n}\n.dropdown-toggle:focus {\n  outline: 0;\n}\n.dropdown-menu {\n  position: absolute;\n  top: 100%;\n  left: 0;\n  z-index: 1000;\n  display: none;\n  float: left;\n  min-width: 160px;\n  padding: 5px 0;\n  margin: 2px 0 0;\n  font-size: 14px;\n  text-align: left;\n  list-style: none;\n  background-color: #fff;\n  background-clip: padding-box;\n  border: 1px solid #ccc;\n  border: 1px solid rgba(0, 0, 0, 0.15);\n  border-radius: 4px;\n  -webkit-box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);\n  box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);\n}\n.dropdown-menu.pull-right {\n  right: 0;\n  left: auto;\n}\n.dropdown-menu .divider {\n  height: 1px;\n  margin: 9px 0;\n  overflow: hidden;\n  background-color: #e5e5e5;\n}\n.dropdown-menu > li > a {\n  display: block;\n  padding: 3px 20px;\n  clear: both;\n  font-weight: 400;\n  line-height: 1.42857143;\n  color: #333333;\n  white-space: nowrap;\n}\n.dropdown-menu > li > a:hover,\n.dropdown-menu > li > a:focus {\n  color: #262626;\n  text-decoration: none;\n  background-color: #f5f5f5;\n}\n.dropdown-menu > .active > a,\n.dropdown-menu > .active > a:hover,\n.dropdown-menu > .active > a:focus {\n  color: #fff;\n  text-decoration: none;\n  background-color: #337ab7;\n  outline: 0;\n}\n.dropdown-menu > .disabled > a,\n.dropdown-menu > .disabled > a:hover,\n.dropdown-menu > .disabled > a:focus {\n  color: #777777;\n}\n.dropdown-menu > .disabled > a:hover,\n.dropdown-menu > .disabled > a:focus {\n  text-decoration: none;\n  cursor: not-allowed;\n  background-color: transparent;\n  background-image: none;\n  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);\n}\n.open > .dropdown-menu {\n  display: block;\n}\n.open > a {\n  outline: 0;\n}\n.dropdown-menu-right {\n  right: 0;\n  left: auto;\n}\n.dropdown-menu-left {\n  right: auto;\n  left: 0;\n}\n.dropdown-header {\n  display: block;\n  padding: 3px 20px;\n  font-size: 12px;\n  line-height: 1.42857143;\n  color: #777777;\n  white-space: nowrap;\n}\n.dropdown-backdrop {\n  position: fixed;\n  top: 0;\n  right: 0;\n  bottom: 0;\n  left: 0;\n  z-index: 990;\n}\n.pull-right > .dropdown-menu {\n  right: 0;\n  left: auto;\n}\n.dropup .caret,\n.navbar-fixed-bottom .dropdown .caret {\n  content: \"\";\n  border-top: 0;\n  border-bottom: 4px dashed;\n  border-bottom: 4px solid \\9;\n}\n.dropup .dropdown-menu,\n.navbar-fixed-bottom .dropdown .dropdown-menu {\n  top: auto;\n  bottom: 100%;\n  margin-bottom: 2px;\n}\n@media (min-width: 768px) {\n  .navbar-right .dropdown-menu {\n    right: 0;\n    left: auto;\n  }\n  .navbar-right .dropdown-menu-left {\n    right: auto;\n    left: 0;\n  }\n}\n.btn-group,\n.btn-group-vertical {\n  position: relative;\n  display: inline-block;\n  vertical-align: middle;\n}\n.btn-group > .btn,\n.btn-group-vertical > .btn {\n  position: relative;\n  float: left;\n}\n.btn-group > .btn:hover,\n.btn-group-vertical > .btn:hover,\n.btn-group > .btn:focus,\n.btn-group-vertical > .btn:focus,\n.btn-group > .btn:active,\n.btn-group-vertical > .btn:active,\n.btn-group > .btn.active,\n.btn-group-vertical > .btn.active {\n  z-index: 2;\n}\n.btn-group .btn + .btn,\n.btn-group .btn + .btn-group,\n.btn-group .btn-group + .btn,\n.btn-group .btn-group + .btn-group {\n  margin-left: -1px;\n}\n.btn-toolbar {\n  margin-left: -5px;\n}\n.btn-toolbar .btn,\n.btn-toolbar .btn-group,\n.btn-toolbar .input-group {\n  float: left;\n}\n.btn-toolbar > .btn,\n.btn-toolbar > .btn-group,\n.btn-toolbar > .input-group {\n  margin-left: 5px;\n}\n.btn-group > .btn:not(:first-child):not(:last-child):not(.dropdown-toggle) {\n  border-radius: 0;\n}\n.btn-group > .btn:first-child {\n  margin-left: 0;\n}\n.btn-group > .btn:first-child:not(:last-child):not(.dropdown-toggle) {\n  border-top-right-radius: 0;\n  border-bottom-right-radius: 0;\n}\n.btn-group > .btn:last-child:not(:first-child),\n.btn-group > .dropdown-toggle:not(:first-child) {\n  border-top-left-radius: 0;\n  border-bottom-left-radius: 0;\n}\n.btn-group > .btn-group {\n  float: left;\n}\n.btn-group > .btn-group:not(:first-child):not(:last-child) > .btn {\n  border-radius: 0;\n}\n.btn-group > .btn-group:first-child:not(:last-child) > .btn:last-child,\n.btn-group > .btn-group:first-child:not(:last-child) > .dropdown-toggle {\n  border-top-right-radius: 0;\n  border-bottom-right-radius: 0;\n}\n.btn-group > .btn-group:last-child:not(:first-child) > .btn:first-child {\n  border-top-left-radius: 0;\n  border-bottom-left-radius: 0;\n}\n.btn-group .dropdown-toggle:active,\n.btn-group.open .dropdown-toggle {\n  outline: 0;\n}\n.btn-group > .btn + .dropdown-toggle {\n  padding-right: 8px;\n  padding-left: 8px;\n}\n.btn-group > .btn-lg + .dropdown-toggle {\n  padding-right: 12px;\n  padding-left: 12px;\n}\n.btn-group.open .dropdown-toggle {\n  -webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\n}\n.btn-group.open .dropdown-toggle.btn-link {\n  -webkit-box-shadow: none;\n  box-shadow: none;\n}\n.btn .caret {\n  margin-left: 0;\n}\n.btn-lg .caret {\n  border-width: 5px 5px 0;\n  border-bottom-width: 0;\n}\n.dropup .btn-lg .caret {\n  border-width: 0 5px 5px;\n}\n.btn-group-vertical > .btn,\n.btn-group-vertical > .btn-group,\n.btn-group-vertical > .btn-group > .btn {\n  display: block;\n  float: none;\n  width: 100%;\n  max-width: 100%;\n}\n.btn-group-vertical > .btn-group > .btn {\n  float: none;\n}\n.btn-group-vertical > .btn + .btn,\n.btn-group-vertical > .btn + .btn-group,\n.btn-group-vertical > .btn-group + .btn,\n.btn-group-vertical > .btn-group + .btn-group {\n  margin-top: -1px;\n  margin-left: 0;\n}\n.btn-group-vertical > .btn:not(:first-child):not(:last-child) {\n  border-radius: 0;\n}\n.btn-group-vertical > .btn:first-child:not(:last-child) {\n  border-top-left-radius: 4px;\n  border-top-right-radius: 4px;\n  border-bottom-right-radius: 0;\n  border-bottom-left-radius: 0;\n}\n.btn-group-vertical > .btn:last-child:not(:first-child) {\n  border-top-left-radius: 0;\n  border-top-right-radius: 0;\n  border-bottom-right-radius: 4px;\n  border-bottom-left-radius: 4px;\n}\n.btn-group-vertical > .btn-group:not(:first-child):not(:last-child) > .btn {\n  border-radius: 0;\n}\n.btn-group-vertical > .btn-group:first-child:not(:last-child) > .btn:last-child,\n.btn-group-vertical > .btn-group:first-child:not(:last-child) > .dropdown-toggle {\n  border-bottom-right-radius: 0;\n  border-bottom-left-radius: 0;\n}\n.btn-group-vertical > .btn-group:last-child:not(:first-child) > .btn:first-child {\n  border-top-left-radius: 0;\n  border-top-right-radius: 0;\n}\n.btn-group-justified {\n  display: table;\n  width: 100%;\n  table-layout: fixed;\n  border-collapse: separate;\n}\n.btn-group-justified > .btn,\n.btn-group-justified > .btn-group {\n  display: table-cell;\n  float: none;\n  width: 1%;\n}\n.btn-group-justified > .btn-group .btn {\n  width: 100%;\n}\n.btn-group-justified > .btn-group .dropdown-menu {\n  left: auto;\n}\n[data-toggle=\"buttons\"] > .btn input[type=\"radio\"],\n[data-toggle=\"buttons\"] > .btn-group > .btn input[type=\"radio\"],\n[data-toggle=\"buttons\"] > .btn input[type=\"checkbox\"],\n[data-toggle=\"buttons\"] > .btn-group > .btn input[type=\"checkbox\"] {\n  position: absolute;\n  clip: rect(0, 0, 0, 0);\n  pointer-events: none;\n}\n.input-group {\n  position: relative;\n  display: table;\n  border-collapse: separate;\n}\n.input-group[class*=\"col-\"] {\n  float: none;\n  padding-right: 0;\n  padding-left: 0;\n}\n.input-group .form-control {\n  position: relative;\n  z-index: 2;\n  float: left;\n  width: 100%;\n  margin-bottom: 0;\n}\n.input-group .form-control:focus {\n  z-index: 3;\n}\n.input-group-lg > .form-control,\n.input-group-lg > .input-group-addon,\n.input-group-lg > .input-group-btn > .btn {\n  height: 46px;\n  padding: 10px 16px;\n  font-size: 18px;\n  line-height: 1.3333333;\n  border-radius: 6px;\n}\nselect.input-group-lg > .form-control,\nselect.input-group-lg > .input-group-addon,\nselect.input-group-lg > .input-group-btn > .btn {\n  height: 46px;\n  line-height: 46px;\n}\ntextarea.input-group-lg > .form-control,\ntextarea.input-group-lg > .input-group-addon,\ntextarea.input-group-lg > .input-group-btn > .btn,\nselect[multiple].input-group-lg > .form-control,\nselect[multiple].input-group-lg > .input-group-addon,\nselect[multiple].input-group-lg > .input-group-btn > .btn {\n  height: auto;\n}\n.input-group-sm > .form-control,\n.input-group-sm > .input-group-addon,\n.input-group-sm > .input-group-btn > .btn {\n  height: 30px;\n  padding: 5px 10px;\n  font-size: 12px;\n  line-height: 1.5;\n  border-radius: 3px;\n}\nselect.input-group-sm > .form-control,\nselect.input-group-sm > .input-group-addon,\nselect.input-group-sm > .input-group-btn > .btn {\n  height: 30px;\n  line-height: 30px;\n}\ntextarea.input-group-sm > .form-control,\ntextarea.input-group-sm > .input-group-addon,\ntextarea.input-group-sm > .input-group-btn > .btn,\nselect[multiple].input-group-sm > .form-control,\nselect[multiple].input-group-sm > .input-group-addon,\nselect[multiple].input-group-sm > .input-group-btn > .btn {\n  height: auto;\n}\n.input-group-addon,\n.input-group-btn,\n.input-group .form-control {\n  display: table-cell;\n}\n.input-group-addon:not(:first-child):not(:last-child),\n.input-group-btn:not(:first-child):not(:last-child),\n.input-group .form-control:not(:first-child):not(:last-child) {\n  border-radius: 0;\n}\n.input-group-addon,\n.input-group-btn {\n  width: 1%;\n  white-space: nowrap;\n  vertical-align: middle;\n}\n.input-group-addon {\n  padding: 6px 12px;\n  font-size: 14px;\n  font-weight: 400;\n  line-height: 1;\n  color: #555555;\n  text-align: center;\n  background-color: #eeeeee;\n  border: 1px solid #ccc;\n  border-radius: 4px;\n}\n.input-group-addon.input-sm {\n  padding: 5px 10px;\n  font-size: 12px;\n  border-radius: 3px;\n}\n.input-group-addon.input-lg {\n  padding: 10px 16px;\n  font-size: 18px;\n  border-radius: 6px;\n}\n.input-group-addon input[type=\"radio\"],\n.input-group-addon input[type=\"checkbox\"] {\n  margin-top: 0;\n}\n.input-group .form-control:first-child,\n.input-group-addon:first-child,\n.input-group-btn:first-child > .btn,\n.input-group-btn:first-child > .btn-group > .btn,\n.input-group-btn:first-child > .dropdown-toggle,\n.input-group-btn:last-child > .btn:not(:last-child):not(.dropdown-toggle),\n.input-group-btn:last-child > .btn-group:not(:last-child) > .btn {\n  border-top-right-radius: 0;\n  border-bottom-right-radius: 0;\n}\n.input-group-addon:first-child {\n  border-right: 0;\n}\n.input-group .form-control:last-child,\n.input-group-addon:last-child,\n.input-group-btn:last-child > .btn,\n.input-group-btn:last-child > .btn-group > .btn,\n.input-group-btn:last-child > .dropdown-toggle,\n.input-group-btn:first-child > .btn:not(:first-child),\n.input-group-btn:first-child > .btn-group:not(:first-child) > .btn {\n  border-top-left-radius: 0;\n  border-bottom-left-radius: 0;\n}\n.input-group-addon:last-child {\n  border-left: 0;\n}\n.input-group-btn {\n  position: relative;\n  font-size: 0;\n  white-space: nowrap;\n}\n.input-group-btn > .btn {\n  position: relative;\n}\n.input-group-btn > .btn + .btn {\n  margin-left: -1px;\n}\n.input-group-btn > .btn:hover,\n.input-group-btn > .btn:focus,\n.input-group-btn > .btn:active {\n  z-index: 2;\n}\n.input-group-btn:first-child > .btn,\n.input-group-btn:first-child > .btn-group {\n  margin-right: -1px;\n}\n.input-group-btn:last-child > .btn,\n.input-group-btn:last-child > .btn-group {\n  z-index: 2;\n  margin-left: -1px;\n}\n.nav {\n  padding-left: 0;\n  margin-bottom: 0;\n  list-style: none;\n}\n.nav > li {\n  position: relative;\n  display: block;\n}\n.nav > li > a {\n  position: relative;\n  display: block;\n  padding: 10px 15px;\n}\n.nav > li > a:hover,\n.nav > li > a:focus {\n  text-decoration: none;\n  background-color: #eeeeee;\n}\n.nav > li.disabled > a {\n  color: #777777;\n}\n.nav > li.disabled > a:hover,\n.nav > li.disabled > a:focus {\n  color: #777777;\n  text-decoration: none;\n  cursor: not-allowed;\n  background-color: transparent;\n}\n.nav .open > a,\n.nav .open > a:hover,\n.nav .open > a:focus {\n  background-color: #eeeeee;\n  border-color: #337ab7;\n}\n.nav .nav-divider {\n  height: 1px;\n  margin: 9px 0;\n  overflow: hidden;\n  background-color: #e5e5e5;\n}\n.nav > li > a > img {\n  max-width: none;\n}\n.nav-tabs {\n  border-bottom: 1px solid #ddd;\n}\n.nav-tabs > li {\n  float: left;\n  margin-bottom: -1px;\n}\n.nav-tabs > li > a {\n  margin-right: 2px;\n  line-height: 1.42857143;\n  border: 1px solid transparent;\n  border-radius: 4px 4px 0 0;\n}\n.nav-tabs > li > a:hover {\n  border-color: #eeeeee #eeeeee #ddd;\n}\n.nav-tabs > li.active > a,\n.nav-tabs > li.active > a:hover,\n.nav-tabs > li.active > a:focus {\n  color: #555555;\n  cursor: default;\n  background-color: #fff;\n  border: 1px solid #ddd;\n  border-bottom-color: transparent;\n}\n.nav-tabs.nav-justified {\n  width: 100%;\n  border-bottom: 0;\n}\n.nav-tabs.nav-justified > li {\n  float: none;\n}\n.nav-tabs.nav-justified > li > a {\n  margin-bottom: 5px;\n  text-align: center;\n}\n.nav-tabs.nav-justified > .dropdown .dropdown-menu {\n  top: auto;\n  left: auto;\n}\n@media (min-width: 768px) {\n  .nav-tabs.nav-justified > li {\n    display: table-cell;\n    width: 1%;\n  }\n  .nav-tabs.nav-justified > li > a {\n    margin-bottom: 0;\n  }\n}\n.nav-tabs.nav-justified > li > a {\n  margin-right: 0;\n  border-radius: 4px;\n}\n.nav-tabs.nav-justified > .active > a,\n.nav-tabs.nav-justified > .active > a:hover,\n.nav-tabs.nav-justified > .active > a:focus {\n  border: 1px solid #ddd;\n}\n@media (min-width: 768px) {\n  .nav-tabs.nav-justified > li > a {\n    border-bottom: 1px solid #ddd;\n    border-radius: 4px 4px 0 0;\n  }\n  .nav-tabs.nav-justified > .active > a,\n  .nav-tabs.nav-justified > .active > a:hover,\n  .nav-tabs.nav-justified > .active > a:focus {\n    border-bottom-color: #fff;\n  }\n}\n.nav-pills > li {\n  float: left;\n}\n.nav-pills > li > a {\n  border-radius: 4px;\n}\n.nav-pills > li + li {\n  margin-left: 2px;\n}\n.nav-pills > li.active > a,\n.nav-pills > li.active > a:hover,\n.nav-pills > li.active > a:focus {\n  color: #fff;\n  background-color: #337ab7;\n}\n.nav-stacked > li {\n  float: none;\n}\n.nav-stacked > li + li {\n  margin-top: 2px;\n  margin-left: 0;\n}\n.nav-justified {\n  width: 100%;\n}\n.nav-justified > li {\n  float: none;\n}\n.nav-justified > li > a {\n  margin-bottom: 5px;\n  text-align: center;\n}\n.nav-justified > .dropdown .dropdown-menu {\n  top: auto;\n  left: auto;\n}\n@media (min-width: 768px) {\n  .nav-justified > li {\n    display: table-cell;\n    width: 1%;\n  }\n  .nav-justified > li > a {\n    margin-bottom: 0;\n  }\n}\n.nav-tabs-justified {\n  border-bottom: 0;\n}\n.nav-tabs-justified > li > a {\n  margin-right: 0;\n  border-radius: 4px;\n}\n.nav-tabs-justified > .active > a,\n.nav-tabs-justified > .active > a:hover,\n.nav-tabs-justified > .active > a:focus {\n  border: 1px solid #ddd;\n}\n@media (min-width: 768px) {\n  .nav-tabs-justified > li > a {\n    border-bottom: 1px solid #ddd;\n    border-radius: 4px 4px 0 0;\n  }\n  .nav-tabs-justified > .active > a,\n  .nav-tabs-justified > .active > a:hover,\n  .nav-tabs-justified > .active > a:focus {\n    border-bottom-color: #fff;\n  }\n}\n.tab-content > .tab-pane {\n  display: none;\n}\n.tab-content > .active {\n  display: block;\n}\n.nav-tabs .dropdown-menu {\n  margin-top: -1px;\n  border-top-left-radius: 0;\n  border-top-right-radius: 0;\n}\n.navbar {\n  position: relative;\n  min-height: 50px;\n  margin-bottom: 20px;\n  border: 1px solid transparent;\n}\n@media (min-width: 768px) {\n  .navbar {\n    border-radius: 4px;\n  }\n}\n@media (min-width: 768px) {\n  .navbar-header {\n    float: left;\n  }\n}\n.navbar-collapse {\n  padding-right: 15px;\n  padding-left: 15px;\n  overflow-x: visible;\n  border-top: 1px solid transparent;\n  -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1);\n  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1);\n  -webkit-overflow-scrolling: touch;\n}\n.navbar-collapse.in {\n  overflow-y: auto;\n}\n@media (min-width: 768px) {\n  .navbar-collapse {\n    width: auto;\n    border-top: 0;\n    -webkit-box-shadow: none;\n    box-shadow: none;\n  }\n  .navbar-collapse.collapse {\n    display: block !important;\n    height: auto !important;\n    padding-bottom: 0;\n    overflow: visible !important;\n  }\n  .navbar-collapse.in {\n    overflow-y: visible;\n  }\n  .navbar-fixed-top .navbar-collapse,\n  .navbar-static-top .navbar-collapse,\n  .navbar-fixed-bottom .navbar-collapse {\n    padding-right: 0;\n    padding-left: 0;\n  }\n}\n.navbar-fixed-top,\n.navbar-fixed-bottom {\n  position: fixed;\n  right: 0;\n  left: 0;\n  z-index: 1030;\n}\n.navbar-fixed-top .navbar-collapse,\n.navbar-fixed-bottom .navbar-collapse {\n  max-height: 340px;\n}\n@media (max-device-width: 480px) and (orientation: landscape) {\n  .navbar-fixed-top .navbar-collapse,\n  .navbar-fixed-bottom .navbar-collapse {\n    max-height: 200px;\n  }\n}\n@media (min-width: 768px) {\n  .navbar-fixed-top,\n  .navbar-fixed-bottom {\n    border-radius: 0;\n  }\n}\n.navbar-fixed-top {\n  top: 0;\n  border-width: 0 0 1px;\n}\n.navbar-fixed-bottom {\n  bottom: 0;\n  margin-bottom: 0;\n  border-width: 1px 0 0;\n}\n.container > .navbar-header,\n.container-fluid > .navbar-header,\n.container > .navbar-collapse,\n.container-fluid > .navbar-collapse {\n  margin-right: -15px;\n  margin-left: -15px;\n}\n@media (min-width: 768px) {\n  .container > .navbar-header,\n  .container-fluid > .navbar-header,\n  .container > .navbar-collapse,\n  .container-fluid > .navbar-collapse {\n    margin-right: 0;\n    margin-left: 0;\n  }\n}\n.navbar-static-top {\n  z-index: 1000;\n  border-width: 0 0 1px;\n}\n@media (min-width: 768px) {\n  .navbar-static-top {\n    border-radius: 0;\n  }\n}\n.navbar-brand {\n  float: left;\n  height: 50px;\n  padding: 15px 15px;\n  font-size: 18px;\n  line-height: 20px;\n}\n.navbar-brand:hover,\n.navbar-brand:focus {\n  text-decoration: none;\n}\n.navbar-brand > img {\n  display: block;\n}\n@media (min-width: 768px) {\n  .navbar > .container .navbar-brand,\n  .navbar > .container-fluid .navbar-brand {\n    margin-left: -15px;\n  }\n}\n.navbar-toggle {\n  position: relative;\n  float: right;\n  padding: 9px 10px;\n  margin-right: 15px;\n  margin-top: 8px;\n  margin-bottom: 8px;\n  background-color: transparent;\n  background-image: none;\n  border: 1px solid transparent;\n  border-radius: 4px;\n}\n.navbar-toggle:focus {\n  outline: 0;\n}\n.navbar-toggle .icon-bar {\n  display: block;\n  width: 22px;\n  height: 2px;\n  border-radius: 1px;\n}\n.navbar-toggle .icon-bar + .icon-bar {\n  margin-top: 4px;\n}\n@media (min-width: 768px) {\n  .navbar-toggle {\n    display: none;\n  }\n}\n.navbar-nav {\n  margin: 7.5px -15px;\n}\n.navbar-nav > li > a {\n  padding-top: 10px;\n  padding-bottom: 10px;\n  line-height: 20px;\n}\n@media (max-width: 767px) {\n  .navbar-nav .open .dropdown-menu {\n    position: static;\n    float: none;\n    width: auto;\n    margin-top: 0;\n    background-color: transparent;\n    border: 0;\n    -webkit-box-shadow: none;\n    box-shadow: none;\n  }\n  .navbar-nav .open .dropdown-menu > li > a,\n  .navbar-nav .open .dropdown-menu .dropdown-header {\n    padding: 5px 15px 5px 25px;\n  }\n  .navbar-nav .open .dropdown-menu > li > a {\n    line-height: 20px;\n  }\n  .navbar-nav .open .dropdown-menu > li > a:hover,\n  .navbar-nav .open .dropdown-menu > li > a:focus {\n    background-image: none;\n  }\n}\n@media (min-width: 768px) {\n  .navbar-nav {\n    float: left;\n    margin: 0;\n  }\n  .navbar-nav > li {\n    float: left;\n  }\n  .navbar-nav > li > a {\n    padding-top: 15px;\n    padding-bottom: 15px;\n  }\n}\n.navbar-form {\n  padding: 10px 15px;\n  margin-right: -15px;\n  margin-left: -15px;\n  border-top: 1px solid transparent;\n  border-bottom: 1px solid transparent;\n  -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);\n  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);\n  margin-top: 8px;\n  margin-bottom: 8px;\n}\n@media (min-width: 768px) {\n  .navbar-form .form-group {\n    display: inline-block;\n    margin-bottom: 0;\n    vertical-align: middle;\n  }\n  .navbar-form .form-control {\n    display: inline-block;\n    width: auto;\n    vertical-align: middle;\n  }\n  .navbar-form .form-control-static {\n    display: inline-block;\n  }\n  .navbar-form .input-group {\n    display: inline-table;\n    vertical-align: middle;\n  }\n  .navbar-form .input-group .input-group-addon,\n  .navbar-form .input-group .input-group-btn,\n  .navbar-form .input-group .form-control {\n    width: auto;\n  }\n  .navbar-form .input-group > .form-control {\n    width: 100%;\n  }\n  .navbar-form .control-label {\n    margin-bottom: 0;\n    vertical-align: middle;\n  }\n  .navbar-form .radio,\n  .navbar-form .checkbox {\n    display: inline-block;\n    margin-top: 0;\n    margin-bottom: 0;\n    vertical-align: middle;\n  }\n  .navbar-form .radio label,\n  .navbar-form .checkbox label {\n    padding-left: 0;\n  }\n  .navbar-form .radio input[type=\"radio\"],\n  .navbar-form .checkbox input[type=\"checkbox\"] {\n    position: relative;\n    margin-left: 0;\n  }\n  .navbar-form .has-feedback .form-control-feedback {\n    top: 0;\n  }\n}\n@media (max-width: 767px) {\n  .navbar-form .form-group {\n    margin-bottom: 5px;\n  }\n  .navbar-form .form-group:last-child {\n    margin-bottom: 0;\n  }\n}\n@media (min-width: 768px) {\n  .navbar-form {\n    width: auto;\n    padding-top: 0;\n    padding-bottom: 0;\n    margin-right: 0;\n    margin-left: 0;\n    border: 0;\n    -webkit-box-shadow: none;\n    box-shadow: none;\n  }\n}\n.navbar-nav > li > .dropdown-menu {\n  margin-top: 0;\n  border-top-left-radius: 0;\n  border-top-right-radius: 0;\n}\n.navbar-fixed-bottom .navbar-nav > li > .dropdown-menu {\n  margin-bottom: 0;\n  border-top-left-radius: 4px;\n  border-top-right-radius: 4px;\n  border-bottom-right-radius: 0;\n  border-bottom-left-radius: 0;\n}\n.navbar-btn {\n  margin-top: 8px;\n  margin-bottom: 8px;\n}\n.navbar-btn.btn-sm {\n  margin-top: 10px;\n  margin-bottom: 10px;\n}\n.navbar-btn.btn-xs {\n  margin-top: 14px;\n  margin-bottom: 14px;\n}\n.navbar-text {\n  margin-top: 15px;\n  margin-bottom: 15px;\n}\n@media (min-width: 768px) {\n  .navbar-text {\n    float: left;\n    margin-right: 15px;\n    margin-left: 15px;\n  }\n}\n@media (min-width: 768px) {\n  .navbar-left {\n    float: left !important;\n  }\n  .navbar-right {\n    float: right !important;\n    margin-right: -15px;\n  }\n  .navbar-right ~ .navbar-right {\n    margin-right: 0;\n  }\n}\n.navbar-default {\n  background-color: #f8f8f8;\n  border-color: #e7e7e7;\n}\n.navbar-default .navbar-brand {\n  color: #777;\n}\n.navbar-default .navbar-brand:hover,\n.navbar-default .navbar-brand:focus {\n  color: #5e5e5e;\n  background-color: transparent;\n}\n.navbar-default .navbar-text {\n  color: #777;\n}\n.navbar-default .navbar-nav > li > a {\n  color: #777;\n}\n.navbar-default .navbar-nav > li > a:hover,\n.navbar-default .navbar-nav > li > a:focus {\n  color: #333;\n  background-color: transparent;\n}\n.navbar-default .navbar-nav > .active > a,\n.navbar-default .navbar-nav > .active > a:hover,\n.navbar-default .navbar-nav > .active > a:focus {\n  color: #555;\n  background-color: #e7e7e7;\n}\n.navbar-default .navbar-nav > .disabled > a,\n.navbar-default .navbar-nav > .disabled > a:hover,\n.navbar-default .navbar-nav > .disabled > a:focus {\n  color: #ccc;\n  background-color: transparent;\n}\n.navbar-default .navbar-nav > .open > a,\n.navbar-default .navbar-nav > .open > a:hover,\n.navbar-default .navbar-nav > .open > a:focus {\n  color: #555;\n  background-color: #e7e7e7;\n}\n@media (max-width: 767px) {\n  .navbar-default .navbar-nav .open .dropdown-menu > li > a {\n    color: #777;\n  }\n  .navbar-default .navbar-nav .open .dropdown-menu > li > a:hover,\n  .navbar-default .navbar-nav .open .dropdown-menu > li > a:focus {\n    color: #333;\n    background-color: transparent;\n  }\n  .navbar-default .navbar-nav .open .dropdown-menu > .active > a,\n  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:hover,\n  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:focus {\n    color: #555;\n    background-color: #e7e7e7;\n  }\n  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a,\n  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:hover,\n  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:focus {\n    color: #ccc;\n    background-color: transparent;\n  }\n}\n.navbar-default .navbar-toggle {\n  border-color: #ddd;\n}\n.navbar-default .navbar-toggle:hover,\n.navbar-default .navbar-toggle:focus {\n  background-color: #ddd;\n}\n.navbar-default .navbar-toggle .icon-bar {\n  background-color: #888;\n}\n.navbar-default .navbar-collapse,\n.navbar-default .navbar-form {\n  border-color: #e7e7e7;\n}\n.navbar-default .navbar-link {\n  color: #777;\n}\n.navbar-default .navbar-link:hover {\n  color: #333;\n}\n.navbar-default .btn-link {\n  color: #777;\n}\n.navbar-default .btn-link:hover,\n.navbar-default .btn-link:focus {\n  color: #333;\n}\n.navbar-default .btn-link[disabled]:hover,\nfieldset[disabled] .navbar-default .btn-link:hover,\n.navbar-default .btn-link[disabled]:focus,\nfieldset[disabled] .navbar-default .btn-link:focus {\n  color: #ccc;\n}\n.navbar-inverse {\n  background-color: #222;\n  border-color: #080808;\n}\n.navbar-inverse .navbar-brand {\n  color: #9d9d9d;\n}\n.navbar-inverse .navbar-brand:hover,\n.navbar-inverse .navbar-brand:focus {\n  color: #fff;\n  background-color: transparent;\n}\n.navbar-inverse .navbar-text {\n  color: #9d9d9d;\n}\n.navbar-inverse .navbar-nav > li > a {\n  color: #9d9d9d;\n}\n.navbar-inverse .navbar-nav > li > a:hover,\n.navbar-inverse .navbar-nav > li > a:focus {\n  color: #fff;\n  background-color: transparent;\n}\n.navbar-inverse .navbar-nav > .active > a,\n.navbar-inverse .navbar-nav > .active > a:hover,\n.navbar-inverse .navbar-nav > .active > a:focus {\n  color: #fff;\n  background-color: #080808;\n}\n.navbar-inverse .navbar-nav > .disabled > a,\n.navbar-inverse .navbar-nav > .disabled > a:hover,\n.navbar-inverse .navbar-nav > .disabled > a:focus {\n  color: #444;\n  background-color: transparent;\n}\n.navbar-inverse .navbar-nav > .open > a,\n.navbar-inverse .navbar-nav > .open > a:hover,\n.navbar-inverse .navbar-nav > .open > a:focus {\n  color: #fff;\n  background-color: #080808;\n}\n@media (max-width: 767px) {\n  .navbar-inverse .navbar-nav .open .dropdown-menu > .dropdown-header {\n    border-color: #080808;\n  }\n  .navbar-inverse .navbar-nav .open .dropdown-menu .divider {\n    background-color: #080808;\n  }\n  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a {\n    color: #9d9d9d;\n  }\n  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a:hover,\n  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a:focus {\n    color: #fff;\n    background-color: transparent;\n  }\n  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a,\n  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a:hover,\n  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a:focus {\n    color: #fff;\n    background-color: #080808;\n  }\n  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a,\n  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a:hover,\n  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a:focus {\n    color: #444;\n    background-color: transparent;\n  }\n}\n.navbar-inverse .navbar-toggle {\n  border-color: #333;\n}\n.navbar-inverse .navbar-toggle:hover,\n.navbar-inverse .navbar-toggle:focus {\n  background-color: #333;\n}\n.navbar-inverse .navbar-toggle .icon-bar {\n  background-color: #fff;\n}\n.navbar-inverse .navbar-collapse,\n.navbar-inverse .navbar-form {\n  border-color: #101010;\n}\n.navbar-inverse .navbar-link {\n  color: #9d9d9d;\n}\n.navbar-inverse .navbar-link:hover {\n  color: #fff;\n}\n.navbar-inverse .btn-link {\n  color: #9d9d9d;\n}\n.navbar-inverse .btn-link:hover,\n.navbar-inverse .btn-link:focus {\n  color: #fff;\n}\n.navbar-inverse .btn-link[disabled]:hover,\nfieldset[disabled] .navbar-inverse .btn-link:hover,\n.navbar-inverse .btn-link[disabled]:focus,\nfieldset[disabled] .navbar-inverse .btn-link:focus {\n  color: #444;\n}\n.breadcrumb {\n  padding: 8px 15px;\n  margin-bottom: 20px;\n  list-style: none;\n  background-color: #f5f5f5;\n  border-radius: 4px;\n}\n.breadcrumb > li {\n  display: inline-block;\n}\n.breadcrumb > li + li:before {\n  padding: 0 5px;\n  color: #ccc;\n  content: \"/\\00a0\";\n}\n.breadcrumb > .active {\n  color: #777777;\n}\n.pagination {\n  display: inline-block;\n  padding-left: 0;\n  margin: 20px 0;\n  border-radius: 4px;\n}\n.pagination > li {\n  display: inline;\n}\n.pagination > li > a,\n.pagination > li > span {\n  position: relative;\n  float: left;\n  padding: 6px 12px;\n  margin-left: -1px;\n  line-height: 1.42857143;\n  color: #337ab7;\n  text-decoration: none;\n  background-color: #fff;\n  border: 1px solid #ddd;\n}\n.pagination > li > a:hover,\n.pagination > li > span:hover,\n.pagination > li > a:focus,\n.pagination > li > span:focus {\n  z-index: 2;\n  color: #23527c;\n  background-color: #eeeeee;\n  border-color: #ddd;\n}\n.pagination > li:first-child > a,\n.pagination > li:first-child > span {\n  margin-left: 0;\n  border-top-left-radius: 4px;\n  border-bottom-left-radius: 4px;\n}\n.pagination > li:last-child > a,\n.pagination > li:last-child > span {\n  border-top-right-radius: 4px;\n  border-bottom-right-radius: 4px;\n}\n.pagination > .active > a,\n.pagination > .active > span,\n.pagination > .active > a:hover,\n.pagination > .active > span:hover,\n.pagination > .active > a:focus,\n.pagination > .active > span:focus {\n  z-index: 3;\n  color: #fff;\n  cursor: default;\n  background-color: #337ab7;\n  border-color: #337ab7;\n}\n.pagination > .disabled > span,\n.pagination > .disabled > span:hover,\n.pagination > .disabled > span:focus,\n.pagination > .disabled > a,\n.pagination > .disabled > a:hover,\n.pagination > .disabled > a:focus {\n  color: #777777;\n  cursor: not-allowed;\n  background-color: #fff;\n  border-color: #ddd;\n}\n.pagination-lg > li > a,\n.pagination-lg > li > span {\n  padding: 10px 16px;\n  font-size: 18px;\n  line-height: 1.3333333;\n}\n.pagination-lg > li:first-child > a,\n.pagination-lg > li:first-child > span {\n  border-top-left-radius: 6px;\n  border-bottom-left-radius: 6px;\n}\n.pagination-lg > li:last-child > a,\n.pagination-lg > li:last-child > span {\n  border-top-right-radius: 6px;\n  border-bottom-right-radius: 6px;\n}\n.pagination-sm > li > a,\n.pagination-sm > li > span {\n  padding: 5px 10px;\n  font-size: 12px;\n  line-height: 1.5;\n}\n.pagination-sm > li:first-child > a,\n.pagination-sm > li:first-child > span {\n  border-top-left-radius: 3px;\n  border-bottom-left-radius: 3px;\n}\n.pagination-sm > li:last-child > a,\n.pagination-sm > li:last-child > span {\n  border-top-right-radius: 3px;\n  border-bottom-right-radius: 3px;\n}\n.pager {\n  padding-left: 0;\n  margin: 20px 0;\n  text-align: center;\n  list-style: none;\n}\n.pager li {\n  display: inline;\n}\n.pager li > a,\n.pager li > span {\n  display: inline-block;\n  padding: 5px 14px;\n  background-color: #fff;\n  border: 1px solid #ddd;\n  border-radius: 15px;\n}\n.pager li > a:hover,\n.pager li > a:focus {\n  text-decoration: none;\n  background-color: #eeeeee;\n}\n.pager .next > a,\n.pager .next > span {\n  float: right;\n}\n.pager .previous > a,\n.pager .previous > span {\n  float: left;\n}\n.pager .disabled > a,\n.pager .disabled > a:hover,\n.pager .disabled > a:focus,\n.pager .disabled > span {\n  color: #777777;\n  cursor: not-allowed;\n  background-color: #fff;\n}\n.label {\n  display: inline;\n  padding: 0.2em 0.6em 0.3em;\n  font-size: 75%;\n  font-weight: 700;\n  line-height: 1;\n  color: #fff;\n  text-align: center;\n  white-space: nowrap;\n  vertical-align: baseline;\n  border-radius: 0.25em;\n}\na.label:hover,\na.label:focus {\n  color: #fff;\n  text-decoration: none;\n  cursor: pointer;\n}\n.label:empty {\n  display: none;\n}\n.btn .label {\n  position: relative;\n  top: -1px;\n}\n.label-default {\n  background-color: #777777;\n}\n.label-default[href]:hover,\n.label-default[href]:focus {\n  background-color: #5e5e5e;\n}\n.label-primary {\n  background-color: #337ab7;\n}\n.label-primary[href]:hover,\n.label-primary[href]:focus {\n  background-color: #286090;\n}\n.label-success {\n  background-color: #5cb85c;\n}\n.label-success[href]:hover,\n.label-success[href]:focus {\n  background-color: #449d44;\n}\n.label-info {\n  background-color: #5bc0de;\n}\n.label-info[href]:hover,\n.label-info[href]:focus {\n  background-color: #31b0d5;\n}\n.label-warning {\n  background-color: #f0ad4e;\n}\n.label-warning[href]:hover,\n.label-warning[href]:focus {\n  background-color: #ec971f;\n}\n.label-danger {\n  background-color: #d9534f;\n}\n.label-danger[href]:hover,\n.label-danger[href]:focus {\n  background-color: #c9302c;\n}\n.badge {\n  display: inline-block;\n  min-width: 10px;\n  padding: 3px 7px;\n  font-size: 12px;\n  font-weight: bold;\n  line-height: 1;\n  color: #fff;\n  text-align: center;\n  white-space: nowrap;\n  vertical-align: middle;\n  background-color: #777777;\n  border-radius: 10px;\n}\n.badge:empty {\n  display: none;\n}\n.btn .badge {\n  position: relative;\n  top: -1px;\n}\n.btn-xs .badge,\n.btn-group-xs > .btn .badge {\n  top: 0;\n  padding: 1px 5px;\n}\na.badge:hover,\na.badge:focus {\n  color: #fff;\n  text-decoration: none;\n  cursor: pointer;\n}\n.list-group-item.active > .badge,\n.nav-pills > .active > a > .badge {\n  color: #337ab7;\n  background-color: #fff;\n}\n.list-group-item > .badge {\n  float: right;\n}\n.list-group-item > .badge + .badge {\n  margin-right: 5px;\n}\n.nav-pills > li > a > .badge {\n  margin-left: 3px;\n}\n.jumbotron {\n  padding-top: 30px;\n  padding-bottom: 30px;\n  margin-bottom: 30px;\n  color: inherit;\n  background-color: #eeeeee;\n}\n.jumbotron h1,\n.jumbotron .h1 {\n  color: inherit;\n}\n.jumbotron p {\n  margin-bottom: 15px;\n  font-size: 21px;\n  font-weight: 200;\n}\n.jumbotron > hr {\n  border-top-color: #d5d5d5;\n}\n.container .jumbotron,\n.container-fluid .jumbotron {\n  padding-right: 15px;\n  padding-left: 15px;\n  border-radius: 6px;\n}\n.jumbotron .container {\n  max-width: 100%;\n}\n@media screen and (min-width: 768px) {\n  .jumbotron {\n    padding-top: 48px;\n    padding-bottom: 48px;\n  }\n  .container .jumbotron,\n  .container-fluid .jumbotron {\n    padding-right: 60px;\n    padding-left: 60px;\n  }\n  .jumbotron h1,\n  .jumbotron .h1 {\n    font-size: 63px;\n  }\n}\n.thumbnail {\n  display: block;\n  padding: 4px;\n  margin-bottom: 20px;\n  line-height: 1.42857143;\n  background-color: #fff;\n  border: 1px solid #ddd;\n  border-radius: 4px;\n  -webkit-transition: border 0.2s ease-in-out;\n  -o-transition: border 0.2s ease-in-out;\n  transition: border 0.2s ease-in-out;\n}\n.thumbnail > img,\n.thumbnail a > img {\n  margin-right: auto;\n  margin-left: auto;\n}\na.thumbnail:hover,\na.thumbnail:focus,\na.thumbnail.active {\n  border-color: #337ab7;\n}\n.thumbnail .caption {\n  padding: 9px;\n  color: #333333;\n}\n.alert {\n  padding: 15px;\n  margin-bottom: 20px;\n  border: 1px solid transparent;\n  border-radius: 4px;\n}\n.alert h4 {\n  margin-top: 0;\n  color: inherit;\n}\n.alert .alert-link {\n  font-weight: bold;\n}\n.alert > p,\n.alert > ul {\n  margin-bottom: 0;\n}\n.alert > p + p {\n  margin-top: 5px;\n}\n.alert-dismissable,\n.alert-dismissible {\n  padding-right: 35px;\n}\n.alert-dismissable .close,\n.alert-dismissible .close {\n  position: relative;\n  top: -2px;\n  right: -21px;\n  color: inherit;\n}\n.alert-success {\n  color: #3c763d;\n  background-color: #dff0d8;\n  border-color: #d6e9c6;\n}\n.alert-success hr {\n  border-top-color: #c9e2b3;\n}\n.alert-success .alert-link {\n  color: #2b542c;\n}\n.alert-info {\n  color: #31708f;\n  background-color: #d9edf7;\n  border-color: #bce8f1;\n}\n.alert-info hr {\n  border-top-color: #a6e1ec;\n}\n.alert-info .alert-link {\n  color: #245269;\n}\n.alert-warning {\n  color: #8a6d3b;\n  background-color: #fcf8e3;\n  border-color: #faebcc;\n}\n.alert-warning hr {\n  border-top-color: #f7e1b5;\n}\n.alert-warning .alert-link {\n  color: #66512c;\n}\n.alert-danger {\n  color: #a94442;\n  background-color: #f2dede;\n  border-color: #ebccd1;\n}\n.alert-danger hr {\n  border-top-color: #e4b9c0;\n}\n.alert-danger .alert-link {\n  color: #843534;\n}\n@-webkit-keyframes progress-bar-stripes {\n  from {\n    background-position: 40px 0;\n  }\n  to {\n    background-position: 0 0;\n  }\n}\n@-o-keyframes progress-bar-stripes {\n  from {\n    background-position: 40px 0;\n  }\n  to {\n    background-position: 0 0;\n  }\n}\n@keyframes progress-bar-stripes {\n  from {\n    background-position: 40px 0;\n  }\n  to {\n    background-position: 0 0;\n  }\n}\n.progress {\n  height: 20px;\n  margin-bottom: 20px;\n  overflow: hidden;\n  background-color: #f5f5f5;\n  border-radius: 4px;\n  -webkit-box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);\n  box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);\n}\n.progress-bar {\n  float: left;\n  width: 0%;\n  height: 100%;\n  font-size: 12px;\n  line-height: 20px;\n  color: #fff;\n  text-align: center;\n  background-color: #337ab7;\n  -webkit-box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15);\n  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15);\n  -webkit-transition: width 0.6s ease;\n  -o-transition: width 0.6s ease;\n  transition: width 0.6s ease;\n}\n.progress-striped .progress-bar,\n.progress-bar-striped {\n  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n  -webkit-background-size: 40px 40px;\n  background-size: 40px 40px;\n}\n.progress.active .progress-bar,\n.progress-bar.active {\n  -webkit-animation: progress-bar-stripes 2s linear infinite;\n  -o-animation: progress-bar-stripes 2s linear infinite;\n  animation: progress-bar-stripes 2s linear infinite;\n}\n.progress-bar-success {\n  background-color: #5cb85c;\n}\n.progress-striped .progress-bar-success {\n  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n}\n.progress-bar-info {\n  background-color: #5bc0de;\n}\n.progress-striped .progress-bar-info {\n  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n}\n.progress-bar-warning {\n  background-color: #f0ad4e;\n}\n.progress-striped .progress-bar-warning {\n  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n}\n.progress-bar-danger {\n  background-color: #d9534f;\n}\n.progress-striped .progress-bar-danger {\n  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);\n}\n.media {\n  margin-top: 15px;\n}\n.media:first-child {\n  margin-top: 0;\n}\n.media,\n.media-body {\n  overflow: hidden;\n  zoom: 1;\n}\n.media-body {\n  width: 10000px;\n}\n.media-object {\n  display: block;\n}\n.media-object.img-thumbnail {\n  max-width: none;\n}\n.media-right,\n.media > .pull-right {\n  padding-left: 10px;\n}\n.media-left,\n.media > .pull-left {\n  padding-right: 10px;\n}\n.media-left,\n.media-right,\n.media-body {\n  display: table-cell;\n  vertical-align: top;\n}\n.media-middle {\n  vertical-align: middle;\n}\n.media-bottom {\n  vertical-align: bottom;\n}\n.media-heading {\n  margin-top: 0;\n  margin-bottom: 5px;\n}\n.media-list {\n  padding-left: 0;\n  list-style: none;\n}\n.list-group {\n  padding-left: 0;\n  margin-bottom: 20px;\n}\n.list-group-item {\n  position: relative;\n  display: block;\n  padding: 10px 15px;\n  margin-bottom: -1px;\n  background-color: #fff;\n  border: 1px solid #ddd;\n}\n.list-group-item:first-child {\n  border-top-left-radius: 4px;\n  border-top-right-radius: 4px;\n}\n.list-group-item:last-child {\n  margin-bottom: 0;\n  border-bottom-right-radius: 4px;\n  border-bottom-left-radius: 4px;\n}\n.list-group-item.disabled,\n.list-group-item.disabled:hover,\n.list-group-item.disabled:focus {\n  color: #777777;\n  cursor: not-allowed;\n  background-color: #eeeeee;\n}\n.list-group-item.disabled .list-group-item-heading,\n.list-group-item.disabled:hover .list-group-item-heading,\n.list-group-item.disabled:focus .list-group-item-heading {\n  color: inherit;\n}\n.list-group-item.disabled .list-group-item-text,\n.list-group-item.disabled:hover .list-group-item-text,\n.list-group-item.disabled:focus .list-group-item-text {\n  color: #777777;\n}\n.list-group-item.active,\n.list-group-item.active:hover,\n.list-group-item.active:focus {\n  z-index: 2;\n  color: #fff;\n  background-color: #337ab7;\n  border-color: #337ab7;\n}\n.list-group-item.active .list-group-item-heading,\n.list-group-item.active:hover .list-group-item-heading,\n.list-group-item.active:focus .list-group-item-heading,\n.list-group-item.active .list-group-item-heading > small,\n.list-group-item.active:hover .list-group-item-heading > small,\n.list-group-item.active:focus .list-group-item-heading > small,\n.list-group-item.active .list-group-item-heading > .small,\n.list-group-item.active:hover .list-group-item-heading > .small,\n.list-group-item.active:focus .list-group-item-heading > .small {\n  color: inherit;\n}\n.list-group-item.active .list-group-item-text,\n.list-group-item.active:hover .list-group-item-text,\n.list-group-item.active:focus .list-group-item-text {\n  color: #c7ddef;\n}\na.list-group-item,\nbutton.list-group-item {\n  color: #555;\n}\na.list-group-item .list-group-item-heading,\nbutton.list-group-item .list-group-item-heading {\n  color: #333;\n}\na.list-group-item:hover,\nbutton.list-group-item:hover,\na.list-group-item:focus,\nbutton.list-group-item:focus {\n  color: #555;\n  text-decoration: none;\n  background-color: #f5f5f5;\n}\nbutton.list-group-item {\n  width: 100%;\n  text-align: left;\n}\n.list-group-item-success {\n  color: #3c763d;\n  background-color: #dff0d8;\n}\na.list-group-item-success,\nbutton.list-group-item-success {\n  color: #3c763d;\n}\na.list-group-item-success .list-group-item-heading,\nbutton.list-group-item-success .list-group-item-heading {\n  color: inherit;\n}\na.list-group-item-success:hover,\nbutton.list-group-item-success:hover,\na.list-group-item-success:focus,\nbutton.list-group-item-success:focus {\n  color: #3c763d;\n  background-color: #d0e9c6;\n}\na.list-group-item-success.active,\nbutton.list-group-item-success.active,\na.list-group-item-success.active:hover,\nbutton.list-group-item-success.active:hover,\na.list-group-item-success.active:focus,\nbutton.list-group-item-success.active:focus {\n  color: #fff;\n  background-color: #3c763d;\n  border-color: #3c763d;\n}\n.list-group-item-info {\n  color: #31708f;\n  background-color: #d9edf7;\n}\na.list-group-item-info,\nbutton.list-group-item-info {\n  color: #31708f;\n}\na.list-group-item-info .list-group-item-heading,\nbutton.list-group-item-info .list-group-item-heading {\n  color: inherit;\n}\na.list-group-item-info:hover,\nbutton.list-group-item-info:hover,\na.list-group-item-info:focus,\nbutton.list-group-item-info:focus {\n  color: #31708f;\n  background-color: #c4e3f3;\n}\na.list-group-item-info.active,\nbutton.list-group-item-info.active,\na.list-group-item-info.active:hover,\nbutton.list-group-item-info.active:hover,\na.list-group-item-info.active:focus,\nbutton.list-group-item-info.active:focus {\n  color: #fff;\n  background-color: #31708f;\n  border-color: #31708f;\n}\n.list-group-item-warning {\n  color: #8a6d3b;\n  background-color: #fcf8e3;\n}\na.list-group-item-warning,\nbutton.list-group-item-warning {\n  color: #8a6d3b;\n}\na.list-group-item-warning .list-group-item-heading,\nbutton.list-group-item-warning .list-group-item-heading {\n  color: inherit;\n}\na.list-group-item-warning:hover,\nbutton.list-group-item-warning:hover,\na.list-group-item-warning:focus,\nbutton.list-group-item-warning:focus {\n  color: #8a6d3b;\n  background-color: #faf2cc;\n}\na.list-group-item-warning.active,\nbutton.list-group-item-warning.active,\na.list-group-item-warning.active:hover,\nbutton.list-group-item-warning.active:hover,\na.list-group-item-warning.active:focus,\nbutton.list-group-item-warning.active:focus {\n  color: #fff;\n  background-color: #8a6d3b;\n  border-color: #8a6d3b;\n}\n.list-group-item-danger {\n  color: #a94442;\n  background-color: #f2dede;\n}\na.list-group-item-danger,\nbutton.list-group-item-danger {\n  color: #a94442;\n}\na.list-group-item-danger .list-group-item-heading,\nbutton.list-group-item-danger .list-group-item-heading {\n  color: inherit;\n}\na.list-group-item-danger:hover,\nbutton.list-group-item-danger:hover,\na.list-group-item-danger:focus,\nbutton.list-group-item-danger:focus {\n  color: #a94442;\n  background-color: #ebcccc;\n}\na.list-group-item-danger.active,\nbutton.list-group-item-danger.active,\na.list-group-item-danger.active:hover,\nbutton.list-group-item-danger.active:hover,\na.list-group-item-danger.active:focus,\nbutton.list-group-item-danger.active:focus {\n  color: #fff;\n  background-color: #a94442;\n  border-color: #a94442;\n}\n.list-group-item-heading {\n  margin-top: 0;\n  margin-bottom: 5px;\n}\n.list-group-item-text {\n  margin-bottom: 0;\n  line-height: 1.3;\n}\n.panel {\n  margin-bottom: 20px;\n  background-color: #fff;\n  border: 1px solid transparent;\n  border-radius: 4px;\n  -webkit-box-shadow: 0 1px 1px rgba(0, 0, 0, 0.05);\n  box-shadow: 0 1px 1px rgba(0, 0, 0, 0.05);\n}\n.panel-body {\n  padding: 15px;\n}\n.panel-heading {\n  padding: 10px 15px;\n  border-bottom: 1px solid transparent;\n  border-top-left-radius: 3px;\n  border-top-right-radius: 3px;\n}\n.panel-heading > .dropdown .dropdown-toggle {\n  color: inherit;\n}\n.panel-title {\n  margin-top: 0;\n  margin-bottom: 0;\n  font-size: 16px;\n  color: inherit;\n}\n.panel-title > a,\n.panel-title > small,\n.panel-title > .small,\n.panel-title > small > a,\n.panel-title > .small > a {\n  color: inherit;\n}\n.panel-footer {\n  padding: 10px 15px;\n  background-color: #f5f5f5;\n  border-top: 1px solid #ddd;\n  border-bottom-right-radius: 3px;\n  border-bottom-left-radius: 3px;\n}\n.panel > .list-group,\n.panel > .panel-collapse > .list-group {\n  margin-bottom: 0;\n}\n.panel > .list-group .list-group-item,\n.panel > .panel-collapse > .list-group .list-group-item {\n  border-width: 1px 0;\n  border-radius: 0;\n}\n.panel > .list-group:first-child .list-group-item:first-child,\n.panel > .panel-collapse > .list-group:first-child .list-group-item:first-child {\n  border-top: 0;\n  border-top-left-radius: 3px;\n  border-top-right-radius: 3px;\n}\n.panel > .list-group:last-child .list-group-item:last-child,\n.panel > .panel-collapse > .list-group:last-child .list-group-item:last-child {\n  border-bottom: 0;\n  border-bottom-right-radius: 3px;\n  border-bottom-left-radius: 3px;\n}\n.panel > .panel-heading + .panel-collapse > .list-group .list-group-item:first-child {\n  border-top-left-radius: 0;\n  border-top-right-radius: 0;\n}\n.panel-heading + .list-group .list-group-item:first-child {\n  border-top-width: 0;\n}\n.list-group + .panel-footer {\n  border-top-width: 0;\n}\n.panel > .table,\n.panel > .table-responsive > .table,\n.panel > .panel-collapse > .table {\n  margin-bottom: 0;\n}\n.panel > .table caption,\n.panel > .table-responsive > .table caption,\n.panel > .panel-collapse > .table caption {\n  padding-right: 15px;\n  padding-left: 15px;\n}\n.panel > .table:first-child,\n.panel > .table-responsive:first-child > .table:first-child {\n  border-top-left-radius: 3px;\n  border-top-right-radius: 3px;\n}\n.panel > .table:first-child > thead:first-child > tr:first-child,\n.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child,\n.panel > .table:first-child > tbody:first-child > tr:first-child,\n.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child {\n  border-top-left-radius: 3px;\n  border-top-right-radius: 3px;\n}\n.panel > .table:first-child > thead:first-child > tr:first-child td:first-child,\n.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child td:first-child,\n.panel > .table:first-child > tbody:first-child > tr:first-child td:first-child,\n.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child td:first-child,\n.panel > .table:first-child > thead:first-child > tr:first-child th:first-child,\n.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child th:first-child,\n.panel > .table:first-child > tbody:first-child > tr:first-child th:first-child,\n.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child th:first-child {\n  border-top-left-radius: 3px;\n}\n.panel > .table:first-child > thead:first-child > tr:first-child td:last-child,\n.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child td:last-child,\n.panel > .table:first-child > tbody:first-child > tr:first-child td:last-child,\n.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child td:last-child,\n.panel > .table:first-child > thead:first-child > tr:first-child th:last-child,\n.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child th:last-child,\n.panel > .table:first-child > tbody:first-child > tr:first-child th:last-child,\n.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child th:last-child {\n  border-top-right-radius: 3px;\n}\n.panel > .table:last-child,\n.panel > .table-responsive:last-child > .table:last-child {\n  border-bottom-right-radius: 3px;\n  border-bottom-left-radius: 3px;\n}\n.panel > .table:last-child > tbody:last-child > tr:last-child,\n.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child,\n.panel > .table:last-child > tfoot:last-child > tr:last-child,\n.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child {\n  border-bottom-right-radius: 3px;\n  border-bottom-left-radius: 3px;\n}\n.panel > .table:last-child > tbody:last-child > tr:last-child td:first-child,\n.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child td:first-child,\n.panel > .table:last-child > tfoot:last-child > tr:last-child td:first-child,\n.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child td:first-child,\n.panel > .table:last-child > tbody:last-child > tr:last-child th:first-child,\n.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child th:first-child,\n.panel > .table:last-child > tfoot:last-child > tr:last-child th:first-child,\n.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child th:first-child {\n  border-bottom-left-radius: 3px;\n}\n.panel > .table:last-child > tbody:last-child > tr:last-child td:last-child,\n.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child td:last-child,\n.panel > .table:last-child > tfoot:last-child > tr:last-child td:last-child,\n.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child td:last-child,\n.panel > .table:last-child > tbody:last-child > tr:last-child th:last-child,\n.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child th:last-child,\n.panel > .table:last-child > tfoot:last-child > tr:last-child th:last-child,\n.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child th:last-child {\n  border-bottom-right-radius: 3px;\n}\n.panel > .panel-body + .table,\n.panel > .panel-body + .table-responsive,\n.panel > .table + .panel-body,\n.panel > .table-responsive + .panel-body {\n  border-top: 1px solid #ddd;\n}\n.panel > .table > tbody:first-child > tr:first-child th,\n.panel > .table > tbody:first-child > tr:first-child td {\n  border-top: 0;\n}\n.panel > .table-bordered,\n.panel > .table-responsive > .table-bordered {\n  border: 0;\n}\n.panel > .table-bordered > thead > tr > th:first-child,\n.panel > .table-responsive > .table-bordered > thead > tr > th:first-child,\n.panel > .table-bordered > tbody > tr > th:first-child,\n.panel > .table-responsive > .table-bordered > tbody > tr > th:first-child,\n.panel > .table-bordered > tfoot > tr > th:first-child,\n.panel > .table-responsive > .table-bordered > tfoot > tr > th:first-child,\n.panel > .table-bordered > thead > tr > td:first-child,\n.panel > .table-responsive > .table-bordered > thead > tr > td:first-child,\n.panel > .table-bordered > tbody > tr > td:first-child,\n.panel > .table-responsive > .table-bordered > tbody > tr > td:first-child,\n.panel > .table-bordered > tfoot > tr > td:first-child,\n.panel > .table-responsive > .table-bordered > tfoot > tr > td:first-child {\n  border-left: 0;\n}\n.panel > .table-bordered > thead > tr > th:last-child,\n.panel > .table-responsive > .table-bordered > thead > tr > th:last-child,\n.panel > .table-bordered > tbody > tr > th:last-child,\n.panel > .table-responsive > .table-bordered > tbody > tr > th:last-child,\n.panel > .table-bordered > tfoot > tr > th:last-child,\n.panel > .table-responsive > .table-bordered > tfoot > tr > th:last-child,\n.panel > .table-bordered > thead > tr > td:last-child,\n.panel > .table-responsive > .table-bordered > thead > tr > td:last-child,\n.panel > .table-bordered > tbody > tr > td:last-child,\n.panel > .table-responsive > .table-bordered > tbody > tr > td:last-child,\n.panel > .table-bordered > tfoot > tr > td:last-child,\n.panel > .table-responsive > .table-bordered > tfoot > tr > td:last-child {\n  border-right: 0;\n}\n.panel > .table-bordered > thead > tr:first-child > td,\n.panel > .table-responsive > .table-bordered > thead > tr:first-child > td,\n.panel > .table-bordered > tbody > tr:first-child > td,\n.panel > .table-responsive > .table-bordered > tbody > tr:first-child > td,\n.panel > .table-bordered > thead > tr:first-child > th,\n.panel > .table-responsive > .table-bordered > thead > tr:first-child > th,\n.panel > .table-bordered > tbody > tr:first-child > th,\n.panel > .table-responsive > .table-bordered > tbody > tr:first-child > th {\n  border-bottom: 0;\n}\n.panel > .table-bordered > tbody > tr:last-child > td,\n.panel > .table-responsive > .table-bordered > tbody > tr:last-child > td,\n.panel > .table-bordered > tfoot > tr:last-child > td,\n.panel > .table-responsive > .table-bordered > tfoot > tr:last-child > td,\n.panel > .table-bordered > tbody > tr:last-child > th,\n.panel > .table-responsive > .table-bordered > tbody > tr:last-child > th,\n.panel > .table-bordered > tfoot > tr:last-child > th,\n.panel > .table-responsive > .table-bordered > tfoot > tr:last-child > th {\n  border-bottom: 0;\n}\n.panel > .table-responsive {\n  margin-bottom: 0;\n  border: 0;\n}\n.panel-group {\n  margin-bottom: 20px;\n}\n.panel-group .panel {\n  margin-bottom: 0;\n  border-radius: 4px;\n}\n.panel-group .panel + .panel {\n  margin-top: 5px;\n}\n.panel-group .panel-heading {\n  border-bottom: 0;\n}\n.panel-group .panel-heading + .panel-collapse > .panel-body,\n.panel-group .panel-heading + .panel-collapse > .list-group {\n  border-top: 1px solid #ddd;\n}\n.panel-group .panel-footer {\n  border-top: 0;\n}\n.panel-group .panel-footer + .panel-collapse .panel-body {\n  border-bottom: 1px solid #ddd;\n}\n.panel-default {\n  border-color: #ddd;\n}\n.panel-default > .panel-heading {\n  color: #333333;\n  background-color: #f5f5f5;\n  border-color: #ddd;\n}\n.panel-default > .panel-heading + .panel-collapse > .panel-body {\n  border-top-color: #ddd;\n}\n.panel-default > .panel-heading .badge {\n  color: #f5f5f5;\n  background-color: #333333;\n}\n.panel-default > .panel-footer + .panel-collapse > .panel-body {\n  border-bottom-color: #ddd;\n}\n.panel-primary {\n  border-color: #337ab7;\n}\n.panel-primary > .panel-heading {\n  color: #fff;\n  background-color: #337ab7;\n  border-color: #337ab7;\n}\n.panel-primary > .panel-heading + .panel-collapse > .panel-body {\n  border-top-color: #337ab7;\n}\n.panel-primary > .panel-heading .badge {\n  color: #337ab7;\n  background-color: #fff;\n}\n.panel-primary > .panel-footer + .panel-collapse > .panel-body {\n  border-bottom-color: #337ab7;\n}\n.panel-success {\n  border-color: #d6e9c6;\n}\n.panel-success > .panel-heading {\n  color: #3c763d;\n  background-color: #dff0d8;\n  border-color: #d6e9c6;\n}\n.panel-success > .panel-heading + .panel-collapse > .panel-body {\n  border-top-color: #d6e9c6;\n}\n.panel-success > .panel-heading .badge {\n  color: #dff0d8;\n  background-color: #3c763d;\n}\n.panel-success > .panel-footer + .panel-collapse > .panel-body {\n  border-bottom-color: #d6e9c6;\n}\n.panel-info {\n  border-color: #bce8f1;\n}\n.panel-info > .panel-heading {\n  color: #31708f;\n  background-color: #d9edf7;\n  border-color: #bce8f1;\n}\n.panel-info > .panel-heading + .panel-collapse > .panel-body {\n  border-top-color: #bce8f1;\n}\n.panel-info > .panel-heading .badge {\n  color: #d9edf7;\n  background-color: #31708f;\n}\n.panel-info > .panel-footer + .panel-collapse > .panel-body {\n  border-bottom-color: #bce8f1;\n}\n.panel-warning {\n  border-color: #faebcc;\n}\n.panel-warning > .panel-heading {\n  color: #8a6d3b;\n  background-color: #fcf8e3;\n  border-color: #faebcc;\n}\n.panel-warning > .panel-heading + .panel-collapse > .panel-body {\n  border-top-color: #faebcc;\n}\n.panel-warning > .panel-heading .badge {\n  color: #fcf8e3;\n  background-color: #8a6d3b;\n}\n.panel-warning > .panel-footer + .panel-collapse > .panel-body {\n  border-bottom-color: #faebcc;\n}\n.panel-danger {\n  border-color: #ebccd1;\n}\n.panel-danger > .panel-heading {\n  color: #a94442;\n  background-color: #f2dede;\n  border-color: #ebccd1;\n}\n.panel-danger > .panel-heading + .panel-collapse > .panel-body {\n  border-top-color: #ebccd1;\n}\n.panel-danger > .panel-heading .badge {\n  color: #f2dede;\n  background-color: #a94442;\n}\n.panel-danger > .panel-footer + .panel-collapse > .panel-body {\n  border-bottom-color: #ebccd1;\n}\n.embed-responsive {\n  position: relative;\n  display: block;\n  height: 0;\n  padding: 0;\n  overflow: hidden;\n}\n.embed-responsive .embed-responsive-item,\n.embed-responsive iframe,\n.embed-responsive embed,\n.embed-responsive object,\n.embed-responsive video {\n  position: absolute;\n  top: 0;\n  bottom: 0;\n  left: 0;\n  width: 100%;\n  height: 100%;\n  border: 0;\n}\n.embed-responsive-16by9 {\n  padding-bottom: 56.25%;\n}\n.embed-responsive-4by3 {\n  padding-bottom: 75%;\n}\n.well {\n  min-height: 20px;\n  padding: 19px;\n  margin-bottom: 20px;\n  background-color: #f5f5f5;\n  border: 1px solid #e3e3e3;\n  border-radius: 4px;\n  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);\n  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);\n}\n.well blockquote {\n  border-color: #ddd;\n  border-color: rgba(0, 0, 0, 0.15);\n}\n.well-lg {\n  padding: 24px;\n  border-radius: 6px;\n}\n.well-sm {\n  padding: 9px;\n  border-radius: 3px;\n}\n.close {\n  float: right;\n  font-size: 21px;\n  font-weight: bold;\n  line-height: 1;\n  color: #000;\n  text-shadow: 0 1px 0 #fff;\n  filter: alpha(opacity=20);\n  opacity: 0.2;\n}\n.close:hover,\n.close:focus {\n  color: #000;\n  text-decoration: none;\n  cursor: pointer;\n  filter: alpha(opacity=50);\n  opacity: 0.5;\n}\nbutton.close {\n  padding: 0;\n  cursor: pointer;\n  background: transparent;\n  border: 0;\n  -webkit-appearance: none;\n  -moz-appearance: none;\n  appearance: none;\n}\n.modal-open {\n  overflow: hidden;\n}\n.modal {\n  position: fixed;\n  top: 0;\n  right: 0;\n  bottom: 0;\n  left: 0;\n  z-index: 1050;\n  display: none;\n  overflow: hidden;\n  -webkit-overflow-scrolling: touch;\n  outline: 0;\n}\n.modal.fade .modal-dialog {\n  -webkit-transform: translate(0, -25%);\n  -ms-transform: translate(0, -25%);\n  -o-transform: translate(0, -25%);\n  transform: translate(0, -25%);\n  -webkit-transition: -webkit-transform 0.3s ease-out;\n  -o-transition: -o-transform 0.3s ease-out;\n  transition: -webkit-transform 0.3s ease-out;\n  transition: transform 0.3s ease-out;\n  transition: transform 0.3s ease-out, -webkit-transform 0.3s ease-out, -o-transform 0.3s ease-out;\n}\n.modal.in .modal-dialog {\n  -webkit-transform: translate(0, 0);\n  -ms-transform: translate(0, 0);\n  -o-transform: translate(0, 0);\n  transform: translate(0, 0);\n}\n.modal-open .modal {\n  overflow-x: hidden;\n  overflow-y: auto;\n}\n.modal-dialog {\n  position: relative;\n  width: auto;\n  margin: 10px;\n}\n.modal-content {\n  position: relative;\n  background-color: #fff;\n  background-clip: padding-box;\n  border: 1px solid #999;\n  border: 1px solid rgba(0, 0, 0, 0.2);\n  border-radius: 6px;\n  -webkit-box-shadow: 0 3px 9px rgba(0, 0, 0, 0.5);\n  box-shadow: 0 3px 9px rgba(0, 0, 0, 0.5);\n  outline: 0;\n}\n.modal-backdrop {\n  position: fixed;\n  top: 0;\n  right: 0;\n  bottom: 0;\n  left: 0;\n  z-index: 1040;\n  background-color: #000;\n}\n.modal-backdrop.fade {\n  filter: alpha(opacity=0);\n  opacity: 0;\n}\n.modal-backdrop.in {\n  filter: alpha(opacity=50);\n  opacity: 0.5;\n}\n.modal-header {\n  padding: 15px;\n  border-bottom: 1px solid #e5e5e5;\n}\n.modal-header .close {\n  margin-top: -2px;\n}\n.modal-title {\n  margin: 0;\n  line-height: 1.42857143;\n}\n.modal-body {\n  position: relative;\n  padding: 15px;\n}\n.modal-footer {\n  padding: 15px;\n  text-align: right;\n  border-top: 1px solid #e5e5e5;\n}\n.modal-footer .btn + .btn {\n  margin-bottom: 0;\n  margin-left: 5px;\n}\n.modal-footer .btn-group .btn + .btn {\n  margin-left: -1px;\n}\n.modal-footer .btn-block + .btn-block {\n  margin-left: 0;\n}\n.modal-scrollbar-measure {\n  position: absolute;\n  top: -9999px;\n  width: 50px;\n  height: 50px;\n  overflow: scroll;\n}\n@media (min-width: 768px) {\n  .modal-dialog {\n    width: 600px;\n    margin: 30px auto;\n  }\n  .modal-content {\n    -webkit-box-shadow: 0 5px 15px rgba(0, 0, 0, 0.5);\n    box-shadow: 0 5px 15px rgba(0, 0, 0, 0.5);\n  }\n  .modal-sm {\n    width: 300px;\n  }\n}\n@media (min-width: 992px) {\n  .modal-lg {\n    width: 900px;\n  }\n}\n.tooltip {\n  position: absolute;\n  z-index: 1070;\n  display: block;\n  font-family: \"Helvetica Neue\", Helvetica, Arial, sans-serif;\n  font-style: normal;\n  font-weight: 400;\n  line-height: 1.42857143;\n  line-break: auto;\n  text-align: left;\n  text-align: start;\n  text-decoration: none;\n  text-shadow: none;\n  text-transform: none;\n  letter-spacing: normal;\n  word-break: normal;\n  word-spacing: normal;\n  word-wrap: normal;\n  white-space: normal;\n  font-size: 12px;\n  filter: alpha(opacity=0);\n  opacity: 0;\n}\n.tooltip.in {\n  filter: alpha(opacity=90);\n  opacity: 0.9;\n}\n.tooltip.top {\n  padding: 5px 0;\n  margin-top: -3px;\n}\n.tooltip.right {\n  padding: 0 5px;\n  margin-left: 3px;\n}\n.tooltip.bottom {\n  padding: 5px 0;\n  margin-top: 3px;\n}\n.tooltip.left {\n  padding: 0 5px;\n  margin-left: -3px;\n}\n.tooltip.top .tooltip-arrow {\n  bottom: 0;\n  left: 50%;\n  margin-left: -5px;\n  border-width: 5px 5px 0;\n  border-top-color: #000;\n}\n.tooltip.top-left .tooltip-arrow {\n  right: 5px;\n  bottom: 0;\n  margin-bottom: -5px;\n  border-width: 5px 5px 0;\n  border-top-color: #000;\n}\n.tooltip.top-right .tooltip-arrow {\n  bottom: 0;\n  left: 5px;\n  margin-bottom: -5px;\n  border-width: 5px 5px 0;\n  border-top-color: #000;\n}\n.tooltip.right .tooltip-arrow {\n  top: 50%;\n  left: 0;\n  margin-top: -5px;\n  border-width: 5px 5px 5px 0;\n  border-right-color: #000;\n}\n.tooltip.left .tooltip-arrow {\n  top: 50%;\n  right: 0;\n  margin-top: -5px;\n  border-width: 5px 0 5px 5px;\n  border-left-color: #000;\n}\n.tooltip.bottom .tooltip-arrow {\n  top: 0;\n  left: 50%;\n  margin-left: -5px;\n  border-width: 0 5px 5px;\n  border-bottom-color: #000;\n}\n.tooltip.bottom-left .tooltip-arrow {\n  top: 0;\n  right: 5px;\n  margin-top: -5px;\n  border-width: 0 5px 5px;\n  border-bottom-color: #000;\n}\n.tooltip.bottom-right .tooltip-arrow {\n  top: 0;\n  left: 5px;\n  margin-top: -5px;\n  border-width: 0 5px 5px;\n  border-bottom-color: #000;\n}\n.tooltip-inner {\n  max-width: 200px;\n  padding: 3px 8px;\n  color: #fff;\n  text-align: center;\n  background-color: #000;\n  border-radius: 4px;\n}\n.tooltip-arrow {\n  position: absolute;\n  width: 0;\n  height: 0;\n  border-color: transparent;\n  border-style: solid;\n}\n.popover {\n  position: absolute;\n  top: 0;\n  left: 0;\n  z-index: 1060;\n  display: none;\n  max-width: 276px;\n  padding: 1px;\n  font-family: \"Helvetica Neue\", Helvetica, Arial, sans-serif;\n  font-style: normal;\n  font-weight: 400;\n  line-height: 1.42857143;\n  line-break: auto;\n  text-align: left;\n  text-align: start;\n  text-decoration: none;\n  text-shadow: none;\n  text-transform: none;\n  letter-spacing: normal;\n  word-break: normal;\n  word-spacing: normal;\n  word-wrap: normal;\n  white-space: normal;\n  font-size: 14px;\n  background-color: #fff;\n  background-clip: padding-box;\n  border: 1px solid #ccc;\n  border: 1px solid rgba(0, 0, 0, 0.2);\n  border-radius: 6px;\n  -webkit-box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);\n  box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);\n}\n.popover.top {\n  margin-top: -10px;\n}\n.popover.right {\n  margin-left: 10px;\n}\n.popover.bottom {\n  margin-top: 10px;\n}\n.popover.left {\n  margin-left: -10px;\n}\n.popover > .arrow {\n  border-width: 11px;\n}\n.popover > .arrow,\n.popover > .arrow:after {\n  position: absolute;\n  display: block;\n  width: 0;\n  height: 0;\n  border-color: transparent;\n  border-style: solid;\n}\n.popover > .arrow:after {\n  content: \"\";\n  border-width: 10px;\n}\n.popover.top > .arrow {\n  bottom: -11px;\n  left: 50%;\n  margin-left: -11px;\n  border-top-color: #999999;\n  border-top-color: rgba(0, 0, 0, 0.25);\n  border-bottom-width: 0;\n}\n.popover.top > .arrow:after {\n  bottom: 1px;\n  margin-left: -10px;\n  content: \" \";\n  border-top-color: #fff;\n  border-bottom-width: 0;\n}\n.popover.right > .arrow {\n  top: 50%;\n  left: -11px;\n  margin-top: -11px;\n  border-right-color: #999999;\n  border-right-color: rgba(0, 0, 0, 0.25);\n  border-left-width: 0;\n}\n.popover.right > .arrow:after {\n  bottom: -10px;\n  left: 1px;\n  content: \" \";\n  border-right-color: #fff;\n  border-left-width: 0;\n}\n.popover.bottom > .arrow {\n  top: -11px;\n  left: 50%;\n  margin-left: -11px;\n  border-top-width: 0;\n  border-bottom-color: #999999;\n  border-bottom-color: rgba(0, 0, 0, 0.25);\n}\n.popover.bottom > .arrow:after {\n  top: 1px;\n  margin-left: -10px;\n  content: \" \";\n  border-top-width: 0;\n  border-bottom-color: #fff;\n}\n.popover.left > .arrow {\n  top: 50%;\n  right: -11px;\n  margin-top: -11px;\n  border-right-width: 0;\n  border-left-color: #999999;\n  border-left-color: rgba(0, 0, 0, 0.25);\n}\n.popover.left > .arrow:after {\n  right: 1px;\n  bottom: -10px;\n  content: \" \";\n  border-right-width: 0;\n  border-left-color: #fff;\n}\n.popover-title {\n  padding: 8px 14px;\n  margin: 0;\n  font-size: 14px;\n  background-color: #f7f7f7;\n  border-bottom: 1px solid #ebebeb;\n  border-radius: 5px 5px 0 0;\n}\n.popover-content {\n  padding: 9px 14px;\n}\n.carousel {\n  position: relative;\n}\n.carousel-inner {\n  position: relative;\n  width: 100%;\n  overflow: hidden;\n}\n.carousel-inner > .item {\n  position: relative;\n  display: none;\n  -webkit-transition: 0.6s ease-in-out left;\n  -o-transition: 0.6s ease-in-out left;\n  transition: 0.6s ease-in-out left;\n}\n.carousel-inner > .item > img,\n.carousel-inner > .item > a > img {\n  line-height: 1;\n}\n@media all and (transform-3d), (-webkit-transform-3d) {\n  .carousel-inner > .item {\n    -webkit-transition: -webkit-transform 0.6s ease-in-out;\n    -o-transition: -o-transform 0.6s ease-in-out;\n    transition: -webkit-transform 0.6s ease-in-out;\n    transition: transform 0.6s ease-in-out;\n    transition: transform 0.6s ease-in-out, -webkit-transform 0.6s ease-in-out, -o-transform 0.6s ease-in-out;\n    -webkit-backface-visibility: hidden;\n    backface-visibility: hidden;\n    -webkit-perspective: 1000px;\n    perspective: 1000px;\n  }\n  .carousel-inner > .item.next,\n  .carousel-inner > .item.active.right {\n    -webkit-transform: translate3d(100%, 0, 0);\n    transform: translate3d(100%, 0, 0);\n    left: 0;\n  }\n  .carousel-inner > .item.prev,\n  .carousel-inner > .item.active.left {\n    -webkit-transform: translate3d(-100%, 0, 0);\n    transform: translate3d(-100%, 0, 0);\n    left: 0;\n  }\n  .carousel-inner > .item.next.left,\n  .carousel-inner > .item.prev.right,\n  .carousel-inner > .item.active {\n    -webkit-transform: translate3d(0, 0, 0);\n    transform: translate3d(0, 0, 0);\n    left: 0;\n  }\n}\n.carousel-inner > .active,\n.carousel-inner > .next,\n.carousel-inner > .prev {\n  display: block;\n}\n.carousel-inner > .active {\n  left: 0;\n}\n.carousel-inner > .next,\n.carousel-inner > .prev {\n  position: absolute;\n  top: 0;\n  width: 100%;\n}\n.carousel-inner > .next {\n  left: 100%;\n}\n.carousel-inner > .prev {\n  left: -100%;\n}\n.carousel-inner > .next.left,\n.carousel-inner > .prev.right {\n  left: 0;\n}\n.carousel-inner > .active.left {\n  left: -100%;\n}\n.carousel-inner > .active.right {\n  left: 100%;\n}\n.carousel-control {\n  position: absolute;\n  top: 0;\n  bottom: 0;\n  left: 0;\n  width: 15%;\n  font-size: 20px;\n  color: #fff;\n  text-align: center;\n  text-shadow: 0 1px 2px rgba(0, 0, 0, 0.6);\n  background-color: rgba(0, 0, 0, 0);\n  filter: alpha(opacity=50);\n  opacity: 0.5;\n}\n.carousel-control.left {\n  background-image: -webkit-linear-gradient(left, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);\n  background-image: -o-linear-gradient(left, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);\n  background-image: -webkit-gradient(linear, left top, right top, from(rgba(0, 0, 0, 0.5)), to(rgba(0, 0, 0, 0.0001)));\n  background-image: linear-gradient(to right, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#80000000', endColorstr='#00000000', GradientType=1);\n  background-repeat: repeat-x;\n}\n.carousel-control.right {\n  right: 0;\n  left: auto;\n  background-image: -webkit-linear-gradient(left, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);\n  background-image: -o-linear-gradient(left, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);\n  background-image: -webkit-gradient(linear, left top, right top, from(rgba(0, 0, 0, 0.0001)), to(rgba(0, 0, 0, 0.5)));\n  background-image: linear-gradient(to right, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);\n  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#00000000', endColorstr='#80000000', GradientType=1);\n  background-repeat: repeat-x;\n}\n.carousel-control:hover,\n.carousel-control:focus {\n  color: #fff;\n  text-decoration: none;\n  outline: 0;\n  filter: alpha(opacity=90);\n  opacity: 0.9;\n}\n.carousel-control .icon-prev,\n.carousel-control .icon-next,\n.carousel-control .glyphicon-chevron-left,\n.carousel-control .glyphicon-chevron-right {\n  position: absolute;\n  top: 50%;\n  z-index: 5;\n  display: inline-block;\n  margin-top: -10px;\n}\n.carousel-control .icon-prev,\n.carousel-control .glyphicon-chevron-left {\n  left: 50%;\n  margin-left: -10px;\n}\n.carousel-control .icon-next,\n.carousel-control .glyphicon-chevron-right {\n  right: 50%;\n  margin-right: -10px;\n}\n.carousel-control .icon-prev,\n.carousel-control .icon-next {\n  width: 20px;\n  height: 20px;\n  font-family: serif;\n  line-height: 1;\n}\n.carousel-control .icon-prev:before {\n  content: \"\\2039\";\n}\n.carousel-control .icon-next:before {\n  content: \"\\203a\";\n}\n.carousel-indicators {\n  position: absolute;\n  bottom: 10px;\n  left: 50%;\n  z-index: 15;\n  width: 60%;\n  padding-left: 0;\n  margin-left: -30%;\n  text-align: center;\n  list-style: none;\n}\n.carousel-indicators li {\n  display: inline-block;\n  width: 10px;\n  height: 10px;\n  margin: 1px;\n  text-indent: -999px;\n  cursor: pointer;\n  background-color: #000 \\9;\n  background-color: rgba(0, 0, 0, 0);\n  border: 1px solid #fff;\n  border-radius: 10px;\n}\n.carousel-indicators .active {\n  width: 12px;\n  height: 12px;\n  margin: 0;\n  background-color: #fff;\n}\n.carousel-caption {\n  position: absolute;\n  right: 15%;\n  bottom: 20px;\n  left: 15%;\n  z-index: 10;\n  padding-top: 20px;\n  padding-bottom: 20px;\n  color: #fff;\n  text-align: center;\n  text-shadow: 0 1px 2px rgba(0, 0, 0, 0.6);\n}\n.carousel-caption .btn {\n  text-shadow: none;\n}\n@media screen and (min-width: 768px) {\n  .carousel-control .glyphicon-chevron-left,\n  .carousel-control .glyphicon-chevron-right,\n  .carousel-control .icon-prev,\n  .carousel-control .icon-next {\n    width: 30px;\n    height: 30px;\n    margin-top: -10px;\n    font-size: 30px;\n  }\n  .carousel-control .glyphicon-chevron-left,\n  .carousel-control .icon-prev {\n    margin-left: -10px;\n  }\n  .carousel-control .glyphicon-chevron-right,\n  .carousel-control .icon-next {\n    margin-right: -10px;\n  }\n  .carousel-caption {\n    right: 20%;\n    left: 20%;\n    padding-bottom: 30px;\n  }\n  .carousel-indicators {\n    bottom: 20px;\n  }\n}\n.clearfix:before,\n.clearfix:after,\n.dl-horizontal dd:before,\n.dl-horizontal dd:after,\n.container:before,\n.container:after,\n.container-fluid:before,\n.container-fluid:after,\n.row:before,\n.row:after,\n.form-horizontal .form-group:before,\n.form-horizontal .form-group:after,\n.btn-toolbar:before,\n.btn-toolbar:after,\n.btn-group-vertical > .btn-group:before,\n.btn-group-vertical > .btn-group:after,\n.nav:before,\n.nav:after,\n.navbar:before,\n.navbar:after,\n.navbar-header:before,\n.navbar-header:after,\n.navbar-collapse:before,\n.navbar-collapse:after,\n.pager:before,\n.pager:after,\n.panel-body:before,\n.panel-body:after,\n.modal-header:before,\n.modal-header:after,\n.modal-footer:before,\n.modal-footer:after {\n  display: table;\n  content: \" \";\n}\n.clearfix:after,\n.dl-horizontal dd:after,\n.container:after,\n.container-fluid:after,\n.row:after,\n.form-horizontal .form-group:after,\n.btn-toolbar:after,\n.btn-group-vertical > .btn-group:after,\n.nav:after,\n.navbar:after,\n.navbar-header:after,\n.navbar-collapse:after,\n.pager:after,\n.panel-body:after,\n.modal-header:after,\n.modal-footer:after {\n  clear: both;\n}\n.center-block {\n  display: block;\n  margin-right: auto;\n  margin-left: auto;\n}\n.pull-right {\n  float: right !important;\n}\n.pull-left {\n  float: left !important;\n}\n.hide {\n  display: none !important;\n}\n.show {\n  display: block !important;\n}\n.invisible {\n  visibility: hidden;\n}\n.text-hide {\n  font: 0/0 a;\n  color: transparent;\n  text-shadow: none;\n  background-color: transparent;\n  border: 0;\n}\n.hidden {\n  display: none !important;\n}\n.affix {\n  position: fixed;\n}\n@-ms-viewport {\n  width: device-width;\n}\n.visible-xs,\n.visible-sm,\n.visible-md,\n.visible-lg {\n  display: none !important;\n}\n.visible-xs-block,\n.visible-xs-inline,\n.visible-xs-inline-block,\n.visible-sm-block,\n.visible-sm-inline,\n.visible-sm-inline-block,\n.visible-md-block,\n.visible-md-inline,\n.visible-md-inline-block,\n.visible-lg-block,\n.visible-lg-inline,\n.visible-lg-inline-block {\n  display: none !important;\n}\n@media (max-width: 767px) {\n  .visible-xs {\n    display: block !important;\n  }\n  table.visible-xs {\n    display: table !important;\n  }\n  tr.visible-xs {\n    display: table-row !important;\n  }\n  th.visible-xs,\n  td.visible-xs {\n    display: table-cell !important;\n  }\n}\n@media (max-width: 767px) {\n  .visible-xs-block {\n    display: block !important;\n  }\n}\n@media (max-width: 767px) {\n  .visible-xs-inline {\n    display: inline !important;\n  }\n}\n@media (max-width: 767px) {\n  .visible-xs-inline-block {\n    display: inline-block !important;\n  }\n}\n@media (min-width: 768px) and (max-width: 991px) {\n  .visible-sm {\n    display: block !important;\n  }\n  table.visible-sm {\n    display: table !important;\n  }\n  tr.visible-sm {\n    display: table-row !important;\n  }\n  th.visible-sm,\n  td.visible-sm {\n    display: table-cell !important;\n  }\n}\n@media (min-width: 768px) and (max-width: 991px) {\n  .visible-sm-block {\n    display: block !important;\n  }\n}\n@media (min-width: 768px) and (max-width: 991px) {\n  .visible-sm-inline {\n    display: inline !important;\n  }\n}\n@media (min-width: 768px) and (max-width: 991px) {\n  .visible-sm-inline-block {\n    display: inline-block !important;\n  }\n}\n@media (min-width: 992px) and (max-width: 1199px) {\n  .visible-md {\n    display: block !important;\n  }\n  table.visible-md {\n    display: table !important;\n  }\n  tr.visible-md {\n    display: table-row !important;\n  }\n  th.visible-md,\n  td.visible-md {\n    display: table-cell !important;\n  }\n}\n@media (min-width: 992px) and (max-width: 1199px) {\n  .visible-md-block {\n    display: block !important;\n  }\n}\n@media (min-width: 992px) and (max-width: 1199px) {\n  .visible-md-inline {\n    display: inline !important;\n  }\n}\n@media (min-width: 992px) and (max-width: 1199px) {\n  .visible-md-inline-block {\n    display: inline-block !important;\n  }\n}\n@media (min-width: 1200px) {\n  .visible-lg {\n    display: block !important;\n  }\n  table.visible-lg {\n    display: table !important;\n  }\n  tr.visible-lg {\n    display: table-row !important;\n  }\n  th.visible-lg,\n  td.visible-lg {\n    display: table-cell !important;\n  }\n}\n@media (min-width: 1200px) {\n  .visible-lg-block {\n    display: block !important;\n  }\n}\n@media (min-width: 1200px) {\n  .visible-lg-inline {\n    display: inline !important;\n  }\n}\n@media (min-width: 1200px) {\n  .visible-lg-inline-block {\n    display: inline-block !important;\n  }\n}\n@media (max-width: 767px) {\n  .hidden-xs {\n    display: none !important;\n  }\n}\n@media (min-width: 768px) and (max-width: 991px) {\n  .hidden-sm {\n    display: none !important;\n  }\n}\n@media (min-width: 992px) and (max-width: 1199px) {\n  .hidden-md {\n    display: none !important;\n  }\n}\n@media (min-width: 1200px) {\n  .hidden-lg {\n    display: none !important;\n  }\n}\n.visible-print {\n  display: none !important;\n}\n@media print {\n  .visible-print {\n    display: block !important;\n  }\n  table.visible-print {\n    display: table !important;\n  }\n  tr.visible-print {\n    display: table-row !important;\n  }\n  th.visible-print,\n  td.visible-print {\n    display: table-cell !important;\n  }\n}\n.visible-print-block {\n  display: none !important;\n}\n@media print {\n  .visible-print-block {\n    display: block !important;\n  }\n}\n.visible-print-inline {\n  display: none !important;\n}\n@media print {\n  .visible-print-inline {\n    display: inline !important;\n  }\n}\n.visible-print-inline-block {\n  display: none !important;\n}\n@media print {\n  .visible-print-inline-block {\n    display: inline-block !important;\n  }\n}\n@media print {\n  .hidden-print {\n    display: none !important;\n  }\n}\n/*# sourceMappingURL=bootstrap.css.map */","// stylelint-disable declaration-no-important, selector-no-qualifying-type\n\n/*! Source: https://github.com/h5bp/html5-boilerplate/blob/master/src/css/main.css */\n\n// ==========================================================================\n// Print styles.\n// Inlined to avoid the additional HTTP request: h5bp.com/r\n// ==========================================================================\n\n@media print {\n  *,\n  *:before,\n  *:after {\n    color: #000 !important; // Black prints faster: h5bp.com/s\n    text-shadow: none !important;\n    background: transparent !important;\n    box-shadow: none !important;\n  }\n\n  a,\n  a:visited {\n    text-decoration: underline;\n  }\n\n  a[href]:after {\n    content: \" (\" attr(href) \")\";\n  }\n\n  abbr[title]:after {\n    content: \" (\" attr(title) \")\";\n  }\n\n  // Don't show links that are fragment identifiers,\n  // or use the `javascript:` pseudo protocol\n  a[href^=\"#\"]:after,\n  a[href^=\"javascript:\"]:after {\n    content: \"\";\n  }\n\n  pre,\n  blockquote {\n    border: 1px solid #999;\n    page-break-inside: avoid;\n  }\n\n  thead {\n    display: table-header-group; // h5bp.com/t\n  }\n\n  tr,\n  img {\n    page-break-inside: avoid;\n  }\n\n  img {\n    max-width: 100% !important;\n  }\n\n  p,\n  h2,\n  h3 {\n    orphans: 3;\n    widows: 3;\n  }\n\n  h2,\n  h3 {\n    page-break-after: avoid;\n  }\n\n  // Bootstrap specific changes start\n\n  // Bootstrap components\n  .navbar {\n    display: none;\n  }\n  .btn,\n  .dropup > .btn {\n    > .caret {\n      border-top-color: #000 !important;\n    }\n  }\n  .label {\n    border: 1px solid #000;\n  }\n\n  .table {\n    border-collapse: collapse !important;\n\n    td,\n    th {\n      background-color: #fff !important;\n    }\n  }\n  .table-bordered {\n    th,\n    td {\n      border: 1px solid #ddd !important;\n    }\n  }\n}\n","// stylelint-disable value-list-comma-newline-after, value-list-comma-space-after, indentation, declaration-colon-newline-after, font-family-no-missing-generic-family-keyword\n\n//\n// Glyphicons for Bootstrap\n//\n// Since icons are fonts, they can be placed anywhere text is placed and are\n// thus automatically sized to match the surrounding child. To use, create an\n// inline element with the appropriate classes, like so:\n//\n// <a href=\"#\"><span class=\"glyphicon glyphicon-star\"></span> Star</a>\n\n// Import the fonts\n@font-face {\n  font-family: \"Glyphicons Halflings\";\n  src: url(\"@{icon-font-path}@{icon-font-name}.eot\");\n  src: url(\"@{icon-font-path}@{icon-font-name}.eot?#iefix\") format(\"embedded-opentype\"),\n       url(\"@{icon-font-path}@{icon-font-name}.woff2\") format(\"woff2\"),\n       url(\"@{icon-font-path}@{icon-font-name}.woff\") format(\"woff\"),\n       url(\"@{icon-font-path}@{icon-font-name}.ttf\") format(\"truetype\"),\n       url(\"@{icon-font-path}@{icon-font-name}.svg#@{icon-font-svg-id}\") format(\"svg\");\n}\n\n// Catchall baseclass\n.glyphicon {\n  position: relative;\n  top: 1px;\n  display: inline-block;\n  font-family: \"Glyphicons Halflings\";\n  font-style: normal;\n  font-weight: 400;\n  line-height: 1;\n  -webkit-font-smoothing: antialiased;\n  -moz-osx-font-smoothing: grayscale;\n}\n\n// Individual icons\n.glyphicon-asterisk               { &:before { content: \"\\002a\"; } }\n.glyphicon-plus                   { &:before { content: \"\\002b\"; } }\n.glyphicon-euro,\n.glyphicon-eur                    { &:before { content: \"\\20ac\"; } }\n.glyphicon-minus                  { &:before { content: \"\\2212\"; } }\n.glyphicon-cloud                  { &:before { content: \"\\2601\"; } }\n.glyphicon-envelope               { &:before { content: \"\\2709\"; } }\n.glyphicon-pencil                 { &:before { content: \"\\270f\"; } }\n.glyphicon-glass                  { &:before { content: \"\\e001\"; } }\n.glyphicon-music                  { &:before { content: \"\\e002\"; } }\n.glyphicon-search                 { &:before { content: \"\\e003\"; } }\n.glyphicon-heart                  { &:before { content: \"\\e005\"; } }\n.glyphicon-star                   { &:before { content: \"\\e006\"; } }\n.glyphicon-star-empty             { &:before { content: \"\\e007\"; } }\n.glyphicon-user                   { &:before { content: \"\\e008\"; } }\n.glyphicon-film                   { &:before { content: \"\\e009\"; } }\n.glyphicon-th-large               { &:before { content: \"\\e010\"; } }\n.glyphicon-th                     { &:before { content: \"\\e011\"; } }\n.glyphicon-th-list                { &:before { content: \"\\e012\"; } }\n.glyphicon-ok                     { &:before { content: \"\\e013\"; } }\n.glyphicon-remove                 { &:before { content: \"\\e014\"; } }\n.glyphicon-zoom-in                { &:before { content: \"\\e015\"; } }\n.glyphicon-zoom-out               { &:before { content: \"\\e016\"; } }\n.glyphicon-off                    { &:before { content: \"\\e017\"; } }\n.glyphicon-signal                 { &:before { content: \"\\e018\"; } }\n.glyphicon-cog                    { &:before { content: \"\\e019\"; } }\n.glyphicon-trash                  { &:before { content: \"\\e020\"; } }\n.glyphicon-home                   { &:before { content: \"\\e021\"; } }\n.glyphicon-file                   { &:before { content: \"\\e022\"; } }\n.glyphicon-time                   { &:before { content: \"\\e023\"; } }\n.glyphicon-road                   { &:before { content: \"\\e024\"; } }\n.glyphicon-download-alt           { &:before { content: \"\\e025\"; } }\n.glyphicon-download               { &:before { content: \"\\e026\"; } }\n.glyphicon-upload                 { &:before { content: \"\\e027\"; } }\n.glyphicon-inbox                  { &:before { content: \"\\e028\"; } }\n.glyphicon-play-circle            { &:before { content: \"\\e029\"; } }\n.glyphicon-repeat                 { &:before { content: \"\\e030\"; } }\n.glyphicon-refresh                { &:before { content: \"\\e031\"; } }\n.glyphicon-list-alt               { &:before { content: \"\\e032\"; } }\n.glyphicon-lock                   { &:before { content: \"\\e033\"; } }\n.glyphicon-flag                   { &:before { content: \"\\e034\"; } }\n.glyphicon-headphones             { &:before { content: \"\\e035\"; } }\n.glyphicon-volume-off             { &:before { content: \"\\e036\"; } }\n.glyphicon-volume-down            { &:before { content: \"\\e037\"; } }\n.glyphicon-volume-up              { &:before { content: \"\\e038\"; } }\n.glyphicon-qrcode                 { &:before { content: \"\\e039\"; } }\n.glyphicon-barcode                { &:before { content: \"\\e040\"; } }\n.glyphicon-tag                    { &:before { content: \"\\e041\"; } }\n.glyphicon-tags                   { &:before { content: \"\\e042\"; } }\n.glyphicon-book                   { &:before { content: \"\\e043\"; } }\n.glyphicon-bookmark               { &:before { content: \"\\e044\"; } }\n.glyphicon-print                  { &:before { content: \"\\e045\"; } }\n.glyphicon-camera                 { &:before { content: \"\\e046\"; } }\n.glyphicon-font                   { &:before { content: \"\\e047\"; } }\n.glyphicon-bold                   { &:before { content: \"\\e048\"; } }\n.glyphicon-italic                 { &:before { content: \"\\e049\"; } }\n.glyphicon-text-height            { &:before { content: \"\\e050\"; } }\n.glyphicon-text-width             { &:before { content: \"\\e051\"; } }\n.glyphicon-align-left             { &:before { content: \"\\e052\"; } }\n.glyphicon-align-center           { &:before { content: \"\\e053\"; } }\n.glyphicon-align-right            { &:before { content: \"\\e054\"; } }\n.glyphicon-align-justify          { &:before { content: \"\\e055\"; } }\n.glyphicon-list                   { &:before { content: \"\\e056\"; } }\n.glyphicon-indent-left            { &:before { content: \"\\e057\"; } }\n.glyphicon-indent-right           { &:before { content: \"\\e058\"; } }\n.glyphicon-facetime-video         { &:before { content: \"\\e059\"; } }\n.glyphicon-picture                { &:before { content: \"\\e060\"; } }\n.glyphicon-map-marker             { &:before { content: \"\\e062\"; } }\n.glyphicon-adjust                 { &:before { content: \"\\e063\"; } }\n.glyphicon-tint                   { &:before { content: \"\\e064\"; } }\n.glyphicon-edit                   { &:before { content: \"\\e065\"; } }\n.glyphicon-share                  { &:before { content: \"\\e066\"; } }\n.glyphicon-check                  { &:before { content: \"\\e067\"; } }\n.glyphicon-move                   { &:before { content: \"\\e068\"; } }\n.glyphicon-step-backward          { &:before { content: \"\\e069\"; } }\n.glyphicon-fast-backward          { &:before { content: \"\\e070\"; } }\n.glyphicon-backward               { &:before { content: \"\\e071\"; } }\n.glyphicon-play                   { &:before { content: \"\\e072\"; } }\n.glyphicon-pause                  { &:before { content: \"\\e073\"; } }\n.glyphicon-stop                   { &:before { content: \"\\e074\"; } }\n.glyphicon-forward                { &:before { content: \"\\e075\"; } }\n.glyphicon-fast-forward           { &:before { content: \"\\e076\"; } }\n.glyphicon-step-forward           { &:before { content: \"\\e077\"; } }\n.glyphicon-eject                  { &:before { content: \"\\e078\"; } }\n.glyphicon-chevron-left           { &:before { content: \"\\e079\"; } }\n.glyphicon-chevron-right          { &:before { content: \"\\e080\"; } }\n.glyphicon-plus-sign              { &:before { content: \"\\e081\"; } }\n.glyphicon-minus-sign             { &:before { content: \"\\e082\"; } }\n.glyphicon-remove-sign            { &:before { content: \"\\e083\"; } }\n.glyphicon-ok-sign                { &:before { content: \"\\e084\"; } }\n.glyphicon-question-sign          { &:before { content: \"\\e085\"; } }\n.glyphicon-info-sign              { &:before { content: \"\\e086\"; } }\n.glyphicon-screenshot             { &:before { content: \"\\e087\"; } }\n.glyphicon-remove-circle          { &:before { content: \"\\e088\"; } }\n.glyphicon-ok-circle              { &:before { content: \"\\e089\"; } }\n.glyphicon-ban-circle             { &:before { content: \"\\e090\"; } }\n.glyphicon-arrow-left             { &:before { content: \"\\e091\"; } }\n.glyphicon-arrow-right            { &:before { content: \"\\e092\"; } }\n.glyphicon-arrow-up               { &:before { content: \"\\e093\"; } }\n.glyphicon-arrow-down             { &:before { content: \"\\e094\"; } }\n.glyphicon-share-alt              { &:before { content: \"\\e095\"; } }\n.glyphicon-resize-full            { &:before { content: \"\\e096\"; } }\n.glyphicon-resize-small           { &:before { content: \"\\e097\"; } }\n.glyphicon-exclamation-sign       { &:before { content: \"\\e101\"; } }\n.glyphicon-gift                   { &:before { content: \"\\e102\"; } }\n.glyphicon-leaf                   { &:before { content: \"\\e103\"; } }\n.glyphicon-fire                   { &:before { content: \"\\e104\"; } }\n.glyphicon-eye-open               { &:before { content: \"\\e105\"; } }\n.glyphicon-eye-close              { &:before { content: \"\\e106\"; } }\n.glyphicon-warning-sign           { &:before { content: \"\\e107\"; } }\n.glyphicon-plane                  { &:before { content: \"\\e108\"; } }\n.glyphicon-calendar               { &:before { content: \"\\e109\"; } }\n.glyphicon-random                 { &:before { content: \"\\e110\"; } }\n.glyphicon-comment                { &:before { content: \"\\e111\"; } }\n.glyphicon-magnet                 { &:before { content: \"\\e112\"; } }\n.glyphicon-chevron-up             { &:before { content: \"\\e113\"; } }\n.glyphicon-chevron-down           { &:before { content: \"\\e114\"; } }\n.glyphicon-retweet                { &:before { content: \"\\e115\"; } }\n.glyphicon-shopping-cart          { &:before { content: \"\\e116\"; } }\n.glyphicon-folder-close           { &:before { content: \"\\e117\"; } }\n.glyphicon-folder-open            { &:before { content: \"\\e118\"; } }\n.glyphicon-resize-vertical        { &:before { content: \"\\e119\"; } }\n.glyphicon-resize-horizontal      { &:before { content: \"\\e120\"; } }\n.glyphicon-hdd                    { &:before { content: \"\\e121\"; } }\n.glyphicon-bullhorn               { &:before { content: \"\\e122\"; } }\n.glyphicon-bell                   { &:before { content: \"\\e123\"; } }\n.glyphicon-certificate            { &:before { content: \"\\e124\"; } }\n.glyphicon-thumbs-up              { &:before { content: \"\\e125\"; } }\n.glyphicon-thumbs-down            { &:before { content: \"\\e126\"; } }\n.glyphicon-hand-right             { &:before { content: \"\\e127\"; } }\n.glyphicon-hand-left              { &:before { content: \"\\e128\"; } }\n.glyphicon-hand-up                { &:before { content: \"\\e129\"; } }\n.glyphicon-hand-down              { &:before { content: \"\\e130\"; } }\n.glyphicon-circle-arrow-right     { &:before { content: \"\\e131\"; } }\n.glyphicon-circle-arrow-left      { &:before { content: \"\\e132\"; } }\n.glyphicon-circle-arrow-up        { &:before { content: \"\\e133\"; } }\n.glyphicon-circle-arrow-down      { &:before { content: \"\\e134\"; } }\n.glyphicon-globe                  { &:before { content: \"\\e135\"; } }\n.glyphicon-wrench                 { &:before { content: \"\\e136\"; } }\n.glyphicon-tasks                  { &:before { content: \"\\e137\"; } }\n.glyphicon-filter                 { &:before { content: \"\\e138\"; } }\n.glyphicon-briefcase              { &:before { content: \"\\e139\"; } }\n.glyphicon-fullscreen             { &:before { content: \"\\e140\"; } }\n.glyphicon-dashboard              { &:before { content: \"\\e141\"; } }\n.glyphicon-paperclip              { &:before { content: \"\\e142\"; } }\n.glyphicon-heart-empty            { &:before { content: \"\\e143\"; } }\n.glyphicon-link                   { &:before { content: \"\\e144\"; } }\n.glyphicon-phone                  { &:before { content: \"\\e145\"; } }\n.glyphicon-pushpin                { &:before { content: \"\\e146\"; } }\n.glyphicon-usd                    { &:before { content: \"\\e148\"; } }\n.glyphicon-gbp                    { &:before { content: \"\\e149\"; } }\n.glyphicon-sort                   { &:before { content: \"\\e150\"; } }\n.glyphicon-sort-by-alphabet       { &:before { content: \"\\e151\"; } }\n.glyphicon-sort-by-alphabet-alt   { &:before { content: \"\\e152\"; } }\n.glyphicon-sort-by-order          { &:before { content: \"\\e153\"; } }\n.glyphicon-sort-by-order-alt      { &:before { content: \"\\e154\"; } }\n.glyphicon-sort-by-attributes     { &:before { content: \"\\e155\"; } }\n.glyphicon-sort-by-attributes-alt { &:before { content: \"\\e156\"; } }\n.glyphicon-unchecked              { &:before { content: \"\\e157\"; } }\n.glyphicon-expand                 { &:before { content: \"\\e158\"; } }\n.glyphicon-collapse-down          { &:before { content: \"\\e159\"; } }\n.glyphicon-collapse-up            { &:before { content: \"\\e160\"; } }\n.glyphicon-log-in                 { &:before { content: \"\\e161\"; } }\n.glyphicon-flash                  { &:before { content: \"\\e162\"; } }\n.glyphicon-log-out                { &:before { content: \"\\e163\"; } }\n.glyphicon-new-window             { &:before { content: \"\\e164\"; } }\n.glyphicon-record                 { &:before { content: \"\\e165\"; } }\n.glyphicon-save                   { &:before { content: \"\\e166\"; } }\n.glyphicon-open                   { &:before { content: \"\\e167\"; } }\n.glyphicon-saved                  { &:before { content: \"\\e168\"; } }\n.glyphicon-import                 { &:before { content: \"\\e169\"; } }\n.glyphicon-export                 { &:before { content: \"\\e170\"; } }\n.glyphicon-send                   { &:before { content: \"\\e171\"; } }\n.glyphicon-floppy-disk            { &:before { content: \"\\e172\"; } }\n.glyphicon-floppy-saved           { &:before { content: \"\\e173\"; } }\n.glyphicon-floppy-remove          { &:before { content: \"\\e174\"; } }\n.glyphicon-floppy-save            { &:before { content: \"\\e175\"; } }\n.glyphicon-floppy-open            { &:before { content: \"\\e176\"; } }\n.glyphicon-credit-card            { &:before { content: \"\\e177\"; } }\n.glyphicon-transfer               { &:before { content: \"\\e178\"; } }\n.glyphicon-cutlery                { &:before { content: \"\\e179\"; } }\n.glyphicon-header                 { &:before { content: \"\\e180\"; } }\n.glyphicon-compressed             { &:before { content: \"\\e181\"; } }\n.glyphicon-earphone               { &:before { content: \"\\e182\"; } }\n.glyphicon-phone-alt              { &:before { content: \"\\e183\"; } }\n.glyphicon-tower                  { &:before { content: \"\\e184\"; } }\n.glyphicon-stats                  { &:before { content: \"\\e185\"; } }\n.glyphicon-sd-video               { &:before { content: \"\\e186\"; } }\n.glyphicon-hd-video               { &:before { content: \"\\e187\"; } }\n.glyphicon-subtitles              { &:before { content: \"\\e188\"; } }\n.glyphicon-sound-stereo           { &:before { content: \"\\e189\"; } }\n.glyphicon-sound-dolby            { &:before { content: \"\\e190\"; } }\n.glyphicon-sound-5-1              { &:before { content: \"\\e191\"; } }\n.glyphicon-sound-6-1              { &:before { content: \"\\e192\"; } }\n.glyphicon-sound-7-1              { &:before { content: \"\\e193\"; } }\n.glyphicon-copyright-mark         { &:before { content: \"\\e194\"; } }\n.glyphicon-registration-mark      { &:before { content: \"\\e195\"; } }\n.glyphicon-cloud-download         { &:before { content: \"\\e197\"; } }\n.glyphicon-cloud-upload           { &:before { content: \"\\e198\"; } }\n.glyphicon-tree-conifer           { &:before { content: \"\\e199\"; } }\n.glyphicon-tree-deciduous         { &:before { content: \"\\e200\"; } }\n.glyphicon-cd                     { &:before { content: \"\\e201\"; } }\n.glyphicon-save-file              { &:before { content: \"\\e202\"; } }\n.glyphicon-open-file              { &:before { content: \"\\e203\"; } }\n.glyphicon-level-up               { &:before { content: \"\\e204\"; } }\n.glyphicon-copy                   { &:before { content: \"\\e205\"; } }\n.glyphicon-paste                  { &:before { content: \"\\e206\"; } }\n// The following 2 Glyphicons are omitted for the time being because\n// they currently use Unicode codepoints that are outside the\n// Basic Multilingual Plane (BMP). Older buggy versions of WebKit can't handle\n// non-BMP codepoints in CSS string escapes, and thus can't display these two icons.\n// Notably, the bug affects some older versions of the Android Browser.\n// More info: https://github.com/twbs/bootstrap/issues/10106\n// .glyphicon-door                   { &:before { content: \"\\1f6aa\"; } }\n// .glyphicon-key                    { &:before { content: \"\\1f511\"; } }\n.glyphicon-alert                  { &:before { content: \"\\e209\"; } }\n.glyphicon-equalizer              { &:before { content: \"\\e210\"; } }\n.glyphicon-king                   { &:before { content: \"\\e211\"; } }\n.glyphicon-queen                  { &:before { content: \"\\e212\"; } }\n.glyphicon-pawn                   { &:before { content: \"\\e213\"; } }\n.glyphicon-bishop                 { &:before { content: \"\\e214\"; } }\n.glyphicon-knight                 { &:before { content: \"\\e215\"; } }\n.glyphicon-baby-formula           { &:before { content: \"\\e216\"; } }\n.glyphicon-tent                   { &:before { content: \"\\26fa\"; } }\n.glyphicon-blackboard             { &:before { content: \"\\e218\"; } }\n.glyphicon-bed                    { &:before { content: \"\\e219\"; } }\n.glyphicon-apple                  { &:before { content: \"\\f8ff\"; } }\n.glyphicon-erase                  { &:before { content: \"\\e221\"; } }\n.glyphicon-hourglass              { &:before { content: \"\\231b\"; } }\n.glyphicon-lamp                   { &:before { content: \"\\e223\"; } }\n.glyphicon-duplicate              { &:before { content: \"\\e224\"; } }\n.glyphicon-piggy-bank             { &:before { content: \"\\e225\"; } }\n.glyphicon-scissors               { &:before { content: \"\\e226\"; } }\n.glyphicon-bitcoin                { &:before { content: \"\\e227\"; } }\n.glyphicon-btc                    { &:before { content: \"\\e227\"; } }\n.glyphicon-xbt                    { &:before { content: \"\\e227\"; } }\n.glyphicon-yen                    { &:before { content: \"\\00a5\"; } }\n.glyphicon-jpy                    { &:before { content: \"\\00a5\"; } }\n.glyphicon-ruble                  { &:before { content: \"\\20bd\"; } }\n.glyphicon-rub                    { &:before { content: \"\\20bd\"; } }\n.glyphicon-scale                  { &:before { content: \"\\e230\"; } }\n.glyphicon-ice-lolly              { &:before { content: \"\\e231\"; } }\n.glyphicon-ice-lolly-tasted       { &:before { content: \"\\e232\"; } }\n.glyphicon-education              { &:before { content: \"\\e233\"; } }\n.glyphicon-option-horizontal      { &:before { content: \"\\e234\"; } }\n.glyphicon-option-vertical        { &:before { content: \"\\e235\"; } }\n.glyphicon-menu-hamburger         { &:before { content: \"\\e236\"; } }\n.glyphicon-modal-window           { &:before { content: \"\\e237\"; } }\n.glyphicon-oil                    { &:before { content: \"\\e238\"; } }\n.glyphicon-grain                  { &:before { content: \"\\e239\"; } }\n.glyphicon-sunglasses             { &:before { content: \"\\e240\"; } }\n.glyphicon-text-size              { &:before { content: \"\\e241\"; } }\n.glyphicon-text-color             { &:before { content: \"\\e242\"; } }\n.glyphicon-text-background        { &:before { content: \"\\e243\"; } }\n.glyphicon-object-align-top       { &:before { content: \"\\e244\"; } }\n.glyphicon-object-align-bottom    { &:before { content: \"\\e245\"; } }\n.glyphicon-object-align-horizontal{ &:before { content: \"\\e246\"; } }\n.glyphicon-object-align-left      { &:before { content: \"\\e247\"; } }\n.glyphicon-object-align-vertical  { &:before { content: \"\\e248\"; } }\n.glyphicon-object-align-right     { &:before { content: \"\\e249\"; } }\n.glyphicon-triangle-right         { &:before { content: \"\\e250\"; } }\n.glyphicon-triangle-left          { &:before { content: \"\\e251\"; } }\n.glyphicon-triangle-bottom        { &:before { content: \"\\e252\"; } }\n.glyphicon-triangle-top           { &:before { content: \"\\e253\"; } }\n.glyphicon-console                { &:before { content: \"\\e254\"; } }\n.glyphicon-superscript            { &:before { content: \"\\e255\"; } }\n.glyphicon-subscript              { &:before { content: \"\\e256\"; } }\n.glyphicon-menu-left              { &:before { content: \"\\e257\"; } }\n.glyphicon-menu-right             { &:before { content: \"\\e258\"; } }\n.glyphicon-menu-down              { &:before { content: \"\\e259\"; } }\n.glyphicon-menu-up                { &:before { content: \"\\e260\"; } }\n","//\n// Scaffolding\n// --------------------------------------------------\n\n\n// Reset the box-sizing\n//\n// Heads up! This reset may cause conflicts with some third-party widgets.\n// For recommendations on resolving such conflicts, see\n// https://getbootstrap.com/docs/3.4/getting-started/#third-box-sizing\n* {\n  .box-sizing(border-box);\n}\n*:before,\n*:after {\n  .box-sizing(border-box);\n}\n\n\n// Body reset\n\nhtml {\n  font-size: 10px;\n  -webkit-tap-highlight-color: rgba(0, 0, 0, 0);\n}\n\nbody {\n  font-family: @font-family-base;\n  font-size: @font-size-base;\n  line-height: @line-height-base;\n  color: @text-color;\n  background-color: @body-bg;\n}\n\n// Reset fonts for relevant elements\ninput,\nbutton,\nselect,\ntextarea {\n  font-family: inherit;\n  font-size: inherit;\n  line-height: inherit;\n}\n\n\n// Links\n\na {\n  color: @link-color;\n  text-decoration: none;\n\n  &:hover,\n  &:focus {\n    color: @link-hover-color;\n    text-decoration: @link-hover-decoration;\n  }\n\n  &:focus {\n    .tab-focus();\n  }\n}\n\n\n// Figures\n//\n// We reset this here because previously Normalize had no `figure` margins. This\n// ensures we don't break anyone's use of the element.\n\nfigure {\n  margin: 0;\n}\n\n\n// Images\n\nimg {\n  vertical-align: middle;\n}\n\n// Responsive images (ensure images don't scale beyond their parents)\n.img-responsive {\n  .img-responsive();\n}\n\n// Rounded corners\n.img-rounded {\n  border-radius: @border-radius-large;\n}\n\n// Image thumbnails\n//\n// Heads up! This is mixin-ed into thumbnails.less for `.thumbnail`.\n.img-thumbnail {\n  padding: @thumbnail-padding;\n  line-height: @line-height-base;\n  background-color: @thumbnail-bg;\n  border: 1px solid @thumbnail-border;\n  border-radius: @thumbnail-border-radius;\n  .transition(all .2s ease-in-out);\n\n  // Keep them at most 100% wide\n  .img-responsive(inline-block);\n}\n\n// Perfect circle\n.img-circle {\n  border-radius: 50%; // set radius in percents\n}\n\n\n// Horizontal rules\n\nhr {\n  margin-top: @line-height-computed;\n  margin-bottom: @line-height-computed;\n  border: 0;\n  border-top: 1px solid @hr-border;\n}\n\n\n// Only display content to screen readers\n//\n// See: https://a11yproject.com/posts/how-to-hide-content\n\n.sr-only {\n  position: absolute;\n  width: 1px;\n  height: 1px;\n  padding: 0;\n  margin: -1px;\n  overflow: hidden;\n  clip: rect(0, 0, 0, 0);\n  border: 0;\n}\n\n// Use in conjunction with .sr-only to only display content when it's focused.\n// Useful for \"Skip to main content\" links; see https://www.w3.org/TR/2013/NOTE-WCAG20-TECHS-20130905/G1\n// Credit: HTML5 Boilerplate\n\n.sr-only-focusable {\n  &:active,\n  &:focus {\n    position: static;\n    width: auto;\n    height: auto;\n    margin: 0;\n    overflow: visible;\n    clip: auto;\n  }\n}\n\n\n// iOS \"clickable elements\" fix for role=\"button\"\n//\n// Fixes \"clickability\" issue (and more generally, the firing of events such as focus as well)\n// for traditionally non-focusable elements with role=\"button\"\n// see https://developer.mozilla.org/en-US/docs/Web/Events/click#Safari_Mobile\n\n[role=\"button\"] {\n  cursor: pointer;\n}\n","// stylelint-disable indentation, property-no-vendor-prefix, selector-no-vendor-prefix\n\n// Vendor Prefixes\n//\n// All vendor mixins are deprecated as of v3.2.0 due to the introduction of\n// Autoprefixer in our Gruntfile. They have been removed in v4.\n\n// - Animations\n// - Backface visibility\n// - Box shadow\n// - Box sizing\n// - Content columns\n// - Hyphens\n// - Placeholder text\n// - Transformations\n// - Transitions\n// - User Select\n\n\n// Animations\n.animation(@animation) {\n  -webkit-animation: @animation;\n       -o-animation: @animation;\n          animation: @animation;\n}\n.animation-name(@name) {\n  -webkit-animation-name: @name;\n          animation-name: @name;\n}\n.animation-duration(@duration) {\n  -webkit-animation-duration: @duration;\n          animation-duration: @duration;\n}\n.animation-timing-function(@timing-function) {\n  -webkit-animation-timing-function: @timing-function;\n          animation-timing-function: @timing-function;\n}\n.animation-delay(@delay) {\n  -webkit-animation-delay: @delay;\n          animation-delay: @delay;\n}\n.animation-iteration-count(@iteration-count) {\n  -webkit-animation-iteration-count: @iteration-count;\n          animation-iteration-count: @iteration-count;\n}\n.animation-direction(@direction) {\n  -webkit-animation-direction: @direction;\n          animation-direction: @direction;\n}\n.animation-fill-mode(@fill-mode) {\n  -webkit-animation-fill-mode: @fill-mode;\n          animation-fill-mode: @fill-mode;\n}\n\n// Backface visibility\n// Prevent browsers from flickering when using CSS 3D transforms.\n// Default value is `visible`, but can be changed to `hidden`\n\n.backface-visibility(@visibility) {\n  -webkit-backface-visibility: @visibility;\n     -moz-backface-visibility: @visibility;\n          backface-visibility: @visibility;\n}\n\n// Drop shadows\n//\n// Note: Deprecated `.box-shadow()` as of v3.1.0 since all of Bootstrap's\n// supported browsers that have box shadow capabilities now support it.\n\n.box-shadow(@shadow) {\n  -webkit-box-shadow: @shadow; // iOS <4.3 & Android <4.1\n          box-shadow: @shadow;\n}\n\n// Box sizing\n.box-sizing(@boxmodel) {\n  -webkit-box-sizing: @boxmodel;\n     -moz-box-sizing: @boxmodel;\n          box-sizing: @boxmodel;\n}\n\n// CSS3 Content Columns\n.content-columns(@column-count; @column-gap: @grid-gutter-width) {\n  -webkit-column-count: @column-count;\n     -moz-column-count: @column-count;\n          column-count: @column-count;\n  -webkit-column-gap: @column-gap;\n     -moz-column-gap: @column-gap;\n          column-gap: @column-gap;\n}\n\n// Optional hyphenation\n.hyphens(@mode: auto) {\n  -webkit-hyphens: @mode;\n     -moz-hyphens: @mode;\n      -ms-hyphens: @mode; // IE10+\n       -o-hyphens: @mode;\n          hyphens: @mode;\n  word-wrap: break-word;\n}\n\n// Placeholder text\n.placeholder(@color: @input-color-placeholder) {\n  // Firefox\n  &::-moz-placeholder {\n    color: @color;\n    opacity: 1; // Override Firefox's unusual default opacity; see https://github.com/twbs/bootstrap/pull/11526\n  }\n  &:-ms-input-placeholder { color: @color; } // Internet Explorer 10+\n  &::-webkit-input-placeholder  { color: @color; } // Safari and Chrome\n}\n\n// Transformations\n.scale(@ratio) {\n  -webkit-transform: scale(@ratio);\n      -ms-transform: scale(@ratio); // IE9 only\n       -o-transform: scale(@ratio);\n          transform: scale(@ratio);\n}\n.scale(@ratioX; @ratioY) {\n  -webkit-transform: scale(@ratioX, @ratioY);\n      -ms-transform: scale(@ratioX, @ratioY); // IE9 only\n       -o-transform: scale(@ratioX, @ratioY);\n          transform: scale(@ratioX, @ratioY);\n}\n.scaleX(@ratio) {\n  -webkit-transform: scaleX(@ratio);\n      -ms-transform: scaleX(@ratio); // IE9 only\n       -o-transform: scaleX(@ratio);\n          transform: scaleX(@ratio);\n}\n.scaleY(@ratio) {\n  -webkit-transform: scaleY(@ratio);\n      -ms-transform: scaleY(@ratio); // IE9 only\n       -o-transform: scaleY(@ratio);\n          transform: scaleY(@ratio);\n}\n.skew(@x; @y) {\n  -webkit-transform: skewX(@x) skewY(@y);\n      -ms-transform: skewX(@x) skewY(@y); // See https://github.com/twbs/bootstrap/issues/4885; IE9+\n       -o-transform: skewX(@x) skewY(@y);\n          transform: skewX(@x) skewY(@y);\n}\n.translate(@x; @y) {\n  -webkit-transform: translate(@x, @y);\n      -ms-transform: translate(@x, @y); // IE9 only\n       -o-transform: translate(@x, @y);\n          transform: translate(@x, @y);\n}\n.translate3d(@x; @y; @z) {\n  -webkit-transform: translate3d(@x, @y, @z);\n          transform: translate3d(@x, @y, @z);\n}\n.rotate(@degrees) {\n  -webkit-transform: rotate(@degrees);\n      -ms-transform: rotate(@degrees); // IE9 only\n       -o-transform: rotate(@degrees);\n          transform: rotate(@degrees);\n}\n.rotateX(@degrees) {\n  -webkit-transform: rotateX(@degrees);\n      -ms-transform: rotateX(@degrees); // IE9 only\n       -o-transform: rotateX(@degrees);\n          transform: rotateX(@degrees);\n}\n.rotateY(@degrees) {\n  -webkit-transform: rotateY(@degrees);\n      -ms-transform: rotateY(@degrees); // IE9 only\n       -o-transform: rotateY(@degrees);\n          transform: rotateY(@degrees);\n}\n.perspective(@perspective) {\n  -webkit-perspective: @perspective;\n     -moz-perspective: @perspective;\n          perspective: @perspective;\n}\n.perspective-origin(@perspective) {\n  -webkit-perspective-origin: @perspective;\n     -moz-perspective-origin: @perspective;\n          perspective-origin: @perspective;\n}\n.transform-origin(@origin) {\n  -webkit-transform-origin: @origin;\n     -moz-transform-origin: @origin;\n      -ms-transform-origin: @origin; // IE9 only\n          transform-origin: @origin;\n}\n\n\n// Transitions\n\n.transition(@transition) {\n  -webkit-transition: @transition;\n       -o-transition: @transition;\n          transition: @transition;\n}\n.transition-property(@transition-property) {\n  -webkit-transition-property: @transition-property;\n          transition-property: @transition-property;\n}\n.transition-delay(@transition-delay) {\n  -webkit-transition-delay: @transition-delay;\n          transition-delay: @transition-delay;\n}\n.transition-duration(@transition-duration) {\n  -webkit-transition-duration: @transition-duration;\n          transition-duration: @transition-duration;\n}\n.transition-timing-function(@timing-function) {\n  -webkit-transition-timing-function: @timing-function;\n          transition-timing-function: @timing-function;\n}\n.transition-transform(@transition) {\n  -webkit-transition: -webkit-transform @transition;\n     -moz-transition: -moz-transform @transition;\n       -o-transition: -o-transform @transition;\n          transition: transform @transition;\n}\n\n\n// User select\n// For selecting text on the page\n\n.user-select(@select) {\n  -webkit-user-select: @select;\n     -moz-user-select: @select;\n      -ms-user-select: @select; // IE10+\n          user-select: @select;\n}\n","// WebKit-style focus\n\n.tab-focus() {\n  // WebKit-specific. Other browsers will keep their default outline style.\n  // (Initially tried to also force default via `outline: initial`,\n  // but that seems to erroneously remove the outline in Firefox altogether.)\n  outline: 5px auto -webkit-focus-ring-color;\n  outline-offset: -2px;\n}\n","// stylelint-disable media-feature-name-no-vendor-prefix, media-feature-parentheses-space-inside, media-feature-name-no-unknown, indentation, at-rule-name-space-after\n\n// Responsive image\n//\n// Keep images from scaling beyond the width of their parents.\n.img-responsive(@display: block) {\n  display: @display;\n  max-width: 100%; // Part 1: Set a maximum relative to the parent\n  height: auto; // Part 2: Scale the height according to the width, otherwise you get stretching\n}\n\n\n// Retina image\n//\n// Short retina mixin for setting background-image and -size. Note that the\n// spelling of `min--moz-device-pixel-ratio` is intentional.\n.img-retina(@file-1x; @file-2x; @width-1x; @height-1x) {\n  background-image: url(\"@{file-1x}\");\n\n  @media\n  only screen and (-webkit-min-device-pixel-ratio: 2),\n  only screen and ( min--moz-device-pixel-ratio: 2),\n  only screen and ( -o-min-device-pixel-ratio: 2/1),\n  only screen and ( min-device-pixel-ratio: 2),\n  only screen and ( min-resolution: 192dpi),\n  only screen and ( min-resolution: 2dppx) {\n    background-image: url(\"@{file-2x}\");\n    background-size: @width-1x @height-1x;\n  }\n}\n","// stylelint-disable selector-list-comma-newline-after, selector-no-qualifying-type\n\n//\n// Typography\n// --------------------------------------------------\n\n\n// Headings\n// -------------------------\n\nh1, h2, h3, h4, h5, h6,\n.h1, .h2, .h3, .h4, .h5, .h6 {\n  font-family: @headings-font-family;\n  font-weight: @headings-font-weight;\n  line-height: @headings-line-height;\n  color: @headings-color;\n\n  small,\n  .small {\n    font-weight: 400;\n    line-height: 1;\n    color: @headings-small-color;\n  }\n}\n\nh1, .h1,\nh2, .h2,\nh3, .h3 {\n  margin-top: @line-height-computed;\n  margin-bottom: (@line-height-computed / 2);\n\n  small,\n  .small {\n    font-size: 65%;\n  }\n}\nh4, .h4,\nh5, .h5,\nh6, .h6 {\n  margin-top: (@line-height-computed / 2);\n  margin-bottom: (@line-height-computed / 2);\n\n  small,\n  .small {\n    font-size: 75%;\n  }\n}\n\nh1, .h1 { font-size: @font-size-h1; }\nh2, .h2 { font-size: @font-size-h2; }\nh3, .h3 { font-size: @font-size-h3; }\nh4, .h4 { font-size: @font-size-h4; }\nh5, .h5 { font-size: @font-size-h5; }\nh6, .h6 { font-size: @font-size-h6; }\n\n\n// Body text\n// -------------------------\n\np {\n  margin: 0 0 (@line-height-computed / 2);\n}\n\n.lead {\n  margin-bottom: @line-height-computed;\n  font-size: floor((@font-size-base * 1.15));\n  font-weight: 300;\n  line-height: 1.4;\n\n  @media (min-width: @screen-sm-min) {\n    font-size: (@font-size-base * 1.5);\n  }\n}\n\n\n// Emphasis & misc\n// -------------------------\n\n// Ex: (12px small font / 14px base font) * 100% = about 85%\nsmall,\n.small {\n  font-size: floor((100% * @font-size-small / @font-size-base));\n}\n\nmark,\n.mark {\n  padding: .2em;\n  background-color: @state-warning-bg;\n}\n\n// Alignment\n.text-left           { text-align: left; }\n.text-right          { text-align: right; }\n.text-center         { text-align: center; }\n.text-justify        { text-align: justify; }\n.text-nowrap         { white-space: nowrap; }\n\n// Transformation\n.text-lowercase      { text-transform: lowercase; }\n.text-uppercase      { text-transform: uppercase; }\n.text-capitalize     { text-transform: capitalize; }\n\n// Contextual colors\n.text-muted {\n  color: @text-muted;\n}\n.text-primary {\n  .text-emphasis-variant(@brand-primary);\n}\n.text-success {\n  .text-emphasis-variant(@state-success-text);\n}\n.text-info {\n  .text-emphasis-variant(@state-info-text);\n}\n.text-warning {\n  .text-emphasis-variant(@state-warning-text);\n}\n.text-danger {\n  .text-emphasis-variant(@state-danger-text);\n}\n\n// Contextual backgrounds\n// For now we'll leave these alongside the text classes until v4 when we can\n// safely shift things around (per SemVer rules).\n.bg-primary {\n  // Given the contrast here, this is the only class to have its color inverted\n  // automatically.\n  color: #fff;\n  .bg-variant(@brand-primary);\n}\n.bg-success {\n  .bg-variant(@state-success-bg);\n}\n.bg-info {\n  .bg-variant(@state-info-bg);\n}\n.bg-warning {\n  .bg-variant(@state-warning-bg);\n}\n.bg-danger {\n  .bg-variant(@state-danger-bg);\n}\n\n\n// Page header\n// -------------------------\n\n.page-header {\n  padding-bottom: ((@line-height-computed / 2) - 1);\n  margin: (@line-height-computed * 2) 0 @line-height-computed;\n  border-bottom: 1px solid @page-header-border-color;\n}\n\n\n// Lists\n// -------------------------\n\n// Unordered and Ordered lists\nul,\nol {\n  margin-top: 0;\n  margin-bottom: (@line-height-computed / 2);\n  ul,\n  ol {\n    margin-bottom: 0;\n  }\n}\n\n// List options\n\n// Unstyled keeps list items block level, just removes default browser padding and list-style\n.list-unstyled {\n  padding-left: 0;\n  list-style: none;\n}\n\n// Inline turns list items into inline-block\n.list-inline {\n  .list-unstyled();\n  margin-left: -5px;\n\n  > li {\n    display: inline-block;\n    padding-right: 5px;\n    padding-left: 5px;\n  }\n}\n\n// Description Lists\ndl {\n  margin-top: 0; // Remove browser default\n  margin-bottom: @line-height-computed;\n}\ndt,\ndd {\n  line-height: @line-height-base;\n}\ndt {\n  font-weight: 700;\n}\ndd {\n  margin-left: 0; // Undo browser default\n}\n\n// Horizontal description lists\n//\n// Defaults to being stacked without any of the below styles applied, until the\n// grid breakpoint is reached (default of ~768px).\n\n.dl-horizontal {\n  dd {\n    &:extend(.clearfix all); // Clear the floated `dt` if an empty `dd` is present\n  }\n\n  @media (min-width: @dl-horizontal-breakpoint) {\n    dt {\n      float: left;\n      width: (@dl-horizontal-offset - 20);\n      clear: left;\n      text-align: right;\n      .text-overflow();\n    }\n    dd {\n      margin-left: @dl-horizontal-offset;\n    }\n  }\n}\n\n\n// Misc\n// -------------------------\n\n// Abbreviations and acronyms\n// Add data-* attribute to help out our tooltip plugin, per https://github.com/twbs/bootstrap/issues/5257\nabbr[title],\nabbr[data-original-title] {\n  cursor: help;\n}\n\n.initialism {\n  font-size: 90%;\n  .text-uppercase();\n}\n\n// Blockquotes\nblockquote {\n  padding: (@line-height-computed / 2) @line-height-computed;\n  margin: 0 0 @line-height-computed;\n  font-size: @blockquote-font-size;\n  border-left: 5px solid @blockquote-border-color;\n\n  p,\n  ul,\n  ol {\n    &:last-child {\n      margin-bottom: 0;\n    }\n  }\n\n  // Note: Deprecated small and .small as of v3.1.0\n  // Context: https://github.com/twbs/bootstrap/issues/11660\n  footer,\n  small,\n  .small {\n    display: block;\n    font-size: 80%; // back to default font-size\n    line-height: @line-height-base;\n    color: @blockquote-small-color;\n\n    &:before {\n      content: \"\\2014 \\00A0\"; // em dash, nbsp\n    }\n  }\n}\n\n// Opposite alignment of blockquote\n//\n// Heads up: `blockquote.pull-right` has been deprecated as of v3.1.0.\n.blockquote-reverse,\nblockquote.pull-right {\n  padding-right: 15px;\n  padding-left: 0;\n  text-align: right;\n  border-right: 5px solid @blockquote-border-color;\n  border-left: 0;\n\n  // Account for citation\n  footer,\n  small,\n  .small {\n    &:before { content: \"\"; }\n    &:after {\n      content: \"\\00A0 \\2014\"; // nbsp, em dash\n    }\n  }\n}\n\n// Addresses\naddress {\n  margin-bottom: @line-height-computed;\n  font-style: normal;\n  line-height: @line-height-base;\n}\n","// Typography\n\n.text-emphasis-variant(@color) {\n  color: @color;\n  a&:hover,\n  a&:focus {\n    color: darken(@color, 10%);\n  }\n}\n","// Contextual backgrounds\n\n.bg-variant(@color) {\n  background-color: @color;\n  a&:hover,\n  a&:focus {\n    background-color: darken(@color, 10%);\n  }\n}\n","// Text overflow\n// Requires inline-block or block for proper styling\n\n.text-overflow() {\n  overflow: hidden;\n  text-overflow: ellipsis;\n  white-space: nowrap;\n}\n","//\n// Code (inline and block)\n// --------------------------------------------------\n\n\n// Inline and block code styles\ncode,\nkbd,\npre,\nsamp {\n  font-family: @font-family-monospace;\n}\n\n// Inline code\ncode {\n  padding: 2px 4px;\n  font-size: 90%;\n  color: @code-color;\n  background-color: @code-bg;\n  border-radius: @border-radius-base;\n}\n\n// User input typically entered via keyboard\nkbd {\n  padding: 2px 4px;\n  font-size: 90%;\n  color: @kbd-color;\n  background-color: @kbd-bg;\n  border-radius: @border-radius-small;\n  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, .25);\n\n  kbd {\n    padding: 0;\n    font-size: 100%;\n    font-weight: 700;\n    box-shadow: none;\n  }\n}\n\n// Blocks of code\npre {\n  display: block;\n  padding: ((@line-height-computed - 1) / 2);\n  margin: 0 0 (@line-height-computed / 2);\n  font-size: (@font-size-base - 1); // 14px to 13px\n  line-height: @line-height-base;\n  color: @pre-color;\n  word-break: break-all;\n  word-wrap: break-word;\n  background-color: @pre-bg;\n  border: 1px solid @pre-border-color;\n  border-radius: @border-radius-base;\n\n  // Account for some code outputs that place code tags in pre tags\n  code {\n    padding: 0;\n    font-size: inherit;\n    color: inherit;\n    white-space: pre-wrap;\n    background-color: transparent;\n    border-radius: 0;\n  }\n}\n\n// Enable scrollable blocks of code\n.pre-scrollable {\n  max-height: @pre-scrollable-max-height;\n  overflow-y: scroll;\n}\n","//\n// Grid system\n// --------------------------------------------------\n\n\n// Container widths\n//\n// Set the container width, and override it for fixed navbars in media queries.\n\n.container {\n  .container-fixed();\n\n  @media (min-width: @screen-sm-min) {\n    width: @container-sm;\n  }\n  @media (min-width: @screen-md-min) {\n    width: @container-md;\n  }\n  @media (min-width: @screen-lg-min) {\n    width: @container-lg;\n  }\n}\n\n\n// Fluid container\n//\n// Utilizes the mixin meant for fixed width containers, but without any defined\n// width for fluid, full width layouts.\n\n.container-fluid {\n  .container-fixed();\n}\n\n\n// Row\n//\n// Rows contain and clear the floats of your columns.\n\n.row {\n  .make-row();\n}\n\n.row-no-gutters {\n  margin-right: 0;\n  margin-left: 0;\n\n  [class*=\"col-\"] {\n    padding-right: 0;\n    padding-left: 0;\n  }\n}\n\n\n// Columns\n//\n// Common styles for small and large grid columns\n\n.make-grid-columns();\n\n\n// Extra small grid\n//\n// Columns, offsets, pushes, and pulls for extra small devices like\n// smartphones.\n\n.make-grid(xs);\n\n\n// Small grid\n//\n// Columns, offsets, pushes, and pulls for the small device range, from phones\n// to tablets.\n\n@media (min-width: @screen-sm-min) {\n  .make-grid(sm);\n}\n\n\n// Medium grid\n//\n// Columns, offsets, pushes, and pulls for the desktop device range.\n\n@media (min-width: @screen-md-min) {\n  .make-grid(md);\n}\n\n\n// Large grid\n//\n// Columns, offsets, pushes, and pulls for the large desktop device range.\n\n@media (min-width: @screen-lg-min) {\n  .make-grid(lg);\n}\n","// Grid system\n//\n// Generate semantic grid columns with these mixins.\n\n// Centered container element\n.container-fixed(@gutter: @grid-gutter-width) {\n  padding-right: ceil((@gutter / 2));\n  padding-left: floor((@gutter / 2));\n  margin-right: auto;\n  margin-left: auto;\n  &:extend(.clearfix all);\n}\n\n// Creates a wrapper for a series of columns\n.make-row(@gutter: @grid-gutter-width) {\n  margin-right: floor((@gutter / -2));\n  margin-left: ceil((@gutter / -2));\n  &:extend(.clearfix all);\n}\n\n// Generate the extra small columns\n.make-xs-column(@columns; @gutter: @grid-gutter-width) {\n  position: relative;\n  float: left;\n  width: percentage((@columns / @grid-columns));\n  min-height: 1px;\n  padding-right: (@gutter / 2);\n  padding-left: (@gutter / 2);\n}\n.make-xs-column-offset(@columns) {\n  margin-left: percentage((@columns / @grid-columns));\n}\n.make-xs-column-push(@columns) {\n  left: percentage((@columns / @grid-columns));\n}\n.make-xs-column-pull(@columns) {\n  right: percentage((@columns / @grid-columns));\n}\n\n// Generate the small columns\n.make-sm-column(@columns; @gutter: @grid-gutter-width) {\n  position: relative;\n  min-height: 1px;\n  padding-right: (@gutter / 2);\n  padding-left: (@gutter / 2);\n\n  @media (min-width: @screen-sm-min) {\n    float: left;\n    width: percentage((@columns / @grid-columns));\n  }\n}\n.make-sm-column-offset(@columns) {\n  @media (min-width: @screen-sm-min) {\n    margin-left: percentage((@columns / @grid-columns));\n  }\n}\n.make-sm-column-push(@columns) {\n  @media (min-width: @screen-sm-min) {\n    left: percentage((@columns / @grid-columns));\n  }\n}\n.make-sm-column-pull(@columns) {\n  @media (min-width: @screen-sm-min) {\n    right: percentage((@columns / @grid-columns));\n  }\n}\n\n// Generate the medium columns\n.make-md-column(@columns; @gutter: @grid-gutter-width) {\n  position: relative;\n  min-height: 1px;\n  padding-right: (@gutter / 2);\n  padding-left: (@gutter / 2);\n\n  @media (min-width: @screen-md-min) {\n    float: left;\n    width: percentage((@columns / @grid-columns));\n  }\n}\n.make-md-column-offset(@columns) {\n  @media (min-width: @screen-md-min) {\n    margin-left: percentage((@columns / @grid-columns));\n  }\n}\n.make-md-column-push(@columns) {\n  @media (min-width: @screen-md-min) {\n    left: percentage((@columns / @grid-columns));\n  }\n}\n.make-md-column-pull(@columns) {\n  @media (min-width: @screen-md-min) {\n    right: percentage((@columns / @grid-columns));\n  }\n}\n\n// Generate the large columns\n.make-lg-column(@columns; @gutter: @grid-gutter-width) {\n  position: relative;\n  min-height: 1px;\n  padding-right: (@gutter / 2);\n  padding-left: (@gutter / 2);\n\n  @media (min-width: @screen-lg-min) {\n    float: left;\n    width: percentage((@columns / @grid-columns));\n  }\n}\n.make-lg-column-offset(@columns) {\n  @media (min-width: @screen-lg-min) {\n    margin-left: percentage((@columns / @grid-columns));\n  }\n}\n.make-lg-column-push(@columns) {\n  @media (min-width: @screen-lg-min) {\n    left: percentage((@columns / @grid-columns));\n  }\n}\n.make-lg-column-pull(@columns) {\n  @media (min-width: @screen-lg-min) {\n    right: percentage((@columns / @grid-columns));\n  }\n}\n","// Framework grid generation\n//\n// Used only by Bootstrap to generate the correct number of grid classes given\n// any value of `@grid-columns`.\n\n.make-grid-columns() {\n  // Common styles for all sizes of grid columns, widths 1-12\n  .col(@index) { // initial\n    @item: ~\".col-xs-@{index}, .col-sm-@{index}, .col-md-@{index}, .col-lg-@{index}\";\n    .col((@index + 1), @item);\n  }\n  .col(@index, @list) when (@index =< @grid-columns) { // general; \"=<\" isn't a typo\n    @item: ~\".col-xs-@{index}, .col-sm-@{index}, .col-md-@{index}, .col-lg-@{index}\";\n    .col((@index + 1), ~\"@{list}, @{item}\");\n  }\n  .col(@index, @list) when (@index > @grid-columns) { // terminal\n    @{list} {\n      position: relative;\n      // Prevent columns from collapsing when empty\n      min-height: 1px;\n      // Inner gutter via padding\n      padding-right: floor((@grid-gutter-width / 2));\n      padding-left: ceil((@grid-gutter-width / 2));\n    }\n  }\n  .col(1); // kickstart it\n}\n\n.float-grid-columns(@class) {\n  .col(@index) { // initial\n    @item: ~\".col-@{class}-@{index}\";\n    .col((@index + 1), @item);\n  }\n  .col(@index, @list) when (@index =< @grid-columns) { // general\n    @item: ~\".col-@{class}-@{index}\";\n    .col((@index + 1), ~\"@{list}, @{item}\");\n  }\n  .col(@index, @list) when (@index > @grid-columns) { // terminal\n    @{list} {\n      float: left;\n    }\n  }\n  .col(1); // kickstart it\n}\n\n.calc-grid-column(@index, @class, @type) when (@type = width) and (@index > 0) {\n  .col-@{class}-@{index} {\n    width: percentage((@index / @grid-columns));\n  }\n}\n.calc-grid-column(@index, @class, @type) when (@type = push) and (@index > 0) {\n  .col-@{class}-push-@{index} {\n    left: percentage((@index / @grid-columns));\n  }\n}\n.calc-grid-column(@index, @class, @type) when (@type = push) and (@index = 0) {\n  .col-@{class}-push-0 {\n    left: auto;\n  }\n}\n.calc-grid-column(@index, @class, @type) when (@type = pull) and (@index > 0) {\n  .col-@{class}-pull-@{index} {\n    right: percentage((@index / @grid-columns));\n  }\n}\n.calc-grid-column(@index, @class, @type) when (@type = pull) and (@index = 0) {\n  .col-@{class}-pull-0 {\n    right: auto;\n  }\n}\n.calc-grid-column(@index, @class, @type) when (@type = offset) {\n  .col-@{class}-offset-@{index} {\n    margin-left: percentage((@index / @grid-columns));\n  }\n}\n\n// Basic looping in LESS\n.loop-grid-columns(@index, @class, @type) when (@index >= 0) {\n  .calc-grid-column(@index, @class, @type);\n  // next iteration\n  .loop-grid-columns((@index - 1), @class, @type);\n}\n\n// Create grid for specific class\n.make-grid(@class) {\n  .float-grid-columns(@class);\n  .loop-grid-columns(@grid-columns, @class, width);\n  .loop-grid-columns(@grid-columns, @class, pull);\n  .loop-grid-columns(@grid-columns, @class, push);\n  .loop-grid-columns(@grid-columns, @class, offset);\n}\n","// stylelint-disable selector-max-type, selector-max-compound-selectors, selector-no-qualifying-type\n\n//\n// Tables\n// --------------------------------------------------\n\n\ntable {\n  background-color: @table-bg;\n\n  // Table cell sizing\n  //\n  // Reset default table behavior\n\n  col[class*=\"col-\"] {\n    position: static; // Prevent border hiding in Firefox and IE9-11 (see https://github.com/twbs/bootstrap/issues/11623)\n    display: table-column;\n    float: none;\n  }\n\n  td,\n  th {\n    &[class*=\"col-\"] {\n      position: static; // Prevent border hiding in Firefox and IE9-11 (see https://github.com/twbs/bootstrap/issues/11623)\n      display: table-cell;\n      float: none;\n    }\n  }\n}\n\ncaption {\n  padding-top: @table-cell-padding;\n  padding-bottom: @table-cell-padding;\n  color: @text-muted;\n  text-align: left;\n}\n\nth {\n  text-align: left;\n}\n\n\n// Baseline styles\n\n.table {\n  width: 100%;\n  max-width: 100%;\n  margin-bottom: @line-height-computed;\n  // Cells\n  > thead,\n  > tbody,\n  > tfoot {\n    > tr {\n      > th,\n      > td {\n        padding: @table-cell-padding;\n        line-height: @line-height-base;\n        vertical-align: top;\n        border-top: 1px solid @table-border-color;\n      }\n    }\n  }\n  // Bottom align for column headings\n  > thead > tr > th {\n    vertical-align: bottom;\n    border-bottom: 2px solid @table-border-color;\n  }\n  // Remove top border from thead by default\n  > caption + thead,\n  > colgroup + thead,\n  > thead:first-child {\n    > tr:first-child {\n      > th,\n      > td {\n        border-top: 0;\n      }\n    }\n  }\n  // Account for multiple tbody instances\n  > tbody + tbody {\n    border-top: 2px solid @table-border-color;\n  }\n\n  // Nesting\n  .table {\n    background-color: @body-bg;\n  }\n}\n\n\n// Condensed table w/ half padding\n\n.table-condensed {\n  > thead,\n  > tbody,\n  > tfoot {\n    > tr {\n      > th,\n      > td {\n        padding: @table-condensed-cell-padding;\n      }\n    }\n  }\n}\n\n\n// Bordered version\n//\n// Add borders all around the table and between all the columns.\n\n.table-bordered {\n  border: 1px solid @table-border-color;\n  > thead,\n  > tbody,\n  > tfoot {\n    > tr {\n      > th,\n      > td {\n        border: 1px solid @table-border-color;\n      }\n    }\n  }\n  > thead > tr {\n    > th,\n    > td {\n      border-bottom-width: 2px;\n    }\n  }\n}\n\n\n// Zebra-striping\n//\n// Default zebra-stripe styles (alternating gray and transparent backgrounds)\n\n.table-striped {\n  > tbody > tr:nth-of-type(odd) {\n    background-color: @table-bg-accent;\n  }\n}\n\n\n// Hover effect\n//\n// Placed here since it has to come after the potential zebra striping\n\n.table-hover {\n  > tbody > tr:hover {\n    background-color: @table-bg-hover;\n  }\n}\n\n\n// Table backgrounds\n//\n// Exact selectors below required to override `.table-striped` and prevent\n// inheritance to nested tables.\n\n// Generate the contextual variants\n.table-row-variant(active; @table-bg-active);\n.table-row-variant(success; @state-success-bg);\n.table-row-variant(info; @state-info-bg);\n.table-row-variant(warning; @state-warning-bg);\n.table-row-variant(danger; @state-danger-bg);\n\n\n// Responsive tables\n//\n// Wrap your tables in `.table-responsive` and we'll make them mobile friendly\n// by enabling horizontal scrolling. Only applies <768px. Everything above that\n// will display normally.\n\n.table-responsive {\n  min-height: .01%; // Workaround for IE9 bug (see https://github.com/twbs/bootstrap/issues/14837)\n  overflow-x: auto;\n\n  @media screen and (max-width: @screen-xs-max) {\n    width: 100%;\n    margin-bottom: (@line-height-computed * .75);\n    overflow-y: hidden;\n    -ms-overflow-style: -ms-autohiding-scrollbar;\n    border: 1px solid @table-border-color;\n\n    // Tighten up spacing\n    > .table {\n      margin-bottom: 0;\n\n      // Ensure the content doesn't wrap\n      > thead,\n      > tbody,\n      > tfoot {\n        > tr {\n          > th,\n          > td {\n            white-space: nowrap;\n          }\n        }\n      }\n    }\n\n    // Special overrides for the bordered tables\n    > .table-bordered {\n      border: 0;\n\n      // Nuke the appropriate borders so that the parent can handle them\n      > thead,\n      > tbody,\n      > tfoot {\n        > tr {\n          > th:first-child,\n          > td:first-child {\n            border-left: 0;\n          }\n          > th:last-child,\n          > td:last-child {\n            border-right: 0;\n          }\n        }\n      }\n\n      // Only nuke the last row's bottom-border in `tbody` and `tfoot` since\n      // chances are there will be only one `tr` in a `thead` and that would\n      // remove the border altogether.\n      > tbody,\n      > tfoot {\n        > tr:last-child {\n          > th,\n          > td {\n            border-bottom: 0;\n          }\n        }\n      }\n\n    }\n  }\n}\n","// Tables\n\n.table-row-variant(@state; @background) {\n  // Exact selectors below required to override `.table-striped` and prevent\n  // inheritance to nested tables.\n  .table > thead > tr,\n  .table > tbody > tr,\n  .table > tfoot > tr {\n    > td.@{state},\n    > th.@{state},\n    &.@{state} > td,\n    &.@{state} > th {\n      background-color: @background;\n    }\n  }\n\n  // Hover states for `.table-hover`\n  // Note: this is not available for cells or rows within `thead` or `tfoot`.\n  .table-hover > tbody > tr {\n    > td.@{state}:hover,\n    > th.@{state}:hover,\n    &.@{state}:hover > td,\n    &:hover > .@{state},\n    &.@{state}:hover > th {\n      background-color: darken(@background, 5%);\n    }\n  }\n}\n","// stylelint-disable selector-no-qualifying-type, property-no-vendor-prefix, media-feature-name-no-vendor-prefix\n\n//\n// Forms\n// --------------------------------------------------\n\n\n// Normalize non-controls\n//\n// Restyle and baseline non-control form elements.\n\nfieldset {\n  // Chrome and Firefox set a `min-width: min-content;` on fieldsets,\n  // so we reset that to ensure it behaves more like a standard block element.\n  // See https://github.com/twbs/bootstrap/issues/12359.\n  min-width: 0;\n  padding: 0;\n  margin: 0;\n  border: 0;\n}\n\nlegend {\n  display: block;\n  width: 100%;\n  padding: 0;\n  margin-bottom: @line-height-computed;\n  font-size: (@font-size-base * 1.5);\n  line-height: inherit;\n  color: @legend-color;\n  border: 0;\n  border-bottom: 1px solid @legend-border-color;\n}\n\nlabel {\n  display: inline-block;\n  max-width: 100%; // Force IE8 to wrap long content (see https://github.com/twbs/bootstrap/issues/13141)\n  margin-bottom: 5px;\n  font-weight: 700;\n}\n\n\n// Normalize form controls\n//\n// While most of our form styles require extra classes, some basic normalization\n// is required to ensure optimum display with or without those classes to better\n// address browser inconsistencies.\n\ninput[type=\"search\"] {\n  // Override content-box in Normalize (* isn't specific enough)\n  .box-sizing(border-box);\n\n  // Search inputs in iOS\n  //\n  // This overrides the extra rounded corners on search inputs in iOS so that our\n  // `.form-control` class can properly style them. Note that this cannot simply\n  // be added to `.form-control` as it's not specific enough. For details, see\n  // https://github.com/twbs/bootstrap/issues/11586.\n  -webkit-appearance: none;\n  appearance: none;\n}\n\n// Position radios and checkboxes better\ninput[type=\"radio\"],\ninput[type=\"checkbox\"] {\n  margin: 4px 0 0;\n  margin-top: 1px \\9; // IE8-9\n  line-height: normal;\n\n  // Apply same disabled cursor tweak as for inputs\n  // Some special care is needed because <label>s don't inherit their parent's `cursor`.\n  //\n  // Note: Neither radios nor checkboxes can be readonly.\n  &[disabled],\n  &.disabled,\n  fieldset[disabled] & {\n    cursor: @cursor-disabled;\n  }\n}\n\ninput[type=\"file\"] {\n  display: block;\n}\n\n// Make range inputs behave like textual form controls\ninput[type=\"range\"] {\n  display: block;\n  width: 100%;\n}\n\n// Make multiple select elements height not fixed\nselect[multiple],\nselect[size] {\n  height: auto;\n}\n\n// Focus for file, radio, and checkbox\ninput[type=\"file\"]:focus,\ninput[type=\"radio\"]:focus,\ninput[type=\"checkbox\"]:focus {\n  .tab-focus();\n}\n\n// Adjust output element\noutput {\n  display: block;\n  padding-top: (@padding-base-vertical + 1);\n  font-size: @font-size-base;\n  line-height: @line-height-base;\n  color: @input-color;\n}\n\n\n// Common form controls\n//\n// Shared size and type resets for form controls. Apply `.form-control` to any\n// of the following form controls:\n//\n// select\n// textarea\n// input[type=\"text\"]\n// input[type=\"password\"]\n// input[type=\"datetime\"]\n// input[type=\"datetime-local\"]\n// input[type=\"date\"]\n// input[type=\"month\"]\n// input[type=\"time\"]\n// input[type=\"week\"]\n// input[type=\"number\"]\n// input[type=\"email\"]\n// input[type=\"url\"]\n// input[type=\"search\"]\n// input[type=\"tel\"]\n// input[type=\"color\"]\n\n.form-control {\n  display: block;\n  width: 100%;\n  height: @input-height-base; // Make inputs at least the height of their button counterpart (base line-height + padding + border)\n  padding: @padding-base-vertical @padding-base-horizontal;\n  font-size: @font-size-base;\n  line-height: @line-height-base;\n  color: @input-color;\n  background-color: @input-bg;\n  background-image: none; // Reset unusual Firefox-on-Android default style; see https://github.com/necolas/normalize.css/issues/214\n  border: 1px solid @input-border;\n  border-radius: @input-border-radius; // Note: This has no effect on <select>s in some browsers, due to the limited stylability of <select>s in CSS.\n  .box-shadow(inset 0 1px 1px rgba(0, 0, 0, .075));\n  .transition(~\"border-color ease-in-out .15s, box-shadow ease-in-out .15s\");\n\n  // Customize the `:focus` state to imitate native WebKit styles.\n  .form-control-focus();\n\n  // Placeholder\n  .placeholder();\n\n  // Unstyle the caret on `<select>`s in IE10+.\n  &::-ms-expand {\n    background-color: transparent;\n    border: 0;\n  }\n\n  // Disabled and read-only inputs\n  //\n  // HTML5 says that controls under a fieldset > legend:first-child won't be\n  // disabled if the fieldset is disabled. Due to implementation difficulty, we\n  // don't honor that edge case; we style them as disabled anyway.\n  &[disabled],\n  &[readonly],\n  fieldset[disabled] & {\n    background-color: @input-bg-disabled;\n    opacity: 1; // iOS fix for unreadable disabled content; see https://github.com/twbs/bootstrap/issues/11655\n  }\n\n  &[disabled],\n  fieldset[disabled] & {\n    cursor: @cursor-disabled;\n  }\n\n  // Reset height for `textarea`s\n  textarea& {\n    height: auto;\n  }\n}\n\n\n// Special styles for iOS temporal inputs\n//\n// In Mobile Safari, setting `display: block` on temporal inputs causes the\n// text within the input to become vertically misaligned. As a workaround, we\n// set a pixel line-height that matches the given height of the input, but only\n// for Safari. See https://bugs.webkit.org/show_bug.cgi?id=139848\n//\n// Note that as of 9.3, iOS doesn't support `week`.\n\n@media screen and (-webkit-min-device-pixel-ratio: 0) {\n  input[type=\"date\"],\n  input[type=\"time\"],\n  input[type=\"datetime-local\"],\n  input[type=\"month\"] {\n    &.form-control {\n      line-height: @input-height-base;\n    }\n\n    &.input-sm,\n    .input-group-sm & {\n      line-height: @input-height-small;\n    }\n\n    &.input-lg,\n    .input-group-lg & {\n      line-height: @input-height-large;\n    }\n  }\n}\n\n\n// Form groups\n//\n// Designed to help with the organization and spacing of vertical forms. For\n// horizontal forms, use the predefined grid classes.\n\n.form-group {\n  margin-bottom: @form-group-margin-bottom;\n}\n\n\n// Checkboxes and radios\n//\n// Indent the labels to position radios/checkboxes as hanging controls.\n\n.radio,\n.checkbox {\n  position: relative;\n  display: block;\n  margin-top: 10px;\n  margin-bottom: 10px;\n\n  // These are used on elements with <label> descendants\n  &.disabled,\n  fieldset[disabled] & {\n    label {\n      cursor: @cursor-disabled;\n    }\n  }\n\n  label {\n    min-height: @line-height-computed; // Ensure the input doesn't jump when there is no text\n    padding-left: 20px;\n    margin-bottom: 0;\n    font-weight: 400;\n    cursor: pointer;\n  }\n}\n.radio input[type=\"radio\"],\n.radio-inline input[type=\"radio\"],\n.checkbox input[type=\"checkbox\"],\n.checkbox-inline input[type=\"checkbox\"] {\n  position: absolute;\n  margin-top: 4px \\9;\n  margin-left: -20px;\n}\n\n.radio + .radio,\n.checkbox + .checkbox {\n  margin-top: -5px; // Move up sibling radios or checkboxes for tighter spacing\n}\n\n// Radios and checkboxes on same line\n.radio-inline,\n.checkbox-inline {\n  position: relative;\n  display: inline-block;\n  padding-left: 20px;\n  margin-bottom: 0;\n  font-weight: 400;\n  vertical-align: middle;\n  cursor: pointer;\n\n  // These are used directly on <label>s\n  &.disabled,\n  fieldset[disabled] & {\n    cursor: @cursor-disabled;\n  }\n}\n.radio-inline + .radio-inline,\n.checkbox-inline + .checkbox-inline {\n  margin-top: 0;\n  margin-left: 10px; // space out consecutive inline controls\n}\n\n\n// Static form control text\n//\n// Apply class to a `p` element to make any string of text align with labels in\n// a horizontal form layout.\n\n.form-control-static {\n  min-height: (@line-height-computed + @font-size-base);\n  // Size it appropriately next to real form controls\n  padding-top: (@padding-base-vertical + 1);\n  padding-bottom: (@padding-base-vertical + 1);\n  // Remove default margin from `p`\n  margin-bottom: 0;\n\n  &.input-lg,\n  &.input-sm {\n    padding-right: 0;\n    padding-left: 0;\n  }\n}\n\n\n// Form control sizing\n//\n// Build on `.form-control` with modifier classes to decrease or increase the\n// height and font-size of form controls.\n//\n// The `.form-group-* form-control` variations are sadly duplicated to avoid the\n// issue documented in https://github.com/twbs/bootstrap/issues/15074.\n\n.input-sm {\n  .input-size(@input-height-small; @padding-small-vertical; @padding-small-horizontal; @font-size-small; @line-height-small; @input-border-radius-small);\n}\n.form-group-sm {\n  .form-control {\n    height: @input-height-small;\n    padding: @padding-small-vertical @padding-small-horizontal;\n    font-size: @font-size-small;\n    line-height: @line-height-small;\n    border-radius: @input-border-radius-small;\n  }\n  select.form-control {\n    height: @input-height-small;\n    line-height: @input-height-small;\n  }\n  textarea.form-control,\n  select[multiple].form-control {\n    height: auto;\n  }\n  .form-control-static {\n    height: @input-height-small;\n    min-height: (@line-height-computed + @font-size-small);\n    padding: (@padding-small-vertical + 1) @padding-small-horizontal;\n    font-size: @font-size-small;\n    line-height: @line-height-small;\n  }\n}\n\n.input-lg {\n  .input-size(@input-height-large; @padding-large-vertical; @padding-large-horizontal; @font-size-large; @line-height-large; @input-border-radius-large);\n}\n.form-group-lg {\n  .form-control {\n    height: @input-height-large;\n    padding: @padding-large-vertical @padding-large-horizontal;\n    font-size: @font-size-large;\n    line-height: @line-height-large;\n    border-radius: @input-border-radius-large;\n  }\n  select.form-control {\n    height: @input-height-large;\n    line-height: @input-height-large;\n  }\n  textarea.form-control,\n  select[multiple].form-control {\n    height: auto;\n  }\n  .form-control-static {\n    height: @input-height-large;\n    min-height: (@line-height-computed + @font-size-large);\n    padding: (@padding-large-vertical + 1) @padding-large-horizontal;\n    font-size: @font-size-large;\n    line-height: @line-height-large;\n  }\n}\n\n\n// Form control feedback states\n//\n// Apply contextual and semantic states to individual form controls.\n\n.has-feedback {\n  // Enable absolute positioning\n  position: relative;\n\n  // Ensure icons don't overlap text\n  .form-control {\n    padding-right: (@input-height-base * 1.25);\n  }\n}\n// Feedback icon (requires .glyphicon classes)\n.form-control-feedback {\n  position: absolute;\n  top: 0;\n  right: 0;\n  z-index: 2; // Ensure icon is above input groups\n  display: block;\n  width: @input-height-base;\n  height: @input-height-base;\n  line-height: @input-height-base;\n  text-align: center;\n  pointer-events: none;\n}\n.input-lg + .form-control-feedback,\n.input-group-lg + .form-control-feedback,\n.form-group-lg .form-control + .form-control-feedback {\n  width: @input-height-large;\n  height: @input-height-large;\n  line-height: @input-height-large;\n}\n.input-sm + .form-control-feedback,\n.input-group-sm + .form-control-feedback,\n.form-group-sm .form-control + .form-control-feedback {\n  width: @input-height-small;\n  height: @input-height-small;\n  line-height: @input-height-small;\n}\n\n// Feedback states\n.has-success {\n  .form-control-validation(@state-success-text; @state-success-text; @state-success-bg);\n}\n.has-warning {\n  .form-control-validation(@state-warning-text; @state-warning-text; @state-warning-bg);\n}\n.has-error {\n  .form-control-validation(@state-danger-text; @state-danger-text; @state-danger-bg);\n}\n\n// Reposition feedback icon if input has visible label above\n.has-feedback label {\n\n  & ~ .form-control-feedback {\n    top: (@line-height-computed + 5); // Height of the `label` and its margin\n  }\n  &.sr-only ~ .form-control-feedback {\n    top: 0;\n  }\n}\n\n\n// Help text\n//\n// Apply to any element you wish to create light text for placement immediately\n// below a form control. Use for general help, formatting, or instructional text.\n\n.help-block {\n  display: block; // account for any element using help-block\n  margin-top: 5px;\n  margin-bottom: 10px;\n  color: lighten(@text-color, 25%); // lighten the text some for contrast\n}\n\n\n// Inline forms\n//\n// Make forms appear inline(-block) by adding the `.form-inline` class. Inline\n// forms begin stacked on extra small (mobile) devices and then go inline when\n// viewports reach <768px.\n//\n// Requires wrapping inputs and labels with `.form-group` for proper display of\n// default HTML form controls and our custom form controls (e.g., input groups).\n//\n// Heads up! This is mixin-ed into `.navbar-form` in navbars.less.\n\n.form-inline {\n\n  // Kick in the inline\n  @media (min-width: @screen-sm-min) {\n    // Inline-block all the things for \"inline\"\n    .form-group {\n      display: inline-block;\n      margin-bottom: 0;\n      vertical-align: middle;\n    }\n\n    // In navbar-form, allow folks to *not* use `.form-group`\n    .form-control {\n      display: inline-block;\n      width: auto; // Prevent labels from stacking above inputs in `.form-group`\n      vertical-align: middle;\n    }\n\n    // Make static controls behave like regular ones\n    .form-control-static {\n      display: inline-block;\n    }\n\n    .input-group {\n      display: inline-table;\n      vertical-align: middle;\n\n      .input-group-addon,\n      .input-group-btn,\n      .form-control {\n        width: auto;\n      }\n    }\n\n    // Input groups need that 100% width though\n    .input-group > .form-control {\n      width: 100%;\n    }\n\n    .control-label {\n      margin-bottom: 0;\n      vertical-align: middle;\n    }\n\n    // Remove default margin on radios/checkboxes that were used for stacking, and\n    // then undo the floating of radios and checkboxes to match.\n    .radio,\n    .checkbox {\n      display: inline-block;\n      margin-top: 0;\n      margin-bottom: 0;\n      vertical-align: middle;\n\n      label {\n        padding-left: 0;\n      }\n    }\n    .radio input[type=\"radio\"],\n    .checkbox input[type=\"checkbox\"] {\n      position: relative;\n      margin-left: 0;\n    }\n\n    // Re-override the feedback icon.\n    .has-feedback .form-control-feedback {\n      top: 0;\n    }\n  }\n}\n\n\n// Horizontal forms\n//\n// Horizontal forms are built on grid classes and allow you to create forms with\n// labels on the left and inputs on the right.\n\n.form-horizontal {\n\n  // Consistent vertical alignment of radios and checkboxes\n  //\n  // Labels also get some reset styles, but that is scoped to a media query below.\n  .radio,\n  .checkbox,\n  .radio-inline,\n  .checkbox-inline {\n    padding-top: (@padding-base-vertical + 1); // Default padding plus a border\n    margin-top: 0;\n    margin-bottom: 0;\n  }\n  // Account for padding we're adding to ensure the alignment and of help text\n  // and other content below items\n  .radio,\n  .checkbox {\n    min-height: (@line-height-computed + (@padding-base-vertical + 1));\n  }\n\n  // Make form groups behave like rows\n  .form-group {\n    .make-row();\n  }\n\n  // Reset spacing and right align labels, but scope to media queries so that\n  // labels on narrow viewports stack the same as a default form example.\n  @media (min-width: @screen-sm-min) {\n    .control-label {\n      padding-top: (@padding-base-vertical + 1); // Default padding plus a border\n      margin-bottom: 0;\n      text-align: right;\n    }\n  }\n\n  // Validation states\n  //\n  // Reposition the icon because it's now within a grid column and columns have\n  // `position: relative;` on them. Also accounts for the grid gutter padding.\n  .has-feedback .form-control-feedback {\n    right: floor((@grid-gutter-width / 2));\n  }\n\n  // Form group sizes\n  //\n  // Quick utility class for applying `.input-lg` and `.input-sm` styles to the\n  // inputs and labels within a `.form-group`.\n  .form-group-lg {\n    @media (min-width: @screen-sm-min) {\n      .control-label {\n        padding-top: (@padding-large-vertical + 1);\n        font-size: @font-size-large;\n      }\n    }\n  }\n  .form-group-sm {\n    @media (min-width: @screen-sm-min) {\n      .control-label {\n        padding-top: (@padding-small-vertical + 1);\n        font-size: @font-size-small;\n      }\n    }\n  }\n}\n","// Form validation states\n//\n// Used in forms.less to generate the form validation CSS for warnings, errors,\n// and successes.\n\n.form-control-validation(@text-color: #555; @border-color: #ccc; @background-color: #f5f5f5) {\n  // Color the label and help text\n  .help-block,\n  .control-label,\n  .radio,\n  .checkbox,\n  .radio-inline,\n  .checkbox-inline,\n  &.radio label,\n  &.checkbox label,\n  &.radio-inline label,\n  &.checkbox-inline label  {\n    color: @text-color;\n  }\n  // Set the border and box shadow on specific inputs to match\n  .form-control {\n    border-color: @border-color;\n    .box-shadow(inset 0 1px 1px rgba(0, 0, 0, .075)); // Redeclare so transitions work\n    &:focus {\n      border-color: darken(@border-color, 10%);\n      @shadow: inset 0 1px 1px rgba(0, 0, 0, .075), 0 0 6px lighten(@border-color, 20%);\n      .box-shadow(@shadow);\n    }\n  }\n  // Set validation states also for addons\n  .input-group-addon {\n    color: @text-color;\n    background-color: @background-color;\n    border-color: @border-color;\n  }\n  // Optional feedback icon\n  .form-control-feedback {\n    color: @text-color;\n  }\n}\n\n\n// Form control focus state\n//\n// Generate a customized focus state and for any input with the specified color,\n// which defaults to the `@input-border-focus` variable.\n//\n// We highly encourage you to not customize the default value, but instead use\n// this to tweak colors on an as-needed basis. This aesthetic change is based on\n// WebKit's default styles, but applicable to a wider range of browsers. Its\n// usability and accessibility should be taken into account with any change.\n//\n// Example usage: change the default blue border and shadow to white for better\n// contrast against a dark gray background.\n.form-control-focus(@color: @input-border-focus) {\n  @color-rgba: rgba(red(@color), green(@color), blue(@color), .6);\n  &:focus {\n    border-color: @color;\n    outline: 0;\n    .box-shadow(~\"inset 0 1px 1px rgba(0, 0, 0, .075), 0 0 8px @{color-rgba}\");\n  }\n}\n\n// Form control sizing\n//\n// Relative text size, padding, and border-radii changes for form controls. For\n// horizontal sizing, wrap controls in the predefined grid classes. `<select>`\n// element gets special love because it's special, and that's a fact!\n.input-size(@input-height; @padding-vertical; @padding-horizontal; @font-size; @line-height; @border-radius) {\n  height: @input-height;\n  padding: @padding-vertical @padding-horizontal;\n  font-size: @font-size;\n  line-height: @line-height;\n  border-radius: @border-radius;\n\n  select& {\n    height: @input-height;\n    line-height: @input-height;\n  }\n\n  textarea&,\n  select[multiple]& {\n    height: auto;\n  }\n}\n","// stylelint-disable selector-no-qualifying-type\n\n//\n// Buttons\n// --------------------------------------------------\n\n\n// Base styles\n// --------------------------------------------------\n\n.btn {\n  display: inline-block;\n  margin-bottom: 0; // For input.btn\n  font-weight: @btn-font-weight;\n  text-align: center;\n  white-space: nowrap;\n  vertical-align: middle;\n  touch-action: manipulation;\n  cursor: pointer;\n  background-image: none; // Reset unusual Firefox-on-Android default style; see https://github.com/necolas/normalize.css/issues/214\n  border: 1px solid transparent;\n  .button-size(@padding-base-vertical; @padding-base-horizontal; @font-size-base; @line-height-base; @btn-border-radius-base);\n  .user-select(none);\n\n  &,\n  &:active,\n  &.active {\n    &:focus,\n    &.focus {\n      .tab-focus();\n    }\n  }\n\n  &:hover,\n  &:focus,\n  &.focus {\n    color: @btn-default-color;\n    text-decoration: none;\n  }\n\n  &:active,\n  &.active {\n    background-image: none;\n    outline: 0;\n    .box-shadow(inset 0 3px 5px rgba(0, 0, 0, .125));\n  }\n\n  &.disabled,\n  &[disabled],\n  fieldset[disabled] & {\n    cursor: @cursor-disabled;\n    .opacity(.65);\n    .box-shadow(none);\n  }\n\n  a& {\n    &.disabled,\n    fieldset[disabled] & {\n      pointer-events: none; // Future-proof disabling of clicks on `<a>` elements\n    }\n  }\n}\n\n\n// Alternate buttons\n// --------------------------------------------------\n\n.btn-default {\n  .button-variant(@btn-default-color; @btn-default-bg; @btn-default-border);\n}\n.btn-primary {\n  .button-variant(@btn-primary-color; @btn-primary-bg; @btn-primary-border);\n}\n// Success appears as green\n.btn-success {\n  .button-variant(@btn-success-color; @btn-success-bg; @btn-success-border);\n}\n// Info appears as blue-green\n.btn-info {\n  .button-variant(@btn-info-color; @btn-info-bg; @btn-info-border);\n}\n// Warning appears as orange\n.btn-warning {\n  .button-variant(@btn-warning-color; @btn-warning-bg; @btn-warning-border);\n}\n// Danger and error appear as red\n.btn-danger {\n  .button-variant(@btn-danger-color; @btn-danger-bg; @btn-danger-border);\n}\n\n\n// Link buttons\n// -------------------------\n\n// Make a button look and behave like a link\n.btn-link {\n  font-weight: 400;\n  color: @link-color;\n  border-radius: 0;\n\n  &,\n  &:active,\n  &.active,\n  &[disabled],\n  fieldset[disabled] & {\n    background-color: transparent;\n    .box-shadow(none);\n  }\n  &,\n  &:hover,\n  &:focus,\n  &:active {\n    border-color: transparent;\n  }\n  &:hover,\n  &:focus {\n    color: @link-hover-color;\n    text-decoration: @link-hover-decoration;\n    background-color: transparent;\n  }\n  &[disabled],\n  fieldset[disabled] & {\n    &:hover,\n    &:focus {\n      color: @btn-link-disabled-color;\n      text-decoration: none;\n    }\n  }\n}\n\n\n// Button Sizes\n// --------------------------------------------------\n\n.btn-lg {\n  // line-height: ensure even-numbered height of button next to large input\n  .button-size(@padding-large-vertical; @padding-large-horizontal; @font-size-large; @line-height-large; @btn-border-radius-large);\n}\n.btn-sm {\n  // line-height: ensure proper height of button next to small input\n  .button-size(@padding-small-vertical; @padding-small-horizontal; @font-size-small; @line-height-small; @btn-border-radius-small);\n}\n.btn-xs {\n  .button-size(@padding-xs-vertical; @padding-xs-horizontal; @font-size-small; @line-height-small; @btn-border-radius-small);\n}\n\n\n// Block button\n// --------------------------------------------------\n\n.btn-block {\n  display: block;\n  width: 100%;\n}\n\n// Vertically space out multiple block buttons\n.btn-block + .btn-block {\n  margin-top: 5px;\n}\n\n// Specificity overrides\ninput[type=\"submit\"],\ninput[type=\"reset\"],\ninput[type=\"button\"] {\n  &.btn-block {\n    width: 100%;\n  }\n}\n","// Button variants\n//\n// Easily pump out default styles, as well as :hover, :focus, :active,\n// and disabled options for all buttons\n\n.button-variant(@color; @background; @border) {\n  color: @color;\n  background-color: @background;\n  border-color: @border;\n\n  &:focus,\n  &.focus {\n    color: @color;\n    background-color: darken(@background, 10%);\n    border-color: darken(@border, 25%);\n  }\n  &:hover {\n    color: @color;\n    background-color: darken(@background, 10%);\n    border-color: darken(@border, 12%);\n  }\n  &:active,\n  &.active,\n  .open > .dropdown-toggle& {\n    color: @color;\n    background-color: darken(@background, 10%);\n    background-image: none;\n    border-color: darken(@border, 12%);\n\n    &:hover,\n    &:focus,\n    &.focus {\n      color: @color;\n      background-color: darken(@background, 17%);\n      border-color: darken(@border, 25%);\n    }\n  }\n  &.disabled,\n  &[disabled],\n  fieldset[disabled] & {\n    &:hover,\n    &:focus,\n    &.focus {\n      background-color: @background;\n      border-color: @border;\n    }\n  }\n\n  .badge {\n    color: @background;\n    background-color: @color;\n  }\n}\n\n// Button sizes\n.button-size(@padding-vertical; @padding-horizontal; @font-size; @line-height; @border-radius) {\n  padding: @padding-vertical @padding-horizontal;\n  font-size: @font-size;\n  line-height: @line-height;\n  border-radius: @border-radius;\n}\n","// Opacity\n\n.opacity(@opacity) {\n  @opacity-ie: (@opacity * 100);  // IE8 filter\n  filter: ~\"alpha(opacity=@{opacity-ie})\";\n  opacity: @opacity;\n}\n","// stylelint-disable selector-no-qualifying-type\n\n//\n// Component animations\n// --------------------------------------------------\n\n// Heads up!\n//\n// We don't use the `.opacity()` mixin here since it causes a bug with text\n// fields in IE7-8. Source: https://github.com/twbs/bootstrap/pull/3552.\n\n.fade {\n  opacity: 0;\n  .transition(opacity .15s linear);\n\n  &.in {\n    opacity: 1;\n  }\n}\n\n.collapse {\n  display: none;\n\n  &.in      { display: block; }\n  tr&.in    { display: table-row; }\n  tbody&.in { display: table-row-group; }\n}\n\n.collapsing {\n  position: relative;\n  height: 0;\n  overflow: hidden;\n  .transition-property(~\"height, visibility\");\n  .transition-duration(.35s);\n  .transition-timing-function(ease);\n}\n","//\n// Dropdown menus\n// --------------------------------------------------\n\n\n// Dropdown arrow/caret\n.caret {\n  display: inline-block;\n  width: 0;\n  height: 0;\n  margin-left: 2px;\n  vertical-align: middle;\n  border-top: @caret-width-base dashed;\n  border-top: @caret-width-base solid ~\"\\9\"; // IE8\n  border-right: @caret-width-base solid transparent;\n  border-left: @caret-width-base solid transparent;\n}\n\n// The dropdown wrapper (div)\n.dropup,\n.dropdown {\n  position: relative;\n}\n\n// Prevent the focus on the dropdown toggle when closing dropdowns\n.dropdown-toggle:focus {\n  outline: 0;\n}\n\n// The dropdown menu (ul)\n.dropdown-menu {\n  position: absolute;\n  top: 100%;\n  left: 0;\n  z-index: @zindex-dropdown;\n  display: none; // none by default, but block on \"open\" of the menu\n  float: left;\n  min-width: 160px;\n  padding: 5px 0;\n  margin: 2px 0 0; // override default ul\n  font-size: @font-size-base;\n  text-align: left; // Ensures proper alignment if parent has it changed (e.g., modal footer)\n  list-style: none;\n  background-color: @dropdown-bg;\n  background-clip: padding-box;\n  border: 1px solid @dropdown-fallback-border; // IE8 fallback\n  border: 1px solid @dropdown-border;\n  border-radius: @border-radius-base;\n  .box-shadow(0 6px 12px rgba(0, 0, 0, .175));\n\n  // Aligns the dropdown menu to right\n  //\n  // Deprecated as of 3.1.0 in favor of `.dropdown-menu-[dir]`\n  &.pull-right {\n    right: 0;\n    left: auto;\n  }\n\n  // Dividers (basically an hr) within the dropdown\n  .divider {\n    .nav-divider(@dropdown-divider-bg);\n  }\n\n  // Links within the dropdown menu\n  > li > a {\n    display: block;\n    padding: 3px 20px;\n    clear: both;\n    font-weight: 400;\n    line-height: @line-height-base;\n    color: @dropdown-link-color;\n    white-space: nowrap; // prevent links from randomly breaking onto new lines\n\n    &:hover,\n    &:focus {\n      color: @dropdown-link-hover-color;\n      text-decoration: none;\n      background-color: @dropdown-link-hover-bg;\n    }\n  }\n}\n\n// Active state\n.dropdown-menu > .active > a {\n  &,\n  &:hover,\n  &:focus {\n    color: @dropdown-link-active-color;\n    text-decoration: none;\n    background-color: @dropdown-link-active-bg;\n    outline: 0;\n  }\n}\n\n// Disabled state\n//\n// Gray out text and ensure the hover/focus state remains gray\n\n.dropdown-menu > .disabled > a {\n  &,\n  &:hover,\n  &:focus {\n    color: @dropdown-link-disabled-color;\n  }\n\n  // Nuke hover/focus effects\n  &:hover,\n  &:focus {\n    text-decoration: none;\n    cursor: @cursor-disabled;\n    background-color: transparent;\n    background-image: none; // Remove CSS gradient\n    .reset-filter();\n  }\n}\n\n// Open state for the dropdown\n.open {\n  // Show the menu\n  > .dropdown-menu {\n    display: block;\n  }\n\n  // Remove the outline when :focus is triggered\n  > a {\n    outline: 0;\n  }\n}\n\n// Menu positioning\n//\n// Add extra class to `.dropdown-menu` to flip the alignment of the dropdown\n// menu with the parent.\n.dropdown-menu-right {\n  right: 0;\n  left: auto; // Reset the default from `.dropdown-menu`\n}\n// With v3, we enabled auto-flipping if you have a dropdown within a right\n// aligned nav component. To enable the undoing of that, we provide an override\n// to restore the default dropdown menu alignment.\n//\n// This is only for left-aligning a dropdown menu within a `.navbar-right` or\n// `.pull-right` nav component.\n.dropdown-menu-left {\n  right: auto;\n  left: 0;\n}\n\n// Dropdown section headers\n.dropdown-header {\n  display: block;\n  padding: 3px 20px;\n  font-size: @font-size-small;\n  line-height: @line-height-base;\n  color: @dropdown-header-color;\n  white-space: nowrap; // as with > li > a\n}\n\n// Backdrop to catch body clicks on mobile, etc.\n.dropdown-backdrop {\n  position: fixed;\n  top: 0;\n  right: 0;\n  bottom: 0;\n  left: 0;\n  z-index: (@zindex-dropdown - 10);\n}\n\n// Right aligned dropdowns\n.pull-right > .dropdown-menu {\n  right: 0;\n  left: auto;\n}\n\n// Allow for dropdowns to go bottom up (aka, dropup-menu)\n//\n// Just add .dropup after the standard .dropdown class and you're set, bro.\n// TODO: abstract this so that the navbar fixed styles are not placed here?\n\n.dropup,\n.navbar-fixed-bottom .dropdown {\n  // Reverse the caret\n  .caret {\n    content: \"\";\n    border-top: 0;\n    border-bottom: @caret-width-base dashed;\n    border-bottom: @caret-width-base solid ~\"\\9\"; // IE8\n  }\n  // Different positioning for bottom up menu\n  .dropdown-menu {\n    top: auto;\n    bottom: 100%;\n    margin-bottom: 2px;\n  }\n}\n\n\n// Component alignment\n//\n// Reiterate per navbar.less and the modified component alignment there.\n\n@media (min-width: @grid-float-breakpoint) {\n  .navbar-right {\n    .dropdown-menu {\n      .dropdown-menu-right();\n    }\n    // Necessary for overrides of the default right aligned menu.\n    // Will remove come v4 in all likelihood.\n    .dropdown-menu-left {\n      .dropdown-menu-left();\n    }\n  }\n}\n","// Horizontal dividers\n//\n// Dividers (basically an hr) within dropdowns and nav lists\n\n.nav-divider(@color: #e5e5e5) {\n  height: 1px;\n  margin: ((@line-height-computed / 2) - 1) 0;\n  overflow: hidden;\n  background-color: @color;\n}\n","// Reset filters for IE\n//\n// When you need to remove a gradient background, do not forget to use this to reset\n// the IE filter for IE9 and below.\n\n.reset-filter() {\n  filter: e(%(\"progid:DXImageTransform.Microsoft.gradient(enabled = false)\"));\n}\n","// stylelint-disable selector-no-qualifying-type */\n\n//\n// Button groups\n// --------------------------------------------------\n\n// Make the div behave like a button\n.btn-group,\n.btn-group-vertical {\n  position: relative;\n  display: inline-block;\n  vertical-align: middle; // match .btn alignment given font-size hack above\n  > .btn {\n    position: relative;\n    float: left;\n    // Bring the \"active\" button to the front\n    &:hover,\n    &:focus,\n    &:active,\n    &.active {\n      z-index: 2;\n    }\n  }\n}\n\n// Prevent double borders when buttons are next to each other\n.btn-group {\n  .btn + .btn,\n  .btn + .btn-group,\n  .btn-group + .btn,\n  .btn-group + .btn-group {\n    margin-left: -1px;\n  }\n}\n\n// Optional: Group multiple button groups together for a toolbar\n.btn-toolbar {\n  margin-left: -5px; // Offset the first child's margin\n  &:extend(.clearfix all);\n\n  .btn,\n  .btn-group,\n  .input-group {\n    float: left;\n  }\n  > .btn,\n  > .btn-group,\n  > .input-group {\n    margin-left: 5px;\n  }\n}\n\n.btn-group > .btn:not(:first-child):not(:last-child):not(.dropdown-toggle) {\n  border-radius: 0;\n}\n\n// Set corners individual because sometimes a single button can be in a .btn-group and we need :first-child and :last-child to both match\n.btn-group > .btn:first-child {\n  margin-left: 0;\n  &:not(:last-child):not(.dropdown-toggle) {\n    .border-right-radius(0);\n  }\n}\n// Need .dropdown-toggle since :last-child doesn't apply, given that a .dropdown-menu is used immediately after it\n.btn-group > .btn:last-child:not(:first-child),\n.btn-group > .dropdown-toggle:not(:first-child) {\n  .border-left-radius(0);\n}\n\n// Custom edits for including btn-groups within btn-groups (useful for including dropdown buttons within a btn-group)\n.btn-group > .btn-group {\n  float: left;\n}\n.btn-group > .btn-group:not(:first-child):not(:last-child) > .btn {\n  border-radius: 0;\n}\n.btn-group > .btn-group:first-child:not(:last-child) {\n  > .btn:last-child,\n  > .dropdown-toggle {\n    .border-right-radius(0);\n  }\n}\n.btn-group > .btn-group:last-child:not(:first-child) > .btn:first-child {\n  .border-left-radius(0);\n}\n\n// On active and open, don't show outline\n.btn-group .dropdown-toggle:active,\n.btn-group.open .dropdown-toggle {\n  outline: 0;\n}\n\n\n// Sizing\n//\n// Remix the default button sizing classes into new ones for easier manipulation.\n\n.btn-group-xs > .btn { &:extend(.btn-xs); }\n.btn-group-sm > .btn { &:extend(.btn-sm); }\n.btn-group-lg > .btn { &:extend(.btn-lg); }\n\n\n// Split button dropdowns\n// ----------------------\n\n// Give the line between buttons some depth\n.btn-group > .btn + .dropdown-toggle {\n  padding-right: 8px;\n  padding-left: 8px;\n}\n.btn-group > .btn-lg + .dropdown-toggle {\n  padding-right: 12px;\n  padding-left: 12px;\n}\n\n// The clickable button for toggling the menu\n// Remove the gradient and set the same inset shadow as the :active state\n.btn-group.open .dropdown-toggle {\n  .box-shadow(inset 0 3px 5px rgba(0, 0, 0, .125));\n\n  // Show no shadow for `.btn-link` since it has no other button styles.\n  &.btn-link {\n    .box-shadow(none);\n  }\n}\n\n\n// Reposition the caret\n.btn .caret {\n  margin-left: 0;\n}\n// Carets in other button sizes\n.btn-lg .caret {\n  border-width: @caret-width-large @caret-width-large 0;\n  border-bottom-width: 0;\n}\n// Upside down carets for .dropup\n.dropup .btn-lg .caret {\n  border-width: 0 @caret-width-large @caret-width-large;\n}\n\n\n// Vertical button groups\n// ----------------------\n\n.btn-group-vertical {\n  > .btn,\n  > .btn-group,\n  > .btn-group > .btn {\n    display: block;\n    float: none;\n    width: 100%;\n    max-width: 100%;\n  }\n\n  // Clear floats so dropdown menus can be properly placed\n  > .btn-group {\n    &:extend(.clearfix all);\n    > .btn {\n      float: none;\n    }\n  }\n\n  > .btn + .btn,\n  > .btn + .btn-group,\n  > .btn-group + .btn,\n  > .btn-group + .btn-group {\n    margin-top: -1px;\n    margin-left: 0;\n  }\n}\n\n.btn-group-vertical > .btn {\n  &:not(:first-child):not(:last-child) {\n    border-radius: 0;\n  }\n  &:first-child:not(:last-child) {\n    .border-top-radius(@btn-border-radius-base);\n    .border-bottom-radius(0);\n  }\n  &:last-child:not(:first-child) {\n    .border-top-radius(0);\n    .border-bottom-radius(@btn-border-radius-base);\n  }\n}\n.btn-group-vertical > .btn-group:not(:first-child):not(:last-child) > .btn {\n  border-radius: 0;\n}\n.btn-group-vertical > .btn-group:first-child:not(:last-child) {\n  > .btn:last-child,\n  > .dropdown-toggle {\n    .border-bottom-radius(0);\n  }\n}\n.btn-group-vertical > .btn-group:last-child:not(:first-child) > .btn:first-child {\n  .border-top-radius(0);\n}\n\n\n// Justified button groups\n// ----------------------\n\n.btn-group-justified {\n  display: table;\n  width: 100%;\n  table-layout: fixed;\n  border-collapse: separate;\n  > .btn,\n  > .btn-group {\n    display: table-cell;\n    float: none;\n    width: 1%;\n  }\n  > .btn-group .btn {\n    width: 100%;\n  }\n\n  > .btn-group .dropdown-menu {\n    left: auto;\n  }\n}\n\n\n// Checkbox and radio options\n//\n// In order to support the browser's form validation feedback, powered by the\n// `required` attribute, we have to \"hide\" the inputs via `clip`. We cannot use\n// `display: none;` or `visibility: hidden;` as that also hides the popover.\n// Simply visually hiding the inputs via `opacity` would leave them clickable in\n// certain cases which is prevented by using `clip` and `pointer-events`.\n// This way, we ensure a DOM element is visible to position the popover from.\n//\n// See https://github.com/twbs/bootstrap/pull/12794 and\n// https://github.com/twbs/bootstrap/pull/14559 for more information.\n\n[data-toggle=\"buttons\"] {\n  > .btn,\n  > .btn-group > .btn {\n    input[type=\"radio\"],\n    input[type=\"checkbox\"] {\n      position: absolute;\n      clip: rect(0, 0, 0, 0);\n      pointer-events: none;\n    }\n  }\n}\n","// Single side border-radius\n\n.border-top-radius(@radius) {\n  border-top-left-radius: @radius;\n  border-top-right-radius: @radius;\n}\n.border-right-radius(@radius) {\n  border-top-right-radius: @radius;\n  border-bottom-right-radius: @radius;\n}\n.border-bottom-radius(@radius) {\n  border-bottom-right-radius: @radius;\n  border-bottom-left-radius: @radius;\n}\n.border-left-radius(@radius) {\n  border-top-left-radius: @radius;\n  border-bottom-left-radius: @radius;\n}\n","// stylelint-disable selector-no-qualifying-type\n\n//\n// Input groups\n// --------------------------------------------------\n\n// Base styles\n// -------------------------\n.input-group {\n  position: relative; // For dropdowns\n  display: table;\n  border-collapse: separate; // prevent input groups from inheriting border styles from table cells when placed within a table\n\n  // Undo padding and float of grid classes\n  &[class*=\"col-\"] {\n    float: none;\n    padding-right: 0;\n    padding-left: 0;\n  }\n\n  .form-control {\n    // Ensure that the input is always above the *appended* addon button for\n    // proper border colors.\n    position: relative;\n    z-index: 2;\n\n    // IE9 fubars the placeholder attribute in text inputs and the arrows on\n    // select elements in input groups. To fix it, we float the input. Details:\n    // https://github.com/twbs/bootstrap/issues/11561#issuecomment-28936855\n    float: left;\n\n    width: 100%;\n    margin-bottom: 0;\n\n    &:focus {\n      z-index: 3;\n    }\n  }\n}\n\n// Sizing options\n//\n// Remix the default form control sizing classes into new ones for easier\n// manipulation.\n\n.input-group-lg > .form-control,\n.input-group-lg > .input-group-addon,\n.input-group-lg > .input-group-btn > .btn {\n  .input-lg();\n}\n.input-group-sm > .form-control,\n.input-group-sm > .input-group-addon,\n.input-group-sm > .input-group-btn > .btn {\n  .input-sm();\n}\n\n\n// Display as table-cell\n// -------------------------\n.input-group-addon,\n.input-group-btn,\n.input-group .form-control {\n  display: table-cell;\n\n  &:not(:first-child):not(:last-child) {\n    border-radius: 0;\n  }\n}\n// Addon and addon wrapper for buttons\n.input-group-addon,\n.input-group-btn {\n  width: 1%;\n  white-space: nowrap;\n  vertical-align: middle; // Match the inputs\n}\n\n// Text input groups\n// -------------------------\n.input-group-addon {\n  padding: @padding-base-vertical @padding-base-horizontal;\n  font-size: @font-size-base;\n  font-weight: 400;\n  line-height: 1;\n  color: @input-color;\n  text-align: center;\n  background-color: @input-group-addon-bg;\n  border: 1px solid @input-group-addon-border-color;\n  border-radius: @input-border-radius;\n\n  // Sizing\n  &.input-sm {\n    padding: @padding-small-vertical @padding-small-horizontal;\n    font-size: @font-size-small;\n    border-radius: @input-border-radius-small;\n  }\n  &.input-lg {\n    padding: @padding-large-vertical @padding-large-horizontal;\n    font-size: @font-size-large;\n    border-radius: @input-border-radius-large;\n  }\n\n  // Nuke default margins from checkboxes and radios to vertically center within.\n  input[type=\"radio\"],\n  input[type=\"checkbox\"] {\n    margin-top: 0;\n  }\n}\n\n// Reset rounded corners\n.input-group .form-control:first-child,\n.input-group-addon:first-child,\n.input-group-btn:first-child > .btn,\n.input-group-btn:first-child > .btn-group > .btn,\n.input-group-btn:first-child > .dropdown-toggle,\n.input-group-btn:last-child > .btn:not(:last-child):not(.dropdown-toggle),\n.input-group-btn:last-child > .btn-group:not(:last-child) > .btn {\n  .border-right-radius(0);\n}\n.input-group-addon:first-child {\n  border-right: 0;\n}\n.input-group .form-control:last-child,\n.input-group-addon:last-child,\n.input-group-btn:last-child > .btn,\n.input-group-btn:last-child > .btn-group > .btn,\n.input-group-btn:last-child > .dropdown-toggle,\n.input-group-btn:first-child > .btn:not(:first-child),\n.input-group-btn:first-child > .btn-group:not(:first-child) > .btn {\n  .border-left-radius(0);\n}\n.input-group-addon:last-child {\n  border-left: 0;\n}\n\n// Button input groups\n// -------------------------\n.input-group-btn {\n  position: relative;\n  // Jankily prevent input button groups from wrapping with `white-space` and\n  // `font-size` in combination with `inline-block` on buttons.\n  font-size: 0;\n  white-space: nowrap;\n\n  // Negative margin for spacing, position for bringing hovered/focused/actived\n  // element above the siblings.\n  > .btn {\n    position: relative;\n    + .btn {\n      margin-left: -1px;\n    }\n    // Bring the \"active\" button to the front\n    &:hover,\n    &:focus,\n    &:active {\n      z-index: 2;\n    }\n  }\n\n  // Negative margin to only have a 1px border between the two\n  &:first-child {\n    > .btn,\n    > .btn-group {\n      margin-right: -1px;\n    }\n  }\n  &:last-child {\n    > .btn,\n    > .btn-group {\n      z-index: 2;\n      margin-left: -1px;\n    }\n  }\n}\n","// stylelint-disable selector-no-qualifying-type, selector-max-type\n\n//\n// Navs\n// --------------------------------------------------\n\n\n// Base class\n// --------------------------------------------------\n\n.nav {\n  padding-left: 0; // Override default ul/ol\n  margin-bottom: 0;\n  list-style: none;\n  &:extend(.clearfix all);\n\n  > li {\n    position: relative;\n    display: block;\n\n    > a {\n      position: relative;\n      display: block;\n      padding: @nav-link-padding;\n      &:hover,\n      &:focus {\n        text-decoration: none;\n        background-color: @nav-link-hover-bg;\n      }\n    }\n\n    // Disabled state sets text to gray and nukes hover/tab effects\n    &.disabled > a {\n      color: @nav-disabled-link-color;\n\n      &:hover,\n      &:focus {\n        color: @nav-disabled-link-hover-color;\n        text-decoration: none;\n        cursor: @cursor-disabled;\n        background-color: transparent;\n      }\n    }\n  }\n\n  // Open dropdowns\n  .open > a {\n    &,\n    &:hover,\n    &:focus {\n      background-color: @nav-link-hover-bg;\n      border-color: @link-color;\n    }\n  }\n\n  // Nav dividers (deprecated with v3.0.1)\n  //\n  // This should have been removed in v3 with the dropping of `.nav-list`, but\n  // we missed it. We don't currently support this anywhere, but in the interest\n  // of maintaining backward compatibility in case you use it, it's deprecated.\n  .nav-divider {\n    .nav-divider();\n  }\n\n  // Prevent IE8 from misplacing imgs\n  //\n  // See https://github.com/h5bp/html5-boilerplate/issues/984#issuecomment-3985989\n  > li > a > img {\n    max-width: none;\n  }\n}\n\n\n// Tabs\n// -------------------------\n\n// Give the tabs something to sit on\n.nav-tabs {\n  border-bottom: 1px solid @nav-tabs-border-color;\n  > li {\n    float: left;\n    // Make the list-items overlay the bottom border\n    margin-bottom: -1px;\n\n    // Actual tabs (as links)\n    > a {\n      margin-right: 2px;\n      line-height: @line-height-base;\n      border: 1px solid transparent;\n      border-radius: @border-radius-base @border-radius-base 0 0;\n      &:hover {\n        border-color: @nav-tabs-link-hover-border-color @nav-tabs-link-hover-border-color @nav-tabs-border-color;\n      }\n    }\n\n    // Active state, and its :hover to override normal :hover\n    &.active > a {\n      &,\n      &:hover,\n      &:focus {\n        color: @nav-tabs-active-link-hover-color;\n        cursor: default;\n        background-color: @nav-tabs-active-link-hover-bg;\n        border: 1px solid @nav-tabs-active-link-hover-border-color;\n        border-bottom-color: transparent;\n      }\n    }\n  }\n  // pulling this in mainly for less shorthand\n  &.nav-justified {\n    .nav-justified();\n    .nav-tabs-justified();\n  }\n}\n\n\n// Pills\n// -------------------------\n.nav-pills {\n  > li {\n    float: left;\n\n    // Links rendered as pills\n    > a {\n      border-radius: @nav-pills-border-radius;\n    }\n    + li {\n      margin-left: 2px;\n    }\n\n    // Active state\n    &.active > a {\n      &,\n      &:hover,\n      &:focus {\n        color: @nav-pills-active-link-hover-color;\n        background-color: @nav-pills-active-link-hover-bg;\n      }\n    }\n  }\n}\n\n\n// Stacked pills\n.nav-stacked {\n  > li {\n    float: none;\n    + li {\n      margin-top: 2px;\n      margin-left: 0; // no need for this gap between nav items\n    }\n  }\n}\n\n\n// Nav variations\n// --------------------------------------------------\n\n// Justified nav links\n// -------------------------\n\n.nav-justified {\n  width: 100%;\n\n  > li {\n    float: none;\n    > a {\n      margin-bottom: 5px;\n      text-align: center;\n    }\n  }\n\n  > .dropdown .dropdown-menu {\n    top: auto;\n    left: auto;\n  }\n\n  @media (min-width: @screen-sm-min) {\n    > li {\n      display: table-cell;\n      width: 1%;\n      > a {\n        margin-bottom: 0;\n      }\n    }\n  }\n}\n\n// Move borders to anchors instead of bottom of list\n//\n// Mixin for adding on top the shared `.nav-justified` styles for our tabs\n.nav-tabs-justified {\n  border-bottom: 0;\n\n  > li > a {\n    // Override margin from .nav-tabs\n    margin-right: 0;\n    border-radius: @border-radius-base;\n  }\n\n  > .active > a,\n  > .active > a:hover,\n  > .active > a:focus {\n    border: 1px solid @nav-tabs-justified-link-border-color;\n  }\n\n  @media (min-width: @screen-sm-min) {\n    > li > a {\n      border-bottom: 1px solid @nav-tabs-justified-link-border-color;\n      border-radius: @border-radius-base @border-radius-base 0 0;\n    }\n    > .active > a,\n    > .active > a:hover,\n    > .active > a:focus {\n      border-bottom-color: @nav-tabs-justified-active-link-border-color;\n    }\n  }\n}\n\n\n// Tabbable tabs\n// -------------------------\n\n// Hide tabbable panes to start, show them when `.active`\n.tab-content {\n  > .tab-pane {\n    display: none;\n  }\n  > .active {\n    display: block;\n  }\n}\n\n\n// Dropdowns\n// -------------------------\n\n// Specific dropdowns\n.nav-tabs .dropdown-menu {\n  // make dropdown border overlap tab border\n  margin-top: -1px;\n  // Remove the top rounded corners here since there is a hard edge above the menu\n  .border-top-radius(0);\n}\n","// stylelint-disable selector-max-type, selector-max-compound-selectors, selector-max-combinators, selector-max-class, declaration-no-important, selector-no-qualifying-type\n\n//\n// Navbars\n// --------------------------------------------------\n\n\n// Wrapper and base class\n//\n// Provide a static navbar from which we expand to create full-width, fixed, and\n// other navbar variations.\n\n.navbar {\n  position: relative;\n  min-height: @navbar-height; // Ensure a navbar always shows (e.g., without a .navbar-brand in collapsed mode)\n  margin-bottom: @navbar-margin-bottom;\n  border: 1px solid transparent;\n\n  // Prevent floats from breaking the navbar\n  &:extend(.clearfix all);\n\n  @media (min-width: @grid-float-breakpoint) {\n    border-radius: @navbar-border-radius;\n  }\n}\n\n\n// Navbar heading\n//\n// Groups `.navbar-brand` and `.navbar-toggle` into a single component for easy\n// styling of responsive aspects.\n\n.navbar-header {\n  &:extend(.clearfix all);\n\n  @media (min-width: @grid-float-breakpoint) {\n    float: left;\n  }\n}\n\n\n// Navbar collapse (body)\n//\n// Group your navbar content into this for easy collapsing and expanding across\n// various device sizes. By default, this content is collapsed when <768px, but\n// will expand past that for a horizontal display.\n//\n// To start (on mobile devices) the navbar links, forms, and buttons are stacked\n// vertically and include a `max-height` to overflow in case you have too much\n// content for the user's viewport.\n\n.navbar-collapse {\n  padding-right: @navbar-padding-horizontal;\n  padding-left: @navbar-padding-horizontal;\n  overflow-x: visible;\n  border-top: 1px solid transparent;\n  box-shadow: inset 0 1px 0 rgba(255, 255, 255, .1);\n  &:extend(.clearfix all);\n  -webkit-overflow-scrolling: touch;\n\n  &.in {\n    overflow-y: auto;\n  }\n\n  @media (min-width: @grid-float-breakpoint) {\n    width: auto;\n    border-top: 0;\n    box-shadow: none;\n\n    &.collapse {\n      display: block !important;\n      height: auto !important;\n      padding-bottom: 0; // Override default setting\n      overflow: visible !important;\n    }\n\n    &.in {\n      overflow-y: visible;\n    }\n\n    // Undo the collapse side padding for navbars with containers to ensure\n    // alignment of right-aligned contents.\n    .navbar-fixed-top &,\n    .navbar-static-top &,\n    .navbar-fixed-bottom & {\n      padding-right: 0;\n      padding-left: 0;\n    }\n  }\n}\n\n.navbar-fixed-top,\n.navbar-fixed-bottom {\n  .navbar-collapse {\n    max-height: @navbar-collapse-max-height;\n\n    @media (max-device-width: @screen-xs-min) and (orientation: landscape) {\n      max-height: 200px;\n    }\n  }\n\n  // Fix the top/bottom navbars when screen real estate supports it\n  position: fixed;\n  right: 0;\n  left: 0;\n  z-index: @zindex-navbar-fixed;\n\n  // Undo the rounded corners\n  @media (min-width: @grid-float-breakpoint) {\n    border-radius: 0;\n  }\n}\n\n.navbar-fixed-top {\n  top: 0;\n  border-width: 0 0 1px;\n}\n.navbar-fixed-bottom {\n  bottom: 0;\n  margin-bottom: 0; // override .navbar defaults\n  border-width: 1px 0 0;\n}\n\n\n// Both navbar header and collapse\n//\n// When a container is present, change the behavior of the header and collapse.\n\n.container,\n.container-fluid {\n  > .navbar-header,\n  > .navbar-collapse {\n    margin-right: -@navbar-padding-horizontal;\n    margin-left: -@navbar-padding-horizontal;\n\n    @media (min-width: @grid-float-breakpoint) {\n      margin-right: 0;\n      margin-left: 0;\n    }\n  }\n}\n\n\n//\n// Navbar alignment options\n//\n// Display the navbar across the entirety of the page or fixed it to the top or\n// bottom of the page.\n\n// Static top (unfixed, but 100% wide) navbar\n.navbar-static-top {\n  z-index: @zindex-navbar;\n  border-width: 0 0 1px;\n\n  @media (min-width: @grid-float-breakpoint) {\n    border-radius: 0;\n  }\n}\n\n\n// Brand/project name\n\n.navbar-brand {\n  float: left;\n  height: @navbar-height;\n  padding: @navbar-padding-vertical @navbar-padding-horizontal;\n  font-size: @font-size-large;\n  line-height: @line-height-computed;\n\n  &:hover,\n  &:focus {\n    text-decoration: none;\n  }\n\n  > img {\n    display: block;\n  }\n\n  @media (min-width: @grid-float-breakpoint) {\n    .navbar > .container &,\n    .navbar > .container-fluid & {\n      margin-left: -@navbar-padding-horizontal;\n    }\n  }\n}\n\n\n// Navbar toggle\n//\n// Custom button for toggling the `.navbar-collapse`, powered by the collapse\n// JavaScript plugin.\n\n.navbar-toggle {\n  position: relative;\n  float: right;\n  padding: 9px 10px;\n  margin-right: @navbar-padding-horizontal;\n  .navbar-vertical-align(34px);\n  background-color: transparent;\n  background-image: none; // Reset unusual Firefox-on-Android default style; see https://github.com/necolas/normalize.css/issues/214\n  border: 1px solid transparent;\n  border-radius: @border-radius-base;\n\n  // We remove the `outline` here, but later compensate by attaching `:hover`\n  // styles to `:focus`.\n  &:focus {\n    outline: 0;\n  }\n\n  // Bars\n  .icon-bar {\n    display: block;\n    width: 22px;\n    height: 2px;\n    border-radius: 1px;\n  }\n  .icon-bar + .icon-bar {\n    margin-top: 4px;\n  }\n\n  @media (min-width: @grid-float-breakpoint) {\n    display: none;\n  }\n}\n\n\n// Navbar nav links\n//\n// Builds on top of the `.nav` components with its own modifier class to make\n// the nav the full height of the horizontal nav (above 768px).\n\n.navbar-nav {\n  margin: (@navbar-padding-vertical / 2) -@navbar-padding-horizontal;\n\n  > li > a {\n    padding-top: 10px;\n    padding-bottom: 10px;\n    line-height: @line-height-computed;\n  }\n\n  @media (max-width: @grid-float-breakpoint-max) {\n    // Dropdowns get custom display when collapsed\n    .open .dropdown-menu {\n      position: static;\n      float: none;\n      width: auto;\n      margin-top: 0;\n      background-color: transparent;\n      border: 0;\n      box-shadow: none;\n      > li > a,\n      .dropdown-header {\n        padding: 5px 15px 5px 25px;\n      }\n      > li > a {\n        line-height: @line-height-computed;\n        &:hover,\n        &:focus {\n          background-image: none;\n        }\n      }\n    }\n  }\n\n  // Uncollapse the nav\n  @media (min-width: @grid-float-breakpoint) {\n    float: left;\n    margin: 0;\n\n    > li {\n      float: left;\n      > a {\n        padding-top: @navbar-padding-vertical;\n        padding-bottom: @navbar-padding-vertical;\n      }\n    }\n  }\n}\n\n\n// Navbar form\n//\n// Extension of the `.form-inline` with some extra flavor for optimum display in\n// our navbars.\n\n.navbar-form {\n  padding: 10px @navbar-padding-horizontal;\n  margin-right: -@navbar-padding-horizontal;\n  margin-left: -@navbar-padding-horizontal;\n  border-top: 1px solid transparent;\n  border-bottom: 1px solid transparent;\n  @shadow: inset 0 1px 0 rgba(255, 255, 255, .1), 0 1px 0 rgba(255, 255, 255, .1);\n  .box-shadow(@shadow);\n\n  // Mixin behavior for optimum display\n  .form-inline();\n\n  .form-group {\n    @media (max-width: @grid-float-breakpoint-max) {\n      margin-bottom: 5px;\n\n      &:last-child {\n        margin-bottom: 0;\n      }\n    }\n  }\n\n  // Vertically center in expanded, horizontal navbar\n  .navbar-vertical-align(@input-height-base);\n\n  // Undo 100% width for pull classes\n  @media (min-width: @grid-float-breakpoint) {\n    width: auto;\n    padding-top: 0;\n    padding-bottom: 0;\n    margin-right: 0;\n    margin-left: 0;\n    border: 0;\n    .box-shadow(none);\n  }\n}\n\n\n// Dropdown menus\n\n// Menu position and menu carets\n.navbar-nav > li > .dropdown-menu {\n  margin-top: 0;\n  .border-top-radius(0);\n}\n// Menu position and menu caret support for dropups via extra dropup class\n.navbar-fixed-bottom .navbar-nav > li > .dropdown-menu {\n  margin-bottom: 0;\n  .border-top-radius(@navbar-border-radius);\n  .border-bottom-radius(0);\n}\n\n\n// Buttons in navbars\n//\n// Vertically center a button within a navbar (when *not* in a form).\n\n.navbar-btn {\n  .navbar-vertical-align(@input-height-base);\n\n  &.btn-sm {\n    .navbar-vertical-align(@input-height-small);\n  }\n  &.btn-xs {\n    .navbar-vertical-align(22);\n  }\n}\n\n\n// Text in navbars\n//\n// Add a class to make any element properly align itself vertically within the navbars.\n\n.navbar-text {\n  .navbar-vertical-align(@line-height-computed);\n\n  @media (min-width: @grid-float-breakpoint) {\n    float: left;\n    margin-right: @navbar-padding-horizontal;\n    margin-left: @navbar-padding-horizontal;\n  }\n}\n\n\n// Component alignment\n//\n// Repurpose the pull utilities as their own navbar utilities to avoid specificity\n// issues with parents and chaining. Only do this when the navbar is uncollapsed\n// though so that navbar contents properly stack and align in mobile.\n//\n// Declared after the navbar components to ensure more specificity on the margins.\n\n@media (min-width: @grid-float-breakpoint) {\n  .navbar-left  { .pull-left(); }\n  .navbar-right {\n    .pull-right();\n    margin-right: -@navbar-padding-horizontal;\n\n    ~ .navbar-right {\n      margin-right: 0;\n    }\n  }\n}\n\n\n// Alternate navbars\n// --------------------------------------------------\n\n// Default navbar\n.navbar-default {\n  background-color: @navbar-default-bg;\n  border-color: @navbar-default-border;\n\n  .navbar-brand {\n    color: @navbar-default-brand-color;\n    &:hover,\n    &:focus {\n      color: @navbar-default-brand-hover-color;\n      background-color: @navbar-default-brand-hover-bg;\n    }\n  }\n\n  .navbar-text {\n    color: @navbar-default-color;\n  }\n\n  .navbar-nav {\n    > li > a {\n      color: @navbar-default-link-color;\n\n      &:hover,\n      &:focus {\n        color: @navbar-default-link-hover-color;\n        background-color: @navbar-default-link-hover-bg;\n      }\n    }\n    > .active > a {\n      &,\n      &:hover,\n      &:focus {\n        color: @navbar-default-link-active-color;\n        background-color: @navbar-default-link-active-bg;\n      }\n    }\n    > .disabled > a {\n      &,\n      &:hover,\n      &:focus {\n        color: @navbar-default-link-disabled-color;\n        background-color: @navbar-default-link-disabled-bg;\n      }\n    }\n\n    // Dropdown menu items\n    // Remove background color from open dropdown\n    > .open > a {\n      &,\n      &:hover,\n      &:focus {\n        color: @navbar-default-link-active-color;\n        background-color: @navbar-default-link-active-bg;\n      }\n    }\n\n    @media (max-width: @grid-float-breakpoint-max) {\n      // Dropdowns get custom display when collapsed\n      .open .dropdown-menu {\n        > li > a {\n          color: @navbar-default-link-color;\n          &:hover,\n          &:focus {\n            color: @navbar-default-link-hover-color;\n            background-color: @navbar-default-link-hover-bg;\n          }\n        }\n        > .active > a {\n          &,\n          &:hover,\n          &:focus {\n            color: @navbar-default-link-active-color;\n            background-color: @navbar-default-link-active-bg;\n          }\n        }\n        > .disabled > a {\n          &,\n          &:hover,\n          &:focus {\n            color: @navbar-default-link-disabled-color;\n            background-color: @navbar-default-link-disabled-bg;\n          }\n        }\n      }\n    }\n  }\n\n  .navbar-toggle {\n    border-color: @navbar-default-toggle-border-color;\n    &:hover,\n    &:focus {\n      background-color: @navbar-default-toggle-hover-bg;\n    }\n    .icon-bar {\n      background-color: @navbar-default-toggle-icon-bar-bg;\n    }\n  }\n\n  .navbar-collapse,\n  .navbar-form {\n    border-color: @navbar-default-border;\n  }\n\n\n  // Links in navbars\n  //\n  // Add a class to ensure links outside the navbar nav are colored correctly.\n\n  .navbar-link {\n    color: @navbar-default-link-color;\n    &:hover {\n      color: @navbar-default-link-hover-color;\n    }\n  }\n\n  .btn-link {\n    color: @navbar-default-link-color;\n    &:hover,\n    &:focus {\n      color: @navbar-default-link-hover-color;\n    }\n    &[disabled],\n    fieldset[disabled] & {\n      &:hover,\n      &:focus {\n        color: @navbar-default-link-disabled-color;\n      }\n    }\n  }\n}\n\n// Inverse navbar\n\n.navbar-inverse {\n  background-color: @navbar-inverse-bg;\n  border-color: @navbar-inverse-border;\n\n  .navbar-brand {\n    color: @navbar-inverse-brand-color;\n    &:hover,\n    &:focus {\n      color: @navbar-inverse-brand-hover-color;\n      background-color: @navbar-inverse-brand-hover-bg;\n    }\n  }\n\n  .navbar-text {\n    color: @navbar-inverse-color;\n  }\n\n  .navbar-nav {\n    > li > a {\n      color: @navbar-inverse-link-color;\n\n      &:hover,\n      &:focus {\n        color: @navbar-inverse-link-hover-color;\n        background-color: @navbar-inverse-link-hover-bg;\n      }\n    }\n    > .active > a {\n      &,\n      &:hover,\n      &:focus {\n        color: @navbar-inverse-link-active-color;\n        background-color: @navbar-inverse-link-active-bg;\n      }\n    }\n    > .disabled > a {\n      &,\n      &:hover,\n      &:focus {\n        color: @navbar-inverse-link-disabled-color;\n        background-color: @navbar-inverse-link-disabled-bg;\n      }\n    }\n\n    // Dropdowns\n    > .open > a {\n      &,\n      &:hover,\n      &:focus {\n        color: @navbar-inverse-link-active-color;\n        background-color: @navbar-inverse-link-active-bg;\n      }\n    }\n\n    @media (max-width: @grid-float-breakpoint-max) {\n      // Dropdowns get custom display\n      .open .dropdown-menu {\n        > .dropdown-header {\n          border-color: @navbar-inverse-border;\n        }\n        .divider {\n          background-color: @navbar-inverse-border;\n        }\n        > li > a {\n          color: @navbar-inverse-link-color;\n          &:hover,\n          &:focus {\n            color: @navbar-inverse-link-hover-color;\n            background-color: @navbar-inverse-link-hover-bg;\n          }\n        }\n        > .active > a {\n          &,\n          &:hover,\n          &:focus {\n            color: @navbar-inverse-link-active-color;\n            background-color: @navbar-inverse-link-active-bg;\n          }\n        }\n        > .disabled > a {\n          &,\n          &:hover,\n          &:focus {\n            color: @navbar-inverse-link-disabled-color;\n            background-color: @navbar-inverse-link-disabled-bg;\n          }\n        }\n      }\n    }\n  }\n\n  // Darken the responsive nav toggle\n  .navbar-toggle {\n    border-color: @navbar-inverse-toggle-border-color;\n    &:hover,\n    &:focus {\n      background-color: @navbar-inverse-toggle-hover-bg;\n    }\n    .icon-bar {\n      background-color: @navbar-inverse-toggle-icon-bar-bg;\n    }\n  }\n\n  .navbar-collapse,\n  .navbar-form {\n    border-color: darken(@navbar-inverse-bg, 7%);\n  }\n\n  .navbar-link {\n    color: @navbar-inverse-link-color;\n    &:hover {\n      color: @navbar-inverse-link-hover-color;\n    }\n  }\n\n  .btn-link {\n    color: @navbar-inverse-link-color;\n    &:hover,\n    &:focus {\n      color: @navbar-inverse-link-hover-color;\n    }\n    &[disabled],\n    fieldset[disabled] & {\n      &:hover,\n      &:focus {\n        color: @navbar-inverse-link-disabled-color;\n      }\n    }\n  }\n}\n","// Navbar vertical align\n//\n// Vertically center elements in the navbar.\n// Example: an element has a height of 30px, so write out `.navbar-vertical-align(30px);` to calculate the appropriate top margin.\n\n.navbar-vertical-align(@element-height) {\n  margin-top: ((@navbar-height - @element-height) / 2);\n  margin-bottom: ((@navbar-height - @element-height) / 2);\n}\n","// stylelint-disable declaration-no-important\n\n//\n// Utility classes\n// --------------------------------------------------\n\n\n// Floats\n// -------------------------\n\n.clearfix {\n  .clearfix();\n}\n.center-block {\n  .center-block();\n}\n.pull-right {\n  float: right !important;\n}\n.pull-left {\n  float: left !important;\n}\n\n\n// Toggling content\n// -------------------------\n\n// Note: Deprecated .hide in favor of .hidden or .sr-only (as appropriate) in v3.0.1\n.hide {\n  display: none !important;\n}\n.show {\n  display: block !important;\n}\n.invisible {\n  visibility: hidden;\n}\n.text-hide {\n  .text-hide();\n}\n\n\n// Hide from screenreaders and browsers\n//\n// Credit: HTML5 Boilerplate\n\n.hidden {\n  display: none !important;\n}\n\n\n// For Affix plugin\n// -------------------------\n\n.affix {\n  position: fixed;\n}\n","//\n// Breadcrumbs\n// --------------------------------------------------\n\n\n.breadcrumb {\n  padding: @breadcrumb-padding-vertical @breadcrumb-padding-horizontal;\n  margin-bottom: @line-height-computed;\n  list-style: none;\n  background-color: @breadcrumb-bg;\n  border-radius: @border-radius-base;\n\n  > li {\n    display: inline-block;\n\n    + li:before {\n      padding: 0 5px;\n      color: @breadcrumb-color;\n      content: \"@{breadcrumb-separator}\\00a0\"; // Unicode space added since inline-block means non-collapsing white-space\n    }\n  }\n\n  > .active {\n    color: @breadcrumb-active-color;\n  }\n}\n","//\n// Pagination (multiple pages)\n// --------------------------------------------------\n.pagination {\n  display: inline-block;\n  padding-left: 0;\n  margin: @line-height-computed 0;\n  border-radius: @border-radius-base;\n\n  > li {\n    display: inline; // Remove list-style and block-level defaults\n    > a,\n    > span {\n      position: relative;\n      float: left; // Collapse white-space\n      padding: @padding-base-vertical @padding-base-horizontal;\n      margin-left: -1px;\n      line-height: @line-height-base;\n      color: @pagination-color;\n      text-decoration: none;\n      background-color: @pagination-bg;\n      border: 1px solid @pagination-border;\n\n      &:hover,\n      &:focus {\n        z-index: 2;\n        color: @pagination-hover-color;\n        background-color: @pagination-hover-bg;\n        border-color: @pagination-hover-border;\n      }\n    }\n    &:first-child {\n      > a,\n      > span {\n        margin-left: 0;\n        .border-left-radius(@border-radius-base);\n      }\n    }\n    &:last-child {\n      > a,\n      > span {\n        .border-right-radius(@border-radius-base);\n      }\n    }\n  }\n\n  > .active > a,\n  > .active > span {\n    &,\n    &:hover,\n    &:focus {\n      z-index: 3;\n      color: @pagination-active-color;\n      cursor: default;\n      background-color: @pagination-active-bg;\n      border-color: @pagination-active-border;\n    }\n  }\n\n  > .disabled {\n    > span,\n    > span:hover,\n    > span:focus,\n    > a,\n    > a:hover,\n    > a:focus {\n      color: @pagination-disabled-color;\n      cursor: @cursor-disabled;\n      background-color: @pagination-disabled-bg;\n      border-color: @pagination-disabled-border;\n    }\n  }\n}\n\n// Sizing\n// --------------------------------------------------\n\n// Large\n.pagination-lg {\n  .pagination-size(@padding-large-vertical; @padding-large-horizontal; @font-size-large; @line-height-large; @border-radius-large);\n}\n\n// Small\n.pagination-sm {\n  .pagination-size(@padding-small-vertical; @padding-small-horizontal; @font-size-small; @line-height-small; @border-radius-small);\n}\n","// Pagination\n\n.pagination-size(@padding-vertical; @padding-horizontal; @font-size; @line-height; @border-radius) {\n  > li {\n    > a,\n    > span {\n      padding: @padding-vertical @padding-horizontal;\n      font-size: @font-size;\n      line-height: @line-height;\n    }\n    &:first-child {\n      > a,\n      > span {\n        .border-left-radius(@border-radius);\n      }\n    }\n    &:last-child {\n      > a,\n      > span {\n        .border-right-radius(@border-radius);\n      }\n    }\n  }\n}\n","//\n// Pager pagination\n// --------------------------------------------------\n\n\n.pager {\n  padding-left: 0;\n  margin: @line-height-computed 0;\n  text-align: center;\n  list-style: none;\n  &:extend(.clearfix all);\n  li {\n    display: inline;\n    > a,\n    > span {\n      display: inline-block;\n      padding: 5px 14px;\n      background-color: @pager-bg;\n      border: 1px solid @pager-border;\n      border-radius: @pager-border-radius;\n    }\n\n    > a:hover,\n    > a:focus {\n      text-decoration: none;\n      background-color: @pager-hover-bg;\n    }\n  }\n\n  .next {\n    > a,\n    > span {\n      float: right;\n    }\n  }\n\n  .previous {\n    > a,\n    > span {\n      float: left;\n    }\n  }\n\n  .disabled {\n    > a,\n    > a:hover,\n    > a:focus,\n    > span {\n      color: @pager-disabled-color;\n      cursor: @cursor-disabled;\n      background-color: @pager-bg;\n    }\n  }\n}\n","//\n// Labels\n// --------------------------------------------------\n\n.label {\n  display: inline;\n  padding: .2em .6em .3em;\n  font-size: 75%;\n  font-weight: 700;\n  line-height: 1;\n  color: @label-color;\n  text-align: center;\n  white-space: nowrap;\n  vertical-align: baseline;\n  border-radius: .25em;\n\n  // Add hover effects, but only for links\n  a& {\n    &:hover,\n    &:focus {\n      color: @label-link-hover-color;\n      text-decoration: none;\n      cursor: pointer;\n    }\n  }\n\n  // Empty labels collapse automatically (not available in IE8)\n  &:empty {\n    display: none;\n  }\n\n  // Quick fix for labels in buttons\n  .btn & {\n    position: relative;\n    top: -1px;\n  }\n}\n\n// Colors\n// Contextual variations (linked labels get darker on :hover)\n\n.label-default {\n  .label-variant(@label-default-bg);\n}\n\n.label-primary {\n  .label-variant(@label-primary-bg);\n}\n\n.label-success {\n  .label-variant(@label-success-bg);\n}\n\n.label-info {\n  .label-variant(@label-info-bg);\n}\n\n.label-warning {\n  .label-variant(@label-warning-bg);\n}\n\n.label-danger {\n  .label-variant(@label-danger-bg);\n}\n","// Labels\n\n.label-variant(@color) {\n  background-color: @color;\n\n  &[href] {\n    &:hover,\n    &:focus {\n      background-color: darken(@color, 10%);\n    }\n  }\n}\n","//\n// Badges\n// --------------------------------------------------\n\n\n// Base class\n.badge {\n  display: inline-block;\n  min-width: 10px;\n  padding: 3px 7px;\n  font-size: @font-size-small;\n  font-weight: @badge-font-weight;\n  line-height: @badge-line-height;\n  color: @badge-color;\n  text-align: center;\n  white-space: nowrap;\n  vertical-align: middle;\n  background-color: @badge-bg;\n  border-radius: @badge-border-radius;\n\n  // Empty badges collapse automatically (not available in IE8)\n  &:empty {\n    display: none;\n  }\n\n  // Quick fix for badges in buttons\n  .btn & {\n    position: relative;\n    top: -1px;\n  }\n\n  .btn-xs &,\n  .btn-group-xs > .btn & {\n    top: 0;\n    padding: 1px 5px;\n  }\n\n  // Hover state, but only for links\n  a& {\n    &:hover,\n    &:focus {\n      color: @badge-link-hover-color;\n      text-decoration: none;\n      cursor: pointer;\n    }\n  }\n\n  // Account for badges in navs\n  .list-group-item.active > &,\n  .nav-pills > .active > a > & {\n    color: @badge-active-color;\n    background-color: @badge-active-bg;\n  }\n\n  .list-group-item > & {\n    float: right;\n  }\n\n  .list-group-item > & + & {\n    margin-right: 5px;\n  }\n\n  .nav-pills > li > a > & {\n    margin-left: 3px;\n  }\n}\n","//\n// Jumbotron\n// --------------------------------------------------\n\n\n.jumbotron {\n  padding-top: @jumbotron-padding;\n  padding-bottom: @jumbotron-padding;\n  margin-bottom: @jumbotron-padding;\n  color: @jumbotron-color;\n  background-color: @jumbotron-bg;\n\n  h1,\n  .h1 {\n    color: @jumbotron-heading-color;\n  }\n\n  p {\n    margin-bottom: (@jumbotron-padding / 2);\n    font-size: @jumbotron-font-size;\n    font-weight: 200;\n  }\n\n  > hr {\n    border-top-color: darken(@jumbotron-bg, 10%);\n  }\n\n  .container &,\n  .container-fluid & {\n    padding-right: (@grid-gutter-width / 2);\n    padding-left: (@grid-gutter-width / 2);\n    border-radius: @border-radius-large; // Only round corners at higher resolutions if contained in a container\n  }\n\n  .container {\n    max-width: 100%;\n  }\n\n  @media screen and (min-width: @screen-sm-min) {\n    padding-top: (@jumbotron-padding * 1.6);\n    padding-bottom: (@jumbotron-padding * 1.6);\n\n    .container &,\n    .container-fluid & {\n      padding-right: (@jumbotron-padding * 2);\n      padding-left: (@jumbotron-padding * 2);\n    }\n\n    h1,\n    .h1 {\n      font-size: @jumbotron-heading-font-size;\n    }\n  }\n}\n","// stylelint-disable selector-no-qualifying-type\n\n//\n// Thumbnails\n// --------------------------------------------------\n\n\n// Mixin and adjust the regular image class\n.thumbnail {\n  display: block;\n  padding: @thumbnail-padding;\n  margin-bottom: @line-height-computed;\n  line-height: @line-height-base;\n  background-color: @thumbnail-bg;\n  border: 1px solid @thumbnail-border;\n  border-radius: @thumbnail-border-radius;\n  .transition(border .2s ease-in-out);\n\n  > img,\n  a > img {\n    &:extend(.img-responsive);\n    margin-right: auto;\n    margin-left: auto;\n  }\n\n  // Add a hover state for linked versions only\n  a&:hover,\n  a&:focus,\n  a&.active {\n    border-color: @link-color;\n  }\n\n  // Image captions\n  .caption {\n    padding: @thumbnail-caption-padding;\n    color: @thumbnail-caption-color;\n  }\n}\n","//\n// Alerts\n// --------------------------------------------------\n\n\n// Base styles\n// -------------------------\n\n.alert {\n  padding: @alert-padding;\n  margin-bottom: @line-height-computed;\n  border: 1px solid transparent;\n  border-radius: @alert-border-radius;\n\n  // Headings for larger alerts\n  h4 {\n    margin-top: 0;\n    color: inherit; // Specified for the h4 to prevent conflicts of changing @headings-color\n  }\n\n  // Provide class for links that match alerts\n  .alert-link {\n    font-weight: @alert-link-font-weight;\n  }\n\n  // Improve alignment and spacing of inner content\n  > p,\n  > ul {\n    margin-bottom: 0;\n  }\n\n  > p + p {\n    margin-top: 5px;\n  }\n}\n\n// Dismissible alerts\n//\n// Expand the right padding and account for the close button's positioning.\n\n// The misspelled .alert-dismissable was deprecated in 3.2.0.\n.alert-dismissable,\n.alert-dismissible {\n  padding-right: (@alert-padding + 20);\n\n  // Adjust close link position\n  .close {\n    position: relative;\n    top: -2px;\n    right: -21px;\n    color: inherit;\n  }\n}\n\n// Alternate styles\n//\n// Generate contextual modifier classes for colorizing the alert.\n\n.alert-success {\n  .alert-variant(@alert-success-bg; @alert-success-border; @alert-success-text);\n}\n\n.alert-info {\n  .alert-variant(@alert-info-bg; @alert-info-border; @alert-info-text);\n}\n\n.alert-warning {\n  .alert-variant(@alert-warning-bg; @alert-warning-border; @alert-warning-text);\n}\n\n.alert-danger {\n  .alert-variant(@alert-danger-bg; @alert-danger-border; @alert-danger-text);\n}\n","// Alerts\n\n.alert-variant(@background; @border; @text-color) {\n  color: @text-color;\n  background-color: @background;\n  border-color: @border;\n\n  hr {\n    border-top-color: darken(@border, 5%);\n  }\n\n  .alert-link {\n    color: darken(@text-color, 10%);\n  }\n}\n","// stylelint-disable at-rule-no-vendor-prefix\n\n//\n// Progress bars\n// --------------------------------------------------\n\n\n// Bar animations\n// -------------------------\n\n// WebKit\n@-webkit-keyframes progress-bar-stripes {\n  from  { background-position: 40px 0; }\n  to    { background-position: 0 0; }\n}\n\n// Spec and IE10+\n@keyframes progress-bar-stripes {\n  from  { background-position: 40px 0; }\n  to    { background-position: 0 0; }\n}\n\n\n// Bar itself\n// -------------------------\n\n// Outer container\n.progress {\n  height: @line-height-computed;\n  margin-bottom: @line-height-computed;\n  overflow: hidden;\n  background-color: @progress-bg;\n  border-radius: @progress-border-radius;\n  .box-shadow(inset 0 1px 2px rgba(0, 0, 0, .1));\n}\n\n// Bar of progress\n.progress-bar {\n  float: left;\n  width: 0%;\n  height: 100%;\n  font-size: @font-size-small;\n  line-height: @line-height-computed;\n  color: @progress-bar-color;\n  text-align: center;\n  background-color: @progress-bar-bg;\n  .box-shadow(inset 0 -1px 0 rgba(0, 0, 0, .15));\n  .transition(width .6s ease);\n}\n\n// Striped bars\n//\n// `.progress-striped .progress-bar` is deprecated as of v3.2.0 in favor of the\n// `.progress-bar-striped` class, which you just add to an existing\n// `.progress-bar`.\n.progress-striped .progress-bar,\n.progress-bar-striped {\n  #gradient > .striped();\n  background-size: 40px 40px;\n}\n\n// Call animation for the active one\n//\n// `.progress.active .progress-bar` is deprecated as of v3.2.0 in favor of the\n// `.progress-bar.active` approach.\n.progress.active .progress-bar,\n.progress-bar.active {\n  .animation(progress-bar-stripes 2s linear infinite);\n}\n\n\n// Variations\n// -------------------------\n\n.progress-bar-success {\n  .progress-bar-variant(@progress-bar-success-bg);\n}\n\n.progress-bar-info {\n  .progress-bar-variant(@progress-bar-info-bg);\n}\n\n.progress-bar-warning {\n  .progress-bar-variant(@progress-bar-warning-bg);\n}\n\n.progress-bar-danger {\n  .progress-bar-variant(@progress-bar-danger-bg);\n}\n","// stylelint-disable value-no-vendor-prefix, selector-max-id\n\n#gradient {\n\n  // Horizontal gradient, from left to right\n  //\n  // Creates two color stops, start and end, by specifying a color and position for each color stop.\n  // Color stops are not available in IE9 and below.\n  .horizontal(@start-color: #555; @end-color: #333; @start-percent: 0%; @end-percent: 100%) {\n    background-image: -webkit-linear-gradient(left, @start-color @start-percent, @end-color @end-percent); // Safari 5.1-6, Chrome 10+\n    background-image: -o-linear-gradient(left, @start-color @start-percent, @end-color @end-percent); // Opera 12\n    background-image: linear-gradient(to right, @start-color @start-percent, @end-color @end-percent); // Standard, IE10, Firefox 16+, Opera 12.10+, Safari 7+, Chrome 26+\n    filter: e(%(\"progid:DXImageTransform.Microsoft.gradient(startColorstr='%d', endColorstr='%d', GradientType=1)\", argb(@start-color), argb(@end-color))); // IE9 and down\n    background-repeat: repeat-x;\n  }\n\n  // Vertical gradient, from top to bottom\n  //\n  // Creates two color stops, start and end, by specifying a color and position for each color stop.\n  // Color stops are not available in IE9 and below.\n  .vertical(@start-color: #555; @end-color: #333; @start-percent: 0%; @end-percent: 100%) {\n    background-image: -webkit-linear-gradient(top, @start-color @start-percent, @end-color @end-percent);  // Safari 5.1-6, Chrome 10+\n    background-image: -o-linear-gradient(top, @start-color @start-percent, @end-color @end-percent);  // Opera 12\n    background-image: linear-gradient(to bottom, @start-color @start-percent, @end-color @end-percent); // Standard, IE10, Firefox 16+, Opera 12.10+, Safari 7+, Chrome 26+\n    filter: e(%(\"progid:DXImageTransform.Microsoft.gradient(startColorstr='%d', endColorstr='%d', GradientType=0)\", argb(@start-color), argb(@end-color))); // IE9 and down\n    background-repeat: repeat-x;\n  }\n\n  .directional(@start-color: #555; @end-color: #333; @deg: 45deg) {\n    background-image: -webkit-linear-gradient(@deg, @start-color, @end-color); // Safari 5.1-6, Chrome 10+\n    background-image: -o-linear-gradient(@deg, @start-color, @end-color); // Opera 12\n    background-image: linear-gradient(@deg, @start-color, @end-color); // Standard, IE10, Firefox 16+, Opera 12.10+, Safari 7+, Chrome 26+\n    background-repeat: repeat-x;\n  }\n  .horizontal-three-colors(@start-color: #00b3ee; @mid-color: #7a43b6; @color-stop: 50%; @end-color: #c3325f) {\n    background-image: -webkit-linear-gradient(left, @start-color, @mid-color @color-stop, @end-color);\n    background-image: -o-linear-gradient(left, @start-color, @mid-color @color-stop, @end-color);\n    background-image: linear-gradient(to right, @start-color, @mid-color @color-stop, @end-color);\n    filter: e(%(\"progid:DXImageTransform.Microsoft.gradient(startColorstr='%d', endColorstr='%d', GradientType=1)\", argb(@start-color), argb(@end-color))); // IE9 and down, gets no color-stop at all for proper fallback\n    background-repeat: no-repeat;\n  }\n  .vertical-three-colors(@start-color: #00b3ee; @mid-color: #7a43b6; @color-stop: 50%; @end-color: #c3325f) {\n    background-image: -webkit-linear-gradient(@start-color, @mid-color @color-stop, @end-color);\n    background-image: -o-linear-gradient(@start-color, @mid-color @color-stop, @end-color);\n    background-image: linear-gradient(@start-color, @mid-color @color-stop, @end-color);\n    filter: e(%(\"progid:DXImageTransform.Microsoft.gradient(startColorstr='%d', endColorstr='%d', GradientType=0)\", argb(@start-color), argb(@end-color))); // IE9 and down, gets no color-stop at all for proper fallback\n    background-repeat: no-repeat;\n  }\n  .radial(@inner-color: #555; @outer-color: #333) {\n    background-image: -webkit-radial-gradient(circle, @inner-color, @outer-color);\n    background-image: radial-gradient(circle, @inner-color, @outer-color);\n    background-repeat: no-repeat;\n  }\n  .striped(@color: rgba(255, 255, 255, .15); @angle: 45deg) {\n    background-image: -webkit-linear-gradient(@angle, @color 25%, transparent 25%, transparent 50%, @color 50%, @color 75%, transparent 75%, transparent);\n    background-image: -o-linear-gradient(@angle, @color 25%, transparent 25%, transparent 50%, @color 50%, @color 75%, transparent 75%, transparent);\n    background-image: linear-gradient(@angle, @color 25%, transparent 25%, transparent 50%, @color 50%, @color 75%, transparent 75%, transparent);\n  }\n}\n","// Progress bars\n\n.progress-bar-variant(@color) {\n  background-color: @color;\n\n  // Deprecated parent class requirement as of v3.2.0\n  .progress-striped & {\n    #gradient > .striped();\n  }\n}\n",".media {\n  // Proper spacing between instances of .media\n  margin-top: 15px;\n\n  &:first-child {\n    margin-top: 0;\n  }\n}\n\n.media,\n.media-body {\n  overflow: hidden;\n  zoom: 1;\n}\n\n.media-body {\n  width: 10000px;\n}\n\n.media-object {\n  display: block;\n\n  // Fix collapse in webkit from max-width: 100% and display: table-cell.\n  &.img-thumbnail {\n    max-width: none;\n  }\n}\n\n.media-right,\n.media > .pull-right {\n  padding-left: 10px;\n}\n\n.media-left,\n.media > .pull-left {\n  padding-right: 10px;\n}\n\n.media-left,\n.media-right,\n.media-body {\n  display: table-cell;\n  vertical-align: top;\n}\n\n.media-middle {\n  vertical-align: middle;\n}\n\n.media-bottom {\n  vertical-align: bottom;\n}\n\n// Reset margins on headings for tighter default spacing\n.media-heading {\n  margin-top: 0;\n  margin-bottom: 5px;\n}\n\n// Media list variation\n//\n// Undo default ul/ol styles\n.media-list {\n  padding-left: 0;\n  list-style: none;\n}\n","// stylelint-disable selector-no-qualifying-type\n\n//\n// List groups\n// --------------------------------------------------\n\n\n// Base class\n//\n// Easily usable on <ul>, <ol>, or <div>.\n\n.list-group {\n  // No need to set list-style: none; since .list-group-item is block level\n  padding-left: 0; // reset padding because ul and ol\n  margin-bottom: 20px;\n}\n\n\n// Individual list items\n//\n// Use on `li`s or `div`s within the `.list-group` parent.\n\n.list-group-item {\n  position: relative;\n  display: block;\n  padding: 10px 15px;\n  // Place the border on the list items and negative margin up for better styling\n  margin-bottom: -1px;\n  background-color: @list-group-bg;\n  border: 1px solid @list-group-border;\n\n  // Round the first and last items\n  &:first-child {\n    .border-top-radius(@list-group-border-radius);\n  }\n  &:last-child {\n    margin-bottom: 0;\n    .border-bottom-radius(@list-group-border-radius);\n  }\n\n  // Disabled state\n  &.disabled,\n  &.disabled:hover,\n  &.disabled:focus {\n    color: @list-group-disabled-color;\n    cursor: @cursor-disabled;\n    background-color: @list-group-disabled-bg;\n\n    // Force color to inherit for custom content\n    .list-group-item-heading {\n      color: inherit;\n    }\n    .list-group-item-text {\n      color: @list-group-disabled-text-color;\n    }\n  }\n\n  // Active class on item itself, not parent\n  &.active,\n  &.active:hover,\n  &.active:focus {\n    z-index: 2; // Place active items above their siblings for proper border styling\n    color: @list-group-active-color;\n    background-color: @list-group-active-bg;\n    border-color: @list-group-active-border;\n\n    // Force color to inherit for custom content\n    .list-group-item-heading,\n    .list-group-item-heading > small,\n    .list-group-item-heading > .small {\n      color: inherit;\n    }\n    .list-group-item-text {\n      color: @list-group-active-text-color;\n    }\n  }\n}\n\n\n// Interactive list items\n//\n// Use anchor or button elements instead of `li`s or `div`s to create interactive items.\n// Includes an extra `.active` modifier class for showing selected items.\n\na.list-group-item,\nbutton.list-group-item {\n  color: @list-group-link-color;\n\n  .list-group-item-heading {\n    color: @list-group-link-heading-color;\n  }\n\n  // Hover state\n  &:hover,\n  &:focus {\n    color: @list-group-link-hover-color;\n    text-decoration: none;\n    background-color: @list-group-hover-bg;\n  }\n}\n\nbutton.list-group-item {\n  width: 100%;\n  text-align: left;\n}\n\n\n// Contextual variants\n//\n// Add modifier classes to change text and background color on individual items.\n// Organizationally, this must come after the `:hover` states.\n\n.list-group-item-variant(success; @state-success-bg; @state-success-text);\n.list-group-item-variant(info; @state-info-bg; @state-info-text);\n.list-group-item-variant(warning; @state-warning-bg; @state-warning-text);\n.list-group-item-variant(danger; @state-danger-bg; @state-danger-text);\n\n\n// Custom content options\n//\n// Extra classes for creating well-formatted content within `.list-group-item`s.\n\n.list-group-item-heading {\n  margin-top: 0;\n  margin-bottom: 5px;\n}\n.list-group-item-text {\n  margin-bottom: 0;\n  line-height: 1.3;\n}\n","// List Groups\n\n.list-group-item-variant(@state; @background; @color) {\n  .list-group-item-@{state} {\n    color: @color;\n    background-color: @background;\n\n    a&,\n    button& {\n      color: @color;\n\n      .list-group-item-heading {\n        color: inherit;\n      }\n\n      &:hover,\n      &:focus {\n        color: @color;\n        background-color: darken(@background, 5%);\n      }\n      &.active,\n      &.active:hover,\n      &.active:focus {\n        color: #fff;\n        background-color: @color;\n        border-color: @color;\n      }\n    }\n  }\n}\n","// stylelint-disable selector-max-type, selector-max-compound-selectors, selector-max-combinators, no-duplicate-selectors\n\n//\n// Panels\n// --------------------------------------------------\n\n\n// Base class\n.panel {\n  margin-bottom: @line-height-computed;\n  background-color: @panel-bg;\n  border: 1px solid transparent;\n  border-radius: @panel-border-radius;\n  .box-shadow(0 1px 1px rgba(0, 0, 0, .05));\n}\n\n// Panel contents\n.panel-body {\n  padding: @panel-body-padding;\n  &:extend(.clearfix all);\n}\n\n// Optional heading\n.panel-heading {\n  padding: @panel-heading-padding;\n  border-bottom: 1px solid transparent;\n  .border-top-radius((@panel-border-radius - 1));\n\n  > .dropdown .dropdown-toggle {\n    color: inherit;\n  }\n}\n\n// Within heading, strip any `h*` tag of its default margins for spacing.\n.panel-title {\n  margin-top: 0;\n  margin-bottom: 0;\n  font-size: ceil((@font-size-base * 1.125));\n  color: inherit;\n\n  > a,\n  > small,\n  > .small,\n  > small > a,\n  > .small > a {\n    color: inherit;\n  }\n}\n\n// Optional footer (stays gray in every modifier class)\n.panel-footer {\n  padding: @panel-footer-padding;\n  background-color: @panel-footer-bg;\n  border-top: 1px solid @panel-inner-border;\n  .border-bottom-radius((@panel-border-radius - 1));\n}\n\n\n// List groups in panels\n//\n// By default, space out list group content from panel headings to account for\n// any kind of custom content between the two.\n\n.panel {\n  > .list-group,\n  > .panel-collapse > .list-group {\n    margin-bottom: 0;\n\n    .list-group-item {\n      border-width: 1px 0;\n      border-radius: 0;\n    }\n\n    // Add border top radius for first one\n    &:first-child {\n      .list-group-item:first-child {\n        border-top: 0;\n        .border-top-radius((@panel-border-radius - 1));\n      }\n    }\n\n    // Add border bottom radius for last one\n    &:last-child {\n      .list-group-item:last-child {\n        border-bottom: 0;\n        .border-bottom-radius((@panel-border-radius - 1));\n      }\n    }\n  }\n  > .panel-heading + .panel-collapse > .list-group {\n    .list-group-item:first-child {\n      .border-top-radius(0);\n    }\n  }\n}\n// Collapse space between when there's no additional content.\n.panel-heading + .list-group {\n  .list-group-item:first-child {\n    border-top-width: 0;\n  }\n}\n.list-group + .panel-footer {\n  border-top-width: 0;\n}\n\n// Tables in panels\n//\n// Place a non-bordered `.table` within a panel (not within a `.panel-body`) and\n// watch it go full width.\n\n.panel {\n  > .table,\n  > .table-responsive > .table,\n  > .panel-collapse > .table {\n    margin-bottom: 0;\n\n    caption {\n      padding-right: @panel-body-padding;\n      padding-left: @panel-body-padding;\n    }\n  }\n  // Add border top radius for first one\n  > .table:first-child,\n  > .table-responsive:first-child > .table:first-child {\n    .border-top-radius((@panel-border-radius - 1));\n\n    > thead:first-child,\n    > tbody:first-child {\n      > tr:first-child {\n        border-top-left-radius: (@panel-border-radius - 1);\n        border-top-right-radius: (@panel-border-radius - 1);\n\n        td:first-child,\n        th:first-child {\n          border-top-left-radius: (@panel-border-radius - 1);\n        }\n        td:last-child,\n        th:last-child {\n          border-top-right-radius: (@panel-border-radius - 1);\n        }\n      }\n    }\n  }\n  // Add border bottom radius for last one\n  > .table:last-child,\n  > .table-responsive:last-child > .table:last-child {\n    .border-bottom-radius((@panel-border-radius - 1));\n\n    > tbody:last-child,\n    > tfoot:last-child {\n      > tr:last-child {\n        border-bottom-right-radius: (@panel-border-radius - 1);\n        border-bottom-left-radius: (@panel-border-radius - 1);\n\n        td:first-child,\n        th:first-child {\n          border-bottom-left-radius: (@panel-border-radius - 1);\n        }\n        td:last-child,\n        th:last-child {\n          border-bottom-right-radius: (@panel-border-radius - 1);\n        }\n      }\n    }\n  }\n  > .panel-body + .table,\n  > .panel-body + .table-responsive,\n  > .table + .panel-body,\n  > .table-responsive + .panel-body {\n    border-top: 1px solid @table-border-color;\n  }\n  > .table > tbody:first-child > tr:first-child th,\n  > .table > tbody:first-child > tr:first-child td {\n    border-top: 0;\n  }\n  > .table-bordered,\n  > .table-responsive > .table-bordered {\n    border: 0;\n    > thead,\n    > tbody,\n    > tfoot {\n      > tr {\n        > th:first-child,\n        > td:first-child {\n          border-left: 0;\n        }\n        > th:last-child,\n        > td:last-child {\n          border-right: 0;\n        }\n      }\n    }\n    > thead,\n    > tbody {\n      > tr:first-child {\n        > td,\n        > th {\n          border-bottom: 0;\n        }\n      }\n    }\n    > tbody,\n    > tfoot {\n      > tr:last-child {\n        > td,\n        > th {\n          border-bottom: 0;\n        }\n      }\n    }\n  }\n  > .table-responsive {\n    margin-bottom: 0;\n    border: 0;\n  }\n}\n\n\n// Collapsible panels (aka, accordion)\n//\n// Wrap a series of panels in `.panel-group` to turn them into an accordion with\n// the help of our collapse JavaScript plugin.\n\n.panel-group {\n  margin-bottom: @line-height-computed;\n\n  // Tighten up margin so it's only between panels\n  .panel {\n    margin-bottom: 0;\n    border-radius: @panel-border-radius;\n\n    + .panel {\n      margin-top: 5px;\n    }\n  }\n\n  .panel-heading {\n    border-bottom: 0;\n\n    + .panel-collapse > .panel-body,\n    + .panel-collapse > .list-group {\n      border-top: 1px solid @panel-inner-border;\n    }\n  }\n\n  .panel-footer {\n    border-top: 0;\n    + .panel-collapse .panel-body {\n      border-bottom: 1px solid @panel-inner-border;\n    }\n  }\n}\n\n\n// Contextual variations\n.panel-default {\n  .panel-variant(@panel-default-border; @panel-default-text; @panel-default-heading-bg; @panel-default-border);\n}\n.panel-primary {\n  .panel-variant(@panel-primary-border; @panel-primary-text; @panel-primary-heading-bg; @panel-primary-border);\n}\n.panel-success {\n  .panel-variant(@panel-success-border; @panel-success-text; @panel-success-heading-bg; @panel-success-border);\n}\n.panel-info {\n  .panel-variant(@panel-info-border; @panel-info-text; @panel-info-heading-bg; @panel-info-border);\n}\n.panel-warning {\n  .panel-variant(@panel-warning-border; @panel-warning-text; @panel-warning-heading-bg; @panel-warning-border);\n}\n.panel-danger {\n  .panel-variant(@panel-danger-border; @panel-danger-text; @panel-danger-heading-bg; @panel-danger-border);\n}\n","// Panels\n\n.panel-variant(@border; @heading-text-color; @heading-bg-color; @heading-border) {\n  border-color: @border;\n\n  & > .panel-heading {\n    color: @heading-text-color;\n    background-color: @heading-bg-color;\n    border-color: @heading-border;\n\n    + .panel-collapse > .panel-body {\n      border-top-color: @border;\n    }\n    .badge {\n      color: @heading-bg-color;\n      background-color: @heading-text-color;\n    }\n  }\n  & > .panel-footer {\n    + .panel-collapse > .panel-body {\n      border-bottom-color: @border;\n    }\n  }\n}\n","// Embeds responsive\n//\n// Credit: Nicolas Gallagher and SUIT CSS.\n\n.embed-responsive {\n  position: relative;\n  display: block;\n  height: 0;\n  padding: 0;\n  overflow: hidden;\n\n  .embed-responsive-item,\n  iframe,\n  embed,\n  object,\n  video {\n    position: absolute;\n    top: 0;\n    bottom: 0;\n    left: 0;\n    width: 100%;\n    height: 100%;\n    border: 0;\n  }\n}\n\n// Modifier class for 16:9 aspect ratio\n.embed-responsive-16by9 {\n  padding-bottom: 56.25%;\n}\n\n// Modifier class for 4:3 aspect ratio\n.embed-responsive-4by3 {\n  padding-bottom: 75%;\n}\n","//\n// Wells\n// --------------------------------------------------\n\n\n// Base class\n.well {\n  min-height: 20px;\n  padding: 19px;\n  margin-bottom: 20px;\n  background-color: @well-bg;\n  border: 1px solid @well-border;\n  border-radius: @border-radius-base;\n  .box-shadow(inset 0 1px 1px rgba(0, 0, 0, .05));\n  blockquote {\n    border-color: #ddd;\n    border-color: rgba(0, 0, 0, .15);\n  }\n}\n\n// Sizes\n.well-lg {\n  padding: 24px;\n  border-radius: @border-radius-large;\n}\n.well-sm {\n  padding: 9px;\n  border-radius: @border-radius-small;\n}\n","// stylelint-disable property-no-vendor-prefix\n\n//\n// Close icons\n// --------------------------------------------------\n\n\n.close {\n  float: right;\n  font-size: (@font-size-base * 1.5);\n  font-weight: @close-font-weight;\n  line-height: 1;\n  color: @close-color;\n  text-shadow: @close-text-shadow;\n  .opacity(.2);\n\n  &:hover,\n  &:focus {\n    color: @close-color;\n    text-decoration: none;\n    cursor: pointer;\n    .opacity(.5);\n  }\n\n  // Additional properties for button version\n  // iOS requires the button element instead of an anchor tag.\n  // If you want the anchor version, it requires `href=\"#\"`.\n  // See https://developer.mozilla.org/en-US/docs/Web/Events/click#Safari_Mobile\n  button& {\n    padding: 0;\n    cursor: pointer;\n    background: transparent;\n    border: 0;\n    -webkit-appearance: none;\n    appearance: none;\n  }\n}\n","//\n// Modals\n// --------------------------------------------------\n\n// .modal-open      - body class for killing the scroll\n// .modal           - container to scroll within\n// .modal-dialog    - positioning shell for the actual modal\n// .modal-content   - actual modal w/ bg and corners and shit\n\n// Kill the scroll on the body\n.modal-open {\n  overflow: hidden;\n}\n\n// Container that the modal scrolls within\n.modal {\n  position: fixed;\n  top: 0;\n  right: 0;\n  bottom: 0;\n  left: 0;\n  z-index: @zindex-modal;\n  display: none;\n  overflow: hidden;\n  -webkit-overflow-scrolling: touch;\n\n  // Prevent Chrome on Windows from adding a focus outline. For details, see\n  // https://github.com/twbs/bootstrap/pull/10951.\n  outline: 0;\n\n  // When fading in the modal, animate it to slide down\n  &.fade .modal-dialog {\n    .translate(0, -25%);\n    .transition-transform(~\"0.3s ease-out\");\n  }\n  &.in .modal-dialog { .translate(0, 0); }\n}\n.modal-open .modal {\n  overflow-x: hidden;\n  overflow-y: auto;\n}\n\n// Shell div to position the modal with bottom padding\n.modal-dialog {\n  position: relative;\n  width: auto;\n  margin: 10px;\n}\n\n// Actual modal\n.modal-content {\n  position: relative;\n  background-color: @modal-content-bg;\n  background-clip: padding-box;\n  border: 1px solid @modal-content-fallback-border-color; //old browsers fallback (ie8 etc)\n  border: 1px solid @modal-content-border-color;\n  border-radius: @border-radius-large;\n  .box-shadow(0 3px 9px rgba(0, 0, 0, .5));\n  // Remove focus outline from opened modal\n  outline: 0;\n}\n\n// Modal background\n.modal-backdrop {\n  position: fixed;\n  top: 0;\n  right: 0;\n  bottom: 0;\n  left: 0;\n  z-index: @zindex-modal-background;\n  background-color: @modal-backdrop-bg;\n  // Fade for backdrop\n  &.fade { .opacity(0); }\n  &.in { .opacity(@modal-backdrop-opacity); }\n}\n\n// Modal header\n// Top section of the modal w/ title and dismiss\n.modal-header {\n  padding: @modal-title-padding;\n  border-bottom: 1px solid @modal-header-border-color;\n  &:extend(.clearfix all);\n}\n// Close icon\n.modal-header .close {\n  margin-top: -2px;\n}\n\n// Title text within header\n.modal-title {\n  margin: 0;\n  line-height: @modal-title-line-height;\n}\n\n// Modal body\n// Where all modal content resides (sibling of .modal-header and .modal-footer)\n.modal-body {\n  position: relative;\n  padding: @modal-inner-padding;\n}\n\n// Footer (for actions)\n.modal-footer {\n  padding: @modal-inner-padding;\n  text-align: right; // right align buttons\n  border-top: 1px solid @modal-footer-border-color;\n  &:extend(.clearfix all); // clear it in case folks use .pull-* classes on buttons\n\n  // Properly space out buttons\n  .btn + .btn {\n    margin-bottom: 0; // account for input[type=\"submit\"] which gets the bottom margin like all other inputs\n    margin-left: 5px;\n  }\n  // but override that for button groups\n  .btn-group .btn + .btn {\n    margin-left: -1px;\n  }\n  // and override it for block buttons as well\n  .btn-block + .btn-block {\n    margin-left: 0;\n  }\n}\n\n// Measure scrollbar width for padding body during modal show/hide\n.modal-scrollbar-measure {\n  position: absolute;\n  top: -9999px;\n  width: 50px;\n  height: 50px;\n  overflow: scroll;\n}\n\n// Scale up the modal\n@media (min-width: @screen-sm-min) {\n  // Automatically set modal's width for larger viewports\n  .modal-dialog {\n    width: @modal-md;\n    margin: 30px auto;\n  }\n  .modal-content {\n    .box-shadow(0 5px 15px rgba(0, 0, 0, .5));\n  }\n\n  // Modal sizes\n  .modal-sm { width: @modal-sm; }\n}\n\n@media (min-width: @screen-md-min) {\n  .modal-lg { width: @modal-lg; }\n}\n","//\n// Tooltips\n// --------------------------------------------------\n\n\n// Base class\n.tooltip {\n  position: absolute;\n  z-index: @zindex-tooltip;\n  display: block;\n  // Our parent element can be arbitrary since tooltips are by default inserted as a sibling of their target element.\n  // So reset our font and text properties to avoid inheriting weird values.\n  .reset-text();\n  font-size: @font-size-small;\n\n  .opacity(0);\n\n  &.in { .opacity(@tooltip-opacity); }\n  &.top {\n    padding: @tooltip-arrow-width 0;\n    margin-top: -3px;\n  }\n  &.right {\n    padding: 0 @tooltip-arrow-width;\n    margin-left: 3px;\n  }\n  &.bottom {\n    padding: @tooltip-arrow-width 0;\n    margin-top: 3px;\n  }\n  &.left {\n    padding: 0 @tooltip-arrow-width;\n    margin-left: -3px;\n  }\n\n  // Note: Deprecated .top-left, .top-right, .bottom-left, and .bottom-right as of v3.3.1\n  &.top .tooltip-arrow {\n    bottom: 0;\n    left: 50%;\n    margin-left: -@tooltip-arrow-width;\n    border-width: @tooltip-arrow-width @tooltip-arrow-width 0;\n    border-top-color: @tooltip-arrow-color;\n  }\n  &.top-left .tooltip-arrow {\n    right: @tooltip-arrow-width;\n    bottom: 0;\n    margin-bottom: -@tooltip-arrow-width;\n    border-width: @tooltip-arrow-width @tooltip-arrow-width 0;\n    border-top-color: @tooltip-arrow-color;\n  }\n  &.top-right .tooltip-arrow {\n    bottom: 0;\n    left: @tooltip-arrow-width;\n    margin-bottom: -@tooltip-arrow-width;\n    border-width: @tooltip-arrow-width @tooltip-arrow-width 0;\n    border-top-color: @tooltip-arrow-color;\n  }\n  &.right .tooltip-arrow {\n    top: 50%;\n    left: 0;\n    margin-top: -@tooltip-arrow-width;\n    border-width: @tooltip-arrow-width @tooltip-arrow-width @tooltip-arrow-width 0;\n    border-right-color: @tooltip-arrow-color;\n  }\n  &.left .tooltip-arrow {\n    top: 50%;\n    right: 0;\n    margin-top: -@tooltip-arrow-width;\n    border-width: @tooltip-arrow-width 0 @tooltip-arrow-width @tooltip-arrow-width;\n    border-left-color: @tooltip-arrow-color;\n  }\n  &.bottom .tooltip-arrow {\n    top: 0;\n    left: 50%;\n    margin-left: -@tooltip-arrow-width;\n    border-width: 0 @tooltip-arrow-width @tooltip-arrow-width;\n    border-bottom-color: @tooltip-arrow-color;\n  }\n  &.bottom-left .tooltip-arrow {\n    top: 0;\n    right: @tooltip-arrow-width;\n    margin-top: -@tooltip-arrow-width;\n    border-width: 0 @tooltip-arrow-width @tooltip-arrow-width;\n    border-bottom-color: @tooltip-arrow-color;\n  }\n  &.bottom-right .tooltip-arrow {\n    top: 0;\n    left: @tooltip-arrow-width;\n    margin-top: -@tooltip-arrow-width;\n    border-width: 0 @tooltip-arrow-width @tooltip-arrow-width;\n    border-bottom-color: @tooltip-arrow-color;\n  }\n}\n\n// Wrapper for the tooltip content\n.tooltip-inner {\n  max-width: @tooltip-max-width;\n  padding: 3px 8px;\n  color: @tooltip-color;\n  text-align: center;\n  background-color: @tooltip-bg;\n  border-radius: @border-radius-base;\n}\n\n// Arrows\n.tooltip-arrow {\n  position: absolute;\n  width: 0;\n  height: 0;\n  border-color: transparent;\n  border-style: solid;\n}\n",".reset-text() {\n  font-family: @font-family-base;\n  // We deliberately do NOT reset font-size.\n  font-style: normal;\n  font-weight: 400;\n  line-height: @line-height-base;\n  line-break: auto;\n  text-align: left; // Fallback for where `start` is not supported\n  text-align: start;\n  text-decoration: none;\n  text-shadow: none;\n  text-transform: none;\n  letter-spacing: normal;\n  word-break: normal;\n  word-spacing: normal;\n  word-wrap: normal;\n  white-space: normal;\n}\n","//\n// Popovers\n// --------------------------------------------------\n\n\n.popover {\n  position: absolute;\n  top: 0;\n  left: 0;\n  z-index: @zindex-popover;\n  display: none;\n  max-width: @popover-max-width;\n  padding: 1px;\n  // Our parent element can be arbitrary since popovers are by default inserted as a sibling of their target element.\n  // So reset our font and text properties to avoid inheriting weird values.\n  .reset-text();\n  font-size: @font-size-base;\n  background-color: @popover-bg;\n  background-clip: padding-box;\n  border: 1px solid @popover-fallback-border-color;\n  border: 1px solid @popover-border-color;\n  border-radius: @border-radius-large;\n  .box-shadow(0 5px 10px rgba(0, 0, 0, .2));\n\n  // Offset the popover to account for the popover arrow\n  &.top { margin-top: -@popover-arrow-width; }\n  &.right { margin-left: @popover-arrow-width; }\n  &.bottom { margin-top: @popover-arrow-width; }\n  &.left { margin-left: -@popover-arrow-width; }\n\n  // Arrows\n  // .arrow is outer, .arrow:after is inner\n  > .arrow {\n    border-width: @popover-arrow-outer-width;\n\n    &,\n    &:after {\n      position: absolute;\n      display: block;\n      width: 0;\n      height: 0;\n      border-color: transparent;\n      border-style: solid;\n    }\n\n    &:after {\n      content: \"\";\n      border-width: @popover-arrow-width;\n    }\n  }\n\n  &.top > .arrow {\n    bottom: -@popover-arrow-outer-width;\n    left: 50%;\n    margin-left: -@popover-arrow-outer-width;\n    border-top-color: @popover-arrow-outer-fallback-color; // IE8 fallback\n    border-top-color: @popover-arrow-outer-color;\n    border-bottom-width: 0;\n    &:after {\n      bottom: 1px;\n      margin-left: -@popover-arrow-width;\n      content: \" \";\n      border-top-color: @popover-arrow-color;\n      border-bottom-width: 0;\n    }\n  }\n  &.right > .arrow {\n    top: 50%;\n    left: -@popover-arrow-outer-width;\n    margin-top: -@popover-arrow-outer-width;\n    border-right-color: @popover-arrow-outer-fallback-color; // IE8 fallback\n    border-right-color: @popover-arrow-outer-color;\n    border-left-width: 0;\n    &:after {\n      bottom: -@popover-arrow-width;\n      left: 1px;\n      content: \" \";\n      border-right-color: @popover-arrow-color;\n      border-left-width: 0;\n    }\n  }\n  &.bottom > .arrow {\n    top: -@popover-arrow-outer-width;\n    left: 50%;\n    margin-left: -@popover-arrow-outer-width;\n    border-top-width: 0;\n    border-bottom-color: @popover-arrow-outer-fallback-color; // IE8 fallback\n    border-bottom-color: @popover-arrow-outer-color;\n    &:after {\n      top: 1px;\n      margin-left: -@popover-arrow-width;\n      content: \" \";\n      border-top-width: 0;\n      border-bottom-color: @popover-arrow-color;\n    }\n  }\n\n  &.left > .arrow {\n    top: 50%;\n    right: -@popover-arrow-outer-width;\n    margin-top: -@popover-arrow-outer-width;\n    border-right-width: 0;\n    border-left-color: @popover-arrow-outer-fallback-color; // IE8 fallback\n    border-left-color: @popover-arrow-outer-color;\n    &:after {\n      right: 1px;\n      bottom: -@popover-arrow-width;\n      content: \" \";\n      border-right-width: 0;\n      border-left-color: @popover-arrow-color;\n    }\n  }\n}\n\n.popover-title {\n  padding: 8px 14px;\n  margin: 0; // reset heading margin\n  font-size: @font-size-base;\n  background-color: @popover-title-bg;\n  border-bottom: 1px solid darken(@popover-title-bg, 5%);\n  border-radius: (@border-radius-large - 1) (@border-radius-large - 1) 0 0;\n}\n\n.popover-content {\n  padding: 9px 14px;\n}\n","// stylelint-disable media-feature-name-no-unknown\n\n//\n// Carousel\n// --------------------------------------------------\n\n\n// Wrapper for the slide container and indicators\n.carousel {\n  position: relative;\n}\n\n.carousel-inner {\n  position: relative;\n  width: 100%;\n  overflow: hidden;\n\n  > .item {\n    position: relative;\n    display: none;\n    .transition(.6s ease-in-out left);\n\n    // Account for jankitude on images\n    > img,\n    > a > img {\n      &:extend(.img-responsive);\n      line-height: 1;\n    }\n\n    // WebKit CSS3 transforms for supported devices\n    @media all and (transform-3d), (-webkit-transform-3d) {\n      .transition-transform(~\"0.6s ease-in-out\");\n      .backface-visibility(~\"hidden\");\n      .perspective(1000px);\n\n      &.next,\n      &.active.right {\n        .translate3d(100%, 0, 0);\n        left: 0;\n      }\n      &.prev,\n      &.active.left {\n        .translate3d(-100%, 0, 0);\n        left: 0;\n      }\n      &.next.left,\n      &.prev.right,\n      &.active {\n        .translate3d(0, 0, 0);\n        left: 0;\n      }\n    }\n  }\n\n  > .active,\n  > .next,\n  > .prev {\n    display: block;\n  }\n\n  > .active {\n    left: 0;\n  }\n\n  > .next,\n  > .prev {\n    position: absolute;\n    top: 0;\n    width: 100%;\n  }\n\n  > .next {\n    left: 100%;\n  }\n  > .prev {\n    left: -100%;\n  }\n  > .next.left,\n  > .prev.right {\n    left: 0;\n  }\n\n  > .active.left {\n    left: -100%;\n  }\n  > .active.right {\n    left: 100%;\n  }\n\n}\n\n// Left/right controls for nav\n// ---------------------------\n\n.carousel-control {\n  position: absolute;\n  top: 0;\n  bottom: 0;\n  left: 0;\n  width: @carousel-control-width;\n  font-size: @carousel-control-font-size;\n  color: @carousel-control-color;\n  text-align: center;\n  text-shadow: @carousel-text-shadow;\n  background-color: rgba(0, 0, 0, 0); // Fix IE9 click-thru bug\n  .opacity(@carousel-control-opacity);\n  // We can't have this transition here because WebKit cancels the carousel\n  // animation if you trip this while in the middle of another animation.\n\n  // Set gradients for backgrounds\n  &.left {\n    #gradient > .horizontal(@start-color: rgba(0, 0, 0, .5); @end-color: rgba(0, 0, 0, .0001));\n  }\n  &.right {\n    right: 0;\n    left: auto;\n    #gradient > .horizontal(@start-color: rgba(0, 0, 0, .0001); @end-color: rgba(0, 0, 0, .5));\n  }\n\n  // Hover/focus state\n  &:hover,\n  &:focus {\n    color: @carousel-control-color;\n    text-decoration: none;\n    outline: 0;\n    .opacity(.9);\n  }\n\n  // Toggles\n  .icon-prev,\n  .icon-next,\n  .glyphicon-chevron-left,\n  .glyphicon-chevron-right {\n    position: absolute;\n    top: 50%;\n    z-index: 5;\n    display: inline-block;\n    margin-top: -10px;\n  }\n  .icon-prev,\n  .glyphicon-chevron-left {\n    left: 50%;\n    margin-left: -10px;\n  }\n  .icon-next,\n  .glyphicon-chevron-right {\n    right: 50%;\n    margin-right: -10px;\n  }\n  .icon-prev,\n  .icon-next {\n    width: 20px;\n    height: 20px;\n    font-family: serif;\n    line-height: 1;\n  }\n\n  .icon-prev {\n    &:before {\n      content: \"\\2039\";// SINGLE LEFT-POINTING ANGLE QUOTATION MARK (U+2039)\n    }\n  }\n  .icon-next {\n    &:before {\n      content: \"\\203a\";// SINGLE RIGHT-POINTING ANGLE QUOTATION MARK (U+203A)\n    }\n  }\n}\n\n// Optional indicator pips\n//\n// Add an unordered list with the following class and add a list item for each\n// slide your carousel holds.\n\n.carousel-indicators {\n  position: absolute;\n  bottom: 10px;\n  left: 50%;\n  z-index: 15;\n  width: 60%;\n  padding-left: 0;\n  margin-left: -30%;\n  text-align: center;\n  list-style: none;\n\n  li {\n    display: inline-block;\n    width: 10px;\n    height: 10px;\n    margin: 1px;\n    text-indent: -999px;\n    cursor: pointer;\n    // IE8-9 hack for event handling\n    //\n    // Internet Explorer 8-9 does not support clicks on elements without a set\n    // `background-color`. We cannot use `filter` since that's not viewed as a\n    // background color by the browser. Thus, a hack is needed.\n    // See https://developer.mozilla.org/en-US/docs/Web/Events/click#Internet_Explorer\n    //\n    // For IE8, we set solid black as it doesn't support `rgba()`. For IE9, we\n    // set alpha transparency for the best results possible.\n    background-color: #000 \\9; // IE8\n    background-color: rgba(0, 0, 0, 0); // IE9\n\n    border: 1px solid @carousel-indicator-border-color;\n    border-radius: 10px;\n  }\n\n  .active {\n    width: 12px;\n    height: 12px;\n    margin: 0;\n    background-color: @carousel-indicator-active-bg;\n  }\n}\n\n// Optional captions\n// -----------------------------\n// Hidden by default for smaller viewports\n.carousel-caption {\n  position: absolute;\n  right: 15%;\n  bottom: 20px;\n  left: 15%;\n  z-index: 10;\n  padding-top: 20px;\n  padding-bottom: 20px;\n  color: @carousel-caption-color;\n  text-align: center;\n  text-shadow: @carousel-text-shadow;\n\n  & .btn {\n    text-shadow: none; // No shadow for button elements in carousel-caption\n  }\n}\n\n\n// Scale up controls for tablets and up\n@media screen and (min-width: @screen-sm-min) {\n\n  // Scale up the controls a smidge\n  .carousel-control {\n    .glyphicon-chevron-left,\n    .glyphicon-chevron-right,\n    .icon-prev,\n    .icon-next {\n      width: (@carousel-control-font-size * 1.5);\n      height: (@carousel-control-font-size * 1.5);\n      margin-top: (@carousel-control-font-size / -2);\n      font-size: (@carousel-control-font-size * 1.5);\n    }\n    .glyphicon-chevron-left,\n    .icon-prev {\n      margin-left: (@carousel-control-font-size / -2);\n    }\n    .glyphicon-chevron-right,\n    .icon-next {\n      margin-right: (@carousel-control-font-size / -2);\n    }\n  }\n\n  // Show and left align the captions\n  .carousel-caption {\n    right: 20%;\n    left: 20%;\n    padding-bottom: 30px;\n  }\n\n  // Move up the indicators\n  .carousel-indicators {\n    bottom: 20px;\n  }\n}\n","// Clearfix\n//\n// For modern browsers\n// 1. The space content is one way to avoid an Opera bug when the\n//    contenteditable attribute is included anywhere else in the document.\n//    Otherwise it causes space to appear at the top and bottom of elements\n//    that are clearfixed.\n// 2. The use of `table` rather than `block` is only necessary if using\n//    `:before` to contain the top-margins of child elements.\n//\n// Source: http://nicolasgallagher.com/micro-clearfix-hack/\n\n.clearfix() {\n  &:before,\n  &:after {\n    display: table; // 2\n    content: \" \"; // 1\n  }\n  &:after {\n    clear: both;\n  }\n}\n","// Center-align a block level element\n\n.center-block() {\n  display: block;\n  margin-right: auto;\n  margin-left: auto;\n}\n","// stylelint-disable font-family-name-quotes, font-family-no-missing-generic-family-keyword\n\n// CSS image replacement\n//\n// Heads up! v3 launched with only `.hide-text()`, but per our pattern for\n// mixins being reused as classes with the same name, this doesn't hold up. As\n// of v3.0.1 we have added `.text-hide()` and deprecated `.hide-text()`.\n//\n// Source: https://github.com/h5bp/html5-boilerplate/commit/aa0396eae757\n\n// Deprecated as of v3.0.1 (has been removed in v4)\n.hide-text() {\n  font: ~\"0/0\" a;\n  color: transparent;\n  text-shadow: none;\n  background-color: transparent;\n  border: 0;\n}\n\n// New mixin to use as of v3.0.1\n.text-hide() {\n  .hide-text();\n}\n","// stylelint-disable declaration-no-important, at-rule-no-vendor-prefix\n\n//\n// Responsive: Utility classes\n// --------------------------------------------------\n\n\n// IE10 in Windows (Phone) 8\n//\n// Support for responsive views via media queries is kind of borked in IE10, for\n// Surface/desktop in split view and for Windows Phone 8. This particular fix\n// must be accompanied by a snippet of JavaScript to sniff the user agent and\n// apply some conditional CSS to *only* the Surface/desktop Windows 8. Look at\n// our Getting Started page for more information on this bug.\n//\n// For more information, see the following:\n//\n// Issue: https://github.com/twbs/bootstrap/issues/10497\n// Docs: https://getbootstrap.com/docs/3.4/getting-started/#support-ie10-width\n// Source: https://timkadlec.com/2013/01/windows-phone-8-and-device-width/\n// Source: https://timkadlec.com/2012/10/ie10-snap-mode-and-responsive-design/\n\n@-ms-viewport {\n  width: device-width;\n}\n\n\n// Visibility utilities\n// Note: Deprecated .visible-xs, .visible-sm, .visible-md, and .visible-lg as of v3.2.0\n.visible-xs,\n.visible-sm,\n.visible-md,\n.visible-lg {\n  .responsive-invisibility();\n}\n\n.visible-xs-block,\n.visible-xs-inline,\n.visible-xs-inline-block,\n.visible-sm-block,\n.visible-sm-inline,\n.visible-sm-inline-block,\n.visible-md-block,\n.visible-md-inline,\n.visible-md-inline-block,\n.visible-lg-block,\n.visible-lg-inline,\n.visible-lg-inline-block {\n  display: none !important;\n}\n\n.visible-xs {\n  @media (max-width: @screen-xs-max) {\n    .responsive-visibility();\n  }\n}\n.visible-xs-block {\n  @media (max-width: @screen-xs-max) {\n    display: block !important;\n  }\n}\n.visible-xs-inline {\n  @media (max-width: @screen-xs-max) {\n    display: inline !important;\n  }\n}\n.visible-xs-inline-block {\n  @media (max-width: @screen-xs-max) {\n    display: inline-block !important;\n  }\n}\n\n.visible-sm {\n  @media (min-width: @screen-sm-min) and (max-width: @screen-sm-max) {\n    .responsive-visibility();\n  }\n}\n.visible-sm-block {\n  @media (min-width: @screen-sm-min) and (max-width: @screen-sm-max) {\n    display: block !important;\n  }\n}\n.visible-sm-inline {\n  @media (min-width: @screen-sm-min) and (max-width: @screen-sm-max) {\n    display: inline !important;\n  }\n}\n.visible-sm-inline-block {\n  @media (min-width: @screen-sm-min) and (max-width: @screen-sm-max) {\n    display: inline-block !important;\n  }\n}\n\n.visible-md {\n  @media (min-width: @screen-md-min) and (max-width: @screen-md-max) {\n    .responsive-visibility();\n  }\n}\n.visible-md-block {\n  @media (min-width: @screen-md-min) and (max-width: @screen-md-max) {\n    display: block !important;\n  }\n}\n.visible-md-inline {\n  @media (min-width: @screen-md-min) and (max-width: @screen-md-max) {\n    display: inline !important;\n  }\n}\n.visible-md-inline-block {\n  @media (min-width: @screen-md-min) and (max-width: @screen-md-max) {\n    display: inline-block !important;\n  }\n}\n\n.visible-lg {\n  @media (min-width: @screen-lg-min) {\n    .responsive-visibility();\n  }\n}\n.visible-lg-block {\n  @media (min-width: @screen-lg-min) {\n    display: block !important;\n  }\n}\n.visible-lg-inline {\n  @media (min-width: @screen-lg-min) {\n    display: inline !important;\n  }\n}\n.visible-lg-inline-block {\n  @media (min-width: @screen-lg-min) {\n    display: inline-block !important;\n  }\n}\n\n.hidden-xs {\n  @media (max-width: @screen-xs-max) {\n    .responsive-invisibility();\n  }\n}\n.hidden-sm {\n  @media (min-width: @screen-sm-min) and (max-width: @screen-sm-max) {\n    .responsive-invisibility();\n  }\n}\n.hidden-md {\n  @media (min-width: @screen-md-min) and (max-width: @screen-md-max) {\n    .responsive-invisibility();\n  }\n}\n.hidden-lg {\n  @media (min-width: @screen-lg-min) {\n    .responsive-invisibility();\n  }\n}\n\n\n// Print utilities\n//\n// Media queries are placed on the inside to be mixin-friendly.\n\n// Note: Deprecated .visible-print as of v3.2.0\n.visible-print {\n  .responsive-invisibility();\n\n  @media print {\n    .responsive-visibility();\n  }\n}\n.visible-print-block {\n  display: none !important;\n\n  @media print {\n    display: block !important;\n  }\n}\n.visible-print-inline {\n  display: none !important;\n\n  @media print {\n    display: inline !important;\n  }\n}\n.visible-print-inline-block {\n  display: none !important;\n\n  @media print {\n    display: inline-block !important;\n  }\n}\n\n.hidden-print {\n  @media print {\n    .responsive-invisibility();\n  }\n}\n","// stylelint-disable declaration-no-important\n\n.responsive-visibility() {\n  display: block !important;\n  table&  { display: table !important; }\n  tr&     { display: table-row !important; }\n  th&,\n  td&     { display: table-cell !important; }\n}\n\n.responsive-invisibility() {\n  display: none !important;\n}\n"]}
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_static/bootstrap-3.4.1/fonts/glyphicons-halflings-regular.eot b/trackpy/v0.6.2/_static/bootstrap-3.4.1/fonts/glyphicons-halflings-regular.eot
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diff --git a/trackpy/v0.6.2/_static/bootstrap-3.4.1/js/bootstrap.js b/trackpy/v0.6.2/_static/bootstrap-3.4.1/js/bootstrap.js
new file mode 100644
index 00000000..dc089c44
--- /dev/null
+++ b/trackpy/v0.6.2/_static/bootstrap-3.4.1/js/bootstrap.js
@@ -0,0 +1,2580 @@
+/*!
+ * Bootstrap v3.4.1 (https://getbootstrap.com/)
+ * Copyright 2011-2019 Twitter, Inc.
+ * Licensed under the MIT license
+ */
+
+if (typeof (window.$jqTheme || window.jQuery) === 'undefined') {
+  throw new Error('Bootstrap\'s JavaScript requires jQuery')
+}
+
++function ($) {
+  'use strict';
+  var version = $.fn.jquery.split(' ')[0].split('.')
+  if ((version[0] < 2 && version[1] < 9) || (version[0] == 1 && version[1] == 9 && version[2] < 1) || (version[0] > 3)) {
+    throw new Error('Bootstrap\'s JavaScript requires jQuery version 1.9.1 or higher, but lower than version 4')
+  }
+}(window.$jqTheme || window.jQuery);
+
+/* ========================================================================
+ * Bootstrap: transition.js v3.4.1
+ * https://getbootstrap.com/docs/3.4/javascript/#transitions
+ * ========================================================================
+ * Copyright 2011-2019 Twitter, Inc.
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
+ * ======================================================================== */
+
+
++function ($) {
+  'use strict';
+
+  // CSS TRANSITION SUPPORT (Shoutout: https://modernizr.com/)
+  // ============================================================
+
+  function transitionEnd() {
+    var el = document.createElement('bootstrap')
+
+    var transEndEventNames = {
+      WebkitTransition : 'webkitTransitionEnd',
+      MozTransition    : 'transitionend',
+      OTransition      : 'oTransitionEnd otransitionend',
+      transition       : 'transitionend'
+    }
+
+    for (var name in transEndEventNames) {
+      if (el.style[name] !== undefined) {
+        return { end: transEndEventNames[name] }
+      }
+    }
+
+    return false // explicit for ie8 (  ._.)
+  }
+
+  // https://blog.alexmaccaw.com/css-transitions
+  $.fn.emulateTransitionEnd = function (duration) {
+    var called = false
+    var $el = this
+    $(this).one('bsTransitionEnd', function () { called = true })
+    var callback = function () { if (!called) $($el).trigger($.support.transition.end) }
+    setTimeout(callback, duration)
+    return this
+  }
+
+  $(function () {
+    $.support.transition = transitionEnd()
+
+    if (!$.support.transition) return
+
+    $.event.special.bsTransitionEnd = {
+      bindType: $.support.transition.end,
+      delegateType: $.support.transition.end,
+      handle: function (e) {
+        if ($(e.target).is(this)) return e.handleObj.handler.apply(this, arguments)
+      }
+    }
+  })
+
+}(window.$jqTheme || window.jQuery);
+
+/* ========================================================================
+ * Bootstrap: alert.js v3.4.1
+ * https://getbootstrap.com/docs/3.4/javascript/#alerts
+ * ========================================================================
+ * Copyright 2011-2019 Twitter, Inc.
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
+ * ======================================================================== */
+
+
++function ($) {
+  'use strict';
+
+  // ALERT CLASS DEFINITION
+  // ======================
+
+  var dismiss = '[data-dismiss="alert"]'
+  var Alert   = function (el) {
+    $(el).on('click', dismiss, this.close)
+  }
+
+  Alert.VERSION = '3.4.1'
+
+  Alert.TRANSITION_DURATION = 150
+
+  Alert.prototype.close = function (e) {
+    var $this    = $(this)
+    var selector = $this.attr('data-target')
+
+    if (!selector) {
+      selector = $this.attr('href')
+      selector = selector && selector.replace(/.*(?=#[^\s]*$)/, '') // strip for ie7
+    }
+
+    selector    = selector === '#' ? [] : selector
+    var $parent = $(document).find(selector)
+
+    if (e) e.preventDefault()
+
+    if (!$parent.length) {
+      $parent = $this.closest('.alert')
+    }
+
+    $parent.trigger(e = $.Event('close.bs.alert'))
+
+    if (e.isDefaultPrevented()) return
+
+    $parent.removeClass('in')
+
+    function removeElement() {
+      // detach from parent, fire event then clean up data
+      $parent.detach().trigger('closed.bs.alert').remove()
+    }
+
+    $.support.transition && $parent.hasClass('fade') ?
+      $parent
+        .one('bsTransitionEnd', removeElement)
+        .emulateTransitionEnd(Alert.TRANSITION_DURATION) :
+      removeElement()
+  }
+
+
+  // ALERT PLUGIN DEFINITION
+  // =======================
+
+  function Plugin(option) {
+    return this.each(function () {
+      var $this = $(this)
+      var data  = $this.data('bs.alert')
+
+      if (!data) $this.data('bs.alert', (data = new Alert(this)))
+      if (typeof option == 'string') data[option].call($this)
+    })
+  }
+
+  var old = $.fn.alert
+
+  $.fn.alert             = Plugin
+  $.fn.alert.Constructor = Alert
+
+
+  // ALERT NO CONFLICT
+  // =================
+
+  $.fn.alert.noConflict = function () {
+    $.fn.alert = old
+    return this
+  }
+
+
+  // ALERT DATA-API
+  // ==============
+
+  $(document).on('click.bs.alert.data-api', dismiss, Alert.prototype.close)
+
+}(window.$jqTheme || window.jQuery);
+
+/* ========================================================================
+ * Bootstrap: button.js v3.4.1
+ * https://getbootstrap.com/docs/3.4/javascript/#buttons
+ * ========================================================================
+ * Copyright 2011-2019 Twitter, Inc.
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
+ * ======================================================================== */
+
+
++function ($) {
+  'use strict';
+
+  // BUTTON PUBLIC CLASS DEFINITION
+  // ==============================
+
+  var Button = function (element, options) {
+    this.$element  = $(element)
+    this.options   = $.extend({}, Button.DEFAULTS, options)
+    this.isLoading = false
+  }
+
+  Button.VERSION  = '3.4.1'
+
+  Button.DEFAULTS = {
+    loadingText: 'loading...'
+  }
+
+  Button.prototype.setState = function (state) {
+    var d    = 'disabled'
+    var $el  = this.$element
+    var val  = $el.is('input') ? 'val' : 'html'
+    var data = $el.data()
+
+    state += 'Text'
+
+    if (data.resetText == null) $el.data('resetText', $el[val]())
+
+    // push to event loop to allow forms to submit
+    setTimeout($.proxy(function () {
+      $el[val](data[state] == null ? this.options[state] : data[state])
+
+      if (state == 'loadingText') {
+        this.isLoading = true
+        $el.addClass(d).attr(d, d).prop(d, true)
+      } else if (this.isLoading) {
+        this.isLoading = false
+        $el.removeClass(d).removeAttr(d).prop(d, false)
+      }
+    }, this), 0)
+  }
+
+  Button.prototype.toggle = function () {
+    var changed = true
+    var $parent = this.$element.closest('[data-toggle="buttons"]')
+
+    if ($parent.length) {
+      var $input = this.$element.find('input')
+      if ($input.prop('type') == 'radio') {
+        if ($input.prop('checked')) changed = false
+        $parent.find('.active').removeClass('active')
+        this.$element.addClass('active')
+      } else if ($input.prop('type') == 'checkbox') {
+        if (($input.prop('checked')) !== this.$element.hasClass('active')) changed = false
+        this.$element.toggleClass('active')
+      }
+      $input.prop('checked', this.$element.hasClass('active'))
+      if (changed) $input.trigger('change')
+    } else {
+      this.$element.attr('aria-pressed', !this.$element.hasClass('active'))
+      this.$element.toggleClass('active')
+    }
+  }
+
+
+  // BUTTON PLUGIN DEFINITION
+  // ========================
+
+  function Plugin(option) {
+    return this.each(function () {
+      var $this   = $(this)
+      var data    = $this.data('bs.button')
+      var options = typeof option == 'object' && option
+
+      if (!data) $this.data('bs.button', (data = new Button(this, options)))
+
+      if (option == 'toggle') data.toggle()
+      else if (option) data.setState(option)
+    })
+  }
+
+  var old = $.fn.button
+
+  $.fn.button             = Plugin
+  $.fn.button.Constructor = Button
+
+
+  // BUTTON NO CONFLICT
+  // ==================
+
+  $.fn.button.noConflict = function () {
+    $.fn.button = old
+    return this
+  }
+
+
+  // BUTTON DATA-API
+  // ===============
+
+  $(document)
+    .on('click.bs.button.data-api', '[data-toggle^="button"]', function (e) {
+      var $btn = $(e.target).closest('.btn')
+      Plugin.call($btn, 'toggle')
+      if (!($(e.target).is('input[type="radio"], input[type="checkbox"]'))) {
+        // Prevent double click on radios, and the double selections (so cancellation) on checkboxes
+        e.preventDefault()
+        // The target component still receive the focus
+        if ($btn.is('input,button')) $btn.trigger('focus')
+        else $btn.find('input:visible,button:visible').first().trigger('focus')
+      }
+    })
+    .on('focus.bs.button.data-api blur.bs.button.data-api', '[data-toggle^="button"]', function (e) {
+      $(e.target).closest('.btn').toggleClass('focus', /^focus(in)?$/.test(e.type))
+    })
+
+}(window.$jqTheme || window.jQuery);
+
+/* ========================================================================
+ * Bootstrap: carousel.js v3.4.1
+ * https://getbootstrap.com/docs/3.4/javascript/#carousel
+ * ========================================================================
+ * Copyright 2011-2019 Twitter, Inc.
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
+ * ======================================================================== */
+
+
++function ($) {
+  'use strict';
+
+  // CAROUSEL CLASS DEFINITION
+  // =========================
+
+  var Carousel = function (element, options) {
+    this.$element    = $(element)
+    this.$indicators = this.$element.find('.carousel-indicators')
+    this.options     = options
+    this.paused      = null
+    this.sliding     = null
+    this.interval    = null
+    this.$active     = null
+    this.$items      = null
+
+    this.options.keyboard && this.$element.on('keydown.bs.carousel', $.proxy(this.keydown, this))
+
+    this.options.pause == 'hover' && !('ontouchstart' in document.documentElement) && this.$element
+      .on('mouseenter.bs.carousel', $.proxy(this.pause, this))
+      .on('mouseleave.bs.carousel', $.proxy(this.cycle, this))
+  }
+
+  Carousel.VERSION  = '3.4.1'
+
+  Carousel.TRANSITION_DURATION = 600
+
+  Carousel.DEFAULTS = {
+    interval: 5000,
+    pause: 'hover',
+    wrap: true,
+    keyboard: true
+  }
+
+  Carousel.prototype.keydown = function (e) {
+    if (/input|textarea/i.test(e.target.tagName)) return
+    switch (e.which) {
+      case 37: this.prev(); break
+      case 39: this.next(); break
+      default: return
+    }
+
+    e.preventDefault()
+  }
+
+  Carousel.prototype.cycle = function (e) {
+    e || (this.paused = false)
+
+    this.interval && clearInterval(this.interval)
+
+    this.options.interval
+      && !this.paused
+      && (this.interval = setInterval($.proxy(this.next, this), this.options.interval))
+
+    return this
+  }
+
+  Carousel.prototype.getItemIndex = function (item) {
+    this.$items = item.parent().children('.item')
+    return this.$items.index(item || this.$active)
+  }
+
+  Carousel.prototype.getItemForDirection = function (direction, active) {
+    var activeIndex = this.getItemIndex(active)
+    var willWrap = (direction == 'prev' && activeIndex === 0)
+                || (direction == 'next' && activeIndex == (this.$items.length - 1))
+    if (willWrap && !this.options.wrap) return active
+    var delta = direction == 'prev' ? -1 : 1
+    var itemIndex = (activeIndex + delta) % this.$items.length
+    return this.$items.eq(itemIndex)
+  }
+
+  Carousel.prototype.to = function (pos) {
+    var that        = this
+    var activeIndex = this.getItemIndex(this.$active = this.$element.find('.item.active'))
+
+    if (pos > (this.$items.length - 1) || pos < 0) return
+
+    if (this.sliding)       return this.$element.one('slid.bs.carousel', function () { that.to(pos) }) // yes, "slid"
+    if (activeIndex == pos) return this.pause().cycle()
+
+    return this.slide(pos > activeIndex ? 'next' : 'prev', this.$items.eq(pos))
+  }
+
+  Carousel.prototype.pause = function (e) {
+    e || (this.paused = true)
+
+    if (this.$element.find('.next, .prev').length && $.support.transition) {
+      this.$element.trigger($.support.transition.end)
+      this.cycle(true)
+    }
+
+    this.interval = clearInterval(this.interval)
+
+    return this
+  }
+
+  Carousel.prototype.next = function () {
+    if (this.sliding) return
+    return this.slide('next')
+  }
+
+  Carousel.prototype.prev = function () {
+    if (this.sliding) return
+    return this.slide('prev')
+  }
+
+  Carousel.prototype.slide = function (type, next) {
+    var $active   = this.$element.find('.item.active')
+    var $next     = next || this.getItemForDirection(type, $active)
+    var isCycling = this.interval
+    var direction = type == 'next' ? 'left' : 'right'
+    var that      = this
+
+    if ($next.hasClass('active')) return (this.sliding = false)
+
+    var relatedTarget = $next[0]
+    var slideEvent = $.Event('slide.bs.carousel', {
+      relatedTarget: relatedTarget,
+      direction: direction
+    })
+    this.$element.trigger(slideEvent)
+    if (slideEvent.isDefaultPrevented()) return
+
+    this.sliding = true
+
+    isCycling && this.pause()
+
+    if (this.$indicators.length) {
+      this.$indicators.find('.active').removeClass('active')
+      var $nextIndicator = $(this.$indicators.children()[this.getItemIndex($next)])
+      $nextIndicator && $nextIndicator.addClass('active')
+    }
+
+    var slidEvent = $.Event('slid.bs.carousel', { relatedTarget: relatedTarget, direction: direction }) // yes, "slid"
+    if ($.support.transition && this.$element.hasClass('slide')) {
+      $next.addClass(type)
+      if (typeof $next === 'object' && $next.length) {
+        $next[0].offsetWidth // force reflow
+      }
+      $active.addClass(direction)
+      $next.addClass(direction)
+      $active
+        .one('bsTransitionEnd', function () {
+          $next.removeClass([type, direction].join(' ')).addClass('active')
+          $active.removeClass(['active', direction].join(' '))
+          that.sliding = false
+          setTimeout(function () {
+            that.$element.trigger(slidEvent)
+          }, 0)
+        })
+        .emulateTransitionEnd(Carousel.TRANSITION_DURATION)
+    } else {
+      $active.removeClass('active')
+      $next.addClass('active')
+      this.sliding = false
+      this.$element.trigger(slidEvent)
+    }
+
+    isCycling && this.cycle()
+
+    return this
+  }
+
+
+  // CAROUSEL PLUGIN DEFINITION
+  // ==========================
+
+  function Plugin(option) {
+    return this.each(function () {
+      var $this   = $(this)
+      var data    = $this.data('bs.carousel')
+      var options = $.extend({}, Carousel.DEFAULTS, $this.data(), typeof option == 'object' && option)
+      var action  = typeof option == 'string' ? option : options.slide
+
+      if (!data) $this.data('bs.carousel', (data = new Carousel(this, options)))
+      if (typeof option == 'number') data.to(option)
+      else if (action) data[action]()
+      else if (options.interval) data.pause().cycle()
+    })
+  }
+
+  var old = $.fn.carousel
+
+  $.fn.carousel             = Plugin
+  $.fn.carousel.Constructor = Carousel
+
+
+  // CAROUSEL NO CONFLICT
+  // ====================
+
+  $.fn.carousel.noConflict = function () {
+    $.fn.carousel = old
+    return this
+  }
+
+
+  // CAROUSEL DATA-API
+  // =================
+
+  var clickHandler = function (e) {
+    var $this   = $(this)
+    var href    = $this.attr('href')
+    if (href) {
+      href = href.replace(/.*(?=#[^\s]+$)/, '') // strip for ie7
+    }
+
+    var target  = $this.attr('data-target') || href
+    var $target = $(document).find(target)
+
+    if (!$target.hasClass('carousel')) return
+
+    var options = $.extend({}, $target.data(), $this.data())
+    var slideIndex = $this.attr('data-slide-to')
+    if (slideIndex) options.interval = false
+
+    Plugin.call($target, options)
+
+    if (slideIndex) {
+      $target.data('bs.carousel').to(slideIndex)
+    }
+
+    e.preventDefault()
+  }
+
+  $(document)
+    .on('click.bs.carousel.data-api', '[data-slide]', clickHandler)
+    .on('click.bs.carousel.data-api', '[data-slide-to]', clickHandler)
+
+  $(window).on('load', function () {
+    $('[data-ride="carousel"]').each(function () {
+      var $carousel = $(this)
+      Plugin.call($carousel, $carousel.data())
+    })
+  })
+
+}(window.$jqTheme || window.jQuery);
+
+/* ========================================================================
+ * Bootstrap: collapse.js v3.4.1
+ * https://getbootstrap.com/docs/3.4/javascript/#collapse
+ * ========================================================================
+ * Copyright 2011-2019 Twitter, Inc.
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
+ * ======================================================================== */
+
+/* jshint latedef: false */
+
++function ($) {
+  'use strict';
+
+  // COLLAPSE PUBLIC CLASS DEFINITION
+  // ================================
+
+  var Collapse = function (element, options) {
+    this.$element      = $(element)
+    this.options       = $.extend({}, Collapse.DEFAULTS, options)
+    this.$trigger      = $('[data-toggle="collapse"][href="#' + element.id + '"],' +
+                           '[data-toggle="collapse"][data-target="#' + element.id + '"]')
+    this.transitioning = null
+
+    if (this.options.parent) {
+      this.$parent = this.getParent()
+    } else {
+      this.addAriaAndCollapsedClass(this.$element, this.$trigger)
+    }
+
+    if (this.options.toggle) this.toggle()
+  }
+
+  Collapse.VERSION  = '3.4.1'
+
+  Collapse.TRANSITION_DURATION = 350
+
+  Collapse.DEFAULTS = {
+    toggle: true
+  }
+
+  Collapse.prototype.dimension = function () {
+    var hasWidth = this.$element.hasClass('width')
+    return hasWidth ? 'width' : 'height'
+  }
+
+  Collapse.prototype.show = function () {
+    if (this.transitioning || this.$element.hasClass('in')) return
+
+    var activesData
+    var actives = this.$parent && this.$parent.children('.panel').children('.in, .collapsing')
+
+    if (actives && actives.length) {
+      activesData = actives.data('bs.collapse')
+      if (activesData && activesData.transitioning) return
+    }
+
+    var startEvent = $.Event('show.bs.collapse')
+    this.$element.trigger(startEvent)
+    if (startEvent.isDefaultPrevented()) return
+
+    if (actives && actives.length) {
+      Plugin.call(actives, 'hide')
+      activesData || actives.data('bs.collapse', null)
+    }
+
+    var dimension = this.dimension()
+
+    this.$element
+      .removeClass('collapse')
+      .addClass('collapsing')[dimension](0)
+      .attr('aria-expanded', true)
+
+    this.$trigger
+      .removeClass('collapsed')
+      .attr('aria-expanded', true)
+
+    this.transitioning = 1
+
+    var complete = function () {
+      this.$element
+        .removeClass('collapsing')
+        .addClass('collapse in')[dimension]('')
+      this.transitioning = 0
+      this.$element
+        .trigger('shown.bs.collapse')
+    }
+
+    if (!$.support.transition) return complete.call(this)
+
+    var scrollSize = $.camelCase(['scroll', dimension].join('-'))
+
+    this.$element
+      .one('bsTransitionEnd', $.proxy(complete, this))
+      .emulateTransitionEnd(Collapse.TRANSITION_DURATION)[dimension](this.$element[0][scrollSize])
+  }
+
+  Collapse.prototype.hide = function () {
+    if (this.transitioning || !this.$element.hasClass('in')) return
+
+    var startEvent = $.Event('hide.bs.collapse')
+    this.$element.trigger(startEvent)
+    if (startEvent.isDefaultPrevented()) return
+
+    var dimension = this.dimension()
+
+    this.$element[dimension](this.$element[dimension]())[0].offsetHeight
+
+    this.$element
+      .addClass('collapsing')
+      .removeClass('collapse in')
+      .attr('aria-expanded', false)
+
+    this.$trigger
+      .addClass('collapsed')
+      .attr('aria-expanded', false)
+
+    this.transitioning = 1
+
+    var complete = function () {
+      this.transitioning = 0
+      this.$element
+        .removeClass('collapsing')
+        .addClass('collapse')
+        .trigger('hidden.bs.collapse')
+    }
+
+    if (!$.support.transition) return complete.call(this)
+
+    this.$element
+      [dimension](0)
+      .one('bsTransitionEnd', $.proxy(complete, this))
+      .emulateTransitionEnd(Collapse.TRANSITION_DURATION)
+  }
+
+  Collapse.prototype.toggle = function () {
+    this[this.$element.hasClass('in') ? 'hide' : 'show']()
+  }
+
+  Collapse.prototype.getParent = function () {
+    return $(document).find(this.options.parent)
+      .find('[data-toggle="collapse"][data-parent="' + this.options.parent + '"]')
+      .each($.proxy(function (i, element) {
+        var $element = $(element)
+        this.addAriaAndCollapsedClass(getTargetFromTrigger($element), $element)
+      }, this))
+      .end()
+  }
+
+  Collapse.prototype.addAriaAndCollapsedClass = function ($element, $trigger) {
+    var isOpen = $element.hasClass('in')
+
+    $element.attr('aria-expanded', isOpen)
+    $trigger
+      .toggleClass('collapsed', !isOpen)
+      .attr('aria-expanded', isOpen)
+  }
+
+  function getTargetFromTrigger($trigger) {
+    var href
+    var target = $trigger.attr('data-target')
+      || (href = $trigger.attr('href')) && href.replace(/.*(?=#[^\s]+$)/, '') // strip for ie7
+
+    return $(document).find(target)
+  }
+
+
+  // COLLAPSE PLUGIN DEFINITION
+  // ==========================
+
+  function Plugin(option) {
+    return this.each(function () {
+      var $this   = $(this)
+      var data    = $this.data('bs.collapse')
+      var options = $.extend({}, Collapse.DEFAULTS, $this.data(), typeof option == 'object' && option)
+
+      if (!data && options.toggle && /show|hide/.test(option)) options.toggle = false
+      if (!data) $this.data('bs.collapse', (data = new Collapse(this, options)))
+      if (typeof option == 'string') data[option]()
+    })
+  }
+
+  var old = $.fn.collapse
+
+  $.fn.collapse             = Plugin
+  $.fn.collapse.Constructor = Collapse
+
+
+  // COLLAPSE NO CONFLICT
+  // ====================
+
+  $.fn.collapse.noConflict = function () {
+    $.fn.collapse = old
+    return this
+  }
+
+
+  // COLLAPSE DATA-API
+  // =================
+
+  $(document).on('click.bs.collapse.data-api', '[data-toggle="collapse"]', function (e) {
+    var $this   = $(this)
+
+    if (!$this.attr('data-target')) e.preventDefault()
+
+    var $target = getTargetFromTrigger($this)
+    var data    = $target.data('bs.collapse')
+    var option  = data ? 'toggle' : $this.data()
+
+    Plugin.call($target, option)
+  })
+
+}(window.$jqTheme || window.jQuery);
+
+/* ========================================================================
+ * Bootstrap: dropdown.js v3.4.1
+ * https://getbootstrap.com/docs/3.4/javascript/#dropdowns
+ * ========================================================================
+ * Copyright 2011-2019 Twitter, Inc.
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
+ * ======================================================================== */
+
+
++function ($) {
+  'use strict';
+
+  // DROPDOWN CLASS DEFINITION
+  // =========================
+
+  var backdrop = '.dropdown-backdrop'
+  var toggle   = '[data-toggle="dropdown"]'
+  var Dropdown = function (element) {
+    $(element).on('click.bs.dropdown', this.toggle)
+  }
+
+  Dropdown.VERSION = '3.4.1'
+
+  function getParent($this) {
+    var selector = $this.attr('data-target')
+
+    if (!selector) {
+      selector = $this.attr('href')
+      selector = selector && /#[A-Za-z]/.test(selector) && selector.replace(/.*(?=#[^\s]*$)/, '') // strip for ie7
+    }
+
+    var $parent = selector !== '#' ? $(document).find(selector) : null
+
+    return $parent && $parent.length ? $parent : $this.parent()
+  }
+
+  function clearMenus(e) {
+    if (e && e.which === 3) return
+    $(backdrop).remove()
+    $(toggle).each(function () {
+      var $this         = $(this)
+      var $parent       = getParent($this)
+      var relatedTarget = { relatedTarget: this }
+
+      if (!$parent.hasClass('open')) return
+
+      if (e && e.type == 'click' && /input|textarea/i.test(e.target.tagName) && $.contains($parent[0], e.target)) return
+
+      $parent.trigger(e = $.Event('hide.bs.dropdown', relatedTarget))
+
+      if (e.isDefaultPrevented()) return
+
+      $this.attr('aria-expanded', 'false')
+      $parent.removeClass('open').trigger($.Event('hidden.bs.dropdown', relatedTarget))
+    })
+  }
+
+  Dropdown.prototype.toggle = function (e) {
+    var $this = $(this)
+
+    if ($this.is('.disabled, :disabled')) return
+
+    var $parent  = getParent($this)
+    var isActive = $parent.hasClass('open')
+
+    clearMenus()
+
+    if (!isActive) {
+      if ('ontouchstart' in document.documentElement && !$parent.closest('.navbar-nav').length) {
+        // if mobile we use a backdrop because click events don't delegate
+        $(document.createElement('div'))
+          .addClass('dropdown-backdrop')
+          .insertAfter($(this))
+          .on('click', clearMenus)
+      }
+
+      var relatedTarget = { relatedTarget: this }
+      $parent.trigger(e = $.Event('show.bs.dropdown', relatedTarget))
+
+      if (e.isDefaultPrevented()) return
+
+      $this
+        .trigger('focus')
+        .attr('aria-expanded', 'true')
+
+      $parent
+        .toggleClass('open')
+        .trigger($.Event('shown.bs.dropdown', relatedTarget))
+    }
+
+    return false
+  }
+
+  Dropdown.prototype.keydown = function (e) {
+    if (!/(38|40|27|32)/.test(e.which) || /input|textarea/i.test(e.target.tagName)) return
+
+    var $this = $(this)
+
+    e.preventDefault()
+    e.stopPropagation()
+
+    if ($this.is('.disabled, :disabled')) return
+
+    var $parent  = getParent($this)
+    var isActive = $parent.hasClass('open')
+
+    if (!isActive && e.which != 27 || isActive && e.which == 27) {
+      if (e.which == 27) $parent.find(toggle).trigger('focus')
+      return $this.trigger('click')
+    }
+
+    var desc = ' li:not(.disabled):visible a'
+    var $items = $parent.find('.dropdown-menu' + desc)
+
+    if (!$items.length) return
+
+    var index = $items.index(e.target)
+
+    if (e.which == 38 && index > 0)                 index--         // up
+    if (e.which == 40 && index < $items.length - 1) index++         // down
+    if (!~index)                                    index = 0
+
+    $items.eq(index).trigger('focus')
+  }
+
+
+  // DROPDOWN PLUGIN DEFINITION
+  // ==========================
+
+  function Plugin(option) {
+    return this.each(function () {
+      var $this = $(this)
+      var data  = $this.data('bs.dropdown')
+
+      if (!data) $this.data('bs.dropdown', (data = new Dropdown(this)))
+      if (typeof option == 'string') data[option].call($this)
+    })
+  }
+
+  var old = $.fn.dropdown
+
+  $.fn.dropdown             = Plugin
+  $.fn.dropdown.Constructor = Dropdown
+
+
+  // DROPDOWN NO CONFLICT
+  // ====================
+
+  $.fn.dropdown.noConflict = function () {
+    $.fn.dropdown = old
+    return this
+  }
+
+
+  // APPLY TO STANDARD DROPDOWN ELEMENTS
+  // ===================================
+
+  $(document)
+    .on('click.bs.dropdown.data-api', clearMenus)
+    .on('click.bs.dropdown.data-api', '.dropdown form', function (e) { e.stopPropagation() })
+    .on('click.bs.dropdown.data-api', toggle, Dropdown.prototype.toggle)
+    .on('keydown.bs.dropdown.data-api', toggle, Dropdown.prototype.keydown)
+    .on('keydown.bs.dropdown.data-api', '.dropdown-menu', Dropdown.prototype.keydown)
+
+}(window.$jqTheme || window.jQuery);
+
+/* ========================================================================
+ * Bootstrap: modal.js v3.4.1
+ * https://getbootstrap.com/docs/3.4/javascript/#modals
+ * ========================================================================
+ * Copyright 2011-2019 Twitter, Inc.
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
+ * ======================================================================== */
+
+
++function ($) {
+  'use strict';
+
+  // MODAL CLASS DEFINITION
+  // ======================
+
+  var Modal = function (element, options) {
+    this.options = options
+    this.$body = $(document.body)
+    this.$element = $(element)
+    this.$dialog = this.$element.find('.modal-dialog')
+    this.$backdrop = null
+    this.isShown = null
+    this.originalBodyPad = null
+    this.scrollbarWidth = 0
+    this.ignoreBackdropClick = false
+    this.fixedContent = '.navbar-fixed-top, .navbar-fixed-bottom'
+
+    if (this.options.remote) {
+      this.$element
+        .find('.modal-content')
+        .load(this.options.remote, $.proxy(function () {
+          this.$element.trigger('loaded.bs.modal')
+        }, this))
+    }
+  }
+
+  Modal.VERSION = '3.4.1'
+
+  Modal.TRANSITION_DURATION = 300
+  Modal.BACKDROP_TRANSITION_DURATION = 150
+
+  Modal.DEFAULTS = {
+    backdrop: true,
+    keyboard: true,
+    show: true
+  }
+
+  Modal.prototype.toggle = function (_relatedTarget) {
+    return this.isShown ? this.hide() : this.show(_relatedTarget)
+  }
+
+  Modal.prototype.show = function (_relatedTarget) {
+    var that = this
+    var e = $.Event('show.bs.modal', { relatedTarget: _relatedTarget })
+
+    this.$element.trigger(e)
+
+    if (this.isShown || e.isDefaultPrevented()) return
+
+    this.isShown = true
+
+    this.checkScrollbar()
+    this.setScrollbar()
+    this.$body.addClass('modal-open')
+
+    this.escape()
+    this.resize()
+
+    this.$element.on('click.dismiss.bs.modal', '[data-dismiss="modal"]', $.proxy(this.hide, this))
+
+    this.$dialog.on('mousedown.dismiss.bs.modal', function () {
+      that.$element.one('mouseup.dismiss.bs.modal', function (e) {
+        if ($(e.target).is(that.$element)) that.ignoreBackdropClick = true
+      })
+    })
+
+    this.backdrop(function () {
+      var transition = $.support.transition && that.$element.hasClass('fade')
+
+      if (!that.$element.parent().length) {
+        that.$element.appendTo(that.$body) // don't move modals dom position
+      }
+
+      that.$element
+        .show()
+        .scrollTop(0)
+
+      that.adjustDialog()
+
+      if (transition) {
+        that.$element[0].offsetWidth // force reflow
+      }
+
+      that.$element.addClass('in')
+
+      that.enforceFocus()
+
+      var e = $.Event('shown.bs.modal', { relatedTarget: _relatedTarget })
+
+      transition ?
+        that.$dialog // wait for modal to slide in
+          .one('bsTransitionEnd', function () {
+            that.$element.trigger('focus').trigger(e)
+          })
+          .emulateTransitionEnd(Modal.TRANSITION_DURATION) :
+        that.$element.trigger('focus').trigger(e)
+    })
+  }
+
+  Modal.prototype.hide = function (e) {
+    if (e) e.preventDefault()
+
+    e = $.Event('hide.bs.modal')
+
+    this.$element.trigger(e)
+
+    if (!this.isShown || e.isDefaultPrevented()) return
+
+    this.isShown = false
+
+    this.escape()
+    this.resize()
+
+    $(document).off('focusin.bs.modal')
+
+    this.$element
+      .removeClass('in')
+      .off('click.dismiss.bs.modal')
+      .off('mouseup.dismiss.bs.modal')
+
+    this.$dialog.off('mousedown.dismiss.bs.modal')
+
+    $.support.transition && this.$element.hasClass('fade') ?
+      this.$element
+        .one('bsTransitionEnd', $.proxy(this.hideModal, this))
+        .emulateTransitionEnd(Modal.TRANSITION_DURATION) :
+      this.hideModal()
+  }
+
+  Modal.prototype.enforceFocus = function () {
+    $(document)
+      .off('focusin.bs.modal') // guard against infinite focus loop
+      .on('focusin.bs.modal', $.proxy(function (e) {
+        if (document !== e.target &&
+          this.$element[0] !== e.target &&
+          !this.$element.has(e.target).length) {
+          this.$element.trigger('focus')
+        }
+      }, this))
+  }
+
+  Modal.prototype.escape = function () {
+    if (this.isShown && this.options.keyboard) {
+      this.$element.on('keydown.dismiss.bs.modal', $.proxy(function (e) {
+        e.which == 27 && this.hide()
+      }, this))
+    } else if (!this.isShown) {
+      this.$element.off('keydown.dismiss.bs.modal')
+    }
+  }
+
+  Modal.prototype.resize = function () {
+    if (this.isShown) {
+      $(window).on('resize.bs.modal', $.proxy(this.handleUpdate, this))
+    } else {
+      $(window).off('resize.bs.modal')
+    }
+  }
+
+  Modal.prototype.hideModal = function () {
+    var that = this
+    this.$element.hide()
+    this.backdrop(function () {
+      that.$body.removeClass('modal-open')
+      that.resetAdjustments()
+      that.resetScrollbar()
+      that.$element.trigger('hidden.bs.modal')
+    })
+  }
+
+  Modal.prototype.removeBackdrop = function () {
+    this.$backdrop && this.$backdrop.remove()
+    this.$backdrop = null
+  }
+
+  Modal.prototype.backdrop = function (callback) {
+    var that = this
+    var animate = this.$element.hasClass('fade') ? 'fade' : ''
+
+    if (this.isShown && this.options.backdrop) {
+      var doAnimate = $.support.transition && animate
+
+      this.$backdrop = $(document.createElement('div'))
+        .addClass('modal-backdrop ' + animate)
+        .appendTo(this.$body)
+
+      this.$element.on('click.dismiss.bs.modal', $.proxy(function (e) {
+        if (this.ignoreBackdropClick) {
+          this.ignoreBackdropClick = false
+          return
+        }
+        if (e.target !== e.currentTarget) return
+        this.options.backdrop == 'static'
+          ? this.$element[0].focus()
+          : this.hide()
+      }, this))
+
+      if (doAnimate) this.$backdrop[0].offsetWidth // force reflow
+
+      this.$backdrop.addClass('in')
+
+      if (!callback) return
+
+      doAnimate ?
+        this.$backdrop
+          .one('bsTransitionEnd', callback)
+          .emulateTransitionEnd(Modal.BACKDROP_TRANSITION_DURATION) :
+        callback()
+
+    } else if (!this.isShown && this.$backdrop) {
+      this.$backdrop.removeClass('in')
+
+      var callbackRemove = function () {
+        that.removeBackdrop()
+        callback && callback()
+      }
+      $.support.transition && this.$element.hasClass('fade') ?
+        this.$backdrop
+          .one('bsTransitionEnd', callbackRemove)
+          .emulateTransitionEnd(Modal.BACKDROP_TRANSITION_DURATION) :
+        callbackRemove()
+
+    } else if (callback) {
+      callback()
+    }
+  }
+
+  // these following methods are used to handle overflowing modals
+
+  Modal.prototype.handleUpdate = function () {
+    this.adjustDialog()
+  }
+
+  Modal.prototype.adjustDialog = function () {
+    var modalIsOverflowing = this.$element[0].scrollHeight > document.documentElement.clientHeight
+
+    this.$element.css({
+      paddingLeft: !this.bodyIsOverflowing && modalIsOverflowing ? this.scrollbarWidth : '',
+      paddingRight: this.bodyIsOverflowing && !modalIsOverflowing ? this.scrollbarWidth : ''
+    })
+  }
+
+  Modal.prototype.resetAdjustments = function () {
+    this.$element.css({
+      paddingLeft: '',
+      paddingRight: ''
+    })
+  }
+
+  Modal.prototype.checkScrollbar = function () {
+    var fullWindowWidth = window.innerWidth
+    if (!fullWindowWidth) { // workaround for missing window.innerWidth in IE8
+      var documentElementRect = document.documentElement.getBoundingClientRect()
+      fullWindowWidth = documentElementRect.right - Math.abs(documentElementRect.left)
+    }
+    this.bodyIsOverflowing = document.body.clientWidth < fullWindowWidth
+    this.scrollbarWidth = this.measureScrollbar()
+  }
+
+  Modal.prototype.setScrollbar = function () {
+    var bodyPad = parseInt((this.$body.css('padding-right') || 0), 10)
+    this.originalBodyPad = document.body.style.paddingRight || ''
+    var scrollbarWidth = this.scrollbarWidth
+    if (this.bodyIsOverflowing) {
+      this.$body.css('padding-right', bodyPad + scrollbarWidth)
+      $(this.fixedContent).each(function (index, element) {
+        var actualPadding = element.style.paddingRight
+        var calculatedPadding = $(element).css('padding-right')
+        $(element)
+          .data('padding-right', actualPadding)
+          .css('padding-right', parseFloat(calculatedPadding) + scrollbarWidth + 'px')
+      })
+    }
+  }
+
+  Modal.prototype.resetScrollbar = function () {
+    this.$body.css('padding-right', this.originalBodyPad)
+    $(this.fixedContent).each(function (index, element) {
+      var padding = $(element).data('padding-right')
+      $(element).removeData('padding-right')
+      element.style.paddingRight = padding ? padding : ''
+    })
+  }
+
+  Modal.prototype.measureScrollbar = function () { // thx walsh
+    var scrollDiv = document.createElement('div')
+    scrollDiv.className = 'modal-scrollbar-measure'
+    this.$body.append(scrollDiv)
+    var scrollbarWidth = scrollDiv.offsetWidth - scrollDiv.clientWidth
+    this.$body[0].removeChild(scrollDiv)
+    return scrollbarWidth
+  }
+
+
+  // MODAL PLUGIN DEFINITION
+  // =======================
+
+  function Plugin(option, _relatedTarget) {
+    return this.each(function () {
+      var $this = $(this)
+      var data = $this.data('bs.modal')
+      var options = $.extend({}, Modal.DEFAULTS, $this.data(), typeof option == 'object' && option)
+
+      if (!data) $this.data('bs.modal', (data = new Modal(this, options)))
+      if (typeof option == 'string') data[option](_relatedTarget)
+      else if (options.show) data.show(_relatedTarget)
+    })
+  }
+
+  var old = $.fn.modal
+
+  $.fn.modal = Plugin
+  $.fn.modal.Constructor = Modal
+
+
+  // MODAL NO CONFLICT
+  // =================
+
+  $.fn.modal.noConflict = function () {
+    $.fn.modal = old
+    return this
+  }
+
+
+  // MODAL DATA-API
+  // ==============
+
+  $(document).on('click.bs.modal.data-api', '[data-toggle="modal"]', function (e) {
+    var $this = $(this)
+    var href = $this.attr('href')
+    var target = $this.attr('data-target') ||
+      (href && href.replace(/.*(?=#[^\s]+$)/, '')) // strip for ie7
+
+    var $target = $(document).find(target)
+    var option = $target.data('bs.modal') ? 'toggle' : $.extend({ remote: !/#/.test(href) && href }, $target.data(), $this.data())
+
+    if ($this.is('a')) e.preventDefault()
+
+    $target.one('show.bs.modal', function (showEvent) {
+      if (showEvent.isDefaultPrevented()) return // only register focus restorer if modal will actually get shown
+      $target.one('hidden.bs.modal', function () {
+        $this.is(':visible') && $this.trigger('focus')
+      })
+    })
+    Plugin.call($target, option, this)
+  })
+
+}(window.$jqTheme || window.jQuery);
+
+/* ========================================================================
+ * Bootstrap: tooltip.js v3.4.1
+ * https://getbootstrap.com/docs/3.4/javascript/#tooltip
+ * Inspired by the original jQuery.tipsy by Jason Frame
+ * ========================================================================
+ * Copyright 2011-2019 Twitter, Inc.
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
+ * ======================================================================== */
+
++function ($) {
+  'use strict';
+
+  var DISALLOWED_ATTRIBUTES = ['sanitize', 'whiteList', 'sanitizeFn']
+
+  var uriAttrs = [
+    'background',
+    'cite',
+    'href',
+    'itemtype',
+    'longdesc',
+    'poster',
+    'src',
+    'xlink:href'
+  ]
+
+  var ARIA_ATTRIBUTE_PATTERN = /^aria-[\w-]*$/i
+
+  var DefaultWhitelist = {
+    // Global attributes allowed on any supplied element below.
+    '*': ['class', 'dir', 'id', 'lang', 'role', ARIA_ATTRIBUTE_PATTERN],
+    a: ['target', 'href', 'title', 'rel'],
+    area: [],
+    b: [],
+    br: [],
+    col: [],
+    code: [],
+    div: [],
+    em: [],
+    hr: [],
+    h1: [],
+    h2: [],
+    h3: [],
+    h4: [],
+    h5: [],
+    h6: [],
+    i: [],
+    img: ['src', 'alt', 'title', 'width', 'height'],
+    li: [],
+    ol: [],
+    p: [],
+    pre: [],
+    s: [],
+    small: [],
+    span: [],
+    sub: [],
+    sup: [],
+    strong: [],
+    u: [],
+    ul: []
+  }
+
+  /**
+   * A pattern that recognizes a commonly useful subset of URLs that are safe.
+   *
+   * Shoutout to Angular 7 https://github.com/angular/angular/blob/7.2.4/packages/core/src/sanitization/url_sanitizer.ts
+   */
+  var SAFE_URL_PATTERN = /^(?:(?:https?|mailto|ftp|tel|file):|[^&:/?#]*(?:[/?#]|$))/gi
+
+  /**
+   * A pattern that matches safe data URLs. Only matches image, video and audio types.
+   *
+   * Shoutout to Angular 7 https://github.com/angular/angular/blob/7.2.4/packages/core/src/sanitization/url_sanitizer.ts
+   */
+  var DATA_URL_PATTERN = /^data:(?:image\/(?:bmp|gif|jpeg|jpg|png|tiff|webp)|video\/(?:mpeg|mp4|ogg|webm)|audio\/(?:mp3|oga|ogg|opus));base64,[a-z0-9+/]+=*$/i
+
+  function allowedAttribute(attr, allowedAttributeList) {
+    var attrName = attr.nodeName.toLowerCase()
+
+    if ($.inArray(attrName, allowedAttributeList) !== -1) {
+      if ($.inArray(attrName, uriAttrs) !== -1) {
+        return Boolean(attr.nodeValue.match(SAFE_URL_PATTERN) || attr.nodeValue.match(DATA_URL_PATTERN))
+      }
+
+      return true
+    }
+
+    var regExp = $(allowedAttributeList).filter(function (index, value) {
+      return value instanceof RegExp
+    })
+
+    // Check if a regular expression validates the attribute.
+    for (var i = 0, l = regExp.length; i < l; i++) {
+      if (attrName.match(regExp[i])) {
+        return true
+      }
+    }
+
+    return false
+  }
+
+  function sanitizeHtml(unsafeHtml, whiteList, sanitizeFn) {
+    if (unsafeHtml.length === 0) {
+      return unsafeHtml
+    }
+
+    if (sanitizeFn && typeof sanitizeFn === 'function') {
+      return sanitizeFn(unsafeHtml)
+    }
+
+    // IE 8 and below don't support createHTMLDocument
+    if (!document.implementation || !document.implementation.createHTMLDocument) {
+      return unsafeHtml
+    }
+
+    var createdDocument = document.implementation.createHTMLDocument('sanitization')
+    createdDocument.body.innerHTML = unsafeHtml
+
+    var whitelistKeys = $.map(whiteList, function (el, i) { return i })
+    var elements = $(createdDocument.body).find('*')
+
+    for (var i = 0, len = elements.length; i < len; i++) {
+      var el = elements[i]
+      var elName = el.nodeName.toLowerCase()
+
+      if ($.inArray(elName, whitelistKeys) === -1) {
+        el.parentNode.removeChild(el)
+
+        continue
+      }
+
+      var attributeList = $.map(el.attributes, function (el) { return el })
+      var whitelistedAttributes = [].concat(whiteList['*'] || [], whiteList[elName] || [])
+
+      for (var j = 0, len2 = attributeList.length; j < len2; j++) {
+        if (!allowedAttribute(attributeList[j], whitelistedAttributes)) {
+          el.removeAttribute(attributeList[j].nodeName)
+        }
+      }
+    }
+
+    return createdDocument.body.innerHTML
+  }
+
+  // TOOLTIP PUBLIC CLASS DEFINITION
+  // ===============================
+
+  var Tooltip = function (element, options) {
+    this.type       = null
+    this.options    = null
+    this.enabled    = null
+    this.timeout    = null
+    this.hoverState = null
+    this.$element   = null
+    this.inState    = null
+
+    this.init('tooltip', element, options)
+  }
+
+  Tooltip.VERSION  = '3.4.1'
+
+  Tooltip.TRANSITION_DURATION = 150
+
+  Tooltip.DEFAULTS = {
+    animation: true,
+    placement: 'top',
+    selector: false,
+    template: '<div class="tooltip" role="tooltip"><div class="tooltip-arrow"></div><div class="tooltip-inner"></div></div>',
+    trigger: 'hover focus',
+    title: '',
+    delay: 0,
+    html: false,
+    container: false,
+    viewport: {
+      selector: 'body',
+      padding: 0
+    },
+    sanitize : true,
+    sanitizeFn : null,
+    whiteList : DefaultWhitelist
+  }
+
+  Tooltip.prototype.init = function (type, element, options) {
+    this.enabled   = true
+    this.type      = type
+    this.$element  = $(element)
+    this.options   = this.getOptions(options)
+    this.$viewport = this.options.viewport && $(document).find($.isFunction(this.options.viewport) ? this.options.viewport.call(this, this.$element) : (this.options.viewport.selector || this.options.viewport))
+    this.inState   = { click: false, hover: false, focus: false }
+
+    if (this.$element[0] instanceof document.constructor && !this.options.selector) {
+      throw new Error('`selector` option must be specified when initializing ' + this.type + ' on the window.document object!')
+    }
+
+    var triggers = this.options.trigger.split(' ')
+
+    for (var i = triggers.length; i--;) {
+      var trigger = triggers[i]
+
+      if (trigger == 'click') {
+        this.$element.on('click.' + this.type, this.options.selector, $.proxy(this.toggle, this))
+      } else if (trigger != 'manual') {
+        var eventIn  = trigger == 'hover' ? 'mouseenter' : 'focusin'
+        var eventOut = trigger == 'hover' ? 'mouseleave' : 'focusout'
+
+        this.$element.on(eventIn  + '.' + this.type, this.options.selector, $.proxy(this.enter, this))
+        this.$element.on(eventOut + '.' + this.type, this.options.selector, $.proxy(this.leave, this))
+      }
+    }
+
+    this.options.selector ?
+      (this._options = $.extend({}, this.options, { trigger: 'manual', selector: '' })) :
+      this.fixTitle()
+  }
+
+  Tooltip.prototype.getDefaults = function () {
+    return Tooltip.DEFAULTS
+  }
+
+  Tooltip.prototype.getOptions = function (options) {
+    var dataAttributes = this.$element.data()
+
+    for (var dataAttr in dataAttributes) {
+      if (dataAttributes.hasOwnProperty(dataAttr) && $.inArray(dataAttr, DISALLOWED_ATTRIBUTES) !== -1) {
+        delete dataAttributes[dataAttr]
+      }
+    }
+
+    options = $.extend({}, this.getDefaults(), dataAttributes, options)
+
+    if (options.delay && typeof options.delay == 'number') {
+      options.delay = {
+        show: options.delay,
+        hide: options.delay
+      }
+    }
+
+    if (options.sanitize) {
+      options.template = sanitizeHtml(options.template, options.whiteList, options.sanitizeFn)
+    }
+
+    return options
+  }
+
+  Tooltip.prototype.getDelegateOptions = function () {
+    var options  = {}
+    var defaults = this.getDefaults()
+
+    this._options && $.each(this._options, function (key, value) {
+      if (defaults[key] != value) options[key] = value
+    })
+
+    return options
+  }
+
+  Tooltip.prototype.enter = function (obj) {
+    var self = obj instanceof this.constructor ?
+      obj : $(obj.currentTarget).data('bs.' + this.type)
+
+    if (!self) {
+      self = new this.constructor(obj.currentTarget, this.getDelegateOptions())
+      $(obj.currentTarget).data('bs.' + this.type, self)
+    }
+
+    if (obj instanceof $.Event) {
+      self.inState[obj.type == 'focusin' ? 'focus' : 'hover'] = true
+    }
+
+    if (self.tip().hasClass('in') || self.hoverState == 'in') {
+      self.hoverState = 'in'
+      return
+    }
+
+    clearTimeout(self.timeout)
+
+    self.hoverState = 'in'
+
+    if (!self.options.delay || !self.options.delay.show) return self.show()
+
+    self.timeout = setTimeout(function () {
+      if (self.hoverState == 'in') self.show()
+    }, self.options.delay.show)
+  }
+
+  Tooltip.prototype.isInStateTrue = function () {
+    for (var key in this.inState) {
+      if (this.inState[key]) return true
+    }
+
+    return false
+  }
+
+  Tooltip.prototype.leave = function (obj) {
+    var self = obj instanceof this.constructor ?
+      obj : $(obj.currentTarget).data('bs.' + this.type)
+
+    if (!self) {
+      self = new this.constructor(obj.currentTarget, this.getDelegateOptions())
+      $(obj.currentTarget).data('bs.' + this.type, self)
+    }
+
+    if (obj instanceof $.Event) {
+      self.inState[obj.type == 'focusout' ? 'focus' : 'hover'] = false
+    }
+
+    if (self.isInStateTrue()) return
+
+    clearTimeout(self.timeout)
+
+    self.hoverState = 'out'
+
+    if (!self.options.delay || !self.options.delay.hide) return self.hide()
+
+    self.timeout = setTimeout(function () {
+      if (self.hoverState == 'out') self.hide()
+    }, self.options.delay.hide)
+  }
+
+  Tooltip.prototype.show = function () {
+    var e = $.Event('show.bs.' + this.type)
+
+    if (this.hasContent() && this.enabled) {
+      this.$element.trigger(e)
+
+      var inDom = $.contains(this.$element[0].ownerDocument.documentElement, this.$element[0])
+      if (e.isDefaultPrevented() || !inDom) return
+      var that = this
+
+      var $tip = this.tip()
+
+      var tipId = this.getUID(this.type)
+
+      this.setContent()
+      $tip.attr('id', tipId)
+      this.$element.attr('aria-describedby', tipId)
+
+      if (this.options.animation) $tip.addClass('fade')
+
+      var placement = typeof this.options.placement == 'function' ?
+        this.options.placement.call(this, $tip[0], this.$element[0]) :
+        this.options.placement
+
+      var autoToken = /\s?auto?\s?/i
+      var autoPlace = autoToken.test(placement)
+      if (autoPlace) placement = placement.replace(autoToken, '') || 'top'
+
+      $tip
+        .detach()
+        .css({ top: 0, left: 0, display: 'block' })
+        .addClass(placement)
+        .data('bs.' + this.type, this)
+
+      this.options.container ? $tip.appendTo($(document).find(this.options.container)) : $tip.insertAfter(this.$element)
+      this.$element.trigger('inserted.bs.' + this.type)
+
+      var pos          = this.getPosition()
+      var actualWidth  = $tip[0].offsetWidth
+      var actualHeight = $tip[0].offsetHeight
+
+      if (autoPlace) {
+        var orgPlacement = placement
+        var viewportDim = this.getPosition(this.$viewport)
+
+        placement = placement == 'bottom' && pos.bottom + actualHeight > viewportDim.bottom ? 'top'    :
+                    placement == 'top'    && pos.top    - actualHeight < viewportDim.top    ? 'bottom' :
+                    placement == 'right'  && pos.right  + actualWidth  > viewportDim.width  ? 'left'   :
+                    placement == 'left'   && pos.left   - actualWidth  < viewportDim.left   ? 'right'  :
+                    placement
+
+        $tip
+          .removeClass(orgPlacement)
+          .addClass(placement)
+      }
+
+      var calculatedOffset = this.getCalculatedOffset(placement, pos, actualWidth, actualHeight)
+
+      this.applyPlacement(calculatedOffset, placement)
+
+      var complete = function () {
+        var prevHoverState = that.hoverState
+        that.$element.trigger('shown.bs.' + that.type)
+        that.hoverState = null
+
+        if (prevHoverState == 'out') that.leave(that)
+      }
+
+      $.support.transition && this.$tip.hasClass('fade') ?
+        $tip
+          .one('bsTransitionEnd', complete)
+          .emulateTransitionEnd(Tooltip.TRANSITION_DURATION) :
+        complete()
+    }
+  }
+
+  Tooltip.prototype.applyPlacement = function (offset, placement) {
+    var $tip   = this.tip()
+    var width  = $tip[0].offsetWidth
+    var height = $tip[0].offsetHeight
+
+    // manually read margins because getBoundingClientRect includes difference
+    var marginTop = parseInt($tip.css('margin-top'), 10)
+    var marginLeft = parseInt($tip.css('margin-left'), 10)
+
+    // we must check for NaN for ie 8/9
+    if (isNaN(marginTop))  marginTop  = 0
+    if (isNaN(marginLeft)) marginLeft = 0
+
+    offset.top  += marginTop
+    offset.left += marginLeft
+
+    // $.fn.offset doesn't round pixel values
+    // so we use setOffset directly with our own function B-0
+    $.offset.setOffset($tip[0], $.extend({
+      using: function (props) {
+        $tip.css({
+          top: Math.round(props.top),
+          left: Math.round(props.left)
+        })
+      }
+    }, offset), 0)
+
+    $tip.addClass('in')
+
+    // check to see if placing tip in new offset caused the tip to resize itself
+    var actualWidth  = $tip[0].offsetWidth
+    var actualHeight = $tip[0].offsetHeight
+
+    if (placement == 'top' && actualHeight != height) {
+      offset.top = offset.top + height - actualHeight
+    }
+
+    var delta = this.getViewportAdjustedDelta(placement, offset, actualWidth, actualHeight)
+
+    if (delta.left) offset.left += delta.left
+    else offset.top += delta.top
+
+    var isVertical          = /top|bottom/.test(placement)
+    var arrowDelta          = isVertical ? delta.left * 2 - width + actualWidth : delta.top * 2 - height + actualHeight
+    var arrowOffsetPosition = isVertical ? 'offsetWidth' : 'offsetHeight'
+
+    $tip.offset(offset)
+    this.replaceArrow(arrowDelta, $tip[0][arrowOffsetPosition], isVertical)
+  }
+
+  Tooltip.prototype.replaceArrow = function (delta, dimension, isVertical) {
+    this.arrow()
+      .css(isVertical ? 'left' : 'top', 50 * (1 - delta / dimension) + '%')
+      .css(isVertical ? 'top' : 'left', '')
+  }
+
+  Tooltip.prototype.setContent = function () {
+    var $tip  = this.tip()
+    var title = this.getTitle()
+
+    if (this.options.html) {
+      if (this.options.sanitize) {
+        title = sanitizeHtml(title, this.options.whiteList, this.options.sanitizeFn)
+      }
+
+      $tip.find('.tooltip-inner').html(title)
+    } else {
+      $tip.find('.tooltip-inner').text(title)
+    }
+
+    $tip.removeClass('fade in top bottom left right')
+  }
+
+  Tooltip.prototype.hide = function (callback) {
+    var that = this
+    var $tip = $(this.$tip)
+    var e    = $.Event('hide.bs.' + this.type)
+
+    function complete() {
+      if (that.hoverState != 'in') $tip.detach()
+      if (that.$element) { // TODO: Check whether guarding this code with this `if` is really necessary.
+        that.$element
+          .removeAttr('aria-describedby')
+          .trigger('hidden.bs.' + that.type)
+      }
+      callback && callback()
+    }
+
+    this.$element.trigger(e)
+
+    if (e.isDefaultPrevented()) return
+
+    $tip.removeClass('in')
+
+    $.support.transition && $tip.hasClass('fade') ?
+      $tip
+        .one('bsTransitionEnd', complete)
+        .emulateTransitionEnd(Tooltip.TRANSITION_DURATION) :
+      complete()
+
+    this.hoverState = null
+
+    return this
+  }
+
+  Tooltip.prototype.fixTitle = function () {
+    var $e = this.$element
+    if ($e.attr('title') || typeof $e.attr('data-original-title') != 'string') {
+      $e.attr('data-original-title', $e.attr('title') || '').attr('title', '')
+    }
+  }
+
+  Tooltip.prototype.hasContent = function () {
+    return this.getTitle()
+  }
+
+  Tooltip.prototype.getPosition = function ($element) {
+    $element   = $element || this.$element
+
+    var el     = $element[0]
+    var isBody = el.tagName == 'BODY'
+
+    var elRect    = el.getBoundingClientRect()
+    if (elRect.width == null) {
+      // width and height are missing in IE8, so compute them manually; see https://github.com/twbs/bootstrap/issues/14093
+      elRect = $.extend({}, elRect, { width: elRect.right - elRect.left, height: elRect.bottom - elRect.top })
+    }
+    var isSvg = window.SVGElement && el instanceof window.SVGElement
+    // Avoid using $.offset() on SVGs since it gives incorrect results in jQuery 3.
+    // See https://github.com/twbs/bootstrap/issues/20280
+    var elOffset  = isBody ? { top: 0, left: 0 } : (isSvg ? null : $element.offset())
+    var scroll    = { scroll: isBody ? document.documentElement.scrollTop || document.body.scrollTop : $element.scrollTop() }
+    var outerDims = isBody ? { width: $(window).width(), height: $(window).height() } : null
+
+    return $.extend({}, elRect, scroll, outerDims, elOffset)
+  }
+
+  Tooltip.prototype.getCalculatedOffset = function (placement, pos, actualWidth, actualHeight) {
+    return placement == 'bottom' ? { top: pos.top + pos.height,   left: pos.left + pos.width / 2 - actualWidth / 2 } :
+           placement == 'top'    ? { top: pos.top - actualHeight, left: pos.left + pos.width / 2 - actualWidth / 2 } :
+           placement == 'left'   ? { top: pos.top + pos.height / 2 - actualHeight / 2, left: pos.left - actualWidth } :
+        /* placement == 'right' */ { top: pos.top + pos.height / 2 - actualHeight / 2, left: pos.left + pos.width }
+
+  }
+
+  Tooltip.prototype.getViewportAdjustedDelta = function (placement, pos, actualWidth, actualHeight) {
+    var delta = { top: 0, left: 0 }
+    if (!this.$viewport) return delta
+
+    var viewportPadding = this.options.viewport && this.options.viewport.padding || 0
+    var viewportDimensions = this.getPosition(this.$viewport)
+
+    if (/right|left/.test(placement)) {
+      var topEdgeOffset    = pos.top - viewportPadding - viewportDimensions.scroll
+      var bottomEdgeOffset = pos.top + viewportPadding - viewportDimensions.scroll + actualHeight
+      if (topEdgeOffset < viewportDimensions.top) { // top overflow
+        delta.top = viewportDimensions.top - topEdgeOffset
+      } else if (bottomEdgeOffset > viewportDimensions.top + viewportDimensions.height) { // bottom overflow
+        delta.top = viewportDimensions.top + viewportDimensions.height - bottomEdgeOffset
+      }
+    } else {
+      var leftEdgeOffset  = pos.left - viewportPadding
+      var rightEdgeOffset = pos.left + viewportPadding + actualWidth
+      if (leftEdgeOffset < viewportDimensions.left) { // left overflow
+        delta.left = viewportDimensions.left - leftEdgeOffset
+      } else if (rightEdgeOffset > viewportDimensions.right) { // right overflow
+        delta.left = viewportDimensions.left + viewportDimensions.width - rightEdgeOffset
+      }
+    }
+
+    return delta
+  }
+
+  Tooltip.prototype.getTitle = function () {
+    var title
+    var $e = this.$element
+    var o  = this.options
+
+    title = $e.attr('data-original-title')
+      || (typeof o.title == 'function' ? o.title.call($e[0]) :  o.title)
+
+    return title
+  }
+
+  Tooltip.prototype.getUID = function (prefix) {
+    do prefix += ~~(Math.random() * 1000000)
+    while (document.getElementById(prefix))
+    return prefix
+  }
+
+  Tooltip.prototype.tip = function () {
+    if (!this.$tip) {
+      this.$tip = $(this.options.template)
+      if (this.$tip.length != 1) {
+        throw new Error(this.type + ' `template` option must consist of exactly 1 top-level element!')
+      }
+    }
+    return this.$tip
+  }
+
+  Tooltip.prototype.arrow = function () {
+    return (this.$arrow = this.$arrow || this.tip().find('.tooltip-arrow'))
+  }
+
+  Tooltip.prototype.enable = function () {
+    this.enabled = true
+  }
+
+  Tooltip.prototype.disable = function () {
+    this.enabled = false
+  }
+
+  Tooltip.prototype.toggleEnabled = function () {
+    this.enabled = !this.enabled
+  }
+
+  Tooltip.prototype.toggle = function (e) {
+    var self = this
+    if (e) {
+      self = $(e.currentTarget).data('bs.' + this.type)
+      if (!self) {
+        self = new this.constructor(e.currentTarget, this.getDelegateOptions())
+        $(e.currentTarget).data('bs.' + this.type, self)
+      }
+    }
+
+    if (e) {
+      self.inState.click = !self.inState.click
+      if (self.isInStateTrue()) self.enter(self)
+      else self.leave(self)
+    } else {
+      self.tip().hasClass('in') ? self.leave(self) : self.enter(self)
+    }
+  }
+
+  Tooltip.prototype.destroy = function () {
+    var that = this
+    clearTimeout(this.timeout)
+    this.hide(function () {
+      that.$element.off('.' + that.type).removeData('bs.' + that.type)
+      if (that.$tip) {
+        that.$tip.detach()
+      }
+      that.$tip = null
+      that.$arrow = null
+      that.$viewport = null
+      that.$element = null
+    })
+  }
+
+  Tooltip.prototype.sanitizeHtml = function (unsafeHtml) {
+    return sanitizeHtml(unsafeHtml, this.options.whiteList, this.options.sanitizeFn)
+  }
+
+  // TOOLTIP PLUGIN DEFINITION
+  // =========================
+
+  function Plugin(option) {
+    return this.each(function () {
+      var $this   = $(this)
+      var data    = $this.data('bs.tooltip')
+      var options = typeof option == 'object' && option
+
+      if (!data && /destroy|hide/.test(option)) return
+      if (!data) $this.data('bs.tooltip', (data = new Tooltip(this, options)))
+      if (typeof option == 'string') data[option]()
+    })
+  }
+
+  var old = $.fn.tooltip
+
+  $.fn.tooltip             = Plugin
+  $.fn.tooltip.Constructor = Tooltip
+
+
+  // TOOLTIP NO CONFLICT
+  // ===================
+
+  $.fn.tooltip.noConflict = function () {
+    $.fn.tooltip = old
+    return this
+  }
+
+}(window.$jqTheme || window.jQuery);
+
+/* ========================================================================
+ * Bootstrap: popover.js v3.4.1
+ * https://getbootstrap.com/docs/3.4/javascript/#popovers
+ * ========================================================================
+ * Copyright 2011-2019 Twitter, Inc.
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
+ * ======================================================================== */
+
+
++function ($) {
+  'use strict';
+
+  // POPOVER PUBLIC CLASS DEFINITION
+  // ===============================
+
+  var Popover = function (element, options) {
+    this.init('popover', element, options)
+  }
+
+  if (!$.fn.tooltip) throw new Error('Popover requires tooltip.js')
+
+  Popover.VERSION  = '3.4.1'
+
+  Popover.DEFAULTS = $.extend({}, $.fn.tooltip.Constructor.DEFAULTS, {
+    placement: 'right',
+    trigger: 'click',
+    content: '',
+    template: '<div class="popover" role="tooltip"><div class="arrow"></div><h3 class="popover-title"></h3><div class="popover-content"></div></div>'
+  })
+
+
+  // NOTE: POPOVER EXTENDS tooltip.js
+  // ================================
+
+  Popover.prototype = $.extend({}, $.fn.tooltip.Constructor.prototype)
+
+  Popover.prototype.constructor = Popover
+
+  Popover.prototype.getDefaults = function () {
+    return Popover.DEFAULTS
+  }
+
+  Popover.prototype.setContent = function () {
+    var $tip    = this.tip()
+    var title   = this.getTitle()
+    var content = this.getContent()
+
+    if (this.options.html) {
+      var typeContent = typeof content
+
+      if (this.options.sanitize) {
+        title = this.sanitizeHtml(title)
+
+        if (typeContent === 'string') {
+          content = this.sanitizeHtml(content)
+        }
+      }
+
+      $tip.find('.popover-title').html(title)
+      $tip.find('.popover-content').children().detach().end()[
+        typeContent === 'string' ? 'html' : 'append'
+      ](content)
+    } else {
+      $tip.find('.popover-title').text(title)
+      $tip.find('.popover-content').children().detach().end().text(content)
+    }
+
+    $tip.removeClass('fade top bottom left right in')
+
+    // IE8 doesn't accept hiding via the `:empty` pseudo selector, we have to do
+    // this manually by checking the contents.
+    if (!$tip.find('.popover-title').html()) $tip.find('.popover-title').hide()
+  }
+
+  Popover.prototype.hasContent = function () {
+    return this.getTitle() || this.getContent()
+  }
+
+  Popover.prototype.getContent = function () {
+    var $e = this.$element
+    var o  = this.options
+
+    return $e.attr('data-content')
+      || (typeof o.content == 'function' ?
+        o.content.call($e[0]) :
+        o.content)
+  }
+
+  Popover.prototype.arrow = function () {
+    return (this.$arrow = this.$arrow || this.tip().find('.arrow'))
+  }
+
+
+  // POPOVER PLUGIN DEFINITION
+  // =========================
+
+  function Plugin(option) {
+    return this.each(function () {
+      var $this   = $(this)
+      var data    = $this.data('bs.popover')
+      var options = typeof option == 'object' && option
+
+      if (!data && /destroy|hide/.test(option)) return
+      if (!data) $this.data('bs.popover', (data = new Popover(this, options)))
+      if (typeof option == 'string') data[option]()
+    })
+  }
+
+  var old = $.fn.popover
+
+  $.fn.popover             = Plugin
+  $.fn.popover.Constructor = Popover
+
+
+  // POPOVER NO CONFLICT
+  // ===================
+
+  $.fn.popover.noConflict = function () {
+    $.fn.popover = old
+    return this
+  }
+
+}(window.$jqTheme || window.jQuery);
+
+/* ========================================================================
+ * Bootstrap: scrollspy.js v3.4.1
+ * https://getbootstrap.com/docs/3.4/javascript/#scrollspy
+ * ========================================================================
+ * Copyright 2011-2019 Twitter, Inc.
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
+ * ======================================================================== */
+
+
++function ($) {
+  'use strict';
+
+  // SCROLLSPY CLASS DEFINITION
+  // ==========================
+
+  function ScrollSpy(element, options) {
+    this.$body          = $(document.body)
+    this.$scrollElement = $(element).is(document.body) ? $(window) : $(element)
+    this.options        = $.extend({}, ScrollSpy.DEFAULTS, options)
+    this.selector       = (this.options.target || '') + ' .nav li > a'
+    this.offsets        = []
+    this.targets        = []
+    this.activeTarget   = null
+    this.scrollHeight   = 0
+
+    this.$scrollElement.on('scroll.bs.scrollspy', $.proxy(this.process, this))
+    this.refresh()
+    this.process()
+  }
+
+  ScrollSpy.VERSION  = '3.4.1'
+
+  ScrollSpy.DEFAULTS = {
+    offset: 10
+  }
+
+  ScrollSpy.prototype.getScrollHeight = function () {
+    return this.$scrollElement[0].scrollHeight || Math.max(this.$body[0].scrollHeight, document.documentElement.scrollHeight)
+  }
+
+  ScrollSpy.prototype.refresh = function () {
+    var that          = this
+    var offsetMethod  = 'offset'
+    var offsetBase    = 0
+
+    this.offsets      = []
+    this.targets      = []
+    this.scrollHeight = this.getScrollHeight()
+
+    if (!$.isWindow(this.$scrollElement[0])) {
+      offsetMethod = 'position'
+      offsetBase   = this.$scrollElement.scrollTop()
+    }
+
+    this.$body
+      .find(this.selector)
+      .map(function () {
+        var $el   = $(this)
+        var href  = $el.data('target') || $el.attr('href')
+        var $href = /^#./.test(href) && $(href)
+
+        return ($href
+          && $href.length
+          && $href.is(':visible')
+          && [[$href[offsetMethod]().top + offsetBase, href]]) || null
+      })
+      .sort(function (a, b) { return a[0] - b[0] })
+      .each(function () {
+        that.offsets.push(this[0])
+        that.targets.push(this[1])
+      })
+  }
+
+  ScrollSpy.prototype.process = function () {
+    var scrollTop    = this.$scrollElement.scrollTop() + this.options.offset
+    var scrollHeight = this.getScrollHeight()
+    var maxScroll    = this.options.offset + scrollHeight - this.$scrollElement.height()
+    var offsets      = this.offsets
+    var targets      = this.targets
+    var activeTarget = this.activeTarget
+    var i
+
+    if (this.scrollHeight != scrollHeight) {
+      this.refresh()
+    }
+
+    if (scrollTop >= maxScroll) {
+      return activeTarget != (i = targets[targets.length - 1]) && this.activate(i)
+    }
+
+    if (activeTarget && scrollTop < offsets[0]) {
+      this.activeTarget = null
+      return this.clear()
+    }
+
+    for (i = offsets.length; i--;) {
+      activeTarget != targets[i]
+        && scrollTop >= offsets[i]
+        && (offsets[i + 1] === undefined || scrollTop < offsets[i + 1])
+        && this.activate(targets[i])
+    }
+  }
+
+  ScrollSpy.prototype.activate = function (target) {
+    this.activeTarget = target
+
+    this.clear()
+
+    var selector = this.selector +
+      '[data-target="' + target + '"],' +
+      this.selector + '[href="' + target + '"]'
+
+    var active = $(selector)
+      .parents('li')
+      .addClass('active')
+
+    if (active.parent('.dropdown-menu').length) {
+      active = active
+        .closest('li.dropdown')
+        .addClass('active')
+    }
+
+    active.trigger('activate.bs.scrollspy')
+  }
+
+  ScrollSpy.prototype.clear = function () {
+    $(this.selector)
+      .parentsUntil(this.options.target, '.active')
+      .removeClass('active')
+  }
+
+
+  // SCROLLSPY PLUGIN DEFINITION
+  // ===========================
+
+  function Plugin(option) {
+    return this.each(function () {
+      var $this   = $(this)
+      var data    = $this.data('bs.scrollspy')
+      var options = typeof option == 'object' && option
+
+      if (!data) $this.data('bs.scrollspy', (data = new ScrollSpy(this, options)))
+      if (typeof option == 'string') data[option]()
+    })
+  }
+
+  var old = $.fn.scrollspy
+
+  $.fn.scrollspy             = Plugin
+  $.fn.scrollspy.Constructor = ScrollSpy
+
+
+  // SCROLLSPY NO CONFLICT
+  // =====================
+
+  $.fn.scrollspy.noConflict = function () {
+    $.fn.scrollspy = old
+    return this
+  }
+
+
+  // SCROLLSPY DATA-API
+  // ==================
+
+  $(window).on('load.bs.scrollspy.data-api', function () {
+    $('[data-spy="scroll"]').each(function () {
+      var $spy = $(this)
+      Plugin.call($spy, $spy.data())
+    })
+  })
+
+}(window.$jqTheme || window.jQuery);
+
+/* ========================================================================
+ * Bootstrap: tab.js v3.4.1
+ * https://getbootstrap.com/docs/3.4/javascript/#tabs
+ * ========================================================================
+ * Copyright 2011-2019 Twitter, Inc.
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
+ * ======================================================================== */
+
+
++function ($) {
+  'use strict';
+
+  // TAB CLASS DEFINITION
+  // ====================
+
+  var Tab = function (element) {
+    // jscs:disable requireDollarBeforejQueryAssignment
+    this.element = $(element)
+    // jscs:enable requireDollarBeforejQueryAssignment
+  }
+
+  Tab.VERSION = '3.4.1'
+
+  Tab.TRANSITION_DURATION = 150
+
+  Tab.prototype.show = function () {
+    var $this    = this.element
+    var $ul      = $this.closest('ul:not(.dropdown-menu)')
+    var selector = $this.data('target')
+
+    if (!selector) {
+      selector = $this.attr('href')
+      selector = selector && selector.replace(/.*(?=#[^\s]*$)/, '') // strip for ie7
+    }
+
+    if ($this.parent('li').hasClass('active')) return
+
+    var $previous = $ul.find('.active:last a')
+    var hideEvent = $.Event('hide.bs.tab', {
+      relatedTarget: $this[0]
+    })
+    var showEvent = $.Event('show.bs.tab', {
+      relatedTarget: $previous[0]
+    })
+
+    $previous.trigger(hideEvent)
+    $this.trigger(showEvent)
+
+    if (showEvent.isDefaultPrevented() || hideEvent.isDefaultPrevented()) return
+
+    var $target = $(document).find(selector)
+
+    this.activate($this.closest('li'), $ul)
+    this.activate($target, $target.parent(), function () {
+      $previous.trigger({
+        type: 'hidden.bs.tab',
+        relatedTarget: $this[0]
+      })
+      $this.trigger({
+        type: 'shown.bs.tab',
+        relatedTarget: $previous[0]
+      })
+    })
+  }
+
+  Tab.prototype.activate = function (element, container, callback) {
+    var $active    = container.find('> .active')
+    var transition = callback
+      && $.support.transition
+      && ($active.length && $active.hasClass('fade') || !!container.find('> .fade').length)
+
+    function next() {
+      $active
+        .removeClass('active')
+        .find('> .dropdown-menu > .active')
+        .removeClass('active')
+        .end()
+        .find('[data-toggle="tab"]')
+        .attr('aria-expanded', false)
+
+      element
+        .addClass('active')
+        .find('[data-toggle="tab"]')
+        .attr('aria-expanded', true)
+
+      if (transition) {
+        element[0].offsetWidth // reflow for transition
+        element.addClass('in')
+      } else {
+        element.removeClass('fade')
+      }
+
+      if (element.parent('.dropdown-menu').length) {
+        element
+          .closest('li.dropdown')
+          .addClass('active')
+          .end()
+          .find('[data-toggle="tab"]')
+          .attr('aria-expanded', true)
+      }
+
+      callback && callback()
+    }
+
+    $active.length && transition ?
+      $active
+        .one('bsTransitionEnd', next)
+        .emulateTransitionEnd(Tab.TRANSITION_DURATION) :
+      next()
+
+    $active.removeClass('in')
+  }
+
+
+  // TAB PLUGIN DEFINITION
+  // =====================
+
+  function Plugin(option) {
+    return this.each(function () {
+      var $this = $(this)
+      var data  = $this.data('bs.tab')
+
+      if (!data) $this.data('bs.tab', (data = new Tab(this)))
+      if (typeof option == 'string') data[option]()
+    })
+  }
+
+  var old = $.fn.tab
+
+  $.fn.tab             = Plugin
+  $.fn.tab.Constructor = Tab
+
+
+  // TAB NO CONFLICT
+  // ===============
+
+  $.fn.tab.noConflict = function () {
+    $.fn.tab = old
+    return this
+  }
+
+
+  // TAB DATA-API
+  // ============
+
+  var clickHandler = function (e) {
+    e.preventDefault()
+    Plugin.call($(this), 'show')
+  }
+
+  $(document)
+    .on('click.bs.tab.data-api', '[data-toggle="tab"]', clickHandler)
+    .on('click.bs.tab.data-api', '[data-toggle="pill"]', clickHandler)
+
+}(window.$jqTheme || window.jQuery);
+
+/* ========================================================================
+ * Bootstrap: affix.js v3.4.1
+ * https://getbootstrap.com/docs/3.4/javascript/#affix
+ * ========================================================================
+ * Copyright 2011-2019 Twitter, Inc.
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
+ * ======================================================================== */
+
+
++function ($) {
+  'use strict';
+
+  // AFFIX CLASS DEFINITION
+  // ======================
+
+  var Affix = function (element, options) {
+    this.options = $.extend({}, Affix.DEFAULTS, options)
+
+    var target = this.options.target === Affix.DEFAULTS.target ? $(this.options.target) : $(document).find(this.options.target)
+
+    this.$target = target
+      .on('scroll.bs.affix.data-api', $.proxy(this.checkPosition, this))
+      .on('click.bs.affix.data-api',  $.proxy(this.checkPositionWithEventLoop, this))
+
+    this.$element     = $(element)
+    this.affixed      = null
+    this.unpin        = null
+    this.pinnedOffset = null
+
+    this.checkPosition()
+  }
+
+  Affix.VERSION  = '3.4.1'
+
+  Affix.RESET    = 'affix affix-top affix-bottom'
+
+  Affix.DEFAULTS = {
+    offset: 0,
+    target: window
+  }
+
+  Affix.prototype.getState = function (scrollHeight, height, offsetTop, offsetBottom) {
+    var scrollTop    = this.$target.scrollTop()
+    var position     = this.$element.offset()
+    var targetHeight = this.$target.height()
+
+    if (offsetTop != null && this.affixed == 'top') return scrollTop < offsetTop ? 'top' : false
+
+    if (this.affixed == 'bottom') {
+      if (offsetTop != null) return (scrollTop + this.unpin <= position.top) ? false : 'bottom'
+      return (scrollTop + targetHeight <= scrollHeight - offsetBottom) ? false : 'bottom'
+    }
+
+    var initializing   = this.affixed == null
+    var colliderTop    = initializing ? scrollTop : position.top
+    var colliderHeight = initializing ? targetHeight : height
+
+    if (offsetTop != null && scrollTop <= offsetTop) return 'top'
+    if (offsetBottom != null && (colliderTop + colliderHeight >= scrollHeight - offsetBottom)) return 'bottom'
+
+    return false
+  }
+
+  Affix.prototype.getPinnedOffset = function () {
+    if (this.pinnedOffset) return this.pinnedOffset
+    this.$element.removeClass(Affix.RESET).addClass('affix')
+    var scrollTop = this.$target.scrollTop()
+    var position  = this.$element.offset()
+    return (this.pinnedOffset = position.top - scrollTop)
+  }
+
+  Affix.prototype.checkPositionWithEventLoop = function () {
+    setTimeout($.proxy(this.checkPosition, this), 1)
+  }
+
+  Affix.prototype.checkPosition = function () {
+    if (!this.$element.is(':visible')) return
+
+    var height       = this.$element.height()
+    var offset       = this.options.offset
+    var offsetTop    = offset.top
+    var offsetBottom = offset.bottom
+    var scrollHeight = Math.max($(document).height(), $(document.body).height())
+
+    if (typeof offset != 'object')         offsetBottom = offsetTop = offset
+    if (typeof offsetTop == 'function')    offsetTop    = offset.top(this.$element)
+    if (typeof offsetBottom == 'function') offsetBottom = offset.bottom(this.$element)
+
+    var affix = this.getState(scrollHeight, height, offsetTop, offsetBottom)
+
+    if (this.affixed != affix) {
+      if (this.unpin != null) this.$element.css('top', '')
+
+      var affixType = 'affix' + (affix ? '-' + affix : '')
+      var e         = $.Event(affixType + '.bs.affix')
+
+      this.$element.trigger(e)
+
+      if (e.isDefaultPrevented()) return
+
+      this.affixed = affix
+      this.unpin = affix == 'bottom' ? this.getPinnedOffset() : null
+
+      this.$element
+        .removeClass(Affix.RESET)
+        .addClass(affixType)
+        .trigger(affixType.replace('affix', 'affixed') + '.bs.affix')
+    }
+
+    if (affix == 'bottom') {
+      this.$element.offset({
+        top: scrollHeight - height - offsetBottom
+      })
+    }
+  }
+
+
+  // AFFIX PLUGIN DEFINITION
+  // =======================
+
+  function Plugin(option) {
+    return this.each(function () {
+      var $this   = $(this)
+      var data    = $this.data('bs.affix')
+      var options = typeof option == 'object' && option
+
+      if (!data) $this.data('bs.affix', (data = new Affix(this, options)))
+      if (typeof option == 'string') data[option]()
+    })
+  }
+
+  var old = $.fn.affix
+
+  $.fn.affix             = Plugin
+  $.fn.affix.Constructor = Affix
+
+
+  // AFFIX NO CONFLICT
+  // =================
+
+  $.fn.affix.noConflict = function () {
+    $.fn.affix = old
+    return this
+  }
+
+
+  // AFFIX DATA-API
+  // ==============
+
+  $(window).on('load', function () {
+    $('[data-spy="affix"]').each(function () {
+      var $spy = $(this)
+      var data = $spy.data()
+
+      data.offset = data.offset || {}
+
+      if (data.offsetBottom != null) data.offset.bottom = data.offsetBottom
+      if (data.offsetTop    != null) data.offset.top    = data.offsetTop
+
+      Plugin.call($spy, data)
+    })
+  })
+
+}(window.$jqTheme || window.jQuery);
diff --git a/trackpy/v0.6.2/_static/bootstrap-3.4.1/js/bootstrap.min.js b/trackpy/v0.6.2/_static/bootstrap-3.4.1/js/bootstrap.min.js
new file mode 100644
index 00000000..a5df1aca
--- /dev/null
+++ b/trackpy/v0.6.2/_static/bootstrap-3.4.1/js/bootstrap.min.js
@@ -0,0 +1,6 @@
+/*!
+ * Bootstrap v3.4.1 (https://getbootstrap.com/)
+ * Copyright 2011-2019 Twitter, Inc.
+ * Licensed under the MIT license
+ */
+if("undefined"==typeof (window.$jqTheme || window.jQuery))throw new Error("Bootstrap's JavaScript requires jQuery");!function(t){"use strict";var e=jQuery.fn.jquery.split(" ")[0].split(".");if(e[0]<2&&e[1]<9||1==e[0]&&9==e[1]&&e[2]<1||3<e[0])throw new Error("Bootstrap's JavaScript requires jQuery version 1.9.1 or higher, but lower than version 4")}(),function(n){"use strict";n.fn.emulateTransitionEnd=function(t){var e=!1,i=this;n(this).one("bsTransitionEnd",function(){e=!0});return setTimeout(function(){e||n(i).trigger(n.support.transition.end)},t),this},n(function(){n.support.transition=function o(){var t=document.createElement("bootstrap"),e={WebkitTransition:"webkitTransitionEnd",MozTransition:"transitionend",OTransition:"oTransitionEnd otransitionend",transition:"transitionend"};for(var i in e)if(t.style[i]!==undefined)return{end:e[i]};return!1}(),n.support.transition&&(n.event.special.bsTransitionEnd={bindType:n.support.transition.end,delegateType:n.support.transition.end,handle:function(t){if(n(t.target).is(this))return t.handleObj.handler.apply(this,arguments)}})})}(window.$jqTheme || window.jQuery),function(s){"use strict";var e='[data-dismiss="alert"]',a=function(t){s(t).on("click",e,this.close)};a.VERSION="3.4.1",a.TRANSITION_DURATION=150,a.prototype.close=function(t){var e=s(this),i=e.attr("data-target");i||(i=(i=e.attr("href"))&&i.replace(/.*(?=#[^\s]*$)/,"")),i="#"===i?[]:i;var o=s(document).find(i);function n(){o.detach().trigger("closed.bs.alert").remove()}t&&t.preventDefault(),o.length||(o=e.closest(".alert")),o.trigger(t=s.Event("close.bs.alert")),t.isDefaultPrevented()||(o.removeClass("in"),s.support.transition&&o.hasClass("fade")?o.one("bsTransitionEnd",n).emulateTransitionEnd(a.TRANSITION_DURATION):n())};var t=s.fn.alert;s.fn.alert=function o(i){return this.each(function(){var t=s(this),e=t.data("bs.alert");e||t.data("bs.alert",e=new a(this)),"string"==typeof i&&e[i].call(t)})},s.fn.alert.Constructor=a,s.fn.alert.noConflict=function(){return s.fn.alert=t,this},s(document).on("click.bs.alert.data-api",e,a.prototype.close)}(window.$jqTheme || window.jQuery),function(s){"use strict";var n=function(t,e){this.$element=s(t),this.options=s.extend({},n.DEFAULTS,e),this.isLoading=!1};function i(o){return this.each(function(){var t=s(this),e=t.data("bs.button"),i="object"==typeof o&&o;e||t.data("bs.button",e=new n(this,i)),"toggle"==o?e.toggle():o&&e.setState(o)})}n.VERSION="3.4.1",n.DEFAULTS={loadingText:"loading..."},n.prototype.setState=function(t){var e="disabled",i=this.$element,o=i.is("input")?"val":"html",n=i.data();t+="Text",null==n.resetText&&i.data("resetText",i[o]()),setTimeout(s.proxy(function(){i[o](null==n[t]?this.options[t]:n[t]),"loadingText"==t?(this.isLoading=!0,i.addClass(e).attr(e,e).prop(e,!0)):this.isLoading&&(this.isLoading=!1,i.removeClass(e).removeAttr(e).prop(e,!1))},this),0)},n.prototype.toggle=function(){var t=!0,e=this.$element.closest('[data-toggle="buttons"]');if(e.length){var i=this.$element.find("input");"radio"==i.prop("type")?(i.prop("checked")&&(t=!1),e.find(".active").removeClass("active"),this.$element.addClass("active")):"checkbox"==i.prop("type")&&(i.prop("checked")!==this.$element.hasClass("active")&&(t=!1),this.$element.toggleClass("active")),i.prop("checked",this.$element.hasClass("active")),t&&i.trigger("change")}else this.$element.attr("aria-pressed",!this.$element.hasClass("active")),this.$element.toggleClass("active")};var t=s.fn.button;s.fn.button=i,s.fn.button.Constructor=n,s.fn.button.noConflict=function(){return s.fn.button=t,this},s(document).on("click.bs.button.data-api",'[data-toggle^="button"]',function(t){var e=s(t.target).closest(".btn");i.call(e,"toggle"),s(t.target).is('input[type="radio"], input[type="checkbox"]')||(t.preventDefault(),e.is("input,button")?e.trigger("focus"):e.find("input:visible,button:visible").first().trigger("focus"))}).on("focus.bs.button.data-api blur.bs.button.data-api",'[data-toggle^="button"]',function(t){s(t.target).closest(".btn").toggleClass("focus",/^focus(in)?$/.test(t.type))})}(window.$jqTheme || window.jQuery),function(p){"use strict";var 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t=this;clearTimeout(this.timeout),this.hide(function(){t.$element.off("."+t.type).removeData("bs."+t.type),t.$tip&&t.$tip.detach(),t.$tip=null,t.$arrow=null,t.$viewport=null,t.$element=null})},m.prototype.sanitizeHtml=function(t){return n(t,this.options.whiteList,this.options.sanitizeFn)};var e=g.fn.tooltip;g.fn.tooltip=function i(o){return this.each(function(){var t=g(this),e=t.data("bs.tooltip"),i="object"==typeof o&&o;!e&&/destroy|hide/.test(o)||(e||t.data("bs.tooltip",e=new m(this,i)),"string"==typeof o&&e[o]())})},g.fn.tooltip.Constructor=m,g.fn.tooltip.noConflict=function(){return g.fn.tooltip=e,this}}(window.$jqTheme || window.jQuery),function(n){"use strict";var s=function(t,e){this.init("popover",t,e)};if(!n.fn.tooltip)throw new Error("Popover requires tooltip.js");s.VERSION="3.4.1",s.DEFAULTS=n.extend({},n.fn.tooltip.Constructor.DEFAULTS,{placement:"right",trigger:"click",content:"",template:'<div class="popover" role="tooltip"><div class="arrow"></div><h3 class="popover-title"></h3><div class="popover-content"></div></div>'}),((s.prototype=n.extend({},n.fn.tooltip.Constructor.prototype)).constructor=s).prototype.getDefaults=function(){return s.DEFAULTS},s.prototype.setContent=function(){var t=this.tip(),e=this.getTitle(),i=this.getContent();if(this.options.html){var o=typeof i;this.options.sanitize&&(e=this.sanitizeHtml(e),"string"===o&&(i=this.sanitizeHtml(i))),t.find(".popover-title").html(e),t.find(".popover-content").children().detach().end()["string"===o?"html":"append"](i)}else t.find(".popover-title").text(e),t.find(".popover-content").children().detach().end().text(i);t.removeClass("fade top bottom left right in"),t.find(".popover-title").html()||t.find(".popover-title").hide()},s.prototype.hasContent=function(){return this.getTitle()||this.getContent()},s.prototype.getContent=function(){var t=this.$element,e=this.options;return t.attr("data-content")||("function"==typeof e.content?e.content.call(t[0]):e.content)},s.prototype.arrow=function(){return this.$arrow=this.$arrow||this.tip().find(".arrow")};var t=n.fn.popover;n.fn.popover=function e(o){return this.each(function(){var t=n(this),e=t.data("bs.popover"),i="object"==typeof o&&o;!e&&/destroy|hide/.test(o)||(e||t.data("bs.popover",e=new s(this,i)),"string"==typeof o&&e[o]())})},n.fn.popover.Constructor=s,n.fn.popover.noConflict=function(){return n.fn.popover=t,this}}(window.$jqTheme || window.jQuery),function(s){"use strict";function n(t,e){this.$body=s(document.body),this.$scrollElement=s(t).is(document.body)?s(window):s(t),this.options=s.extend({},n.DEFAULTS,e),this.selector=(this.options.target||"")+" .nav li > a",this.offsets=[],this.targets=[],this.activeTarget=null,this.scrollHeight=0,this.$scrollElement.on("scroll.bs.scrollspy",s.proxy(this.process,this)),this.refresh(),this.process()}function e(o){return this.each(function(){var t=s(this),e=t.data("bs.scrollspy"),i="object"==typeof o&&o;e||t.data("bs.scrollspy",e=new n(this,i)),"string"==typeof o&&e[o]()})}n.VERSION="3.4.1",n.DEFAULTS={offset:10},n.prototype.getScrollHeight=function(){return this.$scrollElement[0].scrollHeight||Math.max(this.$body[0].scrollHeight,document.documentElement.scrollHeight)},n.prototype.refresh=function(){var t=this,o="offset",n=0;this.offsets=[],this.targets=[],this.scrollHeight=this.getScrollHeight(),s.isWindow(this.$scrollElement[0])||(o="position",n=this.$scrollElement.scrollTop()),this.$body.find(this.selector).map(function(){var t=s(this),e=t.data("target")||t.attr("href"),i=/^#./.test(e)&&s(e);return i&&i.length&&i.is(":visible")&&[[i[o]().top+n,e]]||null}).sort(function(t,e){return t[0]-e[0]}).each(function(){t.offsets.push(this[0]),t.targets.push(this[1])})},n.prototype.process=function(){var t,e=this.$scrollElement.scrollTop()+this.options.offset,i=this.getScrollHeight(),o=this.options.offset+i-this.$scrollElement.height(),n=this.offsets,s=this.targets,a=this.activeTarget;if(this.scrollHeight!=i&&this.refresh(),o<=e)return a!=(t=s[s.length-1])&&this.activate(t);if(a&&e<n[0])return this.activeTarget=null,this.clear();for(t=n.length;t--;)a!=s[t]&&e>=n[t]&&(n[t+1]===undefined||e<n[t+1])&&this.activate(s[t])},n.prototype.activate=function(t){this.activeTarget=t,this.clear();var e=this.selector+'[data-target="'+t+'"],'+this.selector+'[href="'+t+'"]',i=s(e).parents("li").addClass("active");i.parent(".dropdown-menu").length&&(i=i.closest("li.dropdown").addClass("active")),i.trigger("activate.bs.scrollspy")},n.prototype.clear=function(){s(this.selector).parentsUntil(this.options.target,".active").removeClass("active")};var t=s.fn.scrollspy;s.fn.scrollspy=e,s.fn.scrollspy.Constructor=n,s.fn.scrollspy.noConflict=function(){return s.fn.scrollspy=t,this},s(window).on("load.bs.scrollspy.data-api",function(){s('[data-spy="scroll"]').each(function(){var t=s(this);e.call(t,t.data())})})}(window.$jqTheme || window.jQuery),function(r){"use strict";var a=function(t){this.element=r(t)};function e(i){return this.each(function(){var t=r(this),e=t.data("bs.tab");e||t.data("bs.tab",e=new a(this)),"string"==typeof i&&e[i]()})}a.VERSION="3.4.1",a.TRANSITION_DURATION=150,a.prototype.show=function(){var t=this.element,e=t.closest("ul:not(.dropdown-menu)"),i=t.data("target");if(i||(i=(i=t.attr("href"))&&i.replace(/.*(?=#[^\s]*$)/,"")),!t.parent("li").hasClass("active")){var o=e.find(".active:last a"),n=r.Event("hide.bs.tab",{relatedTarget:t[0]}),s=r.Event("show.bs.tab",{relatedTarget:o[0]});if(o.trigger(n),t.trigger(s),!s.isDefaultPrevented()&&!n.isDefaultPrevented()){var a=r(document).find(i);this.activate(t.closest("li"),e),this.activate(a,a.parent(),function(){o.trigger({type:"hidden.bs.tab",relatedTarget:t[0]}),t.trigger({type:"shown.bs.tab",relatedTarget:o[0]})})}}},a.prototype.activate=function(t,e,i){var o=e.find("> .active"),n=i&&r.support.transition&&(o.length&&o.hasClass("fade")||!!e.find("> .fade").length);function s(){o.removeClass("active").find("> .dropdown-menu > .active").removeClass("active").end().find('[data-toggle="tab"]').attr("aria-expanded",!1),t.addClass("active").find('[data-toggle="tab"]').attr("aria-expanded",!0),n?(t[0].offsetWidth,t.addClass("in")):t.removeClass("fade"),t.parent(".dropdown-menu").length&&t.closest("li.dropdown").addClass("active").end().find('[data-toggle="tab"]').attr("aria-expanded",!0),i&&i()}o.length&&n?o.one("bsTransitionEnd",s).emulateTransitionEnd(a.TRANSITION_DURATION):s(),o.removeClass("in")};var t=r.fn.tab;r.fn.tab=e,r.fn.tab.Constructor=a,r.fn.tab.noConflict=function(){return r.fn.tab=t,this};var 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n=this.$target.scrollTop(),s=this.$element.offset(),a=this.$target.height();if(null!=i&&"top"==this.affixed)return n<i&&"top";if("bottom"==this.affixed)return null!=i?!(n+this.unpin<=s.top)&&"bottom":!(n+a<=t-o)&&"bottom";var r=null==this.affixed,l=r?n:s.top;return null!=i&&n<=i?"top":null!=o&&t-o<=l+(r?a:e)&&"bottom"},h.prototype.getPinnedOffset=function(){if(this.pinnedOffset)return this.pinnedOffset;this.$element.removeClass(h.RESET).addClass("affix");var t=this.$target.scrollTop(),e=this.$element.offset();return this.pinnedOffset=e.top-t},h.prototype.checkPositionWithEventLoop=function(){setTimeout(l.proxy(this.checkPosition,this),1)},h.prototype.checkPosition=function(){if(this.$element.is(":visible")){var t=this.$element.height(),e=this.options.offset,i=e.top,o=e.bottom,n=Math.max(l(document).height(),l(document.body).height());"object"!=typeof e&&(o=i=e),"function"==typeof i&&(i=e.top(this.$element)),"function"==typeof o&&(o=e.bottom(this.$element));var s=this.getState(n,t,i,o);if(this.affixed!=s){null!=this.unpin&&this.$element.css("top","");var a="affix"+(s?"-"+s:""),r=l.Event(a+".bs.affix");if(this.$element.trigger(r),r.isDefaultPrevented())return;this.affixed=s,this.unpin="bottom"==s?this.getPinnedOffset():null,this.$element.removeClass(h.RESET).addClass(a).trigger(a.replace("affix","affixed")+".bs.affix")}"bottom"==s&&this.$element.offset({top:n-t-o})}};var t=l.fn.affix;l.fn.affix=i,l.fn.affix.Constructor=h,l.fn.affix.noConflict=function(){return l.fn.affix=t,this},l(window).on("load",function(){l('[data-spy="affix"]').each(function(){var t=l(this),e=t.data();e.offset=e.offset||{},null!=e.offsetBottom&&(e.offset.bottom=e.offsetBottom),null!=e.offsetTop&&(e.offset.top=e.offsetTop),i.call(t,e)})})}(window.$jqTheme || window.jQuery);
diff --git a/trackpy/v0.6.2/_static/bootstrap-3.4.1/js/npm.js b/trackpy/v0.6.2/_static/bootstrap-3.4.1/js/npm.js
new file mode 100644
index 00000000..bf6aa806
--- /dev/null
+++ b/trackpy/v0.6.2/_static/bootstrap-3.4.1/js/npm.js
@@ -0,0 +1,13 @@
+// This file is autogenerated via the `commonjs` Grunt task. You can require() this file in a CommonJS environment.
+require('../../js/transition.js')
+require('../../js/alert.js')
+require('../../js/button.js')
+require('../../js/carousel.js')
+require('../../js/collapse.js')
+require('../../js/dropdown.js')
+require('../../js/modal.js')
+require('../../js/tooltip.js')
+require('../../js/popover.js')
+require('../../js/scrollspy.js')
+require('../../js/tab.js')
+require('../../js/affix.js')
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_static/bootstrap-sphinx.css b/trackpy/v0.6.2/_static/bootstrap-sphinx.css
new file mode 100644
index 00000000..55fb46c7
--- /dev/null
+++ b/trackpy/v0.6.2/_static/bootstrap-sphinx.css
@@ -0,0 +1,223 @@
+/*
+ * bootstrap-sphinx.css
+ * ~~~~~~~~~~~~~~~~~~~~
+ *
+ * Sphinx stylesheet -- Bootstrap theme.
+ */
+
+/*
+ * Imports to aggregate everything together.
+ */
+
+@import url("./basic.css");
+
+
+  
+
+
+
+  
+  
+    @import url("./bootswatch-3.4.1/spacelab/bootstrap.min.css");
+  
+
+
+/*
+ * Styles
+ */
+
+.navbar-inverse .brand {
+  color: #FFF;
+}
+
+/*
+ * Reset navbar styles from overrides in:
+ * https://bitbucket.org/birkenfeld/sphinx/commits/78d8ebf76b630ab4073a7328af9d91e8123b8d96
+ */
+.navbar .container {
+  padding-top: 0;
+}
+
+/*
+ * Reset the logo image dimensions. Sites like RTD can override with bad
+ * results on mobile (mega-huge logo...)
+ *
+ * https://github.com/ryan-roemer/sphinx-bootstrap-theme/issues/142
+ */
+.navbar-brand img {
+  width: auto;
+  height: 100%;
+}
+
+.page-top {
+  top: 0px;
+}
+
+
+
+
+
+  body {
+    
+      padding-top: 60px;
+    
+  }
+  .page-top {
+    
+      top: 60px;
+    
+  }
+
+
+
+.navbar-inner {
+  padding-left:  12px !important;
+  padding-right: 12px !important;
+}
+
+
+table {
+  border: 0;
+}
+
+.highlighttable .code pre {
+    font-size: 12px;
+}
+
+.highlighttable .linenos pre {
+    word-break: normal;
+    font-size: 12px;
+}
+
+div.highlight {
+  background: none;
+}
+
+a.headerlink {
+  margin-left: 0.25em;
+}
+
+a.footnote-reference {
+  vertical-align: super;
+  font-size: 75%;
+}
+
+table.footnote td.label {
+  color: inherit;
+  font-size: 100%;
+  display: block;
+  line-height: normal;
+  background: inherit;
+}
+
+table.footnote {
+  width: auto;
+  margin-bottom: 0px;
+}
+
+table.field-list {
+  width: auto;
+}
+
+.footer {
+  width: 100%;
+  border-top: 1px solid #ccc;
+  padding-top: 10px;
+}
+
+.bs-sidenav form, .bs-sidenav #sourcelink {
+  padding: 5px 20px;
+}
+
+
+
+/* The code below is based on the bootstrap website sidebar */
+
+.bs-sidenav.affix {
+  position: static;
+}
+
+/* First level of nav */
+.bs-sidenav {
+  margin-top: 30px;
+  margin-bottom: 30px;
+  padding-top:    10px;
+  padding-bottom: 10px;
+  text-shadow: 0 1px 0 #fff;
+  background-color: #f7f5fa;
+  border-radius: 5px;
+}
+
+/* All levels of nav */
+.bs-sidenav .nav > li > a {
+  display: block;
+  color: #716b7a;
+  padding: 5px 20px;
+}
+.bs-sidenav .nav > li > a:hover,
+.bs-sidenav .nav > li > a:focus {
+  text-decoration: none;
+  background-color: #e5e3e9;
+  border-right: 1px solid #dbd8e0;
+}
+.bs-sidenav .nav > .active > a,
+.bs-sidenav .nav > .active:hover > a,
+.bs-sidenav .nav > .active:focus > a {
+  font-weight: bold;
+  color: #563d7c;
+  background-color: transparent;
+  border-right: 1px solid #563d7c;
+}
+
+.bs-sidenav .nav .nav > li > a {
+  padding-top:    3px;
+  padding-bottom: 3px;
+  padding-left: 30px;
+  font-size: 90%;
+}
+
+.bs-sidenav .nav .nav .nav > li > a {
+  padding-top:    3px;
+  padding-bottom: 3px;
+  padding-left: 40px;
+  font-size: 90%;
+}
+
+.bs-sidenav .nav .nav .nav .nav > li > a {
+  padding-top:    3px;
+  padding-bottom: 3px;
+  padding-left: 50px;
+  font-size: 90%;
+}
+
+/* Show and affix the side nav when space allows it */
+@media screen and (min-width: 992px) {
+  .bs-sidenav .nav > .active > ul {
+    display: block;
+  }
+  /* Widen the fixed sidenav */
+  .bs-sidenav.affix,
+  .bs-sidenav.affix-bottom {
+    width: 213px;
+  }
+  .bs-sidenav.affix {
+    position: fixed; /* Undo the static from mobile first approach */
+  }
+  .bs-sidenav.affix-bottom {
+    position: absolute; /* Undo the static from mobile first approach */
+  }
+  .bs-sidenav.affix-bottom .bs-sidenav,
+  .bs-sidenav.affix .bs-sidenav {
+    margin-top: 0;
+    margin-bottom: 0;
+  }
+}
+@media screen and (min-width: 1200px) {
+  /* Widen the fixed sidenav again */
+  .bs-sidenav.affix-bottom,
+  .bs-sidenav.affix {
+    width: 263px;
+  }
+}
+
+
diff --git a/trackpy/v0.6.2/_static/bootstrap-sphinx.js b/trackpy/v0.6.2/_static/bootstrap-sphinx.js
new file mode 100644
index 00000000..17e81981
--- /dev/null
+++ b/trackpy/v0.6.2/_static/bootstrap-sphinx.js
@@ -0,0 +1,175 @@
+(function ($) {
+  /**
+   * Patch TOC list.
+   *
+   * Will mutate the underlying span to have a correct ul for nav.
+   *
+   * @param $span: Span containing nested UL"s to mutate.
+   * @param minLevel: Starting level for nested lists. (1: global, 2: local).
+   */
+  var patchToc = function ($ul, minLevel) {
+    var findA,
+      patchTables,
+      $localLi;
+
+    // Find all a "internal" tags, traversing recursively.
+    findA = function ($elem, level) {
+      level = level || 0;
+      var $items = $elem.find("> li > a.internal, > ul, > li > ul");
+
+      // Iterate everything in order.
+      $items.each(function (index, item) {
+        var $item = $(item),
+          tag = item.tagName.toLowerCase(),
+          $childrenLi = $item.children("li"),
+          $parentLi = $($item.parent("li"), $item.parent().parent("li"));
+
+        // Add dropdowns if more children and above minimum level.
+        if (tag === "ul" && level >= minLevel && $childrenLi.length > 0) {
+          $parentLi
+            .addClass("dropdown-submenu")
+            .children("a").first().attr("tabindex", -1);
+
+          $item.addClass("dropdown-menu");
+        }
+
+        findA($item, level + 1);
+      });
+    };
+
+    findA($ul);
+  };
+
+  /**
+   * Patch all tables to remove ``docutils`` class and add Bootstrap base
+   * ``table`` class.
+   */
+  patchTables = function () {
+    $("table.docutils")
+      .removeClass("docutils")
+      .addClass("table")
+      .attr("border", 0);
+  };
+
+  $(window).load(function () {
+    /*
+     * Scroll the window to avoid the topnav bar
+     * https://github.com/twbs/bootstrap/issues/1768
+     */
+    if ($("#navbar.navbar-fixed-top").length > 0) {
+      var navHeight = $("#navbar").height(),
+        shiftWindow = function() { scrollBy(0, -navHeight - 10); };
+
+      if (location.hash) {
+        setTimeout(shiftWindow, 1);
+      }
+
+      window.addEventListener("hashchange", shiftWindow);
+    }
+  });
+
+  $(document).ready(function () {
+    // Add styling, structure to TOC"s.
+    $(".dropdown-menu").each(function () {
+      $(this).find("ul").each(function (index, item){
+        var $item = $(item);
+        $item.addClass("unstyled");
+      });
+    });
+
+    // Global TOC.
+    if ($("ul.globaltoc li").length) {
+      patchToc($("ul.globaltoc"), 1);
+    } else {
+      // Remove Global TOC.
+      $(".globaltoc-container").remove();
+    }
+
+    // Local TOC.
+    $(".bs-sidenav ul").addClass("nav nav-list");
+    $(".bs-sidenav > ul > li > a").addClass("nav-header");
+
+    
+    // back to top
+    setTimeout(function () {
+      var $sideBar = $(".bs-sidenav");
+      var $content = $(".content");
+
+      // Enlarge content if sidebar is larger.
+      if ($sideBar.outerHeight(true) > $content.outerHeight(true)) {
+        $content.css("min-height", $sideBar.outerHeight(true));
+      }
+
+      $sideBar
+        // Add affix.
+        .affix({
+          offset: {
+            top: function () {
+              var offsetTop      = $sideBar.offset().top;
+              var sideBarMargin  = parseInt($sideBar.css("margin-top"), 10);
+              var navOuterHeight = $("#navbar").outerHeight(true);
+
+              return (this.top = offsetTop - navOuterHeight);
+            },
+            bottom: function () {
+              return (this.bottom = $(".footer").outerHeight(true));
+            }
+          }
+        })
+        // Trigger to reset if page content is scrolled to bottom.
+        .trigger("scroll.bs.affix.data-api");
+    }, 0);
+    
+
+    // Local TOC.
+    patchToc($("ul.localtoc"), 2);
+
+    // Mutate sub-lists (for bs-2.3.0).
+    $(".dropdown-menu ul").not(".dropdown-menu").each(function () {
+      var $ul = $(this),
+        $parent = $ul.parent(),
+        tag = $parent[0].tagName.toLowerCase(),
+        $kids = $ul.children().detach();
+
+      // Replace list with items if submenu header.
+      if (tag === "ul") {
+        $ul.replaceWith($kids);
+      } else if (tag === "li") {
+        // Insert into previous list.
+        $parent.after($kids);
+        $ul.remove();
+      }
+    });
+
+    // Add divider in page TOC.
+    $localLi = $("ul.localtoc li");
+    if ($localLi.length > 2) {
+      $localLi.first().after("<li class=\"divider\"></li>");
+    }
+
+    // Patch tables.
+    patchTables();
+
+    // Add Note, Warning styles. (BS v2,3 compatible).
+    $(".admonition").addClass("alert alert-info")
+      .filter(".warning, .caution")
+        .removeClass("alert-info")
+        .addClass("alert-warning").end()
+      .filter(".error, .danger")
+        .removeClass("alert-info")
+        .addClass("alert-danger alert-error").end();
+
+    // Inline code styles to Bootstrap style.
+    $("tt.docutils.literal").not(".xref").each(function (i, e) {
+      // ignore references
+      if (!$(e).parent().hasClass("reference")) {
+        $(e).replaceWith(function () {
+          return $("<code />").html($(this).html());
+        });
+      }});
+
+    // Update sourcelink to remove outerdiv (fixes appearance in navbar).
+    var $srcLink = $(".nav #sourcelink");
+    $srcLink.parent().html($srcLink.html());
+  });
+}(window.$jqTheme || window.jQuery));
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_static/bootswatch-2.3.2/amelia/bootstrap.min.css b/trackpy/v0.6.2/_static/bootswatch-2.3.2/amelia/bootstrap.min.css
new file mode 100644
index 00000000..b8cea328
--- /dev/null
+++ b/trackpy/v0.6.2/_static/bootswatch-2.3.2/amelia/bootstrap.min.css
@@ -0,0 +1,9 @@
+@import url('//fonts.googleapis.com/css?family=Lobster|Cabin:400,700');/*!
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+ *
+ * Copyright 2012 Twitter, Inc
+ * Licensed under the Apache License v2.0
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Designed and built with all the love in the world @twitter by @mdo and @fat.
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diff --git a/trackpy/v0.6.2/_static/bootswatch-2.3.2/cerulean/bootstrap.min.css b/trackpy/v0.6.2/_static/bootswatch-2.3.2/cerulean/bootstrap.min.css
new file mode 100644
index 00000000..9740c15e
--- /dev/null
+++ b/trackpy/v0.6.2/_static/bootswatch-2.3.2/cerulean/bootstrap.min.css
@@ -0,0 +1,9 @@
+@import url(//fonts.googleapis.com/css?family=Telex);/*!
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+ * Licensed under the Apache License v2.0
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diff --git a/trackpy/v0.6.2/_static/bootswatch-2.3.2/cosmo/bootstrap.min.css b/trackpy/v0.6.2/_static/bootswatch-2.3.2/cosmo/bootstrap.min.css
new file mode 100644
index 00000000..cae7e4f8
--- /dev/null
+++ b/trackpy/v0.6.2/_static/bootswatch-2.3.2/cosmo/bootstrap.min.css
@@ -0,0 +1,9 @@
+@import url('//fonts.googleapis.com/css?family=Open+Sans:400italic,700italic,400,700');/*!
+ * Bootstrap v2.3.2
+ *
+ * Copyright 2012 Twitter, Inc
+ * Licensed under the Apache License v2.0
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Designed and built with all the love in the world @twitter by @mdo and @fat.
+ */.clearfix{*zoom:1}.clearfix:before,.clearfix:after{display:table;line-height:0;content:""}.clearfix:after{clear:both}.hide-text{font:0/0 a;color:transparent;text-shadow:none;background-color:transparent;border:0}.input-block-level{display:block;width:100%;min-height:30px;-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box}article,aside,details,figcaption,figure,footer,header,hgroup,nav,section{display:block}audio,canvas,video{display:inline-block;*display:inline;*zoom:1}audio:not([controls]){display:none}html{font-size:100%;-webkit-text-size-adjust:100%;-ms-text-size-adjust:100%}a:focus{outline:thin dotted #333;outline:5px auto -webkit-focus-ring-color;outline-offset:-2px}a:hover,a:active{outline:0}sub,sup{position:relative;font-size:75%;line-height:0;vertical-align:baseline}sup{top:-0.5em}sub{bottom:-0.25em}img{width:auto\9;height:auto;max-width:100%;vertical-align:middle;border:0;-ms-interpolation-mode:bicubic}#map_canvas img,.google-maps 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diff --git a/trackpy/v0.6.2/_static/bootswatch-2.3.2/cyborg/bootstrap.min.css b/trackpy/v0.6.2/_static/bootswatch-2.3.2/cyborg/bootstrap.min.css
new file mode 100644
index 00000000..894f3aac
--- /dev/null
+++ b/trackpy/v0.6.2/_static/bootswatch-2.3.2/cyborg/bootstrap.min.css
@@ -0,0 +1,9 @@
+@import url('//fonts.googleapis.com/css?family=Droid+Sans:400,700');/*!
+ * Bootstrap v2.3.2
+ *
+ * Copyright 2012 Twitter, Inc
+ * Licensed under the Apache License v2.0
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Designed and built with all the love in the world @twitter by @mdo and @fat.
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new file mode 100644
index 00000000..a8ba3895
--- /dev/null
+++ b/trackpy/v0.6.2/_static/bootswatch-2.3.2/flatly/bootstrap.min.css
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diff --git a/trackpy/v0.6.2/_static/bootswatch-2.3.2/journal/bootstrap.min.css b/trackpy/v0.6.2/_static/bootswatch-2.3.2/journal/bootstrap.min.css
new file mode 100644
index 00000000..f310a559
--- /dev/null
+++ b/trackpy/v0.6.2/_static/bootswatch-2.3.2/journal/bootstrap.min.css
@@ -0,0 +1,9 @@
+@import url('//fonts.googleapis.com/css?family=News+Cycle:400,700');/*!
+ * Bootstrap v2.3.2
+ *
+ * Copyright 2012 Twitter, Inc
+ * Licensed under the Apache License v2.0
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Designed and built with all the love in the world @twitter by @mdo and @fat.
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diff --git a/trackpy/v0.6.2/_static/bootswatch-2.3.2/readable/bootstrap.min.css b/trackpy/v0.6.2/_static/bootswatch-2.3.2/readable/bootstrap.min.css
new file mode 100644
index 00000000..0efc48fb
--- /dev/null
+++ b/trackpy/v0.6.2/_static/bootswatch-2.3.2/readable/bootstrap.min.css
@@ -0,0 +1,9 @@
+@import url('//fonts.googleapis.com/css?family=Lora:400,700,400italic,700italic');/*!
+ * Bootstrap v2.3.2
+ *
+ * Copyright 2012 Twitter, Inc
+ * Licensed under the Apache License v2.0
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Designed and built with all the love in the world @twitter by @mdo and @fat.
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diff --git a/trackpy/v0.6.2/_static/bootswatch-2.3.2/simplex/bootstrap.min.css b/trackpy/v0.6.2/_static/bootswatch-2.3.2/simplex/bootstrap.min.css
new file mode 100644
index 00000000..a3e828f3
--- /dev/null
+++ b/trackpy/v0.6.2/_static/bootswatch-2.3.2/simplex/bootstrap.min.css
@@ -0,0 +1,9 @@
+@import url('//fonts.googleapis.com/css?family=Josefin+Sans:300,400,700');/*!
+ * Bootstrap v2.3.2
+ *
+ * Copyright 2012 Twitter, Inc
+ * Licensed under the Apache License v2.0
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Designed and built with all the love in the world @twitter by @mdo and @fat.
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diff --git a/trackpy/v0.6.2/_static/bootswatch-2.3.2/slate/bootstrap.min.css b/trackpy/v0.6.2/_static/bootswatch-2.3.2/slate/bootstrap.min.css
new file mode 100644
index 00000000..40746a2a
--- /dev/null
+++ b/trackpy/v0.6.2/_static/bootswatch-2.3.2/slate/bootstrap.min.css
@@ -0,0 +1,9 @@
+/*!
+ * Bootstrap v2.3.2
+ *
+ * Copyright 2012 Twitter, Inc
+ * Licensed under the Apache License v2.0
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Designed and built with all the love in the world @twitter by @mdo and @fat.
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diff --git a/trackpy/v0.6.2/_static/bootswatch-2.3.2/spacelab/bootstrap.min.css b/trackpy/v0.6.2/_static/bootswatch-2.3.2/spacelab/bootstrap.min.css
new file mode 100644
index 00000000..7b7b4bb4
--- /dev/null
+++ b/trackpy/v0.6.2/_static/bootswatch-2.3.2/spacelab/bootstrap.min.css
@@ -0,0 +1,9 @@
+@import url('//fonts.googleapis.com/css?family=Open+Sans:400italic,700italic,400,700');/*!
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+ *
+ * Copyright 2012 Twitter, Inc
+ * Licensed under the Apache License v2.0
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
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new file mode 100644
index 00000000..6d5279cb
--- /dev/null
+++ b/trackpy/v0.6.2/_static/bootswatch-2.3.2/spruce/bootstrap.min.css
@@ -0,0 +1,9 @@
+@import url(//fonts.googleapis.com/css?family=Crete+Round);/*!
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+ *
+ * Copyright 2012 Twitter, Inc
+ * Licensed under the Apache License v2.0
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
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new file mode 100644
index 00000000..6635d7db
--- /dev/null
+++ b/trackpy/v0.6.2/_static/bootswatch-2.3.2/superhero/bootstrap.min.css
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new file mode 100644
index 00000000..29cb6b61
--- /dev/null
+++ b/trackpy/v0.6.2/_static/bootswatch-2.3.2/united/bootstrap.min.css
@@ -0,0 +1,9 @@
+@import url(//fonts.googleapis.com/css?family=Ubuntu);/*!
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+ *
+ * Copyright 2012 Twitter, Inc
+ * Licensed under the Apache License v2.0
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
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diff --git a/trackpy/v0.6.2/_static/bootswatch-3.4.1/cerulean/bootstrap.min.css b/trackpy/v0.6.2/_static/bootswatch-3.4.1/cerulean/bootstrap.min.css
new file mode 100644
index 00000000..f4f211c5
--- /dev/null
+++ b/trackpy/v0.6.2/_static/bootswatch-3.4.1/cerulean/bootstrap.min.css
@@ -0,0 +1,11 @@
+/*!
+ * bootswatch v3.4.1
+ * Homepage: http://bootswatch.com
+ * Copyright 2012-2019 Thomas Park
+ * Licensed under MIT
+ * Based on Bootstrap
+*//*!
+ * Bootstrap v3.4.1 (https://getbootstrap.com/)
+ * Copyright 2011-2019 Twitter, Inc.
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
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diff --git a/trackpy/v0.6.2/_static/bootswatch-3.4.1/cosmo/bootstrap.min.css b/trackpy/v0.6.2/_static/bootswatch-3.4.1/cosmo/bootstrap.min.css
new file mode 100644
index 00000000..86e72743
--- /dev/null
+++ b/trackpy/v0.6.2/_static/bootswatch-3.4.1/cosmo/bootstrap.min.css
@@ -0,0 +1,11 @@
+@import url("https://fonts.googleapis.com/css?family=Source+Sans+Pro:300,400,700");/*!
+ * bootswatch v3.4.1
+ * Homepage: http://bootswatch.com
+ * Copyright 2012-2019 Thomas Park
+ * Licensed under MIT
+ * Based on Bootstrap
+*//*!
+ * Bootstrap v3.4.1 (https://getbootstrap.com/)
+ * Copyright 2011-2019 Twitter, Inc.
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
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diff --git a/trackpy/v0.6.2/_static/bootswatch-3.4.1/cyborg/bootstrap.min.css b/trackpy/v0.6.2/_static/bootswatch-3.4.1/cyborg/bootstrap.min.css
new file mode 100644
index 00000000..4add2a40
--- /dev/null
+++ b/trackpy/v0.6.2/_static/bootswatch-3.4.1/cyborg/bootstrap.min.css
@@ -0,0 +1,11 @@
+@import url("https://fonts.googleapis.com/css?family=Roboto:400,700");/*!
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+ * Homepage: http://bootswatch.com
+ * Copyright 2012-2019 Thomas Park
+ * Licensed under MIT
+ * Based on Bootstrap
+*//*!
+ * Bootstrap v3.4.1 (https://getbootstrap.com/)
+ * Copyright 2011-2019 Twitter, Inc.
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
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diff --git a/trackpy/v0.6.2/_static/bootswatch-3.4.1/darkly/bootstrap.min.css b/trackpy/v0.6.2/_static/bootswatch-3.4.1/darkly/bootstrap.min.css
new file mode 100644
index 00000000..edab636f
--- /dev/null
+++ b/trackpy/v0.6.2/_static/bootswatch-3.4.1/darkly/bootstrap.min.css
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+@import url("https://fonts.googleapis.com/css?family=Lato:400,700,400italic");/*!
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+ * Homepage: http://bootswatch.com
+ * Copyright 2012-2019 Thomas Park
+ * Licensed under MIT
+ * Based on Bootstrap
+*//*!
+ * Bootstrap v3.4.1 (https://getbootstrap.com/)
+ * Copyright 2011-2019 Twitter, Inc.
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
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diff --git a/trackpy/v0.6.2/_static/bootswatch-3.4.1/flatly/bootstrap.min.css b/trackpy/v0.6.2/_static/bootswatch-3.4.1/flatly/bootstrap.min.css
new file mode 100644
index 00000000..a209d4e7
--- /dev/null
+++ b/trackpy/v0.6.2/_static/bootswatch-3.4.1/flatly/bootstrap.min.css
@@ -0,0 +1,11 @@
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+ * Homepage: http://bootswatch.com
+ * Copyright 2012-2019 Thomas Park
+ * Licensed under MIT
+ * Based on Bootstrap
+*//*!
+ * Bootstrap v3.4.1 (https://getbootstrap.com/)
+ * Copyright 2011-2019 Twitter, Inc.
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
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diff --git a/trackpy/v0.6.2/_static/bootswatch-3.4.1/journal/bootstrap.min.css b/trackpy/v0.6.2/_static/bootswatch-3.4.1/journal/bootstrap.min.css
new file mode 100644
index 00000000..8fec3e8f
--- /dev/null
+++ b/trackpy/v0.6.2/_static/bootswatch-3.4.1/journal/bootstrap.min.css
@@ -0,0 +1,11 @@
+@import url("https://fonts.googleapis.com/css?family=News+Cycle:400,700");/*!
+ * bootswatch v3.4.1
+ * Homepage: http://bootswatch.com
+ * Copyright 2012-2019 Thomas Park
+ * Licensed under MIT
+ * Based on Bootstrap
+*//*!
+ * Bootstrap v3.4.1 (https://getbootstrap.com/)
+ * Copyright 2011-2019 Twitter, Inc.
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
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diff --git a/trackpy/v0.6.2/_static/bootswatch-3.4.1/lumen/bootstrap.min.css b/trackpy/v0.6.2/_static/bootswatch-3.4.1/lumen/bootstrap.min.css
new file mode 100644
index 00000000..f116a532
--- /dev/null
+++ b/trackpy/v0.6.2/_static/bootswatch-3.4.1/lumen/bootstrap.min.css
@@ -0,0 +1,11 @@
+@import url("https://fonts.googleapis.com/css?family=Source+Sans+Pro:300,400,700,400italic");/*!
+ * bootswatch v3.4.1
+ * Homepage: http://bootswatch.com
+ * Copyright 2012-2019 Thomas Park
+ * Licensed under MIT
+ * Based on Bootstrap
+*//*!
+ * Bootstrap v3.4.1 (https://getbootstrap.com/)
+ * Copyright 2011-2019 Twitter, Inc.
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
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diff --git a/trackpy/v0.6.2/_static/bootswatch-3.4.1/paper/bootstrap.min.css b/trackpy/v0.6.2/_static/bootswatch-3.4.1/paper/bootstrap.min.css
new file mode 100644
index 00000000..95f0b6c3
--- /dev/null
+++ b/trackpy/v0.6.2/_static/bootswatch-3.4.1/paper/bootstrap.min.css
@@ -0,0 +1,11 @@
+@import url("https://fonts.googleapis.com/css?family=Roboto:300,400,500,700");/*!
+ * bootswatch v3.4.1
+ * Homepage: http://bootswatch.com
+ * Copyright 2012-2019 Thomas Park
+ * Licensed under MIT
+ * Based on Bootstrap
+*//*!
+ * Bootstrap v3.4.1 (https://getbootstrap.com/)
+ * Copyright 2011-2019 Twitter, Inc.
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
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diff --git a/trackpy/v0.6.2/_static/bootswatch-3.4.1/readable/bootstrap.min.css b/trackpy/v0.6.2/_static/bootswatch-3.4.1/readable/bootstrap.min.css
new file mode 100644
index 00000000..90441436
--- /dev/null
+++ b/trackpy/v0.6.2/_static/bootswatch-3.4.1/readable/bootstrap.min.css
@@ -0,0 +1,11 @@
+@import url("https://fonts.googleapis.com/css?family=Raleway:400,700");/*!
+ * bootswatch v3.4.1
+ * Homepage: http://bootswatch.com
+ * Copyright 2012-2019 Thomas Park
+ * Licensed under MIT
+ * Based on Bootstrap
+*//*!
+ * Bootstrap v3.4.1 (https://getbootstrap.com/)
+ * Copyright 2011-2019 Twitter, Inc.
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
+ *//*! normalize.css v3.0.3 | MIT License | github.com/necolas/normalize.css */html{font-family:sans-serif;-ms-text-size-adjust:100%;-webkit-text-size-adjust:100%}body{margin:0}article,aside,details,figcaption,figure,footer,header,hgroup,main,menu,nav,section,summary{display:block}audio,canvas,progress,video{display:inline-block;vertical-align:baseline}audio:not([controls]){display:none;height:0}[hidden],template{display:none}a{background-color:transparent}a:active,a:hover{outline:0}abbr[title]{border-bottom:none;text-decoration:underline;text-decoration:underline dotted}b,strong{font-weight:bold}dfn{font-style:italic}h1{font-size:2em;margin:0.67em 0}mark{background:#ff0;color:#000}small{font-size:80%}sub,sup{font-size:75%;line-height:0;position:relative;vertical-align:baseline}sup{top:-0.5em}sub{bottom:-0.25em}img{border:0}svg:not(:root){overflow:hidden}figure{margin:1em 40px}hr{box-sizing:content-box;height:0}pre{overflow:auto}code,kbd,pre,samp{font-family:monospace, monospace;font-size:1em}button,input,optgroup,select,textarea{color:inherit;font:inherit;margin:0}button{overflow:visible}button,select{text-transform:none}button,html input[type="button"],input[type="reset"],input[type="submit"]{-webkit-appearance:button;cursor:pointer}button[disabled],html input[disabled]{cursor:default}button::-moz-focus-inner,input::-moz-focus-inner{border:0;padding:0}input{line-height:normal}input[type="checkbox"],input[type="radio"]{box-sizing:border-box;padding:0}input[type="number"]::-webkit-inner-spin-button,input[type="number"]::-webkit-outer-spin-button{height:auto}input[type="search"]{-webkit-appearance:textfield;box-sizing:content-box}input[type="search"]::-webkit-search-cancel-button,input[type="search"]::-webkit-search-decoration{-webkit-appearance:none}fieldset{border:1px solid #c0c0c0;margin:0 2px;padding:0.35em 0.625em 0.75em}legend{border:0;padding:0}textarea{overflow:auto}optgroup{font-weight:bold}table{border-collapse:collapse;border-spacing:0}td,th{padding:0}/*! 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diff --git a/trackpy/v0.6.2/_static/bootswatch-3.4.1/sandstone/bootstrap.min.css b/trackpy/v0.6.2/_static/bootswatch-3.4.1/sandstone/bootstrap.min.css
new file mode 100644
index 00000000..98245109
--- /dev/null
+++ b/trackpy/v0.6.2/_static/bootswatch-3.4.1/sandstone/bootstrap.min.css
@@ -0,0 +1,11 @@
+@import url("https://fonts.googleapis.com/css?family=Roboto:400,500,700");/*!
+ * bootswatch v3.4.1
+ * Homepage: http://bootswatch.com
+ * Copyright 2012-2019 Thomas Park
+ * Licensed under MIT
+ * Based on Bootstrap
+*//*!
+ * Bootstrap v3.4.1 (https://getbootstrap.com/)
+ * Copyright 2011-2019 Twitter, Inc.
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
+ *//*! normalize.css v3.0.3 | MIT License | github.com/necolas/normalize.css */html{font-family:sans-serif;-ms-text-size-adjust:100%;-webkit-text-size-adjust:100%}body{margin:0}article,aside,details,figcaption,figure,footer,header,hgroup,main,menu,nav,section,summary{display:block}audio,canvas,progress,video{display:inline-block;vertical-align:baseline}audio:not([controls]){display:none;height:0}[hidden],template{display:none}a{background-color:transparent}a:active,a:hover{outline:0}abbr[title]{border-bottom:none;text-decoration:underline;text-decoration:underline dotted}b,strong{font-weight:bold}dfn{font-style:italic}h1{font-size:2em;margin:0.67em 0}mark{background:#ff0;color:#000}small{font-size:80%}sub,sup{font-size:75%;line-height:0;position:relative;vertical-align:baseline}sup{top:-0.5em}sub{bottom:-0.25em}img{border:0}svg:not(:root){overflow:hidden}figure{margin:1em 40px}hr{box-sizing:content-box;height:0}pre{overflow:auto}code,kbd,pre,samp{font-family:monospace, monospace;font-size:1em}button,input,optgroup,select,textarea{color:inherit;font:inherit;margin:0}button{overflow:visible}button,select{text-transform:none}button,html input[type="button"],input[type="reset"],input[type="submit"]{-webkit-appearance:button;cursor:pointer}button[disabled],html input[disabled]{cursor:default}button::-moz-focus-inner,input::-moz-focus-inner{border:0;padding:0}input{line-height:normal}input[type="checkbox"],input[type="radio"]{box-sizing:border-box;padding:0}input[type="number"]::-webkit-inner-spin-button,input[type="number"]::-webkit-outer-spin-button{height:auto}input[type="search"]{-webkit-appearance:textfield;box-sizing:content-box}input[type="search"]::-webkit-search-cancel-button,input[type="search"]::-webkit-search-decoration{-webkit-appearance:none}fieldset{border:1px solid #c0c0c0;margin:0 2px;padding:0.35em 0.625em 0.75em}legend{border:0;padding:0}textarea{overflow:auto}optgroup{font-weight:bold}table{border-collapse:collapse;border-spacing:0}td,th{padding:0}/*! 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diff --git a/trackpy/v0.6.2/_static/bootswatch-3.4.1/simplex/bootstrap.min.css b/trackpy/v0.6.2/_static/bootswatch-3.4.1/simplex/bootstrap.min.css
new file mode 100644
index 00000000..18f4280b
--- /dev/null
+++ b/trackpy/v0.6.2/_static/bootswatch-3.4.1/simplex/bootstrap.min.css
@@ -0,0 +1,11 @@
+@import url("https://fonts.googleapis.com/css?family=Open+Sans:400,700");/*!
+ * bootswatch v3.4.1
+ * Homepage: http://bootswatch.com
+ * Copyright 2012-2019 Thomas Park
+ * Licensed under MIT
+ * Based on Bootstrap
+*//*!
+ * Bootstrap v3.4.1 (https://getbootstrap.com/)
+ * Copyright 2011-2019 Twitter, Inc.
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
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diff --git a/trackpy/v0.6.2/_static/bootswatch-3.4.1/slate/bootstrap.min.css b/trackpy/v0.6.2/_static/bootswatch-3.4.1/slate/bootstrap.min.css
new file mode 100644
index 00000000..b058da5a
--- /dev/null
+++ b/trackpy/v0.6.2/_static/bootswatch-3.4.1/slate/bootstrap.min.css
@@ -0,0 +1,11 @@
+/*!
+ * bootswatch v3.4.1
+ * Homepage: http://bootswatch.com
+ * Copyright 2012-2019 Thomas Park
+ * Licensed under MIT
+ * Based on Bootstrap
+*//*!
+ * Bootstrap v3.4.1 (https://getbootstrap.com/)
+ * Copyright 2011-2019 Twitter, Inc.
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
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diff --git a/trackpy/v0.6.2/_static/bootswatch-3.4.1/spacelab/bootstrap.min.css b/trackpy/v0.6.2/_static/bootswatch-3.4.1/spacelab/bootstrap.min.css
new file mode 100644
index 00000000..8fb6103f
--- /dev/null
+++ b/trackpy/v0.6.2/_static/bootswatch-3.4.1/spacelab/bootstrap.min.css
@@ -0,0 +1,11 @@
+@import url("https://fonts.googleapis.com/css?family=Open+Sans:400italic,700italic,400,700");/*!
+ * bootswatch v3.4.1
+ * Homepage: http://bootswatch.com
+ * Copyright 2012-2019 Thomas Park
+ * Licensed under MIT
+ * Based on Bootstrap
+*//*!
+ * Bootstrap v3.4.1 (https://getbootstrap.com/)
+ * Copyright 2011-2019 Twitter, Inc.
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
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diff --git a/trackpy/v0.6.2/_static/bootswatch-3.4.1/superhero/bootstrap.min.css b/trackpy/v0.6.2/_static/bootswatch-3.4.1/superhero/bootstrap.min.css
new file mode 100644
index 00000000..786679b5
--- /dev/null
+++ b/trackpy/v0.6.2/_static/bootswatch-3.4.1/superhero/bootstrap.min.css
@@ -0,0 +1,11 @@
+@import url("https://fonts.googleapis.com/css?family=Lato:300,400,700");/*!
+ * bootswatch v3.4.1
+ * Homepage: http://bootswatch.com
+ * Copyright 2012-2019 Thomas Park
+ * Licensed under MIT
+ * Based on Bootstrap
+*//*!
+ * Bootstrap v3.4.1 (https://getbootstrap.com/)
+ * Copyright 2011-2019 Twitter, Inc.
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
+ *//*! normalize.css v3.0.3 | MIT License | github.com/necolas/normalize.css */html{font-family:sans-serif;-ms-text-size-adjust:100%;-webkit-text-size-adjust:100%}body{margin:0}article,aside,details,figcaption,figure,footer,header,hgroup,main,menu,nav,section,summary{display:block}audio,canvas,progress,video{display:inline-block;vertical-align:baseline}audio:not([controls]){display:none;height:0}[hidden],template{display:none}a{background-color:transparent}a:active,a:hover{outline:0}abbr[title]{border-bottom:none;text-decoration:underline;text-decoration:underline dotted}b,strong{font-weight:bold}dfn{font-style:italic}h1{font-size:2em;margin:0.67em 0}mark{background:#ff0;color:#000}small{font-size:80%}sub,sup{font-size:75%;line-height:0;position:relative;vertical-align:baseline}sup{top:-0.5em}sub{bottom:-0.25em}img{border:0}svg:not(:root){overflow:hidden}figure{margin:1em 40px}hr{box-sizing:content-box;height:0}pre{overflow:auto}code,kbd,pre,samp{font-family:monospace, monospace;font-size:1em}button,input,optgroup,select,textarea{color:inherit;font:inherit;margin:0}button{overflow:visible}button,select{text-transform:none}button,html input[type="button"],input[type="reset"],input[type="submit"]{-webkit-appearance:button;cursor:pointer}button[disabled],html input[disabled]{cursor:default}button::-moz-focus-inner,input::-moz-focus-inner{border:0;padding:0}input{line-height:normal}input[type="checkbox"],input[type="radio"]{box-sizing:border-box;padding:0}input[type="number"]::-webkit-inner-spin-button,input[type="number"]::-webkit-outer-spin-button{height:auto}input[type="search"]{-webkit-appearance:textfield;box-sizing:content-box}input[type="search"]::-webkit-search-cancel-button,input[type="search"]::-webkit-search-decoration{-webkit-appearance:none}fieldset{border:1px solid #c0c0c0;margin:0 2px;padding:0.35em 0.625em 0.75em}legend{border:0;padding:0}textarea{overflow:auto}optgroup{font-weight:bold}table{border-collapse:collapse;border-spacing:0}td,th{padding:0}/*! 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diff --git a/trackpy/v0.6.2/_static/bootswatch-3.4.1/united/bootstrap.min.css b/trackpy/v0.6.2/_static/bootswatch-3.4.1/united/bootstrap.min.css
new file mode 100644
index 00000000..5298a503
--- /dev/null
+++ b/trackpy/v0.6.2/_static/bootswatch-3.4.1/united/bootstrap.min.css
@@ -0,0 +1,11 @@
+@import url("https://fonts.googleapis.com/css?family=Ubuntu:400,700");/*!
+ * bootswatch v3.4.1
+ * Homepage: http://bootswatch.com
+ * Copyright 2012-2019 Thomas Park
+ * Licensed under MIT
+ * Based on Bootstrap
+*//*!
+ * Bootstrap v3.4.1 (https://getbootstrap.com/)
+ * Copyright 2011-2019 Twitter, Inc.
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
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diff --git a/trackpy/v0.6.2/_static/bootswatch-3.4.1/yeti/bootstrap.min.css b/trackpy/v0.6.2/_static/bootswatch-3.4.1/yeti/bootstrap.min.css
new file mode 100644
index 00000000..8031a177
--- /dev/null
+++ b/trackpy/v0.6.2/_static/bootswatch-3.4.1/yeti/bootstrap.min.css
@@ -0,0 +1,11 @@
+@import url("https://fonts.googleapis.com/css?family=Open+Sans:300italic,400italic,700italic,400,300,700");/*!
+ * bootswatch v3.4.1
+ * Homepage: http://bootswatch.com
+ * Copyright 2012-2019 Thomas Park
+ * Licensed under MIT
+ * Based on Bootstrap
+*//*!
+ * Bootstrap v3.4.1 (https://getbootstrap.com/)
+ * Copyright 2011-2019 Twitter, Inc.
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
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diff --git a/trackpy/v0.6.2/_static/doctools.js b/trackpy/v0.6.2/_static/doctools.js
new file mode 100644
index 00000000..c3db08d1
--- /dev/null
+++ b/trackpy/v0.6.2/_static/doctools.js
@@ -0,0 +1,264 @@
+/*
+ * doctools.js
+ * ~~~~~~~~~~~
+ *
+ * Base JavaScript utilities for all Sphinx HTML documentation.
+ *
+ * :copyright: Copyright 2007-2022 by the Sphinx team, see AUTHORS.
+ * :license: BSD, see LICENSE for details.
+ *
+ */
+"use strict";
+
+const _ready = (callback) => {
+  if (document.readyState !== "loading") {
+    callback();
+  } else {
+    document.addEventListener("DOMContentLoaded", callback);
+  }
+};
+
+/**
+ * highlight a given string on a node by wrapping it in
+ * span elements with the given class name.
+ */
+const _highlight = (node, addItems, text, className) => {
+  if (node.nodeType === Node.TEXT_NODE) {
+    const val = node.nodeValue;
+    const parent = node.parentNode;
+    const pos = val.toLowerCase().indexOf(text);
+    if (
+      pos >= 0 &&
+      !parent.classList.contains(className) &&
+      !parent.classList.contains("nohighlight")
+    ) {
+      let span;
+
+      const closestNode = parent.closest("body, svg, foreignObject");
+      const isInSVG = closestNode && closestNode.matches("svg");
+      if (isInSVG) {
+        span = document.createElementNS("http://www.w3.org/2000/svg", "tspan");
+      } else {
+        span = document.createElement("span");
+        span.classList.add(className);
+      }
+
+      span.appendChild(document.createTextNode(val.substr(pos, text.length)));
+      parent.insertBefore(
+        span,
+        parent.insertBefore(
+          document.createTextNode(val.substr(pos + text.length)),
+          node.nextSibling
+        )
+      );
+      node.nodeValue = val.substr(0, pos);
+
+      if (isInSVG) {
+        const rect = document.createElementNS(
+          "http://www.w3.org/2000/svg",
+          "rect"
+        );
+        const bbox = parent.getBBox();
+        rect.x.baseVal.value = bbox.x;
+        rect.y.baseVal.value = bbox.y;
+        rect.width.baseVal.value = bbox.width;
+        rect.height.baseVal.value = bbox.height;
+        rect.setAttribute("class", className);
+        addItems.push({ parent: parent, target: rect });
+      }
+    }
+  } else if (node.matches && !node.matches("button, select, textarea")) {
+    node.childNodes.forEach((el) => _highlight(el, addItems, text, className));
+  }
+};
+const _highlightText = (thisNode, text, className) => {
+  let addItems = [];
+  _highlight(thisNode, addItems, text, className);
+  addItems.forEach((obj) =>
+    obj.parent.insertAdjacentElement("beforebegin", obj.target)
+  );
+};
+
+/**
+ * Small JavaScript module for the documentation.
+ */
+const Documentation = {
+  init: () => {
+    Documentation.highlightSearchWords();
+    Documentation.initDomainIndexTable();
+    Documentation.initOnKeyListeners();
+  },
+
+  /**
+   * i18n support
+   */
+  TRANSLATIONS: {},
+  PLURAL_EXPR: (n) => (n === 1 ? 0 : 1),
+  LOCALE: "unknown",
+
+  // gettext and ngettext don't access this so that the functions
+  // can safely bound to a different name (_ = Documentation.gettext)
+  gettext: (string) => {
+    const translated = Documentation.TRANSLATIONS[string];
+    switch (typeof translated) {
+      case "undefined":
+        return string; // no translation
+      case "string":
+        return translated; // translation exists
+      default:
+        return translated[0]; // (singular, plural) translation tuple exists
+    }
+  },
+
+  ngettext: (singular, plural, n) => {
+    const translated = Documentation.TRANSLATIONS[singular];
+    if (typeof translated !== "undefined")
+      return translated[Documentation.PLURAL_EXPR(n)];
+    return n === 1 ? singular : plural;
+  },
+
+  addTranslations: (catalog) => {
+    Object.assign(Documentation.TRANSLATIONS, catalog.messages);
+    Documentation.PLURAL_EXPR = new Function(
+      "n",
+      `return (${catalog.plural_expr})`
+    );
+    Documentation.LOCALE = catalog.locale;
+  },
+
+  /**
+   * highlight the search words provided in the url in the text
+   */
+  highlightSearchWords: () => {
+    const highlight =
+      new URLSearchParams(window.location.search).get("highlight") || "";
+    const terms = highlight.toLowerCase().split(/\s+/).filter(x => x);
+    if (terms.length === 0) return; // nothing to do
+
+    // There should never be more than one element matching "div.body"
+    const divBody = document.querySelectorAll("div.body");
+    const body = divBody.length ? divBody[0] : document.querySelector("body");
+    window.setTimeout(() => {
+      terms.forEach((term) => _highlightText(body, term, "highlighted"));
+    }, 10);
+
+    const searchBox = document.getElementById("searchbox");
+    if (searchBox === null) return;
+    searchBox.appendChild(
+      document
+        .createRange()
+        .createContextualFragment(
+          '<p class="highlight-link">' +
+            '<a href="javascript:Documentation.hideSearchWords()">' +
+            Documentation.gettext("Hide Search Matches") +
+            "</a></p>"
+        )
+    );
+  },
+
+  /**
+   * helper function to hide the search marks again
+   */
+  hideSearchWords: () => {
+    document
+      .querySelectorAll("#searchbox .highlight-link")
+      .forEach((el) => el.remove());
+    document
+      .querySelectorAll("span.highlighted")
+      .forEach((el) => el.classList.remove("highlighted"));
+    const url = new URL(window.location);
+    url.searchParams.delete("highlight");
+    window.history.replaceState({}, "", url);
+  },
+
+  /**
+   * helper function to focus on search bar
+   */
+  focusSearchBar: () => {
+    document.querySelectorAll("input[name=q]")[0]?.focus();
+  },
+
+  /**
+   * Initialise the domain index toggle buttons
+   */
+  initDomainIndexTable: () => {
+    const toggler = (el) => {
+      const idNumber = el.id.substr(7);
+      const toggledRows = document.querySelectorAll(`tr.cg-${idNumber}`);
+      if (el.src.substr(-9) === "minus.png") {
+        el.src = `${el.src.substr(0, el.src.length - 9)}plus.png`;
+        toggledRows.forEach((el) => (el.style.display = "none"));
+      } else {
+        el.src = `${el.src.substr(0, el.src.length - 8)}minus.png`;
+        toggledRows.forEach((el) => (el.style.display = ""));
+      }
+    };
+
+    const togglerElements = document.querySelectorAll("img.toggler");
+    togglerElements.forEach((el) =>
+      el.addEventListener("click", (event) => toggler(event.currentTarget))
+    );
+    togglerElements.forEach((el) => (el.style.display = ""));
+    if (DOCUMENTATION_OPTIONS.COLLAPSE_INDEX) togglerElements.forEach(toggler);
+  },
+
+  initOnKeyListeners: () => {
+    // only install a listener if it is really needed
+    if (
+      !DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS &&
+      !DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS
+    )
+      return;
+
+    const blacklistedElements = new Set([
+      "TEXTAREA",
+      "INPUT",
+      "SELECT",
+      "BUTTON",
+    ]);
+    document.addEventListener("keydown", (event) => {
+      if (blacklistedElements.has(document.activeElement.tagName)) return; // bail for input elements
+      if (event.altKey || event.ctrlKey || event.metaKey) return; // bail with special keys
+
+      if (!event.shiftKey) {
+        switch (event.key) {
+          case "ArrowLeft":
+            if (!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS) break;
+
+            const prevLink = document.querySelector('link[rel="prev"]');
+            if (prevLink && prevLink.href) {
+              window.location.href = prevLink.href;
+              event.preventDefault();
+            }
+            break;
+          case "ArrowRight":
+            if (!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS) break;
+
+            const nextLink = document.querySelector('link[rel="next"]');
+            if (nextLink && nextLink.href) {
+              window.location.href = nextLink.href;
+              event.preventDefault();
+            }
+            break;
+          case "Escape":
+            if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS) break;
+            Documentation.hideSearchWords();
+            event.preventDefault();
+        }
+      }
+
+      // some keyboard layouts may need Shift to get /
+      switch (event.key) {
+        case "/":
+          if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS) break;
+          Documentation.focusSearchBar();
+          event.preventDefault();
+      }
+    });
+  },
+};
+
+// quick alias for translations
+const _ = Documentation.gettext;
+
+_ready(Documentation.init);
diff --git a/trackpy/v0.6.2/_static/documentation_options.js b/trackpy/v0.6.2/_static/documentation_options.js
new file mode 100644
index 00000000..d7836cc0
--- /dev/null
+++ b/trackpy/v0.6.2/_static/documentation_options.js
@@ -0,0 +1,14 @@
+var DOCUMENTATION_OPTIONS = {
+    URL_ROOT: document.getElementById("documentation_options").getAttribute('data-url_root'),
+    VERSION: '0.6.2',
+    LANGUAGE: 'en',
+    COLLAPSE_INDEX: false,
+    BUILDER: 'html',
+    FILE_SUFFIX: '.html',
+    LINK_SUFFIX: '.html',
+    HAS_SOURCE: true,
+    SOURCELINK_SUFFIX: '.txt',
+    NAVIGATION_WITH_KEYS: false,
+    SHOW_SEARCH_SUMMARY: true,
+    ENABLE_SEARCH_SHORTCUTS: false,
+};
\ No newline at end of file
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diff --git a/trackpy/v0.6.2/_static/jquery-3.6.0.js b/trackpy/v0.6.2/_static/jquery-3.6.0.js
new file mode 100644
index 00000000..fc6c299b
--- /dev/null
+++ b/trackpy/v0.6.2/_static/jquery-3.6.0.js
@@ -0,0 +1,10881 @@
+/*!
+ * jQuery JavaScript Library v3.6.0
+ * https://jquery.com/
+ *
+ * Includes Sizzle.js
+ * https://sizzlejs.com/
+ *
+ * Copyright OpenJS Foundation and other contributors
+ * Released under the MIT license
+ * https://jquery.org/license
+ *
+ * Date: 2021-03-02T17:08Z
+ */
+( function( global, factory ) {
+
+	"use strict";
+
+	if ( typeof module === "object" && typeof module.exports === "object" ) {
+
+		// For CommonJS and CommonJS-like environments where a proper `window`
+		// is present, execute the factory and get jQuery.
+		// For environments that do not have a `window` with a `document`
+		// (such as Node.js), expose a factory as module.exports.
+		// This accentuates the need for the creation of a real `window`.
+		// e.g. var jQuery = require("jquery")(window);
+		// See ticket #14549 for more info.
+		module.exports = global.document ?
+			factory( global, true ) :
+			function( w ) {
+				if ( !w.document ) {
+					throw new Error( "jQuery requires a window with a document" );
+				}
+				return factory( w );
+			};
+	} else {
+		factory( global );
+	}
+
+// Pass this if window is not defined yet
+} )( typeof window !== "undefined" ? window : this, function( window, noGlobal ) {
+
+// Edge <= 12 - 13+, Firefox <=18 - 45+, IE 10 - 11, Safari 5.1 - 9+, iOS 6 - 9.1
+// throw exceptions when non-strict code (e.g., ASP.NET 4.5) accesses strict mode
+// arguments.callee.caller (trac-13335). But as of jQuery 3.0 (2016), strict mode should be common
+// enough that all such attempts are guarded in a try block.
+"use strict";
+
+var arr = [];
+
+var getProto = Object.getPrototypeOf;
+
+var slice = arr.slice;
+
+var flat = arr.flat ? function( array ) {
+	return arr.flat.call( array );
+} : function( array ) {
+	return arr.concat.apply( [], array );
+};
+
+
+var push = arr.push;
+
+var indexOf = arr.indexOf;
+
+var class2type = {};
+
+var toString = class2type.toString;
+
+var hasOwn = class2type.hasOwnProperty;
+
+var fnToString = hasOwn.toString;
+
+var ObjectFunctionString = fnToString.call( Object );
+
+var support = {};
+
+var isFunction = function isFunction( obj ) {
+
+		// Support: Chrome <=57, Firefox <=52
+		// In some browsers, typeof returns "function" for HTML <object> elements
+		// (i.e., `typeof document.createElement( "object" ) === "function"`).
+		// We don't want to classify *any* DOM node as a function.
+		// Support: QtWeb <=3.8.5, WebKit <=534.34, wkhtmltopdf tool <=0.12.5
+		// Plus for old WebKit, typeof returns "function" for HTML collections
+		// (e.g., `typeof document.getElementsByTagName("div") === "function"`). (gh-4756)
+		return typeof obj === "function" && typeof obj.nodeType !== "number" &&
+			typeof obj.item !== "function";
+	};
+
+
+var isWindow = function isWindow( obj ) {
+		return obj != null && obj === obj.window;
+	};
+
+
+var document = window.document;
+
+
+
+	var preservedScriptAttributes = {
+		type: true,
+		src: true,
+		nonce: true,
+		noModule: true
+	};
+
+	function DOMEval( code, node, doc ) {
+		doc = doc || document;
+
+		var i, val,
+			script = doc.createElement( "script" );
+
+		script.text = code;
+		if ( node ) {
+			for ( i in preservedScriptAttributes ) {
+
+				// Support: Firefox 64+, Edge 18+
+				// Some browsers don't support the "nonce" property on scripts.
+				// On the other hand, just using `getAttribute` is not enough as
+				// the `nonce` attribute is reset to an empty string whenever it
+				// becomes browsing-context connected.
+				// See https://github.com/whatwg/html/issues/2369
+				// See https://html.spec.whatwg.org/#nonce-attributes
+				// The `node.getAttribute` check was added for the sake of
+				// `jQuery.globalEval` so that it can fake a nonce-containing node
+				// via an object.
+				val = node[ i ] || node.getAttribute && node.getAttribute( i );
+				if ( val ) {
+					script.setAttribute( i, val );
+				}
+			}
+		}
+		doc.head.appendChild( script ).parentNode.removeChild( script );
+	}
+
+
+function toType( obj ) {
+	if ( obj == null ) {
+		return obj + "";
+	}
+
+	// Support: Android <=2.3 only (functionish RegExp)
+	return typeof obj === "object" || typeof obj === "function" ?
+		class2type[ toString.call( obj ) ] || "object" :
+		typeof obj;
+}
+/* global Symbol */
+// Defining this global in .eslintrc.json would create a danger of using the global
+// unguarded in another place, it seems safer to define global only for this module
+
+
+
+var
+	version = "3.6.0",
+
+	// Define a local copy of jQuery
+	jQuery = function( selector, context ) {
+
+		// The jQuery object is actually just the init constructor 'enhanced'
+		// Need init if jQuery is called (just allow error to be thrown if not included)
+		return new jQuery.fn.init( selector, context );
+	};
+
+jQuery.fn = jQuery.prototype = {
+
+	// The current version of jQuery being used
+	jquery: version,
+
+	constructor: jQuery,
+
+	// The default length of a jQuery object is 0
+	length: 0,
+
+	toArray: function() {
+		return slice.call( this );
+	},
+
+	// Get the Nth element in the matched element set OR
+	// Get the whole matched element set as a clean array
+	get: function( num ) {
+
+		// Return all the elements in a clean array
+		if ( num == null ) {
+			return slice.call( this );
+		}
+
+		// Return just the one element from the set
+		return num < 0 ? this[ num + this.length ] : this[ num ];
+	},
+
+	// Take an array of elements and push it onto the stack
+	// (returning the new matched element set)
+	pushStack: function( elems ) {
+
+		// Build a new jQuery matched element set
+		var ret = jQuery.merge( this.constructor(), elems );
+
+		// Add the old object onto the stack (as a reference)
+		ret.prevObject = this;
+
+		// Return the newly-formed element set
+		return ret;
+	},
+
+	// Execute a callback for every element in the matched set.
+	each: function( callback ) {
+		return jQuery.each( this, callback );
+	},
+
+	map: function( callback ) {
+		return this.pushStack( jQuery.map( this, function( elem, i ) {
+			return callback.call( elem, i, elem );
+		} ) );
+	},
+
+	slice: function() {
+		return this.pushStack( slice.apply( this, arguments ) );
+	},
+
+	first: function() {
+		return this.eq( 0 );
+	},
+
+	last: function() {
+		return this.eq( -1 );
+	},
+
+	even: function() {
+		return this.pushStack( jQuery.grep( this, function( _elem, i ) {
+			return ( i + 1 ) % 2;
+		} ) );
+	},
+
+	odd: function() {
+		return this.pushStack( jQuery.grep( this, function( _elem, i ) {
+			return i % 2;
+		} ) );
+	},
+
+	eq: function( i ) {
+		var len = this.length,
+			j = +i + ( i < 0 ? len : 0 );
+		return this.pushStack( j >= 0 && j < len ? [ this[ j ] ] : [] );
+	},
+
+	end: function() {
+		return this.prevObject || this.constructor();
+	},
+
+	// For internal use only.
+	// Behaves like an Array's method, not like a jQuery method.
+	push: push,
+	sort: arr.sort,
+	splice: arr.splice
+};
+
+jQuery.extend = jQuery.fn.extend = function() {
+	var options, name, src, copy, copyIsArray, clone,
+		target = arguments[ 0 ] || {},
+		i = 1,
+		length = arguments.length,
+		deep = false;
+
+	// Handle a deep copy situation
+	if ( typeof target === "boolean" ) {
+		deep = target;
+
+		// Skip the boolean and the target
+		target = arguments[ i ] || {};
+		i++;
+	}
+
+	// Handle case when target is a string or something (possible in deep copy)
+	if ( typeof target !== "object" && !isFunction( target ) ) {
+		target = {};
+	}
+
+	// Extend jQuery itself if only one argument is passed
+	if ( i === length ) {
+		target = this;
+		i--;
+	}
+
+	for ( ; i < length; i++ ) {
+
+		// Only deal with non-null/undefined values
+		if ( ( options = arguments[ i ] ) != null ) {
+
+			// Extend the base object
+			for ( name in options ) {
+				copy = options[ name ];
+
+				// Prevent Object.prototype pollution
+				// Prevent never-ending loop
+				if ( name === "__proto__" || target === copy ) {
+					continue;
+				}
+
+				// Recurse if we're merging plain objects or arrays
+				if ( deep && copy && ( jQuery.isPlainObject( copy ) ||
+					( copyIsArray = Array.isArray( copy ) ) ) ) {
+					src = target[ name ];
+
+					// Ensure proper type for the source value
+					if ( copyIsArray && !Array.isArray( src ) ) {
+						clone = [];
+					} else if ( !copyIsArray && !jQuery.isPlainObject( src ) ) {
+						clone = {};
+					} else {
+						clone = src;
+					}
+					copyIsArray = false;
+
+					// Never move original objects, clone them
+					target[ name ] = jQuery.extend( deep, clone, copy );
+
+				// Don't bring in undefined values
+				} else if ( copy !== undefined ) {
+					target[ name ] = copy;
+				}
+			}
+		}
+	}
+
+	// Return the modified object
+	return target;
+};
+
+jQuery.extend( {
+
+	// Unique for each copy of jQuery on the page
+	expando: "jQuery" + ( version + Math.random() ).replace( /\D/g, "" ),
+
+	// Assume jQuery is ready without the ready module
+	isReady: true,
+
+	error: function( msg ) {
+		throw new Error( msg );
+	},
+
+	noop: function() {},
+
+	isPlainObject: function( obj ) {
+		var proto, Ctor;
+
+		// Detect obvious negatives
+		// Use toString instead of jQuery.type to catch host objects
+		if ( !obj || toString.call( obj ) !== "[object Object]" ) {
+			return false;
+		}
+
+		proto = getProto( obj );
+
+		// Objects with no prototype (e.g., `Object.create( null )`) are plain
+		if ( !proto ) {
+			return true;
+		}
+
+		// Objects with prototype are plain iff they were constructed by a global Object function
+		Ctor = hasOwn.call( proto, "constructor" ) && proto.constructor;
+		return typeof Ctor === "function" && fnToString.call( Ctor ) === ObjectFunctionString;
+	},
+
+	isEmptyObject: function( obj ) {
+		var name;
+
+		for ( name in obj ) {
+			return false;
+		}
+		return true;
+	},
+
+	// Evaluates a script in a provided context; falls back to the global one
+	// if not specified.
+	globalEval: function( code, options, doc ) {
+		DOMEval( code, { nonce: options && options.nonce }, doc );
+	},
+
+	each: function( obj, callback ) {
+		var length, i = 0;
+
+		if ( isArrayLike( obj ) ) {
+			length = obj.length;
+			for ( ; i < length; i++ ) {
+				if ( callback.call( obj[ i ], i, obj[ i ] ) === false ) {
+					break;
+				}
+			}
+		} else {
+			for ( i in obj ) {
+				if ( callback.call( obj[ i ], i, obj[ i ] ) === false ) {
+					break;
+				}
+			}
+		}
+
+		return obj;
+	},
+
+	// results is for internal usage only
+	makeArray: function( arr, results ) {
+		var ret = results || [];
+
+		if ( arr != null ) {
+			if ( isArrayLike( Object( arr ) ) ) {
+				jQuery.merge( ret,
+					typeof arr === "string" ?
+						[ arr ] : arr
+				);
+			} else {
+				push.call( ret, arr );
+			}
+		}
+
+		return ret;
+	},
+
+	inArray: function( elem, arr, i ) {
+		return arr == null ? -1 : indexOf.call( arr, elem, i );
+	},
+
+	// Support: Android <=4.0 only, PhantomJS 1 only
+	// push.apply(_, arraylike) throws on ancient WebKit
+	merge: function( first, second ) {
+		var len = +second.length,
+			j = 0,
+			i = first.length;
+
+		for ( ; j < len; j++ ) {
+			first[ i++ ] = second[ j ];
+		}
+
+		first.length = i;
+
+		return first;
+	},
+
+	grep: function( elems, callback, invert ) {
+		var callbackInverse,
+			matches = [],
+			i = 0,
+			length = elems.length,
+			callbackExpect = !invert;
+
+		// Go through the array, only saving the items
+		// that pass the validator function
+		for ( ; i < length; i++ ) {
+			callbackInverse = !callback( elems[ i ], i );
+			if ( callbackInverse !== callbackExpect ) {
+				matches.push( elems[ i ] );
+			}
+		}
+
+		return matches;
+	},
+
+	// arg is for internal usage only
+	map: function( elems, callback, arg ) {
+		var length, value,
+			i = 0,
+			ret = [];
+
+		// Go through the array, translating each of the items to their new values
+		if ( isArrayLike( elems ) ) {
+			length = elems.length;
+			for ( ; i < length; i++ ) {
+				value = callback( elems[ i ], i, arg );
+
+				if ( value != null ) {
+					ret.push( value );
+				}
+			}
+
+		// Go through every key on the object,
+		} else {
+			for ( i in elems ) {
+				value = callback( elems[ i ], i, arg );
+
+				if ( value != null ) {
+					ret.push( value );
+				}
+			}
+		}
+
+		// Flatten any nested arrays
+		return flat( ret );
+	},
+
+	// A global GUID counter for objects
+	guid: 1,
+
+	// jQuery.support is not used in Core but other projects attach their
+	// properties to it so it needs to exist.
+	support: support
+} );
+
+if ( typeof Symbol === "function" ) {
+	jQuery.fn[ Symbol.iterator ] = arr[ Symbol.iterator ];
+}
+
+// Populate the class2type map
+jQuery.each( "Boolean Number String Function Array Date RegExp Object Error Symbol".split( " " ),
+	function( _i, name ) {
+		class2type[ "[object " + name + "]" ] = name.toLowerCase();
+	} );
+
+function isArrayLike( obj ) {
+
+	// Support: real iOS 8.2 only (not reproducible in simulator)
+	// `in` check used to prevent JIT error (gh-2145)
+	// hasOwn isn't used here due to false negatives
+	// regarding Nodelist length in IE
+	var length = !!obj && "length" in obj && obj.length,
+		type = toType( obj );
+
+	if ( isFunction( obj ) || isWindow( obj ) ) {
+		return false;
+	}
+
+	return type === "array" || length === 0 ||
+		typeof length === "number" && length > 0 && ( length - 1 ) in obj;
+}
+var Sizzle =
+/*!
+ * Sizzle CSS Selector Engine v2.3.6
+ * https://sizzlejs.com/
+ *
+ * Copyright JS Foundation and other contributors
+ * Released under the MIT license
+ * https://js.foundation/
+ *
+ * Date: 2021-02-16
+ */
+( function( window ) {
+var i,
+	support,
+	Expr,
+	getText,
+	isXML,
+	tokenize,
+	compile,
+	select,
+	outermostContext,
+	sortInput,
+	hasDuplicate,
+
+	// Local document vars
+	setDocument,
+	document,
+	docElem,
+	documentIsHTML,
+	rbuggyQSA,
+	rbuggyMatches,
+	matches,
+	contains,
+
+	// Instance-specific data
+	expando = "sizzle" + 1 * new Date(),
+	preferredDoc = window.document,
+	dirruns = 0,
+	done = 0,
+	classCache = createCache(),
+	tokenCache = createCache(),
+	compilerCache = createCache(),
+	nonnativeSelectorCache = createCache(),
+	sortOrder = function( a, b ) {
+		if ( a === b ) {
+			hasDuplicate = true;
+		}
+		return 0;
+	},
+
+	// Instance methods
+	hasOwn = ( {} ).hasOwnProperty,
+	arr = [],
+	pop = arr.pop,
+	pushNative = arr.push,
+	push = arr.push,
+	slice = arr.slice,
+
+	// Use a stripped-down indexOf as it's faster than native
+	// https://jsperf.com/thor-indexof-vs-for/5
+	indexOf = function( list, elem ) {
+		var i = 0,
+			len = list.length;
+		for ( ; i < len; i++ ) {
+			if ( list[ i ] === elem ) {
+				return i;
+			}
+		}
+		return -1;
+	},
+
+	booleans = "checked|selected|async|autofocus|autoplay|controls|defer|disabled|hidden|" +
+		"ismap|loop|multiple|open|readonly|required|scoped",
+
+	// Regular expressions
+
+	// http://www.w3.org/TR/css3-selectors/#whitespace
+	whitespace = "[\\x20\\t\\r\\n\\f]",
+
+	// https://www.w3.org/TR/css-syntax-3/#ident-token-diagram
+	identifier = "(?:\\\\[\\da-fA-F]{1,6}" + whitespace +
+		"?|\\\\[^\\r\\n\\f]|[\\w-]|[^\0-\\x7f])+",
+
+	// Attribute selectors: http://www.w3.org/TR/selectors/#attribute-selectors
+	attributes = "\\[" + whitespace + "*(" + identifier + ")(?:" + whitespace +
+
+		// Operator (capture 2)
+		"*([*^$|!~]?=)" + whitespace +
+
+		// "Attribute values must be CSS identifiers [capture 5]
+		// or strings [capture 3 or capture 4]"
+		"*(?:'((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\"|(" + identifier + "))|)" +
+		whitespace + "*\\]",
+
+	pseudos = ":(" + identifier + ")(?:\\((" +
+
+		// To reduce the number of selectors needing tokenize in the preFilter, prefer arguments:
+		// 1. quoted (capture 3; capture 4 or capture 5)
+		"('((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\")|" +
+
+		// 2. simple (capture 6)
+		"((?:\\\\.|[^\\\\()[\\]]|" + attributes + ")*)|" +
+
+		// 3. anything else (capture 2)
+		".*" +
+		")\\)|)",
+
+	// Leading and non-escaped trailing whitespace, capturing some non-whitespace characters preceding the latter
+	rwhitespace = new RegExp( whitespace + "+", "g" ),
+	rtrim = new RegExp( "^" + whitespace + "+|((?:^|[^\\\\])(?:\\\\.)*)" +
+		whitespace + "+$", "g" ),
+
+	rcomma = new RegExp( "^" + whitespace + "*," + whitespace + "*" ),
+	rcombinators = new RegExp( "^" + whitespace + "*([>+~]|" + whitespace + ")" + whitespace +
+		"*" ),
+	rdescend = new RegExp( whitespace + "|>" ),
+
+	rpseudo = new RegExp( pseudos ),
+	ridentifier = new RegExp( "^" + identifier + "$" ),
+
+	matchExpr = {
+		"ID": new RegExp( "^#(" + identifier + ")" ),
+		"CLASS": new RegExp( "^\\.(" + identifier + ")" ),
+		"TAG": new RegExp( "^(" + identifier + "|[*])" ),
+		"ATTR": new RegExp( "^" + attributes ),
+		"PSEUDO": new RegExp( "^" + pseudos ),
+		"CHILD": new RegExp( "^:(only|first|last|nth|nth-last)-(child|of-type)(?:\\(" +
+			whitespace + "*(even|odd|(([+-]|)(\\d*)n|)" + whitespace + "*(?:([+-]|)" +
+			whitespace + "*(\\d+)|))" + whitespace + "*\\)|)", "i" ),
+		"bool": new RegExp( "^(?:" + booleans + ")$", "i" ),
+
+		// For use in libraries implementing .is()
+		// We use this for POS matching in `select`
+		"needsContext": new RegExp( "^" + whitespace +
+			"*[>+~]|:(even|odd|eq|gt|lt|nth|first|last)(?:\\(" + whitespace +
+			"*((?:-\\d)?\\d*)" + whitespace + "*\\)|)(?=[^-]|$)", "i" )
+	},
+
+	rhtml = /HTML$/i,
+	rinputs = /^(?:input|select|textarea|button)$/i,
+	rheader = /^h\d$/i,
+
+	rnative = /^[^{]+\{\s*\[native \w/,
+
+	// Easily-parseable/retrievable ID or TAG or CLASS selectors
+	rquickExpr = /^(?:#([\w-]+)|(\w+)|\.([\w-]+))$/,
+
+	rsibling = /[+~]/,
+
+	// CSS escapes
+	// http://www.w3.org/TR/CSS21/syndata.html#escaped-characters
+	runescape = new RegExp( "\\\\[\\da-fA-F]{1,6}" + whitespace + "?|\\\\([^\\r\\n\\f])", "g" ),
+	funescape = function( escape, nonHex ) {
+		var high = "0x" + escape.slice( 1 ) - 0x10000;
+
+		return nonHex ?
+
+			// Strip the backslash prefix from a non-hex escape sequence
+			nonHex :
+
+			// Replace a hexadecimal escape sequence with the encoded Unicode code point
+			// Support: IE <=11+
+			// For values outside the Basic Multilingual Plane (BMP), manually construct a
+			// surrogate pair
+			high < 0 ?
+				String.fromCharCode( high + 0x10000 ) :
+				String.fromCharCode( high >> 10 | 0xD800, high & 0x3FF | 0xDC00 );
+	},
+
+	// CSS string/identifier serialization
+	// https://drafts.csswg.org/cssom/#common-serializing-idioms
+	rcssescape = /([\0-\x1f\x7f]|^-?\d)|^-$|[^\0-\x1f\x7f-\uFFFF\w-]/g,
+	fcssescape = function( ch, asCodePoint ) {
+		if ( asCodePoint ) {
+
+			// U+0000 NULL becomes U+FFFD REPLACEMENT CHARACTER
+			if ( ch === "\0" ) {
+				return "\uFFFD";
+			}
+
+			// Control characters and (dependent upon position) numbers get escaped as code points
+			return ch.slice( 0, -1 ) + "\\" +
+				ch.charCodeAt( ch.length - 1 ).toString( 16 ) + " ";
+		}
+
+		// Other potentially-special ASCII characters get backslash-escaped
+		return "\\" + ch;
+	},
+
+	// Used for iframes
+	// See setDocument()
+	// Removing the function wrapper causes a "Permission Denied"
+	// error in IE
+	unloadHandler = function() {
+		setDocument();
+	},
+
+	inDisabledFieldset = addCombinator(
+		function( elem ) {
+			return elem.disabled === true && elem.nodeName.toLowerCase() === "fieldset";
+		},
+		{ dir: "parentNode", next: "legend" }
+	);
+
+// Optimize for push.apply( _, NodeList )
+try {
+	push.apply(
+		( arr = slice.call( preferredDoc.childNodes ) ),
+		preferredDoc.childNodes
+	);
+
+	// Support: Android<4.0
+	// Detect silently failing push.apply
+	// eslint-disable-next-line no-unused-expressions
+	arr[ preferredDoc.childNodes.length ].nodeType;
+} catch ( e ) {
+	push = { apply: arr.length ?
+
+		// Leverage slice if possible
+		function( target, els ) {
+			pushNative.apply( target, slice.call( els ) );
+		} :
+
+		// Support: IE<9
+		// Otherwise append directly
+		function( target, els ) {
+			var j = target.length,
+				i = 0;
+
+			// Can't trust NodeList.length
+			while ( ( target[ j++ ] = els[ i++ ] ) ) {}
+			target.length = j - 1;
+		}
+	};
+}
+
+function Sizzle( selector, context, results, seed ) {
+	var m, i, elem, nid, match, groups, newSelector,
+		newContext = context && context.ownerDocument,
+
+		// nodeType defaults to 9, since context defaults to document
+		nodeType = context ? context.nodeType : 9;
+
+	results = results || [];
+
+	// Return early from calls with invalid selector or context
+	if ( typeof selector !== "string" || !selector ||
+		nodeType !== 1 && nodeType !== 9 && nodeType !== 11 ) {
+
+		return results;
+	}
+
+	// Try to shortcut find operations (as opposed to filters) in HTML documents
+	if ( !seed ) {
+		setDocument( context );
+		context = context || document;
+
+		if ( documentIsHTML ) {
+
+			// If the selector is sufficiently simple, try using a "get*By*" DOM method
+			// (excepting DocumentFragment context, where the methods don't exist)
+			if ( nodeType !== 11 && ( match = rquickExpr.exec( selector ) ) ) {
+
+				// ID selector
+				if ( ( m = match[ 1 ] ) ) {
+
+					// Document context
+					if ( nodeType === 9 ) {
+						if ( ( elem = context.getElementById( m ) ) ) {
+
+							// Support: IE, Opera, Webkit
+							// TODO: identify versions
+							// getElementById can match elements by name instead of ID
+							if ( elem.id === m ) {
+								results.push( elem );
+								return results;
+							}
+						} else {
+							return results;
+						}
+
+					// Element context
+					} else {
+
+						// Support: IE, Opera, Webkit
+						// TODO: identify versions
+						// getElementById can match elements by name instead of ID
+						if ( newContext && ( elem = newContext.getElementById( m ) ) &&
+							contains( context, elem ) &&
+							elem.id === m ) {
+
+							results.push( elem );
+							return results;
+						}
+					}
+
+				// Type selector
+				} else if ( match[ 2 ] ) {
+					push.apply( results, context.getElementsByTagName( selector ) );
+					return results;
+
+				// Class selector
+				} else if ( ( m = match[ 3 ] ) && support.getElementsByClassName &&
+					context.getElementsByClassName ) {
+
+					push.apply( results, context.getElementsByClassName( m ) );
+					return results;
+				}
+			}
+
+			// Take advantage of querySelectorAll
+			if ( support.qsa &&
+				!nonnativeSelectorCache[ selector + " " ] &&
+				( !rbuggyQSA || !rbuggyQSA.test( selector ) ) &&
+
+				// Support: IE 8 only
+				// Exclude object elements
+				( nodeType !== 1 || context.nodeName.toLowerCase() !== "object" ) ) {
+
+				newSelector = selector;
+				newContext = context;
+
+				// qSA considers elements outside a scoping root when evaluating child or
+				// descendant combinators, which is not what we want.
+				// In such cases, we work around the behavior by prefixing every selector in the
+				// list with an ID selector referencing the scope context.
+				// The technique has to be used as well when a leading combinator is used
+				// as such selectors are not recognized by querySelectorAll.
+				// Thanks to Andrew Dupont for this technique.
+				if ( nodeType === 1 &&
+					( rdescend.test( selector ) || rcombinators.test( selector ) ) ) {
+
+					// Expand context for sibling selectors
+					newContext = rsibling.test( selector ) && testContext( context.parentNode ) ||
+						context;
+
+					// We can use :scope instead of the ID hack if the browser
+					// supports it & if we're not changing the context.
+					if ( newContext !== context || !support.scope ) {
+
+						// Capture the context ID, setting it first if necessary
+						if ( ( nid = context.getAttribute( "id" ) ) ) {
+							nid = nid.replace( rcssescape, fcssescape );
+						} else {
+							context.setAttribute( "id", ( nid = expando ) );
+						}
+					}
+
+					// Prefix every selector in the list
+					groups = tokenize( selector );
+					i = groups.length;
+					while ( i-- ) {
+						groups[ i ] = ( nid ? "#" + nid : ":scope" ) + " " +
+							toSelector( groups[ i ] );
+					}
+					newSelector = groups.join( "," );
+				}
+
+				try {
+					push.apply( results,
+						newContext.querySelectorAll( newSelector )
+					);
+					return results;
+				} catch ( qsaError ) {
+					nonnativeSelectorCache( selector, true );
+				} finally {
+					if ( nid === expando ) {
+						context.removeAttribute( "id" );
+					}
+				}
+			}
+		}
+	}
+
+	// All others
+	return select( selector.replace( rtrim, "$1" ), context, results, seed );
+}
+
+/**
+ * Create key-value caches of limited size
+ * @returns {function(string, object)} Returns the Object data after storing it on itself with
+ *	property name the (space-suffixed) string and (if the cache is larger than Expr.cacheLength)
+ *	deleting the oldest entry
+ */
+function createCache() {
+	var keys = [];
+
+	function cache( key, value ) {
+
+		// Use (key + " ") to avoid collision with native prototype properties (see Issue #157)
+		if ( keys.push( key + " " ) > Expr.cacheLength ) {
+
+			// Only keep the most recent entries
+			delete cache[ keys.shift() ];
+		}
+		return ( cache[ key + " " ] = value );
+	}
+	return cache;
+}
+
+/**
+ * Mark a function for special use by Sizzle
+ * @param {Function} fn The function to mark
+ */
+function markFunction( fn ) {
+	fn[ expando ] = true;
+	return fn;
+}
+
+/**
+ * Support testing using an element
+ * @param {Function} fn Passed the created element and returns a boolean result
+ */
+function assert( fn ) {
+	var el = document.createElement( "fieldset" );
+
+	try {
+		return !!fn( el );
+	} catch ( e ) {
+		return false;
+	} finally {
+
+		// Remove from its parent by default
+		if ( el.parentNode ) {
+			el.parentNode.removeChild( el );
+		}
+
+		// release memory in IE
+		el = null;
+	}
+}
+
+/**
+ * Adds the same handler for all of the specified attrs
+ * @param {String} attrs Pipe-separated list of attributes
+ * @param {Function} handler The method that will be applied
+ */
+function addHandle( attrs, handler ) {
+	var arr = attrs.split( "|" ),
+		i = arr.length;
+
+	while ( i-- ) {
+		Expr.attrHandle[ arr[ i ] ] = handler;
+	}
+}
+
+/**
+ * Checks document order of two siblings
+ * @param {Element} a
+ * @param {Element} b
+ * @returns {Number} Returns less than 0 if a precedes b, greater than 0 if a follows b
+ */
+function siblingCheck( a, b ) {
+	var cur = b && a,
+		diff = cur && a.nodeType === 1 && b.nodeType === 1 &&
+			a.sourceIndex - b.sourceIndex;
+
+	// Use IE sourceIndex if available on both nodes
+	if ( diff ) {
+		return diff;
+	}
+
+	// Check if b follows a
+	if ( cur ) {
+		while ( ( cur = cur.nextSibling ) ) {
+			if ( cur === b ) {
+				return -1;
+			}
+		}
+	}
+
+	return a ? 1 : -1;
+}
+
+/**
+ * Returns a function to use in pseudos for input types
+ * @param {String} type
+ */
+function createInputPseudo( type ) {
+	return function( elem ) {
+		var name = elem.nodeName.toLowerCase();
+		return name === "input" && elem.type === type;
+	};
+}
+
+/**
+ * Returns a function to use in pseudos for buttons
+ * @param {String} type
+ */
+function createButtonPseudo( type ) {
+	return function( elem ) {
+		var name = elem.nodeName.toLowerCase();
+		return ( name === "input" || name === "button" ) && elem.type === type;
+	};
+}
+
+/**
+ * Returns a function to use in pseudos for :enabled/:disabled
+ * @param {Boolean} disabled true for :disabled; false for :enabled
+ */
+function createDisabledPseudo( disabled ) {
+
+	// Known :disabled false positives: fieldset[disabled] > legend:nth-of-type(n+2) :can-disable
+	return function( elem ) {
+
+		// Only certain elements can match :enabled or :disabled
+		// https://html.spec.whatwg.org/multipage/scripting.html#selector-enabled
+		// https://html.spec.whatwg.org/multipage/scripting.html#selector-disabled
+		if ( "form" in elem ) {
+
+			// Check for inherited disabledness on relevant non-disabled elements:
+			// * listed form-associated elements in a disabled fieldset
+			//   https://html.spec.whatwg.org/multipage/forms.html#category-listed
+			//   https://html.spec.whatwg.org/multipage/forms.html#concept-fe-disabled
+			// * option elements in a disabled optgroup
+			//   https://html.spec.whatwg.org/multipage/forms.html#concept-option-disabled
+			// All such elements have a "form" property.
+			if ( elem.parentNode && elem.disabled === false ) {
+
+				// Option elements defer to a parent optgroup if present
+				if ( "label" in elem ) {
+					if ( "label" in elem.parentNode ) {
+						return elem.parentNode.disabled === disabled;
+					} else {
+						return elem.disabled === disabled;
+					}
+				}
+
+				// Support: IE 6 - 11
+				// Use the isDisabled shortcut property to check for disabled fieldset ancestors
+				return elem.isDisabled === disabled ||
+
+					// Where there is no isDisabled, check manually
+					/* jshint -W018 */
+					elem.isDisabled !== !disabled &&
+					inDisabledFieldset( elem ) === disabled;
+			}
+
+			return elem.disabled === disabled;
+
+		// Try to winnow out elements that can't be disabled before trusting the disabled property.
+		// Some victims get caught in our net (label, legend, menu, track), but it shouldn't
+		// even exist on them, let alone have a boolean value.
+		} else if ( "label" in elem ) {
+			return elem.disabled === disabled;
+		}
+
+		// Remaining elements are neither :enabled nor :disabled
+		return false;
+	};
+}
+
+/**
+ * Returns a function to use in pseudos for positionals
+ * @param {Function} fn
+ */
+function createPositionalPseudo( fn ) {
+	return markFunction( function( argument ) {
+		argument = +argument;
+		return markFunction( function( seed, matches ) {
+			var j,
+				matchIndexes = fn( [], seed.length, argument ),
+				i = matchIndexes.length;
+
+			// Match elements found at the specified indexes
+			while ( i-- ) {
+				if ( seed[ ( j = matchIndexes[ i ] ) ] ) {
+					seed[ j ] = !( matches[ j ] = seed[ j ] );
+				}
+			}
+		} );
+	} );
+}
+
+/**
+ * Checks a node for validity as a Sizzle context
+ * @param {Element|Object=} context
+ * @returns {Element|Object|Boolean} The input node if acceptable, otherwise a falsy value
+ */
+function testContext( context ) {
+	return context && typeof context.getElementsByTagName !== "undefined" && context;
+}
+
+// Expose support vars for convenience
+support = Sizzle.support = {};
+
+/**
+ * Detects XML nodes
+ * @param {Element|Object} elem An element or a document
+ * @returns {Boolean} True iff elem is a non-HTML XML node
+ */
+isXML = Sizzle.isXML = function( elem ) {
+	var namespace = elem && elem.namespaceURI,
+		docElem = elem && ( elem.ownerDocument || elem ).documentElement;
+
+	// Support: IE <=8
+	// Assume HTML when documentElement doesn't yet exist, such as inside loading iframes
+	// https://bugs.jquery.com/ticket/4833
+	return !rhtml.test( namespace || docElem && docElem.nodeName || "HTML" );
+};
+
+/**
+ * Sets document-related variables once based on the current document
+ * @param {Element|Object} [doc] An element or document object to use to set the document
+ * @returns {Object} Returns the current document
+ */
+setDocument = Sizzle.setDocument = function( node ) {
+	var hasCompare, subWindow,
+		doc = node ? node.ownerDocument || node : preferredDoc;
+
+	// Return early if doc is invalid or already selected
+	// Support: IE 11+, Edge 17 - 18+
+	// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+	// two documents; shallow comparisons work.
+	// eslint-disable-next-line eqeqeq
+	if ( doc == document || doc.nodeType !== 9 || !doc.documentElement ) {
+		return document;
+	}
+
+	// Update global variables
+	document = doc;
+	docElem = document.documentElement;
+	documentIsHTML = !isXML( document );
+
+	// Support: IE 9 - 11+, Edge 12 - 18+
+	// Accessing iframe documents after unload throws "permission denied" errors (jQuery #13936)
+	// Support: IE 11+, Edge 17 - 18+
+	// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+	// two documents; shallow comparisons work.
+	// eslint-disable-next-line eqeqeq
+	if ( preferredDoc != document &&
+		( subWindow = document.defaultView ) && subWindow.top !== subWindow ) {
+
+		// Support: IE 11, Edge
+		if ( subWindow.addEventListener ) {
+			subWindow.addEventListener( "unload", unloadHandler, false );
+
+		// Support: IE 9 - 10 only
+		} else if ( subWindow.attachEvent ) {
+			subWindow.attachEvent( "onunload", unloadHandler );
+		}
+	}
+
+	// Support: IE 8 - 11+, Edge 12 - 18+, Chrome <=16 - 25 only, Firefox <=3.6 - 31 only,
+	// Safari 4 - 5 only, Opera <=11.6 - 12.x only
+	// IE/Edge & older browsers don't support the :scope pseudo-class.
+	// Support: Safari 6.0 only
+	// Safari 6.0 supports :scope but it's an alias of :root there.
+	support.scope = assert( function( el ) {
+		docElem.appendChild( el ).appendChild( document.createElement( "div" ) );
+		return typeof el.querySelectorAll !== "undefined" &&
+			!el.querySelectorAll( ":scope fieldset div" ).length;
+	} );
+
+	/* Attributes
+	---------------------------------------------------------------------- */
+
+	// Support: IE<8
+	// Verify that getAttribute really returns attributes and not properties
+	// (excepting IE8 booleans)
+	support.attributes = assert( function( el ) {
+		el.className = "i";
+		return !el.getAttribute( "className" );
+	} );
+
+	/* getElement(s)By*
+	---------------------------------------------------------------------- */
+
+	// Check if getElementsByTagName("*") returns only elements
+	support.getElementsByTagName = assert( function( el ) {
+		el.appendChild( document.createComment( "" ) );
+		return !el.getElementsByTagName( "*" ).length;
+	} );
+
+	// Support: IE<9
+	support.getElementsByClassName = rnative.test( document.getElementsByClassName );
+
+	// Support: IE<10
+	// Check if getElementById returns elements by name
+	// The broken getElementById methods don't pick up programmatically-set names,
+	// so use a roundabout getElementsByName test
+	support.getById = assert( function( el ) {
+		docElem.appendChild( el ).id = expando;
+		return !document.getElementsByName || !document.getElementsByName( expando ).length;
+	} );
+
+	// ID filter and find
+	if ( support.getById ) {
+		Expr.filter[ "ID" ] = function( id ) {
+			var attrId = id.replace( runescape, funescape );
+			return function( elem ) {
+				return elem.getAttribute( "id" ) === attrId;
+			};
+		};
+		Expr.find[ "ID" ] = function( id, context ) {
+			if ( typeof context.getElementById !== "undefined" && documentIsHTML ) {
+				var elem = context.getElementById( id );
+				return elem ? [ elem ] : [];
+			}
+		};
+	} else {
+		Expr.filter[ "ID" ] =  function( id ) {
+			var attrId = id.replace( runescape, funescape );
+			return function( elem ) {
+				var node = typeof elem.getAttributeNode !== "undefined" &&
+					elem.getAttributeNode( "id" );
+				return node && node.value === attrId;
+			};
+		};
+
+		// Support: IE 6 - 7 only
+		// getElementById is not reliable as a find shortcut
+		Expr.find[ "ID" ] = function( id, context ) {
+			if ( typeof context.getElementById !== "undefined" && documentIsHTML ) {
+				var node, i, elems,
+					elem = context.getElementById( id );
+
+				if ( elem ) {
+
+					// Verify the id attribute
+					node = elem.getAttributeNode( "id" );
+					if ( node && node.value === id ) {
+						return [ elem ];
+					}
+
+					// Fall back on getElementsByName
+					elems = context.getElementsByName( id );
+					i = 0;
+					while ( ( elem = elems[ i++ ] ) ) {
+						node = elem.getAttributeNode( "id" );
+						if ( node && node.value === id ) {
+							return [ elem ];
+						}
+					}
+				}
+
+				return [];
+			}
+		};
+	}
+
+	// Tag
+	Expr.find[ "TAG" ] = support.getElementsByTagName ?
+		function( tag, context ) {
+			if ( typeof context.getElementsByTagName !== "undefined" ) {
+				return context.getElementsByTagName( tag );
+
+			// DocumentFragment nodes don't have gEBTN
+			} else if ( support.qsa ) {
+				return context.querySelectorAll( tag );
+			}
+		} :
+
+		function( tag, context ) {
+			var elem,
+				tmp = [],
+				i = 0,
+
+				// By happy coincidence, a (broken) gEBTN appears on DocumentFragment nodes too
+				results = context.getElementsByTagName( tag );
+
+			// Filter out possible comments
+			if ( tag === "*" ) {
+				while ( ( elem = results[ i++ ] ) ) {
+					if ( elem.nodeType === 1 ) {
+						tmp.push( elem );
+					}
+				}
+
+				return tmp;
+			}
+			return results;
+		};
+
+	// Class
+	Expr.find[ "CLASS" ] = support.getElementsByClassName && function( className, context ) {
+		if ( typeof context.getElementsByClassName !== "undefined" && documentIsHTML ) {
+			return context.getElementsByClassName( className );
+		}
+	};
+
+	/* QSA/matchesSelector
+	---------------------------------------------------------------------- */
+
+	// QSA and matchesSelector support
+
+	// matchesSelector(:active) reports false when true (IE9/Opera 11.5)
+	rbuggyMatches = [];
+
+	// qSa(:focus) reports false when true (Chrome 21)
+	// We allow this because of a bug in IE8/9 that throws an error
+	// whenever `document.activeElement` is accessed on an iframe
+	// So, we allow :focus to pass through QSA all the time to avoid the IE error
+	// See https://bugs.jquery.com/ticket/13378
+	rbuggyQSA = [];
+
+	if ( ( support.qsa = rnative.test( document.querySelectorAll ) ) ) {
+
+		// Build QSA regex
+		// Regex strategy adopted from Diego Perini
+		assert( function( el ) {
+
+			var input;
+
+			// Select is set to empty string on purpose
+			// This is to test IE's treatment of not explicitly
+			// setting a boolean content attribute,
+			// since its presence should be enough
+			// https://bugs.jquery.com/ticket/12359
+			docElem.appendChild( el ).innerHTML = "<a id='" + expando + "'></a>" +
+				"<select id='" + expando + "-\r\\' msallowcapture=''>" +
+				"<option selected=''></option></select>";
+
+			// Support: IE8, Opera 11-12.16
+			// Nothing should be selected when empty strings follow ^= or $= or *=
+			// The test attribute must be unknown in Opera but "safe" for WinRT
+			// https://msdn.microsoft.com/en-us/library/ie/hh465388.aspx#attribute_section
+			if ( el.querySelectorAll( "[msallowcapture^='']" ).length ) {
+				rbuggyQSA.push( "[*^$]=" + whitespace + "*(?:''|\"\")" );
+			}
+
+			// Support: IE8
+			// Boolean attributes and "value" are not treated correctly
+			if ( !el.querySelectorAll( "[selected]" ).length ) {
+				rbuggyQSA.push( "\\[" + whitespace + "*(?:value|" + booleans + ")" );
+			}
+
+			// Support: Chrome<29, Android<4.4, Safari<7.0+, iOS<7.0+, PhantomJS<1.9.8+
+			if ( !el.querySelectorAll( "[id~=" + expando + "-]" ).length ) {
+				rbuggyQSA.push( "~=" );
+			}
+
+			// Support: IE 11+, Edge 15 - 18+
+			// IE 11/Edge don't find elements on a `[name='']` query in some cases.
+			// Adding a temporary attribute to the document before the selection works
+			// around the issue.
+			// Interestingly, IE 10 & older don't seem to have the issue.
+			input = document.createElement( "input" );
+			input.setAttribute( "name", "" );
+			el.appendChild( input );
+			if ( !el.querySelectorAll( "[name='']" ).length ) {
+				rbuggyQSA.push( "\\[" + whitespace + "*name" + whitespace + "*=" +
+					whitespace + "*(?:''|\"\")" );
+			}
+
+			// Webkit/Opera - :checked should return selected option elements
+			// http://www.w3.org/TR/2011/REC-css3-selectors-20110929/#checked
+			// IE8 throws error here and will not see later tests
+			if ( !el.querySelectorAll( ":checked" ).length ) {
+				rbuggyQSA.push( ":checked" );
+			}
+
+			// Support: Safari 8+, iOS 8+
+			// https://bugs.webkit.org/show_bug.cgi?id=136851
+			// In-page `selector#id sibling-combinator selector` fails
+			if ( !el.querySelectorAll( "a#" + expando + "+*" ).length ) {
+				rbuggyQSA.push( ".#.+[+~]" );
+			}
+
+			// Support: Firefox <=3.6 - 5 only
+			// Old Firefox doesn't throw on a badly-escaped identifier.
+			el.querySelectorAll( "\\\f" );
+			rbuggyQSA.push( "[\\r\\n\\f]" );
+		} );
+
+		assert( function( el ) {
+			el.innerHTML = "<a href='' disabled='disabled'></a>" +
+				"<select disabled='disabled'><option/></select>";
+
+			// Support: Windows 8 Native Apps
+			// The type and name attributes are restricted during .innerHTML assignment
+			var input = document.createElement( "input" );
+			input.setAttribute( "type", "hidden" );
+			el.appendChild( input ).setAttribute( "name", "D" );
+
+			// Support: IE8
+			// Enforce case-sensitivity of name attribute
+			if ( el.querySelectorAll( "[name=d]" ).length ) {
+				rbuggyQSA.push( "name" + whitespace + "*[*^$|!~]?=" );
+			}
+
+			// FF 3.5 - :enabled/:disabled and hidden elements (hidden elements are still enabled)
+			// IE8 throws error here and will not see later tests
+			if ( el.querySelectorAll( ":enabled" ).length !== 2 ) {
+				rbuggyQSA.push( ":enabled", ":disabled" );
+			}
+
+			// Support: IE9-11+
+			// IE's :disabled selector does not pick up the children of disabled fieldsets
+			docElem.appendChild( el ).disabled = true;
+			if ( el.querySelectorAll( ":disabled" ).length !== 2 ) {
+				rbuggyQSA.push( ":enabled", ":disabled" );
+			}
+
+			// Support: Opera 10 - 11 only
+			// Opera 10-11 does not throw on post-comma invalid pseudos
+			el.querySelectorAll( "*,:x" );
+			rbuggyQSA.push( ",.*:" );
+		} );
+	}
+
+	if ( ( support.matchesSelector = rnative.test( ( matches = docElem.matches ||
+		docElem.webkitMatchesSelector ||
+		docElem.mozMatchesSelector ||
+		docElem.oMatchesSelector ||
+		docElem.msMatchesSelector ) ) ) ) {
+
+		assert( function( el ) {
+
+			// Check to see if it's possible to do matchesSelector
+			// on a disconnected node (IE 9)
+			support.disconnectedMatch = matches.call( el, "*" );
+
+			// This should fail with an exception
+			// Gecko does not error, returns false instead
+			matches.call( el, "[s!='']:x" );
+			rbuggyMatches.push( "!=", pseudos );
+		} );
+	}
+
+	rbuggyQSA = rbuggyQSA.length && new RegExp( rbuggyQSA.join( "|" ) );
+	rbuggyMatches = rbuggyMatches.length && new RegExp( rbuggyMatches.join( "|" ) );
+
+	/* Contains
+	---------------------------------------------------------------------- */
+	hasCompare = rnative.test( docElem.compareDocumentPosition );
+
+	// Element contains another
+	// Purposefully self-exclusive
+	// As in, an element does not contain itself
+	contains = hasCompare || rnative.test( docElem.contains ) ?
+		function( a, b ) {
+			var adown = a.nodeType === 9 ? a.documentElement : a,
+				bup = b && b.parentNode;
+			return a === bup || !!( bup && bup.nodeType === 1 && (
+				adown.contains ?
+					adown.contains( bup ) :
+					a.compareDocumentPosition && a.compareDocumentPosition( bup ) & 16
+			) );
+		} :
+		function( a, b ) {
+			if ( b ) {
+				while ( ( b = b.parentNode ) ) {
+					if ( b === a ) {
+						return true;
+					}
+				}
+			}
+			return false;
+		};
+
+	/* Sorting
+	---------------------------------------------------------------------- */
+
+	// Document order sorting
+	sortOrder = hasCompare ?
+	function( a, b ) {
+
+		// Flag for duplicate removal
+		if ( a === b ) {
+			hasDuplicate = true;
+			return 0;
+		}
+
+		// Sort on method existence if only one input has compareDocumentPosition
+		var compare = !a.compareDocumentPosition - !b.compareDocumentPosition;
+		if ( compare ) {
+			return compare;
+		}
+
+		// Calculate position if both inputs belong to the same document
+		// Support: IE 11+, Edge 17 - 18+
+		// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+		// two documents; shallow comparisons work.
+		// eslint-disable-next-line eqeqeq
+		compare = ( a.ownerDocument || a ) == ( b.ownerDocument || b ) ?
+			a.compareDocumentPosition( b ) :
+
+			// Otherwise we know they are disconnected
+			1;
+
+		// Disconnected nodes
+		if ( compare & 1 ||
+			( !support.sortDetached && b.compareDocumentPosition( a ) === compare ) ) {
+
+			// Choose the first element that is related to our preferred document
+			// Support: IE 11+, Edge 17 - 18+
+			// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+			// two documents; shallow comparisons work.
+			// eslint-disable-next-line eqeqeq
+			if ( a == document || a.ownerDocument == preferredDoc &&
+				contains( preferredDoc, a ) ) {
+				return -1;
+			}
+
+			// Support: IE 11+, Edge 17 - 18+
+			// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+			// two documents; shallow comparisons work.
+			// eslint-disable-next-line eqeqeq
+			if ( b == document || b.ownerDocument == preferredDoc &&
+				contains( preferredDoc, b ) ) {
+				return 1;
+			}
+
+			// Maintain original order
+			return sortInput ?
+				( indexOf( sortInput, a ) - indexOf( sortInput, b ) ) :
+				0;
+		}
+
+		return compare & 4 ? -1 : 1;
+	} :
+	function( a, b ) {
+
+		// Exit early if the nodes are identical
+		if ( a === b ) {
+			hasDuplicate = true;
+			return 0;
+		}
+
+		var cur,
+			i = 0,
+			aup = a.parentNode,
+			bup = b.parentNode,
+			ap = [ a ],
+			bp = [ b ];
+
+		// Parentless nodes are either documents or disconnected
+		if ( !aup || !bup ) {
+
+			// Support: IE 11+, Edge 17 - 18+
+			// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+			// two documents; shallow comparisons work.
+			/* eslint-disable eqeqeq */
+			return a == document ? -1 :
+				b == document ? 1 :
+				/* eslint-enable eqeqeq */
+				aup ? -1 :
+				bup ? 1 :
+				sortInput ?
+				( indexOf( sortInput, a ) - indexOf( sortInput, b ) ) :
+				0;
+
+		// If the nodes are siblings, we can do a quick check
+		} else if ( aup === bup ) {
+			return siblingCheck( a, b );
+		}
+
+		// Otherwise we need full lists of their ancestors for comparison
+		cur = a;
+		while ( ( cur = cur.parentNode ) ) {
+			ap.unshift( cur );
+		}
+		cur = b;
+		while ( ( cur = cur.parentNode ) ) {
+			bp.unshift( cur );
+		}
+
+		// Walk down the tree looking for a discrepancy
+		while ( ap[ i ] === bp[ i ] ) {
+			i++;
+		}
+
+		return i ?
+
+			// Do a sibling check if the nodes have a common ancestor
+			siblingCheck( ap[ i ], bp[ i ] ) :
+
+			// Otherwise nodes in our document sort first
+			// Support: IE 11+, Edge 17 - 18+
+			// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+			// two documents; shallow comparisons work.
+			/* eslint-disable eqeqeq */
+			ap[ i ] == preferredDoc ? -1 :
+			bp[ i ] == preferredDoc ? 1 :
+			/* eslint-enable eqeqeq */
+			0;
+	};
+
+	return document;
+};
+
+Sizzle.matches = function( expr, elements ) {
+	return Sizzle( expr, null, null, elements );
+};
+
+Sizzle.matchesSelector = function( elem, expr ) {
+	setDocument( elem );
+
+	if ( support.matchesSelector && documentIsHTML &&
+		!nonnativeSelectorCache[ expr + " " ] &&
+		( !rbuggyMatches || !rbuggyMatches.test( expr ) ) &&
+		( !rbuggyQSA     || !rbuggyQSA.test( expr ) ) ) {
+
+		try {
+			var ret = matches.call( elem, expr );
+
+			// IE 9's matchesSelector returns false on disconnected nodes
+			if ( ret || support.disconnectedMatch ||
+
+				// As well, disconnected nodes are said to be in a document
+				// fragment in IE 9
+				elem.document && elem.document.nodeType !== 11 ) {
+				return ret;
+			}
+		} catch ( e ) {
+			nonnativeSelectorCache( expr, true );
+		}
+	}
+
+	return Sizzle( expr, document, null, [ elem ] ).length > 0;
+};
+
+Sizzle.contains = function( context, elem ) {
+
+	// Set document vars if needed
+	// Support: IE 11+, Edge 17 - 18+
+	// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+	// two documents; shallow comparisons work.
+	// eslint-disable-next-line eqeqeq
+	if ( ( context.ownerDocument || context ) != document ) {
+		setDocument( context );
+	}
+	return contains( context, elem );
+};
+
+Sizzle.attr = function( elem, name ) {
+
+	// Set document vars if needed
+	// Support: IE 11+, Edge 17 - 18+
+	// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+	// two documents; shallow comparisons work.
+	// eslint-disable-next-line eqeqeq
+	if ( ( elem.ownerDocument || elem ) != document ) {
+		setDocument( elem );
+	}
+
+	var fn = Expr.attrHandle[ name.toLowerCase() ],
+
+		// Don't get fooled by Object.prototype properties (jQuery #13807)
+		val = fn && hasOwn.call( Expr.attrHandle, name.toLowerCase() ) ?
+			fn( elem, name, !documentIsHTML ) :
+			undefined;
+
+	return val !== undefined ?
+		val :
+		support.attributes || !documentIsHTML ?
+			elem.getAttribute( name ) :
+			( val = elem.getAttributeNode( name ) ) && val.specified ?
+				val.value :
+				null;
+};
+
+Sizzle.escape = function( sel ) {
+	return ( sel + "" ).replace( rcssescape, fcssescape );
+};
+
+Sizzle.error = function( msg ) {
+	throw new Error( "Syntax error, unrecognized expression: " + msg );
+};
+
+/**
+ * Document sorting and removing duplicates
+ * @param {ArrayLike} results
+ */
+Sizzle.uniqueSort = function( results ) {
+	var elem,
+		duplicates = [],
+		j = 0,
+		i = 0;
+
+	// Unless we *know* we can detect duplicates, assume their presence
+	hasDuplicate = !support.detectDuplicates;
+	sortInput = !support.sortStable && results.slice( 0 );
+	results.sort( sortOrder );
+
+	if ( hasDuplicate ) {
+		while ( ( elem = results[ i++ ] ) ) {
+			if ( elem === results[ i ] ) {
+				j = duplicates.push( i );
+			}
+		}
+		while ( j-- ) {
+			results.splice( duplicates[ j ], 1 );
+		}
+	}
+
+	// Clear input after sorting to release objects
+	// See https://github.com/jquery/sizzle/pull/225
+	sortInput = null;
+
+	return results;
+};
+
+/**
+ * Utility function for retrieving the text value of an array of DOM nodes
+ * @param {Array|Element} elem
+ */
+getText = Sizzle.getText = function( elem ) {
+	var node,
+		ret = "",
+		i = 0,
+		nodeType = elem.nodeType;
+
+	if ( !nodeType ) {
+
+		// If no nodeType, this is expected to be an array
+		while ( ( node = elem[ i++ ] ) ) {
+
+			// Do not traverse comment nodes
+			ret += getText( node );
+		}
+	} else if ( nodeType === 1 || nodeType === 9 || nodeType === 11 ) {
+
+		// Use textContent for elements
+		// innerText usage removed for consistency of new lines (jQuery #11153)
+		if ( typeof elem.textContent === "string" ) {
+			return elem.textContent;
+		} else {
+
+			// Traverse its children
+			for ( elem = elem.firstChild; elem; elem = elem.nextSibling ) {
+				ret += getText( elem );
+			}
+		}
+	} else if ( nodeType === 3 || nodeType === 4 ) {
+		return elem.nodeValue;
+	}
+
+	// Do not include comment or processing instruction nodes
+
+	return ret;
+};
+
+Expr = Sizzle.selectors = {
+
+	// Can be adjusted by the user
+	cacheLength: 50,
+
+	createPseudo: markFunction,
+
+	match: matchExpr,
+
+	attrHandle: {},
+
+	find: {},
+
+	relative: {
+		">": { dir: "parentNode", first: true },
+		" ": { dir: "parentNode" },
+		"+": { dir: "previousSibling", first: true },
+		"~": { dir: "previousSibling" }
+	},
+
+	preFilter: {
+		"ATTR": function( match ) {
+			match[ 1 ] = match[ 1 ].replace( runescape, funescape );
+
+			// Move the given value to match[3] whether quoted or unquoted
+			match[ 3 ] = ( match[ 3 ] || match[ 4 ] ||
+				match[ 5 ] || "" ).replace( runescape, funescape );
+
+			if ( match[ 2 ] === "~=" ) {
+				match[ 3 ] = " " + match[ 3 ] + " ";
+			}
+
+			return match.slice( 0, 4 );
+		},
+
+		"CHILD": function( match ) {
+
+			/* matches from matchExpr["CHILD"]
+				1 type (only|nth|...)
+				2 what (child|of-type)
+				3 argument (even|odd|\d*|\d*n([+-]\d+)?|...)
+				4 xn-component of xn+y argument ([+-]?\d*n|)
+				5 sign of xn-component
+				6 x of xn-component
+				7 sign of y-component
+				8 y of y-component
+			*/
+			match[ 1 ] = match[ 1 ].toLowerCase();
+
+			if ( match[ 1 ].slice( 0, 3 ) === "nth" ) {
+
+				// nth-* requires argument
+				if ( !match[ 3 ] ) {
+					Sizzle.error( match[ 0 ] );
+				}
+
+				// numeric x and y parameters for Expr.filter.CHILD
+				// remember that false/true cast respectively to 0/1
+				match[ 4 ] = +( match[ 4 ] ?
+					match[ 5 ] + ( match[ 6 ] || 1 ) :
+					2 * ( match[ 3 ] === "even" || match[ 3 ] === "odd" ) );
+				match[ 5 ] = +( ( match[ 7 ] + match[ 8 ] ) || match[ 3 ] === "odd" );
+
+				// other types prohibit arguments
+			} else if ( match[ 3 ] ) {
+				Sizzle.error( match[ 0 ] );
+			}
+
+			return match;
+		},
+
+		"PSEUDO": function( match ) {
+			var excess,
+				unquoted = !match[ 6 ] && match[ 2 ];
+
+			if ( matchExpr[ "CHILD" ].test( match[ 0 ] ) ) {
+				return null;
+			}
+
+			// Accept quoted arguments as-is
+			if ( match[ 3 ] ) {
+				match[ 2 ] = match[ 4 ] || match[ 5 ] || "";
+
+			// Strip excess characters from unquoted arguments
+			} else if ( unquoted && rpseudo.test( unquoted ) &&
+
+				// Get excess from tokenize (recursively)
+				( excess = tokenize( unquoted, true ) ) &&
+
+				// advance to the next closing parenthesis
+				( excess = unquoted.indexOf( ")", unquoted.length - excess ) - unquoted.length ) ) {
+
+				// excess is a negative index
+				match[ 0 ] = match[ 0 ].slice( 0, excess );
+				match[ 2 ] = unquoted.slice( 0, excess );
+			}
+
+			// Return only captures needed by the pseudo filter method (type and argument)
+			return match.slice( 0, 3 );
+		}
+	},
+
+	filter: {
+
+		"TAG": function( nodeNameSelector ) {
+			var nodeName = nodeNameSelector.replace( runescape, funescape ).toLowerCase();
+			return nodeNameSelector === "*" ?
+				function() {
+					return true;
+				} :
+				function( elem ) {
+					return elem.nodeName && elem.nodeName.toLowerCase() === nodeName;
+				};
+		},
+
+		"CLASS": function( className ) {
+			var pattern = classCache[ className + " " ];
+
+			return pattern ||
+				( pattern = new RegExp( "(^|" + whitespace +
+					")" + className + "(" + whitespace + "|$)" ) ) && classCache(
+						className, function( elem ) {
+							return pattern.test(
+								typeof elem.className === "string" && elem.className ||
+								typeof elem.getAttribute !== "undefined" &&
+									elem.getAttribute( "class" ) ||
+								""
+							);
+				} );
+		},
+
+		"ATTR": function( name, operator, check ) {
+			return function( elem ) {
+				var result = Sizzle.attr( elem, name );
+
+				if ( result == null ) {
+					return operator === "!=";
+				}
+				if ( !operator ) {
+					return true;
+				}
+
+				result += "";
+
+				/* eslint-disable max-len */
+
+				return operator === "=" ? result === check :
+					operator === "!=" ? result !== check :
+					operator === "^=" ? check && result.indexOf( check ) === 0 :
+					operator === "*=" ? check && result.indexOf( check ) > -1 :
+					operator === "$=" ? check && result.slice( -check.length ) === check :
+					operator === "~=" ? ( " " + result.replace( rwhitespace, " " ) + " " ).indexOf( check ) > -1 :
+					operator === "|=" ? result === check || result.slice( 0, check.length + 1 ) === check + "-" :
+					false;
+				/* eslint-enable max-len */
+
+			};
+		},
+
+		"CHILD": function( type, what, _argument, first, last ) {
+			var simple = type.slice( 0, 3 ) !== "nth",
+				forward = type.slice( -4 ) !== "last",
+				ofType = what === "of-type";
+
+			return first === 1 && last === 0 ?
+
+				// Shortcut for :nth-*(n)
+				function( elem ) {
+					return !!elem.parentNode;
+				} :
+
+				function( elem, _context, xml ) {
+					var cache, uniqueCache, outerCache, node, nodeIndex, start,
+						dir = simple !== forward ? "nextSibling" : "previousSibling",
+						parent = elem.parentNode,
+						name = ofType && elem.nodeName.toLowerCase(),
+						useCache = !xml && !ofType,
+						diff = false;
+
+					if ( parent ) {
+
+						// :(first|last|only)-(child|of-type)
+						if ( simple ) {
+							while ( dir ) {
+								node = elem;
+								while ( ( node = node[ dir ] ) ) {
+									if ( ofType ?
+										node.nodeName.toLowerCase() === name :
+										node.nodeType === 1 ) {
+
+										return false;
+									}
+								}
+
+								// Reverse direction for :only-* (if we haven't yet done so)
+								start = dir = type === "only" && !start && "nextSibling";
+							}
+							return true;
+						}
+
+						start = [ forward ? parent.firstChild : parent.lastChild ];
+
+						// non-xml :nth-child(...) stores cache data on `parent`
+						if ( forward && useCache ) {
+
+							// Seek `elem` from a previously-cached index
+
+							// ...in a gzip-friendly way
+							node = parent;
+							outerCache = node[ expando ] || ( node[ expando ] = {} );
+
+							// Support: IE <9 only
+							// Defend against cloned attroperties (jQuery gh-1709)
+							uniqueCache = outerCache[ node.uniqueID ] ||
+								( outerCache[ node.uniqueID ] = {} );
+
+							cache = uniqueCache[ type ] || [];
+							nodeIndex = cache[ 0 ] === dirruns && cache[ 1 ];
+							diff = nodeIndex && cache[ 2 ];
+							node = nodeIndex && parent.childNodes[ nodeIndex ];
+
+							while ( ( node = ++nodeIndex && node && node[ dir ] ||
+
+								// Fallback to seeking `elem` from the start
+								( diff = nodeIndex = 0 ) || start.pop() ) ) {
+
+								// When found, cache indexes on `parent` and break
+								if ( node.nodeType === 1 && ++diff && node === elem ) {
+									uniqueCache[ type ] = [ dirruns, nodeIndex, diff ];
+									break;
+								}
+							}
+
+						} else {
+
+							// Use previously-cached element index if available
+							if ( useCache ) {
+
+								// ...in a gzip-friendly way
+								node = elem;
+								outerCache = node[ expando ] || ( node[ expando ] = {} );
+
+								// Support: IE <9 only
+								// Defend against cloned attroperties (jQuery gh-1709)
+								uniqueCache = outerCache[ node.uniqueID ] ||
+									( outerCache[ node.uniqueID ] = {} );
+
+								cache = uniqueCache[ type ] || [];
+								nodeIndex = cache[ 0 ] === dirruns && cache[ 1 ];
+								diff = nodeIndex;
+							}
+
+							// xml :nth-child(...)
+							// or :nth-last-child(...) or :nth(-last)?-of-type(...)
+							if ( diff === false ) {
+
+								// Use the same loop as above to seek `elem` from the start
+								while ( ( node = ++nodeIndex && node && node[ dir ] ||
+									( diff = nodeIndex = 0 ) || start.pop() ) ) {
+
+									if ( ( ofType ?
+										node.nodeName.toLowerCase() === name :
+										node.nodeType === 1 ) &&
+										++diff ) {
+
+										// Cache the index of each encountered element
+										if ( useCache ) {
+											outerCache = node[ expando ] ||
+												( node[ expando ] = {} );
+
+											// Support: IE <9 only
+											// Defend against cloned attroperties (jQuery gh-1709)
+											uniqueCache = outerCache[ node.uniqueID ] ||
+												( outerCache[ node.uniqueID ] = {} );
+
+											uniqueCache[ type ] = [ dirruns, diff ];
+										}
+
+										if ( node === elem ) {
+											break;
+										}
+									}
+								}
+							}
+						}
+
+						// Incorporate the offset, then check against cycle size
+						diff -= last;
+						return diff === first || ( diff % first === 0 && diff / first >= 0 );
+					}
+				};
+		},
+
+		"PSEUDO": function( pseudo, argument ) {
+
+			// pseudo-class names are case-insensitive
+			// http://www.w3.org/TR/selectors/#pseudo-classes
+			// Prioritize by case sensitivity in case custom pseudos are added with uppercase letters
+			// Remember that setFilters inherits from pseudos
+			var args,
+				fn = Expr.pseudos[ pseudo ] || Expr.setFilters[ pseudo.toLowerCase() ] ||
+					Sizzle.error( "unsupported pseudo: " + pseudo );
+
+			// The user may use createPseudo to indicate that
+			// arguments are needed to create the filter function
+			// just as Sizzle does
+			if ( fn[ expando ] ) {
+				return fn( argument );
+			}
+
+			// But maintain support for old signatures
+			if ( fn.length > 1 ) {
+				args = [ pseudo, pseudo, "", argument ];
+				return Expr.setFilters.hasOwnProperty( pseudo.toLowerCase() ) ?
+					markFunction( function( seed, matches ) {
+						var idx,
+							matched = fn( seed, argument ),
+							i = matched.length;
+						while ( i-- ) {
+							idx = indexOf( seed, matched[ i ] );
+							seed[ idx ] = !( matches[ idx ] = matched[ i ] );
+						}
+					} ) :
+					function( elem ) {
+						return fn( elem, 0, args );
+					};
+			}
+
+			return fn;
+		}
+	},
+
+	pseudos: {
+
+		// Potentially complex pseudos
+		"not": markFunction( function( selector ) {
+
+			// Trim the selector passed to compile
+			// to avoid treating leading and trailing
+			// spaces as combinators
+			var input = [],
+				results = [],
+				matcher = compile( selector.replace( rtrim, "$1" ) );
+
+			return matcher[ expando ] ?
+				markFunction( function( seed, matches, _context, xml ) {
+					var elem,
+						unmatched = matcher( seed, null, xml, [] ),
+						i = seed.length;
+
+					// Match elements unmatched by `matcher`
+					while ( i-- ) {
+						if ( ( elem = unmatched[ i ] ) ) {
+							seed[ i ] = !( matches[ i ] = elem );
+						}
+					}
+				} ) :
+				function( elem, _context, xml ) {
+					input[ 0 ] = elem;
+					matcher( input, null, xml, results );
+
+					// Don't keep the element (issue #299)
+					input[ 0 ] = null;
+					return !results.pop();
+				};
+		} ),
+
+		"has": markFunction( function( selector ) {
+			return function( elem ) {
+				return Sizzle( selector, elem ).length > 0;
+			};
+		} ),
+
+		"contains": markFunction( function( text ) {
+			text = text.replace( runescape, funescape );
+			return function( elem ) {
+				return ( elem.textContent || getText( elem ) ).indexOf( text ) > -1;
+			};
+		} ),
+
+		// "Whether an element is represented by a :lang() selector
+		// is based solely on the element's language value
+		// being equal to the identifier C,
+		// or beginning with the identifier C immediately followed by "-".
+		// The matching of C against the element's language value is performed case-insensitively.
+		// The identifier C does not have to be a valid language name."
+		// http://www.w3.org/TR/selectors/#lang-pseudo
+		"lang": markFunction( function( lang ) {
+
+			// lang value must be a valid identifier
+			if ( !ridentifier.test( lang || "" ) ) {
+				Sizzle.error( "unsupported lang: " + lang );
+			}
+			lang = lang.replace( runescape, funescape ).toLowerCase();
+			return function( elem ) {
+				var elemLang;
+				do {
+					if ( ( elemLang = documentIsHTML ?
+						elem.lang :
+						elem.getAttribute( "xml:lang" ) || elem.getAttribute( "lang" ) ) ) {
+
+						elemLang = elemLang.toLowerCase();
+						return elemLang === lang || elemLang.indexOf( lang + "-" ) === 0;
+					}
+				} while ( ( elem = elem.parentNode ) && elem.nodeType === 1 );
+				return false;
+			};
+		} ),
+
+		// Miscellaneous
+		"target": function( elem ) {
+			var hash = window.location && window.location.hash;
+			return hash && hash.slice( 1 ) === elem.id;
+		},
+
+		"root": function( elem ) {
+			return elem === docElem;
+		},
+
+		"focus": function( elem ) {
+			return elem === document.activeElement &&
+				( !document.hasFocus || document.hasFocus() ) &&
+				!!( elem.type || elem.href || ~elem.tabIndex );
+		},
+
+		// Boolean properties
+		"enabled": createDisabledPseudo( false ),
+		"disabled": createDisabledPseudo( true ),
+
+		"checked": function( elem ) {
+
+			// In CSS3, :checked should return both checked and selected elements
+			// http://www.w3.org/TR/2011/REC-css3-selectors-20110929/#checked
+			var nodeName = elem.nodeName.toLowerCase();
+			return ( nodeName === "input" && !!elem.checked ) ||
+				( nodeName === "option" && !!elem.selected );
+		},
+
+		"selected": function( elem ) {
+
+			// Accessing this property makes selected-by-default
+			// options in Safari work properly
+			if ( elem.parentNode ) {
+				// eslint-disable-next-line no-unused-expressions
+				elem.parentNode.selectedIndex;
+			}
+
+			return elem.selected === true;
+		},
+
+		// Contents
+		"empty": function( elem ) {
+
+			// http://www.w3.org/TR/selectors/#empty-pseudo
+			// :empty is negated by element (1) or content nodes (text: 3; cdata: 4; entity ref: 5),
+			//   but not by others (comment: 8; processing instruction: 7; etc.)
+			// nodeType < 6 works because attributes (2) do not appear as children
+			for ( elem = elem.firstChild; elem; elem = elem.nextSibling ) {
+				if ( elem.nodeType < 6 ) {
+					return false;
+				}
+			}
+			return true;
+		},
+
+		"parent": function( elem ) {
+			return !Expr.pseudos[ "empty" ]( elem );
+		},
+
+		// Element/input types
+		"header": function( elem ) {
+			return rheader.test( elem.nodeName );
+		},
+
+		"input": function( elem ) {
+			return rinputs.test( elem.nodeName );
+		},
+
+		"button": function( elem ) {
+			var name = elem.nodeName.toLowerCase();
+			return name === "input" && elem.type === "button" || name === "button";
+		},
+
+		"text": function( elem ) {
+			var attr;
+			return elem.nodeName.toLowerCase() === "input" &&
+				elem.type === "text" &&
+
+				// Support: IE<8
+				// New HTML5 attribute values (e.g., "search") appear with elem.type === "text"
+				( ( attr = elem.getAttribute( "type" ) ) == null ||
+					attr.toLowerCase() === "text" );
+		},
+
+		// Position-in-collection
+		"first": createPositionalPseudo( function() {
+			return [ 0 ];
+		} ),
+
+		"last": createPositionalPseudo( function( _matchIndexes, length ) {
+			return [ length - 1 ];
+		} ),
+
+		"eq": createPositionalPseudo( function( _matchIndexes, length, argument ) {
+			return [ argument < 0 ? argument + length : argument ];
+		} ),
+
+		"even": createPositionalPseudo( function( matchIndexes, length ) {
+			var i = 0;
+			for ( ; i < length; i += 2 ) {
+				matchIndexes.push( i );
+			}
+			return matchIndexes;
+		} ),
+
+		"odd": createPositionalPseudo( function( matchIndexes, length ) {
+			var i = 1;
+			for ( ; i < length; i += 2 ) {
+				matchIndexes.push( i );
+			}
+			return matchIndexes;
+		} ),
+
+		"lt": createPositionalPseudo( function( matchIndexes, length, argument ) {
+			var i = argument < 0 ?
+				argument + length :
+				argument > length ?
+					length :
+					argument;
+			for ( ; --i >= 0; ) {
+				matchIndexes.push( i );
+			}
+			return matchIndexes;
+		} ),
+
+		"gt": createPositionalPseudo( function( matchIndexes, length, argument ) {
+			var i = argument < 0 ? argument + length : argument;
+			for ( ; ++i < length; ) {
+				matchIndexes.push( i );
+			}
+			return matchIndexes;
+		} )
+	}
+};
+
+Expr.pseudos[ "nth" ] = Expr.pseudos[ "eq" ];
+
+// Add button/input type pseudos
+for ( i in { radio: true, checkbox: true, file: true, password: true, image: true } ) {
+	Expr.pseudos[ i ] = createInputPseudo( i );
+}
+for ( i in { submit: true, reset: true } ) {
+	Expr.pseudos[ i ] = createButtonPseudo( i );
+}
+
+// Easy API for creating new setFilters
+function setFilters() {}
+setFilters.prototype = Expr.filters = Expr.pseudos;
+Expr.setFilters = new setFilters();
+
+tokenize = Sizzle.tokenize = function( selector, parseOnly ) {
+	var matched, match, tokens, type,
+		soFar, groups, preFilters,
+		cached = tokenCache[ selector + " " ];
+
+	if ( cached ) {
+		return parseOnly ? 0 : cached.slice( 0 );
+	}
+
+	soFar = selector;
+	groups = [];
+	preFilters = Expr.preFilter;
+
+	while ( soFar ) {
+
+		// Comma and first run
+		if ( !matched || ( match = rcomma.exec( soFar ) ) ) {
+			if ( match ) {
+
+				// Don't consume trailing commas as valid
+				soFar = soFar.slice( match[ 0 ].length ) || soFar;
+			}
+			groups.push( ( tokens = [] ) );
+		}
+
+		matched = false;
+
+		// Combinators
+		if ( ( match = rcombinators.exec( soFar ) ) ) {
+			matched = match.shift();
+			tokens.push( {
+				value: matched,
+
+				// Cast descendant combinators to space
+				type: match[ 0 ].replace( rtrim, " " )
+			} );
+			soFar = soFar.slice( matched.length );
+		}
+
+		// Filters
+		for ( type in Expr.filter ) {
+			if ( ( match = matchExpr[ type ].exec( soFar ) ) && ( !preFilters[ type ] ||
+				( match = preFilters[ type ]( match ) ) ) ) {
+				matched = match.shift();
+				tokens.push( {
+					value: matched,
+					type: type,
+					matches: match
+				} );
+				soFar = soFar.slice( matched.length );
+			}
+		}
+
+		if ( !matched ) {
+			break;
+		}
+	}
+
+	// Return the length of the invalid excess
+	// if we're just parsing
+	// Otherwise, throw an error or return tokens
+	return parseOnly ?
+		soFar.length :
+		soFar ?
+			Sizzle.error( selector ) :
+
+			// Cache the tokens
+			tokenCache( selector, groups ).slice( 0 );
+};
+
+function toSelector( tokens ) {
+	var i = 0,
+		len = tokens.length,
+		selector = "";
+	for ( ; i < len; i++ ) {
+		selector += tokens[ i ].value;
+	}
+	return selector;
+}
+
+function addCombinator( matcher, combinator, base ) {
+	var dir = combinator.dir,
+		skip = combinator.next,
+		key = skip || dir,
+		checkNonElements = base && key === "parentNode",
+		doneName = done++;
+
+	return combinator.first ?
+
+		// Check against closest ancestor/preceding element
+		function( elem, context, xml ) {
+			while ( ( elem = elem[ dir ] ) ) {
+				if ( elem.nodeType === 1 || checkNonElements ) {
+					return matcher( elem, context, xml );
+				}
+			}
+			return false;
+		} :
+
+		// Check against all ancestor/preceding elements
+		function( elem, context, xml ) {
+			var oldCache, uniqueCache, outerCache,
+				newCache = [ dirruns, doneName ];
+
+			// We can't set arbitrary data on XML nodes, so they don't benefit from combinator caching
+			if ( xml ) {
+				while ( ( elem = elem[ dir ] ) ) {
+					if ( elem.nodeType === 1 || checkNonElements ) {
+						if ( matcher( elem, context, xml ) ) {
+							return true;
+						}
+					}
+				}
+			} else {
+				while ( ( elem = elem[ dir ] ) ) {
+					if ( elem.nodeType === 1 || checkNonElements ) {
+						outerCache = elem[ expando ] || ( elem[ expando ] = {} );
+
+						// Support: IE <9 only
+						// Defend against cloned attroperties (jQuery gh-1709)
+						uniqueCache = outerCache[ elem.uniqueID ] ||
+							( outerCache[ elem.uniqueID ] = {} );
+
+						if ( skip && skip === elem.nodeName.toLowerCase() ) {
+							elem = elem[ dir ] || elem;
+						} else if ( ( oldCache = uniqueCache[ key ] ) &&
+							oldCache[ 0 ] === dirruns && oldCache[ 1 ] === doneName ) {
+
+							// Assign to newCache so results back-propagate to previous elements
+							return ( newCache[ 2 ] = oldCache[ 2 ] );
+						} else {
+
+							// Reuse newcache so results back-propagate to previous elements
+							uniqueCache[ key ] = newCache;
+
+							// A match means we're done; a fail means we have to keep checking
+							if ( ( newCache[ 2 ] = matcher( elem, context, xml ) ) ) {
+								return true;
+							}
+						}
+					}
+				}
+			}
+			return false;
+		};
+}
+
+function elementMatcher( matchers ) {
+	return matchers.length > 1 ?
+		function( elem, context, xml ) {
+			var i = matchers.length;
+			while ( i-- ) {
+				if ( !matchers[ i ]( elem, context, xml ) ) {
+					return false;
+				}
+			}
+			return true;
+		} :
+		matchers[ 0 ];
+}
+
+function multipleContexts( selector, contexts, results ) {
+	var i = 0,
+		len = contexts.length;
+	for ( ; i < len; i++ ) {
+		Sizzle( selector, contexts[ i ], results );
+	}
+	return results;
+}
+
+function condense( unmatched, map, filter, context, xml ) {
+	var elem,
+		newUnmatched = [],
+		i = 0,
+		len = unmatched.length,
+		mapped = map != null;
+
+	for ( ; i < len; i++ ) {
+		if ( ( elem = unmatched[ i ] ) ) {
+			if ( !filter || filter( elem, context, xml ) ) {
+				newUnmatched.push( elem );
+				if ( mapped ) {
+					map.push( i );
+				}
+			}
+		}
+	}
+
+	return newUnmatched;
+}
+
+function setMatcher( preFilter, selector, matcher, postFilter, postFinder, postSelector ) {
+	if ( postFilter && !postFilter[ expando ] ) {
+		postFilter = setMatcher( postFilter );
+	}
+	if ( postFinder && !postFinder[ expando ] ) {
+		postFinder = setMatcher( postFinder, postSelector );
+	}
+	return markFunction( function( seed, results, context, xml ) {
+		var temp, i, elem,
+			preMap = [],
+			postMap = [],
+			preexisting = results.length,
+
+			// Get initial elements from seed or context
+			elems = seed || multipleContexts(
+				selector || "*",
+				context.nodeType ? [ context ] : context,
+				[]
+			),
+
+			// Prefilter to get matcher input, preserving a map for seed-results synchronization
+			matcherIn = preFilter && ( seed || !selector ) ?
+				condense( elems, preMap, preFilter, context, xml ) :
+				elems,
+
+			matcherOut = matcher ?
+
+				// If we have a postFinder, or filtered seed, or non-seed postFilter or preexisting results,
+				postFinder || ( seed ? preFilter : preexisting || postFilter ) ?
+
+					// ...intermediate processing is necessary
+					[] :
+
+					// ...otherwise use results directly
+					results :
+				matcherIn;
+
+		// Find primary matches
+		if ( matcher ) {
+			matcher( matcherIn, matcherOut, context, xml );
+		}
+
+		// Apply postFilter
+		if ( postFilter ) {
+			temp = condense( matcherOut, postMap );
+			postFilter( temp, [], context, xml );
+
+			// Un-match failing elements by moving them back to matcherIn
+			i = temp.length;
+			while ( i-- ) {
+				if ( ( elem = temp[ i ] ) ) {
+					matcherOut[ postMap[ i ] ] = !( matcherIn[ postMap[ i ] ] = elem );
+				}
+			}
+		}
+
+		if ( seed ) {
+			if ( postFinder || preFilter ) {
+				if ( postFinder ) {
+
+					// Get the final matcherOut by condensing this intermediate into postFinder contexts
+					temp = [];
+					i = matcherOut.length;
+					while ( i-- ) {
+						if ( ( elem = matcherOut[ i ] ) ) {
+
+							// Restore matcherIn since elem is not yet a final match
+							temp.push( ( matcherIn[ i ] = elem ) );
+						}
+					}
+					postFinder( null, ( matcherOut = [] ), temp, xml );
+				}
+
+				// Move matched elements from seed to results to keep them synchronized
+				i = matcherOut.length;
+				while ( i-- ) {
+					if ( ( elem = matcherOut[ i ] ) &&
+						( temp = postFinder ? indexOf( seed, elem ) : preMap[ i ] ) > -1 ) {
+
+						seed[ temp ] = !( results[ temp ] = elem );
+					}
+				}
+			}
+
+		// Add elements to results, through postFinder if defined
+		} else {
+			matcherOut = condense(
+				matcherOut === results ?
+					matcherOut.splice( preexisting, matcherOut.length ) :
+					matcherOut
+			);
+			if ( postFinder ) {
+				postFinder( null, results, matcherOut, xml );
+			} else {
+				push.apply( results, matcherOut );
+			}
+		}
+	} );
+}
+
+function matcherFromTokens( tokens ) {
+	var checkContext, matcher, j,
+		len = tokens.length,
+		leadingRelative = Expr.relative[ tokens[ 0 ].type ],
+		implicitRelative = leadingRelative || Expr.relative[ " " ],
+		i = leadingRelative ? 1 : 0,
+
+		// The foundational matcher ensures that elements are reachable from top-level context(s)
+		matchContext = addCombinator( function( elem ) {
+			return elem === checkContext;
+		}, implicitRelative, true ),
+		matchAnyContext = addCombinator( function( elem ) {
+			return indexOf( checkContext, elem ) > -1;
+		}, implicitRelative, true ),
+		matchers = [ function( elem, context, xml ) {
+			var ret = ( !leadingRelative && ( xml || context !== outermostContext ) ) || (
+				( checkContext = context ).nodeType ?
+					matchContext( elem, context, xml ) :
+					matchAnyContext( elem, context, xml ) );
+
+			// Avoid hanging onto element (issue #299)
+			checkContext = null;
+			return ret;
+		} ];
+
+	for ( ; i < len; i++ ) {
+		if ( ( matcher = Expr.relative[ tokens[ i ].type ] ) ) {
+			matchers = [ addCombinator( elementMatcher( matchers ), matcher ) ];
+		} else {
+			matcher = Expr.filter[ tokens[ i ].type ].apply( null, tokens[ i ].matches );
+
+			// Return special upon seeing a positional matcher
+			if ( matcher[ expando ] ) {
+
+				// Find the next relative operator (if any) for proper handling
+				j = ++i;
+				for ( ; j < len; j++ ) {
+					if ( Expr.relative[ tokens[ j ].type ] ) {
+						break;
+					}
+				}
+				return setMatcher(
+					i > 1 && elementMatcher( matchers ),
+					i > 1 && toSelector(
+
+					// If the preceding token was a descendant combinator, insert an implicit any-element `*`
+					tokens
+						.slice( 0, i - 1 )
+						.concat( { value: tokens[ i - 2 ].type === " " ? "*" : "" } )
+					).replace( rtrim, "$1" ),
+					matcher,
+					i < j && matcherFromTokens( tokens.slice( i, j ) ),
+					j < len && matcherFromTokens( ( tokens = tokens.slice( j ) ) ),
+					j < len && toSelector( tokens )
+				);
+			}
+			matchers.push( matcher );
+		}
+	}
+
+	return elementMatcher( matchers );
+}
+
+function matcherFromGroupMatchers( elementMatchers, setMatchers ) {
+	var bySet = setMatchers.length > 0,
+		byElement = elementMatchers.length > 0,
+		superMatcher = function( seed, context, xml, results, outermost ) {
+			var elem, j, matcher,
+				matchedCount = 0,
+				i = "0",
+				unmatched = seed && [],
+				setMatched = [],
+				contextBackup = outermostContext,
+
+				// We must always have either seed elements or outermost context
+				elems = seed || byElement && Expr.find[ "TAG" ]( "*", outermost ),
+
+				// Use integer dirruns iff this is the outermost matcher
+				dirrunsUnique = ( dirruns += contextBackup == null ? 1 : Math.random() || 0.1 ),
+				len = elems.length;
+
+			if ( outermost ) {
+
+				// Support: IE 11+, Edge 17 - 18+
+				// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+				// two documents; shallow comparisons work.
+				// eslint-disable-next-line eqeqeq
+				outermostContext = context == document || context || outermost;
+			}
+
+			// Add elements passing elementMatchers directly to results
+			// Support: IE<9, Safari
+			// Tolerate NodeList properties (IE: "length"; Safari: <number>) matching elements by id
+			for ( ; i !== len && ( elem = elems[ i ] ) != null; i++ ) {
+				if ( byElement && elem ) {
+					j = 0;
+
+					// Support: IE 11+, Edge 17 - 18+
+					// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+					// two documents; shallow comparisons work.
+					// eslint-disable-next-line eqeqeq
+					if ( !context && elem.ownerDocument != document ) {
+						setDocument( elem );
+						xml = !documentIsHTML;
+					}
+					while ( ( matcher = elementMatchers[ j++ ] ) ) {
+						if ( matcher( elem, context || document, xml ) ) {
+							results.push( elem );
+							break;
+						}
+					}
+					if ( outermost ) {
+						dirruns = dirrunsUnique;
+					}
+				}
+
+				// Track unmatched elements for set filters
+				if ( bySet ) {
+
+					// They will have gone through all possible matchers
+					if ( ( elem = !matcher && elem ) ) {
+						matchedCount--;
+					}
+
+					// Lengthen the array for every element, matched or not
+					if ( seed ) {
+						unmatched.push( elem );
+					}
+				}
+			}
+
+			// `i` is now the count of elements visited above, and adding it to `matchedCount`
+			// makes the latter nonnegative.
+			matchedCount += i;
+
+			// Apply set filters to unmatched elements
+			// NOTE: This can be skipped if there are no unmatched elements (i.e., `matchedCount`
+			// equals `i`), unless we didn't visit _any_ elements in the above loop because we have
+			// no element matchers and no seed.
+			// Incrementing an initially-string "0" `i` allows `i` to remain a string only in that
+			// case, which will result in a "00" `matchedCount` that differs from `i` but is also
+			// numerically zero.
+			if ( bySet && i !== matchedCount ) {
+				j = 0;
+				while ( ( matcher = setMatchers[ j++ ] ) ) {
+					matcher( unmatched, setMatched, context, xml );
+				}
+
+				if ( seed ) {
+
+					// Reintegrate element matches to eliminate the need for sorting
+					if ( matchedCount > 0 ) {
+						while ( i-- ) {
+							if ( !( unmatched[ i ] || setMatched[ i ] ) ) {
+								setMatched[ i ] = pop.call( results );
+							}
+						}
+					}
+
+					// Discard index placeholder values to get only actual matches
+					setMatched = condense( setMatched );
+				}
+
+				// Add matches to results
+				push.apply( results, setMatched );
+
+				// Seedless set matches succeeding multiple successful matchers stipulate sorting
+				if ( outermost && !seed && setMatched.length > 0 &&
+					( matchedCount + setMatchers.length ) > 1 ) {
+
+					Sizzle.uniqueSort( results );
+				}
+			}
+
+			// Override manipulation of globals by nested matchers
+			if ( outermost ) {
+				dirruns = dirrunsUnique;
+				outermostContext = contextBackup;
+			}
+
+			return unmatched;
+		};
+
+	return bySet ?
+		markFunction( superMatcher ) :
+		superMatcher;
+}
+
+compile = Sizzle.compile = function( selector, match /* Internal Use Only */ ) {
+	var i,
+		setMatchers = [],
+		elementMatchers = [],
+		cached = compilerCache[ selector + " " ];
+
+	if ( !cached ) {
+
+		// Generate a function of recursive functions that can be used to check each element
+		if ( !match ) {
+			match = tokenize( selector );
+		}
+		i = match.length;
+		while ( i-- ) {
+			cached = matcherFromTokens( match[ i ] );
+			if ( cached[ expando ] ) {
+				setMatchers.push( cached );
+			} else {
+				elementMatchers.push( cached );
+			}
+		}
+
+		// Cache the compiled function
+		cached = compilerCache(
+			selector,
+			matcherFromGroupMatchers( elementMatchers, setMatchers )
+		);
+
+		// Save selector and tokenization
+		cached.selector = selector;
+	}
+	return cached;
+};
+
+/**
+ * A low-level selection function that works with Sizzle's compiled
+ *  selector functions
+ * @param {String|Function} selector A selector or a pre-compiled
+ *  selector function built with Sizzle.compile
+ * @param {Element} context
+ * @param {Array} [results]
+ * @param {Array} [seed] A set of elements to match against
+ */
+select = Sizzle.select = function( selector, context, results, seed ) {
+	var i, tokens, token, type, find,
+		compiled = typeof selector === "function" && selector,
+		match = !seed && tokenize( ( selector = compiled.selector || selector ) );
+
+	results = results || [];
+
+	// Try to minimize operations if there is only one selector in the list and no seed
+	// (the latter of which guarantees us context)
+	if ( match.length === 1 ) {
+
+		// Reduce context if the leading compound selector is an ID
+		tokens = match[ 0 ] = match[ 0 ].slice( 0 );
+		if ( tokens.length > 2 && ( token = tokens[ 0 ] ).type === "ID" &&
+			context.nodeType === 9 && documentIsHTML && Expr.relative[ tokens[ 1 ].type ] ) {
+
+			context = ( Expr.find[ "ID" ]( token.matches[ 0 ]
+				.replace( runescape, funescape ), context ) || [] )[ 0 ];
+			if ( !context ) {
+				return results;
+
+			// Precompiled matchers will still verify ancestry, so step up a level
+			} else if ( compiled ) {
+				context = context.parentNode;
+			}
+
+			selector = selector.slice( tokens.shift().value.length );
+		}
+
+		// Fetch a seed set for right-to-left matching
+		i = matchExpr[ "needsContext" ].test( selector ) ? 0 : tokens.length;
+		while ( i-- ) {
+			token = tokens[ i ];
+
+			// Abort if we hit a combinator
+			if ( Expr.relative[ ( type = token.type ) ] ) {
+				break;
+			}
+			if ( ( find = Expr.find[ type ] ) ) {
+
+				// Search, expanding context for leading sibling combinators
+				if ( ( seed = find(
+					token.matches[ 0 ].replace( runescape, funescape ),
+					rsibling.test( tokens[ 0 ].type ) && testContext( context.parentNode ) ||
+						context
+				) ) ) {
+
+					// If seed is empty or no tokens remain, we can return early
+					tokens.splice( i, 1 );
+					selector = seed.length && toSelector( tokens );
+					if ( !selector ) {
+						push.apply( results, seed );
+						return results;
+					}
+
+					break;
+				}
+			}
+		}
+	}
+
+	// Compile and execute a filtering function if one is not provided
+	// Provide `match` to avoid retokenization if we modified the selector above
+	( compiled || compile( selector, match ) )(
+		seed,
+		context,
+		!documentIsHTML,
+		results,
+		!context || rsibling.test( selector ) && testContext( context.parentNode ) || context
+	);
+	return results;
+};
+
+// One-time assignments
+
+// Sort stability
+support.sortStable = expando.split( "" ).sort( sortOrder ).join( "" ) === expando;
+
+// Support: Chrome 14-35+
+// Always assume duplicates if they aren't passed to the comparison function
+support.detectDuplicates = !!hasDuplicate;
+
+// Initialize against the default document
+setDocument();
+
+// Support: Webkit<537.32 - Safari 6.0.3/Chrome 25 (fixed in Chrome 27)
+// Detached nodes confoundingly follow *each other*
+support.sortDetached = assert( function( el ) {
+
+	// Should return 1, but returns 4 (following)
+	return el.compareDocumentPosition( document.createElement( "fieldset" ) ) & 1;
+} );
+
+// Support: IE<8
+// Prevent attribute/property "interpolation"
+// https://msdn.microsoft.com/en-us/library/ms536429%28VS.85%29.aspx
+if ( !assert( function( el ) {
+	el.innerHTML = "<a href='#'></a>";
+	return el.firstChild.getAttribute( "href" ) === "#";
+} ) ) {
+	addHandle( "type|href|height|width", function( elem, name, isXML ) {
+		if ( !isXML ) {
+			return elem.getAttribute( name, name.toLowerCase() === "type" ? 1 : 2 );
+		}
+	} );
+}
+
+// Support: IE<9
+// Use defaultValue in place of getAttribute("value")
+if ( !support.attributes || !assert( function( el ) {
+	el.innerHTML = "<input/>";
+	el.firstChild.setAttribute( "value", "" );
+	return el.firstChild.getAttribute( "value" ) === "";
+} ) ) {
+	addHandle( "value", function( elem, _name, isXML ) {
+		if ( !isXML && elem.nodeName.toLowerCase() === "input" ) {
+			return elem.defaultValue;
+		}
+	} );
+}
+
+// Support: IE<9
+// Use getAttributeNode to fetch booleans when getAttribute lies
+if ( !assert( function( el ) {
+	return el.getAttribute( "disabled" ) == null;
+} ) ) {
+	addHandle( booleans, function( elem, name, isXML ) {
+		var val;
+		if ( !isXML ) {
+			return elem[ name ] === true ? name.toLowerCase() :
+				( val = elem.getAttributeNode( name ) ) && val.specified ?
+					val.value :
+					null;
+		}
+	} );
+}
+
+return Sizzle;
+
+} )( window );
+
+
+
+jQuery.find = Sizzle;
+jQuery.expr = Sizzle.selectors;
+
+// Deprecated
+jQuery.expr[ ":" ] = jQuery.expr.pseudos;
+jQuery.uniqueSort = jQuery.unique = Sizzle.uniqueSort;
+jQuery.text = Sizzle.getText;
+jQuery.isXMLDoc = Sizzle.isXML;
+jQuery.contains = Sizzle.contains;
+jQuery.escapeSelector = Sizzle.escape;
+
+
+
+
+var dir = function( elem, dir, until ) {
+	var matched = [],
+		truncate = until !== undefined;
+
+	while ( ( elem = elem[ dir ] ) && elem.nodeType !== 9 ) {
+		if ( elem.nodeType === 1 ) {
+			if ( truncate && jQuery( elem ).is( until ) ) {
+				break;
+			}
+			matched.push( elem );
+		}
+	}
+	return matched;
+};
+
+
+var siblings = function( n, elem ) {
+	var matched = [];
+
+	for ( ; n; n = n.nextSibling ) {
+		if ( n.nodeType === 1 && n !== elem ) {
+			matched.push( n );
+		}
+	}
+
+	return matched;
+};
+
+
+var rneedsContext = jQuery.expr.match.needsContext;
+
+
+
+function nodeName( elem, name ) {
+
+	return elem.nodeName && elem.nodeName.toLowerCase() === name.toLowerCase();
+
+}
+var rsingleTag = ( /^<([a-z][^\/\0>:\x20\t\r\n\f]*)[\x20\t\r\n\f]*\/?>(?:<\/\1>|)$/i );
+
+
+
+// Implement the identical functionality for filter and not
+function winnow( elements, qualifier, not ) {
+	if ( isFunction( qualifier ) ) {
+		return jQuery.grep( elements, function( elem, i ) {
+			return !!qualifier.call( elem, i, elem ) !== not;
+		} );
+	}
+
+	// Single element
+	if ( qualifier.nodeType ) {
+		return jQuery.grep( elements, function( elem ) {
+			return ( elem === qualifier ) !== not;
+		} );
+	}
+
+	// Arraylike of elements (jQuery, arguments, Array)
+	if ( typeof qualifier !== "string" ) {
+		return jQuery.grep( elements, function( elem ) {
+			return ( indexOf.call( qualifier, elem ) > -1 ) !== not;
+		} );
+	}
+
+	// Filtered directly for both simple and complex selectors
+	return jQuery.filter( qualifier, elements, not );
+}
+
+jQuery.filter = function( expr, elems, not ) {
+	var elem = elems[ 0 ];
+
+	if ( not ) {
+		expr = ":not(" + expr + ")";
+	}
+
+	if ( elems.length === 1 && elem.nodeType === 1 ) {
+		return jQuery.find.matchesSelector( elem, expr ) ? [ elem ] : [];
+	}
+
+	return jQuery.find.matches( expr, jQuery.grep( elems, function( elem ) {
+		return elem.nodeType === 1;
+	} ) );
+};
+
+jQuery.fn.extend( {
+	find: function( selector ) {
+		var i, ret,
+			len = this.length,
+			self = this;
+
+		if ( typeof selector !== "string" ) {
+			return this.pushStack( jQuery( selector ).filter( function() {
+				for ( i = 0; i < len; i++ ) {
+					if ( jQuery.contains( self[ i ], this ) ) {
+						return true;
+					}
+				}
+			} ) );
+		}
+
+		ret = this.pushStack( [] );
+
+		for ( i = 0; i < len; i++ ) {
+			jQuery.find( selector, self[ i ], ret );
+		}
+
+		return len > 1 ? jQuery.uniqueSort( ret ) : ret;
+	},
+	filter: function( selector ) {
+		return this.pushStack( winnow( this, selector || [], false ) );
+	},
+	not: function( selector ) {
+		return this.pushStack( winnow( this, selector || [], true ) );
+	},
+	is: function( selector ) {
+		return !!winnow(
+			this,
+
+			// If this is a positional/relative selector, check membership in the returned set
+			// so $("p:first").is("p:last") won't return true for a doc with two "p".
+			typeof selector === "string" && rneedsContext.test( selector ) ?
+				jQuery( selector ) :
+				selector || [],
+			false
+		).length;
+	}
+} );
+
+
+// Initialize a jQuery object
+
+
+// A central reference to the root jQuery(document)
+var rootjQuery,
+
+	// A simple way to check for HTML strings
+	// Prioritize #id over <tag> to avoid XSS via location.hash (#9521)
+	// Strict HTML recognition (#11290: must start with <)
+	// Shortcut simple #id case for speed
+	rquickExpr = /^(?:\s*(<[\w\W]+>)[^>]*|#([\w-]+))$/,
+
+	init = jQuery.fn.init = function( selector, context, root ) {
+		var match, elem;
+
+		// HANDLE: $(""), $(null), $(undefined), $(false)
+		if ( !selector ) {
+			return this;
+		}
+
+		// Method init() accepts an alternate rootjQuery
+		// so migrate can support jQuery.sub (gh-2101)
+		root = root || rootjQuery;
+
+		// Handle HTML strings
+		if ( typeof selector === "string" ) {
+			if ( selector[ 0 ] === "<" &&
+				selector[ selector.length - 1 ] === ">" &&
+				selector.length >= 3 ) {
+
+				// Assume that strings that start and end with <> are HTML and skip the regex check
+				match = [ null, selector, null ];
+
+			} else {
+				match = rquickExpr.exec( selector );
+			}
+
+			// Match html or make sure no context is specified for #id
+			if ( match && ( match[ 1 ] || !context ) ) {
+
+				// HANDLE: $(html) -> $(array)
+				if ( match[ 1 ] ) {
+					context = context instanceof jQuery ? context[ 0 ] : context;
+
+					// Option to run scripts is true for back-compat
+					// Intentionally let the error be thrown if parseHTML is not present
+					jQuery.merge( this, jQuery.parseHTML(
+						match[ 1 ],
+						context && context.nodeType ? context.ownerDocument || context : document,
+						true
+					) );
+
+					// HANDLE: $(html, props)
+					if ( rsingleTag.test( match[ 1 ] ) && jQuery.isPlainObject( context ) ) {
+						for ( match in context ) {
+
+							// Properties of context are called as methods if possible
+							if ( isFunction( this[ match ] ) ) {
+								this[ match ]( context[ match ] );
+
+							// ...and otherwise set as attributes
+							} else {
+								this.attr( match, context[ match ] );
+							}
+						}
+					}
+
+					return this;
+
+				// HANDLE: $(#id)
+				} else {
+					elem = document.getElementById( match[ 2 ] );
+
+					if ( elem ) {
+
+						// Inject the element directly into the jQuery object
+						this[ 0 ] = elem;
+						this.length = 1;
+					}
+					return this;
+				}
+
+			// HANDLE: $(expr, $(...))
+			} else if ( !context || context.jquery ) {
+				return ( context || root ).find( selector );
+
+			// HANDLE: $(expr, context)
+			// (which is just equivalent to: $(context).find(expr)
+			} else {
+				return this.constructor( context ).find( selector );
+			}
+
+		// HANDLE: $(DOMElement)
+		} else if ( selector.nodeType ) {
+			this[ 0 ] = selector;
+			this.length = 1;
+			return this;
+
+		// HANDLE: $(function)
+		// Shortcut for document ready
+		} else if ( isFunction( selector ) ) {
+			return root.ready !== undefined ?
+				root.ready( selector ) :
+
+				// Execute immediately if ready is not present
+				selector( jQuery );
+		}
+
+		return jQuery.makeArray( selector, this );
+	};
+
+// Give the init function the jQuery prototype for later instantiation
+init.prototype = jQuery.fn;
+
+// Initialize central reference
+rootjQuery = jQuery( document );
+
+
+var rparentsprev = /^(?:parents|prev(?:Until|All))/,
+
+	// Methods guaranteed to produce a unique set when starting from a unique set
+	guaranteedUnique = {
+		children: true,
+		contents: true,
+		next: true,
+		prev: true
+	};
+
+jQuery.fn.extend( {
+	has: function( target ) {
+		var targets = jQuery( target, this ),
+			l = targets.length;
+
+		return this.filter( function() {
+			var i = 0;
+			for ( ; i < l; i++ ) {
+				if ( jQuery.contains( this, targets[ i ] ) ) {
+					return true;
+				}
+			}
+		} );
+	},
+
+	closest: function( selectors, context ) {
+		var cur,
+			i = 0,
+			l = this.length,
+			matched = [],
+			targets = typeof selectors !== "string" && jQuery( selectors );
+
+		// Positional selectors never match, since there's no _selection_ context
+		if ( !rneedsContext.test( selectors ) ) {
+			for ( ; i < l; i++ ) {
+				for ( cur = this[ i ]; cur && cur !== context; cur = cur.parentNode ) {
+
+					// Always skip document fragments
+					if ( cur.nodeType < 11 && ( targets ?
+						targets.index( cur ) > -1 :
+
+						// Don't pass non-elements to Sizzle
+						cur.nodeType === 1 &&
+							jQuery.find.matchesSelector( cur, selectors ) ) ) {
+
+						matched.push( cur );
+						break;
+					}
+				}
+			}
+		}
+
+		return this.pushStack( matched.length > 1 ? jQuery.uniqueSort( matched ) : matched );
+	},
+
+	// Determine the position of an element within the set
+	index: function( elem ) {
+
+		// No argument, return index in parent
+		if ( !elem ) {
+			return ( this[ 0 ] && this[ 0 ].parentNode ) ? this.first().prevAll().length : -1;
+		}
+
+		// Index in selector
+		if ( typeof elem === "string" ) {
+			return indexOf.call( jQuery( elem ), this[ 0 ] );
+		}
+
+		// Locate the position of the desired element
+		return indexOf.call( this,
+
+			// If it receives a jQuery object, the first element is used
+			elem.jquery ? elem[ 0 ] : elem
+		);
+	},
+
+	add: function( selector, context ) {
+		return this.pushStack(
+			jQuery.uniqueSort(
+				jQuery.merge( this.get(), jQuery( selector, context ) )
+			)
+		);
+	},
+
+	addBack: function( selector ) {
+		return this.add( selector == null ?
+			this.prevObject : this.prevObject.filter( selector )
+		);
+	}
+} );
+
+function sibling( cur, dir ) {
+	while ( ( cur = cur[ dir ] ) && cur.nodeType !== 1 ) {}
+	return cur;
+}
+
+jQuery.each( {
+	parent: function( elem ) {
+		var parent = elem.parentNode;
+		return parent && parent.nodeType !== 11 ? parent : null;
+	},
+	parents: function( elem ) {
+		return dir( elem, "parentNode" );
+	},
+	parentsUntil: function( elem, _i, until ) {
+		return dir( elem, "parentNode", until );
+	},
+	next: function( elem ) {
+		return sibling( elem, "nextSibling" );
+	},
+	prev: function( elem ) {
+		return sibling( elem, "previousSibling" );
+	},
+	nextAll: function( elem ) {
+		return dir( elem, "nextSibling" );
+	},
+	prevAll: function( elem ) {
+		return dir( elem, "previousSibling" );
+	},
+	nextUntil: function( elem, _i, until ) {
+		return dir( elem, "nextSibling", until );
+	},
+	prevUntil: function( elem, _i, until ) {
+		return dir( elem, "previousSibling", until );
+	},
+	siblings: function( elem ) {
+		return siblings( ( elem.parentNode || {} ).firstChild, elem );
+	},
+	children: function( elem ) {
+		return siblings( elem.firstChild );
+	},
+	contents: function( elem ) {
+		if ( elem.contentDocument != null &&
+
+			// Support: IE 11+
+			// <object> elements with no `data` attribute has an object
+			// `contentDocument` with a `null` prototype.
+			getProto( elem.contentDocument ) ) {
+
+			return elem.contentDocument;
+		}
+
+		// Support: IE 9 - 11 only, iOS 7 only, Android Browser <=4.3 only
+		// Treat the template element as a regular one in browsers that
+		// don't support it.
+		if ( nodeName( elem, "template" ) ) {
+			elem = elem.content || elem;
+		}
+
+		return jQuery.merge( [], elem.childNodes );
+	}
+}, function( name, fn ) {
+	jQuery.fn[ name ] = function( until, selector ) {
+		var matched = jQuery.map( this, fn, until );
+
+		if ( name.slice( -5 ) !== "Until" ) {
+			selector = until;
+		}
+
+		if ( selector && typeof selector === "string" ) {
+			matched = jQuery.filter( selector, matched );
+		}
+
+		if ( this.length > 1 ) {
+
+			// Remove duplicates
+			if ( !guaranteedUnique[ name ] ) {
+				jQuery.uniqueSort( matched );
+			}
+
+			// Reverse order for parents* and prev-derivatives
+			if ( rparentsprev.test( name ) ) {
+				matched.reverse();
+			}
+		}
+
+		return this.pushStack( matched );
+	};
+} );
+var rnothtmlwhite = ( /[^\x20\t\r\n\f]+/g );
+
+
+
+// Convert String-formatted options into Object-formatted ones
+function createOptions( options ) {
+	var object = {};
+	jQuery.each( options.match( rnothtmlwhite ) || [], function( _, flag ) {
+		object[ flag ] = true;
+	} );
+	return object;
+}
+
+/*
+ * Create a callback list using the following parameters:
+ *
+ *	options: an optional list of space-separated options that will change how
+ *			the callback list behaves or a more traditional option object
+ *
+ * By default a callback list will act like an event callback list and can be
+ * "fired" multiple times.
+ *
+ * Possible options:
+ *
+ *	once:			will ensure the callback list can only be fired once (like a Deferred)
+ *
+ *	memory:			will keep track of previous values and will call any callback added
+ *					after the list has been fired right away with the latest "memorized"
+ *					values (like a Deferred)
+ *
+ *	unique:			will ensure a callback can only be added once (no duplicate in the list)
+ *
+ *	stopOnFalse:	interrupt callings when a callback returns false
+ *
+ */
+jQuery.Callbacks = function( options ) {
+
+	// Convert options from String-formatted to Object-formatted if needed
+	// (we check in cache first)
+	options = typeof options === "string" ?
+		createOptions( options ) :
+		jQuery.extend( {}, options );
+
+	var // Flag to know if list is currently firing
+		firing,
+
+		// Last fire value for non-forgettable lists
+		memory,
+
+		// Flag to know if list was already fired
+		fired,
+
+		// Flag to prevent firing
+		locked,
+
+		// Actual callback list
+		list = [],
+
+		// Queue of execution data for repeatable lists
+		queue = [],
+
+		// Index of currently firing callback (modified by add/remove as needed)
+		firingIndex = -1,
+
+		// Fire callbacks
+		fire = function() {
+
+			// Enforce single-firing
+			locked = locked || options.once;
+
+			// Execute callbacks for all pending executions,
+			// respecting firingIndex overrides and runtime changes
+			fired = firing = true;
+			for ( ; queue.length; firingIndex = -1 ) {
+				memory = queue.shift();
+				while ( ++firingIndex < list.length ) {
+
+					// Run callback and check for early termination
+					if ( list[ firingIndex ].apply( memory[ 0 ], memory[ 1 ] ) === false &&
+						options.stopOnFalse ) {
+
+						// Jump to end and forget the data so .add doesn't re-fire
+						firingIndex = list.length;
+						memory = false;
+					}
+				}
+			}
+
+			// Forget the data if we're done with it
+			if ( !options.memory ) {
+				memory = false;
+			}
+
+			firing = false;
+
+			// Clean up if we're done firing for good
+			if ( locked ) {
+
+				// Keep an empty list if we have data for future add calls
+				if ( memory ) {
+					list = [];
+
+				// Otherwise, this object is spent
+				} else {
+					list = "";
+				}
+			}
+		},
+
+		// Actual Callbacks object
+		self = {
+
+			// Add a callback or a collection of callbacks to the list
+			add: function() {
+				if ( list ) {
+
+					// If we have memory from a past run, we should fire after adding
+					if ( memory && !firing ) {
+						firingIndex = list.length - 1;
+						queue.push( memory );
+					}
+
+					( function add( args ) {
+						jQuery.each( args, function( _, arg ) {
+							if ( isFunction( arg ) ) {
+								if ( !options.unique || !self.has( arg ) ) {
+									list.push( arg );
+								}
+							} else if ( arg && arg.length && toType( arg ) !== "string" ) {
+
+								// Inspect recursively
+								add( arg );
+							}
+						} );
+					} )( arguments );
+
+					if ( memory && !firing ) {
+						fire();
+					}
+				}
+				return this;
+			},
+
+			// Remove a callback from the list
+			remove: function() {
+				jQuery.each( arguments, function( _, arg ) {
+					var index;
+					while ( ( index = jQuery.inArray( arg, list, index ) ) > -1 ) {
+						list.splice( index, 1 );
+
+						// Handle firing indexes
+						if ( index <= firingIndex ) {
+							firingIndex--;
+						}
+					}
+				} );
+				return this;
+			},
+
+			// Check if a given callback is in the list.
+			// If no argument is given, return whether or not list has callbacks attached.
+			has: function( fn ) {
+				return fn ?
+					jQuery.inArray( fn, list ) > -1 :
+					list.length > 0;
+			},
+
+			// Remove all callbacks from the list
+			empty: function() {
+				if ( list ) {
+					list = [];
+				}
+				return this;
+			},
+
+			// Disable .fire and .add
+			// Abort any current/pending executions
+			// Clear all callbacks and values
+			disable: function() {
+				locked = queue = [];
+				list = memory = "";
+				return this;
+			},
+			disabled: function() {
+				return !list;
+			},
+
+			// Disable .fire
+			// Also disable .add unless we have memory (since it would have no effect)
+			// Abort any pending executions
+			lock: function() {
+				locked = queue = [];
+				if ( !memory && !firing ) {
+					list = memory = "";
+				}
+				return this;
+			},
+			locked: function() {
+				return !!locked;
+			},
+
+			// Call all callbacks with the given context and arguments
+			fireWith: function( context, args ) {
+				if ( !locked ) {
+					args = args || [];
+					args = [ context, args.slice ? args.slice() : args ];
+					queue.push( args );
+					if ( !firing ) {
+						fire();
+					}
+				}
+				return this;
+			},
+
+			// Call all the callbacks with the given arguments
+			fire: function() {
+				self.fireWith( this, arguments );
+				return this;
+			},
+
+			// To know if the callbacks have already been called at least once
+			fired: function() {
+				return !!fired;
+			}
+		};
+
+	return self;
+};
+
+
+function Identity( v ) {
+	return v;
+}
+function Thrower( ex ) {
+	throw ex;
+}
+
+function adoptValue( value, resolve, reject, noValue ) {
+	var method;
+
+	try {
+
+		// Check for promise aspect first to privilege synchronous behavior
+		if ( value && isFunction( ( method = value.promise ) ) ) {
+			method.call( value ).done( resolve ).fail( reject );
+
+		// Other thenables
+		} else if ( value && isFunction( ( method = value.then ) ) ) {
+			method.call( value, resolve, reject );
+
+		// Other non-thenables
+		} else {
+
+			// Control `resolve` arguments by letting Array#slice cast boolean `noValue` to integer:
+			// * false: [ value ].slice( 0 ) => resolve( value )
+			// * true: [ value ].slice( 1 ) => resolve()
+			resolve.apply( undefined, [ value ].slice( noValue ) );
+		}
+
+	// For Promises/A+, convert exceptions into rejections
+	// Since jQuery.when doesn't unwrap thenables, we can skip the extra checks appearing in
+	// Deferred#then to conditionally suppress rejection.
+	} catch ( value ) {
+
+		// Support: Android 4.0 only
+		// Strict mode functions invoked without .call/.apply get global-object context
+		reject.apply( undefined, [ value ] );
+	}
+}
+
+jQuery.extend( {
+
+	Deferred: function( func ) {
+		var tuples = [
+
+				// action, add listener, callbacks,
+				// ... .then handlers, argument index, [final state]
+				[ "notify", "progress", jQuery.Callbacks( "memory" ),
+					jQuery.Callbacks( "memory" ), 2 ],
+				[ "resolve", "done", jQuery.Callbacks( "once memory" ),
+					jQuery.Callbacks( "once memory" ), 0, "resolved" ],
+				[ "reject", "fail", jQuery.Callbacks( "once memory" ),
+					jQuery.Callbacks( "once memory" ), 1, "rejected" ]
+			],
+			state = "pending",
+			promise = {
+				state: function() {
+					return state;
+				},
+				always: function() {
+					deferred.done( arguments ).fail( arguments );
+					return this;
+				},
+				"catch": function( fn ) {
+					return promise.then( null, fn );
+				},
+
+				// Keep pipe for back-compat
+				pipe: function( /* fnDone, fnFail, fnProgress */ ) {
+					var fns = arguments;
+
+					return jQuery.Deferred( function( newDefer ) {
+						jQuery.each( tuples, function( _i, tuple ) {
+
+							// Map tuples (progress, done, fail) to arguments (done, fail, progress)
+							var fn = isFunction( fns[ tuple[ 4 ] ] ) && fns[ tuple[ 4 ] ];
+
+							// deferred.progress(function() { bind to newDefer or newDefer.notify })
+							// deferred.done(function() { bind to newDefer or newDefer.resolve })
+							// deferred.fail(function() { bind to newDefer or newDefer.reject })
+							deferred[ tuple[ 1 ] ]( function() {
+								var returned = fn && fn.apply( this, arguments );
+								if ( returned && isFunction( returned.promise ) ) {
+									returned.promise()
+										.progress( newDefer.notify )
+										.done( newDefer.resolve )
+										.fail( newDefer.reject );
+								} else {
+									newDefer[ tuple[ 0 ] + "With" ](
+										this,
+										fn ? [ returned ] : arguments
+									);
+								}
+							} );
+						} );
+						fns = null;
+					} ).promise();
+				},
+				then: function( onFulfilled, onRejected, onProgress ) {
+					var maxDepth = 0;
+					function resolve( depth, deferred, handler, special ) {
+						return function() {
+							var that = this,
+								args = arguments,
+								mightThrow = function() {
+									var returned, then;
+
+									// Support: Promises/A+ section 2.3.3.3.3
+									// https://promisesaplus.com/#point-59
+									// Ignore double-resolution attempts
+									if ( depth < maxDepth ) {
+										return;
+									}
+
+									returned = handler.apply( that, args );
+
+									// Support: Promises/A+ section 2.3.1
+									// https://promisesaplus.com/#point-48
+									if ( returned === deferred.promise() ) {
+										throw new TypeError( "Thenable self-resolution" );
+									}
+
+									// Support: Promises/A+ sections 2.3.3.1, 3.5
+									// https://promisesaplus.com/#point-54
+									// https://promisesaplus.com/#point-75
+									// Retrieve `then` only once
+									then = returned &&
+
+										// Support: Promises/A+ section 2.3.4
+										// https://promisesaplus.com/#point-64
+										// Only check objects and functions for thenability
+										( typeof returned === "object" ||
+											typeof returned === "function" ) &&
+										returned.then;
+
+									// Handle a returned thenable
+									if ( isFunction( then ) ) {
+
+										// Special processors (notify) just wait for resolution
+										if ( special ) {
+											then.call(
+												returned,
+												resolve( maxDepth, deferred, Identity, special ),
+												resolve( maxDepth, deferred, Thrower, special )
+											);
+
+										// Normal processors (resolve) also hook into progress
+										} else {
+
+											// ...and disregard older resolution values
+											maxDepth++;
+
+											then.call(
+												returned,
+												resolve( maxDepth, deferred, Identity, special ),
+												resolve( maxDepth, deferred, Thrower, special ),
+												resolve( maxDepth, deferred, Identity,
+													deferred.notifyWith )
+											);
+										}
+
+									// Handle all other returned values
+									} else {
+
+										// Only substitute handlers pass on context
+										// and multiple values (non-spec behavior)
+										if ( handler !== Identity ) {
+											that = undefined;
+											args = [ returned ];
+										}
+
+										// Process the value(s)
+										// Default process is resolve
+										( special || deferred.resolveWith )( that, args );
+									}
+								},
+
+								// Only normal processors (resolve) catch and reject exceptions
+								process = special ?
+									mightThrow :
+									function() {
+										try {
+											mightThrow();
+										} catch ( e ) {
+
+											if ( jQuery.Deferred.exceptionHook ) {
+												jQuery.Deferred.exceptionHook( e,
+													process.stackTrace );
+											}
+
+											// Support: Promises/A+ section 2.3.3.3.4.1
+											// https://promisesaplus.com/#point-61
+											// Ignore post-resolution exceptions
+											if ( depth + 1 >= maxDepth ) {
+
+												// Only substitute handlers pass on context
+												// and multiple values (non-spec behavior)
+												if ( handler !== Thrower ) {
+													that = undefined;
+													args = [ e ];
+												}
+
+												deferred.rejectWith( that, args );
+											}
+										}
+									};
+
+							// Support: Promises/A+ section 2.3.3.3.1
+							// https://promisesaplus.com/#point-57
+							// Re-resolve promises immediately to dodge false rejection from
+							// subsequent errors
+							if ( depth ) {
+								process();
+							} else {
+
+								// Call an optional hook to record the stack, in case of exception
+								// since it's otherwise lost when execution goes async
+								if ( jQuery.Deferred.getStackHook ) {
+									process.stackTrace = jQuery.Deferred.getStackHook();
+								}
+								window.setTimeout( process );
+							}
+						};
+					}
+
+					return jQuery.Deferred( function( newDefer ) {
+
+						// progress_handlers.add( ... )
+						tuples[ 0 ][ 3 ].add(
+							resolve(
+								0,
+								newDefer,
+								isFunction( onProgress ) ?
+									onProgress :
+									Identity,
+								newDefer.notifyWith
+							)
+						);
+
+						// fulfilled_handlers.add( ... )
+						tuples[ 1 ][ 3 ].add(
+							resolve(
+								0,
+								newDefer,
+								isFunction( onFulfilled ) ?
+									onFulfilled :
+									Identity
+							)
+						);
+
+						// rejected_handlers.add( ... )
+						tuples[ 2 ][ 3 ].add(
+							resolve(
+								0,
+								newDefer,
+								isFunction( onRejected ) ?
+									onRejected :
+									Thrower
+							)
+						);
+					} ).promise();
+				},
+
+				// Get a promise for this deferred
+				// If obj is provided, the promise aspect is added to the object
+				promise: function( obj ) {
+					return obj != null ? jQuery.extend( obj, promise ) : promise;
+				}
+			},
+			deferred = {};
+
+		// Add list-specific methods
+		jQuery.each( tuples, function( i, tuple ) {
+			var list = tuple[ 2 ],
+				stateString = tuple[ 5 ];
+
+			// promise.progress = list.add
+			// promise.done = list.add
+			// promise.fail = list.add
+			promise[ tuple[ 1 ] ] = list.add;
+
+			// Handle state
+			if ( stateString ) {
+				list.add(
+					function() {
+
+						// state = "resolved" (i.e., fulfilled)
+						// state = "rejected"
+						state = stateString;
+					},
+
+					// rejected_callbacks.disable
+					// fulfilled_callbacks.disable
+					tuples[ 3 - i ][ 2 ].disable,
+
+					// rejected_handlers.disable
+					// fulfilled_handlers.disable
+					tuples[ 3 - i ][ 3 ].disable,
+
+					// progress_callbacks.lock
+					tuples[ 0 ][ 2 ].lock,
+
+					// progress_handlers.lock
+					tuples[ 0 ][ 3 ].lock
+				);
+			}
+
+			// progress_handlers.fire
+			// fulfilled_handlers.fire
+			// rejected_handlers.fire
+			list.add( tuple[ 3 ].fire );
+
+			// deferred.notify = function() { deferred.notifyWith(...) }
+			// deferred.resolve = function() { deferred.resolveWith(...) }
+			// deferred.reject = function() { deferred.rejectWith(...) }
+			deferred[ tuple[ 0 ] ] = function() {
+				deferred[ tuple[ 0 ] + "With" ]( this === deferred ? undefined : this, arguments );
+				return this;
+			};
+
+			// deferred.notifyWith = list.fireWith
+			// deferred.resolveWith = list.fireWith
+			// deferred.rejectWith = list.fireWith
+			deferred[ tuple[ 0 ] + "With" ] = list.fireWith;
+		} );
+
+		// Make the deferred a promise
+		promise.promise( deferred );
+
+		// Call given func if any
+		if ( func ) {
+			func.call( deferred, deferred );
+		}
+
+		// All done!
+		return deferred;
+	},
+
+	// Deferred helper
+	when: function( singleValue ) {
+		var
+
+			// count of uncompleted subordinates
+			remaining = arguments.length,
+
+			// count of unprocessed arguments
+			i = remaining,
+
+			// subordinate fulfillment data
+			resolveContexts = Array( i ),
+			resolveValues = slice.call( arguments ),
+
+			// the primary Deferred
+			primary = jQuery.Deferred(),
+
+			// subordinate callback factory
+			updateFunc = function( i ) {
+				return function( value ) {
+					resolveContexts[ i ] = this;
+					resolveValues[ i ] = arguments.length > 1 ? slice.call( arguments ) : value;
+					if ( !( --remaining ) ) {
+						primary.resolveWith( resolveContexts, resolveValues );
+					}
+				};
+			};
+
+		// Single- and empty arguments are adopted like Promise.resolve
+		if ( remaining <= 1 ) {
+			adoptValue( singleValue, primary.done( updateFunc( i ) ).resolve, primary.reject,
+				!remaining );
+
+			// Use .then() to unwrap secondary thenables (cf. gh-3000)
+			if ( primary.state() === "pending" ||
+				isFunction( resolveValues[ i ] && resolveValues[ i ].then ) ) {
+
+				return primary.then();
+			}
+		}
+
+		// Multiple arguments are aggregated like Promise.all array elements
+		while ( i-- ) {
+			adoptValue( resolveValues[ i ], updateFunc( i ), primary.reject );
+		}
+
+		return primary.promise();
+	}
+} );
+
+
+// These usually indicate a programmer mistake during development,
+// warn about them ASAP rather than swallowing them by default.
+var rerrorNames = /^(Eval|Internal|Range|Reference|Syntax|Type|URI)Error$/;
+
+jQuery.Deferred.exceptionHook = function( error, stack ) {
+
+	// Support: IE 8 - 9 only
+	// Console exists when dev tools are open, which can happen at any time
+	if ( window.console && window.console.warn && error && rerrorNames.test( error.name ) ) {
+		window.console.warn( "jQuery.Deferred exception: " + error.message, error.stack, stack );
+	}
+};
+
+
+
+
+jQuery.readyException = function( error ) {
+	window.setTimeout( function() {
+		throw error;
+	} );
+};
+
+
+
+
+// The deferred used on DOM ready
+var readyList = jQuery.Deferred();
+
+jQuery.fn.ready = function( fn ) {
+
+	readyList
+		.then( fn )
+
+		// Wrap jQuery.readyException in a function so that the lookup
+		// happens at the time of error handling instead of callback
+		// registration.
+		.catch( function( error ) {
+			jQuery.readyException( error );
+		} );
+
+	return this;
+};
+
+jQuery.extend( {
+
+	// Is the DOM ready to be used? Set to true once it occurs.
+	isReady: false,
+
+	// A counter to track how many items to wait for before
+	// the ready event fires. See #6781
+	readyWait: 1,
+
+	// Handle when the DOM is ready
+	ready: function( wait ) {
+
+		// Abort if there are pending holds or we're already ready
+		if ( wait === true ? --jQuery.readyWait : jQuery.isReady ) {
+			return;
+		}
+
+		// Remember that the DOM is ready
+		jQuery.isReady = true;
+
+		// If a normal DOM Ready event fired, decrement, and wait if need be
+		if ( wait !== true && --jQuery.readyWait > 0 ) {
+			return;
+		}
+
+		// If there are functions bound, to execute
+		readyList.resolveWith( document, [ jQuery ] );
+	}
+} );
+
+jQuery.ready.then = readyList.then;
+
+// The ready event handler and self cleanup method
+function completed() {
+	document.removeEventListener( "DOMContentLoaded", completed );
+	window.removeEventListener( "load", completed );
+	jQuery.ready();
+}
+
+// Catch cases where $(document).ready() is called
+// after the browser event has already occurred.
+// Support: IE <=9 - 10 only
+// Older IE sometimes signals "interactive" too soon
+if ( document.readyState === "complete" ||
+	( document.readyState !== "loading" && !document.documentElement.doScroll ) ) {
+
+	// Handle it asynchronously to allow scripts the opportunity to delay ready
+	window.setTimeout( jQuery.ready );
+
+} else {
+
+	// Use the handy event callback
+	document.addEventListener( "DOMContentLoaded", completed );
+
+	// A fallback to window.onload, that will always work
+	window.addEventListener( "load", completed );
+}
+
+
+
+
+// Multifunctional method to get and set values of a collection
+// The value/s can optionally be executed if it's a function
+var access = function( elems, fn, key, value, chainable, emptyGet, raw ) {
+	var i = 0,
+		len = elems.length,
+		bulk = key == null;
+
+	// Sets many values
+	if ( toType( key ) === "object" ) {
+		chainable = true;
+		for ( i in key ) {
+			access( elems, fn, i, key[ i ], true, emptyGet, raw );
+		}
+
+	// Sets one value
+	} else if ( value !== undefined ) {
+		chainable = true;
+
+		if ( !isFunction( value ) ) {
+			raw = true;
+		}
+
+		if ( bulk ) {
+
+			// Bulk operations run against the entire set
+			if ( raw ) {
+				fn.call( elems, value );
+				fn = null;
+
+			// ...except when executing function values
+			} else {
+				bulk = fn;
+				fn = function( elem, _key, value ) {
+					return bulk.call( jQuery( elem ), value );
+				};
+			}
+		}
+
+		if ( fn ) {
+			for ( ; i < len; i++ ) {
+				fn(
+					elems[ i ], key, raw ?
+						value :
+						value.call( elems[ i ], i, fn( elems[ i ], key ) )
+				);
+			}
+		}
+	}
+
+	if ( chainable ) {
+		return elems;
+	}
+
+	// Gets
+	if ( bulk ) {
+		return fn.call( elems );
+	}
+
+	return len ? fn( elems[ 0 ], key ) : emptyGet;
+};
+
+
+// Matches dashed string for camelizing
+var rmsPrefix = /^-ms-/,
+	rdashAlpha = /-([a-z])/g;
+
+// Used by camelCase as callback to replace()
+function fcamelCase( _all, letter ) {
+	return letter.toUpperCase();
+}
+
+// Convert dashed to camelCase; used by the css and data modules
+// Support: IE <=9 - 11, Edge 12 - 15
+// Microsoft forgot to hump their vendor prefix (#9572)
+function camelCase( string ) {
+	return string.replace( rmsPrefix, "ms-" ).replace( rdashAlpha, fcamelCase );
+}
+var acceptData = function( owner ) {
+
+	// Accepts only:
+	//  - Node
+	//    - Node.ELEMENT_NODE
+	//    - Node.DOCUMENT_NODE
+	//  - Object
+	//    - Any
+	return owner.nodeType === 1 || owner.nodeType === 9 || !( +owner.nodeType );
+};
+
+
+
+
+function Data() {
+	this.expando = jQuery.expando + Data.uid++;
+}
+
+Data.uid = 1;
+
+Data.prototype = {
+
+	cache: function( owner ) {
+
+		// Check if the owner object already has a cache
+		var value = owner[ this.expando ];
+
+		// If not, create one
+		if ( !value ) {
+			value = {};
+
+			// We can accept data for non-element nodes in modern browsers,
+			// but we should not, see #8335.
+			// Always return an empty object.
+			if ( acceptData( owner ) ) {
+
+				// If it is a node unlikely to be stringify-ed or looped over
+				// use plain assignment
+				if ( owner.nodeType ) {
+					owner[ this.expando ] = value;
+
+				// Otherwise secure it in a non-enumerable property
+				// configurable must be true to allow the property to be
+				// deleted when data is removed
+				} else {
+					Object.defineProperty( owner, this.expando, {
+						value: value,
+						configurable: true
+					} );
+				}
+			}
+		}
+
+		return value;
+	},
+	set: function( owner, data, value ) {
+		var prop,
+			cache = this.cache( owner );
+
+		// Handle: [ owner, key, value ] args
+		// Always use camelCase key (gh-2257)
+		if ( typeof data === "string" ) {
+			cache[ camelCase( data ) ] = value;
+
+		// Handle: [ owner, { properties } ] args
+		} else {
+
+			// Copy the properties one-by-one to the cache object
+			for ( prop in data ) {
+				cache[ camelCase( prop ) ] = data[ prop ];
+			}
+		}
+		return cache;
+	},
+	get: function( owner, key ) {
+		return key === undefined ?
+			this.cache( owner ) :
+
+			// Always use camelCase key (gh-2257)
+			owner[ this.expando ] && owner[ this.expando ][ camelCase( key ) ];
+	},
+	access: function( owner, key, value ) {
+
+		// In cases where either:
+		//
+		//   1. No key was specified
+		//   2. A string key was specified, but no value provided
+		//
+		// Take the "read" path and allow the get method to determine
+		// which value to return, respectively either:
+		//
+		//   1. The entire cache object
+		//   2. The data stored at the key
+		//
+		if ( key === undefined ||
+				( ( key && typeof key === "string" ) && value === undefined ) ) {
+
+			return this.get( owner, key );
+		}
+
+		// When the key is not a string, or both a key and value
+		// are specified, set or extend (existing objects) with either:
+		//
+		//   1. An object of properties
+		//   2. A key and value
+		//
+		this.set( owner, key, value );
+
+		// Since the "set" path can have two possible entry points
+		// return the expected data based on which path was taken[*]
+		return value !== undefined ? value : key;
+	},
+	remove: function( owner, key ) {
+		var i,
+			cache = owner[ this.expando ];
+
+		if ( cache === undefined ) {
+			return;
+		}
+
+		if ( key !== undefined ) {
+
+			// Support array or space separated string of keys
+			if ( Array.isArray( key ) ) {
+
+				// If key is an array of keys...
+				// We always set camelCase keys, so remove that.
+				key = key.map( camelCase );
+			} else {
+				key = camelCase( key );
+
+				// If a key with the spaces exists, use it.
+				// Otherwise, create an array by matching non-whitespace
+				key = key in cache ?
+					[ key ] :
+					( key.match( rnothtmlwhite ) || [] );
+			}
+
+			i = key.length;
+
+			while ( i-- ) {
+				delete cache[ key[ i ] ];
+			}
+		}
+
+		// Remove the expando if there's no more data
+		if ( key === undefined || jQuery.isEmptyObject( cache ) ) {
+
+			// Support: Chrome <=35 - 45
+			// Webkit & Blink performance suffers when deleting properties
+			// from DOM nodes, so set to undefined instead
+			// https://bugs.chromium.org/p/chromium/issues/detail?id=378607 (bug restricted)
+			if ( owner.nodeType ) {
+				owner[ this.expando ] = undefined;
+			} else {
+				delete owner[ this.expando ];
+			}
+		}
+	},
+	hasData: function( owner ) {
+		var cache = owner[ this.expando ];
+		return cache !== undefined && !jQuery.isEmptyObject( cache );
+	}
+};
+var dataPriv = new Data();
+
+var dataUser = new Data();
+
+
+
+//	Implementation Summary
+//
+//	1. Enforce API surface and semantic compatibility with 1.9.x branch
+//	2. Improve the module's maintainability by reducing the storage
+//		paths to a single mechanism.
+//	3. Use the same single mechanism to support "private" and "user" data.
+//	4. _Never_ expose "private" data to user code (TODO: Drop _data, _removeData)
+//	5. Avoid exposing implementation details on user objects (eg. expando properties)
+//	6. Provide a clear path for implementation upgrade to WeakMap in 2014
+
+var rbrace = /^(?:\{[\w\W]*\}|\[[\w\W]*\])$/,
+	rmultiDash = /[A-Z]/g;
+
+function getData( data ) {
+	if ( data === "true" ) {
+		return true;
+	}
+
+	if ( data === "false" ) {
+		return false;
+	}
+
+	if ( data === "null" ) {
+		return null;
+	}
+
+	// Only convert to a number if it doesn't change the string
+	if ( data === +data + "" ) {
+		return +data;
+	}
+
+	if ( rbrace.test( data ) ) {
+		return JSON.parse( data );
+	}
+
+	return data;
+}
+
+function dataAttr( elem, key, data ) {
+	var name;
+
+	// If nothing was found internally, try to fetch any
+	// data from the HTML5 data-* attribute
+	if ( data === undefined && elem.nodeType === 1 ) {
+		name = "data-" + key.replace( rmultiDash, "-$&" ).toLowerCase();
+		data = elem.getAttribute( name );
+
+		if ( typeof data === "string" ) {
+			try {
+				data = getData( data );
+			} catch ( e ) {}
+
+			// Make sure we set the data so it isn't changed later
+			dataUser.set( elem, key, data );
+		} else {
+			data = undefined;
+		}
+	}
+	return data;
+}
+
+jQuery.extend( {
+	hasData: function( elem ) {
+		return dataUser.hasData( elem ) || dataPriv.hasData( elem );
+	},
+
+	data: function( elem, name, data ) {
+		return dataUser.access( elem, name, data );
+	},
+
+	removeData: function( elem, name ) {
+		dataUser.remove( elem, name );
+	},
+
+	// TODO: Now that all calls to _data and _removeData have been replaced
+	// with direct calls to dataPriv methods, these can be deprecated.
+	_data: function( elem, name, data ) {
+		return dataPriv.access( elem, name, data );
+	},
+
+	_removeData: function( elem, name ) {
+		dataPriv.remove( elem, name );
+	}
+} );
+
+jQuery.fn.extend( {
+	data: function( key, value ) {
+		var i, name, data,
+			elem = this[ 0 ],
+			attrs = elem && elem.attributes;
+
+		// Gets all values
+		if ( key === undefined ) {
+			if ( this.length ) {
+				data = dataUser.get( elem );
+
+				if ( elem.nodeType === 1 && !dataPriv.get( elem, "hasDataAttrs" ) ) {
+					i = attrs.length;
+					while ( i-- ) {
+
+						// Support: IE 11 only
+						// The attrs elements can be null (#14894)
+						if ( attrs[ i ] ) {
+							name = attrs[ i ].name;
+							if ( name.indexOf( "data-" ) === 0 ) {
+								name = camelCase( name.slice( 5 ) );
+								dataAttr( elem, name, data[ name ] );
+							}
+						}
+					}
+					dataPriv.set( elem, "hasDataAttrs", true );
+				}
+			}
+
+			return data;
+		}
+
+		// Sets multiple values
+		if ( typeof key === "object" ) {
+			return this.each( function() {
+				dataUser.set( this, key );
+			} );
+		}
+
+		return access( this, function( value ) {
+			var data;
+
+			// The calling jQuery object (element matches) is not empty
+			// (and therefore has an element appears at this[ 0 ]) and the
+			// `value` parameter was not undefined. An empty jQuery object
+			// will result in `undefined` for elem = this[ 0 ] which will
+			// throw an exception if an attempt to read a data cache is made.
+			if ( elem && value === undefined ) {
+
+				// Attempt to get data from the cache
+				// The key will always be camelCased in Data
+				data = dataUser.get( elem, key );
+				if ( data !== undefined ) {
+					return data;
+				}
+
+				// Attempt to "discover" the data in
+				// HTML5 custom data-* attrs
+				data = dataAttr( elem, key );
+				if ( data !== undefined ) {
+					return data;
+				}
+
+				// We tried really hard, but the data doesn't exist.
+				return;
+			}
+
+			// Set the data...
+			this.each( function() {
+
+				// We always store the camelCased key
+				dataUser.set( this, key, value );
+			} );
+		}, null, value, arguments.length > 1, null, true );
+	},
+
+	removeData: function( key ) {
+		return this.each( function() {
+			dataUser.remove( this, key );
+		} );
+	}
+} );
+
+
+jQuery.extend( {
+	queue: function( elem, type, data ) {
+		var queue;
+
+		if ( elem ) {
+			type = ( type || "fx" ) + "queue";
+			queue = dataPriv.get( elem, type );
+
+			// Speed up dequeue by getting out quickly if this is just a lookup
+			if ( data ) {
+				if ( !queue || Array.isArray( data ) ) {
+					queue = dataPriv.access( elem, type, jQuery.makeArray( data ) );
+				} else {
+					queue.push( data );
+				}
+			}
+			return queue || [];
+		}
+	},
+
+	dequeue: function( elem, type ) {
+		type = type || "fx";
+
+		var queue = jQuery.queue( elem, type ),
+			startLength = queue.length,
+			fn = queue.shift(),
+			hooks = jQuery._queueHooks( elem, type ),
+			next = function() {
+				jQuery.dequeue( elem, type );
+			};
+
+		// If the fx queue is dequeued, always remove the progress sentinel
+		if ( fn === "inprogress" ) {
+			fn = queue.shift();
+			startLength--;
+		}
+
+		if ( fn ) {
+
+			// Add a progress sentinel to prevent the fx queue from being
+			// automatically dequeued
+			if ( type === "fx" ) {
+				queue.unshift( "inprogress" );
+			}
+
+			// Clear up the last queue stop function
+			delete hooks.stop;
+			fn.call( elem, next, hooks );
+		}
+
+		if ( !startLength && hooks ) {
+			hooks.empty.fire();
+		}
+	},
+
+	// Not public - generate a queueHooks object, or return the current one
+	_queueHooks: function( elem, type ) {
+		var key = type + "queueHooks";
+		return dataPriv.get( elem, key ) || dataPriv.access( elem, key, {
+			empty: jQuery.Callbacks( "once memory" ).add( function() {
+				dataPriv.remove( elem, [ type + "queue", key ] );
+			} )
+		} );
+	}
+} );
+
+jQuery.fn.extend( {
+	queue: function( type, data ) {
+		var setter = 2;
+
+		if ( typeof type !== "string" ) {
+			data = type;
+			type = "fx";
+			setter--;
+		}
+
+		if ( arguments.length < setter ) {
+			return jQuery.queue( this[ 0 ], type );
+		}
+
+		return data === undefined ?
+			this :
+			this.each( function() {
+				var queue = jQuery.queue( this, type, data );
+
+				// Ensure a hooks for this queue
+				jQuery._queueHooks( this, type );
+
+				if ( type === "fx" && queue[ 0 ] !== "inprogress" ) {
+					jQuery.dequeue( this, type );
+				}
+			} );
+	},
+	dequeue: function( type ) {
+		return this.each( function() {
+			jQuery.dequeue( this, type );
+		} );
+	},
+	clearQueue: function( type ) {
+		return this.queue( type || "fx", [] );
+	},
+
+	// Get a promise resolved when queues of a certain type
+	// are emptied (fx is the type by default)
+	promise: function( type, obj ) {
+		var tmp,
+			count = 1,
+			defer = jQuery.Deferred(),
+			elements = this,
+			i = this.length,
+			resolve = function() {
+				if ( !( --count ) ) {
+					defer.resolveWith( elements, [ elements ] );
+				}
+			};
+
+		if ( typeof type !== "string" ) {
+			obj = type;
+			type = undefined;
+		}
+		type = type || "fx";
+
+		while ( i-- ) {
+			tmp = dataPriv.get( elements[ i ], type + "queueHooks" );
+			if ( tmp && tmp.empty ) {
+				count++;
+				tmp.empty.add( resolve );
+			}
+		}
+		resolve();
+		return defer.promise( obj );
+	}
+} );
+var pnum = ( /[+-]?(?:\d*\.|)\d+(?:[eE][+-]?\d+|)/ ).source;
+
+var rcssNum = new RegExp( "^(?:([+-])=|)(" + pnum + ")([a-z%]*)$", "i" );
+
+
+var cssExpand = [ "Top", "Right", "Bottom", "Left" ];
+
+var documentElement = document.documentElement;
+
+
+
+	var isAttached = function( elem ) {
+			return jQuery.contains( elem.ownerDocument, elem );
+		},
+		composed = { composed: true };
+
+	// Support: IE 9 - 11+, Edge 12 - 18+, iOS 10.0 - 10.2 only
+	// Check attachment across shadow DOM boundaries when possible (gh-3504)
+	// Support: iOS 10.0-10.2 only
+	// Early iOS 10 versions support `attachShadow` but not `getRootNode`,
+	// leading to errors. We need to check for `getRootNode`.
+	if ( documentElement.getRootNode ) {
+		isAttached = function( elem ) {
+			return jQuery.contains( elem.ownerDocument, elem ) ||
+				elem.getRootNode( composed ) === elem.ownerDocument;
+		};
+	}
+var isHiddenWithinTree = function( elem, el ) {
+
+		// isHiddenWithinTree might be called from jQuery#filter function;
+		// in that case, element will be second argument
+		elem = el || elem;
+
+		// Inline style trumps all
+		return elem.style.display === "none" ||
+			elem.style.display === "" &&
+
+			// Otherwise, check computed style
+			// Support: Firefox <=43 - 45
+			// Disconnected elements can have computed display: none, so first confirm that elem is
+			// in the document.
+			isAttached( elem ) &&
+
+			jQuery.css( elem, "display" ) === "none";
+	};
+
+
+
+function adjustCSS( elem, prop, valueParts, tween ) {
+	var adjusted, scale,
+		maxIterations = 20,
+		currentValue = tween ?
+			function() {
+				return tween.cur();
+			} :
+			function() {
+				return jQuery.css( elem, prop, "" );
+			},
+		initial = currentValue(),
+		unit = valueParts && valueParts[ 3 ] || ( jQuery.cssNumber[ prop ] ? "" : "px" ),
+
+		// Starting value computation is required for potential unit mismatches
+		initialInUnit = elem.nodeType &&
+			( jQuery.cssNumber[ prop ] || unit !== "px" && +initial ) &&
+			rcssNum.exec( jQuery.css( elem, prop ) );
+
+	if ( initialInUnit && initialInUnit[ 3 ] !== unit ) {
+
+		// Support: Firefox <=54
+		// Halve the iteration target value to prevent interference from CSS upper bounds (gh-2144)
+		initial = initial / 2;
+
+		// Trust units reported by jQuery.css
+		unit = unit || initialInUnit[ 3 ];
+
+		// Iteratively approximate from a nonzero starting point
+		initialInUnit = +initial || 1;
+
+		while ( maxIterations-- ) {
+
+			// Evaluate and update our best guess (doubling guesses that zero out).
+			// Finish if the scale equals or crosses 1 (making the old*new product non-positive).
+			jQuery.style( elem, prop, initialInUnit + unit );
+			if ( ( 1 - scale ) * ( 1 - ( scale = currentValue() / initial || 0.5 ) ) <= 0 ) {
+				maxIterations = 0;
+			}
+			initialInUnit = initialInUnit / scale;
+
+		}
+
+		initialInUnit = initialInUnit * 2;
+		jQuery.style( elem, prop, initialInUnit + unit );
+
+		// Make sure we update the tween properties later on
+		valueParts = valueParts || [];
+	}
+
+	if ( valueParts ) {
+		initialInUnit = +initialInUnit || +initial || 0;
+
+		// Apply relative offset (+=/-=) if specified
+		adjusted = valueParts[ 1 ] ?
+			initialInUnit + ( valueParts[ 1 ] + 1 ) * valueParts[ 2 ] :
+			+valueParts[ 2 ];
+		if ( tween ) {
+			tween.unit = unit;
+			tween.start = initialInUnit;
+			tween.end = adjusted;
+		}
+	}
+	return adjusted;
+}
+
+
+var defaultDisplayMap = {};
+
+function getDefaultDisplay( elem ) {
+	var temp,
+		doc = elem.ownerDocument,
+		nodeName = elem.nodeName,
+		display = defaultDisplayMap[ nodeName ];
+
+	if ( display ) {
+		return display;
+	}
+
+	temp = doc.body.appendChild( doc.createElement( nodeName ) );
+	display = jQuery.css( temp, "display" );
+
+	temp.parentNode.removeChild( temp );
+
+	if ( display === "none" ) {
+		display = "block";
+	}
+	defaultDisplayMap[ nodeName ] = display;
+
+	return display;
+}
+
+function showHide( elements, show ) {
+	var display, elem,
+		values = [],
+		index = 0,
+		length = elements.length;
+
+	// Determine new display value for elements that need to change
+	for ( ; index < length; index++ ) {
+		elem = elements[ index ];
+		if ( !elem.style ) {
+			continue;
+		}
+
+		display = elem.style.display;
+		if ( show ) {
+
+			// Since we force visibility upon cascade-hidden elements, an immediate (and slow)
+			// check is required in this first loop unless we have a nonempty display value (either
+			// inline or about-to-be-restored)
+			if ( display === "none" ) {
+				values[ index ] = dataPriv.get( elem, "display" ) || null;
+				if ( !values[ index ] ) {
+					elem.style.display = "";
+				}
+			}
+			if ( elem.style.display === "" && isHiddenWithinTree( elem ) ) {
+				values[ index ] = getDefaultDisplay( elem );
+			}
+		} else {
+			if ( display !== "none" ) {
+				values[ index ] = "none";
+
+				// Remember what we're overwriting
+				dataPriv.set( elem, "display", display );
+			}
+		}
+	}
+
+	// Set the display of the elements in a second loop to avoid constant reflow
+	for ( index = 0; index < length; index++ ) {
+		if ( values[ index ] != null ) {
+			elements[ index ].style.display = values[ index ];
+		}
+	}
+
+	return elements;
+}
+
+jQuery.fn.extend( {
+	show: function() {
+		return showHide( this, true );
+	},
+	hide: function() {
+		return showHide( this );
+	},
+	toggle: function( state ) {
+		if ( typeof state === "boolean" ) {
+			return state ? this.show() : this.hide();
+		}
+
+		return this.each( function() {
+			if ( isHiddenWithinTree( this ) ) {
+				jQuery( this ).show();
+			} else {
+				jQuery( this ).hide();
+			}
+		} );
+	}
+} );
+var rcheckableType = ( /^(?:checkbox|radio)$/i );
+
+var rtagName = ( /<([a-z][^\/\0>\x20\t\r\n\f]*)/i );
+
+var rscriptType = ( /^$|^module$|\/(?:java|ecma)script/i );
+
+
+
+( function() {
+	var fragment = document.createDocumentFragment(),
+		div = fragment.appendChild( document.createElement( "div" ) ),
+		input = document.createElement( "input" );
+
+	// Support: Android 4.0 - 4.3 only
+	// Check state lost if the name is set (#11217)
+	// Support: Windows Web Apps (WWA)
+	// `name` and `type` must use .setAttribute for WWA (#14901)
+	input.setAttribute( "type", "radio" );
+	input.setAttribute( "checked", "checked" );
+	input.setAttribute( "name", "t" );
+
+	div.appendChild( input );
+
+	// Support: Android <=4.1 only
+	// Older WebKit doesn't clone checked state correctly in fragments
+	support.checkClone = div.cloneNode( true ).cloneNode( true ).lastChild.checked;
+
+	// Support: IE <=11 only
+	// Make sure textarea (and checkbox) defaultValue is properly cloned
+	div.innerHTML = "<textarea>x</textarea>";
+	support.noCloneChecked = !!div.cloneNode( true ).lastChild.defaultValue;
+
+	// Support: IE <=9 only
+	// IE <=9 replaces <option> tags with their contents when inserted outside of
+	// the select element.
+	div.innerHTML = "<option></option>";
+	support.option = !!div.lastChild;
+} )();
+
+
+// We have to close these tags to support XHTML (#13200)
+var wrapMap = {
+
+	// XHTML parsers do not magically insert elements in the
+	// same way that tag soup parsers do. So we cannot shorten
+	// this by omitting <tbody> or other required elements.
+	thead: [ 1, "<table>", "</table>" ],
+	col: [ 2, "<table><colgroup>", "</colgroup></table>" ],
+	tr: [ 2, "<table><tbody>", "</tbody></table>" ],
+	td: [ 3, "<table><tbody><tr>", "</tr></tbody></table>" ],
+
+	_default: [ 0, "", "" ]
+};
+
+wrapMap.tbody = wrapMap.tfoot = wrapMap.colgroup = wrapMap.caption = wrapMap.thead;
+wrapMap.th = wrapMap.td;
+
+// Support: IE <=9 only
+if ( !support.option ) {
+	wrapMap.optgroup = wrapMap.option = [ 1, "<select multiple='multiple'>", "</select>" ];
+}
+
+
+function getAll( context, tag ) {
+
+	// Support: IE <=9 - 11 only
+	// Use typeof to avoid zero-argument method invocation on host objects (#15151)
+	var ret;
+
+	if ( typeof context.getElementsByTagName !== "undefined" ) {
+		ret = context.getElementsByTagName( tag || "*" );
+
+	} else if ( typeof context.querySelectorAll !== "undefined" ) {
+		ret = context.querySelectorAll( tag || "*" );
+
+	} else {
+		ret = [];
+	}
+
+	if ( tag === undefined || tag && nodeName( context, tag ) ) {
+		return jQuery.merge( [ context ], ret );
+	}
+
+	return ret;
+}
+
+
+// Mark scripts as having already been evaluated
+function setGlobalEval( elems, refElements ) {
+	var i = 0,
+		l = elems.length;
+
+	for ( ; i < l; i++ ) {
+		dataPriv.set(
+			elems[ i ],
+			"globalEval",
+			!refElements || dataPriv.get( refElements[ i ], "globalEval" )
+		);
+	}
+}
+
+
+var rhtml = /<|&#?\w+;/;
+
+function buildFragment( elems, context, scripts, selection, ignored ) {
+	var elem, tmp, tag, wrap, attached, j,
+		fragment = context.createDocumentFragment(),
+		nodes = [],
+		i = 0,
+		l = elems.length;
+
+	for ( ; i < l; i++ ) {
+		elem = elems[ i ];
+
+		if ( elem || elem === 0 ) {
+
+			// Add nodes directly
+			if ( toType( elem ) === "object" ) {
+
+				// Support: Android <=4.0 only, PhantomJS 1 only
+				// push.apply(_, arraylike) throws on ancient WebKit
+				jQuery.merge( nodes, elem.nodeType ? [ elem ] : elem );
+
+			// Convert non-html into a text node
+			} else if ( !rhtml.test( elem ) ) {
+				nodes.push( context.createTextNode( elem ) );
+
+			// Convert html into DOM nodes
+			} else {
+				tmp = tmp || fragment.appendChild( context.createElement( "div" ) );
+
+				// Deserialize a standard representation
+				tag = ( rtagName.exec( elem ) || [ "", "" ] )[ 1 ].toLowerCase();
+				wrap = wrapMap[ tag ] || wrapMap._default;
+				tmp.innerHTML = wrap[ 1 ] + jQuery.htmlPrefilter( elem ) + wrap[ 2 ];
+
+				// Descend through wrappers to the right content
+				j = wrap[ 0 ];
+				while ( j-- ) {
+					tmp = tmp.lastChild;
+				}
+
+				// Support: Android <=4.0 only, PhantomJS 1 only
+				// push.apply(_, arraylike) throws on ancient WebKit
+				jQuery.merge( nodes, tmp.childNodes );
+
+				// Remember the top-level container
+				tmp = fragment.firstChild;
+
+				// Ensure the created nodes are orphaned (#12392)
+				tmp.textContent = "";
+			}
+		}
+	}
+
+	// Remove wrapper from fragment
+	fragment.textContent = "";
+
+	i = 0;
+	while ( ( elem = nodes[ i++ ] ) ) {
+
+		// Skip elements already in the context collection (trac-4087)
+		if ( selection && jQuery.inArray( elem, selection ) > -1 ) {
+			if ( ignored ) {
+				ignored.push( elem );
+			}
+			continue;
+		}
+
+		attached = isAttached( elem );
+
+		// Append to fragment
+		tmp = getAll( fragment.appendChild( elem ), "script" );
+
+		// Preserve script evaluation history
+		if ( attached ) {
+			setGlobalEval( tmp );
+		}
+
+		// Capture executables
+		if ( scripts ) {
+			j = 0;
+			while ( ( elem = tmp[ j++ ] ) ) {
+				if ( rscriptType.test( elem.type || "" ) ) {
+					scripts.push( elem );
+				}
+			}
+		}
+	}
+
+	return fragment;
+}
+
+
+var rtypenamespace = /^([^.]*)(?:\.(.+)|)/;
+
+function returnTrue() {
+	return true;
+}
+
+function returnFalse() {
+	return false;
+}
+
+// Support: IE <=9 - 11+
+// focus() and blur() are asynchronous, except when they are no-op.
+// So expect focus to be synchronous when the element is already active,
+// and blur to be synchronous when the element is not already active.
+// (focus and blur are always synchronous in other supported browsers,
+// this just defines when we can count on it).
+function expectSync( elem, type ) {
+	return ( elem === safeActiveElement() ) === ( type === "focus" );
+}
+
+// Support: IE <=9 only
+// Accessing document.activeElement can throw unexpectedly
+// https://bugs.jquery.com/ticket/13393
+function safeActiveElement() {
+	try {
+		return document.activeElement;
+	} catch ( err ) { }
+}
+
+function on( elem, types, selector, data, fn, one ) {
+	var origFn, type;
+
+	// Types can be a map of types/handlers
+	if ( typeof types === "object" ) {
+
+		// ( types-Object, selector, data )
+		if ( typeof selector !== "string" ) {
+
+			// ( types-Object, data )
+			data = data || selector;
+			selector = undefined;
+		}
+		for ( type in types ) {
+			on( elem, type, selector, data, types[ type ], one );
+		}
+		return elem;
+	}
+
+	if ( data == null && fn == null ) {
+
+		// ( types, fn )
+		fn = selector;
+		data = selector = undefined;
+	} else if ( fn == null ) {
+		if ( typeof selector === "string" ) {
+
+			// ( types, selector, fn )
+			fn = data;
+			data = undefined;
+		} else {
+
+			// ( types, data, fn )
+			fn = data;
+			data = selector;
+			selector = undefined;
+		}
+	}
+	if ( fn === false ) {
+		fn = returnFalse;
+	} else if ( !fn ) {
+		return elem;
+	}
+
+	if ( one === 1 ) {
+		origFn = fn;
+		fn = function( event ) {
+
+			// Can use an empty set, since event contains the info
+			jQuery().off( event );
+			return origFn.apply( this, arguments );
+		};
+
+		// Use same guid so caller can remove using origFn
+		fn.guid = origFn.guid || ( origFn.guid = jQuery.guid++ );
+	}
+	return elem.each( function() {
+		jQuery.event.add( this, types, fn, data, selector );
+	} );
+}
+
+/*
+ * Helper functions for managing events -- not part of the public interface.
+ * Props to Dean Edwards' addEvent library for many of the ideas.
+ */
+jQuery.event = {
+
+	global: {},
+
+	add: function( elem, types, handler, data, selector ) {
+
+		var handleObjIn, eventHandle, tmp,
+			events, t, handleObj,
+			special, handlers, type, namespaces, origType,
+			elemData = dataPriv.get( elem );
+
+		// Only attach events to objects that accept data
+		if ( !acceptData( elem ) ) {
+			return;
+		}
+
+		// Caller can pass in an object of custom data in lieu of the handler
+		if ( handler.handler ) {
+			handleObjIn = handler;
+			handler = handleObjIn.handler;
+			selector = handleObjIn.selector;
+		}
+
+		// Ensure that invalid selectors throw exceptions at attach time
+		// Evaluate against documentElement in case elem is a non-element node (e.g., document)
+		if ( selector ) {
+			jQuery.find.matchesSelector( documentElement, selector );
+		}
+
+		// Make sure that the handler has a unique ID, used to find/remove it later
+		if ( !handler.guid ) {
+			handler.guid = jQuery.guid++;
+		}
+
+		// Init the element's event structure and main handler, if this is the first
+		if ( !( events = elemData.events ) ) {
+			events = elemData.events = Object.create( null );
+		}
+		if ( !( eventHandle = elemData.handle ) ) {
+			eventHandle = elemData.handle = function( e ) {
+
+				// Discard the second event of a jQuery.event.trigger() and
+				// when an event is called after a page has unloaded
+				return typeof jQuery !== "undefined" && jQuery.event.triggered !== e.type ?
+					jQuery.event.dispatch.apply( elem, arguments ) : undefined;
+			};
+		}
+
+		// Handle multiple events separated by a space
+		types = ( types || "" ).match( rnothtmlwhite ) || [ "" ];
+		t = types.length;
+		while ( t-- ) {
+			tmp = rtypenamespace.exec( types[ t ] ) || [];
+			type = origType = tmp[ 1 ];
+			namespaces = ( tmp[ 2 ] || "" ).split( "." ).sort();
+
+			// There *must* be a type, no attaching namespace-only handlers
+			if ( !type ) {
+				continue;
+			}
+
+			// If event changes its type, use the special event handlers for the changed type
+			special = jQuery.event.special[ type ] || {};
+
+			// If selector defined, determine special event api type, otherwise given type
+			type = ( selector ? special.delegateType : special.bindType ) || type;
+
+			// Update special based on newly reset type
+			special = jQuery.event.special[ type ] || {};
+
+			// handleObj is passed to all event handlers
+			handleObj = jQuery.extend( {
+				type: type,
+				origType: origType,
+				data: data,
+				handler: handler,
+				guid: handler.guid,
+				selector: selector,
+				needsContext: selector && jQuery.expr.match.needsContext.test( selector ),
+				namespace: namespaces.join( "." )
+			}, handleObjIn );
+
+			// Init the event handler queue if we're the first
+			if ( !( handlers = events[ type ] ) ) {
+				handlers = events[ type ] = [];
+				handlers.delegateCount = 0;
+
+				// Only use addEventListener if the special events handler returns false
+				if ( !special.setup ||
+					special.setup.call( elem, data, namespaces, eventHandle ) === false ) {
+
+					if ( elem.addEventListener ) {
+						elem.addEventListener( type, eventHandle );
+					}
+				}
+			}
+
+			if ( special.add ) {
+				special.add.call( elem, handleObj );
+
+				if ( !handleObj.handler.guid ) {
+					handleObj.handler.guid = handler.guid;
+				}
+			}
+
+			// Add to the element's handler list, delegates in front
+			if ( selector ) {
+				handlers.splice( handlers.delegateCount++, 0, handleObj );
+			} else {
+				handlers.push( handleObj );
+			}
+
+			// Keep track of which events have ever been used, for event optimization
+			jQuery.event.global[ type ] = true;
+		}
+
+	},
+
+	// Detach an event or set of events from an element
+	remove: function( elem, types, handler, selector, mappedTypes ) {
+
+		var j, origCount, tmp,
+			events, t, handleObj,
+			special, handlers, type, namespaces, origType,
+			elemData = dataPriv.hasData( elem ) && dataPriv.get( elem );
+
+		if ( !elemData || !( events = elemData.events ) ) {
+			return;
+		}
+
+		// Once for each type.namespace in types; type may be omitted
+		types = ( types || "" ).match( rnothtmlwhite ) || [ "" ];
+		t = types.length;
+		while ( t-- ) {
+			tmp = rtypenamespace.exec( types[ t ] ) || [];
+			type = origType = tmp[ 1 ];
+			namespaces = ( tmp[ 2 ] || "" ).split( "." ).sort();
+
+			// Unbind all events (on this namespace, if provided) for the element
+			if ( !type ) {
+				for ( type in events ) {
+					jQuery.event.remove( elem, type + types[ t ], handler, selector, true );
+				}
+				continue;
+			}
+
+			special = jQuery.event.special[ type ] || {};
+			type = ( selector ? special.delegateType : special.bindType ) || type;
+			handlers = events[ type ] || [];
+			tmp = tmp[ 2 ] &&
+				new RegExp( "(^|\\.)" + namespaces.join( "\\.(?:.*\\.|)" ) + "(\\.|$)" );
+
+			// Remove matching events
+			origCount = j = handlers.length;
+			while ( j-- ) {
+				handleObj = handlers[ j ];
+
+				if ( ( mappedTypes || origType === handleObj.origType ) &&
+					( !handler || handler.guid === handleObj.guid ) &&
+					( !tmp || tmp.test( handleObj.namespace ) ) &&
+					( !selector || selector === handleObj.selector ||
+						selector === "**" && handleObj.selector ) ) {
+					handlers.splice( j, 1 );
+
+					if ( handleObj.selector ) {
+						handlers.delegateCount--;
+					}
+					if ( special.remove ) {
+						special.remove.call( elem, handleObj );
+					}
+				}
+			}
+
+			// Remove generic event handler if we removed something and no more handlers exist
+			// (avoids potential for endless recursion during removal of special event handlers)
+			if ( origCount && !handlers.length ) {
+				if ( !special.teardown ||
+					special.teardown.call( elem, namespaces, elemData.handle ) === false ) {
+
+					jQuery.removeEvent( elem, type, elemData.handle );
+				}
+
+				delete events[ type ];
+			}
+		}
+
+		// Remove data and the expando if it's no longer used
+		if ( jQuery.isEmptyObject( events ) ) {
+			dataPriv.remove( elem, "handle events" );
+		}
+	},
+
+	dispatch: function( nativeEvent ) {
+
+		var i, j, ret, matched, handleObj, handlerQueue,
+			args = new Array( arguments.length ),
+
+			// Make a writable jQuery.Event from the native event object
+			event = jQuery.event.fix( nativeEvent ),
+
+			handlers = (
+				dataPriv.get( this, "events" ) || Object.create( null )
+			)[ event.type ] || [],
+			special = jQuery.event.special[ event.type ] || {};
+
+		// Use the fix-ed jQuery.Event rather than the (read-only) native event
+		args[ 0 ] = event;
+
+		for ( i = 1; i < arguments.length; i++ ) {
+			args[ i ] = arguments[ i ];
+		}
+
+		event.delegateTarget = this;
+
+		// Call the preDispatch hook for the mapped type, and let it bail if desired
+		if ( special.preDispatch && special.preDispatch.call( this, event ) === false ) {
+			return;
+		}
+
+		// Determine handlers
+		handlerQueue = jQuery.event.handlers.call( this, event, handlers );
+
+		// Run delegates first; they may want to stop propagation beneath us
+		i = 0;
+		while ( ( matched = handlerQueue[ i++ ] ) && !event.isPropagationStopped() ) {
+			event.currentTarget = matched.elem;
+
+			j = 0;
+			while ( ( handleObj = matched.handlers[ j++ ] ) &&
+				!event.isImmediatePropagationStopped() ) {
+
+				// If the event is namespaced, then each handler is only invoked if it is
+				// specially universal or its namespaces are a superset of the event's.
+				if ( !event.rnamespace || handleObj.namespace === false ||
+					event.rnamespace.test( handleObj.namespace ) ) {
+
+					event.handleObj = handleObj;
+					event.data = handleObj.data;
+
+					ret = ( ( jQuery.event.special[ handleObj.origType ] || {} ).handle ||
+						handleObj.handler ).apply( matched.elem, args );
+
+					if ( ret !== undefined ) {
+						if ( ( event.result = ret ) === false ) {
+							event.preventDefault();
+							event.stopPropagation();
+						}
+					}
+				}
+			}
+		}
+
+		// Call the postDispatch hook for the mapped type
+		if ( special.postDispatch ) {
+			special.postDispatch.call( this, event );
+		}
+
+		return event.result;
+	},
+
+	handlers: function( event, handlers ) {
+		var i, handleObj, sel, matchedHandlers, matchedSelectors,
+			handlerQueue = [],
+			delegateCount = handlers.delegateCount,
+			cur = event.target;
+
+		// Find delegate handlers
+		if ( delegateCount &&
+
+			// Support: IE <=9
+			// Black-hole SVG <use> instance trees (trac-13180)
+			cur.nodeType &&
+
+			// Support: Firefox <=42
+			// Suppress spec-violating clicks indicating a non-primary pointer button (trac-3861)
+			// https://www.w3.org/TR/DOM-Level-3-Events/#event-type-click
+			// Support: IE 11 only
+			// ...but not arrow key "clicks" of radio inputs, which can have `button` -1 (gh-2343)
+			!( event.type === "click" && event.button >= 1 ) ) {
+
+			for ( ; cur !== this; cur = cur.parentNode || this ) {
+
+				// Don't check non-elements (#13208)
+				// Don't process clicks on disabled elements (#6911, #8165, #11382, #11764)
+				if ( cur.nodeType === 1 && !( event.type === "click" && cur.disabled === true ) ) {
+					matchedHandlers = [];
+					matchedSelectors = {};
+					for ( i = 0; i < delegateCount; i++ ) {
+						handleObj = handlers[ i ];
+
+						// Don't conflict with Object.prototype properties (#13203)
+						sel = handleObj.selector + " ";
+
+						if ( matchedSelectors[ sel ] === undefined ) {
+							matchedSelectors[ sel ] = handleObj.needsContext ?
+								jQuery( sel, this ).index( cur ) > -1 :
+								jQuery.find( sel, this, null, [ cur ] ).length;
+						}
+						if ( matchedSelectors[ sel ] ) {
+							matchedHandlers.push( handleObj );
+						}
+					}
+					if ( matchedHandlers.length ) {
+						handlerQueue.push( { elem: cur, handlers: matchedHandlers } );
+					}
+				}
+			}
+		}
+
+		// Add the remaining (directly-bound) handlers
+		cur = this;
+		if ( delegateCount < handlers.length ) {
+			handlerQueue.push( { elem: cur, handlers: handlers.slice( delegateCount ) } );
+		}
+
+		return handlerQueue;
+	},
+
+	addProp: function( name, hook ) {
+		Object.defineProperty( jQuery.Event.prototype, name, {
+			enumerable: true,
+			configurable: true,
+
+			get: isFunction( hook ) ?
+				function() {
+					if ( this.originalEvent ) {
+						return hook( this.originalEvent );
+					}
+				} :
+				function() {
+					if ( this.originalEvent ) {
+						return this.originalEvent[ name ];
+					}
+				},
+
+			set: function( value ) {
+				Object.defineProperty( this, name, {
+					enumerable: true,
+					configurable: true,
+					writable: true,
+					value: value
+				} );
+			}
+		} );
+	},
+
+	fix: function( originalEvent ) {
+		return originalEvent[ jQuery.expando ] ?
+			originalEvent :
+			new jQuery.Event( originalEvent );
+	},
+
+	special: {
+		load: {
+
+			// Prevent triggered image.load events from bubbling to window.load
+			noBubble: true
+		},
+		click: {
+
+			// Utilize native event to ensure correct state for checkable inputs
+			setup: function( data ) {
+
+				// For mutual compressibility with _default, replace `this` access with a local var.
+				// `|| data` is dead code meant only to preserve the variable through minification.
+				var el = this || data;
+
+				// Claim the first handler
+				if ( rcheckableType.test( el.type ) &&
+					el.click && nodeName( el, "input" ) ) {
+
+					// dataPriv.set( el, "click", ... )
+					leverageNative( el, "click", returnTrue );
+				}
+
+				// Return false to allow normal processing in the caller
+				return false;
+			},
+			trigger: function( data ) {
+
+				// For mutual compressibility with _default, replace `this` access with a local var.
+				// `|| data` is dead code meant only to preserve the variable through minification.
+				var el = this || data;
+
+				// Force setup before triggering a click
+				if ( rcheckableType.test( el.type ) &&
+					el.click && nodeName( el, "input" ) ) {
+
+					leverageNative( el, "click" );
+				}
+
+				// Return non-false to allow normal event-path propagation
+				return true;
+			},
+
+			// For cross-browser consistency, suppress native .click() on links
+			// Also prevent it if we're currently inside a leveraged native-event stack
+			_default: function( event ) {
+				var target = event.target;
+				return rcheckableType.test( target.type ) &&
+					target.click && nodeName( target, "input" ) &&
+					dataPriv.get( target, "click" ) ||
+					nodeName( target, "a" );
+			}
+		},
+
+		beforeunload: {
+			postDispatch: function( event ) {
+
+				// Support: Firefox 20+
+				// Firefox doesn't alert if the returnValue field is not set.
+				if ( event.result !== undefined && event.originalEvent ) {
+					event.originalEvent.returnValue = event.result;
+				}
+			}
+		}
+	}
+};
+
+// Ensure the presence of an event listener that handles manually-triggered
+// synthetic events by interrupting progress until reinvoked in response to
+// *native* events that it fires directly, ensuring that state changes have
+// already occurred before other listeners are invoked.
+function leverageNative( el, type, expectSync ) {
+
+	// Missing expectSync indicates a trigger call, which must force setup through jQuery.event.add
+	if ( !expectSync ) {
+		if ( dataPriv.get( el, type ) === undefined ) {
+			jQuery.event.add( el, type, returnTrue );
+		}
+		return;
+	}
+
+	// Register the controller as a special universal handler for all event namespaces
+	dataPriv.set( el, type, false );
+	jQuery.event.add( el, type, {
+		namespace: false,
+		handler: function( event ) {
+			var notAsync, result,
+				saved = dataPriv.get( this, type );
+
+			if ( ( event.isTrigger & 1 ) && this[ type ] ) {
+
+				// Interrupt processing of the outer synthetic .trigger()ed event
+				// Saved data should be false in such cases, but might be a leftover capture object
+				// from an async native handler (gh-4350)
+				if ( !saved.length ) {
+
+					// Store arguments for use when handling the inner native event
+					// There will always be at least one argument (an event object), so this array
+					// will not be confused with a leftover capture object.
+					saved = slice.call( arguments );
+					dataPriv.set( this, type, saved );
+
+					// Trigger the native event and capture its result
+					// Support: IE <=9 - 11+
+					// focus() and blur() are asynchronous
+					notAsync = expectSync( this, type );
+					this[ type ]();
+					result = dataPriv.get( this, type );
+					if ( saved !== result || notAsync ) {
+						dataPriv.set( this, type, false );
+					} else {
+						result = {};
+					}
+					if ( saved !== result ) {
+
+						// Cancel the outer synthetic event
+						event.stopImmediatePropagation();
+						event.preventDefault();
+
+						// Support: Chrome 86+
+						// In Chrome, if an element having a focusout handler is blurred by
+						// clicking outside of it, it invokes the handler synchronously. If
+						// that handler calls `.remove()` on the element, the data is cleared,
+						// leaving `result` undefined. We need to guard against this.
+						return result && result.value;
+					}
+
+				// If this is an inner synthetic event for an event with a bubbling surrogate
+				// (focus or blur), assume that the surrogate already propagated from triggering the
+				// native event and prevent that from happening again here.
+				// This technically gets the ordering wrong w.r.t. to `.trigger()` (in which the
+				// bubbling surrogate propagates *after* the non-bubbling base), but that seems
+				// less bad than duplication.
+				} else if ( ( jQuery.event.special[ type ] || {} ).delegateType ) {
+					event.stopPropagation();
+				}
+
+			// If this is a native event triggered above, everything is now in order
+			// Fire an inner synthetic event with the original arguments
+			} else if ( saved.length ) {
+
+				// ...and capture the result
+				dataPriv.set( this, type, {
+					value: jQuery.event.trigger(
+
+						// Support: IE <=9 - 11+
+						// Extend with the prototype to reset the above stopImmediatePropagation()
+						jQuery.extend( saved[ 0 ], jQuery.Event.prototype ),
+						saved.slice( 1 ),
+						this
+					)
+				} );
+
+				// Abort handling of the native event
+				event.stopImmediatePropagation();
+			}
+		}
+	} );
+}
+
+jQuery.removeEvent = function( elem, type, handle ) {
+
+	// This "if" is needed for plain objects
+	if ( elem.removeEventListener ) {
+		elem.removeEventListener( type, handle );
+	}
+};
+
+jQuery.Event = function( src, props ) {
+
+	// Allow instantiation without the 'new' keyword
+	if ( !( this instanceof jQuery.Event ) ) {
+		return new jQuery.Event( src, props );
+	}
+
+	// Event object
+	if ( src && src.type ) {
+		this.originalEvent = src;
+		this.type = src.type;
+
+		// Events bubbling up the document may have been marked as prevented
+		// by a handler lower down the tree; reflect the correct value.
+		this.isDefaultPrevented = src.defaultPrevented ||
+				src.defaultPrevented === undefined &&
+
+				// Support: Android <=2.3 only
+				src.returnValue === false ?
+			returnTrue :
+			returnFalse;
+
+		// Create target properties
+		// Support: Safari <=6 - 7 only
+		// Target should not be a text node (#504, #13143)
+		this.target = ( src.target && src.target.nodeType === 3 ) ?
+			src.target.parentNode :
+			src.target;
+
+		this.currentTarget = src.currentTarget;
+		this.relatedTarget = src.relatedTarget;
+
+	// Event type
+	} else {
+		this.type = src;
+	}
+
+	// Put explicitly provided properties onto the event object
+	if ( props ) {
+		jQuery.extend( this, props );
+	}
+
+	// Create a timestamp if incoming event doesn't have one
+	this.timeStamp = src && src.timeStamp || Date.now();
+
+	// Mark it as fixed
+	this[ jQuery.expando ] = true;
+};
+
+// jQuery.Event is based on DOM3 Events as specified by the ECMAScript Language Binding
+// https://www.w3.org/TR/2003/WD-DOM-Level-3-Events-20030331/ecma-script-binding.html
+jQuery.Event.prototype = {
+	constructor: jQuery.Event,
+	isDefaultPrevented: returnFalse,
+	isPropagationStopped: returnFalse,
+	isImmediatePropagationStopped: returnFalse,
+	isSimulated: false,
+
+	preventDefault: function() {
+		var e = this.originalEvent;
+
+		this.isDefaultPrevented = returnTrue;
+
+		if ( e && !this.isSimulated ) {
+			e.preventDefault();
+		}
+	},
+	stopPropagation: function() {
+		var e = this.originalEvent;
+
+		this.isPropagationStopped = returnTrue;
+
+		if ( e && !this.isSimulated ) {
+			e.stopPropagation();
+		}
+	},
+	stopImmediatePropagation: function() {
+		var e = this.originalEvent;
+
+		this.isImmediatePropagationStopped = returnTrue;
+
+		if ( e && !this.isSimulated ) {
+			e.stopImmediatePropagation();
+		}
+
+		this.stopPropagation();
+	}
+};
+
+// Includes all common event props including KeyEvent and MouseEvent specific props
+jQuery.each( {
+	altKey: true,
+	bubbles: true,
+	cancelable: true,
+	changedTouches: true,
+	ctrlKey: true,
+	detail: true,
+	eventPhase: true,
+	metaKey: true,
+	pageX: true,
+	pageY: true,
+	shiftKey: true,
+	view: true,
+	"char": true,
+	code: true,
+	charCode: true,
+	key: true,
+	keyCode: true,
+	button: true,
+	buttons: true,
+	clientX: true,
+	clientY: true,
+	offsetX: true,
+	offsetY: true,
+	pointerId: true,
+	pointerType: true,
+	screenX: true,
+	screenY: true,
+	targetTouches: true,
+	toElement: true,
+	touches: true,
+	which: true
+}, jQuery.event.addProp );
+
+jQuery.each( { focus: "focusin", blur: "focusout" }, function( type, delegateType ) {
+	jQuery.event.special[ type ] = {
+
+		// Utilize native event if possible so blur/focus sequence is correct
+		setup: function() {
+
+			// Claim the first handler
+			// dataPriv.set( this, "focus", ... )
+			// dataPriv.set( this, "blur", ... )
+			leverageNative( this, type, expectSync );
+
+			// Return false to allow normal processing in the caller
+			return false;
+		},
+		trigger: function() {
+
+			// Force setup before trigger
+			leverageNative( this, type );
+
+			// Return non-false to allow normal event-path propagation
+			return true;
+		},
+
+		// Suppress native focus or blur as it's already being fired
+		// in leverageNative.
+		_default: function() {
+			return true;
+		},
+
+		delegateType: delegateType
+	};
+} );
+
+// Create mouseenter/leave events using mouseover/out and event-time checks
+// so that event delegation works in jQuery.
+// Do the same for pointerenter/pointerleave and pointerover/pointerout
+//
+// Support: Safari 7 only
+// Safari sends mouseenter too often; see:
+// https://bugs.chromium.org/p/chromium/issues/detail?id=470258
+// for the description of the bug (it existed in older Chrome versions as well).
+jQuery.each( {
+	mouseenter: "mouseover",
+	mouseleave: "mouseout",
+	pointerenter: "pointerover",
+	pointerleave: "pointerout"
+}, function( orig, fix ) {
+	jQuery.event.special[ orig ] = {
+		delegateType: fix,
+		bindType: fix,
+
+		handle: function( event ) {
+			var ret,
+				target = this,
+				related = event.relatedTarget,
+				handleObj = event.handleObj;
+
+			// For mouseenter/leave call the handler if related is outside the target.
+			// NB: No relatedTarget if the mouse left/entered the browser window
+			if ( !related || ( related !== target && !jQuery.contains( target, related ) ) ) {
+				event.type = handleObj.origType;
+				ret = handleObj.handler.apply( this, arguments );
+				event.type = fix;
+			}
+			return ret;
+		}
+	};
+} );
+
+jQuery.fn.extend( {
+
+	on: function( types, selector, data, fn ) {
+		return on( this, types, selector, data, fn );
+	},
+	one: function( types, selector, data, fn ) {
+		return on( this, types, selector, data, fn, 1 );
+	},
+	off: function( types, selector, fn ) {
+		var handleObj, type;
+		if ( types && types.preventDefault && types.handleObj ) {
+
+			// ( event )  dispatched jQuery.Event
+			handleObj = types.handleObj;
+			jQuery( types.delegateTarget ).off(
+				handleObj.namespace ?
+					handleObj.origType + "." + handleObj.namespace :
+					handleObj.origType,
+				handleObj.selector,
+				handleObj.handler
+			);
+			return this;
+		}
+		if ( typeof types === "object" ) {
+
+			// ( types-object [, selector] )
+			for ( type in types ) {
+				this.off( type, selector, types[ type ] );
+			}
+			return this;
+		}
+		if ( selector === false || typeof selector === "function" ) {
+
+			// ( types [, fn] )
+			fn = selector;
+			selector = undefined;
+		}
+		if ( fn === false ) {
+			fn = returnFalse;
+		}
+		return this.each( function() {
+			jQuery.event.remove( this, types, fn, selector );
+		} );
+	}
+} );
+
+
+var
+
+	// Support: IE <=10 - 11, Edge 12 - 13 only
+	// In IE/Edge using regex groups here causes severe slowdowns.
+	// See https://connect.microsoft.com/IE/feedback/details/1736512/
+	rnoInnerhtml = /<script|<style|<link/i,
+
+	// checked="checked" or checked
+	rchecked = /checked\s*(?:[^=]|=\s*.checked.)/i,
+	rcleanScript = /^\s*<!(?:\[CDATA\[|--)|(?:\]\]|--)>\s*$/g;
+
+// Prefer a tbody over its parent table for containing new rows
+function manipulationTarget( elem, content ) {
+	if ( nodeName( elem, "table" ) &&
+		nodeName( content.nodeType !== 11 ? content : content.firstChild, "tr" ) ) {
+
+		return jQuery( elem ).children( "tbody" )[ 0 ] || elem;
+	}
+
+	return elem;
+}
+
+// Replace/restore the type attribute of script elements for safe DOM manipulation
+function disableScript( elem ) {
+	elem.type = ( elem.getAttribute( "type" ) !== null ) + "/" + elem.type;
+	return elem;
+}
+function restoreScript( elem ) {
+	if ( ( elem.type || "" ).slice( 0, 5 ) === "true/" ) {
+		elem.type = elem.type.slice( 5 );
+	} else {
+		elem.removeAttribute( "type" );
+	}
+
+	return elem;
+}
+
+function cloneCopyEvent( src, dest ) {
+	var i, l, type, pdataOld, udataOld, udataCur, events;
+
+	if ( dest.nodeType !== 1 ) {
+		return;
+	}
+
+	// 1. Copy private data: events, handlers, etc.
+	if ( dataPriv.hasData( src ) ) {
+		pdataOld = dataPriv.get( src );
+		events = pdataOld.events;
+
+		if ( events ) {
+			dataPriv.remove( dest, "handle events" );
+
+			for ( type in events ) {
+				for ( i = 0, l = events[ type ].length; i < l; i++ ) {
+					jQuery.event.add( dest, type, events[ type ][ i ] );
+				}
+			}
+		}
+	}
+
+	// 2. Copy user data
+	if ( dataUser.hasData( src ) ) {
+		udataOld = dataUser.access( src );
+		udataCur = jQuery.extend( {}, udataOld );
+
+		dataUser.set( dest, udataCur );
+	}
+}
+
+// Fix IE bugs, see support tests
+function fixInput( src, dest ) {
+	var nodeName = dest.nodeName.toLowerCase();
+
+	// Fails to persist the checked state of a cloned checkbox or radio button.
+	if ( nodeName === "input" && rcheckableType.test( src.type ) ) {
+		dest.checked = src.checked;
+
+	// Fails to return the selected option to the default selected state when cloning options
+	} else if ( nodeName === "input" || nodeName === "textarea" ) {
+		dest.defaultValue = src.defaultValue;
+	}
+}
+
+function domManip( collection, args, callback, ignored ) {
+
+	// Flatten any nested arrays
+	args = flat( args );
+
+	var fragment, first, scripts, hasScripts, node, doc,
+		i = 0,
+		l = collection.length,
+		iNoClone = l - 1,
+		value = args[ 0 ],
+		valueIsFunction = isFunction( value );
+
+	// We can't cloneNode fragments that contain checked, in WebKit
+	if ( valueIsFunction ||
+			( l > 1 && typeof value === "string" &&
+				!support.checkClone && rchecked.test( value ) ) ) {
+		return collection.each( function( index ) {
+			var self = collection.eq( index );
+			if ( valueIsFunction ) {
+				args[ 0 ] = value.call( this, index, self.html() );
+			}
+			domManip( self, args, callback, ignored );
+		} );
+	}
+
+	if ( l ) {
+		fragment = buildFragment( args, collection[ 0 ].ownerDocument, false, collection, ignored );
+		first = fragment.firstChild;
+
+		if ( fragment.childNodes.length === 1 ) {
+			fragment = first;
+		}
+
+		// Require either new content or an interest in ignored elements to invoke the callback
+		if ( first || ignored ) {
+			scripts = jQuery.map( getAll( fragment, "script" ), disableScript );
+			hasScripts = scripts.length;
+
+			// Use the original fragment for the last item
+			// instead of the first because it can end up
+			// being emptied incorrectly in certain situations (#8070).
+			for ( ; i < l; i++ ) {
+				node = fragment;
+
+				if ( i !== iNoClone ) {
+					node = jQuery.clone( node, true, true );
+
+					// Keep references to cloned scripts for later restoration
+					if ( hasScripts ) {
+
+						// Support: Android <=4.0 only, PhantomJS 1 only
+						// push.apply(_, arraylike) throws on ancient WebKit
+						jQuery.merge( scripts, getAll( node, "script" ) );
+					}
+				}
+
+				callback.call( collection[ i ], node, i );
+			}
+
+			if ( hasScripts ) {
+				doc = scripts[ scripts.length - 1 ].ownerDocument;
+
+				// Reenable scripts
+				jQuery.map( scripts, restoreScript );
+
+				// Evaluate executable scripts on first document insertion
+				for ( i = 0; i < hasScripts; i++ ) {
+					node = scripts[ i ];
+					if ( rscriptType.test( node.type || "" ) &&
+						!dataPriv.access( node, "globalEval" ) &&
+						jQuery.contains( doc, node ) ) {
+
+						if ( node.src && ( node.type || "" ).toLowerCase()  !== "module" ) {
+
+							// Optional AJAX dependency, but won't run scripts if not present
+							if ( jQuery._evalUrl && !node.noModule ) {
+								jQuery._evalUrl( node.src, {
+									nonce: node.nonce || node.getAttribute( "nonce" )
+								}, doc );
+							}
+						} else {
+							DOMEval( node.textContent.replace( rcleanScript, "" ), node, doc );
+						}
+					}
+				}
+			}
+		}
+	}
+
+	return collection;
+}
+
+function remove( elem, selector, keepData ) {
+	var node,
+		nodes = selector ? jQuery.filter( selector, elem ) : elem,
+		i = 0;
+
+	for ( ; ( node = nodes[ i ] ) != null; i++ ) {
+		if ( !keepData && node.nodeType === 1 ) {
+			jQuery.cleanData( getAll( node ) );
+		}
+
+		if ( node.parentNode ) {
+			if ( keepData && isAttached( node ) ) {
+				setGlobalEval( getAll( node, "script" ) );
+			}
+			node.parentNode.removeChild( node );
+		}
+	}
+
+	return elem;
+}
+
+jQuery.extend( {
+	htmlPrefilter: function( html ) {
+		return html;
+	},
+
+	clone: function( elem, dataAndEvents, deepDataAndEvents ) {
+		var i, l, srcElements, destElements,
+			clone = elem.cloneNode( true ),
+			inPage = isAttached( elem );
+
+		// Fix IE cloning issues
+		if ( !support.noCloneChecked && ( elem.nodeType === 1 || elem.nodeType === 11 ) &&
+				!jQuery.isXMLDoc( elem ) ) {
+
+			// We eschew Sizzle here for performance reasons: https://jsperf.com/getall-vs-sizzle/2
+			destElements = getAll( clone );
+			srcElements = getAll( elem );
+
+			for ( i = 0, l = srcElements.length; i < l; i++ ) {
+				fixInput( srcElements[ i ], destElements[ i ] );
+			}
+		}
+
+		// Copy the events from the original to the clone
+		if ( dataAndEvents ) {
+			if ( deepDataAndEvents ) {
+				srcElements = srcElements || getAll( elem );
+				destElements = destElements || getAll( clone );
+
+				for ( i = 0, l = srcElements.length; i < l; i++ ) {
+					cloneCopyEvent( srcElements[ i ], destElements[ i ] );
+				}
+			} else {
+				cloneCopyEvent( elem, clone );
+			}
+		}
+
+		// Preserve script evaluation history
+		destElements = getAll( clone, "script" );
+		if ( destElements.length > 0 ) {
+			setGlobalEval( destElements, !inPage && getAll( elem, "script" ) );
+		}
+
+		// Return the cloned set
+		return clone;
+	},
+
+	cleanData: function( elems ) {
+		var data, elem, type,
+			special = jQuery.event.special,
+			i = 0;
+
+		for ( ; ( elem = elems[ i ] ) !== undefined; i++ ) {
+			if ( acceptData( elem ) ) {
+				if ( ( data = elem[ dataPriv.expando ] ) ) {
+					if ( data.events ) {
+						for ( type in data.events ) {
+							if ( special[ type ] ) {
+								jQuery.event.remove( elem, type );
+
+							// This is a shortcut to avoid jQuery.event.remove's overhead
+							} else {
+								jQuery.removeEvent( elem, type, data.handle );
+							}
+						}
+					}
+
+					// Support: Chrome <=35 - 45+
+					// Assign undefined instead of using delete, see Data#remove
+					elem[ dataPriv.expando ] = undefined;
+				}
+				if ( elem[ dataUser.expando ] ) {
+
+					// Support: Chrome <=35 - 45+
+					// Assign undefined instead of using delete, see Data#remove
+					elem[ dataUser.expando ] = undefined;
+				}
+			}
+		}
+	}
+} );
+
+jQuery.fn.extend( {
+	detach: function( selector ) {
+		return remove( this, selector, true );
+	},
+
+	remove: function( selector ) {
+		return remove( this, selector );
+	},
+
+	text: function( value ) {
+		return access( this, function( value ) {
+			return value === undefined ?
+				jQuery.text( this ) :
+				this.empty().each( function() {
+					if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) {
+						this.textContent = value;
+					}
+				} );
+		}, null, value, arguments.length );
+	},
+
+	append: function() {
+		return domManip( this, arguments, function( elem ) {
+			if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) {
+				var target = manipulationTarget( this, elem );
+				target.appendChild( elem );
+			}
+		} );
+	},
+
+	prepend: function() {
+		return domManip( this, arguments, function( elem ) {
+			if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) {
+				var target = manipulationTarget( this, elem );
+				target.insertBefore( elem, target.firstChild );
+			}
+		} );
+	},
+
+	before: function() {
+		return domManip( this, arguments, function( elem ) {
+			if ( this.parentNode ) {
+				this.parentNode.insertBefore( elem, this );
+			}
+		} );
+	},
+
+	after: function() {
+		return domManip( this, arguments, function( elem ) {
+			if ( this.parentNode ) {
+				this.parentNode.insertBefore( elem, this.nextSibling );
+			}
+		} );
+	},
+
+	empty: function() {
+		var elem,
+			i = 0;
+
+		for ( ; ( elem = this[ i ] ) != null; i++ ) {
+			if ( elem.nodeType === 1 ) {
+
+				// Prevent memory leaks
+				jQuery.cleanData( getAll( elem, false ) );
+
+				// Remove any remaining nodes
+				elem.textContent = "";
+			}
+		}
+
+		return this;
+	},
+
+	clone: function( dataAndEvents, deepDataAndEvents ) {
+		dataAndEvents = dataAndEvents == null ? false : dataAndEvents;
+		deepDataAndEvents = deepDataAndEvents == null ? dataAndEvents : deepDataAndEvents;
+
+		return this.map( function() {
+			return jQuery.clone( this, dataAndEvents, deepDataAndEvents );
+		} );
+	},
+
+	html: function( value ) {
+		return access( this, function( value ) {
+			var elem = this[ 0 ] || {},
+				i = 0,
+				l = this.length;
+
+			if ( value === undefined && elem.nodeType === 1 ) {
+				return elem.innerHTML;
+			}
+
+			// See if we can take a shortcut and just use innerHTML
+			if ( typeof value === "string" && !rnoInnerhtml.test( value ) &&
+				!wrapMap[ ( rtagName.exec( value ) || [ "", "" ] )[ 1 ].toLowerCase() ] ) {
+
+				value = jQuery.htmlPrefilter( value );
+
+				try {
+					for ( ; i < l; i++ ) {
+						elem = this[ i ] || {};
+
+						// Remove element nodes and prevent memory leaks
+						if ( elem.nodeType === 1 ) {
+							jQuery.cleanData( getAll( elem, false ) );
+							elem.innerHTML = value;
+						}
+					}
+
+					elem = 0;
+
+				// If using innerHTML throws an exception, use the fallback method
+				} catch ( e ) {}
+			}
+
+			if ( elem ) {
+				this.empty().append( value );
+			}
+		}, null, value, arguments.length );
+	},
+
+	replaceWith: function() {
+		var ignored = [];
+
+		// Make the changes, replacing each non-ignored context element with the new content
+		return domManip( this, arguments, function( elem ) {
+			var parent = this.parentNode;
+
+			if ( jQuery.inArray( this, ignored ) < 0 ) {
+				jQuery.cleanData( getAll( this ) );
+				if ( parent ) {
+					parent.replaceChild( elem, this );
+				}
+			}
+
+		// Force callback invocation
+		}, ignored );
+	}
+} );
+
+jQuery.each( {
+	appendTo: "append",
+	prependTo: "prepend",
+	insertBefore: "before",
+	insertAfter: "after",
+	replaceAll: "replaceWith"
+}, function( name, original ) {
+	jQuery.fn[ name ] = function( selector ) {
+		var elems,
+			ret = [],
+			insert = jQuery( selector ),
+			last = insert.length - 1,
+			i = 0;
+
+		for ( ; i <= last; i++ ) {
+			elems = i === last ? this : this.clone( true );
+			jQuery( insert[ i ] )[ original ]( elems );
+
+			// Support: Android <=4.0 only, PhantomJS 1 only
+			// .get() because push.apply(_, arraylike) throws on ancient WebKit
+			push.apply( ret, elems.get() );
+		}
+
+		return this.pushStack( ret );
+	};
+} );
+var rnumnonpx = new RegExp( "^(" + pnum + ")(?!px)[a-z%]+$", "i" );
+
+var getStyles = function( elem ) {
+
+		// Support: IE <=11 only, Firefox <=30 (#15098, #14150)
+		// IE throws on elements created in popups
+		// FF meanwhile throws on frame elements through "defaultView.getComputedStyle"
+		var view = elem.ownerDocument.defaultView;
+
+		if ( !view || !view.opener ) {
+			view = window;
+		}
+
+		return view.getComputedStyle( elem );
+	};
+
+var swap = function( elem, options, callback ) {
+	var ret, name,
+		old = {};
+
+	// Remember the old values, and insert the new ones
+	for ( name in options ) {
+		old[ name ] = elem.style[ name ];
+		elem.style[ name ] = options[ name ];
+	}
+
+	ret = callback.call( elem );
+
+	// Revert the old values
+	for ( name in options ) {
+		elem.style[ name ] = old[ name ];
+	}
+
+	return ret;
+};
+
+
+var rboxStyle = new RegExp( cssExpand.join( "|" ), "i" );
+
+
+
+( function() {
+
+	// Executing both pixelPosition & boxSizingReliable tests require only one layout
+	// so they're executed at the same time to save the second computation.
+	function computeStyleTests() {
+
+		// This is a singleton, we need to execute it only once
+		if ( !div ) {
+			return;
+		}
+
+		container.style.cssText = "position:absolute;left:-11111px;width:60px;" +
+			"margin-top:1px;padding:0;border:0";
+		div.style.cssText =
+			"position:relative;display:block;box-sizing:border-box;overflow:scroll;" +
+			"margin:auto;border:1px;padding:1px;" +
+			"width:60%;top:1%";
+		documentElement.appendChild( container ).appendChild( div );
+
+		var divStyle = window.getComputedStyle( div );
+		pixelPositionVal = divStyle.top !== "1%";
+
+		// Support: Android 4.0 - 4.3 only, Firefox <=3 - 44
+		reliableMarginLeftVal = roundPixelMeasures( divStyle.marginLeft ) === 12;
+
+		// Support: Android 4.0 - 4.3 only, Safari <=9.1 - 10.1, iOS <=7.0 - 9.3
+		// Some styles come back with percentage values, even though they shouldn't
+		div.style.right = "60%";
+		pixelBoxStylesVal = roundPixelMeasures( divStyle.right ) === 36;
+
+		// Support: IE 9 - 11 only
+		// Detect misreporting of content dimensions for box-sizing:border-box elements
+		boxSizingReliableVal = roundPixelMeasures( divStyle.width ) === 36;
+
+		// Support: IE 9 only
+		// Detect overflow:scroll screwiness (gh-3699)
+		// Support: Chrome <=64
+		// Don't get tricked when zoom affects offsetWidth (gh-4029)
+		div.style.position = "absolute";
+		scrollboxSizeVal = roundPixelMeasures( div.offsetWidth / 3 ) === 12;
+
+		documentElement.removeChild( container );
+
+		// Nullify the div so it wouldn't be stored in the memory and
+		// it will also be a sign that checks already performed
+		div = null;
+	}
+
+	function roundPixelMeasures( measure ) {
+		return Math.round( parseFloat( measure ) );
+	}
+
+	var pixelPositionVal, boxSizingReliableVal, scrollboxSizeVal, pixelBoxStylesVal,
+		reliableTrDimensionsVal, reliableMarginLeftVal,
+		container = document.createElement( "div" ),
+		div = document.createElement( "div" );
+
+	// Finish early in limited (non-browser) environments
+	if ( !div.style ) {
+		return;
+	}
+
+	// Support: IE <=9 - 11 only
+	// Style of cloned element affects source element cloned (#8908)
+	div.style.backgroundClip = "content-box";
+	div.cloneNode( true ).style.backgroundClip = "";
+	support.clearCloneStyle = div.style.backgroundClip === "content-box";
+
+	jQuery.extend( support, {
+		boxSizingReliable: function() {
+			computeStyleTests();
+			return boxSizingReliableVal;
+		},
+		pixelBoxStyles: function() {
+			computeStyleTests();
+			return pixelBoxStylesVal;
+		},
+		pixelPosition: function() {
+			computeStyleTests();
+			return pixelPositionVal;
+		},
+		reliableMarginLeft: function() {
+			computeStyleTests();
+			return reliableMarginLeftVal;
+		},
+		scrollboxSize: function() {
+			computeStyleTests();
+			return scrollboxSizeVal;
+		},
+
+		// Support: IE 9 - 11+, Edge 15 - 18+
+		// IE/Edge misreport `getComputedStyle` of table rows with width/height
+		// set in CSS while `offset*` properties report correct values.
+		// Behavior in IE 9 is more subtle than in newer versions & it passes
+		// some versions of this test; make sure not to make it pass there!
+		//
+		// Support: Firefox 70+
+		// Only Firefox includes border widths
+		// in computed dimensions. (gh-4529)
+		reliableTrDimensions: function() {
+			var table, tr, trChild, trStyle;
+			if ( reliableTrDimensionsVal == null ) {
+				table = document.createElement( "table" );
+				tr = document.createElement( "tr" );
+				trChild = document.createElement( "div" );
+
+				table.style.cssText = "position:absolute;left:-11111px;border-collapse:separate";
+				tr.style.cssText = "border:1px solid";
+
+				// Support: Chrome 86+
+				// Height set through cssText does not get applied.
+				// Computed height then comes back as 0.
+				tr.style.height = "1px";
+				trChild.style.height = "9px";
+
+				// Support: Android 8 Chrome 86+
+				// In our bodyBackground.html iframe,
+				// display for all div elements is set to "inline",
+				// which causes a problem only in Android 8 Chrome 86.
+				// Ensuring the div is display: block
+				// gets around this issue.
+				trChild.style.display = "block";
+
+				documentElement
+					.appendChild( table )
+					.appendChild( tr )
+					.appendChild( trChild );
+
+				trStyle = window.getComputedStyle( tr );
+				reliableTrDimensionsVal = ( parseInt( trStyle.height, 10 ) +
+					parseInt( trStyle.borderTopWidth, 10 ) +
+					parseInt( trStyle.borderBottomWidth, 10 ) ) === tr.offsetHeight;
+
+				documentElement.removeChild( table );
+			}
+			return reliableTrDimensionsVal;
+		}
+	} );
+} )();
+
+
+function curCSS( elem, name, computed ) {
+	var width, minWidth, maxWidth, ret,
+
+		// Support: Firefox 51+
+		// Retrieving style before computed somehow
+		// fixes an issue with getting wrong values
+		// on detached elements
+		style = elem.style;
+
+	computed = computed || getStyles( elem );
+
+	// getPropertyValue is needed for:
+	//   .css('filter') (IE 9 only, #12537)
+	//   .css('--customProperty) (#3144)
+	if ( computed ) {
+		ret = computed.getPropertyValue( name ) || computed[ name ];
+
+		if ( ret === "" && !isAttached( elem ) ) {
+			ret = jQuery.style( elem, name );
+		}
+
+		// A tribute to the "awesome hack by Dean Edwards"
+		// Android Browser returns percentage for some values,
+		// but width seems to be reliably pixels.
+		// This is against the CSSOM draft spec:
+		// https://drafts.csswg.org/cssom/#resolved-values
+		if ( !support.pixelBoxStyles() && rnumnonpx.test( ret ) && rboxStyle.test( name ) ) {
+
+			// Remember the original values
+			width = style.width;
+			minWidth = style.minWidth;
+			maxWidth = style.maxWidth;
+
+			// Put in the new values to get a computed value out
+			style.minWidth = style.maxWidth = style.width = ret;
+			ret = computed.width;
+
+			// Revert the changed values
+			style.width = width;
+			style.minWidth = minWidth;
+			style.maxWidth = maxWidth;
+		}
+	}
+
+	return ret !== undefined ?
+
+		// Support: IE <=9 - 11 only
+		// IE returns zIndex value as an integer.
+		ret + "" :
+		ret;
+}
+
+
+function addGetHookIf( conditionFn, hookFn ) {
+
+	// Define the hook, we'll check on the first run if it's really needed.
+	return {
+		get: function() {
+			if ( conditionFn() ) {
+
+				// Hook not needed (or it's not possible to use it due
+				// to missing dependency), remove it.
+				delete this.get;
+				return;
+			}
+
+			// Hook needed; redefine it so that the support test is not executed again.
+			return ( this.get = hookFn ).apply( this, arguments );
+		}
+	};
+}
+
+
+var cssPrefixes = [ "Webkit", "Moz", "ms" ],
+	emptyStyle = document.createElement( "div" ).style,
+	vendorProps = {};
+
+// Return a vendor-prefixed property or undefined
+function vendorPropName( name ) {
+
+	// Check for vendor prefixed names
+	var capName = name[ 0 ].toUpperCase() + name.slice( 1 ),
+		i = cssPrefixes.length;
+
+	while ( i-- ) {
+		name = cssPrefixes[ i ] + capName;
+		if ( name in emptyStyle ) {
+			return name;
+		}
+	}
+}
+
+// Return a potentially-mapped jQuery.cssProps or vendor prefixed property
+function finalPropName( name ) {
+	var final = jQuery.cssProps[ name ] || vendorProps[ name ];
+
+	if ( final ) {
+		return final;
+	}
+	if ( name in emptyStyle ) {
+		return name;
+	}
+	return vendorProps[ name ] = vendorPropName( name ) || name;
+}
+
+
+var
+
+	// Swappable if display is none or starts with table
+	// except "table", "table-cell", or "table-caption"
+	// See here for display values: https://developer.mozilla.org/en-US/docs/CSS/display
+	rdisplayswap = /^(none|table(?!-c[ea]).+)/,
+	rcustomProp = /^--/,
+	cssShow = { position: "absolute", visibility: "hidden", display: "block" },
+	cssNormalTransform = {
+		letterSpacing: "0",
+		fontWeight: "400"
+	};
+
+function setPositiveNumber( _elem, value, subtract ) {
+
+	// Any relative (+/-) values have already been
+	// normalized at this point
+	var matches = rcssNum.exec( value );
+	return matches ?
+
+		// Guard against undefined "subtract", e.g., when used as in cssHooks
+		Math.max( 0, matches[ 2 ] - ( subtract || 0 ) ) + ( matches[ 3 ] || "px" ) :
+		value;
+}
+
+function boxModelAdjustment( elem, dimension, box, isBorderBox, styles, computedVal ) {
+	var i = dimension === "width" ? 1 : 0,
+		extra = 0,
+		delta = 0;
+
+	// Adjustment may not be necessary
+	if ( box === ( isBorderBox ? "border" : "content" ) ) {
+		return 0;
+	}
+
+	for ( ; i < 4; i += 2 ) {
+
+		// Both box models exclude margin
+		if ( box === "margin" ) {
+			delta += jQuery.css( elem, box + cssExpand[ i ], true, styles );
+		}
+
+		// If we get here with a content-box, we're seeking "padding" or "border" or "margin"
+		if ( !isBorderBox ) {
+
+			// Add padding
+			delta += jQuery.css( elem, "padding" + cssExpand[ i ], true, styles );
+
+			// For "border" or "margin", add border
+			if ( box !== "padding" ) {
+				delta += jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles );
+
+			// But still keep track of it otherwise
+			} else {
+				extra += jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles );
+			}
+
+		// If we get here with a border-box (content + padding + border), we're seeking "content" or
+		// "padding" or "margin"
+		} else {
+
+			// For "content", subtract padding
+			if ( box === "content" ) {
+				delta -= jQuery.css( elem, "padding" + cssExpand[ i ], true, styles );
+			}
+
+			// For "content" or "padding", subtract border
+			if ( box !== "margin" ) {
+				delta -= jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles );
+			}
+		}
+	}
+
+	// Account for positive content-box scroll gutter when requested by providing computedVal
+	if ( !isBorderBox && computedVal >= 0 ) {
+
+		// offsetWidth/offsetHeight is a rounded sum of content, padding, scroll gutter, and border
+		// Assuming integer scroll gutter, subtract the rest and round down
+		delta += Math.max( 0, Math.ceil(
+			elem[ "offset" + dimension[ 0 ].toUpperCase() + dimension.slice( 1 ) ] -
+			computedVal -
+			delta -
+			extra -
+			0.5
+
+		// If offsetWidth/offsetHeight is unknown, then we can't determine content-box scroll gutter
+		// Use an explicit zero to avoid NaN (gh-3964)
+		) ) || 0;
+	}
+
+	return delta;
+}
+
+function getWidthOrHeight( elem, dimension, extra ) {
+
+	// Start with computed style
+	var styles = getStyles( elem ),
+
+		// To avoid forcing a reflow, only fetch boxSizing if we need it (gh-4322).
+		// Fake content-box until we know it's needed to know the true value.
+		boxSizingNeeded = !support.boxSizingReliable() || extra,
+		isBorderBox = boxSizingNeeded &&
+			jQuery.css( elem, "boxSizing", false, styles ) === "border-box",
+		valueIsBorderBox = isBorderBox,
+
+		val = curCSS( elem, dimension, styles ),
+		offsetProp = "offset" + dimension[ 0 ].toUpperCase() + dimension.slice( 1 );
+
+	// Support: Firefox <=54
+	// Return a confounding non-pixel value or feign ignorance, as appropriate.
+	if ( rnumnonpx.test( val ) ) {
+		if ( !extra ) {
+			return val;
+		}
+		val = "auto";
+	}
+
+
+	// Support: IE 9 - 11 only
+	// Use offsetWidth/offsetHeight for when box sizing is unreliable.
+	// In those cases, the computed value can be trusted to be border-box.
+	if ( ( !support.boxSizingReliable() && isBorderBox ||
+
+		// Support: IE 10 - 11+, Edge 15 - 18+
+		// IE/Edge misreport `getComputedStyle` of table rows with width/height
+		// set in CSS while `offset*` properties report correct values.
+		// Interestingly, in some cases IE 9 doesn't suffer from this issue.
+		!support.reliableTrDimensions() && nodeName( elem, "tr" ) ||
+
+		// Fall back to offsetWidth/offsetHeight when value is "auto"
+		// This happens for inline elements with no explicit setting (gh-3571)
+		val === "auto" ||
+
+		// Support: Android <=4.1 - 4.3 only
+		// Also use offsetWidth/offsetHeight for misreported inline dimensions (gh-3602)
+		!parseFloat( val ) && jQuery.css( elem, "display", false, styles ) === "inline" ) &&
+
+		// Make sure the element is visible & connected
+		elem.getClientRects().length ) {
+
+		isBorderBox = jQuery.css( elem, "boxSizing", false, styles ) === "border-box";
+
+		// Where available, offsetWidth/offsetHeight approximate border box dimensions.
+		// Where not available (e.g., SVG), assume unreliable box-sizing and interpret the
+		// retrieved value as a content box dimension.
+		valueIsBorderBox = offsetProp in elem;
+		if ( valueIsBorderBox ) {
+			val = elem[ offsetProp ];
+		}
+	}
+
+	// Normalize "" and auto
+	val = parseFloat( val ) || 0;
+
+	// Adjust for the element's box model
+	return ( val +
+		boxModelAdjustment(
+			elem,
+			dimension,
+			extra || ( isBorderBox ? "border" : "content" ),
+			valueIsBorderBox,
+			styles,
+
+			// Provide the current computed size to request scroll gutter calculation (gh-3589)
+			val
+		)
+	) + "px";
+}
+
+jQuery.extend( {
+
+	// Add in style property hooks for overriding the default
+	// behavior of getting and setting a style property
+	cssHooks: {
+		opacity: {
+			get: function( elem, computed ) {
+				if ( computed ) {
+
+					// We should always get a number back from opacity
+					var ret = curCSS( elem, "opacity" );
+					return ret === "" ? "1" : ret;
+				}
+			}
+		}
+	},
+
+	// Don't automatically add "px" to these possibly-unitless properties
+	cssNumber: {
+		"animationIterationCount": true,
+		"columnCount": true,
+		"fillOpacity": true,
+		"flexGrow": true,
+		"flexShrink": true,
+		"fontWeight": true,
+		"gridArea": true,
+		"gridColumn": true,
+		"gridColumnEnd": true,
+		"gridColumnStart": true,
+		"gridRow": true,
+		"gridRowEnd": true,
+		"gridRowStart": true,
+		"lineHeight": true,
+		"opacity": true,
+		"order": true,
+		"orphans": true,
+		"widows": true,
+		"zIndex": true,
+		"zoom": true
+	},
+
+	// Add in properties whose names you wish to fix before
+	// setting or getting the value
+	cssProps: {},
+
+	// Get and set the style property on a DOM Node
+	style: function( elem, name, value, extra ) {
+
+		// Don't set styles on text and comment nodes
+		if ( !elem || elem.nodeType === 3 || elem.nodeType === 8 || !elem.style ) {
+			return;
+		}
+
+		// Make sure that we're working with the right name
+		var ret, type, hooks,
+			origName = camelCase( name ),
+			isCustomProp = rcustomProp.test( name ),
+			style = elem.style;
+
+		// Make sure that we're working with the right name. We don't
+		// want to query the value if it is a CSS custom property
+		// since they are user-defined.
+		if ( !isCustomProp ) {
+			name = finalPropName( origName );
+		}
+
+		// Gets hook for the prefixed version, then unprefixed version
+		hooks = jQuery.cssHooks[ name ] || jQuery.cssHooks[ origName ];
+
+		// Check if we're setting a value
+		if ( value !== undefined ) {
+			type = typeof value;
+
+			// Convert "+=" or "-=" to relative numbers (#7345)
+			if ( type === "string" && ( ret = rcssNum.exec( value ) ) && ret[ 1 ] ) {
+				value = adjustCSS( elem, name, ret );
+
+				// Fixes bug #9237
+				type = "number";
+			}
+
+			// Make sure that null and NaN values aren't set (#7116)
+			if ( value == null || value !== value ) {
+				return;
+			}
+
+			// If a number was passed in, add the unit (except for certain CSS properties)
+			// The isCustomProp check can be removed in jQuery 4.0 when we only auto-append
+			// "px" to a few hardcoded values.
+			if ( type === "number" && !isCustomProp ) {
+				value += ret && ret[ 3 ] || ( jQuery.cssNumber[ origName ] ? "" : "px" );
+			}
+
+			// background-* props affect original clone's values
+			if ( !support.clearCloneStyle && value === "" && name.indexOf( "background" ) === 0 ) {
+				style[ name ] = "inherit";
+			}
+
+			// If a hook was provided, use that value, otherwise just set the specified value
+			if ( !hooks || !( "set" in hooks ) ||
+				( value = hooks.set( elem, value, extra ) ) !== undefined ) {
+
+				if ( isCustomProp ) {
+					style.setProperty( name, value );
+				} else {
+					style[ name ] = value;
+				}
+			}
+
+		} else {
+
+			// If a hook was provided get the non-computed value from there
+			if ( hooks && "get" in hooks &&
+				( ret = hooks.get( elem, false, extra ) ) !== undefined ) {
+
+				return ret;
+			}
+
+			// Otherwise just get the value from the style object
+			return style[ name ];
+		}
+	},
+
+	css: function( elem, name, extra, styles ) {
+		var val, num, hooks,
+			origName = camelCase( name ),
+			isCustomProp = rcustomProp.test( name );
+
+		// Make sure that we're working with the right name. We don't
+		// want to modify the value if it is a CSS custom property
+		// since they are user-defined.
+		if ( !isCustomProp ) {
+			name = finalPropName( origName );
+		}
+
+		// Try prefixed name followed by the unprefixed name
+		hooks = jQuery.cssHooks[ name ] || jQuery.cssHooks[ origName ];
+
+		// If a hook was provided get the computed value from there
+		if ( hooks && "get" in hooks ) {
+			val = hooks.get( elem, true, extra );
+		}
+
+		// Otherwise, if a way to get the computed value exists, use that
+		if ( val === undefined ) {
+			val = curCSS( elem, name, styles );
+		}
+
+		// Convert "normal" to computed value
+		if ( val === "normal" && name in cssNormalTransform ) {
+			val = cssNormalTransform[ name ];
+		}
+
+		// Make numeric if forced or a qualifier was provided and val looks numeric
+		if ( extra === "" || extra ) {
+			num = parseFloat( val );
+			return extra === true || isFinite( num ) ? num || 0 : val;
+		}
+
+		return val;
+	}
+} );
+
+jQuery.each( [ "height", "width" ], function( _i, dimension ) {
+	jQuery.cssHooks[ dimension ] = {
+		get: function( elem, computed, extra ) {
+			if ( computed ) {
+
+				// Certain elements can have dimension info if we invisibly show them
+				// but it must have a current display style that would benefit
+				return rdisplayswap.test( jQuery.css( elem, "display" ) ) &&
+
+					// Support: Safari 8+
+					// Table columns in Safari have non-zero offsetWidth & zero
+					// getBoundingClientRect().width unless display is changed.
+					// Support: IE <=11 only
+					// Running getBoundingClientRect on a disconnected node
+					// in IE throws an error.
+					( !elem.getClientRects().length || !elem.getBoundingClientRect().width ) ?
+					swap( elem, cssShow, function() {
+						return getWidthOrHeight( elem, dimension, extra );
+					} ) :
+					getWidthOrHeight( elem, dimension, extra );
+			}
+		},
+
+		set: function( elem, value, extra ) {
+			var matches,
+				styles = getStyles( elem ),
+
+				// Only read styles.position if the test has a chance to fail
+				// to avoid forcing a reflow.
+				scrollboxSizeBuggy = !support.scrollboxSize() &&
+					styles.position === "absolute",
+
+				// To avoid forcing a reflow, only fetch boxSizing if we need it (gh-3991)
+				boxSizingNeeded = scrollboxSizeBuggy || extra,
+				isBorderBox = boxSizingNeeded &&
+					jQuery.css( elem, "boxSizing", false, styles ) === "border-box",
+				subtract = extra ?
+					boxModelAdjustment(
+						elem,
+						dimension,
+						extra,
+						isBorderBox,
+						styles
+					) :
+					0;
+
+			// Account for unreliable border-box dimensions by comparing offset* to computed and
+			// faking a content-box to get border and padding (gh-3699)
+			if ( isBorderBox && scrollboxSizeBuggy ) {
+				subtract -= Math.ceil(
+					elem[ "offset" + dimension[ 0 ].toUpperCase() + dimension.slice( 1 ) ] -
+					parseFloat( styles[ dimension ] ) -
+					boxModelAdjustment( elem, dimension, "border", false, styles ) -
+					0.5
+				);
+			}
+
+			// Convert to pixels if value adjustment is needed
+			if ( subtract && ( matches = rcssNum.exec( value ) ) &&
+				( matches[ 3 ] || "px" ) !== "px" ) {
+
+				elem.style[ dimension ] = value;
+				value = jQuery.css( elem, dimension );
+			}
+
+			return setPositiveNumber( elem, value, subtract );
+		}
+	};
+} );
+
+jQuery.cssHooks.marginLeft = addGetHookIf( support.reliableMarginLeft,
+	function( elem, computed ) {
+		if ( computed ) {
+			return ( parseFloat( curCSS( elem, "marginLeft" ) ) ||
+				elem.getBoundingClientRect().left -
+					swap( elem, { marginLeft: 0 }, function() {
+						return elem.getBoundingClientRect().left;
+					} )
+			) + "px";
+		}
+	}
+);
+
+// These hooks are used by animate to expand properties
+jQuery.each( {
+	margin: "",
+	padding: "",
+	border: "Width"
+}, function( prefix, suffix ) {
+	jQuery.cssHooks[ prefix + suffix ] = {
+		expand: function( value ) {
+			var i = 0,
+				expanded = {},
+
+				// Assumes a single number if not a string
+				parts = typeof value === "string" ? value.split( " " ) : [ value ];
+
+			for ( ; i < 4; i++ ) {
+				expanded[ prefix + cssExpand[ i ] + suffix ] =
+					parts[ i ] || parts[ i - 2 ] || parts[ 0 ];
+			}
+
+			return expanded;
+		}
+	};
+
+	if ( prefix !== "margin" ) {
+		jQuery.cssHooks[ prefix + suffix ].set = setPositiveNumber;
+	}
+} );
+
+jQuery.fn.extend( {
+	css: function( name, value ) {
+		return access( this, function( elem, name, value ) {
+			var styles, len,
+				map = {},
+				i = 0;
+
+			if ( Array.isArray( name ) ) {
+				styles = getStyles( elem );
+				len = name.length;
+
+				for ( ; i < len; i++ ) {
+					map[ name[ i ] ] = jQuery.css( elem, name[ i ], false, styles );
+				}
+
+				return map;
+			}
+
+			return value !== undefined ?
+				jQuery.style( elem, name, value ) :
+				jQuery.css( elem, name );
+		}, name, value, arguments.length > 1 );
+	}
+} );
+
+
+function Tween( elem, options, prop, end, easing ) {
+	return new Tween.prototype.init( elem, options, prop, end, easing );
+}
+jQuery.Tween = Tween;
+
+Tween.prototype = {
+	constructor: Tween,
+	init: function( elem, options, prop, end, easing, unit ) {
+		this.elem = elem;
+		this.prop = prop;
+		this.easing = easing || jQuery.easing._default;
+		this.options = options;
+		this.start = this.now = this.cur();
+		this.end = end;
+		this.unit = unit || ( jQuery.cssNumber[ prop ] ? "" : "px" );
+	},
+	cur: function() {
+		var hooks = Tween.propHooks[ this.prop ];
+
+		return hooks && hooks.get ?
+			hooks.get( this ) :
+			Tween.propHooks._default.get( this );
+	},
+	run: function( percent ) {
+		var eased,
+			hooks = Tween.propHooks[ this.prop ];
+
+		if ( this.options.duration ) {
+			this.pos = eased = jQuery.easing[ this.easing ](
+				percent, this.options.duration * percent, 0, 1, this.options.duration
+			);
+		} else {
+			this.pos = eased = percent;
+		}
+		this.now = ( this.end - this.start ) * eased + this.start;
+
+		if ( this.options.step ) {
+			this.options.step.call( this.elem, this.now, this );
+		}
+
+		if ( hooks && hooks.set ) {
+			hooks.set( this );
+		} else {
+			Tween.propHooks._default.set( this );
+		}
+		return this;
+	}
+};
+
+Tween.prototype.init.prototype = Tween.prototype;
+
+Tween.propHooks = {
+	_default: {
+		get: function( tween ) {
+			var result;
+
+			// Use a property on the element directly when it is not a DOM element,
+			// or when there is no matching style property that exists.
+			if ( tween.elem.nodeType !== 1 ||
+				tween.elem[ tween.prop ] != null && tween.elem.style[ tween.prop ] == null ) {
+				return tween.elem[ tween.prop ];
+			}
+
+			// Passing an empty string as a 3rd parameter to .css will automatically
+			// attempt a parseFloat and fallback to a string if the parse fails.
+			// Simple values such as "10px" are parsed to Float;
+			// complex values such as "rotate(1rad)" are returned as-is.
+			result = jQuery.css( tween.elem, tween.prop, "" );
+
+			// Empty strings, null, undefined and "auto" are converted to 0.
+			return !result || result === "auto" ? 0 : result;
+		},
+		set: function( tween ) {
+
+			// Use step hook for back compat.
+			// Use cssHook if its there.
+			// Use .style if available and use plain properties where available.
+			if ( jQuery.fx.step[ tween.prop ] ) {
+				jQuery.fx.step[ tween.prop ]( tween );
+			} else if ( tween.elem.nodeType === 1 && (
+				jQuery.cssHooks[ tween.prop ] ||
+					tween.elem.style[ finalPropName( tween.prop ) ] != null ) ) {
+				jQuery.style( tween.elem, tween.prop, tween.now + tween.unit );
+			} else {
+				tween.elem[ tween.prop ] = tween.now;
+			}
+		}
+	}
+};
+
+// Support: IE <=9 only
+// Panic based approach to setting things on disconnected nodes
+Tween.propHooks.scrollTop = Tween.propHooks.scrollLeft = {
+	set: function( tween ) {
+		if ( tween.elem.nodeType && tween.elem.parentNode ) {
+			tween.elem[ tween.prop ] = tween.now;
+		}
+	}
+};
+
+jQuery.easing = {
+	linear: function( p ) {
+		return p;
+	},
+	swing: function( p ) {
+		return 0.5 - Math.cos( p * Math.PI ) / 2;
+	},
+	_default: "swing"
+};
+
+jQuery.fx = Tween.prototype.init;
+
+// Back compat <1.8 extension point
+jQuery.fx.step = {};
+
+
+
+
+var
+	fxNow, inProgress,
+	rfxtypes = /^(?:toggle|show|hide)$/,
+	rrun = /queueHooks$/;
+
+function schedule() {
+	if ( inProgress ) {
+		if ( document.hidden === false && window.requestAnimationFrame ) {
+			window.requestAnimationFrame( schedule );
+		} else {
+			window.setTimeout( schedule, jQuery.fx.interval );
+		}
+
+		jQuery.fx.tick();
+	}
+}
+
+// Animations created synchronously will run synchronously
+function createFxNow() {
+	window.setTimeout( function() {
+		fxNow = undefined;
+	} );
+	return ( fxNow = Date.now() );
+}
+
+// Generate parameters to create a standard animation
+function genFx( type, includeWidth ) {
+	var which,
+		i = 0,
+		attrs = { height: type };
+
+	// If we include width, step value is 1 to do all cssExpand values,
+	// otherwise step value is 2 to skip over Left and Right
+	includeWidth = includeWidth ? 1 : 0;
+	for ( ; i < 4; i += 2 - includeWidth ) {
+		which = cssExpand[ i ];
+		attrs[ "margin" + which ] = attrs[ "padding" + which ] = type;
+	}
+
+	if ( includeWidth ) {
+		attrs.opacity = attrs.width = type;
+	}
+
+	return attrs;
+}
+
+function createTween( value, prop, animation ) {
+	var tween,
+		collection = ( Animation.tweeners[ prop ] || [] ).concat( Animation.tweeners[ "*" ] ),
+		index = 0,
+		length = collection.length;
+	for ( ; index < length; index++ ) {
+		if ( ( tween = collection[ index ].call( animation, prop, value ) ) ) {
+
+			// We're done with this property
+			return tween;
+		}
+	}
+}
+
+function defaultPrefilter( elem, props, opts ) {
+	var prop, value, toggle, hooks, oldfire, propTween, restoreDisplay, display,
+		isBox = "width" in props || "height" in props,
+		anim = this,
+		orig = {},
+		style = elem.style,
+		hidden = elem.nodeType && isHiddenWithinTree( elem ),
+		dataShow = dataPriv.get( elem, "fxshow" );
+
+	// Queue-skipping animations hijack the fx hooks
+	if ( !opts.queue ) {
+		hooks = jQuery._queueHooks( elem, "fx" );
+		if ( hooks.unqueued == null ) {
+			hooks.unqueued = 0;
+			oldfire = hooks.empty.fire;
+			hooks.empty.fire = function() {
+				if ( !hooks.unqueued ) {
+					oldfire();
+				}
+			};
+		}
+		hooks.unqueued++;
+
+		anim.always( function() {
+
+			// Ensure the complete handler is called before this completes
+			anim.always( function() {
+				hooks.unqueued--;
+				if ( !jQuery.queue( elem, "fx" ).length ) {
+					hooks.empty.fire();
+				}
+			} );
+		} );
+	}
+
+	// Detect show/hide animations
+	for ( prop in props ) {
+		value = props[ prop ];
+		if ( rfxtypes.test( value ) ) {
+			delete props[ prop ];
+			toggle = toggle || value === "toggle";
+			if ( value === ( hidden ? "hide" : "show" ) ) {
+
+				// Pretend to be hidden if this is a "show" and
+				// there is still data from a stopped show/hide
+				if ( value === "show" && dataShow && dataShow[ prop ] !== undefined ) {
+					hidden = true;
+
+				// Ignore all other no-op show/hide data
+				} else {
+					continue;
+				}
+			}
+			orig[ prop ] = dataShow && dataShow[ prop ] || jQuery.style( elem, prop );
+		}
+	}
+
+	// Bail out if this is a no-op like .hide().hide()
+	propTween = !jQuery.isEmptyObject( props );
+	if ( !propTween && jQuery.isEmptyObject( orig ) ) {
+		return;
+	}
+
+	// Restrict "overflow" and "display" styles during box animations
+	if ( isBox && elem.nodeType === 1 ) {
+
+		// Support: IE <=9 - 11, Edge 12 - 15
+		// Record all 3 overflow attributes because IE does not infer the shorthand
+		// from identically-valued overflowX and overflowY and Edge just mirrors
+		// the overflowX value there.
+		opts.overflow = [ style.overflow, style.overflowX, style.overflowY ];
+
+		// Identify a display type, preferring old show/hide data over the CSS cascade
+		restoreDisplay = dataShow && dataShow.display;
+		if ( restoreDisplay == null ) {
+			restoreDisplay = dataPriv.get( elem, "display" );
+		}
+		display = jQuery.css( elem, "display" );
+		if ( display === "none" ) {
+			if ( restoreDisplay ) {
+				display = restoreDisplay;
+			} else {
+
+				// Get nonempty value(s) by temporarily forcing visibility
+				showHide( [ elem ], true );
+				restoreDisplay = elem.style.display || restoreDisplay;
+				display = jQuery.css( elem, "display" );
+				showHide( [ elem ] );
+			}
+		}
+
+		// Animate inline elements as inline-block
+		if ( display === "inline" || display === "inline-block" && restoreDisplay != null ) {
+			if ( jQuery.css( elem, "float" ) === "none" ) {
+
+				// Restore the original display value at the end of pure show/hide animations
+				if ( !propTween ) {
+					anim.done( function() {
+						style.display = restoreDisplay;
+					} );
+					if ( restoreDisplay == null ) {
+						display = style.display;
+						restoreDisplay = display === "none" ? "" : display;
+					}
+				}
+				style.display = "inline-block";
+			}
+		}
+	}
+
+	if ( opts.overflow ) {
+		style.overflow = "hidden";
+		anim.always( function() {
+			style.overflow = opts.overflow[ 0 ];
+			style.overflowX = opts.overflow[ 1 ];
+			style.overflowY = opts.overflow[ 2 ];
+		} );
+	}
+
+	// Implement show/hide animations
+	propTween = false;
+	for ( prop in orig ) {
+
+		// General show/hide setup for this element animation
+		if ( !propTween ) {
+			if ( dataShow ) {
+				if ( "hidden" in dataShow ) {
+					hidden = dataShow.hidden;
+				}
+			} else {
+				dataShow = dataPriv.access( elem, "fxshow", { display: restoreDisplay } );
+			}
+
+			// Store hidden/visible for toggle so `.stop().toggle()` "reverses"
+			if ( toggle ) {
+				dataShow.hidden = !hidden;
+			}
+
+			// Show elements before animating them
+			if ( hidden ) {
+				showHide( [ elem ], true );
+			}
+
+			/* eslint-disable no-loop-func */
+
+			anim.done( function() {
+
+				/* eslint-enable no-loop-func */
+
+				// The final step of a "hide" animation is actually hiding the element
+				if ( !hidden ) {
+					showHide( [ elem ] );
+				}
+				dataPriv.remove( elem, "fxshow" );
+				for ( prop in orig ) {
+					jQuery.style( elem, prop, orig[ prop ] );
+				}
+			} );
+		}
+
+		// Per-property setup
+		propTween = createTween( hidden ? dataShow[ prop ] : 0, prop, anim );
+		if ( !( prop in dataShow ) ) {
+			dataShow[ prop ] = propTween.start;
+			if ( hidden ) {
+				propTween.end = propTween.start;
+				propTween.start = 0;
+			}
+		}
+	}
+}
+
+function propFilter( props, specialEasing ) {
+	var index, name, easing, value, hooks;
+
+	// camelCase, specialEasing and expand cssHook pass
+	for ( index in props ) {
+		name = camelCase( index );
+		easing = specialEasing[ name ];
+		value = props[ index ];
+		if ( Array.isArray( value ) ) {
+			easing = value[ 1 ];
+			value = props[ index ] = value[ 0 ];
+		}
+
+		if ( index !== name ) {
+			props[ name ] = value;
+			delete props[ index ];
+		}
+
+		hooks = jQuery.cssHooks[ name ];
+		if ( hooks && "expand" in hooks ) {
+			value = hooks.expand( value );
+			delete props[ name ];
+
+			// Not quite $.extend, this won't overwrite existing keys.
+			// Reusing 'index' because we have the correct "name"
+			for ( index in value ) {
+				if ( !( index in props ) ) {
+					props[ index ] = value[ index ];
+					specialEasing[ index ] = easing;
+				}
+			}
+		} else {
+			specialEasing[ name ] = easing;
+		}
+	}
+}
+
+function Animation( elem, properties, options ) {
+	var result,
+		stopped,
+		index = 0,
+		length = Animation.prefilters.length,
+		deferred = jQuery.Deferred().always( function() {
+
+			// Don't match elem in the :animated selector
+			delete tick.elem;
+		} ),
+		tick = function() {
+			if ( stopped ) {
+				return false;
+			}
+			var currentTime = fxNow || createFxNow(),
+				remaining = Math.max( 0, animation.startTime + animation.duration - currentTime ),
+
+				// Support: Android 2.3 only
+				// Archaic crash bug won't allow us to use `1 - ( 0.5 || 0 )` (#12497)
+				temp = remaining / animation.duration || 0,
+				percent = 1 - temp,
+				index = 0,
+				length = animation.tweens.length;
+
+			for ( ; index < length; index++ ) {
+				animation.tweens[ index ].run( percent );
+			}
+
+			deferred.notifyWith( elem, [ animation, percent, remaining ] );
+
+			// If there's more to do, yield
+			if ( percent < 1 && length ) {
+				return remaining;
+			}
+
+			// If this was an empty animation, synthesize a final progress notification
+			if ( !length ) {
+				deferred.notifyWith( elem, [ animation, 1, 0 ] );
+			}
+
+			// Resolve the animation and report its conclusion
+			deferred.resolveWith( elem, [ animation ] );
+			return false;
+		},
+		animation = deferred.promise( {
+			elem: elem,
+			props: jQuery.extend( {}, properties ),
+			opts: jQuery.extend( true, {
+				specialEasing: {},
+				easing: jQuery.easing._default
+			}, options ),
+			originalProperties: properties,
+			originalOptions: options,
+			startTime: fxNow || createFxNow(),
+			duration: options.duration,
+			tweens: [],
+			createTween: function( prop, end ) {
+				var tween = jQuery.Tween( elem, animation.opts, prop, end,
+					animation.opts.specialEasing[ prop ] || animation.opts.easing );
+				animation.tweens.push( tween );
+				return tween;
+			},
+			stop: function( gotoEnd ) {
+				var index = 0,
+
+					// If we are going to the end, we want to run all the tweens
+					// otherwise we skip this part
+					length = gotoEnd ? animation.tweens.length : 0;
+				if ( stopped ) {
+					return this;
+				}
+				stopped = true;
+				for ( ; index < length; index++ ) {
+					animation.tweens[ index ].run( 1 );
+				}
+
+				// Resolve when we played the last frame; otherwise, reject
+				if ( gotoEnd ) {
+					deferred.notifyWith( elem, [ animation, 1, 0 ] );
+					deferred.resolveWith( elem, [ animation, gotoEnd ] );
+				} else {
+					deferred.rejectWith( elem, [ animation, gotoEnd ] );
+				}
+				return this;
+			}
+		} ),
+		props = animation.props;
+
+	propFilter( props, animation.opts.specialEasing );
+
+	for ( ; index < length; index++ ) {
+		result = Animation.prefilters[ index ].call( animation, elem, props, animation.opts );
+		if ( result ) {
+			if ( isFunction( result.stop ) ) {
+				jQuery._queueHooks( animation.elem, animation.opts.queue ).stop =
+					result.stop.bind( result );
+			}
+			return result;
+		}
+	}
+
+	jQuery.map( props, createTween, animation );
+
+	if ( isFunction( animation.opts.start ) ) {
+		animation.opts.start.call( elem, animation );
+	}
+
+	// Attach callbacks from options
+	animation
+		.progress( animation.opts.progress )
+		.done( animation.opts.done, animation.opts.complete )
+		.fail( animation.opts.fail )
+		.always( animation.opts.always );
+
+	jQuery.fx.timer(
+		jQuery.extend( tick, {
+			elem: elem,
+			anim: animation,
+			queue: animation.opts.queue
+		} )
+	);
+
+	return animation;
+}
+
+jQuery.Animation = jQuery.extend( Animation, {
+
+	tweeners: {
+		"*": [ function( prop, value ) {
+			var tween = this.createTween( prop, value );
+			adjustCSS( tween.elem, prop, rcssNum.exec( value ), tween );
+			return tween;
+		} ]
+	},
+
+	tweener: function( props, callback ) {
+		if ( isFunction( props ) ) {
+			callback = props;
+			props = [ "*" ];
+		} else {
+			props = props.match( rnothtmlwhite );
+		}
+
+		var prop,
+			index = 0,
+			length = props.length;
+
+		for ( ; index < length; index++ ) {
+			prop = props[ index ];
+			Animation.tweeners[ prop ] = Animation.tweeners[ prop ] || [];
+			Animation.tweeners[ prop ].unshift( callback );
+		}
+	},
+
+	prefilters: [ defaultPrefilter ],
+
+	prefilter: function( callback, prepend ) {
+		if ( prepend ) {
+			Animation.prefilters.unshift( callback );
+		} else {
+			Animation.prefilters.push( callback );
+		}
+	}
+} );
+
+jQuery.speed = function( speed, easing, fn ) {
+	var opt = speed && typeof speed === "object" ? jQuery.extend( {}, speed ) : {
+		complete: fn || !fn && easing ||
+			isFunction( speed ) && speed,
+		duration: speed,
+		easing: fn && easing || easing && !isFunction( easing ) && easing
+	};
+
+	// Go to the end state if fx are off
+	if ( jQuery.fx.off ) {
+		opt.duration = 0;
+
+	} else {
+		if ( typeof opt.duration !== "number" ) {
+			if ( opt.duration in jQuery.fx.speeds ) {
+				opt.duration = jQuery.fx.speeds[ opt.duration ];
+
+			} else {
+				opt.duration = jQuery.fx.speeds._default;
+			}
+		}
+	}
+
+	// Normalize opt.queue - true/undefined/null -> "fx"
+	if ( opt.queue == null || opt.queue === true ) {
+		opt.queue = "fx";
+	}
+
+	// Queueing
+	opt.old = opt.complete;
+
+	opt.complete = function() {
+		if ( isFunction( opt.old ) ) {
+			opt.old.call( this );
+		}
+
+		if ( opt.queue ) {
+			jQuery.dequeue( this, opt.queue );
+		}
+	};
+
+	return opt;
+};
+
+jQuery.fn.extend( {
+	fadeTo: function( speed, to, easing, callback ) {
+
+		// Show any hidden elements after setting opacity to 0
+		return this.filter( isHiddenWithinTree ).css( "opacity", 0 ).show()
+
+			// Animate to the value specified
+			.end().animate( { opacity: to }, speed, easing, callback );
+	},
+	animate: function( prop, speed, easing, callback ) {
+		var empty = jQuery.isEmptyObject( prop ),
+			optall = jQuery.speed( speed, easing, callback ),
+			doAnimation = function() {
+
+				// Operate on a copy of prop so per-property easing won't be lost
+				var anim = Animation( this, jQuery.extend( {}, prop ), optall );
+
+				// Empty animations, or finishing resolves immediately
+				if ( empty || dataPriv.get( this, "finish" ) ) {
+					anim.stop( true );
+				}
+			};
+
+		doAnimation.finish = doAnimation;
+
+		return empty || optall.queue === false ?
+			this.each( doAnimation ) :
+			this.queue( optall.queue, doAnimation );
+	},
+	stop: function( type, clearQueue, gotoEnd ) {
+		var stopQueue = function( hooks ) {
+			var stop = hooks.stop;
+			delete hooks.stop;
+			stop( gotoEnd );
+		};
+
+		if ( typeof type !== "string" ) {
+			gotoEnd = clearQueue;
+			clearQueue = type;
+			type = undefined;
+		}
+		if ( clearQueue ) {
+			this.queue( type || "fx", [] );
+		}
+
+		return this.each( function() {
+			var dequeue = true,
+				index = type != null && type + "queueHooks",
+				timers = jQuery.timers,
+				data = dataPriv.get( this );
+
+			if ( index ) {
+				if ( data[ index ] && data[ index ].stop ) {
+					stopQueue( data[ index ] );
+				}
+			} else {
+				for ( index in data ) {
+					if ( data[ index ] && data[ index ].stop && rrun.test( index ) ) {
+						stopQueue( data[ index ] );
+					}
+				}
+			}
+
+			for ( index = timers.length; index--; ) {
+				if ( timers[ index ].elem === this &&
+					( type == null || timers[ index ].queue === type ) ) {
+
+					timers[ index ].anim.stop( gotoEnd );
+					dequeue = false;
+					timers.splice( index, 1 );
+				}
+			}
+
+			// Start the next in the queue if the last step wasn't forced.
+			// Timers currently will call their complete callbacks, which
+			// will dequeue but only if they were gotoEnd.
+			if ( dequeue || !gotoEnd ) {
+				jQuery.dequeue( this, type );
+			}
+		} );
+	},
+	finish: function( type ) {
+		if ( type !== false ) {
+			type = type || "fx";
+		}
+		return this.each( function() {
+			var index,
+				data = dataPriv.get( this ),
+				queue = data[ type + "queue" ],
+				hooks = data[ type + "queueHooks" ],
+				timers = jQuery.timers,
+				length = queue ? queue.length : 0;
+
+			// Enable finishing flag on private data
+			data.finish = true;
+
+			// Empty the queue first
+			jQuery.queue( this, type, [] );
+
+			if ( hooks && hooks.stop ) {
+				hooks.stop.call( this, true );
+			}
+
+			// Look for any active animations, and finish them
+			for ( index = timers.length; index--; ) {
+				if ( timers[ index ].elem === this && timers[ index ].queue === type ) {
+					timers[ index ].anim.stop( true );
+					timers.splice( index, 1 );
+				}
+			}
+
+			// Look for any animations in the old queue and finish them
+			for ( index = 0; index < length; index++ ) {
+				if ( queue[ index ] && queue[ index ].finish ) {
+					queue[ index ].finish.call( this );
+				}
+			}
+
+			// Turn off finishing flag
+			delete data.finish;
+		} );
+	}
+} );
+
+jQuery.each( [ "toggle", "show", "hide" ], function( _i, name ) {
+	var cssFn = jQuery.fn[ name ];
+	jQuery.fn[ name ] = function( speed, easing, callback ) {
+		return speed == null || typeof speed === "boolean" ?
+			cssFn.apply( this, arguments ) :
+			this.animate( genFx( name, true ), speed, easing, callback );
+	};
+} );
+
+// Generate shortcuts for custom animations
+jQuery.each( {
+	slideDown: genFx( "show" ),
+	slideUp: genFx( "hide" ),
+	slideToggle: genFx( "toggle" ),
+	fadeIn: { opacity: "show" },
+	fadeOut: { opacity: "hide" },
+	fadeToggle: { opacity: "toggle" }
+}, function( name, props ) {
+	jQuery.fn[ name ] = function( speed, easing, callback ) {
+		return this.animate( props, speed, easing, callback );
+	};
+} );
+
+jQuery.timers = [];
+jQuery.fx.tick = function() {
+	var timer,
+		i = 0,
+		timers = jQuery.timers;
+
+	fxNow = Date.now();
+
+	for ( ; i < timers.length; i++ ) {
+		timer = timers[ i ];
+
+		// Run the timer and safely remove it when done (allowing for external removal)
+		if ( !timer() && timers[ i ] === timer ) {
+			timers.splice( i--, 1 );
+		}
+	}
+
+	if ( !timers.length ) {
+		jQuery.fx.stop();
+	}
+	fxNow = undefined;
+};
+
+jQuery.fx.timer = function( timer ) {
+	jQuery.timers.push( timer );
+	jQuery.fx.start();
+};
+
+jQuery.fx.interval = 13;
+jQuery.fx.start = function() {
+	if ( inProgress ) {
+		return;
+	}
+
+	inProgress = true;
+	schedule();
+};
+
+jQuery.fx.stop = function() {
+	inProgress = null;
+};
+
+jQuery.fx.speeds = {
+	slow: 600,
+	fast: 200,
+
+	// Default speed
+	_default: 400
+};
+
+
+// Based off of the plugin by Clint Helfers, with permission.
+// https://web.archive.org/web/20100324014747/http://blindsignals.com/index.php/2009/07/jquery-delay/
+jQuery.fn.delay = function( time, type ) {
+	time = jQuery.fx ? jQuery.fx.speeds[ time ] || time : time;
+	type = type || "fx";
+
+	return this.queue( type, function( next, hooks ) {
+		var timeout = window.setTimeout( next, time );
+		hooks.stop = function() {
+			window.clearTimeout( timeout );
+		};
+	} );
+};
+
+
+( function() {
+	var input = document.createElement( "input" ),
+		select = document.createElement( "select" ),
+		opt = select.appendChild( document.createElement( "option" ) );
+
+	input.type = "checkbox";
+
+	// Support: Android <=4.3 only
+	// Default value for a checkbox should be "on"
+	support.checkOn = input.value !== "";
+
+	// Support: IE <=11 only
+	// Must access selectedIndex to make default options select
+	support.optSelected = opt.selected;
+
+	// Support: IE <=11 only
+	// An input loses its value after becoming a radio
+	input = document.createElement( "input" );
+	input.value = "t";
+	input.type = "radio";
+	support.radioValue = input.value === "t";
+} )();
+
+
+var boolHook,
+	attrHandle = jQuery.expr.attrHandle;
+
+jQuery.fn.extend( {
+	attr: function( name, value ) {
+		return access( this, jQuery.attr, name, value, arguments.length > 1 );
+	},
+
+	removeAttr: function( name ) {
+		return this.each( function() {
+			jQuery.removeAttr( this, name );
+		} );
+	}
+} );
+
+jQuery.extend( {
+	attr: function( elem, name, value ) {
+		var ret, hooks,
+			nType = elem.nodeType;
+
+		// Don't get/set attributes on text, comment and attribute nodes
+		if ( nType === 3 || nType === 8 || nType === 2 ) {
+			return;
+		}
+
+		// Fallback to prop when attributes are not supported
+		if ( typeof elem.getAttribute === "undefined" ) {
+			return jQuery.prop( elem, name, value );
+		}
+
+		// Attribute hooks are determined by the lowercase version
+		// Grab necessary hook if one is defined
+		if ( nType !== 1 || !jQuery.isXMLDoc( elem ) ) {
+			hooks = jQuery.attrHooks[ name.toLowerCase() ] ||
+				( jQuery.expr.match.bool.test( name ) ? boolHook : undefined );
+		}
+
+		if ( value !== undefined ) {
+			if ( value === null ) {
+				jQuery.removeAttr( elem, name );
+				return;
+			}
+
+			if ( hooks && "set" in hooks &&
+				( ret = hooks.set( elem, value, name ) ) !== undefined ) {
+				return ret;
+			}
+
+			elem.setAttribute( name, value + "" );
+			return value;
+		}
+
+		if ( hooks && "get" in hooks && ( ret = hooks.get( elem, name ) ) !== null ) {
+			return ret;
+		}
+
+		ret = jQuery.find.attr( elem, name );
+
+		// Non-existent attributes return null, we normalize to undefined
+		return ret == null ? undefined : ret;
+	},
+
+	attrHooks: {
+		type: {
+			set: function( elem, value ) {
+				if ( !support.radioValue && value === "radio" &&
+					nodeName( elem, "input" ) ) {
+					var val = elem.value;
+					elem.setAttribute( "type", value );
+					if ( val ) {
+						elem.value = val;
+					}
+					return value;
+				}
+			}
+		}
+	},
+
+	removeAttr: function( elem, value ) {
+		var name,
+			i = 0,
+
+			// Attribute names can contain non-HTML whitespace characters
+			// https://html.spec.whatwg.org/multipage/syntax.html#attributes-2
+			attrNames = value && value.match( rnothtmlwhite );
+
+		if ( attrNames && elem.nodeType === 1 ) {
+			while ( ( name = attrNames[ i++ ] ) ) {
+				elem.removeAttribute( name );
+			}
+		}
+	}
+} );
+
+// Hooks for boolean attributes
+boolHook = {
+	set: function( elem, value, name ) {
+		if ( value === false ) {
+
+			// Remove boolean attributes when set to false
+			jQuery.removeAttr( elem, name );
+		} else {
+			elem.setAttribute( name, name );
+		}
+		return name;
+	}
+};
+
+jQuery.each( jQuery.expr.match.bool.source.match( /\w+/g ), function( _i, name ) {
+	var getter = attrHandle[ name ] || jQuery.find.attr;
+
+	attrHandle[ name ] = function( elem, name, isXML ) {
+		var ret, handle,
+			lowercaseName = name.toLowerCase();
+
+		if ( !isXML ) {
+
+			// Avoid an infinite loop by temporarily removing this function from the getter
+			handle = attrHandle[ lowercaseName ];
+			attrHandle[ lowercaseName ] = ret;
+			ret = getter( elem, name, isXML ) != null ?
+				lowercaseName :
+				null;
+			attrHandle[ lowercaseName ] = handle;
+		}
+		return ret;
+	};
+} );
+
+
+
+
+var rfocusable = /^(?:input|select|textarea|button)$/i,
+	rclickable = /^(?:a|area)$/i;
+
+jQuery.fn.extend( {
+	prop: function( name, value ) {
+		return access( this, jQuery.prop, name, value, arguments.length > 1 );
+	},
+
+	removeProp: function( name ) {
+		return this.each( function() {
+			delete this[ jQuery.propFix[ name ] || name ];
+		} );
+	}
+} );
+
+jQuery.extend( {
+	prop: function( elem, name, value ) {
+		var ret, hooks,
+			nType = elem.nodeType;
+
+		// Don't get/set properties on text, comment and attribute nodes
+		if ( nType === 3 || nType === 8 || nType === 2 ) {
+			return;
+		}
+
+		if ( nType !== 1 || !jQuery.isXMLDoc( elem ) ) {
+
+			// Fix name and attach hooks
+			name = jQuery.propFix[ name ] || name;
+			hooks = jQuery.propHooks[ name ];
+		}
+
+		if ( value !== undefined ) {
+			if ( hooks && "set" in hooks &&
+				( ret = hooks.set( elem, value, name ) ) !== undefined ) {
+				return ret;
+			}
+
+			return ( elem[ name ] = value );
+		}
+
+		if ( hooks && "get" in hooks && ( ret = hooks.get( elem, name ) ) !== null ) {
+			return ret;
+		}
+
+		return elem[ name ];
+	},
+
+	propHooks: {
+		tabIndex: {
+			get: function( elem ) {
+
+				// Support: IE <=9 - 11 only
+				// elem.tabIndex doesn't always return the
+				// correct value when it hasn't been explicitly set
+				// https://web.archive.org/web/20141116233347/http://fluidproject.org/blog/2008/01/09/getting-setting-and-removing-tabindex-values-with-javascript/
+				// Use proper attribute retrieval(#12072)
+				var tabindex = jQuery.find.attr( elem, "tabindex" );
+
+				if ( tabindex ) {
+					return parseInt( tabindex, 10 );
+				}
+
+				if (
+					rfocusable.test( elem.nodeName ) ||
+					rclickable.test( elem.nodeName ) &&
+					elem.href
+				) {
+					return 0;
+				}
+
+				return -1;
+			}
+		}
+	},
+
+	propFix: {
+		"for": "htmlFor",
+		"class": "className"
+	}
+} );
+
+// Support: IE <=11 only
+// Accessing the selectedIndex property
+// forces the browser to respect setting selected
+// on the option
+// The getter ensures a default option is selected
+// when in an optgroup
+// eslint rule "no-unused-expressions" is disabled for this code
+// since it considers such accessions noop
+if ( !support.optSelected ) {
+	jQuery.propHooks.selected = {
+		get: function( elem ) {
+
+			/* eslint no-unused-expressions: "off" */
+
+			var parent = elem.parentNode;
+			if ( parent && parent.parentNode ) {
+				parent.parentNode.selectedIndex;
+			}
+			return null;
+		},
+		set: function( elem ) {
+
+			/* eslint no-unused-expressions: "off" */
+
+			var parent = elem.parentNode;
+			if ( parent ) {
+				parent.selectedIndex;
+
+				if ( parent.parentNode ) {
+					parent.parentNode.selectedIndex;
+				}
+			}
+		}
+	};
+}
+
+jQuery.each( [
+	"tabIndex",
+	"readOnly",
+	"maxLength",
+	"cellSpacing",
+	"cellPadding",
+	"rowSpan",
+	"colSpan",
+	"useMap",
+	"frameBorder",
+	"contentEditable"
+], function() {
+	jQuery.propFix[ this.toLowerCase() ] = this;
+} );
+
+
+
+
+	// Strip and collapse whitespace according to HTML spec
+	// https://infra.spec.whatwg.org/#strip-and-collapse-ascii-whitespace
+	function stripAndCollapse( value ) {
+		var tokens = value.match( rnothtmlwhite ) || [];
+		return tokens.join( " " );
+	}
+
+
+function getClass( elem ) {
+	return elem.getAttribute && elem.getAttribute( "class" ) || "";
+}
+
+function classesToArray( value ) {
+	if ( Array.isArray( value ) ) {
+		return value;
+	}
+	if ( typeof value === "string" ) {
+		return value.match( rnothtmlwhite ) || [];
+	}
+	return [];
+}
+
+jQuery.fn.extend( {
+	addClass: function( value ) {
+		var classes, elem, cur, curValue, clazz, j, finalValue,
+			i = 0;
+
+		if ( isFunction( value ) ) {
+			return this.each( function( j ) {
+				jQuery( this ).addClass( value.call( this, j, getClass( this ) ) );
+			} );
+		}
+
+		classes = classesToArray( value );
+
+		if ( classes.length ) {
+			while ( ( elem = this[ i++ ] ) ) {
+				curValue = getClass( elem );
+				cur = elem.nodeType === 1 && ( " " + stripAndCollapse( curValue ) + " " );
+
+				if ( cur ) {
+					j = 0;
+					while ( ( clazz = classes[ j++ ] ) ) {
+						if ( cur.indexOf( " " + clazz + " " ) < 0 ) {
+							cur += clazz + " ";
+						}
+					}
+
+					// Only assign if different to avoid unneeded rendering.
+					finalValue = stripAndCollapse( cur );
+					if ( curValue !== finalValue ) {
+						elem.setAttribute( "class", finalValue );
+					}
+				}
+			}
+		}
+
+		return this;
+	},
+
+	removeClass: function( value ) {
+		var classes, elem, cur, curValue, clazz, j, finalValue,
+			i = 0;
+
+		if ( isFunction( value ) ) {
+			return this.each( function( j ) {
+				jQuery( this ).removeClass( value.call( this, j, getClass( this ) ) );
+			} );
+		}
+
+		if ( !arguments.length ) {
+			return this.attr( "class", "" );
+		}
+
+		classes = classesToArray( value );
+
+		if ( classes.length ) {
+			while ( ( elem = this[ i++ ] ) ) {
+				curValue = getClass( elem );
+
+				// This expression is here for better compressibility (see addClass)
+				cur = elem.nodeType === 1 && ( " " + stripAndCollapse( curValue ) + " " );
+
+				if ( cur ) {
+					j = 0;
+					while ( ( clazz = classes[ j++ ] ) ) {
+
+						// Remove *all* instances
+						while ( cur.indexOf( " " + clazz + " " ) > -1 ) {
+							cur = cur.replace( " " + clazz + " ", " " );
+						}
+					}
+
+					// Only assign if different to avoid unneeded rendering.
+					finalValue = stripAndCollapse( cur );
+					if ( curValue !== finalValue ) {
+						elem.setAttribute( "class", finalValue );
+					}
+				}
+			}
+		}
+
+		return this;
+	},
+
+	toggleClass: function( value, stateVal ) {
+		var type = typeof value,
+			isValidValue = type === "string" || Array.isArray( value );
+
+		if ( typeof stateVal === "boolean" && isValidValue ) {
+			return stateVal ? this.addClass( value ) : this.removeClass( value );
+		}
+
+		if ( isFunction( value ) ) {
+			return this.each( function( i ) {
+				jQuery( this ).toggleClass(
+					value.call( this, i, getClass( this ), stateVal ),
+					stateVal
+				);
+			} );
+		}
+
+		return this.each( function() {
+			var className, i, self, classNames;
+
+			if ( isValidValue ) {
+
+				// Toggle individual class names
+				i = 0;
+				self = jQuery( this );
+				classNames = classesToArray( value );
+
+				while ( ( className = classNames[ i++ ] ) ) {
+
+					// Check each className given, space separated list
+					if ( self.hasClass( className ) ) {
+						self.removeClass( className );
+					} else {
+						self.addClass( className );
+					}
+				}
+
+			// Toggle whole class name
+			} else if ( value === undefined || type === "boolean" ) {
+				className = getClass( this );
+				if ( className ) {
+
+					// Store className if set
+					dataPriv.set( this, "__className__", className );
+				}
+
+				// If the element has a class name or if we're passed `false`,
+				// then remove the whole classname (if there was one, the above saved it).
+				// Otherwise bring back whatever was previously saved (if anything),
+				// falling back to the empty string if nothing was stored.
+				if ( this.setAttribute ) {
+					this.setAttribute( "class",
+						className || value === false ?
+							"" :
+							dataPriv.get( this, "__className__" ) || ""
+					);
+				}
+			}
+		} );
+	},
+
+	hasClass: function( selector ) {
+		var className, elem,
+			i = 0;
+
+		className = " " + selector + " ";
+		while ( ( elem = this[ i++ ] ) ) {
+			if ( elem.nodeType === 1 &&
+				( " " + stripAndCollapse( getClass( elem ) ) + " " ).indexOf( className ) > -1 ) {
+				return true;
+			}
+		}
+
+		return false;
+	}
+} );
+
+
+
+
+var rreturn = /\r/g;
+
+jQuery.fn.extend( {
+	val: function( value ) {
+		var hooks, ret, valueIsFunction,
+			elem = this[ 0 ];
+
+		if ( !arguments.length ) {
+			if ( elem ) {
+				hooks = jQuery.valHooks[ elem.type ] ||
+					jQuery.valHooks[ elem.nodeName.toLowerCase() ];
+
+				if ( hooks &&
+					"get" in hooks &&
+					( ret = hooks.get( elem, "value" ) ) !== undefined
+				) {
+					return ret;
+				}
+
+				ret = elem.value;
+
+				// Handle most common string cases
+				if ( typeof ret === "string" ) {
+					return ret.replace( rreturn, "" );
+				}
+
+				// Handle cases where value is null/undef or number
+				return ret == null ? "" : ret;
+			}
+
+			return;
+		}
+
+		valueIsFunction = isFunction( value );
+
+		return this.each( function( i ) {
+			var val;
+
+			if ( this.nodeType !== 1 ) {
+				return;
+			}
+
+			if ( valueIsFunction ) {
+				val = value.call( this, i, jQuery( this ).val() );
+			} else {
+				val = value;
+			}
+
+			// Treat null/undefined as ""; convert numbers to string
+			if ( val == null ) {
+				val = "";
+
+			} else if ( typeof val === "number" ) {
+				val += "";
+
+			} else if ( Array.isArray( val ) ) {
+				val = jQuery.map( val, function( value ) {
+					return value == null ? "" : value + "";
+				} );
+			}
+
+			hooks = jQuery.valHooks[ this.type ] || jQuery.valHooks[ this.nodeName.toLowerCase() ];
+
+			// If set returns undefined, fall back to normal setting
+			if ( !hooks || !( "set" in hooks ) || hooks.set( this, val, "value" ) === undefined ) {
+				this.value = val;
+			}
+		} );
+	}
+} );
+
+jQuery.extend( {
+	valHooks: {
+		option: {
+			get: function( elem ) {
+
+				var val = jQuery.find.attr( elem, "value" );
+				return val != null ?
+					val :
+
+					// Support: IE <=10 - 11 only
+					// option.text throws exceptions (#14686, #14858)
+					// Strip and collapse whitespace
+					// https://html.spec.whatwg.org/#strip-and-collapse-whitespace
+					stripAndCollapse( jQuery.text( elem ) );
+			}
+		},
+		select: {
+			get: function( elem ) {
+				var value, option, i,
+					options = elem.options,
+					index = elem.selectedIndex,
+					one = elem.type === "select-one",
+					values = one ? null : [],
+					max = one ? index + 1 : options.length;
+
+				if ( index < 0 ) {
+					i = max;
+
+				} else {
+					i = one ? index : 0;
+				}
+
+				// Loop through all the selected options
+				for ( ; i < max; i++ ) {
+					option = options[ i ];
+
+					// Support: IE <=9 only
+					// IE8-9 doesn't update selected after form reset (#2551)
+					if ( ( option.selected || i === index ) &&
+
+							// Don't return options that are disabled or in a disabled optgroup
+							!option.disabled &&
+							( !option.parentNode.disabled ||
+								!nodeName( option.parentNode, "optgroup" ) ) ) {
+
+						// Get the specific value for the option
+						value = jQuery( option ).val();
+
+						// We don't need an array for one selects
+						if ( one ) {
+							return value;
+						}
+
+						// Multi-Selects return an array
+						values.push( value );
+					}
+				}
+
+				return values;
+			},
+
+			set: function( elem, value ) {
+				var optionSet, option,
+					options = elem.options,
+					values = jQuery.makeArray( value ),
+					i = options.length;
+
+				while ( i-- ) {
+					option = options[ i ];
+
+					/* eslint-disable no-cond-assign */
+
+					if ( option.selected =
+						jQuery.inArray( jQuery.valHooks.option.get( option ), values ) > -1
+					) {
+						optionSet = true;
+					}
+
+					/* eslint-enable no-cond-assign */
+				}
+
+				// Force browsers to behave consistently when non-matching value is set
+				if ( !optionSet ) {
+					elem.selectedIndex = -1;
+				}
+				return values;
+			}
+		}
+	}
+} );
+
+// Radios and checkboxes getter/setter
+jQuery.each( [ "radio", "checkbox" ], function() {
+	jQuery.valHooks[ this ] = {
+		set: function( elem, value ) {
+			if ( Array.isArray( value ) ) {
+				return ( elem.checked = jQuery.inArray( jQuery( elem ).val(), value ) > -1 );
+			}
+		}
+	};
+	if ( !support.checkOn ) {
+		jQuery.valHooks[ this ].get = function( elem ) {
+			return elem.getAttribute( "value" ) === null ? "on" : elem.value;
+		};
+	}
+} );
+
+
+
+
+// Return jQuery for attributes-only inclusion
+
+
+support.focusin = "onfocusin" in window;
+
+
+var rfocusMorph = /^(?:focusinfocus|focusoutblur)$/,
+	stopPropagationCallback = function( e ) {
+		e.stopPropagation();
+	};
+
+jQuery.extend( jQuery.event, {
+
+	trigger: function( event, data, elem, onlyHandlers ) {
+
+		var i, cur, tmp, bubbleType, ontype, handle, special, lastElement,
+			eventPath = [ elem || document ],
+			type = hasOwn.call( event, "type" ) ? event.type : event,
+			namespaces = hasOwn.call( event, "namespace" ) ? event.namespace.split( "." ) : [];
+
+		cur = lastElement = tmp = elem = elem || document;
+
+		// Don't do events on text and comment nodes
+		if ( elem.nodeType === 3 || elem.nodeType === 8 ) {
+			return;
+		}
+
+		// focus/blur morphs to focusin/out; ensure we're not firing them right now
+		if ( rfocusMorph.test( type + jQuery.event.triggered ) ) {
+			return;
+		}
+
+		if ( type.indexOf( "." ) > -1 ) {
+
+			// Namespaced trigger; create a regexp to match event type in handle()
+			namespaces = type.split( "." );
+			type = namespaces.shift();
+			namespaces.sort();
+		}
+		ontype = type.indexOf( ":" ) < 0 && "on" + type;
+
+		// Caller can pass in a jQuery.Event object, Object, or just an event type string
+		event = event[ jQuery.expando ] ?
+			event :
+			new jQuery.Event( type, typeof event === "object" && event );
+
+		// Trigger bitmask: & 1 for native handlers; & 2 for jQuery (always true)
+		event.isTrigger = onlyHandlers ? 2 : 3;
+		event.namespace = namespaces.join( "." );
+		event.rnamespace = event.namespace ?
+			new RegExp( "(^|\\.)" + namespaces.join( "\\.(?:.*\\.|)" ) + "(\\.|$)" ) :
+			null;
+
+		// Clean up the event in case it is being reused
+		event.result = undefined;
+		if ( !event.target ) {
+			event.target = elem;
+		}
+
+		// Clone any incoming data and prepend the event, creating the handler arg list
+		data = data == null ?
+			[ event ] :
+			jQuery.makeArray( data, [ event ] );
+
+		// Allow special events to draw outside the lines
+		special = jQuery.event.special[ type ] || {};
+		if ( !onlyHandlers && special.trigger && special.trigger.apply( elem, data ) === false ) {
+			return;
+		}
+
+		// Determine event propagation path in advance, per W3C events spec (#9951)
+		// Bubble up to document, then to window; watch for a global ownerDocument var (#9724)
+		if ( !onlyHandlers && !special.noBubble && !isWindow( elem ) ) {
+
+			bubbleType = special.delegateType || type;
+			if ( !rfocusMorph.test( bubbleType + type ) ) {
+				cur = cur.parentNode;
+			}
+			for ( ; cur; cur = cur.parentNode ) {
+				eventPath.push( cur );
+				tmp = cur;
+			}
+
+			// Only add window if we got to document (e.g., not plain obj or detached DOM)
+			if ( tmp === ( elem.ownerDocument || document ) ) {
+				eventPath.push( tmp.defaultView || tmp.parentWindow || window );
+			}
+		}
+
+		// Fire handlers on the event path
+		i = 0;
+		while ( ( cur = eventPath[ i++ ] ) && !event.isPropagationStopped() ) {
+			lastElement = cur;
+			event.type = i > 1 ?
+				bubbleType :
+				special.bindType || type;
+
+			// jQuery handler
+			handle = ( dataPriv.get( cur, "events" ) || Object.create( null ) )[ event.type ] &&
+				dataPriv.get( cur, "handle" );
+			if ( handle ) {
+				handle.apply( cur, data );
+			}
+
+			// Native handler
+			handle = ontype && cur[ ontype ];
+			if ( handle && handle.apply && acceptData( cur ) ) {
+				event.result = handle.apply( cur, data );
+				if ( event.result === false ) {
+					event.preventDefault();
+				}
+			}
+		}
+		event.type = type;
+
+		// If nobody prevented the default action, do it now
+		if ( !onlyHandlers && !event.isDefaultPrevented() ) {
+
+			if ( ( !special._default ||
+				special._default.apply( eventPath.pop(), data ) === false ) &&
+				acceptData( elem ) ) {
+
+				// Call a native DOM method on the target with the same name as the event.
+				// Don't do default actions on window, that's where global variables be (#6170)
+				if ( ontype && isFunction( elem[ type ] ) && !isWindow( elem ) ) {
+
+					// Don't re-trigger an onFOO event when we call its FOO() method
+					tmp = elem[ ontype ];
+
+					if ( tmp ) {
+						elem[ ontype ] = null;
+					}
+
+					// Prevent re-triggering of the same event, since we already bubbled it above
+					jQuery.event.triggered = type;
+
+					if ( event.isPropagationStopped() ) {
+						lastElement.addEventListener( type, stopPropagationCallback );
+					}
+
+					elem[ type ]();
+
+					if ( event.isPropagationStopped() ) {
+						lastElement.removeEventListener( type, stopPropagationCallback );
+					}
+
+					jQuery.event.triggered = undefined;
+
+					if ( tmp ) {
+						elem[ ontype ] = tmp;
+					}
+				}
+			}
+		}
+
+		return event.result;
+	},
+
+	// Piggyback on a donor event to simulate a different one
+	// Used only for `focus(in | out)` events
+	simulate: function( type, elem, event ) {
+		var e = jQuery.extend(
+			new jQuery.Event(),
+			event,
+			{
+				type: type,
+				isSimulated: true
+			}
+		);
+
+		jQuery.event.trigger( e, null, elem );
+	}
+
+} );
+
+jQuery.fn.extend( {
+
+	trigger: function( type, data ) {
+		return this.each( function() {
+			jQuery.event.trigger( type, data, this );
+		} );
+	},
+	triggerHandler: function( type, data ) {
+		var elem = this[ 0 ];
+		if ( elem ) {
+			return jQuery.event.trigger( type, data, elem, true );
+		}
+	}
+} );
+
+
+// Support: Firefox <=44
+// Firefox doesn't have focus(in | out) events
+// Related ticket - https://bugzilla.mozilla.org/show_bug.cgi?id=687787
+//
+// Support: Chrome <=48 - 49, Safari <=9.0 - 9.1
+// focus(in | out) events fire after focus & blur events,
+// which is spec violation - http://www.w3.org/TR/DOM-Level-3-Events/#events-focusevent-event-order
+// Related ticket - https://bugs.chromium.org/p/chromium/issues/detail?id=449857
+if ( !support.focusin ) {
+	jQuery.each( { focus: "focusin", blur: "focusout" }, function( orig, fix ) {
+
+		// Attach a single capturing handler on the document while someone wants focusin/focusout
+		var handler = function( event ) {
+			jQuery.event.simulate( fix, event.target, jQuery.event.fix( event ) );
+		};
+
+		jQuery.event.special[ fix ] = {
+			setup: function() {
+
+				// Handle: regular nodes (via `this.ownerDocument`), window
+				// (via `this.document`) & document (via `this`).
+				var doc = this.ownerDocument || this.document || this,
+					attaches = dataPriv.access( doc, fix );
+
+				if ( !attaches ) {
+					doc.addEventListener( orig, handler, true );
+				}
+				dataPriv.access( doc, fix, ( attaches || 0 ) + 1 );
+			},
+			teardown: function() {
+				var doc = this.ownerDocument || this.document || this,
+					attaches = dataPriv.access( doc, fix ) - 1;
+
+				if ( !attaches ) {
+					doc.removeEventListener( orig, handler, true );
+					dataPriv.remove( doc, fix );
+
+				} else {
+					dataPriv.access( doc, fix, attaches );
+				}
+			}
+		};
+	} );
+}
+var location = window.location;
+
+var nonce = { guid: Date.now() };
+
+var rquery = ( /\?/ );
+
+
+
+// Cross-browser xml parsing
+jQuery.parseXML = function( data ) {
+	var xml, parserErrorElem;
+	if ( !data || typeof data !== "string" ) {
+		return null;
+	}
+
+	// Support: IE 9 - 11 only
+	// IE throws on parseFromString with invalid input.
+	try {
+		xml = ( new window.DOMParser() ).parseFromString( data, "text/xml" );
+	} catch ( e ) {}
+
+	parserErrorElem = xml && xml.getElementsByTagName( "parsererror" )[ 0 ];
+	if ( !xml || parserErrorElem ) {
+		jQuery.error( "Invalid XML: " + (
+			parserErrorElem ?
+				jQuery.map( parserErrorElem.childNodes, function( el ) {
+					return el.textContent;
+				} ).join( "\n" ) :
+				data
+		) );
+	}
+	return xml;
+};
+
+
+var
+	rbracket = /\[\]$/,
+	rCRLF = /\r?\n/g,
+	rsubmitterTypes = /^(?:submit|button|image|reset|file)$/i,
+	rsubmittable = /^(?:input|select|textarea|keygen)/i;
+
+function buildParams( prefix, obj, traditional, add ) {
+	var name;
+
+	if ( Array.isArray( obj ) ) {
+
+		// Serialize array item.
+		jQuery.each( obj, function( i, v ) {
+			if ( traditional || rbracket.test( prefix ) ) {
+
+				// Treat each array item as a scalar.
+				add( prefix, v );
+
+			} else {
+
+				// Item is non-scalar (array or object), encode its numeric index.
+				buildParams(
+					prefix + "[" + ( typeof v === "object" && v != null ? i : "" ) + "]",
+					v,
+					traditional,
+					add
+				);
+			}
+		} );
+
+	} else if ( !traditional && toType( obj ) === "object" ) {
+
+		// Serialize object item.
+		for ( name in obj ) {
+			buildParams( prefix + "[" + name + "]", obj[ name ], traditional, add );
+		}
+
+	} else {
+
+		// Serialize scalar item.
+		add( prefix, obj );
+	}
+}
+
+// Serialize an array of form elements or a set of
+// key/values into a query string
+jQuery.param = function( a, traditional ) {
+	var prefix,
+		s = [],
+		add = function( key, valueOrFunction ) {
+
+			// If value is a function, invoke it and use its return value
+			var value = isFunction( valueOrFunction ) ?
+				valueOrFunction() :
+				valueOrFunction;
+
+			s[ s.length ] = encodeURIComponent( key ) + "=" +
+				encodeURIComponent( value == null ? "" : value );
+		};
+
+	if ( a == null ) {
+		return "";
+	}
+
+	// If an array was passed in, assume that it is an array of form elements.
+	if ( Array.isArray( a ) || ( a.jquery && !jQuery.isPlainObject( a ) ) ) {
+
+		// Serialize the form elements
+		jQuery.each( a, function() {
+			add( this.name, this.value );
+		} );
+
+	} else {
+
+		// If traditional, encode the "old" way (the way 1.3.2 or older
+		// did it), otherwise encode params recursively.
+		for ( prefix in a ) {
+			buildParams( prefix, a[ prefix ], traditional, add );
+		}
+	}
+
+	// Return the resulting serialization
+	return s.join( "&" );
+};
+
+jQuery.fn.extend( {
+	serialize: function() {
+		return jQuery.param( this.serializeArray() );
+	},
+	serializeArray: function() {
+		return this.map( function() {
+
+			// Can add propHook for "elements" to filter or add form elements
+			var elements = jQuery.prop( this, "elements" );
+			return elements ? jQuery.makeArray( elements ) : this;
+		} ).filter( function() {
+			var type = this.type;
+
+			// Use .is( ":disabled" ) so that fieldset[disabled] works
+			return this.name && !jQuery( this ).is( ":disabled" ) &&
+				rsubmittable.test( this.nodeName ) && !rsubmitterTypes.test( type ) &&
+				( this.checked || !rcheckableType.test( type ) );
+		} ).map( function( _i, elem ) {
+			var val = jQuery( this ).val();
+
+			if ( val == null ) {
+				return null;
+			}
+
+			if ( Array.isArray( val ) ) {
+				return jQuery.map( val, function( val ) {
+					return { name: elem.name, value: val.replace( rCRLF, "\r\n" ) };
+				} );
+			}
+
+			return { name: elem.name, value: val.replace( rCRLF, "\r\n" ) };
+		} ).get();
+	}
+} );
+
+
+var
+	r20 = /%20/g,
+	rhash = /#.*$/,
+	rantiCache = /([?&])_=[^&]*/,
+	rheaders = /^(.*?):[ \t]*([^\r\n]*)$/mg,
+
+	// #7653, #8125, #8152: local protocol detection
+	rlocalProtocol = /^(?:about|app|app-storage|.+-extension|file|res|widget):$/,
+	rnoContent = /^(?:GET|HEAD)$/,
+	rprotocol = /^\/\//,
+
+	/* Prefilters
+	 * 1) They are useful to introduce custom dataTypes (see ajax/jsonp.js for an example)
+	 * 2) These are called:
+	 *    - BEFORE asking for a transport
+	 *    - AFTER param serialization (s.data is a string if s.processData is true)
+	 * 3) key is the dataType
+	 * 4) the catchall symbol "*" can be used
+	 * 5) execution will start with transport dataType and THEN continue down to "*" if needed
+	 */
+	prefilters = {},
+
+	/* Transports bindings
+	 * 1) key is the dataType
+	 * 2) the catchall symbol "*" can be used
+	 * 3) selection will start with transport dataType and THEN go to "*" if needed
+	 */
+	transports = {},
+
+	// Avoid comment-prolog char sequence (#10098); must appease lint and evade compression
+	allTypes = "*/".concat( "*" ),
+
+	// Anchor tag for parsing the document origin
+	originAnchor = document.createElement( "a" );
+
+originAnchor.href = location.href;
+
+// Base "constructor" for jQuery.ajaxPrefilter and jQuery.ajaxTransport
+function addToPrefiltersOrTransports( structure ) {
+
+	// dataTypeExpression is optional and defaults to "*"
+	return function( dataTypeExpression, func ) {
+
+		if ( typeof dataTypeExpression !== "string" ) {
+			func = dataTypeExpression;
+			dataTypeExpression = "*";
+		}
+
+		var dataType,
+			i = 0,
+			dataTypes = dataTypeExpression.toLowerCase().match( rnothtmlwhite ) || [];
+
+		if ( isFunction( func ) ) {
+
+			// For each dataType in the dataTypeExpression
+			while ( ( dataType = dataTypes[ i++ ] ) ) {
+
+				// Prepend if requested
+				if ( dataType[ 0 ] === "+" ) {
+					dataType = dataType.slice( 1 ) || "*";
+					( structure[ dataType ] = structure[ dataType ] || [] ).unshift( func );
+
+				// Otherwise append
+				} else {
+					( structure[ dataType ] = structure[ dataType ] || [] ).push( func );
+				}
+			}
+		}
+	};
+}
+
+// Base inspection function for prefilters and transports
+function inspectPrefiltersOrTransports( structure, options, originalOptions, jqXHR ) {
+
+	var inspected = {},
+		seekingTransport = ( structure === transports );
+
+	function inspect( dataType ) {
+		var selected;
+		inspected[ dataType ] = true;
+		jQuery.each( structure[ dataType ] || [], function( _, prefilterOrFactory ) {
+			var dataTypeOrTransport = prefilterOrFactory( options, originalOptions, jqXHR );
+			if ( typeof dataTypeOrTransport === "string" &&
+				!seekingTransport && !inspected[ dataTypeOrTransport ] ) {
+
+				options.dataTypes.unshift( dataTypeOrTransport );
+				inspect( dataTypeOrTransport );
+				return false;
+			} else if ( seekingTransport ) {
+				return !( selected = dataTypeOrTransport );
+			}
+		} );
+		return selected;
+	}
+
+	return inspect( options.dataTypes[ 0 ] ) || !inspected[ "*" ] && inspect( "*" );
+}
+
+// A special extend for ajax options
+// that takes "flat" options (not to be deep extended)
+// Fixes #9887
+function ajaxExtend( target, src ) {
+	var key, deep,
+		flatOptions = jQuery.ajaxSettings.flatOptions || {};
+
+	for ( key in src ) {
+		if ( src[ key ] !== undefined ) {
+			( flatOptions[ key ] ? target : ( deep || ( deep = {} ) ) )[ key ] = src[ key ];
+		}
+	}
+	if ( deep ) {
+		jQuery.extend( true, target, deep );
+	}
+
+	return target;
+}
+
+/* Handles responses to an ajax request:
+ * - finds the right dataType (mediates between content-type and expected dataType)
+ * - returns the corresponding response
+ */
+function ajaxHandleResponses( s, jqXHR, responses ) {
+
+	var ct, type, finalDataType, firstDataType,
+		contents = s.contents,
+		dataTypes = s.dataTypes;
+
+	// Remove auto dataType and get content-type in the process
+	while ( dataTypes[ 0 ] === "*" ) {
+		dataTypes.shift();
+		if ( ct === undefined ) {
+			ct = s.mimeType || jqXHR.getResponseHeader( "Content-Type" );
+		}
+	}
+
+	// Check if we're dealing with a known content-type
+	if ( ct ) {
+		for ( type in contents ) {
+			if ( contents[ type ] && contents[ type ].test( ct ) ) {
+				dataTypes.unshift( type );
+				break;
+			}
+		}
+	}
+
+	// Check to see if we have a response for the expected dataType
+	if ( dataTypes[ 0 ] in responses ) {
+		finalDataType = dataTypes[ 0 ];
+	} else {
+
+		// Try convertible dataTypes
+		for ( type in responses ) {
+			if ( !dataTypes[ 0 ] || s.converters[ type + " " + dataTypes[ 0 ] ] ) {
+				finalDataType = type;
+				break;
+			}
+			if ( !firstDataType ) {
+				firstDataType = type;
+			}
+		}
+
+		// Or just use first one
+		finalDataType = finalDataType || firstDataType;
+	}
+
+	// If we found a dataType
+	// We add the dataType to the list if needed
+	// and return the corresponding response
+	if ( finalDataType ) {
+		if ( finalDataType !== dataTypes[ 0 ] ) {
+			dataTypes.unshift( finalDataType );
+		}
+		return responses[ finalDataType ];
+	}
+}
+
+/* Chain conversions given the request and the original response
+ * Also sets the responseXXX fields on the jqXHR instance
+ */
+function ajaxConvert( s, response, jqXHR, isSuccess ) {
+	var conv2, current, conv, tmp, prev,
+		converters = {},
+
+		// Work with a copy of dataTypes in case we need to modify it for conversion
+		dataTypes = s.dataTypes.slice();
+
+	// Create converters map with lowercased keys
+	if ( dataTypes[ 1 ] ) {
+		for ( conv in s.converters ) {
+			converters[ conv.toLowerCase() ] = s.converters[ conv ];
+		}
+	}
+
+	current = dataTypes.shift();
+
+	// Convert to each sequential dataType
+	while ( current ) {
+
+		if ( s.responseFields[ current ] ) {
+			jqXHR[ s.responseFields[ current ] ] = response;
+		}
+
+		// Apply the dataFilter if provided
+		if ( !prev && isSuccess && s.dataFilter ) {
+			response = s.dataFilter( response, s.dataType );
+		}
+
+		prev = current;
+		current = dataTypes.shift();
+
+		if ( current ) {
+
+			// There's only work to do if current dataType is non-auto
+			if ( current === "*" ) {
+
+				current = prev;
+
+			// Convert response if prev dataType is non-auto and differs from current
+			} else if ( prev !== "*" && prev !== current ) {
+
+				// Seek a direct converter
+				conv = converters[ prev + " " + current ] || converters[ "* " + current ];
+
+				// If none found, seek a pair
+				if ( !conv ) {
+					for ( conv2 in converters ) {
+
+						// If conv2 outputs current
+						tmp = conv2.split( " " );
+						if ( tmp[ 1 ] === current ) {
+
+							// If prev can be converted to accepted input
+							conv = converters[ prev + " " + tmp[ 0 ] ] ||
+								converters[ "* " + tmp[ 0 ] ];
+							if ( conv ) {
+
+								// Condense equivalence converters
+								if ( conv === true ) {
+									conv = converters[ conv2 ];
+
+								// Otherwise, insert the intermediate dataType
+								} else if ( converters[ conv2 ] !== true ) {
+									current = tmp[ 0 ];
+									dataTypes.unshift( tmp[ 1 ] );
+								}
+								break;
+							}
+						}
+					}
+				}
+
+				// Apply converter (if not an equivalence)
+				if ( conv !== true ) {
+
+					// Unless errors are allowed to bubble, catch and return them
+					if ( conv && s.throws ) {
+						response = conv( response );
+					} else {
+						try {
+							response = conv( response );
+						} catch ( e ) {
+							return {
+								state: "parsererror",
+								error: conv ? e : "No conversion from " + prev + " to " + current
+							};
+						}
+					}
+				}
+			}
+		}
+	}
+
+	return { state: "success", data: response };
+}
+
+jQuery.extend( {
+
+	// Counter for holding the number of active queries
+	active: 0,
+
+	// Last-Modified header cache for next request
+	lastModified: {},
+	etag: {},
+
+	ajaxSettings: {
+		url: location.href,
+		type: "GET",
+		isLocal: rlocalProtocol.test( location.protocol ),
+		global: true,
+		processData: true,
+		async: true,
+		contentType: "application/x-www-form-urlencoded; charset=UTF-8",
+
+		/*
+		timeout: 0,
+		data: null,
+		dataType: null,
+		username: null,
+		password: null,
+		cache: null,
+		throws: false,
+		traditional: false,
+		headers: {},
+		*/
+
+		accepts: {
+			"*": allTypes,
+			text: "text/plain",
+			html: "text/html",
+			xml: "application/xml, text/xml",
+			json: "application/json, text/javascript"
+		},
+
+		contents: {
+			xml: /\bxml\b/,
+			html: /\bhtml/,
+			json: /\bjson\b/
+		},
+
+		responseFields: {
+			xml: "responseXML",
+			text: "responseText",
+			json: "responseJSON"
+		},
+
+		// Data converters
+		// Keys separate source (or catchall "*") and destination types with a single space
+		converters: {
+
+			// Convert anything to text
+			"* text": String,
+
+			// Text to html (true = no transformation)
+			"text html": true,
+
+			// Evaluate text as a json expression
+			"text json": JSON.parse,
+
+			// Parse text as xml
+			"text xml": jQuery.parseXML
+		},
+
+		// For options that shouldn't be deep extended:
+		// you can add your own custom options here if
+		// and when you create one that shouldn't be
+		// deep extended (see ajaxExtend)
+		flatOptions: {
+			url: true,
+			context: true
+		}
+	},
+
+	// Creates a full fledged settings object into target
+	// with both ajaxSettings and settings fields.
+	// If target is omitted, writes into ajaxSettings.
+	ajaxSetup: function( target, settings ) {
+		return settings ?
+
+			// Building a settings object
+			ajaxExtend( ajaxExtend( target, jQuery.ajaxSettings ), settings ) :
+
+			// Extending ajaxSettings
+			ajaxExtend( jQuery.ajaxSettings, target );
+	},
+
+	ajaxPrefilter: addToPrefiltersOrTransports( prefilters ),
+	ajaxTransport: addToPrefiltersOrTransports( transports ),
+
+	// Main method
+	ajax: function( url, options ) {
+
+		// If url is an object, simulate pre-1.5 signature
+		if ( typeof url === "object" ) {
+			options = url;
+			url = undefined;
+		}
+
+		// Force options to be an object
+		options = options || {};
+
+		var transport,
+
+			// URL without anti-cache param
+			cacheURL,
+
+			// Response headers
+			responseHeadersString,
+			responseHeaders,
+
+			// timeout handle
+			timeoutTimer,
+
+			// Url cleanup var
+			urlAnchor,
+
+			// Request state (becomes false upon send and true upon completion)
+			completed,
+
+			// To know if global events are to be dispatched
+			fireGlobals,
+
+			// Loop variable
+			i,
+
+			// uncached part of the url
+			uncached,
+
+			// Create the final options object
+			s = jQuery.ajaxSetup( {}, options ),
+
+			// Callbacks context
+			callbackContext = s.context || s,
+
+			// Context for global events is callbackContext if it is a DOM node or jQuery collection
+			globalEventContext = s.context &&
+				( callbackContext.nodeType || callbackContext.jquery ) ?
+				jQuery( callbackContext ) :
+				jQuery.event,
+
+			// Deferreds
+			deferred = jQuery.Deferred(),
+			completeDeferred = jQuery.Callbacks( "once memory" ),
+
+			// Status-dependent callbacks
+			statusCode = s.statusCode || {},
+
+			// Headers (they are sent all at once)
+			requestHeaders = {},
+			requestHeadersNames = {},
+
+			// Default abort message
+			strAbort = "canceled",
+
+			// Fake xhr
+			jqXHR = {
+				readyState: 0,
+
+				// Builds headers hashtable if needed
+				getResponseHeader: function( key ) {
+					var match;
+					if ( completed ) {
+						if ( !responseHeaders ) {
+							responseHeaders = {};
+							while ( ( match = rheaders.exec( responseHeadersString ) ) ) {
+								responseHeaders[ match[ 1 ].toLowerCase() + " " ] =
+									( responseHeaders[ match[ 1 ].toLowerCase() + " " ] || [] )
+										.concat( match[ 2 ] );
+							}
+						}
+						match = responseHeaders[ key.toLowerCase() + " " ];
+					}
+					return match == null ? null : match.join( ", " );
+				},
+
+				// Raw string
+				getAllResponseHeaders: function() {
+					return completed ? responseHeadersString : null;
+				},
+
+				// Caches the header
+				setRequestHeader: function( name, value ) {
+					if ( completed == null ) {
+						name = requestHeadersNames[ name.toLowerCase() ] =
+							requestHeadersNames[ name.toLowerCase() ] || name;
+						requestHeaders[ name ] = value;
+					}
+					return this;
+				},
+
+				// Overrides response content-type header
+				overrideMimeType: function( type ) {
+					if ( completed == null ) {
+						s.mimeType = type;
+					}
+					return this;
+				},
+
+				// Status-dependent callbacks
+				statusCode: function( map ) {
+					var code;
+					if ( map ) {
+						if ( completed ) {
+
+							// Execute the appropriate callbacks
+							jqXHR.always( map[ jqXHR.status ] );
+						} else {
+
+							// Lazy-add the new callbacks in a way that preserves old ones
+							for ( code in map ) {
+								statusCode[ code ] = [ statusCode[ code ], map[ code ] ];
+							}
+						}
+					}
+					return this;
+				},
+
+				// Cancel the request
+				abort: function( statusText ) {
+					var finalText = statusText || strAbort;
+					if ( transport ) {
+						transport.abort( finalText );
+					}
+					done( 0, finalText );
+					return this;
+				}
+			};
+
+		// Attach deferreds
+		deferred.promise( jqXHR );
+
+		// Add protocol if not provided (prefilters might expect it)
+		// Handle falsy url in the settings object (#10093: consistency with old signature)
+		// We also use the url parameter if available
+		s.url = ( ( url || s.url || location.href ) + "" )
+			.replace( rprotocol, location.protocol + "//" );
+
+		// Alias method option to type as per ticket #12004
+		s.type = options.method || options.type || s.method || s.type;
+
+		// Extract dataTypes list
+		s.dataTypes = ( s.dataType || "*" ).toLowerCase().match( rnothtmlwhite ) || [ "" ];
+
+		// A cross-domain request is in order when the origin doesn't match the current origin.
+		if ( s.crossDomain == null ) {
+			urlAnchor = document.createElement( "a" );
+
+			// Support: IE <=8 - 11, Edge 12 - 15
+			// IE throws exception on accessing the href property if url is malformed,
+			// e.g. http://example.com:80x/
+			try {
+				urlAnchor.href = s.url;
+
+				// Support: IE <=8 - 11 only
+				// Anchor's host property isn't correctly set when s.url is relative
+				urlAnchor.href = urlAnchor.href;
+				s.crossDomain = originAnchor.protocol + "//" + originAnchor.host !==
+					urlAnchor.protocol + "//" + urlAnchor.host;
+			} catch ( e ) {
+
+				// If there is an error parsing the URL, assume it is crossDomain,
+				// it can be rejected by the transport if it is invalid
+				s.crossDomain = true;
+			}
+		}
+
+		// Convert data if not already a string
+		if ( s.data && s.processData && typeof s.data !== "string" ) {
+			s.data = jQuery.param( s.data, s.traditional );
+		}
+
+		// Apply prefilters
+		inspectPrefiltersOrTransports( prefilters, s, options, jqXHR );
+
+		// If request was aborted inside a prefilter, stop there
+		if ( completed ) {
+			return jqXHR;
+		}
+
+		// We can fire global events as of now if asked to
+		// Don't fire events if jQuery.event is undefined in an AMD-usage scenario (#15118)
+		fireGlobals = jQuery.event && s.global;
+
+		// Watch for a new set of requests
+		if ( fireGlobals && jQuery.active++ === 0 ) {
+			jQuery.event.trigger( "ajaxStart" );
+		}
+
+		// Uppercase the type
+		s.type = s.type.toUpperCase();
+
+		// Determine if request has content
+		s.hasContent = !rnoContent.test( s.type );
+
+		// Save the URL in case we're toying with the If-Modified-Since
+		// and/or If-None-Match header later on
+		// Remove hash to simplify url manipulation
+		cacheURL = s.url.replace( rhash, "" );
+
+		// More options handling for requests with no content
+		if ( !s.hasContent ) {
+
+			// Remember the hash so we can put it back
+			uncached = s.url.slice( cacheURL.length );
+
+			// If data is available and should be processed, append data to url
+			if ( s.data && ( s.processData || typeof s.data === "string" ) ) {
+				cacheURL += ( rquery.test( cacheURL ) ? "&" : "?" ) + s.data;
+
+				// #9682: remove data so that it's not used in an eventual retry
+				delete s.data;
+			}
+
+			// Add or update anti-cache param if needed
+			if ( s.cache === false ) {
+				cacheURL = cacheURL.replace( rantiCache, "$1" );
+				uncached = ( rquery.test( cacheURL ) ? "&" : "?" ) + "_=" + ( nonce.guid++ ) +
+					uncached;
+			}
+
+			// Put hash and anti-cache on the URL that will be requested (gh-1732)
+			s.url = cacheURL + uncached;
+
+		// Change '%20' to '+' if this is encoded form body content (gh-2658)
+		} else if ( s.data && s.processData &&
+			( s.contentType || "" ).indexOf( "application/x-www-form-urlencoded" ) === 0 ) {
+			s.data = s.data.replace( r20, "+" );
+		}
+
+		// Set the If-Modified-Since and/or If-None-Match header, if in ifModified mode.
+		if ( s.ifModified ) {
+			if ( jQuery.lastModified[ cacheURL ] ) {
+				jqXHR.setRequestHeader( "If-Modified-Since", jQuery.lastModified[ cacheURL ] );
+			}
+			if ( jQuery.etag[ cacheURL ] ) {
+				jqXHR.setRequestHeader( "If-None-Match", jQuery.etag[ cacheURL ] );
+			}
+		}
+
+		// Set the correct header, if data is being sent
+		if ( s.data && s.hasContent && s.contentType !== false || options.contentType ) {
+			jqXHR.setRequestHeader( "Content-Type", s.contentType );
+		}
+
+		// Set the Accepts header for the server, depending on the dataType
+		jqXHR.setRequestHeader(
+			"Accept",
+			s.dataTypes[ 0 ] && s.accepts[ s.dataTypes[ 0 ] ] ?
+				s.accepts[ s.dataTypes[ 0 ] ] +
+					( s.dataTypes[ 0 ] !== "*" ? ", " + allTypes + "; q=0.01" : "" ) :
+				s.accepts[ "*" ]
+		);
+
+		// Check for headers option
+		for ( i in s.headers ) {
+			jqXHR.setRequestHeader( i, s.headers[ i ] );
+		}
+
+		// Allow custom headers/mimetypes and early abort
+		if ( s.beforeSend &&
+			( s.beforeSend.call( callbackContext, jqXHR, s ) === false || completed ) ) {
+
+			// Abort if not done already and return
+			return jqXHR.abort();
+		}
+
+		// Aborting is no longer a cancellation
+		strAbort = "abort";
+
+		// Install callbacks on deferreds
+		completeDeferred.add( s.complete );
+		jqXHR.done( s.success );
+		jqXHR.fail( s.error );
+
+		// Get transport
+		transport = inspectPrefiltersOrTransports( transports, s, options, jqXHR );
+
+		// If no transport, we auto-abort
+		if ( !transport ) {
+			done( -1, "No Transport" );
+		} else {
+			jqXHR.readyState = 1;
+
+			// Send global event
+			if ( fireGlobals ) {
+				globalEventContext.trigger( "ajaxSend", [ jqXHR, s ] );
+			}
+
+			// If request was aborted inside ajaxSend, stop there
+			if ( completed ) {
+				return jqXHR;
+			}
+
+			// Timeout
+			if ( s.async && s.timeout > 0 ) {
+				timeoutTimer = window.setTimeout( function() {
+					jqXHR.abort( "timeout" );
+				}, s.timeout );
+			}
+
+			try {
+				completed = false;
+				transport.send( requestHeaders, done );
+			} catch ( e ) {
+
+				// Rethrow post-completion exceptions
+				if ( completed ) {
+					throw e;
+				}
+
+				// Propagate others as results
+				done( -1, e );
+			}
+		}
+
+		// Callback for when everything is done
+		function done( status, nativeStatusText, responses, headers ) {
+			var isSuccess, success, error, response, modified,
+				statusText = nativeStatusText;
+
+			// Ignore repeat invocations
+			if ( completed ) {
+				return;
+			}
+
+			completed = true;
+
+			// Clear timeout if it exists
+			if ( timeoutTimer ) {
+				window.clearTimeout( timeoutTimer );
+			}
+
+			// Dereference transport for early garbage collection
+			// (no matter how long the jqXHR object will be used)
+			transport = undefined;
+
+			// Cache response headers
+			responseHeadersString = headers || "";
+
+			// Set readyState
+			jqXHR.readyState = status > 0 ? 4 : 0;
+
+			// Determine if successful
+			isSuccess = status >= 200 && status < 300 || status === 304;
+
+			// Get response data
+			if ( responses ) {
+				response = ajaxHandleResponses( s, jqXHR, responses );
+			}
+
+			// Use a noop converter for missing script but not if jsonp
+			if ( !isSuccess &&
+				jQuery.inArray( "script", s.dataTypes ) > -1 &&
+				jQuery.inArray( "json", s.dataTypes ) < 0 ) {
+				s.converters[ "text script" ] = function() {};
+			}
+
+			// Convert no matter what (that way responseXXX fields are always set)
+			response = ajaxConvert( s, response, jqXHR, isSuccess );
+
+			// If successful, handle type chaining
+			if ( isSuccess ) {
+
+				// Set the If-Modified-Since and/or If-None-Match header, if in ifModified mode.
+				if ( s.ifModified ) {
+					modified = jqXHR.getResponseHeader( "Last-Modified" );
+					if ( modified ) {
+						jQuery.lastModified[ cacheURL ] = modified;
+					}
+					modified = jqXHR.getResponseHeader( "etag" );
+					if ( modified ) {
+						jQuery.etag[ cacheURL ] = modified;
+					}
+				}
+
+				// if no content
+				if ( status === 204 || s.type === "HEAD" ) {
+					statusText = "nocontent";
+
+				// if not modified
+				} else if ( status === 304 ) {
+					statusText = "notmodified";
+
+				// If we have data, let's convert it
+				} else {
+					statusText = response.state;
+					success = response.data;
+					error = response.error;
+					isSuccess = !error;
+				}
+			} else {
+
+				// Extract error from statusText and normalize for non-aborts
+				error = statusText;
+				if ( status || !statusText ) {
+					statusText = "error";
+					if ( status < 0 ) {
+						status = 0;
+					}
+				}
+			}
+
+			// Set data for the fake xhr object
+			jqXHR.status = status;
+			jqXHR.statusText = ( nativeStatusText || statusText ) + "";
+
+			// Success/Error
+			if ( isSuccess ) {
+				deferred.resolveWith( callbackContext, [ success, statusText, jqXHR ] );
+			} else {
+				deferred.rejectWith( callbackContext, [ jqXHR, statusText, error ] );
+			}
+
+			// Status-dependent callbacks
+			jqXHR.statusCode( statusCode );
+			statusCode = undefined;
+
+			if ( fireGlobals ) {
+				globalEventContext.trigger( isSuccess ? "ajaxSuccess" : "ajaxError",
+					[ jqXHR, s, isSuccess ? success : error ] );
+			}
+
+			// Complete
+			completeDeferred.fireWith( callbackContext, [ jqXHR, statusText ] );
+
+			if ( fireGlobals ) {
+				globalEventContext.trigger( "ajaxComplete", [ jqXHR, s ] );
+
+				// Handle the global AJAX counter
+				if ( !( --jQuery.active ) ) {
+					jQuery.event.trigger( "ajaxStop" );
+				}
+			}
+		}
+
+		return jqXHR;
+	},
+
+	getJSON: function( url, data, callback ) {
+		return jQuery.get( url, data, callback, "json" );
+	},
+
+	getScript: function( url, callback ) {
+		return jQuery.get( url, undefined, callback, "script" );
+	}
+} );
+
+jQuery.each( [ "get", "post" ], function( _i, method ) {
+	jQuery[ method ] = function( url, data, callback, type ) {
+
+		// Shift arguments if data argument was omitted
+		if ( isFunction( data ) ) {
+			type = type || callback;
+			callback = data;
+			data = undefined;
+		}
+
+		// The url can be an options object (which then must have .url)
+		return jQuery.ajax( jQuery.extend( {
+			url: url,
+			type: method,
+			dataType: type,
+			data: data,
+			success: callback
+		}, jQuery.isPlainObject( url ) && url ) );
+	};
+} );
+
+jQuery.ajaxPrefilter( function( s ) {
+	var i;
+	for ( i in s.headers ) {
+		if ( i.toLowerCase() === "content-type" ) {
+			s.contentType = s.headers[ i ] || "";
+		}
+	}
+} );
+
+
+jQuery._evalUrl = function( url, options, doc ) {
+	return jQuery.ajax( {
+		url: url,
+
+		// Make this explicit, since user can override this through ajaxSetup (#11264)
+		type: "GET",
+		dataType: "script",
+		cache: true,
+		async: false,
+		global: false,
+
+		// Only evaluate the response if it is successful (gh-4126)
+		// dataFilter is not invoked for failure responses, so using it instead
+		// of the default converter is kludgy but it works.
+		converters: {
+			"text script": function() {}
+		},
+		dataFilter: function( response ) {
+			jQuery.globalEval( response, options, doc );
+		}
+	} );
+};
+
+
+jQuery.fn.extend( {
+	wrapAll: function( html ) {
+		var wrap;
+
+		if ( this[ 0 ] ) {
+			if ( isFunction( html ) ) {
+				html = html.call( this[ 0 ] );
+			}
+
+			// The elements to wrap the target around
+			wrap = jQuery( html, this[ 0 ].ownerDocument ).eq( 0 ).clone( true );
+
+			if ( this[ 0 ].parentNode ) {
+				wrap.insertBefore( this[ 0 ] );
+			}
+
+			wrap.map( function() {
+				var elem = this;
+
+				while ( elem.firstElementChild ) {
+					elem = elem.firstElementChild;
+				}
+
+				return elem;
+			} ).append( this );
+		}
+
+		return this;
+	},
+
+	wrapInner: function( html ) {
+		if ( isFunction( html ) ) {
+			return this.each( function( i ) {
+				jQuery( this ).wrapInner( html.call( this, i ) );
+			} );
+		}
+
+		return this.each( function() {
+			var self = jQuery( this ),
+				contents = self.contents();
+
+			if ( contents.length ) {
+				contents.wrapAll( html );
+
+			} else {
+				self.append( html );
+			}
+		} );
+	},
+
+	wrap: function( html ) {
+		var htmlIsFunction = isFunction( html );
+
+		return this.each( function( i ) {
+			jQuery( this ).wrapAll( htmlIsFunction ? html.call( this, i ) : html );
+		} );
+	},
+
+	unwrap: function( selector ) {
+		this.parent( selector ).not( "body" ).each( function() {
+			jQuery( this ).replaceWith( this.childNodes );
+		} );
+		return this;
+	}
+} );
+
+
+jQuery.expr.pseudos.hidden = function( elem ) {
+	return !jQuery.expr.pseudos.visible( elem );
+};
+jQuery.expr.pseudos.visible = function( elem ) {
+	return !!( elem.offsetWidth || elem.offsetHeight || elem.getClientRects().length );
+};
+
+
+
+
+jQuery.ajaxSettings.xhr = function() {
+	try {
+		return new window.XMLHttpRequest();
+	} catch ( e ) {}
+};
+
+var xhrSuccessStatus = {
+
+		// File protocol always yields status code 0, assume 200
+		0: 200,
+
+		// Support: IE <=9 only
+		// #1450: sometimes IE returns 1223 when it should be 204
+		1223: 204
+	},
+	xhrSupported = jQuery.ajaxSettings.xhr();
+
+support.cors = !!xhrSupported && ( "withCredentials" in xhrSupported );
+support.ajax = xhrSupported = !!xhrSupported;
+
+jQuery.ajaxTransport( function( options ) {
+	var callback, errorCallback;
+
+	// Cross domain only allowed if supported through XMLHttpRequest
+	if ( support.cors || xhrSupported && !options.crossDomain ) {
+		return {
+			send: function( headers, complete ) {
+				var i,
+					xhr = options.xhr();
+
+				xhr.open(
+					options.type,
+					options.url,
+					options.async,
+					options.username,
+					options.password
+				);
+
+				// Apply custom fields if provided
+				if ( options.xhrFields ) {
+					for ( i in options.xhrFields ) {
+						xhr[ i ] = options.xhrFields[ i ];
+					}
+				}
+
+				// Override mime type if needed
+				if ( options.mimeType && xhr.overrideMimeType ) {
+					xhr.overrideMimeType( options.mimeType );
+				}
+
+				// X-Requested-With header
+				// For cross-domain requests, seeing as conditions for a preflight are
+				// akin to a jigsaw puzzle, we simply never set it to be sure.
+				// (it can always be set on a per-request basis or even using ajaxSetup)
+				// For same-domain requests, won't change header if already provided.
+				if ( !options.crossDomain && !headers[ "X-Requested-With" ] ) {
+					headers[ "X-Requested-With" ] = "XMLHttpRequest";
+				}
+
+				// Set headers
+				for ( i in headers ) {
+					xhr.setRequestHeader( i, headers[ i ] );
+				}
+
+				// Callback
+				callback = function( type ) {
+					return function() {
+						if ( callback ) {
+							callback = errorCallback = xhr.onload =
+								xhr.onerror = xhr.onabort = xhr.ontimeout =
+									xhr.onreadystatechange = null;
+
+							if ( type === "abort" ) {
+								xhr.abort();
+							} else if ( type === "error" ) {
+
+								// Support: IE <=9 only
+								// On a manual native abort, IE9 throws
+								// errors on any property access that is not readyState
+								if ( typeof xhr.status !== "number" ) {
+									complete( 0, "error" );
+								} else {
+									complete(
+
+										// File: protocol always yields status 0; see #8605, #14207
+										xhr.status,
+										xhr.statusText
+									);
+								}
+							} else {
+								complete(
+									xhrSuccessStatus[ xhr.status ] || xhr.status,
+									xhr.statusText,
+
+									// Support: IE <=9 only
+									// IE9 has no XHR2 but throws on binary (trac-11426)
+									// For XHR2 non-text, let the caller handle it (gh-2498)
+									( xhr.responseType || "text" ) !== "text"  ||
+									typeof xhr.responseText !== "string" ?
+										{ binary: xhr.response } :
+										{ text: xhr.responseText },
+									xhr.getAllResponseHeaders()
+								);
+							}
+						}
+					};
+				};
+
+				// Listen to events
+				xhr.onload = callback();
+				errorCallback = xhr.onerror = xhr.ontimeout = callback( "error" );
+
+				// Support: IE 9 only
+				// Use onreadystatechange to replace onabort
+				// to handle uncaught aborts
+				if ( xhr.onabort !== undefined ) {
+					xhr.onabort = errorCallback;
+				} else {
+					xhr.onreadystatechange = function() {
+
+						// Check readyState before timeout as it changes
+						if ( xhr.readyState === 4 ) {
+
+							// Allow onerror to be called first,
+							// but that will not handle a native abort
+							// Also, save errorCallback to a variable
+							// as xhr.onerror cannot be accessed
+							window.setTimeout( function() {
+								if ( callback ) {
+									errorCallback();
+								}
+							} );
+						}
+					};
+				}
+
+				// Create the abort callback
+				callback = callback( "abort" );
+
+				try {
+
+					// Do send the request (this may raise an exception)
+					xhr.send( options.hasContent && options.data || null );
+				} catch ( e ) {
+
+					// #14683: Only rethrow if this hasn't been notified as an error yet
+					if ( callback ) {
+						throw e;
+					}
+				}
+			},
+
+			abort: function() {
+				if ( callback ) {
+					callback();
+				}
+			}
+		};
+	}
+} );
+
+
+
+
+// Prevent auto-execution of scripts when no explicit dataType was provided (See gh-2432)
+jQuery.ajaxPrefilter( function( s ) {
+	if ( s.crossDomain ) {
+		s.contents.script = false;
+	}
+} );
+
+// Install script dataType
+jQuery.ajaxSetup( {
+	accepts: {
+		script: "text/javascript, application/javascript, " +
+			"application/ecmascript, application/x-ecmascript"
+	},
+	contents: {
+		script: /\b(?:java|ecma)script\b/
+	},
+	converters: {
+		"text script": function( text ) {
+			jQuery.globalEval( text );
+			return text;
+		}
+	}
+} );
+
+// Handle cache's special case and crossDomain
+jQuery.ajaxPrefilter( "script", function( s ) {
+	if ( s.cache === undefined ) {
+		s.cache = false;
+	}
+	if ( s.crossDomain ) {
+		s.type = "GET";
+	}
+} );
+
+// Bind script tag hack transport
+jQuery.ajaxTransport( "script", function( s ) {
+
+	// This transport only deals with cross domain or forced-by-attrs requests
+	if ( s.crossDomain || s.scriptAttrs ) {
+		var script, callback;
+		return {
+			send: function( _, complete ) {
+				script = jQuery( "<script>" )
+					.attr( s.scriptAttrs || {} )
+					.prop( { charset: s.scriptCharset, src: s.url } )
+					.on( "load error", callback = function( evt ) {
+						script.remove();
+						callback = null;
+						if ( evt ) {
+							complete( evt.type === "error" ? 404 : 200, evt.type );
+						}
+					} );
+
+				// Use native DOM manipulation to avoid our domManip AJAX trickery
+				document.head.appendChild( script[ 0 ] );
+			},
+			abort: function() {
+				if ( callback ) {
+					callback();
+				}
+			}
+		};
+	}
+} );
+
+
+
+
+var oldCallbacks = [],
+	rjsonp = /(=)\?(?=&|$)|\?\?/;
+
+// Default jsonp settings
+jQuery.ajaxSetup( {
+	jsonp: "callback",
+	jsonpCallback: function() {
+		var callback = oldCallbacks.pop() || ( jQuery.expando + "_" + ( nonce.guid++ ) );
+		this[ callback ] = true;
+		return callback;
+	}
+} );
+
+// Detect, normalize options and install callbacks for jsonp requests
+jQuery.ajaxPrefilter( "json jsonp", function( s, originalSettings, jqXHR ) {
+
+	var callbackName, overwritten, responseContainer,
+		jsonProp = s.jsonp !== false && ( rjsonp.test( s.url ) ?
+			"url" :
+			typeof s.data === "string" &&
+				( s.contentType || "" )
+					.indexOf( "application/x-www-form-urlencoded" ) === 0 &&
+				rjsonp.test( s.data ) && "data"
+		);
+
+	// Handle iff the expected data type is "jsonp" or we have a parameter to set
+	if ( jsonProp || s.dataTypes[ 0 ] === "jsonp" ) {
+
+		// Get callback name, remembering preexisting value associated with it
+		callbackName = s.jsonpCallback = isFunction( s.jsonpCallback ) ?
+			s.jsonpCallback() :
+			s.jsonpCallback;
+
+		// Insert callback into url or form data
+		if ( jsonProp ) {
+			s[ jsonProp ] = s[ jsonProp ].replace( rjsonp, "$1" + callbackName );
+		} else if ( s.jsonp !== false ) {
+			s.url += ( rquery.test( s.url ) ? "&" : "?" ) + s.jsonp + "=" + callbackName;
+		}
+
+		// Use data converter to retrieve json after script execution
+		s.converters[ "script json" ] = function() {
+			if ( !responseContainer ) {
+				jQuery.error( callbackName + " was not called" );
+			}
+			return responseContainer[ 0 ];
+		};
+
+		// Force json dataType
+		s.dataTypes[ 0 ] = "json";
+
+		// Install callback
+		overwritten = window[ callbackName ];
+		window[ callbackName ] = function() {
+			responseContainer = arguments;
+		};
+
+		// Clean-up function (fires after converters)
+		jqXHR.always( function() {
+
+			// If previous value didn't exist - remove it
+			if ( overwritten === undefined ) {
+				jQuery( window ).removeProp( callbackName );
+
+			// Otherwise restore preexisting value
+			} else {
+				window[ callbackName ] = overwritten;
+			}
+
+			// Save back as free
+			if ( s[ callbackName ] ) {
+
+				// Make sure that re-using the options doesn't screw things around
+				s.jsonpCallback = originalSettings.jsonpCallback;
+
+				// Save the callback name for future use
+				oldCallbacks.push( callbackName );
+			}
+
+			// Call if it was a function and we have a response
+			if ( responseContainer && isFunction( overwritten ) ) {
+				overwritten( responseContainer[ 0 ] );
+			}
+
+			responseContainer = overwritten = undefined;
+		} );
+
+		// Delegate to script
+		return "script";
+	}
+} );
+
+
+
+
+// Support: Safari 8 only
+// In Safari 8 documents created via document.implementation.createHTMLDocument
+// collapse sibling forms: the second one becomes a child of the first one.
+// Because of that, this security measure has to be disabled in Safari 8.
+// https://bugs.webkit.org/show_bug.cgi?id=137337
+support.createHTMLDocument = ( function() {
+	var body = document.implementation.createHTMLDocument( "" ).body;
+	body.innerHTML = "<form></form><form></form>";
+	return body.childNodes.length === 2;
+} )();
+
+
+// Argument "data" should be string of html
+// context (optional): If specified, the fragment will be created in this context,
+// defaults to document
+// keepScripts (optional): If true, will include scripts passed in the html string
+jQuery.parseHTML = function( data, context, keepScripts ) {
+	if ( typeof data !== "string" ) {
+		return [];
+	}
+	if ( typeof context === "boolean" ) {
+		keepScripts = context;
+		context = false;
+	}
+
+	var base, parsed, scripts;
+
+	if ( !context ) {
+
+		// Stop scripts or inline event handlers from being executed immediately
+		// by using document.implementation
+		if ( support.createHTMLDocument ) {
+			context = document.implementation.createHTMLDocument( "" );
+
+			// Set the base href for the created document
+			// so any parsed elements with URLs
+			// are based on the document's URL (gh-2965)
+			base = context.createElement( "base" );
+			base.href = document.location.href;
+			context.head.appendChild( base );
+		} else {
+			context = document;
+		}
+	}
+
+	parsed = rsingleTag.exec( data );
+	scripts = !keepScripts && [];
+
+	// Single tag
+	if ( parsed ) {
+		return [ context.createElement( parsed[ 1 ] ) ];
+	}
+
+	parsed = buildFragment( [ data ], context, scripts );
+
+	if ( scripts && scripts.length ) {
+		jQuery( scripts ).remove();
+	}
+
+	return jQuery.merge( [], parsed.childNodes );
+};
+
+
+/**
+ * Load a url into a page
+ */
+jQuery.fn.load = function( url, params, callback ) {
+	var selector, type, response,
+		self = this,
+		off = url.indexOf( " " );
+
+	if ( off > -1 ) {
+		selector = stripAndCollapse( url.slice( off ) );
+		url = url.slice( 0, off );
+	}
+
+	// If it's a function
+	if ( isFunction( params ) ) {
+
+		// We assume that it's the callback
+		callback = params;
+		params = undefined;
+
+	// Otherwise, build a param string
+	} else if ( params && typeof params === "object" ) {
+		type = "POST";
+	}
+
+	// If we have elements to modify, make the request
+	if ( self.length > 0 ) {
+		jQuery.ajax( {
+			url: url,
+
+			// If "type" variable is undefined, then "GET" method will be used.
+			// Make value of this field explicit since
+			// user can override it through ajaxSetup method
+			type: type || "GET",
+			dataType: "html",
+			data: params
+		} ).done( function( responseText ) {
+
+			// Save response for use in complete callback
+			response = arguments;
+
+			self.html( selector ?
+
+				// If a selector was specified, locate the right elements in a dummy div
+				// Exclude scripts to avoid IE 'Permission Denied' errors
+				jQuery( "<div>" ).append( jQuery.parseHTML( responseText ) ).find( selector ) :
+
+				// Otherwise use the full result
+				responseText );
+
+		// If the request succeeds, this function gets "data", "status", "jqXHR"
+		// but they are ignored because response was set above.
+		// If it fails, this function gets "jqXHR", "status", "error"
+		} ).always( callback && function( jqXHR, status ) {
+			self.each( function() {
+				callback.apply( this, response || [ jqXHR.responseText, status, jqXHR ] );
+			} );
+		} );
+	}
+
+	return this;
+};
+
+
+
+
+jQuery.expr.pseudos.animated = function( elem ) {
+	return jQuery.grep( jQuery.timers, function( fn ) {
+		return elem === fn.elem;
+	} ).length;
+};
+
+
+
+
+jQuery.offset = {
+	setOffset: function( elem, options, i ) {
+		var curPosition, curLeft, curCSSTop, curTop, curOffset, curCSSLeft, calculatePosition,
+			position = jQuery.css( elem, "position" ),
+			curElem = jQuery( elem ),
+			props = {};
+
+		// Set position first, in-case top/left are set even on static elem
+		if ( position === "static" ) {
+			elem.style.position = "relative";
+		}
+
+		curOffset = curElem.offset();
+		curCSSTop = jQuery.css( elem, "top" );
+		curCSSLeft = jQuery.css( elem, "left" );
+		calculatePosition = ( position === "absolute" || position === "fixed" ) &&
+			( curCSSTop + curCSSLeft ).indexOf( "auto" ) > -1;
+
+		// Need to be able to calculate position if either
+		// top or left is auto and position is either absolute or fixed
+		if ( calculatePosition ) {
+			curPosition = curElem.position();
+			curTop = curPosition.top;
+			curLeft = curPosition.left;
+
+		} else {
+			curTop = parseFloat( curCSSTop ) || 0;
+			curLeft = parseFloat( curCSSLeft ) || 0;
+		}
+
+		if ( isFunction( options ) ) {
+
+			// Use jQuery.extend here to allow modification of coordinates argument (gh-1848)
+			options = options.call( elem, i, jQuery.extend( {}, curOffset ) );
+		}
+
+		if ( options.top != null ) {
+			props.top = ( options.top - curOffset.top ) + curTop;
+		}
+		if ( options.left != null ) {
+			props.left = ( options.left - curOffset.left ) + curLeft;
+		}
+
+		if ( "using" in options ) {
+			options.using.call( elem, props );
+
+		} else {
+			curElem.css( props );
+		}
+	}
+};
+
+jQuery.fn.extend( {
+
+	// offset() relates an element's border box to the document origin
+	offset: function( options ) {
+
+		// Preserve chaining for setter
+		if ( arguments.length ) {
+			return options === undefined ?
+				this :
+				this.each( function( i ) {
+					jQuery.offset.setOffset( this, options, i );
+				} );
+		}
+
+		var rect, win,
+			elem = this[ 0 ];
+
+		if ( !elem ) {
+			return;
+		}
+
+		// Return zeros for disconnected and hidden (display: none) elements (gh-2310)
+		// Support: IE <=11 only
+		// Running getBoundingClientRect on a
+		// disconnected node in IE throws an error
+		if ( !elem.getClientRects().length ) {
+			return { top: 0, left: 0 };
+		}
+
+		// Get document-relative position by adding viewport scroll to viewport-relative gBCR
+		rect = elem.getBoundingClientRect();
+		win = elem.ownerDocument.defaultView;
+		return {
+			top: rect.top + win.pageYOffset,
+			left: rect.left + win.pageXOffset
+		};
+	},
+
+	// position() relates an element's margin box to its offset parent's padding box
+	// This corresponds to the behavior of CSS absolute positioning
+	position: function() {
+		if ( !this[ 0 ] ) {
+			return;
+		}
+
+		var offsetParent, offset, doc,
+			elem = this[ 0 ],
+			parentOffset = { top: 0, left: 0 };
+
+		// position:fixed elements are offset from the viewport, which itself always has zero offset
+		if ( jQuery.css( elem, "position" ) === "fixed" ) {
+
+			// Assume position:fixed implies availability of getBoundingClientRect
+			offset = elem.getBoundingClientRect();
+
+		} else {
+			offset = this.offset();
+
+			// Account for the *real* offset parent, which can be the document or its root element
+			// when a statically positioned element is identified
+			doc = elem.ownerDocument;
+			offsetParent = elem.offsetParent || doc.documentElement;
+			while ( offsetParent &&
+				( offsetParent === doc.body || offsetParent === doc.documentElement ) &&
+				jQuery.css( offsetParent, "position" ) === "static" ) {
+
+				offsetParent = offsetParent.parentNode;
+			}
+			if ( offsetParent && offsetParent !== elem && offsetParent.nodeType === 1 ) {
+
+				// Incorporate borders into its offset, since they are outside its content origin
+				parentOffset = jQuery( offsetParent ).offset();
+				parentOffset.top += jQuery.css( offsetParent, "borderTopWidth", true );
+				parentOffset.left += jQuery.css( offsetParent, "borderLeftWidth", true );
+			}
+		}
+
+		// Subtract parent offsets and element margins
+		return {
+			top: offset.top - parentOffset.top - jQuery.css( elem, "marginTop", true ),
+			left: offset.left - parentOffset.left - jQuery.css( elem, "marginLeft", true )
+		};
+	},
+
+	// This method will return documentElement in the following cases:
+	// 1) For the element inside the iframe without offsetParent, this method will return
+	//    documentElement of the parent window
+	// 2) For the hidden or detached element
+	// 3) For body or html element, i.e. in case of the html node - it will return itself
+	//
+	// but those exceptions were never presented as a real life use-cases
+	// and might be considered as more preferable results.
+	//
+	// This logic, however, is not guaranteed and can change at any point in the future
+	offsetParent: function() {
+		return this.map( function() {
+			var offsetParent = this.offsetParent;
+
+			while ( offsetParent && jQuery.css( offsetParent, "position" ) === "static" ) {
+				offsetParent = offsetParent.offsetParent;
+			}
+
+			return offsetParent || documentElement;
+		} );
+	}
+} );
+
+// Create scrollLeft and scrollTop methods
+jQuery.each( { scrollLeft: "pageXOffset", scrollTop: "pageYOffset" }, function( method, prop ) {
+	var top = "pageYOffset" === prop;
+
+	jQuery.fn[ method ] = function( val ) {
+		return access( this, function( elem, method, val ) {
+
+			// Coalesce documents and windows
+			var win;
+			if ( isWindow( elem ) ) {
+				win = elem;
+			} else if ( elem.nodeType === 9 ) {
+				win = elem.defaultView;
+			}
+
+			if ( val === undefined ) {
+				return win ? win[ prop ] : elem[ method ];
+			}
+
+			if ( win ) {
+				win.scrollTo(
+					!top ? val : win.pageXOffset,
+					top ? val : win.pageYOffset
+				);
+
+			} else {
+				elem[ method ] = val;
+			}
+		}, method, val, arguments.length );
+	};
+} );
+
+// Support: Safari <=7 - 9.1, Chrome <=37 - 49
+// Add the top/left cssHooks using jQuery.fn.position
+// Webkit bug: https://bugs.webkit.org/show_bug.cgi?id=29084
+// Blink bug: https://bugs.chromium.org/p/chromium/issues/detail?id=589347
+// getComputedStyle returns percent when specified for top/left/bottom/right;
+// rather than make the css module depend on the offset module, just check for it here
+jQuery.each( [ "top", "left" ], function( _i, prop ) {
+	jQuery.cssHooks[ prop ] = addGetHookIf( support.pixelPosition,
+		function( elem, computed ) {
+			if ( computed ) {
+				computed = curCSS( elem, prop );
+
+				// If curCSS returns percentage, fallback to offset
+				return rnumnonpx.test( computed ) ?
+					jQuery( elem ).position()[ prop ] + "px" :
+					computed;
+			}
+		}
+	);
+} );
+
+
+// Create innerHeight, innerWidth, height, width, outerHeight and outerWidth methods
+jQuery.each( { Height: "height", Width: "width" }, function( name, type ) {
+	jQuery.each( {
+		padding: "inner" + name,
+		content: type,
+		"": "outer" + name
+	}, function( defaultExtra, funcName ) {
+
+		// Margin is only for outerHeight, outerWidth
+		jQuery.fn[ funcName ] = function( margin, value ) {
+			var chainable = arguments.length && ( defaultExtra || typeof margin !== "boolean" ),
+				extra = defaultExtra || ( margin === true || value === true ? "margin" : "border" );
+
+			return access( this, function( elem, type, value ) {
+				var doc;
+
+				if ( isWindow( elem ) ) {
+
+					// $( window ).outerWidth/Height return w/h including scrollbars (gh-1729)
+					return funcName.indexOf( "outer" ) === 0 ?
+						elem[ "inner" + name ] :
+						elem.document.documentElement[ "client" + name ];
+				}
+
+				// Get document width or height
+				if ( elem.nodeType === 9 ) {
+					doc = elem.documentElement;
+
+					// Either scroll[Width/Height] or offset[Width/Height] or client[Width/Height],
+					// whichever is greatest
+					return Math.max(
+						elem.body[ "scroll" + name ], doc[ "scroll" + name ],
+						elem.body[ "offset" + name ], doc[ "offset" + name ],
+						doc[ "client" + name ]
+					);
+				}
+
+				return value === undefined ?
+
+					// Get width or height on the element, requesting but not forcing parseFloat
+					jQuery.css( elem, type, extra ) :
+
+					// Set width or height on the element
+					jQuery.style( elem, type, value, extra );
+			}, type, chainable ? margin : undefined, chainable );
+		};
+	} );
+} );
+
+
+jQuery.each( [
+	"ajaxStart",
+	"ajaxStop",
+	"ajaxComplete",
+	"ajaxError",
+	"ajaxSuccess",
+	"ajaxSend"
+], function( _i, type ) {
+	jQuery.fn[ type ] = function( fn ) {
+		return this.on( type, fn );
+	};
+} );
+
+
+
+
+jQuery.fn.extend( {
+
+	bind: function( types, data, fn ) {
+		return this.on( types, null, data, fn );
+	},
+	unbind: function( types, fn ) {
+		return this.off( types, null, fn );
+	},
+
+	delegate: function( selector, types, data, fn ) {
+		return this.on( types, selector, data, fn );
+	},
+	undelegate: function( selector, types, fn ) {
+
+		// ( namespace ) or ( selector, types [, fn] )
+		return arguments.length === 1 ?
+			this.off( selector, "**" ) :
+			this.off( types, selector || "**", fn );
+	},
+
+	hover: function( fnOver, fnOut ) {
+		return this.mouseenter( fnOver ).mouseleave( fnOut || fnOver );
+	}
+} );
+
+jQuery.each(
+	( "blur focus focusin focusout resize scroll click dblclick " +
+	"mousedown mouseup mousemove mouseover mouseout mouseenter mouseleave " +
+	"change select submit keydown keypress keyup contextmenu" ).split( " " ),
+	function( _i, name ) {
+
+		// Handle event binding
+		jQuery.fn[ name ] = function( data, fn ) {
+			return arguments.length > 0 ?
+				this.on( name, null, data, fn ) :
+				this.trigger( name );
+		};
+	}
+);
+
+
+
+
+// Support: Android <=4.0 only
+// Make sure we trim BOM and NBSP
+var rtrim = /^[\s\uFEFF\xA0]+|[\s\uFEFF\xA0]+$/g;
+
+// Bind a function to a context, optionally partially applying any
+// arguments.
+// jQuery.proxy is deprecated to promote standards (specifically Function#bind)
+// However, it is not slated for removal any time soon
+jQuery.proxy = function( fn, context ) {
+	var tmp, args, proxy;
+
+	if ( typeof context === "string" ) {
+		tmp = fn[ context ];
+		context = fn;
+		fn = tmp;
+	}
+
+	// Quick check to determine if target is callable, in the spec
+	// this throws a TypeError, but we will just return undefined.
+	if ( !isFunction( fn ) ) {
+		return undefined;
+	}
+
+	// Simulated bind
+	args = slice.call( arguments, 2 );
+	proxy = function() {
+		return fn.apply( context || this, args.concat( slice.call( arguments ) ) );
+	};
+
+	// Set the guid of unique handler to the same of original handler, so it can be removed
+	proxy.guid = fn.guid = fn.guid || jQuery.guid++;
+
+	return proxy;
+};
+
+jQuery.holdReady = function( hold ) {
+	if ( hold ) {
+		jQuery.readyWait++;
+	} else {
+		jQuery.ready( true );
+	}
+};
+jQuery.isArray = Array.isArray;
+jQuery.parseJSON = JSON.parse;
+jQuery.nodeName = nodeName;
+jQuery.isFunction = isFunction;
+jQuery.isWindow = isWindow;
+jQuery.camelCase = camelCase;
+jQuery.type = toType;
+
+jQuery.now = Date.now;
+
+jQuery.isNumeric = function( obj ) {
+
+	// As of jQuery 3.0, isNumeric is limited to
+	// strings and numbers (primitives or objects)
+	// that can be coerced to finite numbers (gh-2662)
+	var type = jQuery.type( obj );
+	return ( type === "number" || type === "string" ) &&
+
+		// parseFloat NaNs numeric-cast false positives ("")
+		// ...but misinterprets leading-number strings, particularly hex literals ("0x...")
+		// subtraction forces infinities to NaN
+		!isNaN( obj - parseFloat( obj ) );
+};
+
+jQuery.trim = function( text ) {
+	return text == null ?
+		"" :
+		( text + "" ).replace( rtrim, "" );
+};
+
+
+
+// Register as a named AMD module, since jQuery can be concatenated with other
+// files that may use define, but not via a proper concatenation script that
+// understands anonymous AMD modules. A named AMD is safest and most robust
+// way to register. Lowercase jquery is used because AMD module names are
+// derived from file names, and jQuery is normally delivered in a lowercase
+// file name. Do this after creating the global so that if an AMD module wants
+// to call noConflict to hide this version of jQuery, it will work.
+
+// Note that for maximum portability, libraries that are not jQuery should
+// declare themselves as anonymous modules, and avoid setting a global if an
+// AMD loader is present. jQuery is a special case. For more information, see
+// https://github.com/jrburke/requirejs/wiki/Updating-existing-libraries#wiki-anon
+
+if ( typeof define === "function" && define.amd ) {
+	define( "jquery", [], function() {
+		return jQuery;
+	} );
+}
+
+
+
+
+var
+
+	// Map over jQuery in case of overwrite
+	_jQuery = window.jQuery,
+
+	// Map over the $ in case of overwrite
+	_$ = window.$;
+
+jQuery.noConflict = function( deep ) {
+	if ( window.$ === jQuery ) {
+		window.$ = _$;
+	}
+
+	if ( deep && window.jQuery === jQuery ) {
+		window.jQuery = _jQuery;
+	}
+
+	return jQuery;
+};
+
+// Expose jQuery and $ identifiers, even in AMD
+// (#7102#comment:10, https://github.com/jquery/jquery/pull/557)
+// and CommonJS for browser emulators (#13566)
+if ( typeof noGlobal === "undefined" ) {
+	window.jQuery = window.$ = jQuery;
+}
+
+
+
+
+return jQuery;
+} );
diff --git a/trackpy/v0.6.2/_static/jquery.js b/trackpy/v0.6.2/_static/jquery.js
new file mode 100644
index 00000000..c4c6022f
--- /dev/null
+++ b/trackpy/v0.6.2/_static/jquery.js
@@ -0,0 +1,2 @@
+/*! jQuery v3.6.0 | (c) OpenJS Foundation and other contributors | jquery.org/license */
+!function(e,t){"use strict";"object"==typeof module&&"object"==typeof module.exports?module.exports=e.document?t(e,!0):function(e){if(!e.document)throw new Error("jQuery requires a window with a document");return t(e)}:t(e)}("undefined"!=typeof window?window:this,function(C,e){"use strict";var t=[],r=Object.getPrototypeOf,s=t.slice,g=t.flat?function(e){return t.flat.call(e)}:function(e){return t.concat.apply([],e)},u=t.push,i=t.indexOf,n={},o=n.toString,v=n.hasOwnProperty,a=v.toString,l=a.call(Object),y={},m=function(e){return"function"==typeof e&&"number"!=typeof e.nodeType&&"function"!=typeof e.item},x=function(e){return null!=e&&e===e.window},E=C.document,c={type:!0,src:!0,nonce:!0,noModule:!0};function b(e,t,n){var r,i,o=(n=n||E).createElement("script");if(o.text=e,t)for(r in c)(i=t[r]||t.getAttribute&&t.getAttribute(r))&&o.setAttribute(r,i);n.head.appendChild(o).parentNode.removeChild(o)}function w(e){return null==e?e+"":"object"==typeof e||"function"==typeof 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diff --git a/trackpy/v0.6.2/_static/js/jquery-fix.js b/trackpy/v0.6.2/_static/js/jquery-fix.js
new file mode 100644
index 00000000..a30ca53d
--- /dev/null
+++ b/trackpy/v0.6.2/_static/js/jquery-fix.js
@@ -0,0 +1,2 @@
+// No Conflict in later (our) version of jQuery
+window.$jqTheme = jQuery.noConflict(true);
\ No newline at end of file
diff --git a/trackpy/v0.6.2/_static/language_data.js b/trackpy/v0.6.2/_static/language_data.js
new file mode 100644
index 00000000..2e22b06a
--- /dev/null
+++ b/trackpy/v0.6.2/_static/language_data.js
@@ -0,0 +1,199 @@
+/*
+ * language_data.js
+ * ~~~~~~~~~~~~~~~~
+ *
+ * This script contains the language-specific data used by searchtools.js,
+ * namely the list of stopwords, stemmer, scorer and splitter.
+ *
+ * :copyright: Copyright 2007-2022 by the Sphinx team, see AUTHORS.
+ * :license: BSD, see LICENSE for details.
+ *
+ */
+
+var stopwords = ["a", "and", "are", "as", "at", "be", "but", "by", "for", "if", "in", "into", "is", "it", "near", "no", "not", "of", "on", "or", "such", "that", "the", "their", "then", "there", "these", "they", "this", "to", "was", "will", "with"];
+
+
+/* Non-minified version is copied as a separate JS file, is available */
+
+/**
+ * Porter Stemmer
+ */
+var Stemmer = function() {
+
+  var step2list = {
+    ational: 'ate',
+    tional: 'tion',
+    enci: 'ence',
+    anci: 'ance',
+    izer: 'ize',
+    bli: 'ble',
+    alli: 'al',
+    entli: 'ent',
+    eli: 'e',
+    ousli: 'ous',
+    ization: 'ize',
+    ation: 'ate',
+    ator: 'ate',
+    alism: 'al',
+    iveness: 'ive',
+    fulness: 'ful',
+    ousness: 'ous',
+    aliti: 'al',
+    iviti: 'ive',
+    biliti: 'ble',
+    logi: 'log'
+  };
+
+  var step3list = {
+    icate: 'ic',
+    ative: '',
+    alize: 'al',
+    iciti: 'ic',
+    ical: 'ic',
+    ful: '',
+    ness: ''
+  };
+
+  var c = "[^aeiou]";          // consonant
+  var v = "[aeiouy]";          // vowel
+  var C = c + "[^aeiouy]*";    // consonant sequence
+  var V = v + "[aeiou]*";      // vowel sequence
+
+  var mgr0 = "^(" + C + ")?" + V + C;                      // [C]VC... is m>0
+  var meq1 = "^(" + C + ")?" + V + C + "(" + V + ")?$";    // [C]VC[V] is m=1
+  var mgr1 = "^(" + C + ")?" + V + C + V + C;              // [C]VCVC... is m>1
+  var s_v   = "^(" + C + ")?" + v;                         // vowel in stem
+
+  this.stemWord = function (w) {
+    var stem;
+    var suffix;
+    var firstch;
+    var origword = w;
+
+    if (w.length < 3)
+      return w;
+
+    var re;
+    var re2;
+    var re3;
+    var re4;
+
+    firstch = w.substr(0,1);
+    if (firstch == "y")
+      w = firstch.toUpperCase() + w.substr(1);
+
+    // Step 1a
+    re = /^(.+?)(ss|i)es$/;
+    re2 = /^(.+?)([^s])s$/;
+
+    if (re.test(w))
+      w = w.replace(re,"$1$2");
+    else if (re2.test(w))
+      w = w.replace(re2,"$1$2");
+
+    // Step 1b
+    re = /^(.+?)eed$/;
+    re2 = /^(.+?)(ed|ing)$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      re = new RegExp(mgr0);
+      if (re.test(fp[1])) {
+        re = /.$/;
+        w = w.replace(re,"");
+      }
+    }
+    else if (re2.test(w)) {
+      var fp = re2.exec(w);
+      stem = fp[1];
+      re2 = new RegExp(s_v);
+      if (re2.test(stem)) {
+        w = stem;
+        re2 = /(at|bl|iz)$/;
+        re3 = new RegExp("([^aeiouylsz])\\1$");
+        re4 = new RegExp("^" + C + v + "[^aeiouwxy]$");
+        if (re2.test(w))
+          w = w + "e";
+        else if (re3.test(w)) {
+          re = /.$/;
+          w = w.replace(re,"");
+        }
+        else if (re4.test(w))
+          w = w + "e";
+      }
+    }
+
+    // Step 1c
+    re = /^(.+?)y$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      stem = fp[1];
+      re = new RegExp(s_v);
+      if (re.test(stem))
+        w = stem + "i";
+    }
+
+    // Step 2
+    re = /^(.+?)(ational|tional|enci|anci|izer|bli|alli|entli|eli|ousli|ization|ation|ator|alism|iveness|fulness|ousness|aliti|iviti|biliti|logi)$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      stem = fp[1];
+      suffix = fp[2];
+      re = new RegExp(mgr0);
+      if (re.test(stem))
+        w = stem + step2list[suffix];
+    }
+
+    // Step 3
+    re = /^(.+?)(icate|ative|alize|iciti|ical|ful|ness)$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      stem = fp[1];
+      suffix = fp[2];
+      re = new RegExp(mgr0);
+      if (re.test(stem))
+        w = stem + step3list[suffix];
+    }
+
+    // Step 4
+    re = /^(.+?)(al|ance|ence|er|ic|able|ible|ant|ement|ment|ent|ou|ism|ate|iti|ous|ive|ize)$/;
+    re2 = /^(.+?)(s|t)(ion)$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      stem = fp[1];
+      re = new RegExp(mgr1);
+      if (re.test(stem))
+        w = stem;
+    }
+    else if (re2.test(w)) {
+      var fp = re2.exec(w);
+      stem = fp[1] + fp[2];
+      re2 = new RegExp(mgr1);
+      if (re2.test(stem))
+        w = stem;
+    }
+
+    // Step 5
+    re = /^(.+?)e$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      stem = fp[1];
+      re = new RegExp(mgr1);
+      re2 = new RegExp(meq1);
+      re3 = new RegExp("^" + C + v + "[^aeiouwxy]$");
+      if (re.test(stem) || (re2.test(stem) && !(re3.test(stem))))
+        w = stem;
+    }
+    re = /ll$/;
+    re2 = new RegExp(mgr1);
+    if (re.test(w) && re2.test(w)) {
+      re = /.$/;
+      w = w.replace(re,"");
+    }
+
+    // and turn initial Y back to y
+    if (firstch == "y")
+      w = firstch.toLowerCase() + w.substr(1);
+    return w;
+  }
+}
+
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diff --git a/trackpy/v0.6.2/_static/searchtools.js b/trackpy/v0.6.2/_static/searchtools.js
new file mode 100644
index 00000000..ac4d5861
--- /dev/null
+++ b/trackpy/v0.6.2/_static/searchtools.js
@@ -0,0 +1,531 @@
+/*
+ * searchtools.js
+ * ~~~~~~~~~~~~~~~~
+ *
+ * Sphinx JavaScript utilities for the full-text search.
+ *
+ * :copyright: Copyright 2007-2022 by the Sphinx team, see AUTHORS.
+ * :license: BSD, see LICENSE for details.
+ *
+ */
+"use strict";
+
+/**
+ * Simple result scoring code.
+ */
+if (typeof Scorer === "undefined") {
+  var Scorer = {
+    // Implement the following function to further tweak the score for each result
+    // The function takes a result array [docname, title, anchor, descr, score, filename]
+    // and returns the new score.
+    /*
+    score: result => {
+      const [docname, title, anchor, descr, score, filename] = result
+      return score
+    },
+    */
+
+    // query matches the full name of an object
+    objNameMatch: 11,
+    // or matches in the last dotted part of the object name
+    objPartialMatch: 6,
+    // Additive scores depending on the priority of the object
+    objPrio: {
+      0: 15, // used to be importantResults
+      1: 5, // used to be objectResults
+      2: -5, // used to be unimportantResults
+    },
+    //  Used when the priority is not in the mapping.
+    objPrioDefault: 0,
+
+    // query found in title
+    title: 15,
+    partialTitle: 7,
+    // query found in terms
+    term: 5,
+    partialTerm: 2,
+  };
+}
+
+const _removeChildren = (element) => {
+  while (element && element.lastChild) element.removeChild(element.lastChild);
+};
+
+/**
+ * See https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Regular_Expressions#escaping
+ */
+const _escapeRegExp = (string) =>
+  string.replace(/[.*+\-?^${}()|[\]\\]/g, "\\$&"); // $& means the whole matched string
+
+const _displayItem = (item, highlightTerms, searchTerms) => {
+  const docBuilder = DOCUMENTATION_OPTIONS.BUILDER;
+  const docUrlRoot = DOCUMENTATION_OPTIONS.URL_ROOT;
+  const docFileSuffix = DOCUMENTATION_OPTIONS.FILE_SUFFIX;
+  const docLinkSuffix = DOCUMENTATION_OPTIONS.LINK_SUFFIX;
+  const showSearchSummary = DOCUMENTATION_OPTIONS.SHOW_SEARCH_SUMMARY;
+
+  const [docName, title, anchor, descr] = item;
+
+  let listItem = document.createElement("li");
+  let requestUrl;
+  let linkUrl;
+  if (docBuilder === "dirhtml") {
+    // dirhtml builder
+    let dirname = docName + "/";
+    if (dirname.match(/\/index\/$/))
+      dirname = dirname.substring(0, dirname.length - 6);
+    else if (dirname === "index/") dirname = "";
+    requestUrl = docUrlRoot + dirname;
+    linkUrl = requestUrl;
+  } else {
+    // normal html builders
+    requestUrl = docUrlRoot + docName + docFileSuffix;
+    linkUrl = docName + docLinkSuffix;
+  }
+  const params = new URLSearchParams();
+  params.set("highlight", [...highlightTerms].join(" "));
+  let linkEl = listItem.appendChild(document.createElement("a"));
+  linkEl.href = linkUrl + "?" + params.toString() + anchor;
+  linkEl.innerHTML = title;
+  if (descr)
+    listItem.appendChild(document.createElement("span")).innerText =
+      " (" + descr + ")";
+  else if (showSearchSummary)
+    fetch(requestUrl)
+      .then((responseData) => responseData.text())
+      .then((data) => {
+        if (data)
+          listItem.appendChild(
+            Search.makeSearchSummary(data, searchTerms, highlightTerms)
+          );
+      });
+  Search.output.appendChild(listItem);
+};
+const _finishSearch = (resultCount) => {
+  Search.stopPulse();
+  Search.title.innerText = _("Search Results");
+  if (!resultCount)
+    Search.status.innerText = Documentation.gettext(
+      "Your search did not match any documents. Please make sure that all words are spelled correctly and that you've selected enough categories."
+    );
+  else
+    Search.status.innerText = _(
+      `Search finished, found ${resultCount} page(s) matching the search query.`
+    );
+};
+const _displayNextItem = (
+  results,
+  resultCount,
+  highlightTerms,
+  searchTerms
+) => {
+  // results left, load the summary and display it
+  // this is intended to be dynamic (don't sub resultsCount)
+  if (results.length) {
+    _displayItem(results.pop(), highlightTerms, searchTerms);
+    setTimeout(
+      () => _displayNextItem(results, resultCount, highlightTerms, searchTerms),
+      5
+    );
+  }
+  // search finished, update title and status message
+  else _finishSearch(resultCount);
+};
+
+/**
+ * Default splitQuery function. Can be overridden in ``sphinx.search`` with a
+ * custom function per language.
+ *
+ * The regular expression works by splitting the string on consecutive characters
+ * that are not Unicode letters, numbers, underscores, or emoji characters.
+ * This is the same as ``\W+`` in Python, preserving the surrogate pair area.
+ */
+if (typeof splitQuery === "undefined") {
+  var splitQuery = (query) => query
+      .split(/[^\p{Letter}\p{Number}_\p{Emoji_Presentation}]+/gu)
+      .filter(term => term)  // remove remaining empty strings
+}
+
+/**
+ * Search Module
+ */
+const Search = {
+  _index: null,
+  _queued_query: null,
+  _pulse_status: -1,
+
+  htmlToText: (htmlString) => {
+    const htmlElement = document
+      .createRange()
+      .createContextualFragment(htmlString);
+    _removeChildren(htmlElement.querySelectorAll(".headerlink"));
+    const docContent = htmlElement.querySelector('[role="main"]');
+    if (docContent !== undefined) return docContent.textContent;
+    console.warn(
+      "Content block not found. Sphinx search tries to obtain it via '[role=main]'. Could you check your theme or template."
+    );
+    return "";
+  },
+
+  init: () => {
+    const query = new URLSearchParams(window.location.search).get("q");
+    document
+      .querySelectorAll('input[name="q"]')
+      .forEach((el) => (el.value = query));
+    if (query) Search.performSearch(query);
+  },
+
+  loadIndex: (url) =>
+    (document.body.appendChild(document.createElement("script")).src = url),
+
+  setIndex: (index) => {
+    Search._index = index;
+    if (Search._queued_query !== null) {
+      const query = Search._queued_query;
+      Search._queued_query = null;
+      Search.query(query);
+    }
+  },
+
+  hasIndex: () => Search._index !== null,
+
+  deferQuery: (query) => (Search._queued_query = query),
+
+  stopPulse: () => (Search._pulse_status = -1),
+
+  startPulse: () => {
+    if (Search._pulse_status >= 0) return;
+
+    const pulse = () => {
+      Search._pulse_status = (Search._pulse_status + 1) % 4;
+      Search.dots.innerText = ".".repeat(Search._pulse_status);
+      if (Search._pulse_status >= 0) window.setTimeout(pulse, 500);
+    };
+    pulse();
+  },
+
+  /**
+   * perform a search for something (or wait until index is loaded)
+   */
+  performSearch: (query) => {
+    // create the required interface elements
+    const searchText = document.createElement("h2");
+    searchText.textContent = _("Searching");
+    const searchSummary = document.createElement("p");
+    searchSummary.classList.add("search-summary");
+    searchSummary.innerText = "";
+    const searchList = document.createElement("ul");
+    searchList.classList.add("search");
+
+    const out = document.getElementById("search-results");
+    Search.title = out.appendChild(searchText);
+    Search.dots = Search.title.appendChild(document.createElement("span"));
+    Search.status = out.appendChild(searchSummary);
+    Search.output = out.appendChild(searchList);
+
+    const searchProgress = document.getElementById("search-progress");
+    // Some themes don't use the search progress node
+    if (searchProgress) {
+      searchProgress.innerText = _("Preparing search...");
+    }
+    Search.startPulse();
+
+    // index already loaded, the browser was quick!
+    if (Search.hasIndex()) Search.query(query);
+    else Search.deferQuery(query);
+  },
+
+  /**
+   * execute search (requires search index to be loaded)
+   */
+  query: (query) => {
+    // stem the search terms and add them to the correct list
+    const stemmer = new Stemmer();
+    const searchTerms = new Set();
+    const excludedTerms = new Set();
+    const highlightTerms = new Set();
+    const objectTerms = new Set(splitQuery(query.toLowerCase().trim()));
+    splitQuery(query.trim()).forEach((queryTerm) => {
+      const queryTermLower = queryTerm.toLowerCase();
+
+      // maybe skip this "word"
+      // stopwords array is from language_data.js
+      if (
+        stopwords.indexOf(queryTermLower) !== -1 ||
+        queryTerm.match(/^\d+$/)
+      )
+        return;
+
+      // stem the word
+      let word = stemmer.stemWord(queryTermLower);
+      // select the correct list
+      if (word[0] === "-") excludedTerms.add(word.substr(1));
+      else {
+        searchTerms.add(word);
+        highlightTerms.add(queryTermLower);
+      }
+    });
+
+    // console.debug("SEARCH: searching for:");
+    // console.info("required: ", [...searchTerms]);
+    // console.info("excluded: ", [...excludedTerms]);
+
+    // array of [docname, title, anchor, descr, score, filename]
+    let results = [];
+    _removeChildren(document.getElementById("search-progress"));
+
+    // lookup as object
+    objectTerms.forEach((term) =>
+      results.push(...Search.performObjectSearch(term, objectTerms))
+    );
+
+    // lookup as search terms in fulltext
+    results.push(...Search.performTermsSearch(searchTerms, excludedTerms));
+
+    // let the scorer override scores with a custom scoring function
+    if (Scorer.score) results.forEach((item) => (item[4] = Scorer.score(item)));
+
+    // now sort the results by score (in opposite order of appearance, since the
+    // display function below uses pop() to retrieve items) and then
+    // alphabetically
+    results.sort((a, b) => {
+      const leftScore = a[4];
+      const rightScore = b[4];
+      if (leftScore === rightScore) {
+        // same score: sort alphabetically
+        const leftTitle = a[1].toLowerCase();
+        const rightTitle = b[1].toLowerCase();
+        if (leftTitle === rightTitle) return 0;
+        return leftTitle > rightTitle ? -1 : 1; // inverted is intentional
+      }
+      return leftScore > rightScore ? 1 : -1;
+    });
+
+    // remove duplicate search results
+    // note the reversing of results, so that in the case of duplicates, the highest-scoring entry is kept
+    let seen = new Set();
+    results = results.reverse().reduce((acc, result) => {
+      let resultStr = result.slice(0, 4).concat([result[5]]).map(v => String(v)).join(',');
+      if (!seen.has(resultStr)) {
+        acc.push(result);
+        seen.add(resultStr);
+      }
+      return acc;
+    }, []);
+
+    results = results.reverse();
+
+    // for debugging
+    //Search.lastresults = results.slice();  // a copy
+    // console.info("search results:", Search.lastresults);
+
+    // print the results
+    _displayNextItem(results, results.length, highlightTerms, searchTerms);
+  },
+
+  /**
+   * search for object names
+   */
+  performObjectSearch: (object, objectTerms) => {
+    const filenames = Search._index.filenames;
+    const docNames = Search._index.docnames;
+    const objects = Search._index.objects;
+    const objNames = Search._index.objnames;
+    const titles = Search._index.titles;
+
+    const results = [];
+
+    const objectSearchCallback = (prefix, match) => {
+      const name = match[4]
+      const fullname = (prefix ? prefix + "." : "") + name;
+      const fullnameLower = fullname.toLowerCase();
+      if (fullnameLower.indexOf(object) < 0) return;
+
+      let score = 0;
+      const parts = fullnameLower.split(".");
+
+      // check for different match types: exact matches of full name or
+      // "last name" (i.e. last dotted part)
+      if (fullnameLower === object || parts.slice(-1)[0] === object)
+        score += Scorer.objNameMatch;
+      else if (parts.slice(-1)[0].indexOf(object) > -1)
+        score += Scorer.objPartialMatch; // matches in last name
+
+      const objName = objNames[match[1]][2];
+      const title = titles[match[0]];
+
+      // If more than one term searched for, we require other words to be
+      // found in the name/title/description
+      const otherTerms = new Set(objectTerms);
+      otherTerms.delete(object);
+      if (otherTerms.size > 0) {
+        const haystack = `${prefix} ${name} ${objName} ${title}`.toLowerCase();
+        if (
+          [...otherTerms].some((otherTerm) => haystack.indexOf(otherTerm) < 0)
+        )
+          return;
+      }
+
+      let anchor = match[3];
+      if (anchor === "") anchor = fullname;
+      else if (anchor === "-") anchor = objNames[match[1]][1] + "-" + fullname;
+
+      const descr = objName + _(", in ") + title;
+
+      // add custom score for some objects according to scorer
+      if (Scorer.objPrio.hasOwnProperty(match[2]))
+        score += Scorer.objPrio[match[2]];
+      else score += Scorer.objPrioDefault;
+
+      results.push([
+        docNames[match[0]],
+        fullname,
+        "#" + anchor,
+        descr,
+        score,
+        filenames[match[0]],
+      ]);
+    };
+    Object.keys(objects).forEach((prefix) =>
+      objects[prefix].forEach((array) =>
+        objectSearchCallback(prefix, array)
+      )
+    );
+    return results;
+  },
+
+  /**
+   * search for full-text terms in the index
+   */
+  performTermsSearch: (searchTerms, excludedTerms) => {
+    // prepare search
+    const terms = Search._index.terms;
+    const titleTerms = Search._index.titleterms;
+    const docNames = Search._index.docnames;
+    const filenames = Search._index.filenames;
+    const titles = Search._index.titles;
+
+    const scoreMap = new Map();
+    const fileMap = new Map();
+
+    // perform the search on the required terms
+    searchTerms.forEach((word) => {
+      const files = [];
+      const arr = [
+        { files: terms[word], score: Scorer.term },
+        { files: titleTerms[word], score: Scorer.title },
+      ];
+      // add support for partial matches
+      if (word.length > 2) {
+        const escapedWord = _escapeRegExp(word);
+        Object.keys(terms).forEach((term) => {
+          if (term.match(escapedWord) && !terms[word])
+            arr.push({ files: terms[term], score: Scorer.partialTerm });
+        });
+        Object.keys(titleTerms).forEach((term) => {
+          if (term.match(escapedWord) && !titleTerms[word])
+            arr.push({ files: titleTerms[word], score: Scorer.partialTitle });
+        });
+      }
+
+      // no match but word was a required one
+      if (arr.every((record) => record.files === undefined)) return;
+
+      // found search word in contents
+      arr.forEach((record) => {
+        if (record.files === undefined) return;
+
+        let recordFiles = record.files;
+        if (recordFiles.length === undefined) recordFiles = [recordFiles];
+        files.push(...recordFiles);
+
+        // set score for the word in each file
+        recordFiles.forEach((file) => {
+          if (!scoreMap.has(file)) scoreMap.set(file, {});
+          scoreMap.get(file)[word] = record.score;
+        });
+      });
+
+      // create the mapping
+      files.forEach((file) => {
+        if (fileMap.has(file) && fileMap.get(file).indexOf(word) === -1)
+          fileMap.get(file).push(word);
+        else fileMap.set(file, [word]);
+      });
+    });
+
+    // now check if the files don't contain excluded terms
+    const results = [];
+    for (const [file, wordList] of fileMap) {
+      // check if all requirements are matched
+
+      // as search terms with length < 3 are discarded
+      const filteredTermCount = [...searchTerms].filter(
+        (term) => term.length > 2
+      ).length;
+      if (
+        wordList.length !== searchTerms.size &&
+        wordList.length !== filteredTermCount
+      )
+        continue;
+
+      // ensure that none of the excluded terms is in the search result
+      if (
+        [...excludedTerms].some(
+          (term) =>
+            terms[term] === file ||
+            titleTerms[term] === file ||
+            (terms[term] || []).includes(file) ||
+            (titleTerms[term] || []).includes(file)
+        )
+      )
+        break;
+
+      // select one (max) score for the file.
+      const score = Math.max(...wordList.map((w) => scoreMap.get(file)[w]));
+      // add result to the result list
+      results.push([
+        docNames[file],
+        titles[file],
+        "",
+        null,
+        score,
+        filenames[file],
+      ]);
+    }
+    return results;
+  },
+
+  /**
+   * helper function to return a node containing the
+   * search summary for a given text. keywords is a list
+   * of stemmed words, highlightWords is the list of normal, unstemmed
+   * words. the first one is used to find the occurrence, the
+   * latter for highlighting it.
+   */
+  makeSearchSummary: (htmlText, keywords, highlightWords) => {
+    const text = Search.htmlToText(htmlText).toLowerCase();
+    if (text === "") return null;
+
+    const actualStartPosition = [...keywords]
+      .map((k) => text.indexOf(k.toLowerCase()))
+      .filter((i) => i > -1)
+      .slice(-1)[0];
+    const startWithContext = Math.max(actualStartPosition - 120, 0);
+
+    const top = startWithContext === 0 ? "" : "...";
+    const tail = startWithContext + 240 < text.length ? "..." : "";
+
+    let summary = document.createElement("div");
+    summary.classList.add("context");
+    summary.innerText = top + text.substr(startWithContext, 240).trim() + tail;
+
+    highlightWords.forEach((highlightWord) =>
+      _highlightText(summary, highlightWord, "highlighted")
+    );
+
+    return summary;
+  },
+};
+
+_ready(Search.init);
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diff --git a/trackpy/v0.6.2/_static/underscore-1.13.1.js b/trackpy/v0.6.2/_static/underscore-1.13.1.js
new file mode 100644
index 00000000..ffd77af9
--- /dev/null
+++ b/trackpy/v0.6.2/_static/underscore-1.13.1.js
@@ -0,0 +1,2042 @@
+(function (global, factory) {
+  typeof exports === 'object' && typeof module !== 'undefined' ? module.exports = factory() :
+  typeof define === 'function' && define.amd ? define('underscore', factory) :
+  (global = typeof globalThis !== 'undefined' ? globalThis : global || self, (function () {
+    var current = global._;
+    var exports = global._ = factory();
+    exports.noConflict = function () { global._ = current; return exports; };
+  }()));
+}(this, (function () {
+  //     Underscore.js 1.13.1
+  //     https://underscorejs.org
+  //     (c) 2009-2021 Jeremy Ashkenas, Julian Gonggrijp, and DocumentCloud and Investigative Reporters & Editors
+  //     Underscore may be freely distributed under the MIT license.
+
+  // Current version.
+  var VERSION = '1.13.1';
+
+  // Establish the root object, `window` (`self`) in the browser, `global`
+  // on the server, or `this` in some virtual machines. We use `self`
+  // instead of `window` for `WebWorker` support.
+  var root = typeof self == 'object' && self.self === self && self ||
+            typeof global == 'object' && global.global === global && global ||
+            Function('return this')() ||
+            {};
+
+  // Save bytes in the minified (but not gzipped) version:
+  var ArrayProto = Array.prototype, ObjProto = Object.prototype;
+  var SymbolProto = typeof Symbol !== 'undefined' ? Symbol.prototype : null;
+
+  // Create quick reference variables for speed access to core prototypes.
+  var push = ArrayProto.push,
+      slice = ArrayProto.slice,
+      toString = ObjProto.toString,
+      hasOwnProperty = ObjProto.hasOwnProperty;
+
+  // Modern feature detection.
+  var supportsArrayBuffer = typeof ArrayBuffer !== 'undefined',
+      supportsDataView = typeof DataView !== 'undefined';
+
+  // All **ECMAScript 5+** native function implementations that we hope to use
+  // are declared here.
+  var nativeIsArray = Array.isArray,
+      nativeKeys = Object.keys,
+      nativeCreate = Object.create,
+      nativeIsView = supportsArrayBuffer && ArrayBuffer.isView;
+
+  // Create references to these builtin functions because we override them.
+  var _isNaN = isNaN,
+      _isFinite = isFinite;
+
+  // Keys in IE < 9 that won't be iterated by `for key in ...` and thus missed.
+  var hasEnumBug = !{toString: null}.propertyIsEnumerable('toString');
+  var nonEnumerableProps = ['valueOf', 'isPrototypeOf', 'toString',
+    'propertyIsEnumerable', 'hasOwnProperty', 'toLocaleString'];
+
+  // The largest integer that can be represented exactly.
+  var MAX_ARRAY_INDEX = Math.pow(2, 53) - 1;
+
+  // Some functions take a variable number of arguments, or a few expected
+  // arguments at the beginning and then a variable number of values to operate
+  // on. This helper accumulates all remaining arguments past the function’s
+  // argument length (or an explicit `startIndex`), into an array that becomes
+  // the last argument. Similar to ES6’s "rest parameter".
+  function restArguments(func, startIndex) {
+    startIndex = startIndex == null ? func.length - 1 : +startIndex;
+    return function() {
+      var length = Math.max(arguments.length - startIndex, 0),
+          rest = Array(length),
+          index = 0;
+      for (; index < length; index++) {
+        rest[index] = arguments[index + startIndex];
+      }
+      switch (startIndex) {
+        case 0: return func.call(this, rest);
+        case 1: return func.call(this, arguments[0], rest);
+        case 2: return func.call(this, arguments[0], arguments[1], rest);
+      }
+      var args = Array(startIndex + 1);
+      for (index = 0; index < startIndex; index++) {
+        args[index] = arguments[index];
+      }
+      args[startIndex] = rest;
+      return func.apply(this, args);
+    };
+  }
+
+  // Is a given variable an object?
+  function isObject(obj) {
+    var type = typeof obj;
+    return type === 'function' || type === 'object' && !!obj;
+  }
+
+  // Is a given value equal to null?
+  function isNull(obj) {
+    return obj === null;
+  }
+
+  // Is a given variable undefined?
+  function isUndefined(obj) {
+    return obj === void 0;
+  }
+
+  // Is a given value a boolean?
+  function isBoolean(obj) {
+    return obj === true || obj === false || toString.call(obj) === '[object Boolean]';
+  }
+
+  // Is a given value a DOM element?
+  function isElement(obj) {
+    return !!(obj && obj.nodeType === 1);
+  }
+
+  // Internal function for creating a `toString`-based type tester.
+  function tagTester(name) {
+    var tag = '[object ' + name + ']';
+    return function(obj) {
+      return toString.call(obj) === tag;
+    };
+  }
+
+  var isString = tagTester('String');
+
+  var isNumber = tagTester('Number');
+
+  var isDate = tagTester('Date');
+
+  var isRegExp = tagTester('RegExp');
+
+  var isError = tagTester('Error');
+
+  var isSymbol = tagTester('Symbol');
+
+  var isArrayBuffer = tagTester('ArrayBuffer');
+
+  var isFunction = tagTester('Function');
+
+  // Optimize `isFunction` if appropriate. Work around some `typeof` bugs in old
+  // v8, IE 11 (#1621), Safari 8 (#1929), and PhantomJS (#2236).
+  var nodelist = root.document && root.document.childNodes;
+  if (typeof /./ != 'function' && typeof Int8Array != 'object' && typeof nodelist != 'function') {
+    isFunction = function(obj) {
+      return typeof obj == 'function' || false;
+    };
+  }
+
+  var isFunction$1 = isFunction;
+
+  var hasObjectTag = tagTester('Object');
+
+  // In IE 10 - Edge 13, `DataView` has string tag `'[object Object]'`.
+  // In IE 11, the most common among them, this problem also applies to
+  // `Map`, `WeakMap` and `Set`.
+  var hasStringTagBug = (
+        supportsDataView && hasObjectTag(new DataView(new ArrayBuffer(8)))
+      ),
+      isIE11 = (typeof Map !== 'undefined' && hasObjectTag(new Map));
+
+  var isDataView = tagTester('DataView');
+
+  // In IE 10 - Edge 13, we need a different heuristic
+  // to determine whether an object is a `DataView`.
+  function ie10IsDataView(obj) {
+    return obj != null && isFunction$1(obj.getInt8) && isArrayBuffer(obj.buffer);
+  }
+
+  var isDataView$1 = (hasStringTagBug ? ie10IsDataView : isDataView);
+
+  // Is a given value an array?
+  // Delegates to ECMA5's native `Array.isArray`.
+  var isArray = nativeIsArray || tagTester('Array');
+
+  // Internal function to check whether `key` is an own property name of `obj`.
+  function has$1(obj, key) {
+    return obj != null && hasOwnProperty.call(obj, key);
+  }
+
+  var isArguments = tagTester('Arguments');
+
+  // Define a fallback version of the method in browsers (ahem, IE < 9), where
+  // there isn't any inspectable "Arguments" type.
+  (function() {
+    if (!isArguments(arguments)) {
+      isArguments = function(obj) {
+        return has$1(obj, 'callee');
+      };
+    }
+  }());
+
+  var isArguments$1 = isArguments;
+
+  // Is a given object a finite number?
+  function isFinite$1(obj) {
+    return !isSymbol(obj) && _isFinite(obj) && !isNaN(parseFloat(obj));
+  }
+
+  // Is the given value `NaN`?
+  function isNaN$1(obj) {
+    return isNumber(obj) && _isNaN(obj);
+  }
+
+  // Predicate-generating function. Often useful outside of Underscore.
+  function constant(value) {
+    return function() {
+      return value;
+    };
+  }
+
+  // Common internal logic for `isArrayLike` and `isBufferLike`.
+  function createSizePropertyCheck(getSizeProperty) {
+    return function(collection) {
+      var sizeProperty = getSizeProperty(collection);
+      return typeof sizeProperty == 'number' && sizeProperty >= 0 && sizeProperty <= MAX_ARRAY_INDEX;
+    }
+  }
+
+  // Internal helper to generate a function to obtain property `key` from `obj`.
+  function shallowProperty(key) {
+    return function(obj) {
+      return obj == null ? void 0 : obj[key];
+    };
+  }
+
+  // Internal helper to obtain the `byteLength` property of an object.
+  var getByteLength = shallowProperty('byteLength');
+
+  // Internal helper to determine whether we should spend extensive checks against
+  // `ArrayBuffer` et al.
+  var isBufferLike = createSizePropertyCheck(getByteLength);
+
+  // Is a given value a typed array?
+  var typedArrayPattern = /\[object ((I|Ui)nt(8|16|32)|Float(32|64)|Uint8Clamped|Big(I|Ui)nt64)Array\]/;
+  function isTypedArray(obj) {
+    // `ArrayBuffer.isView` is the most future-proof, so use it when available.
+    // Otherwise, fall back on the above regular expression.
+    return nativeIsView ? (nativeIsView(obj) && !isDataView$1(obj)) :
+                  isBufferLike(obj) && typedArrayPattern.test(toString.call(obj));
+  }
+
+  var isTypedArray$1 = supportsArrayBuffer ? isTypedArray : constant(false);
+
+  // Internal helper to obtain the `length` property of an object.
+  var getLength = shallowProperty('length');
+
+  // Internal helper to create a simple lookup structure.
+  // `collectNonEnumProps` used to depend on `_.contains`, but this led to
+  // circular imports. `emulatedSet` is a one-off solution that only works for
+  // arrays of strings.
+  function emulatedSet(keys) {
+    var hash = {};
+    for (var l = keys.length, i = 0; i < l; ++i) hash[keys[i]] = true;
+    return {
+      contains: function(key) { return hash[key]; },
+      push: function(key) {
+        hash[key] = true;
+        return keys.push(key);
+      }
+    };
+  }
+
+  // Internal helper. Checks `keys` for the presence of keys in IE < 9 that won't
+  // be iterated by `for key in ...` and thus missed. Extends `keys` in place if
+  // needed.
+  function collectNonEnumProps(obj, keys) {
+    keys = emulatedSet(keys);
+    var nonEnumIdx = nonEnumerableProps.length;
+    var constructor = obj.constructor;
+    var proto = isFunction$1(constructor) && constructor.prototype || ObjProto;
+
+    // Constructor is a special case.
+    var prop = 'constructor';
+    if (has$1(obj, prop) && !keys.contains(prop)) keys.push(prop);
+
+    while (nonEnumIdx--) {
+      prop = nonEnumerableProps[nonEnumIdx];
+      if (prop in obj && obj[prop] !== proto[prop] && !keys.contains(prop)) {
+        keys.push(prop);
+      }
+    }
+  }
+
+  // Retrieve the names of an object's own properties.
+  // Delegates to **ECMAScript 5**'s native `Object.keys`.
+  function keys(obj) {
+    if (!isObject(obj)) return [];
+    if (nativeKeys) return nativeKeys(obj);
+    var keys = [];
+    for (var key in obj) if (has$1(obj, key)) keys.push(key);
+    // Ahem, IE < 9.
+    if (hasEnumBug) collectNonEnumProps(obj, keys);
+    return keys;
+  }
+
+  // Is a given array, string, or object empty?
+  // An "empty" object has no enumerable own-properties.
+  function isEmpty(obj) {
+    if (obj == null) return true;
+    // Skip the more expensive `toString`-based type checks if `obj` has no
+    // `.length`.
+    var length = getLength(obj);
+    if (typeof length == 'number' && (
+      isArray(obj) || isString(obj) || isArguments$1(obj)
+    )) return length === 0;
+    return getLength(keys(obj)) === 0;
+  }
+
+  // Returns whether an object has a given set of `key:value` pairs.
+  function isMatch(object, attrs) {
+    var _keys = keys(attrs), length = _keys.length;
+    if (object == null) return !length;
+    var obj = Object(object);
+    for (var i = 0; i < length; i++) {
+      var key = _keys[i];
+      if (attrs[key] !== obj[key] || !(key in obj)) return false;
+    }
+    return true;
+  }
+
+  // If Underscore is called as a function, it returns a wrapped object that can
+  // be used OO-style. This wrapper holds altered versions of all functions added
+  // through `_.mixin`. Wrapped objects may be chained.
+  function _$1(obj) {
+    if (obj instanceof _$1) return obj;
+    if (!(this instanceof _$1)) return new _$1(obj);
+    this._wrapped = obj;
+  }
+
+  _$1.VERSION = VERSION;
+
+  // Extracts the result from a wrapped and chained object.
+  _$1.prototype.value = function() {
+    return this._wrapped;
+  };
+
+  // Provide unwrapping proxies for some methods used in engine operations
+  // such as arithmetic and JSON stringification.
+  _$1.prototype.valueOf = _$1.prototype.toJSON = _$1.prototype.value;
+
+  _$1.prototype.toString = function() {
+    return String(this._wrapped);
+  };
+
+  // Internal function to wrap or shallow-copy an ArrayBuffer,
+  // typed array or DataView to a new view, reusing the buffer.
+  function toBufferView(bufferSource) {
+    return new Uint8Array(
+      bufferSource.buffer || bufferSource,
+      bufferSource.byteOffset || 0,
+      getByteLength(bufferSource)
+    );
+  }
+
+  // We use this string twice, so give it a name for minification.
+  var tagDataView = '[object DataView]';
+
+  // Internal recursive comparison function for `_.isEqual`.
+  function eq(a, b, aStack, bStack) {
+    // Identical objects are equal. `0 === -0`, but they aren't identical.
+    // See the [Harmony `egal` proposal](https://wiki.ecmascript.org/doku.php?id=harmony:egal).
+    if (a === b) return a !== 0 || 1 / a === 1 / b;
+    // `null` or `undefined` only equal to itself (strict comparison).
+    if (a == null || b == null) return false;
+    // `NaN`s are equivalent, but non-reflexive.
+    if (a !== a) return b !== b;
+    // Exhaust primitive checks
+    var type = typeof a;
+    if (type !== 'function' && type !== 'object' && typeof b != 'object') return false;
+    return deepEq(a, b, aStack, bStack);
+  }
+
+  // Internal recursive comparison function for `_.isEqual`.
+  function deepEq(a, b, aStack, bStack) {
+    // Unwrap any wrapped objects.
+    if (a instanceof _$1) a = a._wrapped;
+    if (b instanceof _$1) b = b._wrapped;
+    // Compare `[[Class]]` names.
+    var className = toString.call(a);
+    if (className !== toString.call(b)) return false;
+    // Work around a bug in IE 10 - Edge 13.
+    if (hasStringTagBug && className == '[object Object]' && isDataView$1(a)) {
+      if (!isDataView$1(b)) return false;
+      className = tagDataView;
+    }
+    switch (className) {
+      // These types are compared by value.
+      case '[object RegExp]':
+        // RegExps are coerced to strings for comparison (Note: '' + /a/i === '/a/i')
+      case '[object String]':
+        // Primitives and their corresponding object wrappers are equivalent; thus, `"5"` is
+        // equivalent to `new String("5")`.
+        return '' + a === '' + b;
+      case '[object Number]':
+        // `NaN`s are equivalent, but non-reflexive.
+        // Object(NaN) is equivalent to NaN.
+        if (+a !== +a) return +b !== +b;
+        // An `egal` comparison is performed for other numeric values.
+        return +a === 0 ? 1 / +a === 1 / b : +a === +b;
+      case '[object Date]':
+      case '[object Boolean]':
+        // Coerce dates and booleans to numeric primitive values. Dates are compared by their
+        // millisecond representations. Note that invalid dates with millisecond representations
+        // of `NaN` are not equivalent.
+        return +a === +b;
+      case '[object Symbol]':
+        return SymbolProto.valueOf.call(a) === SymbolProto.valueOf.call(b);
+      case '[object ArrayBuffer]':
+      case tagDataView:
+        // Coerce to typed array so we can fall through.
+        return deepEq(toBufferView(a), toBufferView(b), aStack, bStack);
+    }
+
+    var areArrays = className === '[object Array]';
+    if (!areArrays && isTypedArray$1(a)) {
+        var byteLength = getByteLength(a);
+        if (byteLength !== getByteLength(b)) return false;
+        if (a.buffer === b.buffer && a.byteOffset === b.byteOffset) return true;
+        areArrays = true;
+    }
+    if (!areArrays) {
+      if (typeof a != 'object' || typeof b != 'object') return false;
+
+      // Objects with different constructors are not equivalent, but `Object`s or `Array`s
+      // from different frames are.
+      var aCtor = a.constructor, bCtor = b.constructor;
+      if (aCtor !== bCtor && !(isFunction$1(aCtor) && aCtor instanceof aCtor &&
+                               isFunction$1(bCtor) && bCtor instanceof bCtor)
+                          && ('constructor' in a && 'constructor' in b)) {
+        return false;
+      }
+    }
+    // Assume equality for cyclic structures. The algorithm for detecting cyclic
+    // structures is adapted from ES 5.1 section 15.12.3, abstract operation `JO`.
+
+    // Initializing stack of traversed objects.
+    // It's done here since we only need them for objects and arrays comparison.
+    aStack = aStack || [];
+    bStack = bStack || [];
+    var length = aStack.length;
+    while (length--) {
+      // Linear search. Performance is inversely proportional to the number of
+      // unique nested structures.
+      if (aStack[length] === a) return bStack[length] === b;
+    }
+
+    // Add the first object to the stack of traversed objects.
+    aStack.push(a);
+    bStack.push(b);
+
+    // Recursively compare objects and arrays.
+    if (areArrays) {
+      // Compare array lengths to determine if a deep comparison is necessary.
+      length = a.length;
+      if (length !== b.length) return false;
+      // Deep compare the contents, ignoring non-numeric properties.
+      while (length--) {
+        if (!eq(a[length], b[length], aStack, bStack)) return false;
+      }
+    } else {
+      // Deep compare objects.
+      var _keys = keys(a), key;
+      length = _keys.length;
+      // Ensure that both objects contain the same number of properties before comparing deep equality.
+      if (keys(b).length !== length) return false;
+      while (length--) {
+        // Deep compare each member
+        key = _keys[length];
+        if (!(has$1(b, key) && eq(a[key], b[key], aStack, bStack))) return false;
+      }
+    }
+    // Remove the first object from the stack of traversed objects.
+    aStack.pop();
+    bStack.pop();
+    return true;
+  }
+
+  // Perform a deep comparison to check if two objects are equal.
+  function isEqual(a, b) {
+    return eq(a, b);
+  }
+
+  // Retrieve all the enumerable property names of an object.
+  function allKeys(obj) {
+    if (!isObject(obj)) return [];
+    var keys = [];
+    for (var key in obj) keys.push(key);
+    // Ahem, IE < 9.
+    if (hasEnumBug) collectNonEnumProps(obj, keys);
+    return keys;
+  }
+
+  // Since the regular `Object.prototype.toString` type tests don't work for
+  // some types in IE 11, we use a fingerprinting heuristic instead, based
+  // on the methods. It's not great, but it's the best we got.
+  // The fingerprint method lists are defined below.
+  function ie11fingerprint(methods) {
+    var length = getLength(methods);
+    return function(obj) {
+      if (obj == null) return false;
+      // `Map`, `WeakMap` and `Set` have no enumerable keys.
+      var keys = allKeys(obj);
+      if (getLength(keys)) return false;
+      for (var i = 0; i < length; i++) {
+        if (!isFunction$1(obj[methods[i]])) return false;
+      }
+      // If we are testing against `WeakMap`, we need to ensure that
+      // `obj` doesn't have a `forEach` method in order to distinguish
+      // it from a regular `Map`.
+      return methods !== weakMapMethods || !isFunction$1(obj[forEachName]);
+    };
+  }
+
+  // In the interest of compact minification, we write
+  // each string in the fingerprints only once.
+  var forEachName = 'forEach',
+      hasName = 'has',
+      commonInit = ['clear', 'delete'],
+      mapTail = ['get', hasName, 'set'];
+
+  // `Map`, `WeakMap` and `Set` each have slightly different
+  // combinations of the above sublists.
+  var mapMethods = commonInit.concat(forEachName, mapTail),
+      weakMapMethods = commonInit.concat(mapTail),
+      setMethods = ['add'].concat(commonInit, forEachName, hasName);
+
+  var isMap = isIE11 ? ie11fingerprint(mapMethods) : tagTester('Map');
+
+  var isWeakMap = isIE11 ? ie11fingerprint(weakMapMethods) : tagTester('WeakMap');
+
+  var isSet = isIE11 ? ie11fingerprint(setMethods) : tagTester('Set');
+
+  var isWeakSet = tagTester('WeakSet');
+
+  // Retrieve the values of an object's properties.
+  function values(obj) {
+    var _keys = keys(obj);
+    var length = _keys.length;
+    var values = Array(length);
+    for (var i = 0; i < length; i++) {
+      values[i] = obj[_keys[i]];
+    }
+    return values;
+  }
+
+  // Convert an object into a list of `[key, value]` pairs.
+  // The opposite of `_.object` with one argument.
+  function pairs(obj) {
+    var _keys = keys(obj);
+    var length = _keys.length;
+    var pairs = Array(length);
+    for (var i = 0; i < length; i++) {
+      pairs[i] = [_keys[i], obj[_keys[i]]];
+    }
+    return pairs;
+  }
+
+  // Invert the keys and values of an object. The values must be serializable.
+  function invert(obj) {
+    var result = {};
+    var _keys = keys(obj);
+    for (var i = 0, length = _keys.length; i < length; i++) {
+      result[obj[_keys[i]]] = _keys[i];
+    }
+    return result;
+  }
+
+  // Return a sorted list of the function names available on the object.
+  function functions(obj) {
+    var names = [];
+    for (var key in obj) {
+      if (isFunction$1(obj[key])) names.push(key);
+    }
+    return names.sort();
+  }
+
+  // An internal function for creating assigner functions.
+  function createAssigner(keysFunc, defaults) {
+    return function(obj) {
+      var length = arguments.length;
+      if (defaults) obj = Object(obj);
+      if (length < 2 || obj == null) return obj;
+      for (var index = 1; index < length; index++) {
+        var source = arguments[index],
+            keys = keysFunc(source),
+            l = keys.length;
+        for (var i = 0; i < l; i++) {
+          var key = keys[i];
+          if (!defaults || obj[key] === void 0) obj[key] = source[key];
+        }
+      }
+      return obj;
+    };
+  }
+
+  // Extend a given object with all the properties in passed-in object(s).
+  var extend = createAssigner(allKeys);
+
+  // Assigns a given object with all the own properties in the passed-in
+  // object(s).
+  // (https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Object/assign)
+  var extendOwn = createAssigner(keys);
+
+  // Fill in a given object with default properties.
+  var defaults = createAssigner(allKeys, true);
+
+  // Create a naked function reference for surrogate-prototype-swapping.
+  function ctor() {
+    return function(){};
+  }
+
+  // An internal function for creating a new object that inherits from another.
+  function baseCreate(prototype) {
+    if (!isObject(prototype)) return {};
+    if (nativeCreate) return nativeCreate(prototype);
+    var Ctor = ctor();
+    Ctor.prototype = prototype;
+    var result = new Ctor;
+    Ctor.prototype = null;
+    return result;
+  }
+
+  // Creates an object that inherits from the given prototype object.
+  // If additional properties are provided then they will be added to the
+  // created object.
+  function create(prototype, props) {
+    var result = baseCreate(prototype);
+    if (props) extendOwn(result, props);
+    return result;
+  }
+
+  // Create a (shallow-cloned) duplicate of an object.
+  function clone(obj) {
+    if (!isObject(obj)) return obj;
+    return isArray(obj) ? obj.slice() : extend({}, obj);
+  }
+
+  // Invokes `interceptor` with the `obj` and then returns `obj`.
+  // The primary purpose of this method is to "tap into" a method chain, in
+  // order to perform operations on intermediate results within the chain.
+  function tap(obj, interceptor) {
+    interceptor(obj);
+    return obj;
+  }
+
+  // Normalize a (deep) property `path` to array.
+  // Like `_.iteratee`, this function can be customized.
+  function toPath$1(path) {
+    return isArray(path) ? path : [path];
+  }
+  _$1.toPath = toPath$1;
+
+  // Internal wrapper for `_.toPath` to enable minification.
+  // Similar to `cb` for `_.iteratee`.
+  function toPath(path) {
+    return _$1.toPath(path);
+  }
+
+  // Internal function to obtain a nested property in `obj` along `path`.
+  function deepGet(obj, path) {
+    var length = path.length;
+    for (var i = 0; i < length; i++) {
+      if (obj == null) return void 0;
+      obj = obj[path[i]];
+    }
+    return length ? obj : void 0;
+  }
+
+  // Get the value of the (deep) property on `path` from `object`.
+  // If any property in `path` does not exist or if the value is
+  // `undefined`, return `defaultValue` instead.
+  // The `path` is normalized through `_.toPath`.
+  function get(object, path, defaultValue) {
+    var value = deepGet(object, toPath(path));
+    return isUndefined(value) ? defaultValue : value;
+  }
+
+  // Shortcut function for checking if an object has a given property directly on
+  // itself (in other words, not on a prototype). Unlike the internal `has`
+  // function, this public version can also traverse nested properties.
+  function has(obj, path) {
+    path = toPath(path);
+    var length = path.length;
+    for (var i = 0; i < length; i++) {
+      var key = path[i];
+      if (!has$1(obj, key)) return false;
+      obj = obj[key];
+    }
+    return !!length;
+  }
+
+  // Keep the identity function around for default iteratees.
+  function identity(value) {
+    return value;
+  }
+
+  // Returns a predicate for checking whether an object has a given set of
+  // `key:value` pairs.
+  function matcher(attrs) {
+    attrs = extendOwn({}, attrs);
+    return function(obj) {
+      return isMatch(obj, attrs);
+    };
+  }
+
+  // Creates a function that, when passed an object, will traverse that object’s
+  // properties down the given `path`, specified as an array of keys or indices.
+  function property(path) {
+    path = toPath(path);
+    return function(obj) {
+      return deepGet(obj, path);
+    };
+  }
+
+  // Internal function that returns an efficient (for current engines) version
+  // of the passed-in callback, to be repeatedly applied in other Underscore
+  // functions.
+  function optimizeCb(func, context, argCount) {
+    if (context === void 0) return func;
+    switch (argCount == null ? 3 : argCount) {
+      case 1: return function(value) {
+        return func.call(context, value);
+      };
+      // The 2-argument case is omitted because we’re not using it.
+      case 3: return function(value, index, collection) {
+        return func.call(context, value, index, collection);
+      };
+      case 4: return function(accumulator, value, index, collection) {
+        return func.call(context, accumulator, value, index, collection);
+      };
+    }
+    return function() {
+      return func.apply(context, arguments);
+    };
+  }
+
+  // An internal function to generate callbacks that can be applied to each
+  // element in a collection, returning the desired result — either `_.identity`,
+  // an arbitrary callback, a property matcher, or a property accessor.
+  function baseIteratee(value, context, argCount) {
+    if (value == null) return identity;
+    if (isFunction$1(value)) return optimizeCb(value, context, argCount);
+    if (isObject(value) && !isArray(value)) return matcher(value);
+    return property(value);
+  }
+
+  // External wrapper for our callback generator. Users may customize
+  // `_.iteratee` if they want additional predicate/iteratee shorthand styles.
+  // This abstraction hides the internal-only `argCount` argument.
+  function iteratee(value, context) {
+    return baseIteratee(value, context, Infinity);
+  }
+  _$1.iteratee = iteratee;
+
+  // The function we call internally to generate a callback. It invokes
+  // `_.iteratee` if overridden, otherwise `baseIteratee`.
+  function cb(value, context, argCount) {
+    if (_$1.iteratee !== iteratee) return _$1.iteratee(value, context);
+    return baseIteratee(value, context, argCount);
+  }
+
+  // Returns the results of applying the `iteratee` to each element of `obj`.
+  // In contrast to `_.map` it returns an object.
+  function mapObject(obj, iteratee, context) {
+    iteratee = cb(iteratee, context);
+    var _keys = keys(obj),
+        length = _keys.length,
+        results = {};
+    for (var index = 0; index < length; index++) {
+      var currentKey = _keys[index];
+      results[currentKey] = iteratee(obj[currentKey], currentKey, obj);
+    }
+    return results;
+  }
+
+  // Predicate-generating function. Often useful outside of Underscore.
+  function noop(){}
+
+  // Generates a function for a given object that returns a given property.
+  function propertyOf(obj) {
+    if (obj == null) return noop;
+    return function(path) {
+      return get(obj, path);
+    };
+  }
+
+  // Run a function **n** times.
+  function times(n, iteratee, context) {
+    var accum = Array(Math.max(0, n));
+    iteratee = optimizeCb(iteratee, context, 1);
+    for (var i = 0; i < n; i++) accum[i] = iteratee(i);
+    return accum;
+  }
+
+  // Return a random integer between `min` and `max` (inclusive).
+  function random(min, max) {
+    if (max == null) {
+      max = min;
+      min = 0;
+    }
+    return min + Math.floor(Math.random() * (max - min + 1));
+  }
+
+  // A (possibly faster) way to get the current timestamp as an integer.
+  var now = Date.now || function() {
+    return new Date().getTime();
+  };
+
+  // Internal helper to generate functions for escaping and unescaping strings
+  // to/from HTML interpolation.
+  function createEscaper(map) {
+    var escaper = function(match) {
+      return map[match];
+    };
+    // Regexes for identifying a key that needs to be escaped.
+    var source = '(?:' + keys(map).join('|') + ')';
+    var testRegexp = RegExp(source);
+    var replaceRegexp = RegExp(source, 'g');
+    return function(string) {
+      string = string == null ? '' : '' + string;
+      return testRegexp.test(string) ? string.replace(replaceRegexp, escaper) : string;
+    };
+  }
+
+  // Internal list of HTML entities for escaping.
+  var escapeMap = {
+    '&': '&amp;',
+    '<': '&lt;',
+    '>': '&gt;',
+    '"': '&quot;',
+    "'": '&#x27;',
+    '`': '&#x60;'
+  };
+
+  // Function for escaping strings to HTML interpolation.
+  var _escape = createEscaper(escapeMap);
+
+  // Internal list of HTML entities for unescaping.
+  var unescapeMap = invert(escapeMap);
+
+  // Function for unescaping strings from HTML interpolation.
+  var _unescape = createEscaper(unescapeMap);
+
+  // By default, Underscore uses ERB-style template delimiters. Change the
+  // following template settings to use alternative delimiters.
+  var templateSettings = _$1.templateSettings = {
+    evaluate: /<%([\s\S]+?)%>/g,
+    interpolate: /<%=([\s\S]+?)%>/g,
+    escape: /<%-([\s\S]+?)%>/g
+  };
+
+  // When customizing `_.templateSettings`, if you don't want to define an
+  // interpolation, evaluation or escaping regex, we need one that is
+  // guaranteed not to match.
+  var noMatch = /(.)^/;
+
+  // Certain characters need to be escaped so that they can be put into a
+  // string literal.
+  var escapes = {
+    "'": "'",
+    '\\': '\\',
+    '\r': 'r',
+    '\n': 'n',
+    '\u2028': 'u2028',
+    '\u2029': 'u2029'
+  };
+
+  var escapeRegExp = /\\|'|\r|\n|\u2028|\u2029/g;
+
+  function escapeChar(match) {
+    return '\\' + escapes[match];
+  }
+
+  // In order to prevent third-party code injection through
+  // `_.templateSettings.variable`, we test it against the following regular
+  // expression. It is intentionally a bit more liberal than just matching valid
+  // identifiers, but still prevents possible loopholes through defaults or
+  // destructuring assignment.
+  var bareIdentifier = /^\s*(\w|\$)+\s*$/;
+
+  // JavaScript micro-templating, similar to John Resig's implementation.
+  // Underscore templating handles arbitrary delimiters, preserves whitespace,
+  // and correctly escapes quotes within interpolated code.
+  // NB: `oldSettings` only exists for backwards compatibility.
+  function template(text, settings, oldSettings) {
+    if (!settings && oldSettings) settings = oldSettings;
+    settings = defaults({}, settings, _$1.templateSettings);
+
+    // Combine delimiters into one regular expression via alternation.
+    var matcher = RegExp([
+      (settings.escape || noMatch).source,
+      (settings.interpolate || noMatch).source,
+      (settings.evaluate || noMatch).source
+    ].join('|') + '|$', 'g');
+
+    // Compile the template source, escaping string literals appropriately.
+    var index = 0;
+    var source = "__p+='";
+    text.replace(matcher, function(match, escape, interpolate, evaluate, offset) {
+      source += text.slice(index, offset).replace(escapeRegExp, escapeChar);
+      index = offset + match.length;
+
+      if (escape) {
+        source += "'+\n((__t=(" + escape + "))==null?'':_.escape(__t))+\n'";
+      } else if (interpolate) {
+        source += "'+\n((__t=(" + interpolate + "))==null?'':__t)+\n'";
+      } else if (evaluate) {
+        source += "';\n" + evaluate + "\n__p+='";
+      }
+
+      // Adobe VMs need the match returned to produce the correct offset.
+      return match;
+    });
+    source += "';\n";
+
+    var argument = settings.variable;
+    if (argument) {
+      // Insure against third-party code injection. (CVE-2021-23358)
+      if (!bareIdentifier.test(argument)) throw new Error(
+        'variable is not a bare identifier: ' + argument
+      );
+    } else {
+      // If a variable is not specified, place data values in local scope.
+      source = 'with(obj||{}){\n' + source + '}\n';
+      argument = 'obj';
+    }
+
+    source = "var __t,__p='',__j=Array.prototype.join," +
+      "print=function(){__p+=__j.call(arguments,'');};\n" +
+      source + 'return __p;\n';
+
+    var render;
+    try {
+      render = new Function(argument, '_', source);
+    } catch (e) {
+      e.source = source;
+      throw e;
+    }
+
+    var template = function(data) {
+      return render.call(this, data, _$1);
+    };
+
+    // Provide the compiled source as a convenience for precompilation.
+    template.source = 'function(' + argument + '){\n' + source + '}';
+
+    return template;
+  }
+
+  // Traverses the children of `obj` along `path`. If a child is a function, it
+  // is invoked with its parent as context. Returns the value of the final
+  // child, or `fallback` if any child is undefined.
+  function result(obj, path, fallback) {
+    path = toPath(path);
+    var length = path.length;
+    if (!length) {
+      return isFunction$1(fallback) ? fallback.call(obj) : fallback;
+    }
+    for (var i = 0; i < length; i++) {
+      var prop = obj == null ? void 0 : obj[path[i]];
+      if (prop === void 0) {
+        prop = fallback;
+        i = length; // Ensure we don't continue iterating.
+      }
+      obj = isFunction$1(prop) ? prop.call(obj) : prop;
+    }
+    return obj;
+  }
+
+  // Generate a unique integer id (unique within the entire client session).
+  // Useful for temporary DOM ids.
+  var idCounter = 0;
+  function uniqueId(prefix) {
+    var id = ++idCounter + '';
+    return prefix ? prefix + id : id;
+  }
+
+  // Start chaining a wrapped Underscore object.
+  function chain(obj) {
+    var instance = _$1(obj);
+    instance._chain = true;
+    return instance;
+  }
+
+  // Internal function to execute `sourceFunc` bound to `context` with optional
+  // `args`. Determines whether to execute a function as a constructor or as a
+  // normal function.
+  function executeBound(sourceFunc, boundFunc, context, callingContext, args) {
+    if (!(callingContext instanceof boundFunc)) return sourceFunc.apply(context, args);
+    var self = baseCreate(sourceFunc.prototype);
+    var result = sourceFunc.apply(self, args);
+    if (isObject(result)) return result;
+    return self;
+  }
+
+  // Partially apply a function by creating a version that has had some of its
+  // arguments pre-filled, without changing its dynamic `this` context. `_` acts
+  // as a placeholder by default, allowing any combination of arguments to be
+  // pre-filled. Set `_.partial.placeholder` for a custom placeholder argument.
+  var partial = restArguments(function(func, boundArgs) {
+    var placeholder = partial.placeholder;
+    var bound = function() {
+      var position = 0, length = boundArgs.length;
+      var args = Array(length);
+      for (var i = 0; i < length; i++) {
+        args[i] = boundArgs[i] === placeholder ? arguments[position++] : boundArgs[i];
+      }
+      while (position < arguments.length) args.push(arguments[position++]);
+      return executeBound(func, bound, this, this, args);
+    };
+    return bound;
+  });
+
+  partial.placeholder = _$1;
+
+  // Create a function bound to a given object (assigning `this`, and arguments,
+  // optionally).
+  var bind = restArguments(function(func, context, args) {
+    if (!isFunction$1(func)) throw new TypeError('Bind must be called on a function');
+    var bound = restArguments(function(callArgs) {
+      return executeBound(func, bound, context, this, args.concat(callArgs));
+    });
+    return bound;
+  });
+
+  // Internal helper for collection methods to determine whether a collection
+  // should be iterated as an array or as an object.
+  // Related: https://people.mozilla.org/~jorendorff/es6-draft.html#sec-tolength
+  // Avoids a very nasty iOS 8 JIT bug on ARM-64. #2094
+  var isArrayLike = createSizePropertyCheck(getLength);
+
+  // Internal implementation of a recursive `flatten` function.
+  function flatten$1(input, depth, strict, output) {
+    output = output || [];
+    if (!depth && depth !== 0) {
+      depth = Infinity;
+    } else if (depth <= 0) {
+      return output.concat(input);
+    }
+    var idx = output.length;
+    for (var i = 0, length = getLength(input); i < length; i++) {
+      var value = input[i];
+      if (isArrayLike(value) && (isArray(value) || isArguments$1(value))) {
+        // Flatten current level of array or arguments object.
+        if (depth > 1) {
+          flatten$1(value, depth - 1, strict, output);
+          idx = output.length;
+        } else {
+          var j = 0, len = value.length;
+          while (j < len) output[idx++] = value[j++];
+        }
+      } else if (!strict) {
+        output[idx++] = value;
+      }
+    }
+    return output;
+  }
+
+  // Bind a number of an object's methods to that object. Remaining arguments
+  // are the method names to be bound. Useful for ensuring that all callbacks
+  // defined on an object belong to it.
+  var bindAll = restArguments(function(obj, keys) {
+    keys = flatten$1(keys, false, false);
+    var index = keys.length;
+    if (index < 1) throw new Error('bindAll must be passed function names');
+    while (index--) {
+      var key = keys[index];
+      obj[key] = bind(obj[key], obj);
+    }
+    return obj;
+  });
+
+  // Memoize an expensive function by storing its results.
+  function memoize(func, hasher) {
+    var memoize = function(key) {
+      var cache = memoize.cache;
+      var address = '' + (hasher ? hasher.apply(this, arguments) : key);
+      if (!has$1(cache, address)) cache[address] = func.apply(this, arguments);
+      return cache[address];
+    };
+    memoize.cache = {};
+    return memoize;
+  }
+
+  // Delays a function for the given number of milliseconds, and then calls
+  // it with the arguments supplied.
+  var delay = restArguments(function(func, wait, args) {
+    return setTimeout(function() {
+      return func.apply(null, args);
+    }, wait);
+  });
+
+  // Defers a function, scheduling it to run after the current call stack has
+  // cleared.
+  var defer = partial(delay, _$1, 1);
+
+  // Returns a function, that, when invoked, will only be triggered at most once
+  // during a given window of time. Normally, the throttled function will run
+  // as much as it can, without ever going more than once per `wait` duration;
+  // but if you'd like to disable the execution on the leading edge, pass
+  // `{leading: false}`. To disable execution on the trailing edge, ditto.
+  function throttle(func, wait, options) {
+    var timeout, context, args, result;
+    var previous = 0;
+    if (!options) options = {};
+
+    var later = function() {
+      previous = options.leading === false ? 0 : now();
+      timeout = null;
+      result = func.apply(context, args);
+      if (!timeout) context = args = null;
+    };
+
+    var throttled = function() {
+      var _now = now();
+      if (!previous && options.leading === false) previous = _now;
+      var remaining = wait - (_now - previous);
+      context = this;
+      args = arguments;
+      if (remaining <= 0 || remaining > wait) {
+        if (timeout) {
+          clearTimeout(timeout);
+          timeout = null;
+        }
+        previous = _now;
+        result = func.apply(context, args);
+        if (!timeout) context = args = null;
+      } else if (!timeout && options.trailing !== false) {
+        timeout = setTimeout(later, remaining);
+      }
+      return result;
+    };
+
+    throttled.cancel = function() {
+      clearTimeout(timeout);
+      previous = 0;
+      timeout = context = args = null;
+    };
+
+    return throttled;
+  }
+
+  // When a sequence of calls of the returned function ends, the argument
+  // function is triggered. The end of a sequence is defined by the `wait`
+  // parameter. If `immediate` is passed, the argument function will be
+  // triggered at the beginning of the sequence instead of at the end.
+  function debounce(func, wait, immediate) {
+    var timeout, previous, args, result, context;
+
+    var later = function() {
+      var passed = now() - previous;
+      if (wait > passed) {
+        timeout = setTimeout(later, wait - passed);
+      } else {
+        timeout = null;
+        if (!immediate) result = func.apply(context, args);
+        // This check is needed because `func` can recursively invoke `debounced`.
+        if (!timeout) args = context = null;
+      }
+    };
+
+    var debounced = restArguments(function(_args) {
+      context = this;
+      args = _args;
+      previous = now();
+      if (!timeout) {
+        timeout = setTimeout(later, wait);
+        if (immediate) result = func.apply(context, args);
+      }
+      return result;
+    });
+
+    debounced.cancel = function() {
+      clearTimeout(timeout);
+      timeout = args = context = null;
+    };
+
+    return debounced;
+  }
+
+  // Returns the first function passed as an argument to the second,
+  // allowing you to adjust arguments, run code before and after, and
+  // conditionally execute the original function.
+  function wrap(func, wrapper) {
+    return partial(wrapper, func);
+  }
+
+  // Returns a negated version of the passed-in predicate.
+  function negate(predicate) {
+    return function() {
+      return !predicate.apply(this, arguments);
+    };
+  }
+
+  // Returns a function that is the composition of a list of functions, each
+  // consuming the return value of the function that follows.
+  function compose() {
+    var args = arguments;
+    var start = args.length - 1;
+    return function() {
+      var i = start;
+      var result = args[start].apply(this, arguments);
+      while (i--) result = args[i].call(this, result);
+      return result;
+    };
+  }
+
+  // Returns a function that will only be executed on and after the Nth call.
+  function after(times, func) {
+    return function() {
+      if (--times < 1) {
+        return func.apply(this, arguments);
+      }
+    };
+  }
+
+  // Returns a function that will only be executed up to (but not including) the
+  // Nth call.
+  function before(times, func) {
+    var memo;
+    return function() {
+      if (--times > 0) {
+        memo = func.apply(this, arguments);
+      }
+      if (times <= 1) func = null;
+      return memo;
+    };
+  }
+
+  // Returns a function that will be executed at most one time, no matter how
+  // often you call it. Useful for lazy initialization.
+  var once = partial(before, 2);
+
+  // Returns the first key on an object that passes a truth test.
+  function findKey(obj, predicate, context) {
+    predicate = cb(predicate, context);
+    var _keys = keys(obj), key;
+    for (var i = 0, length = _keys.length; i < length; i++) {
+      key = _keys[i];
+      if (predicate(obj[key], key, obj)) return key;
+    }
+  }
+
+  // Internal function to generate `_.findIndex` and `_.findLastIndex`.
+  function createPredicateIndexFinder(dir) {
+    return function(array, predicate, context) {
+      predicate = cb(predicate, context);
+      var length = getLength(array);
+      var index = dir > 0 ? 0 : length - 1;
+      for (; index >= 0 && index < length; index += dir) {
+        if (predicate(array[index], index, array)) return index;
+      }
+      return -1;
+    };
+  }
+
+  // Returns the first index on an array-like that passes a truth test.
+  var findIndex = createPredicateIndexFinder(1);
+
+  // Returns the last index on an array-like that passes a truth test.
+  var findLastIndex = createPredicateIndexFinder(-1);
+
+  // Use a comparator function to figure out the smallest index at which
+  // an object should be inserted so as to maintain order. Uses binary search.
+  function sortedIndex(array, obj, iteratee, context) {
+    iteratee = cb(iteratee, context, 1);
+    var value = iteratee(obj);
+    var low = 0, high = getLength(array);
+    while (low < high) {
+      var mid = Math.floor((low + high) / 2);
+      if (iteratee(array[mid]) < value) low = mid + 1; else high = mid;
+    }
+    return low;
+  }
+
+  // Internal function to generate the `_.indexOf` and `_.lastIndexOf` functions.
+  function createIndexFinder(dir, predicateFind, sortedIndex) {
+    return function(array, item, idx) {
+      var i = 0, length = getLength(array);
+      if (typeof idx == 'number') {
+        if (dir > 0) {
+          i = idx >= 0 ? idx : Math.max(idx + length, i);
+        } else {
+          length = idx >= 0 ? Math.min(idx + 1, length) : idx + length + 1;
+        }
+      } else if (sortedIndex && idx && length) {
+        idx = sortedIndex(array, item);
+        return array[idx] === item ? idx : -1;
+      }
+      if (item !== item) {
+        idx = predicateFind(slice.call(array, i, length), isNaN$1);
+        return idx >= 0 ? idx + i : -1;
+      }
+      for (idx = dir > 0 ? i : length - 1; idx >= 0 && idx < length; idx += dir) {
+        if (array[idx] === item) return idx;
+      }
+      return -1;
+    };
+  }
+
+  // Return the position of the first occurrence of an item in an array,
+  // or -1 if the item is not included in the array.
+  // If the array is large and already in sort order, pass `true`
+  // for **isSorted** to use binary search.
+  var indexOf = createIndexFinder(1, findIndex, sortedIndex);
+
+  // Return the position of the last occurrence of an item in an array,
+  // or -1 if the item is not included in the array.
+  var lastIndexOf = createIndexFinder(-1, findLastIndex);
+
+  // Return the first value which passes a truth test.
+  function find(obj, predicate, context) {
+    var keyFinder = isArrayLike(obj) ? findIndex : findKey;
+    var key = keyFinder(obj, predicate, context);
+    if (key !== void 0 && key !== -1) return obj[key];
+  }
+
+  // Convenience version of a common use case of `_.find`: getting the first
+  // object containing specific `key:value` pairs.
+  function findWhere(obj, attrs) {
+    return find(obj, matcher(attrs));
+  }
+
+  // The cornerstone for collection functions, an `each`
+  // implementation, aka `forEach`.
+  // Handles raw objects in addition to array-likes. Treats all
+  // sparse array-likes as if they were dense.
+  function each(obj, iteratee, context) {
+    iteratee = optimizeCb(iteratee, context);
+    var i, length;
+    if (isArrayLike(obj)) {
+      for (i = 0, length = obj.length; i < length; i++) {
+        iteratee(obj[i], i, obj);
+      }
+    } else {
+      var _keys = keys(obj);
+      for (i = 0, length = _keys.length; i < length; i++) {
+        iteratee(obj[_keys[i]], _keys[i], obj);
+      }
+    }
+    return obj;
+  }
+
+  // Return the results of applying the iteratee to each element.
+  function map(obj, iteratee, context) {
+    iteratee = cb(iteratee, context);
+    var _keys = !isArrayLike(obj) && keys(obj),
+        length = (_keys || obj).length,
+        results = Array(length);
+    for (var index = 0; index < length; index++) {
+      var currentKey = _keys ? _keys[index] : index;
+      results[index] = iteratee(obj[currentKey], currentKey, obj);
+    }
+    return results;
+  }
+
+  // Internal helper to create a reducing function, iterating left or right.
+  function createReduce(dir) {
+    // Wrap code that reassigns argument variables in a separate function than
+    // the one that accesses `arguments.length` to avoid a perf hit. (#1991)
+    var reducer = function(obj, iteratee, memo, initial) {
+      var _keys = !isArrayLike(obj) && keys(obj),
+          length = (_keys || obj).length,
+          index = dir > 0 ? 0 : length - 1;
+      if (!initial) {
+        memo = obj[_keys ? _keys[index] : index];
+        index += dir;
+      }
+      for (; index >= 0 && index < length; index += dir) {
+        var currentKey = _keys ? _keys[index] : index;
+        memo = iteratee(memo, obj[currentKey], currentKey, obj);
+      }
+      return memo;
+    };
+
+    return function(obj, iteratee, memo, context) {
+      var initial = arguments.length >= 3;
+      return reducer(obj, optimizeCb(iteratee, context, 4), memo, initial);
+    };
+  }
+
+  // **Reduce** builds up a single result from a list of values, aka `inject`,
+  // or `foldl`.
+  var reduce = createReduce(1);
+
+  // The right-associative version of reduce, also known as `foldr`.
+  var reduceRight = createReduce(-1);
+
+  // Return all the elements that pass a truth test.
+  function filter(obj, predicate, context) {
+    var results = [];
+    predicate = cb(predicate, context);
+    each(obj, function(value, index, list) {
+      if (predicate(value, index, list)) results.push(value);
+    });
+    return results;
+  }
+
+  // Return all the elements for which a truth test fails.
+  function reject(obj, predicate, context) {
+    return filter(obj, negate(cb(predicate)), context);
+  }
+
+  // Determine whether all of the elements pass a truth test.
+  function every(obj, predicate, context) {
+    predicate = cb(predicate, context);
+    var _keys = !isArrayLike(obj) && keys(obj),
+        length = (_keys || obj).length;
+    for (var index = 0; index < length; index++) {
+      var currentKey = _keys ? _keys[index] : index;
+      if (!predicate(obj[currentKey], currentKey, obj)) return false;
+    }
+    return true;
+  }
+
+  // Determine if at least one element in the object passes a truth test.
+  function some(obj, predicate, context) {
+    predicate = cb(predicate, context);
+    var _keys = !isArrayLike(obj) && keys(obj),
+        length = (_keys || obj).length;
+    for (var index = 0; index < length; index++) {
+      var currentKey = _keys ? _keys[index] : index;
+      if (predicate(obj[currentKey], currentKey, obj)) return true;
+    }
+    return false;
+  }
+
+  // Determine if the array or object contains a given item (using `===`).
+  function contains(obj, item, fromIndex, guard) {
+    if (!isArrayLike(obj)) obj = values(obj);
+    if (typeof fromIndex != 'number' || guard) fromIndex = 0;
+    return indexOf(obj, item, fromIndex) >= 0;
+  }
+
+  // Invoke a method (with arguments) on every item in a collection.
+  var invoke = restArguments(function(obj, path, args) {
+    var contextPath, func;
+    if (isFunction$1(path)) {
+      func = path;
+    } else {
+      path = toPath(path);
+      contextPath = path.slice(0, -1);
+      path = path[path.length - 1];
+    }
+    return map(obj, function(context) {
+      var method = func;
+      if (!method) {
+        if (contextPath && contextPath.length) {
+          context = deepGet(context, contextPath);
+        }
+        if (context == null) return void 0;
+        method = context[path];
+      }
+      return method == null ? method : method.apply(context, args);
+    });
+  });
+
+  // Convenience version of a common use case of `_.map`: fetching a property.
+  function pluck(obj, key) {
+    return map(obj, property(key));
+  }
+
+  // Convenience version of a common use case of `_.filter`: selecting only
+  // objects containing specific `key:value` pairs.
+  function where(obj, attrs) {
+    return filter(obj, matcher(attrs));
+  }
+
+  // Return the maximum element (or element-based computation).
+  function max(obj, iteratee, context) {
+    var result = -Infinity, lastComputed = -Infinity,
+        value, computed;
+    if (iteratee == null || typeof iteratee == 'number' && typeof obj[0] != 'object' && obj != null) {
+      obj = isArrayLike(obj) ? obj : values(obj);
+      for (var i = 0, length = obj.length; i < length; i++) {
+        value = obj[i];
+        if (value != null && value > result) {
+          result = value;
+        }
+      }
+    } else {
+      iteratee = cb(iteratee, context);
+      each(obj, function(v, index, list) {
+        computed = iteratee(v, index, list);
+        if (computed > lastComputed || computed === -Infinity && result === -Infinity) {
+          result = v;
+          lastComputed = computed;
+        }
+      });
+    }
+    return result;
+  }
+
+  // Return the minimum element (or element-based computation).
+  function min(obj, iteratee, context) {
+    var result = Infinity, lastComputed = Infinity,
+        value, computed;
+    if (iteratee == null || typeof iteratee == 'number' && typeof obj[0] != 'object' && obj != null) {
+      obj = isArrayLike(obj) ? obj : values(obj);
+      for (var i = 0, length = obj.length; i < length; i++) {
+        value = obj[i];
+        if (value != null && value < result) {
+          result = value;
+        }
+      }
+    } else {
+      iteratee = cb(iteratee, context);
+      each(obj, function(v, index, list) {
+        computed = iteratee(v, index, list);
+        if (computed < lastComputed || computed === Infinity && result === Infinity) {
+          result = v;
+          lastComputed = computed;
+        }
+      });
+    }
+    return result;
+  }
+
+  // Sample **n** random values from a collection using the modern version of the
+  // [Fisher-Yates shuffle](https://en.wikipedia.org/wiki/Fisher–Yates_shuffle).
+  // If **n** is not specified, returns a single random element.
+  // The internal `guard` argument allows it to work with `_.map`.
+  function sample(obj, n, guard) {
+    if (n == null || guard) {
+      if (!isArrayLike(obj)) obj = values(obj);
+      return obj[random(obj.length - 1)];
+    }
+    var sample = isArrayLike(obj) ? clone(obj) : values(obj);
+    var length = getLength(sample);
+    n = Math.max(Math.min(n, length), 0);
+    var last = length - 1;
+    for (var index = 0; index < n; index++) {
+      var rand = random(index, last);
+      var temp = sample[index];
+      sample[index] = sample[rand];
+      sample[rand] = temp;
+    }
+    return sample.slice(0, n);
+  }
+
+  // Shuffle a collection.
+  function shuffle(obj) {
+    return sample(obj, Infinity);
+  }
+
+  // Sort the object's values by a criterion produced by an iteratee.
+  function sortBy(obj, iteratee, context) {
+    var index = 0;
+    iteratee = cb(iteratee, context);
+    return pluck(map(obj, function(value, key, list) {
+      return {
+        value: value,
+        index: index++,
+        criteria: iteratee(value, key, list)
+      };
+    }).sort(function(left, right) {
+      var a = left.criteria;
+      var b = right.criteria;
+      if (a !== b) {
+        if (a > b || a === void 0) return 1;
+        if (a < b || b === void 0) return -1;
+      }
+      return left.index - right.index;
+    }), 'value');
+  }
+
+  // An internal function used for aggregate "group by" operations.
+  function group(behavior, partition) {
+    return function(obj, iteratee, context) {
+      var result = partition ? [[], []] : {};
+      iteratee = cb(iteratee, context);
+      each(obj, function(value, index) {
+        var key = iteratee(value, index, obj);
+        behavior(result, value, key);
+      });
+      return result;
+    };
+  }
+
+  // Groups the object's values by a criterion. Pass either a string attribute
+  // to group by, or a function that returns the criterion.
+  var groupBy = group(function(result, value, key) {
+    if (has$1(result, key)) result[key].push(value); else result[key] = [value];
+  });
+
+  // Indexes the object's values by a criterion, similar to `_.groupBy`, but for
+  // when you know that your index values will be unique.
+  var indexBy = group(function(result, value, key) {
+    result[key] = value;
+  });
+
+  // Counts instances of an object that group by a certain criterion. Pass
+  // either a string attribute to count by, or a function that returns the
+  // criterion.
+  var countBy = group(function(result, value, key) {
+    if (has$1(result, key)) result[key]++; else result[key] = 1;
+  });
+
+  // Split a collection into two arrays: one whose elements all pass the given
+  // truth test, and one whose elements all do not pass the truth test.
+  var partition = group(function(result, value, pass) {
+    result[pass ? 0 : 1].push(value);
+  }, true);
+
+  // Safely create a real, live array from anything iterable.
+  var reStrSymbol = /[^\ud800-\udfff]|[\ud800-\udbff][\udc00-\udfff]|[\ud800-\udfff]/g;
+  function toArray(obj) {
+    if (!obj) return [];
+    if (isArray(obj)) return slice.call(obj);
+    if (isString(obj)) {
+      // Keep surrogate pair characters together.
+      return obj.match(reStrSymbol);
+    }
+    if (isArrayLike(obj)) return map(obj, identity);
+    return values(obj);
+  }
+
+  // Return the number of elements in a collection.
+  function size(obj) {
+    if (obj == null) return 0;
+    return isArrayLike(obj) ? obj.length : keys(obj).length;
+  }
+
+  // Internal `_.pick` helper function to determine whether `key` is an enumerable
+  // property name of `obj`.
+  function keyInObj(value, key, obj) {
+    return key in obj;
+  }
+
+  // Return a copy of the object only containing the allowed properties.
+  var pick = restArguments(function(obj, keys) {
+    var result = {}, iteratee = keys[0];
+    if (obj == null) return result;
+    if (isFunction$1(iteratee)) {
+      if (keys.length > 1) iteratee = optimizeCb(iteratee, keys[1]);
+      keys = allKeys(obj);
+    } else {
+      iteratee = keyInObj;
+      keys = flatten$1(keys, false, false);
+      obj = Object(obj);
+    }
+    for (var i = 0, length = keys.length; i < length; i++) {
+      var key = keys[i];
+      var value = obj[key];
+      if (iteratee(value, key, obj)) result[key] = value;
+    }
+    return result;
+  });
+
+  // Return a copy of the object without the disallowed properties.
+  var omit = restArguments(function(obj, keys) {
+    var iteratee = keys[0], context;
+    if (isFunction$1(iteratee)) {
+      iteratee = negate(iteratee);
+      if (keys.length > 1) context = keys[1];
+    } else {
+      keys = map(flatten$1(keys, false, false), String);
+      iteratee = function(value, key) {
+        return !contains(keys, key);
+      };
+    }
+    return pick(obj, iteratee, context);
+  });
+
+  // Returns everything but the last entry of the array. Especially useful on
+  // the arguments object. Passing **n** will return all the values in
+  // the array, excluding the last N.
+  function initial(array, n, guard) {
+    return slice.call(array, 0, Math.max(0, array.length - (n == null || guard ? 1 : n)));
+  }
+
+  // Get the first element of an array. Passing **n** will return the first N
+  // values in the array. The **guard** check allows it to work with `_.map`.
+  function first(array, n, guard) {
+    if (array == null || array.length < 1) return n == null || guard ? void 0 : [];
+    if (n == null || guard) return array[0];
+    return initial(array, array.length - n);
+  }
+
+  // Returns everything but the first entry of the `array`. Especially useful on
+  // the `arguments` object. Passing an **n** will return the rest N values in the
+  // `array`.
+  function rest(array, n, guard) {
+    return slice.call(array, n == null || guard ? 1 : n);
+  }
+
+  // Get the last element of an array. Passing **n** will return the last N
+  // values in the array.
+  function last(array, n, guard) {
+    if (array == null || array.length < 1) return n == null || guard ? void 0 : [];
+    if (n == null || guard) return array[array.length - 1];
+    return rest(array, Math.max(0, array.length - n));
+  }
+
+  // Trim out all falsy values from an array.
+  function compact(array) {
+    return filter(array, Boolean);
+  }
+
+  // Flatten out an array, either recursively (by default), or up to `depth`.
+  // Passing `true` or `false` as `depth` means `1` or `Infinity`, respectively.
+  function flatten(array, depth) {
+    return flatten$1(array, depth, false);
+  }
+
+  // Take the difference between one array and a number of other arrays.
+  // Only the elements present in just the first array will remain.
+  var difference = restArguments(function(array, rest) {
+    rest = flatten$1(rest, true, true);
+    return filter(array, function(value){
+      return !contains(rest, value);
+    });
+  });
+
+  // Return a version of the array that does not contain the specified value(s).
+  var without = restArguments(function(array, otherArrays) {
+    return difference(array, otherArrays);
+  });
+
+  // Produce a duplicate-free version of the array. If the array has already
+  // been sorted, you have the option of using a faster algorithm.
+  // The faster algorithm will not work with an iteratee if the iteratee
+  // is not a one-to-one function, so providing an iteratee will disable
+  // the faster algorithm.
+  function uniq(array, isSorted, iteratee, context) {
+    if (!isBoolean(isSorted)) {
+      context = iteratee;
+      iteratee = isSorted;
+      isSorted = false;
+    }
+    if (iteratee != null) iteratee = cb(iteratee, context);
+    var result = [];
+    var seen = [];
+    for (var i = 0, length = getLength(array); i < length; i++) {
+      var value = array[i],
+          computed = iteratee ? iteratee(value, i, array) : value;
+      if (isSorted && !iteratee) {
+        if (!i || seen !== computed) result.push(value);
+        seen = computed;
+      } else if (iteratee) {
+        if (!contains(seen, computed)) {
+          seen.push(computed);
+          result.push(value);
+        }
+      } else if (!contains(result, value)) {
+        result.push(value);
+      }
+    }
+    return result;
+  }
+
+  // Produce an array that contains the union: each distinct element from all of
+  // the passed-in arrays.
+  var union = restArguments(function(arrays) {
+    return uniq(flatten$1(arrays, true, true));
+  });
+
+  // Produce an array that contains every item shared between all the
+  // passed-in arrays.
+  function intersection(array) {
+    var result = [];
+    var argsLength = arguments.length;
+    for (var i = 0, length = getLength(array); i < length; i++) {
+      var item = array[i];
+      if (contains(result, item)) continue;
+      var j;
+      for (j = 1; j < argsLength; j++) {
+        if (!contains(arguments[j], item)) break;
+      }
+      if (j === argsLength) result.push(item);
+    }
+    return result;
+  }
+
+  // Complement of zip. Unzip accepts an array of arrays and groups
+  // each array's elements on shared indices.
+  function unzip(array) {
+    var length = array && max(array, getLength).length || 0;
+    var result = Array(length);
+
+    for (var index = 0; index < length; index++) {
+      result[index] = pluck(array, index);
+    }
+    return result;
+  }
+
+  // Zip together multiple lists into a single array -- elements that share
+  // an index go together.
+  var zip = restArguments(unzip);
+
+  // Converts lists into objects. Pass either a single array of `[key, value]`
+  // pairs, or two parallel arrays of the same length -- one of keys, and one of
+  // the corresponding values. Passing by pairs is the reverse of `_.pairs`.
+  function object(list, values) {
+    var result = {};
+    for (var i = 0, length = getLength(list); i < length; i++) {
+      if (values) {
+        result[list[i]] = values[i];
+      } else {
+        result[list[i][0]] = list[i][1];
+      }
+    }
+    return result;
+  }
+
+  // Generate an integer Array containing an arithmetic progression. A port of
+  // the native Python `range()` function. See
+  // [the Python documentation](https://docs.python.org/library/functions.html#range).
+  function range(start, stop, step) {
+    if (stop == null) {
+      stop = start || 0;
+      start = 0;
+    }
+    if (!step) {
+      step = stop < start ? -1 : 1;
+    }
+
+    var length = Math.max(Math.ceil((stop - start) / step), 0);
+    var range = Array(length);
+
+    for (var idx = 0; idx < length; idx++, start += step) {
+      range[idx] = start;
+    }
+
+    return range;
+  }
+
+  // Chunk a single array into multiple arrays, each containing `count` or fewer
+  // items.
+  function chunk(array, count) {
+    if (count == null || count < 1) return [];
+    var result = [];
+    var i = 0, length = array.length;
+    while (i < length) {
+      result.push(slice.call(array, i, i += count));
+    }
+    return result;
+  }
+
+  // Helper function to continue chaining intermediate results.
+  function chainResult(instance, obj) {
+    return instance._chain ? _$1(obj).chain() : obj;
+  }
+
+  // Add your own custom functions to the Underscore object.
+  function mixin(obj) {
+    each(functions(obj), function(name) {
+      var func = _$1[name] = obj[name];
+      _$1.prototype[name] = function() {
+        var args = [this._wrapped];
+        push.apply(args, arguments);
+        return chainResult(this, func.apply(_$1, args));
+      };
+    });
+    return _$1;
+  }
+
+  // Add all mutator `Array` functions to the wrapper.
+  each(['pop', 'push', 'reverse', 'shift', 'sort', 'splice', 'unshift'], function(name) {
+    var method = ArrayProto[name];
+    _$1.prototype[name] = function() {
+      var obj = this._wrapped;
+      if (obj != null) {
+        method.apply(obj, arguments);
+        if ((name === 'shift' || name === 'splice') && obj.length === 0) {
+          delete obj[0];
+        }
+      }
+      return chainResult(this, obj);
+    };
+  });
+
+  // Add all accessor `Array` functions to the wrapper.
+  each(['concat', 'join', 'slice'], function(name) {
+    var method = ArrayProto[name];
+    _$1.prototype[name] = function() {
+      var obj = this._wrapped;
+      if (obj != null) obj = method.apply(obj, arguments);
+      return chainResult(this, obj);
+    };
+  });
+
+  // Named Exports
+
+  var allExports = {
+    __proto__: null,
+    VERSION: VERSION,
+    restArguments: restArguments,
+    isObject: isObject,
+    isNull: isNull,
+    isUndefined: isUndefined,
+    isBoolean: isBoolean,
+    isElement: isElement,
+    isString: isString,
+    isNumber: isNumber,
+    isDate: isDate,
+    isRegExp: isRegExp,
+    isError: isError,
+    isSymbol: isSymbol,
+    isArrayBuffer: isArrayBuffer,
+    isDataView: isDataView$1,
+    isArray: isArray,
+    isFunction: isFunction$1,
+    isArguments: isArguments$1,
+    isFinite: isFinite$1,
+    isNaN: isNaN$1,
+    isTypedArray: isTypedArray$1,
+    isEmpty: isEmpty,
+    isMatch: isMatch,
+    isEqual: isEqual,
+    isMap: isMap,
+    isWeakMap: isWeakMap,
+    isSet: isSet,
+    isWeakSet: isWeakSet,
+    keys: keys,
+    allKeys: allKeys,
+    values: values,
+    pairs: pairs,
+    invert: invert,
+    functions: functions,
+    methods: functions,
+    extend: extend,
+    extendOwn: extendOwn,
+    assign: extendOwn,
+    defaults: defaults,
+    create: create,
+    clone: clone,
+    tap: tap,
+    get: get,
+    has: has,
+    mapObject: mapObject,
+    identity: identity,
+    constant: constant,
+    noop: noop,
+    toPath: toPath$1,
+    property: property,
+    propertyOf: propertyOf,
+    matcher: matcher,
+    matches: matcher,
+    times: times,
+    random: random,
+    now: now,
+    escape: _escape,
+    unescape: _unescape,
+    templateSettings: templateSettings,
+    template: template,
+    result: result,
+    uniqueId: uniqueId,
+    chain: chain,
+    iteratee: iteratee,
+    partial: partial,
+    bind: bind,
+    bindAll: bindAll,
+    memoize: memoize,
+    delay: delay,
+    defer: defer,
+    throttle: throttle,
+    debounce: debounce,
+    wrap: wrap,
+    negate: negate,
+    compose: compose,
+    after: after,
+    before: before,
+    once: once,
+    findKey: findKey,
+    findIndex: findIndex,
+    findLastIndex: findLastIndex,
+    sortedIndex: sortedIndex,
+    indexOf: indexOf,
+    lastIndexOf: lastIndexOf,
+    find: find,
+    detect: find,
+    findWhere: findWhere,
+    each: each,
+    forEach: each,
+    map: map,
+    collect: map,
+    reduce: reduce,
+    foldl: reduce,
+    inject: reduce,
+    reduceRight: reduceRight,
+    foldr: reduceRight,
+    filter: filter,
+    select: filter,
+    reject: reject,
+    every: every,
+    all: every,
+    some: some,
+    any: some,
+    contains: contains,
+    includes: contains,
+    include: contains,
+    invoke: invoke,
+    pluck: pluck,
+    where: where,
+    max: max,
+    min: min,
+    shuffle: shuffle,
+    sample: sample,
+    sortBy: sortBy,
+    groupBy: groupBy,
+    indexBy: indexBy,
+    countBy: countBy,
+    partition: partition,
+    toArray: toArray,
+    size: size,
+    pick: pick,
+    omit: omit,
+    first: first,
+    head: first,
+    take: first,
+    initial: initial,
+    last: last,
+    rest: rest,
+    tail: rest,
+    drop: rest,
+    compact: compact,
+    flatten: flatten,
+    without: without,
+    uniq: uniq,
+    unique: uniq,
+    union: union,
+    intersection: intersection,
+    difference: difference,
+    unzip: unzip,
+    transpose: unzip,
+    zip: zip,
+    object: object,
+    range: range,
+    chunk: chunk,
+    mixin: mixin,
+    'default': _$1
+  };
+
+  // Default Export
+
+  // Add all of the Underscore functions to the wrapper object.
+  var _ = mixin(allExports);
+  // Legacy Node.js API.
+  _._ = _;
+
+  return _;
+
+})));
+//# sourceMappingURL=underscore-umd.js.map
diff --git a/trackpy/v0.6.2/_static/underscore.js b/trackpy/v0.6.2/_static/underscore.js
new file mode 100644
index 00000000..cf177d42
--- /dev/null
+++ b/trackpy/v0.6.2/_static/underscore.js
@@ -0,0 +1,6 @@
+!function(n,r){"object"==typeof exports&&"undefined"!=typeof module?module.exports=r():"function"==typeof define&&define.amd?define("underscore",r):(n="undefined"!=typeof globalThis?globalThis:n||self,function(){var t=n._,e=n._=r();e.noConflict=function(){return n._=t,e}}())}(this,(function(){
+//     Underscore.js 1.13.1
+//     https://underscorejs.org
+//     (c) 2009-2021 Jeremy Ashkenas, Julian Gonggrijp, and DocumentCloud and Investigative Reporters & Editors
+//     Underscore may be freely distributed under the MIT license.
+var n="1.13.1",r="object"==typeof self&&self.self===self&&self||"object"==typeof global&&global.global===global&&global||Function("return this")()||{},t=Array.prototype,e=Object.prototype,u="undefined"!=typeof Symbol?Symbol.prototype:null,o=t.push,i=t.slice,a=e.toString,f=e.hasOwnProperty,c="undefined"!=typeof ArrayBuffer,l="undefined"!=typeof DataView,s=Array.isArray,p=Object.keys,v=Object.create,h=c&&ArrayBuffer.isView,y=isNaN,d=isFinite,g=!{toString:null}.propertyIsEnumerable("toString"),b=["valueOf","isPrototypeOf","toString","propertyIsEnumerable","hasOwnProperty","toLocaleString"],m=Math.pow(2,53)-1;function j(n,r){return r=null==r?n.length-1:+r,function(){for(var t=Math.max(arguments.length-r,0),e=Array(t),u=0;u<t;u++)e[u]=arguments[u+r];switch(r){case 0:return n.call(this,e);case 1:return n.call(this,arguments[0],e);case 2:return n.call(this,arguments[0],arguments[1],e)}var o=Array(r+1);for(u=0;u<r;u++)o[u]=arguments[u];return o[r]=e,n.apply(this,o)}}function _(n){var r=typeof 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+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
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+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
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+<li><a class="reference internal" href="#">API reference</a><ul>
+<li><a class="reference internal" href="#feature-finding">Feature finding</a></li>
+<li><a class="reference internal" href="#coordinate-refinement">Coordinate refinement</a></li>
+<li><a class="reference internal" href="#linking">Linking</a></li>
+<li><a class="reference internal" href="#static-analysis">Static Analysis</a></li>
+<li><a class="reference internal" href="#motion-analysis">Motion Analysis</a></li>
+<li><a class="reference internal" href="#prediction-framework">Prediction Framework</a></li>
+<li><a class="reference internal" href="#plotting-tools">Plotting Tools</a><ul>
+</ul>
+</li>
+<li><a class="reference internal" href="#image-conversion">Image Conversion</a></li>
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+<li><a class="reference internal" href="#low-level-api-advanced">Low-Level API (Advanced)</a><ul>
+<li><a class="reference internal" href="#switching-between-numba-and-pure-python">Switching Between Numba and Pure Python</a></li>
+<li><a class="reference internal" href="#low-level-linking-api">Low-Level Linking API</a><ul>
+</ul>
+</li>
+<li><a class="reference internal" href="#masks">Masks</a></li>
+</ul>
+</li>
+<li><a class="reference internal" href="#full-api-reference">Full API reference</a></li>
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+      
+  <section id="api-reference">
+<span id="api-ref"></span><h1>API reference<a class="headerlink" href="#api-reference" title="Permalink to this heading">¶</a></h1>
+<p>The core functionality of trackpy is grouped into three separate steps:</p>
+<ol class="arabic simple">
+<li><p>Locating features in an image</p></li>
+<li><p>Refining feature coordinates to obtain subpixel precision</p></li>
+<li><p>Identifying features through time, linking them into trajectories.</p></li>
+</ol>
+<p>Convenience functions for feature finding, refinement, and linking are readily available:</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="generated/trackpy.locate.html#trackpy.locate" title="trackpy.locate"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.locate</span></code></a>(raw_image, diameter[, ...])</p></td>
+<td><p>Locate Gaussian-like blobs of some approximate size in an image.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="generated/trackpy.batch.html#trackpy.batch" title="trackpy.batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.batch</span></code></a>(frames, diameter[, output, ...])</p></td>
+<td><p>Locate Gaussian-like blobs of some approximate size in a set of images.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="generated/trackpy.link.html#trackpy.link" title="trackpy.link"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.link</span></code></a>(f, search_range[, pos_columns, ...])</p></td>
+<td><p>Link a DataFrame of coordinates into trajectories.</p></td>
+</tr>
+</tbody>
+</table>
+<p>For more control on your tracking “pipeline”, the following core functions are provided:</p>
+<section id="feature-finding">
+<h2>Feature finding<a class="headerlink" href="#feature-finding" title="Permalink to this heading">¶</a></h2>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="generated/trackpy.grey_dilation.html#trackpy.grey_dilation" title="trackpy.grey_dilation"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.grey_dilation</span></code></a>(image, separation[, ...])</p></td>
+<td><p>Find local maxima whose brightness is above a given percentile.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="generated/trackpy.find_link.html#trackpy.find_link" title="trackpy.find_link"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.find_link</span></code></a>(reader, search_range, ...)</p></td>
+<td><p>Find and link features, using image data to re-find lost features.</p></td>
+</tr>
+</tbody>
+</table>
+</section>
+<section id="coordinate-refinement">
+<h2>Coordinate refinement<a class="headerlink" href="#coordinate-refinement" title="Permalink to this heading">¶</a></h2>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="generated/trackpy.refine_com.html#trackpy.refine_com" title="trackpy.refine_com"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.refine_com</span></code></a>(raw_image, image, radius, ...)</p></td>
+<td><p>Find the center of mass of a bright feature starting from an estimate.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="generated/trackpy.refine_leastsq.html#trackpy.refine_leastsq" title="trackpy.refine_leastsq"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.refine_leastsq</span></code></a>(f, reader, diameter)</p></td>
+<td><p>Refines overlapping feature coordinates by least-squares fitting to radial model functions.</p></td>
+</tr>
+</tbody>
+</table>
+</section>
+<section id="linking">
+<h2>Linking<a class="headerlink" href="#linking" title="Permalink to this heading">¶</a></h2>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="generated/trackpy.link.html#trackpy.link" title="trackpy.link"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.link</span></code></a>(f, search_range[, pos_columns, ...])</p></td>
+<td><p>Link a DataFrame of coordinates into trajectories.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="generated/trackpy.link_iter.html#trackpy.link_iter" title="trackpy.link_iter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.link_iter</span></code></a>(coords_iter, search_range)</p></td>
+<td><p>Link an iterable of per-frame coordinates into trajectories.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="generated/trackpy.link_df_iter.html#trackpy.link_df_iter" title="trackpy.link_df_iter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.link_df_iter</span></code></a>(f_iter, search_range[, ...])</p></td>
+<td><p>Link an iterable of DataFrames into trajectories.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="generated/trackpy.link_partial.html#trackpy.link_partial" title="trackpy.link_partial"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.link_partial</span></code></a>(f, search_range, link_range)</p></td>
+<td><p>Patch the trajectories in a DataFrame by linking only a range of frames</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="generated/trackpy.reconnect_traj_patch.html#trackpy.reconnect_traj_patch" title="trackpy.reconnect_traj_patch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.reconnect_traj_patch</span></code></a>(f, link_range, ...)</p></td>
+<td><p>Reconnect the trajectory inside a range of frames to the trajectories outside the range.</p></td>
+</tr>
+</tbody>
+</table>
+<p><code class="xref py py-func docutils literal notranslate"><span class="pre">link()</span></code> and <code class="xref py py-func docutils literal notranslate"><span class="pre">link_df_iter()</span></code> run
+the same underlying code. <code class="xref py py-func docutils literal notranslate"><span class="pre">link()</span></code> operates on a single
+DataFrame containing data for an entire movie.
+<code class="xref py py-func docutils literal notranslate"><span class="pre">link_df_iter()</span></code> streams through larger data sets,
+in the form of one DataFrame for each video frame.
+<code class="xref py py-func docutils literal notranslate"><span class="pre">link_iter()</span></code> streams through a series of numpy
+ndarrays.
+<code class="xref py py-func docutils literal notranslate"><span class="pre">link_partial()</span></code> can patch a region of trajectories in
+an already linked dataset.</p>
+<p>See the tutorial on large data sets for more.</p>
+</section>
+<section id="static-analysis">
+<h2>Static Analysis<a class="headerlink" href="#static-analysis" title="Permalink to this heading">¶</a></h2>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="generated/trackpy.static.proximity.html#trackpy.static.proximity" title="trackpy.static.proximity"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.static.proximity</span></code></a>(features[, pos_columns])</p></td>
+<td><p>Find the distance to each feature's nearest neighbor.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="generated/trackpy.static.pair_correlation_2d.html#trackpy.static.pair_correlation_2d" title="trackpy.static.pair_correlation_2d"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.static.pair_correlation_2d</span></code></a>(feat, cutoff)</p></td>
+<td><p>Calculate the pair correlation function in 2 dimensions.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="generated/trackpy.static.pair_correlation_3d.html#trackpy.static.pair_correlation_3d" title="trackpy.static.pair_correlation_3d"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.static.pair_correlation_3d</span></code></a>(feat, cutoff)</p></td>
+<td><p>Calculate the pair correlation function in 3 dimensions.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="generated/trackpy.static.cluster.html#trackpy.static.cluster" title="trackpy.static.cluster"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.static.cluster</span></code></a>(f, separation[, ...])</p></td>
+<td><p>Cluster features from one or several frames.</p></td>
+</tr>
+</tbody>
+</table>
+</section>
+<section id="motion-analysis">
+<h2>Motion Analysis<a class="headerlink" href="#motion-analysis" title="Permalink to this heading">¶</a></h2>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="generated/trackpy.motion.msd.html#trackpy.motion.msd" title="trackpy.motion.msd"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.motion.msd</span></code></a>(traj, mpp, fps[, ...])</p></td>
+<td><p>Compute the mean displacement and mean squared displacement of one trajectory over a range of time intervals.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="generated/trackpy.motion.imsd.html#trackpy.motion.imsd" title="trackpy.motion.imsd"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.motion.imsd</span></code></a>(traj, mpp, fps[, ...])</p></td>
+<td><p>Compute the mean squared displacement of each particle.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="generated/trackpy.motion.emsd.html#trackpy.motion.emsd" title="trackpy.motion.emsd"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.motion.emsd</span></code></a>(traj, mpp, fps[, ...])</p></td>
+<td><p>Compute the ensemble mean squared displacements of many particles.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="generated/trackpy.motion.compute_drift.html#trackpy.motion.compute_drift" title="trackpy.motion.compute_drift"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.motion.compute_drift</span></code></a>(traj[, ...])</p></td>
+<td><p>Return the ensemble drift, xy(t).</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="generated/trackpy.motion.subtract_drift.html#trackpy.motion.subtract_drift" title="trackpy.motion.subtract_drift"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.motion.subtract_drift</span></code></a>(traj[, drift, ...])</p></td>
+<td><p>Return a copy of particle trajectories with the overall drift subtracted out.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="generated/trackpy.motion.vanhove.html#trackpy.motion.vanhove" title="trackpy.motion.vanhove"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.motion.vanhove</span></code></a>(pos, lagtime[, mpp, ...])</p></td>
+<td><p>Compute the van Hove correlation (histogram of displacements).</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="generated/trackpy.motion.relate_frames.html#trackpy.motion.relate_frames" title="trackpy.motion.relate_frames"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.motion.relate_frames</span></code></a>(t, frame1, frame2)</p></td>
+<td><p>Find the displacement vector of all particles between two frames.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="generated/trackpy.motion.velocity_corr.html#trackpy.motion.velocity_corr" title="trackpy.motion.velocity_corr"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.motion.velocity_corr</span></code></a>(t, frame1, frame2)</p></td>
+<td><p>Compute the velocity correlation between every pair of particles' displacements.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="generated/trackpy.motion.direction_corr.html#trackpy.motion.direction_corr" title="trackpy.motion.direction_corr"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.motion.direction_corr</span></code></a>(t, frame1, frame2)</p></td>
+<td><p>Compute the cosine between every pair of particles' displacements.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="generated/trackpy.motion.is_typical.html#trackpy.motion.is_typical" title="trackpy.motion.is_typical"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.motion.is_typical</span></code></a>(msds, frame[, ...])</p></td>
+<td><p>Identify which paritcles' MSDs are in the central quantile.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="generated/trackpy.motion.diagonal_size.html#trackpy.motion.diagonal_size" title="trackpy.motion.diagonal_size"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.motion.diagonal_size</span></code></a>(single_trajectory)</p></td>
+<td><p>Measure the diagonal size of a trajectory.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="generated/trackpy.motion.theta_entropy.html#trackpy.motion.theta_entropy" title="trackpy.motion.theta_entropy"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.motion.theta_entropy</span></code></a>(pos[, bins, plot])</p></td>
+<td><p>Plot the distribution of directions and return its Shannon entropy.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="generated/trackpy.motion.min_rolling_theta_entropy.html#trackpy.motion.min_rolling_theta_entropy" title="trackpy.motion.min_rolling_theta_entropy"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.motion.min_rolling_theta_entropy</span></code></a>(pos)</p></td>
+<td><p>Compute the minimum Shannon entropy in any window.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="generated/trackpy.filtering.filter_stubs.html#trackpy.filtering.filter_stubs" title="trackpy.filtering.filter_stubs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.filtering.filter_stubs</span></code></a>(tracks[, ...])</p></td>
+<td><p>Filter out trajectories with few points.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="generated/trackpy.filtering.filter_clusters.html#trackpy.filtering.filter_clusters" title="trackpy.filtering.filter_clusters"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.filtering.filter_clusters</span></code></a>(tracks[, ...])</p></td>
+<td><p>Filter out trajectories with a mean particle size above a given quantile.</p></td>
+</tr>
+</tbody>
+</table>
+</section>
+<section id="prediction-framework">
+<h2>Prediction Framework<a class="headerlink" href="#prediction-framework" title="Permalink to this heading">¶</a></h2>
+<p>Trackpy extends the Crocker–Grier algoritm using a prediction framework, described in the prediction tutorial.</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="generated/trackpy.predict.NullPredict.html#trackpy.predict.NullPredict" title="trackpy.predict.NullPredict"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.predict.NullPredict</span></code></a>()</p></td>
+<td><p>Predict that particles will not move.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="generated/trackpy.predict.ChannelPredict.html#trackpy.predict.ChannelPredict" title="trackpy.predict.ChannelPredict"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.predict.ChannelPredict</span></code></a>(bin_size[, ...])</p></td>
+<td><p>Predict a particle's position based on its spanwise coordinate in a channel.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="generated/trackpy.predict.DriftPredict.html#trackpy.predict.DriftPredict" title="trackpy.predict.DriftPredict"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.predict.DriftPredict</span></code></a>([...])</p></td>
+<td><p>Predict a particle's position based on the mean velocity of all particles.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="generated/trackpy.predict.NearestVelocityPredict.html#trackpy.predict.NearestVelocityPredict" title="trackpy.predict.NearestVelocityPredict"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.predict.NearestVelocityPredict</span></code></a>([...])</p></td>
+<td><p>Predict a particle's position based on the most recent nearby velocity.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="generated/trackpy.predict.predictor.html#trackpy.predict.predictor" title="trackpy.predict.predictor"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.predict.predictor</span></code></a>(predict_func)</p></td>
+<td><p>Decorator to vectorize a predictor function for a single particle.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="generated/trackpy.predict.instrumented.html#trackpy.predict.instrumented" title="trackpy.predict.instrumented"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.predict.instrumented</span></code></a>([limit])</p></td>
+<td><p>Decorate a predictor class and allow it to record inputs and outputs.</p></td>
+</tr>
+</tbody>
+</table>
+</section>
+<section id="plotting-tools">
+<h2>Plotting Tools<a class="headerlink" href="#plotting-tools" title="Permalink to this heading">¶</a></h2>
+<p>Trackpy includes functions for plotting the data in ways that are commonly useful. If you don’t find what you need here, you can plot the data any way you like using matplotlib, seaborn, or any other plotting library.</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="generated/trackpy.annotate.html#trackpy.annotate" title="trackpy.annotate"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.annotate</span></code></a>(centroids, image[, ...])</p></td>
+<td><p>Mark identified features with white circles.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="generated/trackpy.scatter.html#trackpy.scatter" title="trackpy.scatter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.scatter</span></code></a>(centroids[, mpp, cmap, ax, ...])</p></td>
+<td><p>Scatter plot of all particles.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="generated/trackpy.plot_traj.html#trackpy.plot_traj" title="trackpy.plot_traj"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.plot_traj</span></code></a>(traj[, colorby, mpp, ...])</p></td>
+<td><p>Plot traces of trajectories for each particle.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="generated/trackpy.annotate3d.html#trackpy.annotate3d" title="trackpy.annotate3d"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.annotate3d</span></code></a>(centroids, image, **kwargs)</p></td>
+<td><p>Annotates a 3D image and returns a scrollable stack for display in IPython.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="generated/trackpy.scatter3d.html#trackpy.scatter3d" title="trackpy.scatter3d"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.scatter3d</span></code></a>(*args, **kwargs)</p></td>
+<td><p>The 3D equivalent of <cite>scatter</cite>.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="generated/trackpy.plot_traj3d.html#trackpy.plot_traj3d" title="trackpy.plot_traj3d"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.plot_traj3d</span></code></a>(*args, **kwargs)</p></td>
+<td><p>The 3D equivalent of <cite>plot_traj</cite>.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="generated/trackpy.plot_displacements.html#trackpy.plot_displacements" title="trackpy.plot_displacements"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.plot_displacements</span></code></a>(t, frame1, frame2)</p></td>
+<td><p>Plot arrows showing particles displacements between two frames.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="generated/trackpy.subpx_bias.html#trackpy.subpx_bias" title="trackpy.subpx_bias"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.subpx_bias</span></code></a>(f[, pos_columns])</p></td>
+<td><p>Histogram the fractional part of the x and y position.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="generated/trackpy.plot_density_profile.html#trackpy.plot_density_profile" title="trackpy.plot_density_profile"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.plot_density_profile</span></code></a>(f, binsize[, ...])</p></td>
+<td><p>Plot a histogram showing the density profile in one direction.</p></td>
+</tr>
+</tbody>
+</table>
+<p>These two are almost too simple to justify their existence – just a convenient shorthand for a common plotting task.</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="generated/trackpy.mass_ecc.html#trackpy.mass_ecc" title="trackpy.mass_ecc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.mass_ecc</span></code></a>(f[, ax])</p></td>
+<td><p>Plot each particle's mass versus eccentricity.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="generated/trackpy.mass_size.html#trackpy.mass_size" title="trackpy.mass_size"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.mass_size</span></code></a>(f[, ax])</p></td>
+<td><p>Plot each particle's mass versus size.</p></td>
+</tr>
+</tbody>
+</table>
+</section>
+<section id="image-conversion">
+<h2>Image Conversion<a class="headerlink" href="#image-conversion" title="Permalink to this heading">¶</a></h2>
+<p>By default, <code class="xref py py-func docutils literal notranslate"><span class="pre">locate()</span></code> applies a bandpass and a percentile-based
+threshold to the image(s) before finding features. You can turn off this functionality
+using <code class="docutils literal notranslate"><span class="pre">preprocess=False,</span> <span class="pre">percentile=0</span></code>.) In many cases, the default bandpass, which
+guesses good length scales from the <code class="docutils literal notranslate"><span class="pre">diameter</span></code> parameter, “just works.” But if you want
+to executre these steps manually, you can.</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="generated/trackpy.find.percentile_threshold.html#trackpy.find.percentile_threshold" title="trackpy.find.percentile_threshold"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.find.percentile_threshold</span></code></a>(image, ...)</p></td>
+<td><p>Find grayscale threshold based on distribution in image.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="generated/trackpy.preprocessing.bandpass.html#trackpy.preprocessing.bandpass" title="trackpy.preprocessing.bandpass"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.preprocessing.bandpass</span></code></a>(image, ...[, ...])</p></td>
+<td><p>Remove noise and background variation.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="generated/trackpy.preprocessing.lowpass.html#trackpy.preprocessing.lowpass" title="trackpy.preprocessing.lowpass"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.preprocessing.lowpass</span></code></a>(image[, ...])</p></td>
+<td><p>Remove noise by convolving with a Gaussian.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="generated/trackpy.preprocessing.scale_to_gamut.html#trackpy.preprocessing.scale_to_gamut" title="trackpy.preprocessing.scale_to_gamut"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.preprocessing.scale_to_gamut</span></code></a>(image, ...)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="generated/trackpy.preprocessing.invert_image.html#trackpy.preprocessing.invert_image" title="trackpy.preprocessing.invert_image"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.preprocessing.invert_image</span></code></a>(raw_image)</p></td>
+<td><p>This function has been made lazy.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="generated/trackpy.preprocessing.convert_to_int.html#trackpy.preprocessing.convert_to_int" title="trackpy.preprocessing.convert_to_int"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.preprocessing.convert_to_int</span></code></a>(image)</p></td>
+<td><p>Convert the image to integer and normalize if applicable.</p></td>
+</tr>
+</tbody>
+</table>
+</section>
+<section id="framewise-data-storage-retrieval-interface">
+<h2>Framewise Data Storage &amp; Retrieval Interface<a class="headerlink" href="#framewise-data-storage-retrieval-interface" title="Permalink to this heading">¶</a></h2>
+<p>Trackpy implements a generic interface that could be used to store and
+retrieve particle tracking data in any file format. We hope that it can
+make it easier for researchers who use different file formats to exchange data. Any in-house format could be accessed using the same simple interface in trackpy.</p>
+<p>At present, the interface is implemented only for HDF5 files. There are
+several different implementations, each with different performance
+optimizations. <a class="reference internal" href="generated/trackpy.PandasHDFStoreBig.html#trackpy.PandasHDFStoreBig" title="trackpy.framewise_data.PandasHDFStoreBig"><code class="xref py py-class docutils literal notranslate"><span class="pre">PandasHDFStoreBig</span></code></a> is a good general-purpose choice.</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="generated/trackpy.PandasHDFStore.html#trackpy.PandasHDFStore" title="trackpy.PandasHDFStore"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.PandasHDFStore</span></code></a>(filename[, mode, ...])</p></td>
+<td><p>An interface to an HDF5 file with framewise access, using pandas.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="generated/trackpy.PandasHDFStoreBig.html#trackpy.PandasHDFStoreBig" title="trackpy.PandasHDFStoreBig"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.PandasHDFStoreBig</span></code></a>(filename[, mode, ...])</p></td>
+<td><p>Like PandasHDFStore, but keeps a cache of frame numbers.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="generated/trackpy.PandasHDFStoreSingleNode.html#trackpy.PandasHDFStoreSingleNode" title="trackpy.PandasHDFStoreSingleNode"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.PandasHDFStoreSingleNode</span></code></a>(filename[, ...])</p></td>
+<td><p>An interface to an HDF5 file with framewise access, using pandas, that is faster for cross-frame queries.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="generated/trackpy.FramewiseData.html#trackpy.FramewiseData" title="trackpy.FramewiseData"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.FramewiseData</span></code></a>()</p></td>
+<td><p>Abstract base class defining a data container with framewise access.</p></td>
+</tr>
+</tbody>
+</table>
+<p>That last class cannot be used directly; it is meant to be subclassed
+to support other formats. See <em>Writing Your Own Interface</em> in the streaming tutorial for
+more.</p>
+</section>
+<section id="logging">
+<h2>Logging<a class="headerlink" href="#logging" title="Permalink to this heading">¶</a></h2>
+<p>Trackpy issues log messages. This functionality is mainly used to report the
+progress of lengthy jobs, but it may be used in the future to report details of
+feature-finding and linking for debugging purposes.</p>
+<p>When trackpy is imported, it automatically calls <cite>handle_logging()</cite>, which sets
+the logging level and attaches a logging handler that plays nicely with
+IPython notebooks. You can override this by calling <cite>ignore_logging()</cite> and
+configuring the logger however you like.</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="generated/trackpy.quiet.html#trackpy.quiet" title="trackpy.quiet"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.quiet</span></code></a>([suppress])</p></td>
+<td><p>Suppress trackpy information log messages.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="generated/trackpy.handle_logging.html#trackpy.handle_logging" title="trackpy.handle_logging"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.handle_logging</span></code></a>()</p></td>
+<td><p>Send INFO-level log messages to stdout.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="generated/trackpy.ignore_logging.html#trackpy.ignore_logging" title="trackpy.ignore_logging"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.ignore_logging</span></code></a>()</p></td>
+<td><p>Reset to factory default logging configuration; remove trackpy's handler.</p></td>
+</tr>
+</tbody>
+</table>
+</section>
+<section id="utility-functions">
+<h2>Utility functions<a class="headerlink" href="#utility-functions" title="Permalink to this heading">¶</a></h2>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="generated/trackpy.minmass_v03_change.html#trackpy.minmass_v03_change" title="trackpy.minmass_v03_change"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.minmass_v03_change</span></code></a>(raw_image, ...[, ...])</p></td>
+<td><p>Convert minmass value from v0.2.4 to v0.3.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="generated/trackpy.minmass_v04_change.html#trackpy.minmass_v04_change" title="trackpy.minmass_v04_change"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.minmass_v04_change</span></code></a>(raw_image, ...[, ...])</p></td>
+<td><p>Convert minmass value from v0.3 to v0.4.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="generated/trackpy.utils.fit_powerlaw.html#trackpy.utils.fit_powerlaw" title="trackpy.utils.fit_powerlaw"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.utils.fit_powerlaw</span></code></a>(data[, plot])</p></td>
+<td><p>Fit a powerlaw by doing a linear regression in log space.</p></td>
+</tr>
+</tbody>
+</table>
+</section>
+<section id="diagnostic-functions">
+<h2>Diagnostic functions<a class="headerlink" href="#diagnostic-functions" title="Permalink to this heading">¶</a></h2>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="generated/trackpy.diag.performance_report.html#trackpy.diag.performance_report" title="trackpy.diag.performance_report"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.diag.performance_report</span></code></a>()</p></td>
+<td><p>Display summary of which optional speedups are installed/enabled</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="generated/trackpy.diag.dependencies.html#trackpy.diag.dependencies" title="trackpy.diag.dependencies"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.diag.dependencies</span></code></a>()</p></td>
+<td><p>Give the version of each of the dependencies -- useful for bug reports.</p></td>
+</tr>
+</tbody>
+</table>
+</section>
+<section id="low-level-api-advanced">
+<h2>Low-Level API (Advanced)<a class="headerlink" href="#low-level-api-advanced" title="Permalink to this heading">¶</a></h2>
+<section id="switching-between-numba-and-pure-python">
+<h3>Switching Between Numba and Pure Python<a class="headerlink" href="#switching-between-numba-and-pure-python" title="Permalink to this heading">¶</a></h3>
+<p>Trackpy implements the most intensive (read: slowest) parts of the core feature-finding and linking algorithm in pure Python (with numpy) and also in <a class="reference external" href="http://numba.pydata.org/">numba</a>, which accelerates Python code. Numba can offer a major performance boost, but it is still relatively new, and it can be challenging to use. If numba is available, trackpy will use the numba implementation by default; otherwise, it will use pure Python. The following functions allow sophisticated users to manually switch between numba and pure-Python modes. This may be used, for example, to measure the performance of these two implementations on your data.</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="generated/trackpy.enable_numba.html#trackpy.enable_numba" title="trackpy.enable_numba"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.enable_numba</span></code></a>()</p></td>
+<td><p>Use numba-accelerated variants of core functions.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="generated/trackpy.disable_numba.html#trackpy.disable_numba" title="trackpy.disable_numba"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.disable_numba</span></code></a>()</p></td>
+<td><p>Do not use numba-accelerated functions, even if numba is available.</p></td>
+</tr>
+</tbody>
+</table>
+</section>
+<section id="low-level-linking-api">
+<h3>Low-Level Linking API<a class="headerlink" href="#low-level-linking-api" title="Permalink to this heading">¶</a></h3>
+<p>All of the linking functions in trackpy provide the same level of control over the linking algorithm itself. For almost all users, the functions above will be sufficient. But <code class="xref py py-func docutils literal notranslate"><span class="pre">link_df()</span></code> and <code class="xref py py-func docutils literal notranslate"><span class="pre">link_df_iter()</span></code> above do assume that the data is stored in a pandas DataFrame. For users who want to use some other iterable data structure, the functions below provide direct access to the linking code.</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="generated/trackpy.link_iter.html#trackpy.link_iter" title="trackpy.link_iter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.link_iter</span></code></a>(coords_iter, search_range)</p></td>
+<td><p>Link an iterable of per-frame coordinates into trajectories.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="generated/trackpy.link.html#trackpy.link" title="trackpy.link"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.link</span></code></a>(f, search_range[, pos_columns, ...])</p></td>
+<td><p>Link a DataFrame of coordinates into trajectories.</p></td>
+</tr>
+</tbody>
+</table>
+<p>And the following classes can be subclassed to implement a customized linking procedure.</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="generated/trackpy.SubnetOversizeException.html#trackpy.SubnetOversizeException" title="trackpy.SubnetOversizeException"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.SubnetOversizeException</span></code></a></p></td>
+<td><p>An <code class="xref py py-exc docutils literal notranslate"><span class="pre">Exception</span></code> to be raised when the sub-nets are too big to be efficiently linked.</p></td>
+</tr>
+</tbody>
+</table>
+</section>
+<section id="masks">
+<h3>Masks<a class="headerlink" href="#masks" title="Permalink to this heading">¶</a></h3>
+<p>These functions may also be useful for rolling your own algorithms:</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="generated/trackpy.masks.binary_mask.html#trackpy.masks.binary_mask" title="trackpy.masks.binary_mask"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.masks.binary_mask</span></code></a>(radius, ndim)</p></td>
+<td><p>Elliptical mask in a rectangular array</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="generated/trackpy.masks.r_squared_mask.html#trackpy.masks.r_squared_mask" title="trackpy.masks.r_squared_mask"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.masks.r_squared_mask</span></code></a>(radius, ndim)</p></td>
+<td><p>Mask with values r^2 inside radius and 0 outside</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="generated/trackpy.masks.x_squared_masks.html#trackpy.masks.x_squared_masks" title="trackpy.masks.x_squared_masks"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.masks.x_squared_masks</span></code></a>(radius, ndim)</p></td>
+<td><p>Returns ndim masks with values x^2 inside radius and 0 outside</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="generated/trackpy.masks.cosmask.html#trackpy.masks.cosmask" title="trackpy.masks.cosmask"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.masks.cosmask</span></code></a>(radius)</p></td>
+<td><p>Sin of theta_mask</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="generated/trackpy.masks.sinmask.html#trackpy.masks.sinmask" title="trackpy.masks.sinmask"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.masks.sinmask</span></code></a>(radius)</p></td>
+<td><p>Sin of theta_mask</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="generated/trackpy.masks.theta_mask.html#trackpy.masks.theta_mask" title="trackpy.masks.theta_mask"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.masks.theta_mask</span></code></a>(radius)</p></td>
+<td><p>Mask of values giving angular position relative to center.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="generated/trackpy.masks.gaussian_kernel.html#trackpy.masks.gaussian_kernel" title="trackpy.masks.gaussian_kernel"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.masks.gaussian_kernel</span></code></a>(sigma[, truncate])</p></td>
+<td><p>1D discretized gaussian</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="generated/trackpy.masks.mask_image.html#trackpy.masks.mask_image" title="trackpy.masks.mask_image"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.masks.mask_image</span></code></a>(pos, image, radius)</p></td>
+<td><p>Masks an image so that pixels farther than radius to all given feature positions become 0.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="generated/trackpy.masks.slice_image.html#trackpy.masks.slice_image" title="trackpy.masks.slice_image"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.masks.slice_image</span></code></a>(pos, image, radius)</p></td>
+<td><p>Slice a box around a group of features from an image.</p></td>
+</tr>
+</tbody>
+</table>
+</section>
+</section>
+<section id="full-api-reference">
+<h2>Full API reference<a class="headerlink" href="#full-api-reference" title="Permalink to this heading">¶</a></h2>
+<p>A full overview of all modules and functions can be found below:</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="generated/trackpy.html#module-trackpy" title="trackpy"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</section>
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="_sources/api.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
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+  </body>
+</html>
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diff --git a/trackpy/v0.6.2/examples/index.html b/trackpy/v0.6.2/examples/index.html
new file mode 100644
index 00000000..bb5de12b
--- /dev/null
+++ b/trackpy/v0.6.2/examples/index.html
@@ -0,0 +1,209 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>Example gallery &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
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+<script type="text/javascript" src="../_static/js/jquery-1.12.4.min.js"></script>
+<script type="text/javascript" src="../_static/js/jquery-fix.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-3.4.1/js/bootstrap.min.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-sphinx.js"></script>
+
+  </head><body>
+
+  <div id="navbar" class="navbar navbar-default navbar-fixed-top">
+    <div class="container">
+      <div class="navbar-header">
+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
+            
+            
+              <li class="dropdown globaltoc-container">
+  <a role="button"
+     id="dLabelGlobalToc"
+     data-toggle="dropdown"
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+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">Example gallery</a></li>
+</ul>
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+            
+            
+            
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+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <style type="text/css">
+.figure {
+    position: relative;
+    float: left;
+    margin: 10px;
+    width: 180px;
+    height: 200px;
+}
+
+.figure img {
+    position: absolute;
+    display: inline;
+    left: 0;
+    width: 170px;
+    height: 170px;
+    opacity:1.0;
+    filter:alpha(opacity=100); /* For IE8 and earlier */
+}
+
+.figure:hover img {
+    -webkit-filter: blur(3px);
+    -moz-filter: blur(3px);
+    -o-filter: blur(3px);
+    -ms-filter: blur(3px);
+    filter: blur(3px);
+    opacity:1.0;
+    filter:alpha(opacity=100); /* For IE8 and earlier */
+}
+
+.figure span {
+    position: absolute;
+    display: inline;
+    left: 0;
+    width: 170px;
+    height: 170px;
+    background: #000;
+    color: #fff;
+    visibility: hidden;
+    opacity: 0;
+    z-index: 100;
+}
+
+.figure p {
+    position: absolute;
+    top: 45%;
+    width: 170px;
+    font-size: 110%;
+}
+
+.figure:hover span {
+    visibility: visible;
+    opacity: .4;
+}
+
+.caption {
+    position: absolute;
+    width: 180px;
+    top: 170px;
+    text-align: center !important;
+}
+</style><section id="example-gallery">
+<span id="id1"></span><h1>Example gallery<a class="headerlink" href="#example-gallery" title="Permalink to this heading">¶</a></h1>
+<div class="toctree-wrapper compound">
+</div>
+<div style="clear: both"></div></section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/examples/index.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.FramewiseData.close.html b/trackpy/v0.6.2/generated/trackpy.FramewiseData.close.html
new file mode 100644
index 00000000..02936fbb
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.FramewiseData.close.html
@@ -0,0 +1,152 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.FramewiseData.close &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
+<meta name='viewport' content='width=device-width, initial-scale=1.0, maximum-scale=1'>
+<meta name="apple-mobile-web-app-capable" content="yes">
+<script type="text/javascript" src="../_static/js/jquery-1.12.4.min.js"></script>
+<script type="text/javascript" src="../_static/js/jquery-fix.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-3.4.1/js/bootstrap.min.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-sphinx.js"></script>
+
+  </head><body>
+
+  <div id="navbar" class="navbar navbar-default navbar-fixed-top">
+    <div class="container">
+      <div class="navbar-header">
+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
+            
+            
+              <li class="dropdown globaltoc-container">
+  <a role="button"
+     id="dLabelGlobalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="../index.html">Site <b class="caret"></b></a>
+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul>
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.FramewiseData.close</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-framewisedata-close">
+<h1>trackpy.FramewiseData.close<a class="headerlink" href="#trackpy-framewisedata-close" title="Permalink to this heading">¶</a></h1>
+<dl class="py method">
+<dt class="sig sig-object py" id="trackpy.FramewiseData.close">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">FramewiseData.</span></span><span class="sig-name descname"><span class="pre">close</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.FramewiseData.close" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.FramewiseData.close.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.FramewiseData.dump.html b/trackpy/v0.6.2/generated/trackpy.FramewiseData.dump.html
new file mode 100644
index 00000000..279d00f2
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.FramewiseData.dump.html
@@ -0,0 +1,166 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.FramewiseData.dump &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
+<meta name='viewport' content='width=device-width, initial-scale=1.0, maximum-scale=1'>
+<meta name="apple-mobile-web-app-capable" content="yes">
+<script type="text/javascript" src="../_static/js/jquery-1.12.4.min.js"></script>
+<script type="text/javascript" src="../_static/js/jquery-fix.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-3.4.1/js/bootstrap.min.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-sphinx.js"></script>
+
+  </head><body>
+
+  <div id="navbar" class="navbar navbar-default navbar-fixed-top">
+    <div class="container">
+      <div class="navbar-header">
+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
+            
+            
+              <li class="dropdown globaltoc-container">
+  <a role="button"
+     id="dLabelGlobalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="../index.html">Site <b class="caret"></b></a>
+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul>
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.FramewiseData.dump</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-framewisedata-dump">
+<h1>trackpy.FramewiseData.dump<a class="headerlink" href="#trackpy-framewisedata-dump" title="Permalink to this heading">¶</a></h1>
+<dl class="py method">
+<dt class="sig sig-object py" id="trackpy.FramewiseData.dump">
+<span class="sig-prename descclassname"><span class="pre">FramewiseData.</span></span><span class="sig-name descname"><span class="pre">dump</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">N</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.FramewiseData.dump" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return data from all, or the first N, frames in a single DataFrame</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><dl class="simple">
+<dt><strong>N</strong><span class="classifier">integer</span></dt><dd><p>optional; if None, return all frames</p>
+</dd>
+</dl>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><dl class="simple">
+<dt>DataFrame</dt><dd></dd>
+</dl>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.FramewiseData.dump.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.FramewiseData.frames.html b/trackpy/v0.6.2/generated/trackpy.FramewiseData.frames.html
new file mode 100644
index 00000000..1ff16036
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.FramewiseData.frames.html
@@ -0,0 +1,152 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.FramewiseData.frames &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
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+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
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+    <script src="../_static/doctools.js"></script>
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+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
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+                <li><a href="../tutorial.html">Tutorial</a></li>
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+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.FramewiseData.frames</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
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+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-framewisedata-frames">
+<h1>trackpy.FramewiseData.frames<a class="headerlink" href="#trackpy-framewisedata-frames" title="Permalink to this heading">¶</a></h1>
+<dl class="py property">
+<dt class="sig sig-object py" id="trackpy.FramewiseData.frames">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span><span class="pre">property</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">FramewiseData.</span></span><span class="sig-name descname"><span class="pre">frames</span></span><a class="headerlink" href="#trackpy.FramewiseData.frames" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.FramewiseData.frames.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.FramewiseData.get.html b/trackpy/v0.6.2/generated/trackpy.FramewiseData.get.html
new file mode 100644
index 00000000..f98cbd20
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.FramewiseData.get.html
@@ -0,0 +1,152 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.FramewiseData.get &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
+<meta name='viewport' content='width=device-width, initial-scale=1.0, maximum-scale=1'>
+<meta name="apple-mobile-web-app-capable" content="yes">
+<script type="text/javascript" src="../_static/js/jquery-1.12.4.min.js"></script>
+<script type="text/javascript" src="../_static/js/jquery-fix.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-3.4.1/js/bootstrap.min.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-sphinx.js"></script>
+
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+
+  <div id="navbar" class="navbar navbar-default navbar-fixed-top">
+    <div class="container">
+      <div class="navbar-header">
+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
+            
+            
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+  <a role="button"
+     id="dLabelGlobalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="../index.html">Site <b class="caret"></b></a>
+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul>
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.FramewiseData.get</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-framewisedata-get">
+<h1>trackpy.FramewiseData.get<a class="headerlink" href="#trackpy-framewisedata-get" title="Permalink to this heading">¶</a></h1>
+<dl class="py method">
+<dt class="sig sig-object py" id="trackpy.FramewiseData.get">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">FramewiseData.</span></span><span class="sig-name descname"><span class="pre">get</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">frame_no</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.FramewiseData.get" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.FramewiseData.get.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.FramewiseData.html b/trackpy/v0.6.2/generated/trackpy.FramewiseData.html
new file mode 100644
index 00000000..48e3e0cc
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.FramewiseData.html
@@ -0,0 +1,155 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.FramewiseData &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+    <link rel="next" title="trackpy.quiet" href="trackpy.quiet.html" />
+    <link rel="prev" title="trackpy.PandasHDFStoreSingleNode" href="trackpy.PandasHDFStoreSingleNode.html" />
+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
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+<script type="text/javascript" src="../_static/js/jquery-1.12.4.min.js"></script>
+<script type="text/javascript" src="../_static/js/jquery-fix.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-3.4.1/js/bootstrap.min.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-sphinx.js"></script>
+
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+
+  <div id="navbar" class="navbar navbar-default navbar-fixed-top">
+    <div class="container">
+      <div class="navbar-header">
+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
+            
+            
+              <li class="dropdown globaltoc-container">
+  <a role="button"
+     id="dLabelGlobalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="../index.html">Site <b class="caret"></b></a>
+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.FramewiseData</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-framewisedata">
+<h1>trackpy.FramewiseData<a class="headerlink" href="#trackpy-framewisedata" title="Permalink to this heading">¶</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="trackpy.FramewiseData">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">trackpy.</span></span><span class="sig-name descname"><span class="pre">FramewiseData</span></span><a class="headerlink" href="#trackpy.FramewiseData" title="Permalink to this definition">¶</a></dt>
+<dd><p>Abstract base class defining a data container with framewise access.</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.FramewiseData.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.FramewiseData.max_frame.html b/trackpy/v0.6.2/generated/trackpy.FramewiseData.max_frame.html
new file mode 100644
index 00000000..4862f8be
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.FramewiseData.max_frame.html
@@ -0,0 +1,152 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.FramewiseData.max_frame &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
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+        <a class="navbar-brand" href="../index.html">
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+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
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+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.FramewiseData.max_frame</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
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+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-framewisedata-max-frame">
+<h1>trackpy.FramewiseData.max_frame<a class="headerlink" href="#trackpy-framewisedata-max-frame" title="Permalink to this heading">¶</a></h1>
+<dl class="py property">
+<dt class="sig sig-object py" id="trackpy.FramewiseData.max_frame">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">FramewiseData.</span></span><span class="sig-name descname"><span class="pre">max_frame</span></span><a class="headerlink" href="#trackpy.FramewiseData.max_frame" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.FramewiseData.max_frame.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.FramewiseData.put.html b/trackpy/v0.6.2/generated/trackpy.FramewiseData.put.html
new file mode 100644
index 00000000..2e774bb7
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.FramewiseData.put.html
@@ -0,0 +1,152 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.FramewiseData.put &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
+<meta name='viewport' content='width=device-width, initial-scale=1.0, maximum-scale=1'>
+<meta name="apple-mobile-web-app-capable" content="yes">
+<script type="text/javascript" src="../_static/js/jquery-1.12.4.min.js"></script>
+<script type="text/javascript" src="../_static/js/jquery-fix.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-3.4.1/js/bootstrap.min.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-sphinx.js"></script>
+
+  </head><body>
+
+  <div id="navbar" class="navbar navbar-default navbar-fixed-top">
+    <div class="container">
+      <div class="navbar-header">
+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
+            
+            
+              <li class="dropdown globaltoc-container">
+  <a role="button"
+     id="dLabelGlobalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="../index.html">Site <b class="caret"></b></a>
+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul>
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.FramewiseData.put</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-framewisedata-put">
+<h1>trackpy.FramewiseData.put<a class="headerlink" href="#trackpy-framewisedata-put" title="Permalink to this heading">¶</a></h1>
+<dl class="py method">
+<dt class="sig sig-object py" id="trackpy.FramewiseData.put">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">FramewiseData.</span></span><span class="sig-name descname"><span class="pre">put</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.FramewiseData.put" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.FramewiseData.put.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.FramewiseData.t_column.html b/trackpy/v0.6.2/generated/trackpy.FramewiseData.t_column.html
new file mode 100644
index 00000000..c1aaa7ab
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.FramewiseData.t_column.html
@@ -0,0 +1,152 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.FramewiseData.t_column &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
+<meta name='viewport' content='width=device-width, initial-scale=1.0, maximum-scale=1'>
+<meta name="apple-mobile-web-app-capable" content="yes">
+<script type="text/javascript" src="../_static/js/jquery-1.12.4.min.js"></script>
+<script type="text/javascript" src="../_static/js/jquery-fix.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-3.4.1/js/bootstrap.min.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-sphinx.js"></script>
+
+  </head><body>
+
+  <div id="navbar" class="navbar navbar-default navbar-fixed-top">
+    <div class="container">
+      <div class="navbar-header">
+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
+            
+            
+              <li class="dropdown globaltoc-container">
+  <a role="button"
+     id="dLabelGlobalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="../index.html">Site <b class="caret"></b></a>
+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul>
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.FramewiseData.t_column</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-framewisedata-t-column">
+<h1>trackpy.FramewiseData.t_column<a class="headerlink" href="#trackpy-framewisedata-t-column" title="Permalink to this heading">¶</a></h1>
+<dl class="py property">
+<dt class="sig sig-object py" id="trackpy.FramewiseData.t_column">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span><span class="pre">property</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">FramewiseData.</span></span><span class="sig-name descname"><span class="pre">t_column</span></span><a class="headerlink" href="#trackpy.FramewiseData.t_column" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.FramewiseData.t_column.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.PandasHDFStore.close.html b/trackpy/v0.6.2/generated/trackpy.PandasHDFStore.close.html
new file mode 100644
index 00000000..009153ed
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.PandasHDFStore.close.html
@@ -0,0 +1,152 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.PandasHDFStore.close &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
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+<script type="text/javascript" src="../_static/js/jquery-1.12.4.min.js"></script>
+<script type="text/javascript" src="../_static/js/jquery-fix.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-3.4.1/js/bootstrap.min.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-sphinx.js"></script>
+
+  </head><body>
+
+  <div id="navbar" class="navbar navbar-default navbar-fixed-top">
+    <div class="container">
+      <div class="navbar-header">
+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
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+      role="menu"
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+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.PandasHDFStore.close</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
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+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-pandashdfstore-close">
+<h1>trackpy.PandasHDFStore.close<a class="headerlink" href="#trackpy-pandashdfstore-close" title="Permalink to this heading">¶</a></h1>
+<dl class="py method">
+<dt class="sig sig-object py" id="trackpy.PandasHDFStore.close">
+<span class="sig-prename descclassname"><span class="pre">PandasHDFStore.</span></span><span class="sig-name descname"><span class="pre">close</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.PandasHDFStore.close" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.PandasHDFStore.close.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.PandasHDFStore.dump.html b/trackpy/v0.6.2/generated/trackpy.PandasHDFStore.dump.html
new file mode 100644
index 00000000..cf124ed6
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.PandasHDFStore.dump.html
@@ -0,0 +1,166 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.PandasHDFStore.dump &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
+<meta name='viewport' content='width=device-width, initial-scale=1.0, maximum-scale=1'>
+<meta name="apple-mobile-web-app-capable" content="yes">
+<script type="text/javascript" src="../_static/js/jquery-1.12.4.min.js"></script>
+<script type="text/javascript" src="../_static/js/jquery-fix.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-3.4.1/js/bootstrap.min.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-sphinx.js"></script>
+
+  </head><body>
+
+  <div id="navbar" class="navbar navbar-default navbar-fixed-top">
+    <div class="container">
+      <div class="navbar-header">
+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
+            
+            
+              <li class="dropdown globaltoc-container">
+  <a role="button"
+     id="dLabelGlobalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="../index.html">Site <b class="caret"></b></a>
+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul>
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.PandasHDFStore.dump</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-pandashdfstore-dump">
+<h1>trackpy.PandasHDFStore.dump<a class="headerlink" href="#trackpy-pandashdfstore-dump" title="Permalink to this heading">¶</a></h1>
+<dl class="py method">
+<dt class="sig sig-object py" id="trackpy.PandasHDFStore.dump">
+<span class="sig-prename descclassname"><span class="pre">PandasHDFStore.</span></span><span class="sig-name descname"><span class="pre">dump</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">N</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.PandasHDFStore.dump" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return data from all, or the first N, frames in a single DataFrame</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><dl class="simple">
+<dt><strong>N</strong><span class="classifier">integer</span></dt><dd><p>optional; if None, return all frames</p>
+</dd>
+</dl>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><dl class="simple">
+<dt>DataFrame</dt><dd></dd>
+</dl>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.PandasHDFStore.dump.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.PandasHDFStore.frames.html b/trackpy/v0.6.2/generated/trackpy.PandasHDFStore.frames.html
new file mode 100644
index 00000000..40c1de14
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.PandasHDFStore.frames.html
@@ -0,0 +1,153 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.PandasHDFStore.frames &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
+<meta name='viewport' content='width=device-width, initial-scale=1.0, maximum-scale=1'>
+<meta name="apple-mobile-web-app-capable" content="yes">
+<script type="text/javascript" src="../_static/js/jquery-1.12.4.min.js"></script>
+<script type="text/javascript" src="../_static/js/jquery-fix.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-3.4.1/js/bootstrap.min.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-sphinx.js"></script>
+
+  </head><body>
+
+  <div id="navbar" class="navbar navbar-default navbar-fixed-top">
+    <div class="container">
+      <div class="navbar-header">
+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
+            
+            
+              <li class="dropdown globaltoc-container">
+  <a role="button"
+     id="dLabelGlobalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="../index.html">Site <b class="caret"></b></a>
+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul>
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.PandasHDFStore.frames</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-pandashdfstore-frames">
+<h1>trackpy.PandasHDFStore.frames<a class="headerlink" href="#trackpy-pandashdfstore-frames" title="Permalink to this heading">¶</a></h1>
+<dl class="py property">
+<dt class="sig sig-object py" id="trackpy.PandasHDFStore.frames">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">PandasHDFStore.</span></span><span class="sig-name descname"><span class="pre">frames</span></span><a class="headerlink" href="#trackpy.PandasHDFStore.frames" title="Permalink to this definition">¶</a></dt>
+<dd><p>Returns sorted list of integer frame numbers in file</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.PandasHDFStore.frames.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.PandasHDFStore.get.html b/trackpy/v0.6.2/generated/trackpy.PandasHDFStore.get.html
new file mode 100644
index 00000000..222e14f3
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.PandasHDFStore.get.html
@@ -0,0 +1,152 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.PandasHDFStore.get &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
+<meta name='viewport' content='width=device-width, initial-scale=1.0, maximum-scale=1'>
+<meta name="apple-mobile-web-app-capable" content="yes">
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+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
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+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
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+
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+                <li><a href="../tutorial.html">Tutorial</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.PandasHDFStore.get</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
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+          
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+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-pandashdfstore-get">
+<h1>trackpy.PandasHDFStore.get<a class="headerlink" href="#trackpy-pandashdfstore-get" title="Permalink to this heading">¶</a></h1>
+<dl class="py method">
+<dt class="sig sig-object py" id="trackpy.PandasHDFStore.get">
+<span class="sig-prename descclassname"><span class="pre">PandasHDFStore.</span></span><span class="sig-name descname"><span class="pre">get</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">frame_no</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.PandasHDFStore.get" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.PandasHDFStore.get.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.PandasHDFStore.html b/trackpy/v0.6.2/generated/trackpy.PandasHDFStore.html
new file mode 100644
index 00000000..4fa19668
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.PandasHDFStore.html
@@ -0,0 +1,158 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.PandasHDFStore &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
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+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+    <link rel="next" title="trackpy.PandasHDFStoreBig" href="trackpy.PandasHDFStoreBig.html" />
+    <link rel="prev" title="trackpy.preprocessing.convert_to_int" href="trackpy.preprocessing.convert_to_int.html" />
+<meta charset='utf-8'>
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+<script type="text/javascript" src="../_static/bootstrap-3.4.1/js/bootstrap.min.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-sphinx.js"></script>
+
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+    <div class="container">
+      <div class="navbar-header">
+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
+            
+            
+              <li class="dropdown globaltoc-container">
+  <a role="button"
+     id="dLabelGlobalToc"
+     data-toggle="dropdown"
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+     href="../index.html">Site <b class="caret"></b></a>
+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.PandasHDFStore</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-pandashdfstore">
+<h1>trackpy.PandasHDFStore<a class="headerlink" href="#trackpy-pandashdfstore" title="Permalink to this heading">¶</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="trackpy.PandasHDFStore">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">trackpy.</span></span><span class="sig-name descname"><span class="pre">PandasHDFStore</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filename</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'a'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_column</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'frame'</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.PandasHDFStore" title="Permalink to this definition">¶</a></dt>
+<dd><p>An interface to an HDF5 file with framewise access, using pandas.</p>
+<p>Save each frame’s data to a node in a pandas HDFStore.</p>
+<p>Any additional keyword arguments to the constructor are passed to
+pandas.HDFStore().</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.PandasHDFStore.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.PandasHDFStore.max_frame.html b/trackpy/v0.6.2/generated/trackpy.PandasHDFStore.max_frame.html
new file mode 100644
index 00000000..612771b2
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.PandasHDFStore.max_frame.html
@@ -0,0 +1,152 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.PandasHDFStore.max_frame &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
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+<script type="text/javascript" src="../_static/js/jquery-fix.js"></script>
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+<script type="text/javascript" src="../_static/bootstrap-sphinx.js"></script>
+
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+
+  <div id="navbar" class="navbar navbar-default navbar-fixed-top">
+    <div class="container">
+      <div class="navbar-header">
+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
+            
+            
+              <li class="dropdown globaltoc-container">
+  <a role="button"
+     id="dLabelGlobalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="../index.html">Site <b class="caret"></b></a>
+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul>
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.PandasHDFStore.max_frame</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-pandashdfstore-max-frame">
+<h1>trackpy.PandasHDFStore.max_frame<a class="headerlink" href="#trackpy-pandashdfstore-max-frame" title="Permalink to this heading">¶</a></h1>
+<dl class="py property">
+<dt class="sig sig-object py" id="trackpy.PandasHDFStore.max_frame">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">PandasHDFStore.</span></span><span class="sig-name descname"><span class="pre">max_frame</span></span><a class="headerlink" href="#trackpy.PandasHDFStore.max_frame" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.PandasHDFStore.max_frame.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.PandasHDFStore.put.html b/trackpy/v0.6.2/generated/trackpy.PandasHDFStore.put.html
new file mode 100644
index 00000000..ee00b9ac
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.PandasHDFStore.put.html
@@ -0,0 +1,152 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.PandasHDFStore.put &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
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+<meta name="apple-mobile-web-app-capable" content="yes">
+<script type="text/javascript" src="../_static/js/jquery-1.12.4.min.js"></script>
+<script type="text/javascript" src="../_static/js/jquery-fix.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-3.4.1/js/bootstrap.min.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-sphinx.js"></script>
+
+  </head><body>
+
+  <div id="navbar" class="navbar navbar-default navbar-fixed-top">
+    <div class="container">
+      <div class="navbar-header">
+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
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+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
+            
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+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul>
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.PandasHDFStore.put</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-pandashdfstore-put">
+<h1>trackpy.PandasHDFStore.put<a class="headerlink" href="#trackpy-pandashdfstore-put" title="Permalink to this heading">¶</a></h1>
+<dl class="py method">
+<dt class="sig sig-object py" id="trackpy.PandasHDFStore.put">
+<span class="sig-prename descclassname"><span class="pre">PandasHDFStore.</span></span><span class="sig-name descname"><span class="pre">put</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.PandasHDFStore.put" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.PandasHDFStore.put.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.PandasHDFStore.t_column.html b/trackpy/v0.6.2/generated/trackpy.PandasHDFStore.t_column.html
new file mode 100644
index 00000000..5b9b8542
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.PandasHDFStore.t_column.html
@@ -0,0 +1,152 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.PandasHDFStore.t_column &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
+<meta name='viewport' content='width=device-width, initial-scale=1.0, maximum-scale=1'>
+<meta name="apple-mobile-web-app-capable" content="yes">
+<script type="text/javascript" src="../_static/js/jquery-1.12.4.min.js"></script>
+<script type="text/javascript" src="../_static/js/jquery-fix.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-3.4.1/js/bootstrap.min.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-sphinx.js"></script>
+
+  </head><body>
+
+  <div id="navbar" class="navbar navbar-default navbar-fixed-top">
+    <div class="container">
+      <div class="navbar-header">
+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
+            
+            
+              <li class="dropdown globaltoc-container">
+  <a role="button"
+     id="dLabelGlobalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="../index.html">Site <b class="caret"></b></a>
+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul>
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.PandasHDFStore.t_column</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-pandashdfstore-t-column">
+<h1>trackpy.PandasHDFStore.t_column<a class="headerlink" href="#trackpy-pandashdfstore-t-column" title="Permalink to this heading">¶</a></h1>
+<dl class="py property">
+<dt class="sig sig-object py" id="trackpy.PandasHDFStore.t_column">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">PandasHDFStore.</span></span><span class="sig-name descname"><span class="pre">t_column</span></span><a class="headerlink" href="#trackpy.PandasHDFStore.t_column" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.PandasHDFStore.t_column.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.PandasHDFStoreBig.close.html b/trackpy/v0.6.2/generated/trackpy.PandasHDFStoreBig.close.html
new file mode 100644
index 00000000..fb22046c
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.PandasHDFStoreBig.close.html
@@ -0,0 +1,153 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.PandasHDFStoreBig.close &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
+<meta name='viewport' content='width=device-width, initial-scale=1.0, maximum-scale=1'>
+<meta name="apple-mobile-web-app-capable" content="yes">
+<script type="text/javascript" src="../_static/js/jquery-1.12.4.min.js"></script>
+<script type="text/javascript" src="../_static/js/jquery-fix.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-3.4.1/js/bootstrap.min.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-sphinx.js"></script>
+
+  </head><body>
+
+  <div id="navbar" class="navbar navbar-default navbar-fixed-top">
+    <div class="container">
+      <div class="navbar-header">
+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
+            
+            
+              <li class="dropdown globaltoc-container">
+  <a role="button"
+     id="dLabelGlobalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="../index.html">Site <b class="caret"></b></a>
+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul>
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.PandasHDFStoreBig.close</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-pandashdfstorebig-close">
+<h1>trackpy.PandasHDFStoreBig.close<a class="headerlink" href="#trackpy-pandashdfstorebig-close" title="Permalink to this heading">¶</a></h1>
+<dl class="py method">
+<dt class="sig sig-object py" id="trackpy.PandasHDFStoreBig.close">
+<span class="sig-prename descclassname"><span class="pre">PandasHDFStoreBig.</span></span><span class="sig-name descname"><span class="pre">close</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.PandasHDFStoreBig.close" title="Permalink to this definition">¶</a></dt>
+<dd><p>Updates cache, writes if necessary, then closes file.</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.PandasHDFStoreBig.close.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.PandasHDFStoreBig.dump.html b/trackpy/v0.6.2/generated/trackpy.PandasHDFStoreBig.dump.html
new file mode 100644
index 00000000..bfe0cffe
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.PandasHDFStoreBig.dump.html
@@ -0,0 +1,166 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.PandasHDFStoreBig.dump &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
+<meta name='viewport' content='width=device-width, initial-scale=1.0, maximum-scale=1'>
+<meta name="apple-mobile-web-app-capable" content="yes">
+<script type="text/javascript" src="../_static/js/jquery-1.12.4.min.js"></script>
+<script type="text/javascript" src="../_static/js/jquery-fix.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-3.4.1/js/bootstrap.min.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-sphinx.js"></script>
+
+  </head><body>
+
+  <div id="navbar" class="navbar navbar-default navbar-fixed-top">
+    <div class="container">
+      <div class="navbar-header">
+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
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+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.PandasHDFStoreBig.dump</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-pandashdfstorebig-dump">
+<h1>trackpy.PandasHDFStoreBig.dump<a class="headerlink" href="#trackpy-pandashdfstorebig-dump" title="Permalink to this heading">¶</a></h1>
+<dl class="py method">
+<dt class="sig sig-object py" id="trackpy.PandasHDFStoreBig.dump">
+<span class="sig-prename descclassname"><span class="pre">PandasHDFStoreBig.</span></span><span class="sig-name descname"><span class="pre">dump</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">N</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.PandasHDFStoreBig.dump" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return data from all, or the first N, frames in a single DataFrame</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><dl class="simple">
+<dt><strong>N</strong><span class="classifier">integer</span></dt><dd><p>optional; if None, return all frames</p>
+</dd>
+</dl>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><dl class="simple">
+<dt>DataFrame</dt><dd></dd>
+</dl>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.PandasHDFStoreBig.dump.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.PandasHDFStoreBig.frames.html b/trackpy/v0.6.2/generated/trackpy.PandasHDFStoreBig.frames.html
new file mode 100644
index 00000000..f2331fbe
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.PandasHDFStoreBig.frames.html
@@ -0,0 +1,153 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.PandasHDFStoreBig.frames &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
+<meta name='viewport' content='width=device-width, initial-scale=1.0, maximum-scale=1'>
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+<script type="text/javascript" src="../_static/js/jquery-1.12.4.min.js"></script>
+<script type="text/javascript" src="../_static/js/jquery-fix.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-3.4.1/js/bootstrap.min.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-sphinx.js"></script>
+
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+    <div class="container">
+      <div class="navbar-header">
+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
+            
+            
+              <li class="dropdown globaltoc-container">
+  <a role="button"
+     id="dLabelGlobalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="../index.html">Site <b class="caret"></b></a>
+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul>
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.PandasHDFStoreBig.frames</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-pandashdfstorebig-frames">
+<h1>trackpy.PandasHDFStoreBig.frames<a class="headerlink" href="#trackpy-pandashdfstorebig-frames" title="Permalink to this heading">¶</a></h1>
+<dl class="py property">
+<dt class="sig sig-object py" id="trackpy.PandasHDFStoreBig.frames">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">PandasHDFStoreBig.</span></span><span class="sig-name descname"><span class="pre">frames</span></span><a class="headerlink" href="#trackpy.PandasHDFStoreBig.frames" title="Permalink to this definition">¶</a></dt>
+<dd><p>Returns sorted list of integer frame numbers in file</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.PandasHDFStoreBig.frames.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.PandasHDFStoreBig.get.html b/trackpy/v0.6.2/generated/trackpy.PandasHDFStoreBig.get.html
new file mode 100644
index 00000000..17f5ee25
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.PandasHDFStoreBig.get.html
@@ -0,0 +1,152 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.PandasHDFStoreBig.get &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
+<meta name='viewport' content='width=device-width, initial-scale=1.0, maximum-scale=1'>
+<meta name="apple-mobile-web-app-capable" content="yes">
+<script type="text/javascript" src="../_static/js/jquery-1.12.4.min.js"></script>
+<script type="text/javascript" src="../_static/js/jquery-fix.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-3.4.1/js/bootstrap.min.js"></script>
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+
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+
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+    <div class="container">
+      <div class="navbar-header">
+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
+            
+            
+              <li class="dropdown globaltoc-container">
+  <a role="button"
+     id="dLabelGlobalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="../index.html">Site <b class="caret"></b></a>
+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul>
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.PandasHDFStoreBig.get</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-pandashdfstorebig-get">
+<h1>trackpy.PandasHDFStoreBig.get<a class="headerlink" href="#trackpy-pandashdfstorebig-get" title="Permalink to this heading">¶</a></h1>
+<dl class="py method">
+<dt class="sig sig-object py" id="trackpy.PandasHDFStoreBig.get">
+<span class="sig-prename descclassname"><span class="pre">PandasHDFStoreBig.</span></span><span class="sig-name descname"><span class="pre">get</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">frame_no</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.PandasHDFStoreBig.get" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.PandasHDFStoreBig.get.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.PandasHDFStoreBig.html b/trackpy/v0.6.2/generated/trackpy.PandasHDFStoreBig.html
new file mode 100644
index 00000000..0a9bdeb0
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.PandasHDFStoreBig.html
@@ -0,0 +1,161 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.PandasHDFStoreBig &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+    <link rel="next" title="trackpy.PandasHDFStoreSingleNode" href="trackpy.PandasHDFStoreSingleNode.html" />
+    <link rel="prev" title="trackpy.PandasHDFStore" href="trackpy.PandasHDFStore.html" />
+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
+<meta name='viewport' content='width=device-width, initial-scale=1.0, maximum-scale=1'>
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+<script type="text/javascript" src="../_static/bootstrap-sphinx.js"></script>
+
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+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
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+          <span class="icon-bar"></span>
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+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
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+
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+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
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+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.PandasHDFStoreBig</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-pandashdfstorebig">
+<h1>trackpy.PandasHDFStoreBig<a class="headerlink" href="#trackpy-pandashdfstorebig" title="Permalink to this heading">¶</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="trackpy.PandasHDFStoreBig">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">trackpy.</span></span><span class="sig-name descname"><span class="pre">PandasHDFStoreBig</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filename</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'a'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_column</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'frame'</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.PandasHDFStoreBig" title="Permalink to this definition">¶</a></dt>
+<dd><p>Like PandasHDFStore, but keeps a cache of frame numbers.</p>
+<p>This can give a large performance boost when a file contains thousands
+of frames.</p>
+<p>If a file was made in PandasHDFStore, opening it with this class
+and then closing it will add a cache (if mode != ‘r’).</p>
+<p>Any additional keyword arguments to the constructor are passed to
+pandas.HDFStore().</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.PandasHDFStoreBig.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.PandasHDFStoreBig.max_frame.html b/trackpy/v0.6.2/generated/trackpy.PandasHDFStoreBig.max_frame.html
new file mode 100644
index 00000000..e7765795
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.PandasHDFStoreBig.max_frame.html
@@ -0,0 +1,152 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.PandasHDFStoreBig.max_frame &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
+<meta name='viewport' content='width=device-width, initial-scale=1.0, maximum-scale=1'>
+<meta name="apple-mobile-web-app-capable" content="yes">
+<script type="text/javascript" src="../_static/js/jquery-1.12.4.min.js"></script>
+<script type="text/javascript" src="../_static/js/jquery-fix.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-3.4.1/js/bootstrap.min.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-sphinx.js"></script>
+
+  </head><body>
+
+  <div id="navbar" class="navbar navbar-default navbar-fixed-top">
+    <div class="container">
+      <div class="navbar-header">
+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
+            
+            
+              <li class="dropdown globaltoc-container">
+  <a role="button"
+     id="dLabelGlobalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="../index.html">Site <b class="caret"></b></a>
+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul>
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.PandasHDFStoreBig.max_frame</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-pandashdfstorebig-max-frame">
+<h1>trackpy.PandasHDFStoreBig.max_frame<a class="headerlink" href="#trackpy-pandashdfstorebig-max-frame" title="Permalink to this heading">¶</a></h1>
+<dl class="py property">
+<dt class="sig sig-object py" id="trackpy.PandasHDFStoreBig.max_frame">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">PandasHDFStoreBig.</span></span><span class="sig-name descname"><span class="pre">max_frame</span></span><a class="headerlink" href="#trackpy.PandasHDFStoreBig.max_frame" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.PandasHDFStoreBig.max_frame.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.PandasHDFStoreBig.put.html b/trackpy/v0.6.2/generated/trackpy.PandasHDFStoreBig.put.html
new file mode 100644
index 00000000..e4f213d9
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.PandasHDFStoreBig.put.html
@@ -0,0 +1,152 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.PandasHDFStoreBig.put &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
+<meta name='viewport' content='width=device-width, initial-scale=1.0, maximum-scale=1'>
+<meta name="apple-mobile-web-app-capable" content="yes">
+<script type="text/javascript" src="../_static/js/jquery-1.12.4.min.js"></script>
+<script type="text/javascript" src="../_static/js/jquery-fix.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-3.4.1/js/bootstrap.min.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-sphinx.js"></script>
+
+  </head><body>
+
+  <div id="navbar" class="navbar navbar-default navbar-fixed-top">
+    <div class="container">
+      <div class="navbar-header">
+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
+            
+            
+              <li class="dropdown globaltoc-container">
+  <a role="button"
+     id="dLabelGlobalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="../index.html">Site <b class="caret"></b></a>
+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul>
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.PandasHDFStoreBig.put</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-pandashdfstorebig-put">
+<h1>trackpy.PandasHDFStoreBig.put<a class="headerlink" href="#trackpy-pandashdfstorebig-put" title="Permalink to this heading">¶</a></h1>
+<dl class="py method">
+<dt class="sig sig-object py" id="trackpy.PandasHDFStoreBig.put">
+<span class="sig-prename descclassname"><span class="pre">PandasHDFStoreBig.</span></span><span class="sig-name descname"><span class="pre">put</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.PandasHDFStoreBig.put" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.PandasHDFStoreBig.put.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.PandasHDFStoreBig.rebuild_cache.html b/trackpy/v0.6.2/generated/trackpy.PandasHDFStoreBig.rebuild_cache.html
new file mode 100644
index 00000000..b2be30f1
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.PandasHDFStoreBig.rebuild_cache.html
@@ -0,0 +1,153 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.PandasHDFStoreBig.rebuild_cache &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
+<meta name='viewport' content='width=device-width, initial-scale=1.0, maximum-scale=1'>
+<meta name="apple-mobile-web-app-capable" content="yes">
+<script type="text/javascript" src="../_static/js/jquery-1.12.4.min.js"></script>
+<script type="text/javascript" src="../_static/js/jquery-fix.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-3.4.1/js/bootstrap.min.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-sphinx.js"></script>
+
+  </head><body>
+
+  <div id="navbar" class="navbar navbar-default navbar-fixed-top">
+    <div class="container">
+      <div class="navbar-header">
+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
+            
+            
+              <li class="dropdown globaltoc-container">
+  <a role="button"
+     id="dLabelGlobalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="../index.html">Site <b class="caret"></b></a>
+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul>
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.PandasHDFStoreBig.rebuild_cache</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-pandashdfstorebig-rebuild-cache">
+<h1>trackpy.PandasHDFStoreBig.rebuild_cache<a class="headerlink" href="#trackpy-pandashdfstorebig-rebuild-cache" title="Permalink to this heading">¶</a></h1>
+<dl class="py method">
+<dt class="sig sig-object py" id="trackpy.PandasHDFStoreBig.rebuild_cache">
+<span class="sig-prename descclassname"><span class="pre">PandasHDFStoreBig.</span></span><span class="sig-name descname"><span class="pre">rebuild_cache</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.PandasHDFStoreBig.rebuild_cache" title="Permalink to this definition">¶</a></dt>
+<dd><p>Delete cache on disk and rebuild it.</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.PandasHDFStoreBig.rebuild_cache.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.PandasHDFStoreBig.t_column.html b/trackpy/v0.6.2/generated/trackpy.PandasHDFStoreBig.t_column.html
new file mode 100644
index 00000000..1ca73054
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.PandasHDFStoreBig.t_column.html
@@ -0,0 +1,152 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.PandasHDFStoreBig.t_column &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
+<meta name='viewport' content='width=device-width, initial-scale=1.0, maximum-scale=1'>
+<meta name="apple-mobile-web-app-capable" content="yes">
+<script type="text/javascript" src="../_static/js/jquery-1.12.4.min.js"></script>
+<script type="text/javascript" src="../_static/js/jquery-fix.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-3.4.1/js/bootstrap.min.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-sphinx.js"></script>
+
+  </head><body>
+
+  <div id="navbar" class="navbar navbar-default navbar-fixed-top">
+    <div class="container">
+      <div class="navbar-header">
+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
+            
+            
+              <li class="dropdown globaltoc-container">
+  <a role="button"
+     id="dLabelGlobalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="../index.html">Site <b class="caret"></b></a>
+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul>
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.PandasHDFStoreBig.t_column</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-pandashdfstorebig-t-column">
+<h1>trackpy.PandasHDFStoreBig.t_column<a class="headerlink" href="#trackpy-pandashdfstorebig-t-column" title="Permalink to this heading">¶</a></h1>
+<dl class="py property">
+<dt class="sig sig-object py" id="trackpy.PandasHDFStoreBig.t_column">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">PandasHDFStoreBig.</span></span><span class="sig-name descname"><span class="pre">t_column</span></span><a class="headerlink" href="#trackpy.PandasHDFStoreBig.t_column" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.PandasHDFStoreBig.t_column.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.PandasHDFStoreSingleNode.close.html b/trackpy/v0.6.2/generated/trackpy.PandasHDFStoreSingleNode.close.html
new file mode 100644
index 00000000..0fe5a52b
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.PandasHDFStoreSingleNode.close.html
@@ -0,0 +1,152 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.PandasHDFStoreSingleNode.close &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
+<meta name='viewport' content='width=device-width, initial-scale=1.0, maximum-scale=1'>
+<meta name="apple-mobile-web-app-capable" content="yes">
+<script type="text/javascript" src="../_static/js/jquery-1.12.4.min.js"></script>
+<script type="text/javascript" src="../_static/js/jquery-fix.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-3.4.1/js/bootstrap.min.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-sphinx.js"></script>
+
+  </head><body>
+
+  <div id="navbar" class="navbar navbar-default navbar-fixed-top">
+    <div class="container">
+      <div class="navbar-header">
+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
+            
+            
+              <li class="dropdown globaltoc-container">
+  <a role="button"
+     id="dLabelGlobalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="../index.html">Site <b class="caret"></b></a>
+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul>
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.PandasHDFStoreSingleNode.close</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-pandashdfstoresinglenode-close">
+<h1>trackpy.PandasHDFStoreSingleNode.close<a class="headerlink" href="#trackpy-pandashdfstoresinglenode-close" title="Permalink to this heading">¶</a></h1>
+<dl class="py method">
+<dt class="sig sig-object py" id="trackpy.PandasHDFStoreSingleNode.close">
+<span class="sig-prename descclassname"><span class="pre">PandasHDFStoreSingleNode.</span></span><span class="sig-name descname"><span class="pre">close</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.PandasHDFStoreSingleNode.close" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.PandasHDFStoreSingleNode.close.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.PandasHDFStoreSingleNode.dump.html b/trackpy/v0.6.2/generated/trackpy.PandasHDFStoreSingleNode.dump.html
new file mode 100644
index 00000000..4b5da1bc
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.PandasHDFStoreSingleNode.dump.html
@@ -0,0 +1,166 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.PandasHDFStoreSingleNode.dump &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
+<meta name='viewport' content='width=device-width, initial-scale=1.0, maximum-scale=1'>
+<meta name="apple-mobile-web-app-capable" content="yes">
+<script type="text/javascript" src="../_static/js/jquery-1.12.4.min.js"></script>
+<script type="text/javascript" src="../_static/js/jquery-fix.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-3.4.1/js/bootstrap.min.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-sphinx.js"></script>
+
+  </head><body>
+
+  <div id="navbar" class="navbar navbar-default navbar-fixed-top">
+    <div class="container">
+      <div class="navbar-header">
+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.PandasHDFStoreSingleNode.dump</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-pandashdfstoresinglenode-dump">
+<h1>trackpy.PandasHDFStoreSingleNode.dump<a class="headerlink" href="#trackpy-pandashdfstoresinglenode-dump" title="Permalink to this heading">¶</a></h1>
+<dl class="py method">
+<dt class="sig sig-object py" id="trackpy.PandasHDFStoreSingleNode.dump">
+<span class="sig-prename descclassname"><span class="pre">PandasHDFStoreSingleNode.</span></span><span class="sig-name descname"><span class="pre">dump</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">N</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.PandasHDFStoreSingleNode.dump" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return data from all, or the first N, frames in a single DataFrame</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><dl class="simple">
+<dt><strong>N</strong><span class="classifier">integer</span></dt><dd><p>optional; if None, return all frames</p>
+</dd>
+</dl>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><dl class="simple">
+<dt>DataFrame</dt><dd></dd>
+</dl>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.PandasHDFStoreSingleNode.dump.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.PandasHDFStoreSingleNode.frames.html b/trackpy/v0.6.2/generated/trackpy.PandasHDFStoreSingleNode.frames.html
new file mode 100644
index 00000000..ef97ff54
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.PandasHDFStoreSingleNode.frames.html
@@ -0,0 +1,153 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.PandasHDFStoreSingleNode.frames &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
+<meta name='viewport' content='width=device-width, initial-scale=1.0, maximum-scale=1'>
+<meta name="apple-mobile-web-app-capable" content="yes">
+<script type="text/javascript" src="../_static/js/jquery-1.12.4.min.js"></script>
+<script type="text/javascript" src="../_static/js/jquery-fix.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-3.4.1/js/bootstrap.min.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-sphinx.js"></script>
+
+  </head><body>
+
+  <div id="navbar" class="navbar navbar-default navbar-fixed-top">
+    <div class="container">
+      <div class="navbar-header">
+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
+            
+            
+              <li class="dropdown globaltoc-container">
+  <a role="button"
+     id="dLabelGlobalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="../index.html">Site <b class="caret"></b></a>
+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul>
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.PandasHDFStoreSingleNode.frames</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-pandashdfstoresinglenode-frames">
+<h1>trackpy.PandasHDFStoreSingleNode.frames<a class="headerlink" href="#trackpy-pandashdfstoresinglenode-frames" title="Permalink to this heading">¶</a></h1>
+<dl class="py property">
+<dt class="sig sig-object py" id="trackpy.PandasHDFStoreSingleNode.frames">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">PandasHDFStoreSingleNode.</span></span><span class="sig-name descname"><span class="pre">frames</span></span><a class="headerlink" href="#trackpy.PandasHDFStoreSingleNode.frames" title="Permalink to this definition">¶</a></dt>
+<dd><p>Returns sorted list of integer frame numbers in file</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.PandasHDFStoreSingleNode.frames.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.PandasHDFStoreSingleNode.get.html b/trackpy/v0.6.2/generated/trackpy.PandasHDFStoreSingleNode.get.html
new file mode 100644
index 00000000..1cefdbc3
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.PandasHDFStoreSingleNode.get.html
@@ -0,0 +1,152 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.PandasHDFStoreSingleNode.get &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
+<meta name='viewport' content='width=device-width, initial-scale=1.0, maximum-scale=1'>
+<meta name="apple-mobile-web-app-capable" content="yes">
+<script type="text/javascript" src="../_static/js/jquery-1.12.4.min.js"></script>
+<script type="text/javascript" src="../_static/js/jquery-fix.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-3.4.1/js/bootstrap.min.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-sphinx.js"></script>
+
+  </head><body>
+
+  <div id="navbar" class="navbar navbar-default navbar-fixed-top">
+    <div class="container">
+      <div class="navbar-header">
+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
+            
+            
+              <li class="dropdown globaltoc-container">
+  <a role="button"
+     id="dLabelGlobalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="../index.html">Site <b class="caret"></b></a>
+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul>
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.PandasHDFStoreSingleNode.get</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-pandashdfstoresinglenode-get">
+<h1>trackpy.PandasHDFStoreSingleNode.get<a class="headerlink" href="#trackpy-pandashdfstoresinglenode-get" title="Permalink to this heading">¶</a></h1>
+<dl class="py method">
+<dt class="sig sig-object py" id="trackpy.PandasHDFStoreSingleNode.get">
+<span class="sig-prename descclassname"><span class="pre">PandasHDFStoreSingleNode.</span></span><span class="sig-name descname"><span class="pre">get</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">frame_no</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.PandasHDFStoreSingleNode.get" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.PandasHDFStoreSingleNode.get.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.PandasHDFStoreSingleNode.html b/trackpy/v0.6.2/generated/trackpy.PandasHDFStoreSingleNode.html
new file mode 100644
index 00000000..d349362b
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.PandasHDFStoreSingleNode.html
@@ -0,0 +1,161 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.PandasHDFStoreSingleNode &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+    <link rel="next" title="trackpy.FramewiseData" href="trackpy.FramewiseData.html" />
+    <link rel="prev" title="trackpy.PandasHDFStoreBig" href="trackpy.PandasHDFStoreBig.html" />
+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
+<meta name='viewport' content='width=device-width, initial-scale=1.0, maximum-scale=1'>
+<meta name="apple-mobile-web-app-capable" content="yes">
+<script type="text/javascript" src="../_static/js/jquery-1.12.4.min.js"></script>
+<script type="text/javascript" src="../_static/js/jquery-fix.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-3.4.1/js/bootstrap.min.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-sphinx.js"></script>
+
+  </head><body>
+
+  <div id="navbar" class="navbar navbar-default navbar-fixed-top">
+    <div class="container">
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+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
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+     id="dLabelGlobalToc"
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+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.PandasHDFStoreSingleNode</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-pandashdfstoresinglenode">
+<h1>trackpy.PandasHDFStoreSingleNode<a class="headerlink" href="#trackpy-pandashdfstoresinglenode" title="Permalink to this heading">¶</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="trackpy.PandasHDFStoreSingleNode">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">trackpy.</span></span><span class="sig-name descname"><span class="pre">PandasHDFStoreSingleNode</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">filename</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">key</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'FrameData'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'a'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_column</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'frame'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_tabular_copy</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.PandasHDFStoreSingleNode" title="Permalink to this definition">¶</a></dt>
+<dd><p>An interface to an HDF5 file with framewise access,
+using pandas, that is faster for cross-frame queries.</p>
+<p>This implementation is more complex than PandasHDFStore,
+but it simplifies (speeds up?) cross-frame queries,
+like queries for a single probe’s entire trajectory.</p>
+<p>Any additional keyword arguments to the constructor are passed to
+pandas.HDFStore().</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.PandasHDFStoreSingleNode.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.PandasHDFStoreSingleNode.max_frame.html b/trackpy/v0.6.2/generated/trackpy.PandasHDFStoreSingleNode.max_frame.html
new file mode 100644
index 00000000..db5cca48
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.PandasHDFStoreSingleNode.max_frame.html
@@ -0,0 +1,152 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.PandasHDFStoreSingleNode.max_frame &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
+<meta name='viewport' content='width=device-width, initial-scale=1.0, maximum-scale=1'>
+<meta name="apple-mobile-web-app-capable" content="yes">
+<script type="text/javascript" src="../_static/js/jquery-1.12.4.min.js"></script>
+<script type="text/javascript" src="../_static/js/jquery-fix.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-3.4.1/js/bootstrap.min.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-sphinx.js"></script>
+
+  </head><body>
+
+  <div id="navbar" class="navbar navbar-default navbar-fixed-top">
+    <div class="container">
+      <div class="navbar-header">
+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
+            
+            
+              <li class="dropdown globaltoc-container">
+  <a role="button"
+     id="dLabelGlobalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="../index.html">Site <b class="caret"></b></a>
+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul>
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.PandasHDFStoreSingleNode.max_frame</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-pandashdfstoresinglenode-max-frame">
+<h1>trackpy.PandasHDFStoreSingleNode.max_frame<a class="headerlink" href="#trackpy-pandashdfstoresinglenode-max-frame" title="Permalink to this heading">¶</a></h1>
+<dl class="py property">
+<dt class="sig sig-object py" id="trackpy.PandasHDFStoreSingleNode.max_frame">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">PandasHDFStoreSingleNode.</span></span><span class="sig-name descname"><span class="pre">max_frame</span></span><a class="headerlink" href="#trackpy.PandasHDFStoreSingleNode.max_frame" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.PandasHDFStoreSingleNode.max_frame.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.PandasHDFStoreSingleNode.put.html b/trackpy/v0.6.2/generated/trackpy.PandasHDFStoreSingleNode.put.html
new file mode 100644
index 00000000..bb75f2d8
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.PandasHDFStoreSingleNode.put.html
@@ -0,0 +1,152 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.PandasHDFStoreSingleNode.put &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
+<meta name='viewport' content='width=device-width, initial-scale=1.0, maximum-scale=1'>
+<meta name="apple-mobile-web-app-capable" content="yes">
+<script type="text/javascript" src="../_static/js/jquery-1.12.4.min.js"></script>
+<script type="text/javascript" src="../_static/js/jquery-fix.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-3.4.1/js/bootstrap.min.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-sphinx.js"></script>
+
+  </head><body>
+
+  <div id="navbar" class="navbar navbar-default navbar-fixed-top">
+    <div class="container">
+      <div class="navbar-header">
+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
+            
+            
+              <li class="dropdown globaltoc-container">
+  <a role="button"
+     id="dLabelGlobalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="../index.html">Site <b class="caret"></b></a>
+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul>
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.PandasHDFStoreSingleNode.put</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-pandashdfstoresinglenode-put">
+<h1>trackpy.PandasHDFStoreSingleNode.put<a class="headerlink" href="#trackpy-pandashdfstoresinglenode-put" title="Permalink to this heading">¶</a></h1>
+<dl class="py method">
+<dt class="sig sig-object py" id="trackpy.PandasHDFStoreSingleNode.put">
+<span class="sig-prename descclassname"><span class="pre">PandasHDFStoreSingleNode.</span></span><span class="sig-name descname"><span class="pre">put</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">df</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.PandasHDFStoreSingleNode.put" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.PandasHDFStoreSingleNode.put.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.PandasHDFStoreSingleNode.t_column.html b/trackpy/v0.6.2/generated/trackpy.PandasHDFStoreSingleNode.t_column.html
new file mode 100644
index 00000000..3dc8c073
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.PandasHDFStoreSingleNode.t_column.html
@@ -0,0 +1,152 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.PandasHDFStoreSingleNode.t_column &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
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+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
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+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
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+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.PandasHDFStoreSingleNode.t_column</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-pandashdfstoresinglenode-t-column">
+<h1>trackpy.PandasHDFStoreSingleNode.t_column<a class="headerlink" href="#trackpy-pandashdfstoresinglenode-t-column" title="Permalink to this heading">¶</a></h1>
+<dl class="py property">
+<dt class="sig sig-object py" id="trackpy.PandasHDFStoreSingleNode.t_column">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">PandasHDFStoreSingleNode.</span></span><span class="sig-name descname"><span class="pre">t_column</span></span><a class="headerlink" href="#trackpy.PandasHDFStoreSingleNode.t_column" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.PandasHDFStoreSingleNode.t_column.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.SubnetOversizeException.html b/trackpy/v0.6.2/generated/trackpy.SubnetOversizeException.html
new file mode 100644
index 00000000..d3a9c86b
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.SubnetOversizeException.html
@@ -0,0 +1,157 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.SubnetOversizeException &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+    <link rel="next" title="trackpy.masks.binary_mask" href="trackpy.masks.binary_mask.html" />
+    <link rel="prev" title="trackpy.disable_numba" href="trackpy.disable_numba.html" />
+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
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+
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+
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+    <div class="container">
+      <div class="navbar-header">
+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
+            
+            
+              <li class="dropdown globaltoc-container">
+  <a role="button"
+     id="dLabelGlobalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="../index.html">Site <b class="caret"></b></a>
+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.SubnetOversizeException</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-subnetoversizeexception">
+<h1>trackpy.SubnetOversizeException<a class="headerlink" href="#trackpy-subnetoversizeexception" title="Permalink to this heading">¶</a></h1>
+<dl class="py exception">
+<dt class="sig sig-object py" id="trackpy.SubnetOversizeException">
+<em class="property"><span class="pre">exception</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">trackpy.</span></span><span class="sig-name descname"><span class="pre">SubnetOversizeException</span></span><a class="headerlink" href="#trackpy.SubnetOversizeException" title="Permalink to this definition">¶</a></dt>
+<dd><p>An <code class="xref py py-exc docutils literal notranslate"><span class="pre">Exception</span></code> to be raised when the sub-nets are too big
+to be efficiently linked.  If you get this then either reduce your search range
+or increase <code class="xref py py-attr docutils literal notranslate"><span class="pre">Linker.MAX_SUB_NET_SIZE</span></code></p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.SubnetOversizeException.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.annotate.html b/trackpy/v0.6.2/generated/trackpy.annotate.html
new file mode 100644
index 00000000..3246b3c3
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.annotate.html
@@ -0,0 +1,193 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.annotate &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+    <link rel="next" title="trackpy.scatter" href="trackpy.scatter.html" />
+    <link rel="prev" title="trackpy.predict.instrumented" href="trackpy.predict.instrumented.html" />
+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
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+<script type="text/javascript" src="../_static/bootstrap-sphinx.js"></script>
+
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+
+  <div id="navbar" class="navbar navbar-default navbar-fixed-top">
+    <div class="container">
+      <div class="navbar-header">
+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
+            
+            
+              <li class="dropdown globaltoc-container">
+  <a role="button"
+     id="dLabelGlobalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="../index.html">Site <b class="caret"></b></a>
+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.annotate</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-annotate">
+<h1>trackpy.annotate<a class="headerlink" href="#trackpy-annotate" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.annotate">
+<span class="sig-prename descclassname"><span class="pre">trackpy.</span></span><span class="sig-name descname"><span class="pre">annotate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">centroids</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">image</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">circle_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">color</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">invert</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ax</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">split_category</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">split_thresh</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">imshow_style</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plot_style</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.annotate" title="Permalink to this definition">¶</a></dt>
+<dd><p>Mark identified features with white circles.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><dl class="simple">
+<dt><strong>centroids</strong><span class="classifier">DataFrame including columns x and y</span></dt><dd></dd>
+<dt><strong>image</strong><span class="classifier">image array (or string path to image file)</span></dt><dd></dd>
+<dt><strong>circle_size</strong><span class="classifier">Deprecated.</span></dt><dd><p>This will be removed in a future version of trackpy.
+Use <cite>plot_style={‘markersize’: …}</cite> instead.</p>
+</dd>
+<dt><strong>color</strong><span class="classifier">single matplotlib color or a list of multiple colors</span></dt><dd><p>default None</p>
+</dd>
+<dt><strong>invert</strong><span class="classifier">If you give a filepath as the image, specify whether to invert</span></dt><dd><p>black and white. Default True.</p>
+</dd>
+<dt><strong>ax</strong><span class="classifier">matplotlib axes object, defaults to current axes</span></dt><dd></dd>
+<dt><strong>split_category</strong><span class="classifier">string, parameter to use to split the data into sections</span></dt><dd><p>default None</p>
+</dd>
+<dt><strong>split_thresh</strong><span class="classifier">single value or list of ints or floats to split</span></dt><dd><p>particles into sections for plotting in multiple colors.
+List items should be ordered by increasing value.
+default None</p>
+</dd>
+<dt><strong>imshow_style</strong><span class="classifier">dictionary of keyword arguments passed through to</span></dt><dd><p>the <cite>Axes.imshow(…)</cite> command the displays the image</p>
+</dd>
+<dt><strong>plot_style</strong><span class="classifier">dictionary of keyword arguments passed through to</span></dt><dd><p>the <cite>Axes.plot(…)</cite> command that marks the features</p>
+</dd>
+</dl>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><dl class="simple">
+<dt>Axes object</dt><dd></dd>
+</dl>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<dl class="simple">
+<dt><a class="reference internal" href="trackpy.annotate3d.html#trackpy.annotate3d" title="trackpy.annotate3d"><code class="xref py py-obj docutils literal notranslate"><span class="pre">annotate3d</span></code></a></dt><dd><p>The 3D equivalent that returns a scrollable stack.</p>
+</dd>
+</dl>
+</div>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.annotate.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.annotate3d.html b/trackpy/v0.6.2/generated/trackpy.annotate3d.html
new file mode 100644
index 00000000..9fe091f9
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.annotate3d.html
@@ -0,0 +1,194 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.annotate3d &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+    <link rel="next" title="trackpy.scatter3d" href="trackpy.scatter3d.html" />
+    <link rel="prev" title="trackpy.plot_traj" href="trackpy.plot_traj.html" />
+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
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+<meta name="apple-mobile-web-app-capable" content="yes">
+<script type="text/javascript" src="../_static/js/jquery-1.12.4.min.js"></script>
+<script type="text/javascript" src="../_static/js/jquery-fix.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-3.4.1/js/bootstrap.min.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-sphinx.js"></script>
+
+  </head><body>
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+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
+            
+            
+              <li class="dropdown globaltoc-container">
+  <a role="button"
+     id="dLabelGlobalToc"
+     data-toggle="dropdown"
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+     href="../index.html">Site <b class="caret"></b></a>
+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.annotate3d</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-annotate3d">
+<h1>trackpy.annotate3d<a class="headerlink" href="#trackpy-annotate3d" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.annotate3d">
+<span class="sig-prename descclassname"><span class="pre">trackpy.</span></span><span class="sig-name descname"><span class="pre">annotate3d</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">centroids</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">image</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.annotate3d" title="Permalink to this definition">¶</a></dt>
+<dd><p>Annotates a 3D image and returns a scrollable stack for display in
+IPython.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><dl class="simple">
+<dt><strong>centroids</strong><span class="classifier">DataFrame including columns x and y</span></dt><dd></dd>
+<dt><strong>image</strong><span class="classifier">image array (or string path to image file)</span></dt><dd></dd>
+<dt><strong>circle_size</strong><span class="classifier">Deprecated.</span></dt><dd><p>This will be removed in a future version of trackpy.
+Use <cite>plot_style={‘markersize’: …}</cite> instead.</p>
+</dd>
+<dt><strong>color</strong><span class="classifier">single matplotlib color or a list of multiple colors</span></dt><dd><p>default None</p>
+</dd>
+<dt><strong>invert</strong><span class="classifier">If you give a filepath as the image, specify whether to invert</span></dt><dd><p>black and white. Default True.</p>
+</dd>
+<dt><strong>ax</strong><span class="classifier">matplotlib axes object, defaults to current axes</span></dt><dd></dd>
+<dt><strong>split_category</strong><span class="classifier">string, parameter to use to split the data into sections</span></dt><dd><p>default None</p>
+</dd>
+<dt><strong>split_thresh</strong><span class="classifier">single value or list of ints or floats to split</span></dt><dd><p>particles into sections for plotting in multiple colors.
+List items should be ordered by increasing value.
+default None</p>
+</dd>
+<dt><strong>imshow_style</strong><span class="classifier">dictionary of keyword arguments passed through to</span></dt><dd><p>the <cite>Axes.imshow(…)</cite> command the displays the image</p>
+</dd>
+<dt><strong>plot_style</strong><span class="classifier">dictionary of keyword arguments passed through to</span></dt><dd><p>the <cite>Axes.plot(…)</cite> command that marks the features</p>
+</dd>
+</dl>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><dl class="simple">
+<dt>pims.Frame object containing a three-dimensional RGBA image</dt><dd></dd>
+</dl>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<dl class="simple">
+<dt><a class="reference internal" href="trackpy.annotate.html#trackpy.annotate" title="trackpy.annotate"><code class="xref py py-obj docutils literal notranslate"><span class="pre">annotate</span></code></a></dt><dd><p>annotation of 2D images</p>
+</dd>
+</dl>
+</div>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.annotate3d.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.api.html b/trackpy/v0.6.2/generated/trackpy.api.html
new file mode 100644
index 00000000..ee1549be
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.api.html
@@ -0,0 +1,149 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.api &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+    <link rel="next" title="trackpy.artificial" href="trackpy.artificial.html" />
+    <link rel="prev" title="trackpy" href="trackpy.html" />
+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
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+<script type="text/javascript" src="../_static/js/jquery-fix.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-3.4.1/js/bootstrap.min.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-sphinx.js"></script>
+
+  </head><body>
+
+  <div id="navbar" class="navbar navbar-default navbar-fixed-top">
+    <div class="container">
+      <div class="navbar-header">
+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
+            
+            
+              <li class="dropdown globaltoc-container">
+  <a role="button"
+     id="dLabelGlobalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="../index.html">Site <b class="caret"></b></a>
+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.api</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="module-trackpy.api">
+<span id="trackpy-api"></span><h1>trackpy.api<a class="headerlink" href="#module-trackpy.api" title="Permalink to this heading">¶</a></h1>
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.api.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.artificial.html b/trackpy/v0.6.2/generated/trackpy.artificial.html
new file mode 100644
index 00000000..bf3a88e8
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.artificial.html
@@ -0,0 +1,213 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.artificial &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+    <link rel="next" title="trackpy.diag" href="trackpy.diag.html" />
+    <link rel="prev" title="trackpy.api" href="trackpy.api.html" />
+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
+<meta name='viewport' content='width=device-width, initial-scale=1.0, maximum-scale=1'>
+<meta name="apple-mobile-web-app-capable" content="yes">
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+
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+
+  <div id="navbar" class="navbar navbar-default navbar-fixed-top">
+    <div class="container">
+      <div class="navbar-header">
+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
+            
+            
+              <li class="dropdown globaltoc-container">
+  <a role="button"
+     id="dLabelGlobalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="../index.html">Site <b class="caret"></b></a>
+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
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+<li><a class="reference internal" href="#">trackpy.artificial</a></li>
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+          
+            
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+      
+  <section id="module-trackpy.artificial">
+<span id="trackpy-artificial"></span><h1>trackpy.artificial<a class="headerlink" href="#module-trackpy.artificial" title="Permalink to this heading">¶</a></h1>
+<p class="rubric">Functions</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">draw_array</span></code>(N, size[, separation, ndim])</p></td>
+<td><p>Generates an image with an array of features.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">draw_cluster</span></code>(image, position, size, cluster_size)</p></td>
+<td><p>Draws a cluster of size <cite>n</cite> at <cite>pos</cite> with angle <cite>angle</cite>.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">draw_feature</span></code>(image, position, size[, ...])</p></td>
+<td><p>Draws a radial symmetric feature and adds it to the image at given position.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">draw_features_brightfield</span></code>(shape, positions, ...)</p></td>
+<td><p>Generates an image with features at given positions.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">draw_point</span></code>(image, pos, value)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">draw_spots</span></code>(shape, positions, size[, ...])</p></td>
+<td><p>Generates an image with features at given positions.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">feat_brightfield</span></code>(r, ndim, radius, ...)</p></td>
+<td><p>Brightfield particle with intensity dip in center at r = 0.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">feat_disc</span></code>(r, ndim, disc_size)</p></td>
+<td><p>Solid disc of size disc_size, with Gaussian smoothed borders.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">feat_gauss</span></code>(r, ndim)</p></td>
+<td><p>Gaussian at r = 0.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">feat_hat</span></code>(r, ndim, disc_size)</p></td>
+<td><p>Solid disc of size disc_size, with Gaussian smoothed borders.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">feat_ring</span></code>(r, ndim, thickness)</p></td>
+<td><p>Ring feature with a gaussian profile with a certain thickness.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">feat_step</span></code>(r, ndim)</p></td>
+<td><p>Solid disc.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">gen_connected_locations</span></code>(shape, count, separation)</p></td>
+<td><p>Generates <cite>count</cite> number of positions within <cite>shape</cite> that are touching.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">gen_nonoverlapping_locations</span></code>(shape, count, ...)</p></td>
+<td><p>Generates <cite>count</cite> number of positions within <cite>shape</cite>, that have minimum distance <cite>separation</cite> from each other.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">gen_random_locations</span></code>(shape, count[, margin])</p></td>
+<td><p>Generates <cite>count</cite> number of positions within <cite>shape</cite>.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">rot_2d</span></code>(angle)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">rot_3d</span></code>(angles)</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+<p class="rubric">Classes</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">SimulatedImage</span></code>(shape, size[, dtype, ...])</p></td>
+<td><p>This class makes it easy to generate artificial pictures.</p></td>
+</tr>
+</tbody>
+</table>
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
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+  <a href="../_sources/generated/trackpy.artificial.rst.txt"
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+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
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diff --git a/trackpy/v0.6.2/generated/trackpy.batch.html b/trackpy/v0.6.2/generated/trackpy.batch.html
new file mode 100644
index 00000000..53d5a7e6
--- /dev/null
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@@ -0,0 +1,214 @@
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+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
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+  <section id="trackpy-batch">
+<h1>trackpy.batch<a class="headerlink" href="#trackpy-batch" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.batch">
+<span class="sig-prename descclassname"><span class="pre">trackpy.</span></span><span class="sig-name descname"><span class="pre">batch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">frames</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">diameter</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">output</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">meta</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">processes</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'auto'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">after_locate</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.batch" title="Permalink to this definition">¶</a></dt>
+<dd><p>Locate Gaussian-like blobs of some approximate size in a set of images.</p>
+<p>Preprocess the image by performing a band pass and a threshold.
+Locate all peaks of brightness, characterize the neighborhoods of the peaks
+and take only those with given total brightness (“mass”). Finally,
+refine the positions of each peak.</p>
+<dl class="field-list">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><dl>
+<dt><strong>frames</strong><span class="classifier">list (or iterable) of images</span></dt><dd><p>The frames to process.</p>
+</dd>
+<dt><strong>diameter</strong><span class="classifier">odd integer or tuple of odd integers</span></dt><dd><p>This may be a single number or a tuple giving the feature’s
+extent in each dimension, useful when the dimensions do not have
+equal resolution (e.g. confocal microscopy). The tuple order is the
+same as the image shape, conventionally (z, y, x) or (y, x). The
+number(s) must be odd integers. When in doubt, round up.</p>
+</dd>
+<dt><strong>output</strong><span class="classifier">{None, trackpy.PandasHDFStore, SomeCustomClass}</span></dt><dd><p>If None, return all results as one big DataFrame. Otherwise, pass
+results from each frame, one at a time, to the put() method
+of whatever class is specified here.</p>
+</dd>
+<dt><strong>meta</strong><span class="classifier">filepath or file object</span></dt><dd><p>If specified, information relevant to reproducing this batch is saved
+as a YAML file, a plain-text machine- and human-readable format.
+By default, this is None, and no file is saved.</p>
+</dd>
+<dt><strong>processes</strong><span class="classifier">integer or “auto”</span></dt><dd><p>The number of processes to use in parallel. If &lt;= 1, multiprocessing is
+disabled. If “auto”, the number returned by <cite>os.cpu_count()`</cite> is used.</p>
+</dd>
+<dt><strong>after_locate</strong><span class="classifier">function</span></dt><dd><p>Specify a custom function to apply to the detected features in each
+processed frame. It must accept the following arguments:</p>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">frame_no</span></code>: an integer specifying the number of the current frame.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">features</span></code>: a DataFrame containing the detected features.</p></li>
+</ul>
+<p>Furthermore it must return a DataFrame like <code class="docutils literal notranslate"><span class="pre">features</span></code>.</p>
+</dd>
+<dt><strong>**kwargs</strong></dt><dd><p>Keyword arguments that are passed to the wrapped <cite>trackpy.locate</cite>.
+Refer to its docstring for further details.</p>
+</dd>
+</dl>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><dl class="simple">
+<dt>DataFrame([x, y, mass, size, ecc, signal])</dt><dd><p>where mass means total integrated brightness of the blob,
+size means the radius of gyration of its Gaussian-like profile,
+and ecc is its eccentricity (0 is circular).</p>
+</dd>
+</dl>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<dl class="simple">
+<dt><a class="reference internal" href="trackpy.locate.html#trackpy.locate" title="trackpy.locate"><code class="xref py py-obj docutils literal notranslate"><span class="pre">locate</span></code></a></dt><dd><p>performs location on a single image</p>
+</dd>
+</dl>
+</div>
+<p class="rubric">Notes</p>
+<p>This is a convenience function that wraps <cite>trackpy.locate</cite> (see its
+docstring for further details) and allows batch processing of multiple
+frames, optionally in parallel by using multiprocessing.</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
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+</div>
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+  <a href="../_sources/generated/trackpy.batch.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
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diff --git a/trackpy/v0.6.2/generated/trackpy.diag.dependencies.html b/trackpy/v0.6.2/generated/trackpy.diag.dependencies.html
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index 00000000..463f5256
--- /dev/null
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@@ -0,0 +1,164 @@
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+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.diag.dependencies</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
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+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-diag-dependencies">
+<h1>trackpy.diag.dependencies<a class="headerlink" href="#trackpy-diag-dependencies" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.diag.dependencies">
+<span class="sig-prename descclassname"><span class="pre">trackpy.diag.</span></span><span class="sig-name descname"><span class="pre">dependencies</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.diag.dependencies" title="Permalink to this definition">¶</a></dt>
+<dd><p>Give the version of each of the dependencies – useful for bug reports.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><dl class="simple">
+<dt><strong>result</strong><span class="classifier">dict</span></dt><dd><p>mapping the name of each package to its version string or, if an
+optional dependency is not installed, None</p>
+</dd>
+</dl>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.diag.dependencies.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.diag.html b/trackpy/v0.6.2/generated/trackpy.diag.html
new file mode 100644
index 00000000..932a3d71
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.diag.html
@@ -0,0 +1,160 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.diag &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
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+    <link rel="index" title="Index" href="../genindex.html" />
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+
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+
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+    <div class="container">
+      <div class="navbar-header">
+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
+            
+            
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+  <a role="button"
+     id="dLabelGlobalToc"
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+     href="../index.html">Site <b class="caret"></b></a>
+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul class="current">
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+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.diag</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="module-trackpy.diag">
+<span id="trackpy-diag"></span><h1>trackpy.diag<a class="headerlink" href="#module-trackpy.diag" title="Permalink to this heading">¶</a></h1>
+<p class="rubric">Functions</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="trackpy.diag.dependencies.html#trackpy.diag.dependencies" title="trackpy.diag.dependencies"><code class="xref py py-obj docutils literal notranslate"><span class="pre">dependencies</span></code></a>()</p></td>
+<td><p>Give the version of each of the dependencies -- useful for bug reports.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="trackpy.diag.performance_report.html#trackpy.diag.performance_report" title="trackpy.diag.performance_report"><code class="xref py py-obj docutils literal notranslate"><span class="pre">performance_report</span></code></a>()</p></td>
+<td><p>Display summary of which optional speedups are installed/enabled</p></td>
+</tr>
+</tbody>
+</table>
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.diag.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.diag.performance_report.html b/trackpy/v0.6.2/generated/trackpy.diag.performance_report.html
new file mode 100644
index 00000000..4a5680ba
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.diag.performance_report.html
@@ -0,0 +1,155 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.diag.performance_report &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+    <link rel="next" title="trackpy.diag.dependencies" href="trackpy.diag.dependencies.html" />
+    <link rel="prev" title="trackpy.utils.fit_powerlaw" href="trackpy.utils.fit_powerlaw.html" />
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+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
+            
+            
+              <li class="dropdown globaltoc-container">
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+     id="dLabelGlobalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="../index.html">Site <b class="caret"></b></a>
+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.diag.performance_report</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-diag-performance-report">
+<h1>trackpy.diag.performance_report<a class="headerlink" href="#trackpy-diag-performance-report" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.diag.performance_report">
+<span class="sig-prename descclassname"><span class="pre">trackpy.diag.</span></span><span class="sig-name descname"><span class="pre">performance_report</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.diag.performance_report" title="Permalink to this definition">¶</a></dt>
+<dd><p>Display summary of which optional speedups are installed/enabled</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.diag.performance_report.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.disable_numba.html b/trackpy/v0.6.2/generated/trackpy.disable_numba.html
new file mode 100644
index 00000000..bda87caf
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.disable_numba.html
@@ -0,0 +1,155 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.disable_numba &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
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+    <script src="../_static/jquery.js"></script>
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+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+    <link rel="next" title="trackpy.SubnetOversizeException" href="trackpy.SubnetOversizeException.html" />
+    <link rel="prev" title="trackpy.enable_numba" href="trackpy.enable_numba.html" />
+<meta charset='utf-8'>
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+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
+            
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+              <li class="dropdown globaltoc-container">
+  <a role="button"
+     id="dLabelGlobalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="../index.html">Site <b class="caret"></b></a>
+  <ul class="dropdown-menu globaltoc"
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+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
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+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.disable_numba</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
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+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-disable-numba">
+<h1>trackpy.disable_numba<a class="headerlink" href="#trackpy-disable-numba" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.disable_numba">
+<span class="sig-prename descclassname"><span class="pre">trackpy.</span></span><span class="sig-name descname"><span class="pre">disable_numba</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.disable_numba" title="Permalink to this definition">¶</a></dt>
+<dd><p>Do not use numba-accelerated functions, even if numba is available.</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.disable_numba.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
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+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.enable_numba.html b/trackpy/v0.6.2/generated/trackpy.enable_numba.html
new file mode 100644
index 00000000..301bb0f4
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.enable_numba.html
@@ -0,0 +1,155 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.enable_numba &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
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+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
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+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
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+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API reference</a></li>
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+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
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+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.enable_numba</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
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+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
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+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-enable-numba">
+<h1>trackpy.enable_numba<a class="headerlink" href="#trackpy-enable-numba" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.enable_numba">
+<span class="sig-prename descclassname"><span class="pre">trackpy.</span></span><span class="sig-name descname"><span class="pre">enable_numba</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.enable_numba" title="Permalink to this definition">¶</a></dt>
+<dd><p>Use numba-accelerated variants of core functions.</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.enable_numba.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.feature.html b/trackpy/v0.6.2/generated/trackpy.feature.html
new file mode 100644
index 00000000..96f3d79a
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.feature.html
@@ -0,0 +1,181 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.feature &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
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+    <link rel="index" title="Index" href="../genindex.html" />
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+    <link rel="next" title="trackpy.filtering" href="trackpy.filtering.html" />
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+<meta charset='utf-8'>
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+<script type="text/javascript" src="../_static/bootstrap-sphinx.js"></script>
+
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+  <div id="navbar" class="navbar navbar-default navbar-fixed-top">
+    <div class="container">
+      <div class="navbar-header">
+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
+            
+            
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+  <a role="button"
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+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.feature</a></li>
+</ul>
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+</li>
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+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
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+  <input type="hidden" name="area" value="default" />
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+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="module-trackpy.feature">
+<span id="trackpy-feature"></span><h1>trackpy.feature<a class="headerlink" href="#module-trackpy.feature" title="Permalink to this heading">¶</a></h1>
+<p class="rubric">Functions</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">batch</span></code>(frames, diameter[, output, meta, ...])</p></td>
+<td><p>Locate Gaussian-like blobs of some approximate size in a set of images.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">characterize</span></code>(coords, image, radius[, ...])</p></td>
+<td><p>Characterize a 2d ndarray of coordinates.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">estimate_mass</span></code>(image, radius, coord)</p></td>
+<td><p>Compute the total brightness in the neighborhood of a local maximum.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">estimate_size</span></code>(image, radius, coord, ...)</p></td>
+<td><p>Compute the total brightness in the neighborhood of a local maximum.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">local_maxima</span></code>(image, radius[, percentile, margin])</p></td>
+<td><p>Find local maxima whose brightness is above a given percentile.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">locate</span></code>(raw_image, diameter[, minmass, ...])</p></td>
+<td><p>Locate Gaussian-like blobs of some approximate size in an image.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">minmass_v03_change</span></code>(raw_image, old_minmass[, ...])</p></td>
+<td><p>Convert minmass value from v0.2.4 to v0.3.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">minmass_v04_change</span></code>(raw_image, old_minmass, ...)</p></td>
+<td><p>Convert minmass value from v0.3 to v0.4.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">refine</span></code>(*args, **kwargs)</p></td>
+<td><p>Deprecated.</p></td>
+</tr>
+</tbody>
+</table>
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.feature.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.filtering.filter_clusters.html b/trackpy/v0.6.2/generated/trackpy.filtering.filter_clusters.html
new file mode 100644
index 00000000..cd02ccc9
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.filtering.filter_clusters.html
@@ -0,0 +1,172 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.filtering.filter_clusters &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
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+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+    <link rel="next" title="trackpy.predict.NullPredict" href="trackpy.predict.NullPredict.html" />
+    <link rel="prev" title="trackpy.filtering.filter_stubs" href="trackpy.filtering.filter_stubs.html" />
+<meta charset='utf-8'>
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+  <section id="trackpy-filtering-filter-clusters">
+<h1>trackpy.filtering.filter_clusters<a class="headerlink" href="#trackpy-filtering-filter-clusters" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.filtering.filter_clusters">
+<span class="sig-prename descclassname"><span class="pre">trackpy.filtering.</span></span><span class="sig-name descname"><span class="pre">filter_clusters</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">tracks</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">quantile</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.8</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.filtering.filter_clusters" title="Permalink to this definition">¶</a></dt>
+<dd><p>Filter out trajectories with a mean particle size above a given quantile.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><dl class="simple">
+<dt><strong>tracks</strong><span class="classifier">DataFrame</span></dt><dd><p>must include columns named ‘particle’ and ‘size’</p>
+</dd>
+<dt><strong>quantile</strong><span class="classifier">number between 0 and 1</span></dt><dd><p>quantile of particle ‘size’ above which to cut off</p>
+</dd>
+<dt><strong>threshold</strong><span class="classifier">number</span></dt><dd><p>If specified, ignore quantile.</p>
+</dd>
+</dl>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><dl class="simple">
+<dt>a subset of tracks</dt><dd></dd>
+</dl>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+
+
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+      
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+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
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\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.filtering.filter_stubs.html b/trackpy/v0.6.2/generated/trackpy.filtering.filter_stubs.html
new file mode 100644
index 00000000..2f6dc2b8
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.filtering.filter_stubs.html
@@ -0,0 +1,170 @@
+<!DOCTYPE html>
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+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
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+      
+  <section id="trackpy-filtering-filter-stubs">
+<h1>trackpy.filtering.filter_stubs<a class="headerlink" href="#trackpy-filtering-filter-stubs" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.filtering.filter_stubs">
+<span class="sig-prename descclassname"><span class="pre">trackpy.filtering.</span></span><span class="sig-name descname"><span class="pre">filter_stubs</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">tracks</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.filtering.filter_stubs" title="Permalink to this definition">¶</a></dt>
+<dd><p>Filter out trajectories with few points. They are often spurious.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><dl class="simple">
+<dt><strong>tracks</strong><span class="classifier">DataFrame</span></dt><dd><p>must include columns named ‘frame’ and ‘particle’</p>
+</dd>
+<dt><strong>threshold</strong><span class="classifier">integer, default 100</span></dt><dd><p>minimum number of points (video frames) to survive</p>
+</dd>
+</dl>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><dl class="simple">
+<dt>a subset of tracks</dt><dd></dd>
+</dl>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
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+    <p class="pull-right">
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+  <a href="../_sources/generated/trackpy.filtering.filter_stubs.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
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\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.filtering.html b/trackpy/v0.6.2/generated/trackpy.filtering.html
new file mode 100644
index 00000000..2cc46a78
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.filtering.html
@@ -0,0 +1,171 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.filtering &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
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+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
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+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
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+  <section id="module-trackpy.filtering">
+<span id="trackpy-filtering"></span><h1>trackpy.filtering<a class="headerlink" href="#module-trackpy.filtering" title="Permalink to this heading">¶</a></h1>
+<p>Simple functions that eliminate spurrious trajectories
+by wrapping pandas group-by and filter capabilities.</p>
+<p class="rubric">Functions</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">bust_clusters</span></code>(tracks[, quantile, threshold])</p></td>
+<td><p>Filter out trajectories with a mean particle size above a given quantile.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">bust_ghosts</span></code>(tracks[, threshold])</p></td>
+<td><p>Filter out trajectories with few points.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">filter</span></code>(tracks, condition_func)</p></td>
+<td><p>A workaround for a bug in pandas 0.12</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="trackpy.filtering.filter_clusters.html#trackpy.filtering.filter_clusters" title="trackpy.filtering.filter_clusters"><code class="xref py py-obj docutils literal notranslate"><span class="pre">filter_clusters</span></code></a>(tracks[, quantile, threshold])</p></td>
+<td><p>Filter out trajectories with a mean particle size above a given quantile.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="trackpy.filtering.filter_stubs.html#trackpy.filtering.filter_stubs" title="trackpy.filtering.filter_stubs"><code class="xref py py-obj docutils literal notranslate"><span class="pre">filter_stubs</span></code></a>(tracks[, threshold])</p></td>
+<td><p>Filter out trajectories with few points.</p></td>
+</tr>
+</tbody>
+</table>
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
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+  <a href="../_sources/generated/trackpy.filtering.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
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\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.find.html b/trackpy/v0.6.2/generated/trackpy.find.html
new file mode 100644
index 00000000..494f9927
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.find.html
@@ -0,0 +1,169 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.find &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
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+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
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+  <a role="button"
+     id="dLabelLocalToc"
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+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.find</a></li>
+</ul>
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+            
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+
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+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="module-trackpy.find">
+<span id="trackpy-find"></span><h1>trackpy.find<a class="headerlink" href="#module-trackpy.find" title="Permalink to this heading">¶</a></h1>
+<p class="rubric">Functions</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">drop_close</span></code>(pos, separation[, intensity])</p></td>
+<td><p>Removes features that are closer than separation from other features.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">grey_dilation</span></code>(image, separation[, ...])</p></td>
+<td><p>Find local maxima whose brightness is above a given percentile.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">grey_dilation_legacy</span></code>(image, separation[, ...])</p></td>
+<td><p>Find local maxima whose brightness is above a given percentile.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="trackpy.find.percentile_threshold.html#trackpy.find.percentile_threshold" title="trackpy.find.percentile_threshold"><code class="xref py py-obj docutils literal notranslate"><span class="pre">percentile_threshold</span></code></a>(image, percentile)</p></td>
+<td><p>Find grayscale threshold based on distribution in image.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">where_close</span></code>(pos, separation[, intensity])</p></td>
+<td><p>Returns indices of features that are closer than separation from other features.</p></td>
+</tr>
+</tbody>
+</table>
+</section>
+
+
+    </div>
+      
+  </div>
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+    <p class="pull-right">
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+  <a href="../_sources/generated/trackpy.find.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
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+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.find.percentile_threshold.html b/trackpy/v0.6.2/generated/trackpy.find.percentile_threshold.html
new file mode 100644
index 00000000..9af48b4a
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.find.percentile_threshold.html
@@ -0,0 +1,155 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.find.percentile_threshold &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
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+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
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+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
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+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API reference</a></li>
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+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
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+     id="dLabelLocalToc"
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+  <ul class="dropdown-menu localtoc"
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+<li><a class="reference internal" href="#">trackpy.find.percentile_threshold</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
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+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
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+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-find-percentile-threshold">
+<h1>trackpy.find.percentile_threshold<a class="headerlink" href="#trackpy-find-percentile-threshold" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.find.percentile_threshold">
+<span class="sig-prename descclassname"><span class="pre">trackpy.find.</span></span><span class="sig-name descname"><span class="pre">percentile_threshold</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">image</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">percentile</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.find.percentile_threshold" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find grayscale threshold based on distribution in image.</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.find.percentile_threshold.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
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+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.find_link.html b/trackpy/v0.6.2/generated/trackpy.find_link.html
new file mode 100644
index 00000000..bf26273c
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.find_link.html
@@ -0,0 +1,238 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.find_link &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
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+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
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+     href="../index.html">Site <b class="caret"></b></a>
+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
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+     id="dLabelLocalToc"
+     data-toggle="dropdown"
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+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.find_link</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
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+      
+  <section id="trackpy-find-link">
+<h1>trackpy.find_link<a class="headerlink" href="#trackpy-find-link" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.find_link">
+<span class="sig-prename descclassname"><span class="pre">trackpy.</span></span><span class="sig-name descname"><span class="pre">find_link</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">reader</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">search_range</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">separation</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">diameter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">memory</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">minmass</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">noise_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smoothing_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">percentile</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">64</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">preprocess</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">before_link</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">after_link</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">refine</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.find_link" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find and link features, using image data to re-find lost features.</p>
+<dl class="field-list">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><dl>
+<dt><strong>reader</strong><span class="classifier">pims.FramesSequence</span></dt><dd></dd>
+<dt><strong>search_range</strong><span class="classifier">number or tuple</span></dt><dd><p>maximum displacement of features between subsequent frames</p>
+</dd>
+<dt><strong>separation</strong><span class="classifier">number or tuple</span></dt><dd><p>minimum separation distance between features</p>
+</dd>
+<dt><strong>diameter</strong><span class="classifier">number or tuple, optional</span></dt><dd><p>feature diameter, used for characterization only.
+Also determines the margin (margin = diameter // 2).
+Default: <code class="docutils literal notranslate"><span class="pre">separation</span></code>.</p>
+</dd>
+<dt><strong>memory</strong><span class="classifier">number, optional</span></dt><dd><p>number of frames that features are allowed to disappear. Experimental.
+Default 0.</p>
+</dd>
+<dt><strong>minmass</strong><span class="classifier">number, optional</span></dt><dd><p>minimum integrated intensity (in masked image). Default 0.</p>
+</dd>
+<dt><strong>noise_size</strong><span class="classifier">number or tuple, optional</span></dt><dd><p>Size of Gaussian kernel with which the image is convoluted for noise
+reduction. Default 1.</p>
+</dd>
+<dt><strong>smoothing_size</strong><span class="classifier">number or tuple, optional</span></dt><dd><p>Size of rolling average box for background subtraction.
+By default, equals <code class="docutils literal notranslate"><span class="pre">separation</span></code>. This may introduce bias when refined on
+the background subtracted image!</p>
+</dd>
+<dt><strong>threshold</strong><span class="classifier">number, optional</span></dt><dd><p>Threshold value for image. Default None.</p>
+</dd>
+<dt><strong>percentile</strong><span class="classifier">number, optional</span></dt><dd><p>The upper percentile of intensities in the image are considered as
+feature locations. Default 64.</p>
+</dd>
+<dt><strong>preprocess</strong><span class="classifier">boolean</span></dt><dd><p>Set to False to turn off bandpass preprocessing.</p>
+</dd>
+<dt><strong>before_link</strong><span class="classifier">function, optional</span></dt><dd><p>This function is executed after the initial find of each frame, but
+but before the linking and relocating.
+It should take the following arguments (or <code class="docutils literal notranslate"><span class="pre">**kwargs</span></code>):</p>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">coords</span></code>: <a href="#id1"><span class="problematic" id="id2">`</span></a>ndarray``containing the initially found feature coordinates</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">reader</span></code>: unprocessed reader (for access to other frames)</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">image</span></code>: unprocessed image</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">image_proc</span></code>: the processed image</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">diameter</span></code></p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">separation</span></code></p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">search_range</span></code></p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">margin</span></code></p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">minmass</span></code></p></li>
+</ul>
+<p>It should return an ndarray of the same shape as <code class="docutils literal notranslate"><span class="pre">coords</span></code>.</p>
+</dd>
+<dt><strong>after_link</strong><span class="classifier">function, optional</span></dt><dd><p>This function is executed after the find and link of each frame. It
+should not change the number of features.
+It should take the following arguments (or <code class="docutils literal notranslate"><span class="pre">**kwargs</span></code>):</p>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">features</span></code>: a DataFrame containing the feature coordinates and characterization.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">reader</span></code>: unprocessed reader (for access to other frames)</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">image</span></code>: unprocessed image</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">image_proc</span></code>: the processed image</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">diameter</span></code></p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">separation</span></code></p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">search_range</span></code></p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">margin</span></code></p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">minmass</span></code></p></li>
+</ul>
+<p>It should return a DataFrame like <code class="docutils literal notranslate"><span class="pre">features</span></code>.</p>
+</dd>
+<dt><strong>refine</strong><span class="classifier">boolean, optional</span></dt><dd><p>Convenience parameter to do center-of-mass refinement. Cannot be used
+combined with an <code class="docutils literal notranslate"><span class="pre">after_link</span></code> function. Default False.</p>
+</dd>
+</dl>
+</dd>
+</dl>
+<p class="rubric">Notes</p>
+<p>This feature is a recent addition to trackpy that is still in its
+experimental phase. Please report any issues you encounter on Github.</p>
+<p>If you use this specific algorithm for your scientific publications, please
+mention the accompanying publication <a class="reference internal" href="#r7db8461436ba-1" id="id3">[1]</a></p>
+<p class="rubric">References</p>
+<div role="list" class="citation-list">
+<div class="citation" id="r7db8461436ba-1" role="doc-biblioentry">
+<span class="label"><span class="fn-bracket">[</span><a role="doc-backlink" href="#id3">1</a><span class="fn-bracket">]</span></span>
+<p>van der Wel C., Kraft D.J. Automated tracking of colloidal clusters</p>
+</div>
+</div>
+<p>with sub-pixel accuracy and precision. J. Phys. Condens. Mat. 29:44001 (2017)
+DOI: <a class="reference external" href="http://dx.doi.org/10.1088/1361-648X/29/4/044001">http://dx.doi.org/10.1088/1361-648X/29/4/044001</a></p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
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+    <p class="pull-right">
+      <a href="#">Back to top</a>
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+  <a href="../_sources/generated/trackpy.find_link.rst.txt"
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+</div>
+      
+    </p>
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+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
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diff --git a/trackpy/v0.6.2/generated/trackpy.framewise_data.html b/trackpy/v0.6.2/generated/trackpy.framewise_data.html
new file mode 100644
index 00000000..1fae301d
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.framewise_data.html
@@ -0,0 +1,177 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.framewise_data &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
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+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
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+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
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+<li><a class="reference internal" href="#">trackpy.framewise_data</a></li>
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+      
+  <section id="module-trackpy.framewise_data">
+<span id="trackpy-framewise-data"></span><h1>trackpy.framewise_data<a class="headerlink" href="#module-trackpy.framewise_data" title="Permalink to this heading">¶</a></h1>
+<p class="rubric">Functions</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">code_key</span></code>(frame_no)</p></td>
+<td><p>Turn the frame_no into a 'natural name' string idiomatic of HDFStore</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">decode_key</span></code>(key)</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+<p class="rubric">Classes</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="trackpy.FramewiseData.html#trackpy.FramewiseData" title="trackpy.framewise_data.FramewiseData"><code class="xref py py-obj docutils literal notranslate"><span class="pre">FramewiseData</span></code></a>()</p></td>
+<td><p>Abstract base class defining a data container with framewise access.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="trackpy.PandasHDFStore.html#trackpy.PandasHDFStore" title="trackpy.framewise_data.PandasHDFStore"><code class="xref py py-obj docutils literal notranslate"><span class="pre">PandasHDFStore</span></code></a>(filename[, mode, t_column])</p></td>
+<td><p>An interface to an HDF5 file with framewise access, using pandas.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="trackpy.PandasHDFStoreBig.html#trackpy.PandasHDFStoreBig" title="trackpy.framewise_data.PandasHDFStoreBig"><code class="xref py py-obj docutils literal notranslate"><span class="pre">PandasHDFStoreBig</span></code></a>(filename[, mode, t_column])</p></td>
+<td><p>Like PandasHDFStore, but keeps a cache of frame numbers.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="trackpy.PandasHDFStoreSingleNode.html#trackpy.PandasHDFStoreSingleNode" title="trackpy.framewise_data.PandasHDFStoreSingleNode"><code class="xref py py-obj docutils literal notranslate"><span class="pre">PandasHDFStoreSingleNode</span></code></a>(filename[, key, ...])</p></td>
+<td><p>An interface to an HDF5 file with framewise access, using pandas, that is faster for cross-frame queries.</p></td>
+</tr>
+</tbody>
+</table>
+</section>
+
+
+    </div>
+      
+  </div>
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+    <p class="pull-right">
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+  <a href="../_sources/generated/trackpy.framewise_data.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
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new file mode 100644
index 00000000..fe9ec60e
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+++ b/trackpy/v0.6.2/generated/trackpy.grey_dilation.html
@@ -0,0 +1,185 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
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+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
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+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
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+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.grey_dilation</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
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+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-grey-dilation">
+<h1>trackpy.grey_dilation<a class="headerlink" href="#trackpy-grey-dilation" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.grey_dilation">
+<span class="sig-prename descclassname"><span class="pre">trackpy.</span></span><span class="sig-name descname"><span class="pre">grey_dilation</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">image</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">separation</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">percentile</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">64</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">margin</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">precise</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.grey_dilation" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find local maxima whose brightness is above a given percentile.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><dl class="simple">
+<dt><strong>image</strong><span class="classifier">ndarray</span></dt><dd><p>For best performance, provide an integer-type array. If the type is not
+of integer-type, the image will be normalized and coerced to uint8.</p>
+</dd>
+<dt><strong>separation</strong><span class="classifier">number or tuple of numbers</span></dt><dd><p>Minimum separation between maxima. See precise for more information.</p>
+</dd>
+<dt><strong>percentile</strong><span class="classifier">float in range of [0,100], optional</span></dt><dd><p>Features must have a peak brighter than pixels in this percentile.
+This helps eliminate spurious peaks. Default 64.</p>
+</dd>
+<dt><strong>margin</strong><span class="classifier">integer or tuple of integers, optional</span></dt><dd><p>Zone of exclusion at edges of image. Default is <code class="docutils literal notranslate"><span class="pre">separation</span> <span class="pre">/</span> <span class="pre">2</span></code>.</p>
+</dd>
+<dt><strong>precise</strong><span class="classifier">boolean, optional</span></dt><dd><p>Determines whether there will be an extra filtering step (<code class="docutils literal notranslate"><span class="pre">drop_close</span></code>)
+discarding features that are too close. Degrades performance.
+Because of the square kernel used, too many features are returned when
+precise=False. Default True.</p>
+</dd>
+</dl>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<dl class="simple">
+<dt><code class="xref py py-obj docutils literal notranslate"><span class="pre">drop_close</span></code></dt><dd><p>removes features that are too close to brighter features</p>
+</dd>
+<dt><code class="xref py py-obj docutils literal notranslate"><span class="pre">grey_dilation_legacy</span></code></dt><dd><p>local maxima finding routine used until trackpy v0.3</p>
+</dd>
+</dl>
+</div>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.grey_dilation.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.handle_logging.html b/trackpy/v0.6.2/generated/trackpy.handle_logging.html
new file mode 100644
index 00000000..426c83e1
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.handle_logging.html
@@ -0,0 +1,155 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.handle_logging &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
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+    <link rel="next" title="trackpy.ignore_logging" href="trackpy.ignore_logging.html" />
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+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
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+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
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+     id="dLabelLocalToc"
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+      role="menu"
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+<li><a class="reference internal" href="#">trackpy.handle_logging</a></li>
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+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-handle-logging">
+<h1>trackpy.handle_logging<a class="headerlink" href="#trackpy-handle-logging" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.handle_logging">
+<span class="sig-prename descclassname"><span class="pre">trackpy.</span></span><span class="sig-name descname"><span class="pre">handle_logging</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.handle_logging" title="Permalink to this definition">¶</a></dt>
+<dd><p>Send INFO-level log messages to stdout. Do not propagate.</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.handle_logging.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.html b/trackpy/v0.6.2/generated/trackpy.html
new file mode 100644
index 00000000..89e95c9e
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.html
@@ -0,0 +1,217 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
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+    <link rel="next" title="trackpy.api" href="trackpy.api.html" />
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+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
+            
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+              <li class="dropdown globaltoc-container">
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+     id="dLabelGlobalToc"
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+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
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+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy</a></li>
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+            
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+<form class="navbar-form navbar-right" action="../search.html" method="get">
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+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="module-trackpy">
+<span id="trackpy"></span><h1>trackpy<a class="headerlink" href="#module-trackpy" title="Permalink to this heading">¶</a></h1>
+<p class="rubric">Modules</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="trackpy.api.html#module-trackpy.api" title="trackpy.api"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.api</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="trackpy.artificial.html#module-trackpy.artificial" title="trackpy.artificial"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.artificial</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="trackpy.diag.html#module-trackpy.diag" title="trackpy.diag"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.diag</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="trackpy.feature.html#module-trackpy.feature" title="trackpy.feature"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.feature</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="trackpy.filtering.html#module-trackpy.filtering" title="trackpy.filtering"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.filtering</span></code></a></p></td>
+<td><p>Simple functions that eliminate spurrious trajectories by wrapping pandas group-by and filter capabilities.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="trackpy.find.html#module-trackpy.find" title="trackpy.find"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.find</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="trackpy.find_link.html#trackpy.find_link" title="trackpy.find_link"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.find_link</span></code></a>(reader, search_range, ...)</p></td>
+<td><p>Find and link features, using image data to re-find lost features.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="trackpy.framewise_data.html#module-trackpy.framewise_data" title="trackpy.framewise_data"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.framewise_data</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="trackpy.linking.html#module-trackpy.linking" title="trackpy.linking"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.linking</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="trackpy.locate_functions.html#module-trackpy.locate_functions" title="trackpy.locate_functions"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.locate_functions</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="trackpy.masks.html#module-trackpy.masks" title="trackpy.masks"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.masks</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="trackpy.motion.html#module-trackpy.motion" title="trackpy.motion"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.motion</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="trackpy.plots.html#module-trackpy.plots" title="trackpy.plots"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.plots</span></code></a></p></td>
+<td><p>These functions generate handy plots.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="trackpy.predict.html#module-trackpy.predict" title="trackpy.predict"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.predict</span></code></a></p></td>
+<td><p>Tools to improve tracking performance by guessing where a particle will appear next.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="trackpy.preprocessing.html#module-trackpy.preprocessing" title="trackpy.preprocessing"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.preprocessing</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="trackpy.refine.html#module-trackpy.refine" title="trackpy.refine"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.refine</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="trackpy.static.html#module-trackpy.static" title="trackpy.static"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.static</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="trackpy.tracking.html#module-trackpy.tracking" title="trackpy.tracking"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.tracking</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="trackpy.try_numba.html#module-trackpy.try_numba" title="trackpy.try_numba"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.try_numba</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="trackpy.uncertainty.html#module-trackpy.uncertainty" title="trackpy.uncertainty"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.uncertainty</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="trackpy.utils.html#module-trackpy.utils" title="trackpy.utils"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.utils</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
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+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.ignore_logging.html b/trackpy/v0.6.2/generated/trackpy.ignore_logging.html
new file mode 100644
index 00000000..49936b2b
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.ignore_logging.html
@@ -0,0 +1,155 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.ignore_logging &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
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+    <link rel="next" title="trackpy.minmass_v03_change" href="trackpy.minmass_v03_change.html" />
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+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
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+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
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+     id="dLabelLocalToc"
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+      role="menu"
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+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-ignore-logging">
+<h1>trackpy.ignore_logging<a class="headerlink" href="#trackpy-ignore-logging" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.ignore_logging">
+<span class="sig-prename descclassname"><span class="pre">trackpy.</span></span><span class="sig-name descname"><span class="pre">ignore_logging</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.ignore_logging" title="Permalink to this definition">¶</a></dt>
+<dd><p>Reset to factory default logging configuration; remove trackpy’s handler.</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.ignore_logging.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.link.html b/trackpy/v0.6.2/generated/trackpy.link.html
new file mode 100644
index 00000000..bf8272f5
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.link.html
@@ -0,0 +1,224 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.link &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
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+    <link rel="next" title="trackpy.grey_dilation" href="trackpy.grey_dilation.html" />
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+<meta charset='utf-8'>
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+  <div id="navbar" class="navbar navbar-default navbar-fixed-top">
+    <div class="container">
+      <div class="navbar-header">
+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
+            
+            
+              <li class="dropdown globaltoc-container">
+  <a role="button"
+     id="dLabelGlobalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="../index.html">Site <b class="caret"></b></a>
+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.link</a></li>
+</ul>
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+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
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+          
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+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-link">
+<h1>trackpy.link<a class="headerlink" href="#trackpy-link" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.link">
+<span class="sig-prename descclassname"><span class="pre">trackpy.</span></span><span class="sig-name descname"><span class="pre">link</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">f</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">search_range</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pos_columns</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_column</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'frame'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">memory</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">predictor</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adaptive_stop</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adaptive_step</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.95</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">neighbor_strategy</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">link_strategy</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dist_func</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">to_eucl</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.link" title="Permalink to this definition">¶</a></dt>
+<dd><p>Link a DataFrame of coordinates into trajectories.</p>
+<dl class="field-list">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><dl>
+<dt><strong>f</strong><span class="classifier">DataFrame</span></dt><dd><p>The DataFrame must include any number of column(s) for position and a
+column of frame numbers. By default, ‘x’ and ‘y’ are expected for
+position, and ‘frame’ is expected for frame number. See below for
+options to use custom column names.</p>
+</dd>
+<dt><strong>search_range</strong><span class="classifier">float or tuple</span></dt><dd><p>the maximum distance features can move between frames,
+optionally per dimension</p>
+</dd>
+<dt><strong>pos_columns</strong><span class="classifier">list of str, optional</span></dt><dd><p>Default is [‘y’, ‘x’], or [‘z’, ‘y’, ‘x’] when ‘z’ is present in f</p>
+</dd>
+<dt><strong>t_column</strong><span class="classifier">str, optional</span></dt><dd><p>Default is ‘frame’</p>
+</dd>
+<dt><strong>memory</strong><span class="classifier">integer, optional</span></dt><dd><p>the maximum number of frames during which a feature can vanish,
+then reappear nearby, and be considered the same particle. 0 by default.</p>
+</dd>
+<dt><strong>predictor</strong><span class="classifier">function, optional</span></dt><dd><p>Improve performance by guessing where a particle will be in
+the next frame.
+For examples of how this works, see the “predict” module.</p>
+</dd>
+<dt><strong>adaptive_stop</strong><span class="classifier">float, optional</span></dt><dd><p>If not None, when encountering an oversize subnet, retry by progressively
+reducing search_range until the subnet is solvable. If search_range
+becomes &lt;= adaptive_stop, give up and raise a SubnetOversizeException.</p>
+</dd>
+<dt><strong>adaptive_step</strong><span class="classifier">float, optional</span></dt><dd><p>Reduce search_range by multiplying it by this factor.</p>
+</dd>
+<dt><strong>neighbor_strategy</strong><span class="classifier">{‘KDTree’, ‘BTree’}</span></dt><dd><p>algorithm used to identify nearby features. Default ‘KDTree’.</p>
+</dd>
+<dt><strong>link_strategy</strong><span class="classifier">{‘recursive’, ‘nonrecursive’, ‘numba’, ‘hybrid’, ‘drop’, ‘auto’}</span></dt><dd><p>algorithm used to resolve subnetworks of nearby particles
+‘auto’ uses hybrid (numba+recursive) if available
+‘drop’ causes particles in subnetworks to go unlinked</p>
+</dd>
+<dt><strong>dist_func</strong><span class="classifier">function or <code class="docutils literal notranslate"><span class="pre">`sklearn.metrics.DistanceMetric`</span></code> instance, optional</span></dt><dd><p>A custom python distance function or instance of the 
+Scikit Learn DistanceMetric class. If a python distance function is 
+passed, it must take two 1D arrays of coordinates and return a float. 
+Must be used with the ‘BTree’ neighbor_strategy.</p>
+</dd>
+<dt><strong>to_eucl</strong><span class="classifier">function, optional</span></dt><dd><p>function that transforms a N x ndim array of positions into coordinates
+in Euclidean space. Useful for instance to link by Euclidean distance
+starting from radial coordinates. If search_range is anisotropic, this
+parameter cannot be used.</p>
+</dd>
+</dl>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><dl class="simple">
+<dt>DataFrame with added column ‘particle’ containing trajectory labels.</dt><dd></dd>
+<dt>The t_column (by default: ‘frame’) will be coerced to integer.</dt><dd></dd>
+</dl>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<dl class="simple">
+<dt><a class="reference internal" href="trackpy.link_iter.html#trackpy.link_iter" title="trackpy.link_iter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">link_iter</span></code></a></dt><dd></dd>
+</dl>
+</div>
+<p class="rubric">Notes</p>
+<p>This is an implementation of the Crocker-Grier linking algorithm.
+<a class="reference internal" href="#rd0f24b6370cf-1" id="id1">[1]</a></p>
+<p class="rubric">References</p>
+<div role="list" class="citation-list">
+<div class="citation" id="rd0f24b6370cf-1" role="doc-biblioentry">
+<span class="label"><span class="fn-bracket">[</span><a role="doc-backlink" href="#id1">1</a><span class="fn-bracket">]</span></span>
+<p>Crocker, J.C., Grier, D.G. <a class="reference external" href="http://dx.doi.org/10.1006/jcis.1996.0217">http://dx.doi.org/10.1006/jcis.1996.0217</a></p>
+</div>
+</div>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.link.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.link_df_iter.html b/trackpy/v0.6.2/generated/trackpy.link_df_iter.html
new file mode 100644
index 00000000..ecac54c4
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.link_df_iter.html
@@ -0,0 +1,216 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.link_df_iter &#8212; trackpy 0.6.2 documentation</title>
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+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
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+      
+  <section id="trackpy-link-df-iter">
+<h1>trackpy.link_df_iter<a class="headerlink" href="#trackpy-link-df-iter" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.link_df_iter">
+<span class="sig-prename descclassname"><span class="pre">trackpy.</span></span><span class="sig-name descname"><span class="pre">link_df_iter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">f_iter</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">search_range</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pos_columns</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_column</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'frame'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">memory</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">predictor</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adaptive_stop</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adaptive_step</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.95</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">neighbor_strategy</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">link_strategy</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dist_func</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">to_eucl</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.link_df_iter" title="Permalink to this definition">¶</a></dt>
+<dd><p>Link an iterable of DataFrames into trajectories.</p>
+<dl class="field-list">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><dl>
+<dt><strong>f_iter</strong><span class="classifier">iterable of DataFrames</span></dt><dd><p>Each DataFrame must include any number of column(s) for position and a
+column of frame numbers. By default, ‘x’ and ‘y’ are expected for
+position, and ‘frame’ is expected for frame number. For optimal
+performance, explicitly specify the column names using <cite>pos_columns</cite>
+and <cite>t_column</cite> kwargs.</p>
+</dd>
+<dt><strong>search_range</strong><span class="classifier">float or tuple</span></dt><dd><p>the maximum distance features can move between frames,
+optionally per dimension</p>
+</dd>
+<dt><strong>pos_columns</strong><span class="classifier">list of str, optional</span></dt><dd><p>Default is [‘y’, ‘x’], or [‘z’, ‘y’, ‘x’] when ‘z’ is present in f
+If this is not supplied, f_iter will be investigated, which might cost
+performance. For optimal performance, always supply this parameter.</p>
+</dd>
+<dt><strong>t_column</strong><span class="classifier">str, optional</span></dt><dd><p>Default is ‘frame’</p>
+</dd>
+<dt><strong>memory</strong><span class="classifier">integer, optional</span></dt><dd><p>the maximum number of frames during which a feature can vanish,
+then reappear nearby, and be considered the same particle. 0 by default.</p>
+</dd>
+<dt><strong>predictor</strong><span class="classifier">function, optional</span></dt><dd><p>Improve performance by guessing where a particle will be in
+the next frame.
+For examples of how this works, see the “predict” module.</p>
+</dd>
+<dt><strong>adaptive_stop</strong><span class="classifier">float, optional</span></dt><dd><p>If not None, when encountering an oversize subnet, retry by progressively
+reducing search_range until the subnet is solvable. If search_range
+becomes &lt;= adaptive_stop, give up and raise a SubnetOversizeException.</p>
+</dd>
+<dt><strong>adaptive_step</strong><span class="classifier">float, optional</span></dt><dd><p>Reduce search_range by multiplying it by this factor.</p>
+</dd>
+<dt><strong>neighbor_strategy</strong><span class="classifier">{‘KDTree’, ‘BTree’}</span></dt><dd><p>algorithm used to identify nearby features. Default ‘KDTree’.</p>
+</dd>
+<dt><strong>link_strategy</strong><span class="classifier">{‘recursive’, ‘nonrecursive’, ‘numba’, ‘hybrid’, ‘drop’, ‘auto’}</span></dt><dd><p>algorithm used to resolve subnetworks of nearby particles
+‘auto’ uses hybrid (numba+recursive) if available
+‘drop’ causes particles in subnetworks to go unlinked</p>
+</dd>
+<dt><strong>dist_func</strong><span class="classifier">function or <code class="docutils literal notranslate"><span class="pre">`sklearn.metrics.DistanceMetric`</span></code> instance, optional</span></dt><dd><p>A custom python distance function or instance of the 
+Scikit Learn DistanceMetric class. If a python distance function is 
+passed, it must take two 1D arrays of coordinates and return a float. 
+Must be used with the ‘BTree’ neighbor_strategy.</p>
+</dd>
+<dt><strong>to_eucl</strong><span class="classifier">function, optional</span></dt><dd><p>function that transforms a N x ndim array of positions into coordinates
+in Euclidean space. Useful for instance to link by Euclidean distance
+starting from radial coordinates. If search_range is anisotropic, this
+parameter cannot be used.</p>
+</dd>
+</dl>
+</dd>
+<dt class="field-even">Yields<span class="colon">:</span></dt>
+<dd class="field-even"><dl class="simple">
+<dt>DataFrames with added column ‘particle’ containing trajectory labels</dt><dd></dd>
+</dl>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<dl class="simple">
+<dt><a class="reference internal" href="trackpy.link.html#trackpy.link" title="trackpy.link"><code class="xref py py-obj docutils literal notranslate"><span class="pre">link</span></code></a></dt><dd></dd>
+</dl>
+</div>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.link_df_iter.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
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+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.link_iter.html b/trackpy/v0.6.2/generated/trackpy.link_iter.html
new file mode 100644
index 00000000..66ca79af
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.link_iter.html
@@ -0,0 +1,218 @@
+<!DOCTYPE html>
+
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+    <meta charset="utf-8" />
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+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
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+            
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+  <ul class="dropdown-menu globaltoc"
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+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
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+      
+  <section id="trackpy-link-iter">
+<h1>trackpy.link_iter<a class="headerlink" href="#trackpy-link-iter" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.link_iter">
+<span class="sig-prename descclassname"><span class="pre">trackpy.</span></span><span class="sig-name descname"><span class="pre">link_iter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">coords_iter</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">search_range</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">memory</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">predictor</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adaptive_stop</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adaptive_step</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.95</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">neighbor_strategy</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">link_strategy</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dist_func</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">to_eucl</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.link_iter" title="Permalink to this definition">¶</a></dt>
+<dd><p>Link an iterable of per-frame coordinates into trajectories.</p>
+<dl class="field-list">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><dl>
+<dt><strong>coords_iter</strong><span class="classifier">iterable</span></dt><dd><p>the iterable produces 2d numpy arrays of coordinates (shape: N, ndim).
+to tell link_iter what frame number each array is, the iterable may
+be enumerated so that it produces (number, 2d array) tuples</p>
+</dd>
+<dt><strong>search_range</strong><span class="classifier">float or tuple</span></dt><dd><p>the maximum distance features can move between frames,
+optionally per dimension</p>
+</dd>
+<dt><strong>memory</strong><span class="classifier">integer, optional</span></dt><dd><p>the maximum number of frames during which a feature can vanish,
+then reappear nearby, and be considered the same particle. Default: 0</p>
+</dd>
+<dt><strong>predictor</strong><span class="classifier">function, optional</span></dt><dd><p>Improve performance by guessing where a particle will be in
+the next frame.
+For examples of how this works, see the “predict” module.</p>
+</dd>
+<dt><strong>adaptive_stop</strong><span class="classifier">float, optional</span></dt><dd><p>If not None, when encountering an oversize subnet, retry by progressively
+reducing search_range until the subnet is solvable. If search_range
+becomes &lt;= adaptive_stop, give up and raise a SubnetOversizeException.</p>
+</dd>
+<dt><strong>adaptive_step</strong><span class="classifier">float, optional</span></dt><dd><p>Reduce search_range by multiplying it by this factor.</p>
+</dd>
+<dt><strong>neighbor_strategy</strong><span class="classifier">{‘KDTree’, ‘BTree’}</span></dt><dd><p>algorithm used to identify nearby features. Default ‘KDTree’.</p>
+</dd>
+<dt><strong>link_strategy</strong><span class="classifier">{‘recursive’, ‘nonrecursive’, ‘hybrid’, ‘numba’, ‘drop’, ‘auto’}</span></dt><dd><p>algorithm used to resolve subnetworks of nearby particles
+‘auto’ uses hybrid (numba+recursive) if available
+‘drop’ causes particles in subnetworks to go unlinked</p>
+</dd>
+<dt><strong>dist_func</strong><span class="classifier">function or <code class="docutils literal notranslate"><span class="pre">`sklearn.metrics.DistanceMetric`</span></code> instance, optional</span></dt><dd><p>A custom python distance function or instance of the 
+Scikit Learn DistanceMetric class. If a python distance function is 
+passed, it must take two 1D arrays of coordinates and return a float. 
+Must be used with the ‘BTree’ neighbor_strategy.</p>
+</dd>
+<dt><strong>to_eucl</strong><span class="classifier">function, optional</span></dt><dd><p>function that transforms a N x ndim array of positions into coordinates
+in Euclidean space. Useful for instance to link by Euclidean distance
+starting from radial coordinates. If search_range is anisotropic, this
+parameter cannot be used.</p>
+</dd>
+</dl>
+</dd>
+<dt class="field-even">Yields<span class="colon">:</span></dt>
+<dd class="field-even"><dl class="simple">
+<dt>tuples (t, list of particle ids)</dt><dd></dd>
+</dl>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<dl class="simple">
+<dt><a class="reference internal" href="trackpy.link.html#trackpy.link" title="trackpy.link"><code class="xref py py-obj docutils literal notranslate"><span class="pre">link</span></code></a></dt><dd></dd>
+</dl>
+</div>
+<p class="rubric">Notes</p>
+<p>This is an implementation of the Crocker-Grier linking algorithm.
+<a class="reference internal" href="#r580695f1bb8e-1" id="id1">[1]</a></p>
+<p class="rubric">References</p>
+<div role="list" class="citation-list">
+<div class="citation" id="r580695f1bb8e-1" role="doc-biblioentry">
+<span class="label"><span class="fn-bracket">[</span><a role="doc-backlink" href="#id1">1</a><span class="fn-bracket">]</span></span>
+<p>Crocker, J.C., Grier, D.G. <a class="reference external" href="http://dx.doi.org/10.1006/jcis.1996.0217">http://dx.doi.org/10.1006/jcis.1996.0217</a></p>
+</div>
+</div>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.link_iter.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
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\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.link_partial.html b/trackpy/v0.6.2/generated/trackpy.link_partial.html
new file mode 100644
index 00000000..200a4bf9
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.link_partial.html
@@ -0,0 +1,237 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.link_partial &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
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+  <div id="navbar" class="navbar navbar-default navbar-fixed-top">
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+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
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+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
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+        <div class="collapse navbar-collapse nav-collapse">
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+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
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+              <li class="dropdown globaltoc-container">
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+  <ul class="dropdown-menu globaltoc"
+      role="menu"
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+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
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+      role="menu"
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+<li><a class="reference internal" href="#">trackpy.link_partial</a></li>
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+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-link-partial">
+<h1>trackpy.link_partial<a class="headerlink" href="#trackpy-link-partial" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.link_partial">
+<span class="sig-prename descclassname"><span class="pre">trackpy.</span></span><span class="sig-name descname"><span class="pre">link_partial</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">f</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">search_range</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">link_range</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pos_columns</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_column</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'frame'</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.link_partial" title="Permalink to this definition">¶</a></dt>
+<dd><p>Patch the trajectories in a DataFrame by linking only a range of frames</p>
+<p>A dataset can be divided into several patches (time intervals) and
+linked separately with this function, for e.g. parallel processing. The
+results can then be stitched back together with reconnect_traj_patch().</p>
+<p>Another application is to link a portion of a dataset again with adjusted
+parameters.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><dl class="simple">
+<dt><strong>f</strong><span class="classifier">DataFrame</span></dt><dd><p>The DataFrame must include any number of column(s) for position and a
+column of frame numbers. By default, ‘x’ and ‘y’ are expected for
+position, and ‘frame’ is expected for frame number. See below for
+options to use custom column names.</p>
+</dd>
+<dt><strong>search_range</strong><span class="classifier">float or tuple</span></dt><dd><p>the maximum distance features can move between frames,
+optionally per dimension</p>
+</dd>
+<dt><strong>link_range</strong><span class="classifier">tuple of 2 ints</span></dt><dd><p>Only frames in the range(start, stop) will be analyzed.</p>
+</dd>
+<dt><strong>memory</strong><span class="classifier">integer, optional</span></dt><dd><p>the maximum number of frames during which a feature can vanish,
+then reappear nearby, and be considered the same particle. 0 by default.</p>
+</dd>
+<dt><strong>pos_columns</strong><span class="classifier">list of str, optional</span></dt><dd><p>Default is [‘y’, ‘x’], or [‘z’, ‘y’, ‘x’] when ‘z’ is present in f</p>
+</dd>
+<dt><strong>t_column</strong><span class="classifier">str, optional</span></dt><dd><p>Default is ‘frame’</p>
+</dd>
+<dt><strong>predictor</strong><span class="classifier">function, optional</span></dt><dd><p>Improve performance by guessing where a particle will be in
+the next frame.
+For examples of how this works, see the “predict” module.</p>
+</dd>
+<dt><strong>adaptive_stop</strong><span class="classifier">float, optional</span></dt><dd><p>If not None, when encountering an oversize subnet, retry by progressively
+reducing search_range until the subnet is solvable. If search_range
+becomes &lt;= adaptive_stop, give up and raise a SubnetOversizeException.</p>
+</dd>
+<dt><strong>adaptive_step</strong><span class="classifier">float, optional</span></dt><dd><p>Reduce search_range by multiplying it by this factor.</p>
+</dd>
+<dt><strong>link_strategy</strong><span class="classifier">{‘recursive’, ‘nonrecursive’, ‘numba’, ‘drop’, ‘auto’}</span></dt><dd><p>algorithm used to resolve subnetworks of nearby particles
+‘auto’ uses numba if available
+‘drop’ causes particles in subnetworks to go unlinked</p>
+</dd>
+</dl>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><dl class="simple">
+<dt>DataFrame with added column ‘particle’ containing trajectory labels.</dt><dd></dd>
+<dt>The t_column (by default: ‘frame’) will be coerced to integer.</dt><dd></dd>
+</dl>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<dl class="simple">
+<dt><a class="reference internal" href="trackpy.reconnect_traj_patch.html#trackpy.reconnect_traj_patch" title="trackpy.reconnect_traj_patch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">reconnect_traj_patch</span></code></a></dt><dd></dd>
+</dl>
+</div>
+<p class="rubric">Notes</p>
+<p>The memory option cannot retain particles at the boundaries between
+patches. Likewise, if a predictor depends on past trajectories, it may
+work poorly at the start of each patch.</p>
+<p class="rubric">Examples</p>
+<p>We purposely define a DataFrame with erroneously linked particles:</p>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">({</span>
+<span class="gp">... </span>    <span class="s1">&#39;x&#39;</span><span class="p">:</span> <span class="p">[</span><span class="mf">5.</span><span class="p">,</span> <span class="mf">10.</span><span class="p">,</span> <span class="mf">15.</span><span class="p">,</span> <span class="mf">20.</span><span class="p">,</span> <span class="mf">10.</span><span class="p">,</span> <span class="mf">14.</span><span class="p">,</span> <span class="mf">19.</span><span class="p">],</span>
+<span class="gp">... </span>    <span class="s1">&#39;y&#39;</span><span class="p">:</span> <span class="p">[</span><span class="mf">0.</span><span class="p">,</span> <span class="mf">0.</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mf">0.</span><span class="p">,</span> <span class="mf">2.</span><span class="p">,</span> <span class="mf">4.</span><span class="p">,</span> <span class="mf">6.</span><span class="p">],</span>
+<span class="gp">... </span>    <span class="s1">&#39;particle&#39;</span><span class="p">:</span> <span class="p">[</span><span class="mi">5</span><span class="p">,</span> <span class="mi">5</span><span class="p">,</span> <span class="mi">8</span><span class="p">,</span> <span class="mi">8</span><span class="p">,</span> <span class="mi">8</span><span class="p">,</span> <span class="mi">5</span><span class="p">,</span> <span class="mi">5</span><span class="p">],</span>
+<span class="gp">... </span>    <span class="s1">&#39;frame&#39;</span><span class="p">:</span> <span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">]</span>
+<span class="gp">... </span><span class="p">})</span>
+</pre></div>
+</div>
+<p>We can fix the missed link at frame 1 by calling link_partial like so:</p>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">link_partial</span><span class="p">(</span><span class="n">df</span><span class="p">,</span> <span class="n">search_range</span><span class="o">=</span><span class="mf">20.</span><span class="p">,</span> <span class="n">link_range</span><span class="o">=</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">))</span>
+<span class="go">      x    y  particle  frame</span>
+<span class="go">0   5.0  0.0         5      0</span>
+<span class="go">1  10.0  0.0         5      1</span>
+<span class="go">4  10.0  2.0         8      1</span>
+<span class="go">2  15.0  0.0         5      2</span>
+<span class="go">5  14.0  4.0         8      2</span>
+<span class="go">3  20.0  0.0         5      3</span>
+<span class="go">6  19.0  6.0         8      3</span>
+</pre></div>
+</div>
+<p>Note that this partial link remapped the particle indices after the
+link_range. This is done by the function <code class="docutils literal notranslate"><span class="pre">reconnect_traj_patch</span></code></p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.link_partial.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
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+  </body>
+</html>
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diff --git a/trackpy/v0.6.2/generated/trackpy.linking.find_link.html b/trackpy/v0.6.2/generated/trackpy.linking.find_link.html
new file mode 100644
index 00000000..3e2b6572
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.linking.find_link.html
@@ -0,0 +1,238 @@
+<!DOCTYPE html>
+
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+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.linking.find_link &#8212; trackpy 0.6.2 documentation</title>
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+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
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+  <section id="trackpy-linking-find-link">
+<h1>trackpy.linking.find_link<a class="headerlink" href="#trackpy-linking-find-link" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.linking.find_link">
+<span class="sig-prename descclassname"><span class="pre">trackpy.linking.</span></span><span class="sig-name descname"><span class="pre">find_link</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">reader</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">search_range</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">separation</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">diameter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">memory</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">minmass</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">noise_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smoothing_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">percentile</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">64</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">preprocess</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">before_link</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">after_link</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">refine</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.linking.find_link" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find and link features, using image data to re-find lost features.</p>
+<dl class="field-list">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><dl>
+<dt><strong>reader</strong><span class="classifier">pims.FramesSequence</span></dt><dd></dd>
+<dt><strong>search_range</strong><span class="classifier">number or tuple</span></dt><dd><p>maximum displacement of features between subsequent frames</p>
+</dd>
+<dt><strong>separation</strong><span class="classifier">number or tuple</span></dt><dd><p>minimum separation distance between features</p>
+</dd>
+<dt><strong>diameter</strong><span class="classifier">number or tuple, optional</span></dt><dd><p>feature diameter, used for characterization only.
+Also determines the margin (margin = diameter // 2).
+Default: <code class="docutils literal notranslate"><span class="pre">separation</span></code>.</p>
+</dd>
+<dt><strong>memory</strong><span class="classifier">number, optional</span></dt><dd><p>number of frames that features are allowed to disappear. Experimental.
+Default 0.</p>
+</dd>
+<dt><strong>minmass</strong><span class="classifier">number, optional</span></dt><dd><p>minimum integrated intensity (in masked image). Default 0.</p>
+</dd>
+<dt><strong>noise_size</strong><span class="classifier">number or tuple, optional</span></dt><dd><p>Size of Gaussian kernel with which the image is convoluted for noise
+reduction. Default 1.</p>
+</dd>
+<dt><strong>smoothing_size</strong><span class="classifier">number or tuple, optional</span></dt><dd><p>Size of rolling average box for background subtraction.
+By default, equals <code class="docutils literal notranslate"><span class="pre">separation</span></code>. This may introduce bias when refined on
+the background subtracted image!</p>
+</dd>
+<dt><strong>threshold</strong><span class="classifier">number, optional</span></dt><dd><p>Threshold value for image. Default None.</p>
+</dd>
+<dt><strong>percentile</strong><span class="classifier">number, optional</span></dt><dd><p>The upper percentile of intensities in the image are considered as
+feature locations. Default 64.</p>
+</dd>
+<dt><strong>preprocess</strong><span class="classifier">boolean</span></dt><dd><p>Set to False to turn off bandpass preprocessing.</p>
+</dd>
+<dt><strong>before_link</strong><span class="classifier">function, optional</span></dt><dd><p>This function is executed after the initial find of each frame, but
+but before the linking and relocating.
+It should take the following arguments (or <code class="docutils literal notranslate"><span class="pre">**kwargs</span></code>):</p>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">coords</span></code>: <a href="#id1"><span class="problematic" id="id2">`</span></a>ndarray``containing the initially found feature coordinates</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">reader</span></code>: unprocessed reader (for access to other frames)</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">image</span></code>: unprocessed image</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">image_proc</span></code>: the processed image</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">diameter</span></code></p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">separation</span></code></p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">search_range</span></code></p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">margin</span></code></p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">minmass</span></code></p></li>
+</ul>
+<p>It should return an ndarray of the same shape as <code class="docutils literal notranslate"><span class="pre">coords</span></code>.</p>
+</dd>
+<dt><strong>after_link</strong><span class="classifier">function, optional</span></dt><dd><p>This function is executed after the find and link of each frame. It
+should not change the number of features.
+It should take the following arguments (or <code class="docutils literal notranslate"><span class="pre">**kwargs</span></code>):</p>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">features</span></code>: a DataFrame containing the feature coordinates and characterization.</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">reader</span></code>: unprocessed reader (for access to other frames)</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">image</span></code>: unprocessed image</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">image_proc</span></code>: the processed image</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">diameter</span></code></p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">separation</span></code></p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">search_range</span></code></p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">margin</span></code></p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">minmass</span></code></p></li>
+</ul>
+<p>It should return a DataFrame like <code class="docutils literal notranslate"><span class="pre">features</span></code>.</p>
+</dd>
+<dt><strong>refine</strong><span class="classifier">boolean, optional</span></dt><dd><p>Convenience parameter to do center-of-mass refinement. Cannot be used
+combined with an <code class="docutils literal notranslate"><span class="pre">after_link</span></code> function. Default False.</p>
+</dd>
+</dl>
+</dd>
+</dl>
+<p class="rubric">Notes</p>
+<p>This feature is a recent addition to trackpy that is still in its
+experimental phase. Please report any issues you encounter on Github.</p>
+<p>If you use this specific algorithm for your scientific publications, please
+mention the accompanying publication <a class="reference internal" href="#r38d0ae1e00bd-1" id="id3">[1]</a></p>
+<p class="rubric">References</p>
+<div role="list" class="citation-list">
+<div class="citation" id="r38d0ae1e00bd-1" role="doc-biblioentry">
+<span class="label"><span class="fn-bracket">[</span><a role="doc-backlink" href="#id3">1</a><span class="fn-bracket">]</span></span>
+<p>van der Wel C., Kraft D.J. Automated tracking of colloidal clusters</p>
+</div>
+</div>
+<p>with sub-pixel accuracy and precision. J. Phys. Condens. Mat. 29:44001 (2017)
+DOI: <a class="reference external" href="http://dx.doi.org/10.1088/1361-648X/29/4/044001">http://dx.doi.org/10.1088/1361-648X/29/4/044001</a></p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
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+    <p class="pull-right">
+      <a href="#">Back to top</a>
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+  <a href="../_sources/generated/trackpy.linking.find_link.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
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+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
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diff --git a/trackpy/v0.6.2/generated/trackpy.linking.html b/trackpy/v0.6.2/generated/trackpy.linking.html
new file mode 100644
index 00000000..eb06b47b
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.linking.html
@@ -0,0 +1,175 @@
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+    <title>trackpy.linking &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
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+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
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+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="module-trackpy.linking">
+<span id="trackpy-linking"></span><h1>trackpy.linking<a class="headerlink" href="#module-trackpy.linking" title="Permalink to this heading">¶</a></h1>
+<p class="rubric">Modules</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="trackpy.linking.find_link.html#trackpy.linking.find_link" title="trackpy.linking.find_link"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.linking.find_link</span></code></a>(reader, ...[, ...])</p></td>
+<td><p>Find and link features, using image data to re-find lost features.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="trackpy.linking.legacy.html#module-trackpy.linking.legacy" title="trackpy.linking.legacy"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.linking.legacy</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="trackpy.linking.linking.html#module-trackpy.linking.linking" title="trackpy.linking.linking"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.linking.linking</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="trackpy.linking.partial.html#module-trackpy.linking.partial" title="trackpy.linking.partial"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.linking.partial</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="trackpy.linking.subnet.html#module-trackpy.linking.subnet" title="trackpy.linking.subnet"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.linking.subnet</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="trackpy.linking.subnetlinker.html#module-trackpy.linking.subnetlinker" title="trackpy.linking.subnetlinker"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.linking.subnetlinker</span></code></a></p></td>
+<td><p>Functions to evaluate all possible links between two groups of features.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="trackpy.linking.utils.html#module-trackpy.linking.utils" title="trackpy.linking.utils"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.linking.utils</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.linking.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
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+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.linking.legacy.html b/trackpy/v0.6.2/generated/trackpy.linking.legacy.html
new file mode 100644
index 00000000..97ae5b09
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.linking.legacy.html
@@ -0,0 +1,204 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.linking.legacy &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
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+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
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+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
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+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.linking.legacy</a></li>
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+<div class="container">
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+    <div class="body col-md-12 content" role="main">
+      
+  <section id="module-trackpy.linking.legacy">
+<span id="trackpy-linking-legacy"></span><h1>trackpy.linking.legacy<a class="headerlink" href="#module-trackpy.linking.legacy" title="Permalink to this heading">¶</a></h1>
+<p class="rubric">Functions</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">assign_candidates</span></code>(cur_hash, prev_hash, ...)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">link</span></code>(levels, search_range, hash_generator[, ...])</p></td>
+<td><p>Link features into trajectories, assigning a label to each trajectory.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">link_df</span></code>(features, search_range[, memory, ...])</p></td>
+<td><p>Link features into trajectories, assigning a label to each trajectory.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">link_df_iter</span></code>(features, search_range[, ...])</p></td>
+<td><p>Link features into trajectories, assigning a label to each trajectory.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">link_iter</span></code>(levels, search_range[, memory, ...])</p></td>
+<td><p>Link features into trajectories, assigning a label to each trajectory.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">strip_diagnostics</span></code>(tracks)</p></td>
+<td><p>Remove diagnostic information from a tracks DataFrame.</p></td>
+</tr>
+</tbody>
+</table>
+<p class="rubric">Classes</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">HashTable</span></code>(dims, box_size)</p></td>
+<td><p>Basic hash table for fast look up of particles in neighborhood.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">Hash_table</span></code></p></td>
+<td><p>alias of <code class="xref py py-class docutils literal notranslate"><span class="pre">HashTable</span></code></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">Linker</span></code>(search_range[, memory, ...])</p></td>
+<td><p>See link_iter() for a description of parameters.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">Point</span></code>()</p></td>
+<td><p>Base class for point (features) used in tracking.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">PointDiagnostics</span></code>(*args, **kwargs)</p></td>
+<td><p>Mixin to add memory diagnostics collection to a Point object.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">PointND</span></code>(t, pos[, id])</p></td>
+<td><p>Version of <code class="xref py py-class docutils literal notranslate"><span class="pre">Point</span></code> for tracking in flat space with non-periodic boundary conditions.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">PointNDDiagnostics</span></code>(*args, **kwargs)</p></td>
+<td><p>Version of <code class="xref py py-class docutils literal notranslate"><span class="pre">PointND</span></code> that collects diagnostic information during tracking.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">Track</span></code>([point])</p></td>
+<td><p>Base class for objects to represent linked tracks.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">TreeFinder</span></code>(points, search_range)</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.linking.legacy.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.linking.linking.html b/trackpy/v0.6.2/generated/trackpy.linking.linking.html
new file mode 100644
index 00000000..a4c9669e
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.linking.linking.html
@@ -0,0 +1,177 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.linking.linking &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+    <link rel="next" title="trackpy.linking.partial" href="trackpy.linking.partial.html" />
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+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
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+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
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+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
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+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.linking.linking</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
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+          </ul>
+
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+<form class="navbar-form navbar-right" action="../search.html" method="get">
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+          
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+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="module-trackpy.linking.linking">
+<span id="trackpy-linking-linking"></span><h1>trackpy.linking.linking<a class="headerlink" href="#module-trackpy.linking.linking" title="Permalink to this heading">¶</a></h1>
+<p class="rubric">Functions</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">adaptive_link_wrap</span></code>(source_set, dest_set, ...)</p></td>
+<td><p>Wraps a subnetlinker, making it adaptive.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">link</span></code>(f, search_range[, pos_columns, ...])</p></td>
+<td><p>Link a DataFrame of coordinates into trajectories.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">link_df</span></code>(f, search_range[, pos_columns, ...])</p></td>
+<td><p>Link a DataFrame of coordinates into trajectories.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">link_df_iter</span></code>(f_iter, search_range[, ...])</p></td>
+<td><p>Link an iterable of DataFrames into trajectories.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">link_iter</span></code>(coords_iter, search_range[, ...])</p></td>
+<td><p>Link an iterable of per-frame coordinates into trajectories.</p></td>
+</tr>
+</tbody>
+</table>
+<p class="rubric">Classes</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">Linker</span></code>(search_range[, memory, predictor, ...])</p></td>
+<td><p>Linker class that sequentially links ndarrays of coordinates together.</p></td>
+</tr>
+</tbody>
+</table>
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.linking.linking.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.linking.partial.html b/trackpy/v0.6.2/generated/trackpy.linking.partial.html
new file mode 100644
index 00000000..e9f92d80
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.linking.partial.html
@@ -0,0 +1,163 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.linking.partial &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
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+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+    <link rel="next" title="trackpy.linking.subnet" href="trackpy.linking.subnet.html" />
+    <link rel="prev" title="trackpy.linking.linking" href="trackpy.linking.linking.html" />
+<meta charset='utf-8'>
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+          trackpy</a>
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+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
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+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
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+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.linking.partial</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
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+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="module-trackpy.linking.partial">
+<span id="trackpy-linking-partial"></span><h1>trackpy.linking.partial<a class="headerlink" href="#module-trackpy.linking.partial" title="Permalink to this heading">¶</a></h1>
+<p class="rubric">Functions</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">coords_from_df_partial</span></code>(df, pos_columns, ...)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">link_partial</span></code>(f, search_range, link_range[, ...])</p></td>
+<td><p>Patch the trajectories in a DataFrame by linking only a range of frames</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">reconnect_traj_patch</span></code>(f, link_range, ...[, ...])</p></td>
+<td><p>Reconnect the trajectory inside a range of frames to the trajectories outside the range.</p></td>
+</tr>
+</tbody>
+</table>
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
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+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.linking.partial.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.linking.subnet.html b/trackpy/v0.6.2/generated/trackpy.linking.subnet.html
new file mode 100644
index 00000000..661ede23
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.linking.subnet.html
@@ -0,0 +1,177 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.linking.subnet &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
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+    <link rel="next" title="trackpy.linking.subnetlinker" href="trackpy.linking.subnetlinker.html" />
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+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
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+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
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+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.linking.subnet</a></li>
+</ul>
+</ul>
+</li>
+              
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+
+          
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+<form class="navbar-form navbar-right" action="../search.html" method="get">
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+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="module-trackpy.linking.subnet">
+<span id="trackpy-linking-subnet"></span><h1>trackpy.linking.subnet<a class="headerlink" href="#module-trackpy.linking.subnet" title="Permalink to this heading">¶</a></h1>
+<p class="rubric">Functions</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">assign_subnet</span></code>(source, dest, subnets)</p></td>
+<td><p>Assign source point and dest point to the same subnet</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">split_subnet</span></code>(source, dest, new_range)</p></td>
+<td><p>Break apart a subnet by using a reduced search_range.</p></td>
+</tr>
+</tbody>
+</table>
+<p class="rubric">Classes</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">HashBTree</span></code>(points, ndim[, to_eucl, dist_func])</p></td>
+<td><p>Implementation of hash using sklearn.neighbors.BallTree</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">HashBase</span></code>(points, ndim)</p></td>
+<td><p>Base for classes that efficiently find features near a point.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">HashKDTree</span></code>(points, ndim[, to_eucl, dist_func])</p></td>
+<td><p>Implementation of hash using scipy.spatial.cKDTree</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">Subnets</span></code>(source_hash, dest_hash, search_range)</p></td>
+<td><p>Class that identifies the possible links between two groups of features.</p></td>
+</tr>
+</tbody>
+</table>
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.linking.subnet.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.linking.subnetlinker.html b/trackpy/v0.6.2/generated/trackpy.linking.subnetlinker.html
new file mode 100644
index 00000000..7ab2d5f4
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.linking.subnetlinker.html
@@ -0,0 +1,189 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.linking.subnetlinker &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
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+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
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+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
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+  <ul class="dropdown-menu globaltoc"
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+      aria-labelledby="dLabelGlobalToc"><ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
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+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.linking.subnetlinker</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
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+
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+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
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+
+<div class="container">
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+    <div class="body col-md-12 content" role="main">
+      
+  <section id="module-trackpy.linking.subnetlinker">
+<span id="trackpy-linking-subnetlinker"></span><h1>trackpy.linking.subnetlinker<a class="headerlink" href="#module-trackpy.linking.subnetlinker" title="Permalink to this heading">¶</a></h1>
+<p>Functions to evaluate all possible links between two groups of features.</p>
+<p>These are low-level functions that rigorously resolve cases when features
+can be linked in more than one way.</p>
+<p class="rubric">Functions</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">drop_link</span></code>(source_list, dest_size, search_range)</p></td>
+<td><p>Handle subnets by dropping particles.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">nonrecursive_link</span></code>(source_list, dest_size, ...)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">numba_link</span></code>(s_sn, dest_size, search_range[, ...])</p></td>
+<td><p>Recursively find the optimal bonds for a group of particles between 2 frames.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">recursive_linker_obj</span></code>(s_sn, dest_size, ...[, ...])</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">subnet_linker_drop</span></code>(source_set, dest_set, ...)</p></td>
+<td><p>Handle subnets by dropping particles.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">subnet_linker_nonrecursive</span></code>(source_set, ...)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">subnet_linker_numba</span></code>(source_set, dest_set, ...)</p></td>
+<td><p>Link a subnet using a numba-accelerated algorithm.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">subnet_linker_recursive</span></code>(source_set, ...)</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+<p class="rubric">Classes</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">SubnetLinker</span></code>(s_sn, dest_size, search_range)</p></td>
+<td><p>A helper class for implementing the Crocker-Grier tracking algorithm.</p></td>
+</tr>
+</tbody>
+</table>
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
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+  <a href="../_sources/generated/trackpy.linking.subnetlinker.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
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\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.linking.utils.html b/trackpy/v0.6.2/generated/trackpy.linking.utils.html
new file mode 100644
index 00000000..446185b2
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.linking.utils.html
@@ -0,0 +1,191 @@
+<!DOCTYPE html>
+
+<html lang="en">
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+
+    <title>trackpy.linking.utils &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
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+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
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+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
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+<li><a class="reference internal" href="#">trackpy.linking.utils</a></li>
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+<div class="container">
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+    <div class="body col-md-12 content" role="main">
+      
+  <section id="module-trackpy.linking.utils">
+<span id="trackpy-linking-utils"></span><h1>trackpy.linking.utils<a class="headerlink" href="#module-trackpy.linking.utils" title="Permalink to this heading">¶</a></h1>
+<p class="rubric">Functions</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">coords_from_df</span></code>(df, pos_columns, t_column)</p></td>
+<td><p>A generator that returns ndarrays of coords from a DataFrame.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">coords_from_df_iter</span></code>(df_iter, pos_columns, ...)</p></td>
+<td><p>A generator that returns ndarrays of coords from a generator of DataFrames.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">points_from_arr</span></code>(coords, frame_no[, extra_data])</p></td>
+<td><p>Convert an ndarray of coordinates to a list of PointFindLink</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">points_to_arr</span></code>(level)</p></td>
+<td><p>Convert a list of Points to an ndarray of coordinates</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">verify_integrity</span></code>(df)</p></td>
+<td><p>Verifies that particle labels are unique for each frame, and that every particle is labeled.</p></td>
+</tr>
+</tbody>
+</table>
+<p class="rubric">Classes</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">Point</span></code>(t, pos[, id, extra_data])</p></td>
+<td><p>Base class for point (features) used in tracking.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">TrackUnstored</span></code>([point])</p></td>
+<td><p>Base class for objects to represent linked tracks.</p></td>
+</tr>
+</tbody>
+</table>
+<p class="rubric">Exceptions</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="trackpy.SubnetOversizeException.html#trackpy.SubnetOversizeException" title="trackpy.linking.utils.SubnetOversizeException"><code class="xref py py-obj docutils literal notranslate"><span class="pre">SubnetOversizeException</span></code></a></p></td>
+<td><p>An <code class="xref py py-exc docutils literal notranslate"><span class="pre">Exception</span></code> to be raised when the sub-nets are too big to be efficiently linked.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">UnknownLinkingError</span></code></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
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+    <p class="pull-right">
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+  <a href="../_sources/generated/trackpy.linking.utils.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
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+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.locate.html b/trackpy/v0.6.2/generated/trackpy.locate.html
new file mode 100644
index 00000000..b3b067b1
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.locate.html
@@ -0,0 +1,256 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.locate &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
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+        <a class="navbar-brand" href="../index.html">
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+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
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+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
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+     id="dLabelLocalToc"
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+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.locate</a></li>
+</ul>
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+</li>
+              
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+<div class="container">
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+      
+  <section id="trackpy-locate">
+<h1>trackpy.locate<a class="headerlink" href="#trackpy-locate" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.locate">
+<span class="sig-prename descclassname"><span class="pre">trackpy.</span></span><span class="sig-name descname"><span class="pre">locate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">raw_image</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">diameter</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">minmass</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">maxsize</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">separation</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">noise_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smoothing_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">invert</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">percentile</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">64</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">topn</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">preprocess</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_iterations</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">filter_before</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">filter_after</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">characterize</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">engine</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'auto'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.locate" title="Permalink to this definition">¶</a></dt>
+<dd><p>Locate Gaussian-like blobs of some approximate size in an image.</p>
+<p>Preprocess the image by performing a band pass and a threshold.
+Locate all peaks of brightness, characterize the neighborhoods of the peaks
+and take only those with given total brightness (“mass”). Finally,
+refine the positions of each peak.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><dl class="simple">
+<dt><strong>raw_image</strong><span class="classifier">array (any dimensions)</span></dt><dd><p>Image used for final characterization. Ideally, pixel values of
+this image are not rescaled, but it can also be identical to
+<code class="docutils literal notranslate"><span class="pre">image</span></code>.</p>
+</dd>
+<dt><strong>image</strong><span class="classifier">array (same size as raw_image)</span></dt><dd><p>Processed image used for centroid-finding and most particle
+measurements.</p>
+</dd>
+<dt><strong>diameter</strong><span class="classifier">odd integer or tuple of odd integers</span></dt><dd><p>This may be a single number or a tuple giving the feature’s
+extent in each dimension, useful when the dimensions do not have
+equal resolution (e.g. confocal microscopy). The tuple order is the
+same as the image shape, conventionally (z, y, x) or (y, x). The
+number(s) must be odd integers. When in doubt, round up.</p>
+</dd>
+<dt><strong>minmass</strong><span class="classifier">float</span></dt><dd><p>The minimum integrated brightness. This is a crucial parameter for
+eliminating spurious features.
+Recommended minimum values are 100 for integer images and 1 for float
+images. Defaults to 0 (no filtering).
+.. warning:: The mass value is changed since v0.3.0
+.. warning:: The default behaviour of minmass has changed since v0.4.0</p>
+</dd>
+<dt><strong>maxsize</strong><span class="classifier">float</span></dt><dd><p>maximum radius-of-gyration of brightness, default None</p>
+</dd>
+<dt><strong>separation</strong><span class="classifier">float or tuple</span></dt><dd><p>Minimum separation between features.
+Default is diameter + 1. May be a tuple, see diameter for details.</p>
+</dd>
+<dt><strong>noise_size</strong><span class="classifier">float or tuple</span></dt><dd><p>Width of Gaussian blurring kernel, in pixels
+Default is 1. May be a tuple, see diameter for details.</p>
+</dd>
+<dt><strong>smoothing_size</strong><span class="classifier">float or tuple</span></dt><dd><p>The size of the sides of the square kernel used in boxcar (rolling
+average) smoothing, in pixels
+Default is diameter. May be a tuple, making the kernel rectangular.</p>
+</dd>
+<dt><strong>threshold</strong><span class="classifier">float</span></dt><dd><p>Clip bandpass result below this value. Thresholding is done on the
+already background-subtracted image.
+By default, 1 for integer images and 1/255 for float images.</p>
+</dd>
+<dt><strong>invert</strong><span class="classifier">boolean</span></dt><dd><p>This will be deprecated. Use an appropriate PIMS pipeline to invert a
+Frame or FramesSequence.
+Set to True if features are darker than background. False by default.</p>
+</dd>
+<dt><strong>percentile</strong><span class="classifier">float</span></dt><dd><p>Features must have a peak brighter than pixels in this
+percentile. This helps eliminate spurious peaks.</p>
+</dd>
+<dt><strong>topn</strong><span class="classifier">integer</span></dt><dd><p>Return only the N brightest features above minmass.
+If None (default), return all features above minmass.</p>
+</dd>
+<dt><strong>preprocess</strong><span class="classifier">boolean</span></dt><dd><p>Set to False to turn off bandpass preprocessing.</p>
+</dd>
+<dt><strong>max_iterations</strong><span class="classifier">integer</span></dt><dd><p>max number of loops to refine the center of mass, default 10</p>
+</dd>
+<dt><strong>filter_before</strong><span class="classifier">boolean</span></dt><dd><p>filter_before is no longer supported as it does not improve performance.</p>
+</dd>
+<dt><strong>filter_after</strong><span class="classifier">boolean</span></dt><dd><p>This parameter has been deprecated: use minmass and maxsize.</p>
+</dd>
+<dt><strong>characterize</strong><span class="classifier">boolean</span></dt><dd><p>Compute “extras”: eccentricity, signal, ep. True by default.</p>
+</dd>
+<dt><strong>engine</strong><span class="classifier">{‘auto’, ‘python’, ‘numba’}</span></dt><dd></dd>
+</dl>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><dl class="simple">
+<dt>DataFrame([x, y, mass, size, ecc, signal, raw_mass])</dt><dd><p>where “x, y” are appropriate to the dimensionality of the image,
+mass means total integrated brightness of the blob,
+size means the radius of gyration of its Gaussian-like profile,
+ecc is its eccentricity (0 is circular),
+and raw_mass is the total integrated brightness in raw_image.</p>
+</dd>
+</dl>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<dl class="simple">
+<dt><a class="reference internal" href="trackpy.batch.html#trackpy.batch" title="trackpy.batch"><code class="xref py py-obj docutils literal notranslate"><span class="pre">batch</span></code></a></dt><dd><p>performs location on many images in batch</p>
+</dd>
+<dt><a class="reference internal" href="trackpy.minmass_v03_change.html#trackpy.minmass_v03_change" title="trackpy.minmass_v03_change"><code class="xref py py-obj docutils literal notranslate"><span class="pre">minmass_v03_change</span></code></a></dt><dd><p>to convert minmass from v0.2.4 to v0.3.0</p>
+</dd>
+<dt><a class="reference internal" href="trackpy.minmass_v04_change.html#trackpy.minmass_v04_change" title="trackpy.minmass_v04_change"><code class="xref py py-obj docutils literal notranslate"><span class="pre">minmass_v04_change</span></code></a></dt><dd><p>to convert minmass from v0.3.x to v0.4.x</p>
+</dd>
+</dl>
+</div>
+<p class="rubric">Notes</p>
+<p>Locate works with a coordinate system that has its origin at the center of
+pixel (0, 0). In almost all cases this will be the top-left pixel: the
+y-axis is pointing downwards.</p>
+<p>This is an implementation of the Crocker-Grier centroid-finding algorithm.
+<a class="reference internal" href="#rd8297186acd3-1" id="id1">[1]</a></p>
+<p class="rubric">References</p>
+<div role="list" class="citation-list">
+<div class="citation" id="rd8297186acd3-1" role="doc-biblioentry">
+<span class="label"><span class="fn-bracket">[</span><a role="doc-backlink" href="#id1">1</a><span class="fn-bracket">]</span></span>
+<p>Crocker, J.C., Grier, D.G. <a class="reference external" href="http://dx.doi.org/10.1006/jcis.1996.0217">http://dx.doi.org/10.1006/jcis.1996.0217</a></p>
+</div>
+</div>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
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+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.locate.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
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diff --git a/trackpy/v0.6.2/generated/trackpy.locate_functions.brightfield_ring.html b/trackpy/v0.6.2/generated/trackpy.locate_functions.brightfield_ring.html
new file mode 100644
index 00000000..9731c9f1
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+
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+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
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+      
+  <section id="module-trackpy.locate_functions.brightfield_ring">
+<span id="trackpy-locate-functions-brightfield-ring"></span><h1>trackpy.locate_functions.brightfield_ring<a class="headerlink" href="#module-trackpy.locate_functions.brightfield_ring" title="Permalink to this heading">¶</a></h1>
+<p>Detect particles in brightfield mode by tracking a ring of dark pixels around a
+bright interior part. Based on <a class="reference external" href="https://github.com/caspervdw/circletracking">https://github.com/caspervdw/circletracking</a></p>
+<p class="rubric">Functions</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">locate_brightfield_ring</span></code>(raw_image, diameter)</p></td>
+<td><p>Locate particles imaged in brightfield mode of some approximate size in an image.</p></td>
+</tr>
+</tbody>
+</table>
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
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+  <div class="container">
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+</div>
+      
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+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
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diff --git a/trackpy/v0.6.2/generated/trackpy.locate_functions.html b/trackpy/v0.6.2/generated/trackpy.locate_functions.html
new file mode 100644
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@@ -0,0 +1,157 @@
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+
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+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
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+</ul>
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+      
+  <section id="module-trackpy.locate_functions">
+<span id="trackpy-locate-functions"></span><h1>trackpy.locate_functions<a class="headerlink" href="#module-trackpy.locate_functions" title="Permalink to this heading">¶</a></h1>
+<p class="rubric">Modules</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="trackpy.locate_functions.brightfield_ring.html#module-trackpy.locate_functions.brightfield_ring" title="trackpy.locate_functions.brightfield_ring"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.locate_functions.brightfield_ring</span></code></a></p></td>
+<td><p>Detect particles in brightfield mode by tracking a ring of dark pixels around a bright interior part.</p></td>
+</tr>
+</tbody>
+</table>
+</section>
+
+
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+      
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diff --git a/trackpy/v0.6.2/generated/trackpy.masks.binary_mask.html b/trackpy/v0.6.2/generated/trackpy.masks.binary_mask.html
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index 00000000..8a7fcb81
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+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
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+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.masks.binary_mask</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
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+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-masks-binary-mask">
+<h1>trackpy.masks.binary_mask<a class="headerlink" href="#trackpy-masks-binary-mask" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.masks.binary_mask">
+<span class="sig-prename descclassname"><span class="pre">trackpy.masks.</span></span><span class="sig-name descname"><span class="pre">binary_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">radius</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ndim</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.masks.binary_mask" title="Permalink to this definition">¶</a></dt>
+<dd><p>Elliptical mask in a rectangular array</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
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+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.masks.binary_mask.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
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+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.masks.cosmask.html b/trackpy/v0.6.2/generated/trackpy.masks.cosmask.html
new file mode 100644
index 00000000..904c8460
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.masks.cosmask.html
@@ -0,0 +1,155 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.masks.cosmask &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
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+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
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+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+    <link rel="next" title="trackpy.masks.sinmask" href="trackpy.masks.sinmask.html" />
+    <link rel="prev" title="trackpy.masks.x_squared_masks" href="trackpy.masks.x_squared_masks.html" />
+<meta charset='utf-8'>
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+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
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+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
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+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.masks.cosmask</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
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+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-masks-cosmask">
+<h1>trackpy.masks.cosmask<a class="headerlink" href="#trackpy-masks-cosmask" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.masks.cosmask">
+<span class="sig-prename descclassname"><span class="pre">trackpy.masks.</span></span><span class="sig-name descname"><span class="pre">cosmask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">radius</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.masks.cosmask" title="Permalink to this definition">¶</a></dt>
+<dd><p>Sin of theta_mask</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.masks.cosmask.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
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+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.masks.gaussian_kernel.html b/trackpy/v0.6.2/generated/trackpy.masks.gaussian_kernel.html
new file mode 100644
index 00000000..07ad1499
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.masks.gaussian_kernel.html
@@ -0,0 +1,155 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.masks.gaussian_kernel &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
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+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+    <link rel="next" title="trackpy.masks.mask_image" href="trackpy.masks.mask_image.html" />
+    <link rel="prev" title="trackpy.masks.theta_mask" href="trackpy.masks.theta_mask.html" />
+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
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+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
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+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
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+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
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+     id="dLabelGlobalToc"
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+     data-target="#"
+     href="../index.html">Site <b class="caret"></b></a>
+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.masks.gaussian_kernel</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-masks-gaussian-kernel">
+<h1>trackpy.masks.gaussian_kernel<a class="headerlink" href="#trackpy-masks-gaussian-kernel" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.masks.gaussian_kernel">
+<span class="sig-prename descclassname"><span class="pre">trackpy.masks.</span></span><span class="sig-name descname"><span class="pre">gaussian_kernel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sigma</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">truncate</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">4.0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.masks.gaussian_kernel" title="Permalink to this definition">¶</a></dt>
+<dd><p>1D discretized gaussian</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.masks.gaussian_kernel.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.masks.html b/trackpy/v0.6.2/generated/trackpy.masks.html
new file mode 100644
index 00000000..08a31495
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.masks.html
@@ -0,0 +1,190 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.masks &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
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+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+    <link rel="next" title="trackpy.motion" href="trackpy.motion.html" />
+    <link rel="prev" title="trackpy.locate_functions.brightfield_ring" href="trackpy.locate_functions.brightfield_ring.html" />
+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
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+  <section id="module-trackpy.masks">
+<span id="trackpy-masks"></span><h1>trackpy.masks<a class="headerlink" href="#module-trackpy.masks" title="Permalink to this heading">¶</a></h1>
+<p class="rubric">Functions</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">N_binary_mask</span></code>(radius, ndim)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="trackpy.masks.binary_mask.html#trackpy.masks.binary_mask" title="trackpy.masks.binary_mask"><code class="xref py py-obj docutils literal notranslate"><span class="pre">binary_mask</span></code></a>(radius, ndim)</p></td>
+<td><p>Elliptical mask in a rectangular array</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="trackpy.masks.cosmask.html#trackpy.masks.cosmask" title="trackpy.masks.cosmask"><code class="xref py py-obj docutils literal notranslate"><span class="pre">cosmask</span></code></a>(radius)</p></td>
+<td><p>Sin of theta_mask</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="trackpy.masks.gaussian_kernel.html#trackpy.masks.gaussian_kernel" title="trackpy.masks.gaussian_kernel"><code class="xref py py-obj docutils literal notranslate"><span class="pre">gaussian_kernel</span></code></a>(sigma[, truncate])</p></td>
+<td><p>1D discretized gaussian</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_mask</span></code>(pos, shape, radius[, include_edge, ...])</p></td>
+<td><p>Create a binary mask that masks pixels farther than radius to all given feature positions.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_slice</span></code>(coords, shape, radius)</p></td>
+<td><p>Returns the slice and origin that belong to <code class="docutils literal notranslate"><span class="pre">slice_image</span></code></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="trackpy.masks.mask_image.html#trackpy.masks.mask_image" title="trackpy.masks.mask_image"><code class="xref py py-obj docutils literal notranslate"><span class="pre">mask_image</span></code></a>(pos, image, radius[, origin, ...])</p></td>
+<td><p>Masks an image so that pixels farther than radius to all given feature positions become 0.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="trackpy.masks.r_squared_mask.html#trackpy.masks.r_squared_mask" title="trackpy.masks.r_squared_mask"><code class="xref py py-obj docutils literal notranslate"><span class="pre">r_squared_mask</span></code></a>(radius, ndim)</p></td>
+<td><p>Mask with values r^2 inside radius and 0 outside</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="trackpy.masks.sinmask.html#trackpy.masks.sinmask" title="trackpy.masks.sinmask"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sinmask</span></code></a>(radius)</p></td>
+<td><p>Sin of theta_mask</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="trackpy.masks.slice_image.html#trackpy.masks.slice_image" title="trackpy.masks.slice_image"><code class="xref py py-obj docutils literal notranslate"><span class="pre">slice_image</span></code></a>(pos, image, radius)</p></td>
+<td><p>Slice a box around a group of features from an image.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="trackpy.masks.theta_mask.html#trackpy.masks.theta_mask" title="trackpy.masks.theta_mask"><code class="xref py py-obj docutils literal notranslate"><span class="pre">theta_mask</span></code></a>(radius)</p></td>
+<td><p>Mask of values giving angular position relative to center.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="trackpy.masks.x_squared_masks.html#trackpy.masks.x_squared_masks" title="trackpy.masks.x_squared_masks"><code class="xref py py-obj docutils literal notranslate"><span class="pre">x_squared_masks</span></code></a>(radius, ndim)</p></td>
+<td><p>Returns ndim masks with values x^2 inside radius and 0 outside</p></td>
+</tr>
+</tbody>
+</table>
+</section>
+
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diff --git a/trackpy/v0.6.2/generated/trackpy.masks.mask_image.html b/trackpy/v0.6.2/generated/trackpy.masks.mask_image.html
new file mode 100644
index 00000000..2c87e37d
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.masks.mask_image.html
@@ -0,0 +1,175 @@
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+  <section id="trackpy-masks-mask-image">
+<h1>trackpy.masks.mask_image<a class="headerlink" href="#trackpy-masks-mask-image" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.masks.mask_image">
+<span class="sig-prename descclassname"><span class="pre">trackpy.masks.</span></span><span class="sig-name descname"><span class="pre">mask_image</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">pos</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">image</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">radius</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">origin</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">invert</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">include_edge</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.masks.mask_image" title="Permalink to this definition">¶</a></dt>
+<dd><p>Masks an image so that pixels farther than radius to all given feature
+positions become 0.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><dl class="simple">
+<dt><strong>pos</strong><span class="classifier">ndarray</span></dt><dd><p>Feature positions (N x 2 or N x 3)</p>
+</dd>
+<dt><strong>image</strong><span class="classifier">ndarray</span></dt><dd></dd>
+<dt><strong>radius</strong><span class="classifier">number or tuple</span></dt><dd><p>Radius of the individual feature masks</p>
+</dd>
+<dt><strong>origin</strong><span class="classifier">tuple, optional</span></dt><dd><p>The topleft coordinate (origin) of the image.</p>
+</dd>
+<dt><strong>invert</strong><span class="classifier">boolean, optional</span></dt><dd><p>If invert==True, the features instead of the background will become 0.</p>
+</dd>
+<dt><strong>include_edge</strong><span class="classifier">boolean, optional</span></dt><dd><p>Determine whether pixels at exactly one radius from a position are
+included in the feature mask.
+Defaults to True if invert==False, and to False if invert==True.</p>
+</dd>
+</dl>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+
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+</div>
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diff --git a/trackpy/v0.6.2/generated/trackpy.masks.r_squared_mask.html b/trackpy/v0.6.2/generated/trackpy.masks.r_squared_mask.html
new file mode 100644
index 00000000..3a3ba0b8
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.masks.r_squared_mask.html
@@ -0,0 +1,155 @@
+<!DOCTYPE html>
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+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
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+     id="dLabelLocalToc"
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+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.masks.r_squared_mask</a></li>
+</ul>
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+              
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+            
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+<div class="container">
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+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-masks-r-squared-mask">
+<h1>trackpy.masks.r_squared_mask<a class="headerlink" href="#trackpy-masks-r-squared-mask" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.masks.r_squared_mask">
+<span class="sig-prename descclassname"><span class="pre">trackpy.masks.</span></span><span class="sig-name descname"><span class="pre">r_squared_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">radius</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ndim</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.masks.r_squared_mask" title="Permalink to this definition">¶</a></dt>
+<dd><p>Mask with values r^2 inside radius and 0 outside</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
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+  <a href="../_sources/generated/trackpy.masks.r_squared_mask.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
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\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.masks.sinmask.html b/trackpy/v0.6.2/generated/trackpy.masks.sinmask.html
new file mode 100644
index 00000000..7b73672d
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.masks.sinmask.html
@@ -0,0 +1,155 @@
+<!DOCTYPE html>
+
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+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
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+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
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+<div class="container">
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+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-masks-sinmask">
+<h1>trackpy.masks.sinmask<a class="headerlink" href="#trackpy-masks-sinmask" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.masks.sinmask">
+<span class="sig-prename descclassname"><span class="pre">trackpy.masks.</span></span><span class="sig-name descname"><span class="pre">sinmask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">radius</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.masks.sinmask" title="Permalink to this definition">¶</a></dt>
+<dd><p>Sin of theta_mask</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.masks.sinmask.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.masks.slice_image.html b/trackpy/v0.6.2/generated/trackpy.masks.slice_image.html
new file mode 100644
index 00000000..a6050e42
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.masks.slice_image.html
@@ -0,0 +1,185 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.masks.slice_image &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
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+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
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+<li><a class="reference internal" href="#">trackpy.masks.slice_image</a></li>
+</ul>
+</ul>
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+              
+            
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+<div class="container">
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+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-masks-slice-image">
+<h1>trackpy.masks.slice_image<a class="headerlink" href="#trackpy-masks-slice-image" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.masks.slice_image">
+<span class="sig-prename descclassname"><span class="pre">trackpy.masks.</span></span><span class="sig-name descname"><span class="pre">slice_image</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">pos</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">image</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">radius</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.masks.slice_image" title="Permalink to this definition">¶</a></dt>
+<dd><p>Slice a box around a group of features from an image.</p>
+<p>The box is the smallest box that contains all coordinates up to <cite>radius</cite>
+from any coordinate.</p>
+<dl class="field-list">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><dl class="simple">
+<dt><strong>image</strong><span class="classifier">ndarray</span></dt><dd><p>The image that will be sliced</p>
+</dd>
+<dt><strong>pos</strong><span class="classifier">iterable</span></dt><dd><p>An iterable (e.g. list or ndarray) that contains the feature positions</p>
+</dd>
+<dt><strong>radius</strong><span class="classifier">number or tuple of numbers</span></dt><dd><p>Defines the size of the slice. Every pixel that has a distance lower or
+equal to <cite>radius</cite> to a feature position is included.</p>
+</dd>
+</dl>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><dl class="simple">
+<dt>tuple of:</dt><dd></dd>
+</dl>
+<ul class="simple">
+<li><dl class="simple">
+<dt>the sliced image</dt><dd></dd>
+</dl>
+</li>
+<li><dl class="simple">
+<dt>the coordinate of the slice origin (top-left pixel)</dt><dd></dd>
+</dl>
+</li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+
+
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+      
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+</div>
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+      
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+  <a href="../_sources/generated/trackpy.masks.slice_image.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
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+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.masks.theta_mask.html b/trackpy/v0.6.2/generated/trackpy.masks.theta_mask.html
new file mode 100644
index 00000000..07cfd640
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.masks.theta_mask.html
@@ -0,0 +1,162 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.masks.theta_mask &#8212; trackpy 0.6.2 documentation</title>
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+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
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+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
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+     id="dLabelLocalToc"
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+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.masks.theta_mask</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
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+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-masks-theta-mask">
+<h1>trackpy.masks.theta_mask<a class="headerlink" href="#trackpy-masks-theta-mask" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.masks.theta_mask">
+<span class="sig-prename descclassname"><span class="pre">trackpy.masks.</span></span><span class="sig-name descname"><span class="pre">theta_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">radius</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.masks.theta_mask" title="Permalink to this definition">¶</a></dt>
+<dd><p>Mask of values giving angular position relative to center. The angle is
+defined according to ISO standards in which the angle is measured counter-
+clockwise from the x axis, measured in a normal coordinate system with y-
+axis pointing up and x axis pointing right.</p>
+<p>In other words: for increasing angle, the coordinate moves counterclockwise
+around the feature center starting on the right side.</p>
+<p>However, in most images, the y-axis will point down so that the coordinate
+will appear to move clockwise around the feature center.</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.masks.theta_mask.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.masks.x_squared_masks.html b/trackpy/v0.6.2/generated/trackpy.masks.x_squared_masks.html
new file mode 100644
index 00000000..639265d9
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.masks.x_squared_masks.html
@@ -0,0 +1,155 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.masks.x_squared_masks &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
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+    <link rel="next" title="trackpy.masks.cosmask" href="trackpy.masks.cosmask.html" />
+    <link rel="prev" title="trackpy.masks.r_squared_mask" href="trackpy.masks.r_squared_mask.html" />
+<meta charset='utf-8'>
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+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
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+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
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+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.masks.x_squared_masks</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
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+          </ul>
+
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+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
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+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-masks-x-squared-masks">
+<h1>trackpy.masks.x_squared_masks<a class="headerlink" href="#trackpy-masks-x-squared-masks" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.masks.x_squared_masks">
+<span class="sig-prename descclassname"><span class="pre">trackpy.masks.</span></span><span class="sig-name descname"><span class="pre">x_squared_masks</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">radius</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ndim</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.masks.x_squared_masks" title="Permalink to this definition">¶</a></dt>
+<dd><p>Returns ndim masks with values x^2 inside radius and 0 outside</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.masks.x_squared_masks.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
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\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.mass_ecc.html b/trackpy/v0.6.2/generated/trackpy.mass_ecc.html
new file mode 100644
index 00000000..2784a0ba
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.mass_ecc.html
@@ -0,0 +1,155 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.mass_ecc &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
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+    <link rel="next" title="trackpy.mass_size" href="trackpy.mass_size.html" />
+    <link rel="prev" title="trackpy.plot_density_profile" href="trackpy.plot_density_profile.html" />
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+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
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+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
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+  <ul class="dropdown-menu globaltoc"
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+      aria-labelledby="dLabelGlobalToc"><ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.mass_ecc</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
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+  <input type="hidden" name="area" value="default" />
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+          
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+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-mass-ecc">
+<h1>trackpy.mass_ecc<a class="headerlink" href="#trackpy-mass-ecc" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.mass_ecc">
+<span class="sig-prename descclassname"><span class="pre">trackpy.</span></span><span class="sig-name descname"><span class="pre">mass_ecc</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">f</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ax</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.mass_ecc" title="Permalink to this definition">¶</a></dt>
+<dd><p>Plot each particle’s mass versus eccentricity.</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.mass_ecc.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
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+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.mass_size.html b/trackpy/v0.6.2/generated/trackpy.mass_size.html
new file mode 100644
index 00000000..67388207
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.mass_size.html
@@ -0,0 +1,155 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.mass_size &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
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+    <script src="../_static/underscore.js"></script>
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+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+    <link rel="next" title="trackpy.find.percentile_threshold" href="trackpy.find.percentile_threshold.html" />
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+
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+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
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+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
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+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.mass_size</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
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+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-mass-size">
+<h1>trackpy.mass_size<a class="headerlink" href="#trackpy-mass-size" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.mass_size">
+<span class="sig-prename descclassname"><span class="pre">trackpy.</span></span><span class="sig-name descname"><span class="pre">mass_size</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">f</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ax</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.mass_size" title="Permalink to this definition">¶</a></dt>
+<dd><p>Plot each particle’s mass versus size.</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.mass_size.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
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+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.minmass_v03_change.html b/trackpy/v0.6.2/generated/trackpy.minmass_v03_change.html
new file mode 100644
index 00000000..58438bd9
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.minmass_v03_change.html
@@ -0,0 +1,183 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
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+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
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+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
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+<li><a class="reference internal" href="#">trackpy.minmass_v03_change</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
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+          </ul>
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+      
+  <section id="trackpy-minmass-v03-change">
+<h1>trackpy.minmass_v03_change<a class="headerlink" href="#trackpy-minmass-v03-change" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.minmass_v03_change">
+<span class="sig-prename descclassname"><span class="pre">trackpy.</span></span><span class="sig-name descname"><span class="pre">minmass_v03_change</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">raw_image</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">old_minmass</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">preprocess</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">invert</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">noise_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smoothing_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.minmass_v03_change" title="Permalink to this definition">¶</a></dt>
+<dd><p>Convert minmass value from v0.2.4 to v0.3.</p>
+<p>From trackpy version 0.3.0, the mass calculation is changed. Before
+version 0.3.0 the mass was calculated from a rescaled image. From version
+0.3.0, this rescaling is compensated at the end so that the mass reflects
+the actual intensities in the image.</p>
+<p>This function calculates the scalefactor between the old and new mass
+and applies it to calculate the new minmass filter value.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><dl class="simple">
+<dt><strong>raw_image</strong><span class="classifier">ndarray</span></dt><dd></dd>
+<dt><strong>old_minmass</strong><span class="classifier">number</span></dt><dd></dd>
+<dt><strong>preprocess</strong><span class="classifier">boolean, optional</span></dt><dd><p>Defaults to True</p>
+</dd>
+<dt><strong>invert</strong><span class="classifier">boolean, optional</span></dt><dd><p>Defaults to False</p>
+</dd>
+<dt><strong>noise_size</strong><span class="classifier">number, optional</span></dt><dd><p>Defaults to 1</p>
+</dd>
+<dt><strong>smoothing_size</strong><span class="classifier">number, optional</span></dt><dd><p>Required when preprocessing. In locate, it equals diameter by default.</p>
+</dd>
+<dt><strong>threshold</strong><span class="classifier">number, optional</span></dt><dd></dd>
+</dl>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><dl class="simple">
+<dt>New minmass</dt><dd></dd>
+</dl>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
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+      
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+  <a href="../_sources/generated/trackpy.minmass_v03_change.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
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+  </div>
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+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.minmass_v04_change.html b/trackpy/v0.6.2/generated/trackpy.minmass_v04_change.html
new file mode 100644
index 00000000..1961ebe7
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.minmass_v04_change.html
@@ -0,0 +1,198 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.minmass_v04_change &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
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+    <link rel="next" title="trackpy.utils.fit_powerlaw" href="trackpy.utils.fit_powerlaw.html" />
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+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
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+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
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+     id="dLabelLocalToc"
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+<li><a class="reference internal" href="#">trackpy.minmass_v04_change</a></li>
+</ul>
+</ul>
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+            
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+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-minmass-v04-change">
+<h1>trackpy.minmass_v04_change<a class="headerlink" href="#trackpy-minmass-v04-change" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.minmass_v04_change">
+<span class="sig-prename descclassname"><span class="pre">trackpy.</span></span><span class="sig-name descname"><span class="pre">minmass_v04_change</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">raw_image</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">old_minmass</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">diameter</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">preprocess</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">old_smoothing_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">new_smoothing_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.minmass_v04_change" title="Permalink to this definition">¶</a></dt>
+<dd><p>Convert minmass value from v0.3 to v0.4.</p>
+<p>From trackpy version 0.4.0, the default image preprocessing is changed.
+Before version 0.4.0 a blurred out image (rolling or boxcar average) with
+a circular kernel with radius <cite>diameter</cite> was subtracted from the image
+before refinement and mass calculation. From version 0.4.0, this has
+changed to a square kernel with sides <cite>diameter</cite>, more or less twice as
+small. This increases tracking accuracy, and reduces the mass.</p>
+<p>This function estimates this difference and applies it to calculate the
+new minmass value.</p>
+<p>Here the following approximate relation between the “real” mass of the
+feature and the mass apparent from the bandpassed image is used:</p>
+<div class="math notranslate nohighlight">
+\[M_{bp} = M_{real} \left( 1 - \frac{n_r}{n_{bp}} \right)\]</div>
+<p>Where <span class="math notranslate nohighlight">\(n_r\)</span> denotes the number of pixels in the (circular)
+refine mask and <span class="math notranslate nohighlight">\(n_{bp}\)</span> the number of pixels in the (square)
+rolling average kernel.</p>
+<p>This follows from a simple model where the bandpassed image <span class="math notranslate nohighlight">\(I_{bp}\)</span>
+relates to the “real” feature <span class="math notranslate nohighlight">\(F\)</span> and the noise <span class="math notranslate nohighlight">\(N\)</span> by:</p>
+<div class="math notranslate nohighlight">
+\[I_{bp} = F + N - \left(N + \frac{M_{real}}{n_{bp}} \right)\]</div>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><dl class="simple">
+<dt><strong>raw_image</strong><span class="classifier">ndarray</span></dt><dd></dd>
+<dt><strong>old_minmass</strong><span class="classifier">number</span></dt><dd></dd>
+<dt><strong>diameter</strong><span class="classifier">number or tuple</span></dt><dd><p>Odd-valued number that is used in locate</p>
+</dd>
+<dt><strong>preprocess</strong><span class="classifier">boolean, optional</span></dt><dd><p>Defaults to True. Minmass is not changed when preprocess=False.</p>
+</dd>
+<dt><strong>old_smoothing_size</strong><span class="classifier">number or tuple, optional</span></dt><dd><p>The smoothing size used in the old (pre v0.4) trackpy version (the
+radius of the circular kernel). Defaults to diameter.</p>
+</dd>
+<dt><strong>new_smoothing_size</strong><span class="classifier">number or tuple, optional</span></dt><dd><p>The smoothing size used in the new (post v0.4) trackpy version (the
+size of the sides of the square kernel). Defaults to diameter.</p>
+</dd>
+</dl>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><dl class="simple">
+<dt>New minmass</dt><dd></dd>
+</dl>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
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+    <p class="pull-right">
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+  <a href="../_sources/generated/trackpy.minmass_v04_change.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
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diff --git a/trackpy/v0.6.2/generated/trackpy.motion.compute_drift.html b/trackpy/v0.6.2/generated/trackpy.motion.compute_drift.html
new file mode 100644
index 00000000..7acf683e
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.motion.compute_drift.html
@@ -0,0 +1,182 @@
+<!DOCTYPE html>
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+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
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+      
+  <section id="trackpy-motion-compute-drift">
+<h1>trackpy.motion.compute_drift<a class="headerlink" href="#trackpy-motion-compute-drift" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.motion.compute_drift">
+<span class="sig-prename descclassname"><span class="pre">trackpy.motion.</span></span><span class="sig-name descname"><span class="pre">compute_drift</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">traj</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">smoothing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pos_columns</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.motion.compute_drift" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return the ensemble drift, xy(t).</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><dl class="simple">
+<dt><strong>traj</strong><span class="classifier">DataFrame</span></dt><dd><p>trajectories, including position columns, ‘frame’, and ‘particle’</p>
+</dd>
+<dt><strong>smoothing</strong><span class="classifier">integer, optional</span></dt><dd><p>Smooth the drift using a forward-looking rolling mean over
+this many frames. Default: 0.</p>
+</dd>
+<dt><strong>pos_columns</strong><span class="classifier">list, optional</span></dt><dd><p>The names of the position columns.
+Default [‘y’, ‘x’] or [‘z’, ‘y’, ‘x’] if ‘z’ is present in traj.</p>
+</dd>
+</dl>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><dl class="simple">
+<dt><strong>drift</strong><span class="classifier">DataFrame(pos_columns, index=frame)</span></dt><dd></dd>
+</dl>
+</dd>
+</dl>
+<p class="rubric">Examples</p>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">compute_drift</span><span class="p">(</span><span class="n">traj</span><span class="p">)</span><span class="o">.</span><span class="n">plot</span><span class="p">()</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">compute_drift</span><span class="p">(</span><span class="n">traj</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="p">[</span><span class="s1">&#39;x&#39;</span><span class="p">,</span> <span class="s1">&#39;y&#39;</span><span class="p">])</span><span class="o">.</span><span class="n">plot</span><span class="p">()</span> <span class="c1"># not smoothed, equivalent to default.</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">compute_drift</span><span class="p">(</span><span class="n">traj</span><span class="p">,</span> <span class="mi">15</span><span class="p">)</span><span class="o">.</span><span class="n">plot</span><span class="p">()</span> <span class="c1"># Try various smoothing values.</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">drift</span> <span class="o">=</span> <span class="n">compute_drift</span><span class="p">(</span><span class="n">traj</span><span class="p">,</span> <span class="mi">15</span><span class="p">)</span> <span class="c1"># Save good drift curves.</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">corrected_traj</span> <span class="o">=</span> <span class="n">subtract_drift</span><span class="p">(</span><span class="n">traj</span><span class="p">,</span> <span class="n">drift</span><span class="p">)</span> <span class="c1"># Apply them.</span>
+</pre></div>
+</div>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
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+  <a href="../_sources/generated/trackpy.motion.compute_drift.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
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diff --git a/trackpy/v0.6.2/generated/trackpy.motion.diagonal_size.html b/trackpy/v0.6.2/generated/trackpy.motion.diagonal_size.html
new file mode 100644
index 00000000..cd721791
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.motion.diagonal_size.html
@@ -0,0 +1,180 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
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+</ul>
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+  <section id="trackpy-motion-diagonal-size">
+<h1>trackpy.motion.diagonal_size<a class="headerlink" href="#trackpy-motion-diagonal-size" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.motion.diagonal_size">
+<span class="sig-prename descclassname"><span class="pre">trackpy.motion.</span></span><span class="sig-name descname"><span class="pre">diagonal_size</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">single_trajectory</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pos_columns</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_column</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'frame'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.motion.diagonal_size" title="Permalink to this definition">¶</a></dt>
+<dd><p>Measure the diagonal size of a trajectory.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><dl class="simple">
+<dt><strong>single_trajectory</strong><span class="classifier">DataFrame containing a single trajectory</span></dt><dd></dd>
+<dt><strong>pos_columns = list</strong></dt><dd><p>names of column with position [‘x’, ‘y’]</p>
+</dd>
+<dt><strong>t_column = ‘frame’</strong></dt><dd></dd>
+</dl>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><dl class="simple">
+<dt><strong>float</strong><span class="classifier">length of diangonal of rectangular box containing the trajectory</span></dt><dd></dd>
+</dl>
+</dd>
+</dl>
+<p class="rubric">Examples</p>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">diagonal_size</span><span class="p">(</span><span class="n">single_trajectory</span><span class="p">)</span>
+</pre></div>
+</div>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">many_trajectories</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s1">&#39;particle&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">agg</span><span class="p">(</span><span class="n">tp</span><span class="o">.</span><span class="n">diagonal_size</span><span class="p">)</span>
+</pre></div>
+</div>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">many_trajectories</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s1">&#39;particle&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">filter</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">tp</span><span class="o">.</span><span class="n">diagonal_size</span><span class="p">(</span><span class="n">x</span><span class="p">)</span> <span class="o">&gt;</span> <span class="mi">5</span><span class="p">)</span>
+</pre></div>
+</div>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
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+    <p class="pull-right">
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+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.motion.diagonal_size.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
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\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.motion.direction_corr.html b/trackpy/v0.6.2/generated/trackpy.motion.direction_corr.html
new file mode 100644
index 00000000..11fce532
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.motion.direction_corr.html
@@ -0,0 +1,170 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.motion.direction_corr &#8212; trackpy 0.6.2 documentation</title>
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+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
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+     id="dLabelLocalToc"
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+ <div class="form-group">
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+  <input type="hidden" name="area" value="default" />
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+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-motion-direction-corr">
+<h1>trackpy.motion.direction_corr<a class="headerlink" href="#trackpy-motion-direction-corr" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.motion.direction_corr">
+<span class="sig-prename descclassname"><span class="pre">trackpy.motion.</span></span><span class="sig-name descname"><span class="pre">direction_corr</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">t</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">frame1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">frame2</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.motion.direction_corr" title="Permalink to this definition">¶</a></dt>
+<dd><p>Compute the cosine between every pair of particles’ displacements.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><dl class="simple">
+<dt><strong>t</strong><span class="classifier">DataFrame</span></dt><dd><p>trajectories, containing columns particle, frame, x, and y</p>
+</dd>
+<dt><strong>frame1</strong><span class="classifier">frame number</span></dt><dd></dd>
+<dt><strong>frame2</strong><span class="classifier">frame number</span></dt><dd></dd>
+</dl>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><dl class="simple">
+<dt>DataFrame for all particle pairs, including dx, dy, and direction</dt><dd></dd>
+</dl>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.motion.direction_corr.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
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+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.motion.emsd.html b/trackpy/v0.6.2/generated/trackpy.motion.emsd.html
new file mode 100644
index 00000000..6f3cc357
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.motion.emsd.html
@@ -0,0 +1,177 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.motion.emsd &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
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+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
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+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+    <link rel="next" title="trackpy.motion.compute_drift" href="trackpy.motion.compute_drift.html" />
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+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
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+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
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+
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+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
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+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
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+<li><a class="reference internal" href="#">trackpy.motion.emsd</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
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+<div class="container">
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+      
+  <section id="trackpy-motion-emsd">
+<h1>trackpy.motion.emsd<a class="headerlink" href="#trackpy-motion-emsd" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.motion.emsd">
+<span class="sig-prename descclassname"><span class="pre">trackpy.motion.</span></span><span class="sig-name descname"><span class="pre">emsd</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">traj</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mpp</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fps</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_lagtime</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">detail</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pos_columns</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.motion.emsd" title="Permalink to this definition">¶</a></dt>
+<dd><p>Compute the ensemble mean squared displacements of many particles.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><dl class="simple">
+<dt><strong>traj</strong><span class="classifier">DataFrame of trajectories of multiple particles, including</span></dt><dd><p>columns particle, frame, x, and y</p>
+</dd>
+<dt><strong>mpp</strong><span class="classifier">microns per pixel</span></dt><dd></dd>
+<dt><strong>fps</strong><span class="classifier">frames per second</span></dt><dd></dd>
+<dt><strong>max_lagtime</strong><span class="classifier">intervals of frames out to which MSD is computed</span></dt><dd><p>Default: 100</p>
+</dd>
+<dt><strong>detail</strong><span class="classifier">Set to True to include &lt;x&gt;, &lt;y&gt;, &lt;x^2&gt;, &lt;y^2&gt;. Returns</span></dt><dd><p>only &lt;r^2&gt; by default.</p>
+</dd>
+</dl>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><dl class="simple">
+<dt>Series[msd, index=t] or, if detail=True,</dt><dd></dd>
+<dt>DataFrame([&lt;x&gt;, &lt;y&gt;, &lt;x^2&gt;, &lt;y^2&gt;, msd], index=t)</dt><dd></dd>
+</dl>
+</dd>
+</dl>
+<p class="rubric">Notes</p>
+<p>Input units are pixels and frames. Output units are microns and seconds.</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
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+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.motion.emsd.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
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+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.motion.html b/trackpy/v0.6.2/generated/trackpy.motion.html
new file mode 100644
index 00000000..dcb520c5
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.motion.html
@@ -0,0 +1,205 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.motion &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
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+      
+  <section id="module-trackpy.motion">
+<span id="trackpy-motion"></span><h1>trackpy.motion<a class="headerlink" href="#module-trackpy.motion" title="Permalink to this heading">¶</a></h1>
+<p class="rubric">Functions</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="trackpy.motion.compute_drift.html#trackpy.motion.compute_drift" title="trackpy.motion.compute_drift"><code class="xref py py-obj docutils literal notranslate"><span class="pre">compute_drift</span></code></a>(traj[, smoothing, pos_columns])</p></td>
+<td><p>Return the ensemble drift, xy(t).</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="trackpy.motion.diagonal_size.html#trackpy.motion.diagonal_size" title="trackpy.motion.diagonal_size"><code class="xref py py-obj docutils literal notranslate"><span class="pre">diagonal_size</span></code></a>(single_trajectory[, ...])</p></td>
+<td><p>Measure the diagonal size of a trajectory.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="trackpy.motion.direction_corr.html#trackpy.motion.direction_corr" title="trackpy.motion.direction_corr"><code class="xref py py-obj docutils literal notranslate"><span class="pre">direction_corr</span></code></a>(t, frame1, frame2)</p></td>
+<td><p>Compute the cosine between every pair of particles' displacements.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="trackpy.motion.emsd.html#trackpy.motion.emsd" title="trackpy.motion.emsd"><code class="xref py py-obj docutils literal notranslate"><span class="pre">emsd</span></code></a>(traj, mpp, fps[, max_lagtime, detail, ...])</p></td>
+<td><p>Compute the ensemble mean squared displacements of many particles.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="trackpy.motion.imsd.html#trackpy.motion.imsd" title="trackpy.motion.imsd"><code class="xref py py-obj docutils literal notranslate"><span class="pre">imsd</span></code></a>(traj, mpp, fps[, max_lagtime, ...])</p></td>
+<td><p>Compute the mean squared displacement of each particle.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_diffusive</span></code>(traj[, threshold])</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_localized</span></code>(traj[, threshold])</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="trackpy.motion.is_typical.html#trackpy.motion.is_typical" title="trackpy.motion.is_typical"><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_typical</span></code></a>(msds, frame[, lower, upper])</p></td>
+<td><p>Identify which paritcles' MSDs are in the central quantile.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="trackpy.motion.min_rolling_theta_entropy.html#trackpy.motion.min_rolling_theta_entropy" title="trackpy.motion.min_rolling_theta_entropy"><code class="xref py py-obj docutils literal notranslate"><span class="pre">min_rolling_theta_entropy</span></code></a>(pos[, window, bins])</p></td>
+<td><p>Compute the minimum Shannon entropy in any window.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="trackpy.motion.msd.html#trackpy.motion.msd" title="trackpy.motion.msd"><code class="xref py py-obj docutils literal notranslate"><span class="pre">msd</span></code></a>(traj, mpp, fps[, max_lagtime, detail, ...])</p></td>
+<td><p>Compute the mean displacement and mean squared displacement of one trajectory over a range of time intervals.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">proximity</span></code>(*args, **kwargs)</p></td>
+<td><p>Deprecated</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="trackpy.motion.relate_frames.html#trackpy.motion.relate_frames" title="trackpy.motion.relate_frames"><code class="xref py py-obj docutils literal notranslate"><span class="pre">relate_frames</span></code></a>(t, frame1, frame2[, pos_columns])</p></td>
+<td><p>Find the displacement vector of all particles between two frames.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">shannon_entropy</span></code>(x, bins)</p></td>
+<td><p>Compute the Shannon entropy of the distribution of x.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="trackpy.motion.subtract_drift.html#trackpy.motion.subtract_drift" title="trackpy.motion.subtract_drift"><code class="xref py py-obj docutils literal notranslate"><span class="pre">subtract_drift</span></code></a>(traj[, drift, inplace])</p></td>
+<td><p>Return a copy of particle trajectories with the overall drift subtracted out.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="trackpy.motion.theta_entropy.html#trackpy.motion.theta_entropy" title="trackpy.motion.theta_entropy"><code class="xref py py-obj docutils literal notranslate"><span class="pre">theta_entropy</span></code></a>(pos[, bins, plot])</p></td>
+<td><p>Plot the distribution of directions and return its Shannon entropy.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="trackpy.motion.vanhove.html#trackpy.motion.vanhove" title="trackpy.motion.vanhove"><code class="xref py py-obj docutils literal notranslate"><span class="pre">vanhove</span></code></a>(pos, lagtime[, mpp, ensemble, bins])</p></td>
+<td><p>Compute the van Hove correlation (histogram of displacements).</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="trackpy.motion.velocity_corr.html#trackpy.motion.velocity_corr" title="trackpy.motion.velocity_corr"><code class="xref py py-obj docutils literal notranslate"><span class="pre">velocity_corr</span></code></a>(t, frame1, frame2)</p></td>
+<td><p>Compute the velocity correlation between every pair of particles' displacements.</p></td>
+</tr>
+</tbody>
+</table>
+</section>
+
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new file mode 100644
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+  <section id="trackpy-motion-imsd">
+<h1>trackpy.motion.imsd<a class="headerlink" href="#trackpy-motion-imsd" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.motion.imsd">
+<span class="sig-prename descclassname"><span class="pre">trackpy.motion.</span></span><span class="sig-name descname"><span class="pre">imsd</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">traj</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mpp</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fps</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_lagtime</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">statistic</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'msd'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pos_columns</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.motion.imsd" title="Permalink to this definition">¶</a></dt>
+<dd><p>Compute the mean squared displacement of each particle.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><dl class="simple">
+<dt><strong>traj</strong><span class="classifier">DataFrame of trajectories of multiple particles, including</span></dt><dd><p>columns particle, frame, x, and y</p>
+</dd>
+<dt><strong>mpp</strong><span class="classifier">microns per pixel</span></dt><dd></dd>
+<dt><strong>fps</strong><span class="classifier">frames per second</span></dt><dd></dd>
+<dt><strong>max_lagtime</strong><span class="classifier">intervals of frames out to which MSD is computed</span></dt><dd><p>Default: 100</p>
+</dd>
+<dt><strong>statistic</strong><span class="classifier">{‘msd’, ‘&lt;x&gt;’, ‘&lt;y&gt;’, ‘&lt;x^2&gt;’, ‘&lt;y^2&gt;’}, default is ‘msd’</span></dt><dd><p>The functions msd() and emsd() return all these as columns. For
+imsd() you have to pick one.</p>
+</dd>
+</dl>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><dl class="simple">
+<dt>DataFrame([Probe 1 msd, Probe 2 msd, …], index=t)</dt><dd></dd>
+</dl>
+</dd>
+</dl>
+<p class="rubric">Notes</p>
+<p>Input units are pixels and frames. Output units are microns and seconds.</p>
+</dd></dl>
+
+</section>
+
+
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+      
+  <section id="trackpy-motion-is-typical">
+<h1>trackpy.motion.is_typical<a class="headerlink" href="#trackpy-motion-is-typical" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.motion.is_typical">
+<span class="sig-prename descclassname"><span class="pre">trackpy.motion.</span></span><span class="sig-name descname"><span class="pre">is_typical</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">msds</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">frame</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lower</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">upper</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.9</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.motion.is_typical" title="Permalink to this definition">¶</a></dt>
+<dd><p>Identify which paritcles’ MSDs are in the central quantile.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><dl class="simple">
+<dt><strong>msds</strong><span class="classifier">DataFrame</span></dt><dd><p>This should be organized like the output of imsd().
+Columns correspond to particles, indexed by lagtime in frames.</p>
+</dd>
+<dt><strong>frame</strong><span class="classifier">integer</span></dt><dd><p>Compare MSDs at this lag interval.</p>
+</dd>
+<dt><strong>lower</strong><span class="classifier">float between 0 and 1, default 0.1</span></dt><dd><p>Probes with MSD up to this quantile are deemed outliers.</p>
+</dd>
+<dt><strong>upper</strong><span class="classifier">float between 0 and 1, default 0.9</span></dt><dd><p>Probes with MSD above this quantile are deemed outliers.</p>
+</dd>
+</dl>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><dl class="simple">
+<dt>Series of boolean values, indexed by particle number</dt><dd></dd>
+<dt>True = typical particle, False = outlier particle</dt><dd></dd>
+</dl>
+</dd>
+</dl>
+<p class="rubric">Examples</p>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">m</span> <span class="o">=</span> <span class="n">tp</span><span class="o">.</span><span class="n">imsd</span><span class="p">(</span><span class="n">traj</span><span class="p">,</span> <span class="n">MPP</span><span class="p">,</span> <span class="n">FPS</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="c1"># Index by particle ID, slice using boolean output from is_typical(), and then</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="c1"># restore the original index, frame number.</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">typical_traj</span> <span class="o">=</span> <span class="n">traj</span><span class="o">.</span><span class="n">set_index</span><span class="p">(</span><span class="s1">&#39;particle&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">ix</span><span class="p">[</span><span class="n">is_typical</span><span class="p">(</span><span class="n">m</span><span class="p">)]</span>    <span class="o">.</span><span class="n">reset_index</span><span class="p">()</span><span class="o">.</span><span class="n">set_index</span><span class="p">(</span><span class="s1">&#39;frame&#39;</span><span class="p">,</span> <span class="n">drop</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
+</pre></div>
+</div>
+</dd></dl>
+
+</section>
+
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diff --git a/trackpy/v0.6.2/generated/trackpy.motion.min_rolling_theta_entropy.html b/trackpy/v0.6.2/generated/trackpy.motion.min_rolling_theta_entropy.html
new file mode 100644
index 00000000..c329dc96
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.motion.min_rolling_theta_entropy.html
@@ -0,0 +1,177 @@
+<!DOCTYPE html>
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+  <section id="trackpy-motion-min-rolling-theta-entropy">
+<h1>trackpy.motion.min_rolling_theta_entropy<a class="headerlink" href="#trackpy-motion-min-rolling-theta-entropy" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.motion.min_rolling_theta_entropy">
+<span class="sig-prename descclassname"><span class="pre">trackpy.motion.</span></span><span class="sig-name descname"><span class="pre">min_rolling_theta_entropy</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">pos</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">window</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">24</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bins</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">24</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.motion.min_rolling_theta_entropy" title="Permalink to this definition">¶</a></dt>
+<dd><p>Compute the minimum Shannon entropy in any window.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><dl class="simple">
+<dt><strong>pos</strong><span class="classifier">DataFrame with columns x and y, indexed by frame</span></dt><dd></dd>
+<dt><strong>window</strong><span class="classifier">number of observations per window</span></dt><dd></dd>
+<dt><strong>bins</strong><span class="classifier">number of equally-spaced bins in distribution. Default 24.</span></dt><dd></dd>
+</dl>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><dl class="simple">
+<dt><strong>float</strong><span class="classifier">Shannon entropy</span></dt><dd></dd>
+</dl>
+</dd>
+</dl>
+<p class="rubric">Examples</p>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">theta_entropy</span><span class="p">(</span><span class="n">t</span><span class="p">[</span><span class="n">t</span><span class="p">[</span><span class="s1">&#39;particle&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="mi">3</span><span class="p">]</span><span class="o">.</span><span class="n">set_index</span><span class="p">(</span><span class="s1">&#39;frame&#39;</span><span class="p">))</span>
+</pre></div>
+</div>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">S</span> <span class="o">=</span> <span class="n">t</span><span class="o">.</span><span class="n">set_index</span><span class="p">(</span><span class="s1">&#39;frame&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s1">&#39;particle&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span>
+<span class="gp">... </span>    <span class="n">tp</span><span class="o">.</span><span class="n">min_rolling_theta_entropy</span><span class="p">)</span>
+</pre></div>
+</div>
+</dd></dl>
+
+</section>
+
+
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+      
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+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
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\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.motion.msd.html b/trackpy/v0.6.2/generated/trackpy.motion.msd.html
new file mode 100644
index 00000000..1404be1a
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.motion.msd.html
@@ -0,0 +1,185 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.motion.msd &#8212; trackpy 0.6.2 documentation</title>
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+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.motion.msd</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
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+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-motion-msd">
+<h1>trackpy.motion.msd<a class="headerlink" href="#trackpy-motion-msd" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.motion.msd">
+<span class="sig-prename descclassname"><span class="pre">trackpy.motion.</span></span><span class="sig-name descname"><span class="pre">msd</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">traj</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mpp</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fps</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_lagtime</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">detail</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pos_columns</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.motion.msd" title="Permalink to this definition">¶</a></dt>
+<dd><p>Compute the mean displacement and mean squared displacement of one
+trajectory over a range of time intervals.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><dl class="simple">
+<dt><strong>traj</strong><span class="classifier">DataFrame with one trajectory, including columns frame, x, and y</span></dt><dd></dd>
+<dt><strong>mpp</strong><span class="classifier">microns per pixel</span></dt><dd></dd>
+<dt><strong>fps</strong><span class="classifier">frames per second</span></dt><dd></dd>
+<dt><strong>max_lagtime</strong><span class="classifier">intervals of frames out to which MSD is computed</span></dt><dd><p>Default: 100</p>
+</dd>
+<dt><strong>detail</strong><span class="classifier">See below. Default False.</span></dt><dd></dd>
+</dl>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><dl class="simple">
+<dt>DataFrame([&lt;x&gt;, &lt;y&gt;, &lt;x^2&gt;, &lt;y^2&gt;, msd], index=t)</dt><dd><p>If detail is True, the DataFrame also contains a column N,
+the estimated number of statistically independent measurements
+that comprise the result at each lagtime.</p>
+</dd>
+</dl>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<dl class="simple">
+<dt><a class="reference internal" href="trackpy.motion.imsd.html#trackpy.motion.imsd" title="trackpy.motion.imsd"><code class="xref py py-obj docutils literal notranslate"><span class="pre">imsd</span></code></a></dt><dd></dd>
+<dt><a class="reference internal" href="trackpy.motion.emsd.html#trackpy.motion.emsd" title="trackpy.motion.emsd"><code class="xref py py-obj docutils literal notranslate"><span class="pre">emsd</span></code></a></dt><dd></dd>
+</dl>
+</div>
+<p class="rubric">Notes</p>
+<p>Input units are pixels and frames. Output units are microns and seconds.</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
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+  <a href="../_sources/generated/trackpy.motion.msd.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.motion.relate_frames.html b/trackpy/v0.6.2/generated/trackpy.motion.relate_frames.html
new file mode 100644
index 00000000..96bab548
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.motion.relate_frames.html
@@ -0,0 +1,178 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.motion.relate_frames &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
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+    <link rel="next" title="trackpy.motion.velocity_corr" href="trackpy.motion.velocity_corr.html" />
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+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
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+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
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+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.motion.relate_frames</a></li>
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+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-motion-relate-frames">
+<h1>trackpy.motion.relate_frames<a class="headerlink" href="#trackpy-motion-relate-frames" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.motion.relate_frames">
+<span class="sig-prename descclassname"><span class="pre">trackpy.motion.</span></span><span class="sig-name descname"><span class="pre">relate_frames</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">t</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">frame1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">frame2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pos_columns</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.motion.relate_frames" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find the displacement vector of all particles between two frames.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><dl class="simple">
+<dt><strong>t</strong><span class="classifier">DataFrame</span></dt><dd><p>trajectories</p>
+</dd>
+<dt><strong>pos_columns = list</strong></dt><dd><p>names of column with position [‘x’, ‘y’]</p>
+</dd>
+<dt><strong>frame1</strong><span class="classifier">integer</span></dt><dd></dd>
+<dt><strong>frame2</strong><span class="classifier">integer</span></dt><dd></dd>
+</dl>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><dl class="simple">
+<dt>DataFrame</dt><dd><p>indexed by particle, containing:
+x, y, etc. (corresponding to frame1)
+x_b, y_b, etc. (corresponding to frame2)
+dx, dy, etc.
+dr
+direction (only if pos_columns=[‘x’, ‘y’])</p>
+</dd>
+</dl>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
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+  <a href="../_sources/generated/trackpy.motion.relate_frames.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
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+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.motion.subtract_drift.html b/trackpy/v0.6.2/generated/trackpy.motion.subtract_drift.html
new file mode 100644
index 00000000..2e7f5dab
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.motion.subtract_drift.html
@@ -0,0 +1,171 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.motion.subtract_drift &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
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+    <link rel="next" title="trackpy.motion.vanhove" href="trackpy.motion.vanhove.html" />
+    <link rel="prev" title="trackpy.motion.compute_drift" href="trackpy.motion.compute_drift.html" />
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+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
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+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
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+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.motion.subtract_drift</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
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+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-motion-subtract-drift">
+<h1>trackpy.motion.subtract_drift<a class="headerlink" href="#trackpy-motion-subtract-drift" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.motion.subtract_drift">
+<span class="sig-prename descclassname"><span class="pre">trackpy.motion.</span></span><span class="sig-name descname"><span class="pre">subtract_drift</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">traj</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drift</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">inplace</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.motion.subtract_drift" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a copy of particle trajectories with the overall drift subtracted
+out.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><dl class="simple">
+<dt><strong>traj</strong><span class="classifier">DataFrame of trajectories, including columns x, y, frame,</span></dt><dd><p>and particle (if there is more than one particle).</p>
+</dd>
+<dt><strong>drift</strong><span class="classifier">optional DataFrame([x, y], index=frame) like output of</span></dt><dd><p>compute_drift(). If no drift is passed, drift is computed from traj.</p>
+</dd>
+</dl>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><dl class="simple">
+<dt><strong>traj</strong><span class="classifier">a copy, having modified columns x and y</span></dt><dd></dd>
+</dl>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.motion.subtract_drift.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
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new file mode 100644
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+  <section id="trackpy-motion-theta-entropy">
+<h1>trackpy.motion.theta_entropy<a class="headerlink" href="#trackpy-motion-theta-entropy" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.motion.theta_entropy">
+<span class="sig-prename descclassname"><span class="pre">trackpy.motion.</span></span><span class="sig-name descname"><span class="pre">theta_entropy</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">pos</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bins</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">24</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plot</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.motion.theta_entropy" title="Permalink to this definition">¶</a></dt>
+<dd><p>Plot the distribution of directions and return its Shannon entropy.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><dl class="simple">
+<dt><strong>pos</strong><span class="classifier">DataFrame with columns x and y, indexed by frame</span></dt><dd></dd>
+<dt><strong>bins</strong><span class="classifier">number of equally-spaced bins in distribution. Default 24.</span></dt><dd></dd>
+<dt><strong>plot</strong><span class="classifier">plot direction histogram if True</span></dt><dd></dd>
+</dl>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><dl class="simple">
+<dt><strong>float</strong><span class="classifier">Shannon entropy</span></dt><dd></dd>
+</dl>
+</dd>
+</dl>
+<p class="rubric">Examples</p>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">theta_entropy</span><span class="p">(</span><span class="n">t</span><span class="p">[</span><span class="n">t</span><span class="p">[</span><span class="s1">&#39;particle&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="mi">3</span><span class="p">]</span><span class="o">.</span><span class="n">set_index</span><span class="p">(</span><span class="s1">&#39;frame&#39;</span><span class="p">))</span>
+</pre></div>
+</div>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">S</span> <span class="o">=</span> <span class="n">t</span><span class="o">.</span><span class="n">set_index</span><span class="p">(</span><span class="s1">&#39;frame&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s1">&#39;particle&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="n">tp</span><span class="o">.</span><span class="n">theta_entropy</span><span class="p">)</span>
+</pre></div>
+</div>
+</dd></dl>
+
+</section>
+
+
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+      
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diff --git a/trackpy/v0.6.2/generated/trackpy.motion.vanhove.html b/trackpy/v0.6.2/generated/trackpy.motion.vanhove.html
new file mode 100644
index 00000000..8e974653
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.motion.vanhove.html
@@ -0,0 +1,187 @@
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+      
+  <section id="trackpy-motion-vanhove">
+<h1>trackpy.motion.vanhove<a class="headerlink" href="#trackpy-motion-vanhove" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.motion.vanhove">
+<span class="sig-prename descclassname"><span class="pre">trackpy.motion.</span></span><span class="sig-name descname"><span class="pre">vanhove</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">pos</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lagtime</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mpp</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ensemble</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bins</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">24</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.motion.vanhove" title="Permalink to this definition">¶</a></dt>
+<dd><p>Compute the van Hove correlation (histogram of displacements).</p>
+<p>The van Hove correlation function is simply a histogram of particle
+displacements. It is useful for detecting physical heterogeneity
+(or tracking errors).</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><dl class="simple">
+<dt><strong>pos</strong><span class="classifier">DataFrame</span></dt><dd><p>x or (or!) y positions, one column per particle, indexed by frame</p>
+</dd>
+<dt><strong>lagtime</strong><span class="classifier">integer interval of frames</span></dt><dd><p>Compare the correlation function at this lagtime.</p>
+</dd>
+<dt><strong>mpp</strong><span class="classifier">microns per pixel, DEFAULT TO 1 because it is usually fine to use</span></dt><dd><p>pixels for this analysis</p>
+</dd>
+<dt><strong>ensemble</strong><span class="classifier">boolean, defaults False</span></dt><dd></dd>
+<dt><strong>bins</strong><span class="classifier">integer or sequence</span></dt><dd><p>Specify a number of equally spaced bins, or explicitly specifiy a
+sequence of bin edges. See np.histogram docs.</p>
+</dd>
+</dl>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><dl class="simple">
+<dt><strong>vh</strong><span class="classifier">DataFrame or Series</span></dt><dd><p>If ensemble=True, a DataFrame with each particle’s van Hove correlation
+function, indexed by displacement. If ensemble=False, a Series with
+the van Hove correlation function of the whole ensemble.</p>
+</dd>
+</dl>
+</dd>
+</dl>
+<p class="rubric">Examples</p>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">pos</span> <span class="o">=</span> <span class="n">traj</span><span class="o">.</span><span class="n">set_index</span><span class="p">([</span><span class="s1">&#39;frame&#39;</span><span class="p">,</span> <span class="s1">&#39;particle&#39;</span><span class="p">])[</span><span class="s1">&#39;x&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">unstack</span><span class="p">()</span> <span class="c1"># particles as columns</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">vh</span> <span class="o">=</span> <span class="n">vanhove</span><span class="p">(</span><span class="n">pos</span><span class="p">)</span>
+</pre></div>
+</div>
+</dd></dl>
+
+</section>
+
+
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+      
+  </div>
+</div>
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+  <div class="container">
+    <p class="pull-right">
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+      
+        <br/>
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+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.motion.vanhove.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
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\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.motion.velocity_corr.html b/trackpy/v0.6.2/generated/trackpy.motion.velocity_corr.html
new file mode 100644
index 00000000..844f41ed
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.motion.velocity_corr.html
@@ -0,0 +1,171 @@
+<!DOCTYPE html>
+
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+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
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+     id="dLabelLocalToc"
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+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.motion.velocity_corr</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
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+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-motion-velocity-corr">
+<h1>trackpy.motion.velocity_corr<a class="headerlink" href="#trackpy-motion-velocity-corr" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.motion.velocity_corr">
+<span class="sig-prename descclassname"><span class="pre">trackpy.motion.</span></span><span class="sig-name descname"><span class="pre">velocity_corr</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">t</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">frame1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">frame2</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.motion.velocity_corr" title="Permalink to this definition">¶</a></dt>
+<dd><p>Compute the velocity correlation between
+every pair of particles’ displacements.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><dl class="simple">
+<dt><strong>t</strong><span class="classifier">DataFrame</span></dt><dd><p>trajectories, containing columns particle, frame, x, and y</p>
+</dd>
+<dt><strong>frame1</strong><span class="classifier">frame number</span></dt><dd></dd>
+<dt><strong>frame2</strong><span class="classifier">frame number</span></dt><dd></dd>
+</dl>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><dl class="simple">
+<dt>DataFrame, indexed by particle, including dx, dy, and direction</dt><dd></dd>
+</dl>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.motion.velocity_corr.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
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+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.plot_density_profile.html b/trackpy/v0.6.2/generated/trackpy.plot_density_profile.html
new file mode 100644
index 00000000..f5c3e520
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.plot_density_profile.html
@@ -0,0 +1,183 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.plot_density_profile &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
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+    <script src="../_static/jquery.js"></script>
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+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+    <link rel="next" title="trackpy.mass_ecc" href="trackpy.mass_ecc.html" />
+    <link rel="prev" title="trackpy.subpx_bias" href="trackpy.subpx_bias.html" />
+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
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+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
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+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
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+     id="dLabelLocalToc"
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+      role="menu"
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+<li><a class="reference internal" href="#">trackpy.plot_density_profile</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
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+          
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+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-plot-density-profile">
+<h1>trackpy.plot_density_profile<a class="headerlink" href="#trackpy-plot-density-profile" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.plot_density_profile">
+<span class="sig-prename descclassname"><span class="pre">trackpy.</span></span><span class="sig-name descname"><span class="pre">plot_density_profile</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">f</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">binsize</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">blocks</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mpp</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fps</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">normed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_column</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'frame'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pos_column</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'z'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ax</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.plot_density_profile" title="Permalink to this definition">¶</a></dt>
+<dd><p>Plot a histogram showing the density profile in one direction.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><dl class="simple">
+<dt><strong>f</strong><span class="classifier">DataFrame</span></dt><dd><p>positions, including columns ‘frame’ and ‘z’</p>
+</dd>
+<dt><strong>binsize</strong><span class="classifier">integer</span></dt><dd><p>histogram binsize, if mpp is set, this is in in units of microns</p>
+</dd>
+<dt><strong>blocks</strong><span class="classifier">integer, optional</span></dt><dd><p>number of density profiles to plot</p>
+</dd>
+<dt><strong>mpp</strong><span class="classifier">number, optional</span></dt><dd><p>microns per pixel</p>
+</dd>
+<dt><strong>fps</strong><span class="classifier">number, optional</span></dt><dd><p>frames per second</p>
+</dd>
+<dt><strong>normed</strong><span class="classifier">boolean</span></dt><dd><p>if true, the histogram is normalized</p>
+</dd>
+<dt><strong>t_column</strong><span class="classifier">string, default ‘frame’</span></dt><dd></dd>
+<dt><strong>pos_column</strong><span class="classifier">string, default ‘z’</span></dt><dd></dd>
+<dt><strong>ax</strong><span class="classifier">matplotlib axes (optional)</span></dt><dd></dd>
+</dl>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><dl class="simple">
+<dt>Axes object</dt><dd></dd>
+</dl>
+</dd>
+</dl>
+<p class="rubric">Notes</p>
+<p>Any other keyword arguments will pass through to matplotlib’s <cite>plot</cite>.</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.plot_density_profile.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.plot_displacements.html b/trackpy/v0.6.2/generated/trackpy.plot_displacements.html
new file mode 100644
index 00000000..31dbb2a9
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.plot_displacements.html
@@ -0,0 +1,175 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.plot_displacements &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
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+          trackpy</a>
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+            
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+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
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+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
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+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.plot_displacements</a></li>
+</ul>
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+              
+            
+            
+            
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+            
+          </ul>
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+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
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+<div class="container">
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+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-plot-displacements">
+<h1>trackpy.plot_displacements<a class="headerlink" href="#trackpy-plot-displacements" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.plot_displacements">
+<span class="sig-prename descclassname"><span class="pre">trackpy.</span></span><span class="sig-name descname"><span class="pre">plot_displacements</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">t</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">frame1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">frame2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scale</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ax</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pos_columns</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.plot_displacements" title="Permalink to this definition">¶</a></dt>
+<dd><p>Plot arrows showing particles displacements between two frames.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><dl class="simple">
+<dt><strong>t</strong><span class="classifier">DataFrame</span></dt><dd><p>trajectories, including columns ‘frame’ and ‘particle’</p>
+</dd>
+<dt><strong>frame1</strong><span class="classifier">integer</span></dt><dd><p>frame number</p>
+</dd>
+<dt><strong>frame2</strong><span class="classifier">integer</span></dt><dd><p>frame number</p>
+</dd>
+<dt><strong>scale</strong><span class="classifier">float</span></dt><dd><p>scale factor, if 1 (default) then arrow end is placed at particle
+destination; if any other number arrows are rescaled</p>
+</dd>
+<dt><strong>pos_columns</strong><span class="classifier">list of strings, optional</span></dt><dd><p>Dataframe column names for spatial coordinates. Default is [‘x’, ‘y’].</p>
+</dd>
+<dt><strong>ax</strong><span class="classifier">matplotlib axes (optional)</span></dt><dd></dd>
+</dl>
+</dd>
+</dl>
+<p class="rubric">Notes</p>
+<p>Any other keyword arguments will pass through to matplotlib’s <cite>annotate</cite>.</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.plot_displacements.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
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+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.plot_traj.html b/trackpy/v0.6.2/generated/trackpy.plot_traj.html
new file mode 100644
index 00000000..9c6669a9
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.plot_traj.html
@@ -0,0 +1,193 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.plot_traj &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
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+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
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+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
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+<li><a class="reference internal" href="#">trackpy.plot_traj</a></li>
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+<div class="container">
+  <div class="row">
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+      
+  <section id="trackpy-plot-traj">
+<h1>trackpy.plot_traj<a class="headerlink" href="#trackpy-plot-traj" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.plot_traj">
+<span class="sig-prename descclassname"><span class="pre">trackpy.</span></span><span class="sig-name descname"><span class="pre">plot_traj</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">traj</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">colorby</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'particle'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mpp</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">label</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">superimpose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cmap</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ax</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_column</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pos_columns</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plot_style</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.plot_traj" title="Permalink to this definition">¶</a></dt>
+<dd><p>Plot traces of trajectories for each particle.
+Optionally superimpose it on a frame from the video.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><dl class="simple">
+<dt><strong>traj</strong><span class="classifier">DataFrame</span></dt><dd><p>The DataFrame should include time and spatial coordinate columns.</p>
+</dd>
+<dt><strong>colorby</strong><span class="classifier">{‘particle’, ‘frame’}, optional</span></dt><dd></dd>
+<dt><strong>mpp</strong><span class="classifier">float, optional</span></dt><dd><p>Microns per pixel. If omitted, the labels will have units of pixels.</p>
+</dd>
+<dt><strong>label</strong><span class="classifier">boolean, optional</span></dt><dd><p>Set to True to write particle ID numbers next to trajectories.</p>
+</dd>
+<dt><strong>superimpose</strong><span class="classifier">ndarray, optional</span></dt><dd><p>Background image, default None</p>
+</dd>
+<dt><strong>cmap</strong><span class="classifier">colormap, optional</span></dt><dd><p>This is only used in colorby=’frame’ mode. Default = mpl.cm.winter</p>
+</dd>
+<dt><strong>ax</strong><span class="classifier">matplotlib axes object, optional</span></dt><dd><p>Defaults to current axes</p>
+</dd>
+<dt><strong>t_column</strong><span class="classifier">string, optional</span></dt><dd><p>DataFrame column name for time coordinate. Default is ‘frame’.</p>
+</dd>
+<dt><strong>pos_columns</strong><span class="classifier">list of strings, optional</span></dt><dd><p>Dataframe column names for spatial coordinates. Default is [‘x’, ‘y’].</p>
+</dd>
+<dt><strong>plot_style</strong><span class="classifier">dictionary</span></dt><dd><p>Keyword arguments passed through to the <cite>Axes.plot(…)</cite> command</p>
+</dd>
+</dl>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><dl class="simple">
+<dt>Axes object</dt><dd></dd>
+</dl>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<dl class="simple">
+<dt><a class="reference internal" href="trackpy.plot_traj3d.html#trackpy.plot_traj3d" title="trackpy.plot_traj3d"><code class="xref py py-obj docutils literal notranslate"><span class="pre">plot_traj3d</span></code></a></dt><dd><p>the 3D equivalent of <cite>plot_traj</cite></p>
+</dd>
+</dl>
+</div>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.plot_traj.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.plot_traj3d.html b/trackpy/v0.6.2/generated/trackpy.plot_traj3d.html
new file mode 100644
index 00000000..86f4a8a0
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.plot_traj3d.html
@@ -0,0 +1,191 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.plot_traj3d &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
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+    <link rel="next" title="trackpy.plot_displacements" href="trackpy.plot_displacements.html" />
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+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API reference</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
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+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.plot_traj3d</a></li>
+</ul>
+</ul>
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+              
+            
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+      
+  <section id="trackpy-plot-traj3d">
+<h1>trackpy.plot_traj3d<a class="headerlink" href="#trackpy-plot-traj3d" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.plot_traj3d">
+<span class="sig-prename descclassname"><span class="pre">trackpy.</span></span><span class="sig-name descname"><span class="pre">plot_traj3d</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.plot_traj3d" title="Permalink to this definition">¶</a></dt>
+<dd><p>The 3D equivalent of <cite>plot_traj</cite>.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><dl class="simple">
+<dt><strong>traj</strong><span class="classifier">DataFrame</span></dt><dd><p>The DataFrame should include time and spatial coordinate columns.</p>
+</dd>
+<dt><strong>mpp</strong><span class="classifier">float, optional</span></dt><dd><p>Microns per pixel. If omitted, the labels will have units of pixels.</p>
+</dd>
+<dt><strong>label</strong><span class="classifier">boolean, optional</span></dt><dd><p>Set to True to write particle ID numbers next to trajectories.</p>
+</dd>
+<dt><strong>superimpose</strong><span class="classifier">ndarray, optional</span></dt><dd><p>Background image, default None</p>
+</dd>
+<dt><strong>cmap</strong><span class="classifier">colormap, optional</span></dt><dd><p>This is only used in colorby=’frame’ mode. Default = mpl.cm.winter</p>
+</dd>
+<dt><strong>ax</strong><span class="classifier">matplotlib axes object, optional</span></dt><dd><p>Defaults to current axes</p>
+</dd>
+<dt><strong>t_column</strong><span class="classifier">string, optional</span></dt><dd><p>DataFrame column name for time coordinate. Default is ‘frame’.</p>
+</dd>
+<dt><strong>pos_columns</strong><span class="classifier">list of strings, optional</span></dt><dd><p>Dataframe column names for spatial coords. Default is [‘x’, ‘y’, ‘z’].</p>
+</dd>
+<dt><strong>plot_style</strong><span class="classifier">dictionary</span></dt><dd><p>Keyword arguments passed through to the <cite>Axes.plot(…)</cite> command</p>
+</dd>
+</dl>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><dl class="simple">
+<dt>Axes object</dt><dd></dd>
+</dl>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<dl class="simple">
+<dt><a class="reference internal" href="trackpy.plot_traj.html#trackpy.plot_traj" title="trackpy.plot_traj"><code class="xref py py-obj docutils literal notranslate"><span class="pre">plot_traj</span></code></a></dt><dd><p>plot 2D trajectories</p>
+</dd>
+</dl>
+</div>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
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+  <a href="../_sources/generated/trackpy.plot_traj3d.rst.txt"
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+      
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new file mode 100644
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+</ul>
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+      
+  <section id="module-trackpy.plots">
+<span id="trackpy-plots"></span><h1>trackpy.plots<a class="headerlink" href="#module-trackpy.plots" title="Permalink to this heading">¶</a></h1>
+<p>These functions generate handy plots.</p>
+<p class="rubric">Functions</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">annotate</span></code>(centroids, image[, circle_size, ...])</p></td>
+<td><p>Mark identified features with white circles.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">annotate3d</span></code>(centroids, image, **kwargs)</p></td>
+<td><p>Annotates a 3D image and returns a scrollable stack for display in IPython.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">examine_jumps</span></code>(data, jumps)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">fit</span></code>(data, fits[, inverted_model, logx, logy, ax])</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">invert_yaxis</span></code>(ax)</p></td>
+<td><p>Inverts the y-axis of an axis object.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">make_axes</span></code>(func)</p></td>
+<td><p>A decorator for plotting functions. NORMALLY: Direct the plotting function to the current axes, gca(). When it's done, make the legend and show that plot. (Instant gratificaiton!) The axes have to be 2d or else the           current figure will be cleared. BUT:      If the uses passes axes to plotting function, write on those axes           and return them. The user has the option to draw a more complex           plot in multiple steps.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">make_axes3d</span></code>(func)</p></td>
+<td><p>A decorator for plotting 3d functions. NORMALLY: Direct the plotting function to the current axes, gca(). When it's done, make the legend and show that plot. (Instant gratificaiton!) The axes have to be 3d or else the           current figure will be cleared. BUT:      If the uses passes axes to plotting function, write on those axes           and return them. The user has the option to draw a more complex           plot in multiple steps.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">make_fig</span></code>(func)</p></td>
+<td><p>See make_axes.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">mass_ecc</span></code>(f[, ax])</p></td>
+<td><p>Plot each particle's mass versus eccentricity.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">mass_size</span></code>(f[, ax])</p></td>
+<td><p>Plot each particle's mass versus size.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">plot_density_profile</span></code>(f, binsize[, blocks, ...])</p></td>
+<td><p>Plot a histogram showing the density profile in one direction.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">plot_displacements</span></code>(t, frame1, frame2[, ...])</p></td>
+<td><p>Plot arrows showing particles displacements between two frames.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">plot_principal_axes</span></code>(img, x_bar, y_bar, cov)</p></td>
+<td><p>Plot bars with a length of 2 stddev along the principal axes.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">plot_traj</span></code>(traj[, colorby, mpp, label, ...])</p></td>
+<td><p>Plot traces of trajectories for each particle.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">plot_traj3d</span></code>(*args, **kwargs)</p></td>
+<td><p>The 3D equivalent of <cite>plot_traj</cite>.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">ptraj</span></code>(traj[, colorby, mpp, label, ...])</p></td>
+<td><p>Plot traces of trajectories for each particle.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">ptraj3d</span></code>(*args, **kwargs)</p></td>
+<td><p>The 3D equivalent of <cite>plot_traj</cite>.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">scatter</span></code>(centroids[, mpp, cmap, ax, ...])</p></td>
+<td><p>Scatter plot of all particles.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">scatter3d</span></code>(*args, **kwargs)</p></td>
+<td><p>The 3D equivalent of <cite>scatter</cite>.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">subpx_bias</span></code>(f[, pos_columns])</p></td>
+<td><p>Histogram the fractional part of the x and y position.</p></td>
+</tr>
+</tbody>
+</table>
+</section>
+
+
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+      
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diff --git a/trackpy/v0.6.2/generated/trackpy.predict.ChannelPredict.html b/trackpy/v0.6.2/generated/trackpy.predict.ChannelPredict.html
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+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
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+  <section id="trackpy-predict-channelpredict">
+<h1>trackpy.predict.ChannelPredict<a class="headerlink" href="#trackpy-predict-channelpredict" title="Permalink to this heading">¶</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="trackpy.predict.ChannelPredict">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">trackpy.predict.</span></span><span class="sig-name descname"><span class="pre">ChannelPredict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bin_size</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">flow_axis</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'x'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">minsamples</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">20</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">initial_profile_guess</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pos_columns</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">span</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.predict.ChannelPredict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Predict a particle’s position based on its spanwise coordinate in a channel.</p>
+<p>This operates by binning particles according to their spanwise coordinate and
+averaging velocity, to make an instantaneous velocity profile.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><dl class="simple">
+<dt><strong>bin_size</strong><span class="classifier">Size of bins, in units of spanwise length, over which to average</span></dt><dd><p>streamwise velocity.</p>
+</dd>
+<dt><strong>flow_axis</strong><span class="classifier">Name of coordinate along which particles are flowing (default “x”)</span></dt><dd></dd>
+<dt><strong>minsamples</strong><span class="classifier">Minimum number of particles in a bin for its average</span></dt><dd><p>velocity to be valid.</p>
+</dd>
+<dt><strong>initial_profile_guess</strong><span class="classifier">Nx2 array (optional)</span></dt><dd><p>(spanwise coordinate, streamwise velocity) samples specifying
+initial velocity profile. Samples must be sufficiently dense to account
+for variation in the velocity profile. If omitted, initial velocities are
+assumed to be zero.</p>
+</dd>
+<dt><strong>pos_columns</strong><span class="classifier">list of d strings, optional</span></dt><dd><p>Names of coordinate columns. Required only if not using link_df or link_df_iter.</p>
+</dd>
+<dt><strong>span</strong><span class="classifier">integer, default 1</span></dt><dd><p>Compute velocity field from the most recent span+1 frames.</p>
+</dd>
+</dl>
+</dd>
+</dl>
+<p class="rubric">Notes</p>
+<ul class="simple">
+<li><p>This currently only works for 2D data.</p></li>
+<li><dl class="simple">
+<dt>Where there were not enough data to make an average velocity (N &lt; minsamples),</dt><dd><p>we borrow from the nearest valid bin.</p>
+</dd>
+</dl>
+</li>
+</ul>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
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+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.predict.ChannelPredict.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
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+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.predict.ChannelPredict.link_df.html b/trackpy/v0.6.2/generated/trackpy.predict.ChannelPredict.link_df.html
new file mode 100644
index 00000000..1cb52483
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.predict.ChannelPredict.link_df.html
@@ -0,0 +1,156 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.predict.ChannelPredict.link_df &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
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+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
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+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
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+     id="dLabelLocalToc"
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+      role="menu"
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+<li><a class="reference internal" href="#">trackpy.predict.ChannelPredict.link_df</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
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+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-predict-channelpredict-link-df">
+<h1>trackpy.predict.ChannelPredict.link_df<a class="headerlink" href="#trackpy-predict-channelpredict-link-df" title="Permalink to this heading">¶</a></h1>
+<dl class="py method">
+<dt class="sig sig-object py" id="trackpy.predict.ChannelPredict.link_df">
+<span class="sig-prename descclassname"><span class="pre">ChannelPredict.</span></span><span class="sig-name descname"><span class="pre">link_df</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kw</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.predict.ChannelPredict.link_df" title="Permalink to this definition">¶</a></dt>
+<dd><p>Wrapper for linking.link_df_iter() that causes it to use this predictor.</p>
+<p>As with linking.link_df(), the features data is a single DataFrame.</p>
+<p>Note that this does not wrap linking.link_df(), and does not accept the same
+options as that function. However in most cases it is functionally equivalent.</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.predict.ChannelPredict.link_df.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.predict.ChannelPredict.link_df_iter.html b/trackpy/v0.6.2/generated/trackpy.predict.ChannelPredict.link_df_iter.html
new file mode 100644
index 00000000..497316f0
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.predict.ChannelPredict.link_df_iter.html
@@ -0,0 +1,153 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.predict.ChannelPredict.link_df_iter &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
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+<meta charset='utf-8'>
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+          <span class="icon-bar"></span>
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+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
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+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
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+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul>
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
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+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.predict.ChannelPredict.link_df_iter</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
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+          </ul>
+
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+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
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+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-predict-channelpredict-link-df-iter">
+<h1>trackpy.predict.ChannelPredict.link_df_iter<a class="headerlink" href="#trackpy-predict-channelpredict-link-df-iter" title="Permalink to this heading">¶</a></h1>
+<dl class="py method">
+<dt class="sig sig-object py" id="trackpy.predict.ChannelPredict.link_df_iter">
+<span class="sig-prename descclassname"><span class="pre">ChannelPredict.</span></span><span class="sig-name descname"><span class="pre">link_df_iter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kw</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.predict.ChannelPredict.link_df_iter" title="Permalink to this definition">¶</a></dt>
+<dd><p>Wrapper for linking.link_df_iter() that causes it to use this predictor.</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.predict.ChannelPredict.link_df_iter.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.predict.ChannelPredict.observe.html b/trackpy/v0.6.2/generated/trackpy.predict.ChannelPredict.observe.html
new file mode 100644
index 00000000..255ae70e
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.predict.ChannelPredict.observe.html
@@ -0,0 +1,153 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.predict.ChannelPredict.observe &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
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+    <script src="../_static/jquery.js"></script>
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+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
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+
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+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
+            
+            
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+  <a role="button"
+     id="dLabelGlobalToc"
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+     data-target="#"
+     href="../index.html">Site <b class="caret"></b></a>
+  <ul class="dropdown-menu globaltoc"
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+      aria-labelledby="dLabelGlobalToc"><ul>
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../api.html">API reference</a></li>
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+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
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+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-predict-channelpredict-observe">
+<h1>trackpy.predict.ChannelPredict.observe<a class="headerlink" href="#trackpy-predict-channelpredict-observe" title="Permalink to this heading">¶</a></h1>
+<dl class="py method">
+<dt class="sig sig-object py" id="trackpy.predict.ChannelPredict.observe">
+<span class="sig-prename descclassname"><span class="pre">ChannelPredict.</span></span><span class="sig-name descname"><span class="pre">observe</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">frame</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.predict.ChannelPredict.observe" title="Permalink to this definition">¶</a></dt>
+<dd><p>Examine the latest output of the linker, to update our predictions.</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.predict.ChannelPredict.observe.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.predict.ChannelPredict.predict.html b/trackpy/v0.6.2/generated/trackpy.predict.ChannelPredict.predict.html
new file mode 100644
index 00000000..5deda54a
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.predict.ChannelPredict.predict.html
@@ -0,0 +1,153 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.predict.ChannelPredict.predict &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
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+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
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+<meta charset='utf-8'>
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+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
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+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.predict.ChannelPredict.predict</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
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+ </div>
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+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-predict-channelpredict-predict">
+<h1>trackpy.predict.ChannelPredict.predict<a class="headerlink" href="#trackpy-predict-channelpredict-predict" title="Permalink to this heading">¶</a></h1>
+<dl class="py method">
+<dt class="sig sig-object py" id="trackpy.predict.ChannelPredict.predict">
+<span class="sig-prename descclassname"><span class="pre">ChannelPredict.</span></span><span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">t1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">particles</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.predict.ChannelPredict.predict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Predict the positions of ‘particles’ at time ‘t1’</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.predict.ChannelPredict.predict.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.predict.ChannelPredict.state.html b/trackpy/v0.6.2/generated/trackpy.predict.ChannelPredict.state.html
new file mode 100644
index 00000000..7e8ef980
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.predict.ChannelPredict.state.html
@@ -0,0 +1,154 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.predict.ChannelPredict.state &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
+<meta name='viewport' content='width=device-width, initial-scale=1.0, maximum-scale=1'>
+<meta name="apple-mobile-web-app-capable" content="yes">
+<script type="text/javascript" src="../_static/js/jquery-1.12.4.min.js"></script>
+<script type="text/javascript" src="../_static/js/jquery-fix.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-3.4.1/js/bootstrap.min.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-sphinx.js"></script>
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+  <div id="navbar" class="navbar navbar-default navbar-fixed-top">
+    <div class="container">
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+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
+            
+            
+              <li class="dropdown globaltoc-container">
+  <a role="button"
+     id="dLabelGlobalToc"
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+     data-target="#"
+     href="../index.html">Site <b class="caret"></b></a>
+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul>
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.predict.ChannelPredict.state</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-predict-channelpredict-state">
+<h1>trackpy.predict.ChannelPredict.state<a class="headerlink" href="#trackpy-predict-channelpredict-state" title="Permalink to this heading">¶</a></h1>
+<dl class="py method">
+<dt class="sig sig-object py" id="trackpy.predict.ChannelPredict.state">
+<span class="sig-prename descclassname"><span class="pre">ChannelPredict.</span></span><span class="sig-name descname"><span class="pre">state</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.predict.ChannelPredict.state" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a representation of the predictor’s internal state.</p>
+<p>For diagnostic purposes.</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.predict.ChannelPredict.state.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.predict.ChannelPredict.wrap.html b/trackpy/v0.6.2/generated/trackpy.predict.ChannelPredict.wrap.html
new file mode 100644
index 00000000..76a8c195
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.predict.ChannelPredict.wrap.html
@@ -0,0 +1,157 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.predict.ChannelPredict.wrap &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
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+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
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+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
+<meta name='viewport' content='width=device-width, initial-scale=1.0, maximum-scale=1'>
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+<script type="text/javascript" src="../_static/bootstrap-3.4.1/js/bootstrap.min.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-sphinx.js"></script>
+
+  </head><body>
+
+  <div id="navbar" class="navbar navbar-default navbar-fixed-top">
+    <div class="container">
+      <div class="navbar-header">
+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
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+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
+            
+            
+              <li class="dropdown globaltoc-container">
+  <a role="button"
+     id="dLabelGlobalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="../index.html">Site <b class="caret"></b></a>
+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul>
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.predict.ChannelPredict.wrap</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-predict-channelpredict-wrap">
+<h1>trackpy.predict.ChannelPredict.wrap<a class="headerlink" href="#trackpy-predict-channelpredict-wrap" title="Permalink to this heading">¶</a></h1>
+<dl class="py method">
+<dt class="sig sig-object py" id="trackpy.predict.ChannelPredict.wrap">
+<span class="sig-prename descclassname"><span class="pre">ChannelPredict.</span></span><span class="sig-name descname"><span class="pre">wrap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">linking_fcn</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kw</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.predict.ChannelPredict.wrap" title="Permalink to this definition">¶</a></dt>
+<dd><p>Wrapper for an arbitrary linking function that causes it to use this predictor.</p>
+<p>The linking function must accept a ‘predictor’ keyword argument.</p>
+<p>The linking function must accept a ‘predictor’ keyword argument. It
+must return an iterator of DataFrames, emitting a DataFrame each time
+a frame is linked.</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.predict.ChannelPredict.wrap.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.predict.ChannelPredict.wrap_single.html b/trackpy/v0.6.2/generated/trackpy.predict.ChannelPredict.wrap_single.html
new file mode 100644
index 00000000..647366ed
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.predict.ChannelPredict.wrap_single.html
@@ -0,0 +1,160 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.predict.ChannelPredict.wrap_single &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
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+<script type="text/javascript" src="../_static/js/jquery-fix.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-3.4.1/js/bootstrap.min.js"></script>
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+
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+
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+    <div class="container">
+      <div class="navbar-header">
+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
+            
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+  <a role="button"
+     id="dLabelGlobalToc"
+     data-toggle="dropdown"
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+  <ul class="dropdown-menu globaltoc"
+      role="menu"
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+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.predict.ChannelPredict.wrap_single</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-predict-channelpredict-wrap-single">
+<h1>trackpy.predict.ChannelPredict.wrap_single<a class="headerlink" href="#trackpy-predict-channelpredict-wrap-single" title="Permalink to this heading">¶</a></h1>
+<dl class="py method">
+<dt class="sig sig-object py" id="trackpy.predict.ChannelPredict.wrap_single">
+<span class="sig-prename descclassname"><span class="pre">ChannelPredict.</span></span><span class="sig-name descname"><span class="pre">wrap_single</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">linking_fcn</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kw</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.predict.ChannelPredict.wrap_single" title="Permalink to this definition">¶</a></dt>
+<dd><p>Wrapper for an arbitrary linking function that causes it to use this predictor.</p>
+<p>This wrapper causes the linker to accept and return a single DataFrame
+with coordinates for all frames. Because it wraps functions that use
+iterators of DataFrames, it should not necessarily be considered a drop-in replacement
+for another single-DataFrame linking function.</p>
+<p>The linking function must accept a ‘predictor’ keyword argument. It
+must return an iterator of DataFrames, emitting a DataFrame each time
+a frame is linked.</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.predict.ChannelPredict.wrap_single.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.predict.DriftPredict.html b/trackpy/v0.6.2/generated/trackpy.predict.DriftPredict.html
new file mode 100644
index 00000000..e7a6aff4
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.predict.DriftPredict.html
@@ -0,0 +1,169 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.predict.DriftPredict &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+    <link rel="next" title="trackpy.predict.NearestVelocityPredict" href="trackpy.predict.NearestVelocityPredict.html" />
+    <link rel="prev" title="trackpy.predict.ChannelPredict" href="trackpy.predict.ChannelPredict.html" />
+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
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+<script type="text/javascript" src="../_static/bootstrap-3.4.1/js/bootstrap.min.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-sphinx.js"></script>
+
+  </head><body>
+
+  <div id="navbar" class="navbar navbar-default navbar-fixed-top">
+    <div class="container">
+      <div class="navbar-header">
+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
+            
+            
+              <li class="dropdown globaltoc-container">
+  <a role="button"
+     id="dLabelGlobalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="../index.html">Site <b class="caret"></b></a>
+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.predict.DriftPredict</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
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+  <input type="hidden" name="area" value="default" />
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+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-predict-driftpredict">
+<h1>trackpy.predict.DriftPredict<a class="headerlink" href="#trackpy-predict-driftpredict" title="Permalink to this heading">¶</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="trackpy.predict.DriftPredict">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">trackpy.predict.</span></span><span class="sig-name descname"><span class="pre">DriftPredict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">initial_guess</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pos_columns</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">span</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.predict.DriftPredict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Predict a particle’s position based on the mean velocity of all particles.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><dl class="simple">
+<dt><strong>initial_guess</strong><span class="classifier">Array of length d, optional</span></dt><dd><p>Velocity vector initially used for prediction.
+Default is to assume zero velocity.</p>
+</dd>
+<dt><strong>pos_columns</strong><span class="classifier">list of d strings, optional</span></dt><dd><p>Names of coordinate columns corresponding to the elements of
+initial_guess, e.g. [‘y’, ‘x’]. Required if a guess is specified.</p>
+</dd>
+<dt><strong>span</strong><span class="classifier">integer, default 1</span></dt><dd><p>Compute velocity field from the most recent span+1 frames.</p>
+</dd>
+</dl>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.predict.DriftPredict.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.predict.DriftPredict.link_df.html b/trackpy/v0.6.2/generated/trackpy.predict.DriftPredict.link_df.html
new file mode 100644
index 00000000..ef4cc75d
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.predict.DriftPredict.link_df.html
@@ -0,0 +1,156 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.predict.DriftPredict.link_df &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
+<meta name='viewport' content='width=device-width, initial-scale=1.0, maximum-scale=1'>
+<meta name="apple-mobile-web-app-capable" content="yes">
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+<script type="text/javascript" src="../_static/js/jquery-fix.js"></script>
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+<script type="text/javascript" src="../_static/bootstrap-sphinx.js"></script>
+
+  </head><body>
+
+  <div id="navbar" class="navbar navbar-default navbar-fixed-top">
+    <div class="container">
+      <div class="navbar-header">
+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
+            
+            
+              <li class="dropdown globaltoc-container">
+  <a role="button"
+     id="dLabelGlobalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="../index.html">Site <b class="caret"></b></a>
+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul>
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.predict.DriftPredict.link_df</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-predict-driftpredict-link-df">
+<h1>trackpy.predict.DriftPredict.link_df<a class="headerlink" href="#trackpy-predict-driftpredict-link-df" title="Permalink to this heading">¶</a></h1>
+<dl class="py method">
+<dt class="sig sig-object py" id="trackpy.predict.DriftPredict.link_df">
+<span class="sig-prename descclassname"><span class="pre">DriftPredict.</span></span><span class="sig-name descname"><span class="pre">link_df</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kw</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.predict.DriftPredict.link_df" title="Permalink to this definition">¶</a></dt>
+<dd><p>Wrapper for linking.link_df_iter() that causes it to use this predictor.</p>
+<p>As with linking.link_df(), the features data is a single DataFrame.</p>
+<p>Note that this does not wrap linking.link_df(), and does not accept the same
+options as that function. However in most cases it is functionally equivalent.</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.predict.DriftPredict.link_df.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.predict.DriftPredict.link_df_iter.html b/trackpy/v0.6.2/generated/trackpy.predict.DriftPredict.link_df_iter.html
new file mode 100644
index 00000000..11ac2461
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.predict.DriftPredict.link_df_iter.html
@@ -0,0 +1,153 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.predict.DriftPredict.link_df_iter &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
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+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
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+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
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+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
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+<script type="text/javascript" src="../_static/bootstrap-sphinx.js"></script>
+
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+    <div class="container">
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+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
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+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
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+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul>
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
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+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.predict.DriftPredict.link_df_iter</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
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+  <input type="hidden" name="area" value="default" />
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+          
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+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-predict-driftpredict-link-df-iter">
+<h1>trackpy.predict.DriftPredict.link_df_iter<a class="headerlink" href="#trackpy-predict-driftpredict-link-df-iter" title="Permalink to this heading">¶</a></h1>
+<dl class="py method">
+<dt class="sig sig-object py" id="trackpy.predict.DriftPredict.link_df_iter">
+<span class="sig-prename descclassname"><span class="pre">DriftPredict.</span></span><span class="sig-name descname"><span class="pre">link_df_iter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kw</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.predict.DriftPredict.link_df_iter" title="Permalink to this definition">¶</a></dt>
+<dd><p>Wrapper for linking.link_df_iter() that causes it to use this predictor.</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.predict.DriftPredict.link_df_iter.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.predict.DriftPredict.observe.html b/trackpy/v0.6.2/generated/trackpy.predict.DriftPredict.observe.html
new file mode 100644
index 00000000..ac1fef05
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.predict.DriftPredict.observe.html
@@ -0,0 +1,153 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.predict.DriftPredict.observe &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
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+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
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+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
+            
+            
+              <li class="dropdown globaltoc-container">
+  <a role="button"
+     id="dLabelGlobalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="../index.html">Site <b class="caret"></b></a>
+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul>
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.predict.DriftPredict.observe</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-predict-driftpredict-observe">
+<h1>trackpy.predict.DriftPredict.observe<a class="headerlink" href="#trackpy-predict-driftpredict-observe" title="Permalink to this heading">¶</a></h1>
+<dl class="py method">
+<dt class="sig sig-object py" id="trackpy.predict.DriftPredict.observe">
+<span class="sig-prename descclassname"><span class="pre">DriftPredict.</span></span><span class="sig-name descname"><span class="pre">observe</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">frame</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.predict.DriftPredict.observe" title="Permalink to this definition">¶</a></dt>
+<dd><p>Examine the latest output of the linker, to update our predictions.</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.predict.DriftPredict.observe.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.predict.DriftPredict.predict.html b/trackpy/v0.6.2/generated/trackpy.predict.DriftPredict.predict.html
new file mode 100644
index 00000000..90b409ff
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.predict.DriftPredict.predict.html
@@ -0,0 +1,153 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.predict.DriftPredict.predict &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
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+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
+<meta name='viewport' content='width=device-width, initial-scale=1.0, maximum-scale=1'>
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+<script type="text/javascript" src="../_static/js/jquery-1.12.4.min.js"></script>
+<script type="text/javascript" src="../_static/js/jquery-fix.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-3.4.1/js/bootstrap.min.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-sphinx.js"></script>
+
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+
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+    <div class="container">
+      <div class="navbar-header">
+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
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+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
+            
+            
+              <li class="dropdown globaltoc-container">
+  <a role="button"
+     id="dLabelGlobalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="../index.html">Site <b class="caret"></b></a>
+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul>
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.predict.DriftPredict.predict</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-predict-driftpredict-predict">
+<h1>trackpy.predict.DriftPredict.predict<a class="headerlink" href="#trackpy-predict-driftpredict-predict" title="Permalink to this heading">¶</a></h1>
+<dl class="py method">
+<dt class="sig sig-object py" id="trackpy.predict.DriftPredict.predict">
+<span class="sig-prename descclassname"><span class="pre">DriftPredict.</span></span><span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">t1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">particles</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.predict.DriftPredict.predict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Predict the positions of ‘particles’ at time ‘t1’</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.predict.DriftPredict.predict.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.predict.DriftPredict.state.html b/trackpy/v0.6.2/generated/trackpy.predict.DriftPredict.state.html
new file mode 100644
index 00000000..07cc0032
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.predict.DriftPredict.state.html
@@ -0,0 +1,154 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.predict.DriftPredict.state &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
+<meta name='viewport' content='width=device-width, initial-scale=1.0, maximum-scale=1'>
+<meta name="apple-mobile-web-app-capable" content="yes">
+<script type="text/javascript" src="../_static/js/jquery-1.12.4.min.js"></script>
+<script type="text/javascript" src="../_static/js/jquery-fix.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-3.4.1/js/bootstrap.min.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-sphinx.js"></script>
+
+  </head><body>
+
+  <div id="navbar" class="navbar navbar-default navbar-fixed-top">
+    <div class="container">
+      <div class="navbar-header">
+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
+            
+            
+              <li class="dropdown globaltoc-container">
+  <a role="button"
+     id="dLabelGlobalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="../index.html">Site <b class="caret"></b></a>
+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul>
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.predict.DriftPredict.state</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-predict-driftpredict-state">
+<h1>trackpy.predict.DriftPredict.state<a class="headerlink" href="#trackpy-predict-driftpredict-state" title="Permalink to this heading">¶</a></h1>
+<dl class="py method">
+<dt class="sig sig-object py" id="trackpy.predict.DriftPredict.state">
+<span class="sig-prename descclassname"><span class="pre">DriftPredict.</span></span><span class="sig-name descname"><span class="pre">state</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.predict.DriftPredict.state" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a representation of the predictor’s internal state.</p>
+<p>For diagnostic purposes.</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.predict.DriftPredict.state.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.predict.DriftPredict.wrap.html b/trackpy/v0.6.2/generated/trackpy.predict.DriftPredict.wrap.html
new file mode 100644
index 00000000..684adcc1
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.predict.DriftPredict.wrap.html
@@ -0,0 +1,157 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.predict.DriftPredict.wrap &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
+<meta name='viewport' content='width=device-width, initial-scale=1.0, maximum-scale=1'>
+<meta name="apple-mobile-web-app-capable" content="yes">
+<script type="text/javascript" src="../_static/js/jquery-1.12.4.min.js"></script>
+<script type="text/javascript" src="../_static/js/jquery-fix.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-3.4.1/js/bootstrap.min.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-sphinx.js"></script>
+
+  </head><body>
+
+  <div id="navbar" class="navbar navbar-default navbar-fixed-top">
+    <div class="container">
+      <div class="navbar-header">
+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
+            
+            
+              <li class="dropdown globaltoc-container">
+  <a role="button"
+     id="dLabelGlobalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="../index.html">Site <b class="caret"></b></a>
+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul>
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.predict.DriftPredict.wrap</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-predict-driftpredict-wrap">
+<h1>trackpy.predict.DriftPredict.wrap<a class="headerlink" href="#trackpy-predict-driftpredict-wrap" title="Permalink to this heading">¶</a></h1>
+<dl class="py method">
+<dt class="sig sig-object py" id="trackpy.predict.DriftPredict.wrap">
+<span class="sig-prename descclassname"><span class="pre">DriftPredict.</span></span><span class="sig-name descname"><span class="pre">wrap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">linking_fcn</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kw</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.predict.DriftPredict.wrap" title="Permalink to this definition">¶</a></dt>
+<dd><p>Wrapper for an arbitrary linking function that causes it to use this predictor.</p>
+<p>The linking function must accept a ‘predictor’ keyword argument.</p>
+<p>The linking function must accept a ‘predictor’ keyword argument. It
+must return an iterator of DataFrames, emitting a DataFrame each time
+a frame is linked.</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.predict.DriftPredict.wrap.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.predict.DriftPredict.wrap_single.html b/trackpy/v0.6.2/generated/trackpy.predict.DriftPredict.wrap_single.html
new file mode 100644
index 00000000..b52f7084
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.predict.DriftPredict.wrap_single.html
@@ -0,0 +1,160 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.predict.DriftPredict.wrap_single &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
+<meta name='viewport' content='width=device-width, initial-scale=1.0, maximum-scale=1'>
+<meta name="apple-mobile-web-app-capable" content="yes">
+<script type="text/javascript" src="../_static/js/jquery-1.12.4.min.js"></script>
+<script type="text/javascript" src="../_static/js/jquery-fix.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-3.4.1/js/bootstrap.min.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-sphinx.js"></script>
+
+  </head><body>
+
+  <div id="navbar" class="navbar navbar-default navbar-fixed-top">
+    <div class="container">
+      <div class="navbar-header">
+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
+            
+            
+              <li class="dropdown globaltoc-container">
+  <a role="button"
+     id="dLabelGlobalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="../index.html">Site <b class="caret"></b></a>
+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul>
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
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+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.predict.DriftPredict.wrap_single</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
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+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-predict-driftpredict-wrap-single">
+<h1>trackpy.predict.DriftPredict.wrap_single<a class="headerlink" href="#trackpy-predict-driftpredict-wrap-single" title="Permalink to this heading">¶</a></h1>
+<dl class="py method">
+<dt class="sig sig-object py" id="trackpy.predict.DriftPredict.wrap_single">
+<span class="sig-prename descclassname"><span class="pre">DriftPredict.</span></span><span class="sig-name descname"><span class="pre">wrap_single</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">linking_fcn</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kw</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.predict.DriftPredict.wrap_single" title="Permalink to this definition">¶</a></dt>
+<dd><p>Wrapper for an arbitrary linking function that causes it to use this predictor.</p>
+<p>This wrapper causes the linker to accept and return a single DataFrame
+with coordinates for all frames. Because it wraps functions that use
+iterators of DataFrames, it should not necessarily be considered a drop-in replacement
+for another single-DataFrame linking function.</p>
+<p>The linking function must accept a ‘predictor’ keyword argument. It
+must return an iterator of DataFrames, emitting a DataFrame each time
+a frame is linked.</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.predict.DriftPredict.wrap_single.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
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+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.predict.NearestVelocityPredict.html b/trackpy/v0.6.2/generated/trackpy.predict.NearestVelocityPredict.html
new file mode 100644
index 00000000..809b3aec
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.predict.NearestVelocityPredict.html
@@ -0,0 +1,172 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.predict.NearestVelocityPredict &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
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+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
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+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
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+<li><a class="reference internal" href="#">trackpy.predict.NearestVelocityPredict</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
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+          </ul>
+
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+      
+  <section id="trackpy-predict-nearestvelocitypredict">
+<h1>trackpy.predict.NearestVelocityPredict<a class="headerlink" href="#trackpy-predict-nearestvelocitypredict" title="Permalink to this heading">¶</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="trackpy.predict.NearestVelocityPredict">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">trackpy.predict.</span></span><span class="sig-name descname"><span class="pre">NearestVelocityPredict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">initial_guess_positions</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">initial_guess_vels</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pos_columns</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">span</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.predict.NearestVelocityPredict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Predict a particle’s position based on the most recent nearby velocity.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><dl class="simple">
+<dt><strong>initial_guess_positions</strong><span class="classifier">Nxd array, optional</span></dt><dd><p>Columns should be in the same order used by the linking function.</p>
+</dd>
+<dt><strong>initial_guess_vels</strong><span class="classifier">Nxd array, optional</span></dt><dd><p>If specified, these initialize the velocity field with velocity
+samples at the given points.</p>
+</dd>
+<dt><strong>pos_columns</strong><span class="classifier">list of d strings, optional</span></dt><dd><p>Names of coordinate columns corresponding to the columns of
+the initial_guess arrays, e.g. [‘y’, ‘x’]. Required if a guess
+is specified.</p>
+</dd>
+<dt><strong>span</strong><span class="classifier">integer, default 1</span></dt><dd><p>Compute velocity field from the most recent span+1 frames.</p>
+</dd>
+</dl>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.predict.NearestVelocityPredict.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
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+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.predict.NearestVelocityPredict.link_df.html b/trackpy/v0.6.2/generated/trackpy.predict.NearestVelocityPredict.link_df.html
new file mode 100644
index 00000000..004b4787
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.predict.NearestVelocityPredict.link_df.html
@@ -0,0 +1,156 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.predict.NearestVelocityPredict.link_df &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
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+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
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+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
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+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
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+     id="dLabelLocalToc"
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+<li><a class="reference internal" href="#">trackpy.predict.NearestVelocityPredict.link_df</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
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+  <input type="hidden" name="area" value="default" />
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+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-predict-nearestvelocitypredict-link-df">
+<h1>trackpy.predict.NearestVelocityPredict.link_df<a class="headerlink" href="#trackpy-predict-nearestvelocitypredict-link-df" title="Permalink to this heading">¶</a></h1>
+<dl class="py method">
+<dt class="sig sig-object py" id="trackpy.predict.NearestVelocityPredict.link_df">
+<span class="sig-prename descclassname"><span class="pre">NearestVelocityPredict.</span></span><span class="sig-name descname"><span class="pre">link_df</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kw</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.predict.NearestVelocityPredict.link_df" title="Permalink to this definition">¶</a></dt>
+<dd><p>Wrapper for linking.link_df_iter() that causes it to use this predictor.</p>
+<p>As with linking.link_df(), the features data is a single DataFrame.</p>
+<p>Note that this does not wrap linking.link_df(), and does not accept the same
+options as that function. However in most cases it is functionally equivalent.</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.predict.NearestVelocityPredict.link_df.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.predict.NearestVelocityPredict.link_df_iter.html b/trackpy/v0.6.2/generated/trackpy.predict.NearestVelocityPredict.link_df_iter.html
new file mode 100644
index 00000000..8792231a
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.predict.NearestVelocityPredict.link_df_iter.html
@@ -0,0 +1,153 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.predict.NearestVelocityPredict.link_df_iter &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
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+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
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+     id="dLabelLocalToc"
+     data-toggle="dropdown"
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+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.predict.NearestVelocityPredict.link_df_iter</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
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+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-predict-nearestvelocitypredict-link-df-iter">
+<h1>trackpy.predict.NearestVelocityPredict.link_df_iter<a class="headerlink" href="#trackpy-predict-nearestvelocitypredict-link-df-iter" title="Permalink to this heading">¶</a></h1>
+<dl class="py method">
+<dt class="sig sig-object py" id="trackpy.predict.NearestVelocityPredict.link_df_iter">
+<span class="sig-prename descclassname"><span class="pre">NearestVelocityPredict.</span></span><span class="sig-name descname"><span class="pre">link_df_iter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kw</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.predict.NearestVelocityPredict.link_df_iter" title="Permalink to this definition">¶</a></dt>
+<dd><p>Wrapper for linking.link_df_iter() that causes it to use this predictor.</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
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+  <a href="../_sources/generated/trackpy.predict.NearestVelocityPredict.link_df_iter.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
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+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.predict.NearestVelocityPredict.observe.html b/trackpy/v0.6.2/generated/trackpy.predict.NearestVelocityPredict.observe.html
new file mode 100644
index 00000000..5b1db813
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.predict.NearestVelocityPredict.observe.html
@@ -0,0 +1,153 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.predict.NearestVelocityPredict.observe &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
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+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
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+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
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+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
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+                <li><a href="../tutorial.html">Tutorial</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
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+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
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+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.predict.NearestVelocityPredict.observe</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
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+          
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+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-predict-nearestvelocitypredict-observe">
+<h1>trackpy.predict.NearestVelocityPredict.observe<a class="headerlink" href="#trackpy-predict-nearestvelocitypredict-observe" title="Permalink to this heading">¶</a></h1>
+<dl class="py method">
+<dt class="sig sig-object py" id="trackpy.predict.NearestVelocityPredict.observe">
+<span class="sig-prename descclassname"><span class="pre">NearestVelocityPredict.</span></span><span class="sig-name descname"><span class="pre">observe</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">frame</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.predict.NearestVelocityPredict.observe" title="Permalink to this definition">¶</a></dt>
+<dd><p>Examine the latest output of the linker, to update our predictions.</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.predict.NearestVelocityPredict.observe.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.predict.NearestVelocityPredict.predict.html b/trackpy/v0.6.2/generated/trackpy.predict.NearestVelocityPredict.predict.html
new file mode 100644
index 00000000..35f8b449
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.predict.NearestVelocityPredict.predict.html
@@ -0,0 +1,153 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.predict.NearestVelocityPredict.predict &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
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+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
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+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
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+
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+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
+            
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+     id="dLabelGlobalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="../index.html">Site <b class="caret"></b></a>
+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul>
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.predict.NearestVelocityPredict.predict</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
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+          
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+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-predict-nearestvelocitypredict-predict">
+<h1>trackpy.predict.NearestVelocityPredict.predict<a class="headerlink" href="#trackpy-predict-nearestvelocitypredict-predict" title="Permalink to this heading">¶</a></h1>
+<dl class="py method">
+<dt class="sig sig-object py" id="trackpy.predict.NearestVelocityPredict.predict">
+<span class="sig-prename descclassname"><span class="pre">NearestVelocityPredict.</span></span><span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">t1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">particles</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.predict.NearestVelocityPredict.predict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Predict the positions of ‘particles’ at time ‘t1’</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.predict.NearestVelocityPredict.predict.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.predict.NearestVelocityPredict.state.html b/trackpy/v0.6.2/generated/trackpy.predict.NearestVelocityPredict.state.html
new file mode 100644
index 00000000..b1ed35dc
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.predict.NearestVelocityPredict.state.html
@@ -0,0 +1,154 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.predict.NearestVelocityPredict.state &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
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+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+<meta charset='utf-8'>
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+<script type="text/javascript" src="../_static/js/jquery-fix.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-3.4.1/js/bootstrap.min.js"></script>
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+      <div class="navbar-header">
+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
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+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
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+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
+            
+            
+              <li class="dropdown globaltoc-container">
+  <a role="button"
+     id="dLabelGlobalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="../index.html">Site <b class="caret"></b></a>
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+      role="menu"
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+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.predict.NearestVelocityPredict.state</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-predict-nearestvelocitypredict-state">
+<h1>trackpy.predict.NearestVelocityPredict.state<a class="headerlink" href="#trackpy-predict-nearestvelocitypredict-state" title="Permalink to this heading">¶</a></h1>
+<dl class="py method">
+<dt class="sig sig-object py" id="trackpy.predict.NearestVelocityPredict.state">
+<span class="sig-prename descclassname"><span class="pre">NearestVelocityPredict.</span></span><span class="sig-name descname"><span class="pre">state</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.predict.NearestVelocityPredict.state" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a representation of the predictor’s internal state.</p>
+<p>For diagnostic purposes.</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.predict.NearestVelocityPredict.state.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.predict.NearestVelocityPredict.wrap.html b/trackpy/v0.6.2/generated/trackpy.predict.NearestVelocityPredict.wrap.html
new file mode 100644
index 00000000..272275a6
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.predict.NearestVelocityPredict.wrap.html
@@ -0,0 +1,157 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.predict.NearestVelocityPredict.wrap &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
+<meta name='viewport' content='width=device-width, initial-scale=1.0, maximum-scale=1'>
+<meta name="apple-mobile-web-app-capable" content="yes">
+<script type="text/javascript" src="../_static/js/jquery-1.12.4.min.js"></script>
+<script type="text/javascript" src="../_static/js/jquery-fix.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-3.4.1/js/bootstrap.min.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-sphinx.js"></script>
+
+  </head><body>
+
+  <div id="navbar" class="navbar navbar-default navbar-fixed-top">
+    <div class="container">
+      <div class="navbar-header">
+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
+            
+            
+              <li class="dropdown globaltoc-container">
+  <a role="button"
+     id="dLabelGlobalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="../index.html">Site <b class="caret"></b></a>
+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul>
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.predict.NearestVelocityPredict.wrap</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-predict-nearestvelocitypredict-wrap">
+<h1>trackpy.predict.NearestVelocityPredict.wrap<a class="headerlink" href="#trackpy-predict-nearestvelocitypredict-wrap" title="Permalink to this heading">¶</a></h1>
+<dl class="py method">
+<dt class="sig sig-object py" id="trackpy.predict.NearestVelocityPredict.wrap">
+<span class="sig-prename descclassname"><span class="pre">NearestVelocityPredict.</span></span><span class="sig-name descname"><span class="pre">wrap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">linking_fcn</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kw</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.predict.NearestVelocityPredict.wrap" title="Permalink to this definition">¶</a></dt>
+<dd><p>Wrapper for an arbitrary linking function that causes it to use this predictor.</p>
+<p>The linking function must accept a ‘predictor’ keyword argument.</p>
+<p>The linking function must accept a ‘predictor’ keyword argument. It
+must return an iterator of DataFrames, emitting a DataFrame each time
+a frame is linked.</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.predict.NearestVelocityPredict.wrap.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.predict.NearestVelocityPredict.wrap_single.html b/trackpy/v0.6.2/generated/trackpy.predict.NearestVelocityPredict.wrap_single.html
new file mode 100644
index 00000000..bb3292ef
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.predict.NearestVelocityPredict.wrap_single.html
@@ -0,0 +1,160 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.predict.NearestVelocityPredict.wrap_single &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
+<meta name='viewport' content='width=device-width, initial-scale=1.0, maximum-scale=1'>
+<meta name="apple-mobile-web-app-capable" content="yes">
+<script type="text/javascript" src="../_static/js/jquery-1.12.4.min.js"></script>
+<script type="text/javascript" src="../_static/js/jquery-fix.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-3.4.1/js/bootstrap.min.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-sphinx.js"></script>
+
+  </head><body>
+
+  <div id="navbar" class="navbar navbar-default navbar-fixed-top">
+    <div class="container">
+      <div class="navbar-header">
+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
+            
+            
+              <li class="dropdown globaltoc-container">
+  <a role="button"
+     id="dLabelGlobalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="../index.html">Site <b class="caret"></b></a>
+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul>
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.predict.NearestVelocityPredict.wrap_single</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-predict-nearestvelocitypredict-wrap-single">
+<h1>trackpy.predict.NearestVelocityPredict.wrap_single<a class="headerlink" href="#trackpy-predict-nearestvelocitypredict-wrap-single" title="Permalink to this heading">¶</a></h1>
+<dl class="py method">
+<dt class="sig sig-object py" id="trackpy.predict.NearestVelocityPredict.wrap_single">
+<span class="sig-prename descclassname"><span class="pre">NearestVelocityPredict.</span></span><span class="sig-name descname"><span class="pre">wrap_single</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">linking_fcn</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kw</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.predict.NearestVelocityPredict.wrap_single" title="Permalink to this definition">¶</a></dt>
+<dd><p>Wrapper for an arbitrary linking function that causes it to use this predictor.</p>
+<p>This wrapper causes the linker to accept and return a single DataFrame
+with coordinates for all frames. Because it wraps functions that use
+iterators of DataFrames, it should not necessarily be considered a drop-in replacement
+for another single-DataFrame linking function.</p>
+<p>The linking function must accept a ‘predictor’ keyword argument. It
+must return an iterator of DataFrames, emitting a DataFrame each time
+a frame is linked.</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.predict.NearestVelocityPredict.wrap_single.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.predict.NullPredict.html b/trackpy/v0.6.2/generated/trackpy.predict.NullPredict.html
new file mode 100644
index 00000000..5949259a
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.predict.NullPredict.html
@@ -0,0 +1,156 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
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+</ul>
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+      
+  <section id="trackpy-predict-nullpredict">
+<h1>trackpy.predict.NullPredict<a class="headerlink" href="#trackpy-predict-nullpredict" title="Permalink to this heading">¶</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="trackpy.predict.NullPredict">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">trackpy.predict.</span></span><span class="sig-name descname"><span class="pre">NullPredict</span></span><a class="headerlink" href="#trackpy.predict.NullPredict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Predict that particles will not move.</p>
+<p>(Equivalent to standard behavior of linker.)</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
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+  <a href="../_sources/generated/trackpy.predict.NullPredict.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
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+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.predict.NullPredict.link_df.html b/trackpy/v0.6.2/generated/trackpy.predict.NullPredict.link_df.html
new file mode 100644
index 00000000..7b7ee4fb
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.predict.NullPredict.link_df.html
@@ -0,0 +1,156 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.predict.NullPredict.link_df &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
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+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
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+                <li><a href="../tutorial.html">Tutorial</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
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+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
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+  <ul class="dropdown-menu localtoc"
+      role="menu"
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+<li><a class="reference internal" href="#">trackpy.predict.NullPredict.link_df</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
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+          
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+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-predict-nullpredict-link-df">
+<h1>trackpy.predict.NullPredict.link_df<a class="headerlink" href="#trackpy-predict-nullpredict-link-df" title="Permalink to this heading">¶</a></h1>
+<dl class="py method">
+<dt class="sig sig-object py" id="trackpy.predict.NullPredict.link_df">
+<span class="sig-prename descclassname"><span class="pre">NullPredict.</span></span><span class="sig-name descname"><span class="pre">link_df</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kw</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.predict.NullPredict.link_df" title="Permalink to this definition">¶</a></dt>
+<dd><p>Wrapper for linking.link_df_iter() that causes it to use this predictor.</p>
+<p>As with linking.link_df(), the features data is a single DataFrame.</p>
+<p>Note that this does not wrap linking.link_df(), and does not accept the same
+options as that function. However in most cases it is functionally equivalent.</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.predict.NullPredict.link_df.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.predict.NullPredict.link_df_iter.html b/trackpy/v0.6.2/generated/trackpy.predict.NullPredict.link_df_iter.html
new file mode 100644
index 00000000..ff77cac5
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.predict.NullPredict.link_df_iter.html
@@ -0,0 +1,153 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.predict.NullPredict.link_df_iter &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
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+    <link rel="index" title="Index" href="../genindex.html" />
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+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
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+                <li><a href="../tutorial.html">Tutorial</a></li>
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+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul>
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
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+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.predict.NullPredict.link_df_iter</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
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+  <input type="hidden" name="area" value="default" />
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+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-predict-nullpredict-link-df-iter">
+<h1>trackpy.predict.NullPredict.link_df_iter<a class="headerlink" href="#trackpy-predict-nullpredict-link-df-iter" title="Permalink to this heading">¶</a></h1>
+<dl class="py method">
+<dt class="sig sig-object py" id="trackpy.predict.NullPredict.link_df_iter">
+<span class="sig-prename descclassname"><span class="pre">NullPredict.</span></span><span class="sig-name descname"><span class="pre">link_df_iter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kw</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.predict.NullPredict.link_df_iter" title="Permalink to this definition">¶</a></dt>
+<dd><p>Wrapper for linking.link_df_iter() that causes it to use this predictor.</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.predict.NullPredict.link_df_iter.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.predict.NullPredict.observe.html b/trackpy/v0.6.2/generated/trackpy.predict.NullPredict.observe.html
new file mode 100644
index 00000000..18129ccc
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.predict.NullPredict.observe.html
@@ -0,0 +1,153 @@
+<!DOCTYPE html>
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+</ul>
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+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
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+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-predict-nullpredict-observe">
+<h1>trackpy.predict.NullPredict.observe<a class="headerlink" href="#trackpy-predict-nullpredict-observe" title="Permalink to this heading">¶</a></h1>
+<dl class="py method">
+<dt class="sig sig-object py" id="trackpy.predict.NullPredict.observe">
+<span class="sig-prename descclassname"><span class="pre">NullPredict.</span></span><span class="sig-name descname"><span class="pre">observe</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">frame</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.predict.NullPredict.observe" title="Permalink to this definition">¶</a></dt>
+<dd><p>Examine the latest output of the linker, to update our predictions.</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
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+  <a href="../_sources/generated/trackpy.predict.NullPredict.observe.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
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\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.predict.NullPredict.predict.html b/trackpy/v0.6.2/generated/trackpy.predict.NullPredict.predict.html
new file mode 100644
index 00000000..b972dde1
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.predict.NullPredict.predict.html
@@ -0,0 +1,153 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.predict.NullPredict.predict &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
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+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
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+                <li><a href="../tutorial.html">Tutorial</a></li>
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+      aria-labelledby="dLabelGlobalToc"><ul>
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+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
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+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.predict.NullPredict.predict</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
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+  <input type="hidden" name="area" value="default" />
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+          
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+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-predict-nullpredict-predict">
+<h1>trackpy.predict.NullPredict.predict<a class="headerlink" href="#trackpy-predict-nullpredict-predict" title="Permalink to this heading">¶</a></h1>
+<dl class="py method">
+<dt class="sig sig-object py" id="trackpy.predict.NullPredict.predict">
+<span class="sig-prename descclassname"><span class="pre">NullPredict.</span></span><span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">t1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">particles</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.predict.NullPredict.predict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Predict the positions of ‘particles’ at time ‘t1’</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
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+      
+        <br/>
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+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.predict.NullPredict.predict.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
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+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.predict.NullPredict.state.html b/trackpy/v0.6.2/generated/trackpy.predict.NullPredict.state.html
new file mode 100644
index 00000000..b6455277
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.predict.NullPredict.state.html
@@ -0,0 +1,154 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.predict.NullPredict.state &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
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+    <link rel="index" title="Index" href="../genindex.html" />
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+<meta charset='utf-8'>
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+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
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+                <li><a href="../tutorial.html">Tutorial</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
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+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.predict.NullPredict.state</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-predict-nullpredict-state">
+<h1>trackpy.predict.NullPredict.state<a class="headerlink" href="#trackpy-predict-nullpredict-state" title="Permalink to this heading">¶</a></h1>
+<dl class="py method">
+<dt class="sig sig-object py" id="trackpy.predict.NullPredict.state">
+<span class="sig-prename descclassname"><span class="pre">NullPredict.</span></span><span class="sig-name descname"><span class="pre">state</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.predict.NullPredict.state" title="Permalink to this definition">¶</a></dt>
+<dd><p>Return a representation of the predictor’s internal state.</p>
+<p>For diagnostic purposes.</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
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+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.predict.NullPredict.state.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.predict.NullPredict.wrap.html b/trackpy/v0.6.2/generated/trackpy.predict.NullPredict.wrap.html
new file mode 100644
index 00000000..bae5a8fc
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.predict.NullPredict.wrap.html
@@ -0,0 +1,157 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.predict.NullPredict.wrap &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
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+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
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+     id="dLabelLocalToc"
+     data-toggle="dropdown"
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+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.predict.NullPredict.wrap</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
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+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-predict-nullpredict-wrap">
+<h1>trackpy.predict.NullPredict.wrap<a class="headerlink" href="#trackpy-predict-nullpredict-wrap" title="Permalink to this heading">¶</a></h1>
+<dl class="py method">
+<dt class="sig sig-object py" id="trackpy.predict.NullPredict.wrap">
+<span class="sig-prename descclassname"><span class="pre">NullPredict.</span></span><span class="sig-name descname"><span class="pre">wrap</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">linking_fcn</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kw</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.predict.NullPredict.wrap" title="Permalink to this definition">¶</a></dt>
+<dd><p>Wrapper for an arbitrary linking function that causes it to use this predictor.</p>
+<p>The linking function must accept a ‘predictor’ keyword argument.</p>
+<p>The linking function must accept a ‘predictor’ keyword argument. It
+must return an iterator of DataFrames, emitting a DataFrame each time
+a frame is linked.</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.predict.NullPredict.wrap.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.predict.NullPredict.wrap_single.html b/trackpy/v0.6.2/generated/trackpy.predict.NullPredict.wrap_single.html
new file mode 100644
index 00000000..1a59072e
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.predict.NullPredict.wrap_single.html
@@ -0,0 +1,160 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.predict.NullPredict.wrap_single &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
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+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
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+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
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+     href="../index.html">Site <b class="caret"></b></a>
+  <ul class="dropdown-menu globaltoc"
+      role="menu"
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+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
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+     id="dLabelLocalToc"
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+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.predict.NullPredict.wrap_single</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
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+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
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+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-predict-nullpredict-wrap-single">
+<h1>trackpy.predict.NullPredict.wrap_single<a class="headerlink" href="#trackpy-predict-nullpredict-wrap-single" title="Permalink to this heading">¶</a></h1>
+<dl class="py method">
+<dt class="sig sig-object py" id="trackpy.predict.NullPredict.wrap_single">
+<span class="sig-prename descclassname"><span class="pre">NullPredict.</span></span><span class="sig-name descname"><span class="pre">wrap_single</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">linking_fcn</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kw</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.predict.NullPredict.wrap_single" title="Permalink to this definition">¶</a></dt>
+<dd><p>Wrapper for an arbitrary linking function that causes it to use this predictor.</p>
+<p>This wrapper causes the linker to accept and return a single DataFrame
+with coordinates for all frames. Because it wraps functions that use
+iterators of DataFrames, it should not necessarily be considered a drop-in replacement
+for another single-DataFrame linking function.</p>
+<p>The linking function must accept a ‘predictor’ keyword argument. It
+must return an iterator of DataFrames, emitting a DataFrame each time
+a frame is linked.</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.predict.NullPredict.wrap_single.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.predict.html b/trackpy/v0.6.2/generated/trackpy.predict.html
new file mode 100644
index 00000000..31548af1
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.predict.html
@@ -0,0 +1,181 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.predict &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
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+    <link rel="index" title="Index" href="../genindex.html" />
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+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
+            
+            
+              <li class="dropdown globaltoc-container">
+  <a role="button"
+     id="dLabelGlobalToc"
+     data-toggle="dropdown"
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+     href="../index.html">Site <b class="caret"></b></a>
+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.predict</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
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+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="module-trackpy.predict">
+<span id="trackpy-predict"></span><h1>trackpy.predict<a class="headerlink" href="#module-trackpy.predict" title="Permalink to this heading">¶</a></h1>
+<p>Tools to improve tracking performance by guessing where a particle will appear next.</p>
+<p class="rubric">Functions</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="trackpy.predict.instrumented.html#trackpy.predict.instrumented" title="trackpy.predict.instrumented"><code class="xref py py-obj docutils literal notranslate"><span class="pre">instrumented</span></code></a>([limit])</p></td>
+<td><p>Decorate a predictor class and allow it to record inputs and outputs.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">null_predict</span></code>(t1, particles)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="trackpy.predict.predictor.html#trackpy.predict.predictor" title="trackpy.predict.predictor"><code class="xref py py-obj docutils literal notranslate"><span class="pre">predictor</span></code></a>(predict_func)</p></td>
+<td><p>Decorator to vectorize a predictor function for a single particle.</p></td>
+</tr>
+</tbody>
+</table>
+<p class="rubric">Classes</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="trackpy.predict.ChannelPredict.html#trackpy.predict.ChannelPredict" title="trackpy.predict.ChannelPredict"><code class="xref py py-obj docutils literal notranslate"><span class="pre">ChannelPredict</span></code></a>(bin_size[, flow_axis, ...])</p></td>
+<td><p>Predict a particle's position based on its spanwise coordinate in a channel.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="trackpy.predict.DriftPredict.html#trackpy.predict.DriftPredict" title="trackpy.predict.DriftPredict"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DriftPredict</span></code></a>([initial_guess, pos_columns, span])</p></td>
+<td><p>Predict a particle's position based on the mean velocity of all particles.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="trackpy.predict.NearestVelocityPredict.html#trackpy.predict.NearestVelocityPredict" title="trackpy.predict.NearestVelocityPredict"><code class="xref py py-obj docutils literal notranslate"><span class="pre">NearestVelocityPredict</span></code></a>([...])</p></td>
+<td><p>Predict a particle's position based on the most recent nearby velocity.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="trackpy.predict.NullPredict.html#trackpy.predict.NullPredict" title="trackpy.predict.NullPredict"><code class="xref py py-obj docutils literal notranslate"><span class="pre">NullPredict</span></code></a>()</p></td>
+<td><p>Predict that particles will not move.</p></td>
+</tr>
+</tbody>
+</table>
+</section>
+
+
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+      
+  </div>
+</div>
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+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
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\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.predict.instrumented.html b/trackpy/v0.6.2/generated/trackpy.predict.instrumented.html
new file mode 100644
index 00000000..5d7c1de2
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@@ -0,0 +1,163 @@
+<!DOCTYPE html>
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+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
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+      
+  <section id="trackpy-predict-instrumented">
+<h1>trackpy.predict.instrumented<a class="headerlink" href="#trackpy-predict-instrumented" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.predict.instrumented">
+<span class="sig-prename descclassname"><span class="pre">trackpy.predict.</span></span><span class="sig-name descname"><span class="pre">instrumented</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">limit</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.predict.instrumented" title="Permalink to this definition">¶</a></dt>
+<dd><p>Decorate a predictor class and allow it to record inputs and outputs.</p>
+<p>Use when diagnosing prediction.</p>
+<p>limit : maximum number of recent frames to retain. If None, keep all.</p>
+<p class="rubric">Examples</p>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">pred</span> <span class="o">=</span> <span class="n">instrumented</span><span class="p">()(</span><span class="n">ChannelPredict</span><span class="p">)(</span><span class="mi">50</span><span class="p">,</span> <span class="n">flow_axis</span><span class="o">=</span><span class="s1">&#39;y&#39;</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">pred</span><span class="o">.</span><span class="n">link_df_iter</span><span class="p">(</span><span class="o">...</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">diagnostics</span> <span class="o">=</span> <span class="n">pred</span><span class="o">.</span><span class="n">dump</span><span class="p">()</span>
+</pre></div>
+</div>
+</dd></dl>
+
+</section>
+
+
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+      
+  </div>
+</div>
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+  <a href="../_sources/generated/trackpy.predict.instrumented.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
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diff --git a/trackpy/v0.6.2/generated/trackpy.predict.predictor.html b/trackpy/v0.6.2/generated/trackpy.predict.predictor.html
new file mode 100644
index 00000000..59f9f70d
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.predict.predictor.html
@@ -0,0 +1,158 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.predict.predictor &#8212; trackpy 0.6.2 documentation</title>
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+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
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+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
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+      
+  <section id="trackpy-predict-predictor">
+<h1>trackpy.predict.predictor<a class="headerlink" href="#trackpy-predict-predictor" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.predict.predictor">
+<span class="sig-prename descclassname"><span class="pre">trackpy.predict.</span></span><span class="sig-name descname"><span class="pre">predictor</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">predict_func</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.predict.predictor" title="Permalink to this definition">¶</a></dt>
+<dd><p>Decorator to vectorize a predictor function for a single particle.</p>
+<p>Converts P(t1, particle) into Pvec(t1, particles), where ‘particles’ is a list
+of particle instances, and ‘Pvec’ can be passed to a linking function
+(e.g. link_df_iter()) via its ‘predictor’ argument.</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
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+  <a href="../_sources/generated/trackpy.predict.predictor.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
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diff --git a/trackpy/v0.6.2/generated/trackpy.preprocessing.bandpass.html b/trackpy/v0.6.2/generated/trackpy.preprocessing.bandpass.html
new file mode 100644
index 00000000..bdf1aaf0
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.preprocessing.bandpass.html
@@ -0,0 +1,198 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
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+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
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+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
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+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
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+      
+  <section id="trackpy-preprocessing-bandpass">
+<h1>trackpy.preprocessing.bandpass<a class="headerlink" href="#trackpy-preprocessing-bandpass" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.preprocessing.bandpass">
+<span class="sig-prename descclassname"><span class="pre">trackpy.preprocessing.</span></span><span class="sig-name descname"><span class="pre">bandpass</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">image</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lshort</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">llong</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">truncate</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">4</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.preprocessing.bandpass" title="Permalink to this definition">¶</a></dt>
+<dd><p>Remove noise and background variation.</p>
+<p>Convolve with a Gaussian to remove short-wavelength noise and subtract out
+long-wavelength variations by subtracting a running average. This retains
+features of intermediate scale.</p>
+<p>The lowpass implementation relies on scipy.ndimage.filters.gaussian_filter,
+and it is the fastest way known to the authors of performing a bandpass in
+Python.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><dl class="simple">
+<dt><strong>image</strong><span class="classifier">ndarray</span></dt><dd></dd>
+<dt><strong>lshort</strong><span class="classifier">number or tuple</span></dt><dd><p>Size of the gaussian kernel with which the image is convolved.
+Provide a tuple for different sizes per dimension.</p>
+</dd>
+<dt><strong>llong</strong><span class="classifier">integer or tuple</span></dt><dd><p>The size of rolling average (square or rectangular kernel) filter.
+Should be odd and larger than the particle diameter.
+When llong &lt;= lshort, an error is raised.
+Provide a tuple for different sizes per dimension.</p>
+</dd>
+<dt><strong>threshold</strong><span class="classifier">float or integer</span></dt><dd><p>Clip bandpass result below this value. Thresholding is done on the
+already background-subtracted image.
+By default, 1 for integer images and 1/255 for float images.</p>
+</dd>
+<dt><strong>truncate</strong><span class="classifier">number, optional</span></dt><dd><p>Determines the truncation size of the gaussian kernel. Default 4.</p>
+</dd>
+</dl>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><dl class="simple">
+<dt><strong>result</strong><span class="classifier">array</span></dt><dd><p>the bandpassed image</p>
+</dd>
+</dl>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<dl class="simple">
+<dt><a class="reference internal" href="trackpy.preprocessing.lowpass.html#trackpy.preprocessing.lowpass" title="trackpy.preprocessing.lowpass"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lowpass</span></code></a>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">boxcar</span></code>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">legacy_bandpass</span></code>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">legacy_bandpass_fftw</span></code></dt><dd></dd>
+</dl>
+</div>
+<p class="rubric">Notes</p>
+<p>The boxcar size and shape changed in v0.4: before, the boxcar had a
+circular kernel with radius <cite>llong</cite>, now it is has a square kernel that
+has an edge length of <cite>llong</cite> (twice as small!).</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
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+</div>
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+    <p class="pull-right">
+      <a href="#">Back to top</a>
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+        <br/>
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+  <a href="../_sources/generated/trackpy.preprocessing.bandpass.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
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diff --git a/trackpy/v0.6.2/generated/trackpy.preprocessing.convert_to_int.html b/trackpy/v0.6.2/generated/trackpy.preprocessing.convert_to_int.html
new file mode 100644
index 00000000..f30dc025
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+  <section id="trackpy-preprocessing-convert-to-int">
+<h1>trackpy.preprocessing.convert_to_int<a class="headerlink" href="#trackpy-preprocessing-convert-to-int" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.preprocessing.convert_to_int">
+<span class="sig-prename descclassname"><span class="pre">trackpy.preprocessing.</span></span><span class="sig-name descname"><span class="pre">convert_to_int</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">image</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'uint8'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.preprocessing.convert_to_int" title="Permalink to this definition">¶</a></dt>
+<dd><p>Convert the image to integer and normalize if applicable.</p>
+<p>Clips all negative values to 0. Does nothing if the image is already
+of integer type.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><dl class="simple">
+<dt><strong>image</strong><span class="classifier">ndarray</span></dt><dd></dd>
+<dt><strong>dtype</strong><span class="classifier">numpy dtype</span></dt><dd><p>dtype to convert to. If the image is already of integer type, this
+argument is ignored. Must be integer-subdtype. Default ‘uint8’.</p>
+</dd>
+</dl>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><dl class="simple">
+<dt>tuple of (scale_factor, image)</dt><dd></dd>
+</dl>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
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new file mode 100644
index 00000000..2be4c9e7
--- /dev/null
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@@ -0,0 +1,181 @@
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+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
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+  <section id="module-trackpy.preprocessing">
+<span id="trackpy-preprocessing"></span><h1>trackpy.preprocessing<a class="headerlink" href="#module-trackpy.preprocessing" title="Permalink to this heading">¶</a></h1>
+<p class="rubric">Functions</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="trackpy.preprocessing.bandpass.html#trackpy.preprocessing.bandpass" title="trackpy.preprocessing.bandpass"><code class="xref py py-obj docutils literal notranslate"><span class="pre">bandpass</span></code></a>(image, lshort, llong[, threshold, ...])</p></td>
+<td><p>Remove noise and background variation.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">boxcar</span></code>(image, size)</p></td>
+<td><p>Compute a rolling (boxcar) average of an image.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="trackpy.preprocessing.convert_to_int.html#trackpy.preprocessing.convert_to_int" title="trackpy.preprocessing.convert_to_int"><code class="xref py py-obj docutils literal notranslate"><span class="pre">convert_to_int</span></code></a>(image[, dtype])</p></td>
+<td><p>Convert the image to integer and normalize if applicable.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="trackpy.preprocessing.invert_image.html#trackpy.preprocessing.invert_image" title="trackpy.preprocessing.invert_image"><code class="xref py py-obj docutils literal notranslate"><span class="pre">invert_image</span></code></a>(raw_image[, max_value])</p></td>
+<td><p>This function has been made lazy.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">legacy_bandpass</span></code>(image, lshort, llong[, ...])</p></td>
+<td><p>Remove noise and background variation.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">legacy_bandpass_fftw</span></code>(image, lshort, llong[, ...])</p></td>
+<td><p>Remove noise and background variation.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="trackpy.preprocessing.lowpass.html#trackpy.preprocessing.lowpass" title="trackpy.preprocessing.lowpass"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lowpass</span></code></a>(image[, sigma, truncate])</p></td>
+<td><p>Remove noise by convolving with a Gaussian.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="trackpy.preprocessing.scale_to_gamut.html#trackpy.preprocessing.scale_to_gamut" title="trackpy.preprocessing.scale_to_gamut"><code class="xref py py-obj docutils literal notranslate"><span class="pre">scale_to_gamut</span></code></a>(image, original_dtype[, ...])</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">scalefactor_to_gamut</span></code>(image, original_dtype)</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</section>
+
+
+    </div>
+      
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+</div>
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+  <a href="../_sources/generated/trackpy.preprocessing.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
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+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.preprocessing.invert_image.html b/trackpy/v0.6.2/generated/trackpy.preprocessing.invert_image.html
new file mode 100644
index 00000000..3786433f
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.preprocessing.invert_image.html
@@ -0,0 +1,178 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.preprocessing.invert_image &#8212; trackpy 0.6.2 documentation</title>
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+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
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+</li>
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+<li><a class="reference internal" href="#">trackpy.preprocessing.invert_image</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
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+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-preprocessing-invert-image">
+<h1>trackpy.preprocessing.invert_image<a class="headerlink" href="#trackpy-preprocessing-invert-image" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.preprocessing.invert_image">
+<span class="sig-prename descclassname"><span class="pre">trackpy.preprocessing.</span></span><span class="sig-name descname"><span class="pre">invert_image</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">raw_image</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_value</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.preprocessing.invert_image" title="Permalink to this definition">¶</a></dt>
+<dd><p>This function has been made lazy. When passed
+a Slicerator, it will return a 
+Pipeline of the results. When passed 
+any other objects, its behavior is unchanged.</p>
+<p>Invert the image.</p>
+<blockquote>
+<div><p>Use this to convert dark features on a bright background to bright features
+on a dark background.</p>
+</div></blockquote>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><dl class="simple">
+<dt><strong>image</strong><span class="classifier">ndarray</span></dt><dd></dd>
+<dt><strong>max_value</strong><span class="classifier">number</span></dt><dd><p>The maximum value of the image. Optional. If not given, this will is
+(for integers) the highest possible value and (for floats) 1.</p>
+</dd>
+</dl>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><dl class="simple">
+<dt>inverted image</dt><dd></dd>
+</dl>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
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+    <p class="pull-right">
+      <a href="#">Back to top</a>
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+  <a href="../_sources/generated/trackpy.preprocessing.invert_image.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
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+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.preprocessing.lowpass.html b/trackpy/v0.6.2/generated/trackpy.preprocessing.lowpass.html
new file mode 100644
index 00000000..0580e1bc
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.preprocessing.lowpass.html
@@ -0,0 +1,183 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.preprocessing.lowpass &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
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+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
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+</ul>
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+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
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+<li><a class="reference internal" href="#">trackpy.preprocessing.lowpass</a></li>
+</ul>
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+              
+            
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+      
+  <section id="trackpy-preprocessing-lowpass">
+<h1>trackpy.preprocessing.lowpass<a class="headerlink" href="#trackpy-preprocessing-lowpass" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.preprocessing.lowpass">
+<span class="sig-prename descclassname"><span class="pre">trackpy.preprocessing.</span></span><span class="sig-name descname"><span class="pre">lowpass</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">image</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sigma</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">truncate</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">4</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.preprocessing.lowpass" title="Permalink to this definition">¶</a></dt>
+<dd><p>Remove noise by convolving with a Gaussian.</p>
+<p>Convolve with a Gaussian to remove short-wavelength noise.</p>
+<p>The lowpass implementation relies on scipy.ndimage.filters.gaussian_filter,
+and it is the fastest way known to the authors of performing a bandpass in
+Python.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><dl class="simple">
+<dt><strong>image</strong><span class="classifier">ndarray</span></dt><dd></dd>
+<dt><strong>sigma</strong><span class="classifier">number or tuple, optional</span></dt><dd><p>Size of the gaussian kernel with which the image is convolved.
+Provide a tuple for different sizes per dimension. Default 1.</p>
+</dd>
+<dt><strong>truncate</strong><span class="classifier">number, optional</span></dt><dd><p>Determines the truncation size of the convolution kernel. Default 4.</p>
+</dd>
+</dl>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><dl class="simple">
+<dt><strong>result</strong><span class="classifier">array</span></dt><dd><p>the processed image, as float</p>
+</dd>
+</dl>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<dl class="simple">
+<dt><a class="reference internal" href="trackpy.preprocessing.bandpass.html#trackpy.preprocessing.bandpass" title="trackpy.preprocessing.bandpass"><code class="xref py py-obj docutils literal notranslate"><span class="pre">bandpass</span></code></a></dt><dd></dd>
+</dl>
+</div>
+</dd></dl>
+
+</section>
+
+
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+      
+  </div>
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+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
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+  <a href="../_sources/generated/trackpy.preprocessing.lowpass.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
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\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.preprocessing.scale_to_gamut.html b/trackpy/v0.6.2/generated/trackpy.preprocessing.scale_to_gamut.html
new file mode 100644
index 00000000..db5cd713
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.preprocessing.scale_to_gamut.html
@@ -0,0 +1,154 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.preprocessing.scale_to_gamut &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
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+          trackpy</a>
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+  <a role="button"
+     id="dLabelGlobalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="../index.html">Site <b class="caret"></b></a>
+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.preprocessing.scale_to_gamut</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-preprocessing-scale-to-gamut">
+<h1>trackpy.preprocessing.scale_to_gamut<a class="headerlink" href="#trackpy-preprocessing-scale-to-gamut" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.preprocessing.scale_to_gamut">
+<span class="sig-prename descclassname"><span class="pre">trackpy.preprocessing.</span></span><span class="sig-name descname"><span class="pre">scale_to_gamut</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">image</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">original_dtype</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scale_factor</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.preprocessing.scale_to_gamut" title="Permalink to this definition">¶</a></dt>
+<dd></dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.preprocessing.scale_to_gamut.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.quiet.html b/trackpy/v0.6.2/generated/trackpy.quiet.html
new file mode 100644
index 00000000..ea586955
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.quiet.html
@@ -0,0 +1,164 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.quiet &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+    <link rel="next" title="trackpy.handle_logging" href="trackpy.handle_logging.html" />
+    <link rel="prev" title="trackpy.FramewiseData" href="trackpy.FramewiseData.html" />
+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
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+<meta name="apple-mobile-web-app-capable" content="yes">
+<script type="text/javascript" src="../_static/js/jquery-1.12.4.min.js"></script>
+<script type="text/javascript" src="../_static/js/jquery-fix.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-3.4.1/js/bootstrap.min.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-sphinx.js"></script>
+
+  </head><body>
+
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+    <div class="container">
+      <div class="navbar-header">
+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
+            
+            
+              <li class="dropdown globaltoc-container">
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+     id="dLabelGlobalToc"
+     data-toggle="dropdown"
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+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.quiet</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-quiet">
+<h1>trackpy.quiet<a class="headerlink" href="#trackpy-quiet" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.quiet">
+<span class="sig-prename descclassname"><span class="pre">trackpy.</span></span><span class="sig-name descname"><span class="pre">quiet</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">suppress</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.quiet" title="Permalink to this definition">¶</a></dt>
+<dd><p>Suppress trackpy information log messages.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><dl class="simple">
+<dt><strong>suppress</strong><span class="classifier">boolean</span></dt><dd><p>If True, set the logging level to WARN, hiding INFO-level messages.
+If False, set level to INFO, showing informational messages.</p>
+</dd>
+</dl>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.quiet.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.reconnect_traj_patch.html b/trackpy/v0.6.2/generated/trackpy.reconnect_traj_patch.html
new file mode 100644
index 00000000..5280b448
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.reconnect_traj_patch.html
@@ -0,0 +1,164 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.reconnect_traj_patch &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+    <link rel="next" title="trackpy.static.proximity" href="trackpy.static.proximity.html" />
+    <link rel="prev" title="trackpy.link_partial" href="trackpy.link_partial.html" />
+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
+<meta name='viewport' content='width=device-width, initial-scale=1.0, maximum-scale=1'>
+<meta name="apple-mobile-web-app-capable" content="yes">
+<script type="text/javascript" src="../_static/js/jquery-1.12.4.min.js"></script>
+<script type="text/javascript" src="../_static/js/jquery-fix.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-3.4.1/js/bootstrap.min.js"></script>
+<script type="text/javascript" src="../_static/bootstrap-sphinx.js"></script>
+
+  </head><body>
+
+  <div id="navbar" class="navbar navbar-default navbar-fixed-top">
+    <div class="container">
+      <div class="navbar-header">
+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
+            
+            
+              <li class="dropdown globaltoc-container">
+  <a role="button"
+     id="dLabelGlobalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="../index.html">Site <b class="caret"></b></a>
+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.reconnect_traj_patch</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-reconnect-traj-patch">
+<h1>trackpy.reconnect_traj_patch<a class="headerlink" href="#trackpy-reconnect-traj-patch" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.reconnect_traj_patch">
+<span class="sig-prename descclassname"><span class="pre">trackpy.</span></span><span class="sig-name descname"><span class="pre">reconnect_traj_patch</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">f</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">link_range</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">old_particle_column</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_column</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'frame'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.reconnect_traj_patch" title="Permalink to this definition">¶</a></dt>
+<dd><p>Reconnect the trajectory inside a range of frames to the trajectories
+outside the range.</p>
+<p>Requires a column with the original particle indices. Does not work in
+combination with memory. Changes the provided DataFrame inplace.</p>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<dl class="simple">
+<dt><a class="reference internal" href="trackpy.link_partial.html#trackpy.link_partial" title="trackpy.link_partial"><code class="xref py py-obj docutils literal notranslate"><span class="pre">link_partial</span></code></a></dt><dd></dd>
+</dl>
+</div>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.reconnect_traj_patch.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.refine.brightfield_ring.html b/trackpy/v0.6.2/generated/trackpy.refine.brightfield_ring.html
new file mode 100644
index 00000000..f57d3626
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.refine.brightfield_ring.html
@@ -0,0 +1,159 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.refine.brightfield_ring &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+    <link rel="next" title="trackpy.refine.center_of_mass" href="trackpy.refine.center_of_mass.html" />
+    <link rel="prev" title="trackpy.refine" href="trackpy.refine.html" />
+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
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+</ul>
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+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
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+  <ul class="dropdown-menu localtoc"
+      role="menu"
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+<li><a class="reference internal" href="#">trackpy.refine.brightfield_ring</a></li>
+</ul>
+</ul>
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+              
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+<div class="container">
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+      
+  <section id="module-trackpy.refine.brightfield_ring">
+<span id="trackpy-refine-brightfield-ring"></span><h1>trackpy.refine.brightfield_ring<a class="headerlink" href="#module-trackpy.refine.brightfield_ring" title="Permalink to this heading">¶</a></h1>
+<p>Detect particles in brightfield mode by tracking a ring of dark pixels around a
+bright interior part. Based on <a class="reference external" href="https://github.com/caspervdw/circletracking">https://github.com/caspervdw/circletracking</a></p>
+<p class="rubric">Functions</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">refine_brightfield_ring</span></code>(image, radius, coords_df)</p></td>
+<td><p>Find the center of mass of a brightfield feature starting from an estimate.</p></td>
+</tr>
+</tbody>
+</table>
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.refine.brightfield_ring.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
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+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.refine.center_of_mass.html b/trackpy/v0.6.2/generated/trackpy.refine.center_of_mass.html
new file mode 100644
index 00000000..c6513f73
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.refine.center_of_mass.html
@@ -0,0 +1,160 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.refine.center_of_mass &#8212; trackpy 0.6.2 documentation</title>
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+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
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+</ul>
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+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
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+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.refine.center_of_mass</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
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+          </ul>
+
+          
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+<form class="navbar-form navbar-right" action="../search.html" method="get">
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+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="module-trackpy.refine.center_of_mass">
+<span id="trackpy-refine-center-of-mass"></span><h1>trackpy.refine.center_of_mass<a class="headerlink" href="#module-trackpy.refine.center_of_mass" title="Permalink to this heading">¶</a></h1>
+<p class="rubric">Functions</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">refine_com</span></code>(raw_image, image, radius, coords)</p></td>
+<td><p>Find the center of mass of a bright feature starting from an estimate.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">refine_com_arr</span></code>(raw_image, image, radius, coords)</p></td>
+<td><p>Refine coordinates and return a numpy array instead of a DataFrame.</p></td>
+</tr>
+</tbody>
+</table>
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.refine.center_of_mass.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
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+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.refine.html b/trackpy/v0.6.2/generated/trackpy.refine.html
new file mode 100644
index 00000000..c30df058
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.refine.html
@@ -0,0 +1,163 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.refine &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
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+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
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+                <li><a href="../tutorial.html">Tutorial</a></li>
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+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
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+     id="dLabelLocalToc"
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+      role="menu"
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+<li><a class="reference internal" href="#">trackpy.refine</a></li>
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+<div class="container">
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+    <div class="body col-md-12 content" role="main">
+      
+  <section id="module-trackpy.refine">
+<span id="trackpy-refine"></span><h1>trackpy.refine<a class="headerlink" href="#module-trackpy.refine" title="Permalink to this heading">¶</a></h1>
+<p class="rubric">Modules</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="trackpy.refine.brightfield_ring.html#module-trackpy.refine.brightfield_ring" title="trackpy.refine.brightfield_ring"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.refine.brightfield_ring</span></code></a></p></td>
+<td><p>Detect particles in brightfield mode by tracking a ring of dark pixels around a bright interior part.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="trackpy.refine.center_of_mass.html#module-trackpy.refine.center_of_mass" title="trackpy.refine.center_of_mass"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.refine.center_of_mass</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="trackpy.refine.least_squares.html#module-trackpy.refine.least_squares" title="trackpy.refine.least_squares"><code class="xref py py-obj docutils literal notranslate"><span class="pre">trackpy.refine.least_squares</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</section>
+
+
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+      <a href="#">Back to top</a>
+      
+        <br/>
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+  <a href="../_sources/generated/trackpy.refine.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
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diff --git a/trackpy/v0.6.2/generated/trackpy.refine.least_squares.html b/trackpy/v0.6.2/generated/trackpy.refine.least_squares.html
new file mode 100644
index 00000000..97ee6af1
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.refine.least_squares.html
@@ -0,0 +1,257 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
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+  <section id="module-trackpy.refine.least_squares">
+<span id="trackpy-refine-least-squares"></span><h1>trackpy.refine.least_squares<a class="headerlink" href="#module-trackpy.refine.least_squares" title="Permalink to this heading">¶</a></h1>
+<p class="rubric">Functions</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">dimer</span></code>(dist[, ndim])</p></td>
+<td><p>Constraint setting clusters of 2 at a fixed distance.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">dimer_global</span></code>(mpp[, ndim])</p></td>
+<td><p>Constrain clusters of 2 to a constant, unknown distance.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">disc_fun</span></code>(r2, p, ndim)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">dr2_anisotropic_2d</span></code>(mesh, p)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">dr2_anisotropic_3d</span></code>(mesh, p)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">dr2_isotropic_2d</span></code>(mesh, p)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">dr2_isotropic_3d</span></code>(mesh, p)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">gauss_dfun</span></code>(r2, p, ndim)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">gauss_fun</span></code>(r2, p, ndim)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">ignore_clip_warnings</span></code>(func)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">inv_series_fun</span></code>(r2, p, ndim)</p></td>
+<td><p>p is a vector of arguments [mult, a, b, c, ...], defining the series: signal_mult / (1 + a r^2 + b r^4 + c r^6 + ...)</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">prepare_subimage</span></code>(coords, image, radius)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">prepare_subimages</span></code>(coords, groups, frame_nos, ...)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">r2_anisotropic_2d</span></code>(mesh, p)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">r2_anisotropic_2d_safe</span></code>(mesh, p)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">r2_anisotropic_3d</span></code>(mesh, p)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">r2_anisotropic_3d_safe</span></code>(mesh, p)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">r2_isotropic_2d</span></code>(mesh, p)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">r2_isotropic_2d_safe</span></code>(mesh, p)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">r2_isotropic_3d</span></code>(mesh, p)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">r2_isotropic_3d_safe</span></code>(mesh, p)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">refine_leastsq</span></code>(f, reader, diameter[, ...])</p></td>
+<td><p>Refines overlapping feature coordinates by least-squares fitting to radial model functions.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">ring_dfun</span></code>(r2, p, ndim)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">ring_fun</span></code>(r2, p, ndim)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">tetramer</span></code>(dist[, ndim])</p></td>
+<td><p>Constraint setting clusters of 4 at a fixed distance from each other.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">train_leastsq</span></code>(f, reader, diameter, ...[, ...])</p></td>
+<td><p>Obtain fit parameters from an image of well-separated features with known location, in order to be able to use them in <code class="docutils literal notranslate"><span class="pre">refine_leastsq</span></code>.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">trimer</span></code>(dist[, ndim])</p></td>
+<td><p>Constraint setting clusters of 3 at a fixed distance from each other.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">vect_from_params</span></code>(params, modes[, groups, ...])</p></td>
+<td><p>Convert an array of per-feature parameters into a vector for least squares optimization</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">vect_to_params</span></code>(vect, params, modes[, groups])</p></td>
+<td><p>Convert a vector from least squares optimization to an array of per-feature parameters.</p></td>
+</tr>
+</tbody>
+</table>
+<p class="rubric">Classes</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">FitFunctions</span></code>([fit_function, ndim, ...])</p></td>
+<td><p>Helper class maintaining fit functions and bounds.</p></td>
+</tr>
+</tbody>
+</table>
+<p class="rubric">Exceptions</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">RefineException</span></code></p></td>
+<td><p></p></td>
+</tr>
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+</table>
+</section>
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+  <section id="trackpy-refine-com">
+<h1>trackpy.refine_com<a class="headerlink" href="#trackpy-refine-com" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.refine_com">
+<span class="sig-prename descclassname"><span class="pre">trackpy.</span></span><span class="sig-name descname"><span class="pre">refine_com</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">raw_image</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">image</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">radius</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">coords</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_iterations</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">engine</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'auto'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shift_thresh</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.6</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">characterize</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pos_columns</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.refine_com" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find the center of mass of a bright feature starting from an estimate.</p>
+<p>Characterize the neighborhood of a local maximum, and iteratively
+hone in on its center-of-brightness.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><dl class="simple">
+<dt><strong>raw_image</strong><span class="classifier">array (any dimensions)</span></dt><dd><p>Image used for final characterization. Ideally, pixel values of
+this image are not rescaled, but it can also be identical to
+<code class="docutils literal notranslate"><span class="pre">image</span></code>.</p>
+</dd>
+<dt><strong>image</strong><span class="classifier">array (same size as raw_image)</span></dt><dd><p>Processed image used for centroid-finding and most particle
+measurements.</p>
+</dd>
+<dt><strong>coords</strong><span class="classifier">array or DataFrame</span></dt><dd><p>estimated position</p>
+</dd>
+<dt><strong>max_iterations</strong><span class="classifier">integer</span></dt><dd><p>max number of loops to refine the center of mass, default 10</p>
+</dd>
+<dt><strong>engine</strong><span class="classifier">{‘python’, ‘numba’}</span></dt><dd><p>Numba is faster if available, but it cannot do walkthrough.</p>
+</dd>
+<dt><strong>shift_thresh</strong><span class="classifier">float, optional</span></dt><dd><p>Default 0.6 (unit is pixels).
+If the brightness centroid is more than this far off the mask center,
+shift mask to neighboring pixel. The new mask will be used for any
+remaining iterations.</p>
+</dd>
+<dt><strong>characterize</strong><span class="classifier">boolean, True by default</span></dt><dd><p>Compute and return mass, size, eccentricity, signal.</p>
+</dd>
+<dt><strong>pos_columns: list of strings, optional</strong></dt><dd><p>Column names that contain the position coordinates.
+Defaults to <code class="docutils literal notranslate"><span class="pre">['y',</span> <span class="pre">'x']</span></code> or <code class="docutils literal notranslate"><span class="pre">['z',</span> <span class="pre">'y',</span> <span class="pre">'x']</span></code>, if <code class="docutils literal notranslate"><span class="pre">'z'</span></code> exists.</p>
+</dd>
+</dl>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><dl class="simple">
+<dt>DataFrame([x, y, mass, size, ecc, signal, raw_mass])</dt><dd><p>where “x, y” are appropriate to the dimensionality of the image,
+mass means total integrated brightness of the blob,
+size means the radius of gyration of its Gaussian-like profile,
+ecc is its eccentricity (0 is circular),
+and raw_mass is the total integrated brightness in raw_image.</p>
+</dd>
+</dl>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
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+  <section id="trackpy-refine-leastsq">
+<h1>trackpy.refine_leastsq<a class="headerlink" href="#trackpy-refine-leastsq" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.refine_leastsq">
+<span class="sig-prename descclassname"><span class="pre">trackpy.</span></span><span class="sig-name descname"><span class="pre">refine_leastsq</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">f</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reader</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">diameter</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">separation</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fit_function</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'gauss'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">param_mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">param_val</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">constraints</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bounds</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">compute_error</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pos_columns</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_column</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'frame'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_iter</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_shift</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_rms_dev</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">residual_factor</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100000.0</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.refine_leastsq" title="Permalink to this definition">¶</a></dt>
+<dd><p>Refines overlapping feature coordinates by least-squares fitting to
+radial model functions.</p>
+<p>This does not raise an error if minimization fails. Instead, coordinates
+are unchanged and the added column <code class="docutils literal notranslate"><span class="pre">cost</span></code> will contain <code class="docutils literal notranslate"><span class="pre">NaN</span></code>.</p>
+<dl class="field-list">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><dl>
+<dt><strong>f</strong><span class="classifier">DataFrame</span></dt><dd><p>pandas DataFrame containing coordinates of features.
+Required columns are the position columns (see <code class="docutils literal notranslate"><span class="pre">pos_columns</span></code>)</p>
+<p>Any fit parameter (which are at least ‘background’, ‘signal’ and ‘size’)
+that is not present should be either given as a standard value in the
+<code class="docutils literal notranslate"><span class="pre">param_val</span></code> argument, or be present as a <code class="docutils literal notranslate"><span class="pre">default</span></code> value in the used
+fit function.</p>
+<p>If a FramesSequence is supplied as a reader, the time column (see
+<code class="docutils literal notranslate"><span class="pre">t_column</span></code> is also required.</p>
+</dd>
+<dt><strong>reader</strong><span class="classifier">pims.FramesSequence, pims.Frame, or ndarray</span></dt><dd><p>A pims.FrameSequence is an object that returns an image when indexed. It
+also provides the <code class="docutils literal notranslate"><span class="pre">frame_shape</span></code> attribute. If not a FrameSequence is
+given a single image is assumed and all features that are present in
+<code class="docutils literal notranslate"><span class="pre">f</span></code> are assumed to be in that image.</p>
+</dd>
+<dt><strong>diameter</strong><span class="classifier">number or tuple</span></dt><dd><p>Determines the feature mask diameter that is used for the refinement.
+Use a tuple to account for anisotropic pixel sizes (e.g. <code class="docutils literal notranslate"><span class="pre">(7,</span> <span class="pre">11)</span></code>).</p>
+</dd>
+<dt><strong>separation</strong><span class="classifier">number or tuple, optional</span></dt><dd><p>Determines the distance below which features are considered in the same
+cluster. By default, equals <code class="docutils literal notranslate"><span class="pre">diameter</span></code>. As the model feature function
+is only defined up to <code class="docutils literal notranslate"><span class="pre">diameter</span></code>, it does not effect the refine
+results if this value is increased above <code class="docutils literal notranslate"><span class="pre">diameter</span></code>.</p>
+</dd>
+<dt><strong>fit_function</strong><span class="classifier">string or or dict, optional</span></dt><dd><p>The type of fit function. Either one of the default functions
+<code class="docutils literal notranslate"><span class="pre">{'gauss',</span> <span class="pre">'hat',</span> <span class="pre">'ring',</span> <span class="pre">'inv_series_&lt;number&gt;'}</span></code>, or a custom
+function defined using a dictionary. Defaults to <code class="docutils literal notranslate"><span class="pre">'gauss'</span></code>.</p>
+<p>The fit function is loosely defined as follows:</p>
+<div class="math notranslate nohighlight">
+\[ \begin{align}\begin{aligned}F(r, A, \sigma, \vec{p}) = B + A f(r, \vec{p})\\r^2 = \frac{x - c_x}{\sigma_x}^2 + \frac{y - c_y}{\sigma_y}^2\end{aligned}\end{align} \]</div>
+<p>In which <span class="math notranslate nohighlight">\(r\)</span> denotes the reduced distance to the feature center,
+<span class="math notranslate nohighlight">\(B\)</span> the background intensity of the image, <span class="math notranslate nohighlight">\(A\)</span> (‘signal’)
+the maximum value of the feature, <span class="math notranslate nohighlight">\(\vec{p}\)</span> a list of extra model
+parameters, <span class="math notranslate nohighlight">\(\sigma\)</span> (‘size’) the radial distance from the feature
+center at which the value of <span class="math notranslate nohighlight">\(f(r)\)</span> has decayed to
+<span class="math notranslate nohighlight">\(1/e \approx 0.37\)</span>, and <span class="math notranslate nohighlight">\(\vec{c}\)</span> the coordinate of the
+feature center.</p>
+<p>So <code class="docutils literal notranslate"><span class="pre">size</span></code> is smaller than the apparent radius of the feature.
+Typically, it is three to four times lower than the <code class="docutils literal notranslate"><span class="pre">diameter</span></code>.</p>
+<ul class="simple">
+<li><p>The <code class="docutils literal notranslate"><span class="pre">'gauss'</span></code> function is a Gaussian, without any extra parameter</p></li>
+<li><p>The <code class="docutils literal notranslate"><span class="pre">'hat'</span></code> function is solid disc of relative size <code class="docutils literal notranslate"><span class="pre">disc_size</span></code>,
+and gaussian smoothed borders.</p></li>
+<li><p>The <code class="docutils literal notranslate"><span class="pre">'ring'</span></code> model function is a displaced gaussian with parameter
+<code class="docutils literal notranslate"><span class="pre">thickness</span></code>.</p></li>
+<li><p>The <code class="docutils literal notranslate"><span class="pre">inv_series_&lt;number&gt;</span></code> model function is the inverse of an
+even polynomial containing <code class="docutils literal notranslate"><span class="pre">&lt;number&gt;</span></code> parameters
+(signal_mult / (1 + a r**2 + b r**4 + c r*2 + …) <code class="docutils literal notranslate"><span class="pre">signal_mult</span></code> is
+best chosen such that the maximum of the polynomial equals 1.</p></li>
+</ul>
+<p>Define your own model function with a dictionary, containing:</p>
+<ul>
+<li><p>params : list of str
+List of custom parameter names. The list has the same length as
+the <code class="docutils literal notranslate"><span class="pre">p</span></code> ndarray in <code class="docutils literal notranslate"><span class="pre">fun</span></code> and <code class="docutils literal notranslate"><span class="pre">dfun</span></code>. It does not include
+<code class="docutils literal notranslate"><span class="pre">background</span></code>, <code class="docutils literal notranslate"><span class="pre">signal</span></code>, or <code class="docutils literal notranslate"><span class="pre">size</span></code>.</p></li>
+<li><p>fun : callable
+The image model function. It takes arguments <code class="docutils literal notranslate"><span class="pre">(r2,</span> <span class="pre">p,</span> <span class="pre">ndim)</span></code>.</p>
+<ul class="simple">
+<li><dl class="simple">
+<dt><code class="docutils literal notranslate"><span class="pre">r2</span></code> is a 1d ndarray containing the squared reduced</dt><dd><p>radial distances (see the above definition).</p>
+</dd>
+</dl>
+</li>
+<li><p><code class="docutils literal notranslate"><span class="pre">p</span></code> is an array of extra feature parameters</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">ndim</span></code> is the number of dimensions in the image</p></li>
+</ul>
+<p>The function returns an ndarray of the same shape as <code class="docutils literal notranslate"><span class="pre">r2</span></code>,
+containing the feature intensity values up to a maximum of 1.</p>
+</li>
+<li><p>dfun : callable, optional
+The analytical derivative of the image model function <code class="docutils literal notranslate"><span class="pre">fun</span></code>.
+The function takes the same arguments as <code class="docutils literal notranslate"><span class="pre">fun</span></code>.</p>
+<p>It returns a length-two tuple, with the following elements:</p>
+<ol class="arabic simple">
+<li><p>(because of performance considerations)
+the image model function, exactly as returned by <code class="docutils literal notranslate"><span class="pre">fun</span></code></p></li>
+<li><p>the partial derivatives of <code class="docutils literal notranslate"><span class="pre">fun</span></code> in each point <code class="docutils literal notranslate"><span class="pre">r2</span></code> as a
+list of 1d ndarrays. The first element is the derivative with
+respect to <code class="docutils literal notranslate"><span class="pre">r2</span></code>, the following elements w.r.t. the custom
+shape parameters as defined in <code class="docutils literal notranslate"><span class="pre">params</span></code>. Hence, the number
+of elements in this list is <code class="docutils literal notranslate"><span class="pre">len(params)</span> <span class="pre">+</span> <span class="pre">1</span></code>.</p></li>
+</ol>
+</li>
+<li><p>default : dict, optional
+Default parameter values. For instance <code class="docutils literal notranslate"><span class="pre">dict(thickness=0.2)</span></code></p></li>
+<li><p>continuous : boolean, optional
+Default True. Set this to False if <span class="math notranslate nohighlight">\(f(|r|)\)</span> is not
+continuous at <span class="math notranslate nohighlight">\(r = 0\)</span>. In that case, all pixels closer
+than 1 pixel to the center will be ignored.</p></li>
+</ul>
+</dd>
+<dt><strong>param_mode</strong><span class="classifier">dict, optional</span></dt><dd><p>For each parameter, define whether it should be optimized or be
+kept constant. This also allows for constraining parameters to be equal
+within each cluster or equal for all frames.</p>
+<p>Each parameter can have one of the following values:</p>
+<ul class="simple">
+<li><p><code class="docutils literal notranslate"><span class="pre">'var'</span></code> : the parameter is allowed to vary for each feature independently</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">'const'</span></code> : the parameter is not allowed to vary</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">'cluster'</span></code> : the parameter is allowed to vary, but is equal
+within each cluster</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">'global'</span></code> : the parameter is allowed to vary, but is equal for
+each feature</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">'frame'</span></code> : Not yet implemented</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">'particle'</span></code> : Not yet implemented</p></li>
+</ul>
+<p>Default values for position coordinates and signal is <code class="docutils literal notranslate"><span class="pre">'var'</span></code>, for
+background <code class="docutils literal notranslate"><span class="pre">'cluster'</span></code> and for all others <code class="docutils literal notranslate"><span class="pre">'const'</span></code>. Background
+cannot vary within one cluster, as regions overlap.</p>
+</dd>
+<dt><strong>param_val</strong><span class="classifier">dict, optional</span></dt><dd><p>Default parameter values.</p>
+</dd>
+<dt><strong>constraints</strong><span class="classifier">tuple of dicts, optional</span></dt><dd><p>Provide constraints for the parameters that are optimized. Each
+constraint consists of a dictionary containing the following elements:</p>
+<ul class="simple">
+<li><p>type : str
+Constraint type: ‘eq’ for equality, which means that the constraint
+function result is to be zero. ‘ineq’ for inequality, which means
+that the constraint function result is to be greater than zero.</p></li>
+<li><p>fun : callable
+The function defining the constraint. The function is provided
+a 3d ndarray with on the axes (&lt;cluster&gt;, &lt;feature&gt;, &lt;parameter&gt;)
+parameters are (background, signal, &lt;pos&gt;, &lt;size&gt;, &lt;other&gt;).</p></li>
+<li><p>args : sequence, optional
+Extra arguments to be passed to the function.</p></li>
+<li><p>cluster_size : integer
+Size of the cluster to which the constraint applies</p></li>
+</ul>
+<p>The parameter array that is presented to the constraint function is
+slightly different from the 2D array of per-feature parameters used in
+<code class="docutils literal notranslate"><span class="pre">vect_from_params</span></code>, in the sense that that the first axis (axis 0) is
+extra.</p>
+<p>The 3D array of feature parameters that is presented to the constraint
+function is defined as follows:</p>
+<ul class="simple">
+<li><p>Axis 0, the grouping axis, which  mostly has a length of 1, but in the
+case that the features that are optimized at once belong to different
+clusters (e.g. 1 image with 10 dimers) the length of this axis is the
+number of clusters that are optimized together (in this example, 10).</p></li>
+<li><p>Axis 1, the feature axis, contains the individual features. In the example
+of 10 dimers, this axis would have a size of 2.</p></li>
+<li><p>Axis 2, the parameter axis, contains the parameters. The order is
+<code class="docutils literal notranslate"><span class="pre">['background',</span> <span class="pre">'signal',</span> <span class="pre">&lt;pos&gt;,</span> <span class="pre">&lt;size&gt;,</span> <span class="pre">&lt;extra&gt;]</span></code></p></li>
+</ul>
+</dd>
+<dt><strong>bounds: dict</strong></dt><dd><p>Bounds on parameters, in the following forms:</p>
+<ul class="simple">
+<li><p>Absolute bounds <code class="docutils literal notranslate"><span class="pre">{'x':</span> <span class="pre">[low,</span> <span class="pre">high]}</span></code></p></li>
+<li><p>Difference bounds, one-sided <code class="docutils literal notranslate"><span class="pre">{'x_abs':</span> <span class="pre">max_diff}</span></code></p></li>
+<li><p>Difference bounds, two-sided <code class="docutils literal notranslate"><span class="pre">{'x_abs':</span> <span class="pre">[max_diff_below,</span> <span class="pre">max_diff_above]}</span></code></p></li>
+<li><p>Relative bounds, one-sided <code class="docutils literal notranslate"><span class="pre">{'x_rel':</span> <span class="pre">max_fraction_below}</span></code></p></li>
+<li><p>Relative bounds, two-sided <code class="docutils literal notranslate"><span class="pre">{'x_rel':</span> <span class="pre">[max_fraction_below,</span> <span class="pre">max_fraction_above]}</span></code></p></li>
+</ul>
+<p>When the keyword <cite>pos</cite> is used, this will be distributed to all
+pos_columns (but direct values of each positions will have precedence)
+When the keyword <cite>size</cite> is used, this will be distributed to all sizes,
+in the case of anisotropic sizes (also, direct values have precedence)</p>
+<p>For example, <code class="docutils literal notranslate"><span class="pre">{'x':</span> <span class="pre">(2,</span> <span class="pre">6),</span> <span class="pre">'x_abs':</span> <span class="pre">(4,</span> <span class="pre">6),</span> <span class="pre">'x_rel':</span> <span class="pre">(1.5,</span> <span class="pre">2.5)</span></code>
+would limit the parameter <code class="docutils literal notranslate"><span class="pre">'x'</span></code> between 2 and 6, between <code class="docutils literal notranslate"><span class="pre">x-4</span></code> and
+<code class="docutils literal notranslate"><span class="pre">x+6</span></code>,  and between <code class="docutils literal notranslate"><span class="pre">x/1.5</span></code> and <code class="docutils literal notranslate"><span class="pre">x*2.5</span></code>. The narrowest bound is
+taken.</p>
+</dd>
+<dt><strong>compute_error</strong><span class="classifier">boolean, optional</span></dt><dd><p>Requires numdifftools to be installed. Default False.
+This is an experimental and untested feature that estimates the error
+in the optimized parameters on a per-feature basis from the curvature
+(diagonal elements of the Hessian) of the objective function in the
+optimized point.</p>
+</dd>
+<dt><strong>pos_columns: list of strings, optional</strong></dt><dd><p>Column names that contain the position coordinates.
+Defaults to <code class="docutils literal notranslate"><span class="pre">['y',</span> <span class="pre">'x']</span></code> or <code class="docutils literal notranslate"><span class="pre">['z',</span> <span class="pre">'y',</span> <span class="pre">'x']</span></code>, if <code class="docutils literal notranslate"><span class="pre">'z'</span></code> exists.</p>
+</dd>
+<dt><strong>t_column: string, optional</strong></dt><dd><p>Column name that denotes the frame index. Default <code class="docutils literal notranslate"><span class="pre">'frame'</span></code>.</p>
+</dd>
+<dt><strong>max_iter: int, optional</strong></dt><dd><p>Max number of whole-pixel shifts in refine. Default 10.</p>
+</dd>
+<dt><strong>max_shift: float, optional</strong></dt><dd><p>Maximum satisfactory out-of-center distance. When the fitted gaussian
+is more out of center, do extra iteration. Default 1.</p>
+</dd>
+<dt><strong>max_rms_dev</strong><span class="classifier">float, optional</span></dt><dd><p>Maximum root mean squared difference between the final fit and the
+(preprocessed) image, in units of the image maximum value. Default 1.</p>
+</dd>
+<dt><strong>residual_factor</strong><span class="classifier">float, optional</span></dt><dd><p>Factor with which the residual is multiplied, something internal inside
+SLSQP makes it work best with this set around 100000. (which is Default)</p>
+</dd>
+<dt><strong>kwargs</strong><span class="classifier">optional</span></dt><dd><p>other arguments are passed directly to scipy.minimize. Defaults are
+<code class="docutils literal notranslate"><span class="pre">dict(method='SLSQP',</span> <span class="pre">tol=1E-6,</span> <span class="pre">options=dict(maxiter=100,</span> <span class="pre">disp=False))</span></code></p>
+</dd>
+</dl>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><dl class="simple">
+<dt>DataFrame of refined coordinates. Added columns:</dt><dd></dd>
+</dl>
+<ul class="simple">
+<li><dl class="simple">
+<dt>‘cluster’: the cluster id of the feature.</dt><dd></dd>
+</dl>
+</li>
+<li><dl class="simple">
+<dt>‘cluster_size’: the size of the cluster to which the feature belongs</dt><dd></dd>
+</dl>
+</li>
+<li><dl class="simple">
+<dt>‘cost’: root mean squared difference between the final fit and</dt><dd><p>the (preprocessed) image, in units of the cluster maximum value. If the
+optimization fails, no error is raised feature fields are unchanged,
+and this field becomes NaN.</p>
+</dd>
+</dl>
+</li>
+<li><dl class="simple">
+<dt>(experimental) standard errors of variable parameters (‘x_std’, etc.) (only if compute_error is true)</dt><dd></dd>
+</dl>
+</li>
+</ul>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<dl class="simple">
+<dt><code class="xref py py-obj docutils literal notranslate"><span class="pre">FitFunctions</span></code>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">vect_from_params</span></code>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">vect_to_params</span></code>, <code class="xref py py-obj docutils literal notranslate"><span class="pre">wrap_constraint</span></code></dt><dd></dd>
+</dl>
+</div>
+<p class="rubric">Notes</p>
+<p>This feature is a recent addition to trackpy that is still in its
+experimental phase. Please report any issues you encounter on Github.</p>
+<p>If you use this specific algorithm for your scientific publications, please
+mention the accompanying publication <a class="reference internal" href="#r35bdcfe93ead-1" id="id1">[1]</a></p>
+<p class="rubric">References</p>
+<div role="list" class="citation-list">
+<div class="citation" id="r35bdcfe93ead-1" role="doc-biblioentry">
+<span class="label"><span class="fn-bracket">[</span><a role="doc-backlink" href="#id1">1</a><span class="fn-bracket">]</span></span>
+<p>van der Wel C., Kraft D.J. Automated tracking of colloidal clusters</p>
+</div>
+</div>
+<p>with sub-pixel accuracy and precision. J. Phys. Condens. Mat. 29:44001 (2017)
+DOI: <a class="reference external" href="http://dx.doi.org/10.1088/1361-648X/29/4/044001">http://dx.doi.org/10.1088/1361-648X/29/4/044001</a></p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.refine_leastsq.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.scatter.html b/trackpy/v0.6.2/generated/trackpy.scatter.html
new file mode 100644
index 00000000..5d079772
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.scatter.html
@@ -0,0 +1,183 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.scatter &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
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+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
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+          <span class="icon-bar"></span>
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+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
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+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
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+     id="dLabelLocalToc"
+     data-toggle="dropdown"
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+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.scatter</a></li>
+</ul>
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+</li>
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+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-scatter">
+<h1>trackpy.scatter<a class="headerlink" href="#trackpy-scatter" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.scatter">
+<span class="sig-prename descclassname"><span class="pre">trackpy.</span></span><span class="sig-name descname"><span class="pre">scatter</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">centroids</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mpp</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cmap</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ax</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pos_columns</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plot_style</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.scatter" title="Permalink to this definition">¶</a></dt>
+<dd><p>Scatter plot of all particles.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><dl class="simple">
+<dt><strong>centroids</strong><span class="classifier">DataFrame</span></dt><dd><p>The DataFrame should include time and spatial coordinate columns.</p>
+</dd>
+<dt><strong>mpp</strong><span class="classifier">float, optional</span></dt><dd><p>Microns per pixel. If omitted, the labels will have units of pixels.</p>
+</dd>
+<dt><strong>cmap</strong><span class="classifier">colormap, optional</span></dt><dd><p>This is only used in colorby=’frame’ mode. Default = mpl.cm.winter</p>
+</dd>
+<dt><strong>ax</strong><span class="classifier">matplotlib axes object, optional</span></dt><dd><p>Defaults to current axes</p>
+</dd>
+<dt><strong>pos_columns</strong><span class="classifier">list of strings, optional</span></dt><dd><p>Dataframe column names for spatial coordinates. Default is [‘x’, ‘y’].</p>
+</dd>
+</dl>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><dl class="simple">
+<dt>Axes object</dt><dd></dd>
+</dl>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<dl class="simple">
+<dt><a class="reference internal" href="trackpy.scatter3d.html#trackpy.scatter3d" title="trackpy.scatter3d"><code class="xref py py-obj docutils literal notranslate"><span class="pre">scatter3d</span></code></a></dt><dd><p>the 3D equivalent of <cite>scatter</cite></p>
+</dd>
+</dl>
+</div>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.scatter.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.scatter3d.html b/trackpy/v0.6.2/generated/trackpy.scatter3d.html
new file mode 100644
index 00000000..6585aa83
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.scatter3d.html
@@ -0,0 +1,183 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.scatter3d &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
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+    <link rel="next" title="trackpy.plot_traj3d" href="trackpy.plot_traj3d.html" />
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+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API reference</a></li>
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+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
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+     id="dLabelLocalToc"
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+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.scatter3d</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
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+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-scatter3d">
+<h1>trackpy.scatter3d<a class="headerlink" href="#trackpy-scatter3d" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.scatter3d">
+<span class="sig-prename descclassname"><span class="pre">trackpy.</span></span><span class="sig-name descname"><span class="pre">scatter3d</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.scatter3d" title="Permalink to this definition">¶</a></dt>
+<dd><p>The 3D equivalent of <cite>scatter</cite>.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><dl class="simple">
+<dt><strong>centroids</strong><span class="classifier">DataFrame</span></dt><dd><p>The DataFrame should include time and spatial coordinate columns.</p>
+</dd>
+<dt><strong>mpp</strong><span class="classifier">float, optional</span></dt><dd><p>Microns per pixel. If omitted, the labels will have units of pixels.</p>
+</dd>
+<dt><strong>cmap</strong><span class="classifier">colormap, optional</span></dt><dd><p>This is only used in colorby=’frame’ mode. Default = mpl.cm.winter</p>
+</dd>
+<dt><strong>ax</strong><span class="classifier">matplotlib axes object, optional</span></dt><dd><p>Defaults to current axes</p>
+</dd>
+<dt><strong>pos_columns</strong><span class="classifier">list of strings, optional</span></dt><dd><p>Dataframe column names for spatial coords. Default is [‘x’, ‘y’, ‘z’].</p>
+</dd>
+</dl>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><dl class="simple">
+<dt>Axes object</dt><dd></dd>
+</dl>
+</dd>
+</dl>
+<div class="admonition seealso">
+<p class="admonition-title">See also</p>
+<dl class="simple">
+<dt><a class="reference internal" href="trackpy.scatter.html#trackpy.scatter" title="trackpy.scatter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">scatter</span></code></a></dt><dd><p>the 2D equivalent of <cite>scatter3d</cite></p>
+</dd>
+</dl>
+</div>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.scatter3d.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
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+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.static.cluster.html b/trackpy/v0.6.2/generated/trackpy.static.cluster.html
new file mode 100644
index 00000000..ad4c2365
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.static.cluster.html
@@ -0,0 +1,177 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.static.cluster &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
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+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
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+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
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+     id="dLabelLocalToc"
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+<li><a class="reference internal" href="#">trackpy.static.cluster</a></li>
+</ul>
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+</li>
+              
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+            
+            
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+<div class="container">
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+      
+  <section id="trackpy-static-cluster">
+<h1>trackpy.static.cluster<a class="headerlink" href="#trackpy-static-cluster" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.static.cluster">
+<span class="sig-prename descclassname"><span class="pre">trackpy.static.</span></span><span class="sig-name descname"><span class="pre">cluster</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">f</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">separation</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pos_columns</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">t_column</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'frame'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.static.cluster" title="Permalink to this definition">¶</a></dt>
+<dd><p>Cluster features from one or several frames.</p>
+<p>A cluster is defined as the largest group of features of which each feature
+has at least one feature closer than <code class="docutils literal notranslate"><span class="pre">separation</span></code>.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><dl class="simple">
+<dt><strong>f: DataFrame</strong></dt><dd><p>pandas DataFrame containing pos_columns and t_column</p>
+</dd>
+<dt><strong>separation: number or tuple</strong></dt><dd><p>Separation distance below which particles are considered inside cluster</p>
+</dd>
+<dt><strong>pos_columns: list of strings, optional</strong></dt><dd><p>Column names that contain the position coordinates.
+Defaults to [‘y’, ‘x’] (or [‘z’, ‘y’, ‘x’] if ‘z’ exists)</p>
+</dd>
+<dt><strong>t_column: string</strong></dt><dd><p>Column name containing the frame number (Default: ‘frame’)</p>
+</dd>
+</dl>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><dl class="simple">
+<dt>Copy of <code class="docutils literal notranslate"><span class="pre">f</span></code> with added “cluster” and “cluster_size” column</dt><dd></dd>
+</dl>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
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+    <p class="pull-right">
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+  <a href="../_sources/generated/trackpy.static.cluster.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
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diff --git a/trackpy/v0.6.2/generated/trackpy.static.html b/trackpy/v0.6.2/generated/trackpy.static.html
new file mode 100644
index 00000000..286e2e53
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.static.html
@@ -0,0 +1,198 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.static &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
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+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
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+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
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+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.static</a></li>
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+          
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+<div class="container">
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+    <div class="body col-md-12 content" role="main">
+      
+  <section id="module-trackpy.static">
+<span id="trackpy-static"></span><h1>trackpy.static<a class="headerlink" href="#module-trackpy.static" title="Permalink to this heading">¶</a></h1>
+<p class="rubric">Functions</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">arclen_2d_bounded</span></code>(dist, pos, box)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">area_3d_bounded</span></code>(dist, pos, box)</p></td>
+<td><p>Calculated using the surface area of a sphere equidistant to a certain point.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">circle_cap_arclen</span></code>(h, r)</p></td>
+<td><p>Length of a circle arc of circle with radius R that is bounded by a straight line <cite>h</cite> from the origin.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">circle_corner_arclen</span></code>(h1, h2, r)</p></td>
+<td><p>Length of a circle arc of circle with radius R that is bounded by two perpendicular straight lines <cite>h1</cite> and <cite>h2</cite> from the origin.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="trackpy.static.cluster.html#trackpy.static.cluster" title="trackpy.static.cluster"><code class="xref py py-obj docutils literal notranslate"><span class="pre">cluster</span></code></a>(f, separation[, pos_columns, t_column])</p></td>
+<td><p>Cluster features from one or several frames.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">cluster_iter</span></code>(f, separation[, pos_columns, ...])</p></td>
+<td><p>Cluster features, returns generator iterating over frames.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="trackpy.static.pair_correlation_2d.html#trackpy.static.pair_correlation_2d" title="trackpy.static.pair_correlation_2d"><code class="xref py py-obj docutils literal notranslate"><span class="pre">pair_correlation_2d</span></code></a>(feat, cutoff[, ...])</p></td>
+<td><p>Calculate the pair correlation function in 2 dimensions.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="trackpy.static.pair_correlation_3d.html#trackpy.static.pair_correlation_3d" title="trackpy.static.pair_correlation_3d"><code class="xref py py-obj docutils literal notranslate"><span class="pre">pair_correlation_3d</span></code></a>(feat, cutoff[, ...])</p></td>
+<td><p>Calculate the pair correlation function in 3 dimensions.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="trackpy.static.proximity.html#trackpy.static.proximity" title="trackpy.static.proximity"><code class="xref py py-obj docutils literal notranslate"><span class="pre">proximity</span></code></a>(features[, pos_columns])</p></td>
+<td><p>Find the distance to each feature's nearest neighbor.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">sphere_cap_area</span></code>(h, r)</p></td>
+<td><p>Area of a sphere cap of sphere with radius R that is bounded by a flat plane <cite>h</cite> from the origin.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">sphere_corner_area</span></code>(x, y, z, r)</p></td>
+<td><p>Area of a sphere 'corner' of sphere with radius R that is bounded by three perpendicular flat planes <cite>h0</cite>, <cite>h1</cite>, <cite>h2</cite> from the origin.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">sphere_edge_area</span></code>(x, y, r)</p></td>
+<td><p>Area of a sphere 'edge' of sphere with radius R that is bounded by two perpendicular flat planes <cite>h0</cite>, <cite>h1</cite> from the origin.</p></td>
+</tr>
+</tbody>
+</table>
+<p class="rubric">Classes</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">Clusters</span></code>(indices)</p></td>
+<td><p>Class that clusters features.</p></td>
+</tr>
+</tbody>
+</table>
+</section>
+
+
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diff --git a/trackpy/v0.6.2/generated/trackpy.static.pair_correlation_2d.html b/trackpy/v0.6.2/generated/trackpy.static.pair_correlation_2d.html
new file mode 100644
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+  <section id="trackpy-static-pair-correlation-2d">
+<h1>trackpy.static.pair_correlation_2d<a class="headerlink" href="#trackpy-static-pair-correlation-2d" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.static.pair_correlation_2d">
+<span class="sig-prename descclassname"><span class="pre">trackpy.static.</span></span><span class="sig-name descname"><span class="pre">pair_correlation_2d</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feat</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fraction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dr</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p_indices</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ndensity</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">boundary</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">handle_edge</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_rel_ndensity</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.static.pair_correlation_2d" title="Permalink to this definition">¶</a></dt>
+<dd><p>Calculate the pair correlation function in 2 dimensions.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><dl class="simple">
+<dt><strong>feat</strong><span class="classifier">Pandas DataFrame</span></dt><dd><p>DataFrame containing the x and y coordinates of particles</p>
+</dd>
+<dt><strong>cutoff</strong><span class="classifier">float</span></dt><dd><p>Maximum distance to calculate g(r)</p>
+</dd>
+<dt><strong>fraction</strong><span class="classifier">float, optional</span></dt><dd><p>The fraction of particles to calculate g(r) with. May be used to
+increase speed of function. Particles selected at random.</p>
+</dd>
+<dt><strong>dr</strong><span class="classifier">float, optional</span></dt><dd><p>The bin width</p>
+</dd>
+<dt><strong>p_indices</strong><span class="classifier">list or ndarray, optional</span></dt><dd><p>Only consider a pair of particles if one of them is in ‘p_indices’.
+Uses zero-based indexing, regardless of how ‘feat’ is indexed.</p>
+</dd>
+<dt><strong>ndensity</strong><span class="classifier">float, optional</span></dt><dd><p>Density of particle packing. If not specified, density will be
+calculated assuming rectangular homogeneous arrangement.</p>
+</dd>
+<dt><strong>boundary</strong><span class="classifier">tuple, optional</span></dt><dd><p>Tuple specifying rectangular prism boundary of particles (xmin, xmax,
+ymin, ymax). Must be floats. Default is to assume a rectangular packing.
+Boundaries are determined by edge particles.</p>
+</dd>
+<dt><strong>handle_edge</strong><span class="classifier">boolean, optional</span></dt><dd><p>If true, compensate for reduced area around particles near the edges.</p>
+</dd>
+<dt><strong>max_rel_ndensity</strong><span class="classifier">number, optional</span></dt><dd><p>The relative maximum density deviation, used to estimate the maximum
+number of neighbours. Lower numbers increase performance, until the
+method fails because there are more neighbours than expected.</p>
+</dd>
+</dl>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><dl class="simple">
+<dt><strong>r_edges</strong><span class="classifier">array</span></dt><dd><p>The bin edges, with 1 more element than g_r.</p>
+</dd>
+<dt><strong>g_r</strong><span class="classifier">array</span></dt><dd><p>The values of g_r.</p>
+</dd>
+</dl>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
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+</div>
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+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
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\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.static.pair_correlation_3d.html b/trackpy/v0.6.2/generated/trackpy.static.pair_correlation_3d.html
new file mode 100644
index 00000000..8ec2d07c
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.static.pair_correlation_3d.html
@@ -0,0 +1,194 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
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+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
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+<li><a class="reference internal" href="#">trackpy.static.pair_correlation_3d</a></li>
+</ul>
+</ul>
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+              
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+  <section id="trackpy-static-pair-correlation-3d">
+<h1>trackpy.static.pair_correlation_3d<a class="headerlink" href="#trackpy-static-pair-correlation-3d" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.static.pair_correlation_3d">
+<span class="sig-prename descclassname"><span class="pre">trackpy.static.</span></span><span class="sig-name descname"><span class="pre">pair_correlation_3d</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">feat</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutoff</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fraction</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dr</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p_indices</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ndensity</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">boundary</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">handle_edge</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_rel_ndensity</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">10</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.static.pair_correlation_3d" title="Permalink to this definition">¶</a></dt>
+<dd><p>Calculate the pair correlation function in 3 dimensions.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><dl class="simple">
+<dt><strong>feat</strong><span class="classifier">Pandas DataFrame</span></dt><dd><p>DataFrame containing the x, y and z coordinates of particles</p>
+</dd>
+<dt><strong>cutoff</strong><span class="classifier">float</span></dt><dd><p>Maximum distance to calculate g(r)</p>
+</dd>
+<dt><strong>fraction</strong><span class="classifier">float, optional</span></dt><dd><p>The fraction of particles to calculate g(r) with. May be used to
+increase speed of function. Particles selected at random.</p>
+</dd>
+<dt><strong>dr</strong><span class="classifier">float, optional</span></dt><dd><p>The bin width</p>
+</dd>
+<dt><strong>p_indices</strong><span class="classifier">list or ndarray, optional</span></dt><dd><p>Only consider a pair of particles if one of them is in ‘p_indices’.
+Uses zero-based indexing, regardless of how ‘feat’ is indexed.</p>
+</dd>
+<dt><strong>ndensity</strong><span class="classifier">float, optional</span></dt><dd><p>Density of particle packing. If not specified, density will be
+calculated assuming rectangular homogeneous arrangement.</p>
+</dd>
+<dt><strong>boundary</strong><span class="classifier">tuple, optional</span></dt><dd><p>Tuple specifying rectangular boundary of particles (xmin, xmax,
+ymin, ymax, zmin, zmax). Must be floats. Default is to assume a
+rectangular packing. Boundaries are determined by edge particles.</p>
+</dd>
+<dt><strong>handle_edge</strong><span class="classifier">boolean, optional</span></dt><dd><p>If true, compensate for reduced volume around particles near the edges.</p>
+</dd>
+<dt><strong>max_rel_ndensity</strong><span class="classifier">number, optional</span></dt><dd><p>The relative maximum density deviation, used to estimate the maximum
+number of neighbours. Lower numbers increase performance, until the
+method fails because there are more neighbours than expected.</p>
+</dd>
+</dl>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><dl class="simple">
+<dt><strong>r_edges</strong><span class="classifier">array</span></dt><dd><p>The bin edges, with 1 more element than g_r.</p>
+</dd>
+<dt><strong>g_r</strong><span class="classifier">array</span></dt><dd><p>The values of g_r.</p>
+</dd>
+</dl>
+</dd>
+</dl>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.static.pair_correlation_3d.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
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\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.static.proximity.html b/trackpy/v0.6.2/generated/trackpy.static.proximity.html
new file mode 100644
index 00000000..559131a4
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.static.proximity.html
@@ -0,0 +1,182 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.static.proximity &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
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+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
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+                <li><a href="../tutorial.html">Tutorial</a></li>
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+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
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+<li><a class="reference internal" href="#">trackpy.static.proximity</a></li>
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+</li>
+              
+            
+            
+            
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+
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+<form class="navbar-form navbar-right" action="../search.html" method="get">
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+  <input type="hidden" name="area" value="default" />
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+          
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+    </div>
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+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-static-proximity">
+<h1>trackpy.static.proximity<a class="headerlink" href="#trackpy-static-proximity" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.static.proximity">
+<span class="sig-prename descclassname"><span class="pre">trackpy.static.</span></span><span class="sig-name descname"><span class="pre">proximity</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">features</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pos_columns</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.static.proximity" title="Permalink to this definition">¶</a></dt>
+<dd><p>Find the distance to each feature’s nearest neighbor.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><dl class="simple">
+<dt><strong>features</strong><span class="classifier">DataFrame</span></dt><dd></dd>
+<dt><strong>pos_columns</strong><span class="classifier">list of column names</span></dt><dd><p>[‘x’, ‘y’] by default</p>
+</dd>
+</dl>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><dl class="simple">
+<dt><strong>proximity</strong><span class="classifier">DataFrame</span></dt><dd><p>distance to each particle’s nearest neighbor,
+indexed by particle if ‘particle’ column is present in input</p>
+</dd>
+</dl>
+</dd>
+</dl>
+<p class="rubric">Examples</p>
+<p>Find the proximity of each particle to its nearest neighbor in every frame.</p>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">prox</span> <span class="o">=</span> <span class="n">t</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s1">&#39;frame&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="n">proximity</span><span class="p">)</span><span class="o">.</span><span class="n">reset_index</span><span class="p">()</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">avg_prox</span> <span class="o">=</span> <span class="n">prox</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s1">&#39;particle&#39;</span><span class="p">)[</span><span class="s1">&#39;proximity&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">mean</span><span class="p">()</span>
+</pre></div>
+</div>
+<p>And filter the trajectories…</p>
+<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">particle_nos</span> <span class="o">=</span> <span class="n">avg_prox</span><span class="p">[</span><span class="n">avg_prox</span> <span class="o">&gt;</span> <span class="mi">20</span><span class="p">]</span><span class="o">.</span><span class="n">index</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="n">t_filtered</span> <span class="o">=</span> <span class="n">t</span><span class="p">[</span><span class="n">t</span><span class="p">[</span><span class="s1">&#39;particle&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">isin</span><span class="p">(</span><span class="n">particle_nos</span><span class="p">)]</span>
+</pre></div>
+</div>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.static.proximity.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.subpx_bias.html b/trackpy/v0.6.2/generated/trackpy.subpx_bias.html
new file mode 100644
index 00000000..14e070e8
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.subpx_bias.html
@@ -0,0 +1,166 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.subpx_bias &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+    <link rel="next" title="trackpy.plot_density_profile" href="trackpy.plot_density_profile.html" />
+    <link rel="prev" title="trackpy.plot_displacements" href="trackpy.plot_displacements.html" />
+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
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+          <span class="icon-bar"></span>
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+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
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+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
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+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">trackpy.subpx_bias</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
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+          
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+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="trackpy-subpx-bias">
+<h1>trackpy.subpx_bias<a class="headerlink" href="#trackpy-subpx-bias" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.subpx_bias">
+<span class="sig-prename descclassname"><span class="pre">trackpy.</span></span><span class="sig-name descname"><span class="pre">subpx_bias</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">f</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pos_columns</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.subpx_bias" title="Permalink to this definition">¶</a></dt>
+<dd><p>Histogram the fractional part of the x and y position.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><dl class="simple">
+<dt><strong>f</strong><span class="classifier">DataFrame</span></dt><dd></dd>
+<dt><strong>pos_columns</strong><span class="classifier">list of column names, optional</span></dt><dd></dd>
+</dl>
+</dd>
+</dl>
+<p class="rubric">Notes</p>
+<p>If subpixel accuracy is good, this should be flat. If it depressed in the
+middle, try using a larger value for feature diameter.</p>
+</dd></dl>
+
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/generated/trackpy.subpx_bias.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.tracking.html b/trackpy/v0.6.2/generated/trackpy.tracking.html
new file mode 100644
index 00000000..21ca8762
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.tracking.html
@@ -0,0 +1,149 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.tracking &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
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+    <script src="../_static/jquery.js"></script>
+    <script src="../_static/underscore.js"></script>
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+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+    <link rel="next" title="trackpy.try_numba" href="trackpy.try_numba.html" />
+    <link rel="prev" title="trackpy.static" href="trackpy.static.html" />
+<meta charset='utf-8'>
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+    <div class="container">
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+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
+            
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+              <li class="dropdown globaltoc-container">
+  <a role="button"
+     id="dLabelGlobalToc"
+     data-toggle="dropdown"
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+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
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+<span id="trackpy-tracking"></span><h1>trackpy.tracking<a class="headerlink" href="#module-trackpy.tracking" title="Permalink to this heading">¶</a></h1>
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diff --git a/trackpy/v0.6.2/generated/trackpy.try_numba.html b/trackpy/v0.6.2/generated/trackpy.try_numba.html
new file mode 100644
index 00000000..3d42d5e9
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@@ -0,0 +1,171 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.try_numba &#8212; trackpy 0.6.2 documentation</title>
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+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
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+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
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+      
+  <section id="module-trackpy.try_numba">
+<span id="trackpy-try-numba"></span><h1>trackpy.try_numba<a class="headerlink" href="#module-trackpy.try_numba" title="Permalink to this heading">¶</a></h1>
+<p class="rubric">Functions</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">disable_numba</span></code>()</p></td>
+<td><p>Do not use numba-accelerated functions, even if numba is available.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">enable_numba</span></code>()</p></td>
+<td><p>Use numba-accelerated variants of core functions.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">try_numba_jit</span></code>([func])</p></td>
+<td><p>Wrapper for numba.jit() that treats the function as pure Python if numba is missing.</p></td>
+</tr>
+</tbody>
+</table>
+<p class="rubric">Classes</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">RegisteredFunction</span></code>(func[, fallback, jit_kwargs])</p></td>
+<td><p>Enable toggling between original function and numba-compiled one.</p></td>
+</tr>
+</tbody>
+</table>
+</section>
+
+
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+      
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+  <a href="../_sources/generated/trackpy.try_numba.rst.txt"
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+</div>
+      
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+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
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diff --git a/trackpy/v0.6.2/generated/trackpy.uncertainty.html b/trackpy/v0.6.2/generated/trackpy.uncertainty.html
new file mode 100644
index 00000000..20188ddd
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.uncertainty.html
@@ -0,0 +1,160 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.uncertainty &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
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+<li class="toctree-l1"><a class="reference internal" href="../tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
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+  <section id="module-trackpy.uncertainty">
+<span id="trackpy-uncertainty"></span><h1>trackpy.uncertainty<a class="headerlink" href="#module-trackpy.uncertainty" title="Permalink to this heading">¶</a></h1>
+<p class="rubric">Functions</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">measure_noise</span></code>(image_bp, image_raw, radius)</p></td>
+<td><p>Compute the mean and standard deviation of the dark pixels outside the signal.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">static_error</span></code>(features, noise, diameter[, ...])</p></td>
+<td><p>Compute the uncertainty in particle position (&quot;the static error&quot;).</p></td>
+</tr>
+</tbody>
+</table>
+</section>
+
+
+    </div>
+      
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+</div>
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+      
+        <br/>
+        
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+  <a href="../_sources/generated/trackpy.uncertainty.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
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\ No newline at end of file
diff --git a/trackpy/v0.6.2/generated/trackpy.utils.fit_powerlaw.html b/trackpy/v0.6.2/generated/trackpy.utils.fit_powerlaw.html
new file mode 100644
index 00000000..24be9af7
--- /dev/null
+++ b/trackpy/v0.6.2/generated/trackpy.utils.fit_powerlaw.html
@@ -0,0 +1,155 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>trackpy.utils.fit_powerlaw &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
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+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
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+  <section id="trackpy-utils-fit-powerlaw">
+<h1>trackpy.utils.fit_powerlaw<a class="headerlink" href="#trackpy-utils-fit-powerlaw" title="Permalink to this heading">¶</a></h1>
+<dl class="py function">
+<dt class="sig sig-object py" id="trackpy.utils.fit_powerlaw">
+<span class="sig-prename descclassname"><span class="pre">trackpy.utils.</span></span><span class="sig-name descname"><span class="pre">fit_powerlaw</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plot</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#trackpy.utils.fit_powerlaw" title="Permalink to this definition">¶</a></dt>
+<dd><p>Fit a powerlaw by doing a linear regression in log space.</p>
+</dd></dl>
+
+</section>
+
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+      
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diff --git a/trackpy/v0.6.2/generated/trackpy.utils.html b/trackpy/v0.6.2/generated/trackpy.utils.html
new file mode 100644
index 00000000..bf561fef
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+<!DOCTYPE html>
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+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
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+    <title>trackpy.utils &#8212; trackpy 0.6.2 documentation</title>
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+<li class="toctree-l1"><a class="reference internal" href="../tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../tutorial/on-disk.html">Streaming</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
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+      
+  <section id="module-trackpy.utils">
+<span id="trackpy-utils"></span><h1>trackpy.utils<a class="headerlink" href="#module-trackpy.utils" title="Permalink to this heading">¶</a></h1>
+<p class="rubric">Functions</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">catch_keyboard_interrupt</span></code>(gen[, logger])</p></td>
+<td><p>A generator that stops on a KeyboardInterrupt</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">default_pos_columns</span></code>(ndim)</p></td>
+<td><p>Sets the default position column names</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">default_size_columns</span></code>(ndim, isotropic)</p></td>
+<td><p>Sets the default size column names</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">extract</span></code>(pattern, string, group[, convert])</p></td>
+<td><p>Extract a pattern from a string.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="trackpy.utils.fit_powerlaw.html#trackpy.utils.fit_powerlaw" title="trackpy.utils.fit_powerlaw"><code class="xref py py-obj docutils literal notranslate"><span class="pre">fit_powerlaw</span></code></a>(data[, plot])</p></td>
+<td><p>Fit a powerlaw by doing a linear regression in log space.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_pool</span></code>(processes)</p></td>
+<td><p>Returns the appropriate pool and map functions if multiprocessing needs to be used, otherwise None, map.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">guess_pos_columns</span></code>(f)</p></td>
+<td><p>Guess the position columns from a given feature DataFrame</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">handle_logging</span></code>()</p></td>
+<td><p>Send INFO-level log messages to stdout.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">ignore_logging</span></code>()</p></td>
+<td><p>Reset to factory default logging configuration; remove trackpy's handler.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_isotropic</span></code>(value)</p></td>
+<td><p>Determine whether all elements of a value are equal</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">lazy_timestamp</span></code>(partial_timestamp)</p></td>
+<td><p>Regularize a lazy timestamp like '0:37' -&gt; '00:00:37'.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">make_pandas_strict</span></code>()</p></td>
+<td><p>Configure Pandas to raise an exception for &quot;chained assignments.&quot;</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">pandas_concat</span></code>(*args, **kwargs)</p></td>
+<td><p>Pass sort = False.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">pandas_sort</span></code>(df, by, *args, **kwargs)</p></td>
+<td><p>Use sort_values() to sort a DataFrame This raises a ValueError if the given value is both a column and an index label, i.e.: ValueError: 'frame' is both an index level and a column label, which is ambiguous.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">quiet</span></code>([suppress])</p></td>
+<td><p>Suppress trackpy information log messages.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">random_walk</span></code>(N)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">record_meta</span></code>(meta_data, file_obj)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">safe_exp</span></code>(arr)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">stats_mode_scalar</span></code>(a)</p></td>
+<td><p>Returns a scalar from scipy.stats.mode().</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">suppress_plotting</span></code>()</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">time_interval</span></code>(raw)</p></td>
+<td><p>Convert a time interval string into a timedelta type.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">timedelta_to_frame</span></code>(timedeltas, fps)</p></td>
+<td><p>Convert timedelta times into frame numbers.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">timestamp</span></code>(ts_string)</p></td>
+<td><p>Convert a timestamp string to a datetime type.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">validate_tuple</span></code>(value, ndim)</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+<p class="rubric">Classes</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">IPythonStreamHandler</span></code>([stream])</p></td>
+<td><p>A StreamHandler for logging that clears output between entries.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">ReaderCached</span></code>(reader)</p></td>
+<td><p>Simple wrapper that provides cacheing of image readers</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">memo</span></code>(func)</p></td>
+<td><p>Decorator.</p></td>
+</tr>
+</tbody>
+</table>
+</section>
+
+
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+      
+  </div>
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+<footer class="footer">
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+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
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diff --git a/trackpy/v0.6.2/genindex.html b/trackpy/v0.6.2/genindex.html
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+<li class="toctree-l1"><a class="reference internal" href="tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/adaptive-search.html">Adaptive Linking</a></li>
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+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"></ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+
+<h1 id="index">Index</h1>
+
+<div class="genindex-jumpbox">
+ <a href="#A"><strong>A</strong></a>
+ | <a href="#B"><strong>B</strong></a>
+ | <a href="#C"><strong>C</strong></a>
+ | <a href="#D"><strong>D</strong></a>
+ | <a href="#E"><strong>E</strong></a>
+ | <a href="#F"><strong>F</strong></a>
+ | <a href="#G"><strong>G</strong></a>
+ | <a href="#H"><strong>H</strong></a>
+ | <a href="#I"><strong>I</strong></a>
+ | <a href="#L"><strong>L</strong></a>
+ | <a href="#M"><strong>M</strong></a>
+ | <a href="#N"><strong>N</strong></a>
+ | <a href="#O"><strong>O</strong></a>
+ | <a href="#P"><strong>P</strong></a>
+ | <a href="#Q"><strong>Q</strong></a>
+ | <a href="#R"><strong>R</strong></a>
+ | <a href="#S"><strong>S</strong></a>
+ | <a href="#T"><strong>T</strong></a>
+ | <a href="#V"><strong>V</strong></a>
+ | <a href="#W"><strong>W</strong></a>
+ | <a href="#X"><strong>X</strong></a>
+ 
+</div>
+<h2 id="A">A</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="generated/trackpy.annotate.html#trackpy.annotate">annotate() (in module trackpy)</a>
+</li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="generated/trackpy.annotate3d.html#trackpy.annotate3d">annotate3d() (in module trackpy)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+<h2 id="B">B</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="generated/trackpy.preprocessing.bandpass.html#trackpy.preprocessing.bandpass">bandpass() (in module trackpy.preprocessing)</a>
+</li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="generated/trackpy.batch.html#trackpy.batch">batch() (in module trackpy)</a>
+</li>
+      <li><a href="generated/trackpy.masks.binary_mask.html#trackpy.masks.binary_mask">binary_mask() (in module trackpy.masks)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+<h2 id="C">C</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="generated/trackpy.predict.ChannelPredict.html#trackpy.predict.ChannelPredict">ChannelPredict (class in trackpy.predict)</a>
+</li>
+      <li><a href="generated/trackpy.FramewiseData.close.html#trackpy.FramewiseData.close">close() (trackpy.FramewiseData method)</a>
+
+      <ul>
+        <li><a href="generated/trackpy.PandasHDFStore.close.html#trackpy.PandasHDFStore.close">(trackpy.PandasHDFStore method)</a>
+</li>
+        <li><a href="generated/trackpy.PandasHDFStoreBig.close.html#trackpy.PandasHDFStoreBig.close">(trackpy.PandasHDFStoreBig method)</a>
+</li>
+        <li><a href="generated/trackpy.PandasHDFStoreSingleNode.close.html#trackpy.PandasHDFStoreSingleNode.close">(trackpy.PandasHDFStoreSingleNode method)</a>
+</li>
+      </ul></li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="generated/trackpy.static.cluster.html#trackpy.static.cluster">cluster() (in module trackpy.static)</a>
+</li>
+      <li><a href="generated/trackpy.motion.compute_drift.html#trackpy.motion.compute_drift">compute_drift() (in module trackpy.motion)</a>
+</li>
+      <li><a href="generated/trackpy.preprocessing.convert_to_int.html#trackpy.preprocessing.convert_to_int">convert_to_int() (in module trackpy.preprocessing)</a>
+</li>
+      <li><a href="generated/trackpy.masks.cosmask.html#trackpy.masks.cosmask">cosmask() (in module trackpy.masks)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+<h2 id="D">D</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="generated/trackpy.diag.dependencies.html#trackpy.diag.dependencies">dependencies() (in module trackpy.diag)</a>
+</li>
+      <li><a href="generated/trackpy.motion.diagonal_size.html#trackpy.motion.diagonal_size">diagonal_size() (in module trackpy.motion)</a>
+</li>
+      <li><a href="generated/trackpy.motion.direction_corr.html#trackpy.motion.direction_corr">direction_corr() (in module trackpy.motion)</a>
+</li>
+      <li><a href="generated/trackpy.disable_numba.html#trackpy.disable_numba">disable_numba() (in module trackpy)</a>
+</li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="generated/trackpy.predict.DriftPredict.html#trackpy.predict.DriftPredict">DriftPredict (class in trackpy.predict)</a>
+</li>
+      <li><a href="generated/trackpy.FramewiseData.dump.html#trackpy.FramewiseData.dump">dump() (trackpy.FramewiseData method)</a>
+
+      <ul>
+        <li><a href="generated/trackpy.PandasHDFStore.dump.html#trackpy.PandasHDFStore.dump">(trackpy.PandasHDFStore method)</a>
+</li>
+        <li><a href="generated/trackpy.PandasHDFStoreBig.dump.html#trackpy.PandasHDFStoreBig.dump">(trackpy.PandasHDFStoreBig method)</a>
+</li>
+        <li><a href="generated/trackpy.PandasHDFStoreSingleNode.dump.html#trackpy.PandasHDFStoreSingleNode.dump">(trackpy.PandasHDFStoreSingleNode method)</a>
+</li>
+      </ul></li>
+  </ul></td>
+</tr></table>
+
+<h2 id="E">E</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="generated/trackpy.motion.emsd.html#trackpy.motion.emsd">emsd() (in module trackpy.motion)</a>
+</li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="generated/trackpy.enable_numba.html#trackpy.enable_numba">enable_numba() (in module trackpy)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+<h2 id="F">F</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="generated/trackpy.filtering.filter_clusters.html#trackpy.filtering.filter_clusters">filter_clusters() (in module trackpy.filtering)</a>
+</li>
+      <li><a href="generated/trackpy.filtering.filter_stubs.html#trackpy.filtering.filter_stubs">filter_stubs() (in module trackpy.filtering)</a>
+</li>
+      <li><a href="generated/trackpy.find_link.html#trackpy.find_link">find_link() (in module trackpy)</a>
+
+      <ul>
+        <li><a href="generated/trackpy.linking.find_link.html#trackpy.linking.find_link">(in module trackpy.linking)</a>
+</li>
+      </ul></li>
+      <li><a href="generated/trackpy.utils.fit_powerlaw.html#trackpy.utils.fit_powerlaw">fit_powerlaw() (in module trackpy.utils)</a>
+</li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="generated/trackpy.FramewiseData.frames.html#trackpy.FramewiseData.frames">frames (trackpy.FramewiseData property)</a>
+
+      <ul>
+        <li><a href="generated/trackpy.PandasHDFStore.frames.html#trackpy.PandasHDFStore.frames">(trackpy.PandasHDFStore property)</a>
+</li>
+        <li><a href="generated/trackpy.PandasHDFStoreBig.frames.html#trackpy.PandasHDFStoreBig.frames">(trackpy.PandasHDFStoreBig property)</a>
+</li>
+        <li><a href="generated/trackpy.PandasHDFStoreSingleNode.frames.html#trackpy.PandasHDFStoreSingleNode.frames">(trackpy.PandasHDFStoreSingleNode property)</a>
+</li>
+      </ul></li>
+      <li><a href="generated/trackpy.FramewiseData.html#trackpy.FramewiseData">FramewiseData (class in trackpy)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+<h2 id="G">G</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="generated/trackpy.masks.gaussian_kernel.html#trackpy.masks.gaussian_kernel">gaussian_kernel() (in module trackpy.masks)</a>
+</li>
+      <li><a href="generated/trackpy.FramewiseData.get.html#trackpy.FramewiseData.get">get() (trackpy.FramewiseData method)</a>
+
+      <ul>
+        <li><a href="generated/trackpy.PandasHDFStore.get.html#trackpy.PandasHDFStore.get">(trackpy.PandasHDFStore method)</a>
+</li>
+        <li><a href="generated/trackpy.PandasHDFStoreBig.get.html#trackpy.PandasHDFStoreBig.get">(trackpy.PandasHDFStoreBig method)</a>
+</li>
+        <li><a href="generated/trackpy.PandasHDFStoreSingleNode.get.html#trackpy.PandasHDFStoreSingleNode.get">(trackpy.PandasHDFStoreSingleNode method)</a>
+</li>
+      </ul></li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="generated/trackpy.grey_dilation.html#trackpy.grey_dilation">grey_dilation() (in module trackpy)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+<h2 id="H">H</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="generated/trackpy.handle_logging.html#trackpy.handle_logging">handle_logging() (in module trackpy)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+<h2 id="I">I</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="generated/trackpy.ignore_logging.html#trackpy.ignore_logging">ignore_logging() (in module trackpy)</a>
+</li>
+      <li><a href="generated/trackpy.motion.imsd.html#trackpy.motion.imsd">imsd() (in module trackpy.motion)</a>
+</li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="generated/trackpy.predict.instrumented.html#trackpy.predict.instrumented">instrumented() (in module trackpy.predict)</a>
+</li>
+      <li><a href="generated/trackpy.preprocessing.invert_image.html#trackpy.preprocessing.invert_image">invert_image() (in module trackpy.preprocessing)</a>
+</li>
+      <li><a href="generated/trackpy.motion.is_typical.html#trackpy.motion.is_typical">is_typical() (in module trackpy.motion)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+<h2 id="L">L</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="generated/trackpy.link.html#trackpy.link">link() (in module trackpy)</a>
+</li>
+      <li><a href="generated/trackpy.predict.ChannelPredict.link_df.html#trackpy.predict.ChannelPredict.link_df">link_df() (trackpy.predict.ChannelPredict method)</a>
+
+      <ul>
+        <li><a href="generated/trackpy.predict.DriftPredict.link_df.html#trackpy.predict.DriftPredict.link_df">(trackpy.predict.DriftPredict method)</a>
+</li>
+        <li><a href="generated/trackpy.predict.NearestVelocityPredict.link_df.html#trackpy.predict.NearestVelocityPredict.link_df">(trackpy.predict.NearestVelocityPredict method)</a>
+</li>
+        <li><a href="generated/trackpy.predict.NullPredict.link_df.html#trackpy.predict.NullPredict.link_df">(trackpy.predict.NullPredict method)</a>
+</li>
+      </ul></li>
+      <li><a href="generated/trackpy.link_df_iter.html#trackpy.link_df_iter">link_df_iter() (in module trackpy)</a>
+
+      <ul>
+        <li><a href="generated/trackpy.predict.ChannelPredict.link_df_iter.html#trackpy.predict.ChannelPredict.link_df_iter">(trackpy.predict.ChannelPredict method)</a>
+</li>
+        <li><a href="generated/trackpy.predict.DriftPredict.link_df_iter.html#trackpy.predict.DriftPredict.link_df_iter">(trackpy.predict.DriftPredict method)</a>
+</li>
+        <li><a href="generated/trackpy.predict.NearestVelocityPredict.link_df_iter.html#trackpy.predict.NearestVelocityPredict.link_df_iter">(trackpy.predict.NearestVelocityPredict method)</a>
+</li>
+        <li><a href="generated/trackpy.predict.NullPredict.link_df_iter.html#trackpy.predict.NullPredict.link_df_iter">(trackpy.predict.NullPredict method)</a>
+</li>
+      </ul></li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="generated/trackpy.link_iter.html#trackpy.link_iter">link_iter() (in module trackpy)</a>
+</li>
+      <li><a href="generated/trackpy.link_partial.html#trackpy.link_partial">link_partial() (in module trackpy)</a>
+</li>
+      <li><a href="generated/trackpy.locate.html#trackpy.locate">locate() (in module trackpy)</a>
+</li>
+      <li><a href="generated/trackpy.preprocessing.lowpass.html#trackpy.preprocessing.lowpass">lowpass() (in module trackpy.preprocessing)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+<h2 id="M">M</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="generated/trackpy.masks.mask_image.html#trackpy.masks.mask_image">mask_image() (in module trackpy.masks)</a>
+</li>
+      <li><a href="generated/trackpy.mass_ecc.html#trackpy.mass_ecc">mass_ecc() (in module trackpy)</a>
+</li>
+      <li><a href="generated/trackpy.mass_size.html#trackpy.mass_size">mass_size() (in module trackpy)</a>
+</li>
+      <li><a href="generated/trackpy.FramewiseData.max_frame.html#trackpy.FramewiseData.max_frame">max_frame (trackpy.FramewiseData property)</a>
+
+      <ul>
+        <li><a href="generated/trackpy.PandasHDFStore.max_frame.html#trackpy.PandasHDFStore.max_frame">(trackpy.PandasHDFStore property)</a>
+</li>
+        <li><a href="generated/trackpy.PandasHDFStoreBig.max_frame.html#trackpy.PandasHDFStoreBig.max_frame">(trackpy.PandasHDFStoreBig property)</a>
+</li>
+        <li><a href="generated/trackpy.PandasHDFStoreSingleNode.max_frame.html#trackpy.PandasHDFStoreSingleNode.max_frame">(trackpy.PandasHDFStoreSingleNode property)</a>
+</li>
+      </ul></li>
+      <li><a href="generated/trackpy.motion.min_rolling_theta_entropy.html#trackpy.motion.min_rolling_theta_entropy">min_rolling_theta_entropy() (in module trackpy.motion)</a>
+</li>
+      <li><a href="generated/trackpy.minmass_v03_change.html#trackpy.minmass_v03_change">minmass_v03_change() (in module trackpy)</a>
+</li>
+      <li><a href="generated/trackpy.minmass_v04_change.html#trackpy.minmass_v04_change">minmass_v04_change() (in module trackpy)</a>
+</li>
+      <li>
+    module
+
+      <ul>
+        <li><a href="generated/trackpy.html#module-trackpy">trackpy</a>
+</li>
+        <li><a href="generated/trackpy.api.html#module-trackpy.api">trackpy.api</a>
+</li>
+        <li><a href="generated/trackpy.artificial.html#module-trackpy.artificial">trackpy.artificial</a>
+</li>
+        <li><a href="generated/trackpy.diag.html#module-trackpy.diag">trackpy.diag</a>
+</li>
+        <li><a href="generated/trackpy.feature.html#module-trackpy.feature">trackpy.feature</a>
+</li>
+        <li><a href="generated/trackpy.filtering.html#module-trackpy.filtering">trackpy.filtering</a>
+</li>
+        <li><a href="generated/trackpy.find.html#module-trackpy.find">trackpy.find</a>
+</li>
+        <li><a href="generated/trackpy.framewise_data.html#module-trackpy.framewise_data">trackpy.framewise_data</a>
+</li>
+        <li><a href="generated/trackpy.linking.html#module-trackpy.linking">trackpy.linking</a>
+</li>
+        <li><a href="generated/trackpy.linking.legacy.html#module-trackpy.linking.legacy">trackpy.linking.legacy</a>
+</li>
+        <li><a href="generated/trackpy.linking.linking.html#module-trackpy.linking.linking">trackpy.linking.linking</a>
+</li>
+        <li><a href="generated/trackpy.linking.partial.html#module-trackpy.linking.partial">trackpy.linking.partial</a>
+</li>
+        <li><a href="generated/trackpy.linking.subnet.html#module-trackpy.linking.subnet">trackpy.linking.subnet</a>
+</li>
+        <li><a href="generated/trackpy.linking.subnetlinker.html#module-trackpy.linking.subnetlinker">trackpy.linking.subnetlinker</a>
+</li>
+        <li><a href="generated/trackpy.linking.utils.html#module-trackpy.linking.utils">trackpy.linking.utils</a>
+</li>
+        <li><a href="generated/trackpy.locate_functions.html#module-trackpy.locate_functions">trackpy.locate_functions</a>
+</li>
+        <li><a href="generated/trackpy.locate_functions.brightfield_ring.html#module-trackpy.locate_functions.brightfield_ring">trackpy.locate_functions.brightfield_ring</a>
+</li>
+        <li><a href="generated/trackpy.masks.html#module-trackpy.masks">trackpy.masks</a>
+</li>
+        <li><a href="generated/trackpy.motion.html#module-trackpy.motion">trackpy.motion</a>
+</li>
+        <li><a href="generated/trackpy.plots.html#module-trackpy.plots">trackpy.plots</a>
+</li>
+        <li><a href="generated/trackpy.predict.html#module-trackpy.predict">trackpy.predict</a>
+</li>
+        <li><a href="generated/trackpy.preprocessing.html#module-trackpy.preprocessing">trackpy.preprocessing</a>
+</li>
+        <li><a href="generated/trackpy.refine.html#module-trackpy.refine">trackpy.refine</a>
+</li>
+        <li><a href="generated/trackpy.refine.brightfield_ring.html#module-trackpy.refine.brightfield_ring">trackpy.refine.brightfield_ring</a>
+</li>
+        <li><a href="generated/trackpy.refine.center_of_mass.html#module-trackpy.refine.center_of_mass">trackpy.refine.center_of_mass</a>
+</li>
+        <li><a href="generated/trackpy.refine.least_squares.html#module-trackpy.refine.least_squares">trackpy.refine.least_squares</a>
+</li>
+        <li><a href="generated/trackpy.static.html#module-trackpy.static">trackpy.static</a>
+</li>
+        <li><a href="generated/trackpy.tracking.html#module-trackpy.tracking">trackpy.tracking</a>
+</li>
+        <li><a href="generated/trackpy.try_numba.html#module-trackpy.try_numba">trackpy.try_numba</a>
+</li>
+        <li><a href="generated/trackpy.uncertainty.html#module-trackpy.uncertainty">trackpy.uncertainty</a>
+</li>
+        <li><a href="generated/trackpy.utils.html#module-trackpy.utils">trackpy.utils</a>
+</li>
+      </ul></li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="generated/trackpy.motion.msd.html#trackpy.motion.msd">msd() (in module trackpy.motion)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+<h2 id="N">N</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="generated/trackpy.predict.NearestVelocityPredict.html#trackpy.predict.NearestVelocityPredict">NearestVelocityPredict (class in trackpy.predict)</a>
+</li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="generated/trackpy.predict.NullPredict.html#trackpy.predict.NullPredict">NullPredict (class in trackpy.predict)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+<h2 id="O">O</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="generated/trackpy.predict.ChannelPredict.observe.html#trackpy.predict.ChannelPredict.observe">observe() (trackpy.predict.ChannelPredict method)</a>
+
+      <ul>
+        <li><a href="generated/trackpy.predict.DriftPredict.observe.html#trackpy.predict.DriftPredict.observe">(trackpy.predict.DriftPredict method)</a>
+</li>
+        <li><a href="generated/trackpy.predict.NearestVelocityPredict.observe.html#trackpy.predict.NearestVelocityPredict.observe">(trackpy.predict.NearestVelocityPredict method)</a>
+</li>
+        <li><a href="generated/trackpy.predict.NullPredict.observe.html#trackpy.predict.NullPredict.observe">(trackpy.predict.NullPredict method)</a>
+</li>
+      </ul></li>
+  </ul></td>
+</tr></table>
+
+<h2 id="P">P</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="generated/trackpy.static.pair_correlation_2d.html#trackpy.static.pair_correlation_2d">pair_correlation_2d() (in module trackpy.static)</a>
+</li>
+      <li><a href="generated/trackpy.static.pair_correlation_3d.html#trackpy.static.pair_correlation_3d">pair_correlation_3d() (in module trackpy.static)</a>
+</li>
+      <li><a href="generated/trackpy.PandasHDFStore.html#trackpy.PandasHDFStore">PandasHDFStore (class in trackpy)</a>
+</li>
+      <li><a href="generated/trackpy.PandasHDFStoreBig.html#trackpy.PandasHDFStoreBig">PandasHDFStoreBig (class in trackpy)</a>
+</li>
+      <li><a href="generated/trackpy.PandasHDFStoreSingleNode.html#trackpy.PandasHDFStoreSingleNode">PandasHDFStoreSingleNode (class in trackpy)</a>
+</li>
+      <li><a href="generated/trackpy.find.percentile_threshold.html#trackpy.find.percentile_threshold">percentile_threshold() (in module trackpy.find)</a>
+</li>
+      <li><a href="generated/trackpy.diag.performance_report.html#trackpy.diag.performance_report">performance_report() (in module trackpy.diag)</a>
+</li>
+      <li><a href="generated/trackpy.plot_density_profile.html#trackpy.plot_density_profile">plot_density_profile() (in module trackpy)</a>
+</li>
+      <li><a href="generated/trackpy.plot_displacements.html#trackpy.plot_displacements">plot_displacements() (in module trackpy)</a>
+</li>
+      <li><a href="generated/trackpy.plot_traj.html#trackpy.plot_traj">plot_traj() (in module trackpy)</a>
+</li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="generated/trackpy.plot_traj3d.html#trackpy.plot_traj3d">plot_traj3d() (in module trackpy)</a>
+</li>
+      <li><a href="generated/trackpy.predict.ChannelPredict.predict.html#trackpy.predict.ChannelPredict.predict">predict() (trackpy.predict.ChannelPredict method)</a>
+
+      <ul>
+        <li><a href="generated/trackpy.predict.DriftPredict.predict.html#trackpy.predict.DriftPredict.predict">(trackpy.predict.DriftPredict method)</a>
+</li>
+        <li><a href="generated/trackpy.predict.NearestVelocityPredict.predict.html#trackpy.predict.NearestVelocityPredict.predict">(trackpy.predict.NearestVelocityPredict method)</a>
+</li>
+        <li><a href="generated/trackpy.predict.NullPredict.predict.html#trackpy.predict.NullPredict.predict">(trackpy.predict.NullPredict method)</a>
+</li>
+      </ul></li>
+      <li><a href="generated/trackpy.predict.predictor.html#trackpy.predict.predictor">predictor() (in module trackpy.predict)</a>
+</li>
+      <li><a href="generated/trackpy.static.proximity.html#trackpy.static.proximity">proximity() (in module trackpy.static)</a>
+</li>
+      <li><a href="generated/trackpy.FramewiseData.put.html#trackpy.FramewiseData.put">put() (trackpy.FramewiseData method)</a>
+
+      <ul>
+        <li><a href="generated/trackpy.PandasHDFStore.put.html#trackpy.PandasHDFStore.put">(trackpy.PandasHDFStore method)</a>
+</li>
+        <li><a href="generated/trackpy.PandasHDFStoreBig.put.html#trackpy.PandasHDFStoreBig.put">(trackpy.PandasHDFStoreBig method)</a>
+</li>
+        <li><a href="generated/trackpy.PandasHDFStoreSingleNode.put.html#trackpy.PandasHDFStoreSingleNode.put">(trackpy.PandasHDFStoreSingleNode method)</a>
+</li>
+      </ul></li>
+  </ul></td>
+</tr></table>
+
+<h2 id="Q">Q</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="generated/trackpy.quiet.html#trackpy.quiet">quiet() (in module trackpy)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+<h2 id="R">R</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="generated/trackpy.masks.r_squared_mask.html#trackpy.masks.r_squared_mask">r_squared_mask() (in module trackpy.masks)</a>
+</li>
+      <li><a href="generated/trackpy.PandasHDFStoreBig.rebuild_cache.html#trackpy.PandasHDFStoreBig.rebuild_cache">rebuild_cache() (trackpy.PandasHDFStoreBig method)</a>
+</li>
+      <li><a href="generated/trackpy.reconnect_traj_patch.html#trackpy.reconnect_traj_patch">reconnect_traj_patch() (in module trackpy)</a>
+</li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="generated/trackpy.refine_com.html#trackpy.refine_com">refine_com() (in module trackpy)</a>
+</li>
+      <li><a href="generated/trackpy.refine_leastsq.html#trackpy.refine_leastsq">refine_leastsq() (in module trackpy)</a>
+</li>
+      <li><a href="generated/trackpy.motion.relate_frames.html#trackpy.motion.relate_frames">relate_frames() (in module trackpy.motion)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+<h2 id="S">S</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="generated/trackpy.preprocessing.scale_to_gamut.html#trackpy.preprocessing.scale_to_gamut">scale_to_gamut() (in module trackpy.preprocessing)</a>
+</li>
+      <li><a href="generated/trackpy.scatter.html#trackpy.scatter">scatter() (in module trackpy)</a>
+</li>
+      <li><a href="generated/trackpy.scatter3d.html#trackpy.scatter3d">scatter3d() (in module trackpy)</a>
+</li>
+      <li><a href="generated/trackpy.masks.sinmask.html#trackpy.masks.sinmask">sinmask() (in module trackpy.masks)</a>
+</li>
+      <li><a href="generated/trackpy.masks.slice_image.html#trackpy.masks.slice_image">slice_image() (in module trackpy.masks)</a>
+</li>
+      <li><a href="generated/trackpy.predict.ChannelPredict.state.html#trackpy.predict.ChannelPredict.state">state() (trackpy.predict.ChannelPredict method)</a>
+
+      <ul>
+        <li><a href="generated/trackpy.predict.DriftPredict.state.html#trackpy.predict.DriftPredict.state">(trackpy.predict.DriftPredict method)</a>
+</li>
+        <li><a href="generated/trackpy.predict.NearestVelocityPredict.state.html#trackpy.predict.NearestVelocityPredict.state">(trackpy.predict.NearestVelocityPredict method)</a>
+</li>
+        <li><a href="generated/trackpy.predict.NullPredict.state.html#trackpy.predict.NullPredict.state">(trackpy.predict.NullPredict method)</a>
+</li>
+      </ul></li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="generated/trackpy.SubnetOversizeException.html#trackpy.SubnetOversizeException">SubnetOversizeException</a>
+</li>
+      <li><a href="generated/trackpy.subpx_bias.html#trackpy.subpx_bias">subpx_bias() (in module trackpy)</a>
+</li>
+      <li><a href="generated/trackpy.motion.subtract_drift.html#trackpy.motion.subtract_drift">subtract_drift() (in module trackpy.motion)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+<h2 id="T">T</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="generated/trackpy.FramewiseData.t_column.html#trackpy.FramewiseData.t_column">t_column (trackpy.FramewiseData property)</a>
+
+      <ul>
+        <li><a href="generated/trackpy.PandasHDFStore.t_column.html#trackpy.PandasHDFStore.t_column">(trackpy.PandasHDFStore property)</a>
+</li>
+        <li><a href="generated/trackpy.PandasHDFStoreBig.t_column.html#trackpy.PandasHDFStoreBig.t_column">(trackpy.PandasHDFStoreBig property)</a>
+</li>
+        <li><a href="generated/trackpy.PandasHDFStoreSingleNode.t_column.html#trackpy.PandasHDFStoreSingleNode.t_column">(trackpy.PandasHDFStoreSingleNode property)</a>
+</li>
+      </ul></li>
+      <li><a href="generated/trackpy.motion.theta_entropy.html#trackpy.motion.theta_entropy">theta_entropy() (in module trackpy.motion)</a>
+</li>
+      <li><a href="generated/trackpy.masks.theta_mask.html#trackpy.masks.theta_mask">theta_mask() (in module trackpy.masks)</a>
+</li>
+      <li>
+    trackpy
+
+      <ul>
+        <li><a href="generated/trackpy.html#module-trackpy">module</a>
+</li>
+      </ul></li>
+      <li>
+    trackpy.api
+
+      <ul>
+        <li><a href="generated/trackpy.api.html#module-trackpy.api">module</a>
+</li>
+      </ul></li>
+      <li>
+    trackpy.artificial
+
+      <ul>
+        <li><a href="generated/trackpy.artificial.html#module-trackpy.artificial">module</a>
+</li>
+      </ul></li>
+      <li>
+    trackpy.diag
+
+      <ul>
+        <li><a href="generated/trackpy.diag.html#module-trackpy.diag">module</a>
+</li>
+      </ul></li>
+      <li>
+    trackpy.feature
+
+      <ul>
+        <li><a href="generated/trackpy.feature.html#module-trackpy.feature">module</a>
+</li>
+      </ul></li>
+      <li>
+    trackpy.filtering
+
+      <ul>
+        <li><a href="generated/trackpy.filtering.html#module-trackpy.filtering">module</a>
+</li>
+      </ul></li>
+      <li>
+    trackpy.find
+
+      <ul>
+        <li><a href="generated/trackpy.find.html#module-trackpy.find">module</a>
+</li>
+      </ul></li>
+      <li>
+    trackpy.framewise_data
+
+      <ul>
+        <li><a href="generated/trackpy.framewise_data.html#module-trackpy.framewise_data">module</a>
+</li>
+      </ul></li>
+      <li>
+    trackpy.linking
+
+      <ul>
+        <li><a href="generated/trackpy.linking.html#module-trackpy.linking">module</a>
+</li>
+      </ul></li>
+      <li>
+    trackpy.linking.legacy
+
+      <ul>
+        <li><a href="generated/trackpy.linking.legacy.html#module-trackpy.linking.legacy">module</a>
+</li>
+      </ul></li>
+      <li>
+    trackpy.linking.linking
+
+      <ul>
+        <li><a href="generated/trackpy.linking.linking.html#module-trackpy.linking.linking">module</a>
+</li>
+      </ul></li>
+      <li>
+    trackpy.linking.partial
+
+      <ul>
+        <li><a href="generated/trackpy.linking.partial.html#module-trackpy.linking.partial">module</a>
+</li>
+      </ul></li>
+      <li>
+    trackpy.linking.subnet
+
+      <ul>
+        <li><a href="generated/trackpy.linking.subnet.html#module-trackpy.linking.subnet">module</a>
+</li>
+      </ul></li>
+      <li>
+    trackpy.linking.subnetlinker
+
+      <ul>
+        <li><a href="generated/trackpy.linking.subnetlinker.html#module-trackpy.linking.subnetlinker">module</a>
+</li>
+      </ul></li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li>
+    trackpy.linking.utils
+
+      <ul>
+        <li><a href="generated/trackpy.linking.utils.html#module-trackpy.linking.utils">module</a>
+</li>
+      </ul></li>
+      <li>
+    trackpy.locate_functions
+
+      <ul>
+        <li><a href="generated/trackpy.locate_functions.html#module-trackpy.locate_functions">module</a>
+</li>
+      </ul></li>
+      <li>
+    trackpy.locate_functions.brightfield_ring
+
+      <ul>
+        <li><a href="generated/trackpy.locate_functions.brightfield_ring.html#module-trackpy.locate_functions.brightfield_ring">module</a>
+</li>
+      </ul></li>
+      <li>
+    trackpy.masks
+
+      <ul>
+        <li><a href="generated/trackpy.masks.html#module-trackpy.masks">module</a>
+</li>
+      </ul></li>
+      <li>
+    trackpy.motion
+
+      <ul>
+        <li><a href="generated/trackpy.motion.html#module-trackpy.motion">module</a>
+</li>
+      </ul></li>
+      <li>
+    trackpy.plots
+
+      <ul>
+        <li><a href="generated/trackpy.plots.html#module-trackpy.plots">module</a>
+</li>
+      </ul></li>
+      <li>
+    trackpy.predict
+
+      <ul>
+        <li><a href="generated/trackpy.predict.html#module-trackpy.predict">module</a>
+</li>
+      </ul></li>
+      <li>
+    trackpy.preprocessing
+
+      <ul>
+        <li><a href="generated/trackpy.preprocessing.html#module-trackpy.preprocessing">module</a>
+</li>
+      </ul></li>
+      <li>
+    trackpy.refine
+
+      <ul>
+        <li><a href="generated/trackpy.refine.html#module-trackpy.refine">module</a>
+</li>
+      </ul></li>
+      <li>
+    trackpy.refine.brightfield_ring
+
+      <ul>
+        <li><a href="generated/trackpy.refine.brightfield_ring.html#module-trackpy.refine.brightfield_ring">module</a>
+</li>
+      </ul></li>
+      <li>
+    trackpy.refine.center_of_mass
+
+      <ul>
+        <li><a href="generated/trackpy.refine.center_of_mass.html#module-trackpy.refine.center_of_mass">module</a>
+</li>
+      </ul></li>
+      <li>
+    trackpy.refine.least_squares
+
+      <ul>
+        <li><a href="generated/trackpy.refine.least_squares.html#module-trackpy.refine.least_squares">module</a>
+</li>
+      </ul></li>
+      <li>
+    trackpy.static
+
+      <ul>
+        <li><a href="generated/trackpy.static.html#module-trackpy.static">module</a>
+</li>
+      </ul></li>
+      <li>
+    trackpy.tracking
+
+      <ul>
+        <li><a href="generated/trackpy.tracking.html#module-trackpy.tracking">module</a>
+</li>
+      </ul></li>
+      <li>
+    trackpy.try_numba
+
+      <ul>
+        <li><a href="generated/trackpy.try_numba.html#module-trackpy.try_numba">module</a>
+</li>
+      </ul></li>
+      <li>
+    trackpy.uncertainty
+
+      <ul>
+        <li><a href="generated/trackpy.uncertainty.html#module-trackpy.uncertainty">module</a>
+</li>
+      </ul></li>
+      <li>
+    trackpy.utils
+
+      <ul>
+        <li><a href="generated/trackpy.utils.html#module-trackpy.utils">module</a>
+</li>
+      </ul></li>
+  </ul></td>
+</tr></table>
+
+<h2 id="V">V</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="generated/trackpy.motion.vanhove.html#trackpy.motion.vanhove">vanhove() (in module trackpy.motion)</a>
+</li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="generated/trackpy.motion.velocity_corr.html#trackpy.motion.velocity_corr">velocity_corr() (in module trackpy.motion)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+<h2 id="W">W</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="generated/trackpy.predict.ChannelPredict.wrap.html#trackpy.predict.ChannelPredict.wrap">wrap() (trackpy.predict.ChannelPredict method)</a>
+
+      <ul>
+        <li><a href="generated/trackpy.predict.DriftPredict.wrap.html#trackpy.predict.DriftPredict.wrap">(trackpy.predict.DriftPredict method)</a>
+</li>
+        <li><a href="generated/trackpy.predict.NearestVelocityPredict.wrap.html#trackpy.predict.NearestVelocityPredict.wrap">(trackpy.predict.NearestVelocityPredict method)</a>
+</li>
+        <li><a href="generated/trackpy.predict.NullPredict.wrap.html#trackpy.predict.NullPredict.wrap">(trackpy.predict.NullPredict method)</a>
+</li>
+      </ul></li>
+  </ul></td>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="generated/trackpy.predict.ChannelPredict.wrap_single.html#trackpy.predict.ChannelPredict.wrap_single">wrap_single() (trackpy.predict.ChannelPredict method)</a>
+
+      <ul>
+        <li><a href="generated/trackpy.predict.DriftPredict.wrap_single.html#trackpy.predict.DriftPredict.wrap_single">(trackpy.predict.DriftPredict method)</a>
+</li>
+        <li><a href="generated/trackpy.predict.NearestVelocityPredict.wrap_single.html#trackpy.predict.NearestVelocityPredict.wrap_single">(trackpy.predict.NearestVelocityPredict method)</a>
+</li>
+        <li><a href="generated/trackpy.predict.NullPredict.wrap_single.html#trackpy.predict.NullPredict.wrap_single">(trackpy.predict.NullPredict method)</a>
+</li>
+      </ul></li>
+  </ul></td>
+</tr></table>
+
+<h2 id="X">X</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+  <td style="width: 33%; vertical-align: top;"><ul>
+      <li><a href="generated/trackpy.masks.x_squared_masks.html#trackpy.masks.x_squared_masks">x_squared_masks() (in module trackpy.masks)</a>
+</li>
+  </ul></td>
+</tr></table>
+
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/index.html b/trackpy/v0.6.2/index.html
new file mode 100644
index 00000000..d92855dd
--- /dev/null
+++ b/trackpy/v0.6.2/index.html
@@ -0,0 +1,231 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>Trackpy: Fast, Flexible Particle-Tracking Toolkit &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/bootstrap-sphinx.css" />
+    <script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="_static/doctools.js"></script>
+    <link rel="index" title="Index" href="genindex.html" />
+    <link rel="search" title="Search" href="search.html" />
+    <link rel="next" title="Introduction to Trackpy" href="introduction.html" />
+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
+<meta name='viewport' content='width=device-width, initial-scale=1.0, maximum-scale=1'>
+<meta name="apple-mobile-web-app-capable" content="yes">
+<script type="text/javascript" src="_static/js/jquery-1.12.4.min.js"></script>
+<script type="text/javascript" src="_static/js/jquery-fix.js"></script>
+<script type="text/javascript" src="_static/bootstrap-3.4.1/js/bootstrap.min.js"></script>
+<script type="text/javascript" src="_static/bootstrap-sphinx.js"></script>
+
+  </head><body>
+
+  <div id="navbar" class="navbar navbar-default navbar-fixed-top">
+    <div class="container">
+      <div class="navbar-header">
+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="#">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="tutorial.html">Tutorial</a></li>
+            
+            
+              <li class="dropdown globaltoc-container">
+  <a role="button"
+     id="dLabelGlobalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Site <b class="caret"></b></a>
+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul>
+<li class="toctree-l1"><a class="reference internal" href="introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">Trackpy: Fast, Flexible Particle-Tracking Toolkit</a><ul>
+</ul>
+</li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <style type="text/css">
+.thumbnail {{
+    position: relative;
+    float: left;
+    margin: 10px;
+    width: 180px;
+    height: 200px;
+}}
+
+.thumbnail img {{
+    position: absolute;
+    display: inline;
+    left: 0;
+    width: 170px;
+    height: 170px;
+}}
+
+</style><section id="trackpy-fast-flexible-particle-tracking-toolkit">
+<h1>Trackpy: Fast, Flexible Particle-Tracking Toolkit<a class="headerlink" href="#trackpy-fast-flexible-particle-tracking-toolkit" title="Permalink to this heading">¶</a></h1>
+<div style="clear: both"></div>
+<div class="container-fluid hidden-xs hidden-sm">
+  <div class="row">
+    <div class="col-md-2 thumbnail">
+      <img src="_static/interfacial-particles.png">
+    </div>
+    <div class="col-md-2 thumbnail">
+      <img src="_static/foam.png">
+    </div>
+    <div class="col-md-2 thumbnail">
+      <img src="_static/tracking-sphere.png">
+    </div>
+    <div class="col-md-2 thumbnail">
+      <img src="_static/trajectories-in-water.png">
+    </div>
+    <div class="col-md-2 thumbnail">
+      <img src="_static/rearrangements-and-strain.png">
+    </div>
+    <div class="col-md-2 thumbnail">
+      <img src="_static/large-particle-in-liquid-crystal.png">
+    </div>
+  </div>
+</div>
+<br><p>Trackpy is a Python package for particle tracking in 2D, 3D, and higher dimensions.</p>
+<p>For a brief introduction to the ideas behind the package, you can read the <a class="reference internal" href="introduction.html#introduction"><span class="std std-ref">introductory notes</span></a>. Read the <a class="reference internal" href="tutorial/walkthrough.html"><span class="doc">walkthrough</span></a> to study an example project from start to finish.</p>
+<p>Much more detail can be found in the trackpy <a class="reference internal" href="tutorial.html#tutorial"><span class="std std-ref">tutorial</span></a>. You can also browse the <a class="reference internal" href="api.html#api-ref"><span class="std std-ref">API reference</span></a> to see available tools for tracking, motion analysis, plotting, and more.</p>
+<p>See the
+<a class="reference internal" href="installation.html"><span class="doc">installation instructions</span></a> to obtain the current stable
+release or the version in development.</p>
+<p>To check out the code, report a bug, or contribute a new feature, please visit
+the <a class="reference external" href="https://github.com/soft-matter/trackpy">github repository</a>.</p>
+<p>Different versions of the documentations are available: consult the documentation
+of the current <a class="reference external" href="https://soft-matter.github.io/trackpy/stable/">stable</a>
+release or the <a class="reference external" href="https://soft-matter.github.io/trackpy/dev/">developer</a> version.</p>
+<div class="container-fluid">
+<div class="row">
+<div class="col-md-6">
+<h2>Documentation</h2><div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="whatsnew.html">What’s new in the package</a></li>
+</ul>
+</div>
+</div>
+<div class="col-md-6">
+<h2>Tutorial</h2><div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</div>
+</div>
+</div>
+</div></section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="_sources/index.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/installation.html b/trackpy/v0.6.2/installation.html
new file mode 100644
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--- /dev/null
+++ b/trackpy/v0.6.2/installation.html
@@ -0,0 +1,348 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>Installing Trackpy &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/bootstrap-sphinx.css" />
+    <script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
+    <script src="_static/underscore.js"></script>
+    <script src="_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="_static/doctools.js"></script>
+    <link rel="index" title="Index" href="genindex.html" />
+    <link rel="search" title="Search" href="search.html" />
+    <link rel="next" title="API reference" href="api.html" />
+    <link rel="prev" title="Introduction to Trackpy" href="introduction.html" />
+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
+<meta name='viewport' content='width=device-width, initial-scale=1.0, maximum-scale=1'>
+<meta name="apple-mobile-web-app-capable" content="yes">
+<script type="text/javascript" src="_static/js/jquery-1.12.4.min.js"></script>
+<script type="text/javascript" src="_static/js/jquery-fix.js"></script>
+<script type="text/javascript" src="_static/bootstrap-3.4.1/js/bootstrap.min.js"></script>
+<script type="text/javascript" src="_static/bootstrap-sphinx.js"></script>
+
+  </head><body>
+
+  <div id="navbar" class="navbar navbar-default navbar-fixed-top">
+    <div class="container">
+      <div class="navbar-header">
+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="tutorial.html">Tutorial</a></li>
+            
+            
+              <li class="dropdown globaltoc-container">
+  <a role="button"
+     id="dLabelGlobalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="index.html">Site <b class="caret"></b></a>
+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1 current"><a class="current reference internal" href="#">Installing Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">Installing Trackpy</a><ul>
+<li><a class="reference internal" href="#for-python-novices">For Python Novices</a><ul>
+<li><a class="reference internal" href="#get-scientific-python">1. Get Scientific Python</a></li>
+<li><a class="reference internal" href="#install-trackpy">2. Install trackpy</a></li>
+<li><a class="reference internal" href="#try-it-out">3. Try it out!</a></li>
+<li><a class="reference internal" href="#updating-your-installation">Updating Your Installation</a></li>
+</ul>
+</li>
+<li><a class="reference internal" href="#latest-stable-release">Latest Stable Release</a></li>
+<li><a class="reference internal" href="#latest-version-under-development">Latest Version Under Development</a><ul>
+<li><a class="reference internal" href="#using-environments">Using environments</a></li>
+</ul>
+</li>
+<li><a class="reference internal" href="#more-information-for-experienced-python-users">More Information for Experienced Python Users</a><ul>
+<li><a class="reference internal" href="#archlinux">Archlinux</a></li>
+<li><a class="reference internal" href="#pip">pip</a></li>
+<li><a class="reference internal" href="#manual-installation">Manual installation</a></li>
+<li><a class="reference internal" href="#optional-dependencies">Optional Dependencies</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="installing-trackpy">
+<span id="installation"></span><h1>Installing Trackpy<a class="headerlink" href="#installing-trackpy" title="Permalink to this heading">¶</a></h1>
+<section id="for-python-novices">
+<h2>For Python Novices<a class="headerlink" href="#for-python-novices" title="Permalink to this heading">¶</a></h2>
+<p>Installation is simple on Windows, OSX, and Linux, even for Python novices.</p>
+<section id="get-scientific-python">
+<h3>1. Get Scientific Python<a class="headerlink" href="#get-scientific-python" title="Permalink to this heading">¶</a></h3>
+<p>To get started with Python on any platform, download and install
+<a class="reference external" href="https://www.anaconda.com/distribution/">Anaconda</a>. It comes with the
+common scientific Python packages built in.</p>
+</section>
+<section id="install-trackpy">
+<h3>2. Install trackpy<a class="headerlink" href="#install-trackpy" title="Permalink to this heading">¶</a></h3>
+<p>Open a command prompt. On Windows, you can use the “Anaconda Command Prompt”
+installed by Anaconda or Start &gt; Applications &gt; Command Prompt. On a Mac, look
+for Applications &gt; Utilities &gt; Terminal. Type these commands:</p>
+<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>conda<span class="w"> </span>update<span class="w"> </span>conda
+conda<span class="w"> </span>install<span class="w"> </span>-c<span class="w"> </span>conda-forge<span class="w"> </span>trackpy
+conda<span class="w"> </span>install<span class="w"> </span>-c<span class="w"> </span>conda-forge<span class="w"> </span>pims
+</pre></div>
+</div>
+<p>The above installs trackpy and all its requirements, plus the recommended
+<a class="reference external" href="http://soft-matter.github.io/pims/">PIMS</a> package that simplifies image-reading,
+and that is used in the trackpy tutorials.</p>
+</section>
+<section id="try-it-out">
+<h3>3. Try it out!<a class="headerlink" href="#try-it-out" title="Permalink to this heading">¶</a></h3>
+<p>Finally, to try it out, type</p>
+<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>jupyter<span class="w"> </span>notebook
+</pre></div>
+</div>
+<div class="admonition note">
+<p class="admonition-title">Note</p>
+<p>For older Python versions, use <code class="docutils literal notranslate"><span class="pre">ipython</span> <span class="pre">notebook</span></code></p>
+</div>
+<p>This will automatically open a browser tab, ready to interpret Python code.
+To get started, check out the links to tutorials at the top of this document.</p>
+</section>
+<section id="updating-your-installation">
+<h3>Updating Your Installation<a class="headerlink" href="#updating-your-installation" title="Permalink to this heading">¶</a></h3>
+<p>Before updating to a new version of trackpy, be sure to read the
+<a class="reference internal" href="whatsnew.html"><span class="doc">release notes</span></a> for a list of new features and any changes
+that may affect your existing analysis code.</p>
+</section>
+</section>
+<section id="latest-stable-release">
+<h2>Latest Stable Release<a class="headerlink" href="#latest-stable-release" title="Permalink to this heading">¶</a></h2>
+<p>The code is under active development. To update to the latest stable release,
+run this in the command prompt:</p>
+<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>conda<span class="w"> </span>update<span class="w"> </span>-c<span class="w"> </span>conda-forge<span class="w"> </span>trackpy
+</pre></div>
+</div>
+</section>
+<section id="latest-version-under-development">
+<h2>Latest Version Under Development<a class="headerlink" href="#latest-version-under-development" title="Permalink to this heading">¶</a></h2>
+<p>The <code class="docutils literal notranslate"><span class="pre">master</span></code> branch on GitHub contains the latest tested development code.
+Sometimes this branch will be compatible with the very latest versions of
+other packages (especially pandas or scipy) weeks or months before a new
+stable version is released. Code in this branch has already been thoroughly
+tested.</p>
+<p>You can easily install a recent build by downloading the source from
+<a class="reference external" href="https://github.com/soft-matter/trackpy">GitHub</a>:</p>
+<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>pip<span class="w"> </span>install<span class="w"> </span>https://github.com/soft-matter/trackpy/archive/master.zip
+</pre></div>
+</div>
+<p>If you plan to edit the code yourself, you should use git and pip as
+explained below.</p>
+<section id="using-environments">
+<h3>Using environments<a class="headerlink" href="#using-environments" title="Permalink to this heading">¶</a></h3>
+<p>Some users often like to separate Python instances into environments, so that
+each project can have its own set of packages. Create a trackpy-dedicated
+environment with the name softmatter as follows:</p>
+<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>conda<span class="w"> </span>create<span class="w"> </span>--name<span class="w"> </span>softmatter<span class="w"> </span>trackpy<span class="w"> </span>nb_conda
+</pre></div>
+</div>
+<p>The <cite>nb_conda</cite> is optional, but we added it to ensure that Jupyter sees this
+environment as well. You can switch to the environment from within Jupyter in
+the Kernels menu. To access the environment on the commandline, type the
+following:</p>
+<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><span class="nb">source</span><span class="w"> </span>activate<span class="w"> </span>softmatter
+</pre></div>
+</div>
+<p>On Windows systems, leave out the <cite>source</cite>. You can go back to the root conda
+environment by activating <cite>root</cite>.</p>
+</section>
+</section>
+<section id="more-information-for-experienced-python-users">
+<h2>More Information for Experienced Python Users<a class="headerlink" href="#more-information-for-experienced-python-users" title="Permalink to this heading">¶</a></h2>
+<section id="archlinux">
+<h3>Archlinux<a class="headerlink" href="#archlinux" title="Permalink to this heading">¶</a></h3>
+<p>Package is available for Archlinux on AUR: <a class="reference external" href="https://aur.archlinux.org/packages/python-trackpy/">Python 3</a></p>
+</section>
+<section id="pip">
+<h3>pip<a class="headerlink" href="#pip" title="Permalink to this heading">¶</a></h3>
+<p>We strongly recommend using conda to install trackpy, as described above,
+but pip is also supported. In general, you can use the latest version of each dependency.
+If you wish to override trackpy’s minimum version requirements, you may find that
+trackpy still runs your analysis code with older versions of dependencies.</p>
+<p>Essential Dependencies:</p>
+<ul class="simple">
+<li><p>Python 3</p></li>
+<li><p><a class="reference external" href="http://pythonhosted.org/setuptools/">setuptools</a></p></li>
+<li><p><a class="reference external" href="http://www.scipy.org/">numpy</a></p></li>
+<li><p><a class="reference external" href="http://www.scipy.org/">scipy</a></p></li>
+<li><p><a class="reference external" href="http://matplotlib.org/">matplotlib</a></p></li>
+<li><p><a class="reference external" href="http://pandas.pydata.org/pandas-docs/stable/overview.html">pandas</a></p></li>
+<li><p><a class="reference external" href="http://pyyaml.org/">pyyaml</a></p></li>
+<li><p><a class="reference external" href="https://pypi.org/project/looseversion/">looseversion</a></p></li>
+</ul>
+<p>You will also want to install the <a class="reference external" href="http://soft-matter.github.io/pims/">pims</a>
+package that simplifies image-reading, and that is used in the trackpy tutorials.
+The remaining optional dependencies, listed below, are strongly recommended but
+can be challenging to install yourself, hence our recommendation that you
+use <a class="reference external" href="https://www.anaconda.com/distribution/">Anaconda</a>.</p>
+</section>
+<section id="manual-installation">
+<h3>Manual installation<a class="headerlink" href="#manual-installation" title="Permalink to this heading">¶</a></h3>
+<p>If you want to be able to edit the code yourself, you can install the package
+manually. First, make sure you have <a class="reference external" href="https://git-scm.com/">git</a> version
+management software installed. Go to a folder where you want to have your
+source code, then:</p>
+<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>git<span class="w"> </span>clone<span class="w"> </span>https://github.com/soft-matter/trackpy
+<span class="nb">cd</span><span class="w"> </span>trackpy
+python<span class="w"> </span>setup.py<span class="w"> </span>develop
+</pre></div>
+</div>
+<p>We welcome any contribution to the trackpy source code, so feel free to send
+in your contributions on Github! To do so, make an account, fork
+<a class="reference external" href="https://github.com/soft-matter/trackpy">trackpy</a> and create a local copy
+using:</p>
+<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>git<span class="w"> </span>clone<span class="w"> </span>https://github.com/&lt;your_account&gt;/trackpy
+</pre></div>
+</div>
+<p>Now you have a local copy of the code which you can edit, but don’t start
+editing right away as you are currently on the <code class="docutils literal notranslate"><span class="pre">master</span></code> branch. We think it
+is good practice to keep your <code class="docutils literal notranslate"><span class="pre">master</span></code> branch mirroring the upstream
+trackpy version, so first create a new branch and push it to the remote as
+follows:</p>
+<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>git<span class="w"> </span>branch<span class="w"> </span>fix-something
+git<span class="w"> </span>push<span class="w"> </span>--set-upstream<span class="w"> </span>origin<span class="w"> </span>fix-something
+</pre></div>
+</div>
+<p>Now you can edit your code in any way you like, commit your changes, and push
+them again to the remote.</p>
+<p>Before sending in your code, please consult
+<a class="reference external" href="https://github.com/soft-matter/trackpy/wiki/Information-for-contributors">our guidelines</a>.
+Also, see <a class="reference external" href="https://git-scm.com/book/en/v1/Getting-Started">here</a> for getting
+started using git.</p>
+</section>
+<section id="optional-dependencies">
+<h3>Optional Dependencies<a class="headerlink" href="#optional-dependencies" title="Permalink to this heading">¶</a></h3>
+<p>These are strongly recommended to make using trackpy more convenient and faster:</p>
+<ul class="simple">
+<li><dl class="simple">
+<dt>The <a class="reference external" href="http://soft-matter.github.io/pims/">PIMS</a> package simplifies image-reading,</dt><dd><p>and is used in the trackpy tutorials.</p>
+</dd>
+</dl>
+</li>
+<li><dl class="simple">
+<dt><a class="reference external" href="http://www.pytables.org/moin">PyTables</a> for saving results in an HDF5 file.</dt><dd><p>This is included with Anaconda.</p>
+</dd>
+</dl>
+</li>
+<li><dl class="simple">
+<dt><a class="reference external" href="http://numba.pydata.org/">numba</a> for accelerated feature-finding and linking.</dt><dd><p>This is included with Anaconda and Canopy. Installing it any other way is
+difficult; we recommend sticking with one of these.</p>
+</dd>
+</dl>
+</li>
+<li><dl class="simple">
+<dt><a class="reference external" href="https://pillow.readthedocs.org/">Pillow</a> or <a class="reference external" href="http://www.pythonware.com/products/pil/">PIL</a> for some display routines.</dt><dd><p>This is included with Anaconda.</p>
+</dd>
+</dl>
+</li>
+</ul>
+<p>PIMS has its own optional dependencies for reading various formats. You
+can read what you need for each format
+<a class="reference external" href="http://soft-matter.github.io/pims/stable">here on PIMS’ README</a>.</p>
+</section>
+</section>
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
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+  <a href="_sources/installation.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
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+    <title>Introduction to Trackpy &#8212; trackpy 0.6.2 documentation</title>
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+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="tutorial.html">Tutorial</a></li>
+            
+            
+              <li class="dropdown globaltoc-container">
+  <a role="button"
+     id="dLabelGlobalToc"
+     data-toggle="dropdown"
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+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul class="current">
+<li class="toctree-l1 current"><a class="current reference internal" href="#">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
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+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">Introduction to Trackpy</a><ul>
+<li><a class="reference internal" href="#features">Features</a><ul>
+<li><a class="reference internal" href="#basics">Basics</a></li>
+<li><a class="reference internal" href="#special-capabilities">Special Capabilities</a></li>
+</ul>
+</li>
+<li><a class="reference internal" href="#citing-trackpy">Citing Trackpy</a></li>
+<li><a class="reference internal" href="#related-projects">Related Projects</a></li>
+<li><a class="reference internal" href="#core-contributors">Core Contributors</a></li>
+<li><a class="reference internal" href="#support">Support</a></li>
+</ul>
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+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="introduction-to-trackpy">
+<span id="introduction"></span><h1>Introduction to Trackpy<a class="headerlink" href="#introduction-to-trackpy" title="Permalink to this heading">¶</a></h1>
+<p>Trackpy is a package for tracking blob-like features in video images, following them
+through time, and analyzing their trajectories. It started from a Python implementation
+of the widely-used Crocker–Grier algorithm and is currently in transition
+towards a general-purpose Python tracking library.</p>
+<p>There are many similar projects. (See table below.)
+Our implementation is distinguished by succinct and flexible usage,
+a thorough testing framework ensuring code stability and accuracy,
+scalability, and thorough documentation.</p>
+<p>Several researchers have merged their independent efforts into this code.
+We would like to see others in the community adopt it and potentially
+contribute code to it.</p>
+<section id="features">
+<h2>Features<a class="headerlink" href="#features" title="Permalink to this heading">¶</a></h2>
+<section id="basics">
+<h3>Basics<a class="headerlink" href="#basics" title="Permalink to this heading">¶</a></h3>
+<p>Following the <a class="reference external" href="http://www.physics.emory.edu/~weeks/idl/tracking.html">widely-used particle tracking algorithm</a>,
+we separate <em>tracking</em> into three separate steps. In the first step, <em>feature finding</em>
+initial feature coordinates are obtained from the images. Subsequently, sub-pixel precision
+is obtained in coordinate <em>refinement</em>. Finally, the coordinates are <em>linked</em> in time yielding
+the feature trajectories.</p>
+<blockquote>
+<div><ul class="simple">
+<li><p>The tracking algorithm originally implemented by John Crocker and Eric Weeks in IDL was
+completely reimplemented in Python.</p></li>
+<li><p>A <a class="reference external" href="https://arxiv.org/abs/1607.08819">flexible framework for least-squares fitting</a>
+allows for sub-pixel refinement using any radial model function in 2D and 3D.</p></li>
+<li><p>Trackpy is actively used and tested on <strong>Windows, Mac OSX, and Linux</strong>,
+and it uses only <strong>free, open-source</strong> software.</p></li>
+<li><p>Frames of video are loaded via the sister project <a class="reference external" href="http://github.com/soft-matter/pims">PIMS</a>
+which enables reading of several types of <strong>video files (AVI, MOV, etc.),
+specialized formats (LEI, ND2, SEQ, CINE), multi-frame TIFF, or a directory of sequential
+images (TIFF, PNG, JPG, etc.)</strong>.</p></li>
+<li><p>Results are given as DataFrames, high-performance spreadsheet-like objects
+from <a class="reference external" href="http://pandas.pydata.org/pandas-docs/stable/overview.html">Python pandas</a>
+which can easily be saved to a <strong>CSV file, Excel spreadsheet,
+SQL database, HDF5 file</strong>, and more.</p></li>
+<li><p>Particle trajectories can be
+characterized, grouped, and plotted using a suite of convenient functions.</p></li>
+<li><p>To verify correctness and stability, a <strong>suite of 500+ tests verifies basic results
+on each trackpy update</strong>.</p></li>
+</ul>
+</div></blockquote>
+</section>
+<section id="special-capabilities">
+<h3>Special Capabilities<a class="headerlink" href="#special-capabilities" title="Permalink to this heading">¶</a></h3>
+<blockquote>
+<div><ul class="simple">
+<li><p>Both feature-finding and trajectory-linking can be performed on
+<strong>arbitrarily long videos</strong> using a fixed, modest amount of memory. (Results
+can be read and saved to disk throughout.)</p></li>
+<li><p>A <strong>prediction framework</strong> helps track particles in fluid flows,
+or other scenarios where velocity is correlated between time steps.</p></li>
+<li><p>Feature-finding optionally makes use of the <strong>history of feature coordinates</strong>
+in a routine that combines linking and feature-finding.</p></li>
+<li><p>Feature-finding and trajectory-linking works on <strong>images with any number of dimensions</strong>,
+making possible some creative applications.</p></li>
+<li><p><strong>Uncertainty is estimated</strong> following a method <a class="reference external" href="http://dx.doi.org/10.1529/biophysj.104.042457">described in this paper</a> by Savin and Doyle.</p></li>
+<li><p><strong>High-performance</strong> numba acceleration is used only if
+if available. Since these can be tricky to install on some machines,
+the code will automatically fall back on slower pure Python implementations</p></li>
+<li><p><strong>Adaptive search</strong> can prevent the tracking algorithm from failing
+or becoming too slow, by automatically making adjustments when needed.</p></li>
+</ul>
+</div></blockquote>
+</section>
+</section>
+<section id="citing-trackpy">
+<h2>Citing Trackpy<a class="headerlink" href="#citing-trackpy" title="Permalink to this heading">¶</a></h2>
+<p>Trackpy can be cited using a DOI provided through our Zenodo
+<a class="reference external" href="https://zenodo.org/badge/latestdoi/4744355">record page</a>. To direct your
+readers to the specific version of trackpy that they can use to reproduce
+your results, cite the release of trackpy that you used for your work
+(available from the variable <code class="docutils literal notranslate"><span class="pre">trackpy.__version__</span></code>). The
+record pages linked below contain author lists, other details, and complete
+citations in various formats. If your citation style allows for a URL,
+please include a link to the github repository:
+<cite>github.com/soft-matter/trackpy</cite>.</p>
+<table class="docutils align-default">
+<thead>
+<tr class="row-odd"><th class="head"><p>Release (version)</p></th>
+<th class="head"><p>Zenodo Record Pages with info and citations</p></th>
+<th class="head"><p>DOI</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td><p>v0.4 and later</p></td>
+<td><p><a class="reference external" href="https://zenodo.org/badge/latestdoi/4744355">Versioned Record Page</a></p></td>
+<td><p>(see Zenodo)</p></td>
+</tr>
+<tr class="row-odd"><td><p>v0.3.2</p></td>
+<td><p><a class="reference external" href="https://zenodo.org/record/60550">Record Page</a></p></td>
+<td><p>10.5281/zenodo.60550</p></td>
+</tr>
+<tr class="row-even"><td><p>v0.3.1</p></td>
+<td><p><a class="reference external" href="https://zenodo.org/record/55143">Record Page</a></p></td>
+<td><p>10.5281/zenodo.55143</p></td>
+</tr>
+<tr class="row-odd"><td><p>v0.3.0</p></td>
+<td><p><a class="reference external" href="https://zenodo.org/record/34028">Record Page</a></p></td>
+<td><p>10.5281/zenodo.34028</p></td>
+</tr>
+<tr class="row-even"><td><p>v0.2.4</p></td>
+<td><p><a class="reference external" href="https://zenodo.org/record/12255">Record Page</a></p></td>
+<td><p>10.5281/zenodo.12255</p></td>
+</tr>
+<tr class="row-odd"><td><p>v0.2.3</p></td>
+<td><p><a class="reference external" href="https://zenodo.org/record/11956">Record Page</a></p></td>
+<td><p>10.5281/zenodo.11956</p></td>
+</tr>
+<tr class="row-even"><td><p>v0.2.2</p></td>
+<td><p><a class="reference external" href="https://zenodo.org/record/11132">Record Page</a></p></td>
+<td><p>10.5281/zenodo.11132</p></td>
+</tr>
+<tr class="row-odd"><td><p>v0.2</p></td>
+<td><p><a class="reference external" href="https://zenodo.org/record/9971">Record Page</a></p></td>
+<td><p>10.5281/zenodo.9971</p></td>
+</tr>
+</tbody>
+</table>
+<p>Users often also cite this publication describing the core feature-finding
+and linking algorithms that trackpy is based on:</p>
+<p>Crocker, J. C., &amp; Grier, D. G. (1996). Methods of Digital Video Microscopy for Colloidal Studies.
+J. Colloid Interf. Sci., 179(1), 298–310. <a class="reference external" href="http://doi.org/10.1006/jcis.1996.0217">http://doi.org/10.1006/jcis.1996.0217</a></p>
+</section>
+<section id="related-projects">
+<h2>Related Projects<a class="headerlink" href="#related-projects" title="Permalink to this heading">¶</a></h2>
+<table class="docutils align-default">
+<thead>
+<tr class="row-odd"><th class="head"><p>Author(s)</p></th>
+<th class="head"><p>Project URL</p></th>
+<th class="head"><p>Language</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td><p>Crocker and Grier</p></td>
+<td><p><a class="reference external" href="http://physics.nyu.edu/grierlab/software.html">http://physics.nyu.edu/grierlab/software.html</a></p></td>
+<td><p>IDL</p></td>
+</tr>
+<tr class="row-odd"><td><p>Crocker and Weeks</p></td>
+<td><p><a class="reference external" href="http://www.physics.emory.edu/~weeks/idl/">http://www.physics.emory.edu/~weeks/idl/</a></p></td>
+<td><p>IDL</p></td>
+</tr>
+<tr class="row-even"><td><p>Blair and Dufresne</p></td>
+<td><p><a class="reference external" href="http://physics.georgetown.edu/matlab/">http://physics.georgetown.edu/matlab/</a></p></td>
+<td><p>MATLAB</p></td>
+</tr>
+<tr class="row-odd"><td><p>Maria Kilfoil et al.</p></td>
+<td><p><a class="reference external" href="https://github.com/rmcgorty/ParticleTracking-Python">https://github.com/rmcgorty/ParticleTracking-Python</a></p></td>
+<td><p>Python</p></td>
+</tr>
+<tr class="row-even"><td><p>Graham Milne</p></td>
+<td><p><a class="reference external" href="http://zone.ni.com/devzone/cda/epd/p/id/948">http://zone.ni.com/devzone/cda/epd/p/id/948</a></p></td>
+<td><p>LabVIEW</p></td>
+</tr>
+<tr class="row-odd"><td><p>Ryan Smith and Gabe Spalding</p></td>
+<td><p><a class="reference external" href="http://titan.iwu.edu/~gspaldin/rytrack.html">http://titan.iwu.edu/~gspaldin/rytrack.html</a></p></td>
+<td><p>stand alone/IDL GUI</p></td>
+</tr>
+<tr class="row-even"><td><p>Peter J Lu</p></td>
+<td><p><a class="reference external" href="https://github.com/peterlu/PLuTARC_centerfind2D">https://github.com/peterlu/PLuTARC_centerfind2D</a></p></td>
+<td><p>C++ (identification only)</p></td>
+</tr>
+<tr class="row-odd"><td><p>Thomas A Caswell</p></td>
+<td><p><a class="reference external" href="https://github.com/tacaswell/tracking">https://github.com/tacaswell/tracking</a></p></td>
+<td><p>C++</p></td>
+</tr>
+</tbody>
+</table>
+</section>
+<section id="core-contributors">
+<h2>Core Contributors<a class="headerlink" href="#core-contributors" title="Permalink to this heading">¶</a></h2>
+<blockquote>
+<div><ul class="simple">
+<li><p><strong>Casper van der Wel</strong> anisotropic 3D feature-finding, plotting and analyses, framework
+for least-squares refinement, combined linking and feature finding</p></li>
+<li><p><strong>Daniel Allan</strong> feature-finding, uncertainty estimation,
+motion characterization and discrimination, plotting tools, tests</p></li>
+<li><p><strong>Nathan Keim</strong> alternative trajectory-linking implementations, major
+speed-ups, prediction, adaptive search</p></li>
+<li><p><strong>Thomas Caswell</strong> multiple implementations of sophisticated trajectory-linking, tests</p></li>
+</ul>
+</div></blockquote>
+</section>
+<section id="support">
+<h2>Support<a class="headerlink" href="#support" title="Permalink to this heading">¶</a></h2>
+<p>This package was developed in part by Daniel Allan, as part of his
+PhD thesis work on microrheology in Robert L. Leheny’s group at Johns Hopkins
+University in Baltimore, MD, USA. The work was supported by the National Science Foundation
+under grant number CBET-1033985.  Dan can be reached at <a class="reference external" href="mailto:dallan&#37;&#52;&#48;pha&#46;jhu&#46;edu">dallan<span>&#64;</span>pha<span>&#46;</span>jhu<span>&#46;</span>edu</a>.</p>
+<p>This package was developed in part by Thomas A Caswell as part of his
+PhD thesis work in Sidney R Nagel’s and Margaret L Gardel’s groups at
+the University of Chicago, Chicago IL, USA.  This work was supported in
+part by NSF Grant DMR-1105145 and NSF-MRSEC DMR-0820054.  Tom can be
+reached at <a class="reference external" href="mailto:tcaswell&#37;&#52;&#48;gmail&#46;com">tcaswell<span>&#64;</span>gmail<span>&#46;</span>com</a>.</p>
+<p>This package was developed in part by Nathan C. Keim at Cal Poly,
+San Luis Obispo, California, USA and supported by NSF Grant DMR-1708870.
+Portions were also developed at the University of Pennsylvania,
+Philadelphia, USA, supported by NSF-MRSEC DMR-1120901.</p>
+<p>This package was developed in part by Casper van der Wel, as part of his
+PhD thesis work in Daniela Kraft’s group at the Huygens-Kamerlingh-Onnes laboratory,
+Institute of Physics, Leiden University, The Netherlands. This work was
+supported by the Netherlands Organisation for Scientific Research (NWO/OCW).</p>
+</section>
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
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+<div id="sourcelink">
+  <a href="_sources/introduction.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
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index 00000000..5353bd94
--- /dev/null
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+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+    <title>Search &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="_static/bootstrap-sphinx.css" />
+    <script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
+    <script src="_static/jquery.js"></script>
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+    <script src="_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="_static/doctools.js"></script>
+    <link rel="index" title="Index" href="genindex.html" />
+    <link rel="search" title="Search" href="#" />
+  <script type="text/javascript" src="_static/searchtools.js"></script>
+  <script type="text/javascript" src="_static/language_data.js"></script>
+  <script type="text/javascript" src="searchindex.js"></script>
+  
+  <script type="text/javascript" id="searchindexloader"></script>
+  
+<meta charset='utf-8'>
+<meta http-equiv='X-UA-Compatible' content='IE=edge,chrome=1'>
+<meta name='viewport' content='width=device-width, initial-scale=1.0, maximum-scale=1'>
+<meta name="apple-mobile-web-app-capable" content="yes">
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+<script type="text/javascript" src="_static/js/jquery-fix.js"></script>
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+  </head><body>
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+    <div class="container">
+      <div class="navbar-header">
+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
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+        </button>
+        <a class="navbar-brand" href="index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="tutorial.html">Tutorial</a></li>
+            
+            
+              <li class="dropdown globaltoc-container">
+  <a role="button"
+     id="dLabelGlobalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="index.html">Site <b class="caret"></b></a>
+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul>
+<li class="toctree-l1"><a class="reference internal" href="introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"></ul>
+</li>
+              
+            
+            
+            
+            
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+          </ul>
+
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+            
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <h1 id="search-documentation">Search</h1>
+  <div id="fallback" class="admonition warning">
+  <script type="text/javascript">$('#fallback').hide();</script>
+  <p>
+    Please activate JavaScript to enable the search
+    functionality.
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+  </div>
+  <p>
+    From here you can search these documents. Enter your search
+    words into the box below and click "search". Note that the search
+    function will automatically search for all of the words. Pages
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+  </p>
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+    <div class="form-group">
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+    <input type="submit" class="btn btn-default" value="search" />
+    <span id="search-progress" style="padding-left: 10px"></span>
+  </form>
+  
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+      
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+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
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+    </p>
+  </div>
+</footer>
+  </body>
+</html>
\ No newline at end of file
diff --git a/trackpy/v0.6.2/searchindex.js b/trackpy/v0.6.2/searchindex.js
new file mode 100644
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diff --git a/trackpy/v0.6.2/tutorial.html b/trackpy/v0.6.2/tutorial.html
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+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
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+            
+                <li><a href="#">Tutorial</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="installation.html">Installing Trackpy</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/adaptive-search.html">Adaptive Linking</a></li>
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+      
+  <section id="trackpy-tutorial">
+<span id="tutorial"></span><h1>Trackpy tutorial<a class="headerlink" href="#trackpy-tutorial" title="Permalink to this heading">¶</a></h1>
+<section id="basic-usage">
+<h2>Basic Usage<a class="headerlink" href="#basic-usage" title="Permalink to this heading">¶</a></h2>
+<div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/adaptive-search.html">Adaptive Linking</a></li>
+</ul>
+</div>
+</section>
+<section id="processing-large-data-sets">
+<h2>Processing Large Data Sets<a class="headerlink" href="#processing-large-data-sets" title="Permalink to this heading">¶</a></h2>
+<div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/parallel-locate.html">Parallelized Feature Finding</a></li>
+</ul>
+</div>
+</section>
+<section id="extending-customizing-trackpy">
+<h2>Extending &amp; Customizing Trackpy<a class="headerlink" href="#extending-customizing-trackpy" title="Permalink to this heading">¶</a></h2>
+<div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/custom-feature-detection.html">Tracking Large Features Such as Bubbles, and Visualizing a Velocity Field</a></li>
+</ul>
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+
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+      
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+<div id="sourcelink">
+  <a href="_sources/tutorial.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
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\ No newline at end of file
diff --git a/trackpy/v0.6.2/tutorial/adaptive-search.html b/trackpy/v0.6.2/tutorial/adaptive-search.html
new file mode 100644
index 00000000..5c28e272
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+
+    <title>adaptive-search &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
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+
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+          <ul class="nav navbar-nav">
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+                <li><a href="../tutorial.html">Tutorial</a></li>
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+      aria-labelledby="dLabelGlobalToc"><ul>
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+<li class="toctree-l1"><a class="reference internal" href="tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1 current"><a class="current reference internal" href="#">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
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+<li><a class="reference internal" href="#">adaptive-search</a></li>
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+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="adaptive-search">
+<h1>adaptive-search<a class="headerlink" href="#adaptive-search" title="Permalink to this heading">¶</a></h1>
+<!DOCTYPE html>
+
+<html lang="en">
+<head><meta charset="utf-8"/>
+<meta content="width=device-width, initial-scale=1.0" name="viewport"/>
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+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-Menu {
+  z-index: 10000;
+  position: absolute;
+  white-space: nowrap;
+  overflow-x: hidden;
+  overflow-y: auto;
+  outline: none;
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.lm-Menu-content {
+  margin: 0;
+  padding: 0;
+  display: table;
+  list-style-type: none;
+}
+
+.lm-Menu-item {
+  display: table-row;
+}
+
+.lm-Menu-item.lm-mod-hidden,
+.lm-Menu-item.lm-mod-collapsed {
+  display: none !important;
+}
+
+.lm-Menu-itemIcon,
+.lm-Menu-itemSubmenuIcon {
+  display: table-cell;
+  text-align: center;
+}
+
+.lm-Menu-itemLabel {
+  display: table-cell;
+  text-align: left;
+}
+
+.lm-Menu-itemShortcut {
+  display: table-cell;
+  text-align: right;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-MenuBar {
+  outline: none;
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.lm-MenuBar-content {
+  margin: 0;
+  padding: 0;
+  display: flex;
+  flex-direction: row;
+  list-style-type: none;
+}
+
+.lm-MenuBar-item {
+  box-sizing: border-box;
+}
+
+.lm-MenuBar-itemIcon,
+.lm-MenuBar-itemLabel {
+  display: inline-block;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-ScrollBar {
+  display: flex;
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.lm-ScrollBar[data-orientation='horizontal'] {
+  flex-direction: row;
+}
+
+.lm-ScrollBar[data-orientation='vertical'] {
+  flex-direction: column;
+}
+
+.lm-ScrollBar-button {
+  box-sizing: border-box;
+  flex: 0 0 auto;
+}
+
+.lm-ScrollBar-track {
+  box-sizing: border-box;
+  position: relative;
+  overflow: hidden;
+  flex: 1 1 auto;
+}
+
+.lm-ScrollBar-thumb {
+  box-sizing: border-box;
+  position: absolute;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-SplitPanel-child {
+  z-index: 0;
+}
+
+.lm-SplitPanel-handle {
+  z-index: 1;
+}
+
+.lm-SplitPanel-handle.lm-mod-hidden {
+  display: none !important;
+}
+
+.lm-SplitPanel-handle:after {
+  position: absolute;
+  top: 0;
+  left: 0;
+  width: 100%;
+  height: 100%;
+  content: '';
+}
+
+.lm-SplitPanel[data-orientation='horizontal'] > .lm-SplitPanel-handle {
+  cursor: ew-resize;
+}
+
+.lm-SplitPanel[data-orientation='vertical'] > .lm-SplitPanel-handle {
+  cursor: ns-resize;
+}
+
+.lm-SplitPanel[data-orientation='horizontal'] > .lm-SplitPanel-handle:after {
+  left: 50%;
+  min-width: 8px;
+  transform: translateX(-50%);
+}
+
+.lm-SplitPanel[data-orientation='vertical'] > .lm-SplitPanel-handle:after {
+  top: 50%;
+  min-height: 8px;
+  transform: translateY(-50%);
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-TabBar {
+  display: flex;
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.lm-TabBar[data-orientation='horizontal'] {
+  flex-direction: row;
+  align-items: flex-end;
+}
+
+.lm-TabBar[data-orientation='vertical'] {
+  flex-direction: column;
+  align-items: flex-end;
+}
+
+.lm-TabBar-content {
+  margin: 0;
+  padding: 0;
+  display: flex;
+  flex: 1 1 auto;
+  list-style-type: none;
+}
+
+.lm-TabBar[data-orientation='horizontal'] > .lm-TabBar-content {
+  flex-direction: row;
+}
+
+.lm-TabBar[data-orientation='vertical'] > .lm-TabBar-content {
+  flex-direction: column;
+}
+
+.lm-TabBar-tab {
+  display: flex;
+  flex-direction: row;
+  box-sizing: border-box;
+  overflow: hidden;
+  touch-action: none; /* Disable native Drag/Drop */
+}
+
+.lm-TabBar-tabIcon,
+.lm-TabBar-tabCloseIcon {
+  flex: 0 0 auto;
+}
+
+.lm-TabBar-tabLabel {
+  flex: 1 1 auto;
+  overflow: hidden;
+  white-space: nowrap;
+}
+
+.lm-TabBar-tabInput {
+  user-select: all;
+  width: 100%;
+  box-sizing: border-box;
+}
+
+.lm-TabBar-tab.lm-mod-hidden {
+  display: none !important;
+}
+
+.lm-TabBar-addButton.lm-mod-hidden {
+  display: none !important;
+}
+
+.lm-TabBar.lm-mod-dragging .lm-TabBar-tab {
+  position: relative;
+}
+
+.lm-TabBar.lm-mod-dragging[data-orientation='horizontal'] .lm-TabBar-tab {
+  left: 0;
+  transition: left 150ms ease;
+}
+
+.lm-TabBar.lm-mod-dragging[data-orientation='vertical'] .lm-TabBar-tab {
+  top: 0;
+  transition: top 150ms ease;
+}
+
+.lm-TabBar.lm-mod-dragging .lm-TabBar-tab.lm-mod-dragging {
+  transition: none;
+}
+
+.lm-TabBar-tabLabel .lm-TabBar-tabInput {
+  user-select: all;
+  width: 100%;
+  box-sizing: border-box;
+  background: inherit;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-TabPanel-tabBar {
+  z-index: 1;
+}
+
+.lm-TabPanel-stackedPanel {
+  z-index: 0;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Collapse {
+  display: flex;
+  flex-direction: column;
+  align-items: stretch;
+}
+
+.jp-Collapse-header {
+  padding: 1px 12px;
+  background-color: var(--jp-layout-color1);
+  border-bottom: solid var(--jp-border-width) var(--jp-border-color2);
+  color: var(--jp-ui-font-color1);
+  cursor: pointer;
+  display: flex;
+  align-items: center;
+  font-size: var(--jp-ui-font-size0);
+  font-weight: 600;
+  text-transform: uppercase;
+  user-select: none;
+}
+
+.jp-Collapser-icon {
+  height: 16px;
+}
+
+.jp-Collapse-header-collapsed .jp-Collapser-icon {
+  transform: rotate(-90deg);
+  margin: auto 0;
+}
+
+.jp-Collapser-title {
+  line-height: 25px;
+}
+
+.jp-Collapse-contents {
+  padding: 0 12px;
+  background-color: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  overflow: auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/* This file was auto-generated by ensureUiComponents() in @jupyterlab/buildutils */
+
+/**
+ * (DEPRECATED) Support for consuming icons as CSS background images
+ */
+
+/* Icons urls */
+
+:root {
+  --jp-icon-add-above: url(data:image/svg+xml;base64,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);
+  --jp-icon-add-below: url(data:image/svg+xml;base64,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);
+  --jp-icon-add: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE5IDEzaC02djZoLTJ2LTZINXYtMmg2VjVoMnY2aDZ2MnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-bell: url(data:image/svg+xml;base64,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);
+  --jp-icon-bug-dot: url(data:image/svg+xml;base64,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);
+  --jp-icon-bug: url(data:image/svg+xml;base64,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);
+  --jp-icon-build: url(data:image/svg+xml;base64,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);
+  --jp-icon-caret-down-empty-thin: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwIDIwIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwb2x5Z29uIGNsYXNzPSJzdDEiIHBvaW50cz0iOS45LDEzLjYgMy42LDcuNCA0LjQsNi42IDkuOSwxMi4yIDE1LjQsNi43IDE2LjEsNy40ICIvPgoJPC9nPgo8L3N2Zz4K);
+  --jp-icon-caret-down-empty: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik01LjIsNS45TDksOS43bDMuOC0zLjhsMS4yLDEuMmwtNC45LDVsLTQuOS01TDUuMiw1Ljl6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-caret-down: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik01LjIsNy41TDksMTEuMmwzLjgtMy44SDUuMnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-caret-left: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwYXRoIGQ9Ik0xMC44LDEyLjhMNy4xLDlsMy44LTMuOGwwLDcuNkgxMC44eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-caret-right: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik03LjIsNS4yTDEwLjksOWwtMy44LDMuOFY1LjJINy4yeiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-caret-up-empty-thin: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwIDIwIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwb2x5Z29uIGNsYXNzPSJzdDEiIHBvaW50cz0iMTUuNCwxMy4zIDkuOSw3LjcgNC40LDEzLjIgMy42LDEyLjUgOS45LDYuMyAxNi4xLDEyLjYgIi8+Cgk8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-caret-up: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwYXRoIGQ9Ik01LjIsMTAuNUw5LDYuOGwzLjgsMy44SDUuMnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-case-sensitive: url(data:image/svg+xml;base64,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);
+  --jp-icon-check: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIj4KICAgIDxwYXRoIGQ9Ik05IDE2LjE3TDQuODMgMTJsLTEuNDIgMS40MUw5IDE5IDIxIDdsLTEuNDEtMS40MXoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-circle-empty: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyIDJDNi40NyAyIDIgNi40NyAyIDEyczQuNDcgMTAgMTAgMTAgMTAtNC40NyAxMC0xMFMxNy41MyAyIDEyIDJ6bTAgMThjLTQuNDEgMC04LTMuNTktOC04czMuNTktOCA4LTggOCAzLjU5IDggOC0zLjU5IDgtOCA4eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-circle: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMTggMTgiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPGNpcmNsZSBjeD0iOSIgY3k9IjkiIHI9IjgiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-clear: url(data:image/svg+xml;base64,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);
+  --jp-icon-close: url(data:image/svg+xml;base64,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);
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+  --jp-icon-file-upload: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTkgMTZoNnYtNmg0bC03LTctNyA3aDR6bS00IDJoMTR2Mkg1eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-file: url(data:image/svg+xml;base64,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);
+  --jp-icon-filter-dot: url(data:image/svg+xml;base64,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);
+  --jp-icon-filter-list: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEwIDE4aDR2LTJoLTR2MnpNMyA2djJoMThWNkgzem0zIDdoMTJ2LTJINnYyeiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-filter: url(data:image/svg+xml;base64,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);
+  --jp-icon-folder-favorite: url(data:image/svg+xml;base64,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);
+  --jp-icon-folder: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMTAgNEg0Yy0xLjEgMC0xLjk5LjktMS45OSAyTDIgMThjMCAxLjEuOSAyIDIgMmgxNmMxLjEgMCAyLS45IDItMlY4YzAtMS4xLS45LTItMi0yaC04bC0yLTJ6Ii8+Cjwvc3ZnPgo=);
+  --jp-icon-home: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIGhlaWdodD0iMjRweCIgdmlld0JveD0iMCAwIDI0IDI0IiB3aWR0aD0iMjRweCIgZmlsbD0iIzAwMDAwMCI+CiAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPjxwYXRoIGNsYXNzPSJqcC1pY29uMyBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xMCAyMHYtNmg0djZoNXYtOGgzTDEyIDMgMiAxMmgzdjh6Ii8+Cjwvc3ZnPgo=);
+  --jp-icon-html5: url(data:image/svg+xml;base64,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);
+  --jp-icon-image: url(data:image/svg+xml;base64,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);
+  --jp-icon-info: url(data:image/svg+xml;base64,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);
+  --jp-icon-inspector: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaW5zcGVjdG9yLWljb24tY29sb3IganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMjAgNEg0Yy0xLjEgMC0xLjk5LjktMS45OSAyTDIgMThjMCAxLjEuOSAyIDIgMmgxNmMxLjEgMCAyLS45IDItMlY2YzAtMS4xLS45LTItMi0yem0tNSAxNEg0di00aDExdjR6bTAtNUg0VjloMTF2NHptNSA1aC00VjloNHY5eiIvPgo8L3N2Zz4K);
+  --jp-icon-json: url(data:image/svg+xml;base64,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);
+  --jp-icon-julia: url(data:image/svg+xml;base64,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);
+  --jp-icon-jupyter-favicon: url(data:image/svg+xml;base64,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);
+  --jp-icon-jupyter: url(data:image/svg+xml;base64,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);
+  --jp-icon-jupyterlab-wordmark: 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+  --jp-icon-kernel: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGNsYXNzPSJqcC1pY29uMiIgZmlsbD0iIzYxNjE2MSIgZD0iTTE1IDlIOXY2aDZWOXptLTIgNGgtMnYtMmgydjJ6bTgtMlY5aC0yVjdjMC0xLjEtLjktMi0yLTJoLTJWM2gtMnYyaC0yVjNIOXYySDdjLTEuMSAwLTIgLjktMiAydjJIM3YyaDJ2MkgzdjJoMnYyYzAgMS4xLjkgMiAyIDJoMnYyaDJ2LTJoMnYyaDJ2LTJoMmMxLjEgMCAyLS45IDItMnYtMmgydi0yaC0ydi0yaDJ6bS00IDZIN1Y3aDEwdjEweiIvPgo8L3N2Zz4K);
+  --jp-icon-keyboard: url(data:image/svg+xml;base64,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);
+  --jp-icon-launch: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMzIgMzIiIHdpZHRoPSIzMiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIj4KICAgIDxwYXRoIGQ9Ik0yNiwyOEg2YTIuMDAyNywyLjAwMjcsMCwwLDEtMi0yVjZBMi4wMDI3LDIuMDAyNywwLDAsMSw2LDRIMTZWNkg2VjI2SDI2VjE2aDJWMjZBMi4wMDI3LDIuMDAyNywwLDAsMSwyNiwyOFoiLz4KICAgIDxwb2x5Z29uIHBvaW50cz0iMjAgMiAyMCA0IDI2LjU4NiA0IDE4IDEyLjU4NiAxOS40MTQgMTQgMjggNS40MTQgMjggMTIgMzAgMTIgMzAgMiAyMCAyIi8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-launcher: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMTkgMTlINVY1aDdWM0g1YTIgMiAwIDAwLTIgMnYxNGEyIDIgMCAwMDIgMmgxNGMxLjEgMCAyLS45IDItMnYtN2gtMnY3ek0xNCAzdjJoMy41OWwtOS44MyA5LjgzIDEuNDEgMS40MUwxOSA2LjQxVjEwaDJWM2gtN3oiLz4KPC9zdmc+Cg==);
+  --jp-icon-line-form: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGZpbGw9IndoaXRlIiBkPSJNNS44OCA0LjEyTDEzLjc2IDEybC03Ljg4IDcuODhMOCAyMmwxMC0xMEw4IDJ6Ii8+Cjwvc3ZnPgo=);
+  --jp-icon-link: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTMuOSAxMmMwLTEuNzEgMS4zOS0zLjEgMy4xLTMuMWg0VjdIN2MtMi43NiAwLTUgMi4yNC01IDVzMi4yNCA1IDUgNWg0di0xLjlIN2MtMS43MSAwLTMuMS0xLjM5LTMuMS0zLjF6TTggMTNoOHYtMkg4djJ6bTktNmgtNHYxLjloNGMxLjcxIDAgMy4xIDEuMzkgMy4xIDMuMXMtMS4zOSAzLjEtMy4xIDMuMWgtNFYxN2g0YzIuNzYgMCA1LTIuMjQgNS01cy0yLjI0LTUtNS01eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-list: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGNsYXNzPSJqcC1pY29uMiBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xOSA1djE0SDVWNWgxNG0xLjEtMkgzLjljLS41IDAtLjkuNC0uOS45djE2LjJjMCAuNC40LjkuOS45aDE2LjJjLjQgMCAuOS0uNS45LS45VjMuOWMwLS41LS41LS45LS45LS45ek0xMSA3aDZ2MmgtNlY3em0wIDRoNnYyaC02di0yem0wIDRoNnYyaC02ek03IDdoMnYySDd6bTAgNGgydjJIN3ptMCA0aDJ2Mkg3eiIvPgo8L3N2Zz4K);
+  --jp-icon-markdown: url(data:image/svg+xml;base64,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);
+  --jp-icon-move-down: url(data:image/svg+xml;base64,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);
+  --jp-icon-move-up: url(data:image/svg+xml;base64,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);
+  --jp-icon-new-folder: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTIwIDZoLThsLTItMkg0Yy0xLjExIDAtMS45OS44OS0xLjk5IDJMMiAxOGMwIDEuMTEuODkgMiAyIDJoMTZjMS4xMSAwIDItLjg5IDItMlY4YzAtMS4xMS0uODktMi0yLTJ6bS0xIDhoLTN2M2gtMnYtM2gtM3YtMmgzVjloMnYzaDN2MnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-not-trusted: url(data:image/svg+xml;base64,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);
+  --jp-icon-notebook: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtbm90ZWJvb2staWNvbi1jb2xvciBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiNFRjZDMDAiPgogICAgPHBhdGggZD0iTTE4LjcgMy4zdjE1LjRIMy4zVjMuM2gxNS40bTEuNS0xLjVIMS44djE4LjNoMTguM2wuMS0xOC4zeiIvPgogICAgPHBhdGggZD0iTTE2LjUgMTYuNWwtNS40LTQuMy01LjYgNC4zdi0xMWgxMXoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-numbering: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjIiIGhlaWdodD0iMjIiIHZpZXdCb3g9IjAgMCAyOCAyOCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CgkJPHBhdGggZD0iTTQgMTlINlYxOS41SDVWMjAuNUg2VjIxSDRWMjJIN1YxOEg0VjE5Wk01IDEwSDZWNkg0VjdINVYxMFpNNCAxM0g1LjhMNCAxNS4xVjE2SDdWMTVINS4yTDcgMTIuOVYxMkg0VjEzWk05IDdWOUgyM1Y3SDlaTTkgMjFIMjNWMTlIOVYyMVpNOSAxNUgyM1YxM0g5VjE1WiIvPgoJPC9nPgo8L3N2Zz4K);
+  --jp-icon-offline-bolt: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAyNCAyNCIgd2lkdGg9IjE2Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyIDIuMDJjLTUuNTEgMC05Ljk4IDQuNDctOS45OCA5Ljk4czQuNDcgOS45OCA5Ljk4IDkuOTggOS45OC00LjQ3IDkuOTgtOS45OFMxNy41MSAyLjAyIDEyIDIuMDJ6TTExLjQ4IDIwdi02LjI2SDhMMTMgNHY2LjI2aDMuMzVMMTEuNDggMjB6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-palette: url(data:image/svg+xml;base64,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);
+  --jp-icon-paste: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTE5IDJoLTQuMThDMTQuNC44NCAxMy4zIDAgMTIgMGMtMS4zIDAtMi40Ljg0LTIuODIgMkg1Yy0xLjEgMC0yIC45LTIgMnYxNmMwIDEuMS45IDIgMiAyaDE0YzEuMSAwIDItLjkgMi0yVjRjMC0xLjEtLjktMi0yLTJ6bS03IDBjLjU1IDAgMSAuNDUgMSAxcy0uNDUgMS0xIDEtMS0uNDUtMS0xIC40NS0xIDEtMXptNyAxOEg1VjRoMnYzaDEwVjRoMnYxNnoiLz4KICAgIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-pdf: url(data:image/svg+xml;base64,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);
+  --jp-icon-python: url(data:image/svg+xml;base64,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);
+  --jp-icon-r-kernel: url(data:image/svg+xml;base64,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);
+  --jp-icon-react: url(data:image/svg+xml;base64,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);
+  --jp-icon-redo: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIGhlaWdodD0iMjQiIHZpZXdCb3g9IjAgMCAyNCAyNCIgd2lkdGg9IjE2Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgICA8cGF0aCBkPSJNMCAwaDI0djI0SDB6IiBmaWxsPSJub25lIi8+PHBhdGggZD0iTTE4LjQgMTAuNkMxNi41NSA4Ljk5IDE0LjE1IDggMTEuNSA4Yy00LjY1IDAtOC41OCAzLjAzLTkuOTYgNy4yMkwzLjkgMTZjMS4wNS0zLjE5IDQuMDUtNS41IDcuNi01LjUgMS45NSAwIDMuNzMuNzIgNS4xMiAxLjg4TDEzIDE2aDlWN2wtMy42IDMuNnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-refresh: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTkgMTMuNWMtMi40OSAwLTQuNS0yLjAxLTQuNS00LjVTNi41MSA0LjUgOSA0LjVjMS4yNCAwIDIuMzYuNTIgMy4xNyAxLjMzTDEwIDhoNVYzbC0xLjc2IDEuNzZDMTIuMTUgMy42OCAxMC42NiAzIDkgMyA1LjY5IDMgMy4wMSA1LjY5IDMuMDEgOVM1LjY5IDE1IDkgMTVjMi45NyAwIDUuNDMtMi4xNiA1LjktNWgtMS41MmMtLjQ2IDItMi4yNCAzLjUtNC4zOCAzLjV6Ii8+CiAgICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-regex: url(data:image/svg+xml;base64,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);
+  --jp-icon-run: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTggNXYxNGwxMS03eiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-running: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDUxMiA1MTIiPgogIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICA8cGF0aCBkPSJNMjU2IDhDMTE5IDggOCAxMTkgOCAyNTZzMTExIDI0OCAyNDggMjQ4IDI0OC0xMTEgMjQ4LTI0OFMzOTMgOCAyNTYgOHptOTYgMzI4YzAgOC44LTcuMiAxNi0xNiAxNkgxNzZjLTguOCAwLTE2LTcuMi0xNi0xNlYxNzZjMC04LjggNy4yLTE2IDE2LTE2aDE2MGM4LjggMCAxNiA3LjIgMTYgMTZ2MTYweiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-save: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTE3IDNINWMtMS4xMSAwLTIgLjktMiAydjE0YzAgMS4xLjg5IDIgMiAyaDE0YzEuMSAwIDItLjkgMi0yVjdsLTQtNHptLTUgMTZjLTEuNjYgMC0zLTEuMzQtMy0zczEuMzQtMyAzLTMgMyAxLjM0IDMgMy0xLjM0IDMtMyAzem0zLTEwSDVWNWgxMHY0eiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-search: url(data:image/svg+xml;base64,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);
+  --jp-icon-settings: url(data:image/svg+xml;base64,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);
+  --jp-icon-share: url(data:image/svg+xml;base64,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);
+  --jp-icon-spreadsheet: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8cGF0aCBjbGFzcz0ianAtaWNvbi1jb250cmFzdDEganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNENBRjUwIiBkPSJNMi4yIDIuMnYxNy42aDE3LjZWMi4ySDIuMnptMTUuNCA3LjdoLTUuNVY0LjRoNS41djUuNXpNOS45IDQuNHY1LjVINC40VjQuNGg1LjV6bS01LjUgNy43aDUuNXY1LjVINC40di01LjV6bTcuNyA1LjV2LTUuNWg1LjV2NS41aC01LjV6Ii8+Cjwvc3ZnPgo=);
+  --jp-icon-stop: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik02IDZoMTJ2MTJINnoiLz4KICAgIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-tab: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTIxIDNIM2MtMS4xIDAtMiAuOS0yIDJ2MTRjMCAxLjEuOSAyIDIgMmgxOGMxLjEgMCAyLS45IDItMlY1YzAtMS4xLS45LTItMi0yem0wIDE2SDNWNWgxMHY0aDh2MTB6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-table-rows: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik0yMSw4SDNWNGgxOFY4eiBNMjEsMTBIM3Y0aDE4VjEweiBNMjEsMTZIM3Y0aDE4VjE2eiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-tag: url(data:image/svg+xml;base64,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);
+  --jp-icon-terminal: url(data:image/svg+xml;base64,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);
+  --jp-icon-text-editor: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtdGV4dC1lZGl0b3ItaWNvbi1jb2xvciBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xNSAxNUgzdjJoMTJ2LTJ6bTAtOEgzdjJoMTJWN3pNMyAxM2gxOHYtMkgzdjJ6bTAgOGgxOHYtMkgzdjJ6TTMgM3YyaDE4VjNIM3oiLz4KPC9zdmc+Cg==);
+  --jp-icon-toc: url(data:image/svg+xml;base64,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);
+  --jp-icon-tree-view: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik0yMiAxMVYzaC03djNIOVYzSDJ2OGg3VjhoMnYxMGg0djNoN3YtOGgtN3YzaC0yVjhoMnYzeiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-trusted: url(data:image/svg+xml;base64,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);
+  --jp-icon-undo: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyLjUgOGMtMi42NSAwLTUuMDUuOTktNi45IDIuNkwyIDd2OWg5bC0zLjYyLTMuNjJjMS4zOS0xLjE2IDMuMTYtMS44OCA1LjEyLTEuODggMy41NCAwIDYuNTUgMi4zMSA3LjYgNS41bDIuMzctLjc4QzIxLjA4IDExLjAzIDE3LjE1IDggMTIuNSA4eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-user: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMTYiIHZpZXdCb3g9IjAgMCAyNCAyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE2IDdhNCA0IDAgMTEtOCAwIDQgNCAwIDAxOCAwek0xMiAxNGE3IDcgMCAwMC03IDdoMTRhNyA3IDAgMDAtNy03eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-users: url(data:image/svg+xml;base64,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);
+  --jp-icon-vega: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtaWNvbjEganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjMjEyMTIxIj4KICAgIDxwYXRoIGQ9Ik0xMC42IDUuNGwyLjItMy4ySDIuMnY3LjNsNC02LjZ6Ii8+CiAgICA8cGF0aCBkPSJNMTUuOCAyLjJsLTQuNCA2LjZMNyA2LjNsLTQuOCA4djUuNWgxNy42VjIuMmgtNHptLTcgMTUuNEg1LjV2LTQuNGgzLjN2NC40em00LjQgMEg5LjhWOS44aDMuNHY3Ljh6bTQuNCAwaC0zLjRWNi41aDMuNHYxMS4xeiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-word: url(data:image/svg+xml;base64,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);
+  --jp-icon-yaml: url(data:image/svg+xml;base64,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);
+}
+
+/* Icon CSS class declarations */
+
+.jp-AddAboveIcon {
+  background-image: var(--jp-icon-add-above);
+}
+
+.jp-AddBelowIcon {
+  background-image: var(--jp-icon-add-below);
+}
+
+.jp-AddIcon {
+  background-image: var(--jp-icon-add);
+}
+
+.jp-BellIcon {
+  background-image: var(--jp-icon-bell);
+}
+
+.jp-BugDotIcon {
+  background-image: var(--jp-icon-bug-dot);
+}
+
+.jp-BugIcon {
+  background-image: var(--jp-icon-bug);
+}
+
+.jp-BuildIcon {
+  background-image: var(--jp-icon-build);
+}
+
+.jp-CaretDownEmptyIcon {
+  background-image: var(--jp-icon-caret-down-empty);
+}
+
+.jp-CaretDownEmptyThinIcon {
+  background-image: var(--jp-icon-caret-down-empty-thin);
+}
+
+.jp-CaretDownIcon {
+  background-image: var(--jp-icon-caret-down);
+}
+
+.jp-CaretLeftIcon {
+  background-image: var(--jp-icon-caret-left);
+}
+
+.jp-CaretRightIcon {
+  background-image: var(--jp-icon-caret-right);
+}
+
+.jp-CaretUpEmptyThinIcon {
+  background-image: var(--jp-icon-caret-up-empty-thin);
+}
+
+.jp-CaretUpIcon {
+  background-image: var(--jp-icon-caret-up);
+}
+
+.jp-CaseSensitiveIcon {
+  background-image: var(--jp-icon-case-sensitive);
+}
+
+.jp-CheckIcon {
+  background-image: var(--jp-icon-check);
+}
+
+.jp-CircleEmptyIcon {
+  background-image: var(--jp-icon-circle-empty);
+}
+
+.jp-CircleIcon {
+  background-image: var(--jp-icon-circle);
+}
+
+.jp-ClearIcon {
+  background-image: var(--jp-icon-clear);
+}
+
+.jp-CloseIcon {
+  background-image: var(--jp-icon-close);
+}
+
+.jp-CodeCheckIcon {
+  background-image: var(--jp-icon-code-check);
+}
+
+.jp-CodeIcon {
+  background-image: var(--jp-icon-code);
+}
+
+.jp-CollapseAllIcon {
+  background-image: var(--jp-icon-collapse-all);
+}
+
+.jp-ConsoleIcon {
+  background-image: var(--jp-icon-console);
+}
+
+.jp-CopyIcon {
+  background-image: var(--jp-icon-copy);
+}
+
+.jp-CopyrightIcon {
+  background-image: var(--jp-icon-copyright);
+}
+
+.jp-CutIcon {
+  background-image: var(--jp-icon-cut);
+}
+
+.jp-DeleteIcon {
+  background-image: var(--jp-icon-delete);
+}
+
+.jp-DownloadIcon {
+  background-image: var(--jp-icon-download);
+}
+
+.jp-DuplicateIcon {
+  background-image: var(--jp-icon-duplicate);
+}
+
+.jp-EditIcon {
+  background-image: var(--jp-icon-edit);
+}
+
+.jp-EllipsesIcon {
+  background-image: var(--jp-icon-ellipses);
+}
+
+.jp-ErrorIcon {
+  background-image: var(--jp-icon-error);
+}
+
+.jp-ExpandAllIcon {
+  background-image: var(--jp-icon-expand-all);
+}
+
+.jp-ExtensionIcon {
+  background-image: var(--jp-icon-extension);
+}
+
+.jp-FastForwardIcon {
+  background-image: var(--jp-icon-fast-forward);
+}
+
+.jp-FileIcon {
+  background-image: var(--jp-icon-file);
+}
+
+.jp-FileUploadIcon {
+  background-image: var(--jp-icon-file-upload);
+}
+
+.jp-FilterDotIcon {
+  background-image: var(--jp-icon-filter-dot);
+}
+
+.jp-FilterIcon {
+  background-image: var(--jp-icon-filter);
+}
+
+.jp-FilterListIcon {
+  background-image: var(--jp-icon-filter-list);
+}
+
+.jp-FolderFavoriteIcon {
+  background-image: var(--jp-icon-folder-favorite);
+}
+
+.jp-FolderIcon {
+  background-image: var(--jp-icon-folder);
+}
+
+.jp-HomeIcon {
+  background-image: var(--jp-icon-home);
+}
+
+.jp-Html5Icon {
+  background-image: var(--jp-icon-html5);
+}
+
+.jp-ImageIcon {
+  background-image: var(--jp-icon-image);
+}
+
+.jp-InfoIcon {
+  background-image: var(--jp-icon-info);
+}
+
+.jp-InspectorIcon {
+  background-image: var(--jp-icon-inspector);
+}
+
+.jp-JsonIcon {
+  background-image: var(--jp-icon-json);
+}
+
+.jp-JuliaIcon {
+  background-image: var(--jp-icon-julia);
+}
+
+.jp-JupyterFaviconIcon {
+  background-image: var(--jp-icon-jupyter-favicon);
+}
+
+.jp-JupyterIcon {
+  background-image: var(--jp-icon-jupyter);
+}
+
+.jp-JupyterlabWordmarkIcon {
+  background-image: var(--jp-icon-jupyterlab-wordmark);
+}
+
+.jp-KernelIcon {
+  background-image: var(--jp-icon-kernel);
+}
+
+.jp-KeyboardIcon {
+  background-image: var(--jp-icon-keyboard);
+}
+
+.jp-LaunchIcon {
+  background-image: var(--jp-icon-launch);
+}
+
+.jp-LauncherIcon {
+  background-image: var(--jp-icon-launcher);
+}
+
+.jp-LineFormIcon {
+  background-image: var(--jp-icon-line-form);
+}
+
+.jp-LinkIcon {
+  background-image: var(--jp-icon-link);
+}
+
+.jp-ListIcon {
+  background-image: var(--jp-icon-list);
+}
+
+.jp-MarkdownIcon {
+  background-image: var(--jp-icon-markdown);
+}
+
+.jp-MoveDownIcon {
+  background-image: var(--jp-icon-move-down);
+}
+
+.jp-MoveUpIcon {
+  background-image: var(--jp-icon-move-up);
+}
+
+.jp-NewFolderIcon {
+  background-image: var(--jp-icon-new-folder);
+}
+
+.jp-NotTrustedIcon {
+  background-image: var(--jp-icon-not-trusted);
+}
+
+.jp-NotebookIcon {
+  background-image: var(--jp-icon-notebook);
+}
+
+.jp-NumberingIcon {
+  background-image: var(--jp-icon-numbering);
+}
+
+.jp-OfflineBoltIcon {
+  background-image: var(--jp-icon-offline-bolt);
+}
+
+.jp-PaletteIcon {
+  background-image: var(--jp-icon-palette);
+}
+
+.jp-PasteIcon {
+  background-image: var(--jp-icon-paste);
+}
+
+.jp-PdfIcon {
+  background-image: var(--jp-icon-pdf);
+}
+
+.jp-PythonIcon {
+  background-image: var(--jp-icon-python);
+}
+
+.jp-RKernelIcon {
+  background-image: var(--jp-icon-r-kernel);
+}
+
+.jp-ReactIcon {
+  background-image: var(--jp-icon-react);
+}
+
+.jp-RedoIcon {
+  background-image: var(--jp-icon-redo);
+}
+
+.jp-RefreshIcon {
+  background-image: var(--jp-icon-refresh);
+}
+
+.jp-RegexIcon {
+  background-image: var(--jp-icon-regex);
+}
+
+.jp-RunIcon {
+  background-image: var(--jp-icon-run);
+}
+
+.jp-RunningIcon {
+  background-image: var(--jp-icon-running);
+}
+
+.jp-SaveIcon {
+  background-image: var(--jp-icon-save);
+}
+
+.jp-SearchIcon {
+  background-image: var(--jp-icon-search);
+}
+
+.jp-SettingsIcon {
+  background-image: var(--jp-icon-settings);
+}
+
+.jp-ShareIcon {
+  background-image: var(--jp-icon-share);
+}
+
+.jp-SpreadsheetIcon {
+  background-image: var(--jp-icon-spreadsheet);
+}
+
+.jp-StopIcon {
+  background-image: var(--jp-icon-stop);
+}
+
+.jp-TabIcon {
+  background-image: var(--jp-icon-tab);
+}
+
+.jp-TableRowsIcon {
+  background-image: var(--jp-icon-table-rows);
+}
+
+.jp-TagIcon {
+  background-image: var(--jp-icon-tag);
+}
+
+.jp-TerminalIcon {
+  background-image: var(--jp-icon-terminal);
+}
+
+.jp-TextEditorIcon {
+  background-image: var(--jp-icon-text-editor);
+}
+
+.jp-TocIcon {
+  background-image: var(--jp-icon-toc);
+}
+
+.jp-TreeViewIcon {
+  background-image: var(--jp-icon-tree-view);
+}
+
+.jp-TrustedIcon {
+  background-image: var(--jp-icon-trusted);
+}
+
+.jp-UndoIcon {
+  background-image: var(--jp-icon-undo);
+}
+
+.jp-UserIcon {
+  background-image: var(--jp-icon-user);
+}
+
+.jp-UsersIcon {
+  background-image: var(--jp-icon-users);
+}
+
+.jp-VegaIcon {
+  background-image: var(--jp-icon-vega);
+}
+
+.jp-WordIcon {
+  background-image: var(--jp-icon-word);
+}
+
+.jp-YamlIcon {
+  background-image: var(--jp-icon-yaml);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/**
+ * (DEPRECATED) Support for consuming icons as CSS background images
+ */
+
+.jp-Icon,
+.jp-MaterialIcon {
+  background-position: center;
+  background-repeat: no-repeat;
+  background-size: 16px;
+  min-width: 16px;
+  min-height: 16px;
+}
+
+.jp-Icon-cover {
+  background-position: center;
+  background-repeat: no-repeat;
+  background-size: cover;
+}
+
+/**
+ * (DEPRECATED) Support for specific CSS icon sizes
+ */
+
+.jp-Icon-16 {
+  background-size: 16px;
+  min-width: 16px;
+  min-height: 16px;
+}
+
+.jp-Icon-18 {
+  background-size: 18px;
+  min-width: 18px;
+  min-height: 18px;
+}
+
+.jp-Icon-20 {
+  background-size: 20px;
+  min-width: 20px;
+  min-height: 20px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.lm-TabBar .lm-TabBar-addButton {
+  align-items: center;
+  display: flex;
+  padding: 4px;
+  padding-bottom: 5px;
+  margin-right: 1px;
+  background-color: var(--jp-layout-color2);
+}
+
+.lm-TabBar .lm-TabBar-addButton:hover {
+  background-color: var(--jp-layout-color1);
+}
+
+.lm-DockPanel-tabBar .lm-TabBar-tab {
+  width: var(--jp-private-horizontal-tab-width);
+}
+
+.lm-DockPanel-tabBar .lm-TabBar-content {
+  flex: unset;
+}
+
+.lm-DockPanel-tabBar[data-orientation='horizontal'] {
+  flex: 1 1 auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/**
+ * Support for icons as inline SVG HTMLElements
+ */
+
+/* recolor the primary elements of an icon */
+.jp-icon0[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon1[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon2[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon3[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon4[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon0[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon1[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon2[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon3[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon4[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/* recolor the accent elements of an icon */
+.jp-icon-accent0[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.jp-icon-accent1[fill] {
+  fill: var(--jp-layout-color1);
+}
+
+.jp-icon-accent2[fill] {
+  fill: var(--jp-layout-color2);
+}
+
+.jp-icon-accent3[fill] {
+  fill: var(--jp-layout-color3);
+}
+
+.jp-icon-accent4[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-accent0[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-accent1[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-accent2[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-accent3[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-accent4[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* set the color of an icon to transparent */
+.jp-icon-none[fill] {
+  fill: none;
+}
+
+.jp-icon-none[stroke] {
+  stroke: none;
+}
+
+/* brand icon colors. Same for light and dark */
+.jp-icon-brand0[fill] {
+  fill: var(--jp-brand-color0);
+}
+
+.jp-icon-brand1[fill] {
+  fill: var(--jp-brand-color1);
+}
+
+.jp-icon-brand2[fill] {
+  fill: var(--jp-brand-color2);
+}
+
+.jp-icon-brand3[fill] {
+  fill: var(--jp-brand-color3);
+}
+
+.jp-icon-brand4[fill] {
+  fill: var(--jp-brand-color4);
+}
+
+.jp-icon-brand0[stroke] {
+  stroke: var(--jp-brand-color0);
+}
+
+.jp-icon-brand1[stroke] {
+  stroke: var(--jp-brand-color1);
+}
+
+.jp-icon-brand2[stroke] {
+  stroke: var(--jp-brand-color2);
+}
+
+.jp-icon-brand3[stroke] {
+  stroke: var(--jp-brand-color3);
+}
+
+.jp-icon-brand4[stroke] {
+  stroke: var(--jp-brand-color4);
+}
+
+/* warn icon colors. Same for light and dark */
+.jp-icon-warn0[fill] {
+  fill: var(--jp-warn-color0);
+}
+
+.jp-icon-warn1[fill] {
+  fill: var(--jp-warn-color1);
+}
+
+.jp-icon-warn2[fill] {
+  fill: var(--jp-warn-color2);
+}
+
+.jp-icon-warn3[fill] {
+  fill: var(--jp-warn-color3);
+}
+
+.jp-icon-warn0[stroke] {
+  stroke: var(--jp-warn-color0);
+}
+
+.jp-icon-warn1[stroke] {
+  stroke: var(--jp-warn-color1);
+}
+
+.jp-icon-warn2[stroke] {
+  stroke: var(--jp-warn-color2);
+}
+
+.jp-icon-warn3[stroke] {
+  stroke: var(--jp-warn-color3);
+}
+
+/* icon colors that contrast well with each other and most backgrounds */
+.jp-icon-contrast0[fill] {
+  fill: var(--jp-icon-contrast-color0);
+}
+
+.jp-icon-contrast1[fill] {
+  fill: var(--jp-icon-contrast-color1);
+}
+
+.jp-icon-contrast2[fill] {
+  fill: var(--jp-icon-contrast-color2);
+}
+
+.jp-icon-contrast3[fill] {
+  fill: var(--jp-icon-contrast-color3);
+}
+
+.jp-icon-contrast0[stroke] {
+  stroke: var(--jp-icon-contrast-color0);
+}
+
+.jp-icon-contrast1[stroke] {
+  stroke: var(--jp-icon-contrast-color1);
+}
+
+.jp-icon-contrast2[stroke] {
+  stroke: var(--jp-icon-contrast-color2);
+}
+
+.jp-icon-contrast3[stroke] {
+  stroke: var(--jp-icon-contrast-color3);
+}
+
+.jp-icon-dot[fill] {
+  fill: var(--jp-warn-color0);
+}
+
+.jp-jupyter-icon-color[fill] {
+  fill: var(--jp-jupyter-icon-color, var(--jp-warn-color0));
+}
+
+.jp-notebook-icon-color[fill] {
+  fill: var(--jp-notebook-icon-color, var(--jp-warn-color0));
+}
+
+.jp-json-icon-color[fill] {
+  fill: var(--jp-json-icon-color, var(--jp-warn-color1));
+}
+
+.jp-console-icon-color[fill] {
+  fill: var(--jp-console-icon-color, white);
+}
+
+.jp-console-icon-background-color[fill] {
+  fill: var(--jp-console-icon-background-color, var(--jp-brand-color1));
+}
+
+.jp-terminal-icon-color[fill] {
+  fill: var(--jp-terminal-icon-color, var(--jp-layout-color2));
+}
+
+.jp-terminal-icon-background-color[fill] {
+  fill: var(
+    --jp-terminal-icon-background-color,
+    var(--jp-inverse-layout-color2)
+  );
+}
+
+.jp-text-editor-icon-color[fill] {
+  fill: var(--jp-text-editor-icon-color, var(--jp-inverse-layout-color3));
+}
+
+.jp-inspector-icon-color[fill] {
+  fill: var(--jp-inspector-icon-color, var(--jp-inverse-layout-color3));
+}
+
+/* CSS for icons in selected filebrowser listing items */
+.jp-DirListing-item.jp-mod-selected .jp-icon-selectable[fill] {
+  fill: #fff;
+}
+
+.jp-DirListing-item.jp-mod-selected .jp-icon-selectable-inverse[fill] {
+  fill: var(--jp-brand-color1);
+}
+
+/* stylelint-disable selector-max-class, selector-max-compound-selectors */
+
+/**
+* TODO: come up with non css-hack solution for showing the busy icon on top
+*  of the close icon
+* CSS for complex behavior of close icon of tabs in the main area tabbar
+*/
+.lm-DockPanel-tabBar
+  .lm-TabBar-tab.lm-mod-closable.jp-mod-dirty
+  > .lm-TabBar-tabCloseIcon
+  > :not(:hover)
+  > .jp-icon3[fill] {
+  fill: none;
+}
+
+.lm-DockPanel-tabBar
+  .lm-TabBar-tab.lm-mod-closable.jp-mod-dirty
+  > .lm-TabBar-tabCloseIcon
+  > :not(:hover)
+  > .jp-icon-busy[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+/* stylelint-enable selector-max-class, selector-max-compound-selectors */
+
+/* CSS for icons in status bar */
+#jp-main-statusbar .jp-mod-selected .jp-icon-selectable[fill] {
+  fill: #fff;
+}
+
+#jp-main-statusbar .jp-mod-selected .jp-icon-selectable-inverse[fill] {
+  fill: var(--jp-brand-color1);
+}
+
+/* special handling for splash icon CSS. While the theme CSS reloads during
+   splash, the splash icon can loose theming. To prevent that, we set a
+   default for its color variable */
+:root {
+  --jp-warn-color0: var(--md-orange-700);
+}
+
+/* not sure what to do with this one, used in filebrowser listing */
+.jp-DragIcon {
+  margin-right: 4px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/**
+ * Support for alt colors for icons as inline SVG HTMLElements
+ */
+
+/* alt recolor the primary elements of an icon */
+.jp-icon-alt .jp-icon0[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.jp-icon-alt .jp-icon1[fill] {
+  fill: var(--jp-layout-color1);
+}
+
+.jp-icon-alt .jp-icon2[fill] {
+  fill: var(--jp-layout-color2);
+}
+
+.jp-icon-alt .jp-icon3[fill] {
+  fill: var(--jp-layout-color3);
+}
+
+.jp-icon-alt .jp-icon4[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-alt .jp-icon0[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-alt .jp-icon1[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-alt .jp-icon2[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-alt .jp-icon3[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-alt .jp-icon4[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* alt recolor the accent elements of an icon */
+.jp-icon-alt .jp-icon-accent0[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-alt .jp-icon-accent1[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-alt .jp-icon-accent2[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-alt .jp-icon-accent3[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-alt .jp-icon-accent4[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon-alt .jp-icon-accent0[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-alt .jp-icon-accent1[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-alt .jp-icon-accent2[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-alt .jp-icon-accent3[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-alt .jp-icon-accent4[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-icon-hoverShow:not(:hover) .jp-icon-hoverShow-content {
+  display: none !important;
+}
+
+/**
+ * Support for hover colors for icons as inline SVG HTMLElements
+ */
+
+/**
+ * regular colors
+ */
+
+/* recolor the primary elements of an icon */
+.jp-icon-hover :hover .jp-icon0-hover[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon1-hover[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon2-hover[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon3-hover[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon4-hover[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon-hover :hover .jp-icon0-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon1-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon2-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon3-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon4-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/* recolor the accent elements of an icon */
+.jp-icon-hover :hover .jp-icon-accent0-hover[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon-accent1-hover[fill] {
+  fill: var(--jp-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon-accent2-hover[fill] {
+  fill: var(--jp-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon-accent3-hover[fill] {
+  fill: var(--jp-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon-accent4-hover[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-hover :hover .jp-icon-accent0-hover[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon-accent1-hover[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon-accent2-hover[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon-accent3-hover[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon-accent4-hover[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* set the color of an icon to transparent */
+.jp-icon-hover :hover .jp-icon-none-hover[fill] {
+  fill: none;
+}
+
+.jp-icon-hover :hover .jp-icon-none-hover[stroke] {
+  stroke: none;
+}
+
+/**
+ * inverse colors
+ */
+
+/* inverse recolor the primary elements of an icon */
+.jp-icon-hover.jp-icon-alt :hover .jp-icon0-hover[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon1-hover[fill] {
+  fill: var(--jp-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon2-hover[fill] {
+  fill: var(--jp-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon3-hover[fill] {
+  fill: var(--jp-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon4-hover[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon0-hover[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon1-hover[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon2-hover[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon3-hover[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon4-hover[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* inverse recolor the accent elements of an icon */
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent0-hover[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent1-hover[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent2-hover[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent3-hover[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent4-hover[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent0-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent1-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent2-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent3-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent4-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-IFrame {
+  width: 100%;
+  height: 100%;
+}
+
+.jp-IFrame > iframe {
+  border: none;
+}
+
+/*
+When drag events occur, `lm-mod-override-cursor` is added to the body.
+Because iframes steal all cursor events, the following two rules are necessary
+to suppress pointer events while resize drags are occurring. There may be a
+better solution to this problem.
+*/
+body.lm-mod-override-cursor .jp-IFrame {
+  position: relative;
+}
+
+body.lm-mod-override-cursor .jp-IFrame::before {
+  content: '';
+  position: absolute;
+  top: 0;
+  left: 0;
+  right: 0;
+  bottom: 0;
+  background: transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-HoverBox {
+  position: fixed;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-FormGroup-content fieldset {
+  border: none;
+  padding: 0;
+  min-width: 0;
+  width: 100%;
+}
+
+/* stylelint-disable selector-max-type */
+
+.jp-FormGroup-content fieldset .jp-inputFieldWrapper input,
+.jp-FormGroup-content fieldset .jp-inputFieldWrapper select,
+.jp-FormGroup-content fieldset .jp-inputFieldWrapper textarea {
+  font-size: var(--jp-content-font-size2);
+  border-color: var(--jp-input-border-color);
+  border-style: solid;
+  border-radius: var(--jp-border-radius);
+  border-width: 1px;
+  padding: 6px 8px;
+  background: none;
+  color: var(--jp-ui-font-color0);
+  height: inherit;
+}
+
+.jp-FormGroup-content fieldset input[type='checkbox'] {
+  position: relative;
+  top: 2px;
+  margin-left: 0;
+}
+
+.jp-FormGroup-content button.jp-mod-styled {
+  cursor: pointer;
+}
+
+.jp-FormGroup-content .checkbox label {
+  cursor: pointer;
+  font-size: var(--jp-content-font-size1);
+}
+
+.jp-FormGroup-content .jp-root > fieldset > legend {
+  display: none;
+}
+
+.jp-FormGroup-content .jp-root > fieldset > p {
+  display: none;
+}
+
+/** copy of `input.jp-mod-styled:focus` style */
+.jp-FormGroup-content fieldset input:focus,
+.jp-FormGroup-content fieldset select:focus {
+  -moz-outline-radius: unset;
+  outline: var(--jp-border-width) solid var(--md-blue-500);
+  outline-offset: -1px;
+  box-shadow: inset 0 0 4px var(--md-blue-300);
+}
+
+.jp-FormGroup-content fieldset input:hover:not(:focus),
+.jp-FormGroup-content fieldset select:hover:not(:focus) {
+  background-color: var(--jp-border-color2);
+}
+
+/* stylelint-enable selector-max-type */
+
+.jp-FormGroup-content .checkbox .field-description {
+  /* Disable default description field for checkbox:
+   because other widgets do not have description fields,
+   we add descriptions to each widget on the field level.
+  */
+  display: none;
+}
+
+.jp-FormGroup-content #root__description {
+  display: none;
+}
+
+.jp-FormGroup-content .jp-modifiedIndicator {
+  width: 5px;
+  background-color: var(--jp-brand-color2);
+  margin-top: 0;
+  margin-left: calc(var(--jp-private-settingeditor-modifier-indent) * -1);
+  flex-shrink: 0;
+}
+
+.jp-FormGroup-content .jp-modifiedIndicator.jp-errorIndicator {
+  background-color: var(--jp-error-color0);
+  margin-right: 0.5em;
+}
+
+/* RJSF ARRAY style */
+
+.jp-arrayFieldWrapper legend {
+  font-size: var(--jp-content-font-size2);
+  color: var(--jp-ui-font-color0);
+  flex-basis: 100%;
+  padding: 4px 0;
+  font-weight: var(--jp-content-heading-font-weight);
+  border-bottom: 1px solid var(--jp-border-color2);
+}
+
+.jp-arrayFieldWrapper .field-description {
+  padding: 4px 0;
+  white-space: pre-wrap;
+}
+
+.jp-arrayFieldWrapper .array-item {
+  width: 100%;
+  border: 1px solid var(--jp-border-color2);
+  border-radius: 4px;
+  margin: 4px;
+}
+
+.jp-ArrayOperations {
+  display: flex;
+  margin-left: 8px;
+}
+
+.jp-ArrayOperationsButton {
+  margin: 2px;
+}
+
+.jp-ArrayOperationsButton .jp-icon3[fill] {
+  fill: var(--jp-ui-font-color0);
+}
+
+button.jp-ArrayOperationsButton.jp-mod-styled:disabled {
+  cursor: not-allowed;
+  opacity: 0.5;
+}
+
+/* RJSF form validation error */
+
+.jp-FormGroup-content .validationErrors {
+  color: var(--jp-error-color0);
+}
+
+/* Hide panel level error as duplicated the field level error */
+.jp-FormGroup-content .panel.errors {
+  display: none;
+}
+
+/* RJSF normal content (settings-editor) */
+
+.jp-FormGroup-contentNormal {
+  display: flex;
+  align-items: center;
+  flex-wrap: wrap;
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-contentItem {
+  margin-left: 7px;
+  color: var(--jp-ui-font-color0);
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-description {
+  flex-basis: 100%;
+  padding: 4px 7px;
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-default {
+  flex-basis: 100%;
+  padding: 4px 7px;
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-fieldLabel {
+  font-size: var(--jp-content-font-size1);
+  font-weight: normal;
+  min-width: 120px;
+}
+
+.jp-FormGroup-contentNormal fieldset:not(:first-child) {
+  margin-left: 7px;
+}
+
+.jp-FormGroup-contentNormal .field-array-of-string .array-item {
+  /* Display `jp-ArrayOperations` buttons side-by-side with content except
+    for small screens where flex-wrap will place them one below the other.
+  */
+  display: flex;
+  align-items: center;
+  flex-wrap: wrap;
+}
+
+.jp-FormGroup-contentNormal .jp-objectFieldWrapper .form-group {
+  padding: 2px 8px 2px var(--jp-private-settingeditor-modifier-indent);
+  margin-top: 2px;
+}
+
+/* RJSF compact content (metadata-form) */
+
+.jp-FormGroup-content.jp-FormGroup-contentCompact {
+  width: 100%;
+}
+
+.jp-FormGroup-contentCompact .form-group {
+  display: flex;
+  padding: 0.5em 0.2em 0.5em 0;
+}
+
+.jp-FormGroup-contentCompact
+  .jp-FormGroup-compactTitle
+  .jp-FormGroup-description {
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-FormGroup-contentCompact .jp-FormGroup-fieldLabel {
+  padding-bottom: 0.3em;
+}
+
+.jp-FormGroup-contentCompact .jp-inputFieldWrapper .form-control {
+  width: 100%;
+  box-sizing: border-box;
+}
+
+.jp-FormGroup-contentCompact .jp-arrayFieldWrapper .jp-FormGroup-compactTitle {
+  padding-bottom: 7px;
+}
+
+.jp-FormGroup-contentCompact
+  .jp-objectFieldWrapper
+  .jp-objectFieldWrapper
+  .form-group {
+  padding: 2px 8px 2px var(--jp-private-settingeditor-modifier-indent);
+  margin-top: 2px;
+}
+
+.jp-FormGroup-contentCompact ul.error-detail {
+  margin-block-start: 0.5em;
+  margin-block-end: 0.5em;
+  padding-inline-start: 1em;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-SidePanel {
+  display: flex;
+  flex-direction: column;
+  min-width: var(--jp-sidebar-min-width);
+  overflow-y: auto;
+  color: var(--jp-ui-font-color1);
+  background: var(--jp-layout-color1);
+  font-size: var(--jp-ui-font-size1);
+}
+
+.jp-SidePanel-header {
+  flex: 0 0 auto;
+  display: flex;
+  border-bottom: var(--jp-border-width) solid var(--jp-border-color2);
+  font-size: var(--jp-ui-font-size0);
+  font-weight: 600;
+  letter-spacing: 1px;
+  margin: 0;
+  padding: 2px;
+  text-transform: uppercase;
+}
+
+.jp-SidePanel-toolbar {
+  flex: 0 0 auto;
+}
+
+.jp-SidePanel-content {
+  flex: 1 1 auto;
+}
+
+.jp-SidePanel-toolbar,
+.jp-AccordionPanel-toolbar {
+  height: var(--jp-private-toolbar-height);
+}
+
+.jp-SidePanel-toolbar.jp-Toolbar-micro {
+  display: none;
+}
+
+.lm-AccordionPanel .jp-AccordionPanel-title {
+  box-sizing: border-box;
+  line-height: 25px;
+  margin: 0;
+  display: flex;
+  align-items: center;
+  background: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  font-size: var(--jp-ui-font-size0);
+}
+
+.jp-AccordionPanel-title {
+  cursor: pointer;
+  user-select: none;
+  -moz-user-select: none;
+  -webkit-user-select: none;
+  text-transform: uppercase;
+}
+
+.lm-AccordionPanel[data-orientation='horizontal'] > .jp-AccordionPanel-title {
+  /* Title is rotated for horizontal accordion panel using CSS */
+  display: block;
+  transform-origin: top left;
+  transform: rotate(-90deg) translate(-100%);
+}
+
+.jp-AccordionPanel-title .lm-AccordionPanel-titleLabel {
+  user-select: none;
+  text-overflow: ellipsis;
+  white-space: nowrap;
+  overflow: hidden;
+}
+
+.jp-AccordionPanel-title .lm-AccordionPanel-titleCollapser {
+  transform: rotate(-90deg);
+  margin: auto 0;
+  height: 16px;
+}
+
+.jp-AccordionPanel-title.lm-mod-expanded .lm-AccordionPanel-titleCollapser {
+  transform: rotate(0deg);
+}
+
+.lm-AccordionPanel .jp-AccordionPanel-toolbar {
+  background: none;
+  box-shadow: none;
+  border: none;
+  margin-left: auto;
+}
+
+.lm-AccordionPanel .lm-SplitPanel-handle:hover {
+  background: var(--jp-layout-color3);
+}
+
+.jp-text-truncated {
+  overflow: hidden;
+  text-overflow: ellipsis;
+  white-space: nowrap;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Spinner {
+  position: absolute;
+  display: flex;
+  justify-content: center;
+  align-items: center;
+  z-index: 10;
+  left: 0;
+  top: 0;
+  width: 100%;
+  height: 100%;
+  background: var(--jp-layout-color0);
+  outline: none;
+}
+
+.jp-SpinnerContent {
+  font-size: 10px;
+  margin: 50px auto;
+  text-indent: -9999em;
+  width: 3em;
+  height: 3em;
+  border-radius: 50%;
+  background: var(--jp-brand-color3);
+  background: linear-gradient(
+    to right,
+    #f37626 10%,
+    rgba(255, 255, 255, 0) 42%
+  );
+  position: relative;
+  animation: load3 1s infinite linear, fadeIn 1s;
+}
+
+.jp-SpinnerContent::before {
+  width: 50%;
+  height: 50%;
+  background: #f37626;
+  border-radius: 100% 0 0;
+  position: absolute;
+  top: 0;
+  left: 0;
+  content: '';
+}
+
+.jp-SpinnerContent::after {
+  background: var(--jp-layout-color0);
+  width: 75%;
+  height: 75%;
+  border-radius: 50%;
+  content: '';
+  margin: auto;
+  position: absolute;
+  top: 0;
+  left: 0;
+  bottom: 0;
+  right: 0;
+}
+
+@keyframes fadeIn {
+  0% {
+    opacity: 0;
+  }
+
+  100% {
+    opacity: 1;
+  }
+}
+
+@keyframes load3 {
+  0% {
+    transform: rotate(0deg);
+  }
+
+  100% {
+    transform: rotate(360deg);
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+button.jp-mod-styled {
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color0);
+  border: none;
+  box-sizing: border-box;
+  text-align: center;
+  line-height: 32px;
+  height: 32px;
+  padding: 0 12px;
+  letter-spacing: 0.8px;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+}
+
+input.jp-mod-styled {
+  background: var(--jp-input-background);
+  height: 28px;
+  box-sizing: border-box;
+  border: var(--jp-border-width) solid var(--jp-border-color1);
+  padding-left: 7px;
+  padding-right: 7px;
+  font-size: var(--jp-ui-font-size2);
+  color: var(--jp-ui-font-color0);
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+}
+
+input[type='checkbox'].jp-mod-styled {
+  appearance: checkbox;
+  -webkit-appearance: checkbox;
+  -moz-appearance: checkbox;
+  height: auto;
+}
+
+input.jp-mod-styled:focus {
+  border: var(--jp-border-width) solid var(--md-blue-500);
+  box-shadow: inset 0 0 4px var(--md-blue-300);
+}
+
+.jp-select-wrapper {
+  display: flex;
+  position: relative;
+  flex-direction: column;
+  padding: 1px;
+  background-color: var(--jp-layout-color1);
+  box-sizing: border-box;
+  margin-bottom: 12px;
+}
+
+.jp-select-wrapper:not(.multiple) {
+  height: 28px;
+}
+
+.jp-select-wrapper.jp-mod-focused select.jp-mod-styled {
+  border: var(--jp-border-width) solid var(--jp-input-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+  background-color: var(--jp-input-active-background);
+}
+
+select.jp-mod-styled:hover {
+  cursor: pointer;
+  color: var(--jp-ui-font-color0);
+  background-color: var(--jp-input-hover-background);
+  box-shadow: inset 0 0 1px rgba(0, 0, 0, 0.5);
+}
+
+select.jp-mod-styled {
+  flex: 1 1 auto;
+  width: 100%;
+  font-size: var(--jp-ui-font-size2);
+  background: var(--jp-input-background);
+  color: var(--jp-ui-font-color0);
+  padding: 0 25px 0 8px;
+  border: var(--jp-border-width) solid var(--jp-input-border-color);
+  border-radius: 0;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+}
+
+select.jp-mod-styled:not([multiple]) {
+  height: 32px;
+}
+
+select.jp-mod-styled[multiple] {
+  max-height: 200px;
+  overflow-y: auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-switch {
+  display: flex;
+  align-items: center;
+  padding-left: 4px;
+  padding-right: 4px;
+  font-size: var(--jp-ui-font-size1);
+  background-color: transparent;
+  color: var(--jp-ui-font-color1);
+  border: none;
+  height: 20px;
+}
+
+.jp-switch:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-switch-label {
+  margin-right: 5px;
+  font-family: var(--jp-ui-font-family);
+}
+
+.jp-switch-track {
+  cursor: pointer;
+  background-color: var(--jp-switch-color, var(--jp-border-color1));
+  -webkit-transition: 0.4s;
+  transition: 0.4s;
+  border-radius: 34px;
+  height: 16px;
+  width: 35px;
+  position: relative;
+}
+
+.jp-switch-track::before {
+  content: '';
+  position: absolute;
+  height: 10px;
+  width: 10px;
+  margin: 3px;
+  left: 0;
+  background-color: var(--jp-ui-inverse-font-color1);
+  -webkit-transition: 0.4s;
+  transition: 0.4s;
+  border-radius: 50%;
+}
+
+.jp-switch[aria-checked='true'] .jp-switch-track {
+  background-color: var(--jp-switch-true-position-color, var(--jp-warn-color0));
+}
+
+.jp-switch[aria-checked='true'] .jp-switch-track::before {
+  /* track width (35) - margins (3 + 3) - thumb width (10) */
+  left: 19px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-toolbar-height: calc(
+    28px + var(--jp-border-width)
+  ); /* leave 28px for content */
+}
+
+.jp-Toolbar {
+  color: var(--jp-ui-font-color1);
+  flex: 0 0 auto;
+  display: flex;
+  flex-direction: row;
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  background: var(--jp-toolbar-background);
+  min-height: var(--jp-toolbar-micro-height);
+  padding: 2px;
+  z-index: 8;
+  overflow-x: hidden;
+}
+
+/* Toolbar items */
+
+.jp-Toolbar > .jp-Toolbar-item.jp-Toolbar-spacer {
+  flex-grow: 1;
+  flex-shrink: 1;
+}
+
+.jp-Toolbar-item.jp-Toolbar-kernelStatus {
+  display: inline-block;
+  width: 32px;
+  background-repeat: no-repeat;
+  background-position: center;
+  background-size: 16px;
+}
+
+.jp-Toolbar > .jp-Toolbar-item {
+  flex: 0 0 auto;
+  display: flex;
+  padding-left: 1px;
+  padding-right: 1px;
+  font-size: var(--jp-ui-font-size1);
+  line-height: var(--jp-private-toolbar-height);
+  height: 100%;
+}
+
+/* Toolbar buttons */
+
+/* This is the div we use to wrap the react component into a Widget */
+div.jp-ToolbarButton {
+  color: transparent;
+  border: none;
+  box-sizing: border-box;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+  padding: 0;
+  margin: 0;
+}
+
+button.jp-ToolbarButtonComponent {
+  background: var(--jp-layout-color1);
+  border: none;
+  box-sizing: border-box;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+  padding: 0 6px;
+  margin: 0;
+  height: 24px;
+  border-radius: var(--jp-border-radius);
+  display: flex;
+  align-items: center;
+  text-align: center;
+  font-size: 14px;
+  min-width: unset;
+  min-height: unset;
+}
+
+button.jp-ToolbarButtonComponent:disabled {
+  opacity: 0.4;
+}
+
+button.jp-ToolbarButtonComponent > span {
+  padding: 0;
+  flex: 0 0 auto;
+}
+
+button.jp-ToolbarButtonComponent .jp-ToolbarButtonComponent-label {
+  font-size: var(--jp-ui-font-size1);
+  line-height: 100%;
+  padding-left: 2px;
+  color: var(--jp-ui-font-color1);
+  font-family: var(--jp-ui-font-family);
+}
+
+#jp-main-dock-panel[data-mode='single-document']
+  .jp-MainAreaWidget
+  > .jp-Toolbar.jp-Toolbar-micro {
+  padding: 0;
+  min-height: 0;
+}
+
+#jp-main-dock-panel[data-mode='single-document']
+  .jp-MainAreaWidget
+  > .jp-Toolbar {
+  border: none;
+  box-shadow: none;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-WindowedPanel-outer {
+  position: relative;
+  overflow-y: auto;
+}
+
+.jp-WindowedPanel-inner {
+  position: relative;
+}
+
+.jp-WindowedPanel-window {
+  position: absolute;
+  left: 0;
+  right: 0;
+  overflow: visible;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/* Sibling imports */
+
+body {
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+}
+
+/* Disable native link decoration styles everywhere outside of dialog boxes */
+a {
+  text-decoration: unset;
+  color: unset;
+}
+
+a:hover {
+  text-decoration: unset;
+  color: unset;
+}
+
+/* Accessibility for links inside dialog box text */
+.jp-Dialog-content a {
+  text-decoration: revert;
+  color: var(--jp-content-link-color);
+}
+
+.jp-Dialog-content a:hover {
+  text-decoration: revert;
+}
+
+/* Styles for ui-components */
+.jp-Button {
+  color: var(--jp-ui-font-color2);
+  border-radius: var(--jp-border-radius);
+  padding: 0 12px;
+  font-size: var(--jp-ui-font-size1);
+
+  /* Copy from blueprint 3 */
+  display: inline-flex;
+  flex-direction: row;
+  border: none;
+  cursor: pointer;
+  align-items: center;
+  justify-content: center;
+  text-align: left;
+  vertical-align: middle;
+  min-height: 30px;
+  min-width: 30px;
+}
+
+.jp-Button:disabled {
+  cursor: not-allowed;
+}
+
+.jp-Button:empty {
+  padding: 0 !important;
+}
+
+.jp-Button.jp-mod-small {
+  min-height: 24px;
+  min-width: 24px;
+  font-size: 12px;
+  padding: 0 7px;
+}
+
+/* Use our own theme for hover styles */
+.jp-Button.jp-mod-minimal:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-Button.jp-mod-minimal {
+  background: none;
+}
+
+.jp-InputGroup {
+  display: block;
+  position: relative;
+}
+
+.jp-InputGroup input {
+  box-sizing: border-box;
+  border: none;
+  border-radius: 0;
+  background-color: transparent;
+  color: var(--jp-ui-font-color0);
+  box-shadow: inset 0 0 0 var(--jp-border-width) var(--jp-input-border-color);
+  padding-bottom: 0;
+  padding-top: 0;
+  padding-left: 10px;
+  padding-right: 28px;
+  position: relative;
+  width: 100%;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+  appearance: none;
+  font-size: 14px;
+  font-weight: 400;
+  height: 30px;
+  line-height: 30px;
+  outline: none;
+  vertical-align: middle;
+}
+
+.jp-InputGroup input:focus {
+  box-shadow: inset 0 0 0 var(--jp-border-width)
+      var(--jp-input-active-box-shadow-color),
+    inset 0 0 0 3px var(--jp-input-active-box-shadow-color);
+}
+
+.jp-InputGroup input:disabled {
+  cursor: not-allowed;
+  resize: block;
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-InputGroup input:disabled ~ span {
+  cursor: not-allowed;
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-InputGroup input::placeholder,
+input::placeholder {
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-InputGroupAction {
+  position: absolute;
+  bottom: 1px;
+  right: 0;
+  padding: 6px;
+}
+
+.jp-HTMLSelect.jp-DefaultStyle select {
+  background-color: initial;
+  border: none;
+  border-radius: 0;
+  box-shadow: none;
+  color: var(--jp-ui-font-color0);
+  display: block;
+  font-size: var(--jp-ui-font-size1);
+  font-family: var(--jp-ui-font-family);
+  height: 24px;
+  line-height: 14px;
+  padding: 0 25px 0 10px;
+  text-align: left;
+  -moz-appearance: none;
+  -webkit-appearance: none;
+}
+
+.jp-HTMLSelect.jp-DefaultStyle select:disabled {
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color2);
+  cursor: not-allowed;
+  resize: block;
+}
+
+.jp-HTMLSelect.jp-DefaultStyle select:disabled ~ span {
+  cursor: not-allowed;
+}
+
+/* Use our own theme for hover and option styles */
+/* stylelint-disable-next-line selector-max-type */
+.jp-HTMLSelect.jp-DefaultStyle select:hover,
+.jp-HTMLSelect.jp-DefaultStyle select > option {
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color0);
+}
+
+select {
+  box-sizing: border-box;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Styles
+|----------------------------------------------------------------------------*/
+
+.jp-StatusBar-Widget {
+  display: flex;
+  align-items: center;
+  background: var(--jp-layout-color2);
+  min-height: var(--jp-statusbar-height);
+  justify-content: space-between;
+  padding: 0 10px;
+}
+
+.jp-StatusBar-Left {
+  display: flex;
+  align-items: center;
+  flex-direction: row;
+}
+
+.jp-StatusBar-Middle {
+  display: flex;
+  align-items: center;
+}
+
+.jp-StatusBar-Right {
+  display: flex;
+  align-items: center;
+  flex-direction: row-reverse;
+}
+
+.jp-StatusBar-Item {
+  max-height: var(--jp-statusbar-height);
+  margin: 0 2px;
+  height: var(--jp-statusbar-height);
+  white-space: nowrap;
+  text-overflow: ellipsis;
+  color: var(--jp-ui-font-color1);
+  padding: 0 6px;
+}
+
+.jp-mod-highlighted:hover {
+  background-color: var(--jp-layout-color3);
+}
+
+.jp-mod-clicked {
+  background-color: var(--jp-brand-color1);
+}
+
+.jp-mod-clicked:hover {
+  background-color: var(--jp-brand-color0);
+}
+
+.jp-mod-clicked .jp-StatusBar-TextItem {
+  color: var(--jp-ui-inverse-font-color1);
+}
+
+.jp-StatusBar-HoverItem {
+  box-shadow: '0px 4px 4px rgba(0, 0, 0, 0.25)';
+}
+
+.jp-StatusBar-TextItem {
+  font-size: var(--jp-ui-font-size1);
+  font-family: var(--jp-ui-font-family);
+  line-height: 24px;
+  color: var(--jp-ui-font-color1);
+}
+
+.jp-StatusBar-GroupItem {
+  display: flex;
+  align-items: center;
+  flex-direction: row;
+}
+
+.jp-Statusbar-ProgressCircle svg {
+  display: block;
+  margin: 0 auto;
+  width: 16px;
+  height: 24px;
+  align-self: normal;
+}
+
+.jp-Statusbar-ProgressCircle path {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-Statusbar-ProgressBar-progress-bar {
+  height: 10px;
+  width: 100px;
+  border: solid 0.25px var(--jp-brand-color2);
+  border-radius: 3px;
+  overflow: hidden;
+  align-self: center;
+}
+
+.jp-Statusbar-ProgressBar-progress-bar > div {
+  background-color: var(--jp-brand-color2);
+  background-image: linear-gradient(
+    -45deg,
+    rgba(255, 255, 255, 0.2) 25%,
+    transparent 25%,
+    transparent 50%,
+    rgba(255, 255, 255, 0.2) 50%,
+    rgba(255, 255, 255, 0.2) 75%,
+    transparent 75%,
+    transparent
+  );
+  background-size: 40px 40px;
+  float: left;
+  width: 0%;
+  height: 100%;
+  font-size: 12px;
+  line-height: 14px;
+  color: #fff;
+  text-align: center;
+  animation: jp-Statusbar-ExecutionTime-progress-bar 2s linear infinite;
+}
+
+.jp-Statusbar-ProgressBar-progress-bar p {
+  color: var(--jp-ui-font-color1);
+  font-family: var(--jp-ui-font-family);
+  font-size: var(--jp-ui-font-size1);
+  line-height: 10px;
+  width: 100px;
+}
+
+@keyframes jp-Statusbar-ExecutionTime-progress-bar {
+  0% {
+    background-position: 0 0;
+  }
+
+  100% {
+    background-position: 40px 40px;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-commandpalette-search-height: 28px;
+}
+
+/*-----------------------------------------------------------------------------
+| Overall styles
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette {
+  padding-bottom: 0;
+  color: var(--jp-ui-font-color1);
+  background: var(--jp-layout-color1);
+
+  /* This is needed so that all font sizing of children done in ems is
+   * relative to this base size */
+  font-size: var(--jp-ui-font-size1);
+}
+
+/*-----------------------------------------------------------------------------
+| Modal variant
+|----------------------------------------------------------------------------*/
+
+.jp-ModalCommandPalette {
+  position: absolute;
+  z-index: 10000;
+  top: 38px;
+  left: 30%;
+  margin: 0;
+  padding: 4px;
+  width: 40%;
+  box-shadow: var(--jp-elevation-z4);
+  border-radius: 4px;
+  background: var(--jp-layout-color0);
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette {
+  max-height: 40vh;
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette .lm-close-icon::after {
+  display: none;
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette .lm-CommandPalette-header {
+  display: none;
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette .lm-CommandPalette-item {
+  margin-left: 4px;
+  margin-right: 4px;
+}
+
+.jp-ModalCommandPalette
+  .lm-CommandPalette
+  .lm-CommandPalette-item.lm-mod-disabled {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Search
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette-search {
+  padding: 4px;
+  background-color: var(--jp-layout-color1);
+  z-index: 2;
+}
+
+.lm-CommandPalette-wrapper {
+  overflow: overlay;
+  padding: 0 9px;
+  background-color: var(--jp-input-active-background);
+  height: 30px;
+  box-shadow: inset 0 0 0 var(--jp-border-width) var(--jp-input-border-color);
+}
+
+.lm-CommandPalette.lm-mod-focused .lm-CommandPalette-wrapper {
+  box-shadow: inset 0 0 0 1px var(--jp-input-active-box-shadow-color),
+    inset 0 0 0 3px var(--jp-input-active-box-shadow-color);
+}
+
+.jp-SearchIconGroup {
+  color: white;
+  background-color: var(--jp-brand-color1);
+  position: absolute;
+  top: 4px;
+  right: 4px;
+  padding: 5px 5px 1px;
+}
+
+.jp-SearchIconGroup svg {
+  height: 20px;
+  width: 20px;
+}
+
+.jp-SearchIconGroup .jp-icon3[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.lm-CommandPalette-input {
+  background: transparent;
+  width: calc(100% - 18px);
+  float: left;
+  border: none;
+  outline: none;
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color0);
+  line-height: var(--jp-private-commandpalette-search-height);
+}
+
+.lm-CommandPalette-input::-webkit-input-placeholder,
+.lm-CommandPalette-input::-moz-placeholder,
+.lm-CommandPalette-input:-ms-input-placeholder {
+  color: var(--jp-ui-font-color2);
+  font-size: var(--jp-ui-font-size1);
+}
+
+/*-----------------------------------------------------------------------------
+| Results
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette-header:first-child {
+  margin-top: 0;
+}
+
+.lm-CommandPalette-header {
+  border-bottom: solid var(--jp-border-width) var(--jp-border-color2);
+  color: var(--jp-ui-font-color1);
+  cursor: pointer;
+  display: flex;
+  font-size: var(--jp-ui-font-size0);
+  font-weight: 600;
+  letter-spacing: 1px;
+  margin-top: 8px;
+  padding: 8px 0 8px 12px;
+  text-transform: uppercase;
+}
+
+.lm-CommandPalette-header.lm-mod-active {
+  background: var(--jp-layout-color2);
+}
+
+.lm-CommandPalette-header > mark {
+  background-color: transparent;
+  font-weight: bold;
+  color: var(--jp-ui-font-color1);
+}
+
+.lm-CommandPalette-item {
+  padding: 4px 12px 4px 4px;
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  font-weight: 400;
+  display: flex;
+}
+
+.lm-CommandPalette-item.lm-mod-disabled {
+  color: var(--jp-ui-font-color2);
+}
+
+.lm-CommandPalette-item.lm-mod-active {
+  color: var(--jp-ui-inverse-font-color1);
+  background: var(--jp-brand-color1);
+}
+
+.lm-CommandPalette-item.lm-mod-active .lm-CommandPalette-itemLabel > mark {
+  color: var(--jp-ui-inverse-font-color0);
+}
+
+.lm-CommandPalette-item.lm-mod-active .jp-icon-selectable[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.lm-CommandPalette-item.lm-mod-active:hover:not(.lm-mod-disabled) {
+  color: var(--jp-ui-inverse-font-color1);
+  background: var(--jp-brand-color1);
+}
+
+.lm-CommandPalette-item:hover:not(.lm-mod-active):not(.lm-mod-disabled) {
+  background: var(--jp-layout-color2);
+}
+
+.lm-CommandPalette-itemContent {
+  overflow: hidden;
+}
+
+.lm-CommandPalette-itemLabel > mark {
+  color: var(--jp-ui-font-color0);
+  background-color: transparent;
+  font-weight: bold;
+}
+
+.lm-CommandPalette-item.lm-mod-disabled mark {
+  color: var(--jp-ui-font-color2);
+}
+
+.lm-CommandPalette-item .lm-CommandPalette-itemIcon {
+  margin: 0 4px 0 0;
+  position: relative;
+  width: 16px;
+  top: 2px;
+  flex: 0 0 auto;
+}
+
+.lm-CommandPalette-item.lm-mod-disabled .lm-CommandPalette-itemIcon {
+  opacity: 0.6;
+}
+
+.lm-CommandPalette-item .lm-CommandPalette-itemShortcut {
+  flex: 0 0 auto;
+}
+
+.lm-CommandPalette-itemCaption {
+  display: none;
+}
+
+.lm-CommandPalette-content {
+  background-color: var(--jp-layout-color1);
+}
+
+.lm-CommandPalette-content:empty::after {
+  content: 'No results';
+  margin: auto;
+  margin-top: 20px;
+  width: 100px;
+  display: block;
+  font-size: var(--jp-ui-font-size2);
+  font-family: var(--jp-ui-font-family);
+  font-weight: lighter;
+}
+
+.lm-CommandPalette-emptyMessage {
+  text-align: center;
+  margin-top: 24px;
+  line-height: 1.32;
+  padding: 0 8px;
+  color: var(--jp-content-font-color3);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Dialog {
+  position: absolute;
+  z-index: 10000;
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  justify-content: center;
+  top: 0;
+  left: 0;
+  margin: 0;
+  padding: 0;
+  width: 100%;
+  height: 100%;
+  background: var(--jp-dialog-background);
+}
+
+.jp-Dialog-content {
+  display: flex;
+  flex-direction: column;
+  margin-left: auto;
+  margin-right: auto;
+  background: var(--jp-layout-color1);
+  padding: 24px 24px 12px;
+  min-width: 300px;
+  min-height: 150px;
+  max-width: 1000px;
+  max-height: 500px;
+  box-sizing: border-box;
+  box-shadow: var(--jp-elevation-z20);
+  word-wrap: break-word;
+  border-radius: var(--jp-border-radius);
+
+  /* This is needed so that all font sizing of children done in ems is
+   * relative to this base size */
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color1);
+  resize: both;
+}
+
+.jp-Dialog-content.jp-Dialog-content-small {
+  max-width: 500px;
+}
+
+.jp-Dialog-button {
+  overflow: visible;
+}
+
+button.jp-Dialog-button:focus {
+  outline: 1px solid var(--jp-brand-color1);
+  outline-offset: 4px;
+  -moz-outline-radius: 0;
+}
+
+button.jp-Dialog-button:focus::-moz-focus-inner {
+  border: 0;
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-accept:focus,
+button.jp-Dialog-button.jp-mod-styled.jp-mod-warn:focus,
+button.jp-Dialog-button.jp-mod-styled.jp-mod-reject:focus {
+  outline-offset: 4px;
+  -moz-outline-radius: 0;
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-accept:focus {
+  outline: 1px solid var(--jp-accept-color-normal, var(--jp-brand-color1));
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-warn:focus {
+  outline: 1px solid var(--jp-warn-color-normal, var(--jp-error-color1));
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-reject:focus {
+  outline: 1px solid var(--jp-reject-color-normal, var(--md-grey-600));
+}
+
+button.jp-Dialog-close-button {
+  padding: 0;
+  height: 100%;
+  min-width: unset;
+  min-height: unset;
+}
+
+.jp-Dialog-header {
+  display: flex;
+  justify-content: space-between;
+  flex: 0 0 auto;
+  padding-bottom: 12px;
+  font-size: var(--jp-ui-font-size3);
+  font-weight: 400;
+  color: var(--jp-ui-font-color1);
+}
+
+.jp-Dialog-body {
+  display: flex;
+  flex-direction: column;
+  flex: 1 1 auto;
+  font-size: var(--jp-ui-font-size1);
+  background: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  overflow: auto;
+}
+
+.jp-Dialog-footer {
+  display: flex;
+  flex-direction: row;
+  justify-content: flex-end;
+  align-items: center;
+  flex: 0 0 auto;
+  margin-left: -12px;
+  margin-right: -12px;
+  padding: 12px;
+}
+
+.jp-Dialog-checkbox {
+  padding-right: 5px;
+}
+
+.jp-Dialog-checkbox > input:focus-visible {
+  outline: 1px solid var(--jp-input-active-border-color);
+  outline-offset: 1px;
+}
+
+.jp-Dialog-spacer {
+  flex: 1 1 auto;
+}
+
+.jp-Dialog-title {
+  overflow: hidden;
+  white-space: nowrap;
+  text-overflow: ellipsis;
+}
+
+.jp-Dialog-body > .jp-select-wrapper {
+  width: 100%;
+}
+
+.jp-Dialog-body > button {
+  padding: 0 16px;
+}
+
+.jp-Dialog-body > label {
+  line-height: 1.4;
+  color: var(--jp-ui-font-color0);
+}
+
+.jp-Dialog-button.jp-mod-styled:not(:last-child) {
+  margin-right: 12px;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-Input-Boolean-Dialog {
+  flex-direction: row-reverse;
+  align-items: end;
+  width: 100%;
+}
+
+.jp-Input-Boolean-Dialog > label {
+  flex: 1 1 auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-MainAreaWidget > :focus {
+  outline: none;
+}
+
+.jp-MainAreaWidget .jp-MainAreaWidget-error {
+  padding: 6px;
+}
+
+.jp-MainAreaWidget .jp-MainAreaWidget-error > pre {
+  width: auto;
+  padding: 10px;
+  background: var(--jp-error-color3);
+  border: var(--jp-border-width) solid var(--jp-error-color1);
+  border-radius: var(--jp-border-radius);
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  white-space: pre-wrap;
+  word-wrap: break-word;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/**
+ * google-material-color v1.2.6
+ * https://github.com/danlevan/google-material-color
+ */
+:root {
+  --md-red-50: #ffebee;
+  --md-red-100: #ffcdd2;
+  --md-red-200: #ef9a9a;
+  --md-red-300: #e57373;
+  --md-red-400: #ef5350;
+  --md-red-500: #f44336;
+  --md-red-600: #e53935;
+  --md-red-700: #d32f2f;
+  --md-red-800: #c62828;
+  --md-red-900: #b71c1c;
+  --md-red-A100: #ff8a80;
+  --md-red-A200: #ff5252;
+  --md-red-A400: #ff1744;
+  --md-red-A700: #d50000;
+  --md-pink-50: #fce4ec;
+  --md-pink-100: #f8bbd0;
+  --md-pink-200: #f48fb1;
+  --md-pink-300: #f06292;
+  --md-pink-400: #ec407a;
+  --md-pink-500: #e91e63;
+  --md-pink-600: #d81b60;
+  --md-pink-700: #c2185b;
+  --md-pink-800: #ad1457;
+  --md-pink-900: #880e4f;
+  --md-pink-A100: #ff80ab;
+  --md-pink-A200: #ff4081;
+  --md-pink-A400: #f50057;
+  --md-pink-A700: #c51162;
+  --md-purple-50: #f3e5f5;
+  --md-purple-100: #e1bee7;
+  --md-purple-200: #ce93d8;
+  --md-purple-300: #ba68c8;
+  --md-purple-400: #ab47bc;
+  --md-purple-500: #9c27b0;
+  --md-purple-600: #8e24aa;
+  --md-purple-700: #7b1fa2;
+  --md-purple-800: #6a1b9a;
+  --md-purple-900: #4a148c;
+  --md-purple-A100: #ea80fc;
+  --md-purple-A200: #e040fb;
+  --md-purple-A400: #d500f9;
+  --md-purple-A700: #a0f;
+  --md-deep-purple-50: #ede7f6;
+  --md-deep-purple-100: #d1c4e9;
+  --md-deep-purple-200: #b39ddb;
+  --md-deep-purple-300: #9575cd;
+  --md-deep-purple-400: #7e57c2;
+  --md-deep-purple-500: #673ab7;
+  --md-deep-purple-600: #5e35b1;
+  --md-deep-purple-700: #512da8;
+  --md-deep-purple-800: #4527a0;
+  --md-deep-purple-900: #311b92;
+  --md-deep-purple-A100: #b388ff;
+  --md-deep-purple-A200: #7c4dff;
+  --md-deep-purple-A400: #651fff;
+  --md-deep-purple-A700: #6200ea;
+  --md-indigo-50: #e8eaf6;
+  --md-indigo-100: #c5cae9;
+  --md-indigo-200: #9fa8da;
+  --md-indigo-300: #7986cb;
+  --md-indigo-400: #5c6bc0;
+  --md-indigo-500: #3f51b5;
+  --md-indigo-600: #3949ab;
+  --md-indigo-700: #303f9f;
+  --md-indigo-800: #283593;
+  --md-indigo-900: #1a237e;
+  --md-indigo-A100: #8c9eff;
+  --md-indigo-A200: #536dfe;
+  --md-indigo-A400: #3d5afe;
+  --md-indigo-A700: #304ffe;
+  --md-blue-50: #e3f2fd;
+  --md-blue-100: #bbdefb;
+  --md-blue-200: #90caf9;
+  --md-blue-300: #64b5f6;
+  --md-blue-400: #42a5f5;
+  --md-blue-500: #2196f3;
+  --md-blue-600: #1e88e5;
+  --md-blue-700: #1976d2;
+  --md-blue-800: #1565c0;
+  --md-blue-900: #0d47a1;
+  --md-blue-A100: #82b1ff;
+  --md-blue-A200: #448aff;
+  --md-blue-A400: #2979ff;
+  --md-blue-A700: #2962ff;
+  --md-light-blue-50: #e1f5fe;
+  --md-light-blue-100: #b3e5fc;
+  --md-light-blue-200: #81d4fa;
+  --md-light-blue-300: #4fc3f7;
+  --md-light-blue-400: #29b6f6;
+  --md-light-blue-500: #03a9f4;
+  --md-light-blue-600: #039be5;
+  --md-light-blue-700: #0288d1;
+  --md-light-blue-800: #0277bd;
+  --md-light-blue-900: #01579b;
+  --md-light-blue-A100: #80d8ff;
+  --md-light-blue-A200: #40c4ff;
+  --md-light-blue-A400: #00b0ff;
+  --md-light-blue-A700: #0091ea;
+  --md-cyan-50: #e0f7fa;
+  --md-cyan-100: #b2ebf2;
+  --md-cyan-200: #80deea;
+  --md-cyan-300: #4dd0e1;
+  --md-cyan-400: #26c6da;
+  --md-cyan-500: #00bcd4;
+  --md-cyan-600: #00acc1;
+  --md-cyan-700: #0097a7;
+  --md-cyan-800: #00838f;
+  --md-cyan-900: #006064;
+  --md-cyan-A100: #84ffff;
+  --md-cyan-A200: #18ffff;
+  --md-cyan-A400: #00e5ff;
+  --md-cyan-A700: #00b8d4;
+  --md-teal-50: #e0f2f1;
+  --md-teal-100: #b2dfdb;
+  --md-teal-200: #80cbc4;
+  --md-teal-300: #4db6ac;
+  --md-teal-400: #26a69a;
+  --md-teal-500: #009688;
+  --md-teal-600: #00897b;
+  --md-teal-700: #00796b;
+  --md-teal-800: #00695c;
+  --md-teal-900: #004d40;
+  --md-teal-A100: #a7ffeb;
+  --md-teal-A200: #64ffda;
+  --md-teal-A400: #1de9b6;
+  --md-teal-A700: #00bfa5;
+  --md-green-50: #e8f5e9;
+  --md-green-100: #c8e6c9;
+  --md-green-200: #a5d6a7;
+  --md-green-300: #81c784;
+  --md-green-400: #66bb6a;
+  --md-green-500: #4caf50;
+  --md-green-600: #43a047;
+  --md-green-700: #388e3c;
+  --md-green-800: #2e7d32;
+  --md-green-900: #1b5e20;
+  --md-green-A100: #b9f6ca;
+  --md-green-A200: #69f0ae;
+  --md-green-A400: #00e676;
+  --md-green-A700: #00c853;
+  --md-light-green-50: #f1f8e9;
+  --md-light-green-100: #dcedc8;
+  --md-light-green-200: #c5e1a5;
+  --md-light-green-300: #aed581;
+  --md-light-green-400: #9ccc65;
+  --md-light-green-500: #8bc34a;
+  --md-light-green-600: #7cb342;
+  --md-light-green-700: #689f38;
+  --md-light-green-800: #558b2f;
+  --md-light-green-900: #33691e;
+  --md-light-green-A100: #ccff90;
+  --md-light-green-A200: #b2ff59;
+  --md-light-green-A400: #76ff03;
+  --md-light-green-A700: #64dd17;
+  --md-lime-50: #f9fbe7;
+  --md-lime-100: #f0f4c3;
+  --md-lime-200: #e6ee9c;
+  --md-lime-300: #dce775;
+  --md-lime-400: #d4e157;
+  --md-lime-500: #cddc39;
+  --md-lime-600: #c0ca33;
+  --md-lime-700: #afb42b;
+  --md-lime-800: #9e9d24;
+  --md-lime-900: #827717;
+  --md-lime-A100: #f4ff81;
+  --md-lime-A200: #eeff41;
+  --md-lime-A400: #c6ff00;
+  --md-lime-A700: #aeea00;
+  --md-yellow-50: #fffde7;
+  --md-yellow-100: #fff9c4;
+  --md-yellow-200: #fff59d;
+  --md-yellow-300: #fff176;
+  --md-yellow-400: #ffee58;
+  --md-yellow-500: #ffeb3b;
+  --md-yellow-600: #fdd835;
+  --md-yellow-700: #fbc02d;
+  --md-yellow-800: #f9a825;
+  --md-yellow-900: #f57f17;
+  --md-yellow-A100: #ffff8d;
+  --md-yellow-A200: #ff0;
+  --md-yellow-A400: #ffea00;
+  --md-yellow-A700: #ffd600;
+  --md-amber-50: #fff8e1;
+  --md-amber-100: #ffecb3;
+  --md-amber-200: #ffe082;
+  --md-amber-300: #ffd54f;
+  --md-amber-400: #ffca28;
+  --md-amber-500: #ffc107;
+  --md-amber-600: #ffb300;
+  --md-amber-700: #ffa000;
+  --md-amber-800: #ff8f00;
+  --md-amber-900: #ff6f00;
+  --md-amber-A100: #ffe57f;
+  --md-amber-A200: #ffd740;
+  --md-amber-A400: #ffc400;
+  --md-amber-A700: #ffab00;
+  --md-orange-50: #fff3e0;
+  --md-orange-100: #ffe0b2;
+  --md-orange-200: #ffcc80;
+  --md-orange-300: #ffb74d;
+  --md-orange-400: #ffa726;
+  --md-orange-500: #ff9800;
+  --md-orange-600: #fb8c00;
+  --md-orange-700: #f57c00;
+  --md-orange-800: #ef6c00;
+  --md-orange-900: #e65100;
+  --md-orange-A100: #ffd180;
+  --md-orange-A200: #ffab40;
+  --md-orange-A400: #ff9100;
+  --md-orange-A700: #ff6d00;
+  --md-deep-orange-50: #fbe9e7;
+  --md-deep-orange-100: #ffccbc;
+  --md-deep-orange-200: #ffab91;
+  --md-deep-orange-300: #ff8a65;
+  --md-deep-orange-400: #ff7043;
+  --md-deep-orange-500: #ff5722;
+  --md-deep-orange-600: #f4511e;
+  --md-deep-orange-700: #e64a19;
+  --md-deep-orange-800: #d84315;
+  --md-deep-orange-900: #bf360c;
+  --md-deep-orange-A100: #ff9e80;
+  --md-deep-orange-A200: #ff6e40;
+  --md-deep-orange-A400: #ff3d00;
+  --md-deep-orange-A700: #dd2c00;
+  --md-brown-50: #efebe9;
+  --md-brown-100: #d7ccc8;
+  --md-brown-200: #bcaaa4;
+  --md-brown-300: #a1887f;
+  --md-brown-400: #8d6e63;
+  --md-brown-500: #795548;
+  --md-brown-600: #6d4c41;
+  --md-brown-700: #5d4037;
+  --md-brown-800: #4e342e;
+  --md-brown-900: #3e2723;
+  --md-grey-50: #fafafa;
+  --md-grey-100: #f5f5f5;
+  --md-grey-200: #eee;
+  --md-grey-300: #e0e0e0;
+  --md-grey-400: #bdbdbd;
+  --md-grey-500: #9e9e9e;
+  --md-grey-600: #757575;
+  --md-grey-700: #616161;
+  --md-grey-800: #424242;
+  --md-grey-900: #212121;
+  --md-blue-grey-50: #eceff1;
+  --md-blue-grey-100: #cfd8dc;
+  --md-blue-grey-200: #b0bec5;
+  --md-blue-grey-300: #90a4ae;
+  --md-blue-grey-400: #78909c;
+  --md-blue-grey-500: #607d8b;
+  --md-blue-grey-600: #546e7a;
+  --md-blue-grey-700: #455a64;
+  --md-blue-grey-800: #37474f;
+  --md-blue-grey-900: #263238;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| RenderedText
+|----------------------------------------------------------------------------*/
+
+:root {
+  /* This is the padding value to fill the gaps between lines containing spans with background color. */
+  --jp-private-code-span-padding: calc(
+    (var(--jp-code-line-height) - 1) * var(--jp-code-font-size) / 2
+  );
+}
+
+.jp-RenderedText {
+  text-align: left;
+  padding-left: var(--jp-code-padding);
+  line-height: var(--jp-code-line-height);
+  font-family: var(--jp-code-font-family);
+}
+
+.jp-RenderedText pre,
+.jp-RenderedJavaScript pre,
+.jp-RenderedHTMLCommon pre {
+  color: var(--jp-content-font-color1);
+  font-size: var(--jp-code-font-size);
+  border: none;
+  margin: 0;
+  padding: 0;
+}
+
+.jp-RenderedText pre a:link {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+.jp-RenderedText pre a:hover {
+  text-decoration: underline;
+  color: var(--jp-content-link-color);
+}
+
+.jp-RenderedText pre a:visited {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+/* console foregrounds and backgrounds */
+.jp-RenderedText pre .ansi-black-fg {
+  color: #3e424d;
+}
+
+.jp-RenderedText pre .ansi-red-fg {
+  color: #e75c58;
+}
+
+.jp-RenderedText pre .ansi-green-fg {
+  color: #00a250;
+}
+
+.jp-RenderedText pre .ansi-yellow-fg {
+  color: #ddb62b;
+}
+
+.jp-RenderedText pre .ansi-blue-fg {
+  color: #208ffb;
+}
+
+.jp-RenderedText pre .ansi-magenta-fg {
+  color: #d160c4;
+}
+
+.jp-RenderedText pre .ansi-cyan-fg {
+  color: #60c6c8;
+}
+
+.jp-RenderedText pre .ansi-white-fg {
+  color: #c5c1b4;
+}
+
+.jp-RenderedText pre .ansi-black-bg {
+  background-color: #3e424d;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-red-bg {
+  background-color: #e75c58;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-green-bg {
+  background-color: #00a250;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-yellow-bg {
+  background-color: #ddb62b;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-blue-bg {
+  background-color: #208ffb;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-magenta-bg {
+  background-color: #d160c4;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-cyan-bg {
+  background-color: #60c6c8;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-white-bg {
+  background-color: #c5c1b4;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-black-intense-fg {
+  color: #282c36;
+}
+
+.jp-RenderedText pre .ansi-red-intense-fg {
+  color: #b22b31;
+}
+
+.jp-RenderedText pre .ansi-green-intense-fg {
+  color: #007427;
+}
+
+.jp-RenderedText pre .ansi-yellow-intense-fg {
+  color: #b27d12;
+}
+
+.jp-RenderedText pre .ansi-blue-intense-fg {
+  color: #0065ca;
+}
+
+.jp-RenderedText pre .ansi-magenta-intense-fg {
+  color: #a03196;
+}
+
+.jp-RenderedText pre .ansi-cyan-intense-fg {
+  color: #258f8f;
+}
+
+.jp-RenderedText pre .ansi-white-intense-fg {
+  color: #a1a6b2;
+}
+
+.jp-RenderedText pre .ansi-black-intense-bg {
+  background-color: #282c36;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-red-intense-bg {
+  background-color: #b22b31;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-green-intense-bg {
+  background-color: #007427;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-yellow-intense-bg {
+  background-color: #b27d12;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-blue-intense-bg {
+  background-color: #0065ca;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-magenta-intense-bg {
+  background-color: #a03196;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-cyan-intense-bg {
+  background-color: #258f8f;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-white-intense-bg {
+  background-color: #a1a6b2;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-default-inverse-fg {
+  color: var(--jp-ui-inverse-font-color0);
+}
+
+.jp-RenderedText pre .ansi-default-inverse-bg {
+  background-color: var(--jp-inverse-layout-color0);
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-bold {
+  font-weight: bold;
+}
+
+.jp-RenderedText pre .ansi-underline {
+  text-decoration: underline;
+}
+
+.jp-RenderedText[data-mime-type='application/vnd.jupyter.stderr'] {
+  background: var(--jp-rendermime-error-background);
+  padding-top: var(--jp-code-padding);
+}
+
+/*-----------------------------------------------------------------------------
+| RenderedLatex
+|----------------------------------------------------------------------------*/
+
+.jp-RenderedLatex {
+  color: var(--jp-content-font-color1);
+  font-size: var(--jp-content-font-size1);
+  line-height: var(--jp-content-line-height);
+}
+
+/* Left-justify outputs.*/
+.jp-OutputArea-output.jp-RenderedLatex {
+  padding: var(--jp-code-padding);
+  text-align: left;
+}
+
+/*-----------------------------------------------------------------------------
+| RenderedHTML
+|----------------------------------------------------------------------------*/
+
+.jp-RenderedHTMLCommon {
+  color: var(--jp-content-font-color1);
+  font-family: var(--jp-content-font-family);
+  font-size: var(--jp-content-font-size1);
+  line-height: var(--jp-content-line-height);
+
+  /* Give a bit more R padding on Markdown text to keep line lengths reasonable */
+  padding-right: 20px;
+}
+
+.jp-RenderedHTMLCommon em {
+  font-style: italic;
+}
+
+.jp-RenderedHTMLCommon strong {
+  font-weight: bold;
+}
+
+.jp-RenderedHTMLCommon u {
+  text-decoration: underline;
+}
+
+.jp-RenderedHTMLCommon a:link {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+.jp-RenderedHTMLCommon a:hover {
+  text-decoration: underline;
+  color: var(--jp-content-link-color);
+}
+
+.jp-RenderedHTMLCommon a:visited {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+/* Headings */
+
+.jp-RenderedHTMLCommon h1,
+.jp-RenderedHTMLCommon h2,
+.jp-RenderedHTMLCommon h3,
+.jp-RenderedHTMLCommon h4,
+.jp-RenderedHTMLCommon h5,
+.jp-RenderedHTMLCommon h6 {
+  line-height: var(--jp-content-heading-line-height);
+  font-weight: var(--jp-content-heading-font-weight);
+  font-style: normal;
+  margin: var(--jp-content-heading-margin-top) 0
+    var(--jp-content-heading-margin-bottom) 0;
+}
+
+.jp-RenderedHTMLCommon h1:first-child,
+.jp-RenderedHTMLCommon h2:first-child,
+.jp-RenderedHTMLCommon h3:first-child,
+.jp-RenderedHTMLCommon h4:first-child,
+.jp-RenderedHTMLCommon h5:first-child,
+.jp-RenderedHTMLCommon h6:first-child {
+  margin-top: calc(0.5 * var(--jp-content-heading-margin-top));
+}
+
+.jp-RenderedHTMLCommon h1:last-child,
+.jp-RenderedHTMLCommon h2:last-child,
+.jp-RenderedHTMLCommon h3:last-child,
+.jp-RenderedHTMLCommon h4:last-child,
+.jp-RenderedHTMLCommon h5:last-child,
+.jp-RenderedHTMLCommon h6:last-child {
+  margin-bottom: calc(0.5 * var(--jp-content-heading-margin-bottom));
+}
+
+.jp-RenderedHTMLCommon h1 {
+  font-size: var(--jp-content-font-size5);
+}
+
+.jp-RenderedHTMLCommon h2 {
+  font-size: var(--jp-content-font-size4);
+}
+
+.jp-RenderedHTMLCommon h3 {
+  font-size: var(--jp-content-font-size3);
+}
+
+.jp-RenderedHTMLCommon h4 {
+  font-size: var(--jp-content-font-size2);
+}
+
+.jp-RenderedHTMLCommon h5 {
+  font-size: var(--jp-content-font-size1);
+}
+
+.jp-RenderedHTMLCommon h6 {
+  font-size: var(--jp-content-font-size0);
+}
+
+/* Lists */
+
+/* stylelint-disable selector-max-type, selector-max-compound-selectors */
+
+.jp-RenderedHTMLCommon ul:not(.list-inline),
+.jp-RenderedHTMLCommon ol:not(.list-inline) {
+  padding-left: 2em;
+}
+
+.jp-RenderedHTMLCommon ul {
+  list-style: disc;
+}
+
+.jp-RenderedHTMLCommon ul ul {
+  list-style: square;
+}
+
+.jp-RenderedHTMLCommon ul ul ul {
+  list-style: circle;
+}
+
+.jp-RenderedHTMLCommon ol {
+  list-style: decimal;
+}
+
+.jp-RenderedHTMLCommon ol ol {
+  list-style: upper-alpha;
+}
+
+.jp-RenderedHTMLCommon ol ol ol {
+  list-style: lower-alpha;
+}
+
+.jp-RenderedHTMLCommon ol ol ol ol {
+  list-style: lower-roman;
+}
+
+.jp-RenderedHTMLCommon ol ol ol ol ol {
+  list-style: decimal;
+}
+
+.jp-RenderedHTMLCommon ol,
+.jp-RenderedHTMLCommon ul {
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon ul ul,
+.jp-RenderedHTMLCommon ul ol,
+.jp-RenderedHTMLCommon ol ul,
+.jp-RenderedHTMLCommon ol ol {
+  margin-bottom: 0;
+}
+
+/* stylelint-enable selector-max-type, selector-max-compound-selectors */
+
+.jp-RenderedHTMLCommon hr {
+  color: var(--jp-border-color2);
+  background-color: var(--jp-border-color1);
+  margin-top: 1em;
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon > pre {
+  margin: 1.5em 2em;
+}
+
+.jp-RenderedHTMLCommon pre,
+.jp-RenderedHTMLCommon code {
+  border: 0;
+  background-color: var(--jp-layout-color0);
+  color: var(--jp-content-font-color1);
+  font-family: var(--jp-code-font-family);
+  font-size: inherit;
+  line-height: var(--jp-code-line-height);
+  padding: 0;
+  white-space: pre-wrap;
+}
+
+.jp-RenderedHTMLCommon :not(pre) > code {
+  background-color: var(--jp-layout-color2);
+  padding: 1px 5px;
+}
+
+/* Tables */
+
+.jp-RenderedHTMLCommon table {
+  border-collapse: collapse;
+  border-spacing: 0;
+  border: none;
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  table-layout: fixed;
+  margin-left: auto;
+  margin-bottom: 1em;
+  margin-right: auto;
+}
+
+.jp-RenderedHTMLCommon thead {
+  border-bottom: var(--jp-border-width) solid var(--jp-border-color1);
+  vertical-align: bottom;
+}
+
+.jp-RenderedHTMLCommon td,
+.jp-RenderedHTMLCommon th,
+.jp-RenderedHTMLCommon tr {
+  vertical-align: middle;
+  padding: 0.5em;
+  line-height: normal;
+  white-space: normal;
+  max-width: none;
+  border: none;
+}
+
+.jp-RenderedMarkdown.jp-RenderedHTMLCommon td,
+.jp-RenderedMarkdown.jp-RenderedHTMLCommon th {
+  max-width: none;
+}
+
+:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon td,
+:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon th,
+:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon tr {
+  text-align: right;
+}
+
+.jp-RenderedHTMLCommon th {
+  font-weight: bold;
+}
+
+.jp-RenderedHTMLCommon tbody tr:nth-child(odd) {
+  background: var(--jp-layout-color0);
+}
+
+.jp-RenderedHTMLCommon tbody tr:nth-child(even) {
+  background: var(--jp-rendermime-table-row-background);
+}
+
+.jp-RenderedHTMLCommon tbody tr:hover {
+  background: var(--jp-rendermime-table-row-hover-background);
+}
+
+.jp-RenderedHTMLCommon p {
+  text-align: left;
+  margin: 0;
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon img {
+  -moz-force-broken-image-icon: 1;
+}
+
+/* Restrict to direct children as other images could be nested in other content. */
+.jp-RenderedHTMLCommon > img {
+  display: block;
+  margin-left: 0;
+  margin-right: 0;
+  margin-bottom: 1em;
+}
+
+/* Change color behind transparent images if they need it... */
+[data-jp-theme-light='false'] .jp-RenderedImage img.jp-needs-light-background {
+  background-color: var(--jp-inverse-layout-color1);
+}
+
+[data-jp-theme-light='true'] .jp-RenderedImage img.jp-needs-dark-background {
+  background-color: var(--jp-inverse-layout-color1);
+}
+
+.jp-RenderedHTMLCommon img,
+.jp-RenderedImage img,
+.jp-RenderedHTMLCommon svg,
+.jp-RenderedSVG svg {
+  max-width: 100%;
+  height: auto;
+}
+
+.jp-RenderedHTMLCommon img.jp-mod-unconfined,
+.jp-RenderedImage img.jp-mod-unconfined,
+.jp-RenderedHTMLCommon svg.jp-mod-unconfined,
+.jp-RenderedSVG svg.jp-mod-unconfined {
+  max-width: none;
+}
+
+.jp-RenderedHTMLCommon .alert {
+  padding: var(--jp-notebook-padding);
+  border: var(--jp-border-width) solid transparent;
+  border-radius: var(--jp-border-radius);
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon .alert-info {
+  color: var(--jp-info-color0);
+  background-color: var(--jp-info-color3);
+  border-color: var(--jp-info-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-info hr {
+  border-color: var(--jp-info-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-info > p:last-child,
+.jp-RenderedHTMLCommon .alert-info > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon .alert-warning {
+  color: var(--jp-warn-color0);
+  background-color: var(--jp-warn-color3);
+  border-color: var(--jp-warn-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-warning hr {
+  border-color: var(--jp-warn-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-warning > p:last-child,
+.jp-RenderedHTMLCommon .alert-warning > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon .alert-success {
+  color: var(--jp-success-color0);
+  background-color: var(--jp-success-color3);
+  border-color: var(--jp-success-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-success hr {
+  border-color: var(--jp-success-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-success > p:last-child,
+.jp-RenderedHTMLCommon .alert-success > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon .alert-danger {
+  color: var(--jp-error-color0);
+  background-color: var(--jp-error-color3);
+  border-color: var(--jp-error-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-danger hr {
+  border-color: var(--jp-error-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-danger > p:last-child,
+.jp-RenderedHTMLCommon .alert-danger > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon blockquote {
+  margin: 1em 2em;
+  padding: 0 1em;
+  border-left: 5px solid var(--jp-border-color2);
+}
+
+a.jp-InternalAnchorLink {
+  visibility: hidden;
+  margin-left: 8px;
+  color: var(--md-blue-800);
+}
+
+h1:hover .jp-InternalAnchorLink,
+h2:hover .jp-InternalAnchorLink,
+h3:hover .jp-InternalAnchorLink,
+h4:hover .jp-InternalAnchorLink,
+h5:hover .jp-InternalAnchorLink,
+h6:hover .jp-InternalAnchorLink {
+  visibility: visible;
+}
+
+.jp-RenderedHTMLCommon kbd {
+  background-color: var(--jp-rendermime-table-row-background);
+  border: 1px solid var(--jp-border-color0);
+  border-bottom-color: var(--jp-border-color2);
+  border-radius: 3px;
+  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.25);
+  display: inline-block;
+  font-size: var(--jp-ui-font-size0);
+  line-height: 1em;
+  padding: 0.2em 0.5em;
+}
+
+/* Most direct children of .jp-RenderedHTMLCommon have a margin-bottom of 1.0.
+ * At the bottom of cells this is a bit too much as there is also spacing
+ * between cells. Going all the way to 0 gets too tight between markdown and
+ * code cells.
+ */
+.jp-RenderedHTMLCommon > *:last-child {
+  margin-bottom: 0.5em;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-cursor-backdrop {
+  position: fixed;
+  width: 200px;
+  height: 200px;
+  margin-top: -100px;
+  margin-left: -100px;
+  will-change: transform;
+  z-index: 100;
+}
+
+.lm-mod-drag-image {
+  will-change: transform;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-lineFormSearch {
+  padding: 4px 12px;
+  background-color: var(--jp-layout-color2);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  z-index: 2;
+  font-size: var(--jp-ui-font-size1);
+}
+
+.jp-lineFormCaption {
+  font-size: var(--jp-ui-font-size0);
+  line-height: var(--jp-ui-font-size1);
+  margin-top: 4px;
+  color: var(--jp-ui-font-color0);
+}
+
+.jp-baseLineForm {
+  border: none;
+  border-radius: 0;
+  position: absolute;
+  background-size: 16px;
+  background-repeat: no-repeat;
+  background-position: center;
+  outline: none;
+}
+
+.jp-lineFormButtonContainer {
+  top: 4px;
+  right: 8px;
+  height: 24px;
+  padding: 0 12px;
+  width: 12px;
+}
+
+.jp-lineFormButtonIcon {
+  top: 0;
+  right: 0;
+  background-color: var(--jp-brand-color1);
+  height: 100%;
+  width: 100%;
+  box-sizing: border-box;
+  padding: 4px 6px;
+}
+
+.jp-lineFormButton {
+  top: 0;
+  right: 0;
+  background-color: transparent;
+  height: 100%;
+  width: 100%;
+  box-sizing: border-box;
+}
+
+.jp-lineFormWrapper {
+  overflow: hidden;
+  padding: 0 8px;
+  border: 1px solid var(--jp-border-color0);
+  background-color: var(--jp-input-active-background);
+  height: 22px;
+}
+
+.jp-lineFormWrapperFocusWithin {
+  border: var(--jp-border-width) solid var(--md-blue-500);
+  box-shadow: inset 0 0 4px var(--md-blue-300);
+}
+
+.jp-lineFormInput {
+  background: transparent;
+  width: 200px;
+  height: 100%;
+  border: none;
+  outline: none;
+  color: var(--jp-ui-font-color0);
+  line-height: 28px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-JSONEditor {
+  display: flex;
+  flex-direction: column;
+  width: 100%;
+}
+
+.jp-JSONEditor-host {
+  flex: 1 1 auto;
+  border: var(--jp-border-width) solid var(--jp-input-border-color);
+  border-radius: 0;
+  background: var(--jp-layout-color0);
+  min-height: 50px;
+  padding: 1px;
+}
+
+.jp-JSONEditor.jp-mod-error .jp-JSONEditor-host {
+  border-color: red;
+  outline-color: red;
+}
+
+.jp-JSONEditor-header {
+  display: flex;
+  flex: 1 0 auto;
+  padding: 0 0 0 12px;
+}
+
+.jp-JSONEditor-header label {
+  flex: 0 0 auto;
+}
+
+.jp-JSONEditor-commitButton {
+  height: 16px;
+  width: 16px;
+  background-size: 18px;
+  background-repeat: no-repeat;
+  background-position: center;
+}
+
+.jp-JSONEditor-host.jp-mod-focused {
+  background-color: var(--jp-input-active-background);
+  border: 1px solid var(--jp-input-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+}
+
+.jp-Editor.jp-mod-dropTarget {
+  border: var(--jp-border-width) solid var(--jp-input-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+.jp-DocumentSearch-input {
+  border: none;
+  outline: none;
+  color: var(--jp-ui-font-color0);
+  font-size: var(--jp-ui-font-size1);
+  background-color: var(--jp-layout-color0);
+  font-family: var(--jp-ui-font-family);
+  padding: 2px 1px;
+  resize: none;
+}
+
+.jp-DocumentSearch-overlay {
+  position: absolute;
+  background-color: var(--jp-toolbar-background);
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  border-left: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  top: 0;
+  right: 0;
+  z-index: 7;
+  min-width: 405px;
+  padding: 2px;
+  font-size: var(--jp-ui-font-size1);
+
+  --jp-private-document-search-button-height: 20px;
+}
+
+.jp-DocumentSearch-overlay button {
+  background-color: var(--jp-toolbar-background);
+  outline: 0;
+}
+
+.jp-DocumentSearch-overlay button:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-overlay button:active {
+  background-color: var(--jp-layout-color3);
+}
+
+.jp-DocumentSearch-overlay-row {
+  display: flex;
+  align-items: center;
+  margin-bottom: 2px;
+}
+
+.jp-DocumentSearch-button-content {
+  display: inline-block;
+  cursor: pointer;
+  box-sizing: border-box;
+  width: 100%;
+  height: 100%;
+}
+
+.jp-DocumentSearch-button-content svg {
+  width: 100%;
+  height: 100%;
+}
+
+.jp-DocumentSearch-input-wrapper {
+  border: var(--jp-border-width) solid var(--jp-border-color0);
+  display: flex;
+  background-color: var(--jp-layout-color0);
+  margin: 2px;
+}
+
+.jp-DocumentSearch-input-wrapper:focus-within {
+  border-color: var(--jp-cell-editor-active-border-color);
+}
+
+.jp-DocumentSearch-toggle-wrapper,
+.jp-DocumentSearch-button-wrapper {
+  all: initial;
+  overflow: hidden;
+  display: inline-block;
+  border: none;
+  box-sizing: border-box;
+}
+
+.jp-DocumentSearch-toggle-wrapper {
+  width: 14px;
+  height: 14px;
+}
+
+.jp-DocumentSearch-button-wrapper {
+  width: var(--jp-private-document-search-button-height);
+  height: var(--jp-private-document-search-button-height);
+}
+
+.jp-DocumentSearch-toggle-wrapper:focus,
+.jp-DocumentSearch-button-wrapper:focus {
+  outline: var(--jp-border-width) solid
+    var(--jp-cell-editor-active-border-color);
+  outline-offset: -1px;
+}
+
+.jp-DocumentSearch-toggle-wrapper,
+.jp-DocumentSearch-button-wrapper,
+.jp-DocumentSearch-button-content:focus {
+  outline: none;
+}
+
+.jp-DocumentSearch-toggle-placeholder {
+  width: 5px;
+}
+
+.jp-DocumentSearch-input-button::before {
+  display: block;
+  padding-top: 100%;
+}
+
+.jp-DocumentSearch-input-button-off {
+  opacity: var(--jp-search-toggle-off-opacity);
+}
+
+.jp-DocumentSearch-input-button-off:hover {
+  opacity: var(--jp-search-toggle-hover-opacity);
+}
+
+.jp-DocumentSearch-input-button-on {
+  opacity: var(--jp-search-toggle-on-opacity);
+}
+
+.jp-DocumentSearch-index-counter {
+  padding-left: 10px;
+  padding-right: 10px;
+  user-select: none;
+  min-width: 35px;
+  display: inline-block;
+}
+
+.jp-DocumentSearch-up-down-wrapper {
+  display: inline-block;
+  padding-right: 2px;
+  margin-left: auto;
+  white-space: nowrap;
+}
+
+.jp-DocumentSearch-spacer {
+  margin-left: auto;
+}
+
+.jp-DocumentSearch-up-down-wrapper button {
+  outline: 0;
+  border: none;
+  width: var(--jp-private-document-search-button-height);
+  height: var(--jp-private-document-search-button-height);
+  vertical-align: middle;
+  margin: 1px 5px 2px;
+}
+
+.jp-DocumentSearch-up-down-button:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-up-down-button:active {
+  background-color: var(--jp-layout-color3);
+}
+
+.jp-DocumentSearch-filter-button {
+  border-radius: var(--jp-border-radius);
+}
+
+.jp-DocumentSearch-filter-button:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-filter-button-enabled {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-filter-button-enabled:hover {
+  background-color: var(--jp-layout-color3);
+}
+
+.jp-DocumentSearch-search-options {
+  padding: 0 8px;
+  margin-left: 3px;
+  width: 100%;
+  display: grid;
+  justify-content: start;
+  grid-template-columns: 1fr 1fr;
+  align-items: center;
+  justify-items: stretch;
+}
+
+.jp-DocumentSearch-search-filter-disabled {
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-DocumentSearch-search-filter {
+  display: flex;
+  align-items: center;
+  user-select: none;
+}
+
+.jp-DocumentSearch-regex-error {
+  color: var(--jp-error-color0);
+}
+
+.jp-DocumentSearch-replace-button-wrapper {
+  overflow: hidden;
+  display: inline-block;
+  box-sizing: border-box;
+  border: var(--jp-border-width) solid var(--jp-border-color0);
+  margin: auto 2px;
+  padding: 1px 4px;
+  height: calc(var(--jp-private-document-search-button-height) + 2px);
+}
+
+.jp-DocumentSearch-replace-button-wrapper:focus {
+  border: var(--jp-border-width) solid var(--jp-cell-editor-active-border-color);
+}
+
+.jp-DocumentSearch-replace-button {
+  display: inline-block;
+  text-align: center;
+  cursor: pointer;
+  box-sizing: border-box;
+  color: var(--jp-ui-font-color1);
+
+  /* height - 2 * (padding of wrapper) */
+  line-height: calc(var(--jp-private-document-search-button-height) - 2px);
+  width: 100%;
+  height: 100%;
+}
+
+.jp-DocumentSearch-replace-button:focus {
+  outline: none;
+}
+
+.jp-DocumentSearch-replace-wrapper-class {
+  margin-left: 14px;
+  display: flex;
+}
+
+.jp-DocumentSearch-replace-toggle {
+  border: none;
+  background-color: var(--jp-toolbar-background);
+  border-radius: var(--jp-border-radius);
+}
+
+.jp-DocumentSearch-replace-toggle:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.cm-editor {
+  line-height: var(--jp-code-line-height);
+  font-size: var(--jp-code-font-size);
+  font-family: var(--jp-code-font-family);
+  border: 0;
+  border-radius: 0;
+  height: auto;
+
+  /* Changed to auto to autogrow */
+}
+
+.cm-editor pre {
+  padding: 0 var(--jp-code-padding);
+}
+
+.jp-CodeMirrorEditor[data-type='inline'] .cm-dialog {
+  background-color: var(--jp-layout-color0);
+  color: var(--jp-content-font-color1);
+}
+
+.jp-CodeMirrorEditor {
+  cursor: text;
+}
+
+/* When zoomed out 67% and 33% on a screen of 1440 width x 900 height */
+@media screen and (min-width: 2138px) and (max-width: 4319px) {
+  .jp-CodeMirrorEditor[data-type='inline'] .cm-cursor {
+    border-left: var(--jp-code-cursor-width1) solid
+      var(--jp-editor-cursor-color);
+  }
+}
+
+/* When zoomed out less than 33% */
+@media screen and (min-width: 4320px) {
+  .jp-CodeMirrorEditor[data-type='inline'] .cm-cursor {
+    border-left: var(--jp-code-cursor-width2) solid
+      var(--jp-editor-cursor-color);
+  }
+}
+
+.cm-editor.jp-mod-readOnly .cm-cursor {
+  display: none;
+}
+
+.jp-CollaboratorCursor {
+  border-left: 5px solid transparent;
+  border-right: 5px solid transparent;
+  border-top: none;
+  border-bottom: 3px solid;
+  background-clip: content-box;
+  margin-left: -5px;
+  margin-right: -5px;
+}
+
+.cm-searching,
+.cm-searching span {
+  /* `.cm-searching span`: we need to override syntax highlighting */
+  background-color: var(--jp-search-unselected-match-background-color);
+  color: var(--jp-search-unselected-match-color);
+}
+
+.cm-searching::selection,
+.cm-searching span::selection {
+  background-color: var(--jp-search-unselected-match-background-color);
+  color: var(--jp-search-unselected-match-color);
+}
+
+.jp-current-match > .cm-searching,
+.jp-current-match > .cm-searching span,
+.cm-searching > .jp-current-match,
+.cm-searching > .jp-current-match span {
+  background-color: var(--jp-search-selected-match-background-color);
+  color: var(--jp-search-selected-match-color);
+}
+
+.jp-current-match > .cm-searching::selection,
+.cm-searching > .jp-current-match::selection,
+.jp-current-match > .cm-searching span::selection {
+  background-color: var(--jp-search-selected-match-background-color);
+  color: var(--jp-search-selected-match-color);
+}
+
+.cm-trailingspace {
+  background-image: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAgAAAAFCAYAAAB4ka1VAAAAsElEQVQIHQGlAFr/AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA7+r3zKmT0/+pk9P/7+r3zAAAAAAAAAAABAAAAAAAAAAA6OPzM+/q9wAAAAAA6OPzMwAAAAAAAAAAAgAAAAAAAAAAGR8NiRQaCgAZIA0AGR8NiQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQyoYJ/SY80UAAAAASUVORK5CYII=);
+  background-position: center left;
+  background-repeat: repeat-x;
+}
+
+.jp-CollaboratorCursor-hover {
+  position: absolute;
+  z-index: 1;
+  transform: translateX(-50%);
+  color: white;
+  border-radius: 3px;
+  padding-left: 4px;
+  padding-right: 4px;
+  padding-top: 1px;
+  padding-bottom: 1px;
+  text-align: center;
+  font-size: var(--jp-ui-font-size1);
+  white-space: nowrap;
+}
+
+.jp-CodeMirror-ruler {
+  border-left: 1px dashed var(--jp-border-color2);
+}
+
+/* Styles for shared cursors (remote cursor locations and selected ranges) */
+.jp-CodeMirrorEditor .cm-ySelectionCaret {
+  position: relative;
+  border-left: 1px solid black;
+  margin-left: -1px;
+  margin-right: -1px;
+  box-sizing: border-box;
+}
+
+.jp-CodeMirrorEditor .cm-ySelectionCaret > .cm-ySelectionInfo {
+  white-space: nowrap;
+  position: absolute;
+  top: -1.15em;
+  padding-bottom: 0.05em;
+  left: -1px;
+  font-size: 0.95em;
+  font-family: var(--jp-ui-font-family);
+  font-weight: bold;
+  line-height: normal;
+  user-select: none;
+  color: white;
+  padding-left: 2px;
+  padding-right: 2px;
+  z-index: 101;
+  transition: opacity 0.3s ease-in-out;
+}
+
+.jp-CodeMirrorEditor .cm-ySelectionInfo {
+  transition-delay: 0.7s;
+  opacity: 0;
+}
+
+.jp-CodeMirrorEditor .cm-ySelectionCaret:hover > .cm-ySelectionInfo {
+  opacity: 1;
+  transition-delay: 0s;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-MimeDocument {
+  outline: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-filebrowser-button-height: 28px;
+  --jp-private-filebrowser-button-width: 48px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-FileBrowser .jp-SidePanel-content {
+  display: flex;
+  flex-direction: column;
+}
+
+.jp-FileBrowser-toolbar.jp-Toolbar {
+  flex-wrap: wrap;
+  row-gap: 12px;
+  border-bottom: none;
+  height: auto;
+  margin: 8px 12px 0;
+  box-shadow: none;
+  padding: 0;
+  justify-content: flex-start;
+}
+
+.jp-FileBrowser-Panel {
+  flex: 1 1 auto;
+  display: flex;
+  flex-direction: column;
+}
+
+.jp-BreadCrumbs {
+  flex: 0 0 auto;
+  margin: 8px 12px;
+}
+
+.jp-BreadCrumbs-item {
+  margin: 0 2px;
+  padding: 0 2px;
+  border-radius: var(--jp-border-radius);
+  cursor: pointer;
+}
+
+.jp-BreadCrumbs-item:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-BreadCrumbs-item:first-child {
+  margin-left: 0;
+}
+
+.jp-BreadCrumbs-item.jp-mod-dropTarget {
+  background-color: var(--jp-brand-color2);
+  opacity: 0.7;
+}
+
+/*-----------------------------------------------------------------------------
+| Buttons
+|----------------------------------------------------------------------------*/
+
+.jp-FileBrowser-toolbar > .jp-Toolbar-item {
+  flex: 0 0 auto;
+  padding-left: 0;
+  padding-right: 2px;
+  align-items: center;
+  height: unset;
+}
+
+.jp-FileBrowser-toolbar > .jp-Toolbar-item .jp-ToolbarButtonComponent {
+  width: 40px;
+}
+
+/*-----------------------------------------------------------------------------
+| Other styles
+|----------------------------------------------------------------------------*/
+
+.jp-FileDialog.jp-mod-conflict input {
+  color: var(--jp-error-color1);
+}
+
+.jp-FileDialog .jp-new-name-title {
+  margin-top: 12px;
+}
+
+.jp-LastModified-hidden {
+  display: none;
+}
+
+.jp-FileSize-hidden {
+  display: none;
+}
+
+.jp-FileBrowser .lm-AccordionPanel > h3:first-child {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| DirListing
+|----------------------------------------------------------------------------*/
+
+.jp-DirListing {
+  flex: 1 1 auto;
+  display: flex;
+  flex-direction: column;
+  outline: 0;
+}
+
+.jp-DirListing-header {
+  flex: 0 0 auto;
+  display: flex;
+  flex-direction: row;
+  align-items: center;
+  overflow: hidden;
+  border-top: var(--jp-border-width) solid var(--jp-border-color2);
+  border-bottom: var(--jp-border-width) solid var(--jp-border-color1);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  z-index: 2;
+}
+
+.jp-DirListing-headerItem {
+  padding: 4px 12px 2px;
+  font-weight: 500;
+}
+
+.jp-DirListing-headerItem:hover {
+  background: var(--jp-layout-color2);
+}
+
+.jp-DirListing-headerItem.jp-id-name {
+  flex: 1 0 84px;
+}
+
+.jp-DirListing-headerItem.jp-id-modified {
+  flex: 0 0 112px;
+  border-left: var(--jp-border-width) solid var(--jp-border-color2);
+  text-align: right;
+}
+
+.jp-DirListing-headerItem.jp-id-filesize {
+  flex: 0 0 75px;
+  border-left: var(--jp-border-width) solid var(--jp-border-color2);
+  text-align: right;
+}
+
+.jp-id-narrow {
+  display: none;
+  flex: 0 0 5px;
+  padding: 4px;
+  border-left: var(--jp-border-width) solid var(--jp-border-color2);
+  text-align: right;
+  color: var(--jp-border-color2);
+}
+
+.jp-DirListing-narrow .jp-id-narrow {
+  display: block;
+}
+
+.jp-DirListing-narrow .jp-id-modified,
+.jp-DirListing-narrow .jp-DirListing-itemModified {
+  display: none;
+}
+
+.jp-DirListing-headerItem.jp-mod-selected {
+  font-weight: 600;
+}
+
+/* increase specificity to override bundled default */
+.jp-DirListing-content {
+  flex: 1 1 auto;
+  margin: 0;
+  padding: 0;
+  list-style-type: none;
+  overflow: auto;
+  background-color: var(--jp-layout-color1);
+}
+
+.jp-DirListing-content mark {
+  color: var(--jp-ui-font-color0);
+  background-color: transparent;
+  font-weight: bold;
+}
+
+.jp-DirListing-content .jp-DirListing-item.jp-mod-selected mark {
+  color: var(--jp-ui-inverse-font-color0);
+}
+
+/* Style the directory listing content when a user drops a file to upload */
+.jp-DirListing.jp-mod-native-drop .jp-DirListing-content {
+  outline: 5px dashed rgba(128, 128, 128, 0.5);
+  outline-offset: -10px;
+  cursor: copy;
+}
+
+.jp-DirListing-item {
+  display: flex;
+  flex-direction: row;
+  align-items: center;
+  padding: 4px 12px;
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.jp-DirListing-checkboxWrapper {
+  /* Increases hit area of checkbox. */
+  padding: 4px;
+}
+
+.jp-DirListing-header
+  .jp-DirListing-checkboxWrapper
+  + .jp-DirListing-headerItem {
+  padding-left: 4px;
+}
+
+.jp-DirListing-content .jp-DirListing-checkboxWrapper {
+  position: relative;
+  left: -4px;
+  margin: -4px 0 -4px -8px;
+}
+
+.jp-DirListing-checkboxWrapper.jp-mod-visible {
+  visibility: visible;
+}
+
+/* For devices that support hovering, hide checkboxes until hovered, selected...
+*/
+@media (hover: hover) {
+  .jp-DirListing-checkboxWrapper {
+    visibility: hidden;
+  }
+
+  .jp-DirListing-item:hover .jp-DirListing-checkboxWrapper,
+  .jp-DirListing-item.jp-mod-selected .jp-DirListing-checkboxWrapper {
+    visibility: visible;
+  }
+}
+
+.jp-DirListing-item[data-is-dot] {
+  opacity: 75%;
+}
+
+.jp-DirListing-item.jp-mod-selected {
+  color: var(--jp-ui-inverse-font-color1);
+  background: var(--jp-brand-color1);
+}
+
+.jp-DirListing-item.jp-mod-dropTarget {
+  background: var(--jp-brand-color3);
+}
+
+.jp-DirListing-item:hover:not(.jp-mod-selected) {
+  background: var(--jp-layout-color2);
+}
+
+.jp-DirListing-itemIcon {
+  flex: 0 0 20px;
+  margin-right: 4px;
+}
+
+.jp-DirListing-itemText {
+  flex: 1 0 64px;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+  user-select: none;
+}
+
+.jp-DirListing-itemText:focus {
+  outline-width: 2px;
+  outline-color: var(--jp-inverse-layout-color1);
+  outline-style: solid;
+  outline-offset: 1px;
+}
+
+.jp-DirListing-item.jp-mod-selected .jp-DirListing-itemText:focus {
+  outline-color: var(--jp-layout-color1);
+}
+
+.jp-DirListing-itemModified {
+  flex: 0 0 125px;
+  text-align: right;
+}
+
+.jp-DirListing-itemFileSize {
+  flex: 0 0 90px;
+  text-align: right;
+}
+
+.jp-DirListing-editor {
+  flex: 1 0 64px;
+  outline: none;
+  border: none;
+  color: var(--jp-ui-font-color1);
+  background-color: var(--jp-layout-color1);
+}
+
+.jp-DirListing-item.jp-mod-running .jp-DirListing-itemIcon::before {
+  color: var(--jp-success-color1);
+  content: '\25CF';
+  font-size: 8px;
+  position: absolute;
+  left: -8px;
+}
+
+.jp-DirListing-item.jp-mod-running.jp-mod-selected
+  .jp-DirListing-itemIcon::before {
+  color: var(--jp-ui-inverse-font-color1);
+}
+
+.jp-DirListing-item.lm-mod-drag-image,
+.jp-DirListing-item.jp-mod-selected.lm-mod-drag-image {
+  font-size: var(--jp-ui-font-size1);
+  padding-left: 4px;
+  margin-left: 4px;
+  width: 160px;
+  background-color: var(--jp-ui-inverse-font-color2);
+  box-shadow: var(--jp-elevation-z2);
+  border-radius: 0;
+  color: var(--jp-ui-font-color1);
+  transform: translateX(-40%) translateY(-58%);
+}
+
+.jp-Document {
+  min-width: 120px;
+  min-height: 120px;
+  outline: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Main OutputArea
+| OutputArea has a list of Outputs
+|----------------------------------------------------------------------------*/
+
+.jp-OutputArea {
+  overflow-y: auto;
+}
+
+.jp-OutputArea-child {
+  display: table;
+  table-layout: fixed;
+  width: 100%;
+  overflow: hidden;
+}
+
+.jp-OutputPrompt {
+  width: var(--jp-cell-prompt-width);
+  color: var(--jp-cell-outprompt-font-color);
+  font-family: var(--jp-cell-prompt-font-family);
+  padding: var(--jp-code-padding);
+  letter-spacing: var(--jp-cell-prompt-letter-spacing);
+  line-height: var(--jp-code-line-height);
+  font-size: var(--jp-code-font-size);
+  border: var(--jp-border-width) solid transparent;
+  opacity: var(--jp-cell-prompt-opacity);
+
+  /* Right align prompt text, don't wrap to handle large prompt numbers */
+  text-align: right;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+
+  /* Disable text selection */
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.jp-OutputArea-prompt {
+  display: table-cell;
+  vertical-align: top;
+}
+
+.jp-OutputArea-output {
+  display: table-cell;
+  width: 100%;
+  height: auto;
+  overflow: auto;
+  user-select: text;
+  -moz-user-select: text;
+  -webkit-user-select: text;
+  -ms-user-select: text;
+}
+
+.jp-OutputArea .jp-RenderedText {
+  padding-left: 1ch;
+}
+
+/**
+ * Prompt overlay.
+ */
+
+.jp-OutputArea-promptOverlay {
+  position: absolute;
+  top: 0;
+  width: var(--jp-cell-prompt-width);
+  height: 100%;
+  opacity: 0.5;
+}
+
+.jp-OutputArea-promptOverlay:hover {
+  background: var(--jp-layout-color2);
+  box-shadow: inset 0 0 1px var(--jp-inverse-layout-color0);
+  cursor: zoom-out;
+}
+
+.jp-mod-outputsScrolled .jp-OutputArea-promptOverlay:hover {
+  cursor: zoom-in;
+}
+
+/**
+ * Isolated output.
+ */
+.jp-OutputArea-output.jp-mod-isolated {
+  width: 100%;
+  display: block;
+}
+
+/*
+When drag events occur, `lm-mod-override-cursor` is added to the body.
+Because iframes steal all cursor events, the following two rules are necessary
+to suppress pointer events while resize drags are occurring. There may be a
+better solution to this problem.
+*/
+body.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated {
+  position: relative;
+}
+
+body.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated::before {
+  content: '';
+  position: absolute;
+  top: 0;
+  left: 0;
+  right: 0;
+  bottom: 0;
+  background: transparent;
+}
+
+/* pre */
+
+.jp-OutputArea-output pre {
+  border: none;
+  margin: 0;
+  padding: 0;
+  overflow-x: auto;
+  overflow-y: auto;
+  word-break: break-all;
+  word-wrap: break-word;
+  white-space: pre-wrap;
+}
+
+/* tables */
+
+.jp-OutputArea-output.jp-RenderedHTMLCommon table {
+  margin-left: 0;
+  margin-right: 0;
+}
+
+/* description lists */
+
+.jp-OutputArea-output dl,
+.jp-OutputArea-output dt,
+.jp-OutputArea-output dd {
+  display: block;
+}
+
+.jp-OutputArea-output dl {
+  width: 100%;
+  overflow: hidden;
+  padding: 0;
+  margin: 0;
+}
+
+.jp-OutputArea-output dt {
+  font-weight: bold;
+  float: left;
+  width: 20%;
+  padding: 0;
+  margin: 0;
+}
+
+.jp-OutputArea-output dd {
+  float: left;
+  width: 80%;
+  padding: 0;
+  margin: 0;
+}
+
+.jp-TrimmedOutputs pre {
+  background: var(--jp-layout-color3);
+  font-size: calc(var(--jp-code-font-size) * 1.4);
+  text-align: center;
+  text-transform: uppercase;
+}
+
+/* Hide the gutter in case of
+ *  - nested output areas (e.g. in the case of output widgets)
+ *  - mirrored output areas
+ */
+.jp-OutputArea .jp-OutputArea .jp-OutputArea-prompt {
+  display: none;
+}
+
+/* Hide empty lines in the output area, for instance due to cleared widgets */
+.jp-OutputArea-prompt:empty {
+  padding: 0;
+  border: 0;
+}
+
+/*-----------------------------------------------------------------------------
+| executeResult is added to any Output-result for the display of the object
+| returned by a cell
+|----------------------------------------------------------------------------*/
+
+.jp-OutputArea-output.jp-OutputArea-executeResult {
+  margin-left: 0;
+  width: 100%;
+}
+
+/* Text output with the Out[] prompt needs a top padding to match the
+ * alignment of the Out[] prompt itself.
+ */
+.jp-OutputArea-executeResult .jp-RenderedText.jp-OutputArea-output {
+  padding-top: var(--jp-code-padding);
+  border-top: var(--jp-border-width) solid transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| The Stdin output
+|----------------------------------------------------------------------------*/
+
+.jp-Stdin-prompt {
+  color: var(--jp-content-font-color0);
+  padding-right: var(--jp-code-padding);
+  vertical-align: baseline;
+  flex: 0 0 auto;
+}
+
+.jp-Stdin-input {
+  font-family: var(--jp-code-font-family);
+  font-size: inherit;
+  color: inherit;
+  background-color: inherit;
+  width: 42%;
+  min-width: 200px;
+
+  /* make sure input baseline aligns with prompt */
+  vertical-align: baseline;
+
+  /* padding + margin = 0.5em between prompt and cursor */
+  padding: 0 0.25em;
+  margin: 0 0.25em;
+  flex: 0 0 70%;
+}
+
+.jp-Stdin-input::placeholder {
+  opacity: 0;
+}
+
+.jp-Stdin-input:focus {
+  box-shadow: none;
+}
+
+.jp-Stdin-input:focus::placeholder {
+  opacity: 1;
+}
+
+/*-----------------------------------------------------------------------------
+| Output Area View
+|----------------------------------------------------------------------------*/
+
+.jp-LinkedOutputView .jp-OutputArea {
+  height: 100%;
+  display: block;
+}
+
+.jp-LinkedOutputView .jp-OutputArea-output:only-child {
+  height: 100%;
+}
+
+/*-----------------------------------------------------------------------------
+| Printing
+|----------------------------------------------------------------------------*/
+
+@media print {
+  .jp-OutputArea-child {
+    break-inside: avoid-page;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Mobile
+|----------------------------------------------------------------------------*/
+@media only screen and (max-width: 760px) {
+  .jp-OutputPrompt {
+    display: table-row;
+    text-align: left;
+  }
+
+  .jp-OutputArea-child .jp-OutputArea-output {
+    display: table-row;
+    margin-left: var(--jp-notebook-padding);
+  }
+}
+
+/* Trimmed outputs warning */
+.jp-TrimmedOutputs > a {
+  margin: 10px;
+  text-decoration: none;
+  cursor: pointer;
+}
+
+.jp-TrimmedOutputs > a:hover {
+  text-decoration: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Table of Contents
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-toc-active-width: 4px;
+}
+
+.jp-TableOfContents {
+  display: flex;
+  flex-direction: column;
+  background: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  height: 100%;
+}
+
+.jp-TableOfContents-placeholder {
+  text-align: center;
+}
+
+.jp-TableOfContents-placeholderContent {
+  color: var(--jp-content-font-color2);
+  padding: 8px;
+}
+
+.jp-TableOfContents-placeholderContent > h3 {
+  margin-bottom: var(--jp-content-heading-margin-bottom);
+}
+
+.jp-TableOfContents .jp-SidePanel-content {
+  overflow-y: auto;
+}
+
+.jp-TableOfContents-tree {
+  margin: 4px;
+}
+
+.jp-TableOfContents ol {
+  list-style-type: none;
+}
+
+/* stylelint-disable-next-line selector-max-type */
+.jp-TableOfContents li > ol {
+  /* Align left border with triangle icon center */
+  padding-left: 11px;
+}
+
+.jp-TableOfContents-content {
+  /* left margin for the active heading indicator */
+  margin: 0 0 0 var(--jp-private-toc-active-width);
+  padding: 0;
+  background-color: var(--jp-layout-color1);
+}
+
+.jp-tocItem {
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.jp-tocItem-heading {
+  display: flex;
+  cursor: pointer;
+}
+
+.jp-tocItem-heading:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-tocItem-content {
+  display: block;
+  padding: 4px 0;
+  white-space: nowrap;
+  text-overflow: ellipsis;
+  overflow-x: hidden;
+}
+
+.jp-tocItem-collapser {
+  height: 20px;
+  margin: 2px 2px 0;
+  padding: 0;
+  background: none;
+  border: none;
+  cursor: pointer;
+}
+
+.jp-tocItem-collapser:hover {
+  background-color: var(--jp-layout-color3);
+}
+
+/* Active heading indicator */
+
+.jp-tocItem-heading::before {
+  content: ' ';
+  background: transparent;
+  width: var(--jp-private-toc-active-width);
+  height: 24px;
+  position: absolute;
+  left: 0;
+  border-radius: var(--jp-border-radius);
+}
+
+.jp-tocItem-heading.jp-tocItem-active::before {
+  background-color: var(--jp-brand-color1);
+}
+
+.jp-tocItem-heading:hover.jp-tocItem-active::before {
+  background: var(--jp-brand-color0);
+  opacity: 1;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Collapser {
+  flex: 0 0 var(--jp-cell-collapser-width);
+  padding: 0;
+  margin: 0;
+  border: none;
+  outline: none;
+  background: transparent;
+  border-radius: var(--jp-border-radius);
+  opacity: 1;
+}
+
+.jp-Collapser-child {
+  display: block;
+  width: 100%;
+  box-sizing: border-box;
+
+  /* height: 100% doesn't work because the height of its parent is computed from content */
+  position: absolute;
+  top: 0;
+  bottom: 0;
+}
+
+/*-----------------------------------------------------------------------------
+| Printing
+|----------------------------------------------------------------------------*/
+
+/*
+Hiding collapsers in print mode.
+
+Note: input and output wrappers have "display: block" propery in print mode.
+*/
+
+@media print {
+  .jp-Collapser {
+    display: none;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Header/Footer
+|----------------------------------------------------------------------------*/
+
+/* Hidden by zero height by default */
+.jp-CellHeader,
+.jp-CellFooter {
+  height: 0;
+  width: 100%;
+  padding: 0;
+  margin: 0;
+  border: none;
+  outline: none;
+  background: transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Input
+|----------------------------------------------------------------------------*/
+
+/* All input areas */
+.jp-InputArea {
+  display: table;
+  table-layout: fixed;
+  width: 100%;
+  overflow: hidden;
+}
+
+.jp-InputArea-editor {
+  display: table-cell;
+  overflow: hidden;
+  vertical-align: top;
+
+  /* This is the non-active, default styling */
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  border-radius: 0;
+  background: var(--jp-cell-editor-background);
+}
+
+.jp-InputPrompt {
+  display: table-cell;
+  vertical-align: top;
+  width: var(--jp-cell-prompt-width);
+  color: var(--jp-cell-inprompt-font-color);
+  font-family: var(--jp-cell-prompt-font-family);
+  padding: var(--jp-code-padding);
+  letter-spacing: var(--jp-cell-prompt-letter-spacing);
+  opacity: var(--jp-cell-prompt-opacity);
+  line-height: var(--jp-code-line-height);
+  font-size: var(--jp-code-font-size);
+  border: var(--jp-border-width) solid transparent;
+
+  /* Right align prompt text, don't wrap to handle large prompt numbers */
+  text-align: right;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+
+  /* Disable text selection */
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Mobile
+|----------------------------------------------------------------------------*/
+@media only screen and (max-width: 760px) {
+  .jp-InputArea-editor {
+    display: table-row;
+    margin-left: var(--jp-notebook-padding);
+  }
+
+  .jp-InputPrompt {
+    display: table-row;
+    text-align: left;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Placeholder
+|----------------------------------------------------------------------------*/
+
+.jp-Placeholder {
+  display: table;
+  table-layout: fixed;
+  width: 100%;
+}
+
+.jp-Placeholder-prompt {
+  display: table-cell;
+  box-sizing: border-box;
+}
+
+.jp-Placeholder-content {
+  display: table-cell;
+  padding: 4px 6px;
+  border: 1px solid transparent;
+  border-radius: 0;
+  background: none;
+  box-sizing: border-box;
+  cursor: pointer;
+}
+
+.jp-Placeholder-contentContainer {
+  display: flex;
+}
+
+.jp-Placeholder-content:hover,
+.jp-InputPlaceholder > .jp-Placeholder-content:hover {
+  border-color: var(--jp-layout-color3);
+}
+
+.jp-Placeholder-content .jp-MoreHorizIcon {
+  width: 32px;
+  height: 16px;
+  border: 1px solid transparent;
+  border-radius: var(--jp-border-radius);
+}
+
+.jp-Placeholder-content .jp-MoreHorizIcon:hover {
+  border: 1px solid var(--jp-border-color1);
+  box-shadow: 0 0 2px 0 rgba(0, 0, 0, 0.25);
+  background-color: var(--jp-layout-color0);
+}
+
+.jp-PlaceholderText {
+  white-space: nowrap;
+  overflow-x: hidden;
+  color: var(--jp-inverse-layout-color3);
+  font-family: var(--jp-code-font-family);
+}
+
+.jp-InputPlaceholder > .jp-Placeholder-content {
+  border-color: var(--jp-cell-editor-border-color);
+  background: var(--jp-cell-editor-background);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Private CSS variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-cell-scrolling-output-offset: 5px;
+}
+
+/*-----------------------------------------------------------------------------
+| Cell
+|----------------------------------------------------------------------------*/
+
+.jp-Cell {
+  padding: var(--jp-cell-padding);
+  margin: 0;
+  border: none;
+  outline: none;
+  background: transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| Common input/output
+|----------------------------------------------------------------------------*/
+
+.jp-Cell-inputWrapper,
+.jp-Cell-outputWrapper {
+  display: flex;
+  flex-direction: row;
+  padding: 0;
+  margin: 0;
+
+  /* Added to reveal the box-shadow on the input and output collapsers. */
+  overflow: visible;
+}
+
+/* Only input/output areas inside cells */
+.jp-Cell-inputArea,
+.jp-Cell-outputArea {
+  flex: 1 1 auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Collapser
+|----------------------------------------------------------------------------*/
+
+/* Make the output collapser disappear when there is not output, but do so
+ * in a manner that leaves it in the layout and preserves its width.
+ */
+.jp-Cell.jp-mod-noOutputs .jp-Cell-outputCollapser {
+  border: none !important;
+  background: transparent !important;
+}
+
+.jp-Cell:not(.jp-mod-noOutputs) .jp-Cell-outputCollapser {
+  min-height: var(--jp-cell-collapser-min-height);
+}
+
+/*-----------------------------------------------------------------------------
+| Output
+|----------------------------------------------------------------------------*/
+
+/* Put a space between input and output when there IS output */
+.jp-Cell:not(.jp-mod-noOutputs) .jp-Cell-outputWrapper {
+  margin-top: 5px;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea {
+  overflow-y: auto;
+  max-height: 24em;
+  margin-left: var(--jp-private-cell-scrolling-output-offset);
+  resize: vertical;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea[style*='height'] {
+  max-height: unset;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea::after {
+  content: ' ';
+  box-shadow: inset 0 0 6px 2px rgb(0 0 0 / 30%);
+  width: 100%;
+  height: 100%;
+  position: sticky;
+  bottom: 0;
+  top: 0;
+  margin-top: -50%;
+  float: left;
+  display: block;
+  pointer-events: none;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-child {
+  padding-top: 6px;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-prompt {
+  width: calc(
+    var(--jp-cell-prompt-width) - var(--jp-private-cell-scrolling-output-offset)
+  );
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-promptOverlay {
+  left: calc(-1 * var(--jp-private-cell-scrolling-output-offset));
+}
+
+/*-----------------------------------------------------------------------------
+| CodeCell
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| MarkdownCell
+|----------------------------------------------------------------------------*/
+
+.jp-MarkdownOutput {
+  display: table-cell;
+  width: 100%;
+  margin-top: 0;
+  margin-bottom: 0;
+  padding-left: var(--jp-code-padding);
+}
+
+.jp-MarkdownOutput.jp-RenderedHTMLCommon {
+  overflow: auto;
+}
+
+/* collapseHeadingButton (show always if hiddenCellsButton is _not_ shown) */
+.jp-collapseHeadingButton {
+  display: flex;
+  min-height: var(--jp-cell-collapser-min-height);
+  font-size: var(--jp-code-font-size);
+  position: absolute;
+  background-color: transparent;
+  background-size: 25px;
+  background-repeat: no-repeat;
+  background-position-x: center;
+  background-position-y: top;
+  background-image: var(--jp-icon-caret-down);
+  right: 0;
+  top: 0;
+  bottom: 0;
+}
+
+.jp-collapseHeadingButton.jp-mod-collapsed {
+  background-image: var(--jp-icon-caret-right);
+}
+
+/*
+ set the container font size to match that of content
+ so that the nested collapse buttons have the right size
+*/
+.jp-MarkdownCell .jp-InputPrompt {
+  font-size: var(--jp-content-font-size1);
+}
+
+/*
+  Align collapseHeadingButton with cell top header
+  The font sizes are identical to the ones in packages/rendermime/style/base.css
+*/
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='1'] {
+  font-size: var(--jp-content-font-size5);
+  background-position-y: calc(0.3 * var(--jp-content-font-size5));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='2'] {
+  font-size: var(--jp-content-font-size4);
+  background-position-y: calc(0.3 * var(--jp-content-font-size4));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='3'] {
+  font-size: var(--jp-content-font-size3);
+  background-position-y: calc(0.3 * var(--jp-content-font-size3));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='4'] {
+  font-size: var(--jp-content-font-size2);
+  background-position-y: calc(0.3 * var(--jp-content-font-size2));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='5'] {
+  font-size: var(--jp-content-font-size1);
+  background-position-y: top;
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='6'] {
+  font-size: var(--jp-content-font-size0);
+  background-position-y: top;
+}
+
+/* collapseHeadingButton (show only on (hover,active) if hiddenCellsButton is shown) */
+.jp-Notebook.jp-mod-showHiddenCellsButton .jp-collapseHeadingButton {
+  display: none;
+}
+
+.jp-Notebook.jp-mod-showHiddenCellsButton
+  :is(.jp-MarkdownCell:hover, .jp-mod-active)
+  .jp-collapseHeadingButton {
+  display: flex;
+}
+
+/* showHiddenCellsButton (only show if jp-mod-showHiddenCellsButton is set, which
+is a consequence of the showHiddenCellsButton option in Notebook Settings)*/
+.jp-Notebook.jp-mod-showHiddenCellsButton .jp-showHiddenCellsButton {
+  margin-left: calc(var(--jp-cell-prompt-width) + 2 * var(--jp-code-padding));
+  margin-top: var(--jp-code-padding);
+  border: 1px solid var(--jp-border-color2);
+  background-color: var(--jp-border-color3) !important;
+  color: var(--jp-content-font-color0) !important;
+  display: flex;
+}
+
+.jp-Notebook.jp-mod-showHiddenCellsButton .jp-showHiddenCellsButton:hover {
+  background-color: var(--jp-border-color2) !important;
+}
+
+.jp-showHiddenCellsButton {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Printing
+|----------------------------------------------------------------------------*/
+
+/*
+Using block instead of flex to allow the use of the break-inside CSS property for
+cell outputs.
+*/
+
+@media print {
+  .jp-Cell-inputWrapper,
+  .jp-Cell-outputWrapper {
+    display: block;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-notebook-toolbar-padding: 2px 5px 2px 2px;
+}
+
+/*-----------------------------------------------------------------------------
+
+/*-----------------------------------------------------------------------------
+| Styles
+|----------------------------------------------------------------------------*/
+
+.jp-NotebookPanel-toolbar {
+  padding: var(--jp-notebook-toolbar-padding);
+
+  /* disable paint containment from lumino 2.0 default strict CSS containment */
+  contain: style size !important;
+}
+
+.jp-Toolbar-item.jp-Notebook-toolbarCellType .jp-select-wrapper.jp-mod-focused {
+  border: none;
+  box-shadow: none;
+}
+
+.jp-Notebook-toolbarCellTypeDropdown select {
+  height: 24px;
+  font-size: var(--jp-ui-font-size1);
+  line-height: 14px;
+  border-radius: 0;
+  display: block;
+}
+
+.jp-Notebook-toolbarCellTypeDropdown span {
+  top: 5px !important;
+}
+
+.jp-Toolbar-responsive-popup {
+  position: absolute;
+  height: fit-content;
+  display: flex;
+  flex-direction: row;
+  flex-wrap: wrap;
+  justify-content: flex-end;
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  background: var(--jp-toolbar-background);
+  min-height: var(--jp-toolbar-micro-height);
+  padding: var(--jp-notebook-toolbar-padding);
+  z-index: 1;
+  right: 0;
+  top: 0;
+}
+
+.jp-Toolbar > .jp-Toolbar-responsive-opener {
+  margin-left: auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+
+/*-----------------------------------------------------------------------------
+| Styles
+|----------------------------------------------------------------------------*/
+
+.jp-Notebook-ExecutionIndicator {
+  position: relative;
+  display: inline-block;
+  height: 100%;
+  z-index: 9997;
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip {
+  visibility: hidden;
+  height: auto;
+  width: max-content;
+  width: -moz-max-content;
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color1);
+  text-align: justify;
+  border-radius: 6px;
+  padding: 0 5px;
+  position: fixed;
+  display: table;
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip.up {
+  transform: translateX(-50%) translateY(-100%) translateY(-32px);
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip.down {
+  transform: translateX(calc(-100% + 16px)) translateY(5px);
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip.hidden {
+  display: none;
+}
+
+.jp-Notebook-ExecutionIndicator:hover .jp-Notebook-ExecutionIndicator-tooltip {
+  visibility: visible;
+}
+
+.jp-Notebook-ExecutionIndicator span {
+  font-size: var(--jp-ui-font-size1);
+  font-family: var(--jp-ui-font-family);
+  color: var(--jp-ui-font-color1);
+  line-height: 24px;
+  display: block;
+}
+
+.jp-Notebook-ExecutionIndicator-progress-bar {
+  display: flex;
+  justify-content: center;
+  height: 100%;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*
+ * Execution indicator
+ */
+.jp-tocItem-content::after {
+  content: '';
+
+  /* Must be identical to form a circle */
+  width: 12px;
+  height: 12px;
+  background: none;
+  border: none;
+  position: absolute;
+  right: 0;
+}
+
+.jp-tocItem-content[data-running='0']::after {
+  border-radius: 50%;
+  border: var(--jp-border-width) solid var(--jp-inverse-layout-color3);
+  background: none;
+}
+
+.jp-tocItem-content[data-running='1']::after {
+  border-radius: 50%;
+  border: var(--jp-border-width) solid var(--jp-inverse-layout-color3);
+  background-color: var(--jp-inverse-layout-color3);
+}
+
+.jp-tocItem-content[data-running='0'],
+.jp-tocItem-content[data-running='1'] {
+  margin-right: 12px;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-Notebook-footer {
+  height: 27px;
+  margin-left: calc(
+    var(--jp-cell-prompt-width) + var(--jp-cell-collapser-width) +
+      var(--jp-cell-padding)
+  );
+  width: calc(
+    100% -
+      (
+        var(--jp-cell-prompt-width) + var(--jp-cell-collapser-width) +
+          var(--jp-cell-padding) + var(--jp-cell-padding)
+      )
+  );
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  color: var(--jp-ui-font-color3);
+  margin-top: 6px;
+  background: none;
+  cursor: pointer;
+}
+
+.jp-Notebook-footer:focus {
+  border-color: var(--jp-cell-editor-active-border-color);
+}
+
+/* For devices that support hovering, hide footer until hover */
+@media (hover: hover) {
+  .jp-Notebook-footer {
+    opacity: 0;
+  }
+
+  .jp-Notebook-footer:focus,
+  .jp-Notebook-footer:hover {
+    opacity: 1;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Imports
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| CSS variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-side-by-side-output-size: 1fr;
+  --jp-side-by-side-resized-cell: var(--jp-side-by-side-output-size);
+  --jp-private-notebook-dragImage-width: 304px;
+  --jp-private-notebook-dragImage-height: 36px;
+  --jp-private-notebook-selected-color: var(--md-blue-400);
+  --jp-private-notebook-active-color: var(--md-green-400);
+}
+
+/*-----------------------------------------------------------------------------
+| Notebook
+|----------------------------------------------------------------------------*/
+
+/* stylelint-disable selector-max-class */
+
+.jp-NotebookPanel {
+  display: block;
+  height: 100%;
+}
+
+.jp-NotebookPanel.jp-Document {
+  min-width: 240px;
+  min-height: 120px;
+}
+
+.jp-Notebook {
+  padding: var(--jp-notebook-padding);
+  outline: none;
+  overflow: auto;
+  background: var(--jp-layout-color0);
+}
+
+.jp-Notebook.jp-mod-scrollPastEnd::after {
+  display: block;
+  content: '';
+  min-height: var(--jp-notebook-scroll-padding);
+}
+
+.jp-MainAreaWidget-ContainStrict .jp-Notebook * {
+  contain: strict;
+}
+
+.jp-Notebook .jp-Cell {
+  overflow: visible;
+}
+
+.jp-Notebook .jp-Cell .jp-InputPrompt {
+  cursor: move;
+}
+
+/*-----------------------------------------------------------------------------
+| Notebook state related styling
+|
+| The notebook and cells each have states, here are the possibilities:
+|
+| - Notebook
+|   - Command
+|   - Edit
+| - Cell
+|   - None
+|   - Active (only one can be active)
+|   - Selected (the cells actions are applied to)
+|   - Multiselected (when multiple selected, the cursor)
+|   - No outputs
+|----------------------------------------------------------------------------*/
+
+/* Command or edit modes */
+
+.jp-Notebook .jp-Cell:not(.jp-mod-active) .jp-InputPrompt {
+  opacity: var(--jp-cell-prompt-not-active-opacity);
+  color: var(--jp-cell-prompt-not-active-font-color);
+}
+
+.jp-Notebook .jp-Cell:not(.jp-mod-active) .jp-OutputPrompt {
+  opacity: var(--jp-cell-prompt-not-active-opacity);
+  color: var(--jp-cell-prompt-not-active-font-color);
+}
+
+/* cell is active */
+.jp-Notebook .jp-Cell.jp-mod-active .jp-Collapser {
+  background: var(--jp-brand-color1);
+}
+
+/* cell is dirty */
+.jp-Notebook .jp-Cell.jp-mod-dirty .jp-InputPrompt {
+  color: var(--jp-warn-color1);
+}
+
+.jp-Notebook .jp-Cell.jp-mod-dirty .jp-InputPrompt::before {
+  color: var(--jp-warn-color1);
+  content: '•';
+}
+
+.jp-Notebook .jp-Cell.jp-mod-active.jp-mod-dirty .jp-Collapser {
+  background: var(--jp-warn-color1);
+}
+
+/* collapser is hovered */
+.jp-Notebook .jp-Cell .jp-Collapser:hover {
+  box-shadow: var(--jp-elevation-z2);
+  background: var(--jp-brand-color1);
+  opacity: var(--jp-cell-collapser-not-active-hover-opacity);
+}
+
+/* cell is active and collapser is hovered */
+.jp-Notebook .jp-Cell.jp-mod-active .jp-Collapser:hover {
+  background: var(--jp-brand-color0);
+  opacity: 1;
+}
+
+/* Command mode */
+
+.jp-Notebook.jp-mod-commandMode .jp-Cell.jp-mod-selected {
+  background: var(--jp-notebook-multiselected-color);
+}
+
+.jp-Notebook.jp-mod-commandMode
+  .jp-Cell.jp-mod-active.jp-mod-selected:not(.jp-mod-multiSelected) {
+  background: transparent;
+}
+
+/* Edit mode */
+
+.jp-Notebook.jp-mod-editMode .jp-Cell.jp-mod-active .jp-InputArea-editor {
+  border: var(--jp-border-width) solid var(--jp-cell-editor-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+  background-color: var(--jp-cell-editor-active-background);
+}
+
+/*-----------------------------------------------------------------------------
+| Notebook drag and drop
+|----------------------------------------------------------------------------*/
+
+.jp-Notebook-cell.jp-mod-dropSource {
+  opacity: 0.5;
+}
+
+.jp-Notebook-cell.jp-mod-dropTarget,
+.jp-Notebook.jp-mod-commandMode
+  .jp-Notebook-cell.jp-mod-active.jp-mod-selected.jp-mod-dropTarget {
+  border-top-color: var(--jp-private-notebook-selected-color);
+  border-top-style: solid;
+  border-top-width: 2px;
+}
+
+.jp-dragImage {
+  display: block;
+  flex-direction: row;
+  width: var(--jp-private-notebook-dragImage-width);
+  height: var(--jp-private-notebook-dragImage-height);
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  background: var(--jp-cell-editor-background);
+  overflow: visible;
+}
+
+.jp-dragImage-singlePrompt {
+  box-shadow: 2px 2px 4px 0 rgba(0, 0, 0, 0.12);
+}
+
+.jp-dragImage .jp-dragImage-content {
+  flex: 1 1 auto;
+  z-index: 2;
+  font-size: var(--jp-code-font-size);
+  font-family: var(--jp-code-font-family);
+  line-height: var(--jp-code-line-height);
+  padding: var(--jp-code-padding);
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  background: var(--jp-cell-editor-background-color);
+  color: var(--jp-content-font-color3);
+  text-align: left;
+  margin: 4px 4px 4px 0;
+}
+
+.jp-dragImage .jp-dragImage-prompt {
+  flex: 0 0 auto;
+  min-width: 36px;
+  color: var(--jp-cell-inprompt-font-color);
+  padding: var(--jp-code-padding);
+  padding-left: 12px;
+  font-family: var(--jp-cell-prompt-font-family);
+  letter-spacing: var(--jp-cell-prompt-letter-spacing);
+  line-height: 1.9;
+  font-size: var(--jp-code-font-size);
+  border: var(--jp-border-width) solid transparent;
+}
+
+.jp-dragImage-multipleBack {
+  z-index: -1;
+  position: absolute;
+  height: 32px;
+  width: 300px;
+  top: 8px;
+  left: 8px;
+  background: var(--jp-layout-color2);
+  border: var(--jp-border-width) solid var(--jp-input-border-color);
+  box-shadow: 2px 2px 4px 0 rgba(0, 0, 0, 0.12);
+}
+
+/*-----------------------------------------------------------------------------
+| Cell toolbar
+|----------------------------------------------------------------------------*/
+
+.jp-NotebookTools {
+  display: block;
+  min-width: var(--jp-sidebar-min-width);
+  color: var(--jp-ui-font-color1);
+  background: var(--jp-layout-color1);
+
+  /* This is needed so that all font sizing of children done in ems is
+    * relative to this base size */
+  font-size: var(--jp-ui-font-size1);
+  overflow: auto;
+}
+
+.jp-ActiveCellTool {
+  padding: 12px 0;
+  display: flex;
+}
+
+.jp-ActiveCellTool-Content {
+  flex: 1 1 auto;
+}
+
+.jp-ActiveCellTool .jp-ActiveCellTool-CellContent {
+  background: var(--jp-cell-editor-background);
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  border-radius: 0;
+  min-height: 29px;
+}
+
+.jp-ActiveCellTool .jp-InputPrompt {
+  min-width: calc(var(--jp-cell-prompt-width) * 0.75);
+}
+
+.jp-ActiveCellTool-CellContent > pre {
+  padding: 5px 4px;
+  margin: 0;
+  white-space: normal;
+}
+
+.jp-MetadataEditorTool {
+  flex-direction: column;
+  padding: 12px 0;
+}
+
+.jp-RankedPanel > :not(:first-child) {
+  margin-top: 12px;
+}
+
+.jp-KeySelector select.jp-mod-styled {
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color0);
+  border: var(--jp-border-width) solid var(--jp-border-color1);
+}
+
+.jp-KeySelector label,
+.jp-MetadataEditorTool label,
+.jp-NumberSetter label {
+  line-height: 1.4;
+}
+
+.jp-NotebookTools .jp-select-wrapper {
+  margin-top: 4px;
+  margin-bottom: 0;
+}
+
+.jp-NumberSetter input {
+  width: 100%;
+  margin-top: 4px;
+}
+
+.jp-NotebookTools .jp-Collapse {
+  margin-top: 16px;
+}
+
+/*-----------------------------------------------------------------------------
+| Presentation Mode (.jp-mod-presentationMode)
+|----------------------------------------------------------------------------*/
+
+.jp-mod-presentationMode .jp-Notebook {
+  --jp-content-font-size1: var(--jp-content-presentation-font-size1);
+  --jp-code-font-size: var(--jp-code-presentation-font-size);
+}
+
+.jp-mod-presentationMode .jp-Notebook .jp-Cell .jp-InputPrompt,
+.jp-mod-presentationMode .jp-Notebook .jp-Cell .jp-OutputPrompt {
+  flex: 0 0 110px;
+}
+
+/*-----------------------------------------------------------------------------
+| Side-by-side Mode (.jp-mod-sideBySide)
+|----------------------------------------------------------------------------*/
+.jp-mod-sideBySide.jp-Notebook .jp-Notebook-cell {
+  margin-top: 3em;
+  margin-bottom: 3em;
+  margin-left: 5%;
+  margin-right: 5%;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell {
+  display: grid;
+  grid-template-columns: minmax(0, 1fr) min-content minmax(
+      0,
+      var(--jp-side-by-side-output-size)
+    );
+  grid-template-rows: auto minmax(0, 1fr) auto;
+  grid-template-areas:
+    'header header header'
+    'input handle output'
+    'footer footer footer';
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell.jp-mod-resizedCell {
+  grid-template-columns: minmax(0, 1fr) min-content minmax(
+      0,
+      var(--jp-side-by-side-resized-cell)
+    );
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellHeader {
+  grid-area: header;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-Cell-inputWrapper {
+  grid-area: input;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-Cell-outputWrapper {
+  /* overwrite the default margin (no vertical separation needed in side by side move */
+  margin-top: 0;
+  grid-area: output;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellFooter {
+  grid-area: footer;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellResizeHandle {
+  grid-area: handle;
+  user-select: none;
+  display: block;
+  height: 100%;
+  cursor: ew-resize;
+  padding: 0 var(--jp-cell-padding);
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellResizeHandle::after {
+  content: '';
+  display: block;
+  background: var(--jp-border-color2);
+  height: 100%;
+  width: 5px;
+}
+
+.jp-mod-sideBySide.jp-Notebook
+  .jp-CodeCell.jp-mod-resizedCell
+  .jp-CellResizeHandle::after {
+  background: var(--jp-border-color0);
+}
+
+.jp-CellResizeHandle {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Placeholder
+|----------------------------------------------------------------------------*/
+
+.jp-Cell-Placeholder {
+  padding-left: 55px;
+}
+
+.jp-Cell-Placeholder-wrapper {
+  background: #fff;
+  border: 1px solid;
+  border-color: #e5e6e9 #dfe0e4 #d0d1d5;
+  border-radius: 4px;
+  -webkit-border-radius: 4px;
+  margin: 10px 15px;
+}
+
+.jp-Cell-Placeholder-wrapper-inner {
+  padding: 15px;
+  position: relative;
+}
+
+.jp-Cell-Placeholder-wrapper-body {
+  background-repeat: repeat;
+  background-size: 50% auto;
+}
+
+.jp-Cell-Placeholder-wrapper-body div {
+  background: #f6f7f8;
+  background-image: -webkit-linear-gradient(
+    left,
+    #f6f7f8 0%,
+    #edeef1 20%,
+    #f6f7f8 40%,
+    #f6f7f8 100%
+  );
+  background-repeat: no-repeat;
+  background-size: 800px 104px;
+  height: 104px;
+  position: absolute;
+  right: 15px;
+  left: 15px;
+  top: 15px;
+}
+
+div.jp-Cell-Placeholder-h1 {
+  top: 20px;
+  height: 20px;
+  left: 15px;
+  width: 150px;
+}
+
+div.jp-Cell-Placeholder-h2 {
+  left: 15px;
+  top: 50px;
+  height: 10px;
+  width: 100px;
+}
+
+div.jp-Cell-Placeholder-content-1,
+div.jp-Cell-Placeholder-content-2,
+div.jp-Cell-Placeholder-content-3 {
+  left: 15px;
+  right: 15px;
+  height: 10px;
+}
+
+div.jp-Cell-Placeholder-content-1 {
+  top: 100px;
+}
+
+div.jp-Cell-Placeholder-content-2 {
+  top: 120px;
+}
+
+div.jp-Cell-Placeholder-content-3 {
+  top: 140px;
+}
+
+</style>
+<style type="text/css">
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*
+The following CSS variables define the main, public API for styling JupyterLab.
+These variables should be used by all plugins wherever possible. In other
+words, plugins should not define custom colors, sizes, etc unless absolutely
+necessary. This enables users to change the visual theme of JupyterLab
+by changing these variables.
+
+Many variables appear in an ordered sequence (0,1,2,3). These sequences
+are designed to work well together, so for example, `--jp-border-color1` should
+be used with `--jp-layout-color1`. The numbers have the following meanings:
+
+* 0: super-primary, reserved for special emphasis
+* 1: primary, most important under normal situations
+* 2: secondary, next most important under normal situations
+* 3: tertiary, next most important under normal situations
+
+Throughout JupyterLab, we are mostly following principles from Google's
+Material Design when selecting colors. We are not, however, following
+all of MD as it is not optimized for dense, information rich UIs.
+*/
+
+:root {
+  /* Elevation
+   *
+   * We style box-shadows using Material Design's idea of elevation. These particular numbers are taken from here:
+   *
+   * https://github.com/material-components/material-components-web
+   * https://material-components-web.appspot.com/elevation.html
+   */
+
+  --jp-shadow-base-lightness: 0;
+  --jp-shadow-umbra-color: rgba(
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    0.2
+  );
+  --jp-shadow-penumbra-color: rgba(
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    0.14
+  );
+  --jp-shadow-ambient-color: rgba(
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    0.12
+  );
+  --jp-elevation-z0: none;
+  --jp-elevation-z1: 0 2px 1px -1px var(--jp-shadow-umbra-color),
+    0 1px 1px 0 var(--jp-shadow-penumbra-color),
+    0 1px 3px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z2: 0 3px 1px -2px var(--jp-shadow-umbra-color),
+    0 2px 2px 0 var(--jp-shadow-penumbra-color),
+    0 1px 5px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z4: 0 2px 4px -1px var(--jp-shadow-umbra-color),
+    0 4px 5px 0 var(--jp-shadow-penumbra-color),
+    0 1px 10px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z6: 0 3px 5px -1px var(--jp-shadow-umbra-color),
+    0 6px 10px 0 var(--jp-shadow-penumbra-color),
+    0 1px 18px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z8: 0 5px 5px -3px var(--jp-shadow-umbra-color),
+    0 8px 10px 1px var(--jp-shadow-penumbra-color),
+    0 3px 14px 2px var(--jp-shadow-ambient-color);
+  --jp-elevation-z12: 0 7px 8px -4px var(--jp-shadow-umbra-color),
+    0 12px 17px 2px var(--jp-shadow-penumbra-color),
+    0 5px 22px 4px var(--jp-shadow-ambient-color);
+  --jp-elevation-z16: 0 8px 10px -5px var(--jp-shadow-umbra-color),
+    0 16px 24px 2px var(--jp-shadow-penumbra-color),
+    0 6px 30px 5px var(--jp-shadow-ambient-color);
+  --jp-elevation-z20: 0 10px 13px -6px var(--jp-shadow-umbra-color),
+    0 20px 31px 3px var(--jp-shadow-penumbra-color),
+    0 8px 38px 7px var(--jp-shadow-ambient-color);
+  --jp-elevation-z24: 0 11px 15px -7px var(--jp-shadow-umbra-color),
+    0 24px 38px 3px var(--jp-shadow-penumbra-color),
+    0 9px 46px 8px var(--jp-shadow-ambient-color);
+
+  /* Borders
+   *
+   * The following variables, specify the visual styling of borders in JupyterLab.
+   */
+
+  --jp-border-width: 1px;
+  --jp-border-color0: var(--md-grey-400);
+  --jp-border-color1: var(--md-grey-400);
+  --jp-border-color2: var(--md-grey-300);
+  --jp-border-color3: var(--md-grey-200);
+  --jp-inverse-border-color: var(--md-grey-600);
+  --jp-border-radius: 2px;
+
+  /* UI Fonts
+   *
+   * The UI font CSS variables are used for the typography all of the JupyterLab
+   * user interface elements that are not directly user generated content.
+   *
+   * The font sizing here is done assuming that the body font size of --jp-ui-font-size1
+   * is applied to a parent element. When children elements, such as headings, are sized
+   * in em all things will be computed relative to that body size.
+   */
+
+  --jp-ui-font-scale-factor: 1.2;
+  --jp-ui-font-size0: 0.83333em;
+  --jp-ui-font-size1: 13px; /* Base font size */
+  --jp-ui-font-size2: 1.2em;
+  --jp-ui-font-size3: 1.44em;
+  --jp-ui-font-family: system-ui, -apple-system, blinkmacsystemfont, 'Segoe UI',
+    helvetica, arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji',
+    'Segoe UI Symbol';
+
+  /*
+   * Use these font colors against the corresponding main layout colors.
+   * In a light theme, these go from dark to light.
+   */
+
+  /* Defaults use Material Design specification */
+  --jp-ui-font-color0: rgba(0, 0, 0, 1);
+  --jp-ui-font-color1: rgba(0, 0, 0, 0.87);
+  --jp-ui-font-color2: rgba(0, 0, 0, 0.54);
+  --jp-ui-font-color3: rgba(0, 0, 0, 0.38);
+
+  /*
+   * Use these against the brand/accent/warn/error colors.
+   * These will typically go from light to darker, in both a dark and light theme.
+   */
+
+  --jp-ui-inverse-font-color0: rgba(255, 255, 255, 1);
+  --jp-ui-inverse-font-color1: rgba(255, 255, 255, 1);
+  --jp-ui-inverse-font-color2: rgba(255, 255, 255, 0.7);
+  --jp-ui-inverse-font-color3: rgba(255, 255, 255, 0.5);
+
+  /* Content Fonts
+   *
+   * Content font variables are used for typography of user generated content.
+   *
+   * The font sizing here is done assuming that the body font size of --jp-content-font-size1
+   * is applied to a parent element. When children elements, such as headings, are sized
+   * in em all things will be computed relative to that body size.
+   */
+
+  --jp-content-line-height: 1.6;
+  --jp-content-font-scale-factor: 1.2;
+  --jp-content-font-size0: 0.83333em;
+  --jp-content-font-size1: 14px; /* Base font size */
+  --jp-content-font-size2: 1.2em;
+  --jp-content-font-size3: 1.44em;
+  --jp-content-font-size4: 1.728em;
+  --jp-content-font-size5: 2.0736em;
+
+  /* This gives a magnification of about 125% in presentation mode over normal. */
+  --jp-content-presentation-font-size1: 17px;
+  --jp-content-heading-line-height: 1;
+  --jp-content-heading-margin-top: 1.2em;
+  --jp-content-heading-margin-bottom: 0.8em;
+  --jp-content-heading-font-weight: 500;
+
+  /* Defaults use Material Design specification */
+  --jp-content-font-color0: rgba(0, 0, 0, 1);
+  --jp-content-font-color1: rgba(0, 0, 0, 0.87);
+  --jp-content-font-color2: rgba(0, 0, 0, 0.54);
+  --jp-content-font-color3: rgba(0, 0, 0, 0.38);
+  --jp-content-link-color: var(--md-blue-900);
+  --jp-content-font-family: system-ui, -apple-system, blinkmacsystemfont,
+    'Segoe UI', helvetica, arial, sans-serif, 'Apple Color Emoji',
+    'Segoe UI Emoji', 'Segoe UI Symbol';
+
+  /*
+   * Code Fonts
+   *
+   * Code font variables are used for typography of code and other monospaces content.
+   */
+
+  --jp-code-font-size: 13px;
+  --jp-code-line-height: 1.3077; /* 17px for 13px base */
+  --jp-code-padding: 5px; /* 5px for 13px base, codemirror highlighting needs integer px value */
+  --jp-code-font-family-default: menlo, consolas, 'DejaVu Sans Mono', monospace;
+  --jp-code-font-family: var(--jp-code-font-family-default);
+
+  /* This gives a magnification of about 125% in presentation mode over normal. */
+  --jp-code-presentation-font-size: 16px;
+
+  /* may need to tweak cursor width if you change font size */
+  --jp-code-cursor-width0: 1.4px;
+  --jp-code-cursor-width1: 2px;
+  --jp-code-cursor-width2: 4px;
+
+  /* Layout
+   *
+   * The following are the main layout colors use in JupyterLab. In a light
+   * theme these would go from light to dark.
+   */
+
+  --jp-layout-color0: white;
+  --jp-layout-color1: white;
+  --jp-layout-color2: var(--md-grey-200);
+  --jp-layout-color3: var(--md-grey-400);
+  --jp-layout-color4: var(--md-grey-600);
+
+  /* Inverse Layout
+   *
+   * The following are the inverse layout colors use in JupyterLab. In a light
+   * theme these would go from dark to light.
+   */
+
+  --jp-inverse-layout-color0: #111;
+  --jp-inverse-layout-color1: var(--md-grey-900);
+  --jp-inverse-layout-color2: var(--md-grey-800);
+  --jp-inverse-layout-color3: var(--md-grey-700);
+  --jp-inverse-layout-color4: var(--md-grey-600);
+
+  /* Brand/accent */
+
+  --jp-brand-color0: var(--md-blue-900);
+  --jp-brand-color1: var(--md-blue-700);
+  --jp-brand-color2: var(--md-blue-300);
+  --jp-brand-color3: var(--md-blue-100);
+  --jp-brand-color4: var(--md-blue-50);
+  --jp-accent-color0: var(--md-green-900);
+  --jp-accent-color1: var(--md-green-700);
+  --jp-accent-color2: var(--md-green-300);
+  --jp-accent-color3: var(--md-green-100);
+
+  /* State colors (warn, error, success, info) */
+
+  --jp-warn-color0: var(--md-orange-900);
+  --jp-warn-color1: var(--md-orange-700);
+  --jp-warn-color2: var(--md-orange-300);
+  --jp-warn-color3: var(--md-orange-100);
+  --jp-error-color0: var(--md-red-900);
+  --jp-error-color1: var(--md-red-700);
+  --jp-error-color2: var(--md-red-300);
+  --jp-error-color3: var(--md-red-100);
+  --jp-success-color0: var(--md-green-900);
+  --jp-success-color1: var(--md-green-700);
+  --jp-success-color2: var(--md-green-300);
+  --jp-success-color3: var(--md-green-100);
+  --jp-info-color0: var(--md-cyan-900);
+  --jp-info-color1: var(--md-cyan-700);
+  --jp-info-color2: var(--md-cyan-300);
+  --jp-info-color3: var(--md-cyan-100);
+
+  /* Cell specific styles */
+
+  --jp-cell-padding: 5px;
+  --jp-cell-collapser-width: 8px;
+  --jp-cell-collapser-min-height: 20px;
+  --jp-cell-collapser-not-active-hover-opacity: 0.6;
+  --jp-cell-editor-background: var(--md-grey-100);
+  --jp-cell-editor-border-color: var(--md-grey-300);
+  --jp-cell-editor-box-shadow: inset 0 0 2px var(--md-blue-300);
+  --jp-cell-editor-active-background: var(--jp-layout-color0);
+  --jp-cell-editor-active-border-color: var(--jp-brand-color1);
+  --jp-cell-prompt-width: 64px;
+  --jp-cell-prompt-font-family: var(--jp-code-font-family-default);
+  --jp-cell-prompt-letter-spacing: 0;
+  --jp-cell-prompt-opacity: 1;
+  --jp-cell-prompt-not-active-opacity: 0.5;
+  --jp-cell-prompt-not-active-font-color: var(--md-grey-700);
+
+  /* A custom blend of MD grey and blue 600
+   * See https://meyerweb.com/eric/tools/color-blend/#546E7A:1E88E5:5:hex */
+  --jp-cell-inprompt-font-color: #307fc1;
+
+  /* A custom blend of MD grey and orange 600
+   * https://meyerweb.com/eric/tools/color-blend/#546E7A:F4511E:5:hex */
+  --jp-cell-outprompt-font-color: #bf5b3d;
+
+  /* Notebook specific styles */
+
+  --jp-notebook-padding: 10px;
+  --jp-notebook-select-background: var(--jp-layout-color1);
+  --jp-notebook-multiselected-color: var(--md-blue-50);
+
+  /* The scroll padding is calculated to fill enough space at the bottom of the
+  notebook to show one single-line cell (with appropriate padding) at the top
+  when the notebook is scrolled all the way to the bottom. We also subtract one
+  pixel so that no scrollbar appears if we have just one single-line cell in the
+  notebook. This padding is to enable a 'scroll past end' feature in a notebook.
+  */
+  --jp-notebook-scroll-padding: calc(
+    100% - var(--jp-code-font-size) * var(--jp-code-line-height) -
+      var(--jp-code-padding) - var(--jp-cell-padding) - 1px
+  );
+
+  /* Rendermime styles */
+
+  --jp-rendermime-error-background: #fdd;
+  --jp-rendermime-table-row-background: var(--md-grey-100);
+  --jp-rendermime-table-row-hover-background: var(--md-light-blue-50);
+
+  /* Dialog specific styles */
+
+  --jp-dialog-background: rgba(0, 0, 0, 0.25);
+
+  /* Console specific styles */
+
+  --jp-console-padding: 10px;
+
+  /* Toolbar specific styles */
+
+  --jp-toolbar-border-color: var(--jp-border-color1);
+  --jp-toolbar-micro-height: 8px;
+  --jp-toolbar-background: var(--jp-layout-color1);
+  --jp-toolbar-box-shadow: 0 0 2px 0 rgba(0, 0, 0, 0.24);
+  --jp-toolbar-header-margin: 4px 4px 0 4px;
+  --jp-toolbar-active-background: var(--md-grey-300);
+
+  /* Statusbar specific styles */
+
+  --jp-statusbar-height: 24px;
+
+  /* Input field styles */
+
+  --jp-input-box-shadow: inset 0 0 2px var(--md-blue-300);
+  --jp-input-active-background: var(--jp-layout-color1);
+  --jp-input-hover-background: var(--jp-layout-color1);
+  --jp-input-background: var(--md-grey-100);
+  --jp-input-border-color: var(--jp-inverse-border-color);
+  --jp-input-active-border-color: var(--jp-brand-color1);
+  --jp-input-active-box-shadow-color: rgba(19, 124, 189, 0.3);
+
+  /* General editor styles */
+
+  --jp-editor-selected-background: #d9d9d9;
+  --jp-editor-selected-focused-background: #d7d4f0;
+  --jp-editor-cursor-color: var(--jp-ui-font-color0);
+
+  /* Code mirror specific styles */
+
+  --jp-mirror-editor-keyword-color: #008000;
+  --jp-mirror-editor-atom-color: #88f;
+  --jp-mirror-editor-number-color: #080;
+  --jp-mirror-editor-def-color: #00f;
+  --jp-mirror-editor-variable-color: var(--md-grey-900);
+  --jp-mirror-editor-variable-2-color: rgb(0, 54, 109);
+  --jp-mirror-editor-variable-3-color: #085;
+  --jp-mirror-editor-punctuation-color: #05a;
+  --jp-mirror-editor-property-color: #05a;
+  --jp-mirror-editor-operator-color: #a2f;
+  --jp-mirror-editor-comment-color: #408080;
+  --jp-mirror-editor-string-color: #ba2121;
+  --jp-mirror-editor-string-2-color: #708;
+  --jp-mirror-editor-meta-color: #a2f;
+  --jp-mirror-editor-qualifier-color: #555;
+  --jp-mirror-editor-builtin-color: #008000;
+  --jp-mirror-editor-bracket-color: #997;
+  --jp-mirror-editor-tag-color: #170;
+  --jp-mirror-editor-attribute-color: #00c;
+  --jp-mirror-editor-header-color: blue;
+  --jp-mirror-editor-quote-color: #090;
+  --jp-mirror-editor-link-color: #00c;
+  --jp-mirror-editor-error-color: #f00;
+  --jp-mirror-editor-hr-color: #999;
+
+  /*
+    RTC user specific colors.
+    These colors are used for the cursor, username in the editor,
+    and the icon of the user.
+  */
+
+  --jp-collaborator-color1: #ffad8e;
+  --jp-collaborator-color2: #dac83d;
+  --jp-collaborator-color3: #72dd76;
+  --jp-collaborator-color4: #00e4d0;
+  --jp-collaborator-color5: #45d4ff;
+  --jp-collaborator-color6: #e2b1ff;
+  --jp-collaborator-color7: #ff9de6;
+
+  /* Vega extension styles */
+
+  --jp-vega-background: white;
+
+  /* Sidebar-related styles */
+
+  --jp-sidebar-min-width: 250px;
+
+  /* Search-related styles */
+
+  --jp-search-toggle-off-opacity: 0.5;
+  --jp-search-toggle-hover-opacity: 0.8;
+  --jp-search-toggle-on-opacity: 1;
+  --jp-search-selected-match-background-color: rgb(245, 200, 0);
+  --jp-search-selected-match-color: black;
+  --jp-search-unselected-match-background-color: var(
+    --jp-inverse-layout-color0
+  );
+  --jp-search-unselected-match-color: var(--jp-ui-inverse-font-color0);
+
+  /* Icon colors that work well with light or dark backgrounds */
+  --jp-icon-contrast-color0: var(--md-purple-600);
+  --jp-icon-contrast-color1: var(--md-green-600);
+  --jp-icon-contrast-color2: var(--md-pink-600);
+  --jp-icon-contrast-color3: var(--md-blue-600);
+
+  /* Button colors */
+  --jp-accept-color-normal: var(--md-blue-700);
+  --jp-accept-color-hover: var(--md-blue-800);
+  --jp-accept-color-active: var(--md-blue-900);
+  --jp-warn-color-normal: var(--md-red-700);
+  --jp-warn-color-hover: var(--md-red-800);
+  --jp-warn-color-active: var(--md-red-900);
+  --jp-reject-color-normal: var(--md-grey-600);
+  --jp-reject-color-hover: var(--md-grey-700);
+  --jp-reject-color-active: var(--md-grey-800);
+
+  /* File or activity icons and switch semantic variables */
+  --jp-jupyter-icon-color: #f37626;
+  --jp-notebook-icon-color: #f37626;
+  --jp-json-icon-color: var(--md-orange-700);
+  --jp-console-icon-background-color: var(--md-blue-700);
+  --jp-console-icon-color: white;
+  --jp-terminal-icon-background-color: var(--md-grey-800);
+  --jp-terminal-icon-color: var(--md-grey-200);
+  --jp-text-editor-icon-color: var(--md-grey-700);
+  --jp-inspector-icon-color: var(--md-grey-700);
+  --jp-switch-color: var(--md-grey-400);
+  --jp-switch-true-position-color: var(--md-orange-900);
+}
+</style>
+<style type="text/css">
+/* Force rendering true colors when outputing to pdf */
+* {
+  -webkit-print-color-adjust: exact;
+}
+
+/* Misc */
+a.anchor-link {
+  display: none;
+}
+
+/* Input area styling */
+.jp-InputArea {
+  overflow: hidden;
+}
+
+.jp-InputArea-editor {
+  overflow: hidden;
+}
+
+.cm-editor.cm-s-jupyter .highlight pre {
+/* weird, but --jp-code-padding defined to be 5px but 4px horizontal padding is hardcoded for pre.cm-line */
+  padding: var(--jp-code-padding) 4px;
+  margin: 0;
+
+  font-family: inherit;
+  font-size: inherit;
+  line-height: inherit;
+  color: inherit;
+
+}
+
+.jp-OutputArea-output pre {
+  line-height: inherit;
+  font-family: inherit;
+}
+
+.jp-RenderedText pre {
+  color: var(--jp-content-font-color1);
+  font-size: var(--jp-code-font-size);
+}
+
+/* Hiding the collapser by default */
+.jp-Collapser {
+  display: none;
+}
+
+@page {
+    margin: 0.5in; /* Margin for each printed piece of paper */
+}
+
+@media print {
+  .jp-Cell-inputWrapper,
+  .jp-Cell-outputWrapper {
+    display: block;
+  }
+}
+</style>
+<!-- Load mathjax -->
+<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/latest.js?config=TeX-AMS_CHTML-full,Safe"> </script>
+<!-- MathJax configuration -->
+<script type="text/x-mathjax-config">
+    init_mathjax = function() {
+        if (window.MathJax) {
+        // MathJax loaded
+            MathJax.Hub.Config({
+                TeX: {
+                    equationNumbers: {
+                    autoNumber: "AMS",
+                    useLabelIds: true
+                    }
+                },
+                tex2jax: {
+                    inlineMath: [ ['$','$'], ["\\(","\\)"] ],
+                    displayMath: [ ['$$','$$'], ["\\[","\\]"] ],
+                    processEscapes: true,
+                    processEnvironments: true
+                },
+                displayAlign: 'center',
+                CommonHTML: {
+                    linebreaks: {
+                    automatic: true
+                    }
+                }
+            });
+
+            MathJax.Hub.Queue(["Typeset", MathJax.Hub]);
+        }
+    }
+    init_mathjax();
+    </script>
+<!-- End of mathjax configuration --><script type="module">
+  document.addEventListener("DOMContentLoaded", async () => {
+    const diagrams = document.querySelectorAll(".jp-Mermaid > pre.mermaid");
+    // do not load mermaidjs if not needed
+    if (!diagrams.length) {
+      return;
+    }
+    const mermaid = (await import("https://cdnjs.cloudflare.com/ajax/libs/mermaid/10.6.0/mermaid.esm.min.mjs")).default;
+    const parser = new DOMParser();
+
+    mermaid.initialize({
+      maxTextSize: 100000,
+      startOnLoad: false,
+      fontFamily: window
+        .getComputedStyle(document.body)
+        .getPropertyValue("--jp-ui-font-family"),
+      theme: document.querySelector("body[data-jp-theme-light='true']")
+        ? "default"
+        : "dark",
+    });
+
+    let _nextMermaidId = 0;
+
+    function makeMermaidImage(svg) {
+      const img = document.createElement("img");
+      const doc = parser.parseFromString(svg, "image/svg+xml");
+      const svgEl = doc.querySelector("svg");
+      const { maxWidth } = svgEl?.style || {};
+      const firstTitle = doc.querySelector("title");
+      const firstDesc = doc.querySelector("desc");
+
+      img.setAttribute("src", `data:image/svg+xml,${encodeURIComponent(svg)}`);
+      if (maxWidth) {
+        img.width = parseInt(maxWidth);
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+<style>
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+</style>
+<!-- End of mermaid configuration --></head>
+<body class="jp-Notebook" data-jp-theme-light="true" data-jp-theme-name="JupyterLab Light">
+<main>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h1 id="Adaptive-Search:-Changing-search_range-on-the-Fly">Adaptive Search: Changing <code>search_range</code> on the Fly<a class="anchor-link" href="#Adaptive-Search:-Changing-search_range-on-the-Fly">¶</a></h1><p>As discussed in the tutorial on "Advanced Linking," a basic limitation of the tracking algorithm involves the selection of <code>search_range</code>. If it is too small, many valid trajectories will be unlinked or linked incorrectly. If it is too large, <code>trackpy</code> will become overwhelmed with candidate features, and will either be bogged down by those possibilities or will give up entirely, raising a <code>SubnetOversizeException</code>.</p>
+<p>The tutorial on "Advanced Linking" identifies some ways to ease this dilemma, including prediction, which lets <code>trackpy</code> select candidate features more intelligently. Still, "perfect" tracking is often computationally impossible. One is then faced with the task of finding a <code>search_range</code> that allows linking to finish in a reasonable amount of time while merely <em>minimizing</em> linking errors. The usual method for optimizing <code>search_range</code> is to repeatedly adjust it and run the linker, searching for the largest value that does not halt or intolerably slow the algorithm. This search can be time-consuming and frustrating, especially for long movies. Perhaps worse, one must choose the <code>search_range</code> for all particles in all frames, even if the failure is being caused by a single large subnet spanning just two successive frames.</p>
+<p>This difficulty is addressed by the "adaptive search" functionality that is built into <code>trackpy</code> starting with version 0.3. Instead of specifying a single <code>search_range</code> for all particles in all frames, one gives <code>trackpy</code> a <em>maximum</em> value. <code>trackpy</code> then automatically reduces <code>search_range</code> <em>only</em> when and where it encounters difficulty.</p>
+<h2 id="How-it-works">How it works<a class="anchor-link" href="#How-it-works">¶</a></h2><p>When it encounters a large subnet, the algorithm repeatedly attempts to link <em>only those particles</em>, using smaller and smaller values of <code>search_range</code>. As <code>search_range</code> is reduced, some of the possible track assignments are eliminated from consideration. The original large subnet is thereby broken up into smaller pieces, some of which may be small enough to solve directly (by considering all possible track assignments). This process continues until no oversize subnet(s) remain, or a minimum <code>search_range</code> is reached. In the latter case, a <code>SubnetOversizeException</code> is raised and linking is aborted.</p>
+<h2 id="How-to-use-it">How to use it<a class="anchor-link" href="#How-to-use-it">¶</a></h2><p>To any of the <code>link</code> family of functions, supply the <code>search_range</code> argument as usual, along with an <code>adaptive_stop</code> argument, and optionally an <code>adaptive_step</code>. When <code>trackpy</code> encounters a large subnet, it will locally reduce <code>search_range</code> by multiplying it by <code>adaptive_step</code>. (<code>adaptive_step</code> must be greater than 0 and less than 1; the default is 0.95.) This multiplication will be applied repeatedly if necessary. <code>adaptive_stop</code> (note the single-letter difference!) tells <code>trackpy</code> when to give up. When <code>search_range</code> has become less than or equal to <code>adaptive_stop</code>, <code>trackpy</code> aborts linking by raising a <code>SubnetOversizeException</code>.</p>
+<p>For example, at the high end, you might consider 10.0 to be a generous but reasonable <code>search_range</code> for your movie. At the low end, you feel that a <code>search_range</code> of 2.0 — the radius of one of your particles — is unreasonably small and would be a sure sign of trouble. Finally, you decide that <code>search_range</code> should be reduced carefully — just 5% at a time. The values you should specify are then</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [1]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="p">{</span><span class="s1">'search_range'</span><span class="p">:</span> <span class="mf">10.0</span><span class="p">,</span>
+ <span class="s1">'adaptive_stop'</span><span class="p">:</span> <span class="mf">2.0</span><span class="p">,</span>
+ <span class="s1">'adaptive_step'</span><span class="p">:</span> <span class="mf">0.95</span><span class="p">}</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child jp-OutputArea-executeResult">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[1]:</div>
+<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
+<pre>{'adaptive_step': 0.95, 'adaptive_stop': 2.0, 'search_range': 10.0}</pre>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h3 id="The-maximum-subnet-size,-and-a-word-of-caution">The maximum subnet size, and a word of caution<a class="anchor-link" href="#The-maximum-subnet-size,-and-a-word-of-caution">¶</a></h3><p>There is one more parameter that you <em>may</em> wish to adjust, but the reason is a little technical.</p>
+<p>Under normal circumstances, if you have a movie that does <em>not</em> cry out for adaptive search, large subnets will be rare, and to get the most accurate linking you will want the computer to solve them all, even ones that take a few minutes. This favors a default maximum subnet size, stored in <code>trackpy.linking.Linker.MAX_SUB_NET_SIZE</code>, that is rather generous.</p>
+<p>This situation changes when adaptive search is enabled. As it reduces <code>search_range</code>, <code>trackpy</code> is searching for the largest computable subnet(s) embedded within the original oversize, non-computable subnet. If you are lazy (and who isn't?), you will want to choose a generous (but reasonable) maximum <code>search_range</code> and let <code>trackpy</code> do the hard work of optimizing it downward. The result is that <code>trackpy</code> will frequently be solving subnets that are just below the maximum size. This favors a <em>small</em> maximum size, corresponding to a subnet that can be solved in well under a second.</p>
+<p>Because a different behavior is desired in each case, there is a different default subnet limit for adaptive search, stored in <code>trackpy.linking.Linker.MAX_SUB_NET_SIZE_ADAPTIVE</code>. As with the regular default, you may wish to adjust this value depending on your patience and the speed of your computer.</p>
+<p>The default values in the current version of <code>trackpy</code> are</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [2]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">trackpy</span>
+<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="c1"># change the following to %matplotlib notebook for interactive plotting</span>
+<span class="o">%</span><span class="k">matplotlib</span> inline
+<span class="kn">from</span> <span class="nn">matplotlib.pyplot</span> <span class="kn">import</span> <span class="o">*</span>   <span class="c1"># not recommended usage, but we use it for brevity here</span>
+
+<span class="n">trackpy</span><span class="o">.</span><span class="n">linking</span><span class="o">.</span><span class="n">Linker</span><span class="o">.</span><span class="n">MAX_SUB_NET_SIZE</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child jp-OutputArea-executeResult">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[2]:</div>
+<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
+<pre>30</pre>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [3]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">trackpy</span><span class="o">.</span><span class="n">linking</span><span class="o">.</span><span class="n">Linker</span><span class="o">.</span><span class="n">MAX_SUB_NET_SIZE_ADAPTIVE</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child jp-OutputArea-executeResult">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[3]:</div>
+<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
+<pre>15</pre>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>Since subnet computation time scales very roughly as $N!$, this is actually a <em>huge</em> difference in speed:</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [4]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">math</span>
+<span class="nb">float</span><span class="p">(</span><span class="n">math</span><span class="o">.</span><span class="n">factorial</span><span class="p">(</span><span class="n">trackpy</span><span class="o">.</span><span class="n">linking</span><span class="o">.</span><span class="n">Linker</span><span class="o">.</span><span class="n">MAX_SUB_NET_SIZE</span><span class="p">)</span> <span class="o">/</span> \
+    <span class="n">math</span><span class="o">.</span><span class="n">factorial</span><span class="p">(</span><span class="n">trackpy</span><span class="o">.</span><span class="n">linking</span><span class="o">.</span><span class="n">Linker</span><span class="o">.</span><span class="n">MAX_SUB_NET_SIZE_ADAPTIVE</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child jp-OutputArea-executeResult">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[4]:</div>
+<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
+<pre>2.0284320493172736e+20</pre>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>The difference in maximal subnet size is the primary drawback of adaptive search. Solving a large subnet may be slow, but at least you are getting the best possible set of trajectories, ones that minimize the total displacement over all particles. (For details, see the original paper by Crocker &amp; Grier, referenced in the introduction to the <code>trackpy</code> documentation.) Depending on the details of your movie, if you insist on solving smaller subnets you may instead get results that are less than fully correct.</p>
+<p><strong>In other words,</strong> adaptive search can abolish a lot of headaches, tedium, and gut-wrenching decisions, but it cannot magically clean up problematic data, and it cannot abolish the possibility of shooting yourself in the foot. Proceed accordingly.</p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="Example">Example<a class="anchor-link" href="#Example">¶</a></h2><p>This is a highly contrived example, but it illustrates how adaptive search can greatly ease the problem of choosing <code>search_range</code>.</p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>As example data, we define a grid of points that has contracted in the second frame. It is visualized below, using a function we define.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [5]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">contracting_grid</span><span class="p">(</span><span class="n">scale</span><span class="o">=</span><span class="mf">0.95</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">"""Two frames with a grid of 441 points.</span>
+
+<span class="sd">    In the second frame, the points contract, so that the outermost set</span>
+<span class="sd">    coincides with the second-outermost set in the previous frame.</span>
+
+<span class="sd">    This is a way to challenge (and/or stump) a subnet solver.</span>
+<span class="sd">    """</span>
+    <span class="n">pts0x</span><span class="p">,</span> <span class="n">pts0y</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mgrid</span><span class="p">[</span><span class="o">-</span><span class="mi">10</span><span class="p">:</span><span class="mi">11</span><span class="p">,</span><span class="o">-</span><span class="mi">10</span><span class="p">:</span><span class="mi">11</span><span class="p">]</span>
+    <span class="n">pts0</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="nb">dict</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="n">pts0x</span><span class="o">.</span><span class="n">flatten</span><span class="p">(),</span> <span class="n">y</span><span class="o">=</span><span class="n">pts0y</span><span class="o">.</span><span class="n">flatten</span><span class="p">(),</span>
+                             <span class="n">frame</span><span class="o">=</span><span class="mi">0</span><span class="p">))</span>
+    <span class="n">pts1</span> <span class="o">=</span> <span class="n">pts0</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
+    <span class="n">pts1</span><span class="o">.</span><span class="n">frame</span> <span class="o">=</span> <span class="mi">1</span>
+    <span class="n">pts1</span><span class="o">.</span><span class="n">x</span> <span class="o">=</span> <span class="n">pts1</span><span class="o">.</span><span class="n">x</span> <span class="o">*</span> <span class="n">scale</span>
+    <span class="n">pts1</span><span class="o">.</span><span class="n">y</span> <span class="o">=</span> <span class="n">pts1</span><span class="o">.</span><span class="n">y</span> <span class="o">*</span> <span class="n">scale</span>
+    <span class="k">return</span> <span class="n">pd</span><span class="o">.</span><span class="n">concat</span><span class="p">([</span><span class="n">pts0</span><span class="p">,</span> <span class="n">pts1</span><span class="p">],</span> <span class="n">ignore_index</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+<span class="n">cg</span> <span class="o">=</span> <span class="n">contracting_grid</span><span class="p">()</span>
+<span class="n">cg_original</span> <span class="o">=</span> <span class="n">cg</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [6]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">trshow</span><span class="p">(</span><span class="n">tr</span><span class="p">,</span> <span class="n">first_style</span><span class="o">=</span><span class="s1">'bo'</span><span class="p">,</span> <span class="n">last_style</span><span class="o">=</span><span class="s1">'g.'</span><span class="p">,</span> <span class="n">style</span><span class="o">=</span><span class="s1">'b.'</span><span class="p">):</span>
+    <span class="n">frames</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">tr</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s1">'frame'</span><span class="p">))</span>
+    <span class="n">nframes</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">frames</span><span class="p">)</span>
+    <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="p">(</span><span class="n">fnum</span><span class="p">,</span> <span class="n">pts</span><span class="p">)</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">frames</span><span class="p">):</span>
+        <span class="k">if</span> <span class="n">i</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
+            <span class="n">sty</span> <span class="o">=</span> <span class="n">first_style</span>
+        <span class="k">elif</span> <span class="n">i</span> <span class="o">==</span> <span class="n">nframes</span> <span class="o">-</span> <span class="mi">1</span><span class="p">:</span>
+            <span class="n">sty</span> <span class="o">=</span> <span class="n">last_style</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">sty</span> <span class="o">=</span> <span class="n">style</span>
+        <span class="n">plot</span><span class="p">(</span><span class="n">pts</span><span class="o">.</span><span class="n">x</span><span class="p">,</span> <span class="n">pts</span><span class="o">.</span><span class="n">y</span><span class="p">,</span> <span class="n">sty</span><span class="p">)</span>
+    <span class="k">if</span> <span class="s1">'particle'</span> <span class="ow">in</span> <span class="n">tr</span><span class="o">.</span><span class="n">columns</span><span class="p">:</span>
+        <span class="k">for</span> <span class="n">pid</span> <span class="ow">in</span> <span class="n">tr</span><span class="o">.</span><span class="n">particle</span><span class="o">.</span><span class="n">unique</span><span class="p">():</span>
+            <span class="n">plot</span><span class="p">(</span><span class="n">tr</span><span class="o">.</span><span class="n">x</span><span class="p">[</span><span class="n">tr</span><span class="o">.</span><span class="n">particle</span> <span class="o">==</span> <span class="n">pid</span><span class="p">],</span> 
+                 <span class="n">tr</span><span class="o">.</span><span class="n">y</span><span class="p">[</span><span class="n">tr</span><span class="o">.</span><span class="n">particle</span> <span class="o">==</span> <span class="n">pid</span><span class="p">],</span> <span class="s1">'r-'</span><span class="p">)</span>
+    <span class="n">axis</span><span class="p">(</span><span class="s1">'equal'</span><span class="p">);</span> <span class="n">ylim</span><span class="p">(</span><span class="o">-</span><span class="mi">11</span><span class="p">,</span> <span class="mi">11</span><span class="p">)</span>
+    <span class="n">xlabel</span><span class="p">(</span><span class="s1">'x'</span><span class="p">)</span>
+    <span class="n">ylabel</span><span class="p">(</span><span class="s1">'y'</span><span class="p">)</span>
+
+<span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">6</span><span class="p">,</span> <span class="mi">6</span><span class="p">))</span>
+<span class="n">trshow</span><span class="p">(</span><span class="n">cg_original</span><span class="p">)</span>
+</pre></div>
+</div>
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+"/>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>In the preceding plot, the large blue dots are the first frame, and the small green dots are the second frame.</p>
+<h3 id="Linking-without-adaptive-search">Linking without adaptive search<a class="anchor-link" href="#Linking-without-adaptive-search">¶</a></h3><p>Next, we perform linking with a "small" <code>search_range</code> of 0.65. The computation finishes quickly but fails to link  the particles with the largest displacements, in the corners.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [7]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="o">%%time</span>
+<span class="n">tracks_toosmall</span> <span class="o">=</span> <span class="n">trackpy</span><span class="o">.</span><span class="n">link_df</span><span class="p">(</span><span class="n">cg</span><span class="p">,</span> <span class="mf">0.65</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>Frame 1: 441 trajectories present
+CPU times: user 271 ms, sys: 83 ms, total: 354 ms
+Wall time: 252 ms
+</pre>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [8]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">6</span><span class="p">,</span> <span class="mi">6</span><span class="p">))</span>
+<span class="n">trshow</span><span class="p">(</span><span class="n">tracks_toosmall</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
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+</div>
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+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedImage jp-OutputArea-output" tabindex="0">
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+gg==
+"/>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>Seeing this problem, we increase <code>search_range</code> to 0.8. This computation also finishes quickly — by raising a <code>SubnetOversizeException</code>!</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [9]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="o">%%time</span>
+<span class="k">try</span><span class="p">:</span>
+    <span class="n">tracks_toobig</span> <span class="o">=</span> <span class="n">trackpy</span><span class="o">.</span><span class="n">link_df</span><span class="p">(</span><span class="n">cg</span><span class="p">,</span> <span class="mf">0.8</span><span class="p">)</span>
+<span class="k">except</span> <span class="n">trackpy</span><span class="o">.</span><span class="n">SubnetOversizeException</span><span class="p">:</span>
+    <span class="nb">print</span><span class="p">(</span><span class="s1">'Failed!!'</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>Frame 0: 441 trajectories present
+Failed!!
+CPU times: user 16.2 ms, sys: 24.7 ms, total: 40.9 ms
+Wall time: 14.8 ms
+</pre>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>By trial and error (or some trigonometry), we <em>can</em> find a value of <code>search_range</code> that works for this movie. But it requires more than a little patience:</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [10]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="o">%%time</span>
+<span class="c1"># Warning: takes several minutes!</span>
+<span class="n">tracks_regular</span> <span class="o">=</span> <span class="n">trackpy</span><span class="o">.</span><span class="n">link_df</span><span class="p">(</span><span class="n">cg</span><span class="p">,</span> <span class="mf">0.75</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>Frame 1: 441 trajectories present
+CPU times: user 10min 39s, sys: 780 ms, total: 10min 40s
+Wall time: 10min 39s
+</pre>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [11]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">6</span><span class="p">,</span> <span class="mi">6</span><span class="p">))</span>
+<span class="n">trshow</span><span class="p">(</span><span class="n">tracks_regular</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
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+"/>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>As printed above, it took several minutes to track just 441 particles in 2 frames. However, the result is correct, as shown by the plot, and by checking the duration of all the computed tracks:</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [12]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">tracks_regular</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s1">'particle'</span><span class="p">)</span><span class="o">.</span><span class="n">particle</span><span class="o">.</span><span class="n">count</span><span class="p">()</span><span class="o">.</span><span class="n">value_counts</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child jp-OutputArea-executeResult">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[12]:</div>
+<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
+<pre>2    441
+Name: particle, dtype: int64</pre>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>This result indicates that there are 441 tracks that last for 2 frames, and no tracks that last for 1 frame, which would represent unlinked particles. So linking was successful, but at great cost.</p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h3 id="Linking-with-adaptive-search">Linking with adaptive search<a class="anchor-link" href="#Linking-with-adaptive-search">¶</a></h3><p>Since we know this movie is tricky, we choose a very fine <code>adaptive_step</code> — just 1% per iteration. But we can choose an irresponsibly large <code>search_range</code> of 0.95 — almost the spacing between particles!</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [13]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="o">%%time</span>
+<span class="n">tracks_adaptive</span> <span class="o">=</span> <span class="n">trackpy</span><span class="o">.</span><span class="n">link_df</span><span class="p">(</span><span class="n">cg</span><span class="p">,</span> <span class="mf">0.95</span><span class="p">,</span> <span class="n">adaptive_stop</span><span class="o">=</span><span class="mf">0.56</span><span class="p">,</span> <span class="n">adaptive_step</span><span class="o">=</span><span class="mf">0.99</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>Frame 1: 441 trajectories present
+CPU times: user 133 ms, sys: 42 ms, total: 175 ms
+Wall time: 122 ms
+</pre>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>With adaptive search enabled, we can obtain the correct results more than an order of magnitude faster than we could with the single value of <code>search_range</code> we found by hand. Almost as importantly, this computation was not preceded by rounds of trial and error to select <code>search_range</code>.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [14]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">6</span><span class="p">,</span> <span class="mi">6</span><span class="p">))</span>
+<span class="n">trshow</span><span class="p">(</span><span class="n">tracks_adaptive</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
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+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
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+"/>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>Both the plot and our check of track lengths show that the result is correct.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [15]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">tracks_adaptive</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s1">'particle'</span><span class="p">)</span><span class="o">.</span><span class="n">particle</span><span class="o">.</span><span class="n">count</span><span class="p">()</span><span class="o">.</span><span class="n">value_counts</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child jp-OutputArea-executeResult">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[15]:</div>
+<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
+<pre>2    441
+Name: particle, dtype: int64</pre>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h3 id="A-final-note">A final note<a class="anchor-link" href="#A-final-note">¶</a></h3><p>As discussed above, adaptive search is not magic, and it may create the false impression that bad data are trackable. Until you are confident that you're using adaptive search properly, it's a good idea to pay attention to the output to make sure that the extra tracks you're getting are actually valid.</p>
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+
+
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+      
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+  <div class="container">
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+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/tutorial/adaptive-search.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
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diff --git a/trackpy/v0.6.2/tutorial/brightfield.html b/trackpy/v0.6.2/tutorial/brightfield.html
new file mode 100644
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+<li class="toctree-l1"><a class="reference internal" href="uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="adaptive-search.html">Adaptive Linking</a></li>
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+<li class="toctree-l1 current"><a class="current reference internal" href="#">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
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+<!DOCTYPE html>
+
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+<head><meta charset="utf-8"/>
+<meta content="width=device-width, initial-scale=1.0" name="viewport"/>
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+<style type="text/css">
+    pre { line-height: 125%; }
+td.linenos .normal { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }
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+span.linenos.special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
+.highlight .hll { background-color: var(--jp-cell-editor-active-background) }
+.highlight { background: var(--jp-cell-editor-background); color: var(--jp-mirror-editor-variable-color) }
+.highlight .c { color: var(--jp-mirror-editor-comment-color); font-style: italic } /* Comment */
+.highlight .err { color: var(--jp-mirror-editor-error-color) } /* Error */
+.highlight .k { color: var(--jp-mirror-editor-keyword-color); font-weight: bold } /* Keyword */
+.highlight .o { color: var(--jp-mirror-editor-operator-color); font-weight: bold } /* Operator */
+.highlight .p { color: var(--jp-mirror-editor-punctuation-color) } /* Punctuation */
+.highlight .ch { color: var(--jp-mirror-editor-comment-color); font-style: italic } /* Comment.Hashbang */
+.highlight .cm { color: var(--jp-mirror-editor-comment-color); font-style: italic } /* Comment.Multiline */
+.highlight .cp { color: var(--jp-mirror-editor-comment-color); font-style: italic } /* Comment.Preproc */
+.highlight .cpf { color: var(--jp-mirror-editor-comment-color); font-style: italic } /* Comment.PreprocFile */
+.highlight .c1 { color: var(--jp-mirror-editor-comment-color); font-style: italic } /* Comment.Single */
+.highlight .cs { color: var(--jp-mirror-editor-comment-color); font-style: italic } /* Comment.Special */
+.highlight .kc { color: var(--jp-mirror-editor-keyword-color); font-weight: bold } /* Keyword.Constant */
+.highlight .kd { color: var(--jp-mirror-editor-keyword-color); font-weight: bold } /* Keyword.Declaration */
+.highlight .kn { color: var(--jp-mirror-editor-keyword-color); font-weight: bold } /* Keyword.Namespace */
+.highlight .kp { color: var(--jp-mirror-editor-keyword-color); font-weight: bold } /* Keyword.Pseudo */
+.highlight .kr { color: var(--jp-mirror-editor-keyword-color); font-weight: bold } /* Keyword.Reserved */
+.highlight .kt { color: var(--jp-mirror-editor-keyword-color); font-weight: bold } /* Keyword.Type */
+.highlight .m { color: var(--jp-mirror-editor-number-color) } /* Literal.Number */
+.highlight .s { color: var(--jp-mirror-editor-string-color) } /* Literal.String */
+.highlight .ow { color: var(--jp-mirror-editor-operator-color); font-weight: bold } /* Operator.Word */
+.highlight .pm { color: var(--jp-mirror-editor-punctuation-color) } /* Punctuation.Marker */
+.highlight .w { color: var(--jp-mirror-editor-variable-color) } /* Text.Whitespace */
+.highlight .mb { color: var(--jp-mirror-editor-number-color) } /* Literal.Number.Bin */
+.highlight .mf { color: var(--jp-mirror-editor-number-color) } /* Literal.Number.Float */
+.highlight .mh { color: var(--jp-mirror-editor-number-color) } /* Literal.Number.Hex */
+.highlight .mi { color: var(--jp-mirror-editor-number-color) } /* Literal.Number.Integer */
+.highlight .mo { color: var(--jp-mirror-editor-number-color) } /* Literal.Number.Oct */
+.highlight .sa { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Affix */
+.highlight .sb { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Backtick */
+.highlight .sc { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Char */
+.highlight .dl { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Delimiter */
+.highlight .sd { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Doc */
+.highlight .s2 { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Double */
+.highlight .se { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Escape */
+.highlight .sh { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Heredoc */
+.highlight .si { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Interpol */
+.highlight .sx { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Other */
+.highlight .sr { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Regex */
+.highlight .s1 { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Single */
+.highlight .ss { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Symbol */
+.highlight .il { color: var(--jp-mirror-editor-number-color) } /* Literal.Number.Integer.Long */
+  </style>
+<style type="text/css">
+    
+.rendered_html ol {list-style:decimal; margin: 1em 2em;}
+
+/*
+div.cell {
+    width: 105ex;
+}
+*/
+
+div.text_cell_render {
+    font-family: "Palatino", serif;
+    line-height: 120%;
+}
+
+div.prompt {
+    font-family: "Consolas", monospace;
+}
+code, pre {
+    font-family: "Consolas", monospace;
+}
+
+div.CodeMirror { /* code font */
+    font-family: "Consolas", monospace;
+    font-size: 10pt;
+}
+
+/* header colours and fonts */
+h1 { color: #444; }
+h2 { color: #444; }
+h3 { color: #444; font-style: italic; font-weight: normal}
+
+
+
+  </style>
+<style type="text/css">
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*
+ * Mozilla scrollbar styling
+ */
+
+/* use standard opaque scrollbars for most nodes */
+[data-jp-theme-scrollbars='true'] {
+  scrollbar-color: rgb(var(--jp-scrollbar-thumb-color))
+    var(--jp-scrollbar-background-color);
+}
+
+/* for code nodes, use a transparent style of scrollbar. These selectors
+ * will match lower in the tree, and so will override the above */
+[data-jp-theme-scrollbars='true'] .CodeMirror-hscrollbar,
+[data-jp-theme-scrollbars='true'] .CodeMirror-vscrollbar {
+  scrollbar-color: rgba(var(--jp-scrollbar-thumb-color), 0.5) transparent;
+}
+
+/* tiny scrollbar */
+
+.jp-scrollbar-tiny {
+  scrollbar-color: rgba(var(--jp-scrollbar-thumb-color), 0.5) transparent;
+  scrollbar-width: thin;
+}
+
+/* tiny scrollbar */
+
+.jp-scrollbar-tiny::-webkit-scrollbar,
+.jp-scrollbar-tiny::-webkit-scrollbar-corner {
+  background-color: transparent;
+  height: 4px;
+  width: 4px;
+}
+
+.jp-scrollbar-tiny::-webkit-scrollbar-thumb {
+  background: rgba(var(--jp-scrollbar-thumb-color), 0.5);
+}
+
+.jp-scrollbar-tiny::-webkit-scrollbar-track:horizontal {
+  border-left: 0 solid transparent;
+  border-right: 0 solid transparent;
+}
+
+.jp-scrollbar-tiny::-webkit-scrollbar-track:vertical {
+  border-top: 0 solid transparent;
+  border-bottom: 0 solid transparent;
+}
+
+/*
+ * Lumino
+ */
+
+.lm-ScrollBar[data-orientation='horizontal'] {
+  min-height: 16px;
+  max-height: 16px;
+  min-width: 45px;
+  border-top: 1px solid #a0a0a0;
+}
+
+.lm-ScrollBar[data-orientation='vertical'] {
+  min-width: 16px;
+  max-width: 16px;
+  min-height: 45px;
+  border-left: 1px solid #a0a0a0;
+}
+
+.lm-ScrollBar-button {
+  background-color: #f0f0f0;
+  background-position: center center;
+  min-height: 15px;
+  max-height: 15px;
+  min-width: 15px;
+  max-width: 15px;
+}
+
+.lm-ScrollBar-button:hover {
+  background-color: #dadada;
+}
+
+.lm-ScrollBar-button.lm-mod-active {
+  background-color: #cdcdcd;
+}
+
+.lm-ScrollBar-track {
+  background: #f0f0f0;
+}
+
+.lm-ScrollBar-thumb {
+  background: #cdcdcd;
+}
+
+.lm-ScrollBar-thumb:hover {
+  background: #bababa;
+}
+
+.lm-ScrollBar-thumb.lm-mod-active {
+  background: #a0a0a0;
+}
+
+.lm-ScrollBar[data-orientation='horizontal'] .lm-ScrollBar-thumb {
+  height: 100%;
+  min-width: 15px;
+  border-left: 1px solid #a0a0a0;
+  border-right: 1px solid #a0a0a0;
+}
+
+.lm-ScrollBar[data-orientation='vertical'] .lm-ScrollBar-thumb {
+  width: 100%;
+  min-height: 15px;
+  border-top: 1px solid #a0a0a0;
+  border-bottom: 1px solid #a0a0a0;
+}
+
+.lm-ScrollBar[data-orientation='horizontal']
+  .lm-ScrollBar-button[data-action='decrement'] {
+  background-image: var(--jp-icon-caret-left);
+  background-size: 17px;
+}
+
+.lm-ScrollBar[data-orientation='horizontal']
+  .lm-ScrollBar-button[data-action='increment'] {
+  background-image: var(--jp-icon-caret-right);
+  background-size: 17px;
+}
+
+.lm-ScrollBar[data-orientation='vertical']
+  .lm-ScrollBar-button[data-action='decrement'] {
+  background-image: var(--jp-icon-caret-up);
+  background-size: 17px;
+}
+
+.lm-ScrollBar[data-orientation='vertical']
+  .lm-ScrollBar-button[data-action='increment'] {
+  background-image: var(--jp-icon-caret-down);
+  background-size: 17px;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-Widget {
+  box-sizing: border-box;
+  position: relative;
+  overflow: hidden;
+}
+
+.lm-Widget.lm-mod-hidden {
+  display: none !important;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.lm-AccordionPanel[data-orientation='horizontal'] > .lm-AccordionPanel-title {
+  /* Title is rotated for horizontal accordion panel using CSS */
+  display: block;
+  transform-origin: top left;
+  transform: rotate(-90deg) translate(-100%);
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette {
+  display: flex;
+  flex-direction: column;
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.lm-CommandPalette-search {
+  flex: 0 0 auto;
+}
+
+.lm-CommandPalette-content {
+  flex: 1 1 auto;
+  margin: 0;
+  padding: 0;
+  min-height: 0;
+  overflow: auto;
+  list-style-type: none;
+}
+
+.lm-CommandPalette-header {
+  overflow: hidden;
+  white-space: nowrap;
+  text-overflow: ellipsis;
+}
+
+.lm-CommandPalette-item {
+  display: flex;
+  flex-direction: row;
+}
+
+.lm-CommandPalette-itemIcon {
+  flex: 0 0 auto;
+}
+
+.lm-CommandPalette-itemContent {
+  flex: 1 1 auto;
+  overflow: hidden;
+}
+
+.lm-CommandPalette-itemShortcut {
+  flex: 0 0 auto;
+}
+
+.lm-CommandPalette-itemLabel {
+  overflow: hidden;
+  white-space: nowrap;
+  text-overflow: ellipsis;
+}
+
+.lm-close-icon {
+  border: 1px solid transparent;
+  background-color: transparent;
+  position: absolute;
+  z-index: 1;
+  right: 3%;
+  top: 0;
+  bottom: 0;
+  margin: auto;
+  padding: 7px 0;
+  display: none;
+  vertical-align: middle;
+  outline: 0;
+  cursor: pointer;
+}
+.lm-close-icon:after {
+  content: 'X';
+  display: block;
+  width: 15px;
+  height: 15px;
+  text-align: center;
+  color: #000;
+  font-weight: normal;
+  font-size: 12px;
+  cursor: pointer;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-DockPanel {
+  z-index: 0;
+}
+
+.lm-DockPanel-widget {
+  z-index: 0;
+}
+
+.lm-DockPanel-tabBar {
+  z-index: 1;
+}
+
+.lm-DockPanel-handle {
+  z-index: 2;
+}
+
+.lm-DockPanel-handle.lm-mod-hidden {
+  display: none !important;
+}
+
+.lm-DockPanel-handle:after {
+  position: absolute;
+  top: 0;
+  left: 0;
+  width: 100%;
+  height: 100%;
+  content: '';
+}
+
+.lm-DockPanel-handle[data-orientation='horizontal'] {
+  cursor: ew-resize;
+}
+
+.lm-DockPanel-handle[data-orientation='vertical'] {
+  cursor: ns-resize;
+}
+
+.lm-DockPanel-handle[data-orientation='horizontal']:after {
+  left: 50%;
+  min-width: 8px;
+  transform: translateX(-50%);
+}
+
+.lm-DockPanel-handle[data-orientation='vertical']:after {
+  top: 50%;
+  min-height: 8px;
+  transform: translateY(-50%);
+}
+
+.lm-DockPanel-overlay {
+  z-index: 3;
+  box-sizing: border-box;
+  pointer-events: none;
+}
+
+.lm-DockPanel-overlay.lm-mod-hidden {
+  display: none !important;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-Menu {
+  z-index: 10000;
+  position: absolute;
+  white-space: nowrap;
+  overflow-x: hidden;
+  overflow-y: auto;
+  outline: none;
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.lm-Menu-content {
+  margin: 0;
+  padding: 0;
+  display: table;
+  list-style-type: none;
+}
+
+.lm-Menu-item {
+  display: table-row;
+}
+
+.lm-Menu-item.lm-mod-hidden,
+.lm-Menu-item.lm-mod-collapsed {
+  display: none !important;
+}
+
+.lm-Menu-itemIcon,
+.lm-Menu-itemSubmenuIcon {
+  display: table-cell;
+  text-align: center;
+}
+
+.lm-Menu-itemLabel {
+  display: table-cell;
+  text-align: left;
+}
+
+.lm-Menu-itemShortcut {
+  display: table-cell;
+  text-align: right;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-MenuBar {
+  outline: none;
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.lm-MenuBar-content {
+  margin: 0;
+  padding: 0;
+  display: flex;
+  flex-direction: row;
+  list-style-type: none;
+}
+
+.lm-MenuBar-item {
+  box-sizing: border-box;
+}
+
+.lm-MenuBar-itemIcon,
+.lm-MenuBar-itemLabel {
+  display: inline-block;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-ScrollBar {
+  display: flex;
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.lm-ScrollBar[data-orientation='horizontal'] {
+  flex-direction: row;
+}
+
+.lm-ScrollBar[data-orientation='vertical'] {
+  flex-direction: column;
+}
+
+.lm-ScrollBar-button {
+  box-sizing: border-box;
+  flex: 0 0 auto;
+}
+
+.lm-ScrollBar-track {
+  box-sizing: border-box;
+  position: relative;
+  overflow: hidden;
+  flex: 1 1 auto;
+}
+
+.lm-ScrollBar-thumb {
+  box-sizing: border-box;
+  position: absolute;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-SplitPanel-child {
+  z-index: 0;
+}
+
+.lm-SplitPanel-handle {
+  z-index: 1;
+}
+
+.lm-SplitPanel-handle.lm-mod-hidden {
+  display: none !important;
+}
+
+.lm-SplitPanel-handle:after {
+  position: absolute;
+  top: 0;
+  left: 0;
+  width: 100%;
+  height: 100%;
+  content: '';
+}
+
+.lm-SplitPanel[data-orientation='horizontal'] > .lm-SplitPanel-handle {
+  cursor: ew-resize;
+}
+
+.lm-SplitPanel[data-orientation='vertical'] > .lm-SplitPanel-handle {
+  cursor: ns-resize;
+}
+
+.lm-SplitPanel[data-orientation='horizontal'] > .lm-SplitPanel-handle:after {
+  left: 50%;
+  min-width: 8px;
+  transform: translateX(-50%);
+}
+
+.lm-SplitPanel[data-orientation='vertical'] > .lm-SplitPanel-handle:after {
+  top: 50%;
+  min-height: 8px;
+  transform: translateY(-50%);
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-TabBar {
+  display: flex;
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.lm-TabBar[data-orientation='horizontal'] {
+  flex-direction: row;
+  align-items: flex-end;
+}
+
+.lm-TabBar[data-orientation='vertical'] {
+  flex-direction: column;
+  align-items: flex-end;
+}
+
+.lm-TabBar-content {
+  margin: 0;
+  padding: 0;
+  display: flex;
+  flex: 1 1 auto;
+  list-style-type: none;
+}
+
+.lm-TabBar[data-orientation='horizontal'] > .lm-TabBar-content {
+  flex-direction: row;
+}
+
+.lm-TabBar[data-orientation='vertical'] > .lm-TabBar-content {
+  flex-direction: column;
+}
+
+.lm-TabBar-tab {
+  display: flex;
+  flex-direction: row;
+  box-sizing: border-box;
+  overflow: hidden;
+  touch-action: none; /* Disable native Drag/Drop */
+}
+
+.lm-TabBar-tabIcon,
+.lm-TabBar-tabCloseIcon {
+  flex: 0 0 auto;
+}
+
+.lm-TabBar-tabLabel {
+  flex: 1 1 auto;
+  overflow: hidden;
+  white-space: nowrap;
+}
+
+.lm-TabBar-tabInput {
+  user-select: all;
+  width: 100%;
+  box-sizing: border-box;
+}
+
+.lm-TabBar-tab.lm-mod-hidden {
+  display: none !important;
+}
+
+.lm-TabBar-addButton.lm-mod-hidden {
+  display: none !important;
+}
+
+.lm-TabBar.lm-mod-dragging .lm-TabBar-tab {
+  position: relative;
+}
+
+.lm-TabBar.lm-mod-dragging[data-orientation='horizontal'] .lm-TabBar-tab {
+  left: 0;
+  transition: left 150ms ease;
+}
+
+.lm-TabBar.lm-mod-dragging[data-orientation='vertical'] .lm-TabBar-tab {
+  top: 0;
+  transition: top 150ms ease;
+}
+
+.lm-TabBar.lm-mod-dragging .lm-TabBar-tab.lm-mod-dragging {
+  transition: none;
+}
+
+.lm-TabBar-tabLabel .lm-TabBar-tabInput {
+  user-select: all;
+  width: 100%;
+  box-sizing: border-box;
+  background: inherit;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-TabPanel-tabBar {
+  z-index: 1;
+}
+
+.lm-TabPanel-stackedPanel {
+  z-index: 0;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Collapse {
+  display: flex;
+  flex-direction: column;
+  align-items: stretch;
+}
+
+.jp-Collapse-header {
+  padding: 1px 12px;
+  background-color: var(--jp-layout-color1);
+  border-bottom: solid var(--jp-border-width) var(--jp-border-color2);
+  color: var(--jp-ui-font-color1);
+  cursor: pointer;
+  display: flex;
+  align-items: center;
+  font-size: var(--jp-ui-font-size0);
+  font-weight: 600;
+  text-transform: uppercase;
+  user-select: none;
+}
+
+.jp-Collapser-icon {
+  height: 16px;
+}
+
+.jp-Collapse-header-collapsed .jp-Collapser-icon {
+  transform: rotate(-90deg);
+  margin: auto 0;
+}
+
+.jp-Collapser-title {
+  line-height: 25px;
+}
+
+.jp-Collapse-contents {
+  padding: 0 12px;
+  background-color: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  overflow: auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/* This file was auto-generated by ensureUiComponents() in @jupyterlab/buildutils */
+
+/**
+ * (DEPRECATED) Support for consuming icons as CSS background images
+ */
+
+/* Icons urls */
+
+:root {
+  --jp-icon-add-above: url(data:image/svg+xml;base64,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);
+  --jp-icon-add-below: url(data:image/svg+xml;base64,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);
+  --jp-icon-add: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE5IDEzaC02djZoLTJ2LTZINXYtMmg2VjVoMnY2aDZ2MnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-bell: url(data:image/svg+xml;base64,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);
+  --jp-icon-bug-dot: url(data:image/svg+xml;base64,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);
+  --jp-icon-bug: url(data:image/svg+xml;base64,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);
+  --jp-icon-build: url(data:image/svg+xml;base64,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);
+  --jp-icon-caret-down-empty-thin: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwIDIwIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwb2x5Z29uIGNsYXNzPSJzdDEiIHBvaW50cz0iOS45LDEzLjYgMy42LDcuNCA0LjQsNi42IDkuOSwxMi4yIDE1LjQsNi43IDE2LjEsNy40ICIvPgoJPC9nPgo8L3N2Zz4K);
+  --jp-icon-caret-down-empty: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik01LjIsNS45TDksOS43bDMuOC0zLjhsMS4yLDEuMmwtNC45LDVsLTQuOS01TDUuMiw1Ljl6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-caret-down: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik01LjIsNy41TDksMTEuMmwzLjgtMy44SDUuMnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-caret-left: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwYXRoIGQ9Ik0xMC44LDEyLjhMNy4xLDlsMy44LTMuOGwwLDcuNkgxMC44eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-caret-right: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik03LjIsNS4yTDEwLjksOWwtMy44LDMuOFY1LjJINy4yeiIvPgogIDwvZz4KPC9zdmc+Cg==);
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+  --jp-icon-code-check: url(data:image/svg+xml;base64,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);
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+  --jp-icon-ellipses: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPGNpcmNsZSBjeD0iNSIgY3k9IjEyIiByPSIyIi8+CiAgICA8Y2lyY2xlIGN4PSIxMiIgY3k9IjEyIiByPSIyIi8+CiAgICA8Y2lyY2xlIGN4PSIxOSIgY3k9IjEyIiByPSIyIi8+CiAgPC9nPgo8L3N2Zz4K);
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+  --jp-icon-extension: url(data:image/svg+xml;base64,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);
+  --jp-icon-fast-forward: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIyNCIgaGVpZ2h0PSIyNCIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTQgMThsOC41LTZMNCA2djEyem05LTEydjEybDguNS02TDEzIDZ6Ii8+CiAgICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-file-upload: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTkgMTZoNnYtNmg0bC03LTctNyA3aDR6bS00IDJoMTR2Mkg1eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-file: url(data:image/svg+xml;base64,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);
+  --jp-icon-filter-dot: url(data:image/svg+xml;base64,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);
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+  --jp-icon-filter: url(data:image/svg+xml;base64,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);
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+  --jp-icon-home: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIGhlaWdodD0iMjRweCIgdmlld0JveD0iMCAwIDI0IDI0IiB3aWR0aD0iMjRweCIgZmlsbD0iIzAwMDAwMCI+CiAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPjxwYXRoIGNsYXNzPSJqcC1pY29uMyBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xMCAyMHYtNmg0djZoNXYtOGgzTDEyIDMgMiAxMmgzdjh6Ii8+Cjwvc3ZnPgo=);
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+  --jp-icon-info: url(data:image/svg+xml;base64,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);
+  --jp-icon-inspector: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaW5zcGVjdG9yLWljb24tY29sb3IganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMjAgNEg0Yy0xLjEgMC0xLjk5LjktMS45OSAyTDIgMThjMCAxLjEuOSAyIDIgMmgxNmMxLjEgMCAyLS45IDItMlY2YzAtMS4xLS45LTItMi0yem0tNSAxNEg0di00aDExdjR6bTAtNUg0VjloMTF2NHptNSA1aC00VjloNHY5eiIvPgo8L3N2Zz4K);
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+  --jp-icon-kernel: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGNsYXNzPSJqcC1pY29uMiIgZmlsbD0iIzYxNjE2MSIgZD0iTTE1IDlIOXY2aDZWOXptLTIgNGgtMnYtMmgydjJ6bTgtMlY5aC0yVjdjMC0xLjEtLjktMi0yLTJoLTJWM2gtMnYyaC0yVjNIOXYySDdjLTEuMSAwLTIgLjktMiAydjJIM3YyaDJ2MkgzdjJoMnYyYzAgMS4xLjkgMiAyIDJoMnYyaDJ2LTJoMnYyaDJ2LTJoMmMxLjEgMCAyLS45IDItMnYtMmgydi0yaC0ydi0yaDJ6bS00IDZIN1Y3aDEwdjEweiIvPgo8L3N2Zz4K);
+  --jp-icon-keyboard: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMjAgNUg0Yy0xLjEgMC0xLjk5LjktMS45OSAyTDIgMTdjMCAxLjEuOSAyIDIgMmgxNmMxLjEgMCAyLS45IDItMlY3YzAtMS4xLS45LTItMi0yem0tOSAzaDJ2MmgtMlY4em0wIDNoMnYyaC0ydi0yek04IDhoMnYySDhWOHptMCAzaDJ2Mkg4di0yem0tMSAySDV2LTJoMnYyem0wLTNINVY4aDJ2MnptOSA3SDh2LTJoOHYyem0wLTRoLTJ2LTJoMnYyem0wLTNoLTJWOGgydjJ6bTMgM2gtMnYtMmgydjJ6bTAtM2gtMlY4aDJ2MnoiLz4KPC9zdmc+Cg==);
+  --jp-icon-launch: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMzIgMzIiIHdpZHRoPSIzMiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIj4KICAgIDxwYXRoIGQ9Ik0yNiwyOEg2YTIuMDAyNywyLjAwMjcsMCwwLDEtMi0yVjZBMi4wMDI3LDIuMDAyNywwLDAsMSw2LDRIMTZWNkg2VjI2SDI2VjE2aDJWMjZBMi4wMDI3LDIuMDAyNywwLDAsMSwyNiwyOFoiLz4KICAgIDxwb2x5Z29uIHBvaW50cz0iMjAgMiAyMCA0IDI2LjU4NiA0IDE4IDEyLjU4NiAxOS40MTQgMTQgMjggNS40MTQgMjggMTIgMzAgMTIgMzAgMiAyMCAyIi8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-launcher: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMTkgMTlINVY1aDdWM0g1YTIgMiAwIDAwLTIgMnYxNGEyIDIgMCAwMDIgMmgxNGMxLjEgMCAyLS45IDItMnYtN2gtMnY3ek0xNCAzdjJoMy41OWwtOS44MyA5LjgzIDEuNDEgMS40MUwxOSA2LjQxVjEwaDJWM2gtN3oiLz4KPC9zdmc+Cg==);
+  --jp-icon-line-form: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGZpbGw9IndoaXRlIiBkPSJNNS44OCA0LjEyTDEzLjc2IDEybC03Ljg4IDcuODhMOCAyMmwxMC0xMEw4IDJ6Ii8+Cjwvc3ZnPgo=);
+  --jp-icon-link: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTMuOSAxMmMwLTEuNzEgMS4zOS0zLjEgMy4xLTMuMWg0VjdIN2MtMi43NiAwLTUgMi4yNC01IDVzMi4yNCA1IDUgNWg0di0xLjlIN2MtMS43MSAwLTMuMS0xLjM5LTMuMS0zLjF6TTggMTNoOHYtMkg4djJ6bTktNmgtNHYxLjloNGMxLjcxIDAgMy4xIDEuMzkgMy4xIDMuMXMtMS4zOSAzLjEtMy4xIDMuMWgtNFYxN2g0YzIuNzYgMCA1LTIuMjQgNS01cy0yLjI0LTUtNS01eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-list: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGNsYXNzPSJqcC1pY29uMiBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xOSA1djE0SDVWNWgxNG0xLjEtMkgzLjljLS41IDAtLjkuNC0uOS45djE2LjJjMCAuNC40LjkuOS45aDE2LjJjLjQgMCAuOS0uNS45LS45VjMuOWMwLS41LS41LS45LS45LS45ek0xMSA3aDZ2MmgtNlY3em0wIDRoNnYyaC02di0yem0wIDRoNnYyaC02ek03IDdoMnYySDd6bTAgNGgydjJIN3ptMCA0aDJ2Mkg3eiIvPgo8L3N2Zz4K);
+  --jp-icon-markdown: url(data:image/svg+xml;base64,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);
+  --jp-icon-move-down: url(data:image/svg+xml;base64,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);
+  --jp-icon-move-up: url(data:image/svg+xml;base64,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);
+  --jp-icon-new-folder: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTIwIDZoLThsLTItMkg0Yy0xLjExIDAtMS45OS44OS0xLjk5IDJMMiAxOGMwIDEuMTEuODkgMiAyIDJoMTZjMS4xMSAwIDItLjg5IDItMlY4YzAtMS4xMS0uODktMi0yLTJ6bS0xIDhoLTN2M2gtMnYtM2gtM3YtMmgzVjloMnYzaDN2MnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-not-trusted: url(data:image/svg+xml;base64,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);
+  --jp-icon-notebook: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtbm90ZWJvb2staWNvbi1jb2xvciBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiNFRjZDMDAiPgogICAgPHBhdGggZD0iTTE4LjcgMy4zdjE1LjRIMy4zVjMuM2gxNS40bTEuNS0xLjVIMS44djE4LjNoMTguM2wuMS0xOC4zeiIvPgogICAgPHBhdGggZD0iTTE2LjUgMTYuNWwtNS40LTQuMy01LjYgNC4zdi0xMWgxMXoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-numbering: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjIiIGhlaWdodD0iMjIiIHZpZXdCb3g9IjAgMCAyOCAyOCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CgkJPHBhdGggZD0iTTQgMTlINlYxOS41SDVWMjAuNUg2VjIxSDRWMjJIN1YxOEg0VjE5Wk01IDEwSDZWNkg0VjdINVYxMFpNNCAxM0g1LjhMNCAxNS4xVjE2SDdWMTVINS4yTDcgMTIuOVYxMkg0VjEzWk05IDdWOUgyM1Y3SDlaTTkgMjFIMjNWMTlIOVYyMVpNOSAxNUgyM1YxM0g5VjE1WiIvPgoJPC9nPgo8L3N2Zz4K);
+  --jp-icon-offline-bolt: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAyNCAyNCIgd2lkdGg9IjE2Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyIDIuMDJjLTUuNTEgMC05Ljk4IDQuNDctOS45OCA5Ljk4czQuNDcgOS45OCA5Ljk4IDkuOTggOS45OC00LjQ3IDkuOTgtOS45OFMxNy41MSAyLjAyIDEyIDIuMDJ6TTExLjQ4IDIwdi02LjI2SDhMMTMgNHY2LjI2aDMuMzVMMTEuNDggMjB6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-palette: url(data:image/svg+xml;base64,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);
+  --jp-icon-paste: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTE5IDJoLTQuMThDMTQuNC44NCAxMy4zIDAgMTIgMGMtMS4zIDAtMi40Ljg0LTIuODIgMkg1Yy0xLjEgMC0yIC45LTIgMnYxNmMwIDEuMS45IDIgMiAyaDE0YzEuMSAwIDItLjkgMi0yVjRjMC0xLjEtLjktMi0yLTJ6bS03IDBjLjU1IDAgMSAuNDUgMSAxcy0uNDUgMS0xIDEtMS0uNDUtMS0xIC40NS0xIDEtMXptNyAxOEg1VjRoMnYzaDEwVjRoMnYxNnoiLz4KICAgIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-pdf: url(data:image/svg+xml;base64,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);
+  --jp-icon-python: url(data:image/svg+xml;base64,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);
+  --jp-icon-r-kernel: url(data:image/svg+xml;base64,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);
+  --jp-icon-react: url(data:image/svg+xml;base64,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);
+  --jp-icon-redo: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIGhlaWdodD0iMjQiIHZpZXdCb3g9IjAgMCAyNCAyNCIgd2lkdGg9IjE2Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgICA8cGF0aCBkPSJNMCAwaDI0djI0SDB6IiBmaWxsPSJub25lIi8+PHBhdGggZD0iTTE4LjQgMTAuNkMxNi41NSA4Ljk5IDE0LjE1IDggMTEuNSA4Yy00LjY1IDAtOC41OCAzLjAzLTkuOTYgNy4yMkwzLjkgMTZjMS4wNS0zLjE5IDQuMDUtNS41IDcuNi01LjUgMS45NSAwIDMuNzMuNzIgNS4xMiAxLjg4TDEzIDE2aDlWN2wtMy42IDMuNnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-refresh: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTkgMTMuNWMtMi40OSAwLTQuNS0yLjAxLTQuNS00LjVTNi41MSA0LjUgOSA0LjVjMS4yNCAwIDIuMzYuNTIgMy4xNyAxLjMzTDEwIDhoNVYzbC0xLjc2IDEuNzZDMTIuMTUgMy42OCAxMC42NiAzIDkgMyA1LjY5IDMgMy4wMSA1LjY5IDMuMDEgOVM1LjY5IDE1IDkgMTVjMi45NyAwIDUuNDMtMi4xNiA1LjktNWgtMS41MmMtLjQ2IDItMi4yNCAzLjUtNC4zOCAzLjV6Ii8+CiAgICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-regex: url(data:image/svg+xml;base64,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);
+  --jp-icon-run: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTggNXYxNGwxMS03eiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-running: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDUxMiA1MTIiPgogIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICA8cGF0aCBkPSJNMjU2IDhDMTE5IDggOCAxMTkgOCAyNTZzMTExIDI0OCAyNDggMjQ4IDI0OC0xMTEgMjQ4LTI0OFMzOTMgOCAyNTYgOHptOTYgMzI4YzAgOC44LTcuMiAxNi0xNiAxNkgxNzZjLTguOCAwLTE2LTcuMi0xNi0xNlYxNzZjMC04LjggNy4yLTE2IDE2LTE2aDE2MGM4LjggMCAxNiA3LjIgMTYgMTZ2MTYweiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-save: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTE3IDNINWMtMS4xMSAwLTIgLjktMiAydjE0YzAgMS4xLjg5IDIgMiAyaDE0YzEuMSAwIDItLjkgMi0yVjdsLTQtNHptLTUgMTZjLTEuNjYgMC0zLTEuMzQtMy0zczEuMzQtMyAzLTMgMyAxLjM0IDMgMy0xLjM0IDMtMyAzem0zLTEwSDVWNWgxMHY0eiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-search: url(data:image/svg+xml;base64,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);
+  --jp-icon-settings: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMTkuNDMgMTIuOThjLjA0LS4zMi4wNy0uNjQuMDctLjk4cy0uMDMtLjY2LS4wNy0uOThsMi4xMS0xLjY1Yy4xOS0uMTUuMjQtLjQyLjEyLS42NGwtMi0zLjQ2Yy0uMTItLjIyLS4zOS0uMy0uNjEtLjIybC0yLjQ5IDFjLS41Mi0uNC0xLjA4LS43My0xLjY5LS45OGwtLjM4LTIuNjVBLjQ4OC40ODggMCAwMDE0IDJoLTRjLS4yNSAwLS40Ni4xOC0uNDkuNDJsLS4zOCAyLjY1Yy0uNjEuMjUtMS4xNy41OS0xLjY5Ljk4bC0yLjQ5LTFjLS4yMy0uMDktLjQ5IDAtLjYxLjIybC0yIDMuNDZjLS4xMy4yMi0uMDcuNDkuMTIuNjRsMi4xMSAxLjY1Yy0uMDQuMzItLjA3LjY1LS4wNy45OHMuMDMuNjYuMDcuOThsLTIuMTEgMS42NWMtLjE5LjE1LS4yNC40Mi0uMTIuNjRsMiAzLjQ2Yy4xMi4yMi4zOS4zLjYxLjIybDIuNDktMWMuNTIuNCAxLjA4LjczIDEuNjkuOThsLjM4IDIuNjVjLjAzLjI0LjI0LjQyLjQ5LjQyaDRjLjI1IDAgLjQ2LS4xOC40OS0uNDJsLjM4LTIuNjVjLjYxLS4yNSAxLjE3LS41OSAxLjY5LS45OGwyLjQ5IDFjLjIzLjA5LjQ5IDAgLjYxLS4yMmwyLTMuNDZjLjEyLS4yMi4wNy0uNDktLjEyLS42NGwtMi4xMS0xLjY1ek0xMiAxNS41Yy0xLjkzIDAtMy41LTEuNTctMy41LTMuNXMxLjU3LTMuNSAzLjUtMy41IDMuNSAxLjU3IDMuNSAzLjUtMS41NyAzLjUtMy41IDMuNXoiLz4KPC9zdmc+Cg==);
+  --jp-icon-share: url(data:image/svg+xml;base64,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);
+  --jp-icon-spreadsheet: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8cGF0aCBjbGFzcz0ianAtaWNvbi1jb250cmFzdDEganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNENBRjUwIiBkPSJNMi4yIDIuMnYxNy42aDE3LjZWMi4ySDIuMnptMTUuNCA3LjdoLTUuNVY0LjRoNS41djUuNXpNOS45IDQuNHY1LjVINC40VjQuNGg1LjV6bS01LjUgNy43aDUuNXY1LjVINC40di01LjV6bTcuNyA1LjV2LTUuNWg1LjV2NS41aC01LjV6Ii8+Cjwvc3ZnPgo=);
+  --jp-icon-stop: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik02IDZoMTJ2MTJINnoiLz4KICAgIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-tab: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTIxIDNIM2MtMS4xIDAtMiAuOS0yIDJ2MTRjMCAxLjEuOSAyIDIgMmgxOGMxLjEgMCAyLS45IDItMlY1YzAtMS4xLS45LTItMi0yem0wIDE2SDNWNWgxMHY0aDh2MTB6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-table-rows: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik0yMSw4SDNWNGgxOFY4eiBNMjEsMTBIM3Y0aDE4VjEweiBNMjEsMTZIM3Y0aDE4VjE2eiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-tag: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjgiIGhlaWdodD0iMjgiIHZpZXdCb3g9IjAgMCA0MyAyOCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CgkJPHBhdGggZD0iTTI4LjgzMzIgMTIuMzM0TDMyLjk5OTggMTYuNTAwN0wzNy4xNjY1IDEyLjMzNEgyOC44MzMyWiIvPgoJCTxwYXRoIGQ9Ik0xNi4yMDk1IDIxLjYxMDRDMTUuNjg3MyAyMi4xMjk5IDE0Ljg0NDMgMjIuMTI5OSAxNC4zMjQ4IDIxLjYxMDRMNi45ODI5IDE0LjcyNDVDNi41NzI0IDE0LjMzOTQgNi4wODMxMyAxMy42MDk4IDYuMDQ3ODYgMTMuMDQ4MkM1Ljk1MzQ3IDExLjUyODggNi4wMjAwMiA4LjYxOTQ0IDYuMDY2MjEgNy4wNzY5NUM2LjA4MjgxIDYuNTE0NzcgNi41NTU0OCA2LjA0MzQ3IDcuMTE4MDQgNi4wMzA1NUM5LjA4ODYzIDUuOTg0NzMgMTMuMjYzOCA1LjkzNTc5IDEzLjY1MTggNi4zMjQyNUwyMS43MzY5IDEzLjYzOUMyMi4yNTYgMTQuMTU4NSAyMS43ODUxIDE1LjQ3MjQgMjEuMjYyIDE1Ljk5NDZMMTYuMjA5NSAyMS42MTA0Wk05Ljc3NTg1IDguMjY1QzkuMzM1NTEgNy44MjU2NiA4LjYyMzUxIDcuODI1NjYgOC4xODI4IDguMjY1QzcuNzQzNDYgOC43MDU3MSA3Ljc0MzQ2IDkuNDE3MzMgOC4xODI4IDkuODU2NjdDOC42MjM4MiAxMC4yOTY0IDkuMzM1ODIgMTAuMjk2NCA5Ljc3NTg1IDkuODU2NjdDMTAuMjE1NiA5LjQxNzMzIDEwLjIxNTYgOC43MDUzMyA5Ljc3NTg1IDguMjY1WiIvPgoJPC9nPgo8L3N2Zz4K);
+  --jp-icon-terminal: url(data:image/svg+xml;base64,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);
+  --jp-icon-text-editor: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtdGV4dC1lZGl0b3ItaWNvbi1jb2xvciBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xNSAxNUgzdjJoMTJ2LTJ6bTAtOEgzdjJoMTJWN3pNMyAxM2gxOHYtMkgzdjJ6bTAgOGgxOHYtMkgzdjJ6TTMgM3YyaDE4VjNIM3oiLz4KPC9zdmc+Cg==);
+  --jp-icon-toc: url(data:image/svg+xml;base64,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);
+  --jp-icon-tree-view: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik0yMiAxMVYzaC03djNIOVYzSDJ2OGg3VjhoMnYxMGg0djNoN3YtOGgtN3YzaC0yVjhoMnYzeiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-trusted: url(data:image/svg+xml;base64,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);
+  --jp-icon-undo: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyLjUgOGMtMi42NSAwLTUuMDUuOTktNi45IDIuNkwyIDd2OWg5bC0zLjYyLTMuNjJjMS4zOS0xLjE2IDMuMTYtMS44OCA1LjEyLTEuODggMy41NCAwIDYuNTUgMi4zMSA3LjYgNS41bDIuMzctLjc4QzIxLjA4IDExLjAzIDE3LjE1IDggMTIuNSA4eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-user: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMTYiIHZpZXdCb3g9IjAgMCAyNCAyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE2IDdhNCA0IDAgMTEtOCAwIDQgNCAwIDAxOCAwek0xMiAxNGE3IDcgMCAwMC03IDdoMTRhNyA3IDAgMDAtNy03eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-users: url(data:image/svg+xml;base64,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);
+  --jp-icon-vega: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtaWNvbjEganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjMjEyMTIxIj4KICAgIDxwYXRoIGQ9Ik0xMC42IDUuNGwyLjItMy4ySDIuMnY3LjNsNC02LjZ6Ii8+CiAgICA8cGF0aCBkPSJNMTUuOCAyLjJsLTQuNCA2LjZMNyA2LjNsLTQuOCA4djUuNWgxNy42VjIuMmgtNHptLTcgMTUuNEg1LjV2LTQuNGgzLjN2NC40em00LjQgMEg5LjhWOS44aDMuNHY3Ljh6bTQuNCAwaC0zLjRWNi41aDMuNHYxMS4xeiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-word: url(data:image/svg+xml;base64,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);
+  --jp-icon-yaml: url(data:image/svg+xml;base64,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);
+}
+
+/* Icon CSS class declarations */
+
+.jp-AddAboveIcon {
+  background-image: var(--jp-icon-add-above);
+}
+
+.jp-AddBelowIcon {
+  background-image: var(--jp-icon-add-below);
+}
+
+.jp-AddIcon {
+  background-image: var(--jp-icon-add);
+}
+
+.jp-BellIcon {
+  background-image: var(--jp-icon-bell);
+}
+
+.jp-BugDotIcon {
+  background-image: var(--jp-icon-bug-dot);
+}
+
+.jp-BugIcon {
+  background-image: var(--jp-icon-bug);
+}
+
+.jp-BuildIcon {
+  background-image: var(--jp-icon-build);
+}
+
+.jp-CaretDownEmptyIcon {
+  background-image: var(--jp-icon-caret-down-empty);
+}
+
+.jp-CaretDownEmptyThinIcon {
+  background-image: var(--jp-icon-caret-down-empty-thin);
+}
+
+.jp-CaretDownIcon {
+  background-image: var(--jp-icon-caret-down);
+}
+
+.jp-CaretLeftIcon {
+  background-image: var(--jp-icon-caret-left);
+}
+
+.jp-CaretRightIcon {
+  background-image: var(--jp-icon-caret-right);
+}
+
+.jp-CaretUpEmptyThinIcon {
+  background-image: var(--jp-icon-caret-up-empty-thin);
+}
+
+.jp-CaretUpIcon {
+  background-image: var(--jp-icon-caret-up);
+}
+
+.jp-CaseSensitiveIcon {
+  background-image: var(--jp-icon-case-sensitive);
+}
+
+.jp-CheckIcon {
+  background-image: var(--jp-icon-check);
+}
+
+.jp-CircleEmptyIcon {
+  background-image: var(--jp-icon-circle-empty);
+}
+
+.jp-CircleIcon {
+  background-image: var(--jp-icon-circle);
+}
+
+.jp-ClearIcon {
+  background-image: var(--jp-icon-clear);
+}
+
+.jp-CloseIcon {
+  background-image: var(--jp-icon-close);
+}
+
+.jp-CodeCheckIcon {
+  background-image: var(--jp-icon-code-check);
+}
+
+.jp-CodeIcon {
+  background-image: var(--jp-icon-code);
+}
+
+.jp-CollapseAllIcon {
+  background-image: var(--jp-icon-collapse-all);
+}
+
+.jp-ConsoleIcon {
+  background-image: var(--jp-icon-console);
+}
+
+.jp-CopyIcon {
+  background-image: var(--jp-icon-copy);
+}
+
+.jp-CopyrightIcon {
+  background-image: var(--jp-icon-copyright);
+}
+
+.jp-CutIcon {
+  background-image: var(--jp-icon-cut);
+}
+
+.jp-DeleteIcon {
+  background-image: var(--jp-icon-delete);
+}
+
+.jp-DownloadIcon {
+  background-image: var(--jp-icon-download);
+}
+
+.jp-DuplicateIcon {
+  background-image: var(--jp-icon-duplicate);
+}
+
+.jp-EditIcon {
+  background-image: var(--jp-icon-edit);
+}
+
+.jp-EllipsesIcon {
+  background-image: var(--jp-icon-ellipses);
+}
+
+.jp-ErrorIcon {
+  background-image: var(--jp-icon-error);
+}
+
+.jp-ExpandAllIcon {
+  background-image: var(--jp-icon-expand-all);
+}
+
+.jp-ExtensionIcon {
+  background-image: var(--jp-icon-extension);
+}
+
+.jp-FastForwardIcon {
+  background-image: var(--jp-icon-fast-forward);
+}
+
+.jp-FileIcon {
+  background-image: var(--jp-icon-file);
+}
+
+.jp-FileUploadIcon {
+  background-image: var(--jp-icon-file-upload);
+}
+
+.jp-FilterDotIcon {
+  background-image: var(--jp-icon-filter-dot);
+}
+
+.jp-FilterIcon {
+  background-image: var(--jp-icon-filter);
+}
+
+.jp-FilterListIcon {
+  background-image: var(--jp-icon-filter-list);
+}
+
+.jp-FolderFavoriteIcon {
+  background-image: var(--jp-icon-folder-favorite);
+}
+
+.jp-FolderIcon {
+  background-image: var(--jp-icon-folder);
+}
+
+.jp-HomeIcon {
+  background-image: var(--jp-icon-home);
+}
+
+.jp-Html5Icon {
+  background-image: var(--jp-icon-html5);
+}
+
+.jp-ImageIcon {
+  background-image: var(--jp-icon-image);
+}
+
+.jp-InfoIcon {
+  background-image: var(--jp-icon-info);
+}
+
+.jp-InspectorIcon {
+  background-image: var(--jp-icon-inspector);
+}
+
+.jp-JsonIcon {
+  background-image: var(--jp-icon-json);
+}
+
+.jp-JuliaIcon {
+  background-image: var(--jp-icon-julia);
+}
+
+.jp-JupyterFaviconIcon {
+  background-image: var(--jp-icon-jupyter-favicon);
+}
+
+.jp-JupyterIcon {
+  background-image: var(--jp-icon-jupyter);
+}
+
+.jp-JupyterlabWordmarkIcon {
+  background-image: var(--jp-icon-jupyterlab-wordmark);
+}
+
+.jp-KernelIcon {
+  background-image: var(--jp-icon-kernel);
+}
+
+.jp-KeyboardIcon {
+  background-image: var(--jp-icon-keyboard);
+}
+
+.jp-LaunchIcon {
+  background-image: var(--jp-icon-launch);
+}
+
+.jp-LauncherIcon {
+  background-image: var(--jp-icon-launcher);
+}
+
+.jp-LineFormIcon {
+  background-image: var(--jp-icon-line-form);
+}
+
+.jp-LinkIcon {
+  background-image: var(--jp-icon-link);
+}
+
+.jp-ListIcon {
+  background-image: var(--jp-icon-list);
+}
+
+.jp-MarkdownIcon {
+  background-image: var(--jp-icon-markdown);
+}
+
+.jp-MoveDownIcon {
+  background-image: var(--jp-icon-move-down);
+}
+
+.jp-MoveUpIcon {
+  background-image: var(--jp-icon-move-up);
+}
+
+.jp-NewFolderIcon {
+  background-image: var(--jp-icon-new-folder);
+}
+
+.jp-NotTrustedIcon {
+  background-image: var(--jp-icon-not-trusted);
+}
+
+.jp-NotebookIcon {
+  background-image: var(--jp-icon-notebook);
+}
+
+.jp-NumberingIcon {
+  background-image: var(--jp-icon-numbering);
+}
+
+.jp-OfflineBoltIcon {
+  background-image: var(--jp-icon-offline-bolt);
+}
+
+.jp-PaletteIcon {
+  background-image: var(--jp-icon-palette);
+}
+
+.jp-PasteIcon {
+  background-image: var(--jp-icon-paste);
+}
+
+.jp-PdfIcon {
+  background-image: var(--jp-icon-pdf);
+}
+
+.jp-PythonIcon {
+  background-image: var(--jp-icon-python);
+}
+
+.jp-RKernelIcon {
+  background-image: var(--jp-icon-r-kernel);
+}
+
+.jp-ReactIcon {
+  background-image: var(--jp-icon-react);
+}
+
+.jp-RedoIcon {
+  background-image: var(--jp-icon-redo);
+}
+
+.jp-RefreshIcon {
+  background-image: var(--jp-icon-refresh);
+}
+
+.jp-RegexIcon {
+  background-image: var(--jp-icon-regex);
+}
+
+.jp-RunIcon {
+  background-image: var(--jp-icon-run);
+}
+
+.jp-RunningIcon {
+  background-image: var(--jp-icon-running);
+}
+
+.jp-SaveIcon {
+  background-image: var(--jp-icon-save);
+}
+
+.jp-SearchIcon {
+  background-image: var(--jp-icon-search);
+}
+
+.jp-SettingsIcon {
+  background-image: var(--jp-icon-settings);
+}
+
+.jp-ShareIcon {
+  background-image: var(--jp-icon-share);
+}
+
+.jp-SpreadsheetIcon {
+  background-image: var(--jp-icon-spreadsheet);
+}
+
+.jp-StopIcon {
+  background-image: var(--jp-icon-stop);
+}
+
+.jp-TabIcon {
+  background-image: var(--jp-icon-tab);
+}
+
+.jp-TableRowsIcon {
+  background-image: var(--jp-icon-table-rows);
+}
+
+.jp-TagIcon {
+  background-image: var(--jp-icon-tag);
+}
+
+.jp-TerminalIcon {
+  background-image: var(--jp-icon-terminal);
+}
+
+.jp-TextEditorIcon {
+  background-image: var(--jp-icon-text-editor);
+}
+
+.jp-TocIcon {
+  background-image: var(--jp-icon-toc);
+}
+
+.jp-TreeViewIcon {
+  background-image: var(--jp-icon-tree-view);
+}
+
+.jp-TrustedIcon {
+  background-image: var(--jp-icon-trusted);
+}
+
+.jp-UndoIcon {
+  background-image: var(--jp-icon-undo);
+}
+
+.jp-UserIcon {
+  background-image: var(--jp-icon-user);
+}
+
+.jp-UsersIcon {
+  background-image: var(--jp-icon-users);
+}
+
+.jp-VegaIcon {
+  background-image: var(--jp-icon-vega);
+}
+
+.jp-WordIcon {
+  background-image: var(--jp-icon-word);
+}
+
+.jp-YamlIcon {
+  background-image: var(--jp-icon-yaml);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/**
+ * (DEPRECATED) Support for consuming icons as CSS background images
+ */
+
+.jp-Icon,
+.jp-MaterialIcon {
+  background-position: center;
+  background-repeat: no-repeat;
+  background-size: 16px;
+  min-width: 16px;
+  min-height: 16px;
+}
+
+.jp-Icon-cover {
+  background-position: center;
+  background-repeat: no-repeat;
+  background-size: cover;
+}
+
+/**
+ * (DEPRECATED) Support for specific CSS icon sizes
+ */
+
+.jp-Icon-16 {
+  background-size: 16px;
+  min-width: 16px;
+  min-height: 16px;
+}
+
+.jp-Icon-18 {
+  background-size: 18px;
+  min-width: 18px;
+  min-height: 18px;
+}
+
+.jp-Icon-20 {
+  background-size: 20px;
+  min-width: 20px;
+  min-height: 20px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.lm-TabBar .lm-TabBar-addButton {
+  align-items: center;
+  display: flex;
+  padding: 4px;
+  padding-bottom: 5px;
+  margin-right: 1px;
+  background-color: var(--jp-layout-color2);
+}
+
+.lm-TabBar .lm-TabBar-addButton:hover {
+  background-color: var(--jp-layout-color1);
+}
+
+.lm-DockPanel-tabBar .lm-TabBar-tab {
+  width: var(--jp-private-horizontal-tab-width);
+}
+
+.lm-DockPanel-tabBar .lm-TabBar-content {
+  flex: unset;
+}
+
+.lm-DockPanel-tabBar[data-orientation='horizontal'] {
+  flex: 1 1 auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/**
+ * Support for icons as inline SVG HTMLElements
+ */
+
+/* recolor the primary elements of an icon */
+.jp-icon0[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon1[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon2[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon3[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon4[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon0[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon1[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon2[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon3[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon4[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/* recolor the accent elements of an icon */
+.jp-icon-accent0[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.jp-icon-accent1[fill] {
+  fill: var(--jp-layout-color1);
+}
+
+.jp-icon-accent2[fill] {
+  fill: var(--jp-layout-color2);
+}
+
+.jp-icon-accent3[fill] {
+  fill: var(--jp-layout-color3);
+}
+
+.jp-icon-accent4[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-accent0[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-accent1[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-accent2[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-accent3[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-accent4[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* set the color of an icon to transparent */
+.jp-icon-none[fill] {
+  fill: none;
+}
+
+.jp-icon-none[stroke] {
+  stroke: none;
+}
+
+/* brand icon colors. Same for light and dark */
+.jp-icon-brand0[fill] {
+  fill: var(--jp-brand-color0);
+}
+
+.jp-icon-brand1[fill] {
+  fill: var(--jp-brand-color1);
+}
+
+.jp-icon-brand2[fill] {
+  fill: var(--jp-brand-color2);
+}
+
+.jp-icon-brand3[fill] {
+  fill: var(--jp-brand-color3);
+}
+
+.jp-icon-brand4[fill] {
+  fill: var(--jp-brand-color4);
+}
+
+.jp-icon-brand0[stroke] {
+  stroke: var(--jp-brand-color0);
+}
+
+.jp-icon-brand1[stroke] {
+  stroke: var(--jp-brand-color1);
+}
+
+.jp-icon-brand2[stroke] {
+  stroke: var(--jp-brand-color2);
+}
+
+.jp-icon-brand3[stroke] {
+  stroke: var(--jp-brand-color3);
+}
+
+.jp-icon-brand4[stroke] {
+  stroke: var(--jp-brand-color4);
+}
+
+/* warn icon colors. Same for light and dark */
+.jp-icon-warn0[fill] {
+  fill: var(--jp-warn-color0);
+}
+
+.jp-icon-warn1[fill] {
+  fill: var(--jp-warn-color1);
+}
+
+.jp-icon-warn2[fill] {
+  fill: var(--jp-warn-color2);
+}
+
+.jp-icon-warn3[fill] {
+  fill: var(--jp-warn-color3);
+}
+
+.jp-icon-warn0[stroke] {
+  stroke: var(--jp-warn-color0);
+}
+
+.jp-icon-warn1[stroke] {
+  stroke: var(--jp-warn-color1);
+}
+
+.jp-icon-warn2[stroke] {
+  stroke: var(--jp-warn-color2);
+}
+
+.jp-icon-warn3[stroke] {
+  stroke: var(--jp-warn-color3);
+}
+
+/* icon colors that contrast well with each other and most backgrounds */
+.jp-icon-contrast0[fill] {
+  fill: var(--jp-icon-contrast-color0);
+}
+
+.jp-icon-contrast1[fill] {
+  fill: var(--jp-icon-contrast-color1);
+}
+
+.jp-icon-contrast2[fill] {
+  fill: var(--jp-icon-contrast-color2);
+}
+
+.jp-icon-contrast3[fill] {
+  fill: var(--jp-icon-contrast-color3);
+}
+
+.jp-icon-contrast0[stroke] {
+  stroke: var(--jp-icon-contrast-color0);
+}
+
+.jp-icon-contrast1[stroke] {
+  stroke: var(--jp-icon-contrast-color1);
+}
+
+.jp-icon-contrast2[stroke] {
+  stroke: var(--jp-icon-contrast-color2);
+}
+
+.jp-icon-contrast3[stroke] {
+  stroke: var(--jp-icon-contrast-color3);
+}
+
+.jp-icon-dot[fill] {
+  fill: var(--jp-warn-color0);
+}
+
+.jp-jupyter-icon-color[fill] {
+  fill: var(--jp-jupyter-icon-color, var(--jp-warn-color0));
+}
+
+.jp-notebook-icon-color[fill] {
+  fill: var(--jp-notebook-icon-color, var(--jp-warn-color0));
+}
+
+.jp-json-icon-color[fill] {
+  fill: var(--jp-json-icon-color, var(--jp-warn-color1));
+}
+
+.jp-console-icon-color[fill] {
+  fill: var(--jp-console-icon-color, white);
+}
+
+.jp-console-icon-background-color[fill] {
+  fill: var(--jp-console-icon-background-color, var(--jp-brand-color1));
+}
+
+.jp-terminal-icon-color[fill] {
+  fill: var(--jp-terminal-icon-color, var(--jp-layout-color2));
+}
+
+.jp-terminal-icon-background-color[fill] {
+  fill: var(
+    --jp-terminal-icon-background-color,
+    var(--jp-inverse-layout-color2)
+  );
+}
+
+.jp-text-editor-icon-color[fill] {
+  fill: var(--jp-text-editor-icon-color, var(--jp-inverse-layout-color3));
+}
+
+.jp-inspector-icon-color[fill] {
+  fill: var(--jp-inspector-icon-color, var(--jp-inverse-layout-color3));
+}
+
+/* CSS for icons in selected filebrowser listing items */
+.jp-DirListing-item.jp-mod-selected .jp-icon-selectable[fill] {
+  fill: #fff;
+}
+
+.jp-DirListing-item.jp-mod-selected .jp-icon-selectable-inverse[fill] {
+  fill: var(--jp-brand-color1);
+}
+
+/* stylelint-disable selector-max-class, selector-max-compound-selectors */
+
+/**
+* TODO: come up with non css-hack solution for showing the busy icon on top
+*  of the close icon
+* CSS for complex behavior of close icon of tabs in the main area tabbar
+*/
+.lm-DockPanel-tabBar
+  .lm-TabBar-tab.lm-mod-closable.jp-mod-dirty
+  > .lm-TabBar-tabCloseIcon
+  > :not(:hover)
+  > .jp-icon3[fill] {
+  fill: none;
+}
+
+.lm-DockPanel-tabBar
+  .lm-TabBar-tab.lm-mod-closable.jp-mod-dirty
+  > .lm-TabBar-tabCloseIcon
+  > :not(:hover)
+  > .jp-icon-busy[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+/* stylelint-enable selector-max-class, selector-max-compound-selectors */
+
+/* CSS for icons in status bar */
+#jp-main-statusbar .jp-mod-selected .jp-icon-selectable[fill] {
+  fill: #fff;
+}
+
+#jp-main-statusbar .jp-mod-selected .jp-icon-selectable-inverse[fill] {
+  fill: var(--jp-brand-color1);
+}
+
+/* special handling for splash icon CSS. While the theme CSS reloads during
+   splash, the splash icon can loose theming. To prevent that, we set a
+   default for its color variable */
+:root {
+  --jp-warn-color0: var(--md-orange-700);
+}
+
+/* not sure what to do with this one, used in filebrowser listing */
+.jp-DragIcon {
+  margin-right: 4px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/**
+ * Support for alt colors for icons as inline SVG HTMLElements
+ */
+
+/* alt recolor the primary elements of an icon */
+.jp-icon-alt .jp-icon0[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.jp-icon-alt .jp-icon1[fill] {
+  fill: var(--jp-layout-color1);
+}
+
+.jp-icon-alt .jp-icon2[fill] {
+  fill: var(--jp-layout-color2);
+}
+
+.jp-icon-alt .jp-icon3[fill] {
+  fill: var(--jp-layout-color3);
+}
+
+.jp-icon-alt .jp-icon4[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-alt .jp-icon0[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-alt .jp-icon1[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-alt .jp-icon2[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-alt .jp-icon3[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-alt .jp-icon4[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* alt recolor the accent elements of an icon */
+.jp-icon-alt .jp-icon-accent0[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-alt .jp-icon-accent1[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-alt .jp-icon-accent2[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-alt .jp-icon-accent3[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-alt .jp-icon-accent4[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon-alt .jp-icon-accent0[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-alt .jp-icon-accent1[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-alt .jp-icon-accent2[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-alt .jp-icon-accent3[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-alt .jp-icon-accent4[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-icon-hoverShow:not(:hover) .jp-icon-hoverShow-content {
+  display: none !important;
+}
+
+/**
+ * Support for hover colors for icons as inline SVG HTMLElements
+ */
+
+/**
+ * regular colors
+ */
+
+/* recolor the primary elements of an icon */
+.jp-icon-hover :hover .jp-icon0-hover[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon1-hover[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon2-hover[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon3-hover[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon4-hover[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon-hover :hover .jp-icon0-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon1-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon2-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon3-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon4-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/* recolor the accent elements of an icon */
+.jp-icon-hover :hover .jp-icon-accent0-hover[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon-accent1-hover[fill] {
+  fill: var(--jp-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon-accent2-hover[fill] {
+  fill: var(--jp-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon-accent3-hover[fill] {
+  fill: var(--jp-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon-accent4-hover[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-hover :hover .jp-icon-accent0-hover[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon-accent1-hover[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon-accent2-hover[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon-accent3-hover[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon-accent4-hover[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* set the color of an icon to transparent */
+.jp-icon-hover :hover .jp-icon-none-hover[fill] {
+  fill: none;
+}
+
+.jp-icon-hover :hover .jp-icon-none-hover[stroke] {
+  stroke: none;
+}
+
+/**
+ * inverse colors
+ */
+
+/* inverse recolor the primary elements of an icon */
+.jp-icon-hover.jp-icon-alt :hover .jp-icon0-hover[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon1-hover[fill] {
+  fill: var(--jp-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon2-hover[fill] {
+  fill: var(--jp-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon3-hover[fill] {
+  fill: var(--jp-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon4-hover[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon0-hover[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon1-hover[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon2-hover[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon3-hover[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon4-hover[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* inverse recolor the accent elements of an icon */
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent0-hover[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent1-hover[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent2-hover[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent3-hover[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent4-hover[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent0-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent1-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent2-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent3-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent4-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-IFrame {
+  width: 100%;
+  height: 100%;
+}
+
+.jp-IFrame > iframe {
+  border: none;
+}
+
+/*
+When drag events occur, `lm-mod-override-cursor` is added to the body.
+Because iframes steal all cursor events, the following two rules are necessary
+to suppress pointer events while resize drags are occurring. There may be a
+better solution to this problem.
+*/
+body.lm-mod-override-cursor .jp-IFrame {
+  position: relative;
+}
+
+body.lm-mod-override-cursor .jp-IFrame::before {
+  content: '';
+  position: absolute;
+  top: 0;
+  left: 0;
+  right: 0;
+  bottom: 0;
+  background: transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-HoverBox {
+  position: fixed;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-FormGroup-content fieldset {
+  border: none;
+  padding: 0;
+  min-width: 0;
+  width: 100%;
+}
+
+/* stylelint-disable selector-max-type */
+
+.jp-FormGroup-content fieldset .jp-inputFieldWrapper input,
+.jp-FormGroup-content fieldset .jp-inputFieldWrapper select,
+.jp-FormGroup-content fieldset .jp-inputFieldWrapper textarea {
+  font-size: var(--jp-content-font-size2);
+  border-color: var(--jp-input-border-color);
+  border-style: solid;
+  border-radius: var(--jp-border-radius);
+  border-width: 1px;
+  padding: 6px 8px;
+  background: none;
+  color: var(--jp-ui-font-color0);
+  height: inherit;
+}
+
+.jp-FormGroup-content fieldset input[type='checkbox'] {
+  position: relative;
+  top: 2px;
+  margin-left: 0;
+}
+
+.jp-FormGroup-content button.jp-mod-styled {
+  cursor: pointer;
+}
+
+.jp-FormGroup-content .checkbox label {
+  cursor: pointer;
+  font-size: var(--jp-content-font-size1);
+}
+
+.jp-FormGroup-content .jp-root > fieldset > legend {
+  display: none;
+}
+
+.jp-FormGroup-content .jp-root > fieldset > p {
+  display: none;
+}
+
+/** copy of `input.jp-mod-styled:focus` style */
+.jp-FormGroup-content fieldset input:focus,
+.jp-FormGroup-content fieldset select:focus {
+  -moz-outline-radius: unset;
+  outline: var(--jp-border-width) solid var(--md-blue-500);
+  outline-offset: -1px;
+  box-shadow: inset 0 0 4px var(--md-blue-300);
+}
+
+.jp-FormGroup-content fieldset input:hover:not(:focus),
+.jp-FormGroup-content fieldset select:hover:not(:focus) {
+  background-color: var(--jp-border-color2);
+}
+
+/* stylelint-enable selector-max-type */
+
+.jp-FormGroup-content .checkbox .field-description {
+  /* Disable default description field for checkbox:
+   because other widgets do not have description fields,
+   we add descriptions to each widget on the field level.
+  */
+  display: none;
+}
+
+.jp-FormGroup-content #root__description {
+  display: none;
+}
+
+.jp-FormGroup-content .jp-modifiedIndicator {
+  width: 5px;
+  background-color: var(--jp-brand-color2);
+  margin-top: 0;
+  margin-left: calc(var(--jp-private-settingeditor-modifier-indent) * -1);
+  flex-shrink: 0;
+}
+
+.jp-FormGroup-content .jp-modifiedIndicator.jp-errorIndicator {
+  background-color: var(--jp-error-color0);
+  margin-right: 0.5em;
+}
+
+/* RJSF ARRAY style */
+
+.jp-arrayFieldWrapper legend {
+  font-size: var(--jp-content-font-size2);
+  color: var(--jp-ui-font-color0);
+  flex-basis: 100%;
+  padding: 4px 0;
+  font-weight: var(--jp-content-heading-font-weight);
+  border-bottom: 1px solid var(--jp-border-color2);
+}
+
+.jp-arrayFieldWrapper .field-description {
+  padding: 4px 0;
+  white-space: pre-wrap;
+}
+
+.jp-arrayFieldWrapper .array-item {
+  width: 100%;
+  border: 1px solid var(--jp-border-color2);
+  border-radius: 4px;
+  margin: 4px;
+}
+
+.jp-ArrayOperations {
+  display: flex;
+  margin-left: 8px;
+}
+
+.jp-ArrayOperationsButton {
+  margin: 2px;
+}
+
+.jp-ArrayOperationsButton .jp-icon3[fill] {
+  fill: var(--jp-ui-font-color0);
+}
+
+button.jp-ArrayOperationsButton.jp-mod-styled:disabled {
+  cursor: not-allowed;
+  opacity: 0.5;
+}
+
+/* RJSF form validation error */
+
+.jp-FormGroup-content .validationErrors {
+  color: var(--jp-error-color0);
+}
+
+/* Hide panel level error as duplicated the field level error */
+.jp-FormGroup-content .panel.errors {
+  display: none;
+}
+
+/* RJSF normal content (settings-editor) */
+
+.jp-FormGroup-contentNormal {
+  display: flex;
+  align-items: center;
+  flex-wrap: wrap;
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-contentItem {
+  margin-left: 7px;
+  color: var(--jp-ui-font-color0);
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-description {
+  flex-basis: 100%;
+  padding: 4px 7px;
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-default {
+  flex-basis: 100%;
+  padding: 4px 7px;
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-fieldLabel {
+  font-size: var(--jp-content-font-size1);
+  font-weight: normal;
+  min-width: 120px;
+}
+
+.jp-FormGroup-contentNormal fieldset:not(:first-child) {
+  margin-left: 7px;
+}
+
+.jp-FormGroup-contentNormal .field-array-of-string .array-item {
+  /* Display `jp-ArrayOperations` buttons side-by-side with content except
+    for small screens where flex-wrap will place them one below the other.
+  */
+  display: flex;
+  align-items: center;
+  flex-wrap: wrap;
+}
+
+.jp-FormGroup-contentNormal .jp-objectFieldWrapper .form-group {
+  padding: 2px 8px 2px var(--jp-private-settingeditor-modifier-indent);
+  margin-top: 2px;
+}
+
+/* RJSF compact content (metadata-form) */
+
+.jp-FormGroup-content.jp-FormGroup-contentCompact {
+  width: 100%;
+}
+
+.jp-FormGroup-contentCompact .form-group {
+  display: flex;
+  padding: 0.5em 0.2em 0.5em 0;
+}
+
+.jp-FormGroup-contentCompact
+  .jp-FormGroup-compactTitle
+  .jp-FormGroup-description {
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-FormGroup-contentCompact .jp-FormGroup-fieldLabel {
+  padding-bottom: 0.3em;
+}
+
+.jp-FormGroup-contentCompact .jp-inputFieldWrapper .form-control {
+  width: 100%;
+  box-sizing: border-box;
+}
+
+.jp-FormGroup-contentCompact .jp-arrayFieldWrapper .jp-FormGroup-compactTitle {
+  padding-bottom: 7px;
+}
+
+.jp-FormGroup-contentCompact
+  .jp-objectFieldWrapper
+  .jp-objectFieldWrapper
+  .form-group {
+  padding: 2px 8px 2px var(--jp-private-settingeditor-modifier-indent);
+  margin-top: 2px;
+}
+
+.jp-FormGroup-contentCompact ul.error-detail {
+  margin-block-start: 0.5em;
+  margin-block-end: 0.5em;
+  padding-inline-start: 1em;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-SidePanel {
+  display: flex;
+  flex-direction: column;
+  min-width: var(--jp-sidebar-min-width);
+  overflow-y: auto;
+  color: var(--jp-ui-font-color1);
+  background: var(--jp-layout-color1);
+  font-size: var(--jp-ui-font-size1);
+}
+
+.jp-SidePanel-header {
+  flex: 0 0 auto;
+  display: flex;
+  border-bottom: var(--jp-border-width) solid var(--jp-border-color2);
+  font-size: var(--jp-ui-font-size0);
+  font-weight: 600;
+  letter-spacing: 1px;
+  margin: 0;
+  padding: 2px;
+  text-transform: uppercase;
+}
+
+.jp-SidePanel-toolbar {
+  flex: 0 0 auto;
+}
+
+.jp-SidePanel-content {
+  flex: 1 1 auto;
+}
+
+.jp-SidePanel-toolbar,
+.jp-AccordionPanel-toolbar {
+  height: var(--jp-private-toolbar-height);
+}
+
+.jp-SidePanel-toolbar.jp-Toolbar-micro {
+  display: none;
+}
+
+.lm-AccordionPanel .jp-AccordionPanel-title {
+  box-sizing: border-box;
+  line-height: 25px;
+  margin: 0;
+  display: flex;
+  align-items: center;
+  background: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  font-size: var(--jp-ui-font-size0);
+}
+
+.jp-AccordionPanel-title {
+  cursor: pointer;
+  user-select: none;
+  -moz-user-select: none;
+  -webkit-user-select: none;
+  text-transform: uppercase;
+}
+
+.lm-AccordionPanel[data-orientation='horizontal'] > .jp-AccordionPanel-title {
+  /* Title is rotated for horizontal accordion panel using CSS */
+  display: block;
+  transform-origin: top left;
+  transform: rotate(-90deg) translate(-100%);
+}
+
+.jp-AccordionPanel-title .lm-AccordionPanel-titleLabel {
+  user-select: none;
+  text-overflow: ellipsis;
+  white-space: nowrap;
+  overflow: hidden;
+}
+
+.jp-AccordionPanel-title .lm-AccordionPanel-titleCollapser {
+  transform: rotate(-90deg);
+  margin: auto 0;
+  height: 16px;
+}
+
+.jp-AccordionPanel-title.lm-mod-expanded .lm-AccordionPanel-titleCollapser {
+  transform: rotate(0deg);
+}
+
+.lm-AccordionPanel .jp-AccordionPanel-toolbar {
+  background: none;
+  box-shadow: none;
+  border: none;
+  margin-left: auto;
+}
+
+.lm-AccordionPanel .lm-SplitPanel-handle:hover {
+  background: var(--jp-layout-color3);
+}
+
+.jp-text-truncated {
+  overflow: hidden;
+  text-overflow: ellipsis;
+  white-space: nowrap;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Spinner {
+  position: absolute;
+  display: flex;
+  justify-content: center;
+  align-items: center;
+  z-index: 10;
+  left: 0;
+  top: 0;
+  width: 100%;
+  height: 100%;
+  background: var(--jp-layout-color0);
+  outline: none;
+}
+
+.jp-SpinnerContent {
+  font-size: 10px;
+  margin: 50px auto;
+  text-indent: -9999em;
+  width: 3em;
+  height: 3em;
+  border-radius: 50%;
+  background: var(--jp-brand-color3);
+  background: linear-gradient(
+    to right,
+    #f37626 10%,
+    rgba(255, 255, 255, 0) 42%
+  );
+  position: relative;
+  animation: load3 1s infinite linear, fadeIn 1s;
+}
+
+.jp-SpinnerContent::before {
+  width: 50%;
+  height: 50%;
+  background: #f37626;
+  border-radius: 100% 0 0;
+  position: absolute;
+  top: 0;
+  left: 0;
+  content: '';
+}
+
+.jp-SpinnerContent::after {
+  background: var(--jp-layout-color0);
+  width: 75%;
+  height: 75%;
+  border-radius: 50%;
+  content: '';
+  margin: auto;
+  position: absolute;
+  top: 0;
+  left: 0;
+  bottom: 0;
+  right: 0;
+}
+
+@keyframes fadeIn {
+  0% {
+    opacity: 0;
+  }
+
+  100% {
+    opacity: 1;
+  }
+}
+
+@keyframes load3 {
+  0% {
+    transform: rotate(0deg);
+  }
+
+  100% {
+    transform: rotate(360deg);
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+button.jp-mod-styled {
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color0);
+  border: none;
+  box-sizing: border-box;
+  text-align: center;
+  line-height: 32px;
+  height: 32px;
+  padding: 0 12px;
+  letter-spacing: 0.8px;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+}
+
+input.jp-mod-styled {
+  background: var(--jp-input-background);
+  height: 28px;
+  box-sizing: border-box;
+  border: var(--jp-border-width) solid var(--jp-border-color1);
+  padding-left: 7px;
+  padding-right: 7px;
+  font-size: var(--jp-ui-font-size2);
+  color: var(--jp-ui-font-color0);
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+}
+
+input[type='checkbox'].jp-mod-styled {
+  appearance: checkbox;
+  -webkit-appearance: checkbox;
+  -moz-appearance: checkbox;
+  height: auto;
+}
+
+input.jp-mod-styled:focus {
+  border: var(--jp-border-width) solid var(--md-blue-500);
+  box-shadow: inset 0 0 4px var(--md-blue-300);
+}
+
+.jp-select-wrapper {
+  display: flex;
+  position: relative;
+  flex-direction: column;
+  padding: 1px;
+  background-color: var(--jp-layout-color1);
+  box-sizing: border-box;
+  margin-bottom: 12px;
+}
+
+.jp-select-wrapper:not(.multiple) {
+  height: 28px;
+}
+
+.jp-select-wrapper.jp-mod-focused select.jp-mod-styled {
+  border: var(--jp-border-width) solid var(--jp-input-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+  background-color: var(--jp-input-active-background);
+}
+
+select.jp-mod-styled:hover {
+  cursor: pointer;
+  color: var(--jp-ui-font-color0);
+  background-color: var(--jp-input-hover-background);
+  box-shadow: inset 0 0 1px rgba(0, 0, 0, 0.5);
+}
+
+select.jp-mod-styled {
+  flex: 1 1 auto;
+  width: 100%;
+  font-size: var(--jp-ui-font-size2);
+  background: var(--jp-input-background);
+  color: var(--jp-ui-font-color0);
+  padding: 0 25px 0 8px;
+  border: var(--jp-border-width) solid var(--jp-input-border-color);
+  border-radius: 0;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+}
+
+select.jp-mod-styled:not([multiple]) {
+  height: 32px;
+}
+
+select.jp-mod-styled[multiple] {
+  max-height: 200px;
+  overflow-y: auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-switch {
+  display: flex;
+  align-items: center;
+  padding-left: 4px;
+  padding-right: 4px;
+  font-size: var(--jp-ui-font-size1);
+  background-color: transparent;
+  color: var(--jp-ui-font-color1);
+  border: none;
+  height: 20px;
+}
+
+.jp-switch:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-switch-label {
+  margin-right: 5px;
+  font-family: var(--jp-ui-font-family);
+}
+
+.jp-switch-track {
+  cursor: pointer;
+  background-color: var(--jp-switch-color, var(--jp-border-color1));
+  -webkit-transition: 0.4s;
+  transition: 0.4s;
+  border-radius: 34px;
+  height: 16px;
+  width: 35px;
+  position: relative;
+}
+
+.jp-switch-track::before {
+  content: '';
+  position: absolute;
+  height: 10px;
+  width: 10px;
+  margin: 3px;
+  left: 0;
+  background-color: var(--jp-ui-inverse-font-color1);
+  -webkit-transition: 0.4s;
+  transition: 0.4s;
+  border-radius: 50%;
+}
+
+.jp-switch[aria-checked='true'] .jp-switch-track {
+  background-color: var(--jp-switch-true-position-color, var(--jp-warn-color0));
+}
+
+.jp-switch[aria-checked='true'] .jp-switch-track::before {
+  /* track width (35) - margins (3 + 3) - thumb width (10) */
+  left: 19px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-toolbar-height: calc(
+    28px + var(--jp-border-width)
+  ); /* leave 28px for content */
+}
+
+.jp-Toolbar {
+  color: var(--jp-ui-font-color1);
+  flex: 0 0 auto;
+  display: flex;
+  flex-direction: row;
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  background: var(--jp-toolbar-background);
+  min-height: var(--jp-toolbar-micro-height);
+  padding: 2px;
+  z-index: 8;
+  overflow-x: hidden;
+}
+
+/* Toolbar items */
+
+.jp-Toolbar > .jp-Toolbar-item.jp-Toolbar-spacer {
+  flex-grow: 1;
+  flex-shrink: 1;
+}
+
+.jp-Toolbar-item.jp-Toolbar-kernelStatus {
+  display: inline-block;
+  width: 32px;
+  background-repeat: no-repeat;
+  background-position: center;
+  background-size: 16px;
+}
+
+.jp-Toolbar > .jp-Toolbar-item {
+  flex: 0 0 auto;
+  display: flex;
+  padding-left: 1px;
+  padding-right: 1px;
+  font-size: var(--jp-ui-font-size1);
+  line-height: var(--jp-private-toolbar-height);
+  height: 100%;
+}
+
+/* Toolbar buttons */
+
+/* This is the div we use to wrap the react component into a Widget */
+div.jp-ToolbarButton {
+  color: transparent;
+  border: none;
+  box-sizing: border-box;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+  padding: 0;
+  margin: 0;
+}
+
+button.jp-ToolbarButtonComponent {
+  background: var(--jp-layout-color1);
+  border: none;
+  box-sizing: border-box;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+  padding: 0 6px;
+  margin: 0;
+  height: 24px;
+  border-radius: var(--jp-border-radius);
+  display: flex;
+  align-items: center;
+  text-align: center;
+  font-size: 14px;
+  min-width: unset;
+  min-height: unset;
+}
+
+button.jp-ToolbarButtonComponent:disabled {
+  opacity: 0.4;
+}
+
+button.jp-ToolbarButtonComponent > span {
+  padding: 0;
+  flex: 0 0 auto;
+}
+
+button.jp-ToolbarButtonComponent .jp-ToolbarButtonComponent-label {
+  font-size: var(--jp-ui-font-size1);
+  line-height: 100%;
+  padding-left: 2px;
+  color: var(--jp-ui-font-color1);
+  font-family: var(--jp-ui-font-family);
+}
+
+#jp-main-dock-panel[data-mode='single-document']
+  .jp-MainAreaWidget
+  > .jp-Toolbar.jp-Toolbar-micro {
+  padding: 0;
+  min-height: 0;
+}
+
+#jp-main-dock-panel[data-mode='single-document']
+  .jp-MainAreaWidget
+  > .jp-Toolbar {
+  border: none;
+  box-shadow: none;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-WindowedPanel-outer {
+  position: relative;
+  overflow-y: auto;
+}
+
+.jp-WindowedPanel-inner {
+  position: relative;
+}
+
+.jp-WindowedPanel-window {
+  position: absolute;
+  left: 0;
+  right: 0;
+  overflow: visible;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/* Sibling imports */
+
+body {
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+}
+
+/* Disable native link decoration styles everywhere outside of dialog boxes */
+a {
+  text-decoration: unset;
+  color: unset;
+}
+
+a:hover {
+  text-decoration: unset;
+  color: unset;
+}
+
+/* Accessibility for links inside dialog box text */
+.jp-Dialog-content a {
+  text-decoration: revert;
+  color: var(--jp-content-link-color);
+}
+
+.jp-Dialog-content a:hover {
+  text-decoration: revert;
+}
+
+/* Styles for ui-components */
+.jp-Button {
+  color: var(--jp-ui-font-color2);
+  border-radius: var(--jp-border-radius);
+  padding: 0 12px;
+  font-size: var(--jp-ui-font-size1);
+
+  /* Copy from blueprint 3 */
+  display: inline-flex;
+  flex-direction: row;
+  border: none;
+  cursor: pointer;
+  align-items: center;
+  justify-content: center;
+  text-align: left;
+  vertical-align: middle;
+  min-height: 30px;
+  min-width: 30px;
+}
+
+.jp-Button:disabled {
+  cursor: not-allowed;
+}
+
+.jp-Button:empty {
+  padding: 0 !important;
+}
+
+.jp-Button.jp-mod-small {
+  min-height: 24px;
+  min-width: 24px;
+  font-size: 12px;
+  padding: 0 7px;
+}
+
+/* Use our own theme for hover styles */
+.jp-Button.jp-mod-minimal:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-Button.jp-mod-minimal {
+  background: none;
+}
+
+.jp-InputGroup {
+  display: block;
+  position: relative;
+}
+
+.jp-InputGroup input {
+  box-sizing: border-box;
+  border: none;
+  border-radius: 0;
+  background-color: transparent;
+  color: var(--jp-ui-font-color0);
+  box-shadow: inset 0 0 0 var(--jp-border-width) var(--jp-input-border-color);
+  padding-bottom: 0;
+  padding-top: 0;
+  padding-left: 10px;
+  padding-right: 28px;
+  position: relative;
+  width: 100%;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+  appearance: none;
+  font-size: 14px;
+  font-weight: 400;
+  height: 30px;
+  line-height: 30px;
+  outline: none;
+  vertical-align: middle;
+}
+
+.jp-InputGroup input:focus {
+  box-shadow: inset 0 0 0 var(--jp-border-width)
+      var(--jp-input-active-box-shadow-color),
+    inset 0 0 0 3px var(--jp-input-active-box-shadow-color);
+}
+
+.jp-InputGroup input:disabled {
+  cursor: not-allowed;
+  resize: block;
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-InputGroup input:disabled ~ span {
+  cursor: not-allowed;
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-InputGroup input::placeholder,
+input::placeholder {
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-InputGroupAction {
+  position: absolute;
+  bottom: 1px;
+  right: 0;
+  padding: 6px;
+}
+
+.jp-HTMLSelect.jp-DefaultStyle select {
+  background-color: initial;
+  border: none;
+  border-radius: 0;
+  box-shadow: none;
+  color: var(--jp-ui-font-color0);
+  display: block;
+  font-size: var(--jp-ui-font-size1);
+  font-family: var(--jp-ui-font-family);
+  height: 24px;
+  line-height: 14px;
+  padding: 0 25px 0 10px;
+  text-align: left;
+  -moz-appearance: none;
+  -webkit-appearance: none;
+}
+
+.jp-HTMLSelect.jp-DefaultStyle select:disabled {
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color2);
+  cursor: not-allowed;
+  resize: block;
+}
+
+.jp-HTMLSelect.jp-DefaultStyle select:disabled ~ span {
+  cursor: not-allowed;
+}
+
+/* Use our own theme for hover and option styles */
+/* stylelint-disable-next-line selector-max-type */
+.jp-HTMLSelect.jp-DefaultStyle select:hover,
+.jp-HTMLSelect.jp-DefaultStyle select > option {
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color0);
+}
+
+select {
+  box-sizing: border-box;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Styles
+|----------------------------------------------------------------------------*/
+
+.jp-StatusBar-Widget {
+  display: flex;
+  align-items: center;
+  background: var(--jp-layout-color2);
+  min-height: var(--jp-statusbar-height);
+  justify-content: space-between;
+  padding: 0 10px;
+}
+
+.jp-StatusBar-Left {
+  display: flex;
+  align-items: center;
+  flex-direction: row;
+}
+
+.jp-StatusBar-Middle {
+  display: flex;
+  align-items: center;
+}
+
+.jp-StatusBar-Right {
+  display: flex;
+  align-items: center;
+  flex-direction: row-reverse;
+}
+
+.jp-StatusBar-Item {
+  max-height: var(--jp-statusbar-height);
+  margin: 0 2px;
+  height: var(--jp-statusbar-height);
+  white-space: nowrap;
+  text-overflow: ellipsis;
+  color: var(--jp-ui-font-color1);
+  padding: 0 6px;
+}
+
+.jp-mod-highlighted:hover {
+  background-color: var(--jp-layout-color3);
+}
+
+.jp-mod-clicked {
+  background-color: var(--jp-brand-color1);
+}
+
+.jp-mod-clicked:hover {
+  background-color: var(--jp-brand-color0);
+}
+
+.jp-mod-clicked .jp-StatusBar-TextItem {
+  color: var(--jp-ui-inverse-font-color1);
+}
+
+.jp-StatusBar-HoverItem {
+  box-shadow: '0px 4px 4px rgba(0, 0, 0, 0.25)';
+}
+
+.jp-StatusBar-TextItem {
+  font-size: var(--jp-ui-font-size1);
+  font-family: var(--jp-ui-font-family);
+  line-height: 24px;
+  color: var(--jp-ui-font-color1);
+}
+
+.jp-StatusBar-GroupItem {
+  display: flex;
+  align-items: center;
+  flex-direction: row;
+}
+
+.jp-Statusbar-ProgressCircle svg {
+  display: block;
+  margin: 0 auto;
+  width: 16px;
+  height: 24px;
+  align-self: normal;
+}
+
+.jp-Statusbar-ProgressCircle path {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-Statusbar-ProgressBar-progress-bar {
+  height: 10px;
+  width: 100px;
+  border: solid 0.25px var(--jp-brand-color2);
+  border-radius: 3px;
+  overflow: hidden;
+  align-self: center;
+}
+
+.jp-Statusbar-ProgressBar-progress-bar > div {
+  background-color: var(--jp-brand-color2);
+  background-image: linear-gradient(
+    -45deg,
+    rgba(255, 255, 255, 0.2) 25%,
+    transparent 25%,
+    transparent 50%,
+    rgba(255, 255, 255, 0.2) 50%,
+    rgba(255, 255, 255, 0.2) 75%,
+    transparent 75%,
+    transparent
+  );
+  background-size: 40px 40px;
+  float: left;
+  width: 0%;
+  height: 100%;
+  font-size: 12px;
+  line-height: 14px;
+  color: #fff;
+  text-align: center;
+  animation: jp-Statusbar-ExecutionTime-progress-bar 2s linear infinite;
+}
+
+.jp-Statusbar-ProgressBar-progress-bar p {
+  color: var(--jp-ui-font-color1);
+  font-family: var(--jp-ui-font-family);
+  font-size: var(--jp-ui-font-size1);
+  line-height: 10px;
+  width: 100px;
+}
+
+@keyframes jp-Statusbar-ExecutionTime-progress-bar {
+  0% {
+    background-position: 0 0;
+  }
+
+  100% {
+    background-position: 40px 40px;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-commandpalette-search-height: 28px;
+}
+
+/*-----------------------------------------------------------------------------
+| Overall styles
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette {
+  padding-bottom: 0;
+  color: var(--jp-ui-font-color1);
+  background: var(--jp-layout-color1);
+
+  /* This is needed so that all font sizing of children done in ems is
+   * relative to this base size */
+  font-size: var(--jp-ui-font-size1);
+}
+
+/*-----------------------------------------------------------------------------
+| Modal variant
+|----------------------------------------------------------------------------*/
+
+.jp-ModalCommandPalette {
+  position: absolute;
+  z-index: 10000;
+  top: 38px;
+  left: 30%;
+  margin: 0;
+  padding: 4px;
+  width: 40%;
+  box-shadow: var(--jp-elevation-z4);
+  border-radius: 4px;
+  background: var(--jp-layout-color0);
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette {
+  max-height: 40vh;
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette .lm-close-icon::after {
+  display: none;
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette .lm-CommandPalette-header {
+  display: none;
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette .lm-CommandPalette-item {
+  margin-left: 4px;
+  margin-right: 4px;
+}
+
+.jp-ModalCommandPalette
+  .lm-CommandPalette
+  .lm-CommandPalette-item.lm-mod-disabled {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Search
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette-search {
+  padding: 4px;
+  background-color: var(--jp-layout-color1);
+  z-index: 2;
+}
+
+.lm-CommandPalette-wrapper {
+  overflow: overlay;
+  padding: 0 9px;
+  background-color: var(--jp-input-active-background);
+  height: 30px;
+  box-shadow: inset 0 0 0 var(--jp-border-width) var(--jp-input-border-color);
+}
+
+.lm-CommandPalette.lm-mod-focused .lm-CommandPalette-wrapper {
+  box-shadow: inset 0 0 0 1px var(--jp-input-active-box-shadow-color),
+    inset 0 0 0 3px var(--jp-input-active-box-shadow-color);
+}
+
+.jp-SearchIconGroup {
+  color: white;
+  background-color: var(--jp-brand-color1);
+  position: absolute;
+  top: 4px;
+  right: 4px;
+  padding: 5px 5px 1px;
+}
+
+.jp-SearchIconGroup svg {
+  height: 20px;
+  width: 20px;
+}
+
+.jp-SearchIconGroup .jp-icon3[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.lm-CommandPalette-input {
+  background: transparent;
+  width: calc(100% - 18px);
+  float: left;
+  border: none;
+  outline: none;
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color0);
+  line-height: var(--jp-private-commandpalette-search-height);
+}
+
+.lm-CommandPalette-input::-webkit-input-placeholder,
+.lm-CommandPalette-input::-moz-placeholder,
+.lm-CommandPalette-input:-ms-input-placeholder {
+  color: var(--jp-ui-font-color2);
+  font-size: var(--jp-ui-font-size1);
+}
+
+/*-----------------------------------------------------------------------------
+| Results
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette-header:first-child {
+  margin-top: 0;
+}
+
+.lm-CommandPalette-header {
+  border-bottom: solid var(--jp-border-width) var(--jp-border-color2);
+  color: var(--jp-ui-font-color1);
+  cursor: pointer;
+  display: flex;
+  font-size: var(--jp-ui-font-size0);
+  font-weight: 600;
+  letter-spacing: 1px;
+  margin-top: 8px;
+  padding: 8px 0 8px 12px;
+  text-transform: uppercase;
+}
+
+.lm-CommandPalette-header.lm-mod-active {
+  background: var(--jp-layout-color2);
+}
+
+.lm-CommandPalette-header > mark {
+  background-color: transparent;
+  font-weight: bold;
+  color: var(--jp-ui-font-color1);
+}
+
+.lm-CommandPalette-item {
+  padding: 4px 12px 4px 4px;
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  font-weight: 400;
+  display: flex;
+}
+
+.lm-CommandPalette-item.lm-mod-disabled {
+  color: var(--jp-ui-font-color2);
+}
+
+.lm-CommandPalette-item.lm-mod-active {
+  color: var(--jp-ui-inverse-font-color1);
+  background: var(--jp-brand-color1);
+}
+
+.lm-CommandPalette-item.lm-mod-active .lm-CommandPalette-itemLabel > mark {
+  color: var(--jp-ui-inverse-font-color0);
+}
+
+.lm-CommandPalette-item.lm-mod-active .jp-icon-selectable[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.lm-CommandPalette-item.lm-mod-active:hover:not(.lm-mod-disabled) {
+  color: var(--jp-ui-inverse-font-color1);
+  background: var(--jp-brand-color1);
+}
+
+.lm-CommandPalette-item:hover:not(.lm-mod-active):not(.lm-mod-disabled) {
+  background: var(--jp-layout-color2);
+}
+
+.lm-CommandPalette-itemContent {
+  overflow: hidden;
+}
+
+.lm-CommandPalette-itemLabel > mark {
+  color: var(--jp-ui-font-color0);
+  background-color: transparent;
+  font-weight: bold;
+}
+
+.lm-CommandPalette-item.lm-mod-disabled mark {
+  color: var(--jp-ui-font-color2);
+}
+
+.lm-CommandPalette-item .lm-CommandPalette-itemIcon {
+  margin: 0 4px 0 0;
+  position: relative;
+  width: 16px;
+  top: 2px;
+  flex: 0 0 auto;
+}
+
+.lm-CommandPalette-item.lm-mod-disabled .lm-CommandPalette-itemIcon {
+  opacity: 0.6;
+}
+
+.lm-CommandPalette-item .lm-CommandPalette-itemShortcut {
+  flex: 0 0 auto;
+}
+
+.lm-CommandPalette-itemCaption {
+  display: none;
+}
+
+.lm-CommandPalette-content {
+  background-color: var(--jp-layout-color1);
+}
+
+.lm-CommandPalette-content:empty::after {
+  content: 'No results';
+  margin: auto;
+  margin-top: 20px;
+  width: 100px;
+  display: block;
+  font-size: var(--jp-ui-font-size2);
+  font-family: var(--jp-ui-font-family);
+  font-weight: lighter;
+}
+
+.lm-CommandPalette-emptyMessage {
+  text-align: center;
+  margin-top: 24px;
+  line-height: 1.32;
+  padding: 0 8px;
+  color: var(--jp-content-font-color3);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Dialog {
+  position: absolute;
+  z-index: 10000;
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  justify-content: center;
+  top: 0;
+  left: 0;
+  margin: 0;
+  padding: 0;
+  width: 100%;
+  height: 100%;
+  background: var(--jp-dialog-background);
+}
+
+.jp-Dialog-content {
+  display: flex;
+  flex-direction: column;
+  margin-left: auto;
+  margin-right: auto;
+  background: var(--jp-layout-color1);
+  padding: 24px 24px 12px;
+  min-width: 300px;
+  min-height: 150px;
+  max-width: 1000px;
+  max-height: 500px;
+  box-sizing: border-box;
+  box-shadow: var(--jp-elevation-z20);
+  word-wrap: break-word;
+  border-radius: var(--jp-border-radius);
+
+  /* This is needed so that all font sizing of children done in ems is
+   * relative to this base size */
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color1);
+  resize: both;
+}
+
+.jp-Dialog-content.jp-Dialog-content-small {
+  max-width: 500px;
+}
+
+.jp-Dialog-button {
+  overflow: visible;
+}
+
+button.jp-Dialog-button:focus {
+  outline: 1px solid var(--jp-brand-color1);
+  outline-offset: 4px;
+  -moz-outline-radius: 0;
+}
+
+button.jp-Dialog-button:focus::-moz-focus-inner {
+  border: 0;
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-accept:focus,
+button.jp-Dialog-button.jp-mod-styled.jp-mod-warn:focus,
+button.jp-Dialog-button.jp-mod-styled.jp-mod-reject:focus {
+  outline-offset: 4px;
+  -moz-outline-radius: 0;
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-accept:focus {
+  outline: 1px solid var(--jp-accept-color-normal, var(--jp-brand-color1));
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-warn:focus {
+  outline: 1px solid var(--jp-warn-color-normal, var(--jp-error-color1));
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-reject:focus {
+  outline: 1px solid var(--jp-reject-color-normal, var(--md-grey-600));
+}
+
+button.jp-Dialog-close-button {
+  padding: 0;
+  height: 100%;
+  min-width: unset;
+  min-height: unset;
+}
+
+.jp-Dialog-header {
+  display: flex;
+  justify-content: space-between;
+  flex: 0 0 auto;
+  padding-bottom: 12px;
+  font-size: var(--jp-ui-font-size3);
+  font-weight: 400;
+  color: var(--jp-ui-font-color1);
+}
+
+.jp-Dialog-body {
+  display: flex;
+  flex-direction: column;
+  flex: 1 1 auto;
+  font-size: var(--jp-ui-font-size1);
+  background: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  overflow: auto;
+}
+
+.jp-Dialog-footer {
+  display: flex;
+  flex-direction: row;
+  justify-content: flex-end;
+  align-items: center;
+  flex: 0 0 auto;
+  margin-left: -12px;
+  margin-right: -12px;
+  padding: 12px;
+}
+
+.jp-Dialog-checkbox {
+  padding-right: 5px;
+}
+
+.jp-Dialog-checkbox > input:focus-visible {
+  outline: 1px solid var(--jp-input-active-border-color);
+  outline-offset: 1px;
+}
+
+.jp-Dialog-spacer {
+  flex: 1 1 auto;
+}
+
+.jp-Dialog-title {
+  overflow: hidden;
+  white-space: nowrap;
+  text-overflow: ellipsis;
+}
+
+.jp-Dialog-body > .jp-select-wrapper {
+  width: 100%;
+}
+
+.jp-Dialog-body > button {
+  padding: 0 16px;
+}
+
+.jp-Dialog-body > label {
+  line-height: 1.4;
+  color: var(--jp-ui-font-color0);
+}
+
+.jp-Dialog-button.jp-mod-styled:not(:last-child) {
+  margin-right: 12px;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-Input-Boolean-Dialog {
+  flex-direction: row-reverse;
+  align-items: end;
+  width: 100%;
+}
+
+.jp-Input-Boolean-Dialog > label {
+  flex: 1 1 auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-MainAreaWidget > :focus {
+  outline: none;
+}
+
+.jp-MainAreaWidget .jp-MainAreaWidget-error {
+  padding: 6px;
+}
+
+.jp-MainAreaWidget .jp-MainAreaWidget-error > pre {
+  width: auto;
+  padding: 10px;
+  background: var(--jp-error-color3);
+  border: var(--jp-border-width) solid var(--jp-error-color1);
+  border-radius: var(--jp-border-radius);
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  white-space: pre-wrap;
+  word-wrap: break-word;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/**
+ * google-material-color v1.2.6
+ * https://github.com/danlevan/google-material-color
+ */
+:root {
+  --md-red-50: #ffebee;
+  --md-red-100: #ffcdd2;
+  --md-red-200: #ef9a9a;
+  --md-red-300: #e57373;
+  --md-red-400: #ef5350;
+  --md-red-500: #f44336;
+  --md-red-600: #e53935;
+  --md-red-700: #d32f2f;
+  --md-red-800: #c62828;
+  --md-red-900: #b71c1c;
+  --md-red-A100: #ff8a80;
+  --md-red-A200: #ff5252;
+  --md-red-A400: #ff1744;
+  --md-red-A700: #d50000;
+  --md-pink-50: #fce4ec;
+  --md-pink-100: #f8bbd0;
+  --md-pink-200: #f48fb1;
+  --md-pink-300: #f06292;
+  --md-pink-400: #ec407a;
+  --md-pink-500: #e91e63;
+  --md-pink-600: #d81b60;
+  --md-pink-700: #c2185b;
+  --md-pink-800: #ad1457;
+  --md-pink-900: #880e4f;
+  --md-pink-A100: #ff80ab;
+  --md-pink-A200: #ff4081;
+  --md-pink-A400: #f50057;
+  --md-pink-A700: #c51162;
+  --md-purple-50: #f3e5f5;
+  --md-purple-100: #e1bee7;
+  --md-purple-200: #ce93d8;
+  --md-purple-300: #ba68c8;
+  --md-purple-400: #ab47bc;
+  --md-purple-500: #9c27b0;
+  --md-purple-600: #8e24aa;
+  --md-purple-700: #7b1fa2;
+  --md-purple-800: #6a1b9a;
+  --md-purple-900: #4a148c;
+  --md-purple-A100: #ea80fc;
+  --md-purple-A200: #e040fb;
+  --md-purple-A400: #d500f9;
+  --md-purple-A700: #a0f;
+  --md-deep-purple-50: #ede7f6;
+  --md-deep-purple-100: #d1c4e9;
+  --md-deep-purple-200: #b39ddb;
+  --md-deep-purple-300: #9575cd;
+  --md-deep-purple-400: #7e57c2;
+  --md-deep-purple-500: #673ab7;
+  --md-deep-purple-600: #5e35b1;
+  --md-deep-purple-700: #512da8;
+  --md-deep-purple-800: #4527a0;
+  --md-deep-purple-900: #311b92;
+  --md-deep-purple-A100: #b388ff;
+  --md-deep-purple-A200: #7c4dff;
+  --md-deep-purple-A400: #651fff;
+  --md-deep-purple-A700: #6200ea;
+  --md-indigo-50: #e8eaf6;
+  --md-indigo-100: #c5cae9;
+  --md-indigo-200: #9fa8da;
+  --md-indigo-300: #7986cb;
+  --md-indigo-400: #5c6bc0;
+  --md-indigo-500: #3f51b5;
+  --md-indigo-600: #3949ab;
+  --md-indigo-700: #303f9f;
+  --md-indigo-800: #283593;
+  --md-indigo-900: #1a237e;
+  --md-indigo-A100: #8c9eff;
+  --md-indigo-A200: #536dfe;
+  --md-indigo-A400: #3d5afe;
+  --md-indigo-A700: #304ffe;
+  --md-blue-50: #e3f2fd;
+  --md-blue-100: #bbdefb;
+  --md-blue-200: #90caf9;
+  --md-blue-300: #64b5f6;
+  --md-blue-400: #42a5f5;
+  --md-blue-500: #2196f3;
+  --md-blue-600: #1e88e5;
+  --md-blue-700: #1976d2;
+  --md-blue-800: #1565c0;
+  --md-blue-900: #0d47a1;
+  --md-blue-A100: #82b1ff;
+  --md-blue-A200: #448aff;
+  --md-blue-A400: #2979ff;
+  --md-blue-A700: #2962ff;
+  --md-light-blue-50: #e1f5fe;
+  --md-light-blue-100: #b3e5fc;
+  --md-light-blue-200: #81d4fa;
+  --md-light-blue-300: #4fc3f7;
+  --md-light-blue-400: #29b6f6;
+  --md-light-blue-500: #03a9f4;
+  --md-light-blue-600: #039be5;
+  --md-light-blue-700: #0288d1;
+  --md-light-blue-800: #0277bd;
+  --md-light-blue-900: #01579b;
+  --md-light-blue-A100: #80d8ff;
+  --md-light-blue-A200: #40c4ff;
+  --md-light-blue-A400: #00b0ff;
+  --md-light-blue-A700: #0091ea;
+  --md-cyan-50: #e0f7fa;
+  --md-cyan-100: #b2ebf2;
+  --md-cyan-200: #80deea;
+  --md-cyan-300: #4dd0e1;
+  --md-cyan-400: #26c6da;
+  --md-cyan-500: #00bcd4;
+  --md-cyan-600: #00acc1;
+  --md-cyan-700: #0097a7;
+  --md-cyan-800: #00838f;
+  --md-cyan-900: #006064;
+  --md-cyan-A100: #84ffff;
+  --md-cyan-A200: #18ffff;
+  --md-cyan-A400: #00e5ff;
+  --md-cyan-A700: #00b8d4;
+  --md-teal-50: #e0f2f1;
+  --md-teal-100: #b2dfdb;
+  --md-teal-200: #80cbc4;
+  --md-teal-300: #4db6ac;
+  --md-teal-400: #26a69a;
+  --md-teal-500: #009688;
+  --md-teal-600: #00897b;
+  --md-teal-700: #00796b;
+  --md-teal-800: #00695c;
+  --md-teal-900: #004d40;
+  --md-teal-A100: #a7ffeb;
+  --md-teal-A200: #64ffda;
+  --md-teal-A400: #1de9b6;
+  --md-teal-A700: #00bfa5;
+  --md-green-50: #e8f5e9;
+  --md-green-100: #c8e6c9;
+  --md-green-200: #a5d6a7;
+  --md-green-300: #81c784;
+  --md-green-400: #66bb6a;
+  --md-green-500: #4caf50;
+  --md-green-600: #43a047;
+  --md-green-700: #388e3c;
+  --md-green-800: #2e7d32;
+  --md-green-900: #1b5e20;
+  --md-green-A100: #b9f6ca;
+  --md-green-A200: #69f0ae;
+  --md-green-A400: #00e676;
+  --md-green-A700: #00c853;
+  --md-light-green-50: #f1f8e9;
+  --md-light-green-100: #dcedc8;
+  --md-light-green-200: #c5e1a5;
+  --md-light-green-300: #aed581;
+  --md-light-green-400: #9ccc65;
+  --md-light-green-500: #8bc34a;
+  --md-light-green-600: #7cb342;
+  --md-light-green-700: #689f38;
+  --md-light-green-800: #558b2f;
+  --md-light-green-900: #33691e;
+  --md-light-green-A100: #ccff90;
+  --md-light-green-A200: #b2ff59;
+  --md-light-green-A400: #76ff03;
+  --md-light-green-A700: #64dd17;
+  --md-lime-50: #f9fbe7;
+  --md-lime-100: #f0f4c3;
+  --md-lime-200: #e6ee9c;
+  --md-lime-300: #dce775;
+  --md-lime-400: #d4e157;
+  --md-lime-500: #cddc39;
+  --md-lime-600: #c0ca33;
+  --md-lime-700: #afb42b;
+  --md-lime-800: #9e9d24;
+  --md-lime-900: #827717;
+  --md-lime-A100: #f4ff81;
+  --md-lime-A200: #eeff41;
+  --md-lime-A400: #c6ff00;
+  --md-lime-A700: #aeea00;
+  --md-yellow-50: #fffde7;
+  --md-yellow-100: #fff9c4;
+  --md-yellow-200: #fff59d;
+  --md-yellow-300: #fff176;
+  --md-yellow-400: #ffee58;
+  --md-yellow-500: #ffeb3b;
+  --md-yellow-600: #fdd835;
+  --md-yellow-700: #fbc02d;
+  --md-yellow-800: #f9a825;
+  --md-yellow-900: #f57f17;
+  --md-yellow-A100: #ffff8d;
+  --md-yellow-A200: #ff0;
+  --md-yellow-A400: #ffea00;
+  --md-yellow-A700: #ffd600;
+  --md-amber-50: #fff8e1;
+  --md-amber-100: #ffecb3;
+  --md-amber-200: #ffe082;
+  --md-amber-300: #ffd54f;
+  --md-amber-400: #ffca28;
+  --md-amber-500: #ffc107;
+  --md-amber-600: #ffb300;
+  --md-amber-700: #ffa000;
+  --md-amber-800: #ff8f00;
+  --md-amber-900: #ff6f00;
+  --md-amber-A100: #ffe57f;
+  --md-amber-A200: #ffd740;
+  --md-amber-A400: #ffc400;
+  --md-amber-A700: #ffab00;
+  --md-orange-50: #fff3e0;
+  --md-orange-100: #ffe0b2;
+  --md-orange-200: #ffcc80;
+  --md-orange-300: #ffb74d;
+  --md-orange-400: #ffa726;
+  --md-orange-500: #ff9800;
+  --md-orange-600: #fb8c00;
+  --md-orange-700: #f57c00;
+  --md-orange-800: #ef6c00;
+  --md-orange-900: #e65100;
+  --md-orange-A100: #ffd180;
+  --md-orange-A200: #ffab40;
+  --md-orange-A400: #ff9100;
+  --md-orange-A700: #ff6d00;
+  --md-deep-orange-50: #fbe9e7;
+  --md-deep-orange-100: #ffccbc;
+  --md-deep-orange-200: #ffab91;
+  --md-deep-orange-300: #ff8a65;
+  --md-deep-orange-400: #ff7043;
+  --md-deep-orange-500: #ff5722;
+  --md-deep-orange-600: #f4511e;
+  --md-deep-orange-700: #e64a19;
+  --md-deep-orange-800: #d84315;
+  --md-deep-orange-900: #bf360c;
+  --md-deep-orange-A100: #ff9e80;
+  --md-deep-orange-A200: #ff6e40;
+  --md-deep-orange-A400: #ff3d00;
+  --md-deep-orange-A700: #dd2c00;
+  --md-brown-50: #efebe9;
+  --md-brown-100: #d7ccc8;
+  --md-brown-200: #bcaaa4;
+  --md-brown-300: #a1887f;
+  --md-brown-400: #8d6e63;
+  --md-brown-500: #795548;
+  --md-brown-600: #6d4c41;
+  --md-brown-700: #5d4037;
+  --md-brown-800: #4e342e;
+  --md-brown-900: #3e2723;
+  --md-grey-50: #fafafa;
+  --md-grey-100: #f5f5f5;
+  --md-grey-200: #eee;
+  --md-grey-300: #e0e0e0;
+  --md-grey-400: #bdbdbd;
+  --md-grey-500: #9e9e9e;
+  --md-grey-600: #757575;
+  --md-grey-700: #616161;
+  --md-grey-800: #424242;
+  --md-grey-900: #212121;
+  --md-blue-grey-50: #eceff1;
+  --md-blue-grey-100: #cfd8dc;
+  --md-blue-grey-200: #b0bec5;
+  --md-blue-grey-300: #90a4ae;
+  --md-blue-grey-400: #78909c;
+  --md-blue-grey-500: #607d8b;
+  --md-blue-grey-600: #546e7a;
+  --md-blue-grey-700: #455a64;
+  --md-blue-grey-800: #37474f;
+  --md-blue-grey-900: #263238;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| RenderedText
+|----------------------------------------------------------------------------*/
+
+:root {
+  /* This is the padding value to fill the gaps between lines containing spans with background color. */
+  --jp-private-code-span-padding: calc(
+    (var(--jp-code-line-height) - 1) * var(--jp-code-font-size) / 2
+  );
+}
+
+.jp-RenderedText {
+  text-align: left;
+  padding-left: var(--jp-code-padding);
+  line-height: var(--jp-code-line-height);
+  font-family: var(--jp-code-font-family);
+}
+
+.jp-RenderedText pre,
+.jp-RenderedJavaScript pre,
+.jp-RenderedHTMLCommon pre {
+  color: var(--jp-content-font-color1);
+  font-size: var(--jp-code-font-size);
+  border: none;
+  margin: 0;
+  padding: 0;
+}
+
+.jp-RenderedText pre a:link {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+.jp-RenderedText pre a:hover {
+  text-decoration: underline;
+  color: var(--jp-content-link-color);
+}
+
+.jp-RenderedText pre a:visited {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+/* console foregrounds and backgrounds */
+.jp-RenderedText pre .ansi-black-fg {
+  color: #3e424d;
+}
+
+.jp-RenderedText pre .ansi-red-fg {
+  color: #e75c58;
+}
+
+.jp-RenderedText pre .ansi-green-fg {
+  color: #00a250;
+}
+
+.jp-RenderedText pre .ansi-yellow-fg {
+  color: #ddb62b;
+}
+
+.jp-RenderedText pre .ansi-blue-fg {
+  color: #208ffb;
+}
+
+.jp-RenderedText pre .ansi-magenta-fg {
+  color: #d160c4;
+}
+
+.jp-RenderedText pre .ansi-cyan-fg {
+  color: #60c6c8;
+}
+
+.jp-RenderedText pre .ansi-white-fg {
+  color: #c5c1b4;
+}
+
+.jp-RenderedText pre .ansi-black-bg {
+  background-color: #3e424d;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-red-bg {
+  background-color: #e75c58;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-green-bg {
+  background-color: #00a250;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-yellow-bg {
+  background-color: #ddb62b;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-blue-bg {
+  background-color: #208ffb;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-magenta-bg {
+  background-color: #d160c4;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-cyan-bg {
+  background-color: #60c6c8;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-white-bg {
+  background-color: #c5c1b4;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-black-intense-fg {
+  color: #282c36;
+}
+
+.jp-RenderedText pre .ansi-red-intense-fg {
+  color: #b22b31;
+}
+
+.jp-RenderedText pre .ansi-green-intense-fg {
+  color: #007427;
+}
+
+.jp-RenderedText pre .ansi-yellow-intense-fg {
+  color: #b27d12;
+}
+
+.jp-RenderedText pre .ansi-blue-intense-fg {
+  color: #0065ca;
+}
+
+.jp-RenderedText pre .ansi-magenta-intense-fg {
+  color: #a03196;
+}
+
+.jp-RenderedText pre .ansi-cyan-intense-fg {
+  color: #258f8f;
+}
+
+.jp-RenderedText pre .ansi-white-intense-fg {
+  color: #a1a6b2;
+}
+
+.jp-RenderedText pre .ansi-black-intense-bg {
+  background-color: #282c36;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-red-intense-bg {
+  background-color: #b22b31;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-green-intense-bg {
+  background-color: #007427;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-yellow-intense-bg {
+  background-color: #b27d12;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-blue-intense-bg {
+  background-color: #0065ca;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-magenta-intense-bg {
+  background-color: #a03196;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-cyan-intense-bg {
+  background-color: #258f8f;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-white-intense-bg {
+  background-color: #a1a6b2;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-default-inverse-fg {
+  color: var(--jp-ui-inverse-font-color0);
+}
+
+.jp-RenderedText pre .ansi-default-inverse-bg {
+  background-color: var(--jp-inverse-layout-color0);
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-bold {
+  font-weight: bold;
+}
+
+.jp-RenderedText pre .ansi-underline {
+  text-decoration: underline;
+}
+
+.jp-RenderedText[data-mime-type='application/vnd.jupyter.stderr'] {
+  background: var(--jp-rendermime-error-background);
+  padding-top: var(--jp-code-padding);
+}
+
+/*-----------------------------------------------------------------------------
+| RenderedLatex
+|----------------------------------------------------------------------------*/
+
+.jp-RenderedLatex {
+  color: var(--jp-content-font-color1);
+  font-size: var(--jp-content-font-size1);
+  line-height: var(--jp-content-line-height);
+}
+
+/* Left-justify outputs.*/
+.jp-OutputArea-output.jp-RenderedLatex {
+  padding: var(--jp-code-padding);
+  text-align: left;
+}
+
+/*-----------------------------------------------------------------------------
+| RenderedHTML
+|----------------------------------------------------------------------------*/
+
+.jp-RenderedHTMLCommon {
+  color: var(--jp-content-font-color1);
+  font-family: var(--jp-content-font-family);
+  font-size: var(--jp-content-font-size1);
+  line-height: var(--jp-content-line-height);
+
+  /* Give a bit more R padding on Markdown text to keep line lengths reasonable */
+  padding-right: 20px;
+}
+
+.jp-RenderedHTMLCommon em {
+  font-style: italic;
+}
+
+.jp-RenderedHTMLCommon strong {
+  font-weight: bold;
+}
+
+.jp-RenderedHTMLCommon u {
+  text-decoration: underline;
+}
+
+.jp-RenderedHTMLCommon a:link {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+.jp-RenderedHTMLCommon a:hover {
+  text-decoration: underline;
+  color: var(--jp-content-link-color);
+}
+
+.jp-RenderedHTMLCommon a:visited {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+/* Headings */
+
+.jp-RenderedHTMLCommon h1,
+.jp-RenderedHTMLCommon h2,
+.jp-RenderedHTMLCommon h3,
+.jp-RenderedHTMLCommon h4,
+.jp-RenderedHTMLCommon h5,
+.jp-RenderedHTMLCommon h6 {
+  line-height: var(--jp-content-heading-line-height);
+  font-weight: var(--jp-content-heading-font-weight);
+  font-style: normal;
+  margin: var(--jp-content-heading-margin-top) 0
+    var(--jp-content-heading-margin-bottom) 0;
+}
+
+.jp-RenderedHTMLCommon h1:first-child,
+.jp-RenderedHTMLCommon h2:first-child,
+.jp-RenderedHTMLCommon h3:first-child,
+.jp-RenderedHTMLCommon h4:first-child,
+.jp-RenderedHTMLCommon h5:first-child,
+.jp-RenderedHTMLCommon h6:first-child {
+  margin-top: calc(0.5 * var(--jp-content-heading-margin-top));
+}
+
+.jp-RenderedHTMLCommon h1:last-child,
+.jp-RenderedHTMLCommon h2:last-child,
+.jp-RenderedHTMLCommon h3:last-child,
+.jp-RenderedHTMLCommon h4:last-child,
+.jp-RenderedHTMLCommon h5:last-child,
+.jp-RenderedHTMLCommon h6:last-child {
+  margin-bottom: calc(0.5 * var(--jp-content-heading-margin-bottom));
+}
+
+.jp-RenderedHTMLCommon h1 {
+  font-size: var(--jp-content-font-size5);
+}
+
+.jp-RenderedHTMLCommon h2 {
+  font-size: var(--jp-content-font-size4);
+}
+
+.jp-RenderedHTMLCommon h3 {
+  font-size: var(--jp-content-font-size3);
+}
+
+.jp-RenderedHTMLCommon h4 {
+  font-size: var(--jp-content-font-size2);
+}
+
+.jp-RenderedHTMLCommon h5 {
+  font-size: var(--jp-content-font-size1);
+}
+
+.jp-RenderedHTMLCommon h6 {
+  font-size: var(--jp-content-font-size0);
+}
+
+/* Lists */
+
+/* stylelint-disable selector-max-type, selector-max-compound-selectors */
+
+.jp-RenderedHTMLCommon ul:not(.list-inline),
+.jp-RenderedHTMLCommon ol:not(.list-inline) {
+  padding-left: 2em;
+}
+
+.jp-RenderedHTMLCommon ul {
+  list-style: disc;
+}
+
+.jp-RenderedHTMLCommon ul ul {
+  list-style: square;
+}
+
+.jp-RenderedHTMLCommon ul ul ul {
+  list-style: circle;
+}
+
+.jp-RenderedHTMLCommon ol {
+  list-style: decimal;
+}
+
+.jp-RenderedHTMLCommon ol ol {
+  list-style: upper-alpha;
+}
+
+.jp-RenderedHTMLCommon ol ol ol {
+  list-style: lower-alpha;
+}
+
+.jp-RenderedHTMLCommon ol ol ol ol {
+  list-style: lower-roman;
+}
+
+.jp-RenderedHTMLCommon ol ol ol ol ol {
+  list-style: decimal;
+}
+
+.jp-RenderedHTMLCommon ol,
+.jp-RenderedHTMLCommon ul {
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon ul ul,
+.jp-RenderedHTMLCommon ul ol,
+.jp-RenderedHTMLCommon ol ul,
+.jp-RenderedHTMLCommon ol ol {
+  margin-bottom: 0;
+}
+
+/* stylelint-enable selector-max-type, selector-max-compound-selectors */
+
+.jp-RenderedHTMLCommon hr {
+  color: var(--jp-border-color2);
+  background-color: var(--jp-border-color1);
+  margin-top: 1em;
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon > pre {
+  margin: 1.5em 2em;
+}
+
+.jp-RenderedHTMLCommon pre,
+.jp-RenderedHTMLCommon code {
+  border: 0;
+  background-color: var(--jp-layout-color0);
+  color: var(--jp-content-font-color1);
+  font-family: var(--jp-code-font-family);
+  font-size: inherit;
+  line-height: var(--jp-code-line-height);
+  padding: 0;
+  white-space: pre-wrap;
+}
+
+.jp-RenderedHTMLCommon :not(pre) > code {
+  background-color: var(--jp-layout-color2);
+  padding: 1px 5px;
+}
+
+/* Tables */
+
+.jp-RenderedHTMLCommon table {
+  border-collapse: collapse;
+  border-spacing: 0;
+  border: none;
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  table-layout: fixed;
+  margin-left: auto;
+  margin-bottom: 1em;
+  margin-right: auto;
+}
+
+.jp-RenderedHTMLCommon thead {
+  border-bottom: var(--jp-border-width) solid var(--jp-border-color1);
+  vertical-align: bottom;
+}
+
+.jp-RenderedHTMLCommon td,
+.jp-RenderedHTMLCommon th,
+.jp-RenderedHTMLCommon tr {
+  vertical-align: middle;
+  padding: 0.5em;
+  line-height: normal;
+  white-space: normal;
+  max-width: none;
+  border: none;
+}
+
+.jp-RenderedMarkdown.jp-RenderedHTMLCommon td,
+.jp-RenderedMarkdown.jp-RenderedHTMLCommon th {
+  max-width: none;
+}
+
+:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon td,
+:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon th,
+:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon tr {
+  text-align: right;
+}
+
+.jp-RenderedHTMLCommon th {
+  font-weight: bold;
+}
+
+.jp-RenderedHTMLCommon tbody tr:nth-child(odd) {
+  background: var(--jp-layout-color0);
+}
+
+.jp-RenderedHTMLCommon tbody tr:nth-child(even) {
+  background: var(--jp-rendermime-table-row-background);
+}
+
+.jp-RenderedHTMLCommon tbody tr:hover {
+  background: var(--jp-rendermime-table-row-hover-background);
+}
+
+.jp-RenderedHTMLCommon p {
+  text-align: left;
+  margin: 0;
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon img {
+  -moz-force-broken-image-icon: 1;
+}
+
+/* Restrict to direct children as other images could be nested in other content. */
+.jp-RenderedHTMLCommon > img {
+  display: block;
+  margin-left: 0;
+  margin-right: 0;
+  margin-bottom: 1em;
+}
+
+/* Change color behind transparent images if they need it... */
+[data-jp-theme-light='false'] .jp-RenderedImage img.jp-needs-light-background {
+  background-color: var(--jp-inverse-layout-color1);
+}
+
+[data-jp-theme-light='true'] .jp-RenderedImage img.jp-needs-dark-background {
+  background-color: var(--jp-inverse-layout-color1);
+}
+
+.jp-RenderedHTMLCommon img,
+.jp-RenderedImage img,
+.jp-RenderedHTMLCommon svg,
+.jp-RenderedSVG svg {
+  max-width: 100%;
+  height: auto;
+}
+
+.jp-RenderedHTMLCommon img.jp-mod-unconfined,
+.jp-RenderedImage img.jp-mod-unconfined,
+.jp-RenderedHTMLCommon svg.jp-mod-unconfined,
+.jp-RenderedSVG svg.jp-mod-unconfined {
+  max-width: none;
+}
+
+.jp-RenderedHTMLCommon .alert {
+  padding: var(--jp-notebook-padding);
+  border: var(--jp-border-width) solid transparent;
+  border-radius: var(--jp-border-radius);
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon .alert-info {
+  color: var(--jp-info-color0);
+  background-color: var(--jp-info-color3);
+  border-color: var(--jp-info-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-info hr {
+  border-color: var(--jp-info-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-info > p:last-child,
+.jp-RenderedHTMLCommon .alert-info > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon .alert-warning {
+  color: var(--jp-warn-color0);
+  background-color: var(--jp-warn-color3);
+  border-color: var(--jp-warn-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-warning hr {
+  border-color: var(--jp-warn-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-warning > p:last-child,
+.jp-RenderedHTMLCommon .alert-warning > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon .alert-success {
+  color: var(--jp-success-color0);
+  background-color: var(--jp-success-color3);
+  border-color: var(--jp-success-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-success hr {
+  border-color: var(--jp-success-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-success > p:last-child,
+.jp-RenderedHTMLCommon .alert-success > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon .alert-danger {
+  color: var(--jp-error-color0);
+  background-color: var(--jp-error-color3);
+  border-color: var(--jp-error-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-danger hr {
+  border-color: var(--jp-error-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-danger > p:last-child,
+.jp-RenderedHTMLCommon .alert-danger > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon blockquote {
+  margin: 1em 2em;
+  padding: 0 1em;
+  border-left: 5px solid var(--jp-border-color2);
+}
+
+a.jp-InternalAnchorLink {
+  visibility: hidden;
+  margin-left: 8px;
+  color: var(--md-blue-800);
+}
+
+h1:hover .jp-InternalAnchorLink,
+h2:hover .jp-InternalAnchorLink,
+h3:hover .jp-InternalAnchorLink,
+h4:hover .jp-InternalAnchorLink,
+h5:hover .jp-InternalAnchorLink,
+h6:hover .jp-InternalAnchorLink {
+  visibility: visible;
+}
+
+.jp-RenderedHTMLCommon kbd {
+  background-color: var(--jp-rendermime-table-row-background);
+  border: 1px solid var(--jp-border-color0);
+  border-bottom-color: var(--jp-border-color2);
+  border-radius: 3px;
+  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.25);
+  display: inline-block;
+  font-size: var(--jp-ui-font-size0);
+  line-height: 1em;
+  padding: 0.2em 0.5em;
+}
+
+/* Most direct children of .jp-RenderedHTMLCommon have a margin-bottom of 1.0.
+ * At the bottom of cells this is a bit too much as there is also spacing
+ * between cells. Going all the way to 0 gets too tight between markdown and
+ * code cells.
+ */
+.jp-RenderedHTMLCommon > *:last-child {
+  margin-bottom: 0.5em;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-cursor-backdrop {
+  position: fixed;
+  width: 200px;
+  height: 200px;
+  margin-top: -100px;
+  margin-left: -100px;
+  will-change: transform;
+  z-index: 100;
+}
+
+.lm-mod-drag-image {
+  will-change: transform;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-lineFormSearch {
+  padding: 4px 12px;
+  background-color: var(--jp-layout-color2);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  z-index: 2;
+  font-size: var(--jp-ui-font-size1);
+}
+
+.jp-lineFormCaption {
+  font-size: var(--jp-ui-font-size0);
+  line-height: var(--jp-ui-font-size1);
+  margin-top: 4px;
+  color: var(--jp-ui-font-color0);
+}
+
+.jp-baseLineForm {
+  border: none;
+  border-radius: 0;
+  position: absolute;
+  background-size: 16px;
+  background-repeat: no-repeat;
+  background-position: center;
+  outline: none;
+}
+
+.jp-lineFormButtonContainer {
+  top: 4px;
+  right: 8px;
+  height: 24px;
+  padding: 0 12px;
+  width: 12px;
+}
+
+.jp-lineFormButtonIcon {
+  top: 0;
+  right: 0;
+  background-color: var(--jp-brand-color1);
+  height: 100%;
+  width: 100%;
+  box-sizing: border-box;
+  padding: 4px 6px;
+}
+
+.jp-lineFormButton {
+  top: 0;
+  right: 0;
+  background-color: transparent;
+  height: 100%;
+  width: 100%;
+  box-sizing: border-box;
+}
+
+.jp-lineFormWrapper {
+  overflow: hidden;
+  padding: 0 8px;
+  border: 1px solid var(--jp-border-color0);
+  background-color: var(--jp-input-active-background);
+  height: 22px;
+}
+
+.jp-lineFormWrapperFocusWithin {
+  border: var(--jp-border-width) solid var(--md-blue-500);
+  box-shadow: inset 0 0 4px var(--md-blue-300);
+}
+
+.jp-lineFormInput {
+  background: transparent;
+  width: 200px;
+  height: 100%;
+  border: none;
+  outline: none;
+  color: var(--jp-ui-font-color0);
+  line-height: 28px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-JSONEditor {
+  display: flex;
+  flex-direction: column;
+  width: 100%;
+}
+
+.jp-JSONEditor-host {
+  flex: 1 1 auto;
+  border: var(--jp-border-width) solid var(--jp-input-border-color);
+  border-radius: 0;
+  background: var(--jp-layout-color0);
+  min-height: 50px;
+  padding: 1px;
+}
+
+.jp-JSONEditor.jp-mod-error .jp-JSONEditor-host {
+  border-color: red;
+  outline-color: red;
+}
+
+.jp-JSONEditor-header {
+  display: flex;
+  flex: 1 0 auto;
+  padding: 0 0 0 12px;
+}
+
+.jp-JSONEditor-header label {
+  flex: 0 0 auto;
+}
+
+.jp-JSONEditor-commitButton {
+  height: 16px;
+  width: 16px;
+  background-size: 18px;
+  background-repeat: no-repeat;
+  background-position: center;
+}
+
+.jp-JSONEditor-host.jp-mod-focused {
+  background-color: var(--jp-input-active-background);
+  border: 1px solid var(--jp-input-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+}
+
+.jp-Editor.jp-mod-dropTarget {
+  border: var(--jp-border-width) solid var(--jp-input-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+.jp-DocumentSearch-input {
+  border: none;
+  outline: none;
+  color: var(--jp-ui-font-color0);
+  font-size: var(--jp-ui-font-size1);
+  background-color: var(--jp-layout-color0);
+  font-family: var(--jp-ui-font-family);
+  padding: 2px 1px;
+  resize: none;
+}
+
+.jp-DocumentSearch-overlay {
+  position: absolute;
+  background-color: var(--jp-toolbar-background);
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  border-left: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  top: 0;
+  right: 0;
+  z-index: 7;
+  min-width: 405px;
+  padding: 2px;
+  font-size: var(--jp-ui-font-size1);
+
+  --jp-private-document-search-button-height: 20px;
+}
+
+.jp-DocumentSearch-overlay button {
+  background-color: var(--jp-toolbar-background);
+  outline: 0;
+}
+
+.jp-DocumentSearch-overlay button:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-overlay button:active {
+  background-color: var(--jp-layout-color3);
+}
+
+.jp-DocumentSearch-overlay-row {
+  display: flex;
+  align-items: center;
+  margin-bottom: 2px;
+}
+
+.jp-DocumentSearch-button-content {
+  display: inline-block;
+  cursor: pointer;
+  box-sizing: border-box;
+  width: 100%;
+  height: 100%;
+}
+
+.jp-DocumentSearch-button-content svg {
+  width: 100%;
+  height: 100%;
+}
+
+.jp-DocumentSearch-input-wrapper {
+  border: var(--jp-border-width) solid var(--jp-border-color0);
+  display: flex;
+  background-color: var(--jp-layout-color0);
+  margin: 2px;
+}
+
+.jp-DocumentSearch-input-wrapper:focus-within {
+  border-color: var(--jp-cell-editor-active-border-color);
+}
+
+.jp-DocumentSearch-toggle-wrapper,
+.jp-DocumentSearch-button-wrapper {
+  all: initial;
+  overflow: hidden;
+  display: inline-block;
+  border: none;
+  box-sizing: border-box;
+}
+
+.jp-DocumentSearch-toggle-wrapper {
+  width: 14px;
+  height: 14px;
+}
+
+.jp-DocumentSearch-button-wrapper {
+  width: var(--jp-private-document-search-button-height);
+  height: var(--jp-private-document-search-button-height);
+}
+
+.jp-DocumentSearch-toggle-wrapper:focus,
+.jp-DocumentSearch-button-wrapper:focus {
+  outline: var(--jp-border-width) solid
+    var(--jp-cell-editor-active-border-color);
+  outline-offset: -1px;
+}
+
+.jp-DocumentSearch-toggle-wrapper,
+.jp-DocumentSearch-button-wrapper,
+.jp-DocumentSearch-button-content:focus {
+  outline: none;
+}
+
+.jp-DocumentSearch-toggle-placeholder {
+  width: 5px;
+}
+
+.jp-DocumentSearch-input-button::before {
+  display: block;
+  padding-top: 100%;
+}
+
+.jp-DocumentSearch-input-button-off {
+  opacity: var(--jp-search-toggle-off-opacity);
+}
+
+.jp-DocumentSearch-input-button-off:hover {
+  opacity: var(--jp-search-toggle-hover-opacity);
+}
+
+.jp-DocumentSearch-input-button-on {
+  opacity: var(--jp-search-toggle-on-opacity);
+}
+
+.jp-DocumentSearch-index-counter {
+  padding-left: 10px;
+  padding-right: 10px;
+  user-select: none;
+  min-width: 35px;
+  display: inline-block;
+}
+
+.jp-DocumentSearch-up-down-wrapper {
+  display: inline-block;
+  padding-right: 2px;
+  margin-left: auto;
+  white-space: nowrap;
+}
+
+.jp-DocumentSearch-spacer {
+  margin-left: auto;
+}
+
+.jp-DocumentSearch-up-down-wrapper button {
+  outline: 0;
+  border: none;
+  width: var(--jp-private-document-search-button-height);
+  height: var(--jp-private-document-search-button-height);
+  vertical-align: middle;
+  margin: 1px 5px 2px;
+}
+
+.jp-DocumentSearch-up-down-button:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-up-down-button:active {
+  background-color: var(--jp-layout-color3);
+}
+
+.jp-DocumentSearch-filter-button {
+  border-radius: var(--jp-border-radius);
+}
+
+.jp-DocumentSearch-filter-button:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-filter-button-enabled {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-filter-button-enabled:hover {
+  background-color: var(--jp-layout-color3);
+}
+
+.jp-DocumentSearch-search-options {
+  padding: 0 8px;
+  margin-left: 3px;
+  width: 100%;
+  display: grid;
+  justify-content: start;
+  grid-template-columns: 1fr 1fr;
+  align-items: center;
+  justify-items: stretch;
+}
+
+.jp-DocumentSearch-search-filter-disabled {
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-DocumentSearch-search-filter {
+  display: flex;
+  align-items: center;
+  user-select: none;
+}
+
+.jp-DocumentSearch-regex-error {
+  color: var(--jp-error-color0);
+}
+
+.jp-DocumentSearch-replace-button-wrapper {
+  overflow: hidden;
+  display: inline-block;
+  box-sizing: border-box;
+  border: var(--jp-border-width) solid var(--jp-border-color0);
+  margin: auto 2px;
+  padding: 1px 4px;
+  height: calc(var(--jp-private-document-search-button-height) + 2px);
+}
+
+.jp-DocumentSearch-replace-button-wrapper:focus {
+  border: var(--jp-border-width) solid var(--jp-cell-editor-active-border-color);
+}
+
+.jp-DocumentSearch-replace-button {
+  display: inline-block;
+  text-align: center;
+  cursor: pointer;
+  box-sizing: border-box;
+  color: var(--jp-ui-font-color1);
+
+  /* height - 2 * (padding of wrapper) */
+  line-height: calc(var(--jp-private-document-search-button-height) - 2px);
+  width: 100%;
+  height: 100%;
+}
+
+.jp-DocumentSearch-replace-button:focus {
+  outline: none;
+}
+
+.jp-DocumentSearch-replace-wrapper-class {
+  margin-left: 14px;
+  display: flex;
+}
+
+.jp-DocumentSearch-replace-toggle {
+  border: none;
+  background-color: var(--jp-toolbar-background);
+  border-radius: var(--jp-border-radius);
+}
+
+.jp-DocumentSearch-replace-toggle:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.cm-editor {
+  line-height: var(--jp-code-line-height);
+  font-size: var(--jp-code-font-size);
+  font-family: var(--jp-code-font-family);
+  border: 0;
+  border-radius: 0;
+  height: auto;
+
+  /* Changed to auto to autogrow */
+}
+
+.cm-editor pre {
+  padding: 0 var(--jp-code-padding);
+}
+
+.jp-CodeMirrorEditor[data-type='inline'] .cm-dialog {
+  background-color: var(--jp-layout-color0);
+  color: var(--jp-content-font-color1);
+}
+
+.jp-CodeMirrorEditor {
+  cursor: text;
+}
+
+/* When zoomed out 67% and 33% on a screen of 1440 width x 900 height */
+@media screen and (min-width: 2138px) and (max-width: 4319px) {
+  .jp-CodeMirrorEditor[data-type='inline'] .cm-cursor {
+    border-left: var(--jp-code-cursor-width1) solid
+      var(--jp-editor-cursor-color);
+  }
+}
+
+/* When zoomed out less than 33% */
+@media screen and (min-width: 4320px) {
+  .jp-CodeMirrorEditor[data-type='inline'] .cm-cursor {
+    border-left: var(--jp-code-cursor-width2) solid
+      var(--jp-editor-cursor-color);
+  }
+}
+
+.cm-editor.jp-mod-readOnly .cm-cursor {
+  display: none;
+}
+
+.jp-CollaboratorCursor {
+  border-left: 5px solid transparent;
+  border-right: 5px solid transparent;
+  border-top: none;
+  border-bottom: 3px solid;
+  background-clip: content-box;
+  margin-left: -5px;
+  margin-right: -5px;
+}
+
+.cm-searching,
+.cm-searching span {
+  /* `.cm-searching span`: we need to override syntax highlighting */
+  background-color: var(--jp-search-unselected-match-background-color);
+  color: var(--jp-search-unselected-match-color);
+}
+
+.cm-searching::selection,
+.cm-searching span::selection {
+  background-color: var(--jp-search-unselected-match-background-color);
+  color: var(--jp-search-unselected-match-color);
+}
+
+.jp-current-match > .cm-searching,
+.jp-current-match > .cm-searching span,
+.cm-searching > .jp-current-match,
+.cm-searching > .jp-current-match span {
+  background-color: var(--jp-search-selected-match-background-color);
+  color: var(--jp-search-selected-match-color);
+}
+
+.jp-current-match > .cm-searching::selection,
+.cm-searching > .jp-current-match::selection,
+.jp-current-match > .cm-searching span::selection {
+  background-color: var(--jp-search-selected-match-background-color);
+  color: var(--jp-search-selected-match-color);
+}
+
+.cm-trailingspace {
+  background-image: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAgAAAAFCAYAAAB4ka1VAAAAsElEQVQIHQGlAFr/AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA7+r3zKmT0/+pk9P/7+r3zAAAAAAAAAAABAAAAAAAAAAA6OPzM+/q9wAAAAAA6OPzMwAAAAAAAAAAAgAAAAAAAAAAGR8NiRQaCgAZIA0AGR8NiQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQyoYJ/SY80UAAAAASUVORK5CYII=);
+  background-position: center left;
+  background-repeat: repeat-x;
+}
+
+.jp-CollaboratorCursor-hover {
+  position: absolute;
+  z-index: 1;
+  transform: translateX(-50%);
+  color: white;
+  border-radius: 3px;
+  padding-left: 4px;
+  padding-right: 4px;
+  padding-top: 1px;
+  padding-bottom: 1px;
+  text-align: center;
+  font-size: var(--jp-ui-font-size1);
+  white-space: nowrap;
+}
+
+.jp-CodeMirror-ruler {
+  border-left: 1px dashed var(--jp-border-color2);
+}
+
+/* Styles for shared cursors (remote cursor locations and selected ranges) */
+.jp-CodeMirrorEditor .cm-ySelectionCaret {
+  position: relative;
+  border-left: 1px solid black;
+  margin-left: -1px;
+  margin-right: -1px;
+  box-sizing: border-box;
+}
+
+.jp-CodeMirrorEditor .cm-ySelectionCaret > .cm-ySelectionInfo {
+  white-space: nowrap;
+  position: absolute;
+  top: -1.15em;
+  padding-bottom: 0.05em;
+  left: -1px;
+  font-size: 0.95em;
+  font-family: var(--jp-ui-font-family);
+  font-weight: bold;
+  line-height: normal;
+  user-select: none;
+  color: white;
+  padding-left: 2px;
+  padding-right: 2px;
+  z-index: 101;
+  transition: opacity 0.3s ease-in-out;
+}
+
+.jp-CodeMirrorEditor .cm-ySelectionInfo {
+  transition-delay: 0.7s;
+  opacity: 0;
+}
+
+.jp-CodeMirrorEditor .cm-ySelectionCaret:hover > .cm-ySelectionInfo {
+  opacity: 1;
+  transition-delay: 0s;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-MimeDocument {
+  outline: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-filebrowser-button-height: 28px;
+  --jp-private-filebrowser-button-width: 48px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-FileBrowser .jp-SidePanel-content {
+  display: flex;
+  flex-direction: column;
+}
+
+.jp-FileBrowser-toolbar.jp-Toolbar {
+  flex-wrap: wrap;
+  row-gap: 12px;
+  border-bottom: none;
+  height: auto;
+  margin: 8px 12px 0;
+  box-shadow: none;
+  padding: 0;
+  justify-content: flex-start;
+}
+
+.jp-FileBrowser-Panel {
+  flex: 1 1 auto;
+  display: flex;
+  flex-direction: column;
+}
+
+.jp-BreadCrumbs {
+  flex: 0 0 auto;
+  margin: 8px 12px;
+}
+
+.jp-BreadCrumbs-item {
+  margin: 0 2px;
+  padding: 0 2px;
+  border-radius: var(--jp-border-radius);
+  cursor: pointer;
+}
+
+.jp-BreadCrumbs-item:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-BreadCrumbs-item:first-child {
+  margin-left: 0;
+}
+
+.jp-BreadCrumbs-item.jp-mod-dropTarget {
+  background-color: var(--jp-brand-color2);
+  opacity: 0.7;
+}
+
+/*-----------------------------------------------------------------------------
+| Buttons
+|----------------------------------------------------------------------------*/
+
+.jp-FileBrowser-toolbar > .jp-Toolbar-item {
+  flex: 0 0 auto;
+  padding-left: 0;
+  padding-right: 2px;
+  align-items: center;
+  height: unset;
+}
+
+.jp-FileBrowser-toolbar > .jp-Toolbar-item .jp-ToolbarButtonComponent {
+  width: 40px;
+}
+
+/*-----------------------------------------------------------------------------
+| Other styles
+|----------------------------------------------------------------------------*/
+
+.jp-FileDialog.jp-mod-conflict input {
+  color: var(--jp-error-color1);
+}
+
+.jp-FileDialog .jp-new-name-title {
+  margin-top: 12px;
+}
+
+.jp-LastModified-hidden {
+  display: none;
+}
+
+.jp-FileSize-hidden {
+  display: none;
+}
+
+.jp-FileBrowser .lm-AccordionPanel > h3:first-child {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| DirListing
+|----------------------------------------------------------------------------*/
+
+.jp-DirListing {
+  flex: 1 1 auto;
+  display: flex;
+  flex-direction: column;
+  outline: 0;
+}
+
+.jp-DirListing-header {
+  flex: 0 0 auto;
+  display: flex;
+  flex-direction: row;
+  align-items: center;
+  overflow: hidden;
+  border-top: var(--jp-border-width) solid var(--jp-border-color2);
+  border-bottom: var(--jp-border-width) solid var(--jp-border-color1);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  z-index: 2;
+}
+
+.jp-DirListing-headerItem {
+  padding: 4px 12px 2px;
+  font-weight: 500;
+}
+
+.jp-DirListing-headerItem:hover {
+  background: var(--jp-layout-color2);
+}
+
+.jp-DirListing-headerItem.jp-id-name {
+  flex: 1 0 84px;
+}
+
+.jp-DirListing-headerItem.jp-id-modified {
+  flex: 0 0 112px;
+  border-left: var(--jp-border-width) solid var(--jp-border-color2);
+  text-align: right;
+}
+
+.jp-DirListing-headerItem.jp-id-filesize {
+  flex: 0 0 75px;
+  border-left: var(--jp-border-width) solid var(--jp-border-color2);
+  text-align: right;
+}
+
+.jp-id-narrow {
+  display: none;
+  flex: 0 0 5px;
+  padding: 4px;
+  border-left: var(--jp-border-width) solid var(--jp-border-color2);
+  text-align: right;
+  color: var(--jp-border-color2);
+}
+
+.jp-DirListing-narrow .jp-id-narrow {
+  display: block;
+}
+
+.jp-DirListing-narrow .jp-id-modified,
+.jp-DirListing-narrow .jp-DirListing-itemModified {
+  display: none;
+}
+
+.jp-DirListing-headerItem.jp-mod-selected {
+  font-weight: 600;
+}
+
+/* increase specificity to override bundled default */
+.jp-DirListing-content {
+  flex: 1 1 auto;
+  margin: 0;
+  padding: 0;
+  list-style-type: none;
+  overflow: auto;
+  background-color: var(--jp-layout-color1);
+}
+
+.jp-DirListing-content mark {
+  color: var(--jp-ui-font-color0);
+  background-color: transparent;
+  font-weight: bold;
+}
+
+.jp-DirListing-content .jp-DirListing-item.jp-mod-selected mark {
+  color: var(--jp-ui-inverse-font-color0);
+}
+
+/* Style the directory listing content when a user drops a file to upload */
+.jp-DirListing.jp-mod-native-drop .jp-DirListing-content {
+  outline: 5px dashed rgba(128, 128, 128, 0.5);
+  outline-offset: -10px;
+  cursor: copy;
+}
+
+.jp-DirListing-item {
+  display: flex;
+  flex-direction: row;
+  align-items: center;
+  padding: 4px 12px;
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.jp-DirListing-checkboxWrapper {
+  /* Increases hit area of checkbox. */
+  padding: 4px;
+}
+
+.jp-DirListing-header
+  .jp-DirListing-checkboxWrapper
+  + .jp-DirListing-headerItem {
+  padding-left: 4px;
+}
+
+.jp-DirListing-content .jp-DirListing-checkboxWrapper {
+  position: relative;
+  left: -4px;
+  margin: -4px 0 -4px -8px;
+}
+
+.jp-DirListing-checkboxWrapper.jp-mod-visible {
+  visibility: visible;
+}
+
+/* For devices that support hovering, hide checkboxes until hovered, selected...
+*/
+@media (hover: hover) {
+  .jp-DirListing-checkboxWrapper {
+    visibility: hidden;
+  }
+
+  .jp-DirListing-item:hover .jp-DirListing-checkboxWrapper,
+  .jp-DirListing-item.jp-mod-selected .jp-DirListing-checkboxWrapper {
+    visibility: visible;
+  }
+}
+
+.jp-DirListing-item[data-is-dot] {
+  opacity: 75%;
+}
+
+.jp-DirListing-item.jp-mod-selected {
+  color: var(--jp-ui-inverse-font-color1);
+  background: var(--jp-brand-color1);
+}
+
+.jp-DirListing-item.jp-mod-dropTarget {
+  background: var(--jp-brand-color3);
+}
+
+.jp-DirListing-item:hover:not(.jp-mod-selected) {
+  background: var(--jp-layout-color2);
+}
+
+.jp-DirListing-itemIcon {
+  flex: 0 0 20px;
+  margin-right: 4px;
+}
+
+.jp-DirListing-itemText {
+  flex: 1 0 64px;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+  user-select: none;
+}
+
+.jp-DirListing-itemText:focus {
+  outline-width: 2px;
+  outline-color: var(--jp-inverse-layout-color1);
+  outline-style: solid;
+  outline-offset: 1px;
+}
+
+.jp-DirListing-item.jp-mod-selected .jp-DirListing-itemText:focus {
+  outline-color: var(--jp-layout-color1);
+}
+
+.jp-DirListing-itemModified {
+  flex: 0 0 125px;
+  text-align: right;
+}
+
+.jp-DirListing-itemFileSize {
+  flex: 0 0 90px;
+  text-align: right;
+}
+
+.jp-DirListing-editor {
+  flex: 1 0 64px;
+  outline: none;
+  border: none;
+  color: var(--jp-ui-font-color1);
+  background-color: var(--jp-layout-color1);
+}
+
+.jp-DirListing-item.jp-mod-running .jp-DirListing-itemIcon::before {
+  color: var(--jp-success-color1);
+  content: '\25CF';
+  font-size: 8px;
+  position: absolute;
+  left: -8px;
+}
+
+.jp-DirListing-item.jp-mod-running.jp-mod-selected
+  .jp-DirListing-itemIcon::before {
+  color: var(--jp-ui-inverse-font-color1);
+}
+
+.jp-DirListing-item.lm-mod-drag-image,
+.jp-DirListing-item.jp-mod-selected.lm-mod-drag-image {
+  font-size: var(--jp-ui-font-size1);
+  padding-left: 4px;
+  margin-left: 4px;
+  width: 160px;
+  background-color: var(--jp-ui-inverse-font-color2);
+  box-shadow: var(--jp-elevation-z2);
+  border-radius: 0;
+  color: var(--jp-ui-font-color1);
+  transform: translateX(-40%) translateY(-58%);
+}
+
+.jp-Document {
+  min-width: 120px;
+  min-height: 120px;
+  outline: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Main OutputArea
+| OutputArea has a list of Outputs
+|----------------------------------------------------------------------------*/
+
+.jp-OutputArea {
+  overflow-y: auto;
+}
+
+.jp-OutputArea-child {
+  display: table;
+  table-layout: fixed;
+  width: 100%;
+  overflow: hidden;
+}
+
+.jp-OutputPrompt {
+  width: var(--jp-cell-prompt-width);
+  color: var(--jp-cell-outprompt-font-color);
+  font-family: var(--jp-cell-prompt-font-family);
+  padding: var(--jp-code-padding);
+  letter-spacing: var(--jp-cell-prompt-letter-spacing);
+  line-height: var(--jp-code-line-height);
+  font-size: var(--jp-code-font-size);
+  border: var(--jp-border-width) solid transparent;
+  opacity: var(--jp-cell-prompt-opacity);
+
+  /* Right align prompt text, don't wrap to handle large prompt numbers */
+  text-align: right;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+
+  /* Disable text selection */
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.jp-OutputArea-prompt {
+  display: table-cell;
+  vertical-align: top;
+}
+
+.jp-OutputArea-output {
+  display: table-cell;
+  width: 100%;
+  height: auto;
+  overflow: auto;
+  user-select: text;
+  -moz-user-select: text;
+  -webkit-user-select: text;
+  -ms-user-select: text;
+}
+
+.jp-OutputArea .jp-RenderedText {
+  padding-left: 1ch;
+}
+
+/**
+ * Prompt overlay.
+ */
+
+.jp-OutputArea-promptOverlay {
+  position: absolute;
+  top: 0;
+  width: var(--jp-cell-prompt-width);
+  height: 100%;
+  opacity: 0.5;
+}
+
+.jp-OutputArea-promptOverlay:hover {
+  background: var(--jp-layout-color2);
+  box-shadow: inset 0 0 1px var(--jp-inverse-layout-color0);
+  cursor: zoom-out;
+}
+
+.jp-mod-outputsScrolled .jp-OutputArea-promptOverlay:hover {
+  cursor: zoom-in;
+}
+
+/**
+ * Isolated output.
+ */
+.jp-OutputArea-output.jp-mod-isolated {
+  width: 100%;
+  display: block;
+}
+
+/*
+When drag events occur, `lm-mod-override-cursor` is added to the body.
+Because iframes steal all cursor events, the following two rules are necessary
+to suppress pointer events while resize drags are occurring. There may be a
+better solution to this problem.
+*/
+body.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated {
+  position: relative;
+}
+
+body.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated::before {
+  content: '';
+  position: absolute;
+  top: 0;
+  left: 0;
+  right: 0;
+  bottom: 0;
+  background: transparent;
+}
+
+/* pre */
+
+.jp-OutputArea-output pre {
+  border: none;
+  margin: 0;
+  padding: 0;
+  overflow-x: auto;
+  overflow-y: auto;
+  word-break: break-all;
+  word-wrap: break-word;
+  white-space: pre-wrap;
+}
+
+/* tables */
+
+.jp-OutputArea-output.jp-RenderedHTMLCommon table {
+  margin-left: 0;
+  margin-right: 0;
+}
+
+/* description lists */
+
+.jp-OutputArea-output dl,
+.jp-OutputArea-output dt,
+.jp-OutputArea-output dd {
+  display: block;
+}
+
+.jp-OutputArea-output dl {
+  width: 100%;
+  overflow: hidden;
+  padding: 0;
+  margin: 0;
+}
+
+.jp-OutputArea-output dt {
+  font-weight: bold;
+  float: left;
+  width: 20%;
+  padding: 0;
+  margin: 0;
+}
+
+.jp-OutputArea-output dd {
+  float: left;
+  width: 80%;
+  padding: 0;
+  margin: 0;
+}
+
+.jp-TrimmedOutputs pre {
+  background: var(--jp-layout-color3);
+  font-size: calc(var(--jp-code-font-size) * 1.4);
+  text-align: center;
+  text-transform: uppercase;
+}
+
+/* Hide the gutter in case of
+ *  - nested output areas (e.g. in the case of output widgets)
+ *  - mirrored output areas
+ */
+.jp-OutputArea .jp-OutputArea .jp-OutputArea-prompt {
+  display: none;
+}
+
+/* Hide empty lines in the output area, for instance due to cleared widgets */
+.jp-OutputArea-prompt:empty {
+  padding: 0;
+  border: 0;
+}
+
+/*-----------------------------------------------------------------------------
+| executeResult is added to any Output-result for the display of the object
+| returned by a cell
+|----------------------------------------------------------------------------*/
+
+.jp-OutputArea-output.jp-OutputArea-executeResult {
+  margin-left: 0;
+  width: 100%;
+}
+
+/* Text output with the Out[] prompt needs a top padding to match the
+ * alignment of the Out[] prompt itself.
+ */
+.jp-OutputArea-executeResult .jp-RenderedText.jp-OutputArea-output {
+  padding-top: var(--jp-code-padding);
+  border-top: var(--jp-border-width) solid transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| The Stdin output
+|----------------------------------------------------------------------------*/
+
+.jp-Stdin-prompt {
+  color: var(--jp-content-font-color0);
+  padding-right: var(--jp-code-padding);
+  vertical-align: baseline;
+  flex: 0 0 auto;
+}
+
+.jp-Stdin-input {
+  font-family: var(--jp-code-font-family);
+  font-size: inherit;
+  color: inherit;
+  background-color: inherit;
+  width: 42%;
+  min-width: 200px;
+
+  /* make sure input baseline aligns with prompt */
+  vertical-align: baseline;
+
+  /* padding + margin = 0.5em between prompt and cursor */
+  padding: 0 0.25em;
+  margin: 0 0.25em;
+  flex: 0 0 70%;
+}
+
+.jp-Stdin-input::placeholder {
+  opacity: 0;
+}
+
+.jp-Stdin-input:focus {
+  box-shadow: none;
+}
+
+.jp-Stdin-input:focus::placeholder {
+  opacity: 1;
+}
+
+/*-----------------------------------------------------------------------------
+| Output Area View
+|----------------------------------------------------------------------------*/
+
+.jp-LinkedOutputView .jp-OutputArea {
+  height: 100%;
+  display: block;
+}
+
+.jp-LinkedOutputView .jp-OutputArea-output:only-child {
+  height: 100%;
+}
+
+/*-----------------------------------------------------------------------------
+| Printing
+|----------------------------------------------------------------------------*/
+
+@media print {
+  .jp-OutputArea-child {
+    break-inside: avoid-page;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Mobile
+|----------------------------------------------------------------------------*/
+@media only screen and (max-width: 760px) {
+  .jp-OutputPrompt {
+    display: table-row;
+    text-align: left;
+  }
+
+  .jp-OutputArea-child .jp-OutputArea-output {
+    display: table-row;
+    margin-left: var(--jp-notebook-padding);
+  }
+}
+
+/* Trimmed outputs warning */
+.jp-TrimmedOutputs > a {
+  margin: 10px;
+  text-decoration: none;
+  cursor: pointer;
+}
+
+.jp-TrimmedOutputs > a:hover {
+  text-decoration: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Table of Contents
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-toc-active-width: 4px;
+}
+
+.jp-TableOfContents {
+  display: flex;
+  flex-direction: column;
+  background: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  height: 100%;
+}
+
+.jp-TableOfContents-placeholder {
+  text-align: center;
+}
+
+.jp-TableOfContents-placeholderContent {
+  color: var(--jp-content-font-color2);
+  padding: 8px;
+}
+
+.jp-TableOfContents-placeholderContent > h3 {
+  margin-bottom: var(--jp-content-heading-margin-bottom);
+}
+
+.jp-TableOfContents .jp-SidePanel-content {
+  overflow-y: auto;
+}
+
+.jp-TableOfContents-tree {
+  margin: 4px;
+}
+
+.jp-TableOfContents ol {
+  list-style-type: none;
+}
+
+/* stylelint-disable-next-line selector-max-type */
+.jp-TableOfContents li > ol {
+  /* Align left border with triangle icon center */
+  padding-left: 11px;
+}
+
+.jp-TableOfContents-content {
+  /* left margin for the active heading indicator */
+  margin: 0 0 0 var(--jp-private-toc-active-width);
+  padding: 0;
+  background-color: var(--jp-layout-color1);
+}
+
+.jp-tocItem {
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.jp-tocItem-heading {
+  display: flex;
+  cursor: pointer;
+}
+
+.jp-tocItem-heading:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-tocItem-content {
+  display: block;
+  padding: 4px 0;
+  white-space: nowrap;
+  text-overflow: ellipsis;
+  overflow-x: hidden;
+}
+
+.jp-tocItem-collapser {
+  height: 20px;
+  margin: 2px 2px 0;
+  padding: 0;
+  background: none;
+  border: none;
+  cursor: pointer;
+}
+
+.jp-tocItem-collapser:hover {
+  background-color: var(--jp-layout-color3);
+}
+
+/* Active heading indicator */
+
+.jp-tocItem-heading::before {
+  content: ' ';
+  background: transparent;
+  width: var(--jp-private-toc-active-width);
+  height: 24px;
+  position: absolute;
+  left: 0;
+  border-radius: var(--jp-border-radius);
+}
+
+.jp-tocItem-heading.jp-tocItem-active::before {
+  background-color: var(--jp-brand-color1);
+}
+
+.jp-tocItem-heading:hover.jp-tocItem-active::before {
+  background: var(--jp-brand-color0);
+  opacity: 1;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Collapser {
+  flex: 0 0 var(--jp-cell-collapser-width);
+  padding: 0;
+  margin: 0;
+  border: none;
+  outline: none;
+  background: transparent;
+  border-radius: var(--jp-border-radius);
+  opacity: 1;
+}
+
+.jp-Collapser-child {
+  display: block;
+  width: 100%;
+  box-sizing: border-box;
+
+  /* height: 100% doesn't work because the height of its parent is computed from content */
+  position: absolute;
+  top: 0;
+  bottom: 0;
+}
+
+/*-----------------------------------------------------------------------------
+| Printing
+|----------------------------------------------------------------------------*/
+
+/*
+Hiding collapsers in print mode.
+
+Note: input and output wrappers have "display: block" propery in print mode.
+*/
+
+@media print {
+  .jp-Collapser {
+    display: none;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Header/Footer
+|----------------------------------------------------------------------------*/
+
+/* Hidden by zero height by default */
+.jp-CellHeader,
+.jp-CellFooter {
+  height: 0;
+  width: 100%;
+  padding: 0;
+  margin: 0;
+  border: none;
+  outline: none;
+  background: transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Input
+|----------------------------------------------------------------------------*/
+
+/* All input areas */
+.jp-InputArea {
+  display: table;
+  table-layout: fixed;
+  width: 100%;
+  overflow: hidden;
+}
+
+.jp-InputArea-editor {
+  display: table-cell;
+  overflow: hidden;
+  vertical-align: top;
+
+  /* This is the non-active, default styling */
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  border-radius: 0;
+  background: var(--jp-cell-editor-background);
+}
+
+.jp-InputPrompt {
+  display: table-cell;
+  vertical-align: top;
+  width: var(--jp-cell-prompt-width);
+  color: var(--jp-cell-inprompt-font-color);
+  font-family: var(--jp-cell-prompt-font-family);
+  padding: var(--jp-code-padding);
+  letter-spacing: var(--jp-cell-prompt-letter-spacing);
+  opacity: var(--jp-cell-prompt-opacity);
+  line-height: var(--jp-code-line-height);
+  font-size: var(--jp-code-font-size);
+  border: var(--jp-border-width) solid transparent;
+
+  /* Right align prompt text, don't wrap to handle large prompt numbers */
+  text-align: right;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+
+  /* Disable text selection */
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Mobile
+|----------------------------------------------------------------------------*/
+@media only screen and (max-width: 760px) {
+  .jp-InputArea-editor {
+    display: table-row;
+    margin-left: var(--jp-notebook-padding);
+  }
+
+  .jp-InputPrompt {
+    display: table-row;
+    text-align: left;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Placeholder
+|----------------------------------------------------------------------------*/
+
+.jp-Placeholder {
+  display: table;
+  table-layout: fixed;
+  width: 100%;
+}
+
+.jp-Placeholder-prompt {
+  display: table-cell;
+  box-sizing: border-box;
+}
+
+.jp-Placeholder-content {
+  display: table-cell;
+  padding: 4px 6px;
+  border: 1px solid transparent;
+  border-radius: 0;
+  background: none;
+  box-sizing: border-box;
+  cursor: pointer;
+}
+
+.jp-Placeholder-contentContainer {
+  display: flex;
+}
+
+.jp-Placeholder-content:hover,
+.jp-InputPlaceholder > .jp-Placeholder-content:hover {
+  border-color: var(--jp-layout-color3);
+}
+
+.jp-Placeholder-content .jp-MoreHorizIcon {
+  width: 32px;
+  height: 16px;
+  border: 1px solid transparent;
+  border-radius: var(--jp-border-radius);
+}
+
+.jp-Placeholder-content .jp-MoreHorizIcon:hover {
+  border: 1px solid var(--jp-border-color1);
+  box-shadow: 0 0 2px 0 rgba(0, 0, 0, 0.25);
+  background-color: var(--jp-layout-color0);
+}
+
+.jp-PlaceholderText {
+  white-space: nowrap;
+  overflow-x: hidden;
+  color: var(--jp-inverse-layout-color3);
+  font-family: var(--jp-code-font-family);
+}
+
+.jp-InputPlaceholder > .jp-Placeholder-content {
+  border-color: var(--jp-cell-editor-border-color);
+  background: var(--jp-cell-editor-background);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Private CSS variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-cell-scrolling-output-offset: 5px;
+}
+
+/*-----------------------------------------------------------------------------
+| Cell
+|----------------------------------------------------------------------------*/
+
+.jp-Cell {
+  padding: var(--jp-cell-padding);
+  margin: 0;
+  border: none;
+  outline: none;
+  background: transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| Common input/output
+|----------------------------------------------------------------------------*/
+
+.jp-Cell-inputWrapper,
+.jp-Cell-outputWrapper {
+  display: flex;
+  flex-direction: row;
+  padding: 0;
+  margin: 0;
+
+  /* Added to reveal the box-shadow on the input and output collapsers. */
+  overflow: visible;
+}
+
+/* Only input/output areas inside cells */
+.jp-Cell-inputArea,
+.jp-Cell-outputArea {
+  flex: 1 1 auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Collapser
+|----------------------------------------------------------------------------*/
+
+/* Make the output collapser disappear when there is not output, but do so
+ * in a manner that leaves it in the layout and preserves its width.
+ */
+.jp-Cell.jp-mod-noOutputs .jp-Cell-outputCollapser {
+  border: none !important;
+  background: transparent !important;
+}
+
+.jp-Cell:not(.jp-mod-noOutputs) .jp-Cell-outputCollapser {
+  min-height: var(--jp-cell-collapser-min-height);
+}
+
+/*-----------------------------------------------------------------------------
+| Output
+|----------------------------------------------------------------------------*/
+
+/* Put a space between input and output when there IS output */
+.jp-Cell:not(.jp-mod-noOutputs) .jp-Cell-outputWrapper {
+  margin-top: 5px;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea {
+  overflow-y: auto;
+  max-height: 24em;
+  margin-left: var(--jp-private-cell-scrolling-output-offset);
+  resize: vertical;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea[style*='height'] {
+  max-height: unset;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea::after {
+  content: ' ';
+  box-shadow: inset 0 0 6px 2px rgb(0 0 0 / 30%);
+  width: 100%;
+  height: 100%;
+  position: sticky;
+  bottom: 0;
+  top: 0;
+  margin-top: -50%;
+  float: left;
+  display: block;
+  pointer-events: none;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-child {
+  padding-top: 6px;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-prompt {
+  width: calc(
+    var(--jp-cell-prompt-width) - var(--jp-private-cell-scrolling-output-offset)
+  );
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-promptOverlay {
+  left: calc(-1 * var(--jp-private-cell-scrolling-output-offset));
+}
+
+/*-----------------------------------------------------------------------------
+| CodeCell
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| MarkdownCell
+|----------------------------------------------------------------------------*/
+
+.jp-MarkdownOutput {
+  display: table-cell;
+  width: 100%;
+  margin-top: 0;
+  margin-bottom: 0;
+  padding-left: var(--jp-code-padding);
+}
+
+.jp-MarkdownOutput.jp-RenderedHTMLCommon {
+  overflow: auto;
+}
+
+/* collapseHeadingButton (show always if hiddenCellsButton is _not_ shown) */
+.jp-collapseHeadingButton {
+  display: flex;
+  min-height: var(--jp-cell-collapser-min-height);
+  font-size: var(--jp-code-font-size);
+  position: absolute;
+  background-color: transparent;
+  background-size: 25px;
+  background-repeat: no-repeat;
+  background-position-x: center;
+  background-position-y: top;
+  background-image: var(--jp-icon-caret-down);
+  right: 0;
+  top: 0;
+  bottom: 0;
+}
+
+.jp-collapseHeadingButton.jp-mod-collapsed {
+  background-image: var(--jp-icon-caret-right);
+}
+
+/*
+ set the container font size to match that of content
+ so that the nested collapse buttons have the right size
+*/
+.jp-MarkdownCell .jp-InputPrompt {
+  font-size: var(--jp-content-font-size1);
+}
+
+/*
+  Align collapseHeadingButton with cell top header
+  The font sizes are identical to the ones in packages/rendermime/style/base.css
+*/
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='1'] {
+  font-size: var(--jp-content-font-size5);
+  background-position-y: calc(0.3 * var(--jp-content-font-size5));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='2'] {
+  font-size: var(--jp-content-font-size4);
+  background-position-y: calc(0.3 * var(--jp-content-font-size4));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='3'] {
+  font-size: var(--jp-content-font-size3);
+  background-position-y: calc(0.3 * var(--jp-content-font-size3));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='4'] {
+  font-size: var(--jp-content-font-size2);
+  background-position-y: calc(0.3 * var(--jp-content-font-size2));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='5'] {
+  font-size: var(--jp-content-font-size1);
+  background-position-y: top;
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='6'] {
+  font-size: var(--jp-content-font-size0);
+  background-position-y: top;
+}
+
+/* collapseHeadingButton (show only on (hover,active) if hiddenCellsButton is shown) */
+.jp-Notebook.jp-mod-showHiddenCellsButton .jp-collapseHeadingButton {
+  display: none;
+}
+
+.jp-Notebook.jp-mod-showHiddenCellsButton
+  :is(.jp-MarkdownCell:hover, .jp-mod-active)
+  .jp-collapseHeadingButton {
+  display: flex;
+}
+
+/* showHiddenCellsButton (only show if jp-mod-showHiddenCellsButton is set, which
+is a consequence of the showHiddenCellsButton option in Notebook Settings)*/
+.jp-Notebook.jp-mod-showHiddenCellsButton .jp-showHiddenCellsButton {
+  margin-left: calc(var(--jp-cell-prompt-width) + 2 * var(--jp-code-padding));
+  margin-top: var(--jp-code-padding);
+  border: 1px solid var(--jp-border-color2);
+  background-color: var(--jp-border-color3) !important;
+  color: var(--jp-content-font-color0) !important;
+  display: flex;
+}
+
+.jp-Notebook.jp-mod-showHiddenCellsButton .jp-showHiddenCellsButton:hover {
+  background-color: var(--jp-border-color2) !important;
+}
+
+.jp-showHiddenCellsButton {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Printing
+|----------------------------------------------------------------------------*/
+
+/*
+Using block instead of flex to allow the use of the break-inside CSS property for
+cell outputs.
+*/
+
+@media print {
+  .jp-Cell-inputWrapper,
+  .jp-Cell-outputWrapper {
+    display: block;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-notebook-toolbar-padding: 2px 5px 2px 2px;
+}
+
+/*-----------------------------------------------------------------------------
+
+/*-----------------------------------------------------------------------------
+| Styles
+|----------------------------------------------------------------------------*/
+
+.jp-NotebookPanel-toolbar {
+  padding: var(--jp-notebook-toolbar-padding);
+
+  /* disable paint containment from lumino 2.0 default strict CSS containment */
+  contain: style size !important;
+}
+
+.jp-Toolbar-item.jp-Notebook-toolbarCellType .jp-select-wrapper.jp-mod-focused {
+  border: none;
+  box-shadow: none;
+}
+
+.jp-Notebook-toolbarCellTypeDropdown select {
+  height: 24px;
+  font-size: var(--jp-ui-font-size1);
+  line-height: 14px;
+  border-radius: 0;
+  display: block;
+}
+
+.jp-Notebook-toolbarCellTypeDropdown span {
+  top: 5px !important;
+}
+
+.jp-Toolbar-responsive-popup {
+  position: absolute;
+  height: fit-content;
+  display: flex;
+  flex-direction: row;
+  flex-wrap: wrap;
+  justify-content: flex-end;
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  background: var(--jp-toolbar-background);
+  min-height: var(--jp-toolbar-micro-height);
+  padding: var(--jp-notebook-toolbar-padding);
+  z-index: 1;
+  right: 0;
+  top: 0;
+}
+
+.jp-Toolbar > .jp-Toolbar-responsive-opener {
+  margin-left: auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+
+/*-----------------------------------------------------------------------------
+| Styles
+|----------------------------------------------------------------------------*/
+
+.jp-Notebook-ExecutionIndicator {
+  position: relative;
+  display: inline-block;
+  height: 100%;
+  z-index: 9997;
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip {
+  visibility: hidden;
+  height: auto;
+  width: max-content;
+  width: -moz-max-content;
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color1);
+  text-align: justify;
+  border-radius: 6px;
+  padding: 0 5px;
+  position: fixed;
+  display: table;
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip.up {
+  transform: translateX(-50%) translateY(-100%) translateY(-32px);
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip.down {
+  transform: translateX(calc(-100% + 16px)) translateY(5px);
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip.hidden {
+  display: none;
+}
+
+.jp-Notebook-ExecutionIndicator:hover .jp-Notebook-ExecutionIndicator-tooltip {
+  visibility: visible;
+}
+
+.jp-Notebook-ExecutionIndicator span {
+  font-size: var(--jp-ui-font-size1);
+  font-family: var(--jp-ui-font-family);
+  color: var(--jp-ui-font-color1);
+  line-height: 24px;
+  display: block;
+}
+
+.jp-Notebook-ExecutionIndicator-progress-bar {
+  display: flex;
+  justify-content: center;
+  height: 100%;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*
+ * Execution indicator
+ */
+.jp-tocItem-content::after {
+  content: '';
+
+  /* Must be identical to form a circle */
+  width: 12px;
+  height: 12px;
+  background: none;
+  border: none;
+  position: absolute;
+  right: 0;
+}
+
+.jp-tocItem-content[data-running='0']::after {
+  border-radius: 50%;
+  border: var(--jp-border-width) solid var(--jp-inverse-layout-color3);
+  background: none;
+}
+
+.jp-tocItem-content[data-running='1']::after {
+  border-radius: 50%;
+  border: var(--jp-border-width) solid var(--jp-inverse-layout-color3);
+  background-color: var(--jp-inverse-layout-color3);
+}
+
+.jp-tocItem-content[data-running='0'],
+.jp-tocItem-content[data-running='1'] {
+  margin-right: 12px;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-Notebook-footer {
+  height: 27px;
+  margin-left: calc(
+    var(--jp-cell-prompt-width) + var(--jp-cell-collapser-width) +
+      var(--jp-cell-padding)
+  );
+  width: calc(
+    100% -
+      (
+        var(--jp-cell-prompt-width) + var(--jp-cell-collapser-width) +
+          var(--jp-cell-padding) + var(--jp-cell-padding)
+      )
+  );
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  color: var(--jp-ui-font-color3);
+  margin-top: 6px;
+  background: none;
+  cursor: pointer;
+}
+
+.jp-Notebook-footer:focus {
+  border-color: var(--jp-cell-editor-active-border-color);
+}
+
+/* For devices that support hovering, hide footer until hover */
+@media (hover: hover) {
+  .jp-Notebook-footer {
+    opacity: 0;
+  }
+
+  .jp-Notebook-footer:focus,
+  .jp-Notebook-footer:hover {
+    opacity: 1;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Imports
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| CSS variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-side-by-side-output-size: 1fr;
+  --jp-side-by-side-resized-cell: var(--jp-side-by-side-output-size);
+  --jp-private-notebook-dragImage-width: 304px;
+  --jp-private-notebook-dragImage-height: 36px;
+  --jp-private-notebook-selected-color: var(--md-blue-400);
+  --jp-private-notebook-active-color: var(--md-green-400);
+}
+
+/*-----------------------------------------------------------------------------
+| Notebook
+|----------------------------------------------------------------------------*/
+
+/* stylelint-disable selector-max-class */
+
+.jp-NotebookPanel {
+  display: block;
+  height: 100%;
+}
+
+.jp-NotebookPanel.jp-Document {
+  min-width: 240px;
+  min-height: 120px;
+}
+
+.jp-Notebook {
+  padding: var(--jp-notebook-padding);
+  outline: none;
+  overflow: auto;
+  background: var(--jp-layout-color0);
+}
+
+.jp-Notebook.jp-mod-scrollPastEnd::after {
+  display: block;
+  content: '';
+  min-height: var(--jp-notebook-scroll-padding);
+}
+
+.jp-MainAreaWidget-ContainStrict .jp-Notebook * {
+  contain: strict;
+}
+
+.jp-Notebook .jp-Cell {
+  overflow: visible;
+}
+
+.jp-Notebook .jp-Cell .jp-InputPrompt {
+  cursor: move;
+}
+
+/*-----------------------------------------------------------------------------
+| Notebook state related styling
+|
+| The notebook and cells each have states, here are the possibilities:
+|
+| - Notebook
+|   - Command
+|   - Edit
+| - Cell
+|   - None
+|   - Active (only one can be active)
+|   - Selected (the cells actions are applied to)
+|   - Multiselected (when multiple selected, the cursor)
+|   - No outputs
+|----------------------------------------------------------------------------*/
+
+/* Command or edit modes */
+
+.jp-Notebook .jp-Cell:not(.jp-mod-active) .jp-InputPrompt {
+  opacity: var(--jp-cell-prompt-not-active-opacity);
+  color: var(--jp-cell-prompt-not-active-font-color);
+}
+
+.jp-Notebook .jp-Cell:not(.jp-mod-active) .jp-OutputPrompt {
+  opacity: var(--jp-cell-prompt-not-active-opacity);
+  color: var(--jp-cell-prompt-not-active-font-color);
+}
+
+/* cell is active */
+.jp-Notebook .jp-Cell.jp-mod-active .jp-Collapser {
+  background: var(--jp-brand-color1);
+}
+
+/* cell is dirty */
+.jp-Notebook .jp-Cell.jp-mod-dirty .jp-InputPrompt {
+  color: var(--jp-warn-color1);
+}
+
+.jp-Notebook .jp-Cell.jp-mod-dirty .jp-InputPrompt::before {
+  color: var(--jp-warn-color1);
+  content: '•';
+}
+
+.jp-Notebook .jp-Cell.jp-mod-active.jp-mod-dirty .jp-Collapser {
+  background: var(--jp-warn-color1);
+}
+
+/* collapser is hovered */
+.jp-Notebook .jp-Cell .jp-Collapser:hover {
+  box-shadow: var(--jp-elevation-z2);
+  background: var(--jp-brand-color1);
+  opacity: var(--jp-cell-collapser-not-active-hover-opacity);
+}
+
+/* cell is active and collapser is hovered */
+.jp-Notebook .jp-Cell.jp-mod-active .jp-Collapser:hover {
+  background: var(--jp-brand-color0);
+  opacity: 1;
+}
+
+/* Command mode */
+
+.jp-Notebook.jp-mod-commandMode .jp-Cell.jp-mod-selected {
+  background: var(--jp-notebook-multiselected-color);
+}
+
+.jp-Notebook.jp-mod-commandMode
+  .jp-Cell.jp-mod-active.jp-mod-selected:not(.jp-mod-multiSelected) {
+  background: transparent;
+}
+
+/* Edit mode */
+
+.jp-Notebook.jp-mod-editMode .jp-Cell.jp-mod-active .jp-InputArea-editor {
+  border: var(--jp-border-width) solid var(--jp-cell-editor-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+  background-color: var(--jp-cell-editor-active-background);
+}
+
+/*-----------------------------------------------------------------------------
+| Notebook drag and drop
+|----------------------------------------------------------------------------*/
+
+.jp-Notebook-cell.jp-mod-dropSource {
+  opacity: 0.5;
+}
+
+.jp-Notebook-cell.jp-mod-dropTarget,
+.jp-Notebook.jp-mod-commandMode
+  .jp-Notebook-cell.jp-mod-active.jp-mod-selected.jp-mod-dropTarget {
+  border-top-color: var(--jp-private-notebook-selected-color);
+  border-top-style: solid;
+  border-top-width: 2px;
+}
+
+.jp-dragImage {
+  display: block;
+  flex-direction: row;
+  width: var(--jp-private-notebook-dragImage-width);
+  height: var(--jp-private-notebook-dragImage-height);
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  background: var(--jp-cell-editor-background);
+  overflow: visible;
+}
+
+.jp-dragImage-singlePrompt {
+  box-shadow: 2px 2px 4px 0 rgba(0, 0, 0, 0.12);
+}
+
+.jp-dragImage .jp-dragImage-content {
+  flex: 1 1 auto;
+  z-index: 2;
+  font-size: var(--jp-code-font-size);
+  font-family: var(--jp-code-font-family);
+  line-height: var(--jp-code-line-height);
+  padding: var(--jp-code-padding);
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  background: var(--jp-cell-editor-background-color);
+  color: var(--jp-content-font-color3);
+  text-align: left;
+  margin: 4px 4px 4px 0;
+}
+
+.jp-dragImage .jp-dragImage-prompt {
+  flex: 0 0 auto;
+  min-width: 36px;
+  color: var(--jp-cell-inprompt-font-color);
+  padding: var(--jp-code-padding);
+  padding-left: 12px;
+  font-family: var(--jp-cell-prompt-font-family);
+  letter-spacing: var(--jp-cell-prompt-letter-spacing);
+  line-height: 1.9;
+  font-size: var(--jp-code-font-size);
+  border: var(--jp-border-width) solid transparent;
+}
+
+.jp-dragImage-multipleBack {
+  z-index: -1;
+  position: absolute;
+  height: 32px;
+  width: 300px;
+  top: 8px;
+  left: 8px;
+  background: var(--jp-layout-color2);
+  border: var(--jp-border-width) solid var(--jp-input-border-color);
+  box-shadow: 2px 2px 4px 0 rgba(0, 0, 0, 0.12);
+}
+
+/*-----------------------------------------------------------------------------
+| Cell toolbar
+|----------------------------------------------------------------------------*/
+
+.jp-NotebookTools {
+  display: block;
+  min-width: var(--jp-sidebar-min-width);
+  color: var(--jp-ui-font-color1);
+  background: var(--jp-layout-color1);
+
+  /* This is needed so that all font sizing of children done in ems is
+    * relative to this base size */
+  font-size: var(--jp-ui-font-size1);
+  overflow: auto;
+}
+
+.jp-ActiveCellTool {
+  padding: 12px 0;
+  display: flex;
+}
+
+.jp-ActiveCellTool-Content {
+  flex: 1 1 auto;
+}
+
+.jp-ActiveCellTool .jp-ActiveCellTool-CellContent {
+  background: var(--jp-cell-editor-background);
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  border-radius: 0;
+  min-height: 29px;
+}
+
+.jp-ActiveCellTool .jp-InputPrompt {
+  min-width: calc(var(--jp-cell-prompt-width) * 0.75);
+}
+
+.jp-ActiveCellTool-CellContent > pre {
+  padding: 5px 4px;
+  margin: 0;
+  white-space: normal;
+}
+
+.jp-MetadataEditorTool {
+  flex-direction: column;
+  padding: 12px 0;
+}
+
+.jp-RankedPanel > :not(:first-child) {
+  margin-top: 12px;
+}
+
+.jp-KeySelector select.jp-mod-styled {
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color0);
+  border: var(--jp-border-width) solid var(--jp-border-color1);
+}
+
+.jp-KeySelector label,
+.jp-MetadataEditorTool label,
+.jp-NumberSetter label {
+  line-height: 1.4;
+}
+
+.jp-NotebookTools .jp-select-wrapper {
+  margin-top: 4px;
+  margin-bottom: 0;
+}
+
+.jp-NumberSetter input {
+  width: 100%;
+  margin-top: 4px;
+}
+
+.jp-NotebookTools .jp-Collapse {
+  margin-top: 16px;
+}
+
+/*-----------------------------------------------------------------------------
+| Presentation Mode (.jp-mod-presentationMode)
+|----------------------------------------------------------------------------*/
+
+.jp-mod-presentationMode .jp-Notebook {
+  --jp-content-font-size1: var(--jp-content-presentation-font-size1);
+  --jp-code-font-size: var(--jp-code-presentation-font-size);
+}
+
+.jp-mod-presentationMode .jp-Notebook .jp-Cell .jp-InputPrompt,
+.jp-mod-presentationMode .jp-Notebook .jp-Cell .jp-OutputPrompt {
+  flex: 0 0 110px;
+}
+
+/*-----------------------------------------------------------------------------
+| Side-by-side Mode (.jp-mod-sideBySide)
+|----------------------------------------------------------------------------*/
+.jp-mod-sideBySide.jp-Notebook .jp-Notebook-cell {
+  margin-top: 3em;
+  margin-bottom: 3em;
+  margin-left: 5%;
+  margin-right: 5%;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell {
+  display: grid;
+  grid-template-columns: minmax(0, 1fr) min-content minmax(
+      0,
+      var(--jp-side-by-side-output-size)
+    );
+  grid-template-rows: auto minmax(0, 1fr) auto;
+  grid-template-areas:
+    'header header header'
+    'input handle output'
+    'footer footer footer';
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell.jp-mod-resizedCell {
+  grid-template-columns: minmax(0, 1fr) min-content minmax(
+      0,
+      var(--jp-side-by-side-resized-cell)
+    );
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellHeader {
+  grid-area: header;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-Cell-inputWrapper {
+  grid-area: input;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-Cell-outputWrapper {
+  /* overwrite the default margin (no vertical separation needed in side by side move */
+  margin-top: 0;
+  grid-area: output;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellFooter {
+  grid-area: footer;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellResizeHandle {
+  grid-area: handle;
+  user-select: none;
+  display: block;
+  height: 100%;
+  cursor: ew-resize;
+  padding: 0 var(--jp-cell-padding);
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellResizeHandle::after {
+  content: '';
+  display: block;
+  background: var(--jp-border-color2);
+  height: 100%;
+  width: 5px;
+}
+
+.jp-mod-sideBySide.jp-Notebook
+  .jp-CodeCell.jp-mod-resizedCell
+  .jp-CellResizeHandle::after {
+  background: var(--jp-border-color0);
+}
+
+.jp-CellResizeHandle {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Placeholder
+|----------------------------------------------------------------------------*/
+
+.jp-Cell-Placeholder {
+  padding-left: 55px;
+}
+
+.jp-Cell-Placeholder-wrapper {
+  background: #fff;
+  border: 1px solid;
+  border-color: #e5e6e9 #dfe0e4 #d0d1d5;
+  border-radius: 4px;
+  -webkit-border-radius: 4px;
+  margin: 10px 15px;
+}
+
+.jp-Cell-Placeholder-wrapper-inner {
+  padding: 15px;
+  position: relative;
+}
+
+.jp-Cell-Placeholder-wrapper-body {
+  background-repeat: repeat;
+  background-size: 50% auto;
+}
+
+.jp-Cell-Placeholder-wrapper-body div {
+  background: #f6f7f8;
+  background-image: -webkit-linear-gradient(
+    left,
+    #f6f7f8 0%,
+    #edeef1 20%,
+    #f6f7f8 40%,
+    #f6f7f8 100%
+  );
+  background-repeat: no-repeat;
+  background-size: 800px 104px;
+  height: 104px;
+  position: absolute;
+  right: 15px;
+  left: 15px;
+  top: 15px;
+}
+
+div.jp-Cell-Placeholder-h1 {
+  top: 20px;
+  height: 20px;
+  left: 15px;
+  width: 150px;
+}
+
+div.jp-Cell-Placeholder-h2 {
+  left: 15px;
+  top: 50px;
+  height: 10px;
+  width: 100px;
+}
+
+div.jp-Cell-Placeholder-content-1,
+div.jp-Cell-Placeholder-content-2,
+div.jp-Cell-Placeholder-content-3 {
+  left: 15px;
+  right: 15px;
+  height: 10px;
+}
+
+div.jp-Cell-Placeholder-content-1 {
+  top: 100px;
+}
+
+div.jp-Cell-Placeholder-content-2 {
+  top: 120px;
+}
+
+div.jp-Cell-Placeholder-content-3 {
+  top: 140px;
+}
+
+</style>
+<style type="text/css">
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*
+The following CSS variables define the main, public API for styling JupyterLab.
+These variables should be used by all plugins wherever possible. In other
+words, plugins should not define custom colors, sizes, etc unless absolutely
+necessary. This enables users to change the visual theme of JupyterLab
+by changing these variables.
+
+Many variables appear in an ordered sequence (0,1,2,3). These sequences
+are designed to work well together, so for example, `--jp-border-color1` should
+be used with `--jp-layout-color1`. The numbers have the following meanings:
+
+* 0: super-primary, reserved for special emphasis
+* 1: primary, most important under normal situations
+* 2: secondary, next most important under normal situations
+* 3: tertiary, next most important under normal situations
+
+Throughout JupyterLab, we are mostly following principles from Google's
+Material Design when selecting colors. We are not, however, following
+all of MD as it is not optimized for dense, information rich UIs.
+*/
+
+:root {
+  /* Elevation
+   *
+   * We style box-shadows using Material Design's idea of elevation. These particular numbers are taken from here:
+   *
+   * https://github.com/material-components/material-components-web
+   * https://material-components-web.appspot.com/elevation.html
+   */
+
+  --jp-shadow-base-lightness: 0;
+  --jp-shadow-umbra-color: rgba(
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    0.2
+  );
+  --jp-shadow-penumbra-color: rgba(
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    0.14
+  );
+  --jp-shadow-ambient-color: rgba(
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    0.12
+  );
+  --jp-elevation-z0: none;
+  --jp-elevation-z1: 0 2px 1px -1px var(--jp-shadow-umbra-color),
+    0 1px 1px 0 var(--jp-shadow-penumbra-color),
+    0 1px 3px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z2: 0 3px 1px -2px var(--jp-shadow-umbra-color),
+    0 2px 2px 0 var(--jp-shadow-penumbra-color),
+    0 1px 5px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z4: 0 2px 4px -1px var(--jp-shadow-umbra-color),
+    0 4px 5px 0 var(--jp-shadow-penumbra-color),
+    0 1px 10px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z6: 0 3px 5px -1px var(--jp-shadow-umbra-color),
+    0 6px 10px 0 var(--jp-shadow-penumbra-color),
+    0 1px 18px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z8: 0 5px 5px -3px var(--jp-shadow-umbra-color),
+    0 8px 10px 1px var(--jp-shadow-penumbra-color),
+    0 3px 14px 2px var(--jp-shadow-ambient-color);
+  --jp-elevation-z12: 0 7px 8px -4px var(--jp-shadow-umbra-color),
+    0 12px 17px 2px var(--jp-shadow-penumbra-color),
+    0 5px 22px 4px var(--jp-shadow-ambient-color);
+  --jp-elevation-z16: 0 8px 10px -5px var(--jp-shadow-umbra-color),
+    0 16px 24px 2px var(--jp-shadow-penumbra-color),
+    0 6px 30px 5px var(--jp-shadow-ambient-color);
+  --jp-elevation-z20: 0 10px 13px -6px var(--jp-shadow-umbra-color),
+    0 20px 31px 3px var(--jp-shadow-penumbra-color),
+    0 8px 38px 7px var(--jp-shadow-ambient-color);
+  --jp-elevation-z24: 0 11px 15px -7px var(--jp-shadow-umbra-color),
+    0 24px 38px 3px var(--jp-shadow-penumbra-color),
+    0 9px 46px 8px var(--jp-shadow-ambient-color);
+
+  /* Borders
+   *
+   * The following variables, specify the visual styling of borders in JupyterLab.
+   */
+
+  --jp-border-width: 1px;
+  --jp-border-color0: var(--md-grey-400);
+  --jp-border-color1: var(--md-grey-400);
+  --jp-border-color2: var(--md-grey-300);
+  --jp-border-color3: var(--md-grey-200);
+  --jp-inverse-border-color: var(--md-grey-600);
+  --jp-border-radius: 2px;
+
+  /* UI Fonts
+   *
+   * The UI font CSS variables are used for the typography all of the JupyterLab
+   * user interface elements that are not directly user generated content.
+   *
+   * The font sizing here is done assuming that the body font size of --jp-ui-font-size1
+   * is applied to a parent element. When children elements, such as headings, are sized
+   * in em all things will be computed relative to that body size.
+   */
+
+  --jp-ui-font-scale-factor: 1.2;
+  --jp-ui-font-size0: 0.83333em;
+  --jp-ui-font-size1: 13px; /* Base font size */
+  --jp-ui-font-size2: 1.2em;
+  --jp-ui-font-size3: 1.44em;
+  --jp-ui-font-family: system-ui, -apple-system, blinkmacsystemfont, 'Segoe UI',
+    helvetica, arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji',
+    'Segoe UI Symbol';
+
+  /*
+   * Use these font colors against the corresponding main layout colors.
+   * In a light theme, these go from dark to light.
+   */
+
+  /* Defaults use Material Design specification */
+  --jp-ui-font-color0: rgba(0, 0, 0, 1);
+  --jp-ui-font-color1: rgba(0, 0, 0, 0.87);
+  --jp-ui-font-color2: rgba(0, 0, 0, 0.54);
+  --jp-ui-font-color3: rgba(0, 0, 0, 0.38);
+
+  /*
+   * Use these against the brand/accent/warn/error colors.
+   * These will typically go from light to darker, in both a dark and light theme.
+   */
+
+  --jp-ui-inverse-font-color0: rgba(255, 255, 255, 1);
+  --jp-ui-inverse-font-color1: rgba(255, 255, 255, 1);
+  --jp-ui-inverse-font-color2: rgba(255, 255, 255, 0.7);
+  --jp-ui-inverse-font-color3: rgba(255, 255, 255, 0.5);
+
+  /* Content Fonts
+   *
+   * Content font variables are used for typography of user generated content.
+   *
+   * The font sizing here is done assuming that the body font size of --jp-content-font-size1
+   * is applied to a parent element. When children elements, such as headings, are sized
+   * in em all things will be computed relative to that body size.
+   */
+
+  --jp-content-line-height: 1.6;
+  --jp-content-font-scale-factor: 1.2;
+  --jp-content-font-size0: 0.83333em;
+  --jp-content-font-size1: 14px; /* Base font size */
+  --jp-content-font-size2: 1.2em;
+  --jp-content-font-size3: 1.44em;
+  --jp-content-font-size4: 1.728em;
+  --jp-content-font-size5: 2.0736em;
+
+  /* This gives a magnification of about 125% in presentation mode over normal. */
+  --jp-content-presentation-font-size1: 17px;
+  --jp-content-heading-line-height: 1;
+  --jp-content-heading-margin-top: 1.2em;
+  --jp-content-heading-margin-bottom: 0.8em;
+  --jp-content-heading-font-weight: 500;
+
+  /* Defaults use Material Design specification */
+  --jp-content-font-color0: rgba(0, 0, 0, 1);
+  --jp-content-font-color1: rgba(0, 0, 0, 0.87);
+  --jp-content-font-color2: rgba(0, 0, 0, 0.54);
+  --jp-content-font-color3: rgba(0, 0, 0, 0.38);
+  --jp-content-link-color: var(--md-blue-900);
+  --jp-content-font-family: system-ui, -apple-system, blinkmacsystemfont,
+    'Segoe UI', helvetica, arial, sans-serif, 'Apple Color Emoji',
+    'Segoe UI Emoji', 'Segoe UI Symbol';
+
+  /*
+   * Code Fonts
+   *
+   * Code font variables are used for typography of code and other monospaces content.
+   */
+
+  --jp-code-font-size: 13px;
+  --jp-code-line-height: 1.3077; /* 17px for 13px base */
+  --jp-code-padding: 5px; /* 5px for 13px base, codemirror highlighting needs integer px value */
+  --jp-code-font-family-default: menlo, consolas, 'DejaVu Sans Mono', monospace;
+  --jp-code-font-family: var(--jp-code-font-family-default);
+
+  /* This gives a magnification of about 125% in presentation mode over normal. */
+  --jp-code-presentation-font-size: 16px;
+
+  /* may need to tweak cursor width if you change font size */
+  --jp-code-cursor-width0: 1.4px;
+  --jp-code-cursor-width1: 2px;
+  --jp-code-cursor-width2: 4px;
+
+  /* Layout
+   *
+   * The following are the main layout colors use in JupyterLab. In a light
+   * theme these would go from light to dark.
+   */
+
+  --jp-layout-color0: white;
+  --jp-layout-color1: white;
+  --jp-layout-color2: var(--md-grey-200);
+  --jp-layout-color3: var(--md-grey-400);
+  --jp-layout-color4: var(--md-grey-600);
+
+  /* Inverse Layout
+   *
+   * The following are the inverse layout colors use in JupyterLab. In a light
+   * theme these would go from dark to light.
+   */
+
+  --jp-inverse-layout-color0: #111;
+  --jp-inverse-layout-color1: var(--md-grey-900);
+  --jp-inverse-layout-color2: var(--md-grey-800);
+  --jp-inverse-layout-color3: var(--md-grey-700);
+  --jp-inverse-layout-color4: var(--md-grey-600);
+
+  /* Brand/accent */
+
+  --jp-brand-color0: var(--md-blue-900);
+  --jp-brand-color1: var(--md-blue-700);
+  --jp-brand-color2: var(--md-blue-300);
+  --jp-brand-color3: var(--md-blue-100);
+  --jp-brand-color4: var(--md-blue-50);
+  --jp-accent-color0: var(--md-green-900);
+  --jp-accent-color1: var(--md-green-700);
+  --jp-accent-color2: var(--md-green-300);
+  --jp-accent-color3: var(--md-green-100);
+
+  /* State colors (warn, error, success, info) */
+
+  --jp-warn-color0: var(--md-orange-900);
+  --jp-warn-color1: var(--md-orange-700);
+  --jp-warn-color2: var(--md-orange-300);
+  --jp-warn-color3: var(--md-orange-100);
+  --jp-error-color0: var(--md-red-900);
+  --jp-error-color1: var(--md-red-700);
+  --jp-error-color2: var(--md-red-300);
+  --jp-error-color3: var(--md-red-100);
+  --jp-success-color0: var(--md-green-900);
+  --jp-success-color1: var(--md-green-700);
+  --jp-success-color2: var(--md-green-300);
+  --jp-success-color3: var(--md-green-100);
+  --jp-info-color0: var(--md-cyan-900);
+  --jp-info-color1: var(--md-cyan-700);
+  --jp-info-color2: var(--md-cyan-300);
+  --jp-info-color3: var(--md-cyan-100);
+
+  /* Cell specific styles */
+
+  --jp-cell-padding: 5px;
+  --jp-cell-collapser-width: 8px;
+  --jp-cell-collapser-min-height: 20px;
+  --jp-cell-collapser-not-active-hover-opacity: 0.6;
+  --jp-cell-editor-background: var(--md-grey-100);
+  --jp-cell-editor-border-color: var(--md-grey-300);
+  --jp-cell-editor-box-shadow: inset 0 0 2px var(--md-blue-300);
+  --jp-cell-editor-active-background: var(--jp-layout-color0);
+  --jp-cell-editor-active-border-color: var(--jp-brand-color1);
+  --jp-cell-prompt-width: 64px;
+  --jp-cell-prompt-font-family: var(--jp-code-font-family-default);
+  --jp-cell-prompt-letter-spacing: 0;
+  --jp-cell-prompt-opacity: 1;
+  --jp-cell-prompt-not-active-opacity: 0.5;
+  --jp-cell-prompt-not-active-font-color: var(--md-grey-700);
+
+  /* A custom blend of MD grey and blue 600
+   * See https://meyerweb.com/eric/tools/color-blend/#546E7A:1E88E5:5:hex */
+  --jp-cell-inprompt-font-color: #307fc1;
+
+  /* A custom blend of MD grey and orange 600
+   * https://meyerweb.com/eric/tools/color-blend/#546E7A:F4511E:5:hex */
+  --jp-cell-outprompt-font-color: #bf5b3d;
+
+  /* Notebook specific styles */
+
+  --jp-notebook-padding: 10px;
+  --jp-notebook-select-background: var(--jp-layout-color1);
+  --jp-notebook-multiselected-color: var(--md-blue-50);
+
+  /* The scroll padding is calculated to fill enough space at the bottom of the
+  notebook to show one single-line cell (with appropriate padding) at the top
+  when the notebook is scrolled all the way to the bottom. We also subtract one
+  pixel so that no scrollbar appears if we have just one single-line cell in the
+  notebook. This padding is to enable a 'scroll past end' feature in a notebook.
+  */
+  --jp-notebook-scroll-padding: calc(
+    100% - var(--jp-code-font-size) * var(--jp-code-line-height) -
+      var(--jp-code-padding) - var(--jp-cell-padding) - 1px
+  );
+
+  /* Rendermime styles */
+
+  --jp-rendermime-error-background: #fdd;
+  --jp-rendermime-table-row-background: var(--md-grey-100);
+  --jp-rendermime-table-row-hover-background: var(--md-light-blue-50);
+
+  /* Dialog specific styles */
+
+  --jp-dialog-background: rgba(0, 0, 0, 0.25);
+
+  /* Console specific styles */
+
+  --jp-console-padding: 10px;
+
+  /* Toolbar specific styles */
+
+  --jp-toolbar-border-color: var(--jp-border-color1);
+  --jp-toolbar-micro-height: 8px;
+  --jp-toolbar-background: var(--jp-layout-color1);
+  --jp-toolbar-box-shadow: 0 0 2px 0 rgba(0, 0, 0, 0.24);
+  --jp-toolbar-header-margin: 4px 4px 0 4px;
+  --jp-toolbar-active-background: var(--md-grey-300);
+
+  /* Statusbar specific styles */
+
+  --jp-statusbar-height: 24px;
+
+  /* Input field styles */
+
+  --jp-input-box-shadow: inset 0 0 2px var(--md-blue-300);
+  --jp-input-active-background: var(--jp-layout-color1);
+  --jp-input-hover-background: var(--jp-layout-color1);
+  --jp-input-background: var(--md-grey-100);
+  --jp-input-border-color: var(--jp-inverse-border-color);
+  --jp-input-active-border-color: var(--jp-brand-color1);
+  --jp-input-active-box-shadow-color: rgba(19, 124, 189, 0.3);
+
+  /* General editor styles */
+
+  --jp-editor-selected-background: #d9d9d9;
+  --jp-editor-selected-focused-background: #d7d4f0;
+  --jp-editor-cursor-color: var(--jp-ui-font-color0);
+
+  /* Code mirror specific styles */
+
+  --jp-mirror-editor-keyword-color: #008000;
+  --jp-mirror-editor-atom-color: #88f;
+  --jp-mirror-editor-number-color: #080;
+  --jp-mirror-editor-def-color: #00f;
+  --jp-mirror-editor-variable-color: var(--md-grey-900);
+  --jp-mirror-editor-variable-2-color: rgb(0, 54, 109);
+  --jp-mirror-editor-variable-3-color: #085;
+  --jp-mirror-editor-punctuation-color: #05a;
+  --jp-mirror-editor-property-color: #05a;
+  --jp-mirror-editor-operator-color: #a2f;
+  --jp-mirror-editor-comment-color: #408080;
+  --jp-mirror-editor-string-color: #ba2121;
+  --jp-mirror-editor-string-2-color: #708;
+  --jp-mirror-editor-meta-color: #a2f;
+  --jp-mirror-editor-qualifier-color: #555;
+  --jp-mirror-editor-builtin-color: #008000;
+  --jp-mirror-editor-bracket-color: #997;
+  --jp-mirror-editor-tag-color: #170;
+  --jp-mirror-editor-attribute-color: #00c;
+  --jp-mirror-editor-header-color: blue;
+  --jp-mirror-editor-quote-color: #090;
+  --jp-mirror-editor-link-color: #00c;
+  --jp-mirror-editor-error-color: #f00;
+  --jp-mirror-editor-hr-color: #999;
+
+  /*
+    RTC user specific colors.
+    These colors are used for the cursor, username in the editor,
+    and the icon of the user.
+  */
+
+  --jp-collaborator-color1: #ffad8e;
+  --jp-collaborator-color2: #dac83d;
+  --jp-collaborator-color3: #72dd76;
+  --jp-collaborator-color4: #00e4d0;
+  --jp-collaborator-color5: #45d4ff;
+  --jp-collaborator-color6: #e2b1ff;
+  --jp-collaborator-color7: #ff9de6;
+
+  /* Vega extension styles */
+
+  --jp-vega-background: white;
+
+  /* Sidebar-related styles */
+
+  --jp-sidebar-min-width: 250px;
+
+  /* Search-related styles */
+
+  --jp-search-toggle-off-opacity: 0.5;
+  --jp-search-toggle-hover-opacity: 0.8;
+  --jp-search-toggle-on-opacity: 1;
+  --jp-search-selected-match-background-color: rgb(245, 200, 0);
+  --jp-search-selected-match-color: black;
+  --jp-search-unselected-match-background-color: var(
+    --jp-inverse-layout-color0
+  );
+  --jp-search-unselected-match-color: var(--jp-ui-inverse-font-color0);
+
+  /* Icon colors that work well with light or dark backgrounds */
+  --jp-icon-contrast-color0: var(--md-purple-600);
+  --jp-icon-contrast-color1: var(--md-green-600);
+  --jp-icon-contrast-color2: var(--md-pink-600);
+  --jp-icon-contrast-color3: var(--md-blue-600);
+
+  /* Button colors */
+  --jp-accept-color-normal: var(--md-blue-700);
+  --jp-accept-color-hover: var(--md-blue-800);
+  --jp-accept-color-active: var(--md-blue-900);
+  --jp-warn-color-normal: var(--md-red-700);
+  --jp-warn-color-hover: var(--md-red-800);
+  --jp-warn-color-active: var(--md-red-900);
+  --jp-reject-color-normal: var(--md-grey-600);
+  --jp-reject-color-hover: var(--md-grey-700);
+  --jp-reject-color-active: var(--md-grey-800);
+
+  /* File or activity icons and switch semantic variables */
+  --jp-jupyter-icon-color: #f37626;
+  --jp-notebook-icon-color: #f37626;
+  --jp-json-icon-color: var(--md-orange-700);
+  --jp-console-icon-background-color: var(--md-blue-700);
+  --jp-console-icon-color: white;
+  --jp-terminal-icon-background-color: var(--md-grey-800);
+  --jp-terminal-icon-color: var(--md-grey-200);
+  --jp-text-editor-icon-color: var(--md-grey-700);
+  --jp-inspector-icon-color: var(--md-grey-700);
+  --jp-switch-color: var(--md-grey-400);
+  --jp-switch-true-position-color: var(--md-orange-900);
+}
+</style>
+<style type="text/css">
+/* Force rendering true colors when outputing to pdf */
+* {
+  -webkit-print-color-adjust: exact;
+}
+
+/* Misc */
+a.anchor-link {
+  display: none;
+}
+
+/* Input area styling */
+.jp-InputArea {
+  overflow: hidden;
+}
+
+.jp-InputArea-editor {
+  overflow: hidden;
+}
+
+.cm-editor.cm-s-jupyter .highlight pre {
+/* weird, but --jp-code-padding defined to be 5px but 4px horizontal padding is hardcoded for pre.cm-line */
+  padding: var(--jp-code-padding) 4px;
+  margin: 0;
+
+  font-family: inherit;
+  font-size: inherit;
+  line-height: inherit;
+  color: inherit;
+
+}
+
+.jp-OutputArea-output pre {
+  line-height: inherit;
+  font-family: inherit;
+}
+
+.jp-RenderedText pre {
+  color: var(--jp-content-font-color1);
+  font-size: var(--jp-code-font-size);
+}
+
+/* Hiding the collapser by default */
+.jp-Collapser {
+  display: none;
+}
+
+@page {
+    margin: 0.5in; /* Margin for each printed piece of paper */
+}
+
+@media print {
+  .jp-Cell-inputWrapper,
+  .jp-Cell-outputWrapper {
+    display: block;
+  }
+}
+</style>
+<!-- Load mathjax -->
+<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/latest.js?config=TeX-AMS_CHTML-full,Safe"> </script>
+<!-- MathJax configuration -->
+<script type="text/x-mathjax-config">
+    init_mathjax = function() {
+        if (window.MathJax) {
+        // MathJax loaded
+            MathJax.Hub.Config({
+                TeX: {
+                    equationNumbers: {
+                    autoNumber: "AMS",
+                    useLabelIds: true
+                    }
+                },
+                tex2jax: {
+                    inlineMath: [ ['$','$'], ["\\(","\\)"] ],
+                    displayMath: [ ['$$','$$'], ["\\[","\\]"] ],
+                    processEscapes: true,
+                    processEnvironments: true
+                },
+                displayAlign: 'center',
+                CommonHTML: {
+                    linebreaks: {
+                    automatic: true
+                    }
+                }
+            });
+
+            MathJax.Hub.Queue(["Typeset", MathJax.Hub]);
+        }
+    }
+    init_mathjax();
+    </script>
+<!-- End of mathjax configuration --><script type="module">
+  document.addEventListener("DOMContentLoaded", async () => {
+    const diagrams = document.querySelectorAll(".jp-Mermaid > pre.mermaid");
+    // do not load mermaidjs if not needed
+    if (!diagrams.length) {
+      return;
+    }
+    const mermaid = (await import("https://cdnjs.cloudflare.com/ajax/libs/mermaid/10.6.0/mermaid.esm.min.mjs")).default;
+    const parser = new DOMParser();
+
+    mermaid.initialize({
+      maxTextSize: 100000,
+      startOnLoad: false,
+      fontFamily: window
+        .getComputedStyle(document.body)
+        .getPropertyValue("--jp-ui-font-family"),
+      theme: document.querySelector("body[data-jp-theme-light='true']")
+        ? "default"
+        : "dark",
+    });
+
+    let _nextMermaidId = 0;
+
+    function makeMermaidImage(svg) {
+      const img = document.createElement("img");
+      const doc = parser.parseFromString(svg, "image/svg+xml");
+      const svgEl = doc.querySelector("svg");
+      const { maxWidth } = svgEl?.style || {};
+      const firstTitle = doc.querySelector("title");
+      const firstDesc = doc.querySelector("desc");
+
+      img.setAttribute("src", `data:image/svg+xml,${encodeURIComponent(svg)}`);
+      if (maxWidth) {
+        img.width = parseInt(maxWidth);
+      }
+      if (firstTitle) {
+        img.setAttribute("alt", firstTitle.textContent);
+      }
+      if (firstDesc) {
+        const caption = document.createElement("figcaption");
+        caption.className = "sr-only";
+        caption.textContent = firstDesc.textContent;
+        return [img, caption];
+      }
+      return [img];
+    }
+
+    async function makeMermaidError(text) {
+      let errorMessage = "";
+      try {
+        await mermaid.parse(text);
+      } catch (err) {
+        errorMessage = `${err}`;
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+<body class="jp-Notebook" data-jp-theme-light="true" data-jp-theme-name="JupyterLab Light">
+<main>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h1 id="Tracking-particles-in-brightfield">Tracking particles in brightfield<a class="anchor-link" href="#Tracking-particles-in-brightfield">¶</a></h1><p><strong>TL;DR</strong> We developed a new method to more accurately track colloidal particles in bright field images that do not resemble Gaussian features.</p>
+<p>The standard <code>locate</code> function in <code>trackpy</code> finds features by determining local maxima of intensity, thereby assuming the particles that need to be tracked have a Gaussian intensity distribution with a maximum in the center. While this is usually true for fluorescent particles, particles in bright field mode show a different intensity profile (see example images in this notebook).</p>
+<p>Because the intensity profile is usually different from a Gaussian in bright field mode, the <code>locate</code> function fails to accurately find the center of the particle. We have developed a new method that uses the edge of the particle to more accurately refine the position of the center of the particle as detected by the standard <code>locate</code> function.</p>
+<p><strong>Citing this work</strong>
+The algorithm we'll use is described in the following paper:
+"Colloid supported lipid bilayers for self-assembly", M. Rinaldin, R.W. Verweij, I. Chakrabory, D.J. Kraft, Soft Matter (2019) <a href="https://doi.org/10.1039/c8sm01661e">https://doi.org/10.1039/c8sm01661e</a>. It is implemented in <code>trackpy</code> as <code>locate_brightfield_ring</code>. If you're using this code in your work, please cite both the paper and the appropriate <code>trackpy</code> version.</p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="Preliminary-imports">Preliminary imports<a class="anchor-link" href="#Preliminary-imports">¶</a></h2>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [1]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="kn">from</span> <span class="nn">__future__</span> <span class="kn">import</span> <span class="n">division</span><span class="p">,</span> <span class="n">unicode_literals</span><span class="p">,</span> <span class="n">print_function</span>  <span class="c1"># for compatibility with Python 2 and 3</span>
+
+<span class="kn">import</span> <span class="nn">matplotlib</span> <span class="k">as</span> <span class="nn">mpl</span>
+<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
+
+<span class="c1"># change the following to %matplotlib notebook for interactive plotting</span>
+<span class="o">%</span><span class="k">matplotlib</span> inline
+
+<span class="c1"># Optionally, tweak styles.</span>
+<span class="n">mpl</span><span class="o">.</span><span class="n">rc</span><span class="p">(</span><span class="s1">'figure'</span><span class="p">,</span>  <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">10</span><span class="p">,</span> <span class="mi">5</span><span class="p">))</span>
+<span class="n">mpl</span><span class="o">.</span><span class="n">rc</span><span class="p">(</span><span class="s1">'image'</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">'gray'</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>We also might want to use scientific Python libraries. Finally, we'll import <code>trackpy</code> itself and its sister project, <code>pims</code>.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [2]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="kn">from</span> <span class="nn">pandas</span> <span class="kn">import</span> <span class="n">DataFrame</span><span class="p">,</span> <span class="n">Series</span>  <span class="c1"># for convenience</span>
+
+<span class="kn">import</span> <span class="nn">pims</span>
+<span class="kn">import</span> <span class="nn">trackpy</span> <span class="k">as</span> <span class="nn">tp</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="Step-1:-Read-the-Data">Step 1: Read the Data<a class="anchor-link" href="#Step-1:-Read-the-Data">¶</a></h2>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h3 id="Opening-images-or-video">Opening images or video<a class="anchor-link" href="#Opening-images-or-video">¶</a></h3><p>We open the files with <code>pims</code>:</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [3]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">frames</span> <span class="o">=</span> <span class="n">pims</span><span class="o">.</span><span class="n">open</span><span class="p">(</span><span class="s1">'../sample_data/brightfield/*.png'</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [4]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">micron_per_pixel</span> <span class="o">=</span> <span class="mf">0.15192872980868</span>
+<span class="n">feature_diameter</span> <span class="o">=</span> <span class="mf">2.12</span> <span class="c1"># um</span>
+<span class="n">radius</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="n">feature_diameter</span><span class="o">/</span><span class="mf">2.0</span><span class="o">/</span><span class="n">micron_per_pixel</span><span class="p">))</span>
+<span class="k">if</span> <span class="n">radius</span> <span class="o">%</span> <span class="mi">2</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
+    <span class="n">radius</span> <span class="o">+=</span> <span class="mi">1</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'Using a radius of </span><span class="si">{:d}</span><span class="s1"> px'</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">radius</span><span class="p">))</span>
+<span class="n">frames</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>Using a radius of 7 px
+</pre>
+</div>
+</div>
+<div class="jp-OutputArea-child jp-OutputArea-executeResult">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[4]:</div>
+<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
+<pre>&lt;Frames&gt;
+Source: /Users/nkeim/projects/trackpy/trackpy-examples/sample_data/brightfield/*.png
+Length: 50 frames
+Frame Shape: (500, 500)
+Pixel Datatype: uint8</pre>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>These are colloidal particles diffusing in quasi-2D on a substrate. The images are cropped to focus on just five particles for 50 frames (approximately 7 seconds). Let's have a look a the first frame:</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [5]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">frames</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child jp-OutputArea-executeResult">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[5]:</div>
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+<img alt="No description has been provided for this image" 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" style="width: 512"/>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="Step-2:-Locate-Features">Step 2: Locate Features<a class="anchor-link" href="#Step-2:-Locate-Features">¶</a></h2>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h3 id="Using-the-locate-function">Using the locate function<a class="anchor-link" href="#Using-the-locate-function">¶</a></h3>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>First, we'll try the standard <code>locate</code> function to find the particle positions:</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [6]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># we use a slightly larger radius</span>
+<span class="n">f_locate</span> <span class="o">=</span> <span class="n">tp</span><span class="o">.</span><span class="n">locate</span><span class="p">(</span><span class="n">frames</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">radius</span><span class="o">+</span><span class="mi">2</span><span class="p">,</span> <span class="n">minmass</span><span class="o">=</span><span class="mi">300</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [7]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">tp</span><span class="o">.</span><span class="n">annotate</span><span class="p">(</span><span class="n">f_locate</span><span class="p">,</span> <span class="n">frames</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">plot_style</span><span class="o">=</span><span class="p">{</span><span class="s1">'markersize'</span><span class="p">:</span> <span class="n">radius</span><span class="p">});</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedImage jp-OutputArea-output" tabindex="0">
+<img alt="No description has been provided for this image" class="jp-needs-light-background" 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+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>Let's zoom in a bit more on the three particles in the top right corner:</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [8]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">()</span>
+<span class="n">tp</span><span class="o">.</span><span class="n">annotate</span><span class="p">(</span><span class="n">f_locate</span><span class="p">,</span> <span class="n">frames</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">plot_style</span><span class="o">=</span><span class="p">{</span><span class="s1">'markersize'</span><span class="p">:</span> <span class="n">radius</span><span class="o">*</span><span class="mi">2</span><span class="p">},</span> <span class="n">ax</span><span class="o">=</span><span class="n">plt</span><span class="o">.</span><span class="n">gca</span><span class="p">())</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">ylim</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">150</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">xlim</span><span class="p">(</span><span class="mi">200</span><span class="p">,</span> <span class="mi">450</span><span class="p">);</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedImage jp-OutputArea-output" tabindex="0">
+<img alt="No description has been provided for this image" class="jp-needs-light-background" 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
+"/>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>All positions seem to be slightly displaced from the center! This is because <code>locate</code> assumes each particle to be a Gaussian feature (as is the case for e.g. fluorescent particles), while in this case that does not describe our data well.</p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h3 id="Using-the-locate_brightfield_ring-function">Using the locate_brightfield_ring function<a class="anchor-link" href="#Using-the-locate_brightfield_ring-function">¶</a></h3>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>Now, we'll try the <code>locate_brightfield_ring</code> function to find the particle positions. Instead of finding a Gaussian maximum, this makes the following assumptions:</p>
+<ol>
+<li>The particle is bright on a dark background</li>
+<li>There is a dark ring around the bright particle</li>
+</ol>
+<p>The position is located by first using the standard <code>locate</code> function as an initial guess and subsequently refined by finding the dark edge around the particle.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [9]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># we use a slightly larger radius</span>
+<span class="n">f_bf</span> <span class="o">=</span> <span class="n">tp</span><span class="o">.</span><span class="n">locate_brightfield_ring</span><span class="p">(</span><span class="n">frames</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="mf">2.0</span><span class="o">*</span><span class="n">radius</span><span class="o">+</span><span class="mi">1</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [10]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">tp</span><span class="o">.</span><span class="n">annotate</span><span class="p">(</span><span class="n">f_bf</span><span class="p">,</span> <span class="n">frames</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">plot_style</span><span class="o">=</span><span class="p">{</span><span class="s1">'markersize'</span><span class="p">:</span> <span class="n">radius</span><span class="p">});</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
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+<img alt="No description has been provided for this image" class="jp-needs-light-background" 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+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>Let's zoom in a bit more on the three particles in the top right corner again:</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [11]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">()</span>
+<span class="n">tp</span><span class="o">.</span><span class="n">annotate</span><span class="p">(</span><span class="n">f_bf</span><span class="p">,</span> <span class="n">frames</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">plot_style</span><span class="o">=</span><span class="p">{</span><span class="s1">'markersize'</span><span class="p">:</span> <span class="n">radius</span><span class="o">*</span><span class="mi">2</span><span class="p">},</span> <span class="n">ax</span><span class="o">=</span><span class="n">plt</span><span class="o">.</span><span class="n">gca</span><span class="p">())</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">ylim</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">150</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">xlim</span><span class="p">(</span><span class="mi">200</span><span class="p">,</span> <span class="mi">450</span><span class="p">);</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedImage jp-OutputArea-output" tabindex="0">
+<img alt="No description has been provided for this image" class="jp-needs-light-background" 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
+"/>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>While the function can run without the <code>previous_coords</code> argument, it is usually fastest to supply the initial positions yourself, because the exact parameters we have to pass to the locate function depend on the type of image.</p>
+<p>Here, we'll use our previous result <code>f_locate</code> as an initial guess:</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [12]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># we use a slightly larger radius</span>
+<span class="n">f_bf_with_prev</span> <span class="o">=</span> <span class="n">tp</span><span class="o">.</span><span class="n">locate_brightfield_ring</span><span class="p">(</span><span class="n">frames</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="mf">2.0</span><span class="o">*</span><span class="n">radius</span><span class="o">+</span><span class="mi">1</span><span class="p">,</span> <span class="n">previous_coords</span><span class="o">=</span><span class="n">f_locate</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h3 id="Comparison-of-the-three-methods">Comparison of the three methods<a class="anchor-link" href="#Comparison-of-the-three-methods">¶</a></h3>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [13]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">plot_properties</span> <span class="o">=</span> <span class="nb">dict</span><span class="p">(</span><span class="n">markeredgewidth</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">markersize</span><span class="o">=</span><span class="n">radius</span><span class="o">*</span><span class="mi">2</span><span class="p">,</span> <span class="n">markerfacecolor</span><span class="o">=</span><span class="s1">'none'</span><span class="p">)</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">()</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">frames</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">f_locate</span><span class="p">[</span><span class="s1">'x'</span><span class="p">],</span> <span class="n">f_locate</span><span class="p">[</span><span class="s1">'y'</span><span class="p">],</span> <span class="s1">'o'</span><span class="p">,</span> <span class="n">markeredgecolor</span><span class="o">=</span><span class="s1">'red'</span><span class="p">,</span> <span class="o">**</span><span class="n">plot_properties</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">f_bf</span><span class="p">[</span><span class="s1">'x'</span><span class="p">],</span> <span class="n">f_bf</span><span class="p">[</span><span class="s1">'y'</span><span class="p">],</span> <span class="s1">'o'</span><span class="p">,</span> <span class="n">markeredgecolor</span><span class="o">=</span><span class="s1">'green'</span><span class="p">,</span> <span class="o">**</span><span class="n">plot_properties</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">f_bf_with_prev</span><span class="p">[</span><span class="s1">'x'</span><span class="p">],</span> <span class="n">f_bf_with_prev</span><span class="p">[</span><span class="s1">'y'</span><span class="p">],</span> <span class="s1">'x'</span><span class="p">,</span> <span class="n">markeredgecolor</span><span class="o">=</span><span class="s1">'blue'</span><span class="p">,</span> <span class="o">**</span><span class="n">plot_properties</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">ylim</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">150</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">xlim</span><span class="p">(</span><span class="mi">200</span><span class="p">,</span> <span class="mi">450</span><span class="p">);</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
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
+"/>
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+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [14]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">()</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">frames</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">f_locate</span><span class="p">[</span><span class="s1">'x'</span><span class="p">],</span> <span class="n">f_locate</span><span class="p">[</span><span class="s1">'y'</span><span class="p">],</span> <span class="s1">'o'</span><span class="p">,</span> <span class="n">markeredgecolor</span><span class="o">=</span><span class="s1">'red'</span><span class="p">,</span> <span class="o">**</span><span class="n">plot_properties</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">f_bf</span><span class="p">[</span><span class="s1">'x'</span><span class="p">],</span> <span class="n">f_bf</span><span class="p">[</span><span class="s1">'y'</span><span class="p">],</span> <span class="s1">'o'</span><span class="p">,</span> <span class="n">markeredgecolor</span><span class="o">=</span><span class="s1">'green'</span><span class="p">,</span> <span class="o">**</span><span class="n">plot_properties</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">f_bf_with_prev</span><span class="p">[</span><span class="s1">'x'</span><span class="p">],</span> <span class="n">f_bf_with_prev</span><span class="p">[</span><span class="s1">'y'</span><span class="p">],</span> <span class="s1">'x'</span><span class="p">,</span> <span class="n">markeredgecolor</span><span class="o">=</span><span class="s1">'blue'</span><span class="p">,</span> <span class="o">**</span><span class="n">plot_properties</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">ylim</span><span class="p">(</span><span class="mi">103</span><span class="p">,</span> <span class="mi">125</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">xlim</span><span class="p">(</span><span class="mi">388</span><span class="p">,</span> <span class="mi">410</span><span class="p">);</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
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+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
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+<p>As can be seen, the position found with <code>locate_brightfield_ring</code> is more accurate than with the standard <code>locate</code> function. Also, the positions of <code>locate_brightfield_ring</code> with or without initial positions overlap nicely.</p>
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+<h2 id="Step-3:-Linking-particle-positions-from-all-frames-into-trajectories">Step 3: Linking particle positions from all frames into trajectories<a class="anchor-link" href="#Step-3:-Linking-particle-positions-from-all-frames-into-trajectories">¶</a></h2><p>To track particles from all frames and link them into trajectories, we simply repeatedly call the <code>locate_brightfield_ring</code> function for all frames. We supply the positions of the previous frame as <code>previous_coords</code> and the linking happens automatically (for small enough displacements between frames).</p>
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+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [15]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">trajectories</span> <span class="o">=</span> <span class="p">[]</span>
+
+<span class="c1"># Take only the x and y positions from the standard `locate` function</span>
+<span class="n">previous_coords</span> <span class="o">=</span> <span class="n">f_locate</span><span class="p">[[</span><span class="s1">'x'</span><span class="p">,</span> <span class="s1">'y'</span><span class="p">]]</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
+
+<span class="c1"># Store the radius</span>
+<span class="n">previous_coords</span><span class="p">[</span><span class="s1">'r'</span><span class="p">]</span> <span class="o">=</span> <span class="n">radius</span>
+
+<span class="c1"># Number the particles, this will get copied for all frames</span>
+<span class="n">previous_coords</span><span class="p">[</span><span class="s1">'particle'</span><span class="p">]</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="nb">len</span><span class="p">(</span><span class="n">f_locate</span><span class="p">),</span> <span class="mi">1</span><span class="p">)</span>
+
+<span class="k">for</span> <span class="n">frame</span> <span class="ow">in</span> <span class="n">frames</span><span class="p">:</span>
+    <span class="c1"># The radius of the particle is fixed, but the radius of the feature can change based on focal plane</span>
+    <span class="n">average_radius</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">previous_coords</span><span class="p">[</span><span class="s1">'r'</span><span class="p">])</span>
+    
+    <span class="c1"># Locate particles in this frame based on the previous positions</span>
+    <span class="n">f_bf</span> <span class="o">=</span> <span class="n">tp</span><span class="o">.</span><span class="n">locate_brightfield_ring</span><span class="p">(</span><span class="n">frame</span><span class="p">,</span> <span class="mf">2.0</span><span class="o">*</span><span class="n">average_radius</span><span class="o">+</span><span class="mi">1</span><span class="p">,</span> <span class="n">previous_coords</span><span class="o">=</span><span class="n">previous_coords</span><span class="p">)</span>
+    
+    <span class="c1"># Store the result</span>
+    <span class="n">trajectories</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">f_bf</span><span class="p">)</span>
+    
+    <span class="c1"># Store the previous positions</span>
+    <span class="n">previous_coords</span> <span class="o">=</span> <span class="n">f_bf</span>
+
+<span class="c1"># Merge all into one dataframe</span>
+<span class="n">trajectories</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">concat</span><span class="p">(</span><span class="n">trajectories</span><span class="p">,</span> <span class="n">sort</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [16]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Inspect the position in the first 10 frames for particle 0</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">trajectories</span><span class="p">[</span><span class="n">trajectories</span><span class="p">[</span><span class="s1">'particle'</span><span class="p">]</span><span class="o">==</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">10</span><span class="p">))</span>
+
+<span class="c1"># Overlay trajectories on average of all frames</span>
+<span class="n">background</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">frames</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
+<span class="n">tp</span><span class="o">.</span><span class="n">plot_traj</span><span class="p">(</span><span class="n">trajectories</span><span class="p">,</span> <span class="n">superimpose</span><span class="o">=</span><span class="n">background</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">plot_style</span><span class="o">=</span><span class="p">{</span><span class="s1">'linewidth'</span><span class="p">:</span> <span class="mi">2</span><span class="p">});</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>   frame  particle         r           x          y
+0      0       0.0  7.601935  253.000233  24.020249
+0      1       0.0  8.434034  253.252220  24.365813
+0      2       0.0  8.496976  253.285044  23.378302
+0      3       0.0  8.449803  253.981701  22.670929
+0      4       0.0  8.519060  253.649710  23.176820
+0      5       0.0  8.429820  253.098564  22.892091
+0      6       0.0  8.461656  253.313602  23.485753
+0      7       0.0  8.485348  253.038358  24.058789
+0      8       0.0  8.032054  254.123851  24.519261
+0      9       0.0  8.454203  254.739058  24.397104
+</pre>
+</div>
+</div>
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedImage jp-OutputArea-output" tabindex="0">
+<img alt="No description has been provided for this image" class="jp-needs-light-background" 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
+"/>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>All particle trajectories seem to be tracked. Let's zoom in a bit more to verify this:</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [17]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">()</span>
+<span class="n">background</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">frames</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
+<span class="n">tp</span><span class="o">.</span><span class="n">plot_traj</span><span class="p">(</span><span class="n">trajectories</span><span class="p">,</span> <span class="n">superimpose</span><span class="o">=</span><span class="n">background</span><span class="p">,</span> <span class="n">ax</span><span class="o">=</span><span class="n">plt</span><span class="o">.</span><span class="n">gca</span><span class="p">(),</span> <span class="n">plot_style</span><span class="o">=</span><span class="p">{</span><span class="s1">'linewidth'</span><span class="p">:</span> <span class="mi">2</span><span class="p">})</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">ylim</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">150</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">xlim</span><span class="p">(</span><span class="mi">200</span><span class="p">,</span> <span class="mi">450</span><span class="p">);</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedImage jp-OutputArea-output" tabindex="0">
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+"/>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>Alternatively, you can use <a href="https://github.com/soft-matter/pimsviewer#example-03-annotating-features-on-a-video">Pimsviewer</a> to overlay the positions on your video to check if the tracking has succeeded. Now you can analyse your data using the accurate center positions of the particles.</p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h1 id="About-this-work">About this work<a class="anchor-link" href="#About-this-work">¶</a></h1><p>This tutorial was written by Ruben Verweij, as part of his PhD thesis in Daniela Kraft’s group at the Huygens-Kamerlingh-Onnes laboratory, Institute of Physics, Leiden University, The Netherlands. This work was supported by the Netherlands Organisation for Scientific Research (NWO/OCW) and the European Research Council (ERC).</p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><strong>Citing this work</strong>
+The algorithm is described in the following paper:
+"Colloid supported lipid bilayers for self-assembly", M. Rinaldin, R.W. Verweij, I. Chakrabory, D.J. Kraft, Soft Matter (2019) <a href="https://doi.org/10.1039/c8sm01661e">https://doi.org/10.1039/c8sm01661e</a>. It is implemented in <code>trackpy</code> as <code>locate_brightfield_ring</code>. If you're using this code in your work, please cite both the paper and the appropriate <code>trackpy</code> version.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [ ]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span> 
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div>
+</main>
+</body>
+</html>
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
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+  <a href="../_sources/tutorial/brightfield.rst.txt"
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+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
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+    <title>custom-feature-detection &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
+    <link rel="stylesheet" type="text/css" href="../_static/bootstrap-sphinx.css" />
+    <script data-url_root="../" id="documentation_options" src="../_static/documentation_options.js"></script>
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+    <script src="../_static/_sphinx_javascript_frameworks_compat.js"></script>
+    <script src="../_static/doctools.js"></script>
+    <link rel="index" title="Index" href="../genindex.html" />
+    <link rel="search" title="Search" href="../search.html" />
+    <link rel="next" title="brightfield" href="brightfield.html" />
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+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
+            
+            
+              <li class="dropdown globaltoc-container">
+  <a role="button"
+     id="dLabelGlobalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="../index.html">Site <b class="caret"></b></a>
+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul>
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1 current"><a class="current reference internal" href="#">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
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+      
+  <section id="custom-feature-detection">
+<h1>custom-feature-detection<a class="headerlink" href="#custom-feature-detection" title="Permalink to this heading">¶</a></h1>
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+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.lm-ScrollBar[data-orientation='horizontal'] {
+  flex-direction: row;
+}
+
+.lm-ScrollBar[data-orientation='vertical'] {
+  flex-direction: column;
+}
+
+.lm-ScrollBar-button {
+  box-sizing: border-box;
+  flex: 0 0 auto;
+}
+
+.lm-ScrollBar-track {
+  box-sizing: border-box;
+  position: relative;
+  overflow: hidden;
+  flex: 1 1 auto;
+}
+
+.lm-ScrollBar-thumb {
+  box-sizing: border-box;
+  position: absolute;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-SplitPanel-child {
+  z-index: 0;
+}
+
+.lm-SplitPanel-handle {
+  z-index: 1;
+}
+
+.lm-SplitPanel-handle.lm-mod-hidden {
+  display: none !important;
+}
+
+.lm-SplitPanel-handle:after {
+  position: absolute;
+  top: 0;
+  left: 0;
+  width: 100%;
+  height: 100%;
+  content: '';
+}
+
+.lm-SplitPanel[data-orientation='horizontal'] > .lm-SplitPanel-handle {
+  cursor: ew-resize;
+}
+
+.lm-SplitPanel[data-orientation='vertical'] > .lm-SplitPanel-handle {
+  cursor: ns-resize;
+}
+
+.lm-SplitPanel[data-orientation='horizontal'] > .lm-SplitPanel-handle:after {
+  left: 50%;
+  min-width: 8px;
+  transform: translateX(-50%);
+}
+
+.lm-SplitPanel[data-orientation='vertical'] > .lm-SplitPanel-handle:after {
+  top: 50%;
+  min-height: 8px;
+  transform: translateY(-50%);
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-TabBar {
+  display: flex;
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.lm-TabBar[data-orientation='horizontal'] {
+  flex-direction: row;
+  align-items: flex-end;
+}
+
+.lm-TabBar[data-orientation='vertical'] {
+  flex-direction: column;
+  align-items: flex-end;
+}
+
+.lm-TabBar-content {
+  margin: 0;
+  padding: 0;
+  display: flex;
+  flex: 1 1 auto;
+  list-style-type: none;
+}
+
+.lm-TabBar[data-orientation='horizontal'] > .lm-TabBar-content {
+  flex-direction: row;
+}
+
+.lm-TabBar[data-orientation='vertical'] > .lm-TabBar-content {
+  flex-direction: column;
+}
+
+.lm-TabBar-tab {
+  display: flex;
+  flex-direction: row;
+  box-sizing: border-box;
+  overflow: hidden;
+  touch-action: none; /* Disable native Drag/Drop */
+}
+
+.lm-TabBar-tabIcon,
+.lm-TabBar-tabCloseIcon {
+  flex: 0 0 auto;
+}
+
+.lm-TabBar-tabLabel {
+  flex: 1 1 auto;
+  overflow: hidden;
+  white-space: nowrap;
+}
+
+.lm-TabBar-tabInput {
+  user-select: all;
+  width: 100%;
+  box-sizing: border-box;
+}
+
+.lm-TabBar-tab.lm-mod-hidden {
+  display: none !important;
+}
+
+.lm-TabBar-addButton.lm-mod-hidden {
+  display: none !important;
+}
+
+.lm-TabBar.lm-mod-dragging .lm-TabBar-tab {
+  position: relative;
+}
+
+.lm-TabBar.lm-mod-dragging[data-orientation='horizontal'] .lm-TabBar-tab {
+  left: 0;
+  transition: left 150ms ease;
+}
+
+.lm-TabBar.lm-mod-dragging[data-orientation='vertical'] .lm-TabBar-tab {
+  top: 0;
+  transition: top 150ms ease;
+}
+
+.lm-TabBar.lm-mod-dragging .lm-TabBar-tab.lm-mod-dragging {
+  transition: none;
+}
+
+.lm-TabBar-tabLabel .lm-TabBar-tabInput {
+  user-select: all;
+  width: 100%;
+  box-sizing: border-box;
+  background: inherit;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-TabPanel-tabBar {
+  z-index: 1;
+}
+
+.lm-TabPanel-stackedPanel {
+  z-index: 0;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Collapse {
+  display: flex;
+  flex-direction: column;
+  align-items: stretch;
+}
+
+.jp-Collapse-header {
+  padding: 1px 12px;
+  background-color: var(--jp-layout-color1);
+  border-bottom: solid var(--jp-border-width) var(--jp-border-color2);
+  color: var(--jp-ui-font-color1);
+  cursor: pointer;
+  display: flex;
+  align-items: center;
+  font-size: var(--jp-ui-font-size0);
+  font-weight: 600;
+  text-transform: uppercase;
+  user-select: none;
+}
+
+.jp-Collapser-icon {
+  height: 16px;
+}
+
+.jp-Collapse-header-collapsed .jp-Collapser-icon {
+  transform: rotate(-90deg);
+  margin: auto 0;
+}
+
+.jp-Collapser-title {
+  line-height: 25px;
+}
+
+.jp-Collapse-contents {
+  padding: 0 12px;
+  background-color: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  overflow: auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/* This file was auto-generated by ensureUiComponents() in @jupyterlab/buildutils */
+
+/**
+ * (DEPRECATED) Support for consuming icons as CSS background images
+ */
+
+/* Icons urls */
+
+:root {
+  --jp-icon-add-above: url(data:image/svg+xml;base64,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);
+  --jp-icon-add-below: url(data:image/svg+xml;base64,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);
+  --jp-icon-add: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE5IDEzaC02djZoLTJ2LTZINXYtMmg2VjVoMnY2aDZ2MnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-bell: url(data:image/svg+xml;base64,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);
+  --jp-icon-bug-dot: url(data:image/svg+xml;base64,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);
+  --jp-icon-bug: url(data:image/svg+xml;base64,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);
+  --jp-icon-build: url(data:image/svg+xml;base64,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);
+  --jp-icon-caret-down-empty-thin: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwIDIwIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwb2x5Z29uIGNsYXNzPSJzdDEiIHBvaW50cz0iOS45LDEzLjYgMy42LDcuNCA0LjQsNi42IDkuOSwxMi4yIDE1LjQsNi43IDE2LjEsNy40ICIvPgoJPC9nPgo8L3N2Zz4K);
+  --jp-icon-caret-down-empty: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik01LjIsNS45TDksOS43bDMuOC0zLjhsMS4yLDEuMmwtNC45LDVsLTQuOS01TDUuMiw1Ljl6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-caret-down: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik01LjIsNy41TDksMTEuMmwzLjgtMy44SDUuMnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-caret-left: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwYXRoIGQ9Ik0xMC44LDEyLjhMNy4xLDlsMy44LTMuOGwwLDcuNkgxMC44eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-caret-right: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik03LjIsNS4yTDEwLjksOWwtMy44LDMuOFY1LjJINy4yeiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-caret-up-empty-thin: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwIDIwIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwb2x5Z29uIGNsYXNzPSJzdDEiIHBvaW50cz0iMTUuNCwxMy4zIDkuOSw3LjcgNC40LDEzLjIgMy42LDEyLjUgOS45LDYuMyAxNi4xLDEyLjYgIi8+Cgk8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-caret-up: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwYXRoIGQ9Ik01LjIsMTAuNUw5LDYuOGwzLjgsMy44SDUuMnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-case-sensitive: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwIDIwIj4KICA8ZyBjbGFzcz0ianAtaWNvbjIiIGZpbGw9IiM0MTQxNDEiPgogICAgPHJlY3QgeD0iMiIgeT0iMiIgd2lkdGg9IjE2IiBoZWlnaHQ9IjE2Ii8+CiAgPC9nPgogIDxnIGNsYXNzPSJqcC1pY29uLWFjY2VudDIiIGZpbGw9IiNGRkYiPgogICAgPHBhdGggZD0iTTcuNiw4aDAuOWwzLjUsOGgtMS4xTDEwLDE0SDZsLTAuOSwySDRMNy42LDh6IE04LDkuMUw2LjQsMTNoMy4yTDgsOS4xeiIvPgogICAgPHBhdGggZD0iTTE2LjYsOS44Yy0wLjIsMC4xLTAuNCwwLjEtMC43LDAuMWMtMC4yLDAtMC40LTAuMS0wLjYtMC4yYy0wLjEtMC4xLTAuMi0wLjQtMC4yLTAuNyBjLTAuMywwLjMtMC42LDAuNS0wLjksMC43Yy0wLjMsMC4xLTAuNywwLjItMS4xLDAuMmMtMC4zLDAtMC41LDAtMC43LTAuMWMtMC4yLTAuMS0wLjQtMC4yLTAuNi0wLjNjLTAuMi0wLjEtMC4zLTAuMy0wLjQtMC41IGMtMC4xLTAuMi0wLjEtMC40LTAuMS0wLjdjMC0wLjMsMC4xLTAuNiwwLjItMC44YzAuMS0wLjIsMC4zLTAuNCwwLjQtMC41QzEyLDcsMTIuMiw2LjksMTIuNSw2LjhjMC4yLTAuMSwwLjUtMC4xLDAuNy0wLjIgYzAuMy0wLjEsMC41LTAuMSwwLjctMC4xYzAuMiwwLDAuNC0wLjEsMC42LTAuMWMwLjIsMCwwLjMtMC4xLDAuNC0wLjJjMC4xLTAuMSwwLjItMC4yLDAuMi0wLjRjMC0xLTEuMS0xLTEuMy0xIGMtMC40LDAtMS40LDAtMS40LDEuMmgtMC45YzAtMC40LDAuMS0wLjcsMC4yLTFjMC4xLTAuMiwwLjMtMC40LDAuNS0wLjZjMC4yLTAuMiwwLjUtMC4zLDAuOC0wLjNDMTMuMyw0LDEzLjYsNCwxMy45LDQgYzAuMywwLDAuNSwwLDAuOCwwLjFjMC4zLDAsMC41LDAuMSwwLjcsMC4yYzAuMiwwLjEsMC40LDAuMywwLjUsMC41QzE2LDUsMTYsNS4yLDE2LDUuNnYyLjljMCwwLjIsMCwwLjQsMCwwLjUgYzAsMC4xLDAuMSwwLjIsMC4zLDAuMmMwLjEsMCwwLjIsMCwwLjMsMFY5Ljh6IE0xNS4yLDYuOWMtMS4yLDAuNi0zLjEsMC4yLTMuMSwxLjRjMCwxLjQsMy4xLDEsMy4xLTAuNVY2Ljl6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-check: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIj4KICAgIDxwYXRoIGQ9Ik05IDE2LjE3TDQuODMgMTJsLTEuNDIgMS40MUw5IDE5IDIxIDdsLTEuNDEtMS40MXoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-circle-empty: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyIDJDNi40NyAyIDIgNi40NyAyIDEyczQuNDcgMTAgMTAgMTAgMTAtNC40NyAxMC0xMFMxNy41MyAyIDEyIDJ6bTAgMThjLTQuNDEgMC04LTMuNTktOC04czMuNTktOCA4LTggOCAzLjU5IDggOC0zLjU5IDgtOCA4eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-circle: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMTggMTgiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPGNpcmNsZSBjeD0iOSIgY3k9IjkiIHI9IjgiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-clear: url(data:image/svg+xml;base64,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);
+  --jp-icon-close: url(data:image/svg+xml;base64,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);
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+  --jp-icon-file-upload: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTkgMTZoNnYtNmg0bC03LTctNyA3aDR6bS00IDJoMTR2Mkg1eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-file: url(data:image/svg+xml;base64,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);
+  --jp-icon-filter-dot: url(data:image/svg+xml;base64,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);
+  --jp-icon-filter-list: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEwIDE4aDR2LTJoLTR2MnpNMyA2djJoMThWNkgzem0zIDdoMTJ2LTJINnYyeiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-filter: url(data:image/svg+xml;base64,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);
+  --jp-icon-folder-favorite: url(data:image/svg+xml;base64,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);
+  --jp-icon-folder: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMTAgNEg0Yy0xLjEgMC0xLjk5LjktMS45OSAyTDIgMThjMCAxLjEuOSAyIDIgMmgxNmMxLjEgMCAyLS45IDItMlY4YzAtMS4xLS45LTItMi0yaC04bC0yLTJ6Ii8+Cjwvc3ZnPgo=);
+  --jp-icon-home: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIGhlaWdodD0iMjRweCIgdmlld0JveD0iMCAwIDI0IDI0IiB3aWR0aD0iMjRweCIgZmlsbD0iIzAwMDAwMCI+CiAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPjxwYXRoIGNsYXNzPSJqcC1pY29uMyBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xMCAyMHYtNmg0djZoNXYtOGgzTDEyIDMgMiAxMmgzdjh6Ii8+Cjwvc3ZnPgo=);
+  --jp-icon-html5: url(data:image/svg+xml;base64,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);
+  --jp-icon-image: url(data:image/svg+xml;base64,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);
+  --jp-icon-info: url(data:image/svg+xml;base64,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);
+  --jp-icon-inspector: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaW5zcGVjdG9yLWljb24tY29sb3IganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMjAgNEg0Yy0xLjEgMC0xLjk5LjktMS45OSAyTDIgMThjMCAxLjEuOSAyIDIgMmgxNmMxLjEgMCAyLS45IDItMlY2YzAtMS4xLS45LTItMi0yem0tNSAxNEg0di00aDExdjR6bTAtNUg0VjloMTF2NHptNSA1aC00VjloNHY5eiIvPgo8L3N2Zz4K);
+  --jp-icon-json: url(data:image/svg+xml;base64,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);
+  --jp-icon-julia: url(data:image/svg+xml;base64,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);
+  --jp-icon-jupyter-favicon: url(data:image/svg+xml;base64,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);
+  --jp-icon-jupyter: url(data:image/svg+xml;base64,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);
+  --jp-icon-jupyterlab-wordmark: 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+  --jp-icon-kernel: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGNsYXNzPSJqcC1pY29uMiIgZmlsbD0iIzYxNjE2MSIgZD0iTTE1IDlIOXY2aDZWOXptLTIgNGgtMnYtMmgydjJ6bTgtMlY5aC0yVjdjMC0xLjEtLjktMi0yLTJoLTJWM2gtMnYyaC0yVjNIOXYySDdjLTEuMSAwLTIgLjktMiAydjJIM3YyaDJ2MkgzdjJoMnYyYzAgMS4xLjkgMiAyIDJoMnYyaDJ2LTJoMnYyaDJ2LTJoMmMxLjEgMCAyLS45IDItMnYtMmgydi0yaC0ydi0yaDJ6bS00IDZIN1Y3aDEwdjEweiIvPgo8L3N2Zz4K);
+  --jp-icon-keyboard: url(data:image/svg+xml;base64,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);
+  --jp-icon-launch: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMzIgMzIiIHdpZHRoPSIzMiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIj4KICAgIDxwYXRoIGQ9Ik0yNiwyOEg2YTIuMDAyNywyLjAwMjcsMCwwLDEtMi0yVjZBMi4wMDI3LDIuMDAyNywwLDAsMSw2LDRIMTZWNkg2VjI2SDI2VjE2aDJWMjZBMi4wMDI3LDIuMDAyNywwLDAsMSwyNiwyOFoiLz4KICAgIDxwb2x5Z29uIHBvaW50cz0iMjAgMiAyMCA0IDI2LjU4NiA0IDE4IDEyLjU4NiAxOS40MTQgMTQgMjggNS40MTQgMjggMTIgMzAgMTIgMzAgMiAyMCAyIi8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-launcher: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMTkgMTlINVY1aDdWM0g1YTIgMiAwIDAwLTIgMnYxNGEyIDIgMCAwMDIgMmgxNGMxLjEgMCAyLS45IDItMnYtN2gtMnY3ek0xNCAzdjJoMy41OWwtOS44MyA5LjgzIDEuNDEgMS40MUwxOSA2LjQxVjEwaDJWM2gtN3oiLz4KPC9zdmc+Cg==);
+  --jp-icon-line-form: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGZpbGw9IndoaXRlIiBkPSJNNS44OCA0LjEyTDEzLjc2IDEybC03Ljg4IDcuODhMOCAyMmwxMC0xMEw4IDJ6Ii8+Cjwvc3ZnPgo=);
+  --jp-icon-link: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTMuOSAxMmMwLTEuNzEgMS4zOS0zLjEgMy4xLTMuMWg0VjdIN2MtMi43NiAwLTUgMi4yNC01IDVzMi4yNCA1IDUgNWg0di0xLjlIN2MtMS43MSAwLTMuMS0xLjM5LTMuMS0zLjF6TTggMTNoOHYtMkg4djJ6bTktNmgtNHYxLjloNGMxLjcxIDAgMy4xIDEuMzkgMy4xIDMuMXMtMS4zOSAzLjEtMy4xIDMuMWgtNFYxN2g0YzIuNzYgMCA1LTIuMjQgNS01cy0yLjI0LTUtNS01eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-list: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGNsYXNzPSJqcC1pY29uMiBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xOSA1djE0SDVWNWgxNG0xLjEtMkgzLjljLS41IDAtLjkuNC0uOS45djE2LjJjMCAuNC40LjkuOS45aDE2LjJjLjQgMCAuOS0uNS45LS45VjMuOWMwLS41LS41LS45LS45LS45ek0xMSA3aDZ2MmgtNlY3em0wIDRoNnYyaC02di0yem0wIDRoNnYyaC02ek03IDdoMnYySDd6bTAgNGgydjJIN3ptMCA0aDJ2Mkg3eiIvPgo8L3N2Zz4K);
+  --jp-icon-markdown: url(data:image/svg+xml;base64,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);
+  --jp-icon-move-down: url(data:image/svg+xml;base64,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);
+  --jp-icon-move-up: url(data:image/svg+xml;base64,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);
+  --jp-icon-new-folder: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTIwIDZoLThsLTItMkg0Yy0xLjExIDAtMS45OS44OS0xLjk5IDJMMiAxOGMwIDEuMTEuODkgMiAyIDJoMTZjMS4xMSAwIDItLjg5IDItMlY4YzAtMS4xMS0uODktMi0yLTJ6bS0xIDhoLTN2M2gtMnYtM2gtM3YtMmgzVjloMnYzaDN2MnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-not-trusted: url(data:image/svg+xml;base64,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);
+  --jp-icon-notebook: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtbm90ZWJvb2staWNvbi1jb2xvciBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiNFRjZDMDAiPgogICAgPHBhdGggZD0iTTE4LjcgMy4zdjE1LjRIMy4zVjMuM2gxNS40bTEuNS0xLjVIMS44djE4LjNoMTguM2wuMS0xOC4zeiIvPgogICAgPHBhdGggZD0iTTE2LjUgMTYuNWwtNS40LTQuMy01LjYgNC4zdi0xMWgxMXoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-numbering: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjIiIGhlaWdodD0iMjIiIHZpZXdCb3g9IjAgMCAyOCAyOCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CgkJPHBhdGggZD0iTTQgMTlINlYxOS41SDVWMjAuNUg2VjIxSDRWMjJIN1YxOEg0VjE5Wk01IDEwSDZWNkg0VjdINVYxMFpNNCAxM0g1LjhMNCAxNS4xVjE2SDdWMTVINS4yTDcgMTIuOVYxMkg0VjEzWk05IDdWOUgyM1Y3SDlaTTkgMjFIMjNWMTlIOVYyMVpNOSAxNUgyM1YxM0g5VjE1WiIvPgoJPC9nPgo8L3N2Zz4K);
+  --jp-icon-offline-bolt: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAyNCAyNCIgd2lkdGg9IjE2Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyIDIuMDJjLTUuNTEgMC05Ljk4IDQuNDctOS45OCA5Ljk4czQuNDcgOS45OCA5Ljk4IDkuOTggOS45OC00LjQ3IDkuOTgtOS45OFMxNy41MSAyLjAyIDEyIDIuMDJ6TTExLjQ4IDIwdi02LjI2SDhMMTMgNHY2LjI2aDMuMzVMMTEuNDggMjB6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-palette: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE4IDEzVjIwSDRWNkg5LjAyQzkuMDcgNS4yOSA5LjI0IDQuNjIgOS41IDRINEMyLjkgNCAyIDQuOSAyIDZWMjBDMiAyMS4xIDIuOSAyMiA0IDIySDE4QzE5LjEgMjIgMjAgMjEuMSAyMCAyMFYxNUwxOCAxM1pNMTkuMyA4Ljg5QzE5Ljc0IDguMTkgMjAgNy4zOCAyMCA2LjVDMjAgNC4wMSAxNy45OSAyIDE1LjUgMkMxMy4wMSAyIDExIDQuMDEgMTEgNi41QzExIDguOTkgMTMuMDEgMTEgMTUuNDkgMTFDMTYuMzcgMTEgMTcuMTkgMTAuNzQgMTcuODggMTAuM0wyMSAxMy40MkwyMi40MiAxMkwxOS4zIDguODlaTTE1LjUgOUMxNC4xMiA5IDEzIDcuODggMTMgNi41QzEzIDUuMTIgMTQuMTIgNCAxNS41IDRDMTYuODggNCAxOCA1LjEyIDE4IDYuNUMxOCA3Ljg4IDE2Ljg4IDkgMTUuNSA5WiIvPgogICAgPHBhdGggZmlsbC1ydWxlPSJldmVub2RkIiBjbGlwLXJ1bGU9ImV2ZW5vZGQiIGQ9Ik00IDZIOS4wMTg5NEM5LjAwNjM5IDYuMTY1MDIgOSA2LjMzMTc2IDkgNi41QzkgOC44MTU3NyAxMC4yMTEgMTAuODQ4NyAxMi4wMzQzIDEySDlWMTRIMTZWMTIuOTgxMUMxNi41NzAzIDEyLjkzNzcgMTcuMTIgMTIuODIwNyAxNy42Mzk2IDEyLjYzOTZMMTggMTNWMjBINFY2Wk04IDhINlYxMEg4VjhaTTYgMTJIOFYxNEg2VjEyWk04IDE2SDZWMThIOFYxNlpNOSAxNkgxNlYxOEg5VjE2WiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-paste: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTE5IDJoLTQuMThDMTQuNC44NCAxMy4zIDAgMTIgMGMtMS4zIDAtMi40Ljg0LTIuODIgMkg1Yy0xLjEgMC0yIC45LTIgMnYxNmMwIDEuMS45IDIgMiAyaDE0YzEuMSAwIDItLjkgMi0yVjRjMC0xLjEtLjktMi0yLTJ6bS03IDBjLjU1IDAgMSAuNDUgMSAxcy0uNDUgMS0xIDEtMS0uNDUtMS0xIC40NS0xIDEtMXptNyAxOEg1VjRoMnYzaDEwVjRoMnYxNnoiLz4KICAgIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-pdf: url(data:image/svg+xml;base64,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);
+  --jp-icon-python: url(data:image/svg+xml;base64,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);
+  --jp-icon-r-kernel: url(data:image/svg+xml;base64,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);
+  --jp-icon-react: url(data:image/svg+xml;base64,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);
+  --jp-icon-redo: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIGhlaWdodD0iMjQiIHZpZXdCb3g9IjAgMCAyNCAyNCIgd2lkdGg9IjE2Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgICA8cGF0aCBkPSJNMCAwaDI0djI0SDB6IiBmaWxsPSJub25lIi8+PHBhdGggZD0iTTE4LjQgMTAuNkMxNi41NSA4Ljk5IDE0LjE1IDggMTEuNSA4Yy00LjY1IDAtOC41OCAzLjAzLTkuOTYgNy4yMkwzLjkgMTZjMS4wNS0zLjE5IDQuMDUtNS41IDcuNi01LjUgMS45NSAwIDMuNzMuNzIgNS4xMiAxLjg4TDEzIDE2aDlWN2wtMy42IDMuNnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-refresh: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTkgMTMuNWMtMi40OSAwLTQuNS0yLjAxLTQuNS00LjVTNi41MSA0LjUgOSA0LjVjMS4yNCAwIDIuMzYuNTIgMy4xNyAxLjMzTDEwIDhoNVYzbC0xLjc2IDEuNzZDMTIuMTUgMy42OCAxMC42NiAzIDkgMyA1LjY5IDMgMy4wMSA1LjY5IDMuMDEgOVM1LjY5IDE1IDkgMTVjMi45NyAwIDUuNDMtMi4xNiA1LjktNWgtMS41MmMtLjQ2IDItMi4yNCAzLjUtNC4zOCAzLjV6Ii8+CiAgICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-regex: url(data:image/svg+xml;base64,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);
+  --jp-icon-run: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTggNXYxNGwxMS03eiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-running: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDUxMiA1MTIiPgogIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICA8cGF0aCBkPSJNMjU2IDhDMTE5IDggOCAxMTkgOCAyNTZzMTExIDI0OCAyNDggMjQ4IDI0OC0xMTEgMjQ4LTI0OFMzOTMgOCAyNTYgOHptOTYgMzI4YzAgOC44LTcuMiAxNi0xNiAxNkgxNzZjLTguOCAwLTE2LTcuMi0xNi0xNlYxNzZjMC04LjggNy4yLTE2IDE2LTE2aDE2MGM4LjggMCAxNiA3LjIgMTYgMTZ2MTYweiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-save: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTE3IDNINWMtMS4xMSAwLTIgLjktMiAydjE0YzAgMS4xLjg5IDIgMiAyaDE0YzEuMSAwIDItLjkgMi0yVjdsLTQtNHptLTUgMTZjLTEuNjYgMC0zLTEuMzQtMy0zczEuMzQtMyAzLTMgMyAxLjM0IDMgMy0xLjM0IDMtMyAzem0zLTEwSDVWNWgxMHY0eiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-search: url(data:image/svg+xml;base64,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);
+  --jp-icon-settings: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMTkuNDMgMTIuOThjLjA0LS4zMi4wNy0uNjQuMDctLjk4cy0uMDMtLjY2LS4wNy0uOThsMi4xMS0xLjY1Yy4xOS0uMTUuMjQtLjQyLjEyLS42NGwtMi0zLjQ2Yy0uMTItLjIyLS4zOS0uMy0uNjEtLjIybC0yLjQ5IDFjLS41Mi0uNC0xLjA4LS43My0xLjY5LS45OGwtLjM4LTIuNjVBLjQ4OC40ODggMCAwMDE0IDJoLTRjLS4yNSAwLS40Ni4xOC0uNDkuNDJsLS4zOCAyLjY1Yy0uNjEuMjUtMS4xNy41OS0xLjY5Ljk4bC0yLjQ5LTFjLS4yMy0uMDktLjQ5IDAtLjYxLjIybC0yIDMuNDZjLS4xMy4yMi0uMDcuNDkuMTIuNjRsMi4xMSAxLjY1Yy0uMDQuMzItLjA3LjY1LS4wNy45OHMuMDMuNjYuMDcuOThsLTIuMTEgMS42NWMtLjE5LjE1LS4yNC40Mi0uMTIuNjRsMiAzLjQ2Yy4xMi4yMi4zOS4zLjYxLjIybDIuNDktMWMuNTIuNCAxLjA4LjczIDEuNjkuOThsLjM4IDIuNjVjLjAzLjI0LjI0LjQyLjQ5LjQyaDRjLjI1IDAgLjQ2LS4xOC40OS0uNDJsLjM4LTIuNjVjLjYxLS4yNSAxLjE3LS41OSAxLjY5LS45OGwyLjQ5IDFjLjIzLjA5LjQ5IDAgLjYxLS4yMmwyLTMuNDZjLjEyLS4yMi4wNy0uNDktLjEyLS42NGwtMi4xMS0xLjY1ek0xMiAxNS41Yy0xLjkzIDAtMy41LTEuNTctMy41LTMuNXMxLjU3LTMuNSAzLjUtMy41IDMuNSAxLjU3IDMuNSAzLjUtMS41NyAzLjUtMy41IDMuNXoiLz4KPC9zdmc+Cg==);
+  --jp-icon-share: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMTYiIHZpZXdCb3g9IjAgMCAyNCAyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTSAxOCAyIEMgMTYuMzU0OTkgMiAxNSAzLjM1NDk5MDQgMTUgNSBDIDE1IDUuMTkwOTUyOSAxNS4wMjE3OTEgNS4zNzcxMjI0IDE1LjA1NjY0MSA1LjU1ODU5MzggTCA3LjkyMTg3NSA5LjcyMDcwMzEgQyA3LjM5ODUzOTkgOS4yNzc4NTM5IDYuNzMyMDc3MSA5IDYgOSBDIDQuMzU0OTkwNCA5IDMgMTAuMzU0OTkgMyAxMiBDIDMgMTMuNjQ1MDEgNC4zNTQ5OTA0IDE1IDYgMTUgQyA2LjczMjA3NzEgMTUgNy4zOTg1Mzk5IDE0LjcyMjE0NiA3LjkyMTg3NSAxNC4yNzkyOTcgTCAxNS4wNTY2NDEgMTguNDM5NDUzIEMgMTUuMDIxNTU1IDE4LjYyMTUxNCAxNSAxOC44MDgzODYgMTUgMTkgQyAxNSAyMC42NDUwMSAxNi4zNTQ5OSAyMiAxOCAyMiBDIDE5LjY0NTAxIDIyIDIxIDIwLjY0NTAxIDIxIDE5IEMgMjEgMTcuMzU0OTkgMTkuNjQ1MDEgMTYgMTggMTYgQyAxNy4yNjc0OCAxNiAxNi42MDE1OTMgMTYuMjc5MzI4IDE2LjA3ODEyNSAxNi43MjI2NTYgTCA4Ljk0MzM1OTQgMTIuNTU4NTk0IEMgOC45NzgyMDk1IDEyLjM3NzEyMiA5IDEyLjE5MDk1MyA5IDEyIEMgOSAxMS44MDkwNDcgOC45NzgyMDk1IDExLjYyMjg3OCA4Ljk0MzM1OTQgMTEuNDQxNDA2IEwgMTYuMDc4MTI1IDcuMjc5Mjk2OSBDIDE2LjYwMTQ2IDcuNzIyMTQ2MSAxNy4yNjc5MjMgOCAxOCA4IEMgMTkuNjQ1MDEgOCAyMSA2LjY0NTAwOTYgMjEgNSBDIDIxIDMuMzU0OTkwNCAxOS42NDUwMSAyIDE4IDIgeiBNIDE4IDQgQyAxOC41NjQxMjkgNCAxOSA0LjQzNTg3MDYgMTkgNSBDIDE5IDUuNTY0MTI5NCAxOC41NjQxMjkgNiAxOCA2IEMgMTcuNDM1ODcxIDYgMTcgNS41NjQxMjk0IDE3IDUgQyAxNyA0LjQzNTg3MDYgMTcuNDM1ODcxIDQgMTggNCB6IE0gNiAxMSBDIDYuNTY0MTI5NCAxMSA3IDExLjQzNTg3MSA3IDEyIEMgNyAxMi41NjQxMjkgNi41NjQxMjk0IDEzIDYgMTMgQyA1LjQzNTg3MDYgMTMgNSAxMi41NjQxMjkgNSAxMiBDIDUgMTEuNDM1ODcxIDUuNDM1ODcwNiAxMSA2IDExIHogTSAxOCAxOCBDIDE4LjU2NDEyOSAxOCAxOSAxOC40MzU4NzEgMTkgMTkgQyAxOSAxOS41NjQxMjkgMTguNTY0MTI5IDIwIDE4IDIwIEMgMTcuNDM1ODcxIDIwIDE3IDE5LjU2NDEyOSAxNyAxOSBDIDE3IDE4LjQzNTg3MSAxNy40MzU4NzEgMTggMTggMTggeiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-spreadsheet: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8cGF0aCBjbGFzcz0ianAtaWNvbi1jb250cmFzdDEganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNENBRjUwIiBkPSJNMi4yIDIuMnYxNy42aDE3LjZWMi4ySDIuMnptMTUuNCA3LjdoLTUuNVY0LjRoNS41djUuNXpNOS45IDQuNHY1LjVINC40VjQuNGg1LjV6bS01LjUgNy43aDUuNXY1LjVINC40di01LjV6bTcuNyA1LjV2LTUuNWg1LjV2NS41aC01LjV6Ii8+Cjwvc3ZnPgo=);
+  --jp-icon-stop: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik02IDZoMTJ2MTJINnoiLz4KICAgIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-tab: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTIxIDNIM2MtMS4xIDAtMiAuOS0yIDJ2MTRjMCAxLjEuOSAyIDIgMmgxOGMxLjEgMCAyLS45IDItMlY1YzAtMS4xLS45LTItMi0yem0wIDE2SDNWNWgxMHY0aDh2MTB6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-table-rows: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik0yMSw4SDNWNGgxOFY4eiBNMjEsMTBIM3Y0aDE4VjEweiBNMjEsMTZIM3Y0aDE4VjE2eiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-tag: url(data:image/svg+xml;base64,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);
+  --jp-icon-terminal: url(data:image/svg+xml;base64,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);
+  --jp-icon-text-editor: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtdGV4dC1lZGl0b3ItaWNvbi1jb2xvciBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xNSAxNUgzdjJoMTJ2LTJ6bTAtOEgzdjJoMTJWN3pNMyAxM2gxOHYtMkgzdjJ6bTAgOGgxOHYtMkgzdjJ6TTMgM3YyaDE4VjNIM3oiLz4KPC9zdmc+Cg==);
+  --jp-icon-toc: url(data:image/svg+xml;base64,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);
+  --jp-icon-tree-view: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik0yMiAxMVYzaC03djNIOVYzSDJ2OGg3VjhoMnYxMGg0djNoN3YtOGgtN3YzaC0yVjhoMnYzeiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-trusted: url(data:image/svg+xml;base64,PHN2ZyBmaWxsPSJub25lIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI1Ij4KICAgIDxwYXRoIGNsYXNzPSJqcC1pY29uMiIgc3Ryb2tlPSIjMzMzMzMzIiBzdHJva2Utd2lkdGg9IjIiIHRyYW5zZm9ybT0idHJhbnNsYXRlKDIgMykiIGQ9Ik0xLjg2MDk0IDExLjQ0MDlDMC44MjY0NDggOC43NzAyNyAwLjg2Mzc3OSA2LjA1NzY0IDEuMjQ5MDcgNC4xOTkzMkMyLjQ4MjA2IDMuOTMzNDcgNC4wODA2OCAzLjQwMzQ3IDUuNjAxMDIgMi44NDQ5QzcuMjM1NDkgMi4yNDQ0IDguODU2NjYgMS41ODE1IDkuOTg3NiAxLjA5NTM5QzExLjA1OTcgMS41ODM0MSAxMi42MDk0IDIuMjQ0NCAxNC4yMTggMi44NDMzOUMxNS43NTAzIDMuNDEzOTQgMTcuMzk5NSAzLjk1MjU4IDE4Ljc1MzkgNC4yMTM4NUMxOS4xMzY0IDYuMDcxNzcgMTkuMTcwOSA4Ljc3NzIyIDE4LjEzOSAxMS40NDA5QzE3LjAzMDMgMTQuMzAzMiAxNC42NjY4IDE3LjE4NDQgOS45OTk5OSAxOC45MzU0QzUuMzMzMiAxNy4xODQ0IDIuOTY5NjggMTQuMzAzMiAxLjg2MDk0IDExLjQ0MDlaIi8+CiAgICA8cGF0aCBjbGFzcz0ianAtaWNvbjIiIGZpbGw9IiMzMzMzMzMiIHN0cm9rZT0iIzMzMzMzMyIgdHJhbnNmb3JtPSJ0cmFuc2xhdGUoOCA5Ljg2NzE5KSIgZD0iTTIuODYwMTUgNC44NjUzNUwwLjcyNjU0OSAyLjk5OTU5TDAgMy42MzA0NUwyLjg2MDE1IDYuMTMxNTdMOCAwLjYzMDg3Mkw3LjI3ODU3IDBMMi44NjAxNSA0Ljg2NTM1WiIvPgo8L3N2Zz4K);
+  --jp-icon-undo: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyLjUgOGMtMi42NSAwLTUuMDUuOTktNi45IDIuNkwyIDd2OWg5bC0zLjYyLTMuNjJjMS4zOS0xLjE2IDMuMTYtMS44OCA1LjEyLTEuODggMy41NCAwIDYuNTUgMi4zMSA3LjYgNS41bDIuMzctLjc4QzIxLjA4IDExLjAzIDE3LjE1IDggMTIuNSA4eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-user: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMTYiIHZpZXdCb3g9IjAgMCAyNCAyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE2IDdhNCA0IDAgMTEtOCAwIDQgNCAwIDAxOCAwek0xMiAxNGE3IDcgMCAwMC03IDdoMTRhNyA3IDAgMDAtNy03eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-users: url(data:image/svg+xml;base64,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);
+  --jp-icon-vega: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtaWNvbjEganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjMjEyMTIxIj4KICAgIDxwYXRoIGQ9Ik0xMC42IDUuNGwyLjItMy4ySDIuMnY3LjNsNC02LjZ6Ii8+CiAgICA8cGF0aCBkPSJNMTUuOCAyLjJsLTQuNCA2LjZMNyA2LjNsLTQuOCA4djUuNWgxNy42VjIuMmgtNHptLTcgMTUuNEg1LjV2LTQuNGgzLjN2NC40em00LjQgMEg5LjhWOS44aDMuNHY3Ljh6bTQuNCAwaC0zLjRWNi41aDMuNHYxMS4xeiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-word: url(data:image/svg+xml;base64,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);
+  --jp-icon-yaml: url(data:image/svg+xml;base64,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);
+}
+
+/* Icon CSS class declarations */
+
+.jp-AddAboveIcon {
+  background-image: var(--jp-icon-add-above);
+}
+
+.jp-AddBelowIcon {
+  background-image: var(--jp-icon-add-below);
+}
+
+.jp-AddIcon {
+  background-image: var(--jp-icon-add);
+}
+
+.jp-BellIcon {
+  background-image: var(--jp-icon-bell);
+}
+
+.jp-BugDotIcon {
+  background-image: var(--jp-icon-bug-dot);
+}
+
+.jp-BugIcon {
+  background-image: var(--jp-icon-bug);
+}
+
+.jp-BuildIcon {
+  background-image: var(--jp-icon-build);
+}
+
+.jp-CaretDownEmptyIcon {
+  background-image: var(--jp-icon-caret-down-empty);
+}
+
+.jp-CaretDownEmptyThinIcon {
+  background-image: var(--jp-icon-caret-down-empty-thin);
+}
+
+.jp-CaretDownIcon {
+  background-image: var(--jp-icon-caret-down);
+}
+
+.jp-CaretLeftIcon {
+  background-image: var(--jp-icon-caret-left);
+}
+
+.jp-CaretRightIcon {
+  background-image: var(--jp-icon-caret-right);
+}
+
+.jp-CaretUpEmptyThinIcon {
+  background-image: var(--jp-icon-caret-up-empty-thin);
+}
+
+.jp-CaretUpIcon {
+  background-image: var(--jp-icon-caret-up);
+}
+
+.jp-CaseSensitiveIcon {
+  background-image: var(--jp-icon-case-sensitive);
+}
+
+.jp-CheckIcon {
+  background-image: var(--jp-icon-check);
+}
+
+.jp-CircleEmptyIcon {
+  background-image: var(--jp-icon-circle-empty);
+}
+
+.jp-CircleIcon {
+  background-image: var(--jp-icon-circle);
+}
+
+.jp-ClearIcon {
+  background-image: var(--jp-icon-clear);
+}
+
+.jp-CloseIcon {
+  background-image: var(--jp-icon-close);
+}
+
+.jp-CodeCheckIcon {
+  background-image: var(--jp-icon-code-check);
+}
+
+.jp-CodeIcon {
+  background-image: var(--jp-icon-code);
+}
+
+.jp-CollapseAllIcon {
+  background-image: var(--jp-icon-collapse-all);
+}
+
+.jp-ConsoleIcon {
+  background-image: var(--jp-icon-console);
+}
+
+.jp-CopyIcon {
+  background-image: var(--jp-icon-copy);
+}
+
+.jp-CopyrightIcon {
+  background-image: var(--jp-icon-copyright);
+}
+
+.jp-CutIcon {
+  background-image: var(--jp-icon-cut);
+}
+
+.jp-DeleteIcon {
+  background-image: var(--jp-icon-delete);
+}
+
+.jp-DownloadIcon {
+  background-image: var(--jp-icon-download);
+}
+
+.jp-DuplicateIcon {
+  background-image: var(--jp-icon-duplicate);
+}
+
+.jp-EditIcon {
+  background-image: var(--jp-icon-edit);
+}
+
+.jp-EllipsesIcon {
+  background-image: var(--jp-icon-ellipses);
+}
+
+.jp-ErrorIcon {
+  background-image: var(--jp-icon-error);
+}
+
+.jp-ExpandAllIcon {
+  background-image: var(--jp-icon-expand-all);
+}
+
+.jp-ExtensionIcon {
+  background-image: var(--jp-icon-extension);
+}
+
+.jp-FastForwardIcon {
+  background-image: var(--jp-icon-fast-forward);
+}
+
+.jp-FileIcon {
+  background-image: var(--jp-icon-file);
+}
+
+.jp-FileUploadIcon {
+  background-image: var(--jp-icon-file-upload);
+}
+
+.jp-FilterDotIcon {
+  background-image: var(--jp-icon-filter-dot);
+}
+
+.jp-FilterIcon {
+  background-image: var(--jp-icon-filter);
+}
+
+.jp-FilterListIcon {
+  background-image: var(--jp-icon-filter-list);
+}
+
+.jp-FolderFavoriteIcon {
+  background-image: var(--jp-icon-folder-favorite);
+}
+
+.jp-FolderIcon {
+  background-image: var(--jp-icon-folder);
+}
+
+.jp-HomeIcon {
+  background-image: var(--jp-icon-home);
+}
+
+.jp-Html5Icon {
+  background-image: var(--jp-icon-html5);
+}
+
+.jp-ImageIcon {
+  background-image: var(--jp-icon-image);
+}
+
+.jp-InfoIcon {
+  background-image: var(--jp-icon-info);
+}
+
+.jp-InspectorIcon {
+  background-image: var(--jp-icon-inspector);
+}
+
+.jp-JsonIcon {
+  background-image: var(--jp-icon-json);
+}
+
+.jp-JuliaIcon {
+  background-image: var(--jp-icon-julia);
+}
+
+.jp-JupyterFaviconIcon {
+  background-image: var(--jp-icon-jupyter-favicon);
+}
+
+.jp-JupyterIcon {
+  background-image: var(--jp-icon-jupyter);
+}
+
+.jp-JupyterlabWordmarkIcon {
+  background-image: var(--jp-icon-jupyterlab-wordmark);
+}
+
+.jp-KernelIcon {
+  background-image: var(--jp-icon-kernel);
+}
+
+.jp-KeyboardIcon {
+  background-image: var(--jp-icon-keyboard);
+}
+
+.jp-LaunchIcon {
+  background-image: var(--jp-icon-launch);
+}
+
+.jp-LauncherIcon {
+  background-image: var(--jp-icon-launcher);
+}
+
+.jp-LineFormIcon {
+  background-image: var(--jp-icon-line-form);
+}
+
+.jp-LinkIcon {
+  background-image: var(--jp-icon-link);
+}
+
+.jp-ListIcon {
+  background-image: var(--jp-icon-list);
+}
+
+.jp-MarkdownIcon {
+  background-image: var(--jp-icon-markdown);
+}
+
+.jp-MoveDownIcon {
+  background-image: var(--jp-icon-move-down);
+}
+
+.jp-MoveUpIcon {
+  background-image: var(--jp-icon-move-up);
+}
+
+.jp-NewFolderIcon {
+  background-image: var(--jp-icon-new-folder);
+}
+
+.jp-NotTrustedIcon {
+  background-image: var(--jp-icon-not-trusted);
+}
+
+.jp-NotebookIcon {
+  background-image: var(--jp-icon-notebook);
+}
+
+.jp-NumberingIcon {
+  background-image: var(--jp-icon-numbering);
+}
+
+.jp-OfflineBoltIcon {
+  background-image: var(--jp-icon-offline-bolt);
+}
+
+.jp-PaletteIcon {
+  background-image: var(--jp-icon-palette);
+}
+
+.jp-PasteIcon {
+  background-image: var(--jp-icon-paste);
+}
+
+.jp-PdfIcon {
+  background-image: var(--jp-icon-pdf);
+}
+
+.jp-PythonIcon {
+  background-image: var(--jp-icon-python);
+}
+
+.jp-RKernelIcon {
+  background-image: var(--jp-icon-r-kernel);
+}
+
+.jp-ReactIcon {
+  background-image: var(--jp-icon-react);
+}
+
+.jp-RedoIcon {
+  background-image: var(--jp-icon-redo);
+}
+
+.jp-RefreshIcon {
+  background-image: var(--jp-icon-refresh);
+}
+
+.jp-RegexIcon {
+  background-image: var(--jp-icon-regex);
+}
+
+.jp-RunIcon {
+  background-image: var(--jp-icon-run);
+}
+
+.jp-RunningIcon {
+  background-image: var(--jp-icon-running);
+}
+
+.jp-SaveIcon {
+  background-image: var(--jp-icon-save);
+}
+
+.jp-SearchIcon {
+  background-image: var(--jp-icon-search);
+}
+
+.jp-SettingsIcon {
+  background-image: var(--jp-icon-settings);
+}
+
+.jp-ShareIcon {
+  background-image: var(--jp-icon-share);
+}
+
+.jp-SpreadsheetIcon {
+  background-image: var(--jp-icon-spreadsheet);
+}
+
+.jp-StopIcon {
+  background-image: var(--jp-icon-stop);
+}
+
+.jp-TabIcon {
+  background-image: var(--jp-icon-tab);
+}
+
+.jp-TableRowsIcon {
+  background-image: var(--jp-icon-table-rows);
+}
+
+.jp-TagIcon {
+  background-image: var(--jp-icon-tag);
+}
+
+.jp-TerminalIcon {
+  background-image: var(--jp-icon-terminal);
+}
+
+.jp-TextEditorIcon {
+  background-image: var(--jp-icon-text-editor);
+}
+
+.jp-TocIcon {
+  background-image: var(--jp-icon-toc);
+}
+
+.jp-TreeViewIcon {
+  background-image: var(--jp-icon-tree-view);
+}
+
+.jp-TrustedIcon {
+  background-image: var(--jp-icon-trusted);
+}
+
+.jp-UndoIcon {
+  background-image: var(--jp-icon-undo);
+}
+
+.jp-UserIcon {
+  background-image: var(--jp-icon-user);
+}
+
+.jp-UsersIcon {
+  background-image: var(--jp-icon-users);
+}
+
+.jp-VegaIcon {
+  background-image: var(--jp-icon-vega);
+}
+
+.jp-WordIcon {
+  background-image: var(--jp-icon-word);
+}
+
+.jp-YamlIcon {
+  background-image: var(--jp-icon-yaml);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/**
+ * (DEPRECATED) Support for consuming icons as CSS background images
+ */
+
+.jp-Icon,
+.jp-MaterialIcon {
+  background-position: center;
+  background-repeat: no-repeat;
+  background-size: 16px;
+  min-width: 16px;
+  min-height: 16px;
+}
+
+.jp-Icon-cover {
+  background-position: center;
+  background-repeat: no-repeat;
+  background-size: cover;
+}
+
+/**
+ * (DEPRECATED) Support for specific CSS icon sizes
+ */
+
+.jp-Icon-16 {
+  background-size: 16px;
+  min-width: 16px;
+  min-height: 16px;
+}
+
+.jp-Icon-18 {
+  background-size: 18px;
+  min-width: 18px;
+  min-height: 18px;
+}
+
+.jp-Icon-20 {
+  background-size: 20px;
+  min-width: 20px;
+  min-height: 20px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.lm-TabBar .lm-TabBar-addButton {
+  align-items: center;
+  display: flex;
+  padding: 4px;
+  padding-bottom: 5px;
+  margin-right: 1px;
+  background-color: var(--jp-layout-color2);
+}
+
+.lm-TabBar .lm-TabBar-addButton:hover {
+  background-color: var(--jp-layout-color1);
+}
+
+.lm-DockPanel-tabBar .lm-TabBar-tab {
+  width: var(--jp-private-horizontal-tab-width);
+}
+
+.lm-DockPanel-tabBar .lm-TabBar-content {
+  flex: unset;
+}
+
+.lm-DockPanel-tabBar[data-orientation='horizontal'] {
+  flex: 1 1 auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/**
+ * Support for icons as inline SVG HTMLElements
+ */
+
+/* recolor the primary elements of an icon */
+.jp-icon0[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon1[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon2[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon3[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon4[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon0[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon1[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon2[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon3[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon4[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/* recolor the accent elements of an icon */
+.jp-icon-accent0[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.jp-icon-accent1[fill] {
+  fill: var(--jp-layout-color1);
+}
+
+.jp-icon-accent2[fill] {
+  fill: var(--jp-layout-color2);
+}
+
+.jp-icon-accent3[fill] {
+  fill: var(--jp-layout-color3);
+}
+
+.jp-icon-accent4[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-accent0[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-accent1[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-accent2[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-accent3[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-accent4[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* set the color of an icon to transparent */
+.jp-icon-none[fill] {
+  fill: none;
+}
+
+.jp-icon-none[stroke] {
+  stroke: none;
+}
+
+/* brand icon colors. Same for light and dark */
+.jp-icon-brand0[fill] {
+  fill: var(--jp-brand-color0);
+}
+
+.jp-icon-brand1[fill] {
+  fill: var(--jp-brand-color1);
+}
+
+.jp-icon-brand2[fill] {
+  fill: var(--jp-brand-color2);
+}
+
+.jp-icon-brand3[fill] {
+  fill: var(--jp-brand-color3);
+}
+
+.jp-icon-brand4[fill] {
+  fill: var(--jp-brand-color4);
+}
+
+.jp-icon-brand0[stroke] {
+  stroke: var(--jp-brand-color0);
+}
+
+.jp-icon-brand1[stroke] {
+  stroke: var(--jp-brand-color1);
+}
+
+.jp-icon-brand2[stroke] {
+  stroke: var(--jp-brand-color2);
+}
+
+.jp-icon-brand3[stroke] {
+  stroke: var(--jp-brand-color3);
+}
+
+.jp-icon-brand4[stroke] {
+  stroke: var(--jp-brand-color4);
+}
+
+/* warn icon colors. Same for light and dark */
+.jp-icon-warn0[fill] {
+  fill: var(--jp-warn-color0);
+}
+
+.jp-icon-warn1[fill] {
+  fill: var(--jp-warn-color1);
+}
+
+.jp-icon-warn2[fill] {
+  fill: var(--jp-warn-color2);
+}
+
+.jp-icon-warn3[fill] {
+  fill: var(--jp-warn-color3);
+}
+
+.jp-icon-warn0[stroke] {
+  stroke: var(--jp-warn-color0);
+}
+
+.jp-icon-warn1[stroke] {
+  stroke: var(--jp-warn-color1);
+}
+
+.jp-icon-warn2[stroke] {
+  stroke: var(--jp-warn-color2);
+}
+
+.jp-icon-warn3[stroke] {
+  stroke: var(--jp-warn-color3);
+}
+
+/* icon colors that contrast well with each other and most backgrounds */
+.jp-icon-contrast0[fill] {
+  fill: var(--jp-icon-contrast-color0);
+}
+
+.jp-icon-contrast1[fill] {
+  fill: var(--jp-icon-contrast-color1);
+}
+
+.jp-icon-contrast2[fill] {
+  fill: var(--jp-icon-contrast-color2);
+}
+
+.jp-icon-contrast3[fill] {
+  fill: var(--jp-icon-contrast-color3);
+}
+
+.jp-icon-contrast0[stroke] {
+  stroke: var(--jp-icon-contrast-color0);
+}
+
+.jp-icon-contrast1[stroke] {
+  stroke: var(--jp-icon-contrast-color1);
+}
+
+.jp-icon-contrast2[stroke] {
+  stroke: var(--jp-icon-contrast-color2);
+}
+
+.jp-icon-contrast3[stroke] {
+  stroke: var(--jp-icon-contrast-color3);
+}
+
+.jp-icon-dot[fill] {
+  fill: var(--jp-warn-color0);
+}
+
+.jp-jupyter-icon-color[fill] {
+  fill: var(--jp-jupyter-icon-color, var(--jp-warn-color0));
+}
+
+.jp-notebook-icon-color[fill] {
+  fill: var(--jp-notebook-icon-color, var(--jp-warn-color0));
+}
+
+.jp-json-icon-color[fill] {
+  fill: var(--jp-json-icon-color, var(--jp-warn-color1));
+}
+
+.jp-console-icon-color[fill] {
+  fill: var(--jp-console-icon-color, white);
+}
+
+.jp-console-icon-background-color[fill] {
+  fill: var(--jp-console-icon-background-color, var(--jp-brand-color1));
+}
+
+.jp-terminal-icon-color[fill] {
+  fill: var(--jp-terminal-icon-color, var(--jp-layout-color2));
+}
+
+.jp-terminal-icon-background-color[fill] {
+  fill: var(
+    --jp-terminal-icon-background-color,
+    var(--jp-inverse-layout-color2)
+  );
+}
+
+.jp-text-editor-icon-color[fill] {
+  fill: var(--jp-text-editor-icon-color, var(--jp-inverse-layout-color3));
+}
+
+.jp-inspector-icon-color[fill] {
+  fill: var(--jp-inspector-icon-color, var(--jp-inverse-layout-color3));
+}
+
+/* CSS for icons in selected filebrowser listing items */
+.jp-DirListing-item.jp-mod-selected .jp-icon-selectable[fill] {
+  fill: #fff;
+}
+
+.jp-DirListing-item.jp-mod-selected .jp-icon-selectable-inverse[fill] {
+  fill: var(--jp-brand-color1);
+}
+
+/* stylelint-disable selector-max-class, selector-max-compound-selectors */
+
+/**
+* TODO: come up with non css-hack solution for showing the busy icon on top
+*  of the close icon
+* CSS for complex behavior of close icon of tabs in the main area tabbar
+*/
+.lm-DockPanel-tabBar
+  .lm-TabBar-tab.lm-mod-closable.jp-mod-dirty
+  > .lm-TabBar-tabCloseIcon
+  > :not(:hover)
+  > .jp-icon3[fill] {
+  fill: none;
+}
+
+.lm-DockPanel-tabBar
+  .lm-TabBar-tab.lm-mod-closable.jp-mod-dirty
+  > .lm-TabBar-tabCloseIcon
+  > :not(:hover)
+  > .jp-icon-busy[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+/* stylelint-enable selector-max-class, selector-max-compound-selectors */
+
+/* CSS for icons in status bar */
+#jp-main-statusbar .jp-mod-selected .jp-icon-selectable[fill] {
+  fill: #fff;
+}
+
+#jp-main-statusbar .jp-mod-selected .jp-icon-selectable-inverse[fill] {
+  fill: var(--jp-brand-color1);
+}
+
+/* special handling for splash icon CSS. While the theme CSS reloads during
+   splash, the splash icon can loose theming. To prevent that, we set a
+   default for its color variable */
+:root {
+  --jp-warn-color0: var(--md-orange-700);
+}
+
+/* not sure what to do with this one, used in filebrowser listing */
+.jp-DragIcon {
+  margin-right: 4px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/**
+ * Support for alt colors for icons as inline SVG HTMLElements
+ */
+
+/* alt recolor the primary elements of an icon */
+.jp-icon-alt .jp-icon0[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.jp-icon-alt .jp-icon1[fill] {
+  fill: var(--jp-layout-color1);
+}
+
+.jp-icon-alt .jp-icon2[fill] {
+  fill: var(--jp-layout-color2);
+}
+
+.jp-icon-alt .jp-icon3[fill] {
+  fill: var(--jp-layout-color3);
+}
+
+.jp-icon-alt .jp-icon4[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-alt .jp-icon0[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-alt .jp-icon1[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-alt .jp-icon2[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-alt .jp-icon3[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-alt .jp-icon4[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* alt recolor the accent elements of an icon */
+.jp-icon-alt .jp-icon-accent0[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-alt .jp-icon-accent1[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-alt .jp-icon-accent2[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-alt .jp-icon-accent3[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-alt .jp-icon-accent4[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon-alt .jp-icon-accent0[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-alt .jp-icon-accent1[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-alt .jp-icon-accent2[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-alt .jp-icon-accent3[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-alt .jp-icon-accent4[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-icon-hoverShow:not(:hover) .jp-icon-hoverShow-content {
+  display: none !important;
+}
+
+/**
+ * Support for hover colors for icons as inline SVG HTMLElements
+ */
+
+/**
+ * regular colors
+ */
+
+/* recolor the primary elements of an icon */
+.jp-icon-hover :hover .jp-icon0-hover[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon1-hover[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon2-hover[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon3-hover[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon4-hover[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon-hover :hover .jp-icon0-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon1-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon2-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon3-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon4-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/* recolor the accent elements of an icon */
+.jp-icon-hover :hover .jp-icon-accent0-hover[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon-accent1-hover[fill] {
+  fill: var(--jp-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon-accent2-hover[fill] {
+  fill: var(--jp-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon-accent3-hover[fill] {
+  fill: var(--jp-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon-accent4-hover[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-hover :hover .jp-icon-accent0-hover[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon-accent1-hover[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon-accent2-hover[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon-accent3-hover[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon-accent4-hover[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* set the color of an icon to transparent */
+.jp-icon-hover :hover .jp-icon-none-hover[fill] {
+  fill: none;
+}
+
+.jp-icon-hover :hover .jp-icon-none-hover[stroke] {
+  stroke: none;
+}
+
+/**
+ * inverse colors
+ */
+
+/* inverse recolor the primary elements of an icon */
+.jp-icon-hover.jp-icon-alt :hover .jp-icon0-hover[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon1-hover[fill] {
+  fill: var(--jp-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon2-hover[fill] {
+  fill: var(--jp-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon3-hover[fill] {
+  fill: var(--jp-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon4-hover[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon0-hover[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon1-hover[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon2-hover[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon3-hover[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon4-hover[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* inverse recolor the accent elements of an icon */
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent0-hover[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent1-hover[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent2-hover[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent3-hover[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent4-hover[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent0-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent1-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent2-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent3-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent4-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-IFrame {
+  width: 100%;
+  height: 100%;
+}
+
+.jp-IFrame > iframe {
+  border: none;
+}
+
+/*
+When drag events occur, `lm-mod-override-cursor` is added to the body.
+Because iframes steal all cursor events, the following two rules are necessary
+to suppress pointer events while resize drags are occurring. There may be a
+better solution to this problem.
+*/
+body.lm-mod-override-cursor .jp-IFrame {
+  position: relative;
+}
+
+body.lm-mod-override-cursor .jp-IFrame::before {
+  content: '';
+  position: absolute;
+  top: 0;
+  left: 0;
+  right: 0;
+  bottom: 0;
+  background: transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-HoverBox {
+  position: fixed;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-FormGroup-content fieldset {
+  border: none;
+  padding: 0;
+  min-width: 0;
+  width: 100%;
+}
+
+/* stylelint-disable selector-max-type */
+
+.jp-FormGroup-content fieldset .jp-inputFieldWrapper input,
+.jp-FormGroup-content fieldset .jp-inputFieldWrapper select,
+.jp-FormGroup-content fieldset .jp-inputFieldWrapper textarea {
+  font-size: var(--jp-content-font-size2);
+  border-color: var(--jp-input-border-color);
+  border-style: solid;
+  border-radius: var(--jp-border-radius);
+  border-width: 1px;
+  padding: 6px 8px;
+  background: none;
+  color: var(--jp-ui-font-color0);
+  height: inherit;
+}
+
+.jp-FormGroup-content fieldset input[type='checkbox'] {
+  position: relative;
+  top: 2px;
+  margin-left: 0;
+}
+
+.jp-FormGroup-content button.jp-mod-styled {
+  cursor: pointer;
+}
+
+.jp-FormGroup-content .checkbox label {
+  cursor: pointer;
+  font-size: var(--jp-content-font-size1);
+}
+
+.jp-FormGroup-content .jp-root > fieldset > legend {
+  display: none;
+}
+
+.jp-FormGroup-content .jp-root > fieldset > p {
+  display: none;
+}
+
+/** copy of `input.jp-mod-styled:focus` style */
+.jp-FormGroup-content fieldset input:focus,
+.jp-FormGroup-content fieldset select:focus {
+  -moz-outline-radius: unset;
+  outline: var(--jp-border-width) solid var(--md-blue-500);
+  outline-offset: -1px;
+  box-shadow: inset 0 0 4px var(--md-blue-300);
+}
+
+.jp-FormGroup-content fieldset input:hover:not(:focus),
+.jp-FormGroup-content fieldset select:hover:not(:focus) {
+  background-color: var(--jp-border-color2);
+}
+
+/* stylelint-enable selector-max-type */
+
+.jp-FormGroup-content .checkbox .field-description {
+  /* Disable default description field for checkbox:
+   because other widgets do not have description fields,
+   we add descriptions to each widget on the field level.
+  */
+  display: none;
+}
+
+.jp-FormGroup-content #root__description {
+  display: none;
+}
+
+.jp-FormGroup-content .jp-modifiedIndicator {
+  width: 5px;
+  background-color: var(--jp-brand-color2);
+  margin-top: 0;
+  margin-left: calc(var(--jp-private-settingeditor-modifier-indent) * -1);
+  flex-shrink: 0;
+}
+
+.jp-FormGroup-content .jp-modifiedIndicator.jp-errorIndicator {
+  background-color: var(--jp-error-color0);
+  margin-right: 0.5em;
+}
+
+/* RJSF ARRAY style */
+
+.jp-arrayFieldWrapper legend {
+  font-size: var(--jp-content-font-size2);
+  color: var(--jp-ui-font-color0);
+  flex-basis: 100%;
+  padding: 4px 0;
+  font-weight: var(--jp-content-heading-font-weight);
+  border-bottom: 1px solid var(--jp-border-color2);
+}
+
+.jp-arrayFieldWrapper .field-description {
+  padding: 4px 0;
+  white-space: pre-wrap;
+}
+
+.jp-arrayFieldWrapper .array-item {
+  width: 100%;
+  border: 1px solid var(--jp-border-color2);
+  border-radius: 4px;
+  margin: 4px;
+}
+
+.jp-ArrayOperations {
+  display: flex;
+  margin-left: 8px;
+}
+
+.jp-ArrayOperationsButton {
+  margin: 2px;
+}
+
+.jp-ArrayOperationsButton .jp-icon3[fill] {
+  fill: var(--jp-ui-font-color0);
+}
+
+button.jp-ArrayOperationsButton.jp-mod-styled:disabled {
+  cursor: not-allowed;
+  opacity: 0.5;
+}
+
+/* RJSF form validation error */
+
+.jp-FormGroup-content .validationErrors {
+  color: var(--jp-error-color0);
+}
+
+/* Hide panel level error as duplicated the field level error */
+.jp-FormGroup-content .panel.errors {
+  display: none;
+}
+
+/* RJSF normal content (settings-editor) */
+
+.jp-FormGroup-contentNormal {
+  display: flex;
+  align-items: center;
+  flex-wrap: wrap;
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-contentItem {
+  margin-left: 7px;
+  color: var(--jp-ui-font-color0);
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-description {
+  flex-basis: 100%;
+  padding: 4px 7px;
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-default {
+  flex-basis: 100%;
+  padding: 4px 7px;
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-fieldLabel {
+  font-size: var(--jp-content-font-size1);
+  font-weight: normal;
+  min-width: 120px;
+}
+
+.jp-FormGroup-contentNormal fieldset:not(:first-child) {
+  margin-left: 7px;
+}
+
+.jp-FormGroup-contentNormal .field-array-of-string .array-item {
+  /* Display `jp-ArrayOperations` buttons side-by-side with content except
+    for small screens where flex-wrap will place them one below the other.
+  */
+  display: flex;
+  align-items: center;
+  flex-wrap: wrap;
+}
+
+.jp-FormGroup-contentNormal .jp-objectFieldWrapper .form-group {
+  padding: 2px 8px 2px var(--jp-private-settingeditor-modifier-indent);
+  margin-top: 2px;
+}
+
+/* RJSF compact content (metadata-form) */
+
+.jp-FormGroup-content.jp-FormGroup-contentCompact {
+  width: 100%;
+}
+
+.jp-FormGroup-contentCompact .form-group {
+  display: flex;
+  padding: 0.5em 0.2em 0.5em 0;
+}
+
+.jp-FormGroup-contentCompact
+  .jp-FormGroup-compactTitle
+  .jp-FormGroup-description {
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-FormGroup-contentCompact .jp-FormGroup-fieldLabel {
+  padding-bottom: 0.3em;
+}
+
+.jp-FormGroup-contentCompact .jp-inputFieldWrapper .form-control {
+  width: 100%;
+  box-sizing: border-box;
+}
+
+.jp-FormGroup-contentCompact .jp-arrayFieldWrapper .jp-FormGroup-compactTitle {
+  padding-bottom: 7px;
+}
+
+.jp-FormGroup-contentCompact
+  .jp-objectFieldWrapper
+  .jp-objectFieldWrapper
+  .form-group {
+  padding: 2px 8px 2px var(--jp-private-settingeditor-modifier-indent);
+  margin-top: 2px;
+}
+
+.jp-FormGroup-contentCompact ul.error-detail {
+  margin-block-start: 0.5em;
+  margin-block-end: 0.5em;
+  padding-inline-start: 1em;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-SidePanel {
+  display: flex;
+  flex-direction: column;
+  min-width: var(--jp-sidebar-min-width);
+  overflow-y: auto;
+  color: var(--jp-ui-font-color1);
+  background: var(--jp-layout-color1);
+  font-size: var(--jp-ui-font-size1);
+}
+
+.jp-SidePanel-header {
+  flex: 0 0 auto;
+  display: flex;
+  border-bottom: var(--jp-border-width) solid var(--jp-border-color2);
+  font-size: var(--jp-ui-font-size0);
+  font-weight: 600;
+  letter-spacing: 1px;
+  margin: 0;
+  padding: 2px;
+  text-transform: uppercase;
+}
+
+.jp-SidePanel-toolbar {
+  flex: 0 0 auto;
+}
+
+.jp-SidePanel-content {
+  flex: 1 1 auto;
+}
+
+.jp-SidePanel-toolbar,
+.jp-AccordionPanel-toolbar {
+  height: var(--jp-private-toolbar-height);
+}
+
+.jp-SidePanel-toolbar.jp-Toolbar-micro {
+  display: none;
+}
+
+.lm-AccordionPanel .jp-AccordionPanel-title {
+  box-sizing: border-box;
+  line-height: 25px;
+  margin: 0;
+  display: flex;
+  align-items: center;
+  background: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  font-size: var(--jp-ui-font-size0);
+}
+
+.jp-AccordionPanel-title {
+  cursor: pointer;
+  user-select: none;
+  -moz-user-select: none;
+  -webkit-user-select: none;
+  text-transform: uppercase;
+}
+
+.lm-AccordionPanel[data-orientation='horizontal'] > .jp-AccordionPanel-title {
+  /* Title is rotated for horizontal accordion panel using CSS */
+  display: block;
+  transform-origin: top left;
+  transform: rotate(-90deg) translate(-100%);
+}
+
+.jp-AccordionPanel-title .lm-AccordionPanel-titleLabel {
+  user-select: none;
+  text-overflow: ellipsis;
+  white-space: nowrap;
+  overflow: hidden;
+}
+
+.jp-AccordionPanel-title .lm-AccordionPanel-titleCollapser {
+  transform: rotate(-90deg);
+  margin: auto 0;
+  height: 16px;
+}
+
+.jp-AccordionPanel-title.lm-mod-expanded .lm-AccordionPanel-titleCollapser {
+  transform: rotate(0deg);
+}
+
+.lm-AccordionPanel .jp-AccordionPanel-toolbar {
+  background: none;
+  box-shadow: none;
+  border: none;
+  margin-left: auto;
+}
+
+.lm-AccordionPanel .lm-SplitPanel-handle:hover {
+  background: var(--jp-layout-color3);
+}
+
+.jp-text-truncated {
+  overflow: hidden;
+  text-overflow: ellipsis;
+  white-space: nowrap;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Spinner {
+  position: absolute;
+  display: flex;
+  justify-content: center;
+  align-items: center;
+  z-index: 10;
+  left: 0;
+  top: 0;
+  width: 100%;
+  height: 100%;
+  background: var(--jp-layout-color0);
+  outline: none;
+}
+
+.jp-SpinnerContent {
+  font-size: 10px;
+  margin: 50px auto;
+  text-indent: -9999em;
+  width: 3em;
+  height: 3em;
+  border-radius: 50%;
+  background: var(--jp-brand-color3);
+  background: linear-gradient(
+    to right,
+    #f37626 10%,
+    rgba(255, 255, 255, 0) 42%
+  );
+  position: relative;
+  animation: load3 1s infinite linear, fadeIn 1s;
+}
+
+.jp-SpinnerContent::before {
+  width: 50%;
+  height: 50%;
+  background: #f37626;
+  border-radius: 100% 0 0;
+  position: absolute;
+  top: 0;
+  left: 0;
+  content: '';
+}
+
+.jp-SpinnerContent::after {
+  background: var(--jp-layout-color0);
+  width: 75%;
+  height: 75%;
+  border-radius: 50%;
+  content: '';
+  margin: auto;
+  position: absolute;
+  top: 0;
+  left: 0;
+  bottom: 0;
+  right: 0;
+}
+
+@keyframes fadeIn {
+  0% {
+    opacity: 0;
+  }
+
+  100% {
+    opacity: 1;
+  }
+}
+
+@keyframes load3 {
+  0% {
+    transform: rotate(0deg);
+  }
+
+  100% {
+    transform: rotate(360deg);
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+button.jp-mod-styled {
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color0);
+  border: none;
+  box-sizing: border-box;
+  text-align: center;
+  line-height: 32px;
+  height: 32px;
+  padding: 0 12px;
+  letter-spacing: 0.8px;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+}
+
+input.jp-mod-styled {
+  background: var(--jp-input-background);
+  height: 28px;
+  box-sizing: border-box;
+  border: var(--jp-border-width) solid var(--jp-border-color1);
+  padding-left: 7px;
+  padding-right: 7px;
+  font-size: var(--jp-ui-font-size2);
+  color: var(--jp-ui-font-color0);
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+}
+
+input[type='checkbox'].jp-mod-styled {
+  appearance: checkbox;
+  -webkit-appearance: checkbox;
+  -moz-appearance: checkbox;
+  height: auto;
+}
+
+input.jp-mod-styled:focus {
+  border: var(--jp-border-width) solid var(--md-blue-500);
+  box-shadow: inset 0 0 4px var(--md-blue-300);
+}
+
+.jp-select-wrapper {
+  display: flex;
+  position: relative;
+  flex-direction: column;
+  padding: 1px;
+  background-color: var(--jp-layout-color1);
+  box-sizing: border-box;
+  margin-bottom: 12px;
+}
+
+.jp-select-wrapper:not(.multiple) {
+  height: 28px;
+}
+
+.jp-select-wrapper.jp-mod-focused select.jp-mod-styled {
+  border: var(--jp-border-width) solid var(--jp-input-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+  background-color: var(--jp-input-active-background);
+}
+
+select.jp-mod-styled:hover {
+  cursor: pointer;
+  color: var(--jp-ui-font-color0);
+  background-color: var(--jp-input-hover-background);
+  box-shadow: inset 0 0 1px rgba(0, 0, 0, 0.5);
+}
+
+select.jp-mod-styled {
+  flex: 1 1 auto;
+  width: 100%;
+  font-size: var(--jp-ui-font-size2);
+  background: var(--jp-input-background);
+  color: var(--jp-ui-font-color0);
+  padding: 0 25px 0 8px;
+  border: var(--jp-border-width) solid var(--jp-input-border-color);
+  border-radius: 0;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+}
+
+select.jp-mod-styled:not([multiple]) {
+  height: 32px;
+}
+
+select.jp-mod-styled[multiple] {
+  max-height: 200px;
+  overflow-y: auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-switch {
+  display: flex;
+  align-items: center;
+  padding-left: 4px;
+  padding-right: 4px;
+  font-size: var(--jp-ui-font-size1);
+  background-color: transparent;
+  color: var(--jp-ui-font-color1);
+  border: none;
+  height: 20px;
+}
+
+.jp-switch:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-switch-label {
+  margin-right: 5px;
+  font-family: var(--jp-ui-font-family);
+}
+
+.jp-switch-track {
+  cursor: pointer;
+  background-color: var(--jp-switch-color, var(--jp-border-color1));
+  -webkit-transition: 0.4s;
+  transition: 0.4s;
+  border-radius: 34px;
+  height: 16px;
+  width: 35px;
+  position: relative;
+}
+
+.jp-switch-track::before {
+  content: '';
+  position: absolute;
+  height: 10px;
+  width: 10px;
+  margin: 3px;
+  left: 0;
+  background-color: var(--jp-ui-inverse-font-color1);
+  -webkit-transition: 0.4s;
+  transition: 0.4s;
+  border-radius: 50%;
+}
+
+.jp-switch[aria-checked='true'] .jp-switch-track {
+  background-color: var(--jp-switch-true-position-color, var(--jp-warn-color0));
+}
+
+.jp-switch[aria-checked='true'] .jp-switch-track::before {
+  /* track width (35) - margins (3 + 3) - thumb width (10) */
+  left: 19px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-toolbar-height: calc(
+    28px + var(--jp-border-width)
+  ); /* leave 28px for content */
+}
+
+.jp-Toolbar {
+  color: var(--jp-ui-font-color1);
+  flex: 0 0 auto;
+  display: flex;
+  flex-direction: row;
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  background: var(--jp-toolbar-background);
+  min-height: var(--jp-toolbar-micro-height);
+  padding: 2px;
+  z-index: 8;
+  overflow-x: hidden;
+}
+
+/* Toolbar items */
+
+.jp-Toolbar > .jp-Toolbar-item.jp-Toolbar-spacer {
+  flex-grow: 1;
+  flex-shrink: 1;
+}
+
+.jp-Toolbar-item.jp-Toolbar-kernelStatus {
+  display: inline-block;
+  width: 32px;
+  background-repeat: no-repeat;
+  background-position: center;
+  background-size: 16px;
+}
+
+.jp-Toolbar > .jp-Toolbar-item {
+  flex: 0 0 auto;
+  display: flex;
+  padding-left: 1px;
+  padding-right: 1px;
+  font-size: var(--jp-ui-font-size1);
+  line-height: var(--jp-private-toolbar-height);
+  height: 100%;
+}
+
+/* Toolbar buttons */
+
+/* This is the div we use to wrap the react component into a Widget */
+div.jp-ToolbarButton {
+  color: transparent;
+  border: none;
+  box-sizing: border-box;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+  padding: 0;
+  margin: 0;
+}
+
+button.jp-ToolbarButtonComponent {
+  background: var(--jp-layout-color1);
+  border: none;
+  box-sizing: border-box;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+  padding: 0 6px;
+  margin: 0;
+  height: 24px;
+  border-radius: var(--jp-border-radius);
+  display: flex;
+  align-items: center;
+  text-align: center;
+  font-size: 14px;
+  min-width: unset;
+  min-height: unset;
+}
+
+button.jp-ToolbarButtonComponent:disabled {
+  opacity: 0.4;
+}
+
+button.jp-ToolbarButtonComponent > span {
+  padding: 0;
+  flex: 0 0 auto;
+}
+
+button.jp-ToolbarButtonComponent .jp-ToolbarButtonComponent-label {
+  font-size: var(--jp-ui-font-size1);
+  line-height: 100%;
+  padding-left: 2px;
+  color: var(--jp-ui-font-color1);
+  font-family: var(--jp-ui-font-family);
+}
+
+#jp-main-dock-panel[data-mode='single-document']
+  .jp-MainAreaWidget
+  > .jp-Toolbar.jp-Toolbar-micro {
+  padding: 0;
+  min-height: 0;
+}
+
+#jp-main-dock-panel[data-mode='single-document']
+  .jp-MainAreaWidget
+  > .jp-Toolbar {
+  border: none;
+  box-shadow: none;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-WindowedPanel-outer {
+  position: relative;
+  overflow-y: auto;
+}
+
+.jp-WindowedPanel-inner {
+  position: relative;
+}
+
+.jp-WindowedPanel-window {
+  position: absolute;
+  left: 0;
+  right: 0;
+  overflow: visible;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/* Sibling imports */
+
+body {
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+}
+
+/* Disable native link decoration styles everywhere outside of dialog boxes */
+a {
+  text-decoration: unset;
+  color: unset;
+}
+
+a:hover {
+  text-decoration: unset;
+  color: unset;
+}
+
+/* Accessibility for links inside dialog box text */
+.jp-Dialog-content a {
+  text-decoration: revert;
+  color: var(--jp-content-link-color);
+}
+
+.jp-Dialog-content a:hover {
+  text-decoration: revert;
+}
+
+/* Styles for ui-components */
+.jp-Button {
+  color: var(--jp-ui-font-color2);
+  border-radius: var(--jp-border-radius);
+  padding: 0 12px;
+  font-size: var(--jp-ui-font-size1);
+
+  /* Copy from blueprint 3 */
+  display: inline-flex;
+  flex-direction: row;
+  border: none;
+  cursor: pointer;
+  align-items: center;
+  justify-content: center;
+  text-align: left;
+  vertical-align: middle;
+  min-height: 30px;
+  min-width: 30px;
+}
+
+.jp-Button:disabled {
+  cursor: not-allowed;
+}
+
+.jp-Button:empty {
+  padding: 0 !important;
+}
+
+.jp-Button.jp-mod-small {
+  min-height: 24px;
+  min-width: 24px;
+  font-size: 12px;
+  padding: 0 7px;
+}
+
+/* Use our own theme for hover styles */
+.jp-Button.jp-mod-minimal:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-Button.jp-mod-minimal {
+  background: none;
+}
+
+.jp-InputGroup {
+  display: block;
+  position: relative;
+}
+
+.jp-InputGroup input {
+  box-sizing: border-box;
+  border: none;
+  border-radius: 0;
+  background-color: transparent;
+  color: var(--jp-ui-font-color0);
+  box-shadow: inset 0 0 0 var(--jp-border-width) var(--jp-input-border-color);
+  padding-bottom: 0;
+  padding-top: 0;
+  padding-left: 10px;
+  padding-right: 28px;
+  position: relative;
+  width: 100%;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+  appearance: none;
+  font-size: 14px;
+  font-weight: 400;
+  height: 30px;
+  line-height: 30px;
+  outline: none;
+  vertical-align: middle;
+}
+
+.jp-InputGroup input:focus {
+  box-shadow: inset 0 0 0 var(--jp-border-width)
+      var(--jp-input-active-box-shadow-color),
+    inset 0 0 0 3px var(--jp-input-active-box-shadow-color);
+}
+
+.jp-InputGroup input:disabled {
+  cursor: not-allowed;
+  resize: block;
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-InputGroup input:disabled ~ span {
+  cursor: not-allowed;
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-InputGroup input::placeholder,
+input::placeholder {
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-InputGroupAction {
+  position: absolute;
+  bottom: 1px;
+  right: 0;
+  padding: 6px;
+}
+
+.jp-HTMLSelect.jp-DefaultStyle select {
+  background-color: initial;
+  border: none;
+  border-radius: 0;
+  box-shadow: none;
+  color: var(--jp-ui-font-color0);
+  display: block;
+  font-size: var(--jp-ui-font-size1);
+  font-family: var(--jp-ui-font-family);
+  height: 24px;
+  line-height: 14px;
+  padding: 0 25px 0 10px;
+  text-align: left;
+  -moz-appearance: none;
+  -webkit-appearance: none;
+}
+
+.jp-HTMLSelect.jp-DefaultStyle select:disabled {
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color2);
+  cursor: not-allowed;
+  resize: block;
+}
+
+.jp-HTMLSelect.jp-DefaultStyle select:disabled ~ span {
+  cursor: not-allowed;
+}
+
+/* Use our own theme for hover and option styles */
+/* stylelint-disable-next-line selector-max-type */
+.jp-HTMLSelect.jp-DefaultStyle select:hover,
+.jp-HTMLSelect.jp-DefaultStyle select > option {
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color0);
+}
+
+select {
+  box-sizing: border-box;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Styles
+|----------------------------------------------------------------------------*/
+
+.jp-StatusBar-Widget {
+  display: flex;
+  align-items: center;
+  background: var(--jp-layout-color2);
+  min-height: var(--jp-statusbar-height);
+  justify-content: space-between;
+  padding: 0 10px;
+}
+
+.jp-StatusBar-Left {
+  display: flex;
+  align-items: center;
+  flex-direction: row;
+}
+
+.jp-StatusBar-Middle {
+  display: flex;
+  align-items: center;
+}
+
+.jp-StatusBar-Right {
+  display: flex;
+  align-items: center;
+  flex-direction: row-reverse;
+}
+
+.jp-StatusBar-Item {
+  max-height: var(--jp-statusbar-height);
+  margin: 0 2px;
+  height: var(--jp-statusbar-height);
+  white-space: nowrap;
+  text-overflow: ellipsis;
+  color: var(--jp-ui-font-color1);
+  padding: 0 6px;
+}
+
+.jp-mod-highlighted:hover {
+  background-color: var(--jp-layout-color3);
+}
+
+.jp-mod-clicked {
+  background-color: var(--jp-brand-color1);
+}
+
+.jp-mod-clicked:hover {
+  background-color: var(--jp-brand-color0);
+}
+
+.jp-mod-clicked .jp-StatusBar-TextItem {
+  color: var(--jp-ui-inverse-font-color1);
+}
+
+.jp-StatusBar-HoverItem {
+  box-shadow: '0px 4px 4px rgba(0, 0, 0, 0.25)';
+}
+
+.jp-StatusBar-TextItem {
+  font-size: var(--jp-ui-font-size1);
+  font-family: var(--jp-ui-font-family);
+  line-height: 24px;
+  color: var(--jp-ui-font-color1);
+}
+
+.jp-StatusBar-GroupItem {
+  display: flex;
+  align-items: center;
+  flex-direction: row;
+}
+
+.jp-Statusbar-ProgressCircle svg {
+  display: block;
+  margin: 0 auto;
+  width: 16px;
+  height: 24px;
+  align-self: normal;
+}
+
+.jp-Statusbar-ProgressCircle path {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-Statusbar-ProgressBar-progress-bar {
+  height: 10px;
+  width: 100px;
+  border: solid 0.25px var(--jp-brand-color2);
+  border-radius: 3px;
+  overflow: hidden;
+  align-self: center;
+}
+
+.jp-Statusbar-ProgressBar-progress-bar > div {
+  background-color: var(--jp-brand-color2);
+  background-image: linear-gradient(
+    -45deg,
+    rgba(255, 255, 255, 0.2) 25%,
+    transparent 25%,
+    transparent 50%,
+    rgba(255, 255, 255, 0.2) 50%,
+    rgba(255, 255, 255, 0.2) 75%,
+    transparent 75%,
+    transparent
+  );
+  background-size: 40px 40px;
+  float: left;
+  width: 0%;
+  height: 100%;
+  font-size: 12px;
+  line-height: 14px;
+  color: #fff;
+  text-align: center;
+  animation: jp-Statusbar-ExecutionTime-progress-bar 2s linear infinite;
+}
+
+.jp-Statusbar-ProgressBar-progress-bar p {
+  color: var(--jp-ui-font-color1);
+  font-family: var(--jp-ui-font-family);
+  font-size: var(--jp-ui-font-size1);
+  line-height: 10px;
+  width: 100px;
+}
+
+@keyframes jp-Statusbar-ExecutionTime-progress-bar {
+  0% {
+    background-position: 0 0;
+  }
+
+  100% {
+    background-position: 40px 40px;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-commandpalette-search-height: 28px;
+}
+
+/*-----------------------------------------------------------------------------
+| Overall styles
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette {
+  padding-bottom: 0;
+  color: var(--jp-ui-font-color1);
+  background: var(--jp-layout-color1);
+
+  /* This is needed so that all font sizing of children done in ems is
+   * relative to this base size */
+  font-size: var(--jp-ui-font-size1);
+}
+
+/*-----------------------------------------------------------------------------
+| Modal variant
+|----------------------------------------------------------------------------*/
+
+.jp-ModalCommandPalette {
+  position: absolute;
+  z-index: 10000;
+  top: 38px;
+  left: 30%;
+  margin: 0;
+  padding: 4px;
+  width: 40%;
+  box-shadow: var(--jp-elevation-z4);
+  border-radius: 4px;
+  background: var(--jp-layout-color0);
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette {
+  max-height: 40vh;
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette .lm-close-icon::after {
+  display: none;
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette .lm-CommandPalette-header {
+  display: none;
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette .lm-CommandPalette-item {
+  margin-left: 4px;
+  margin-right: 4px;
+}
+
+.jp-ModalCommandPalette
+  .lm-CommandPalette
+  .lm-CommandPalette-item.lm-mod-disabled {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Search
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette-search {
+  padding: 4px;
+  background-color: var(--jp-layout-color1);
+  z-index: 2;
+}
+
+.lm-CommandPalette-wrapper {
+  overflow: overlay;
+  padding: 0 9px;
+  background-color: var(--jp-input-active-background);
+  height: 30px;
+  box-shadow: inset 0 0 0 var(--jp-border-width) var(--jp-input-border-color);
+}
+
+.lm-CommandPalette.lm-mod-focused .lm-CommandPalette-wrapper {
+  box-shadow: inset 0 0 0 1px var(--jp-input-active-box-shadow-color),
+    inset 0 0 0 3px var(--jp-input-active-box-shadow-color);
+}
+
+.jp-SearchIconGroup {
+  color: white;
+  background-color: var(--jp-brand-color1);
+  position: absolute;
+  top: 4px;
+  right: 4px;
+  padding: 5px 5px 1px;
+}
+
+.jp-SearchIconGroup svg {
+  height: 20px;
+  width: 20px;
+}
+
+.jp-SearchIconGroup .jp-icon3[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.lm-CommandPalette-input {
+  background: transparent;
+  width: calc(100% - 18px);
+  float: left;
+  border: none;
+  outline: none;
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color0);
+  line-height: var(--jp-private-commandpalette-search-height);
+}
+
+.lm-CommandPalette-input::-webkit-input-placeholder,
+.lm-CommandPalette-input::-moz-placeholder,
+.lm-CommandPalette-input:-ms-input-placeholder {
+  color: var(--jp-ui-font-color2);
+  font-size: var(--jp-ui-font-size1);
+}
+
+/*-----------------------------------------------------------------------------
+| Results
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette-header:first-child {
+  margin-top: 0;
+}
+
+.lm-CommandPalette-header {
+  border-bottom: solid var(--jp-border-width) var(--jp-border-color2);
+  color: var(--jp-ui-font-color1);
+  cursor: pointer;
+  display: flex;
+  font-size: var(--jp-ui-font-size0);
+  font-weight: 600;
+  letter-spacing: 1px;
+  margin-top: 8px;
+  padding: 8px 0 8px 12px;
+  text-transform: uppercase;
+}
+
+.lm-CommandPalette-header.lm-mod-active {
+  background: var(--jp-layout-color2);
+}
+
+.lm-CommandPalette-header > mark {
+  background-color: transparent;
+  font-weight: bold;
+  color: var(--jp-ui-font-color1);
+}
+
+.lm-CommandPalette-item {
+  padding: 4px 12px 4px 4px;
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  font-weight: 400;
+  display: flex;
+}
+
+.lm-CommandPalette-item.lm-mod-disabled {
+  color: var(--jp-ui-font-color2);
+}
+
+.lm-CommandPalette-item.lm-mod-active {
+  color: var(--jp-ui-inverse-font-color1);
+  background: var(--jp-brand-color1);
+}
+
+.lm-CommandPalette-item.lm-mod-active .lm-CommandPalette-itemLabel > mark {
+  color: var(--jp-ui-inverse-font-color0);
+}
+
+.lm-CommandPalette-item.lm-mod-active .jp-icon-selectable[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.lm-CommandPalette-item.lm-mod-active:hover:not(.lm-mod-disabled) {
+  color: var(--jp-ui-inverse-font-color1);
+  background: var(--jp-brand-color1);
+}
+
+.lm-CommandPalette-item:hover:not(.lm-mod-active):not(.lm-mod-disabled) {
+  background: var(--jp-layout-color2);
+}
+
+.lm-CommandPalette-itemContent {
+  overflow: hidden;
+}
+
+.lm-CommandPalette-itemLabel > mark {
+  color: var(--jp-ui-font-color0);
+  background-color: transparent;
+  font-weight: bold;
+}
+
+.lm-CommandPalette-item.lm-mod-disabled mark {
+  color: var(--jp-ui-font-color2);
+}
+
+.lm-CommandPalette-item .lm-CommandPalette-itemIcon {
+  margin: 0 4px 0 0;
+  position: relative;
+  width: 16px;
+  top: 2px;
+  flex: 0 0 auto;
+}
+
+.lm-CommandPalette-item.lm-mod-disabled .lm-CommandPalette-itemIcon {
+  opacity: 0.6;
+}
+
+.lm-CommandPalette-item .lm-CommandPalette-itemShortcut {
+  flex: 0 0 auto;
+}
+
+.lm-CommandPalette-itemCaption {
+  display: none;
+}
+
+.lm-CommandPalette-content {
+  background-color: var(--jp-layout-color1);
+}
+
+.lm-CommandPalette-content:empty::after {
+  content: 'No results';
+  margin: auto;
+  margin-top: 20px;
+  width: 100px;
+  display: block;
+  font-size: var(--jp-ui-font-size2);
+  font-family: var(--jp-ui-font-family);
+  font-weight: lighter;
+}
+
+.lm-CommandPalette-emptyMessage {
+  text-align: center;
+  margin-top: 24px;
+  line-height: 1.32;
+  padding: 0 8px;
+  color: var(--jp-content-font-color3);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Dialog {
+  position: absolute;
+  z-index: 10000;
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  justify-content: center;
+  top: 0;
+  left: 0;
+  margin: 0;
+  padding: 0;
+  width: 100%;
+  height: 100%;
+  background: var(--jp-dialog-background);
+}
+
+.jp-Dialog-content {
+  display: flex;
+  flex-direction: column;
+  margin-left: auto;
+  margin-right: auto;
+  background: var(--jp-layout-color1);
+  padding: 24px 24px 12px;
+  min-width: 300px;
+  min-height: 150px;
+  max-width: 1000px;
+  max-height: 500px;
+  box-sizing: border-box;
+  box-shadow: var(--jp-elevation-z20);
+  word-wrap: break-word;
+  border-radius: var(--jp-border-radius);
+
+  /* This is needed so that all font sizing of children done in ems is
+   * relative to this base size */
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color1);
+  resize: both;
+}
+
+.jp-Dialog-content.jp-Dialog-content-small {
+  max-width: 500px;
+}
+
+.jp-Dialog-button {
+  overflow: visible;
+}
+
+button.jp-Dialog-button:focus {
+  outline: 1px solid var(--jp-brand-color1);
+  outline-offset: 4px;
+  -moz-outline-radius: 0;
+}
+
+button.jp-Dialog-button:focus::-moz-focus-inner {
+  border: 0;
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-accept:focus,
+button.jp-Dialog-button.jp-mod-styled.jp-mod-warn:focus,
+button.jp-Dialog-button.jp-mod-styled.jp-mod-reject:focus {
+  outline-offset: 4px;
+  -moz-outline-radius: 0;
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-accept:focus {
+  outline: 1px solid var(--jp-accept-color-normal, var(--jp-brand-color1));
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-warn:focus {
+  outline: 1px solid var(--jp-warn-color-normal, var(--jp-error-color1));
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-reject:focus {
+  outline: 1px solid var(--jp-reject-color-normal, var(--md-grey-600));
+}
+
+button.jp-Dialog-close-button {
+  padding: 0;
+  height: 100%;
+  min-width: unset;
+  min-height: unset;
+}
+
+.jp-Dialog-header {
+  display: flex;
+  justify-content: space-between;
+  flex: 0 0 auto;
+  padding-bottom: 12px;
+  font-size: var(--jp-ui-font-size3);
+  font-weight: 400;
+  color: var(--jp-ui-font-color1);
+}
+
+.jp-Dialog-body {
+  display: flex;
+  flex-direction: column;
+  flex: 1 1 auto;
+  font-size: var(--jp-ui-font-size1);
+  background: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  overflow: auto;
+}
+
+.jp-Dialog-footer {
+  display: flex;
+  flex-direction: row;
+  justify-content: flex-end;
+  align-items: center;
+  flex: 0 0 auto;
+  margin-left: -12px;
+  margin-right: -12px;
+  padding: 12px;
+}
+
+.jp-Dialog-checkbox {
+  padding-right: 5px;
+}
+
+.jp-Dialog-checkbox > input:focus-visible {
+  outline: 1px solid var(--jp-input-active-border-color);
+  outline-offset: 1px;
+}
+
+.jp-Dialog-spacer {
+  flex: 1 1 auto;
+}
+
+.jp-Dialog-title {
+  overflow: hidden;
+  white-space: nowrap;
+  text-overflow: ellipsis;
+}
+
+.jp-Dialog-body > .jp-select-wrapper {
+  width: 100%;
+}
+
+.jp-Dialog-body > button {
+  padding: 0 16px;
+}
+
+.jp-Dialog-body > label {
+  line-height: 1.4;
+  color: var(--jp-ui-font-color0);
+}
+
+.jp-Dialog-button.jp-mod-styled:not(:last-child) {
+  margin-right: 12px;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-Input-Boolean-Dialog {
+  flex-direction: row-reverse;
+  align-items: end;
+  width: 100%;
+}
+
+.jp-Input-Boolean-Dialog > label {
+  flex: 1 1 auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-MainAreaWidget > :focus {
+  outline: none;
+}
+
+.jp-MainAreaWidget .jp-MainAreaWidget-error {
+  padding: 6px;
+}
+
+.jp-MainAreaWidget .jp-MainAreaWidget-error > pre {
+  width: auto;
+  padding: 10px;
+  background: var(--jp-error-color3);
+  border: var(--jp-border-width) solid var(--jp-error-color1);
+  border-radius: var(--jp-border-radius);
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  white-space: pre-wrap;
+  word-wrap: break-word;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/**
+ * google-material-color v1.2.6
+ * https://github.com/danlevan/google-material-color
+ */
+:root {
+  --md-red-50: #ffebee;
+  --md-red-100: #ffcdd2;
+  --md-red-200: #ef9a9a;
+  --md-red-300: #e57373;
+  --md-red-400: #ef5350;
+  --md-red-500: #f44336;
+  --md-red-600: #e53935;
+  --md-red-700: #d32f2f;
+  --md-red-800: #c62828;
+  --md-red-900: #b71c1c;
+  --md-red-A100: #ff8a80;
+  --md-red-A200: #ff5252;
+  --md-red-A400: #ff1744;
+  --md-red-A700: #d50000;
+  --md-pink-50: #fce4ec;
+  --md-pink-100: #f8bbd0;
+  --md-pink-200: #f48fb1;
+  --md-pink-300: #f06292;
+  --md-pink-400: #ec407a;
+  --md-pink-500: #e91e63;
+  --md-pink-600: #d81b60;
+  --md-pink-700: #c2185b;
+  --md-pink-800: #ad1457;
+  --md-pink-900: #880e4f;
+  --md-pink-A100: #ff80ab;
+  --md-pink-A200: #ff4081;
+  --md-pink-A400: #f50057;
+  --md-pink-A700: #c51162;
+  --md-purple-50: #f3e5f5;
+  --md-purple-100: #e1bee7;
+  --md-purple-200: #ce93d8;
+  --md-purple-300: #ba68c8;
+  --md-purple-400: #ab47bc;
+  --md-purple-500: #9c27b0;
+  --md-purple-600: #8e24aa;
+  --md-purple-700: #7b1fa2;
+  --md-purple-800: #6a1b9a;
+  --md-purple-900: #4a148c;
+  --md-purple-A100: #ea80fc;
+  --md-purple-A200: #e040fb;
+  --md-purple-A400: #d500f9;
+  --md-purple-A700: #a0f;
+  --md-deep-purple-50: #ede7f6;
+  --md-deep-purple-100: #d1c4e9;
+  --md-deep-purple-200: #b39ddb;
+  --md-deep-purple-300: #9575cd;
+  --md-deep-purple-400: #7e57c2;
+  --md-deep-purple-500: #673ab7;
+  --md-deep-purple-600: #5e35b1;
+  --md-deep-purple-700: #512da8;
+  --md-deep-purple-800: #4527a0;
+  --md-deep-purple-900: #311b92;
+  --md-deep-purple-A100: #b388ff;
+  --md-deep-purple-A200: #7c4dff;
+  --md-deep-purple-A400: #651fff;
+  --md-deep-purple-A700: #6200ea;
+  --md-indigo-50: #e8eaf6;
+  --md-indigo-100: #c5cae9;
+  --md-indigo-200: #9fa8da;
+  --md-indigo-300: #7986cb;
+  --md-indigo-400: #5c6bc0;
+  --md-indigo-500: #3f51b5;
+  --md-indigo-600: #3949ab;
+  --md-indigo-700: #303f9f;
+  --md-indigo-800: #283593;
+  --md-indigo-900: #1a237e;
+  --md-indigo-A100: #8c9eff;
+  --md-indigo-A200: #536dfe;
+  --md-indigo-A400: #3d5afe;
+  --md-indigo-A700: #304ffe;
+  --md-blue-50: #e3f2fd;
+  --md-blue-100: #bbdefb;
+  --md-blue-200: #90caf9;
+  --md-blue-300: #64b5f6;
+  --md-blue-400: #42a5f5;
+  --md-blue-500: #2196f3;
+  --md-blue-600: #1e88e5;
+  --md-blue-700: #1976d2;
+  --md-blue-800: #1565c0;
+  --md-blue-900: #0d47a1;
+  --md-blue-A100: #82b1ff;
+  --md-blue-A200: #448aff;
+  --md-blue-A400: #2979ff;
+  --md-blue-A700: #2962ff;
+  --md-light-blue-50: #e1f5fe;
+  --md-light-blue-100: #b3e5fc;
+  --md-light-blue-200: #81d4fa;
+  --md-light-blue-300: #4fc3f7;
+  --md-light-blue-400: #29b6f6;
+  --md-light-blue-500: #03a9f4;
+  --md-light-blue-600: #039be5;
+  --md-light-blue-700: #0288d1;
+  --md-light-blue-800: #0277bd;
+  --md-light-blue-900: #01579b;
+  --md-light-blue-A100: #80d8ff;
+  --md-light-blue-A200: #40c4ff;
+  --md-light-blue-A400: #00b0ff;
+  --md-light-blue-A700: #0091ea;
+  --md-cyan-50: #e0f7fa;
+  --md-cyan-100: #b2ebf2;
+  --md-cyan-200: #80deea;
+  --md-cyan-300: #4dd0e1;
+  --md-cyan-400: #26c6da;
+  --md-cyan-500: #00bcd4;
+  --md-cyan-600: #00acc1;
+  --md-cyan-700: #0097a7;
+  --md-cyan-800: #00838f;
+  --md-cyan-900: #006064;
+  --md-cyan-A100: #84ffff;
+  --md-cyan-A200: #18ffff;
+  --md-cyan-A400: #00e5ff;
+  --md-cyan-A700: #00b8d4;
+  --md-teal-50: #e0f2f1;
+  --md-teal-100: #b2dfdb;
+  --md-teal-200: #80cbc4;
+  --md-teal-300: #4db6ac;
+  --md-teal-400: #26a69a;
+  --md-teal-500: #009688;
+  --md-teal-600: #00897b;
+  --md-teal-700: #00796b;
+  --md-teal-800: #00695c;
+  --md-teal-900: #004d40;
+  --md-teal-A100: #a7ffeb;
+  --md-teal-A200: #64ffda;
+  --md-teal-A400: #1de9b6;
+  --md-teal-A700: #00bfa5;
+  --md-green-50: #e8f5e9;
+  --md-green-100: #c8e6c9;
+  --md-green-200: #a5d6a7;
+  --md-green-300: #81c784;
+  --md-green-400: #66bb6a;
+  --md-green-500: #4caf50;
+  --md-green-600: #43a047;
+  --md-green-700: #388e3c;
+  --md-green-800: #2e7d32;
+  --md-green-900: #1b5e20;
+  --md-green-A100: #b9f6ca;
+  --md-green-A200: #69f0ae;
+  --md-green-A400: #00e676;
+  --md-green-A700: #00c853;
+  --md-light-green-50: #f1f8e9;
+  --md-light-green-100: #dcedc8;
+  --md-light-green-200: #c5e1a5;
+  --md-light-green-300: #aed581;
+  --md-light-green-400: #9ccc65;
+  --md-light-green-500: #8bc34a;
+  --md-light-green-600: #7cb342;
+  --md-light-green-700: #689f38;
+  --md-light-green-800: #558b2f;
+  --md-light-green-900: #33691e;
+  --md-light-green-A100: #ccff90;
+  --md-light-green-A200: #b2ff59;
+  --md-light-green-A400: #76ff03;
+  --md-light-green-A700: #64dd17;
+  --md-lime-50: #f9fbe7;
+  --md-lime-100: #f0f4c3;
+  --md-lime-200: #e6ee9c;
+  --md-lime-300: #dce775;
+  --md-lime-400: #d4e157;
+  --md-lime-500: #cddc39;
+  --md-lime-600: #c0ca33;
+  --md-lime-700: #afb42b;
+  --md-lime-800: #9e9d24;
+  --md-lime-900: #827717;
+  --md-lime-A100: #f4ff81;
+  --md-lime-A200: #eeff41;
+  --md-lime-A400: #c6ff00;
+  --md-lime-A700: #aeea00;
+  --md-yellow-50: #fffde7;
+  --md-yellow-100: #fff9c4;
+  --md-yellow-200: #fff59d;
+  --md-yellow-300: #fff176;
+  --md-yellow-400: #ffee58;
+  --md-yellow-500: #ffeb3b;
+  --md-yellow-600: #fdd835;
+  --md-yellow-700: #fbc02d;
+  --md-yellow-800: #f9a825;
+  --md-yellow-900: #f57f17;
+  --md-yellow-A100: #ffff8d;
+  --md-yellow-A200: #ff0;
+  --md-yellow-A400: #ffea00;
+  --md-yellow-A700: #ffd600;
+  --md-amber-50: #fff8e1;
+  --md-amber-100: #ffecb3;
+  --md-amber-200: #ffe082;
+  --md-amber-300: #ffd54f;
+  --md-amber-400: #ffca28;
+  --md-amber-500: #ffc107;
+  --md-amber-600: #ffb300;
+  --md-amber-700: #ffa000;
+  --md-amber-800: #ff8f00;
+  --md-amber-900: #ff6f00;
+  --md-amber-A100: #ffe57f;
+  --md-amber-A200: #ffd740;
+  --md-amber-A400: #ffc400;
+  --md-amber-A700: #ffab00;
+  --md-orange-50: #fff3e0;
+  --md-orange-100: #ffe0b2;
+  --md-orange-200: #ffcc80;
+  --md-orange-300: #ffb74d;
+  --md-orange-400: #ffa726;
+  --md-orange-500: #ff9800;
+  --md-orange-600: #fb8c00;
+  --md-orange-700: #f57c00;
+  --md-orange-800: #ef6c00;
+  --md-orange-900: #e65100;
+  --md-orange-A100: #ffd180;
+  --md-orange-A200: #ffab40;
+  --md-orange-A400: #ff9100;
+  --md-orange-A700: #ff6d00;
+  --md-deep-orange-50: #fbe9e7;
+  --md-deep-orange-100: #ffccbc;
+  --md-deep-orange-200: #ffab91;
+  --md-deep-orange-300: #ff8a65;
+  --md-deep-orange-400: #ff7043;
+  --md-deep-orange-500: #ff5722;
+  --md-deep-orange-600: #f4511e;
+  --md-deep-orange-700: #e64a19;
+  --md-deep-orange-800: #d84315;
+  --md-deep-orange-900: #bf360c;
+  --md-deep-orange-A100: #ff9e80;
+  --md-deep-orange-A200: #ff6e40;
+  --md-deep-orange-A400: #ff3d00;
+  --md-deep-orange-A700: #dd2c00;
+  --md-brown-50: #efebe9;
+  --md-brown-100: #d7ccc8;
+  --md-brown-200: #bcaaa4;
+  --md-brown-300: #a1887f;
+  --md-brown-400: #8d6e63;
+  --md-brown-500: #795548;
+  --md-brown-600: #6d4c41;
+  --md-brown-700: #5d4037;
+  --md-brown-800: #4e342e;
+  --md-brown-900: #3e2723;
+  --md-grey-50: #fafafa;
+  --md-grey-100: #f5f5f5;
+  --md-grey-200: #eee;
+  --md-grey-300: #e0e0e0;
+  --md-grey-400: #bdbdbd;
+  --md-grey-500: #9e9e9e;
+  --md-grey-600: #757575;
+  --md-grey-700: #616161;
+  --md-grey-800: #424242;
+  --md-grey-900: #212121;
+  --md-blue-grey-50: #eceff1;
+  --md-blue-grey-100: #cfd8dc;
+  --md-blue-grey-200: #b0bec5;
+  --md-blue-grey-300: #90a4ae;
+  --md-blue-grey-400: #78909c;
+  --md-blue-grey-500: #607d8b;
+  --md-blue-grey-600: #546e7a;
+  --md-blue-grey-700: #455a64;
+  --md-blue-grey-800: #37474f;
+  --md-blue-grey-900: #263238;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| RenderedText
+|----------------------------------------------------------------------------*/
+
+:root {
+  /* This is the padding value to fill the gaps between lines containing spans with background color. */
+  --jp-private-code-span-padding: calc(
+    (var(--jp-code-line-height) - 1) * var(--jp-code-font-size) / 2
+  );
+}
+
+.jp-RenderedText {
+  text-align: left;
+  padding-left: var(--jp-code-padding);
+  line-height: var(--jp-code-line-height);
+  font-family: var(--jp-code-font-family);
+}
+
+.jp-RenderedText pre,
+.jp-RenderedJavaScript pre,
+.jp-RenderedHTMLCommon pre {
+  color: var(--jp-content-font-color1);
+  font-size: var(--jp-code-font-size);
+  border: none;
+  margin: 0;
+  padding: 0;
+}
+
+.jp-RenderedText pre a:link {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+.jp-RenderedText pre a:hover {
+  text-decoration: underline;
+  color: var(--jp-content-link-color);
+}
+
+.jp-RenderedText pre a:visited {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+/* console foregrounds and backgrounds */
+.jp-RenderedText pre .ansi-black-fg {
+  color: #3e424d;
+}
+
+.jp-RenderedText pre .ansi-red-fg {
+  color: #e75c58;
+}
+
+.jp-RenderedText pre .ansi-green-fg {
+  color: #00a250;
+}
+
+.jp-RenderedText pre .ansi-yellow-fg {
+  color: #ddb62b;
+}
+
+.jp-RenderedText pre .ansi-blue-fg {
+  color: #208ffb;
+}
+
+.jp-RenderedText pre .ansi-magenta-fg {
+  color: #d160c4;
+}
+
+.jp-RenderedText pre .ansi-cyan-fg {
+  color: #60c6c8;
+}
+
+.jp-RenderedText pre .ansi-white-fg {
+  color: #c5c1b4;
+}
+
+.jp-RenderedText pre .ansi-black-bg {
+  background-color: #3e424d;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-red-bg {
+  background-color: #e75c58;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-green-bg {
+  background-color: #00a250;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-yellow-bg {
+  background-color: #ddb62b;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-blue-bg {
+  background-color: #208ffb;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-magenta-bg {
+  background-color: #d160c4;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-cyan-bg {
+  background-color: #60c6c8;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-white-bg {
+  background-color: #c5c1b4;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-black-intense-fg {
+  color: #282c36;
+}
+
+.jp-RenderedText pre .ansi-red-intense-fg {
+  color: #b22b31;
+}
+
+.jp-RenderedText pre .ansi-green-intense-fg {
+  color: #007427;
+}
+
+.jp-RenderedText pre .ansi-yellow-intense-fg {
+  color: #b27d12;
+}
+
+.jp-RenderedText pre .ansi-blue-intense-fg {
+  color: #0065ca;
+}
+
+.jp-RenderedText pre .ansi-magenta-intense-fg {
+  color: #a03196;
+}
+
+.jp-RenderedText pre .ansi-cyan-intense-fg {
+  color: #258f8f;
+}
+
+.jp-RenderedText pre .ansi-white-intense-fg {
+  color: #a1a6b2;
+}
+
+.jp-RenderedText pre .ansi-black-intense-bg {
+  background-color: #282c36;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-red-intense-bg {
+  background-color: #b22b31;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-green-intense-bg {
+  background-color: #007427;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-yellow-intense-bg {
+  background-color: #b27d12;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-blue-intense-bg {
+  background-color: #0065ca;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-magenta-intense-bg {
+  background-color: #a03196;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-cyan-intense-bg {
+  background-color: #258f8f;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-white-intense-bg {
+  background-color: #a1a6b2;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-default-inverse-fg {
+  color: var(--jp-ui-inverse-font-color0);
+}
+
+.jp-RenderedText pre .ansi-default-inverse-bg {
+  background-color: var(--jp-inverse-layout-color0);
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-bold {
+  font-weight: bold;
+}
+
+.jp-RenderedText pre .ansi-underline {
+  text-decoration: underline;
+}
+
+.jp-RenderedText[data-mime-type='application/vnd.jupyter.stderr'] {
+  background: var(--jp-rendermime-error-background);
+  padding-top: var(--jp-code-padding);
+}
+
+/*-----------------------------------------------------------------------------
+| RenderedLatex
+|----------------------------------------------------------------------------*/
+
+.jp-RenderedLatex {
+  color: var(--jp-content-font-color1);
+  font-size: var(--jp-content-font-size1);
+  line-height: var(--jp-content-line-height);
+}
+
+/* Left-justify outputs.*/
+.jp-OutputArea-output.jp-RenderedLatex {
+  padding: var(--jp-code-padding);
+  text-align: left;
+}
+
+/*-----------------------------------------------------------------------------
+| RenderedHTML
+|----------------------------------------------------------------------------*/
+
+.jp-RenderedHTMLCommon {
+  color: var(--jp-content-font-color1);
+  font-family: var(--jp-content-font-family);
+  font-size: var(--jp-content-font-size1);
+  line-height: var(--jp-content-line-height);
+
+  /* Give a bit more R padding on Markdown text to keep line lengths reasonable */
+  padding-right: 20px;
+}
+
+.jp-RenderedHTMLCommon em {
+  font-style: italic;
+}
+
+.jp-RenderedHTMLCommon strong {
+  font-weight: bold;
+}
+
+.jp-RenderedHTMLCommon u {
+  text-decoration: underline;
+}
+
+.jp-RenderedHTMLCommon a:link {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+.jp-RenderedHTMLCommon a:hover {
+  text-decoration: underline;
+  color: var(--jp-content-link-color);
+}
+
+.jp-RenderedHTMLCommon a:visited {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+/* Headings */
+
+.jp-RenderedHTMLCommon h1,
+.jp-RenderedHTMLCommon h2,
+.jp-RenderedHTMLCommon h3,
+.jp-RenderedHTMLCommon h4,
+.jp-RenderedHTMLCommon h5,
+.jp-RenderedHTMLCommon h6 {
+  line-height: var(--jp-content-heading-line-height);
+  font-weight: var(--jp-content-heading-font-weight);
+  font-style: normal;
+  margin: var(--jp-content-heading-margin-top) 0
+    var(--jp-content-heading-margin-bottom) 0;
+}
+
+.jp-RenderedHTMLCommon h1:first-child,
+.jp-RenderedHTMLCommon h2:first-child,
+.jp-RenderedHTMLCommon h3:first-child,
+.jp-RenderedHTMLCommon h4:first-child,
+.jp-RenderedHTMLCommon h5:first-child,
+.jp-RenderedHTMLCommon h6:first-child {
+  margin-top: calc(0.5 * var(--jp-content-heading-margin-top));
+}
+
+.jp-RenderedHTMLCommon h1:last-child,
+.jp-RenderedHTMLCommon h2:last-child,
+.jp-RenderedHTMLCommon h3:last-child,
+.jp-RenderedHTMLCommon h4:last-child,
+.jp-RenderedHTMLCommon h5:last-child,
+.jp-RenderedHTMLCommon h6:last-child {
+  margin-bottom: calc(0.5 * var(--jp-content-heading-margin-bottom));
+}
+
+.jp-RenderedHTMLCommon h1 {
+  font-size: var(--jp-content-font-size5);
+}
+
+.jp-RenderedHTMLCommon h2 {
+  font-size: var(--jp-content-font-size4);
+}
+
+.jp-RenderedHTMLCommon h3 {
+  font-size: var(--jp-content-font-size3);
+}
+
+.jp-RenderedHTMLCommon h4 {
+  font-size: var(--jp-content-font-size2);
+}
+
+.jp-RenderedHTMLCommon h5 {
+  font-size: var(--jp-content-font-size1);
+}
+
+.jp-RenderedHTMLCommon h6 {
+  font-size: var(--jp-content-font-size0);
+}
+
+/* Lists */
+
+/* stylelint-disable selector-max-type, selector-max-compound-selectors */
+
+.jp-RenderedHTMLCommon ul:not(.list-inline),
+.jp-RenderedHTMLCommon ol:not(.list-inline) {
+  padding-left: 2em;
+}
+
+.jp-RenderedHTMLCommon ul {
+  list-style: disc;
+}
+
+.jp-RenderedHTMLCommon ul ul {
+  list-style: square;
+}
+
+.jp-RenderedHTMLCommon ul ul ul {
+  list-style: circle;
+}
+
+.jp-RenderedHTMLCommon ol {
+  list-style: decimal;
+}
+
+.jp-RenderedHTMLCommon ol ol {
+  list-style: upper-alpha;
+}
+
+.jp-RenderedHTMLCommon ol ol ol {
+  list-style: lower-alpha;
+}
+
+.jp-RenderedHTMLCommon ol ol ol ol {
+  list-style: lower-roman;
+}
+
+.jp-RenderedHTMLCommon ol ol ol ol ol {
+  list-style: decimal;
+}
+
+.jp-RenderedHTMLCommon ol,
+.jp-RenderedHTMLCommon ul {
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon ul ul,
+.jp-RenderedHTMLCommon ul ol,
+.jp-RenderedHTMLCommon ol ul,
+.jp-RenderedHTMLCommon ol ol {
+  margin-bottom: 0;
+}
+
+/* stylelint-enable selector-max-type, selector-max-compound-selectors */
+
+.jp-RenderedHTMLCommon hr {
+  color: var(--jp-border-color2);
+  background-color: var(--jp-border-color1);
+  margin-top: 1em;
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon > pre {
+  margin: 1.5em 2em;
+}
+
+.jp-RenderedHTMLCommon pre,
+.jp-RenderedHTMLCommon code {
+  border: 0;
+  background-color: var(--jp-layout-color0);
+  color: var(--jp-content-font-color1);
+  font-family: var(--jp-code-font-family);
+  font-size: inherit;
+  line-height: var(--jp-code-line-height);
+  padding: 0;
+  white-space: pre-wrap;
+}
+
+.jp-RenderedHTMLCommon :not(pre) > code {
+  background-color: var(--jp-layout-color2);
+  padding: 1px 5px;
+}
+
+/* Tables */
+
+.jp-RenderedHTMLCommon table {
+  border-collapse: collapse;
+  border-spacing: 0;
+  border: none;
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  table-layout: fixed;
+  margin-left: auto;
+  margin-bottom: 1em;
+  margin-right: auto;
+}
+
+.jp-RenderedHTMLCommon thead {
+  border-bottom: var(--jp-border-width) solid var(--jp-border-color1);
+  vertical-align: bottom;
+}
+
+.jp-RenderedHTMLCommon td,
+.jp-RenderedHTMLCommon th,
+.jp-RenderedHTMLCommon tr {
+  vertical-align: middle;
+  padding: 0.5em;
+  line-height: normal;
+  white-space: normal;
+  max-width: none;
+  border: none;
+}
+
+.jp-RenderedMarkdown.jp-RenderedHTMLCommon td,
+.jp-RenderedMarkdown.jp-RenderedHTMLCommon th {
+  max-width: none;
+}
+
+:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon td,
+:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon th,
+:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon tr {
+  text-align: right;
+}
+
+.jp-RenderedHTMLCommon th {
+  font-weight: bold;
+}
+
+.jp-RenderedHTMLCommon tbody tr:nth-child(odd) {
+  background: var(--jp-layout-color0);
+}
+
+.jp-RenderedHTMLCommon tbody tr:nth-child(even) {
+  background: var(--jp-rendermime-table-row-background);
+}
+
+.jp-RenderedHTMLCommon tbody tr:hover {
+  background: var(--jp-rendermime-table-row-hover-background);
+}
+
+.jp-RenderedHTMLCommon p {
+  text-align: left;
+  margin: 0;
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon img {
+  -moz-force-broken-image-icon: 1;
+}
+
+/* Restrict to direct children as other images could be nested in other content. */
+.jp-RenderedHTMLCommon > img {
+  display: block;
+  margin-left: 0;
+  margin-right: 0;
+  margin-bottom: 1em;
+}
+
+/* Change color behind transparent images if they need it... */
+[data-jp-theme-light='false'] .jp-RenderedImage img.jp-needs-light-background {
+  background-color: var(--jp-inverse-layout-color1);
+}
+
+[data-jp-theme-light='true'] .jp-RenderedImage img.jp-needs-dark-background {
+  background-color: var(--jp-inverse-layout-color1);
+}
+
+.jp-RenderedHTMLCommon img,
+.jp-RenderedImage img,
+.jp-RenderedHTMLCommon svg,
+.jp-RenderedSVG svg {
+  max-width: 100%;
+  height: auto;
+}
+
+.jp-RenderedHTMLCommon img.jp-mod-unconfined,
+.jp-RenderedImage img.jp-mod-unconfined,
+.jp-RenderedHTMLCommon svg.jp-mod-unconfined,
+.jp-RenderedSVG svg.jp-mod-unconfined {
+  max-width: none;
+}
+
+.jp-RenderedHTMLCommon .alert {
+  padding: var(--jp-notebook-padding);
+  border: var(--jp-border-width) solid transparent;
+  border-radius: var(--jp-border-radius);
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon .alert-info {
+  color: var(--jp-info-color0);
+  background-color: var(--jp-info-color3);
+  border-color: var(--jp-info-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-info hr {
+  border-color: var(--jp-info-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-info > p:last-child,
+.jp-RenderedHTMLCommon .alert-info > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon .alert-warning {
+  color: var(--jp-warn-color0);
+  background-color: var(--jp-warn-color3);
+  border-color: var(--jp-warn-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-warning hr {
+  border-color: var(--jp-warn-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-warning > p:last-child,
+.jp-RenderedHTMLCommon .alert-warning > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon .alert-success {
+  color: var(--jp-success-color0);
+  background-color: var(--jp-success-color3);
+  border-color: var(--jp-success-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-success hr {
+  border-color: var(--jp-success-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-success > p:last-child,
+.jp-RenderedHTMLCommon .alert-success > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon .alert-danger {
+  color: var(--jp-error-color0);
+  background-color: var(--jp-error-color3);
+  border-color: var(--jp-error-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-danger hr {
+  border-color: var(--jp-error-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-danger > p:last-child,
+.jp-RenderedHTMLCommon .alert-danger > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon blockquote {
+  margin: 1em 2em;
+  padding: 0 1em;
+  border-left: 5px solid var(--jp-border-color2);
+}
+
+a.jp-InternalAnchorLink {
+  visibility: hidden;
+  margin-left: 8px;
+  color: var(--md-blue-800);
+}
+
+h1:hover .jp-InternalAnchorLink,
+h2:hover .jp-InternalAnchorLink,
+h3:hover .jp-InternalAnchorLink,
+h4:hover .jp-InternalAnchorLink,
+h5:hover .jp-InternalAnchorLink,
+h6:hover .jp-InternalAnchorLink {
+  visibility: visible;
+}
+
+.jp-RenderedHTMLCommon kbd {
+  background-color: var(--jp-rendermime-table-row-background);
+  border: 1px solid var(--jp-border-color0);
+  border-bottom-color: var(--jp-border-color2);
+  border-radius: 3px;
+  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.25);
+  display: inline-block;
+  font-size: var(--jp-ui-font-size0);
+  line-height: 1em;
+  padding: 0.2em 0.5em;
+}
+
+/* Most direct children of .jp-RenderedHTMLCommon have a margin-bottom of 1.0.
+ * At the bottom of cells this is a bit too much as there is also spacing
+ * between cells. Going all the way to 0 gets too tight between markdown and
+ * code cells.
+ */
+.jp-RenderedHTMLCommon > *:last-child {
+  margin-bottom: 0.5em;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-cursor-backdrop {
+  position: fixed;
+  width: 200px;
+  height: 200px;
+  margin-top: -100px;
+  margin-left: -100px;
+  will-change: transform;
+  z-index: 100;
+}
+
+.lm-mod-drag-image {
+  will-change: transform;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-lineFormSearch {
+  padding: 4px 12px;
+  background-color: var(--jp-layout-color2);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  z-index: 2;
+  font-size: var(--jp-ui-font-size1);
+}
+
+.jp-lineFormCaption {
+  font-size: var(--jp-ui-font-size0);
+  line-height: var(--jp-ui-font-size1);
+  margin-top: 4px;
+  color: var(--jp-ui-font-color0);
+}
+
+.jp-baseLineForm {
+  border: none;
+  border-radius: 0;
+  position: absolute;
+  background-size: 16px;
+  background-repeat: no-repeat;
+  background-position: center;
+  outline: none;
+}
+
+.jp-lineFormButtonContainer {
+  top: 4px;
+  right: 8px;
+  height: 24px;
+  padding: 0 12px;
+  width: 12px;
+}
+
+.jp-lineFormButtonIcon {
+  top: 0;
+  right: 0;
+  background-color: var(--jp-brand-color1);
+  height: 100%;
+  width: 100%;
+  box-sizing: border-box;
+  padding: 4px 6px;
+}
+
+.jp-lineFormButton {
+  top: 0;
+  right: 0;
+  background-color: transparent;
+  height: 100%;
+  width: 100%;
+  box-sizing: border-box;
+}
+
+.jp-lineFormWrapper {
+  overflow: hidden;
+  padding: 0 8px;
+  border: 1px solid var(--jp-border-color0);
+  background-color: var(--jp-input-active-background);
+  height: 22px;
+}
+
+.jp-lineFormWrapperFocusWithin {
+  border: var(--jp-border-width) solid var(--md-blue-500);
+  box-shadow: inset 0 0 4px var(--md-blue-300);
+}
+
+.jp-lineFormInput {
+  background: transparent;
+  width: 200px;
+  height: 100%;
+  border: none;
+  outline: none;
+  color: var(--jp-ui-font-color0);
+  line-height: 28px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-JSONEditor {
+  display: flex;
+  flex-direction: column;
+  width: 100%;
+}
+
+.jp-JSONEditor-host {
+  flex: 1 1 auto;
+  border: var(--jp-border-width) solid var(--jp-input-border-color);
+  border-radius: 0;
+  background: var(--jp-layout-color0);
+  min-height: 50px;
+  padding: 1px;
+}
+
+.jp-JSONEditor.jp-mod-error .jp-JSONEditor-host {
+  border-color: red;
+  outline-color: red;
+}
+
+.jp-JSONEditor-header {
+  display: flex;
+  flex: 1 0 auto;
+  padding: 0 0 0 12px;
+}
+
+.jp-JSONEditor-header label {
+  flex: 0 0 auto;
+}
+
+.jp-JSONEditor-commitButton {
+  height: 16px;
+  width: 16px;
+  background-size: 18px;
+  background-repeat: no-repeat;
+  background-position: center;
+}
+
+.jp-JSONEditor-host.jp-mod-focused {
+  background-color: var(--jp-input-active-background);
+  border: 1px solid var(--jp-input-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+}
+
+.jp-Editor.jp-mod-dropTarget {
+  border: var(--jp-border-width) solid var(--jp-input-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+.jp-DocumentSearch-input {
+  border: none;
+  outline: none;
+  color: var(--jp-ui-font-color0);
+  font-size: var(--jp-ui-font-size1);
+  background-color: var(--jp-layout-color0);
+  font-family: var(--jp-ui-font-family);
+  padding: 2px 1px;
+  resize: none;
+}
+
+.jp-DocumentSearch-overlay {
+  position: absolute;
+  background-color: var(--jp-toolbar-background);
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  border-left: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  top: 0;
+  right: 0;
+  z-index: 7;
+  min-width: 405px;
+  padding: 2px;
+  font-size: var(--jp-ui-font-size1);
+
+  --jp-private-document-search-button-height: 20px;
+}
+
+.jp-DocumentSearch-overlay button {
+  background-color: var(--jp-toolbar-background);
+  outline: 0;
+}
+
+.jp-DocumentSearch-overlay button:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-overlay button:active {
+  background-color: var(--jp-layout-color3);
+}
+
+.jp-DocumentSearch-overlay-row {
+  display: flex;
+  align-items: center;
+  margin-bottom: 2px;
+}
+
+.jp-DocumentSearch-button-content {
+  display: inline-block;
+  cursor: pointer;
+  box-sizing: border-box;
+  width: 100%;
+  height: 100%;
+}
+
+.jp-DocumentSearch-button-content svg {
+  width: 100%;
+  height: 100%;
+}
+
+.jp-DocumentSearch-input-wrapper {
+  border: var(--jp-border-width) solid var(--jp-border-color0);
+  display: flex;
+  background-color: var(--jp-layout-color0);
+  margin: 2px;
+}
+
+.jp-DocumentSearch-input-wrapper:focus-within {
+  border-color: var(--jp-cell-editor-active-border-color);
+}
+
+.jp-DocumentSearch-toggle-wrapper,
+.jp-DocumentSearch-button-wrapper {
+  all: initial;
+  overflow: hidden;
+  display: inline-block;
+  border: none;
+  box-sizing: border-box;
+}
+
+.jp-DocumentSearch-toggle-wrapper {
+  width: 14px;
+  height: 14px;
+}
+
+.jp-DocumentSearch-button-wrapper {
+  width: var(--jp-private-document-search-button-height);
+  height: var(--jp-private-document-search-button-height);
+}
+
+.jp-DocumentSearch-toggle-wrapper:focus,
+.jp-DocumentSearch-button-wrapper:focus {
+  outline: var(--jp-border-width) solid
+    var(--jp-cell-editor-active-border-color);
+  outline-offset: -1px;
+}
+
+.jp-DocumentSearch-toggle-wrapper,
+.jp-DocumentSearch-button-wrapper,
+.jp-DocumentSearch-button-content:focus {
+  outline: none;
+}
+
+.jp-DocumentSearch-toggle-placeholder {
+  width: 5px;
+}
+
+.jp-DocumentSearch-input-button::before {
+  display: block;
+  padding-top: 100%;
+}
+
+.jp-DocumentSearch-input-button-off {
+  opacity: var(--jp-search-toggle-off-opacity);
+}
+
+.jp-DocumentSearch-input-button-off:hover {
+  opacity: var(--jp-search-toggle-hover-opacity);
+}
+
+.jp-DocumentSearch-input-button-on {
+  opacity: var(--jp-search-toggle-on-opacity);
+}
+
+.jp-DocumentSearch-index-counter {
+  padding-left: 10px;
+  padding-right: 10px;
+  user-select: none;
+  min-width: 35px;
+  display: inline-block;
+}
+
+.jp-DocumentSearch-up-down-wrapper {
+  display: inline-block;
+  padding-right: 2px;
+  margin-left: auto;
+  white-space: nowrap;
+}
+
+.jp-DocumentSearch-spacer {
+  margin-left: auto;
+}
+
+.jp-DocumentSearch-up-down-wrapper button {
+  outline: 0;
+  border: none;
+  width: var(--jp-private-document-search-button-height);
+  height: var(--jp-private-document-search-button-height);
+  vertical-align: middle;
+  margin: 1px 5px 2px;
+}
+
+.jp-DocumentSearch-up-down-button:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-up-down-button:active {
+  background-color: var(--jp-layout-color3);
+}
+
+.jp-DocumentSearch-filter-button {
+  border-radius: var(--jp-border-radius);
+}
+
+.jp-DocumentSearch-filter-button:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-filter-button-enabled {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-filter-button-enabled:hover {
+  background-color: var(--jp-layout-color3);
+}
+
+.jp-DocumentSearch-search-options {
+  padding: 0 8px;
+  margin-left: 3px;
+  width: 100%;
+  display: grid;
+  justify-content: start;
+  grid-template-columns: 1fr 1fr;
+  align-items: center;
+  justify-items: stretch;
+}
+
+.jp-DocumentSearch-search-filter-disabled {
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-DocumentSearch-search-filter {
+  display: flex;
+  align-items: center;
+  user-select: none;
+}
+
+.jp-DocumentSearch-regex-error {
+  color: var(--jp-error-color0);
+}
+
+.jp-DocumentSearch-replace-button-wrapper {
+  overflow: hidden;
+  display: inline-block;
+  box-sizing: border-box;
+  border: var(--jp-border-width) solid var(--jp-border-color0);
+  margin: auto 2px;
+  padding: 1px 4px;
+  height: calc(var(--jp-private-document-search-button-height) + 2px);
+}
+
+.jp-DocumentSearch-replace-button-wrapper:focus {
+  border: var(--jp-border-width) solid var(--jp-cell-editor-active-border-color);
+}
+
+.jp-DocumentSearch-replace-button {
+  display: inline-block;
+  text-align: center;
+  cursor: pointer;
+  box-sizing: border-box;
+  color: var(--jp-ui-font-color1);
+
+  /* height - 2 * (padding of wrapper) */
+  line-height: calc(var(--jp-private-document-search-button-height) - 2px);
+  width: 100%;
+  height: 100%;
+}
+
+.jp-DocumentSearch-replace-button:focus {
+  outline: none;
+}
+
+.jp-DocumentSearch-replace-wrapper-class {
+  margin-left: 14px;
+  display: flex;
+}
+
+.jp-DocumentSearch-replace-toggle {
+  border: none;
+  background-color: var(--jp-toolbar-background);
+  border-radius: var(--jp-border-radius);
+}
+
+.jp-DocumentSearch-replace-toggle:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.cm-editor {
+  line-height: var(--jp-code-line-height);
+  font-size: var(--jp-code-font-size);
+  font-family: var(--jp-code-font-family);
+  border: 0;
+  border-radius: 0;
+  height: auto;
+
+  /* Changed to auto to autogrow */
+}
+
+.cm-editor pre {
+  padding: 0 var(--jp-code-padding);
+}
+
+.jp-CodeMirrorEditor[data-type='inline'] .cm-dialog {
+  background-color: var(--jp-layout-color0);
+  color: var(--jp-content-font-color1);
+}
+
+.jp-CodeMirrorEditor {
+  cursor: text;
+}
+
+/* When zoomed out 67% and 33% on a screen of 1440 width x 900 height */
+@media screen and (min-width: 2138px) and (max-width: 4319px) {
+  .jp-CodeMirrorEditor[data-type='inline'] .cm-cursor {
+    border-left: var(--jp-code-cursor-width1) solid
+      var(--jp-editor-cursor-color);
+  }
+}
+
+/* When zoomed out less than 33% */
+@media screen and (min-width: 4320px) {
+  .jp-CodeMirrorEditor[data-type='inline'] .cm-cursor {
+    border-left: var(--jp-code-cursor-width2) solid
+      var(--jp-editor-cursor-color);
+  }
+}
+
+.cm-editor.jp-mod-readOnly .cm-cursor {
+  display: none;
+}
+
+.jp-CollaboratorCursor {
+  border-left: 5px solid transparent;
+  border-right: 5px solid transparent;
+  border-top: none;
+  border-bottom: 3px solid;
+  background-clip: content-box;
+  margin-left: -5px;
+  margin-right: -5px;
+}
+
+.cm-searching,
+.cm-searching span {
+  /* `.cm-searching span`: we need to override syntax highlighting */
+  background-color: var(--jp-search-unselected-match-background-color);
+  color: var(--jp-search-unselected-match-color);
+}
+
+.cm-searching::selection,
+.cm-searching span::selection {
+  background-color: var(--jp-search-unselected-match-background-color);
+  color: var(--jp-search-unselected-match-color);
+}
+
+.jp-current-match > .cm-searching,
+.jp-current-match > .cm-searching span,
+.cm-searching > .jp-current-match,
+.cm-searching > .jp-current-match span {
+  background-color: var(--jp-search-selected-match-background-color);
+  color: var(--jp-search-selected-match-color);
+}
+
+.jp-current-match > .cm-searching::selection,
+.cm-searching > .jp-current-match::selection,
+.jp-current-match > .cm-searching span::selection {
+  background-color: var(--jp-search-selected-match-background-color);
+  color: var(--jp-search-selected-match-color);
+}
+
+.cm-trailingspace {
+  background-image: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAgAAAAFCAYAAAB4ka1VAAAAsElEQVQIHQGlAFr/AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA7+r3zKmT0/+pk9P/7+r3zAAAAAAAAAAABAAAAAAAAAAA6OPzM+/q9wAAAAAA6OPzMwAAAAAAAAAAAgAAAAAAAAAAGR8NiRQaCgAZIA0AGR8NiQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQyoYJ/SY80UAAAAASUVORK5CYII=);
+  background-position: center left;
+  background-repeat: repeat-x;
+}
+
+.jp-CollaboratorCursor-hover {
+  position: absolute;
+  z-index: 1;
+  transform: translateX(-50%);
+  color: white;
+  border-radius: 3px;
+  padding-left: 4px;
+  padding-right: 4px;
+  padding-top: 1px;
+  padding-bottom: 1px;
+  text-align: center;
+  font-size: var(--jp-ui-font-size1);
+  white-space: nowrap;
+}
+
+.jp-CodeMirror-ruler {
+  border-left: 1px dashed var(--jp-border-color2);
+}
+
+/* Styles for shared cursors (remote cursor locations and selected ranges) */
+.jp-CodeMirrorEditor .cm-ySelectionCaret {
+  position: relative;
+  border-left: 1px solid black;
+  margin-left: -1px;
+  margin-right: -1px;
+  box-sizing: border-box;
+}
+
+.jp-CodeMirrorEditor .cm-ySelectionCaret > .cm-ySelectionInfo {
+  white-space: nowrap;
+  position: absolute;
+  top: -1.15em;
+  padding-bottom: 0.05em;
+  left: -1px;
+  font-size: 0.95em;
+  font-family: var(--jp-ui-font-family);
+  font-weight: bold;
+  line-height: normal;
+  user-select: none;
+  color: white;
+  padding-left: 2px;
+  padding-right: 2px;
+  z-index: 101;
+  transition: opacity 0.3s ease-in-out;
+}
+
+.jp-CodeMirrorEditor .cm-ySelectionInfo {
+  transition-delay: 0.7s;
+  opacity: 0;
+}
+
+.jp-CodeMirrorEditor .cm-ySelectionCaret:hover > .cm-ySelectionInfo {
+  opacity: 1;
+  transition-delay: 0s;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-MimeDocument {
+  outline: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-filebrowser-button-height: 28px;
+  --jp-private-filebrowser-button-width: 48px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-FileBrowser .jp-SidePanel-content {
+  display: flex;
+  flex-direction: column;
+}
+
+.jp-FileBrowser-toolbar.jp-Toolbar {
+  flex-wrap: wrap;
+  row-gap: 12px;
+  border-bottom: none;
+  height: auto;
+  margin: 8px 12px 0;
+  box-shadow: none;
+  padding: 0;
+  justify-content: flex-start;
+}
+
+.jp-FileBrowser-Panel {
+  flex: 1 1 auto;
+  display: flex;
+  flex-direction: column;
+}
+
+.jp-BreadCrumbs {
+  flex: 0 0 auto;
+  margin: 8px 12px;
+}
+
+.jp-BreadCrumbs-item {
+  margin: 0 2px;
+  padding: 0 2px;
+  border-radius: var(--jp-border-radius);
+  cursor: pointer;
+}
+
+.jp-BreadCrumbs-item:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-BreadCrumbs-item:first-child {
+  margin-left: 0;
+}
+
+.jp-BreadCrumbs-item.jp-mod-dropTarget {
+  background-color: var(--jp-brand-color2);
+  opacity: 0.7;
+}
+
+/*-----------------------------------------------------------------------------
+| Buttons
+|----------------------------------------------------------------------------*/
+
+.jp-FileBrowser-toolbar > .jp-Toolbar-item {
+  flex: 0 0 auto;
+  padding-left: 0;
+  padding-right: 2px;
+  align-items: center;
+  height: unset;
+}
+
+.jp-FileBrowser-toolbar > .jp-Toolbar-item .jp-ToolbarButtonComponent {
+  width: 40px;
+}
+
+/*-----------------------------------------------------------------------------
+| Other styles
+|----------------------------------------------------------------------------*/
+
+.jp-FileDialog.jp-mod-conflict input {
+  color: var(--jp-error-color1);
+}
+
+.jp-FileDialog .jp-new-name-title {
+  margin-top: 12px;
+}
+
+.jp-LastModified-hidden {
+  display: none;
+}
+
+.jp-FileSize-hidden {
+  display: none;
+}
+
+.jp-FileBrowser .lm-AccordionPanel > h3:first-child {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| DirListing
+|----------------------------------------------------------------------------*/
+
+.jp-DirListing {
+  flex: 1 1 auto;
+  display: flex;
+  flex-direction: column;
+  outline: 0;
+}
+
+.jp-DirListing-header {
+  flex: 0 0 auto;
+  display: flex;
+  flex-direction: row;
+  align-items: center;
+  overflow: hidden;
+  border-top: var(--jp-border-width) solid var(--jp-border-color2);
+  border-bottom: var(--jp-border-width) solid var(--jp-border-color1);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  z-index: 2;
+}
+
+.jp-DirListing-headerItem {
+  padding: 4px 12px 2px;
+  font-weight: 500;
+}
+
+.jp-DirListing-headerItem:hover {
+  background: var(--jp-layout-color2);
+}
+
+.jp-DirListing-headerItem.jp-id-name {
+  flex: 1 0 84px;
+}
+
+.jp-DirListing-headerItem.jp-id-modified {
+  flex: 0 0 112px;
+  border-left: var(--jp-border-width) solid var(--jp-border-color2);
+  text-align: right;
+}
+
+.jp-DirListing-headerItem.jp-id-filesize {
+  flex: 0 0 75px;
+  border-left: var(--jp-border-width) solid var(--jp-border-color2);
+  text-align: right;
+}
+
+.jp-id-narrow {
+  display: none;
+  flex: 0 0 5px;
+  padding: 4px;
+  border-left: var(--jp-border-width) solid var(--jp-border-color2);
+  text-align: right;
+  color: var(--jp-border-color2);
+}
+
+.jp-DirListing-narrow .jp-id-narrow {
+  display: block;
+}
+
+.jp-DirListing-narrow .jp-id-modified,
+.jp-DirListing-narrow .jp-DirListing-itemModified {
+  display: none;
+}
+
+.jp-DirListing-headerItem.jp-mod-selected {
+  font-weight: 600;
+}
+
+/* increase specificity to override bundled default */
+.jp-DirListing-content {
+  flex: 1 1 auto;
+  margin: 0;
+  padding: 0;
+  list-style-type: none;
+  overflow: auto;
+  background-color: var(--jp-layout-color1);
+}
+
+.jp-DirListing-content mark {
+  color: var(--jp-ui-font-color0);
+  background-color: transparent;
+  font-weight: bold;
+}
+
+.jp-DirListing-content .jp-DirListing-item.jp-mod-selected mark {
+  color: var(--jp-ui-inverse-font-color0);
+}
+
+/* Style the directory listing content when a user drops a file to upload */
+.jp-DirListing.jp-mod-native-drop .jp-DirListing-content {
+  outline: 5px dashed rgba(128, 128, 128, 0.5);
+  outline-offset: -10px;
+  cursor: copy;
+}
+
+.jp-DirListing-item {
+  display: flex;
+  flex-direction: row;
+  align-items: center;
+  padding: 4px 12px;
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.jp-DirListing-checkboxWrapper {
+  /* Increases hit area of checkbox. */
+  padding: 4px;
+}
+
+.jp-DirListing-header
+  .jp-DirListing-checkboxWrapper
+  + .jp-DirListing-headerItem {
+  padding-left: 4px;
+}
+
+.jp-DirListing-content .jp-DirListing-checkboxWrapper {
+  position: relative;
+  left: -4px;
+  margin: -4px 0 -4px -8px;
+}
+
+.jp-DirListing-checkboxWrapper.jp-mod-visible {
+  visibility: visible;
+}
+
+/* For devices that support hovering, hide checkboxes until hovered, selected...
+*/
+@media (hover: hover) {
+  .jp-DirListing-checkboxWrapper {
+    visibility: hidden;
+  }
+
+  .jp-DirListing-item:hover .jp-DirListing-checkboxWrapper,
+  .jp-DirListing-item.jp-mod-selected .jp-DirListing-checkboxWrapper {
+    visibility: visible;
+  }
+}
+
+.jp-DirListing-item[data-is-dot] {
+  opacity: 75%;
+}
+
+.jp-DirListing-item.jp-mod-selected {
+  color: var(--jp-ui-inverse-font-color1);
+  background: var(--jp-brand-color1);
+}
+
+.jp-DirListing-item.jp-mod-dropTarget {
+  background: var(--jp-brand-color3);
+}
+
+.jp-DirListing-item:hover:not(.jp-mod-selected) {
+  background: var(--jp-layout-color2);
+}
+
+.jp-DirListing-itemIcon {
+  flex: 0 0 20px;
+  margin-right: 4px;
+}
+
+.jp-DirListing-itemText {
+  flex: 1 0 64px;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+  user-select: none;
+}
+
+.jp-DirListing-itemText:focus {
+  outline-width: 2px;
+  outline-color: var(--jp-inverse-layout-color1);
+  outline-style: solid;
+  outline-offset: 1px;
+}
+
+.jp-DirListing-item.jp-mod-selected .jp-DirListing-itemText:focus {
+  outline-color: var(--jp-layout-color1);
+}
+
+.jp-DirListing-itemModified {
+  flex: 0 0 125px;
+  text-align: right;
+}
+
+.jp-DirListing-itemFileSize {
+  flex: 0 0 90px;
+  text-align: right;
+}
+
+.jp-DirListing-editor {
+  flex: 1 0 64px;
+  outline: none;
+  border: none;
+  color: var(--jp-ui-font-color1);
+  background-color: var(--jp-layout-color1);
+}
+
+.jp-DirListing-item.jp-mod-running .jp-DirListing-itemIcon::before {
+  color: var(--jp-success-color1);
+  content: '\25CF';
+  font-size: 8px;
+  position: absolute;
+  left: -8px;
+}
+
+.jp-DirListing-item.jp-mod-running.jp-mod-selected
+  .jp-DirListing-itemIcon::before {
+  color: var(--jp-ui-inverse-font-color1);
+}
+
+.jp-DirListing-item.lm-mod-drag-image,
+.jp-DirListing-item.jp-mod-selected.lm-mod-drag-image {
+  font-size: var(--jp-ui-font-size1);
+  padding-left: 4px;
+  margin-left: 4px;
+  width: 160px;
+  background-color: var(--jp-ui-inverse-font-color2);
+  box-shadow: var(--jp-elevation-z2);
+  border-radius: 0;
+  color: var(--jp-ui-font-color1);
+  transform: translateX(-40%) translateY(-58%);
+}
+
+.jp-Document {
+  min-width: 120px;
+  min-height: 120px;
+  outline: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Main OutputArea
+| OutputArea has a list of Outputs
+|----------------------------------------------------------------------------*/
+
+.jp-OutputArea {
+  overflow-y: auto;
+}
+
+.jp-OutputArea-child {
+  display: table;
+  table-layout: fixed;
+  width: 100%;
+  overflow: hidden;
+}
+
+.jp-OutputPrompt {
+  width: var(--jp-cell-prompt-width);
+  color: var(--jp-cell-outprompt-font-color);
+  font-family: var(--jp-cell-prompt-font-family);
+  padding: var(--jp-code-padding);
+  letter-spacing: var(--jp-cell-prompt-letter-spacing);
+  line-height: var(--jp-code-line-height);
+  font-size: var(--jp-code-font-size);
+  border: var(--jp-border-width) solid transparent;
+  opacity: var(--jp-cell-prompt-opacity);
+
+  /* Right align prompt text, don't wrap to handle large prompt numbers */
+  text-align: right;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+
+  /* Disable text selection */
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.jp-OutputArea-prompt {
+  display: table-cell;
+  vertical-align: top;
+}
+
+.jp-OutputArea-output {
+  display: table-cell;
+  width: 100%;
+  height: auto;
+  overflow: auto;
+  user-select: text;
+  -moz-user-select: text;
+  -webkit-user-select: text;
+  -ms-user-select: text;
+}
+
+.jp-OutputArea .jp-RenderedText {
+  padding-left: 1ch;
+}
+
+/**
+ * Prompt overlay.
+ */
+
+.jp-OutputArea-promptOverlay {
+  position: absolute;
+  top: 0;
+  width: var(--jp-cell-prompt-width);
+  height: 100%;
+  opacity: 0.5;
+}
+
+.jp-OutputArea-promptOverlay:hover {
+  background: var(--jp-layout-color2);
+  box-shadow: inset 0 0 1px var(--jp-inverse-layout-color0);
+  cursor: zoom-out;
+}
+
+.jp-mod-outputsScrolled .jp-OutputArea-promptOverlay:hover {
+  cursor: zoom-in;
+}
+
+/**
+ * Isolated output.
+ */
+.jp-OutputArea-output.jp-mod-isolated {
+  width: 100%;
+  display: block;
+}
+
+/*
+When drag events occur, `lm-mod-override-cursor` is added to the body.
+Because iframes steal all cursor events, the following two rules are necessary
+to suppress pointer events while resize drags are occurring. There may be a
+better solution to this problem.
+*/
+body.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated {
+  position: relative;
+}
+
+body.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated::before {
+  content: '';
+  position: absolute;
+  top: 0;
+  left: 0;
+  right: 0;
+  bottom: 0;
+  background: transparent;
+}
+
+/* pre */
+
+.jp-OutputArea-output pre {
+  border: none;
+  margin: 0;
+  padding: 0;
+  overflow-x: auto;
+  overflow-y: auto;
+  word-break: break-all;
+  word-wrap: break-word;
+  white-space: pre-wrap;
+}
+
+/* tables */
+
+.jp-OutputArea-output.jp-RenderedHTMLCommon table {
+  margin-left: 0;
+  margin-right: 0;
+}
+
+/* description lists */
+
+.jp-OutputArea-output dl,
+.jp-OutputArea-output dt,
+.jp-OutputArea-output dd {
+  display: block;
+}
+
+.jp-OutputArea-output dl {
+  width: 100%;
+  overflow: hidden;
+  padding: 0;
+  margin: 0;
+}
+
+.jp-OutputArea-output dt {
+  font-weight: bold;
+  float: left;
+  width: 20%;
+  padding: 0;
+  margin: 0;
+}
+
+.jp-OutputArea-output dd {
+  float: left;
+  width: 80%;
+  padding: 0;
+  margin: 0;
+}
+
+.jp-TrimmedOutputs pre {
+  background: var(--jp-layout-color3);
+  font-size: calc(var(--jp-code-font-size) * 1.4);
+  text-align: center;
+  text-transform: uppercase;
+}
+
+/* Hide the gutter in case of
+ *  - nested output areas (e.g. in the case of output widgets)
+ *  - mirrored output areas
+ */
+.jp-OutputArea .jp-OutputArea .jp-OutputArea-prompt {
+  display: none;
+}
+
+/* Hide empty lines in the output area, for instance due to cleared widgets */
+.jp-OutputArea-prompt:empty {
+  padding: 0;
+  border: 0;
+}
+
+/*-----------------------------------------------------------------------------
+| executeResult is added to any Output-result for the display of the object
+| returned by a cell
+|----------------------------------------------------------------------------*/
+
+.jp-OutputArea-output.jp-OutputArea-executeResult {
+  margin-left: 0;
+  width: 100%;
+}
+
+/* Text output with the Out[] prompt needs a top padding to match the
+ * alignment of the Out[] prompt itself.
+ */
+.jp-OutputArea-executeResult .jp-RenderedText.jp-OutputArea-output {
+  padding-top: var(--jp-code-padding);
+  border-top: var(--jp-border-width) solid transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| The Stdin output
+|----------------------------------------------------------------------------*/
+
+.jp-Stdin-prompt {
+  color: var(--jp-content-font-color0);
+  padding-right: var(--jp-code-padding);
+  vertical-align: baseline;
+  flex: 0 0 auto;
+}
+
+.jp-Stdin-input {
+  font-family: var(--jp-code-font-family);
+  font-size: inherit;
+  color: inherit;
+  background-color: inherit;
+  width: 42%;
+  min-width: 200px;
+
+  /* make sure input baseline aligns with prompt */
+  vertical-align: baseline;
+
+  /* padding + margin = 0.5em between prompt and cursor */
+  padding: 0 0.25em;
+  margin: 0 0.25em;
+  flex: 0 0 70%;
+}
+
+.jp-Stdin-input::placeholder {
+  opacity: 0;
+}
+
+.jp-Stdin-input:focus {
+  box-shadow: none;
+}
+
+.jp-Stdin-input:focus::placeholder {
+  opacity: 1;
+}
+
+/*-----------------------------------------------------------------------------
+| Output Area View
+|----------------------------------------------------------------------------*/
+
+.jp-LinkedOutputView .jp-OutputArea {
+  height: 100%;
+  display: block;
+}
+
+.jp-LinkedOutputView .jp-OutputArea-output:only-child {
+  height: 100%;
+}
+
+/*-----------------------------------------------------------------------------
+| Printing
+|----------------------------------------------------------------------------*/
+
+@media print {
+  .jp-OutputArea-child {
+    break-inside: avoid-page;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Mobile
+|----------------------------------------------------------------------------*/
+@media only screen and (max-width: 760px) {
+  .jp-OutputPrompt {
+    display: table-row;
+    text-align: left;
+  }
+
+  .jp-OutputArea-child .jp-OutputArea-output {
+    display: table-row;
+    margin-left: var(--jp-notebook-padding);
+  }
+}
+
+/* Trimmed outputs warning */
+.jp-TrimmedOutputs > a {
+  margin: 10px;
+  text-decoration: none;
+  cursor: pointer;
+}
+
+.jp-TrimmedOutputs > a:hover {
+  text-decoration: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Table of Contents
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-toc-active-width: 4px;
+}
+
+.jp-TableOfContents {
+  display: flex;
+  flex-direction: column;
+  background: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  height: 100%;
+}
+
+.jp-TableOfContents-placeholder {
+  text-align: center;
+}
+
+.jp-TableOfContents-placeholderContent {
+  color: var(--jp-content-font-color2);
+  padding: 8px;
+}
+
+.jp-TableOfContents-placeholderContent > h3 {
+  margin-bottom: var(--jp-content-heading-margin-bottom);
+}
+
+.jp-TableOfContents .jp-SidePanel-content {
+  overflow-y: auto;
+}
+
+.jp-TableOfContents-tree {
+  margin: 4px;
+}
+
+.jp-TableOfContents ol {
+  list-style-type: none;
+}
+
+/* stylelint-disable-next-line selector-max-type */
+.jp-TableOfContents li > ol {
+  /* Align left border with triangle icon center */
+  padding-left: 11px;
+}
+
+.jp-TableOfContents-content {
+  /* left margin for the active heading indicator */
+  margin: 0 0 0 var(--jp-private-toc-active-width);
+  padding: 0;
+  background-color: var(--jp-layout-color1);
+}
+
+.jp-tocItem {
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.jp-tocItem-heading {
+  display: flex;
+  cursor: pointer;
+}
+
+.jp-tocItem-heading:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-tocItem-content {
+  display: block;
+  padding: 4px 0;
+  white-space: nowrap;
+  text-overflow: ellipsis;
+  overflow-x: hidden;
+}
+
+.jp-tocItem-collapser {
+  height: 20px;
+  margin: 2px 2px 0;
+  padding: 0;
+  background: none;
+  border: none;
+  cursor: pointer;
+}
+
+.jp-tocItem-collapser:hover {
+  background-color: var(--jp-layout-color3);
+}
+
+/* Active heading indicator */
+
+.jp-tocItem-heading::before {
+  content: ' ';
+  background: transparent;
+  width: var(--jp-private-toc-active-width);
+  height: 24px;
+  position: absolute;
+  left: 0;
+  border-radius: var(--jp-border-radius);
+}
+
+.jp-tocItem-heading.jp-tocItem-active::before {
+  background-color: var(--jp-brand-color1);
+}
+
+.jp-tocItem-heading:hover.jp-tocItem-active::before {
+  background: var(--jp-brand-color0);
+  opacity: 1;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Collapser {
+  flex: 0 0 var(--jp-cell-collapser-width);
+  padding: 0;
+  margin: 0;
+  border: none;
+  outline: none;
+  background: transparent;
+  border-radius: var(--jp-border-radius);
+  opacity: 1;
+}
+
+.jp-Collapser-child {
+  display: block;
+  width: 100%;
+  box-sizing: border-box;
+
+  /* height: 100% doesn't work because the height of its parent is computed from content */
+  position: absolute;
+  top: 0;
+  bottom: 0;
+}
+
+/*-----------------------------------------------------------------------------
+| Printing
+|----------------------------------------------------------------------------*/
+
+/*
+Hiding collapsers in print mode.
+
+Note: input and output wrappers have "display: block" propery in print mode.
+*/
+
+@media print {
+  .jp-Collapser {
+    display: none;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Header/Footer
+|----------------------------------------------------------------------------*/
+
+/* Hidden by zero height by default */
+.jp-CellHeader,
+.jp-CellFooter {
+  height: 0;
+  width: 100%;
+  padding: 0;
+  margin: 0;
+  border: none;
+  outline: none;
+  background: transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Input
+|----------------------------------------------------------------------------*/
+
+/* All input areas */
+.jp-InputArea {
+  display: table;
+  table-layout: fixed;
+  width: 100%;
+  overflow: hidden;
+}
+
+.jp-InputArea-editor {
+  display: table-cell;
+  overflow: hidden;
+  vertical-align: top;
+
+  /* This is the non-active, default styling */
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  border-radius: 0;
+  background: var(--jp-cell-editor-background);
+}
+
+.jp-InputPrompt {
+  display: table-cell;
+  vertical-align: top;
+  width: var(--jp-cell-prompt-width);
+  color: var(--jp-cell-inprompt-font-color);
+  font-family: var(--jp-cell-prompt-font-family);
+  padding: var(--jp-code-padding);
+  letter-spacing: var(--jp-cell-prompt-letter-spacing);
+  opacity: var(--jp-cell-prompt-opacity);
+  line-height: var(--jp-code-line-height);
+  font-size: var(--jp-code-font-size);
+  border: var(--jp-border-width) solid transparent;
+
+  /* Right align prompt text, don't wrap to handle large prompt numbers */
+  text-align: right;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+
+  /* Disable text selection */
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Mobile
+|----------------------------------------------------------------------------*/
+@media only screen and (max-width: 760px) {
+  .jp-InputArea-editor {
+    display: table-row;
+    margin-left: var(--jp-notebook-padding);
+  }
+
+  .jp-InputPrompt {
+    display: table-row;
+    text-align: left;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Placeholder
+|----------------------------------------------------------------------------*/
+
+.jp-Placeholder {
+  display: table;
+  table-layout: fixed;
+  width: 100%;
+}
+
+.jp-Placeholder-prompt {
+  display: table-cell;
+  box-sizing: border-box;
+}
+
+.jp-Placeholder-content {
+  display: table-cell;
+  padding: 4px 6px;
+  border: 1px solid transparent;
+  border-radius: 0;
+  background: none;
+  box-sizing: border-box;
+  cursor: pointer;
+}
+
+.jp-Placeholder-contentContainer {
+  display: flex;
+}
+
+.jp-Placeholder-content:hover,
+.jp-InputPlaceholder > .jp-Placeholder-content:hover {
+  border-color: var(--jp-layout-color3);
+}
+
+.jp-Placeholder-content .jp-MoreHorizIcon {
+  width: 32px;
+  height: 16px;
+  border: 1px solid transparent;
+  border-radius: var(--jp-border-radius);
+}
+
+.jp-Placeholder-content .jp-MoreHorizIcon:hover {
+  border: 1px solid var(--jp-border-color1);
+  box-shadow: 0 0 2px 0 rgba(0, 0, 0, 0.25);
+  background-color: var(--jp-layout-color0);
+}
+
+.jp-PlaceholderText {
+  white-space: nowrap;
+  overflow-x: hidden;
+  color: var(--jp-inverse-layout-color3);
+  font-family: var(--jp-code-font-family);
+}
+
+.jp-InputPlaceholder > .jp-Placeholder-content {
+  border-color: var(--jp-cell-editor-border-color);
+  background: var(--jp-cell-editor-background);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Private CSS variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-cell-scrolling-output-offset: 5px;
+}
+
+/*-----------------------------------------------------------------------------
+| Cell
+|----------------------------------------------------------------------------*/
+
+.jp-Cell {
+  padding: var(--jp-cell-padding);
+  margin: 0;
+  border: none;
+  outline: none;
+  background: transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| Common input/output
+|----------------------------------------------------------------------------*/
+
+.jp-Cell-inputWrapper,
+.jp-Cell-outputWrapper {
+  display: flex;
+  flex-direction: row;
+  padding: 0;
+  margin: 0;
+
+  /* Added to reveal the box-shadow on the input and output collapsers. */
+  overflow: visible;
+}
+
+/* Only input/output areas inside cells */
+.jp-Cell-inputArea,
+.jp-Cell-outputArea {
+  flex: 1 1 auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Collapser
+|----------------------------------------------------------------------------*/
+
+/* Make the output collapser disappear when there is not output, but do so
+ * in a manner that leaves it in the layout and preserves its width.
+ */
+.jp-Cell.jp-mod-noOutputs .jp-Cell-outputCollapser {
+  border: none !important;
+  background: transparent !important;
+}
+
+.jp-Cell:not(.jp-mod-noOutputs) .jp-Cell-outputCollapser {
+  min-height: var(--jp-cell-collapser-min-height);
+}
+
+/*-----------------------------------------------------------------------------
+| Output
+|----------------------------------------------------------------------------*/
+
+/* Put a space between input and output when there IS output */
+.jp-Cell:not(.jp-mod-noOutputs) .jp-Cell-outputWrapper {
+  margin-top: 5px;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea {
+  overflow-y: auto;
+  max-height: 24em;
+  margin-left: var(--jp-private-cell-scrolling-output-offset);
+  resize: vertical;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea[style*='height'] {
+  max-height: unset;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea::after {
+  content: ' ';
+  box-shadow: inset 0 0 6px 2px rgb(0 0 0 / 30%);
+  width: 100%;
+  height: 100%;
+  position: sticky;
+  bottom: 0;
+  top: 0;
+  margin-top: -50%;
+  float: left;
+  display: block;
+  pointer-events: none;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-child {
+  padding-top: 6px;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-prompt {
+  width: calc(
+    var(--jp-cell-prompt-width) - var(--jp-private-cell-scrolling-output-offset)
+  );
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-promptOverlay {
+  left: calc(-1 * var(--jp-private-cell-scrolling-output-offset));
+}
+
+/*-----------------------------------------------------------------------------
+| CodeCell
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| MarkdownCell
+|----------------------------------------------------------------------------*/
+
+.jp-MarkdownOutput {
+  display: table-cell;
+  width: 100%;
+  margin-top: 0;
+  margin-bottom: 0;
+  padding-left: var(--jp-code-padding);
+}
+
+.jp-MarkdownOutput.jp-RenderedHTMLCommon {
+  overflow: auto;
+}
+
+/* collapseHeadingButton (show always if hiddenCellsButton is _not_ shown) */
+.jp-collapseHeadingButton {
+  display: flex;
+  min-height: var(--jp-cell-collapser-min-height);
+  font-size: var(--jp-code-font-size);
+  position: absolute;
+  background-color: transparent;
+  background-size: 25px;
+  background-repeat: no-repeat;
+  background-position-x: center;
+  background-position-y: top;
+  background-image: var(--jp-icon-caret-down);
+  right: 0;
+  top: 0;
+  bottom: 0;
+}
+
+.jp-collapseHeadingButton.jp-mod-collapsed {
+  background-image: var(--jp-icon-caret-right);
+}
+
+/*
+ set the container font size to match that of content
+ so that the nested collapse buttons have the right size
+*/
+.jp-MarkdownCell .jp-InputPrompt {
+  font-size: var(--jp-content-font-size1);
+}
+
+/*
+  Align collapseHeadingButton with cell top header
+  The font sizes are identical to the ones in packages/rendermime/style/base.css
+*/
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='1'] {
+  font-size: var(--jp-content-font-size5);
+  background-position-y: calc(0.3 * var(--jp-content-font-size5));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='2'] {
+  font-size: var(--jp-content-font-size4);
+  background-position-y: calc(0.3 * var(--jp-content-font-size4));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='3'] {
+  font-size: var(--jp-content-font-size3);
+  background-position-y: calc(0.3 * var(--jp-content-font-size3));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='4'] {
+  font-size: var(--jp-content-font-size2);
+  background-position-y: calc(0.3 * var(--jp-content-font-size2));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='5'] {
+  font-size: var(--jp-content-font-size1);
+  background-position-y: top;
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='6'] {
+  font-size: var(--jp-content-font-size0);
+  background-position-y: top;
+}
+
+/* collapseHeadingButton (show only on (hover,active) if hiddenCellsButton is shown) */
+.jp-Notebook.jp-mod-showHiddenCellsButton .jp-collapseHeadingButton {
+  display: none;
+}
+
+.jp-Notebook.jp-mod-showHiddenCellsButton
+  :is(.jp-MarkdownCell:hover, .jp-mod-active)
+  .jp-collapseHeadingButton {
+  display: flex;
+}
+
+/* showHiddenCellsButton (only show if jp-mod-showHiddenCellsButton is set, which
+is a consequence of the showHiddenCellsButton option in Notebook Settings)*/
+.jp-Notebook.jp-mod-showHiddenCellsButton .jp-showHiddenCellsButton {
+  margin-left: calc(var(--jp-cell-prompt-width) + 2 * var(--jp-code-padding));
+  margin-top: var(--jp-code-padding);
+  border: 1px solid var(--jp-border-color2);
+  background-color: var(--jp-border-color3) !important;
+  color: var(--jp-content-font-color0) !important;
+  display: flex;
+}
+
+.jp-Notebook.jp-mod-showHiddenCellsButton .jp-showHiddenCellsButton:hover {
+  background-color: var(--jp-border-color2) !important;
+}
+
+.jp-showHiddenCellsButton {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Printing
+|----------------------------------------------------------------------------*/
+
+/*
+Using block instead of flex to allow the use of the break-inside CSS property for
+cell outputs.
+*/
+
+@media print {
+  .jp-Cell-inputWrapper,
+  .jp-Cell-outputWrapper {
+    display: block;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-notebook-toolbar-padding: 2px 5px 2px 2px;
+}
+
+/*-----------------------------------------------------------------------------
+
+/*-----------------------------------------------------------------------------
+| Styles
+|----------------------------------------------------------------------------*/
+
+.jp-NotebookPanel-toolbar {
+  padding: var(--jp-notebook-toolbar-padding);
+
+  /* disable paint containment from lumino 2.0 default strict CSS containment */
+  contain: style size !important;
+}
+
+.jp-Toolbar-item.jp-Notebook-toolbarCellType .jp-select-wrapper.jp-mod-focused {
+  border: none;
+  box-shadow: none;
+}
+
+.jp-Notebook-toolbarCellTypeDropdown select {
+  height: 24px;
+  font-size: var(--jp-ui-font-size1);
+  line-height: 14px;
+  border-radius: 0;
+  display: block;
+}
+
+.jp-Notebook-toolbarCellTypeDropdown span {
+  top: 5px !important;
+}
+
+.jp-Toolbar-responsive-popup {
+  position: absolute;
+  height: fit-content;
+  display: flex;
+  flex-direction: row;
+  flex-wrap: wrap;
+  justify-content: flex-end;
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  background: var(--jp-toolbar-background);
+  min-height: var(--jp-toolbar-micro-height);
+  padding: var(--jp-notebook-toolbar-padding);
+  z-index: 1;
+  right: 0;
+  top: 0;
+}
+
+.jp-Toolbar > .jp-Toolbar-responsive-opener {
+  margin-left: auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+
+/*-----------------------------------------------------------------------------
+| Styles
+|----------------------------------------------------------------------------*/
+
+.jp-Notebook-ExecutionIndicator {
+  position: relative;
+  display: inline-block;
+  height: 100%;
+  z-index: 9997;
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip {
+  visibility: hidden;
+  height: auto;
+  width: max-content;
+  width: -moz-max-content;
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color1);
+  text-align: justify;
+  border-radius: 6px;
+  padding: 0 5px;
+  position: fixed;
+  display: table;
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip.up {
+  transform: translateX(-50%) translateY(-100%) translateY(-32px);
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip.down {
+  transform: translateX(calc(-100% + 16px)) translateY(5px);
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip.hidden {
+  display: none;
+}
+
+.jp-Notebook-ExecutionIndicator:hover .jp-Notebook-ExecutionIndicator-tooltip {
+  visibility: visible;
+}
+
+.jp-Notebook-ExecutionIndicator span {
+  font-size: var(--jp-ui-font-size1);
+  font-family: var(--jp-ui-font-family);
+  color: var(--jp-ui-font-color1);
+  line-height: 24px;
+  display: block;
+}
+
+.jp-Notebook-ExecutionIndicator-progress-bar {
+  display: flex;
+  justify-content: center;
+  height: 100%;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*
+ * Execution indicator
+ */
+.jp-tocItem-content::after {
+  content: '';
+
+  /* Must be identical to form a circle */
+  width: 12px;
+  height: 12px;
+  background: none;
+  border: none;
+  position: absolute;
+  right: 0;
+}
+
+.jp-tocItem-content[data-running='0']::after {
+  border-radius: 50%;
+  border: var(--jp-border-width) solid var(--jp-inverse-layout-color3);
+  background: none;
+}
+
+.jp-tocItem-content[data-running='1']::after {
+  border-radius: 50%;
+  border: var(--jp-border-width) solid var(--jp-inverse-layout-color3);
+  background-color: var(--jp-inverse-layout-color3);
+}
+
+.jp-tocItem-content[data-running='0'],
+.jp-tocItem-content[data-running='1'] {
+  margin-right: 12px;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-Notebook-footer {
+  height: 27px;
+  margin-left: calc(
+    var(--jp-cell-prompt-width) + var(--jp-cell-collapser-width) +
+      var(--jp-cell-padding)
+  );
+  width: calc(
+    100% -
+      (
+        var(--jp-cell-prompt-width) + var(--jp-cell-collapser-width) +
+          var(--jp-cell-padding) + var(--jp-cell-padding)
+      )
+  );
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  color: var(--jp-ui-font-color3);
+  margin-top: 6px;
+  background: none;
+  cursor: pointer;
+}
+
+.jp-Notebook-footer:focus {
+  border-color: var(--jp-cell-editor-active-border-color);
+}
+
+/* For devices that support hovering, hide footer until hover */
+@media (hover: hover) {
+  .jp-Notebook-footer {
+    opacity: 0;
+  }
+
+  .jp-Notebook-footer:focus,
+  .jp-Notebook-footer:hover {
+    opacity: 1;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Imports
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| CSS variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-side-by-side-output-size: 1fr;
+  --jp-side-by-side-resized-cell: var(--jp-side-by-side-output-size);
+  --jp-private-notebook-dragImage-width: 304px;
+  --jp-private-notebook-dragImage-height: 36px;
+  --jp-private-notebook-selected-color: var(--md-blue-400);
+  --jp-private-notebook-active-color: var(--md-green-400);
+}
+
+/*-----------------------------------------------------------------------------
+| Notebook
+|----------------------------------------------------------------------------*/
+
+/* stylelint-disable selector-max-class */
+
+.jp-NotebookPanel {
+  display: block;
+  height: 100%;
+}
+
+.jp-NotebookPanel.jp-Document {
+  min-width: 240px;
+  min-height: 120px;
+}
+
+.jp-Notebook {
+  padding: var(--jp-notebook-padding);
+  outline: none;
+  overflow: auto;
+  background: var(--jp-layout-color0);
+}
+
+.jp-Notebook.jp-mod-scrollPastEnd::after {
+  display: block;
+  content: '';
+  min-height: var(--jp-notebook-scroll-padding);
+}
+
+.jp-MainAreaWidget-ContainStrict .jp-Notebook * {
+  contain: strict;
+}
+
+.jp-Notebook .jp-Cell {
+  overflow: visible;
+}
+
+.jp-Notebook .jp-Cell .jp-InputPrompt {
+  cursor: move;
+}
+
+/*-----------------------------------------------------------------------------
+| Notebook state related styling
+|
+| The notebook and cells each have states, here are the possibilities:
+|
+| - Notebook
+|   - Command
+|   - Edit
+| - Cell
+|   - None
+|   - Active (only one can be active)
+|   - Selected (the cells actions are applied to)
+|   - Multiselected (when multiple selected, the cursor)
+|   - No outputs
+|----------------------------------------------------------------------------*/
+
+/* Command or edit modes */
+
+.jp-Notebook .jp-Cell:not(.jp-mod-active) .jp-InputPrompt {
+  opacity: var(--jp-cell-prompt-not-active-opacity);
+  color: var(--jp-cell-prompt-not-active-font-color);
+}
+
+.jp-Notebook .jp-Cell:not(.jp-mod-active) .jp-OutputPrompt {
+  opacity: var(--jp-cell-prompt-not-active-opacity);
+  color: var(--jp-cell-prompt-not-active-font-color);
+}
+
+/* cell is active */
+.jp-Notebook .jp-Cell.jp-mod-active .jp-Collapser {
+  background: var(--jp-brand-color1);
+}
+
+/* cell is dirty */
+.jp-Notebook .jp-Cell.jp-mod-dirty .jp-InputPrompt {
+  color: var(--jp-warn-color1);
+}
+
+.jp-Notebook .jp-Cell.jp-mod-dirty .jp-InputPrompt::before {
+  color: var(--jp-warn-color1);
+  content: '•';
+}
+
+.jp-Notebook .jp-Cell.jp-mod-active.jp-mod-dirty .jp-Collapser {
+  background: var(--jp-warn-color1);
+}
+
+/* collapser is hovered */
+.jp-Notebook .jp-Cell .jp-Collapser:hover {
+  box-shadow: var(--jp-elevation-z2);
+  background: var(--jp-brand-color1);
+  opacity: var(--jp-cell-collapser-not-active-hover-opacity);
+}
+
+/* cell is active and collapser is hovered */
+.jp-Notebook .jp-Cell.jp-mod-active .jp-Collapser:hover {
+  background: var(--jp-brand-color0);
+  opacity: 1;
+}
+
+/* Command mode */
+
+.jp-Notebook.jp-mod-commandMode .jp-Cell.jp-mod-selected {
+  background: var(--jp-notebook-multiselected-color);
+}
+
+.jp-Notebook.jp-mod-commandMode
+  .jp-Cell.jp-mod-active.jp-mod-selected:not(.jp-mod-multiSelected) {
+  background: transparent;
+}
+
+/* Edit mode */
+
+.jp-Notebook.jp-mod-editMode .jp-Cell.jp-mod-active .jp-InputArea-editor {
+  border: var(--jp-border-width) solid var(--jp-cell-editor-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+  background-color: var(--jp-cell-editor-active-background);
+}
+
+/*-----------------------------------------------------------------------------
+| Notebook drag and drop
+|----------------------------------------------------------------------------*/
+
+.jp-Notebook-cell.jp-mod-dropSource {
+  opacity: 0.5;
+}
+
+.jp-Notebook-cell.jp-mod-dropTarget,
+.jp-Notebook.jp-mod-commandMode
+  .jp-Notebook-cell.jp-mod-active.jp-mod-selected.jp-mod-dropTarget {
+  border-top-color: var(--jp-private-notebook-selected-color);
+  border-top-style: solid;
+  border-top-width: 2px;
+}
+
+.jp-dragImage {
+  display: block;
+  flex-direction: row;
+  width: var(--jp-private-notebook-dragImage-width);
+  height: var(--jp-private-notebook-dragImage-height);
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  background: var(--jp-cell-editor-background);
+  overflow: visible;
+}
+
+.jp-dragImage-singlePrompt {
+  box-shadow: 2px 2px 4px 0 rgba(0, 0, 0, 0.12);
+}
+
+.jp-dragImage .jp-dragImage-content {
+  flex: 1 1 auto;
+  z-index: 2;
+  font-size: var(--jp-code-font-size);
+  font-family: var(--jp-code-font-family);
+  line-height: var(--jp-code-line-height);
+  padding: var(--jp-code-padding);
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  background: var(--jp-cell-editor-background-color);
+  color: var(--jp-content-font-color3);
+  text-align: left;
+  margin: 4px 4px 4px 0;
+}
+
+.jp-dragImage .jp-dragImage-prompt {
+  flex: 0 0 auto;
+  min-width: 36px;
+  color: var(--jp-cell-inprompt-font-color);
+  padding: var(--jp-code-padding);
+  padding-left: 12px;
+  font-family: var(--jp-cell-prompt-font-family);
+  letter-spacing: var(--jp-cell-prompt-letter-spacing);
+  line-height: 1.9;
+  font-size: var(--jp-code-font-size);
+  border: var(--jp-border-width) solid transparent;
+}
+
+.jp-dragImage-multipleBack {
+  z-index: -1;
+  position: absolute;
+  height: 32px;
+  width: 300px;
+  top: 8px;
+  left: 8px;
+  background: var(--jp-layout-color2);
+  border: var(--jp-border-width) solid var(--jp-input-border-color);
+  box-shadow: 2px 2px 4px 0 rgba(0, 0, 0, 0.12);
+}
+
+/*-----------------------------------------------------------------------------
+| Cell toolbar
+|----------------------------------------------------------------------------*/
+
+.jp-NotebookTools {
+  display: block;
+  min-width: var(--jp-sidebar-min-width);
+  color: var(--jp-ui-font-color1);
+  background: var(--jp-layout-color1);
+
+  /* This is needed so that all font sizing of children done in ems is
+    * relative to this base size */
+  font-size: var(--jp-ui-font-size1);
+  overflow: auto;
+}
+
+.jp-ActiveCellTool {
+  padding: 12px 0;
+  display: flex;
+}
+
+.jp-ActiveCellTool-Content {
+  flex: 1 1 auto;
+}
+
+.jp-ActiveCellTool .jp-ActiveCellTool-CellContent {
+  background: var(--jp-cell-editor-background);
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  border-radius: 0;
+  min-height: 29px;
+}
+
+.jp-ActiveCellTool .jp-InputPrompt {
+  min-width: calc(var(--jp-cell-prompt-width) * 0.75);
+}
+
+.jp-ActiveCellTool-CellContent > pre {
+  padding: 5px 4px;
+  margin: 0;
+  white-space: normal;
+}
+
+.jp-MetadataEditorTool {
+  flex-direction: column;
+  padding: 12px 0;
+}
+
+.jp-RankedPanel > :not(:first-child) {
+  margin-top: 12px;
+}
+
+.jp-KeySelector select.jp-mod-styled {
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color0);
+  border: var(--jp-border-width) solid var(--jp-border-color1);
+}
+
+.jp-KeySelector label,
+.jp-MetadataEditorTool label,
+.jp-NumberSetter label {
+  line-height: 1.4;
+}
+
+.jp-NotebookTools .jp-select-wrapper {
+  margin-top: 4px;
+  margin-bottom: 0;
+}
+
+.jp-NumberSetter input {
+  width: 100%;
+  margin-top: 4px;
+}
+
+.jp-NotebookTools .jp-Collapse {
+  margin-top: 16px;
+}
+
+/*-----------------------------------------------------------------------------
+| Presentation Mode (.jp-mod-presentationMode)
+|----------------------------------------------------------------------------*/
+
+.jp-mod-presentationMode .jp-Notebook {
+  --jp-content-font-size1: var(--jp-content-presentation-font-size1);
+  --jp-code-font-size: var(--jp-code-presentation-font-size);
+}
+
+.jp-mod-presentationMode .jp-Notebook .jp-Cell .jp-InputPrompt,
+.jp-mod-presentationMode .jp-Notebook .jp-Cell .jp-OutputPrompt {
+  flex: 0 0 110px;
+}
+
+/*-----------------------------------------------------------------------------
+| Side-by-side Mode (.jp-mod-sideBySide)
+|----------------------------------------------------------------------------*/
+.jp-mod-sideBySide.jp-Notebook .jp-Notebook-cell {
+  margin-top: 3em;
+  margin-bottom: 3em;
+  margin-left: 5%;
+  margin-right: 5%;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell {
+  display: grid;
+  grid-template-columns: minmax(0, 1fr) min-content minmax(
+      0,
+      var(--jp-side-by-side-output-size)
+    );
+  grid-template-rows: auto minmax(0, 1fr) auto;
+  grid-template-areas:
+    'header header header'
+    'input handle output'
+    'footer footer footer';
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell.jp-mod-resizedCell {
+  grid-template-columns: minmax(0, 1fr) min-content minmax(
+      0,
+      var(--jp-side-by-side-resized-cell)
+    );
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellHeader {
+  grid-area: header;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-Cell-inputWrapper {
+  grid-area: input;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-Cell-outputWrapper {
+  /* overwrite the default margin (no vertical separation needed in side by side move */
+  margin-top: 0;
+  grid-area: output;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellFooter {
+  grid-area: footer;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellResizeHandle {
+  grid-area: handle;
+  user-select: none;
+  display: block;
+  height: 100%;
+  cursor: ew-resize;
+  padding: 0 var(--jp-cell-padding);
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellResizeHandle::after {
+  content: '';
+  display: block;
+  background: var(--jp-border-color2);
+  height: 100%;
+  width: 5px;
+}
+
+.jp-mod-sideBySide.jp-Notebook
+  .jp-CodeCell.jp-mod-resizedCell
+  .jp-CellResizeHandle::after {
+  background: var(--jp-border-color0);
+}
+
+.jp-CellResizeHandle {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Placeholder
+|----------------------------------------------------------------------------*/
+
+.jp-Cell-Placeholder {
+  padding-left: 55px;
+}
+
+.jp-Cell-Placeholder-wrapper {
+  background: #fff;
+  border: 1px solid;
+  border-color: #e5e6e9 #dfe0e4 #d0d1d5;
+  border-radius: 4px;
+  -webkit-border-radius: 4px;
+  margin: 10px 15px;
+}
+
+.jp-Cell-Placeholder-wrapper-inner {
+  padding: 15px;
+  position: relative;
+}
+
+.jp-Cell-Placeholder-wrapper-body {
+  background-repeat: repeat;
+  background-size: 50% auto;
+}
+
+.jp-Cell-Placeholder-wrapper-body div {
+  background: #f6f7f8;
+  background-image: -webkit-linear-gradient(
+    left,
+    #f6f7f8 0%,
+    #edeef1 20%,
+    #f6f7f8 40%,
+    #f6f7f8 100%
+  );
+  background-repeat: no-repeat;
+  background-size: 800px 104px;
+  height: 104px;
+  position: absolute;
+  right: 15px;
+  left: 15px;
+  top: 15px;
+}
+
+div.jp-Cell-Placeholder-h1 {
+  top: 20px;
+  height: 20px;
+  left: 15px;
+  width: 150px;
+}
+
+div.jp-Cell-Placeholder-h2 {
+  left: 15px;
+  top: 50px;
+  height: 10px;
+  width: 100px;
+}
+
+div.jp-Cell-Placeholder-content-1,
+div.jp-Cell-Placeholder-content-2,
+div.jp-Cell-Placeholder-content-3 {
+  left: 15px;
+  right: 15px;
+  height: 10px;
+}
+
+div.jp-Cell-Placeholder-content-1 {
+  top: 100px;
+}
+
+div.jp-Cell-Placeholder-content-2 {
+  top: 120px;
+}
+
+div.jp-Cell-Placeholder-content-3 {
+  top: 140px;
+}
+
+</style>
+<style type="text/css">
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*
+The following CSS variables define the main, public API for styling JupyterLab.
+These variables should be used by all plugins wherever possible. In other
+words, plugins should not define custom colors, sizes, etc unless absolutely
+necessary. This enables users to change the visual theme of JupyterLab
+by changing these variables.
+
+Many variables appear in an ordered sequence (0,1,2,3). These sequences
+are designed to work well together, so for example, `--jp-border-color1` should
+be used with `--jp-layout-color1`. The numbers have the following meanings:
+
+* 0: super-primary, reserved for special emphasis
+* 1: primary, most important under normal situations
+* 2: secondary, next most important under normal situations
+* 3: tertiary, next most important under normal situations
+
+Throughout JupyterLab, we are mostly following principles from Google's
+Material Design when selecting colors. We are not, however, following
+all of MD as it is not optimized for dense, information rich UIs.
+*/
+
+:root {
+  /* Elevation
+   *
+   * We style box-shadows using Material Design's idea of elevation. These particular numbers are taken from here:
+   *
+   * https://github.com/material-components/material-components-web
+   * https://material-components-web.appspot.com/elevation.html
+   */
+
+  --jp-shadow-base-lightness: 0;
+  --jp-shadow-umbra-color: rgba(
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    0.2
+  );
+  --jp-shadow-penumbra-color: rgba(
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    0.14
+  );
+  --jp-shadow-ambient-color: rgba(
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    0.12
+  );
+  --jp-elevation-z0: none;
+  --jp-elevation-z1: 0 2px 1px -1px var(--jp-shadow-umbra-color),
+    0 1px 1px 0 var(--jp-shadow-penumbra-color),
+    0 1px 3px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z2: 0 3px 1px -2px var(--jp-shadow-umbra-color),
+    0 2px 2px 0 var(--jp-shadow-penumbra-color),
+    0 1px 5px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z4: 0 2px 4px -1px var(--jp-shadow-umbra-color),
+    0 4px 5px 0 var(--jp-shadow-penumbra-color),
+    0 1px 10px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z6: 0 3px 5px -1px var(--jp-shadow-umbra-color),
+    0 6px 10px 0 var(--jp-shadow-penumbra-color),
+    0 1px 18px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z8: 0 5px 5px -3px var(--jp-shadow-umbra-color),
+    0 8px 10px 1px var(--jp-shadow-penumbra-color),
+    0 3px 14px 2px var(--jp-shadow-ambient-color);
+  --jp-elevation-z12: 0 7px 8px -4px var(--jp-shadow-umbra-color),
+    0 12px 17px 2px var(--jp-shadow-penumbra-color),
+    0 5px 22px 4px var(--jp-shadow-ambient-color);
+  --jp-elevation-z16: 0 8px 10px -5px var(--jp-shadow-umbra-color),
+    0 16px 24px 2px var(--jp-shadow-penumbra-color),
+    0 6px 30px 5px var(--jp-shadow-ambient-color);
+  --jp-elevation-z20: 0 10px 13px -6px var(--jp-shadow-umbra-color),
+    0 20px 31px 3px var(--jp-shadow-penumbra-color),
+    0 8px 38px 7px var(--jp-shadow-ambient-color);
+  --jp-elevation-z24: 0 11px 15px -7px var(--jp-shadow-umbra-color),
+    0 24px 38px 3px var(--jp-shadow-penumbra-color),
+    0 9px 46px 8px var(--jp-shadow-ambient-color);
+
+  /* Borders
+   *
+   * The following variables, specify the visual styling of borders in JupyterLab.
+   */
+
+  --jp-border-width: 1px;
+  --jp-border-color0: var(--md-grey-400);
+  --jp-border-color1: var(--md-grey-400);
+  --jp-border-color2: var(--md-grey-300);
+  --jp-border-color3: var(--md-grey-200);
+  --jp-inverse-border-color: var(--md-grey-600);
+  --jp-border-radius: 2px;
+
+  /* UI Fonts
+   *
+   * The UI font CSS variables are used for the typography all of the JupyterLab
+   * user interface elements that are not directly user generated content.
+   *
+   * The font sizing here is done assuming that the body font size of --jp-ui-font-size1
+   * is applied to a parent element. When children elements, such as headings, are sized
+   * in em all things will be computed relative to that body size.
+   */
+
+  --jp-ui-font-scale-factor: 1.2;
+  --jp-ui-font-size0: 0.83333em;
+  --jp-ui-font-size1: 13px; /* Base font size */
+  --jp-ui-font-size2: 1.2em;
+  --jp-ui-font-size3: 1.44em;
+  --jp-ui-font-family: system-ui, -apple-system, blinkmacsystemfont, 'Segoe UI',
+    helvetica, arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji',
+    'Segoe UI Symbol';
+
+  /*
+   * Use these font colors against the corresponding main layout colors.
+   * In a light theme, these go from dark to light.
+   */
+
+  /* Defaults use Material Design specification */
+  --jp-ui-font-color0: rgba(0, 0, 0, 1);
+  --jp-ui-font-color1: rgba(0, 0, 0, 0.87);
+  --jp-ui-font-color2: rgba(0, 0, 0, 0.54);
+  --jp-ui-font-color3: rgba(0, 0, 0, 0.38);
+
+  /*
+   * Use these against the brand/accent/warn/error colors.
+   * These will typically go from light to darker, in both a dark and light theme.
+   */
+
+  --jp-ui-inverse-font-color0: rgba(255, 255, 255, 1);
+  --jp-ui-inverse-font-color1: rgba(255, 255, 255, 1);
+  --jp-ui-inverse-font-color2: rgba(255, 255, 255, 0.7);
+  --jp-ui-inverse-font-color3: rgba(255, 255, 255, 0.5);
+
+  /* Content Fonts
+   *
+   * Content font variables are used for typography of user generated content.
+   *
+   * The font sizing here is done assuming that the body font size of --jp-content-font-size1
+   * is applied to a parent element. When children elements, such as headings, are sized
+   * in em all things will be computed relative to that body size.
+   */
+
+  --jp-content-line-height: 1.6;
+  --jp-content-font-scale-factor: 1.2;
+  --jp-content-font-size0: 0.83333em;
+  --jp-content-font-size1: 14px; /* Base font size */
+  --jp-content-font-size2: 1.2em;
+  --jp-content-font-size3: 1.44em;
+  --jp-content-font-size4: 1.728em;
+  --jp-content-font-size5: 2.0736em;
+
+  /* This gives a magnification of about 125% in presentation mode over normal. */
+  --jp-content-presentation-font-size1: 17px;
+  --jp-content-heading-line-height: 1;
+  --jp-content-heading-margin-top: 1.2em;
+  --jp-content-heading-margin-bottom: 0.8em;
+  --jp-content-heading-font-weight: 500;
+
+  /* Defaults use Material Design specification */
+  --jp-content-font-color0: rgba(0, 0, 0, 1);
+  --jp-content-font-color1: rgba(0, 0, 0, 0.87);
+  --jp-content-font-color2: rgba(0, 0, 0, 0.54);
+  --jp-content-font-color3: rgba(0, 0, 0, 0.38);
+  --jp-content-link-color: var(--md-blue-900);
+  --jp-content-font-family: system-ui, -apple-system, blinkmacsystemfont,
+    'Segoe UI', helvetica, arial, sans-serif, 'Apple Color Emoji',
+    'Segoe UI Emoji', 'Segoe UI Symbol';
+
+  /*
+   * Code Fonts
+   *
+   * Code font variables are used for typography of code and other monospaces content.
+   */
+
+  --jp-code-font-size: 13px;
+  --jp-code-line-height: 1.3077; /* 17px for 13px base */
+  --jp-code-padding: 5px; /* 5px for 13px base, codemirror highlighting needs integer px value */
+  --jp-code-font-family-default: menlo, consolas, 'DejaVu Sans Mono', monospace;
+  --jp-code-font-family: var(--jp-code-font-family-default);
+
+  /* This gives a magnification of about 125% in presentation mode over normal. */
+  --jp-code-presentation-font-size: 16px;
+
+  /* may need to tweak cursor width if you change font size */
+  --jp-code-cursor-width0: 1.4px;
+  --jp-code-cursor-width1: 2px;
+  --jp-code-cursor-width2: 4px;
+
+  /* Layout
+   *
+   * The following are the main layout colors use in JupyterLab. In a light
+   * theme these would go from light to dark.
+   */
+
+  --jp-layout-color0: white;
+  --jp-layout-color1: white;
+  --jp-layout-color2: var(--md-grey-200);
+  --jp-layout-color3: var(--md-grey-400);
+  --jp-layout-color4: var(--md-grey-600);
+
+  /* Inverse Layout
+   *
+   * The following are the inverse layout colors use in JupyterLab. In a light
+   * theme these would go from dark to light.
+   */
+
+  --jp-inverse-layout-color0: #111;
+  --jp-inverse-layout-color1: var(--md-grey-900);
+  --jp-inverse-layout-color2: var(--md-grey-800);
+  --jp-inverse-layout-color3: var(--md-grey-700);
+  --jp-inverse-layout-color4: var(--md-grey-600);
+
+  /* Brand/accent */
+
+  --jp-brand-color0: var(--md-blue-900);
+  --jp-brand-color1: var(--md-blue-700);
+  --jp-brand-color2: var(--md-blue-300);
+  --jp-brand-color3: var(--md-blue-100);
+  --jp-brand-color4: var(--md-blue-50);
+  --jp-accent-color0: var(--md-green-900);
+  --jp-accent-color1: var(--md-green-700);
+  --jp-accent-color2: var(--md-green-300);
+  --jp-accent-color3: var(--md-green-100);
+
+  /* State colors (warn, error, success, info) */
+
+  --jp-warn-color0: var(--md-orange-900);
+  --jp-warn-color1: var(--md-orange-700);
+  --jp-warn-color2: var(--md-orange-300);
+  --jp-warn-color3: var(--md-orange-100);
+  --jp-error-color0: var(--md-red-900);
+  --jp-error-color1: var(--md-red-700);
+  --jp-error-color2: var(--md-red-300);
+  --jp-error-color3: var(--md-red-100);
+  --jp-success-color0: var(--md-green-900);
+  --jp-success-color1: var(--md-green-700);
+  --jp-success-color2: var(--md-green-300);
+  --jp-success-color3: var(--md-green-100);
+  --jp-info-color0: var(--md-cyan-900);
+  --jp-info-color1: var(--md-cyan-700);
+  --jp-info-color2: var(--md-cyan-300);
+  --jp-info-color3: var(--md-cyan-100);
+
+  /* Cell specific styles */
+
+  --jp-cell-padding: 5px;
+  --jp-cell-collapser-width: 8px;
+  --jp-cell-collapser-min-height: 20px;
+  --jp-cell-collapser-not-active-hover-opacity: 0.6;
+  --jp-cell-editor-background: var(--md-grey-100);
+  --jp-cell-editor-border-color: var(--md-grey-300);
+  --jp-cell-editor-box-shadow: inset 0 0 2px var(--md-blue-300);
+  --jp-cell-editor-active-background: var(--jp-layout-color0);
+  --jp-cell-editor-active-border-color: var(--jp-brand-color1);
+  --jp-cell-prompt-width: 64px;
+  --jp-cell-prompt-font-family: var(--jp-code-font-family-default);
+  --jp-cell-prompt-letter-spacing: 0;
+  --jp-cell-prompt-opacity: 1;
+  --jp-cell-prompt-not-active-opacity: 0.5;
+  --jp-cell-prompt-not-active-font-color: var(--md-grey-700);
+
+  /* A custom blend of MD grey and blue 600
+   * See https://meyerweb.com/eric/tools/color-blend/#546E7A:1E88E5:5:hex */
+  --jp-cell-inprompt-font-color: #307fc1;
+
+  /* A custom blend of MD grey and orange 600
+   * https://meyerweb.com/eric/tools/color-blend/#546E7A:F4511E:5:hex */
+  --jp-cell-outprompt-font-color: #bf5b3d;
+
+  /* Notebook specific styles */
+
+  --jp-notebook-padding: 10px;
+  --jp-notebook-select-background: var(--jp-layout-color1);
+  --jp-notebook-multiselected-color: var(--md-blue-50);
+
+  /* The scroll padding is calculated to fill enough space at the bottom of the
+  notebook to show one single-line cell (with appropriate padding) at the top
+  when the notebook is scrolled all the way to the bottom. We also subtract one
+  pixel so that no scrollbar appears if we have just one single-line cell in the
+  notebook. This padding is to enable a 'scroll past end' feature in a notebook.
+  */
+  --jp-notebook-scroll-padding: calc(
+    100% - var(--jp-code-font-size) * var(--jp-code-line-height) -
+      var(--jp-code-padding) - var(--jp-cell-padding) - 1px
+  );
+
+  /* Rendermime styles */
+
+  --jp-rendermime-error-background: #fdd;
+  --jp-rendermime-table-row-background: var(--md-grey-100);
+  --jp-rendermime-table-row-hover-background: var(--md-light-blue-50);
+
+  /* Dialog specific styles */
+
+  --jp-dialog-background: rgba(0, 0, 0, 0.25);
+
+  /* Console specific styles */
+
+  --jp-console-padding: 10px;
+
+  /* Toolbar specific styles */
+
+  --jp-toolbar-border-color: var(--jp-border-color1);
+  --jp-toolbar-micro-height: 8px;
+  --jp-toolbar-background: var(--jp-layout-color1);
+  --jp-toolbar-box-shadow: 0 0 2px 0 rgba(0, 0, 0, 0.24);
+  --jp-toolbar-header-margin: 4px 4px 0 4px;
+  --jp-toolbar-active-background: var(--md-grey-300);
+
+  /* Statusbar specific styles */
+
+  --jp-statusbar-height: 24px;
+
+  /* Input field styles */
+
+  --jp-input-box-shadow: inset 0 0 2px var(--md-blue-300);
+  --jp-input-active-background: var(--jp-layout-color1);
+  --jp-input-hover-background: var(--jp-layout-color1);
+  --jp-input-background: var(--md-grey-100);
+  --jp-input-border-color: var(--jp-inverse-border-color);
+  --jp-input-active-border-color: var(--jp-brand-color1);
+  --jp-input-active-box-shadow-color: rgba(19, 124, 189, 0.3);
+
+  /* General editor styles */
+
+  --jp-editor-selected-background: #d9d9d9;
+  --jp-editor-selected-focused-background: #d7d4f0;
+  --jp-editor-cursor-color: var(--jp-ui-font-color0);
+
+  /* Code mirror specific styles */
+
+  --jp-mirror-editor-keyword-color: #008000;
+  --jp-mirror-editor-atom-color: #88f;
+  --jp-mirror-editor-number-color: #080;
+  --jp-mirror-editor-def-color: #00f;
+  --jp-mirror-editor-variable-color: var(--md-grey-900);
+  --jp-mirror-editor-variable-2-color: rgb(0, 54, 109);
+  --jp-mirror-editor-variable-3-color: #085;
+  --jp-mirror-editor-punctuation-color: #05a;
+  --jp-mirror-editor-property-color: #05a;
+  --jp-mirror-editor-operator-color: #a2f;
+  --jp-mirror-editor-comment-color: #408080;
+  --jp-mirror-editor-string-color: #ba2121;
+  --jp-mirror-editor-string-2-color: #708;
+  --jp-mirror-editor-meta-color: #a2f;
+  --jp-mirror-editor-qualifier-color: #555;
+  --jp-mirror-editor-builtin-color: #008000;
+  --jp-mirror-editor-bracket-color: #997;
+  --jp-mirror-editor-tag-color: #170;
+  --jp-mirror-editor-attribute-color: #00c;
+  --jp-mirror-editor-header-color: blue;
+  --jp-mirror-editor-quote-color: #090;
+  --jp-mirror-editor-link-color: #00c;
+  --jp-mirror-editor-error-color: #f00;
+  --jp-mirror-editor-hr-color: #999;
+
+  /*
+    RTC user specific colors.
+    These colors are used for the cursor, username in the editor,
+    and the icon of the user.
+  */
+
+  --jp-collaborator-color1: #ffad8e;
+  --jp-collaborator-color2: #dac83d;
+  --jp-collaborator-color3: #72dd76;
+  --jp-collaborator-color4: #00e4d0;
+  --jp-collaborator-color5: #45d4ff;
+  --jp-collaborator-color6: #e2b1ff;
+  --jp-collaborator-color7: #ff9de6;
+
+  /* Vega extension styles */
+
+  --jp-vega-background: white;
+
+  /* Sidebar-related styles */
+
+  --jp-sidebar-min-width: 250px;
+
+  /* Search-related styles */
+
+  --jp-search-toggle-off-opacity: 0.5;
+  --jp-search-toggle-hover-opacity: 0.8;
+  --jp-search-toggle-on-opacity: 1;
+  --jp-search-selected-match-background-color: rgb(245, 200, 0);
+  --jp-search-selected-match-color: black;
+  --jp-search-unselected-match-background-color: var(
+    --jp-inverse-layout-color0
+  );
+  --jp-search-unselected-match-color: var(--jp-ui-inverse-font-color0);
+
+  /* Icon colors that work well with light or dark backgrounds */
+  --jp-icon-contrast-color0: var(--md-purple-600);
+  --jp-icon-contrast-color1: var(--md-green-600);
+  --jp-icon-contrast-color2: var(--md-pink-600);
+  --jp-icon-contrast-color3: var(--md-blue-600);
+
+  /* Button colors */
+  --jp-accept-color-normal: var(--md-blue-700);
+  --jp-accept-color-hover: var(--md-blue-800);
+  --jp-accept-color-active: var(--md-blue-900);
+  --jp-warn-color-normal: var(--md-red-700);
+  --jp-warn-color-hover: var(--md-red-800);
+  --jp-warn-color-active: var(--md-red-900);
+  --jp-reject-color-normal: var(--md-grey-600);
+  --jp-reject-color-hover: var(--md-grey-700);
+  --jp-reject-color-active: var(--md-grey-800);
+
+  /* File or activity icons and switch semantic variables */
+  --jp-jupyter-icon-color: #f37626;
+  --jp-notebook-icon-color: #f37626;
+  --jp-json-icon-color: var(--md-orange-700);
+  --jp-console-icon-background-color: var(--md-blue-700);
+  --jp-console-icon-color: white;
+  --jp-terminal-icon-background-color: var(--md-grey-800);
+  --jp-terminal-icon-color: var(--md-grey-200);
+  --jp-text-editor-icon-color: var(--md-grey-700);
+  --jp-inspector-icon-color: var(--md-grey-700);
+  --jp-switch-color: var(--md-grey-400);
+  --jp-switch-true-position-color: var(--md-orange-900);
+}
+</style>
+<style type="text/css">
+/* Force rendering true colors when outputing to pdf */
+* {
+  -webkit-print-color-adjust: exact;
+}
+
+/* Misc */
+a.anchor-link {
+  display: none;
+}
+
+/* Input area styling */
+.jp-InputArea {
+  overflow: hidden;
+}
+
+.jp-InputArea-editor {
+  overflow: hidden;
+}
+
+.cm-editor.cm-s-jupyter .highlight pre {
+/* weird, but --jp-code-padding defined to be 5px but 4px horizontal padding is hardcoded for pre.cm-line */
+  padding: var(--jp-code-padding) 4px;
+  margin: 0;
+
+  font-family: inherit;
+  font-size: inherit;
+  line-height: inherit;
+  color: inherit;
+
+}
+
+.jp-OutputArea-output pre {
+  line-height: inherit;
+  font-family: inherit;
+}
+
+.jp-RenderedText pre {
+  color: var(--jp-content-font-color1);
+  font-size: var(--jp-code-font-size);
+}
+
+/* Hiding the collapser by default */
+.jp-Collapser {
+  display: none;
+}
+
+@page {
+    margin: 0.5in; /* Margin for each printed piece of paper */
+}
+
+@media print {
+  .jp-Cell-inputWrapper,
+  .jp-Cell-outputWrapper {
+    display: block;
+  }
+}
+</style>
+<!-- Load mathjax -->
+<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/latest.js?config=TeX-AMS_CHTML-full,Safe"> </script>
+<!-- MathJax configuration -->
+<script type="text/x-mathjax-config">
+    init_mathjax = function() {
+        if (window.MathJax) {
+        // MathJax loaded
+            MathJax.Hub.Config({
+                TeX: {
+                    equationNumbers: {
+                    autoNumber: "AMS",
+                    useLabelIds: true
+                    }
+                },
+                tex2jax: {
+                    inlineMath: [ ['$','$'], ["\\(","\\)"] ],
+                    displayMath: [ ['$$','$$'], ["\\[","\\]"] ],
+                    processEscapes: true,
+                    processEnvironments: true
+                },
+                displayAlign: 'center',
+                CommonHTML: {
+                    linebreaks: {
+                    automatic: true
+                    }
+                }
+            });
+
+            MathJax.Hub.Queue(["Typeset", MathJax.Hub]);
+        }
+    }
+    init_mathjax();
+    </script>
+<!-- End of mathjax configuration --><script type="module">
+  document.addEventListener("DOMContentLoaded", async () => {
+    const diagrams = document.querySelectorAll(".jp-Mermaid > pre.mermaid");
+    // do not load mermaidjs if not needed
+    if (!diagrams.length) {
+      return;
+    }
+    const mermaid = (await import("https://cdnjs.cloudflare.com/ajax/libs/mermaid/10.6.0/mermaid.esm.min.mjs")).default;
+    const parser = new DOMParser();
+
+    mermaid.initialize({
+      maxTextSize: 100000,
+      startOnLoad: false,
+      fontFamily: window
+        .getComputedStyle(document.body)
+        .getPropertyValue("--jp-ui-font-family"),
+      theme: document.querySelector("body[data-jp-theme-light='true']")
+        ? "default"
+        : "dark",
+    });
+
+    let _nextMermaidId = 0;
+
+    function makeMermaidImage(svg) {
+      const img = document.createElement("img");
+      const doc = parser.parseFromString(svg, "image/svg+xml");
+      const svgEl = doc.querySelector("svg");
+      const { maxWidth } = svgEl?.style || {};
+      const firstTitle = doc.querySelector("title");
+      const firstDesc = doc.querySelector("desc");
+
+      img.setAttribute("src", `data:image/svg+xml,${encodeURIComponent(svg)}`);
+      if (maxWidth) {
+        img.width = parseInt(maxWidth);
+      }
+      if (firstTitle) {
+        img.setAttribute("alt", firstTitle.textContent);
+      }
+      if (firstDesc) {
+        const caption = document.createElement("figcaption");
+        caption.className = "sr-only";
+        caption.textContent = firstDesc.textContent;
+        return [img, caption];
+      }
+      return [img];
+    }
+
+    async function makeMermaidError(text) {
+      let errorMessage = "";
+      try {
+        await mermaid.parse(text);
+      } catch (err) {
+        errorMessage = `${err}`;
+      }
+
+      const result = document.createElement("details");
+      result.className = 'jp-RenderedMermaid-Details';
+      const summary = document.createElement("summary");
+      summary.className = 'jp-RenderedMermaid-Summary';
+      const pre = document.createElement("pre");
+      const code = document.createElement("code");
+      code.innerText = text;
+      pre.appendChild(code);
+      summary.appendChild(pre);
+      result.appendChild(summary);
+
+      const warning = document.createElement("pre");
+      warning.innerText = errorMessage;
+      result.appendChild(warning);
+      return [result];
+    }
+
+    async function renderOneMarmaid(src) {
+      const id = `jp-mermaid-${_nextMermaidId++}`;
+      const parent = src.parentNode;
+      let raw = src.textContent.trim();
+      const el = document.createElement("div");
+      el.style.visibility = "hidden";
+      document.body.appendChild(el);
+      let results = null;
+      let output = null;
+      try {
+        const { svg } = await mermaid.render(id, raw, el);
+        results = makeMermaidImage(svg);
+        output = document.createElement("figure");
+        results.map(output.appendChild, output);
+      } catch (err) {
+        parent.classList.add("jp-mod-warning");
+        results = await makeMermaidError(raw);
+        output = results[0];
+      } finally {
+        el.remove();
+      }
+      parent.classList.add("jp-RenderedMermaid");
+      parent.appendChild(output);
+    }
+
+    void Promise.all([...diagrams].map(renderOneMarmaid));
+  });
+</script>
+<style>
+  .jp-Mermaid:not(.jp-RenderedMermaid) {
+    display: none;
+  }
+
+  .jp-RenderedMermaid {
+    overflow: auto;
+    display: flex;
+  }
+
+  .jp-RenderedMermaid.jp-mod-warning {
+    width: auto;
+    padding: 0.5em;
+    margin-top: 0.5em;
+    border: var(--jp-border-width) solid var(--jp-warn-color2);
+    border-radius: var(--jp-border-radius);
+    color: var(--jp-ui-font-color1);
+    font-size: var(--jp-ui-font-size1);
+    white-space: pre-wrap;
+    word-wrap: break-word;
+  }
+
+  .jp-RenderedMermaid figure {
+    margin: 0;
+    overflow: auto;
+    max-width: 100%;
+  }
+
+  .jp-RenderedMermaid img {
+    max-width: 100%;
+  }
+
+  .jp-RenderedMermaid-Details > pre {
+    margin-top: 1em;
+  }
+
+  .jp-RenderedMermaid-Summary {
+    color: var(--jp-warn-color2);
+  }
+
+  .jp-RenderedMermaid:not(.jp-mod-warning) pre {
+    display: none;
+  }
+
+  .jp-RenderedMermaid-Summary > pre {
+    display: inline-block;
+    white-space: normal;
+  }
+</style>
+<!-- End of mermaid configuration --></head>
+<body class="jp-Notebook" data-jp-theme-light="true" data-jp-theme-name="JupyterLab Light">
+<main>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h1>Table of Contents<span class="tocSkip"></span></h1>
+<div class="toc"><ul class="toc-item"><li><span><a data-toc-modified-id="Custom-Feature-Detection-and-Velocity-Fields:-Bubble-tracking-in-2D-foams-1" href="#Custom-Feature-Detection-and-Velocity-Fields:-Bubble-tracking-in-2D-foams"><span class="toc-item-num">1  </span>Custom Feature Detection and Velocity Fields: Bubble tracking in 2D foams</a></span><ul class="toc-item"><li><span><a data-toc-modified-id="Scientific-libraries-1.1" href="#Scientific-libraries"><span class="toc-item-num">1.1  </span>Scientific libraries</a></span></li><li><span><a data-toc-modified-id="Image-preprocessing-1.2" href="#Image-preprocessing"><span class="toc-item-num">1.2  </span>Image preprocessing</a></span></li><li><span><a data-toc-modified-id="Custom-feature-detection-1.3" href="#Custom-feature-detection"><span class="toc-item-num">1.3  </span>Custom feature detection</a></span></li><li><span><a data-toc-modified-id="Bubble-tracking-1.4" href="#Bubble-tracking"><span class="toc-item-num">1.4  </span>Bubble tracking</a></span></li><li><span><a data-toc-modified-id="Velocity-field-1.5" href="#Velocity-field"><span class="toc-item-num">1.5  </span>Velocity field</a></span><ul class="toc-item"><li><span><a data-toc-modified-id="Step-1:-calculation-1.5.1" href="#Step-1:-calculation"><span class="toc-item-num">1.5.1  </span>Step 1: calculation</a></span></li><li><span><a data-toc-modified-id="Step-2:-rendering-1.5.2" href="#Step-2:-rendering"><span class="toc-item-num">1.5.2  </span>Step 2: rendering</a></span></li></ul></li><li><span><a data-toc-modified-id="About-this-work-1.6" href="#About-this-work"><span class="toc-item-num">1.6  </span>About this work</a></span></li><li><span><a data-toc-modified-id="References-1.7" href="#References"><span class="toc-item-num">1.7  </span>References</a></span></li></ul></li></ul></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h1 id="Custom-Feature-Detection-and-Velocity-Fields:-Bubble-tracking-in-2D-foams">Custom Feature Detection and Velocity Fields: Bubble tracking in 2D foams<a class="anchor-link" href="#Custom-Feature-Detection-and-Velocity-Fields:-Bubble-tracking-in-2D-foams">¶</a></h1>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>As illustrated in the <a href="http://nbviewer.ipython.org/github/soft-matter/trackpy-examples/blob/master/notebooks/walkthrough.ipynb">walktrough example</a>, the tracking relies on two steps:</p>
+<ul>
+<li>the detection of features</li>
+<li>the tracking of these features</li>
+</ul>
+<p>In many situations, we track point-like particles. However, it is also possible to track extended features such as bubbles. Trackpy provides a 'locate' function to detect particles, seen as spots. But, in the case of bubbles in foams, bubbles are in contact with their neighbors and the 'locate' function could not detect their position.</p>
+<p>In this notebook, we show that we can apply a custom method to detect the position of the bubbles and then, pass the list to the tracking algorithm.</p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="Scientific-libraries">Scientific libraries<a class="anchor-link" href="#Scientific-libraries">¶</a></h2>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [1]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># change the following to %matplotlib notebook for interactive plotting</span>
+<span class="o">%</span><span class="k">matplotlib</span> inline
+
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+
+<span class="kn">import</span> <span class="nn">pims</span>
+<span class="kn">import</span> <span class="nn">trackpy</span> <span class="k">as</span> <span class="nn">tp</span>
+<span class="kn">import</span> <span class="nn">os</span>
+
+<span class="kn">import</span> <span class="nn">matplotlib</span>  <span class="k">as</span> <span class="nn">mpl</span> 
+<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span> 
+
+<span class="c1"># Optionally, tweak styles.</span>
+<span class="n">mpl</span><span class="o">.</span><span class="n">rc</span><span class="p">(</span><span class="s1">'figure'</span><span class="p">,</span>  <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">10</span><span class="p">,</span> <span class="mi">6</span><span class="p">))</span>
+<span class="n">mpl</span><span class="o">.</span><span class="n">rc</span><span class="p">(</span><span class="s1">'image'</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">'gray'</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [2]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">datapath</span> <span class="o">=</span> <span class="s1">'../sample_data/foam'</span>
+<span class="n">prefix</span> <span class="o">=</span> <span class="s1">'V1.75f3.125000'</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="Image-preprocessing">Image preprocessing<a class="anchor-link" href="#Image-preprocessing">¶</a></h2>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>First, we load the batch of pictures and we display an image as an example</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [3]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">id_example</span> <span class="o">=</span> <span class="mi">4</span>
+<span class="n">rawframes</span> <span class="o">=</span> <span class="n">pims</span><span class="o">.</span><span class="n">open</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">datapath</span><span class="p">,</span> <span class="n">prefix</span> <span class="o">+</span> <span class="s1">'*.tif'</span><span class="p">))</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">rawframes</span><span class="p">[</span><span class="n">id_example</span><span class="p">]);</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedImage jp-OutputArea-output" tabindex="0">
+<img alt="No description has been provided for this image" class="" 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"/>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>Because, we will need to apply several image processing steps to detect the positions of the bubbles, we crop the picture to keep only the region of interest. With PIMS, this is done by defining a pipeline function to process the frames.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [4]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="nd">@pims</span><span class="o">.</span><span class="n">pipeline</span>
+<span class="k">def</span> <span class="nf">crop</span><span class="p">(</span><span class="n">img</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    Crop the image to select the region of interest</span>
+<span class="sd">    """</span>
+    <span class="n">x_min</span> <span class="o">=</span> <span class="mi">45</span>
+    <span class="n">x_max</span> <span class="o">=</span> <span class="o">-</span><span class="mi">35</span>
+    <span class="n">y_min</span> <span class="o">=</span> <span class="mi">100</span>
+    <span class="n">y_max</span> <span class="o">=</span> <span class="o">-</span><span class="mi">300</span> 
+    <span class="k">return</span> <span class="n">img</span><span class="p">[</span><span class="n">y_min</span><span class="p">:</span><span class="n">y_max</span><span class="p">,</span> <span class="n">x_min</span><span class="p">:</span><span class="n">x_max</span><span class="p">]</span>
+
+<span class="n">rawframes</span> <span class="o">=</span> <span class="n">crop</span><span class="p">(</span><span class="n">pims</span><span class="o">.</span><span class="n">open</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">datapath</span><span class="p">,</span> <span class="n">prefix</span> <span class="o">+</span> <span class="s1">'*.tif'</span><span class="p">)))</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">rawframes</span><span class="p">[</span><span class="n">id_example</span><span class="p">]);</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedImage jp-OutputArea-output" tabindex="0">
+<img alt="No description has been provided for this image" class="" 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"/>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>The next step is to use <a href="http://scikit-image.org/">scikit-image</a> [1] to make a binary image of the edge of the bubbles. It usually requires several trials before getting a successful procedure for a particular dataset.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [5]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="kn">from</span> <span class="nn">scipy</span> <span class="kn">import</span> <span class="n">ndimage</span>
+<span class="kn">from</span> <span class="nn">skimage</span> <span class="kn">import</span> <span class="n">morphology</span><span class="p">,</span> <span class="n">util</span><span class="p">,</span> <span class="n">filters</span>
+
+
+<span class="nd">@pims</span><span class="o">.</span><span class="n">pipeline</span>
+<span class="k">def</span> <span class="nf">preprocess_foam</span><span class="p">(</span><span class="n">img</span><span class="p">):</span>
+<span class="w">    </span><span class="sd">"""</span>
+<span class="sd">    Apply image processing functions to return a binary image</span>
+<span class="sd">    """</span>
+    <span class="c1"># Crop the pictures as for raw images.</span>
+    <span class="n">img</span> <span class="o">=</span> <span class="n">crop</span><span class="p">(</span><span class="n">img</span><span class="p">)</span>
+    <span class="c1"># Apply thresholds</span>
+    <span class="n">adaptive_thresh</span> <span class="o">=</span> <span class="n">filters</span><span class="o">.</span><span class="n">threshold_local</span><span class="p">(</span><span class="n">img</span><span class="p">,</span> <span class="n">block_size</span><span class="o">=</span><span class="mi">301</span><span class="p">)</span>
+    <span class="n">img</span> <span class="o">=</span> <span class="n">img</span> <span class="o">&lt;</span> <span class="n">adaptive_thresh</span>
+    <span class="c1"># Apply dilation twice to fill up small voids</span>
+    <span class="k">for</span> <span class="n">_</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">2</span><span class="p">):</span>
+        <span class="n">img</span> <span class="o">=</span> <span class="n">ndimage</span><span class="o">.</span><span class="n">binary_dilation</span><span class="p">(</span><span class="n">img</span><span class="p">)</span>
+    <span class="k">return</span> <span class="n">util</span><span class="o">.</span><span class="n">img_as_int</span><span class="p">(</span><span class="n">img</span><span class="p">)</span>
+
+
+<span class="n">frames</span> <span class="o">=</span> <span class="n">preprocess_foam</span><span class="p">(</span><span class="n">pims</span><span class="o">.</span><span class="n">open</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">datapath</span><span class="p">,</span> <span class="n">prefix</span> <span class="o">+</span> <span class="s1">'*.tif'</span><span class="p">)))</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">frames</span><span class="p">[</span><span class="n">id_example</span><span class="p">]);</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedImage jp-OutputArea-output" tabindex="0">
+<img alt="No description has been provided for this image" class="" 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+<h2 id="Custom-feature-detection">Custom feature detection<a class="anchor-link" href="#Custom-feature-detection">¶</a></h2>
+</div>
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+</div>
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+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>Our features are the bubbles represented by the small black areas surrounded by white edges. Note that the black area at  the bottom is the liquid should not be considered as a feature. We use again scikit-image with the labeling function to detect the bubbles. The function returns several values such as the positon, the mean intensity, the area, the excentricity, etc. that can be used to remove false-postive labels. In our example, we must choose smart criterions because the bubble size is clearly different on the top and on the bottom.</p>
+<p>We make a test on one picture first to seek and validate our criterions. We use matplotlib to draw rectangles around each feature.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [6]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="kn">from</span> <span class="nn">skimage.measure</span> <span class="kn">import</span> <span class="n">label</span><span class="p">,</span> <span class="n">regionprops</span>
+<span class="kn">import</span> <span class="nn">matplotlib.patches</span> <span class="k">as</span> <span class="nn">mpatches</span>
+
+<span class="n">img_example</span> <span class="o">=</span> <span class="n">frames</span><span class="p">[</span><span class="n">id_example</span><span class="p">]</span>
+
+<span class="c1"># Label elements on the picture</span>
+<span class="c1"># Background is white</span>
+<span class="n">white</span> <span class="o">=</span> <span class="n">util</span><span class="o">.</span><span class="n">dtype_limits</span><span class="p">(</span><span class="n">img_example</span><span class="p">)[</span><span class="mi">1</span><span class="p">]</span>
+<span class="n">label_image</span><span class="p">,</span> <span class="n">number_of_labels</span> <span class="o">=</span> <span class="n">label</span><span class="p">(</span><span class="n">img_example</span><span class="p">,</span> <span class="n">background</span><span class="o">=</span><span class="n">white</span><span class="p">,</span> <span class="n">return_num</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">"Found </span><span class="si">{</span><span class="n">number_of_labels</span><span class="si">}</span><span class="s2"> features"</span><span class="p">)</span>
+
+<span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="n">ncols</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">nrows</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">12</span><span class="p">,</span> <span class="mi">12</span><span class="p">))</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">img_example</span><span class="p">)</span>
+<span class="k">for</span> <span class="n">region</span> <span class="ow">in</span> <span class="n">regionprops</span><span class="p">(</span><span class="n">label_image</span><span class="p">,</span> <span class="n">intensity_image</span><span class="o">=</span><span class="n">img_example</span><span class="p">):</span>
+    <span class="c1"># Everywhere, skip small and large areas</span>
+    <span class="k">if</span> <span class="n">region</span><span class="o">.</span><span class="n">area</span> <span class="o">&lt;</span> <span class="mi">5</span> <span class="ow">or</span> <span class="n">region</span><span class="o">.</span><span class="n">area</span> <span class="o">&gt;</span> <span class="mi">800</span><span class="p">:</span>
+        <span class="k">continue</span>
+    <span class="c1"># On the top of the image, </span>
+    <span class="c1"># skip small area with a second threshold</span>
+    <span class="k">if</span> <span class="n">region</span><span class="o">.</span><span class="n">centroid</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">&lt;</span> <span class="mi">260</span> <span class="ow">and</span> <span class="n">region</span><span class="o">.</span><span class="n">area</span> <span class="o">&lt;</span> <span class="mi">80</span><span class="p">:</span>
+        <span class="k">continue</span>
+    <span class="c1"># Draw rectangle on the remaining regions</span>
+    <span class="n">minr</span><span class="p">,</span> <span class="n">minc</span><span class="p">,</span> <span class="n">maxr</span><span class="p">,</span> <span class="n">maxc</span> <span class="o">=</span> <span class="n">region</span><span class="o">.</span><span class="n">bbox</span>
+    <span class="n">rect</span> <span class="o">=</span> <span class="n">mpatches</span><span class="o">.</span><span class="n">Rectangle</span><span class="p">((</span><span class="n">minc</span><span class="p">,</span> <span class="n">minr</span><span class="p">),</span> <span class="n">maxc</span> <span class="o">-</span> <span class="n">minc</span><span class="p">,</span> <span class="n">maxr</span> <span class="o">-</span> <span class="n">minr</span><span class="p">,</span>
+                              <span class="n">fill</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">edgecolor</span><span class="o">=</span><span class="s1">'red'</span><span class="p">,</span> <span class="n">linewidth</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
+
+    <span class="n">ax</span><span class="o">.</span><span class="n">add_patch</span><span class="p">(</span><span class="n">rect</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>Found 401 features
+</pre>
+</div>
+</div>
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedImage jp-OutputArea-output" tabindex="0">
+<img alt="No description has been provided for this image" class="" 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"/>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>Now, we use this algorithm on each picture of the stack. The features are stored in a pandas DataFrame [2].</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [7]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">features</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">()</span>
+<span class="k">for</span> <span class="n">num</span><span class="p">,</span> <span class="n">img</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">frames</span><span class="p">):</span>
+    <span class="n">white</span> <span class="o">=</span> <span class="n">util</span><span class="o">.</span><span class="n">dtype_limits</span><span class="p">(</span><span class="n">img_example</span><span class="p">)[</span><span class="mi">1</span><span class="p">]</span>
+    <span class="n">label_image</span> <span class="o">=</span> <span class="n">label</span><span class="p">(</span><span class="n">img</span><span class="p">,</span> <span class="n">background</span><span class="o">=</span><span class="n">white</span><span class="p">)</span>
+    <span class="k">for</span> <span class="n">region</span> <span class="ow">in</span> <span class="n">regionprops</span><span class="p">(</span><span class="n">label_image</span><span class="p">,</span> <span class="n">intensity_image</span><span class="o">=</span><span class="n">img</span><span class="p">):</span>
+        <span class="c1"># Everywhere, skip small and large areas</span>
+        <span class="k">if</span> <span class="n">region</span><span class="o">.</span><span class="n">area</span> <span class="o">&lt;</span> <span class="mi">5</span> <span class="ow">or</span> <span class="n">region</span><span class="o">.</span><span class="n">area</span> <span class="o">&gt;</span> <span class="mi">800</span><span class="p">:</span>
+            <span class="k">continue</span>
+        <span class="c1"># On the top of the image, </span>
+        <span class="c1"># skip small area with a second threshold</span>
+        <span class="k">if</span> <span class="n">region</span><span class="o">.</span><span class="n">centroid</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">&lt;</span> <span class="mi">260</span> <span class="ow">and</span> <span class="n">region</span><span class="o">.</span><span class="n">area</span> <span class="o">&lt;</span> <span class="mi">80</span><span class="p">:</span>
+            <span class="k">continue</span>
+        <span class="c1"># Store features which survived to the criterions</span>
+        <span class="n">row</span> <span class="o">=</span> <span class="p">[{</span><span class="s1">'y'</span><span class="p">:</span> <span class="n">region</span><span class="o">.</span><span class="n">centroid</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span>
+                <span class="s1">'x'</span><span class="p">:</span> <span class="n">region</span><span class="o">.</span><span class="n">centroid</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span>
+                <span class="s1">'frame'</span><span class="p">:</span> <span class="n">num</span><span class="p">,</span>
+                <span class="p">},]</span>
+        <span class="n">features</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">concat</span><span class="p">([</span><span class="n">features</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">row</span><span class="p">)],</span> <span class="n">ignore_index</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>We can also use 'annotate' provided with trackpy to display the features which will be track in the next step.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [8]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">tp</span><span class="o">.</span><span class="n">annotate</span><span class="p">(</span><span class="n">features</span><span class="p">[</span><span class="n">features</span><span class="o">.</span><span class="n">frame</span><span class="o">==</span><span class="p">(</span><span class="n">id_example</span><span class="o">+</span><span class="mi">1</span><span class="p">)],</span> <span class="n">img_example</span><span class="p">);</span>
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"/>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="Bubble-tracking">Bubble tracking<a class="anchor-link" href="#Bubble-tracking">¶</a></h2>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>As for particle tracking, this step links the successive positions of each feature. We superimpose the trajectories with the first picture to check their consistency.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [9]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">search_range</span> <span class="o">=</span> <span class="mi">11</span>
+<span class="n">t</span> <span class="o">=</span> <span class="n">tp</span><span class="o">.</span><span class="n">link_df</span><span class="p">(</span><span class="n">features</span><span class="p">,</span> <span class="n">search_range</span><span class="p">,</span> <span class="n">memory</span><span class="o">=</span><span class="mi">5</span><span class="p">)</span>
+<span class="n">tp</span><span class="o">.</span><span class="n">plot_traj</span><span class="p">(</span><span class="n">t</span><span class="p">,</span> <span class="n">superimpose</span><span class="o">=</span><span class="n">img</span><span class="p">);</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>Frame 8: 365 trajectories present.
+</pre>
+</div>
+</div>
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedImage jp-OutputArea-output" tabindex="0">
+<img alt="No description has been provided for this image" class="" 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"/>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [10]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">unstacked</span> <span class="o">=</span> <span class="n">t</span><span class="o">.</span><span class="n">set_index</span><span class="p">([</span><span class="s1">'frame'</span><span class="p">,</span> <span class="s1">'particle'</span><span class="p">])</span><span class="o">.</span><span class="n">unstack</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="Velocity-field">Velocity field<a class="anchor-link" href="#Velocity-field">¶</a></h2>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h3 id="Step-1:-calculation">Step 1: calculation<a class="anchor-link" href="#Step-1:-calculation">¶</a></h3>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>With the position of the center of mass of each bubble, we can calculate the velocity vector.</p>
+<p>Here is a simple method that is fast enough for these data:</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [11]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">data</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">()</span>
+<span class="k">for</span> <span class="n">item</span> <span class="ow">in</span> <span class="nb">set</span><span class="p">(</span><span class="n">t</span><span class="o">.</span><span class="n">particle</span><span class="p">):</span>
+    <span class="n">sub</span> <span class="o">=</span> <span class="n">t</span><span class="p">[</span><span class="n">t</span><span class="o">.</span><span class="n">particle</span><span class="o">==</span><span class="n">item</span><span class="p">]</span>
+    <span class="n">dvx</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">diff</span><span class="p">(</span><span class="n">sub</span><span class="o">.</span><span class="n">x</span><span class="p">)</span>
+    <span class="n">dvy</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">diff</span><span class="p">(</span><span class="n">sub</span><span class="o">.</span><span class="n">y</span><span class="p">)</span>
+    <span class="k">for</span> <span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">dx</span><span class="p">,</span> <span class="n">dy</span><span class="p">,</span> <span class="n">frame</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="n">sub</span><span class="o">.</span><span class="n">x</span><span class="p">[:</span><span class="o">-</span><span class="mi">1</span><span class="p">],</span> <span class="n">sub</span><span class="o">.</span><span class="n">y</span><span class="p">[:</span><span class="o">-</span><span class="mi">1</span><span class="p">],</span> <span class="n">dvx</span><span class="p">,</span> <span class="n">dvy</span><span class="p">,</span> <span class="n">sub</span><span class="o">.</span><span class="n">frame</span><span class="p">[:</span><span class="o">-</span><span class="mi">1</span><span class="p">],):</span>
+        <span class="n">row</span> <span class="o">=</span> <span class="p">[{</span><span class="s1">'dx'</span><span class="p">:</span> <span class="n">dx</span><span class="p">,</span> 
+                <span class="s1">'dy'</span><span class="p">:</span> <span class="n">dy</span><span class="p">,</span> 
+                <span class="s1">'x'</span><span class="p">:</span> <span class="n">x</span><span class="p">,</span>
+                <span class="s1">'y'</span><span class="p">:</span> <span class="n">y</span><span class="p">,</span>
+                <span class="s1">'frame'</span><span class="p">:</span> <span class="n">frame</span><span class="p">,</span>
+                <span class="s1">'particle'</span><span class="p">:</span> <span class="n">item</span><span class="p">,</span>
+              <span class="p">}]</span>
+        <span class="n">data</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">concat</span><span class="p">([</span><span class="n">data</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">row</span><span class="p">)],</span> <span class="n">ignore_index</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>Here is a more efficient method, <a href="https://github.com/soft-matter/trackpy/issues/524">contributed separately</a> by trackpy user <a href="https://github.com/Thefalas">Thefalas</a>, for doing the same thing. It is a little faster for these data, but is a much better choice if you have a larger data set:</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [12]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">col_names</span> <span class="o">=</span> <span class="p">[</span><span class="s1">'dx'</span><span class="p">,</span> <span class="s1">'dy'</span><span class="p">,</span> <span class="s1">'x'</span><span class="p">,</span> <span class="s1">'y'</span><span class="p">,</span> <span class="s1">'frame'</span><span class="p">,</span> <span class="s1">'particle'</span><span class="p">]</span>
+<span class="c1"># Creating an empty dataframe to store results</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">(</span><span class="n">shape</span><span class="o">=</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">6</span><span class="p">),</span> <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">int64</span><span class="p">),</span> <span class="n">columns</span><span class="o">=</span><span class="n">col_names</span><span class="p">)</span>
+    
+<span class="k">for</span> <span class="n">item</span> <span class="ow">in</span> <span class="nb">set</span><span class="p">(</span><span class="n">t</span><span class="o">.</span><span class="n">particle</span><span class="p">):</span>      
+        <span class="n">sub</span> <span class="o">=</span> <span class="n">t</span><span class="p">[</span><span class="n">t</span><span class="o">.</span><span class="n">particle</span><span class="o">==</span><span class="n">item</span><span class="p">]</span>
+        
+        <span class="k">if</span> <span class="n">sub</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">&lt;=</span><span class="mi">2</span><span class="p">:</span>
+            <span class="c1"># Cases in which particle only has 1 or 2 rows of data</span>
+            <span class="k">pass</span>
+        <span class="k">else</span><span class="p">:</span>    
+            <span class="c1">#print('Deriving velocities for particle:', str(item))</span>
+            <span class="n">dvx</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">gradient</span><span class="p">(</span><span class="n">sub</span><span class="o">.</span><span class="n">x</span><span class="p">),</span> <span class="n">columns</span><span class="o">=</span><span class="p">[</span><span class="s1">'dx'</span><span class="p">,])</span>
+            <span class="n">dvy</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">gradient</span><span class="p">(</span><span class="n">sub</span><span class="o">.</span><span class="n">y</span><span class="p">),</span> <span class="n">columns</span><span class="o">=</span><span class="p">[</span><span class="s1">'dy'</span><span class="p">,])</span>
+        
+            <span class="n">new_df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">concat</span><span class="p">((</span><span class="n">dvx</span><span class="p">,</span> <span class="n">dvy</span><span class="p">,</span> <span class="n">sub</span><span class="o">.</span><span class="n">x</span><span class="o">.</span><span class="n">reset_index</span><span class="p">(</span><span class="n">drop</span><span class="o">=</span><span class="kc">True</span><span class="p">),</span> <span class="n">sub</span><span class="o">.</span><span class="n">y</span><span class="o">.</span><span class="n">reset_index</span><span class="p">(</span><span class="n">drop</span><span class="o">=</span><span class="kc">True</span><span class="p">),</span>
+                                <span class="n">sub</span><span class="o">.</span><span class="n">frame</span><span class="o">.</span><span class="n">reset_index</span><span class="p">(</span><span class="n">drop</span><span class="o">=</span><span class="kc">True</span><span class="p">),</span> <span class="n">sub</span><span class="o">.</span><span class="n">particle</span><span class="o">.</span><span class="n">reset_index</span><span class="p">(</span><span class="n">drop</span><span class="o">=</span><span class="kc">True</span><span class="p">)),</span>
+                                <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">names</span><span class="o">=</span><span class="n">col_names</span><span class="p">,</span> <span class="n">sort</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
+            <span class="n">data</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">concat</span><span class="p">((</span><span class="n">data</span><span class="p">,</span> <span class="n">new_df</span><span class="p">),</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
+    
+<span class="c1"># This is to get rid of the first 'np.zeros' row and to reset indexes</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">reset_index</span><span class="p">(</span><span class="n">drop</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
+<span class="n">data</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">reset_index</span><span class="p">(</span><span class="n">drop</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h3 id="Step-2:-rendering">Step 2: rendering<a class="anchor-link" href="#Step-2:-rendering">¶</a></h3>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>We now display the picture and plot the velocity field on top with matplotlib [3]. Here, we plot only the first picture for illustration purposes.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [13]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="kn">from</span> <span class="nn">matplotlib.pyplot</span> <span class="kn">import</span> <span class="n">quiver</span>
+
+<span class="n">i</span> <span class="o">=</span> <span class="mi">0</span>
+<span class="n">d</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="n">data</span><span class="o">.</span><span class="n">frame</span><span class="o">==</span><span class="n">i</span><span class="p">]</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">rawframes</span><span class="p">[</span><span class="n">i</span><span class="p">])</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">quiver</span><span class="p">(</span><span class="n">d</span><span class="o">.</span><span class="n">x</span><span class="p">,</span> <span class="n">d</span><span class="o">.</span><span class="n">y</span><span class="p">,</span> <span class="n">d</span><span class="o">.</span><span class="n">dx</span><span class="p">,</span> <span class="o">-</span><span class="n">d</span><span class="o">.</span><span class="n">dy</span><span class="p">,</span> 
+           <span class="n">pivot</span><span class="o">=</span><span class="s1">'middle'</span><span class="p">,</span> <span class="n">headwidth</span><span class="o">=</span><span class="mi">4</span><span class="p">,</span> <span class="n">headlength</span><span class="o">=</span><span class="mi">6</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">'red'</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">axis</span><span class="p">(</span><span class="s1">'off'</span><span class="p">);</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedImage jp-OutputArea-output" tabindex="0">
+<img alt="No description has been provided for this image" class="" 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"/>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
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+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="About-this-work">About this work<a class="anchor-link" href="#About-this-work">¶</a></h2>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
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+<p>This presentation is based on a scientific work which aims to understand the damping of a thin layer of foam placed on the top of an oscillating liquid bath. The main idea of this work is presented in the reference [4] and the scientific results are in reference [5]. This work has been performed at Princeton University (USA) by all the co-authors and this presentation has been written by F. Boulogne.</p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
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+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="References">References<a class="anchor-link" href="#References">¶</a></h2>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
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+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>[1] Stéfan van der Walt, Johannes L. Schönberger, Juan Nunez-Iglesias, François Boulogne, Joshua D. Warner, Neil Yager, Emmanuelle Gouillart, Tony Yu and the scikit-image contributors. scikit-image: Image processing in Python. PeerJ 2:e453, 2014. <a href="http://dx.doi.org/10.7717/peerj.453">http://dx.doi.org/10.7717/peerj.453</a></p>
+<p>[2] Wes Mckinney. Data structures for statistical computing in Python. In : Proc. 9th Python Sci. Conf. 2010. p. 51-56.</p>
+<p>[3] Hunter, John D. Matplotlib: A 2D graphics environment. Computing in Science &amp; Engineering, 2007, vol. 9, no 3, p. 90-95.</p>
+<p>[4] J. Cappello, A. Sauret, F. Boulogne, E. Dressaire and H.A. Stone, Journal of Visualization, 18, 269-271 (2015). <a href="https://doi.org/10.1007/s12650-014-0250-1">https://doi.org/10.1007/s12650-014-0250-1</a></p>
+<p>[5] A. Sauret, F. Boulogne, J. Cappello, E. Dressaire and H.A. Stone, Physics of Fluids, 27 (2015). <a href="https://doi.org/10.1063/1.4907048">https://doi.org/10.1063/1.4907048</a></p>
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+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul>
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1 current"><a class="current reference internal" href="#">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
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+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">on-disk</a></li>
+</ul>
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+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="on-disk">
+<h1>on-disk<a class="headerlink" href="#on-disk" title="Permalink to this heading">¶</a></h1>
+<!DOCTYPE html>
+
+<html lang="en">
+<head><meta charset="utf-8"/>
+<meta content="width=device-width, initial-scale=1.0" name="viewport"/>
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+  padding: 0;
+  display: flex;
+  flex: 1 1 auto;
+  list-style-type: none;
+}
+
+.lm-TabBar[data-orientation='horizontal'] > .lm-TabBar-content {
+  flex-direction: row;
+}
+
+.lm-TabBar[data-orientation='vertical'] > .lm-TabBar-content {
+  flex-direction: column;
+}
+
+.lm-TabBar-tab {
+  display: flex;
+  flex-direction: row;
+  box-sizing: border-box;
+  overflow: hidden;
+  touch-action: none; /* Disable native Drag/Drop */
+}
+
+.lm-TabBar-tabIcon,
+.lm-TabBar-tabCloseIcon {
+  flex: 0 0 auto;
+}
+
+.lm-TabBar-tabLabel {
+  flex: 1 1 auto;
+  overflow: hidden;
+  white-space: nowrap;
+}
+
+.lm-TabBar-tabInput {
+  user-select: all;
+  width: 100%;
+  box-sizing: border-box;
+}
+
+.lm-TabBar-tab.lm-mod-hidden {
+  display: none !important;
+}
+
+.lm-TabBar-addButton.lm-mod-hidden {
+  display: none !important;
+}
+
+.lm-TabBar.lm-mod-dragging .lm-TabBar-tab {
+  position: relative;
+}
+
+.lm-TabBar.lm-mod-dragging[data-orientation='horizontal'] .lm-TabBar-tab {
+  left: 0;
+  transition: left 150ms ease;
+}
+
+.lm-TabBar.lm-mod-dragging[data-orientation='vertical'] .lm-TabBar-tab {
+  top: 0;
+  transition: top 150ms ease;
+}
+
+.lm-TabBar.lm-mod-dragging .lm-TabBar-tab.lm-mod-dragging {
+  transition: none;
+}
+
+.lm-TabBar-tabLabel .lm-TabBar-tabInput {
+  user-select: all;
+  width: 100%;
+  box-sizing: border-box;
+  background: inherit;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-TabPanel-tabBar {
+  z-index: 1;
+}
+
+.lm-TabPanel-stackedPanel {
+  z-index: 0;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Collapse {
+  display: flex;
+  flex-direction: column;
+  align-items: stretch;
+}
+
+.jp-Collapse-header {
+  padding: 1px 12px;
+  background-color: var(--jp-layout-color1);
+  border-bottom: solid var(--jp-border-width) var(--jp-border-color2);
+  color: var(--jp-ui-font-color1);
+  cursor: pointer;
+  display: flex;
+  align-items: center;
+  font-size: var(--jp-ui-font-size0);
+  font-weight: 600;
+  text-transform: uppercase;
+  user-select: none;
+}
+
+.jp-Collapser-icon {
+  height: 16px;
+}
+
+.jp-Collapse-header-collapsed .jp-Collapser-icon {
+  transform: rotate(-90deg);
+  margin: auto 0;
+}
+
+.jp-Collapser-title {
+  line-height: 25px;
+}
+
+.jp-Collapse-contents {
+  padding: 0 12px;
+  background-color: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  overflow: auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/* This file was auto-generated by ensureUiComponents() in @jupyterlab/buildutils */
+
+/**
+ * (DEPRECATED) Support for consuming icons as CSS background images
+ */
+
+/* Icons urls */
+
+:root {
+  --jp-icon-add-above: url(data:image/svg+xml;base64,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);
+  --jp-icon-add-below: url(data:image/svg+xml;base64,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);
+  --jp-icon-add: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE5IDEzaC02djZoLTJ2LTZINXYtMmg2VjVoMnY2aDZ2MnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-bell: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE2IDE2IiB2ZXJzaW9uPSIxLjEiPgogICA8cGF0aCBjbGFzcz0ianAtaWNvbjIganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjMzMzMzMzIgogICAgICBkPSJtOCAwLjI5Yy0xLjQgMC0yLjcgMC43My0zLjYgMS44LTEuMiAxLjUtMS40IDMuNC0xLjUgNS4yLTAuMTggMi4yLTAuNDQgNC0yLjMgNS4zbDAuMjggMS4zaDVjMC4wMjYgMC42NiAwLjMyIDEuMSAwLjcxIDEuNSAwLjg0IDAuNjEgMiAwLjYxIDIuOCAwIDAuNTItMC40IDAuNi0xIDAuNzEtMS41aDVsMC4yOC0xLjNjLTEuOS0wLjk3LTIuMi0zLjMtMi4zLTUuMy0wLjEzLTEuOC0wLjI2LTMuNy0xLjUtNS4yLTAuODUtMS0yLjItMS44LTMuNi0xLjh6bTAgMS40YzAuODggMCAxLjkgMC41NSAyLjUgMS4zIDAuODggMS4xIDEuMSAyLjcgMS4yIDQuNCAwLjEzIDEuNyAwLjIzIDMuNiAxLjMgNS4yaC0xMGMxLjEtMS42IDEuMi0zLjQgMS4zLTUuMiAwLjEzLTEuNyAwLjMtMy4zIDEuMi00LjQgMC41OS0wLjcyIDEuNi0xLjMgMi41LTEuM3ptLTAuNzQgMTJoMS41Yy0wLjAwMTUgMC4yOCAwLjAxNSAwLjc5LTAuNzQgMC43OS0wLjczIDAuMDAxNi0wLjcyLTAuNTMtMC43NC0wLjc5eiIgLz4KPC9zdmc+Cg==);
+  --jp-icon-bug-dot: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjQiIGhlaWdodD0iMjQiIHZpZXdCb3g9IjAgMCAyNCAyNCIgZmlsbD0ibm9uZSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiPgogICAgICAgIDxwYXRoIGZpbGwtcnVsZT0iZXZlbm9kZCIgY2xpcC1ydWxlPSJldmVub2RkIiBkPSJNMTcuMTkgOEgyMFYxMEgxNy45MUMxNy45NiAxMC4zMyAxOCAxMC42NiAxOCAxMVYxMkgyMFYxNEgxOC41SDE4VjE0LjAyNzVDMTUuNzUgMTQuMjc2MiAxNCAxNi4xODM3IDE0IDE4LjVDMTQgMTkuMjA4IDE0LjE2MzUgMTkuODc3OSAxNC40NTQ5IDIwLjQ3MzlDMTMuNzA2MyAyMC44MTE3IDEyLjg3NTcgMjEgMTIgMjFDOS43OCAyMSA3Ljg1IDE5Ljc5IDYuODEgMThINFYxNkg2LjA5QzYuMDQgMTUuNjcgNiAxNS4zNCA2IDE1VjE0SDRWMTJINlYxMUM2IDEwLjY2IDYuMDQgMTAuMzMgNi4wOSAxMEg0VjhINi44MUM3LjI2IDcuMjIgNy44OCA2LjU1IDguNjIgNi4wNEw3IDQuNDFMOC40MSAzTDEwLjU5IDUuMTdDMTEuMDQgNS4wNiAxMS41MSA1IDEyIDVDMTIuNDkgNSAxMi45NiA1LjA2IDEzLjQyIDUuMTdMMTUuNTkgM0wxNyA0LjQxTDE1LjM3IDYuMDRDMTYuMTIgNi41NSAxNi43NCA3LjIyIDE3LjE5IDhaTTEwIDE2SDE0VjE0SDEwVjE2Wk0xMCAxMkgxNFYxMEgxMFYxMloiIGZpbGw9IiM2MTYxNjEiLz4KICAgICAgICA8cGF0aCBkPSJNMjIgMTguNUMyMiAyMC40MzMgMjAuNDMzIDIyIDE4LjUgMjJDMTYuNTY3IDIyIDE1IDIwLjQzMyAxNSAxOC41QzE1IDE2LjU2NyAxNi41NjcgMTUgMTguNSAxNUMyMC40MzMgMTUgMjIgMTYuNTY3IDIyIDE4LjVaIiBmaWxsPSIjNjE2MTYxIi8+CiAgICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-bug: url(data:image/svg+xml;base64,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);
+  --jp-icon-build: url(data:image/svg+xml;base64,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);
+  --jp-icon-caret-down-empty-thin: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwIDIwIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwb2x5Z29uIGNsYXNzPSJzdDEiIHBvaW50cz0iOS45LDEzLjYgMy42LDcuNCA0LjQsNi42IDkuOSwxMi4yIDE1LjQsNi43IDE2LjEsNy40ICIvPgoJPC9nPgo8L3N2Zz4K);
+  --jp-icon-caret-down-empty: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik01LjIsNS45TDksOS43bDMuOC0zLjhsMS4yLDEuMmwtNC45LDVsLTQuOS01TDUuMiw1Ljl6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-caret-down: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik01LjIsNy41TDksMTEuMmwzLjgtMy44SDUuMnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-caret-left: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwYXRoIGQ9Ik0xMC44LDEyLjhMNy4xLDlsMy44LTMuOGwwLDcuNkgxMC44eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-caret-right: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik03LjIsNS4yTDEwLjksOWwtMy44LDMuOFY1LjJINy4yeiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-caret-up-empty-thin: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwIDIwIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwb2x5Z29uIGNsYXNzPSJzdDEiIHBvaW50cz0iMTUuNCwxMy4zIDkuOSw3LjcgNC40LDEzLjIgMy42LDEyLjUgOS45LDYuMyAxNi4xLDEyLjYgIi8+Cgk8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-caret-up: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwYXRoIGQ9Ik01LjIsMTAuNUw5LDYuOGwzLjgsMy44SDUuMnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-case-sensitive: url(data:image/svg+xml;base64,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);
+  --jp-icon-check: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIj4KICAgIDxwYXRoIGQ9Ik05IDE2LjE3TDQuODMgMTJsLTEuNDIgMS40MUw5IDE5IDIxIDdsLTEuNDEtMS40MXoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-circle-empty: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyIDJDNi40NyAyIDIgNi40NyAyIDEyczQuNDcgMTAgMTAgMTAgMTAtNC40NyAxMC0xMFMxNy41MyAyIDEyIDJ6bTAgMThjLTQuNDEgMC04LTMuNTktOC04czMuNTktOCA4LTggOCAzLjU5IDggOC0zLjU5IDgtOCA4eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-circle: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMTggMTgiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPGNpcmNsZSBjeD0iOSIgY3k9IjkiIHI9IjgiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-clear: url(data:image/svg+xml;base64,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);
+  --jp-icon-close: url(data:image/svg+xml;base64,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);
+  --jp-icon-code-check: url(data:image/svg+xml;base64,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);
+  --jp-icon-code: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjIiIGhlaWdodD0iMjIiIHZpZXdCb3g9IjAgMCAyOCAyOCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CgkJPHBhdGggZD0iTTExLjQgMTguNkw2LjggMTRMMTEuNCA5LjRMMTAgOEw0IDE0TDEwIDIwTDExLjQgMTguNlpNMTYuNiAxOC42TDIxLjIgMTRMMTYuNiA5LjRMMTggOEwyNCAxNEwxOCAyMEwxNi42IDE4LjZWMTguNloiLz4KCTwvZz4KPC9zdmc+Cg==);
+  --jp-icon-collapse-all: url(data:image/svg+xml;base64,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);
+  --jp-icon-console: url(data:image/svg+xml;base64,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);
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+  --jp-icon-copyright: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIGVuYWJsZS1iYWNrZ3JvdW5kPSJuZXcgMCAwIDI0IDI0IiBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCI+CiAgPGcgY2xhc3M9ImpwLWljb24zIiBmaWxsPSIjNjE2MTYxIj4KICAgIDxwYXRoIGQ9Ik0xMS44OCw5LjE0YzEuMjgsMC4wNiwxLjYxLDEuMTUsMS42MywxLjY2aDEuNzljLTAuMDgtMS45OC0xLjQ5LTMuMTktMy40NS0zLjE5QzkuNjQsNy42MSw4LDksOCwxMi4xNCBjMCwxLjk0LDAuOTMsNC4yNCwzLjg0LDQuMjRjMi4yMiwwLDMuNDEtMS42NSwzLjQ0LTIuOTVoLTEuNzljLTAuMDMsMC41OS0wLjQ1LDEuMzgtMS42MywxLjQ0QzEwLjU1LDE0LjgzLDEwLDEzLjgxLDEwLDEyLjE0IEMxMCw5LjI1LDExLjI4LDkuMTYsMTEuODgsOS4xNHogTTEyLDJDNi40OCwyLDIsNi40OCwyLDEyczQuNDgsMTAsMTAsMTBzMTAtNC40OCwxMC0xMFMxNy41MiwyLDEyLDJ6IE0xMiwyMGMtNC40MSwwLTgtMy41OS04LTggczMuNTktOCw4LThzOCwzLjU5LDgsOFMxNi40MSwyMCwxMiwyMHoiLz4KICA8L2c+Cjwvc3ZnPgo=);
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+  --jp-icon-delete: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAyNCAyNCIgd2lkdGg9IjE2cHgiIGhlaWdodD0iMTZweCI+CiAgICA8cGF0aCBkPSJNMCAwaDI0djI0SDB6IiBmaWxsPSJub25lIiAvPgogICAgPHBhdGggY2xhc3M9ImpwLWljb24zIiBmaWxsPSIjNjI2MjYyIiBkPSJNNiAxOWMwIDEuMS45IDIgMiAyaDhjMS4xIDAgMi0uOSAyLTJWN0g2djEyek0xOSA0aC0zLjVsLTEtMWgtNWwtMSAxSDV2MmgxNFY0eiIgLz4KPC9zdmc+Cg==);
+  --jp-icon-download: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE5IDloLTRWM0g5djZINWw3IDcgNy03ek01IDE4djJoMTR2LTJINXoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-duplicate: url(data:image/svg+xml;base64,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);
+  --jp-icon-edit: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTMgMTcuMjVWMjFoMy43NUwxNy44MSA5Ljk0bC0zLjc1LTMuNzVMMyAxNy4yNXpNMjAuNzEgNy4wNGMuMzktLjM5LjM5LTEuMDIgMC0xLjQxbC0yLjM0LTIuMzRjLS4zOS0uMzktMS4wMi0uMzktMS40MSAwbC0xLjgzIDEuODMgMy43NSAzLjc1IDEuODMtMS44M3oiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-ellipses: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPGNpcmNsZSBjeD0iNSIgY3k9IjEyIiByPSIyIi8+CiAgICA8Y2lyY2xlIGN4PSIxMiIgY3k9IjEyIiByPSIyIi8+CiAgICA8Y2lyY2xlIGN4PSIxOSIgY3k9IjEyIiByPSIyIi8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-error: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KPGcgY2xhc3M9ImpwLWljb24zIiBmaWxsPSIjNjE2MTYxIj48Y2lyY2xlIGN4PSIxMiIgY3k9IjE5IiByPSIyIi8+PHBhdGggZD0iTTEwIDNoNHYxMmgtNHoiLz48L2c+CjxwYXRoIGZpbGw9Im5vbmUiIGQ9Ik0wIDBoMjR2MjRIMHoiLz4KPC9zdmc+Cg==);
+  --jp-icon-expand-all: url(data:image/svg+xml;base64,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);
+  --jp-icon-extension: url(data:image/svg+xml;base64,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);
+  --jp-icon-fast-forward: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIyNCIgaGVpZ2h0PSIyNCIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTQgMThsOC41LTZMNCA2djEyem05LTEydjEybDguNS02TDEzIDZ6Ii8+CiAgICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-file-upload: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTkgMTZoNnYtNmg0bC03LTctNyA3aDR6bS00IDJoMTR2Mkg1eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-file: url(data:image/svg+xml;base64,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);
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+  --jp-icon-filter-list: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEwIDE4aDR2LTJoLTR2MnpNMyA2djJoMThWNkgzem0zIDdoMTJ2LTJINnYyeiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-filter: url(data:image/svg+xml;base64,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);
+  --jp-icon-folder-favorite: url(data:image/svg+xml;base64,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);
+  --jp-icon-folder: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMTAgNEg0Yy0xLjEgMC0xLjk5LjktMS45OSAyTDIgMThjMCAxLjEuOSAyIDIgMmgxNmMxLjEgMCAyLS45IDItMlY4YzAtMS4xLS45LTItMi0yaC04bC0yLTJ6Ii8+Cjwvc3ZnPgo=);
+  --jp-icon-home: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIGhlaWdodD0iMjRweCIgdmlld0JveD0iMCAwIDI0IDI0IiB3aWR0aD0iMjRweCIgZmlsbD0iIzAwMDAwMCI+CiAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPjxwYXRoIGNsYXNzPSJqcC1pY29uMyBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xMCAyMHYtNmg0djZoNXYtOGgzTDEyIDMgMiAxMmgzdjh6Ii8+Cjwvc3ZnPgo=);
+  --jp-icon-html5: url(data:image/svg+xml;base64,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);
+  --jp-icon-image: url(data:image/svg+xml;base64,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);
+  --jp-icon-info: url(data:image/svg+xml;base64,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);
+  --jp-icon-inspector: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaW5zcGVjdG9yLWljb24tY29sb3IganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMjAgNEg0Yy0xLjEgMC0xLjk5LjktMS45OSAyTDIgMThjMCAxLjEuOSAyIDIgMmgxNmMxLjEgMCAyLS45IDItMlY2YzAtMS4xLS45LTItMi0yem0tNSAxNEg0di00aDExdjR6bTAtNUg0VjloMTF2NHptNSA1aC00VjloNHY5eiIvPgo8L3N2Zz4K);
+  --jp-icon-json: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtanNvbi1pY29uLWNvbG9yIGpwLWljb24tc2VsZWN0YWJsZSIgZmlsbD0iI0Y5QTgyNSI+CiAgICA8cGF0aCBkPSJNMjAuMiAxMS44Yy0xLjYgMC0xLjcuNS0xLjcgMSAwIC40LjEuOS4xIDEuMy4xLjUuMS45LjEgMS4zIDAgMS43LTEuNCAyLjMtMy41IDIuM2gtLjl2LTEuOWguNWMxLjEgMCAxLjQgMCAxLjQtLjggMC0uMyAwLS42LS4xLTEgMC0uNC0uMS0uOC0uMS0xLjIgMC0xLjMgMC0xLjggMS4zLTItMS4zLS4yLTEuMy0uNy0xLjMtMiAwLS40LjEtLjguMS0xLjIuMS0uNC4xLS43LjEtMSAwLS44LS40LS43LTEuNC0uOGgtLjVWNC4xaC45YzIuMiAwIDMuNS43IDMuNSAyLjMgMCAuNC0uMS45LS4xIDEuMy0uMS41LS4xLjktLjEgMS4zIDAgLjUuMiAxIDEuNyAxdjEuOHpNMS44IDEwLjFjMS42IDAgMS43LS41IDEuNy0xIDAtLjQtLjEtLjktLjEtMS4zLS4xLS41LS4xLS45LS4xLTEuMyAwLTEuNiAxLjQtMi4zIDMuNS0yLjNoLjl2MS45aC0uNWMtMSAwLTEuNCAwLTEuNC44IDAgLjMgMCAuNi4xIDEgMCAuMi4xLjYuMSAxIDAgMS4zIDAgMS44LTEuMyAyQzYgMTEuMiA2IDExLjcgNiAxM2MwIC40LS4xLjgtLjEgMS4yLS4xLjMtLjEuNy0uMSAxIDAgLjguMy44IDEuNC44aC41djEuOWgtLjljLTIuMSAwLTMuNS0uNi0zLjUtMi4zIDAtLjQuMS0uOS4xLTEuMy4xLS41LjEtLjkuMS0xLjMgMC0uNS0uMi0xLTEuNy0xdi0xLjl6Ii8+CiAgICA8Y2lyY2xlIGN4PSIxMSIgY3k9IjEzLjgiIHI9IjIuMSIvPgogICAgPGNpcmNsZSBjeD0iMTEiIGN5PSI4LjIiIHI9IjIuMSIvPgogIDwvZz4KPC9zdmc+Cg==);
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+  --jp-icon-jupyter-favicon: url(data:image/svg+xml;base64,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);
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+  --jp-icon-kernel: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGNsYXNzPSJqcC1pY29uMiIgZmlsbD0iIzYxNjE2MSIgZD0iTTE1IDlIOXY2aDZWOXptLTIgNGgtMnYtMmgydjJ6bTgtMlY5aC0yVjdjMC0xLjEtLjktMi0yLTJoLTJWM2gtMnYyaC0yVjNIOXYySDdjLTEuMSAwLTIgLjktMiAydjJIM3YyaDJ2MkgzdjJoMnYyYzAgMS4xLjkgMiAyIDJoMnYyaDJ2LTJoMnYyaDJ2LTJoMmMxLjEgMCAyLS45IDItMnYtMmgydi0yaC0ydi0yaDJ6bS00IDZIN1Y3aDEwdjEweiIvPgo8L3N2Zz4K);
+  --jp-icon-keyboard: url(data:image/svg+xml;base64,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);
+  --jp-icon-launch: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMzIgMzIiIHdpZHRoPSIzMiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIj4KICAgIDxwYXRoIGQ9Ik0yNiwyOEg2YTIuMDAyNywyLjAwMjcsMCwwLDEtMi0yVjZBMi4wMDI3LDIuMDAyNywwLDAsMSw2LDRIMTZWNkg2VjI2SDI2VjE2aDJWMjZBMi4wMDI3LDIuMDAyNywwLDAsMSwyNiwyOFoiLz4KICAgIDxwb2x5Z29uIHBvaW50cz0iMjAgMiAyMCA0IDI2LjU4NiA0IDE4IDEyLjU4NiAxOS40MTQgMTQgMjggNS40MTQgMjggMTIgMzAgMTIgMzAgMiAyMCAyIi8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-launcher: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMTkgMTlINVY1aDdWM0g1YTIgMiAwIDAwLTIgMnYxNGEyIDIgMCAwMDIgMmgxNGMxLjEgMCAyLS45IDItMnYtN2gtMnY3ek0xNCAzdjJoMy41OWwtOS44MyA5LjgzIDEuNDEgMS40MUwxOSA2LjQxVjEwaDJWM2gtN3oiLz4KPC9zdmc+Cg==);
+  --jp-icon-line-form: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGZpbGw9IndoaXRlIiBkPSJNNS44OCA0LjEyTDEzLjc2IDEybC03Ljg4IDcuODhMOCAyMmwxMC0xMEw4IDJ6Ii8+Cjwvc3ZnPgo=);
+  --jp-icon-link: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTMuOSAxMmMwLTEuNzEgMS4zOS0zLjEgMy4xLTMuMWg0VjdIN2MtMi43NiAwLTUgMi4yNC01IDVzMi4yNCA1IDUgNWg0di0xLjlIN2MtMS43MSAwLTMuMS0xLjM5LTMuMS0zLjF6TTggMTNoOHYtMkg4djJ6bTktNmgtNHYxLjloNGMxLjcxIDAgMy4xIDEuMzkgMy4xIDMuMXMtMS4zOSAzLjEtMy4xIDMuMWgtNFYxN2g0YzIuNzYgMCA1LTIuMjQgNS01cy0yLjI0LTUtNS01eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-list: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGNsYXNzPSJqcC1pY29uMiBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xOSA1djE0SDVWNWgxNG0xLjEtMkgzLjljLS41IDAtLjkuNC0uOS45djE2LjJjMCAuNC40LjkuOS45aDE2LjJjLjQgMCAuOS0uNS45LS45VjMuOWMwLS41LS41LS45LS45LS45ek0xMSA3aDZ2MmgtNlY3em0wIDRoNnYyaC02di0yem0wIDRoNnYyaC02ek03IDdoMnYySDd6bTAgNGgydjJIN3ptMCA0aDJ2Mkg3eiIvPgo8L3N2Zz4K);
+  --jp-icon-markdown: url(data:image/svg+xml;base64,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);
+  --jp-icon-move-down: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMTQiIGhlaWdodD0iMTQiIHZpZXdCb3g9IjAgMCAxNCAxNCIgZmlsbD0ibm9uZSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KPHBhdGggY2xhc3M9ImpwLWljb24zIiBkPSJNMTIuNDcxIDcuNTI4OTlDMTIuNzYzMiA3LjIzNjg0IDEyLjc2MzIgNi43NjMxNiAxMi40NzEgNi40NzEwMVY2LjQ3MTAxQzEyLjE3OSA2LjE3OTA1IDExLjcwNTcgNi4xNzg4NCAxMS40MTM1IDYuNDcwNTRMNy43NSAxMC4xMjc1VjEuNzVDNy43NSAxLjMzNTc5IDcuNDE0MjEgMSA3IDFWMUM2LjU4NTc5IDEgNi4yNSAxLjMzNTc5IDYuMjUgMS43NVYxMC4xMjc1TDIuNTk3MjYgNi40NjgyMkMyLjMwMzM4IDYuMTczODEgMS44MjY0MSA2LjE3MzU5IDEuNTMyMjYgNi40Njc3NFY2LjQ2Nzc0QzEuMjM4MyA2Ljc2MTcgMS4yMzgzIDcuMjM4MyAxLjUzMjI2IDcuNTMyMjZMNi4yOTI4OSAxMi4yOTI5QzYuNjgzNDIgMTIuNjgzNCA3LjMxNjU4IDEyLjY4MzQgNy43MDcxMSAxMi4yOTI5TDEyLjQ3MSA3LjUyODk5WiIgZmlsbD0iIzYxNjE2MSIvPgo8L3N2Zz4K);
+  --jp-icon-move-up: url(data:image/svg+xml;base64,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);
+  --jp-icon-new-folder: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTIwIDZoLThsLTItMkg0Yy0xLjExIDAtMS45OS44OS0xLjk5IDJMMiAxOGMwIDEuMTEuODkgMiAyIDJoMTZjMS4xMSAwIDItLjg5IDItMlY4YzAtMS4xMS0uODktMi0yLTJ6bS0xIDhoLTN2M2gtMnYtM2gtM3YtMmgzVjloMnYzaDN2MnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-not-trusted: url(data:image/svg+xml;base64,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);
+  --jp-icon-notebook: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtbm90ZWJvb2staWNvbi1jb2xvciBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiNFRjZDMDAiPgogICAgPHBhdGggZD0iTTE4LjcgMy4zdjE1LjRIMy4zVjMuM2gxNS40bTEuNS0xLjVIMS44djE4LjNoMTguM2wuMS0xOC4zeiIvPgogICAgPHBhdGggZD0iTTE2LjUgMTYuNWwtNS40LTQuMy01LjYgNC4zdi0xMWgxMXoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-numbering: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjIiIGhlaWdodD0iMjIiIHZpZXdCb3g9IjAgMCAyOCAyOCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CgkJPHBhdGggZD0iTTQgMTlINlYxOS41SDVWMjAuNUg2VjIxSDRWMjJIN1YxOEg0VjE5Wk01IDEwSDZWNkg0VjdINVYxMFpNNCAxM0g1LjhMNCAxNS4xVjE2SDdWMTVINS4yTDcgMTIuOVYxMkg0VjEzWk05IDdWOUgyM1Y3SDlaTTkgMjFIMjNWMTlIOVYyMVpNOSAxNUgyM1YxM0g5VjE1WiIvPgoJPC9nPgo8L3N2Zz4K);
+  --jp-icon-offline-bolt: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAyNCAyNCIgd2lkdGg9IjE2Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyIDIuMDJjLTUuNTEgMC05Ljk4IDQuNDctOS45OCA5Ljk4czQuNDcgOS45OCA5Ljk4IDkuOTggOS45OC00LjQ3IDkuOTgtOS45OFMxNy41MSAyLjAyIDEyIDIuMDJ6TTExLjQ4IDIwdi02LjI2SDhMMTMgNHY2LjI2aDMuMzVMMTEuNDggMjB6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-palette: url(data:image/svg+xml;base64,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);
+  --jp-icon-paste: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTE5IDJoLTQuMThDMTQuNC44NCAxMy4zIDAgMTIgMGMtMS4zIDAtMi40Ljg0LTIuODIgMkg1Yy0xLjEgMC0yIC45LTIgMnYxNmMwIDEuMS45IDIgMiAyaDE0YzEuMSAwIDItLjkgMi0yVjRjMC0xLjEtLjktMi0yLTJ6bS03IDBjLjU1IDAgMSAuNDUgMSAxcy0uNDUgMS0xIDEtMS0uNDUtMS0xIC40NS0xIDEtMXptNyAxOEg1VjRoMnYzaDEwVjRoMnYxNnoiLz4KICAgIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-pdf: url(data:image/svg+xml;base64,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);
+  --jp-icon-python: url(data:image/svg+xml;base64,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);
+  --jp-icon-r-kernel: url(data:image/svg+xml;base64,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);
+  --jp-icon-react: url(data:image/svg+xml;base64,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);
+  --jp-icon-redo: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIGhlaWdodD0iMjQiIHZpZXdCb3g9IjAgMCAyNCAyNCIgd2lkdGg9IjE2Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgICA8cGF0aCBkPSJNMCAwaDI0djI0SDB6IiBmaWxsPSJub25lIi8+PHBhdGggZD0iTTE4LjQgMTAuNkMxNi41NSA4Ljk5IDE0LjE1IDggMTEuNSA4Yy00LjY1IDAtOC41OCAzLjAzLTkuOTYgNy4yMkwzLjkgMTZjMS4wNS0zLjE5IDQuMDUtNS41IDcuNi01LjUgMS45NSAwIDMuNzMuNzIgNS4xMiAxLjg4TDEzIDE2aDlWN2wtMy42IDMuNnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-refresh: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTkgMTMuNWMtMi40OSAwLTQuNS0yLjAxLTQuNS00LjVTNi41MSA0LjUgOSA0LjVjMS4yNCAwIDIuMzYuNTIgMy4xNyAxLjMzTDEwIDhoNVYzbC0xLjc2IDEuNzZDMTIuMTUgMy42OCAxMC42NiAzIDkgMyA1LjY5IDMgMy4wMSA1LjY5IDMuMDEgOVM1LjY5IDE1IDkgMTVjMi45NyAwIDUuNDMtMi4xNiA1LjktNWgtMS41MmMtLjQ2IDItMi4yNCAzLjUtNC4zOCAzLjV6Ii8+CiAgICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-regex: url(data:image/svg+xml;base64,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);
+  --jp-icon-run: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTggNXYxNGwxMS03eiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-running: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDUxMiA1MTIiPgogIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICA8cGF0aCBkPSJNMjU2IDhDMTE5IDggOCAxMTkgOCAyNTZzMTExIDI0OCAyNDggMjQ4IDI0OC0xMTEgMjQ4LTI0OFMzOTMgOCAyNTYgOHptOTYgMzI4YzAgOC44LTcuMiAxNi0xNiAxNkgxNzZjLTguOCAwLTE2LTcuMi0xNi0xNlYxNzZjMC04LjggNy4yLTE2IDE2LTE2aDE2MGM4LjggMCAxNiA3LjIgMTYgMTZ2MTYweiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-save: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTE3IDNINWMtMS4xMSAwLTIgLjktMiAydjE0YzAgMS4xLjg5IDIgMiAyaDE0YzEuMSAwIDItLjkgMi0yVjdsLTQtNHptLTUgMTZjLTEuNjYgMC0zLTEuMzQtMy0zczEuMzQtMyAzLTMgMyAxLjM0IDMgMy0xLjM0IDMtMyAzem0zLTEwSDVWNWgxMHY0eiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-search: url(data:image/svg+xml;base64,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);
+  --jp-icon-settings: url(data:image/svg+xml;base64,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);
+  --jp-icon-share: url(data:image/svg+xml;base64,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);
+  --jp-icon-spreadsheet: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8cGF0aCBjbGFzcz0ianAtaWNvbi1jb250cmFzdDEganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNENBRjUwIiBkPSJNMi4yIDIuMnYxNy42aDE3LjZWMi4ySDIuMnptMTUuNCA3LjdoLTUuNVY0LjRoNS41djUuNXpNOS45IDQuNHY1LjVINC40VjQuNGg1LjV6bS01LjUgNy43aDUuNXY1LjVINC40di01LjV6bTcuNyA1LjV2LTUuNWg1LjV2NS41aC01LjV6Ii8+Cjwvc3ZnPgo=);
+  --jp-icon-stop: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik02IDZoMTJ2MTJINnoiLz4KICAgIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-tab: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTIxIDNIM2MtMS4xIDAtMiAuOS0yIDJ2MTRjMCAxLjEuOSAyIDIgMmgxOGMxLjEgMCAyLS45IDItMlY1YzAtMS4xLS45LTItMi0yem0wIDE2SDNWNWgxMHY0aDh2MTB6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-table-rows: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik0yMSw4SDNWNGgxOFY4eiBNMjEsMTBIM3Y0aDE4VjEweiBNMjEsMTZIM3Y0aDE4VjE2eiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-tag: url(data:image/svg+xml;base64,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);
+  --jp-icon-terminal: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0IiA+CiAgICA8cmVjdCBjbGFzcz0ianAtdGVybWluYWwtaWNvbi1iYWNrZ3JvdW5kLWNvbG9yIGpwLWljb24tc2VsZWN0YWJsZSIgd2lkdGg9IjIwIiBoZWlnaHQ9IjIwIiB0cmFuc2Zvcm09InRyYW5zbGF0ZSgyIDIpIiBmaWxsPSIjMzMzMzMzIi8+CiAgICA8cGF0aCBjbGFzcz0ianAtdGVybWluYWwtaWNvbi1jb2xvciBqcC1pY29uLXNlbGVjdGFibGUtaW52ZXJzZSIgZD0iTTUuMDU2NjQgOC43NjE3MkM1LjA1NjY0IDguNTk3NjYgNS4wMzEyNSA4LjQ1MzEyIDQuOTgwNDcgOC4zMjgxMkM0LjkzMzU5IDguMTk5MjIgNC44NTU0NyA4LjA4MjAzIDQuNzQ2MDkgNy45NzY1NkM0LjY0MDYyIDcuODcxMDkgNC41IDcuNzc1MzkgNC4zMjQyMiA3LjY4OTQ1QzQuMTUyMzQgNy41OTk2MSAzLjk0MzM2IDcuNTExNzIgMy42OTcyNyA3LjQyNTc4QzMuMzAyNzMgNy4yODUxNiAyLjk0MzM2IDcuMTM2NzIgMi42MTkxNCA2Ljk4MDQ3QzIuMjk0OTIgNi44MjQyMiAyLjAxNzU4IDYuNjQyNTggMS43ODcxMSA2LjQzNTU1QzEuNTYwNTUgNi4yMjg1MiAxLjM4NDc3IDUuOTg4MjggMS4yNTk3NyA1LjcxNDg0QzEuMTM0NzcgNS40Mzc1IDEuMDcyMjcgNS4xMDkzOCAxLjA3MjI3IDQuNzMwNDdDMS4wNzIyNyA0LjM5ODQ0IDEuMTI4OTEgNC4wOTU3IDEuMjQyMTkgMy44MjIyN0MxLjM1NTQ3IDMuNTQ0OTIgMS41MTU2MiAzLjMwNDY5IDEuNzIyNjYgMy4xMDE1NkMxLjkyOTY5IDIuODk4NDQgMi4xNzk2OSAyLjczNDM3IDIuNDcyNjYgMi42MDkzOEMyLjc2NTYyIDIuNDg0MzggMy4wOTE4IDIuNDA0MyAzLjQ1MTE3IDIuMzY5MTRWMS4xMDkzOEg0LjM4ODY3VjIuMzgwODZDNC43NDAyMyAyLjQyNzczIDUuMDU2NjQgMi41MjM0NCA1LjMzNzg5IDIuNjY3OTdDNS42MTkxNCAyLjgxMjUgNS44NTc0MiAzLjAwMTk1IDYuMDUyNzMgMy4yMzYzM0M2LjI1MTk1IDMuNDY2OCA2LjQwNDMgMy43NDAyMyA2LjUwOTc3IDQuMDU2NjRDNi42MTkxNCA0LjM2OTE0IDYuNjczODMgNC43MjA3IDYuNjczODMgNS4xMTEzM0g1LjA0NDkyQzUuMDQ0OTIgNC42Mzg2NyA0LjkzNzUgNC4yODEyNSA0LjcyMjY2IDQuMDM5MDZDNC41MDc4MSAzLjc5Mjk3IDQuMjE2OCAzLjY2OTkyIDMuODQ5NjEgMy42Njk5MkMzLjY1MDM5IDMuNjY5OTIgMy40NzY1NiAzLjY5NzI3IDMuMzI4MTIgMy43NTE5NUMzLjE4MzU5IDMuODAyNzMgMy4wNjQ0NSAzLjg3Njk1IDIuOTcwNyAzLjk3NDYxQzIuODc2OTUgNC4wNjgzNiAyLjgwNjY0IDQuMTc5NjkgMi43NTk3NyA0LjMwODU5QzIuNzE2OCA0LjQzNzUgMi42OTUzMSA0LjU3ODEyIDIuNjk1MzEgNC43MzA0N0MyLjY5NTMxIDQuODgyODEgMi43MTY4IDUuMDE5NTMgMi43NTk3NyA1LjE0MDYyQzIuODA2NjQgNS4yNTc4MSAyLjg4MjgxIDUuMzY3MTkgMi45ODgyOCA1LjQ2ODc1QzMuMDk3NjYgNS41NzAzMSAzLjI0MDIzIDUuNjY3OTcgMy40MTYwMiA1Ljc2MTcyQzMuNTkxOCA1Ljg1MTU2IDMuODEwNTUgNS45NDMzNiA0LjA3MjI3IDYuMDM3MTFDNC40NjY4IDYuMTg1NTUgNC44MjQyMiA2LjMzOTg0IDUuMTQ0NTMgNi41QzUuNDY0ODQgNi42NTYyNSA1LjczODI4IDYuODM5ODQgNS45NjQ4NCA3LjA1MDc4QzYuMTk1MzEgNy4yNTc4MSA2LjM3MTA5IDcuNSA2LjQ5MjE5IDcuNzc3MzRDNi42MTcxOSA4LjA1MDc4IDYuNjc5NjkgOC4zNzUgNi42Nzk2OSA4Ljc1QzYuNjc5NjkgOS4wOTM3NSA2LjYyMzA1IDkuNDA0MyA2LjUwOTc3IDkuNjgxNjRDNi4zOTY0OCA5Ljk1NTA4IDYuMjM0MzggMTAuMTkxNCA2LjAyMzQ0IDEwLjM5MDZDNS44MTI1IDEwLjU4OTggNS41NTg1OSAxMC43NSA1LjI2MTcyIDEwLjg3MTFDNC45NjQ4NCAxMC45ODgzIDQuNjMyODEgMTEuMDY0NSA0LjI2NTYyIDExLjA5OTZWMTIuMjQ4SDMuMzMzOThWMTEuMDk5NkMzLjAwMTk1IDExLjA2ODQgMi42Nzk2OSAxMC45OTYxIDIuMzY3MTkgMTAuODgyOEMyLjA1NDY5IDEwLjc2NTYgMS43NzczNCAxMC41OTc3IDEuNTM1MTYgMTAuMzc4OUMxLjI5Njg4IDEwLjE2MDIgMS4xMDU0NyA5Ljg4NDc3IDAuOTYwOTM4IDkuNTUyNzNDMC44MTY0MDYgOS4yMTY4IDAuNzQ0MTQxIDguODE0NDUgMC43NDQxNDEgOC4zNDU3SDIuMzc4OTFDMi4zNzg5MSA4LjYyNjk1IDIuNDE5OTIgOC44NjMyOCAyLjUwMTk1IDkuMDU0NjlDMi41ODM5OCA5LjI0MjE5IDIuNjg5NDUgOS4zOTI1OCAyLjgxODM2IDkuNTA1ODZDMi45NTExNyA5LjYxNTIzIDMuMTAxNTYgOS42OTMzNiAzLjI2OTUzIDkuNzQwMjNDMy40Mzc1IDkuNzg3MTEgMy42MDkzOCA5LjgxMDU1IDMuNzg1MTYgOS44MTA1NUM0LjIwMzEyIDkuODEwNTUgNC41MTk1MyA5LjcxMjg5IDQuNzM0MzggOS41MTc1OEM0Ljk0OTIyIDkuMzIyMjcgNS4wNTY2NCA5LjA3MDMxIDUuMDU2NjQgOC43NjE3MlpNMTMuNDE4IDEyLjI3MTVIOC4wNzQyMlYxMUgxMy40MThWMTIuMjcxNVoiIHRyYW5zZm9ybT0idHJhbnNsYXRlKDMuOTUyNjQgNikiIGZpbGw9IndoaXRlIi8+Cjwvc3ZnPgo=);
+  --jp-icon-text-editor: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtdGV4dC1lZGl0b3ItaWNvbi1jb2xvciBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xNSAxNUgzdjJoMTJ2LTJ6bTAtOEgzdjJoMTJWN3pNMyAxM2gxOHYtMkgzdjJ6bTAgOGgxOHYtMkgzdjJ6TTMgM3YyaDE4VjNIM3oiLz4KPC9zdmc+Cg==);
+  --jp-icon-toc: url(data:image/svg+xml;base64,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);
+  --jp-icon-tree-view: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik0yMiAxMVYzaC03djNIOVYzSDJ2OGg3VjhoMnYxMGg0djNoN3YtOGgtN3YzaC0yVjhoMnYzeiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-trusted: url(data:image/svg+xml;base64,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);
+  --jp-icon-undo: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyLjUgOGMtMi42NSAwLTUuMDUuOTktNi45IDIuNkwyIDd2OWg5bC0zLjYyLTMuNjJjMS4zOS0xLjE2IDMuMTYtMS44OCA1LjEyLTEuODggMy41NCAwIDYuNTUgMi4zMSA3LjYgNS41bDIuMzctLjc4QzIxLjA4IDExLjAzIDE3LjE1IDggMTIuNSA4eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-user: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMTYiIHZpZXdCb3g9IjAgMCAyNCAyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE2IDdhNCA0IDAgMTEtOCAwIDQgNCAwIDAxOCAwek0xMiAxNGE3IDcgMCAwMC03IDdoMTRhNyA3IDAgMDAtNy03eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-users: url(data:image/svg+xml;base64,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);
+  --jp-icon-vega: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtaWNvbjEganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjMjEyMTIxIj4KICAgIDxwYXRoIGQ9Ik0xMC42IDUuNGwyLjItMy4ySDIuMnY3LjNsNC02LjZ6Ii8+CiAgICA8cGF0aCBkPSJNMTUuOCAyLjJsLTQuNCA2LjZMNyA2LjNsLTQuOCA4djUuNWgxNy42VjIuMmgtNHptLTcgMTUuNEg1LjV2LTQuNGgzLjN2NC40em00LjQgMEg5LjhWOS44aDMuNHY3Ljh6bTQuNCAwaC0zLjRWNi41aDMuNHYxMS4xeiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-word: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwIDIwIj4KIDxnIGNsYXNzPSJqcC1pY29uMiIgZmlsbD0iIzQxNDE0MSI+CiAgPHJlY3QgeD0iMiIgeT0iMiIgd2lkdGg9IjE2IiBoZWlnaHQ9IjE2Ii8+CiA8L2c+CiA8ZyBjbGFzcz0ianAtaWNvbi1hY2NlbnQyIiB0cmFuc2Zvcm09InRyYW5zbGF0ZSguNDMgLjA0MDEpIiBmaWxsPSIjZmZmIj4KICA8cGF0aCBkPSJtNC4xNCA4Ljc2cTAuMDY4Mi0xLjg5IDIuNDItMS44OSAxLjE2IDAgMS42OCAwLjQyIDAuNTY3IDAuNDEgMC41NjcgMS4xNnYzLjQ3cTAgMC40NjIgMC41MTQgMC40NjIgMC4xMDMgMCAwLjItMC4wMjMxdjAuNzE0cS0wLjM5OSAwLjEwMy0wLjY1MSAwLjEwMy0wLjQ1MiAwLTAuNjkzLTAuMjItMC4yMzEtMC4yLTAuMjg0LTAuNjYyLTAuOTU2IDAuODcyLTIgMC44NzItMC45MDMgMC0xLjQ3LTAuNDcyLTAuNTI1LTAuNDcyLTAuNTI1LTEuMjYgMC0wLjI2MiAwLjA0NTItMC40NzIgMC4wNTY3LTAuMjIgMC4xMTYtMC4zNzggMC4wNjgyLTAuMTY4IDAuMjMxLTAuMzA0IDAuMTU4LTAuMTQ3IDAuMjYyLTAuMjQyIDAuMTE2LTAuMDkxNCAwLjM2OC0wLjE2OCAwLjI2Mi0wLjA5MTQgMC4zOTktMC4xMjYgMC4xMzYtMC4wNDUyIDAuNDcyLTAuMTAzIDAuMzM2LTAuMDU3OCAwLjUwNC0wLjA3OTggMC4xNTgtMC4wMjMxIDAuNTY3LTAuMDc5OCAwLjU1Ni0wLjA2ODIgMC43NzctMC4yMjEgMC4yMi0wLjE1MiAwLjIyLTAuNDQxdi0wLjI1MnEwLTAuNDMtMC4zNTctMC42NjItMC4zMzYtMC4yMzEtMC45NzYtMC4yMzEtMC42NjIgMC0wLjk5OCAwLjI2Mi0wLjMzNiAwLjI1Mi0wLjM5OSAwLjc5OHptMS44OSAzLjY4cTAuNzg4IDAgMS4yNi0wLjQxIDAuNTA0LTAuNDIgMC41MDQtMC45MDN2LTEuMDVxLTAuMjg0IDAuMTM2LTAuODYxIDAuMjMxLTAuNTY3IDAuMDkxNC0wLjk4NyAwLjE1OC0wLjQyIDAuMDY4Mi0wLjc2NiAwLjMyNi0wLjMzNiAwLjI1Mi0wLjMzNiAwLjcwNHQwLjMwNCAwLjcwNCAwLjg2MSAwLjI1MnoiIHN0cm9rZS13aWR0aD0iMS4wNSIvPgogIDxwYXRoIGQ9Im0xMCA0LjU2aDAuOTQ1djMuMTVxMC42NTEtMC45NzYgMS44OS0wLjk3NiAxLjE2IDAgMS44OSAwLjg0IDAuNjgyIDAuODQgMC42ODIgMi4zMSAwIDEuNDctMC43MDQgMi40Mi0wLjcwNCAwLjg4Mi0xLjg5IDAuODgyLTEuMjYgMC0xLjg5LTEuMDJ2MC43NjZoLTAuODV6bTIuNjIgMy4wNHEtMC43NDYgMC0xLjE2IDAuNjQtMC40NTIgMC42My0wLjQ1MiAxLjY4IDAgMS4wNSAwLjQ1MiAxLjY4dDEuMTYgMC42M3EwLjc3NyAwIDEuMjYtMC42MyAwLjQ5NC0wLjY0IDAuNDk0LTEuNjggMC0xLjA1LTAuNDcyLTEuNjgtMC40NjItMC42NC0xLjI2LTAuNjR6IiBzdHJva2Utd2lkdGg9IjEuMDUiLz4KICA8cGF0aCBkPSJtMi43MyAxNS44IDEzLjYgMC4wMDgxYzAuMDA2OSAwIDAtMi42IDAtMi42IDAtMC4wMDc4LTEuMTUgMC0xLjE1IDAtMC4wMDY5IDAtMC4wMDgzIDEuNS0wLjAwODMgMS41LTJlLTMgLTAuMDAxNC0xMS4zLTAuMDAxNC0xMS4zLTAuMDAxNGwtMC4wMDU5Mi0xLjVjMC0wLjAwNzgtMS4xNyAwLjAwMTMtMS4xNyAwLjAwMTN6IiBzdHJva2Utd2lkdGg9Ii45NzUiLz4KIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-yaml: url(data:image/svg+xml;base64,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);
+}
+
+/* Icon CSS class declarations */
+
+.jp-AddAboveIcon {
+  background-image: var(--jp-icon-add-above);
+}
+
+.jp-AddBelowIcon {
+  background-image: var(--jp-icon-add-below);
+}
+
+.jp-AddIcon {
+  background-image: var(--jp-icon-add);
+}
+
+.jp-BellIcon {
+  background-image: var(--jp-icon-bell);
+}
+
+.jp-BugDotIcon {
+  background-image: var(--jp-icon-bug-dot);
+}
+
+.jp-BugIcon {
+  background-image: var(--jp-icon-bug);
+}
+
+.jp-BuildIcon {
+  background-image: var(--jp-icon-build);
+}
+
+.jp-CaretDownEmptyIcon {
+  background-image: var(--jp-icon-caret-down-empty);
+}
+
+.jp-CaretDownEmptyThinIcon {
+  background-image: var(--jp-icon-caret-down-empty-thin);
+}
+
+.jp-CaretDownIcon {
+  background-image: var(--jp-icon-caret-down);
+}
+
+.jp-CaretLeftIcon {
+  background-image: var(--jp-icon-caret-left);
+}
+
+.jp-CaretRightIcon {
+  background-image: var(--jp-icon-caret-right);
+}
+
+.jp-CaretUpEmptyThinIcon {
+  background-image: var(--jp-icon-caret-up-empty-thin);
+}
+
+.jp-CaretUpIcon {
+  background-image: var(--jp-icon-caret-up);
+}
+
+.jp-CaseSensitiveIcon {
+  background-image: var(--jp-icon-case-sensitive);
+}
+
+.jp-CheckIcon {
+  background-image: var(--jp-icon-check);
+}
+
+.jp-CircleEmptyIcon {
+  background-image: var(--jp-icon-circle-empty);
+}
+
+.jp-CircleIcon {
+  background-image: var(--jp-icon-circle);
+}
+
+.jp-ClearIcon {
+  background-image: var(--jp-icon-clear);
+}
+
+.jp-CloseIcon {
+  background-image: var(--jp-icon-close);
+}
+
+.jp-CodeCheckIcon {
+  background-image: var(--jp-icon-code-check);
+}
+
+.jp-CodeIcon {
+  background-image: var(--jp-icon-code);
+}
+
+.jp-CollapseAllIcon {
+  background-image: var(--jp-icon-collapse-all);
+}
+
+.jp-ConsoleIcon {
+  background-image: var(--jp-icon-console);
+}
+
+.jp-CopyIcon {
+  background-image: var(--jp-icon-copy);
+}
+
+.jp-CopyrightIcon {
+  background-image: var(--jp-icon-copyright);
+}
+
+.jp-CutIcon {
+  background-image: var(--jp-icon-cut);
+}
+
+.jp-DeleteIcon {
+  background-image: var(--jp-icon-delete);
+}
+
+.jp-DownloadIcon {
+  background-image: var(--jp-icon-download);
+}
+
+.jp-DuplicateIcon {
+  background-image: var(--jp-icon-duplicate);
+}
+
+.jp-EditIcon {
+  background-image: var(--jp-icon-edit);
+}
+
+.jp-EllipsesIcon {
+  background-image: var(--jp-icon-ellipses);
+}
+
+.jp-ErrorIcon {
+  background-image: var(--jp-icon-error);
+}
+
+.jp-ExpandAllIcon {
+  background-image: var(--jp-icon-expand-all);
+}
+
+.jp-ExtensionIcon {
+  background-image: var(--jp-icon-extension);
+}
+
+.jp-FastForwardIcon {
+  background-image: var(--jp-icon-fast-forward);
+}
+
+.jp-FileIcon {
+  background-image: var(--jp-icon-file);
+}
+
+.jp-FileUploadIcon {
+  background-image: var(--jp-icon-file-upload);
+}
+
+.jp-FilterDotIcon {
+  background-image: var(--jp-icon-filter-dot);
+}
+
+.jp-FilterIcon {
+  background-image: var(--jp-icon-filter);
+}
+
+.jp-FilterListIcon {
+  background-image: var(--jp-icon-filter-list);
+}
+
+.jp-FolderFavoriteIcon {
+  background-image: var(--jp-icon-folder-favorite);
+}
+
+.jp-FolderIcon {
+  background-image: var(--jp-icon-folder);
+}
+
+.jp-HomeIcon {
+  background-image: var(--jp-icon-home);
+}
+
+.jp-Html5Icon {
+  background-image: var(--jp-icon-html5);
+}
+
+.jp-ImageIcon {
+  background-image: var(--jp-icon-image);
+}
+
+.jp-InfoIcon {
+  background-image: var(--jp-icon-info);
+}
+
+.jp-InspectorIcon {
+  background-image: var(--jp-icon-inspector);
+}
+
+.jp-JsonIcon {
+  background-image: var(--jp-icon-json);
+}
+
+.jp-JuliaIcon {
+  background-image: var(--jp-icon-julia);
+}
+
+.jp-JupyterFaviconIcon {
+  background-image: var(--jp-icon-jupyter-favicon);
+}
+
+.jp-JupyterIcon {
+  background-image: var(--jp-icon-jupyter);
+}
+
+.jp-JupyterlabWordmarkIcon {
+  background-image: var(--jp-icon-jupyterlab-wordmark);
+}
+
+.jp-KernelIcon {
+  background-image: var(--jp-icon-kernel);
+}
+
+.jp-KeyboardIcon {
+  background-image: var(--jp-icon-keyboard);
+}
+
+.jp-LaunchIcon {
+  background-image: var(--jp-icon-launch);
+}
+
+.jp-LauncherIcon {
+  background-image: var(--jp-icon-launcher);
+}
+
+.jp-LineFormIcon {
+  background-image: var(--jp-icon-line-form);
+}
+
+.jp-LinkIcon {
+  background-image: var(--jp-icon-link);
+}
+
+.jp-ListIcon {
+  background-image: var(--jp-icon-list);
+}
+
+.jp-MarkdownIcon {
+  background-image: var(--jp-icon-markdown);
+}
+
+.jp-MoveDownIcon {
+  background-image: var(--jp-icon-move-down);
+}
+
+.jp-MoveUpIcon {
+  background-image: var(--jp-icon-move-up);
+}
+
+.jp-NewFolderIcon {
+  background-image: var(--jp-icon-new-folder);
+}
+
+.jp-NotTrustedIcon {
+  background-image: var(--jp-icon-not-trusted);
+}
+
+.jp-NotebookIcon {
+  background-image: var(--jp-icon-notebook);
+}
+
+.jp-NumberingIcon {
+  background-image: var(--jp-icon-numbering);
+}
+
+.jp-OfflineBoltIcon {
+  background-image: var(--jp-icon-offline-bolt);
+}
+
+.jp-PaletteIcon {
+  background-image: var(--jp-icon-palette);
+}
+
+.jp-PasteIcon {
+  background-image: var(--jp-icon-paste);
+}
+
+.jp-PdfIcon {
+  background-image: var(--jp-icon-pdf);
+}
+
+.jp-PythonIcon {
+  background-image: var(--jp-icon-python);
+}
+
+.jp-RKernelIcon {
+  background-image: var(--jp-icon-r-kernel);
+}
+
+.jp-ReactIcon {
+  background-image: var(--jp-icon-react);
+}
+
+.jp-RedoIcon {
+  background-image: var(--jp-icon-redo);
+}
+
+.jp-RefreshIcon {
+  background-image: var(--jp-icon-refresh);
+}
+
+.jp-RegexIcon {
+  background-image: var(--jp-icon-regex);
+}
+
+.jp-RunIcon {
+  background-image: var(--jp-icon-run);
+}
+
+.jp-RunningIcon {
+  background-image: var(--jp-icon-running);
+}
+
+.jp-SaveIcon {
+  background-image: var(--jp-icon-save);
+}
+
+.jp-SearchIcon {
+  background-image: var(--jp-icon-search);
+}
+
+.jp-SettingsIcon {
+  background-image: var(--jp-icon-settings);
+}
+
+.jp-ShareIcon {
+  background-image: var(--jp-icon-share);
+}
+
+.jp-SpreadsheetIcon {
+  background-image: var(--jp-icon-spreadsheet);
+}
+
+.jp-StopIcon {
+  background-image: var(--jp-icon-stop);
+}
+
+.jp-TabIcon {
+  background-image: var(--jp-icon-tab);
+}
+
+.jp-TableRowsIcon {
+  background-image: var(--jp-icon-table-rows);
+}
+
+.jp-TagIcon {
+  background-image: var(--jp-icon-tag);
+}
+
+.jp-TerminalIcon {
+  background-image: var(--jp-icon-terminal);
+}
+
+.jp-TextEditorIcon {
+  background-image: var(--jp-icon-text-editor);
+}
+
+.jp-TocIcon {
+  background-image: var(--jp-icon-toc);
+}
+
+.jp-TreeViewIcon {
+  background-image: var(--jp-icon-tree-view);
+}
+
+.jp-TrustedIcon {
+  background-image: var(--jp-icon-trusted);
+}
+
+.jp-UndoIcon {
+  background-image: var(--jp-icon-undo);
+}
+
+.jp-UserIcon {
+  background-image: var(--jp-icon-user);
+}
+
+.jp-UsersIcon {
+  background-image: var(--jp-icon-users);
+}
+
+.jp-VegaIcon {
+  background-image: var(--jp-icon-vega);
+}
+
+.jp-WordIcon {
+  background-image: var(--jp-icon-word);
+}
+
+.jp-YamlIcon {
+  background-image: var(--jp-icon-yaml);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/**
+ * (DEPRECATED) Support for consuming icons as CSS background images
+ */
+
+.jp-Icon,
+.jp-MaterialIcon {
+  background-position: center;
+  background-repeat: no-repeat;
+  background-size: 16px;
+  min-width: 16px;
+  min-height: 16px;
+}
+
+.jp-Icon-cover {
+  background-position: center;
+  background-repeat: no-repeat;
+  background-size: cover;
+}
+
+/**
+ * (DEPRECATED) Support for specific CSS icon sizes
+ */
+
+.jp-Icon-16 {
+  background-size: 16px;
+  min-width: 16px;
+  min-height: 16px;
+}
+
+.jp-Icon-18 {
+  background-size: 18px;
+  min-width: 18px;
+  min-height: 18px;
+}
+
+.jp-Icon-20 {
+  background-size: 20px;
+  min-width: 20px;
+  min-height: 20px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.lm-TabBar .lm-TabBar-addButton {
+  align-items: center;
+  display: flex;
+  padding: 4px;
+  padding-bottom: 5px;
+  margin-right: 1px;
+  background-color: var(--jp-layout-color2);
+}
+
+.lm-TabBar .lm-TabBar-addButton:hover {
+  background-color: var(--jp-layout-color1);
+}
+
+.lm-DockPanel-tabBar .lm-TabBar-tab {
+  width: var(--jp-private-horizontal-tab-width);
+}
+
+.lm-DockPanel-tabBar .lm-TabBar-content {
+  flex: unset;
+}
+
+.lm-DockPanel-tabBar[data-orientation='horizontal'] {
+  flex: 1 1 auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/**
+ * Support for icons as inline SVG HTMLElements
+ */
+
+/* recolor the primary elements of an icon */
+.jp-icon0[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon1[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon2[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon3[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon4[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon0[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon1[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon2[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon3[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon4[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/* recolor the accent elements of an icon */
+.jp-icon-accent0[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.jp-icon-accent1[fill] {
+  fill: var(--jp-layout-color1);
+}
+
+.jp-icon-accent2[fill] {
+  fill: var(--jp-layout-color2);
+}
+
+.jp-icon-accent3[fill] {
+  fill: var(--jp-layout-color3);
+}
+
+.jp-icon-accent4[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-accent0[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-accent1[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-accent2[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-accent3[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-accent4[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* set the color of an icon to transparent */
+.jp-icon-none[fill] {
+  fill: none;
+}
+
+.jp-icon-none[stroke] {
+  stroke: none;
+}
+
+/* brand icon colors. Same for light and dark */
+.jp-icon-brand0[fill] {
+  fill: var(--jp-brand-color0);
+}
+
+.jp-icon-brand1[fill] {
+  fill: var(--jp-brand-color1);
+}
+
+.jp-icon-brand2[fill] {
+  fill: var(--jp-brand-color2);
+}
+
+.jp-icon-brand3[fill] {
+  fill: var(--jp-brand-color3);
+}
+
+.jp-icon-brand4[fill] {
+  fill: var(--jp-brand-color4);
+}
+
+.jp-icon-brand0[stroke] {
+  stroke: var(--jp-brand-color0);
+}
+
+.jp-icon-brand1[stroke] {
+  stroke: var(--jp-brand-color1);
+}
+
+.jp-icon-brand2[stroke] {
+  stroke: var(--jp-brand-color2);
+}
+
+.jp-icon-brand3[stroke] {
+  stroke: var(--jp-brand-color3);
+}
+
+.jp-icon-brand4[stroke] {
+  stroke: var(--jp-brand-color4);
+}
+
+/* warn icon colors. Same for light and dark */
+.jp-icon-warn0[fill] {
+  fill: var(--jp-warn-color0);
+}
+
+.jp-icon-warn1[fill] {
+  fill: var(--jp-warn-color1);
+}
+
+.jp-icon-warn2[fill] {
+  fill: var(--jp-warn-color2);
+}
+
+.jp-icon-warn3[fill] {
+  fill: var(--jp-warn-color3);
+}
+
+.jp-icon-warn0[stroke] {
+  stroke: var(--jp-warn-color0);
+}
+
+.jp-icon-warn1[stroke] {
+  stroke: var(--jp-warn-color1);
+}
+
+.jp-icon-warn2[stroke] {
+  stroke: var(--jp-warn-color2);
+}
+
+.jp-icon-warn3[stroke] {
+  stroke: var(--jp-warn-color3);
+}
+
+/* icon colors that contrast well with each other and most backgrounds */
+.jp-icon-contrast0[fill] {
+  fill: var(--jp-icon-contrast-color0);
+}
+
+.jp-icon-contrast1[fill] {
+  fill: var(--jp-icon-contrast-color1);
+}
+
+.jp-icon-contrast2[fill] {
+  fill: var(--jp-icon-contrast-color2);
+}
+
+.jp-icon-contrast3[fill] {
+  fill: var(--jp-icon-contrast-color3);
+}
+
+.jp-icon-contrast0[stroke] {
+  stroke: var(--jp-icon-contrast-color0);
+}
+
+.jp-icon-contrast1[stroke] {
+  stroke: var(--jp-icon-contrast-color1);
+}
+
+.jp-icon-contrast2[stroke] {
+  stroke: var(--jp-icon-contrast-color2);
+}
+
+.jp-icon-contrast3[stroke] {
+  stroke: var(--jp-icon-contrast-color3);
+}
+
+.jp-icon-dot[fill] {
+  fill: var(--jp-warn-color0);
+}
+
+.jp-jupyter-icon-color[fill] {
+  fill: var(--jp-jupyter-icon-color, var(--jp-warn-color0));
+}
+
+.jp-notebook-icon-color[fill] {
+  fill: var(--jp-notebook-icon-color, var(--jp-warn-color0));
+}
+
+.jp-json-icon-color[fill] {
+  fill: var(--jp-json-icon-color, var(--jp-warn-color1));
+}
+
+.jp-console-icon-color[fill] {
+  fill: var(--jp-console-icon-color, white);
+}
+
+.jp-console-icon-background-color[fill] {
+  fill: var(--jp-console-icon-background-color, var(--jp-brand-color1));
+}
+
+.jp-terminal-icon-color[fill] {
+  fill: var(--jp-terminal-icon-color, var(--jp-layout-color2));
+}
+
+.jp-terminal-icon-background-color[fill] {
+  fill: var(
+    --jp-terminal-icon-background-color,
+    var(--jp-inverse-layout-color2)
+  );
+}
+
+.jp-text-editor-icon-color[fill] {
+  fill: var(--jp-text-editor-icon-color, var(--jp-inverse-layout-color3));
+}
+
+.jp-inspector-icon-color[fill] {
+  fill: var(--jp-inspector-icon-color, var(--jp-inverse-layout-color3));
+}
+
+/* CSS for icons in selected filebrowser listing items */
+.jp-DirListing-item.jp-mod-selected .jp-icon-selectable[fill] {
+  fill: #fff;
+}
+
+.jp-DirListing-item.jp-mod-selected .jp-icon-selectable-inverse[fill] {
+  fill: var(--jp-brand-color1);
+}
+
+/* stylelint-disable selector-max-class, selector-max-compound-selectors */
+
+/**
+* TODO: come up with non css-hack solution for showing the busy icon on top
+*  of the close icon
+* CSS for complex behavior of close icon of tabs in the main area tabbar
+*/
+.lm-DockPanel-tabBar
+  .lm-TabBar-tab.lm-mod-closable.jp-mod-dirty
+  > .lm-TabBar-tabCloseIcon
+  > :not(:hover)
+  > .jp-icon3[fill] {
+  fill: none;
+}
+
+.lm-DockPanel-tabBar
+  .lm-TabBar-tab.lm-mod-closable.jp-mod-dirty
+  > .lm-TabBar-tabCloseIcon
+  > :not(:hover)
+  > .jp-icon-busy[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+/* stylelint-enable selector-max-class, selector-max-compound-selectors */
+
+/* CSS for icons in status bar */
+#jp-main-statusbar .jp-mod-selected .jp-icon-selectable[fill] {
+  fill: #fff;
+}
+
+#jp-main-statusbar .jp-mod-selected .jp-icon-selectable-inverse[fill] {
+  fill: var(--jp-brand-color1);
+}
+
+/* special handling for splash icon CSS. While the theme CSS reloads during
+   splash, the splash icon can loose theming. To prevent that, we set a
+   default for its color variable */
+:root {
+  --jp-warn-color0: var(--md-orange-700);
+}
+
+/* not sure what to do with this one, used in filebrowser listing */
+.jp-DragIcon {
+  margin-right: 4px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/**
+ * Support for alt colors for icons as inline SVG HTMLElements
+ */
+
+/* alt recolor the primary elements of an icon */
+.jp-icon-alt .jp-icon0[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.jp-icon-alt .jp-icon1[fill] {
+  fill: var(--jp-layout-color1);
+}
+
+.jp-icon-alt .jp-icon2[fill] {
+  fill: var(--jp-layout-color2);
+}
+
+.jp-icon-alt .jp-icon3[fill] {
+  fill: var(--jp-layout-color3);
+}
+
+.jp-icon-alt .jp-icon4[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-alt .jp-icon0[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-alt .jp-icon1[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-alt .jp-icon2[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-alt .jp-icon3[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-alt .jp-icon4[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* alt recolor the accent elements of an icon */
+.jp-icon-alt .jp-icon-accent0[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-alt .jp-icon-accent1[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-alt .jp-icon-accent2[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-alt .jp-icon-accent3[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-alt .jp-icon-accent4[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon-alt .jp-icon-accent0[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-alt .jp-icon-accent1[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-alt .jp-icon-accent2[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-alt .jp-icon-accent3[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-alt .jp-icon-accent4[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-icon-hoverShow:not(:hover) .jp-icon-hoverShow-content {
+  display: none !important;
+}
+
+/**
+ * Support for hover colors for icons as inline SVG HTMLElements
+ */
+
+/**
+ * regular colors
+ */
+
+/* recolor the primary elements of an icon */
+.jp-icon-hover :hover .jp-icon0-hover[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon1-hover[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon2-hover[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon3-hover[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon4-hover[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon-hover :hover .jp-icon0-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon1-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon2-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon3-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon4-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/* recolor the accent elements of an icon */
+.jp-icon-hover :hover .jp-icon-accent0-hover[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon-accent1-hover[fill] {
+  fill: var(--jp-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon-accent2-hover[fill] {
+  fill: var(--jp-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon-accent3-hover[fill] {
+  fill: var(--jp-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon-accent4-hover[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-hover :hover .jp-icon-accent0-hover[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon-accent1-hover[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon-accent2-hover[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon-accent3-hover[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon-accent4-hover[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* set the color of an icon to transparent */
+.jp-icon-hover :hover .jp-icon-none-hover[fill] {
+  fill: none;
+}
+
+.jp-icon-hover :hover .jp-icon-none-hover[stroke] {
+  stroke: none;
+}
+
+/**
+ * inverse colors
+ */
+
+/* inverse recolor the primary elements of an icon */
+.jp-icon-hover.jp-icon-alt :hover .jp-icon0-hover[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon1-hover[fill] {
+  fill: var(--jp-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon2-hover[fill] {
+  fill: var(--jp-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon3-hover[fill] {
+  fill: var(--jp-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon4-hover[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon0-hover[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon1-hover[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon2-hover[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon3-hover[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon4-hover[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* inverse recolor the accent elements of an icon */
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent0-hover[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent1-hover[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent2-hover[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent3-hover[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent4-hover[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent0-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent1-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent2-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent3-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent4-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-IFrame {
+  width: 100%;
+  height: 100%;
+}
+
+.jp-IFrame > iframe {
+  border: none;
+}
+
+/*
+When drag events occur, `lm-mod-override-cursor` is added to the body.
+Because iframes steal all cursor events, the following two rules are necessary
+to suppress pointer events while resize drags are occurring. There may be a
+better solution to this problem.
+*/
+body.lm-mod-override-cursor .jp-IFrame {
+  position: relative;
+}
+
+body.lm-mod-override-cursor .jp-IFrame::before {
+  content: '';
+  position: absolute;
+  top: 0;
+  left: 0;
+  right: 0;
+  bottom: 0;
+  background: transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-HoverBox {
+  position: fixed;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-FormGroup-content fieldset {
+  border: none;
+  padding: 0;
+  min-width: 0;
+  width: 100%;
+}
+
+/* stylelint-disable selector-max-type */
+
+.jp-FormGroup-content fieldset .jp-inputFieldWrapper input,
+.jp-FormGroup-content fieldset .jp-inputFieldWrapper select,
+.jp-FormGroup-content fieldset .jp-inputFieldWrapper textarea {
+  font-size: var(--jp-content-font-size2);
+  border-color: var(--jp-input-border-color);
+  border-style: solid;
+  border-radius: var(--jp-border-radius);
+  border-width: 1px;
+  padding: 6px 8px;
+  background: none;
+  color: var(--jp-ui-font-color0);
+  height: inherit;
+}
+
+.jp-FormGroup-content fieldset input[type='checkbox'] {
+  position: relative;
+  top: 2px;
+  margin-left: 0;
+}
+
+.jp-FormGroup-content button.jp-mod-styled {
+  cursor: pointer;
+}
+
+.jp-FormGroup-content .checkbox label {
+  cursor: pointer;
+  font-size: var(--jp-content-font-size1);
+}
+
+.jp-FormGroup-content .jp-root > fieldset > legend {
+  display: none;
+}
+
+.jp-FormGroup-content .jp-root > fieldset > p {
+  display: none;
+}
+
+/** copy of `input.jp-mod-styled:focus` style */
+.jp-FormGroup-content fieldset input:focus,
+.jp-FormGroup-content fieldset select:focus {
+  -moz-outline-radius: unset;
+  outline: var(--jp-border-width) solid var(--md-blue-500);
+  outline-offset: -1px;
+  box-shadow: inset 0 0 4px var(--md-blue-300);
+}
+
+.jp-FormGroup-content fieldset input:hover:not(:focus),
+.jp-FormGroup-content fieldset select:hover:not(:focus) {
+  background-color: var(--jp-border-color2);
+}
+
+/* stylelint-enable selector-max-type */
+
+.jp-FormGroup-content .checkbox .field-description {
+  /* Disable default description field for checkbox:
+   because other widgets do not have description fields,
+   we add descriptions to each widget on the field level.
+  */
+  display: none;
+}
+
+.jp-FormGroup-content #root__description {
+  display: none;
+}
+
+.jp-FormGroup-content .jp-modifiedIndicator {
+  width: 5px;
+  background-color: var(--jp-brand-color2);
+  margin-top: 0;
+  margin-left: calc(var(--jp-private-settingeditor-modifier-indent) * -1);
+  flex-shrink: 0;
+}
+
+.jp-FormGroup-content .jp-modifiedIndicator.jp-errorIndicator {
+  background-color: var(--jp-error-color0);
+  margin-right: 0.5em;
+}
+
+/* RJSF ARRAY style */
+
+.jp-arrayFieldWrapper legend {
+  font-size: var(--jp-content-font-size2);
+  color: var(--jp-ui-font-color0);
+  flex-basis: 100%;
+  padding: 4px 0;
+  font-weight: var(--jp-content-heading-font-weight);
+  border-bottom: 1px solid var(--jp-border-color2);
+}
+
+.jp-arrayFieldWrapper .field-description {
+  padding: 4px 0;
+  white-space: pre-wrap;
+}
+
+.jp-arrayFieldWrapper .array-item {
+  width: 100%;
+  border: 1px solid var(--jp-border-color2);
+  border-radius: 4px;
+  margin: 4px;
+}
+
+.jp-ArrayOperations {
+  display: flex;
+  margin-left: 8px;
+}
+
+.jp-ArrayOperationsButton {
+  margin: 2px;
+}
+
+.jp-ArrayOperationsButton .jp-icon3[fill] {
+  fill: var(--jp-ui-font-color0);
+}
+
+button.jp-ArrayOperationsButton.jp-mod-styled:disabled {
+  cursor: not-allowed;
+  opacity: 0.5;
+}
+
+/* RJSF form validation error */
+
+.jp-FormGroup-content .validationErrors {
+  color: var(--jp-error-color0);
+}
+
+/* Hide panel level error as duplicated the field level error */
+.jp-FormGroup-content .panel.errors {
+  display: none;
+}
+
+/* RJSF normal content (settings-editor) */
+
+.jp-FormGroup-contentNormal {
+  display: flex;
+  align-items: center;
+  flex-wrap: wrap;
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-contentItem {
+  margin-left: 7px;
+  color: var(--jp-ui-font-color0);
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-description {
+  flex-basis: 100%;
+  padding: 4px 7px;
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-default {
+  flex-basis: 100%;
+  padding: 4px 7px;
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-fieldLabel {
+  font-size: var(--jp-content-font-size1);
+  font-weight: normal;
+  min-width: 120px;
+}
+
+.jp-FormGroup-contentNormal fieldset:not(:first-child) {
+  margin-left: 7px;
+}
+
+.jp-FormGroup-contentNormal .field-array-of-string .array-item {
+  /* Display `jp-ArrayOperations` buttons side-by-side with content except
+    for small screens where flex-wrap will place them one below the other.
+  */
+  display: flex;
+  align-items: center;
+  flex-wrap: wrap;
+}
+
+.jp-FormGroup-contentNormal .jp-objectFieldWrapper .form-group {
+  padding: 2px 8px 2px var(--jp-private-settingeditor-modifier-indent);
+  margin-top: 2px;
+}
+
+/* RJSF compact content (metadata-form) */
+
+.jp-FormGroup-content.jp-FormGroup-contentCompact {
+  width: 100%;
+}
+
+.jp-FormGroup-contentCompact .form-group {
+  display: flex;
+  padding: 0.5em 0.2em 0.5em 0;
+}
+
+.jp-FormGroup-contentCompact
+  .jp-FormGroup-compactTitle
+  .jp-FormGroup-description {
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-FormGroup-contentCompact .jp-FormGroup-fieldLabel {
+  padding-bottom: 0.3em;
+}
+
+.jp-FormGroup-contentCompact .jp-inputFieldWrapper .form-control {
+  width: 100%;
+  box-sizing: border-box;
+}
+
+.jp-FormGroup-contentCompact .jp-arrayFieldWrapper .jp-FormGroup-compactTitle {
+  padding-bottom: 7px;
+}
+
+.jp-FormGroup-contentCompact
+  .jp-objectFieldWrapper
+  .jp-objectFieldWrapper
+  .form-group {
+  padding: 2px 8px 2px var(--jp-private-settingeditor-modifier-indent);
+  margin-top: 2px;
+}
+
+.jp-FormGroup-contentCompact ul.error-detail {
+  margin-block-start: 0.5em;
+  margin-block-end: 0.5em;
+  padding-inline-start: 1em;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-SidePanel {
+  display: flex;
+  flex-direction: column;
+  min-width: var(--jp-sidebar-min-width);
+  overflow-y: auto;
+  color: var(--jp-ui-font-color1);
+  background: var(--jp-layout-color1);
+  font-size: var(--jp-ui-font-size1);
+}
+
+.jp-SidePanel-header {
+  flex: 0 0 auto;
+  display: flex;
+  border-bottom: var(--jp-border-width) solid var(--jp-border-color2);
+  font-size: var(--jp-ui-font-size0);
+  font-weight: 600;
+  letter-spacing: 1px;
+  margin: 0;
+  padding: 2px;
+  text-transform: uppercase;
+}
+
+.jp-SidePanel-toolbar {
+  flex: 0 0 auto;
+}
+
+.jp-SidePanel-content {
+  flex: 1 1 auto;
+}
+
+.jp-SidePanel-toolbar,
+.jp-AccordionPanel-toolbar {
+  height: var(--jp-private-toolbar-height);
+}
+
+.jp-SidePanel-toolbar.jp-Toolbar-micro {
+  display: none;
+}
+
+.lm-AccordionPanel .jp-AccordionPanel-title {
+  box-sizing: border-box;
+  line-height: 25px;
+  margin: 0;
+  display: flex;
+  align-items: center;
+  background: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  font-size: var(--jp-ui-font-size0);
+}
+
+.jp-AccordionPanel-title {
+  cursor: pointer;
+  user-select: none;
+  -moz-user-select: none;
+  -webkit-user-select: none;
+  text-transform: uppercase;
+}
+
+.lm-AccordionPanel[data-orientation='horizontal'] > .jp-AccordionPanel-title {
+  /* Title is rotated for horizontal accordion panel using CSS */
+  display: block;
+  transform-origin: top left;
+  transform: rotate(-90deg) translate(-100%);
+}
+
+.jp-AccordionPanel-title .lm-AccordionPanel-titleLabel {
+  user-select: none;
+  text-overflow: ellipsis;
+  white-space: nowrap;
+  overflow: hidden;
+}
+
+.jp-AccordionPanel-title .lm-AccordionPanel-titleCollapser {
+  transform: rotate(-90deg);
+  margin: auto 0;
+  height: 16px;
+}
+
+.jp-AccordionPanel-title.lm-mod-expanded .lm-AccordionPanel-titleCollapser {
+  transform: rotate(0deg);
+}
+
+.lm-AccordionPanel .jp-AccordionPanel-toolbar {
+  background: none;
+  box-shadow: none;
+  border: none;
+  margin-left: auto;
+}
+
+.lm-AccordionPanel .lm-SplitPanel-handle:hover {
+  background: var(--jp-layout-color3);
+}
+
+.jp-text-truncated {
+  overflow: hidden;
+  text-overflow: ellipsis;
+  white-space: nowrap;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Spinner {
+  position: absolute;
+  display: flex;
+  justify-content: center;
+  align-items: center;
+  z-index: 10;
+  left: 0;
+  top: 0;
+  width: 100%;
+  height: 100%;
+  background: var(--jp-layout-color0);
+  outline: none;
+}
+
+.jp-SpinnerContent {
+  font-size: 10px;
+  margin: 50px auto;
+  text-indent: -9999em;
+  width: 3em;
+  height: 3em;
+  border-radius: 50%;
+  background: var(--jp-brand-color3);
+  background: linear-gradient(
+    to right,
+    #f37626 10%,
+    rgba(255, 255, 255, 0) 42%
+  );
+  position: relative;
+  animation: load3 1s infinite linear, fadeIn 1s;
+}
+
+.jp-SpinnerContent::before {
+  width: 50%;
+  height: 50%;
+  background: #f37626;
+  border-radius: 100% 0 0;
+  position: absolute;
+  top: 0;
+  left: 0;
+  content: '';
+}
+
+.jp-SpinnerContent::after {
+  background: var(--jp-layout-color0);
+  width: 75%;
+  height: 75%;
+  border-radius: 50%;
+  content: '';
+  margin: auto;
+  position: absolute;
+  top: 0;
+  left: 0;
+  bottom: 0;
+  right: 0;
+}
+
+@keyframes fadeIn {
+  0% {
+    opacity: 0;
+  }
+
+  100% {
+    opacity: 1;
+  }
+}
+
+@keyframes load3 {
+  0% {
+    transform: rotate(0deg);
+  }
+
+  100% {
+    transform: rotate(360deg);
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+button.jp-mod-styled {
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color0);
+  border: none;
+  box-sizing: border-box;
+  text-align: center;
+  line-height: 32px;
+  height: 32px;
+  padding: 0 12px;
+  letter-spacing: 0.8px;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+}
+
+input.jp-mod-styled {
+  background: var(--jp-input-background);
+  height: 28px;
+  box-sizing: border-box;
+  border: var(--jp-border-width) solid var(--jp-border-color1);
+  padding-left: 7px;
+  padding-right: 7px;
+  font-size: var(--jp-ui-font-size2);
+  color: var(--jp-ui-font-color0);
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+}
+
+input[type='checkbox'].jp-mod-styled {
+  appearance: checkbox;
+  -webkit-appearance: checkbox;
+  -moz-appearance: checkbox;
+  height: auto;
+}
+
+input.jp-mod-styled:focus {
+  border: var(--jp-border-width) solid var(--md-blue-500);
+  box-shadow: inset 0 0 4px var(--md-blue-300);
+}
+
+.jp-select-wrapper {
+  display: flex;
+  position: relative;
+  flex-direction: column;
+  padding: 1px;
+  background-color: var(--jp-layout-color1);
+  box-sizing: border-box;
+  margin-bottom: 12px;
+}
+
+.jp-select-wrapper:not(.multiple) {
+  height: 28px;
+}
+
+.jp-select-wrapper.jp-mod-focused select.jp-mod-styled {
+  border: var(--jp-border-width) solid var(--jp-input-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+  background-color: var(--jp-input-active-background);
+}
+
+select.jp-mod-styled:hover {
+  cursor: pointer;
+  color: var(--jp-ui-font-color0);
+  background-color: var(--jp-input-hover-background);
+  box-shadow: inset 0 0 1px rgba(0, 0, 0, 0.5);
+}
+
+select.jp-mod-styled {
+  flex: 1 1 auto;
+  width: 100%;
+  font-size: var(--jp-ui-font-size2);
+  background: var(--jp-input-background);
+  color: var(--jp-ui-font-color0);
+  padding: 0 25px 0 8px;
+  border: var(--jp-border-width) solid var(--jp-input-border-color);
+  border-radius: 0;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+}
+
+select.jp-mod-styled:not([multiple]) {
+  height: 32px;
+}
+
+select.jp-mod-styled[multiple] {
+  max-height: 200px;
+  overflow-y: auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-switch {
+  display: flex;
+  align-items: center;
+  padding-left: 4px;
+  padding-right: 4px;
+  font-size: var(--jp-ui-font-size1);
+  background-color: transparent;
+  color: var(--jp-ui-font-color1);
+  border: none;
+  height: 20px;
+}
+
+.jp-switch:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-switch-label {
+  margin-right: 5px;
+  font-family: var(--jp-ui-font-family);
+}
+
+.jp-switch-track {
+  cursor: pointer;
+  background-color: var(--jp-switch-color, var(--jp-border-color1));
+  -webkit-transition: 0.4s;
+  transition: 0.4s;
+  border-radius: 34px;
+  height: 16px;
+  width: 35px;
+  position: relative;
+}
+
+.jp-switch-track::before {
+  content: '';
+  position: absolute;
+  height: 10px;
+  width: 10px;
+  margin: 3px;
+  left: 0;
+  background-color: var(--jp-ui-inverse-font-color1);
+  -webkit-transition: 0.4s;
+  transition: 0.4s;
+  border-radius: 50%;
+}
+
+.jp-switch[aria-checked='true'] .jp-switch-track {
+  background-color: var(--jp-switch-true-position-color, var(--jp-warn-color0));
+}
+
+.jp-switch[aria-checked='true'] .jp-switch-track::before {
+  /* track width (35) - margins (3 + 3) - thumb width (10) */
+  left: 19px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-toolbar-height: calc(
+    28px + var(--jp-border-width)
+  ); /* leave 28px for content */
+}
+
+.jp-Toolbar {
+  color: var(--jp-ui-font-color1);
+  flex: 0 0 auto;
+  display: flex;
+  flex-direction: row;
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  background: var(--jp-toolbar-background);
+  min-height: var(--jp-toolbar-micro-height);
+  padding: 2px;
+  z-index: 8;
+  overflow-x: hidden;
+}
+
+/* Toolbar items */
+
+.jp-Toolbar > .jp-Toolbar-item.jp-Toolbar-spacer {
+  flex-grow: 1;
+  flex-shrink: 1;
+}
+
+.jp-Toolbar-item.jp-Toolbar-kernelStatus {
+  display: inline-block;
+  width: 32px;
+  background-repeat: no-repeat;
+  background-position: center;
+  background-size: 16px;
+}
+
+.jp-Toolbar > .jp-Toolbar-item {
+  flex: 0 0 auto;
+  display: flex;
+  padding-left: 1px;
+  padding-right: 1px;
+  font-size: var(--jp-ui-font-size1);
+  line-height: var(--jp-private-toolbar-height);
+  height: 100%;
+}
+
+/* Toolbar buttons */
+
+/* This is the div we use to wrap the react component into a Widget */
+div.jp-ToolbarButton {
+  color: transparent;
+  border: none;
+  box-sizing: border-box;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+  padding: 0;
+  margin: 0;
+}
+
+button.jp-ToolbarButtonComponent {
+  background: var(--jp-layout-color1);
+  border: none;
+  box-sizing: border-box;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+  padding: 0 6px;
+  margin: 0;
+  height: 24px;
+  border-radius: var(--jp-border-radius);
+  display: flex;
+  align-items: center;
+  text-align: center;
+  font-size: 14px;
+  min-width: unset;
+  min-height: unset;
+}
+
+button.jp-ToolbarButtonComponent:disabled {
+  opacity: 0.4;
+}
+
+button.jp-ToolbarButtonComponent > span {
+  padding: 0;
+  flex: 0 0 auto;
+}
+
+button.jp-ToolbarButtonComponent .jp-ToolbarButtonComponent-label {
+  font-size: var(--jp-ui-font-size1);
+  line-height: 100%;
+  padding-left: 2px;
+  color: var(--jp-ui-font-color1);
+  font-family: var(--jp-ui-font-family);
+}
+
+#jp-main-dock-panel[data-mode='single-document']
+  .jp-MainAreaWidget
+  > .jp-Toolbar.jp-Toolbar-micro {
+  padding: 0;
+  min-height: 0;
+}
+
+#jp-main-dock-panel[data-mode='single-document']
+  .jp-MainAreaWidget
+  > .jp-Toolbar {
+  border: none;
+  box-shadow: none;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-WindowedPanel-outer {
+  position: relative;
+  overflow-y: auto;
+}
+
+.jp-WindowedPanel-inner {
+  position: relative;
+}
+
+.jp-WindowedPanel-window {
+  position: absolute;
+  left: 0;
+  right: 0;
+  overflow: visible;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/* Sibling imports */
+
+body {
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+}
+
+/* Disable native link decoration styles everywhere outside of dialog boxes */
+a {
+  text-decoration: unset;
+  color: unset;
+}
+
+a:hover {
+  text-decoration: unset;
+  color: unset;
+}
+
+/* Accessibility for links inside dialog box text */
+.jp-Dialog-content a {
+  text-decoration: revert;
+  color: var(--jp-content-link-color);
+}
+
+.jp-Dialog-content a:hover {
+  text-decoration: revert;
+}
+
+/* Styles for ui-components */
+.jp-Button {
+  color: var(--jp-ui-font-color2);
+  border-radius: var(--jp-border-radius);
+  padding: 0 12px;
+  font-size: var(--jp-ui-font-size1);
+
+  /* Copy from blueprint 3 */
+  display: inline-flex;
+  flex-direction: row;
+  border: none;
+  cursor: pointer;
+  align-items: center;
+  justify-content: center;
+  text-align: left;
+  vertical-align: middle;
+  min-height: 30px;
+  min-width: 30px;
+}
+
+.jp-Button:disabled {
+  cursor: not-allowed;
+}
+
+.jp-Button:empty {
+  padding: 0 !important;
+}
+
+.jp-Button.jp-mod-small {
+  min-height: 24px;
+  min-width: 24px;
+  font-size: 12px;
+  padding: 0 7px;
+}
+
+/* Use our own theme for hover styles */
+.jp-Button.jp-mod-minimal:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-Button.jp-mod-minimal {
+  background: none;
+}
+
+.jp-InputGroup {
+  display: block;
+  position: relative;
+}
+
+.jp-InputGroup input {
+  box-sizing: border-box;
+  border: none;
+  border-radius: 0;
+  background-color: transparent;
+  color: var(--jp-ui-font-color0);
+  box-shadow: inset 0 0 0 var(--jp-border-width) var(--jp-input-border-color);
+  padding-bottom: 0;
+  padding-top: 0;
+  padding-left: 10px;
+  padding-right: 28px;
+  position: relative;
+  width: 100%;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+  appearance: none;
+  font-size: 14px;
+  font-weight: 400;
+  height: 30px;
+  line-height: 30px;
+  outline: none;
+  vertical-align: middle;
+}
+
+.jp-InputGroup input:focus {
+  box-shadow: inset 0 0 0 var(--jp-border-width)
+      var(--jp-input-active-box-shadow-color),
+    inset 0 0 0 3px var(--jp-input-active-box-shadow-color);
+}
+
+.jp-InputGroup input:disabled {
+  cursor: not-allowed;
+  resize: block;
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-InputGroup input:disabled ~ span {
+  cursor: not-allowed;
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-InputGroup input::placeholder,
+input::placeholder {
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-InputGroupAction {
+  position: absolute;
+  bottom: 1px;
+  right: 0;
+  padding: 6px;
+}
+
+.jp-HTMLSelect.jp-DefaultStyle select {
+  background-color: initial;
+  border: none;
+  border-radius: 0;
+  box-shadow: none;
+  color: var(--jp-ui-font-color0);
+  display: block;
+  font-size: var(--jp-ui-font-size1);
+  font-family: var(--jp-ui-font-family);
+  height: 24px;
+  line-height: 14px;
+  padding: 0 25px 0 10px;
+  text-align: left;
+  -moz-appearance: none;
+  -webkit-appearance: none;
+}
+
+.jp-HTMLSelect.jp-DefaultStyle select:disabled {
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color2);
+  cursor: not-allowed;
+  resize: block;
+}
+
+.jp-HTMLSelect.jp-DefaultStyle select:disabled ~ span {
+  cursor: not-allowed;
+}
+
+/* Use our own theme for hover and option styles */
+/* stylelint-disable-next-line selector-max-type */
+.jp-HTMLSelect.jp-DefaultStyle select:hover,
+.jp-HTMLSelect.jp-DefaultStyle select > option {
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color0);
+}
+
+select {
+  box-sizing: border-box;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Styles
+|----------------------------------------------------------------------------*/
+
+.jp-StatusBar-Widget {
+  display: flex;
+  align-items: center;
+  background: var(--jp-layout-color2);
+  min-height: var(--jp-statusbar-height);
+  justify-content: space-between;
+  padding: 0 10px;
+}
+
+.jp-StatusBar-Left {
+  display: flex;
+  align-items: center;
+  flex-direction: row;
+}
+
+.jp-StatusBar-Middle {
+  display: flex;
+  align-items: center;
+}
+
+.jp-StatusBar-Right {
+  display: flex;
+  align-items: center;
+  flex-direction: row-reverse;
+}
+
+.jp-StatusBar-Item {
+  max-height: var(--jp-statusbar-height);
+  margin: 0 2px;
+  height: var(--jp-statusbar-height);
+  white-space: nowrap;
+  text-overflow: ellipsis;
+  color: var(--jp-ui-font-color1);
+  padding: 0 6px;
+}
+
+.jp-mod-highlighted:hover {
+  background-color: var(--jp-layout-color3);
+}
+
+.jp-mod-clicked {
+  background-color: var(--jp-brand-color1);
+}
+
+.jp-mod-clicked:hover {
+  background-color: var(--jp-brand-color0);
+}
+
+.jp-mod-clicked .jp-StatusBar-TextItem {
+  color: var(--jp-ui-inverse-font-color1);
+}
+
+.jp-StatusBar-HoverItem {
+  box-shadow: '0px 4px 4px rgba(0, 0, 0, 0.25)';
+}
+
+.jp-StatusBar-TextItem {
+  font-size: var(--jp-ui-font-size1);
+  font-family: var(--jp-ui-font-family);
+  line-height: 24px;
+  color: var(--jp-ui-font-color1);
+}
+
+.jp-StatusBar-GroupItem {
+  display: flex;
+  align-items: center;
+  flex-direction: row;
+}
+
+.jp-Statusbar-ProgressCircle svg {
+  display: block;
+  margin: 0 auto;
+  width: 16px;
+  height: 24px;
+  align-self: normal;
+}
+
+.jp-Statusbar-ProgressCircle path {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-Statusbar-ProgressBar-progress-bar {
+  height: 10px;
+  width: 100px;
+  border: solid 0.25px var(--jp-brand-color2);
+  border-radius: 3px;
+  overflow: hidden;
+  align-self: center;
+}
+
+.jp-Statusbar-ProgressBar-progress-bar > div {
+  background-color: var(--jp-brand-color2);
+  background-image: linear-gradient(
+    -45deg,
+    rgba(255, 255, 255, 0.2) 25%,
+    transparent 25%,
+    transparent 50%,
+    rgba(255, 255, 255, 0.2) 50%,
+    rgba(255, 255, 255, 0.2) 75%,
+    transparent 75%,
+    transparent
+  );
+  background-size: 40px 40px;
+  float: left;
+  width: 0%;
+  height: 100%;
+  font-size: 12px;
+  line-height: 14px;
+  color: #fff;
+  text-align: center;
+  animation: jp-Statusbar-ExecutionTime-progress-bar 2s linear infinite;
+}
+
+.jp-Statusbar-ProgressBar-progress-bar p {
+  color: var(--jp-ui-font-color1);
+  font-family: var(--jp-ui-font-family);
+  font-size: var(--jp-ui-font-size1);
+  line-height: 10px;
+  width: 100px;
+}
+
+@keyframes jp-Statusbar-ExecutionTime-progress-bar {
+  0% {
+    background-position: 0 0;
+  }
+
+  100% {
+    background-position: 40px 40px;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-commandpalette-search-height: 28px;
+}
+
+/*-----------------------------------------------------------------------------
+| Overall styles
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette {
+  padding-bottom: 0;
+  color: var(--jp-ui-font-color1);
+  background: var(--jp-layout-color1);
+
+  /* This is needed so that all font sizing of children done in ems is
+   * relative to this base size */
+  font-size: var(--jp-ui-font-size1);
+}
+
+/*-----------------------------------------------------------------------------
+| Modal variant
+|----------------------------------------------------------------------------*/
+
+.jp-ModalCommandPalette {
+  position: absolute;
+  z-index: 10000;
+  top: 38px;
+  left: 30%;
+  margin: 0;
+  padding: 4px;
+  width: 40%;
+  box-shadow: var(--jp-elevation-z4);
+  border-radius: 4px;
+  background: var(--jp-layout-color0);
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette {
+  max-height: 40vh;
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette .lm-close-icon::after {
+  display: none;
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette .lm-CommandPalette-header {
+  display: none;
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette .lm-CommandPalette-item {
+  margin-left: 4px;
+  margin-right: 4px;
+}
+
+.jp-ModalCommandPalette
+  .lm-CommandPalette
+  .lm-CommandPalette-item.lm-mod-disabled {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Search
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette-search {
+  padding: 4px;
+  background-color: var(--jp-layout-color1);
+  z-index: 2;
+}
+
+.lm-CommandPalette-wrapper {
+  overflow: overlay;
+  padding: 0 9px;
+  background-color: var(--jp-input-active-background);
+  height: 30px;
+  box-shadow: inset 0 0 0 var(--jp-border-width) var(--jp-input-border-color);
+}
+
+.lm-CommandPalette.lm-mod-focused .lm-CommandPalette-wrapper {
+  box-shadow: inset 0 0 0 1px var(--jp-input-active-box-shadow-color),
+    inset 0 0 0 3px var(--jp-input-active-box-shadow-color);
+}
+
+.jp-SearchIconGroup {
+  color: white;
+  background-color: var(--jp-brand-color1);
+  position: absolute;
+  top: 4px;
+  right: 4px;
+  padding: 5px 5px 1px;
+}
+
+.jp-SearchIconGroup svg {
+  height: 20px;
+  width: 20px;
+}
+
+.jp-SearchIconGroup .jp-icon3[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.lm-CommandPalette-input {
+  background: transparent;
+  width: calc(100% - 18px);
+  float: left;
+  border: none;
+  outline: none;
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color0);
+  line-height: var(--jp-private-commandpalette-search-height);
+}
+
+.lm-CommandPalette-input::-webkit-input-placeholder,
+.lm-CommandPalette-input::-moz-placeholder,
+.lm-CommandPalette-input:-ms-input-placeholder {
+  color: var(--jp-ui-font-color2);
+  font-size: var(--jp-ui-font-size1);
+}
+
+/*-----------------------------------------------------------------------------
+| Results
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette-header:first-child {
+  margin-top: 0;
+}
+
+.lm-CommandPalette-header {
+  border-bottom: solid var(--jp-border-width) var(--jp-border-color2);
+  color: var(--jp-ui-font-color1);
+  cursor: pointer;
+  display: flex;
+  font-size: var(--jp-ui-font-size0);
+  font-weight: 600;
+  letter-spacing: 1px;
+  margin-top: 8px;
+  padding: 8px 0 8px 12px;
+  text-transform: uppercase;
+}
+
+.lm-CommandPalette-header.lm-mod-active {
+  background: var(--jp-layout-color2);
+}
+
+.lm-CommandPalette-header > mark {
+  background-color: transparent;
+  font-weight: bold;
+  color: var(--jp-ui-font-color1);
+}
+
+.lm-CommandPalette-item {
+  padding: 4px 12px 4px 4px;
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  font-weight: 400;
+  display: flex;
+}
+
+.lm-CommandPalette-item.lm-mod-disabled {
+  color: var(--jp-ui-font-color2);
+}
+
+.lm-CommandPalette-item.lm-mod-active {
+  color: var(--jp-ui-inverse-font-color1);
+  background: var(--jp-brand-color1);
+}
+
+.lm-CommandPalette-item.lm-mod-active .lm-CommandPalette-itemLabel > mark {
+  color: var(--jp-ui-inverse-font-color0);
+}
+
+.lm-CommandPalette-item.lm-mod-active .jp-icon-selectable[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.lm-CommandPalette-item.lm-mod-active:hover:not(.lm-mod-disabled) {
+  color: var(--jp-ui-inverse-font-color1);
+  background: var(--jp-brand-color1);
+}
+
+.lm-CommandPalette-item:hover:not(.lm-mod-active):not(.lm-mod-disabled) {
+  background: var(--jp-layout-color2);
+}
+
+.lm-CommandPalette-itemContent {
+  overflow: hidden;
+}
+
+.lm-CommandPalette-itemLabel > mark {
+  color: var(--jp-ui-font-color0);
+  background-color: transparent;
+  font-weight: bold;
+}
+
+.lm-CommandPalette-item.lm-mod-disabled mark {
+  color: var(--jp-ui-font-color2);
+}
+
+.lm-CommandPalette-item .lm-CommandPalette-itemIcon {
+  margin: 0 4px 0 0;
+  position: relative;
+  width: 16px;
+  top: 2px;
+  flex: 0 0 auto;
+}
+
+.lm-CommandPalette-item.lm-mod-disabled .lm-CommandPalette-itemIcon {
+  opacity: 0.6;
+}
+
+.lm-CommandPalette-item .lm-CommandPalette-itemShortcut {
+  flex: 0 0 auto;
+}
+
+.lm-CommandPalette-itemCaption {
+  display: none;
+}
+
+.lm-CommandPalette-content {
+  background-color: var(--jp-layout-color1);
+}
+
+.lm-CommandPalette-content:empty::after {
+  content: 'No results';
+  margin: auto;
+  margin-top: 20px;
+  width: 100px;
+  display: block;
+  font-size: var(--jp-ui-font-size2);
+  font-family: var(--jp-ui-font-family);
+  font-weight: lighter;
+}
+
+.lm-CommandPalette-emptyMessage {
+  text-align: center;
+  margin-top: 24px;
+  line-height: 1.32;
+  padding: 0 8px;
+  color: var(--jp-content-font-color3);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Dialog {
+  position: absolute;
+  z-index: 10000;
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  justify-content: center;
+  top: 0;
+  left: 0;
+  margin: 0;
+  padding: 0;
+  width: 100%;
+  height: 100%;
+  background: var(--jp-dialog-background);
+}
+
+.jp-Dialog-content {
+  display: flex;
+  flex-direction: column;
+  margin-left: auto;
+  margin-right: auto;
+  background: var(--jp-layout-color1);
+  padding: 24px 24px 12px;
+  min-width: 300px;
+  min-height: 150px;
+  max-width: 1000px;
+  max-height: 500px;
+  box-sizing: border-box;
+  box-shadow: var(--jp-elevation-z20);
+  word-wrap: break-word;
+  border-radius: var(--jp-border-radius);
+
+  /* This is needed so that all font sizing of children done in ems is
+   * relative to this base size */
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color1);
+  resize: both;
+}
+
+.jp-Dialog-content.jp-Dialog-content-small {
+  max-width: 500px;
+}
+
+.jp-Dialog-button {
+  overflow: visible;
+}
+
+button.jp-Dialog-button:focus {
+  outline: 1px solid var(--jp-brand-color1);
+  outline-offset: 4px;
+  -moz-outline-radius: 0;
+}
+
+button.jp-Dialog-button:focus::-moz-focus-inner {
+  border: 0;
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-accept:focus,
+button.jp-Dialog-button.jp-mod-styled.jp-mod-warn:focus,
+button.jp-Dialog-button.jp-mod-styled.jp-mod-reject:focus {
+  outline-offset: 4px;
+  -moz-outline-radius: 0;
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-accept:focus {
+  outline: 1px solid var(--jp-accept-color-normal, var(--jp-brand-color1));
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-warn:focus {
+  outline: 1px solid var(--jp-warn-color-normal, var(--jp-error-color1));
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-reject:focus {
+  outline: 1px solid var(--jp-reject-color-normal, var(--md-grey-600));
+}
+
+button.jp-Dialog-close-button {
+  padding: 0;
+  height: 100%;
+  min-width: unset;
+  min-height: unset;
+}
+
+.jp-Dialog-header {
+  display: flex;
+  justify-content: space-between;
+  flex: 0 0 auto;
+  padding-bottom: 12px;
+  font-size: var(--jp-ui-font-size3);
+  font-weight: 400;
+  color: var(--jp-ui-font-color1);
+}
+
+.jp-Dialog-body {
+  display: flex;
+  flex-direction: column;
+  flex: 1 1 auto;
+  font-size: var(--jp-ui-font-size1);
+  background: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  overflow: auto;
+}
+
+.jp-Dialog-footer {
+  display: flex;
+  flex-direction: row;
+  justify-content: flex-end;
+  align-items: center;
+  flex: 0 0 auto;
+  margin-left: -12px;
+  margin-right: -12px;
+  padding: 12px;
+}
+
+.jp-Dialog-checkbox {
+  padding-right: 5px;
+}
+
+.jp-Dialog-checkbox > input:focus-visible {
+  outline: 1px solid var(--jp-input-active-border-color);
+  outline-offset: 1px;
+}
+
+.jp-Dialog-spacer {
+  flex: 1 1 auto;
+}
+
+.jp-Dialog-title {
+  overflow: hidden;
+  white-space: nowrap;
+  text-overflow: ellipsis;
+}
+
+.jp-Dialog-body > .jp-select-wrapper {
+  width: 100%;
+}
+
+.jp-Dialog-body > button {
+  padding: 0 16px;
+}
+
+.jp-Dialog-body > label {
+  line-height: 1.4;
+  color: var(--jp-ui-font-color0);
+}
+
+.jp-Dialog-button.jp-mod-styled:not(:last-child) {
+  margin-right: 12px;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-Input-Boolean-Dialog {
+  flex-direction: row-reverse;
+  align-items: end;
+  width: 100%;
+}
+
+.jp-Input-Boolean-Dialog > label {
+  flex: 1 1 auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-MainAreaWidget > :focus {
+  outline: none;
+}
+
+.jp-MainAreaWidget .jp-MainAreaWidget-error {
+  padding: 6px;
+}
+
+.jp-MainAreaWidget .jp-MainAreaWidget-error > pre {
+  width: auto;
+  padding: 10px;
+  background: var(--jp-error-color3);
+  border: var(--jp-border-width) solid var(--jp-error-color1);
+  border-radius: var(--jp-border-radius);
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  white-space: pre-wrap;
+  word-wrap: break-word;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/**
+ * google-material-color v1.2.6
+ * https://github.com/danlevan/google-material-color
+ */
+:root {
+  --md-red-50: #ffebee;
+  --md-red-100: #ffcdd2;
+  --md-red-200: #ef9a9a;
+  --md-red-300: #e57373;
+  --md-red-400: #ef5350;
+  --md-red-500: #f44336;
+  --md-red-600: #e53935;
+  --md-red-700: #d32f2f;
+  --md-red-800: #c62828;
+  --md-red-900: #b71c1c;
+  --md-red-A100: #ff8a80;
+  --md-red-A200: #ff5252;
+  --md-red-A400: #ff1744;
+  --md-red-A700: #d50000;
+  --md-pink-50: #fce4ec;
+  --md-pink-100: #f8bbd0;
+  --md-pink-200: #f48fb1;
+  --md-pink-300: #f06292;
+  --md-pink-400: #ec407a;
+  --md-pink-500: #e91e63;
+  --md-pink-600: #d81b60;
+  --md-pink-700: #c2185b;
+  --md-pink-800: #ad1457;
+  --md-pink-900: #880e4f;
+  --md-pink-A100: #ff80ab;
+  --md-pink-A200: #ff4081;
+  --md-pink-A400: #f50057;
+  --md-pink-A700: #c51162;
+  --md-purple-50: #f3e5f5;
+  --md-purple-100: #e1bee7;
+  --md-purple-200: #ce93d8;
+  --md-purple-300: #ba68c8;
+  --md-purple-400: #ab47bc;
+  --md-purple-500: #9c27b0;
+  --md-purple-600: #8e24aa;
+  --md-purple-700: #7b1fa2;
+  --md-purple-800: #6a1b9a;
+  --md-purple-900: #4a148c;
+  --md-purple-A100: #ea80fc;
+  --md-purple-A200: #e040fb;
+  --md-purple-A400: #d500f9;
+  --md-purple-A700: #a0f;
+  --md-deep-purple-50: #ede7f6;
+  --md-deep-purple-100: #d1c4e9;
+  --md-deep-purple-200: #b39ddb;
+  --md-deep-purple-300: #9575cd;
+  --md-deep-purple-400: #7e57c2;
+  --md-deep-purple-500: #673ab7;
+  --md-deep-purple-600: #5e35b1;
+  --md-deep-purple-700: #512da8;
+  --md-deep-purple-800: #4527a0;
+  --md-deep-purple-900: #311b92;
+  --md-deep-purple-A100: #b388ff;
+  --md-deep-purple-A200: #7c4dff;
+  --md-deep-purple-A400: #651fff;
+  --md-deep-purple-A700: #6200ea;
+  --md-indigo-50: #e8eaf6;
+  --md-indigo-100: #c5cae9;
+  --md-indigo-200: #9fa8da;
+  --md-indigo-300: #7986cb;
+  --md-indigo-400: #5c6bc0;
+  --md-indigo-500: #3f51b5;
+  --md-indigo-600: #3949ab;
+  --md-indigo-700: #303f9f;
+  --md-indigo-800: #283593;
+  --md-indigo-900: #1a237e;
+  --md-indigo-A100: #8c9eff;
+  --md-indigo-A200: #536dfe;
+  --md-indigo-A400: #3d5afe;
+  --md-indigo-A700: #304ffe;
+  --md-blue-50: #e3f2fd;
+  --md-blue-100: #bbdefb;
+  --md-blue-200: #90caf9;
+  --md-blue-300: #64b5f6;
+  --md-blue-400: #42a5f5;
+  --md-blue-500: #2196f3;
+  --md-blue-600: #1e88e5;
+  --md-blue-700: #1976d2;
+  --md-blue-800: #1565c0;
+  --md-blue-900: #0d47a1;
+  --md-blue-A100: #82b1ff;
+  --md-blue-A200: #448aff;
+  --md-blue-A400: #2979ff;
+  --md-blue-A700: #2962ff;
+  --md-light-blue-50: #e1f5fe;
+  --md-light-blue-100: #b3e5fc;
+  --md-light-blue-200: #81d4fa;
+  --md-light-blue-300: #4fc3f7;
+  --md-light-blue-400: #29b6f6;
+  --md-light-blue-500: #03a9f4;
+  --md-light-blue-600: #039be5;
+  --md-light-blue-700: #0288d1;
+  --md-light-blue-800: #0277bd;
+  --md-light-blue-900: #01579b;
+  --md-light-blue-A100: #80d8ff;
+  --md-light-blue-A200: #40c4ff;
+  --md-light-blue-A400: #00b0ff;
+  --md-light-blue-A700: #0091ea;
+  --md-cyan-50: #e0f7fa;
+  --md-cyan-100: #b2ebf2;
+  --md-cyan-200: #80deea;
+  --md-cyan-300: #4dd0e1;
+  --md-cyan-400: #26c6da;
+  --md-cyan-500: #00bcd4;
+  --md-cyan-600: #00acc1;
+  --md-cyan-700: #0097a7;
+  --md-cyan-800: #00838f;
+  --md-cyan-900: #006064;
+  --md-cyan-A100: #84ffff;
+  --md-cyan-A200: #18ffff;
+  --md-cyan-A400: #00e5ff;
+  --md-cyan-A700: #00b8d4;
+  --md-teal-50: #e0f2f1;
+  --md-teal-100: #b2dfdb;
+  --md-teal-200: #80cbc4;
+  --md-teal-300: #4db6ac;
+  --md-teal-400: #26a69a;
+  --md-teal-500: #009688;
+  --md-teal-600: #00897b;
+  --md-teal-700: #00796b;
+  --md-teal-800: #00695c;
+  --md-teal-900: #004d40;
+  --md-teal-A100: #a7ffeb;
+  --md-teal-A200: #64ffda;
+  --md-teal-A400: #1de9b6;
+  --md-teal-A700: #00bfa5;
+  --md-green-50: #e8f5e9;
+  --md-green-100: #c8e6c9;
+  --md-green-200: #a5d6a7;
+  --md-green-300: #81c784;
+  --md-green-400: #66bb6a;
+  --md-green-500: #4caf50;
+  --md-green-600: #43a047;
+  --md-green-700: #388e3c;
+  --md-green-800: #2e7d32;
+  --md-green-900: #1b5e20;
+  --md-green-A100: #b9f6ca;
+  --md-green-A200: #69f0ae;
+  --md-green-A400: #00e676;
+  --md-green-A700: #00c853;
+  --md-light-green-50: #f1f8e9;
+  --md-light-green-100: #dcedc8;
+  --md-light-green-200: #c5e1a5;
+  --md-light-green-300: #aed581;
+  --md-light-green-400: #9ccc65;
+  --md-light-green-500: #8bc34a;
+  --md-light-green-600: #7cb342;
+  --md-light-green-700: #689f38;
+  --md-light-green-800: #558b2f;
+  --md-light-green-900: #33691e;
+  --md-light-green-A100: #ccff90;
+  --md-light-green-A200: #b2ff59;
+  --md-light-green-A400: #76ff03;
+  --md-light-green-A700: #64dd17;
+  --md-lime-50: #f9fbe7;
+  --md-lime-100: #f0f4c3;
+  --md-lime-200: #e6ee9c;
+  --md-lime-300: #dce775;
+  --md-lime-400: #d4e157;
+  --md-lime-500: #cddc39;
+  --md-lime-600: #c0ca33;
+  --md-lime-700: #afb42b;
+  --md-lime-800: #9e9d24;
+  --md-lime-900: #827717;
+  --md-lime-A100: #f4ff81;
+  --md-lime-A200: #eeff41;
+  --md-lime-A400: #c6ff00;
+  --md-lime-A700: #aeea00;
+  --md-yellow-50: #fffde7;
+  --md-yellow-100: #fff9c4;
+  --md-yellow-200: #fff59d;
+  --md-yellow-300: #fff176;
+  --md-yellow-400: #ffee58;
+  --md-yellow-500: #ffeb3b;
+  --md-yellow-600: #fdd835;
+  --md-yellow-700: #fbc02d;
+  --md-yellow-800: #f9a825;
+  --md-yellow-900: #f57f17;
+  --md-yellow-A100: #ffff8d;
+  --md-yellow-A200: #ff0;
+  --md-yellow-A400: #ffea00;
+  --md-yellow-A700: #ffd600;
+  --md-amber-50: #fff8e1;
+  --md-amber-100: #ffecb3;
+  --md-amber-200: #ffe082;
+  --md-amber-300: #ffd54f;
+  --md-amber-400: #ffca28;
+  --md-amber-500: #ffc107;
+  --md-amber-600: #ffb300;
+  --md-amber-700: #ffa000;
+  --md-amber-800: #ff8f00;
+  --md-amber-900: #ff6f00;
+  --md-amber-A100: #ffe57f;
+  --md-amber-A200: #ffd740;
+  --md-amber-A400: #ffc400;
+  --md-amber-A700: #ffab00;
+  --md-orange-50: #fff3e0;
+  --md-orange-100: #ffe0b2;
+  --md-orange-200: #ffcc80;
+  --md-orange-300: #ffb74d;
+  --md-orange-400: #ffa726;
+  --md-orange-500: #ff9800;
+  --md-orange-600: #fb8c00;
+  --md-orange-700: #f57c00;
+  --md-orange-800: #ef6c00;
+  --md-orange-900: #e65100;
+  --md-orange-A100: #ffd180;
+  --md-orange-A200: #ffab40;
+  --md-orange-A400: #ff9100;
+  --md-orange-A700: #ff6d00;
+  --md-deep-orange-50: #fbe9e7;
+  --md-deep-orange-100: #ffccbc;
+  --md-deep-orange-200: #ffab91;
+  --md-deep-orange-300: #ff8a65;
+  --md-deep-orange-400: #ff7043;
+  --md-deep-orange-500: #ff5722;
+  --md-deep-orange-600: #f4511e;
+  --md-deep-orange-700: #e64a19;
+  --md-deep-orange-800: #d84315;
+  --md-deep-orange-900: #bf360c;
+  --md-deep-orange-A100: #ff9e80;
+  --md-deep-orange-A200: #ff6e40;
+  --md-deep-orange-A400: #ff3d00;
+  --md-deep-orange-A700: #dd2c00;
+  --md-brown-50: #efebe9;
+  --md-brown-100: #d7ccc8;
+  --md-brown-200: #bcaaa4;
+  --md-brown-300: #a1887f;
+  --md-brown-400: #8d6e63;
+  --md-brown-500: #795548;
+  --md-brown-600: #6d4c41;
+  --md-brown-700: #5d4037;
+  --md-brown-800: #4e342e;
+  --md-brown-900: #3e2723;
+  --md-grey-50: #fafafa;
+  --md-grey-100: #f5f5f5;
+  --md-grey-200: #eee;
+  --md-grey-300: #e0e0e0;
+  --md-grey-400: #bdbdbd;
+  --md-grey-500: #9e9e9e;
+  --md-grey-600: #757575;
+  --md-grey-700: #616161;
+  --md-grey-800: #424242;
+  --md-grey-900: #212121;
+  --md-blue-grey-50: #eceff1;
+  --md-blue-grey-100: #cfd8dc;
+  --md-blue-grey-200: #b0bec5;
+  --md-blue-grey-300: #90a4ae;
+  --md-blue-grey-400: #78909c;
+  --md-blue-grey-500: #607d8b;
+  --md-blue-grey-600: #546e7a;
+  --md-blue-grey-700: #455a64;
+  --md-blue-grey-800: #37474f;
+  --md-blue-grey-900: #263238;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| RenderedText
+|----------------------------------------------------------------------------*/
+
+:root {
+  /* This is the padding value to fill the gaps between lines containing spans with background color. */
+  --jp-private-code-span-padding: calc(
+    (var(--jp-code-line-height) - 1) * var(--jp-code-font-size) / 2
+  );
+}
+
+.jp-RenderedText {
+  text-align: left;
+  padding-left: var(--jp-code-padding);
+  line-height: var(--jp-code-line-height);
+  font-family: var(--jp-code-font-family);
+}
+
+.jp-RenderedText pre,
+.jp-RenderedJavaScript pre,
+.jp-RenderedHTMLCommon pre {
+  color: var(--jp-content-font-color1);
+  font-size: var(--jp-code-font-size);
+  border: none;
+  margin: 0;
+  padding: 0;
+}
+
+.jp-RenderedText pre a:link {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+.jp-RenderedText pre a:hover {
+  text-decoration: underline;
+  color: var(--jp-content-link-color);
+}
+
+.jp-RenderedText pre a:visited {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+/* console foregrounds and backgrounds */
+.jp-RenderedText pre .ansi-black-fg {
+  color: #3e424d;
+}
+
+.jp-RenderedText pre .ansi-red-fg {
+  color: #e75c58;
+}
+
+.jp-RenderedText pre .ansi-green-fg {
+  color: #00a250;
+}
+
+.jp-RenderedText pre .ansi-yellow-fg {
+  color: #ddb62b;
+}
+
+.jp-RenderedText pre .ansi-blue-fg {
+  color: #208ffb;
+}
+
+.jp-RenderedText pre .ansi-magenta-fg {
+  color: #d160c4;
+}
+
+.jp-RenderedText pre .ansi-cyan-fg {
+  color: #60c6c8;
+}
+
+.jp-RenderedText pre .ansi-white-fg {
+  color: #c5c1b4;
+}
+
+.jp-RenderedText pre .ansi-black-bg {
+  background-color: #3e424d;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-red-bg {
+  background-color: #e75c58;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-green-bg {
+  background-color: #00a250;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-yellow-bg {
+  background-color: #ddb62b;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-blue-bg {
+  background-color: #208ffb;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-magenta-bg {
+  background-color: #d160c4;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-cyan-bg {
+  background-color: #60c6c8;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-white-bg {
+  background-color: #c5c1b4;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-black-intense-fg {
+  color: #282c36;
+}
+
+.jp-RenderedText pre .ansi-red-intense-fg {
+  color: #b22b31;
+}
+
+.jp-RenderedText pre .ansi-green-intense-fg {
+  color: #007427;
+}
+
+.jp-RenderedText pre .ansi-yellow-intense-fg {
+  color: #b27d12;
+}
+
+.jp-RenderedText pre .ansi-blue-intense-fg {
+  color: #0065ca;
+}
+
+.jp-RenderedText pre .ansi-magenta-intense-fg {
+  color: #a03196;
+}
+
+.jp-RenderedText pre .ansi-cyan-intense-fg {
+  color: #258f8f;
+}
+
+.jp-RenderedText pre .ansi-white-intense-fg {
+  color: #a1a6b2;
+}
+
+.jp-RenderedText pre .ansi-black-intense-bg {
+  background-color: #282c36;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-red-intense-bg {
+  background-color: #b22b31;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-green-intense-bg {
+  background-color: #007427;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-yellow-intense-bg {
+  background-color: #b27d12;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-blue-intense-bg {
+  background-color: #0065ca;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-magenta-intense-bg {
+  background-color: #a03196;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-cyan-intense-bg {
+  background-color: #258f8f;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-white-intense-bg {
+  background-color: #a1a6b2;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-default-inverse-fg {
+  color: var(--jp-ui-inverse-font-color0);
+}
+
+.jp-RenderedText pre .ansi-default-inverse-bg {
+  background-color: var(--jp-inverse-layout-color0);
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-bold {
+  font-weight: bold;
+}
+
+.jp-RenderedText pre .ansi-underline {
+  text-decoration: underline;
+}
+
+.jp-RenderedText[data-mime-type='application/vnd.jupyter.stderr'] {
+  background: var(--jp-rendermime-error-background);
+  padding-top: var(--jp-code-padding);
+}
+
+/*-----------------------------------------------------------------------------
+| RenderedLatex
+|----------------------------------------------------------------------------*/
+
+.jp-RenderedLatex {
+  color: var(--jp-content-font-color1);
+  font-size: var(--jp-content-font-size1);
+  line-height: var(--jp-content-line-height);
+}
+
+/* Left-justify outputs.*/
+.jp-OutputArea-output.jp-RenderedLatex {
+  padding: var(--jp-code-padding);
+  text-align: left;
+}
+
+/*-----------------------------------------------------------------------------
+| RenderedHTML
+|----------------------------------------------------------------------------*/
+
+.jp-RenderedHTMLCommon {
+  color: var(--jp-content-font-color1);
+  font-family: var(--jp-content-font-family);
+  font-size: var(--jp-content-font-size1);
+  line-height: var(--jp-content-line-height);
+
+  /* Give a bit more R padding on Markdown text to keep line lengths reasonable */
+  padding-right: 20px;
+}
+
+.jp-RenderedHTMLCommon em {
+  font-style: italic;
+}
+
+.jp-RenderedHTMLCommon strong {
+  font-weight: bold;
+}
+
+.jp-RenderedHTMLCommon u {
+  text-decoration: underline;
+}
+
+.jp-RenderedHTMLCommon a:link {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+.jp-RenderedHTMLCommon a:hover {
+  text-decoration: underline;
+  color: var(--jp-content-link-color);
+}
+
+.jp-RenderedHTMLCommon a:visited {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+/* Headings */
+
+.jp-RenderedHTMLCommon h1,
+.jp-RenderedHTMLCommon h2,
+.jp-RenderedHTMLCommon h3,
+.jp-RenderedHTMLCommon h4,
+.jp-RenderedHTMLCommon h5,
+.jp-RenderedHTMLCommon h6 {
+  line-height: var(--jp-content-heading-line-height);
+  font-weight: var(--jp-content-heading-font-weight);
+  font-style: normal;
+  margin: var(--jp-content-heading-margin-top) 0
+    var(--jp-content-heading-margin-bottom) 0;
+}
+
+.jp-RenderedHTMLCommon h1:first-child,
+.jp-RenderedHTMLCommon h2:first-child,
+.jp-RenderedHTMLCommon h3:first-child,
+.jp-RenderedHTMLCommon h4:first-child,
+.jp-RenderedHTMLCommon h5:first-child,
+.jp-RenderedHTMLCommon h6:first-child {
+  margin-top: calc(0.5 * var(--jp-content-heading-margin-top));
+}
+
+.jp-RenderedHTMLCommon h1:last-child,
+.jp-RenderedHTMLCommon h2:last-child,
+.jp-RenderedHTMLCommon h3:last-child,
+.jp-RenderedHTMLCommon h4:last-child,
+.jp-RenderedHTMLCommon h5:last-child,
+.jp-RenderedHTMLCommon h6:last-child {
+  margin-bottom: calc(0.5 * var(--jp-content-heading-margin-bottom));
+}
+
+.jp-RenderedHTMLCommon h1 {
+  font-size: var(--jp-content-font-size5);
+}
+
+.jp-RenderedHTMLCommon h2 {
+  font-size: var(--jp-content-font-size4);
+}
+
+.jp-RenderedHTMLCommon h3 {
+  font-size: var(--jp-content-font-size3);
+}
+
+.jp-RenderedHTMLCommon h4 {
+  font-size: var(--jp-content-font-size2);
+}
+
+.jp-RenderedHTMLCommon h5 {
+  font-size: var(--jp-content-font-size1);
+}
+
+.jp-RenderedHTMLCommon h6 {
+  font-size: var(--jp-content-font-size0);
+}
+
+/* Lists */
+
+/* stylelint-disable selector-max-type, selector-max-compound-selectors */
+
+.jp-RenderedHTMLCommon ul:not(.list-inline),
+.jp-RenderedHTMLCommon ol:not(.list-inline) {
+  padding-left: 2em;
+}
+
+.jp-RenderedHTMLCommon ul {
+  list-style: disc;
+}
+
+.jp-RenderedHTMLCommon ul ul {
+  list-style: square;
+}
+
+.jp-RenderedHTMLCommon ul ul ul {
+  list-style: circle;
+}
+
+.jp-RenderedHTMLCommon ol {
+  list-style: decimal;
+}
+
+.jp-RenderedHTMLCommon ol ol {
+  list-style: upper-alpha;
+}
+
+.jp-RenderedHTMLCommon ol ol ol {
+  list-style: lower-alpha;
+}
+
+.jp-RenderedHTMLCommon ol ol ol ol {
+  list-style: lower-roman;
+}
+
+.jp-RenderedHTMLCommon ol ol ol ol ol {
+  list-style: decimal;
+}
+
+.jp-RenderedHTMLCommon ol,
+.jp-RenderedHTMLCommon ul {
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon ul ul,
+.jp-RenderedHTMLCommon ul ol,
+.jp-RenderedHTMLCommon ol ul,
+.jp-RenderedHTMLCommon ol ol {
+  margin-bottom: 0;
+}
+
+/* stylelint-enable selector-max-type, selector-max-compound-selectors */
+
+.jp-RenderedHTMLCommon hr {
+  color: var(--jp-border-color2);
+  background-color: var(--jp-border-color1);
+  margin-top: 1em;
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon > pre {
+  margin: 1.5em 2em;
+}
+
+.jp-RenderedHTMLCommon pre,
+.jp-RenderedHTMLCommon code {
+  border: 0;
+  background-color: var(--jp-layout-color0);
+  color: var(--jp-content-font-color1);
+  font-family: var(--jp-code-font-family);
+  font-size: inherit;
+  line-height: var(--jp-code-line-height);
+  padding: 0;
+  white-space: pre-wrap;
+}
+
+.jp-RenderedHTMLCommon :not(pre) > code {
+  background-color: var(--jp-layout-color2);
+  padding: 1px 5px;
+}
+
+/* Tables */
+
+.jp-RenderedHTMLCommon table {
+  border-collapse: collapse;
+  border-spacing: 0;
+  border: none;
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  table-layout: fixed;
+  margin-left: auto;
+  margin-bottom: 1em;
+  margin-right: auto;
+}
+
+.jp-RenderedHTMLCommon thead {
+  border-bottom: var(--jp-border-width) solid var(--jp-border-color1);
+  vertical-align: bottom;
+}
+
+.jp-RenderedHTMLCommon td,
+.jp-RenderedHTMLCommon th,
+.jp-RenderedHTMLCommon tr {
+  vertical-align: middle;
+  padding: 0.5em;
+  line-height: normal;
+  white-space: normal;
+  max-width: none;
+  border: none;
+}
+
+.jp-RenderedMarkdown.jp-RenderedHTMLCommon td,
+.jp-RenderedMarkdown.jp-RenderedHTMLCommon th {
+  max-width: none;
+}
+
+:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon td,
+:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon th,
+:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon tr {
+  text-align: right;
+}
+
+.jp-RenderedHTMLCommon th {
+  font-weight: bold;
+}
+
+.jp-RenderedHTMLCommon tbody tr:nth-child(odd) {
+  background: var(--jp-layout-color0);
+}
+
+.jp-RenderedHTMLCommon tbody tr:nth-child(even) {
+  background: var(--jp-rendermime-table-row-background);
+}
+
+.jp-RenderedHTMLCommon tbody tr:hover {
+  background: var(--jp-rendermime-table-row-hover-background);
+}
+
+.jp-RenderedHTMLCommon p {
+  text-align: left;
+  margin: 0;
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon img {
+  -moz-force-broken-image-icon: 1;
+}
+
+/* Restrict to direct children as other images could be nested in other content. */
+.jp-RenderedHTMLCommon > img {
+  display: block;
+  margin-left: 0;
+  margin-right: 0;
+  margin-bottom: 1em;
+}
+
+/* Change color behind transparent images if they need it... */
+[data-jp-theme-light='false'] .jp-RenderedImage img.jp-needs-light-background {
+  background-color: var(--jp-inverse-layout-color1);
+}
+
+[data-jp-theme-light='true'] .jp-RenderedImage img.jp-needs-dark-background {
+  background-color: var(--jp-inverse-layout-color1);
+}
+
+.jp-RenderedHTMLCommon img,
+.jp-RenderedImage img,
+.jp-RenderedHTMLCommon svg,
+.jp-RenderedSVG svg {
+  max-width: 100%;
+  height: auto;
+}
+
+.jp-RenderedHTMLCommon img.jp-mod-unconfined,
+.jp-RenderedImage img.jp-mod-unconfined,
+.jp-RenderedHTMLCommon svg.jp-mod-unconfined,
+.jp-RenderedSVG svg.jp-mod-unconfined {
+  max-width: none;
+}
+
+.jp-RenderedHTMLCommon .alert {
+  padding: var(--jp-notebook-padding);
+  border: var(--jp-border-width) solid transparent;
+  border-radius: var(--jp-border-radius);
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon .alert-info {
+  color: var(--jp-info-color0);
+  background-color: var(--jp-info-color3);
+  border-color: var(--jp-info-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-info hr {
+  border-color: var(--jp-info-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-info > p:last-child,
+.jp-RenderedHTMLCommon .alert-info > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon .alert-warning {
+  color: var(--jp-warn-color0);
+  background-color: var(--jp-warn-color3);
+  border-color: var(--jp-warn-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-warning hr {
+  border-color: var(--jp-warn-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-warning > p:last-child,
+.jp-RenderedHTMLCommon .alert-warning > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon .alert-success {
+  color: var(--jp-success-color0);
+  background-color: var(--jp-success-color3);
+  border-color: var(--jp-success-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-success hr {
+  border-color: var(--jp-success-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-success > p:last-child,
+.jp-RenderedHTMLCommon .alert-success > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon .alert-danger {
+  color: var(--jp-error-color0);
+  background-color: var(--jp-error-color3);
+  border-color: var(--jp-error-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-danger hr {
+  border-color: var(--jp-error-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-danger > p:last-child,
+.jp-RenderedHTMLCommon .alert-danger > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon blockquote {
+  margin: 1em 2em;
+  padding: 0 1em;
+  border-left: 5px solid var(--jp-border-color2);
+}
+
+a.jp-InternalAnchorLink {
+  visibility: hidden;
+  margin-left: 8px;
+  color: var(--md-blue-800);
+}
+
+h1:hover .jp-InternalAnchorLink,
+h2:hover .jp-InternalAnchorLink,
+h3:hover .jp-InternalAnchorLink,
+h4:hover .jp-InternalAnchorLink,
+h5:hover .jp-InternalAnchorLink,
+h6:hover .jp-InternalAnchorLink {
+  visibility: visible;
+}
+
+.jp-RenderedHTMLCommon kbd {
+  background-color: var(--jp-rendermime-table-row-background);
+  border: 1px solid var(--jp-border-color0);
+  border-bottom-color: var(--jp-border-color2);
+  border-radius: 3px;
+  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.25);
+  display: inline-block;
+  font-size: var(--jp-ui-font-size0);
+  line-height: 1em;
+  padding: 0.2em 0.5em;
+}
+
+/* Most direct children of .jp-RenderedHTMLCommon have a margin-bottom of 1.0.
+ * At the bottom of cells this is a bit too much as there is also spacing
+ * between cells. Going all the way to 0 gets too tight between markdown and
+ * code cells.
+ */
+.jp-RenderedHTMLCommon > *:last-child {
+  margin-bottom: 0.5em;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-cursor-backdrop {
+  position: fixed;
+  width: 200px;
+  height: 200px;
+  margin-top: -100px;
+  margin-left: -100px;
+  will-change: transform;
+  z-index: 100;
+}
+
+.lm-mod-drag-image {
+  will-change: transform;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-lineFormSearch {
+  padding: 4px 12px;
+  background-color: var(--jp-layout-color2);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  z-index: 2;
+  font-size: var(--jp-ui-font-size1);
+}
+
+.jp-lineFormCaption {
+  font-size: var(--jp-ui-font-size0);
+  line-height: var(--jp-ui-font-size1);
+  margin-top: 4px;
+  color: var(--jp-ui-font-color0);
+}
+
+.jp-baseLineForm {
+  border: none;
+  border-radius: 0;
+  position: absolute;
+  background-size: 16px;
+  background-repeat: no-repeat;
+  background-position: center;
+  outline: none;
+}
+
+.jp-lineFormButtonContainer {
+  top: 4px;
+  right: 8px;
+  height: 24px;
+  padding: 0 12px;
+  width: 12px;
+}
+
+.jp-lineFormButtonIcon {
+  top: 0;
+  right: 0;
+  background-color: var(--jp-brand-color1);
+  height: 100%;
+  width: 100%;
+  box-sizing: border-box;
+  padding: 4px 6px;
+}
+
+.jp-lineFormButton {
+  top: 0;
+  right: 0;
+  background-color: transparent;
+  height: 100%;
+  width: 100%;
+  box-sizing: border-box;
+}
+
+.jp-lineFormWrapper {
+  overflow: hidden;
+  padding: 0 8px;
+  border: 1px solid var(--jp-border-color0);
+  background-color: var(--jp-input-active-background);
+  height: 22px;
+}
+
+.jp-lineFormWrapperFocusWithin {
+  border: var(--jp-border-width) solid var(--md-blue-500);
+  box-shadow: inset 0 0 4px var(--md-blue-300);
+}
+
+.jp-lineFormInput {
+  background: transparent;
+  width: 200px;
+  height: 100%;
+  border: none;
+  outline: none;
+  color: var(--jp-ui-font-color0);
+  line-height: 28px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-JSONEditor {
+  display: flex;
+  flex-direction: column;
+  width: 100%;
+}
+
+.jp-JSONEditor-host {
+  flex: 1 1 auto;
+  border: var(--jp-border-width) solid var(--jp-input-border-color);
+  border-radius: 0;
+  background: var(--jp-layout-color0);
+  min-height: 50px;
+  padding: 1px;
+}
+
+.jp-JSONEditor.jp-mod-error .jp-JSONEditor-host {
+  border-color: red;
+  outline-color: red;
+}
+
+.jp-JSONEditor-header {
+  display: flex;
+  flex: 1 0 auto;
+  padding: 0 0 0 12px;
+}
+
+.jp-JSONEditor-header label {
+  flex: 0 0 auto;
+}
+
+.jp-JSONEditor-commitButton {
+  height: 16px;
+  width: 16px;
+  background-size: 18px;
+  background-repeat: no-repeat;
+  background-position: center;
+}
+
+.jp-JSONEditor-host.jp-mod-focused {
+  background-color: var(--jp-input-active-background);
+  border: 1px solid var(--jp-input-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+}
+
+.jp-Editor.jp-mod-dropTarget {
+  border: var(--jp-border-width) solid var(--jp-input-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+.jp-DocumentSearch-input {
+  border: none;
+  outline: none;
+  color: var(--jp-ui-font-color0);
+  font-size: var(--jp-ui-font-size1);
+  background-color: var(--jp-layout-color0);
+  font-family: var(--jp-ui-font-family);
+  padding: 2px 1px;
+  resize: none;
+}
+
+.jp-DocumentSearch-overlay {
+  position: absolute;
+  background-color: var(--jp-toolbar-background);
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  border-left: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  top: 0;
+  right: 0;
+  z-index: 7;
+  min-width: 405px;
+  padding: 2px;
+  font-size: var(--jp-ui-font-size1);
+
+  --jp-private-document-search-button-height: 20px;
+}
+
+.jp-DocumentSearch-overlay button {
+  background-color: var(--jp-toolbar-background);
+  outline: 0;
+}
+
+.jp-DocumentSearch-overlay button:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-overlay button:active {
+  background-color: var(--jp-layout-color3);
+}
+
+.jp-DocumentSearch-overlay-row {
+  display: flex;
+  align-items: center;
+  margin-bottom: 2px;
+}
+
+.jp-DocumentSearch-button-content {
+  display: inline-block;
+  cursor: pointer;
+  box-sizing: border-box;
+  width: 100%;
+  height: 100%;
+}
+
+.jp-DocumentSearch-button-content svg {
+  width: 100%;
+  height: 100%;
+}
+
+.jp-DocumentSearch-input-wrapper {
+  border: var(--jp-border-width) solid var(--jp-border-color0);
+  display: flex;
+  background-color: var(--jp-layout-color0);
+  margin: 2px;
+}
+
+.jp-DocumentSearch-input-wrapper:focus-within {
+  border-color: var(--jp-cell-editor-active-border-color);
+}
+
+.jp-DocumentSearch-toggle-wrapper,
+.jp-DocumentSearch-button-wrapper {
+  all: initial;
+  overflow: hidden;
+  display: inline-block;
+  border: none;
+  box-sizing: border-box;
+}
+
+.jp-DocumentSearch-toggle-wrapper {
+  width: 14px;
+  height: 14px;
+}
+
+.jp-DocumentSearch-button-wrapper {
+  width: var(--jp-private-document-search-button-height);
+  height: var(--jp-private-document-search-button-height);
+}
+
+.jp-DocumentSearch-toggle-wrapper:focus,
+.jp-DocumentSearch-button-wrapper:focus {
+  outline: var(--jp-border-width) solid
+    var(--jp-cell-editor-active-border-color);
+  outline-offset: -1px;
+}
+
+.jp-DocumentSearch-toggle-wrapper,
+.jp-DocumentSearch-button-wrapper,
+.jp-DocumentSearch-button-content:focus {
+  outline: none;
+}
+
+.jp-DocumentSearch-toggle-placeholder {
+  width: 5px;
+}
+
+.jp-DocumentSearch-input-button::before {
+  display: block;
+  padding-top: 100%;
+}
+
+.jp-DocumentSearch-input-button-off {
+  opacity: var(--jp-search-toggle-off-opacity);
+}
+
+.jp-DocumentSearch-input-button-off:hover {
+  opacity: var(--jp-search-toggle-hover-opacity);
+}
+
+.jp-DocumentSearch-input-button-on {
+  opacity: var(--jp-search-toggle-on-opacity);
+}
+
+.jp-DocumentSearch-index-counter {
+  padding-left: 10px;
+  padding-right: 10px;
+  user-select: none;
+  min-width: 35px;
+  display: inline-block;
+}
+
+.jp-DocumentSearch-up-down-wrapper {
+  display: inline-block;
+  padding-right: 2px;
+  margin-left: auto;
+  white-space: nowrap;
+}
+
+.jp-DocumentSearch-spacer {
+  margin-left: auto;
+}
+
+.jp-DocumentSearch-up-down-wrapper button {
+  outline: 0;
+  border: none;
+  width: var(--jp-private-document-search-button-height);
+  height: var(--jp-private-document-search-button-height);
+  vertical-align: middle;
+  margin: 1px 5px 2px;
+}
+
+.jp-DocumentSearch-up-down-button:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-up-down-button:active {
+  background-color: var(--jp-layout-color3);
+}
+
+.jp-DocumentSearch-filter-button {
+  border-radius: var(--jp-border-radius);
+}
+
+.jp-DocumentSearch-filter-button:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-filter-button-enabled {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-filter-button-enabled:hover {
+  background-color: var(--jp-layout-color3);
+}
+
+.jp-DocumentSearch-search-options {
+  padding: 0 8px;
+  margin-left: 3px;
+  width: 100%;
+  display: grid;
+  justify-content: start;
+  grid-template-columns: 1fr 1fr;
+  align-items: center;
+  justify-items: stretch;
+}
+
+.jp-DocumentSearch-search-filter-disabled {
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-DocumentSearch-search-filter {
+  display: flex;
+  align-items: center;
+  user-select: none;
+}
+
+.jp-DocumentSearch-regex-error {
+  color: var(--jp-error-color0);
+}
+
+.jp-DocumentSearch-replace-button-wrapper {
+  overflow: hidden;
+  display: inline-block;
+  box-sizing: border-box;
+  border: var(--jp-border-width) solid var(--jp-border-color0);
+  margin: auto 2px;
+  padding: 1px 4px;
+  height: calc(var(--jp-private-document-search-button-height) + 2px);
+}
+
+.jp-DocumentSearch-replace-button-wrapper:focus {
+  border: var(--jp-border-width) solid var(--jp-cell-editor-active-border-color);
+}
+
+.jp-DocumentSearch-replace-button {
+  display: inline-block;
+  text-align: center;
+  cursor: pointer;
+  box-sizing: border-box;
+  color: var(--jp-ui-font-color1);
+
+  /* height - 2 * (padding of wrapper) */
+  line-height: calc(var(--jp-private-document-search-button-height) - 2px);
+  width: 100%;
+  height: 100%;
+}
+
+.jp-DocumentSearch-replace-button:focus {
+  outline: none;
+}
+
+.jp-DocumentSearch-replace-wrapper-class {
+  margin-left: 14px;
+  display: flex;
+}
+
+.jp-DocumentSearch-replace-toggle {
+  border: none;
+  background-color: var(--jp-toolbar-background);
+  border-radius: var(--jp-border-radius);
+}
+
+.jp-DocumentSearch-replace-toggle:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.cm-editor {
+  line-height: var(--jp-code-line-height);
+  font-size: var(--jp-code-font-size);
+  font-family: var(--jp-code-font-family);
+  border: 0;
+  border-radius: 0;
+  height: auto;
+
+  /* Changed to auto to autogrow */
+}
+
+.cm-editor pre {
+  padding: 0 var(--jp-code-padding);
+}
+
+.jp-CodeMirrorEditor[data-type='inline'] .cm-dialog {
+  background-color: var(--jp-layout-color0);
+  color: var(--jp-content-font-color1);
+}
+
+.jp-CodeMirrorEditor {
+  cursor: text;
+}
+
+/* When zoomed out 67% and 33% on a screen of 1440 width x 900 height */
+@media screen and (min-width: 2138px) and (max-width: 4319px) {
+  .jp-CodeMirrorEditor[data-type='inline'] .cm-cursor {
+    border-left: var(--jp-code-cursor-width1) solid
+      var(--jp-editor-cursor-color);
+  }
+}
+
+/* When zoomed out less than 33% */
+@media screen and (min-width: 4320px) {
+  .jp-CodeMirrorEditor[data-type='inline'] .cm-cursor {
+    border-left: var(--jp-code-cursor-width2) solid
+      var(--jp-editor-cursor-color);
+  }
+}
+
+.cm-editor.jp-mod-readOnly .cm-cursor {
+  display: none;
+}
+
+.jp-CollaboratorCursor {
+  border-left: 5px solid transparent;
+  border-right: 5px solid transparent;
+  border-top: none;
+  border-bottom: 3px solid;
+  background-clip: content-box;
+  margin-left: -5px;
+  margin-right: -5px;
+}
+
+.cm-searching,
+.cm-searching span {
+  /* `.cm-searching span`: we need to override syntax highlighting */
+  background-color: var(--jp-search-unselected-match-background-color);
+  color: var(--jp-search-unselected-match-color);
+}
+
+.cm-searching::selection,
+.cm-searching span::selection {
+  background-color: var(--jp-search-unselected-match-background-color);
+  color: var(--jp-search-unselected-match-color);
+}
+
+.jp-current-match > .cm-searching,
+.jp-current-match > .cm-searching span,
+.cm-searching > .jp-current-match,
+.cm-searching > .jp-current-match span {
+  background-color: var(--jp-search-selected-match-background-color);
+  color: var(--jp-search-selected-match-color);
+}
+
+.jp-current-match > .cm-searching::selection,
+.cm-searching > .jp-current-match::selection,
+.jp-current-match > .cm-searching span::selection {
+  background-color: var(--jp-search-selected-match-background-color);
+  color: var(--jp-search-selected-match-color);
+}
+
+.cm-trailingspace {
+  background-image: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAgAAAAFCAYAAAB4ka1VAAAAsElEQVQIHQGlAFr/AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA7+r3zKmT0/+pk9P/7+r3zAAAAAAAAAAABAAAAAAAAAAA6OPzM+/q9wAAAAAA6OPzMwAAAAAAAAAAAgAAAAAAAAAAGR8NiRQaCgAZIA0AGR8NiQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQyoYJ/SY80UAAAAASUVORK5CYII=);
+  background-position: center left;
+  background-repeat: repeat-x;
+}
+
+.jp-CollaboratorCursor-hover {
+  position: absolute;
+  z-index: 1;
+  transform: translateX(-50%);
+  color: white;
+  border-radius: 3px;
+  padding-left: 4px;
+  padding-right: 4px;
+  padding-top: 1px;
+  padding-bottom: 1px;
+  text-align: center;
+  font-size: var(--jp-ui-font-size1);
+  white-space: nowrap;
+}
+
+.jp-CodeMirror-ruler {
+  border-left: 1px dashed var(--jp-border-color2);
+}
+
+/* Styles for shared cursors (remote cursor locations and selected ranges) */
+.jp-CodeMirrorEditor .cm-ySelectionCaret {
+  position: relative;
+  border-left: 1px solid black;
+  margin-left: -1px;
+  margin-right: -1px;
+  box-sizing: border-box;
+}
+
+.jp-CodeMirrorEditor .cm-ySelectionCaret > .cm-ySelectionInfo {
+  white-space: nowrap;
+  position: absolute;
+  top: -1.15em;
+  padding-bottom: 0.05em;
+  left: -1px;
+  font-size: 0.95em;
+  font-family: var(--jp-ui-font-family);
+  font-weight: bold;
+  line-height: normal;
+  user-select: none;
+  color: white;
+  padding-left: 2px;
+  padding-right: 2px;
+  z-index: 101;
+  transition: opacity 0.3s ease-in-out;
+}
+
+.jp-CodeMirrorEditor .cm-ySelectionInfo {
+  transition-delay: 0.7s;
+  opacity: 0;
+}
+
+.jp-CodeMirrorEditor .cm-ySelectionCaret:hover > .cm-ySelectionInfo {
+  opacity: 1;
+  transition-delay: 0s;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-MimeDocument {
+  outline: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-filebrowser-button-height: 28px;
+  --jp-private-filebrowser-button-width: 48px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-FileBrowser .jp-SidePanel-content {
+  display: flex;
+  flex-direction: column;
+}
+
+.jp-FileBrowser-toolbar.jp-Toolbar {
+  flex-wrap: wrap;
+  row-gap: 12px;
+  border-bottom: none;
+  height: auto;
+  margin: 8px 12px 0;
+  box-shadow: none;
+  padding: 0;
+  justify-content: flex-start;
+}
+
+.jp-FileBrowser-Panel {
+  flex: 1 1 auto;
+  display: flex;
+  flex-direction: column;
+}
+
+.jp-BreadCrumbs {
+  flex: 0 0 auto;
+  margin: 8px 12px;
+}
+
+.jp-BreadCrumbs-item {
+  margin: 0 2px;
+  padding: 0 2px;
+  border-radius: var(--jp-border-radius);
+  cursor: pointer;
+}
+
+.jp-BreadCrumbs-item:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-BreadCrumbs-item:first-child {
+  margin-left: 0;
+}
+
+.jp-BreadCrumbs-item.jp-mod-dropTarget {
+  background-color: var(--jp-brand-color2);
+  opacity: 0.7;
+}
+
+/*-----------------------------------------------------------------------------
+| Buttons
+|----------------------------------------------------------------------------*/
+
+.jp-FileBrowser-toolbar > .jp-Toolbar-item {
+  flex: 0 0 auto;
+  padding-left: 0;
+  padding-right: 2px;
+  align-items: center;
+  height: unset;
+}
+
+.jp-FileBrowser-toolbar > .jp-Toolbar-item .jp-ToolbarButtonComponent {
+  width: 40px;
+}
+
+/*-----------------------------------------------------------------------------
+| Other styles
+|----------------------------------------------------------------------------*/
+
+.jp-FileDialog.jp-mod-conflict input {
+  color: var(--jp-error-color1);
+}
+
+.jp-FileDialog .jp-new-name-title {
+  margin-top: 12px;
+}
+
+.jp-LastModified-hidden {
+  display: none;
+}
+
+.jp-FileSize-hidden {
+  display: none;
+}
+
+.jp-FileBrowser .lm-AccordionPanel > h3:first-child {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| DirListing
+|----------------------------------------------------------------------------*/
+
+.jp-DirListing {
+  flex: 1 1 auto;
+  display: flex;
+  flex-direction: column;
+  outline: 0;
+}
+
+.jp-DirListing-header {
+  flex: 0 0 auto;
+  display: flex;
+  flex-direction: row;
+  align-items: center;
+  overflow: hidden;
+  border-top: var(--jp-border-width) solid var(--jp-border-color2);
+  border-bottom: var(--jp-border-width) solid var(--jp-border-color1);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  z-index: 2;
+}
+
+.jp-DirListing-headerItem {
+  padding: 4px 12px 2px;
+  font-weight: 500;
+}
+
+.jp-DirListing-headerItem:hover {
+  background: var(--jp-layout-color2);
+}
+
+.jp-DirListing-headerItem.jp-id-name {
+  flex: 1 0 84px;
+}
+
+.jp-DirListing-headerItem.jp-id-modified {
+  flex: 0 0 112px;
+  border-left: var(--jp-border-width) solid var(--jp-border-color2);
+  text-align: right;
+}
+
+.jp-DirListing-headerItem.jp-id-filesize {
+  flex: 0 0 75px;
+  border-left: var(--jp-border-width) solid var(--jp-border-color2);
+  text-align: right;
+}
+
+.jp-id-narrow {
+  display: none;
+  flex: 0 0 5px;
+  padding: 4px;
+  border-left: var(--jp-border-width) solid var(--jp-border-color2);
+  text-align: right;
+  color: var(--jp-border-color2);
+}
+
+.jp-DirListing-narrow .jp-id-narrow {
+  display: block;
+}
+
+.jp-DirListing-narrow .jp-id-modified,
+.jp-DirListing-narrow .jp-DirListing-itemModified {
+  display: none;
+}
+
+.jp-DirListing-headerItem.jp-mod-selected {
+  font-weight: 600;
+}
+
+/* increase specificity to override bundled default */
+.jp-DirListing-content {
+  flex: 1 1 auto;
+  margin: 0;
+  padding: 0;
+  list-style-type: none;
+  overflow: auto;
+  background-color: var(--jp-layout-color1);
+}
+
+.jp-DirListing-content mark {
+  color: var(--jp-ui-font-color0);
+  background-color: transparent;
+  font-weight: bold;
+}
+
+.jp-DirListing-content .jp-DirListing-item.jp-mod-selected mark {
+  color: var(--jp-ui-inverse-font-color0);
+}
+
+/* Style the directory listing content when a user drops a file to upload */
+.jp-DirListing.jp-mod-native-drop .jp-DirListing-content {
+  outline: 5px dashed rgba(128, 128, 128, 0.5);
+  outline-offset: -10px;
+  cursor: copy;
+}
+
+.jp-DirListing-item {
+  display: flex;
+  flex-direction: row;
+  align-items: center;
+  padding: 4px 12px;
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.jp-DirListing-checkboxWrapper {
+  /* Increases hit area of checkbox. */
+  padding: 4px;
+}
+
+.jp-DirListing-header
+  .jp-DirListing-checkboxWrapper
+  + .jp-DirListing-headerItem {
+  padding-left: 4px;
+}
+
+.jp-DirListing-content .jp-DirListing-checkboxWrapper {
+  position: relative;
+  left: -4px;
+  margin: -4px 0 -4px -8px;
+}
+
+.jp-DirListing-checkboxWrapper.jp-mod-visible {
+  visibility: visible;
+}
+
+/* For devices that support hovering, hide checkboxes until hovered, selected...
+*/
+@media (hover: hover) {
+  .jp-DirListing-checkboxWrapper {
+    visibility: hidden;
+  }
+
+  .jp-DirListing-item:hover .jp-DirListing-checkboxWrapper,
+  .jp-DirListing-item.jp-mod-selected .jp-DirListing-checkboxWrapper {
+    visibility: visible;
+  }
+}
+
+.jp-DirListing-item[data-is-dot] {
+  opacity: 75%;
+}
+
+.jp-DirListing-item.jp-mod-selected {
+  color: var(--jp-ui-inverse-font-color1);
+  background: var(--jp-brand-color1);
+}
+
+.jp-DirListing-item.jp-mod-dropTarget {
+  background: var(--jp-brand-color3);
+}
+
+.jp-DirListing-item:hover:not(.jp-mod-selected) {
+  background: var(--jp-layout-color2);
+}
+
+.jp-DirListing-itemIcon {
+  flex: 0 0 20px;
+  margin-right: 4px;
+}
+
+.jp-DirListing-itemText {
+  flex: 1 0 64px;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+  user-select: none;
+}
+
+.jp-DirListing-itemText:focus {
+  outline-width: 2px;
+  outline-color: var(--jp-inverse-layout-color1);
+  outline-style: solid;
+  outline-offset: 1px;
+}
+
+.jp-DirListing-item.jp-mod-selected .jp-DirListing-itemText:focus {
+  outline-color: var(--jp-layout-color1);
+}
+
+.jp-DirListing-itemModified {
+  flex: 0 0 125px;
+  text-align: right;
+}
+
+.jp-DirListing-itemFileSize {
+  flex: 0 0 90px;
+  text-align: right;
+}
+
+.jp-DirListing-editor {
+  flex: 1 0 64px;
+  outline: none;
+  border: none;
+  color: var(--jp-ui-font-color1);
+  background-color: var(--jp-layout-color1);
+}
+
+.jp-DirListing-item.jp-mod-running .jp-DirListing-itemIcon::before {
+  color: var(--jp-success-color1);
+  content: '\25CF';
+  font-size: 8px;
+  position: absolute;
+  left: -8px;
+}
+
+.jp-DirListing-item.jp-mod-running.jp-mod-selected
+  .jp-DirListing-itemIcon::before {
+  color: var(--jp-ui-inverse-font-color1);
+}
+
+.jp-DirListing-item.lm-mod-drag-image,
+.jp-DirListing-item.jp-mod-selected.lm-mod-drag-image {
+  font-size: var(--jp-ui-font-size1);
+  padding-left: 4px;
+  margin-left: 4px;
+  width: 160px;
+  background-color: var(--jp-ui-inverse-font-color2);
+  box-shadow: var(--jp-elevation-z2);
+  border-radius: 0;
+  color: var(--jp-ui-font-color1);
+  transform: translateX(-40%) translateY(-58%);
+}
+
+.jp-Document {
+  min-width: 120px;
+  min-height: 120px;
+  outline: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Main OutputArea
+| OutputArea has a list of Outputs
+|----------------------------------------------------------------------------*/
+
+.jp-OutputArea {
+  overflow-y: auto;
+}
+
+.jp-OutputArea-child {
+  display: table;
+  table-layout: fixed;
+  width: 100%;
+  overflow: hidden;
+}
+
+.jp-OutputPrompt {
+  width: var(--jp-cell-prompt-width);
+  color: var(--jp-cell-outprompt-font-color);
+  font-family: var(--jp-cell-prompt-font-family);
+  padding: var(--jp-code-padding);
+  letter-spacing: var(--jp-cell-prompt-letter-spacing);
+  line-height: var(--jp-code-line-height);
+  font-size: var(--jp-code-font-size);
+  border: var(--jp-border-width) solid transparent;
+  opacity: var(--jp-cell-prompt-opacity);
+
+  /* Right align prompt text, don't wrap to handle large prompt numbers */
+  text-align: right;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+
+  /* Disable text selection */
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.jp-OutputArea-prompt {
+  display: table-cell;
+  vertical-align: top;
+}
+
+.jp-OutputArea-output {
+  display: table-cell;
+  width: 100%;
+  height: auto;
+  overflow: auto;
+  user-select: text;
+  -moz-user-select: text;
+  -webkit-user-select: text;
+  -ms-user-select: text;
+}
+
+.jp-OutputArea .jp-RenderedText {
+  padding-left: 1ch;
+}
+
+/**
+ * Prompt overlay.
+ */
+
+.jp-OutputArea-promptOverlay {
+  position: absolute;
+  top: 0;
+  width: var(--jp-cell-prompt-width);
+  height: 100%;
+  opacity: 0.5;
+}
+
+.jp-OutputArea-promptOverlay:hover {
+  background: var(--jp-layout-color2);
+  box-shadow: inset 0 0 1px var(--jp-inverse-layout-color0);
+  cursor: zoom-out;
+}
+
+.jp-mod-outputsScrolled .jp-OutputArea-promptOverlay:hover {
+  cursor: zoom-in;
+}
+
+/**
+ * Isolated output.
+ */
+.jp-OutputArea-output.jp-mod-isolated {
+  width: 100%;
+  display: block;
+}
+
+/*
+When drag events occur, `lm-mod-override-cursor` is added to the body.
+Because iframes steal all cursor events, the following two rules are necessary
+to suppress pointer events while resize drags are occurring. There may be a
+better solution to this problem.
+*/
+body.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated {
+  position: relative;
+}
+
+body.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated::before {
+  content: '';
+  position: absolute;
+  top: 0;
+  left: 0;
+  right: 0;
+  bottom: 0;
+  background: transparent;
+}
+
+/* pre */
+
+.jp-OutputArea-output pre {
+  border: none;
+  margin: 0;
+  padding: 0;
+  overflow-x: auto;
+  overflow-y: auto;
+  word-break: break-all;
+  word-wrap: break-word;
+  white-space: pre-wrap;
+}
+
+/* tables */
+
+.jp-OutputArea-output.jp-RenderedHTMLCommon table {
+  margin-left: 0;
+  margin-right: 0;
+}
+
+/* description lists */
+
+.jp-OutputArea-output dl,
+.jp-OutputArea-output dt,
+.jp-OutputArea-output dd {
+  display: block;
+}
+
+.jp-OutputArea-output dl {
+  width: 100%;
+  overflow: hidden;
+  padding: 0;
+  margin: 0;
+}
+
+.jp-OutputArea-output dt {
+  font-weight: bold;
+  float: left;
+  width: 20%;
+  padding: 0;
+  margin: 0;
+}
+
+.jp-OutputArea-output dd {
+  float: left;
+  width: 80%;
+  padding: 0;
+  margin: 0;
+}
+
+.jp-TrimmedOutputs pre {
+  background: var(--jp-layout-color3);
+  font-size: calc(var(--jp-code-font-size) * 1.4);
+  text-align: center;
+  text-transform: uppercase;
+}
+
+/* Hide the gutter in case of
+ *  - nested output areas (e.g. in the case of output widgets)
+ *  - mirrored output areas
+ */
+.jp-OutputArea .jp-OutputArea .jp-OutputArea-prompt {
+  display: none;
+}
+
+/* Hide empty lines in the output area, for instance due to cleared widgets */
+.jp-OutputArea-prompt:empty {
+  padding: 0;
+  border: 0;
+}
+
+/*-----------------------------------------------------------------------------
+| executeResult is added to any Output-result for the display of the object
+| returned by a cell
+|----------------------------------------------------------------------------*/
+
+.jp-OutputArea-output.jp-OutputArea-executeResult {
+  margin-left: 0;
+  width: 100%;
+}
+
+/* Text output with the Out[] prompt needs a top padding to match the
+ * alignment of the Out[] prompt itself.
+ */
+.jp-OutputArea-executeResult .jp-RenderedText.jp-OutputArea-output {
+  padding-top: var(--jp-code-padding);
+  border-top: var(--jp-border-width) solid transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| The Stdin output
+|----------------------------------------------------------------------------*/
+
+.jp-Stdin-prompt {
+  color: var(--jp-content-font-color0);
+  padding-right: var(--jp-code-padding);
+  vertical-align: baseline;
+  flex: 0 0 auto;
+}
+
+.jp-Stdin-input {
+  font-family: var(--jp-code-font-family);
+  font-size: inherit;
+  color: inherit;
+  background-color: inherit;
+  width: 42%;
+  min-width: 200px;
+
+  /* make sure input baseline aligns with prompt */
+  vertical-align: baseline;
+
+  /* padding + margin = 0.5em between prompt and cursor */
+  padding: 0 0.25em;
+  margin: 0 0.25em;
+  flex: 0 0 70%;
+}
+
+.jp-Stdin-input::placeholder {
+  opacity: 0;
+}
+
+.jp-Stdin-input:focus {
+  box-shadow: none;
+}
+
+.jp-Stdin-input:focus::placeholder {
+  opacity: 1;
+}
+
+/*-----------------------------------------------------------------------------
+| Output Area View
+|----------------------------------------------------------------------------*/
+
+.jp-LinkedOutputView .jp-OutputArea {
+  height: 100%;
+  display: block;
+}
+
+.jp-LinkedOutputView .jp-OutputArea-output:only-child {
+  height: 100%;
+}
+
+/*-----------------------------------------------------------------------------
+| Printing
+|----------------------------------------------------------------------------*/
+
+@media print {
+  .jp-OutputArea-child {
+    break-inside: avoid-page;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Mobile
+|----------------------------------------------------------------------------*/
+@media only screen and (max-width: 760px) {
+  .jp-OutputPrompt {
+    display: table-row;
+    text-align: left;
+  }
+
+  .jp-OutputArea-child .jp-OutputArea-output {
+    display: table-row;
+    margin-left: var(--jp-notebook-padding);
+  }
+}
+
+/* Trimmed outputs warning */
+.jp-TrimmedOutputs > a {
+  margin: 10px;
+  text-decoration: none;
+  cursor: pointer;
+}
+
+.jp-TrimmedOutputs > a:hover {
+  text-decoration: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Table of Contents
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-toc-active-width: 4px;
+}
+
+.jp-TableOfContents {
+  display: flex;
+  flex-direction: column;
+  background: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  height: 100%;
+}
+
+.jp-TableOfContents-placeholder {
+  text-align: center;
+}
+
+.jp-TableOfContents-placeholderContent {
+  color: var(--jp-content-font-color2);
+  padding: 8px;
+}
+
+.jp-TableOfContents-placeholderContent > h3 {
+  margin-bottom: var(--jp-content-heading-margin-bottom);
+}
+
+.jp-TableOfContents .jp-SidePanel-content {
+  overflow-y: auto;
+}
+
+.jp-TableOfContents-tree {
+  margin: 4px;
+}
+
+.jp-TableOfContents ol {
+  list-style-type: none;
+}
+
+/* stylelint-disable-next-line selector-max-type */
+.jp-TableOfContents li > ol {
+  /* Align left border with triangle icon center */
+  padding-left: 11px;
+}
+
+.jp-TableOfContents-content {
+  /* left margin for the active heading indicator */
+  margin: 0 0 0 var(--jp-private-toc-active-width);
+  padding: 0;
+  background-color: var(--jp-layout-color1);
+}
+
+.jp-tocItem {
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.jp-tocItem-heading {
+  display: flex;
+  cursor: pointer;
+}
+
+.jp-tocItem-heading:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-tocItem-content {
+  display: block;
+  padding: 4px 0;
+  white-space: nowrap;
+  text-overflow: ellipsis;
+  overflow-x: hidden;
+}
+
+.jp-tocItem-collapser {
+  height: 20px;
+  margin: 2px 2px 0;
+  padding: 0;
+  background: none;
+  border: none;
+  cursor: pointer;
+}
+
+.jp-tocItem-collapser:hover {
+  background-color: var(--jp-layout-color3);
+}
+
+/* Active heading indicator */
+
+.jp-tocItem-heading::before {
+  content: ' ';
+  background: transparent;
+  width: var(--jp-private-toc-active-width);
+  height: 24px;
+  position: absolute;
+  left: 0;
+  border-radius: var(--jp-border-radius);
+}
+
+.jp-tocItem-heading.jp-tocItem-active::before {
+  background-color: var(--jp-brand-color1);
+}
+
+.jp-tocItem-heading:hover.jp-tocItem-active::before {
+  background: var(--jp-brand-color0);
+  opacity: 1;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Collapser {
+  flex: 0 0 var(--jp-cell-collapser-width);
+  padding: 0;
+  margin: 0;
+  border: none;
+  outline: none;
+  background: transparent;
+  border-radius: var(--jp-border-radius);
+  opacity: 1;
+}
+
+.jp-Collapser-child {
+  display: block;
+  width: 100%;
+  box-sizing: border-box;
+
+  /* height: 100% doesn't work because the height of its parent is computed from content */
+  position: absolute;
+  top: 0;
+  bottom: 0;
+}
+
+/*-----------------------------------------------------------------------------
+| Printing
+|----------------------------------------------------------------------------*/
+
+/*
+Hiding collapsers in print mode.
+
+Note: input and output wrappers have "display: block" propery in print mode.
+*/
+
+@media print {
+  .jp-Collapser {
+    display: none;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Header/Footer
+|----------------------------------------------------------------------------*/
+
+/* Hidden by zero height by default */
+.jp-CellHeader,
+.jp-CellFooter {
+  height: 0;
+  width: 100%;
+  padding: 0;
+  margin: 0;
+  border: none;
+  outline: none;
+  background: transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Input
+|----------------------------------------------------------------------------*/
+
+/* All input areas */
+.jp-InputArea {
+  display: table;
+  table-layout: fixed;
+  width: 100%;
+  overflow: hidden;
+}
+
+.jp-InputArea-editor {
+  display: table-cell;
+  overflow: hidden;
+  vertical-align: top;
+
+  /* This is the non-active, default styling */
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  border-radius: 0;
+  background: var(--jp-cell-editor-background);
+}
+
+.jp-InputPrompt {
+  display: table-cell;
+  vertical-align: top;
+  width: var(--jp-cell-prompt-width);
+  color: var(--jp-cell-inprompt-font-color);
+  font-family: var(--jp-cell-prompt-font-family);
+  padding: var(--jp-code-padding);
+  letter-spacing: var(--jp-cell-prompt-letter-spacing);
+  opacity: var(--jp-cell-prompt-opacity);
+  line-height: var(--jp-code-line-height);
+  font-size: var(--jp-code-font-size);
+  border: var(--jp-border-width) solid transparent;
+
+  /* Right align prompt text, don't wrap to handle large prompt numbers */
+  text-align: right;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+
+  /* Disable text selection */
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Mobile
+|----------------------------------------------------------------------------*/
+@media only screen and (max-width: 760px) {
+  .jp-InputArea-editor {
+    display: table-row;
+    margin-left: var(--jp-notebook-padding);
+  }
+
+  .jp-InputPrompt {
+    display: table-row;
+    text-align: left;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Placeholder
+|----------------------------------------------------------------------------*/
+
+.jp-Placeholder {
+  display: table;
+  table-layout: fixed;
+  width: 100%;
+}
+
+.jp-Placeholder-prompt {
+  display: table-cell;
+  box-sizing: border-box;
+}
+
+.jp-Placeholder-content {
+  display: table-cell;
+  padding: 4px 6px;
+  border: 1px solid transparent;
+  border-radius: 0;
+  background: none;
+  box-sizing: border-box;
+  cursor: pointer;
+}
+
+.jp-Placeholder-contentContainer {
+  display: flex;
+}
+
+.jp-Placeholder-content:hover,
+.jp-InputPlaceholder > .jp-Placeholder-content:hover {
+  border-color: var(--jp-layout-color3);
+}
+
+.jp-Placeholder-content .jp-MoreHorizIcon {
+  width: 32px;
+  height: 16px;
+  border: 1px solid transparent;
+  border-radius: var(--jp-border-radius);
+}
+
+.jp-Placeholder-content .jp-MoreHorizIcon:hover {
+  border: 1px solid var(--jp-border-color1);
+  box-shadow: 0 0 2px 0 rgba(0, 0, 0, 0.25);
+  background-color: var(--jp-layout-color0);
+}
+
+.jp-PlaceholderText {
+  white-space: nowrap;
+  overflow-x: hidden;
+  color: var(--jp-inverse-layout-color3);
+  font-family: var(--jp-code-font-family);
+}
+
+.jp-InputPlaceholder > .jp-Placeholder-content {
+  border-color: var(--jp-cell-editor-border-color);
+  background: var(--jp-cell-editor-background);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Private CSS variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-cell-scrolling-output-offset: 5px;
+}
+
+/*-----------------------------------------------------------------------------
+| Cell
+|----------------------------------------------------------------------------*/
+
+.jp-Cell {
+  padding: var(--jp-cell-padding);
+  margin: 0;
+  border: none;
+  outline: none;
+  background: transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| Common input/output
+|----------------------------------------------------------------------------*/
+
+.jp-Cell-inputWrapper,
+.jp-Cell-outputWrapper {
+  display: flex;
+  flex-direction: row;
+  padding: 0;
+  margin: 0;
+
+  /* Added to reveal the box-shadow on the input and output collapsers. */
+  overflow: visible;
+}
+
+/* Only input/output areas inside cells */
+.jp-Cell-inputArea,
+.jp-Cell-outputArea {
+  flex: 1 1 auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Collapser
+|----------------------------------------------------------------------------*/
+
+/* Make the output collapser disappear when there is not output, but do so
+ * in a manner that leaves it in the layout and preserves its width.
+ */
+.jp-Cell.jp-mod-noOutputs .jp-Cell-outputCollapser {
+  border: none !important;
+  background: transparent !important;
+}
+
+.jp-Cell:not(.jp-mod-noOutputs) .jp-Cell-outputCollapser {
+  min-height: var(--jp-cell-collapser-min-height);
+}
+
+/*-----------------------------------------------------------------------------
+| Output
+|----------------------------------------------------------------------------*/
+
+/* Put a space between input and output when there IS output */
+.jp-Cell:not(.jp-mod-noOutputs) .jp-Cell-outputWrapper {
+  margin-top: 5px;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea {
+  overflow-y: auto;
+  max-height: 24em;
+  margin-left: var(--jp-private-cell-scrolling-output-offset);
+  resize: vertical;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea[style*='height'] {
+  max-height: unset;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea::after {
+  content: ' ';
+  box-shadow: inset 0 0 6px 2px rgb(0 0 0 / 30%);
+  width: 100%;
+  height: 100%;
+  position: sticky;
+  bottom: 0;
+  top: 0;
+  margin-top: -50%;
+  float: left;
+  display: block;
+  pointer-events: none;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-child {
+  padding-top: 6px;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-prompt {
+  width: calc(
+    var(--jp-cell-prompt-width) - var(--jp-private-cell-scrolling-output-offset)
+  );
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-promptOverlay {
+  left: calc(-1 * var(--jp-private-cell-scrolling-output-offset));
+}
+
+/*-----------------------------------------------------------------------------
+| CodeCell
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| MarkdownCell
+|----------------------------------------------------------------------------*/
+
+.jp-MarkdownOutput {
+  display: table-cell;
+  width: 100%;
+  margin-top: 0;
+  margin-bottom: 0;
+  padding-left: var(--jp-code-padding);
+}
+
+.jp-MarkdownOutput.jp-RenderedHTMLCommon {
+  overflow: auto;
+}
+
+/* collapseHeadingButton (show always if hiddenCellsButton is _not_ shown) */
+.jp-collapseHeadingButton {
+  display: flex;
+  min-height: var(--jp-cell-collapser-min-height);
+  font-size: var(--jp-code-font-size);
+  position: absolute;
+  background-color: transparent;
+  background-size: 25px;
+  background-repeat: no-repeat;
+  background-position-x: center;
+  background-position-y: top;
+  background-image: var(--jp-icon-caret-down);
+  right: 0;
+  top: 0;
+  bottom: 0;
+}
+
+.jp-collapseHeadingButton.jp-mod-collapsed {
+  background-image: var(--jp-icon-caret-right);
+}
+
+/*
+ set the container font size to match that of content
+ so that the nested collapse buttons have the right size
+*/
+.jp-MarkdownCell .jp-InputPrompt {
+  font-size: var(--jp-content-font-size1);
+}
+
+/*
+  Align collapseHeadingButton with cell top header
+  The font sizes are identical to the ones in packages/rendermime/style/base.css
+*/
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='1'] {
+  font-size: var(--jp-content-font-size5);
+  background-position-y: calc(0.3 * var(--jp-content-font-size5));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='2'] {
+  font-size: var(--jp-content-font-size4);
+  background-position-y: calc(0.3 * var(--jp-content-font-size4));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='3'] {
+  font-size: var(--jp-content-font-size3);
+  background-position-y: calc(0.3 * var(--jp-content-font-size3));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='4'] {
+  font-size: var(--jp-content-font-size2);
+  background-position-y: calc(0.3 * var(--jp-content-font-size2));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='5'] {
+  font-size: var(--jp-content-font-size1);
+  background-position-y: top;
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='6'] {
+  font-size: var(--jp-content-font-size0);
+  background-position-y: top;
+}
+
+/* collapseHeadingButton (show only on (hover,active) if hiddenCellsButton is shown) */
+.jp-Notebook.jp-mod-showHiddenCellsButton .jp-collapseHeadingButton {
+  display: none;
+}
+
+.jp-Notebook.jp-mod-showHiddenCellsButton
+  :is(.jp-MarkdownCell:hover, .jp-mod-active)
+  .jp-collapseHeadingButton {
+  display: flex;
+}
+
+/* showHiddenCellsButton (only show if jp-mod-showHiddenCellsButton is set, which
+is a consequence of the showHiddenCellsButton option in Notebook Settings)*/
+.jp-Notebook.jp-mod-showHiddenCellsButton .jp-showHiddenCellsButton {
+  margin-left: calc(var(--jp-cell-prompt-width) + 2 * var(--jp-code-padding));
+  margin-top: var(--jp-code-padding);
+  border: 1px solid var(--jp-border-color2);
+  background-color: var(--jp-border-color3) !important;
+  color: var(--jp-content-font-color0) !important;
+  display: flex;
+}
+
+.jp-Notebook.jp-mod-showHiddenCellsButton .jp-showHiddenCellsButton:hover {
+  background-color: var(--jp-border-color2) !important;
+}
+
+.jp-showHiddenCellsButton {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Printing
+|----------------------------------------------------------------------------*/
+
+/*
+Using block instead of flex to allow the use of the break-inside CSS property for
+cell outputs.
+*/
+
+@media print {
+  .jp-Cell-inputWrapper,
+  .jp-Cell-outputWrapper {
+    display: block;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-notebook-toolbar-padding: 2px 5px 2px 2px;
+}
+
+/*-----------------------------------------------------------------------------
+
+/*-----------------------------------------------------------------------------
+| Styles
+|----------------------------------------------------------------------------*/
+
+.jp-NotebookPanel-toolbar {
+  padding: var(--jp-notebook-toolbar-padding);
+
+  /* disable paint containment from lumino 2.0 default strict CSS containment */
+  contain: style size !important;
+}
+
+.jp-Toolbar-item.jp-Notebook-toolbarCellType .jp-select-wrapper.jp-mod-focused {
+  border: none;
+  box-shadow: none;
+}
+
+.jp-Notebook-toolbarCellTypeDropdown select {
+  height: 24px;
+  font-size: var(--jp-ui-font-size1);
+  line-height: 14px;
+  border-radius: 0;
+  display: block;
+}
+
+.jp-Notebook-toolbarCellTypeDropdown span {
+  top: 5px !important;
+}
+
+.jp-Toolbar-responsive-popup {
+  position: absolute;
+  height: fit-content;
+  display: flex;
+  flex-direction: row;
+  flex-wrap: wrap;
+  justify-content: flex-end;
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  background: var(--jp-toolbar-background);
+  min-height: var(--jp-toolbar-micro-height);
+  padding: var(--jp-notebook-toolbar-padding);
+  z-index: 1;
+  right: 0;
+  top: 0;
+}
+
+.jp-Toolbar > .jp-Toolbar-responsive-opener {
+  margin-left: auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+
+/*-----------------------------------------------------------------------------
+| Styles
+|----------------------------------------------------------------------------*/
+
+.jp-Notebook-ExecutionIndicator {
+  position: relative;
+  display: inline-block;
+  height: 100%;
+  z-index: 9997;
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip {
+  visibility: hidden;
+  height: auto;
+  width: max-content;
+  width: -moz-max-content;
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color1);
+  text-align: justify;
+  border-radius: 6px;
+  padding: 0 5px;
+  position: fixed;
+  display: table;
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip.up {
+  transform: translateX(-50%) translateY(-100%) translateY(-32px);
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip.down {
+  transform: translateX(calc(-100% + 16px)) translateY(5px);
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip.hidden {
+  display: none;
+}
+
+.jp-Notebook-ExecutionIndicator:hover .jp-Notebook-ExecutionIndicator-tooltip {
+  visibility: visible;
+}
+
+.jp-Notebook-ExecutionIndicator span {
+  font-size: var(--jp-ui-font-size1);
+  font-family: var(--jp-ui-font-family);
+  color: var(--jp-ui-font-color1);
+  line-height: 24px;
+  display: block;
+}
+
+.jp-Notebook-ExecutionIndicator-progress-bar {
+  display: flex;
+  justify-content: center;
+  height: 100%;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*
+ * Execution indicator
+ */
+.jp-tocItem-content::after {
+  content: '';
+
+  /* Must be identical to form a circle */
+  width: 12px;
+  height: 12px;
+  background: none;
+  border: none;
+  position: absolute;
+  right: 0;
+}
+
+.jp-tocItem-content[data-running='0']::after {
+  border-radius: 50%;
+  border: var(--jp-border-width) solid var(--jp-inverse-layout-color3);
+  background: none;
+}
+
+.jp-tocItem-content[data-running='1']::after {
+  border-radius: 50%;
+  border: var(--jp-border-width) solid var(--jp-inverse-layout-color3);
+  background-color: var(--jp-inverse-layout-color3);
+}
+
+.jp-tocItem-content[data-running='0'],
+.jp-tocItem-content[data-running='1'] {
+  margin-right: 12px;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-Notebook-footer {
+  height: 27px;
+  margin-left: calc(
+    var(--jp-cell-prompt-width) + var(--jp-cell-collapser-width) +
+      var(--jp-cell-padding)
+  );
+  width: calc(
+    100% -
+      (
+        var(--jp-cell-prompt-width) + var(--jp-cell-collapser-width) +
+          var(--jp-cell-padding) + var(--jp-cell-padding)
+      )
+  );
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  color: var(--jp-ui-font-color3);
+  margin-top: 6px;
+  background: none;
+  cursor: pointer;
+}
+
+.jp-Notebook-footer:focus {
+  border-color: var(--jp-cell-editor-active-border-color);
+}
+
+/* For devices that support hovering, hide footer until hover */
+@media (hover: hover) {
+  .jp-Notebook-footer {
+    opacity: 0;
+  }
+
+  .jp-Notebook-footer:focus,
+  .jp-Notebook-footer:hover {
+    opacity: 1;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Imports
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| CSS variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-side-by-side-output-size: 1fr;
+  --jp-side-by-side-resized-cell: var(--jp-side-by-side-output-size);
+  --jp-private-notebook-dragImage-width: 304px;
+  --jp-private-notebook-dragImage-height: 36px;
+  --jp-private-notebook-selected-color: var(--md-blue-400);
+  --jp-private-notebook-active-color: var(--md-green-400);
+}
+
+/*-----------------------------------------------------------------------------
+| Notebook
+|----------------------------------------------------------------------------*/
+
+/* stylelint-disable selector-max-class */
+
+.jp-NotebookPanel {
+  display: block;
+  height: 100%;
+}
+
+.jp-NotebookPanel.jp-Document {
+  min-width: 240px;
+  min-height: 120px;
+}
+
+.jp-Notebook {
+  padding: var(--jp-notebook-padding);
+  outline: none;
+  overflow: auto;
+  background: var(--jp-layout-color0);
+}
+
+.jp-Notebook.jp-mod-scrollPastEnd::after {
+  display: block;
+  content: '';
+  min-height: var(--jp-notebook-scroll-padding);
+}
+
+.jp-MainAreaWidget-ContainStrict .jp-Notebook * {
+  contain: strict;
+}
+
+.jp-Notebook .jp-Cell {
+  overflow: visible;
+}
+
+.jp-Notebook .jp-Cell .jp-InputPrompt {
+  cursor: move;
+}
+
+/*-----------------------------------------------------------------------------
+| Notebook state related styling
+|
+| The notebook and cells each have states, here are the possibilities:
+|
+| - Notebook
+|   - Command
+|   - Edit
+| - Cell
+|   - None
+|   - Active (only one can be active)
+|   - Selected (the cells actions are applied to)
+|   - Multiselected (when multiple selected, the cursor)
+|   - No outputs
+|----------------------------------------------------------------------------*/
+
+/* Command or edit modes */
+
+.jp-Notebook .jp-Cell:not(.jp-mod-active) .jp-InputPrompt {
+  opacity: var(--jp-cell-prompt-not-active-opacity);
+  color: var(--jp-cell-prompt-not-active-font-color);
+}
+
+.jp-Notebook .jp-Cell:not(.jp-mod-active) .jp-OutputPrompt {
+  opacity: var(--jp-cell-prompt-not-active-opacity);
+  color: var(--jp-cell-prompt-not-active-font-color);
+}
+
+/* cell is active */
+.jp-Notebook .jp-Cell.jp-mod-active .jp-Collapser {
+  background: var(--jp-brand-color1);
+}
+
+/* cell is dirty */
+.jp-Notebook .jp-Cell.jp-mod-dirty .jp-InputPrompt {
+  color: var(--jp-warn-color1);
+}
+
+.jp-Notebook .jp-Cell.jp-mod-dirty .jp-InputPrompt::before {
+  color: var(--jp-warn-color1);
+  content: '•';
+}
+
+.jp-Notebook .jp-Cell.jp-mod-active.jp-mod-dirty .jp-Collapser {
+  background: var(--jp-warn-color1);
+}
+
+/* collapser is hovered */
+.jp-Notebook .jp-Cell .jp-Collapser:hover {
+  box-shadow: var(--jp-elevation-z2);
+  background: var(--jp-brand-color1);
+  opacity: var(--jp-cell-collapser-not-active-hover-opacity);
+}
+
+/* cell is active and collapser is hovered */
+.jp-Notebook .jp-Cell.jp-mod-active .jp-Collapser:hover {
+  background: var(--jp-brand-color0);
+  opacity: 1;
+}
+
+/* Command mode */
+
+.jp-Notebook.jp-mod-commandMode .jp-Cell.jp-mod-selected {
+  background: var(--jp-notebook-multiselected-color);
+}
+
+.jp-Notebook.jp-mod-commandMode
+  .jp-Cell.jp-mod-active.jp-mod-selected:not(.jp-mod-multiSelected) {
+  background: transparent;
+}
+
+/* Edit mode */
+
+.jp-Notebook.jp-mod-editMode .jp-Cell.jp-mod-active .jp-InputArea-editor {
+  border: var(--jp-border-width) solid var(--jp-cell-editor-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+  background-color: var(--jp-cell-editor-active-background);
+}
+
+/*-----------------------------------------------------------------------------
+| Notebook drag and drop
+|----------------------------------------------------------------------------*/
+
+.jp-Notebook-cell.jp-mod-dropSource {
+  opacity: 0.5;
+}
+
+.jp-Notebook-cell.jp-mod-dropTarget,
+.jp-Notebook.jp-mod-commandMode
+  .jp-Notebook-cell.jp-mod-active.jp-mod-selected.jp-mod-dropTarget {
+  border-top-color: var(--jp-private-notebook-selected-color);
+  border-top-style: solid;
+  border-top-width: 2px;
+}
+
+.jp-dragImage {
+  display: block;
+  flex-direction: row;
+  width: var(--jp-private-notebook-dragImage-width);
+  height: var(--jp-private-notebook-dragImage-height);
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  background: var(--jp-cell-editor-background);
+  overflow: visible;
+}
+
+.jp-dragImage-singlePrompt {
+  box-shadow: 2px 2px 4px 0 rgba(0, 0, 0, 0.12);
+}
+
+.jp-dragImage .jp-dragImage-content {
+  flex: 1 1 auto;
+  z-index: 2;
+  font-size: var(--jp-code-font-size);
+  font-family: var(--jp-code-font-family);
+  line-height: var(--jp-code-line-height);
+  padding: var(--jp-code-padding);
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  background: var(--jp-cell-editor-background-color);
+  color: var(--jp-content-font-color3);
+  text-align: left;
+  margin: 4px 4px 4px 0;
+}
+
+.jp-dragImage .jp-dragImage-prompt {
+  flex: 0 0 auto;
+  min-width: 36px;
+  color: var(--jp-cell-inprompt-font-color);
+  padding: var(--jp-code-padding);
+  padding-left: 12px;
+  font-family: var(--jp-cell-prompt-font-family);
+  letter-spacing: var(--jp-cell-prompt-letter-spacing);
+  line-height: 1.9;
+  font-size: var(--jp-code-font-size);
+  border: var(--jp-border-width) solid transparent;
+}
+
+.jp-dragImage-multipleBack {
+  z-index: -1;
+  position: absolute;
+  height: 32px;
+  width: 300px;
+  top: 8px;
+  left: 8px;
+  background: var(--jp-layout-color2);
+  border: var(--jp-border-width) solid var(--jp-input-border-color);
+  box-shadow: 2px 2px 4px 0 rgba(0, 0, 0, 0.12);
+}
+
+/*-----------------------------------------------------------------------------
+| Cell toolbar
+|----------------------------------------------------------------------------*/
+
+.jp-NotebookTools {
+  display: block;
+  min-width: var(--jp-sidebar-min-width);
+  color: var(--jp-ui-font-color1);
+  background: var(--jp-layout-color1);
+
+  /* This is needed so that all font sizing of children done in ems is
+    * relative to this base size */
+  font-size: var(--jp-ui-font-size1);
+  overflow: auto;
+}
+
+.jp-ActiveCellTool {
+  padding: 12px 0;
+  display: flex;
+}
+
+.jp-ActiveCellTool-Content {
+  flex: 1 1 auto;
+}
+
+.jp-ActiveCellTool .jp-ActiveCellTool-CellContent {
+  background: var(--jp-cell-editor-background);
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  border-radius: 0;
+  min-height: 29px;
+}
+
+.jp-ActiveCellTool .jp-InputPrompt {
+  min-width: calc(var(--jp-cell-prompt-width) * 0.75);
+}
+
+.jp-ActiveCellTool-CellContent > pre {
+  padding: 5px 4px;
+  margin: 0;
+  white-space: normal;
+}
+
+.jp-MetadataEditorTool {
+  flex-direction: column;
+  padding: 12px 0;
+}
+
+.jp-RankedPanel > :not(:first-child) {
+  margin-top: 12px;
+}
+
+.jp-KeySelector select.jp-mod-styled {
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color0);
+  border: var(--jp-border-width) solid var(--jp-border-color1);
+}
+
+.jp-KeySelector label,
+.jp-MetadataEditorTool label,
+.jp-NumberSetter label {
+  line-height: 1.4;
+}
+
+.jp-NotebookTools .jp-select-wrapper {
+  margin-top: 4px;
+  margin-bottom: 0;
+}
+
+.jp-NumberSetter input {
+  width: 100%;
+  margin-top: 4px;
+}
+
+.jp-NotebookTools .jp-Collapse {
+  margin-top: 16px;
+}
+
+/*-----------------------------------------------------------------------------
+| Presentation Mode (.jp-mod-presentationMode)
+|----------------------------------------------------------------------------*/
+
+.jp-mod-presentationMode .jp-Notebook {
+  --jp-content-font-size1: var(--jp-content-presentation-font-size1);
+  --jp-code-font-size: var(--jp-code-presentation-font-size);
+}
+
+.jp-mod-presentationMode .jp-Notebook .jp-Cell .jp-InputPrompt,
+.jp-mod-presentationMode .jp-Notebook .jp-Cell .jp-OutputPrompt {
+  flex: 0 0 110px;
+}
+
+/*-----------------------------------------------------------------------------
+| Side-by-side Mode (.jp-mod-sideBySide)
+|----------------------------------------------------------------------------*/
+.jp-mod-sideBySide.jp-Notebook .jp-Notebook-cell {
+  margin-top: 3em;
+  margin-bottom: 3em;
+  margin-left: 5%;
+  margin-right: 5%;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell {
+  display: grid;
+  grid-template-columns: minmax(0, 1fr) min-content minmax(
+      0,
+      var(--jp-side-by-side-output-size)
+    );
+  grid-template-rows: auto minmax(0, 1fr) auto;
+  grid-template-areas:
+    'header header header'
+    'input handle output'
+    'footer footer footer';
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell.jp-mod-resizedCell {
+  grid-template-columns: minmax(0, 1fr) min-content minmax(
+      0,
+      var(--jp-side-by-side-resized-cell)
+    );
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellHeader {
+  grid-area: header;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-Cell-inputWrapper {
+  grid-area: input;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-Cell-outputWrapper {
+  /* overwrite the default margin (no vertical separation needed in side by side move */
+  margin-top: 0;
+  grid-area: output;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellFooter {
+  grid-area: footer;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellResizeHandle {
+  grid-area: handle;
+  user-select: none;
+  display: block;
+  height: 100%;
+  cursor: ew-resize;
+  padding: 0 var(--jp-cell-padding);
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellResizeHandle::after {
+  content: '';
+  display: block;
+  background: var(--jp-border-color2);
+  height: 100%;
+  width: 5px;
+}
+
+.jp-mod-sideBySide.jp-Notebook
+  .jp-CodeCell.jp-mod-resizedCell
+  .jp-CellResizeHandle::after {
+  background: var(--jp-border-color0);
+}
+
+.jp-CellResizeHandle {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Placeholder
+|----------------------------------------------------------------------------*/
+
+.jp-Cell-Placeholder {
+  padding-left: 55px;
+}
+
+.jp-Cell-Placeholder-wrapper {
+  background: #fff;
+  border: 1px solid;
+  border-color: #e5e6e9 #dfe0e4 #d0d1d5;
+  border-radius: 4px;
+  -webkit-border-radius: 4px;
+  margin: 10px 15px;
+}
+
+.jp-Cell-Placeholder-wrapper-inner {
+  padding: 15px;
+  position: relative;
+}
+
+.jp-Cell-Placeholder-wrapper-body {
+  background-repeat: repeat;
+  background-size: 50% auto;
+}
+
+.jp-Cell-Placeholder-wrapper-body div {
+  background: #f6f7f8;
+  background-image: -webkit-linear-gradient(
+    left,
+    #f6f7f8 0%,
+    #edeef1 20%,
+    #f6f7f8 40%,
+    #f6f7f8 100%
+  );
+  background-repeat: no-repeat;
+  background-size: 800px 104px;
+  height: 104px;
+  position: absolute;
+  right: 15px;
+  left: 15px;
+  top: 15px;
+}
+
+div.jp-Cell-Placeholder-h1 {
+  top: 20px;
+  height: 20px;
+  left: 15px;
+  width: 150px;
+}
+
+div.jp-Cell-Placeholder-h2 {
+  left: 15px;
+  top: 50px;
+  height: 10px;
+  width: 100px;
+}
+
+div.jp-Cell-Placeholder-content-1,
+div.jp-Cell-Placeholder-content-2,
+div.jp-Cell-Placeholder-content-3 {
+  left: 15px;
+  right: 15px;
+  height: 10px;
+}
+
+div.jp-Cell-Placeholder-content-1 {
+  top: 100px;
+}
+
+div.jp-Cell-Placeholder-content-2 {
+  top: 120px;
+}
+
+div.jp-Cell-Placeholder-content-3 {
+  top: 140px;
+}
+
+</style>
+<style type="text/css">
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*
+The following CSS variables define the main, public API for styling JupyterLab.
+These variables should be used by all plugins wherever possible. In other
+words, plugins should not define custom colors, sizes, etc unless absolutely
+necessary. This enables users to change the visual theme of JupyterLab
+by changing these variables.
+
+Many variables appear in an ordered sequence (0,1,2,3). These sequences
+are designed to work well together, so for example, `--jp-border-color1` should
+be used with `--jp-layout-color1`. The numbers have the following meanings:
+
+* 0: super-primary, reserved for special emphasis
+* 1: primary, most important under normal situations
+* 2: secondary, next most important under normal situations
+* 3: tertiary, next most important under normal situations
+
+Throughout JupyterLab, we are mostly following principles from Google's
+Material Design when selecting colors. We are not, however, following
+all of MD as it is not optimized for dense, information rich UIs.
+*/
+
+:root {
+  /* Elevation
+   *
+   * We style box-shadows using Material Design's idea of elevation. These particular numbers are taken from here:
+   *
+   * https://github.com/material-components/material-components-web
+   * https://material-components-web.appspot.com/elevation.html
+   */
+
+  --jp-shadow-base-lightness: 0;
+  --jp-shadow-umbra-color: rgba(
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    0.2
+  );
+  --jp-shadow-penumbra-color: rgba(
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    0.14
+  );
+  --jp-shadow-ambient-color: rgba(
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    0.12
+  );
+  --jp-elevation-z0: none;
+  --jp-elevation-z1: 0 2px 1px -1px var(--jp-shadow-umbra-color),
+    0 1px 1px 0 var(--jp-shadow-penumbra-color),
+    0 1px 3px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z2: 0 3px 1px -2px var(--jp-shadow-umbra-color),
+    0 2px 2px 0 var(--jp-shadow-penumbra-color),
+    0 1px 5px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z4: 0 2px 4px -1px var(--jp-shadow-umbra-color),
+    0 4px 5px 0 var(--jp-shadow-penumbra-color),
+    0 1px 10px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z6: 0 3px 5px -1px var(--jp-shadow-umbra-color),
+    0 6px 10px 0 var(--jp-shadow-penumbra-color),
+    0 1px 18px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z8: 0 5px 5px -3px var(--jp-shadow-umbra-color),
+    0 8px 10px 1px var(--jp-shadow-penumbra-color),
+    0 3px 14px 2px var(--jp-shadow-ambient-color);
+  --jp-elevation-z12: 0 7px 8px -4px var(--jp-shadow-umbra-color),
+    0 12px 17px 2px var(--jp-shadow-penumbra-color),
+    0 5px 22px 4px var(--jp-shadow-ambient-color);
+  --jp-elevation-z16: 0 8px 10px -5px var(--jp-shadow-umbra-color),
+    0 16px 24px 2px var(--jp-shadow-penumbra-color),
+    0 6px 30px 5px var(--jp-shadow-ambient-color);
+  --jp-elevation-z20: 0 10px 13px -6px var(--jp-shadow-umbra-color),
+    0 20px 31px 3px var(--jp-shadow-penumbra-color),
+    0 8px 38px 7px var(--jp-shadow-ambient-color);
+  --jp-elevation-z24: 0 11px 15px -7px var(--jp-shadow-umbra-color),
+    0 24px 38px 3px var(--jp-shadow-penumbra-color),
+    0 9px 46px 8px var(--jp-shadow-ambient-color);
+
+  /* Borders
+   *
+   * The following variables, specify the visual styling of borders in JupyterLab.
+   */
+
+  --jp-border-width: 1px;
+  --jp-border-color0: var(--md-grey-400);
+  --jp-border-color1: var(--md-grey-400);
+  --jp-border-color2: var(--md-grey-300);
+  --jp-border-color3: var(--md-grey-200);
+  --jp-inverse-border-color: var(--md-grey-600);
+  --jp-border-radius: 2px;
+
+  /* UI Fonts
+   *
+   * The UI font CSS variables are used for the typography all of the JupyterLab
+   * user interface elements that are not directly user generated content.
+   *
+   * The font sizing here is done assuming that the body font size of --jp-ui-font-size1
+   * is applied to a parent element. When children elements, such as headings, are sized
+   * in em all things will be computed relative to that body size.
+   */
+
+  --jp-ui-font-scale-factor: 1.2;
+  --jp-ui-font-size0: 0.83333em;
+  --jp-ui-font-size1: 13px; /* Base font size */
+  --jp-ui-font-size2: 1.2em;
+  --jp-ui-font-size3: 1.44em;
+  --jp-ui-font-family: system-ui, -apple-system, blinkmacsystemfont, 'Segoe UI',
+    helvetica, arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji',
+    'Segoe UI Symbol';
+
+  /*
+   * Use these font colors against the corresponding main layout colors.
+   * In a light theme, these go from dark to light.
+   */
+
+  /* Defaults use Material Design specification */
+  --jp-ui-font-color0: rgba(0, 0, 0, 1);
+  --jp-ui-font-color1: rgba(0, 0, 0, 0.87);
+  --jp-ui-font-color2: rgba(0, 0, 0, 0.54);
+  --jp-ui-font-color3: rgba(0, 0, 0, 0.38);
+
+  /*
+   * Use these against the brand/accent/warn/error colors.
+   * These will typically go from light to darker, in both a dark and light theme.
+   */
+
+  --jp-ui-inverse-font-color0: rgba(255, 255, 255, 1);
+  --jp-ui-inverse-font-color1: rgba(255, 255, 255, 1);
+  --jp-ui-inverse-font-color2: rgba(255, 255, 255, 0.7);
+  --jp-ui-inverse-font-color3: rgba(255, 255, 255, 0.5);
+
+  /* Content Fonts
+   *
+   * Content font variables are used for typography of user generated content.
+   *
+   * The font sizing here is done assuming that the body font size of --jp-content-font-size1
+   * is applied to a parent element. When children elements, such as headings, are sized
+   * in em all things will be computed relative to that body size.
+   */
+
+  --jp-content-line-height: 1.6;
+  --jp-content-font-scale-factor: 1.2;
+  --jp-content-font-size0: 0.83333em;
+  --jp-content-font-size1: 14px; /* Base font size */
+  --jp-content-font-size2: 1.2em;
+  --jp-content-font-size3: 1.44em;
+  --jp-content-font-size4: 1.728em;
+  --jp-content-font-size5: 2.0736em;
+
+  /* This gives a magnification of about 125% in presentation mode over normal. */
+  --jp-content-presentation-font-size1: 17px;
+  --jp-content-heading-line-height: 1;
+  --jp-content-heading-margin-top: 1.2em;
+  --jp-content-heading-margin-bottom: 0.8em;
+  --jp-content-heading-font-weight: 500;
+
+  /* Defaults use Material Design specification */
+  --jp-content-font-color0: rgba(0, 0, 0, 1);
+  --jp-content-font-color1: rgba(0, 0, 0, 0.87);
+  --jp-content-font-color2: rgba(0, 0, 0, 0.54);
+  --jp-content-font-color3: rgba(0, 0, 0, 0.38);
+  --jp-content-link-color: var(--md-blue-900);
+  --jp-content-font-family: system-ui, -apple-system, blinkmacsystemfont,
+    'Segoe UI', helvetica, arial, sans-serif, 'Apple Color Emoji',
+    'Segoe UI Emoji', 'Segoe UI Symbol';
+
+  /*
+   * Code Fonts
+   *
+   * Code font variables are used for typography of code and other monospaces content.
+   */
+
+  --jp-code-font-size: 13px;
+  --jp-code-line-height: 1.3077; /* 17px for 13px base */
+  --jp-code-padding: 5px; /* 5px for 13px base, codemirror highlighting needs integer px value */
+  --jp-code-font-family-default: menlo, consolas, 'DejaVu Sans Mono', monospace;
+  --jp-code-font-family: var(--jp-code-font-family-default);
+
+  /* This gives a magnification of about 125% in presentation mode over normal. */
+  --jp-code-presentation-font-size: 16px;
+
+  /* may need to tweak cursor width if you change font size */
+  --jp-code-cursor-width0: 1.4px;
+  --jp-code-cursor-width1: 2px;
+  --jp-code-cursor-width2: 4px;
+
+  /* Layout
+   *
+   * The following are the main layout colors use in JupyterLab. In a light
+   * theme these would go from light to dark.
+   */
+
+  --jp-layout-color0: white;
+  --jp-layout-color1: white;
+  --jp-layout-color2: var(--md-grey-200);
+  --jp-layout-color3: var(--md-grey-400);
+  --jp-layout-color4: var(--md-grey-600);
+
+  /* Inverse Layout
+   *
+   * The following are the inverse layout colors use in JupyterLab. In a light
+   * theme these would go from dark to light.
+   */
+
+  --jp-inverse-layout-color0: #111;
+  --jp-inverse-layout-color1: var(--md-grey-900);
+  --jp-inverse-layout-color2: var(--md-grey-800);
+  --jp-inverse-layout-color3: var(--md-grey-700);
+  --jp-inverse-layout-color4: var(--md-grey-600);
+
+  /* Brand/accent */
+
+  --jp-brand-color0: var(--md-blue-900);
+  --jp-brand-color1: var(--md-blue-700);
+  --jp-brand-color2: var(--md-blue-300);
+  --jp-brand-color3: var(--md-blue-100);
+  --jp-brand-color4: var(--md-blue-50);
+  --jp-accent-color0: var(--md-green-900);
+  --jp-accent-color1: var(--md-green-700);
+  --jp-accent-color2: var(--md-green-300);
+  --jp-accent-color3: var(--md-green-100);
+
+  /* State colors (warn, error, success, info) */
+
+  --jp-warn-color0: var(--md-orange-900);
+  --jp-warn-color1: var(--md-orange-700);
+  --jp-warn-color2: var(--md-orange-300);
+  --jp-warn-color3: var(--md-orange-100);
+  --jp-error-color0: var(--md-red-900);
+  --jp-error-color1: var(--md-red-700);
+  --jp-error-color2: var(--md-red-300);
+  --jp-error-color3: var(--md-red-100);
+  --jp-success-color0: var(--md-green-900);
+  --jp-success-color1: var(--md-green-700);
+  --jp-success-color2: var(--md-green-300);
+  --jp-success-color3: var(--md-green-100);
+  --jp-info-color0: var(--md-cyan-900);
+  --jp-info-color1: var(--md-cyan-700);
+  --jp-info-color2: var(--md-cyan-300);
+  --jp-info-color3: var(--md-cyan-100);
+
+  /* Cell specific styles */
+
+  --jp-cell-padding: 5px;
+  --jp-cell-collapser-width: 8px;
+  --jp-cell-collapser-min-height: 20px;
+  --jp-cell-collapser-not-active-hover-opacity: 0.6;
+  --jp-cell-editor-background: var(--md-grey-100);
+  --jp-cell-editor-border-color: var(--md-grey-300);
+  --jp-cell-editor-box-shadow: inset 0 0 2px var(--md-blue-300);
+  --jp-cell-editor-active-background: var(--jp-layout-color0);
+  --jp-cell-editor-active-border-color: var(--jp-brand-color1);
+  --jp-cell-prompt-width: 64px;
+  --jp-cell-prompt-font-family: var(--jp-code-font-family-default);
+  --jp-cell-prompt-letter-spacing: 0;
+  --jp-cell-prompt-opacity: 1;
+  --jp-cell-prompt-not-active-opacity: 0.5;
+  --jp-cell-prompt-not-active-font-color: var(--md-grey-700);
+
+  /* A custom blend of MD grey and blue 600
+   * See https://meyerweb.com/eric/tools/color-blend/#546E7A:1E88E5:5:hex */
+  --jp-cell-inprompt-font-color: #307fc1;
+
+  /* A custom blend of MD grey and orange 600
+   * https://meyerweb.com/eric/tools/color-blend/#546E7A:F4511E:5:hex */
+  --jp-cell-outprompt-font-color: #bf5b3d;
+
+  /* Notebook specific styles */
+
+  --jp-notebook-padding: 10px;
+  --jp-notebook-select-background: var(--jp-layout-color1);
+  --jp-notebook-multiselected-color: var(--md-blue-50);
+
+  /* The scroll padding is calculated to fill enough space at the bottom of the
+  notebook to show one single-line cell (with appropriate padding) at the top
+  when the notebook is scrolled all the way to the bottom. We also subtract one
+  pixel so that no scrollbar appears if we have just one single-line cell in the
+  notebook. This padding is to enable a 'scroll past end' feature in a notebook.
+  */
+  --jp-notebook-scroll-padding: calc(
+    100% - var(--jp-code-font-size) * var(--jp-code-line-height) -
+      var(--jp-code-padding) - var(--jp-cell-padding) - 1px
+  );
+
+  /* Rendermime styles */
+
+  --jp-rendermime-error-background: #fdd;
+  --jp-rendermime-table-row-background: var(--md-grey-100);
+  --jp-rendermime-table-row-hover-background: var(--md-light-blue-50);
+
+  /* Dialog specific styles */
+
+  --jp-dialog-background: rgba(0, 0, 0, 0.25);
+
+  /* Console specific styles */
+
+  --jp-console-padding: 10px;
+
+  /* Toolbar specific styles */
+
+  --jp-toolbar-border-color: var(--jp-border-color1);
+  --jp-toolbar-micro-height: 8px;
+  --jp-toolbar-background: var(--jp-layout-color1);
+  --jp-toolbar-box-shadow: 0 0 2px 0 rgba(0, 0, 0, 0.24);
+  --jp-toolbar-header-margin: 4px 4px 0 4px;
+  --jp-toolbar-active-background: var(--md-grey-300);
+
+  /* Statusbar specific styles */
+
+  --jp-statusbar-height: 24px;
+
+  /* Input field styles */
+
+  --jp-input-box-shadow: inset 0 0 2px var(--md-blue-300);
+  --jp-input-active-background: var(--jp-layout-color1);
+  --jp-input-hover-background: var(--jp-layout-color1);
+  --jp-input-background: var(--md-grey-100);
+  --jp-input-border-color: var(--jp-inverse-border-color);
+  --jp-input-active-border-color: var(--jp-brand-color1);
+  --jp-input-active-box-shadow-color: rgba(19, 124, 189, 0.3);
+
+  /* General editor styles */
+
+  --jp-editor-selected-background: #d9d9d9;
+  --jp-editor-selected-focused-background: #d7d4f0;
+  --jp-editor-cursor-color: var(--jp-ui-font-color0);
+
+  /* Code mirror specific styles */
+
+  --jp-mirror-editor-keyword-color: #008000;
+  --jp-mirror-editor-atom-color: #88f;
+  --jp-mirror-editor-number-color: #080;
+  --jp-mirror-editor-def-color: #00f;
+  --jp-mirror-editor-variable-color: var(--md-grey-900);
+  --jp-mirror-editor-variable-2-color: rgb(0, 54, 109);
+  --jp-mirror-editor-variable-3-color: #085;
+  --jp-mirror-editor-punctuation-color: #05a;
+  --jp-mirror-editor-property-color: #05a;
+  --jp-mirror-editor-operator-color: #a2f;
+  --jp-mirror-editor-comment-color: #408080;
+  --jp-mirror-editor-string-color: #ba2121;
+  --jp-mirror-editor-string-2-color: #708;
+  --jp-mirror-editor-meta-color: #a2f;
+  --jp-mirror-editor-qualifier-color: #555;
+  --jp-mirror-editor-builtin-color: #008000;
+  --jp-mirror-editor-bracket-color: #997;
+  --jp-mirror-editor-tag-color: #170;
+  --jp-mirror-editor-attribute-color: #00c;
+  --jp-mirror-editor-header-color: blue;
+  --jp-mirror-editor-quote-color: #090;
+  --jp-mirror-editor-link-color: #00c;
+  --jp-mirror-editor-error-color: #f00;
+  --jp-mirror-editor-hr-color: #999;
+
+  /*
+    RTC user specific colors.
+    These colors are used for the cursor, username in the editor,
+    and the icon of the user.
+  */
+
+  --jp-collaborator-color1: #ffad8e;
+  --jp-collaborator-color2: #dac83d;
+  --jp-collaborator-color3: #72dd76;
+  --jp-collaborator-color4: #00e4d0;
+  --jp-collaborator-color5: #45d4ff;
+  --jp-collaborator-color6: #e2b1ff;
+  --jp-collaborator-color7: #ff9de6;
+
+  /* Vega extension styles */
+
+  --jp-vega-background: white;
+
+  /* Sidebar-related styles */
+
+  --jp-sidebar-min-width: 250px;
+
+  /* Search-related styles */
+
+  --jp-search-toggle-off-opacity: 0.5;
+  --jp-search-toggle-hover-opacity: 0.8;
+  --jp-search-toggle-on-opacity: 1;
+  --jp-search-selected-match-background-color: rgb(245, 200, 0);
+  --jp-search-selected-match-color: black;
+  --jp-search-unselected-match-background-color: var(
+    --jp-inverse-layout-color0
+  );
+  --jp-search-unselected-match-color: var(--jp-ui-inverse-font-color0);
+
+  /* Icon colors that work well with light or dark backgrounds */
+  --jp-icon-contrast-color0: var(--md-purple-600);
+  --jp-icon-contrast-color1: var(--md-green-600);
+  --jp-icon-contrast-color2: var(--md-pink-600);
+  --jp-icon-contrast-color3: var(--md-blue-600);
+
+  /* Button colors */
+  --jp-accept-color-normal: var(--md-blue-700);
+  --jp-accept-color-hover: var(--md-blue-800);
+  --jp-accept-color-active: var(--md-blue-900);
+  --jp-warn-color-normal: var(--md-red-700);
+  --jp-warn-color-hover: var(--md-red-800);
+  --jp-warn-color-active: var(--md-red-900);
+  --jp-reject-color-normal: var(--md-grey-600);
+  --jp-reject-color-hover: var(--md-grey-700);
+  --jp-reject-color-active: var(--md-grey-800);
+
+  /* File or activity icons and switch semantic variables */
+  --jp-jupyter-icon-color: #f37626;
+  --jp-notebook-icon-color: #f37626;
+  --jp-json-icon-color: var(--md-orange-700);
+  --jp-console-icon-background-color: var(--md-blue-700);
+  --jp-console-icon-color: white;
+  --jp-terminal-icon-background-color: var(--md-grey-800);
+  --jp-terminal-icon-color: var(--md-grey-200);
+  --jp-text-editor-icon-color: var(--md-grey-700);
+  --jp-inspector-icon-color: var(--md-grey-700);
+  --jp-switch-color: var(--md-grey-400);
+  --jp-switch-true-position-color: var(--md-orange-900);
+}
+</style>
+<style type="text/css">
+/* Force rendering true colors when outputing to pdf */
+* {
+  -webkit-print-color-adjust: exact;
+}
+
+/* Misc */
+a.anchor-link {
+  display: none;
+}
+
+/* Input area styling */
+.jp-InputArea {
+  overflow: hidden;
+}
+
+.jp-InputArea-editor {
+  overflow: hidden;
+}
+
+.cm-editor.cm-s-jupyter .highlight pre {
+/* weird, but --jp-code-padding defined to be 5px but 4px horizontal padding is hardcoded for pre.cm-line */
+  padding: var(--jp-code-padding) 4px;
+  margin: 0;
+
+  font-family: inherit;
+  font-size: inherit;
+  line-height: inherit;
+  color: inherit;
+
+}
+
+.jp-OutputArea-output pre {
+  line-height: inherit;
+  font-family: inherit;
+}
+
+.jp-RenderedText pre {
+  color: var(--jp-content-font-color1);
+  font-size: var(--jp-code-font-size);
+}
+
+/* Hiding the collapser by default */
+.jp-Collapser {
+  display: none;
+}
+
+@page {
+    margin: 0.5in; /* Margin for each printed piece of paper */
+}
+
+@media print {
+  .jp-Cell-inputWrapper,
+  .jp-Cell-outputWrapper {
+    display: block;
+  }
+}
+</style>
+<!-- Load mathjax -->
+<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/latest.js?config=TeX-AMS_CHTML-full,Safe"> </script>
+<!-- MathJax configuration -->
+<script type="text/x-mathjax-config">
+    init_mathjax = function() {
+        if (window.MathJax) {
+        // MathJax loaded
+            MathJax.Hub.Config({
+                TeX: {
+                    equationNumbers: {
+                    autoNumber: "AMS",
+                    useLabelIds: true
+                    }
+                },
+                tex2jax: {
+                    inlineMath: [ ['$','$'], ["\\(","\\)"] ],
+                    displayMath: [ ['$$','$$'], ["\\[","\\]"] ],
+                    processEscapes: true,
+                    processEnvironments: true
+                },
+                displayAlign: 'center',
+                CommonHTML: {
+                    linebreaks: {
+                    automatic: true
+                    }
+                }
+            });
+
+            MathJax.Hub.Queue(["Typeset", MathJax.Hub]);
+        }
+    }
+    init_mathjax();
+    </script>
+<!-- End of mathjax configuration --><script type="module">
+  document.addEventListener("DOMContentLoaded", async () => {
+    const diagrams = document.querySelectorAll(".jp-Mermaid > pre.mermaid");
+    // do not load mermaidjs if not needed
+    if (!diagrams.length) {
+      return;
+    }
+    const mermaid = (await import("https://cdnjs.cloudflare.com/ajax/libs/mermaid/10.6.0/mermaid.esm.min.mjs")).default;
+    const parser = new DOMParser();
+
+    mermaid.initialize({
+      maxTextSize: 100000,
+      startOnLoad: false,
+      fontFamily: window
+        .getComputedStyle(document.body)
+        .getPropertyValue("--jp-ui-font-family"),
+      theme: document.querySelector("body[data-jp-theme-light='true']")
+        ? "default"
+        : "dark",
+    });
+
+    let _nextMermaidId = 0;
+
+    function makeMermaidImage(svg) {
+      const img = document.createElement("img");
+      const doc = parser.parseFromString(svg, "image/svg+xml");
+      const svgEl = doc.querySelector("svg");
+      const { maxWidth } = svgEl?.style || {};
+      const firstTitle = doc.querySelector("title");
+      const firstDesc = doc.querySelector("desc");
+
+      img.setAttribute("src", `data:image/svg+xml,${encodeURIComponent(svg)}`);
+      if (maxWidth) {
+        img.width = parseInt(maxWidth);
+      }
+      if (firstTitle) {
+        img.setAttribute("alt", firstTitle.textContent);
+      }
+      if (firstDesc) {
+        const caption = document.createElement("figcaption");
+        caption.className = "sr-only";
+        caption.textContent = firstDesc.textContent;
+        return [img, caption];
+      }
+      return [img];
+    }
+
+    async function makeMermaidError(text) {
+      let errorMessage = "";
+      try {
+        await mermaid.parse(text);
+      } catch (err) {
+        errorMessage = `${err}`;
+      }
+
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+        output = document.createElement("figure");
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+      parent.appendChild(output);
+    }
+
+    void Promise.all([...diagrams].map(renderOneMarmaid));
+  });
+</script>
+<style>
+  .jp-Mermaid:not(.jp-RenderedMermaid) {
+    display: none;
+  }
+
+  .jp-RenderedMermaid {
+    overflow: auto;
+    display: flex;
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+
+  .jp-RenderedMermaid.jp-mod-warning {
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+    color: var(--jp-ui-font-color1);
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+</style>
+<!-- End of mermaid configuration --></head>
+<body class="jp-Notebook" data-jp-theme-light="true" data-jp-theme-name="JupyterLab Light">
+<main>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h1 id="Streaming:-Processing-Unlimited-Frames-On-Disk">Streaming: Processing Unlimited Frames On-Disk<a class="anchor-link" href="#Streaming:-Processing-Unlimited-Frames-On-Disk">¶</a></h1>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>A key feature of trackpy is the ability to process an unlimited number of frames.</p>
+<p>For feature-finding, this is straightforward: a frame is loaded, features are located, the locations are saved the disk, and the memory is cleared for the next frame. For linking, the problem is more challenging, but trackpy handles all this complexity for you, using as little memory as possible throughout.</p>
+<p>When data sets become large, beginning-friendly file formats like CSV or Excel become impractical. We recommend using the <a href="https://support.hdfgroup.org/HDF5/">HDF5 file format</a>, which is trackpy can read and write out of the box. (HDF5 is <a href="http://en.wikipedia.org/wiki/Hierarchical_Data_Format">widely used</a>; you can be sure it will be around for many, many years to come.)</p>
+<p>If you have some other format in mind, see the end of this tutorial, where we explain how to extend trackpy's interface to support other formats.</p>
+<h2 id="PyTables">PyTables<a class="anchor-link" href="#PyTables">¶</a></h2><p>You need pytables, which is normally included with the Anaconda distribution. If you find that you don't have it, you can easily install it using conda. Type this command into a Terminal or Command Prompt.</p>
+<pre><code>conda install pytables
+
+</code></pre>
+<h2 id="Locate-Features,-Streaming-Results-into-an-HDF5-File">Locate Features, Streaming Results into an HDF5 File<a class="anchor-link" href="#Locate-Features,-Streaming-Results-into-an-HDF5-File">¶</a></h2>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [1]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">trackpy</span> <span class="k">as</span> <span class="nn">tp</span>
+<span class="kn">import</span> <span class="nn">pims</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [2]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="nd">@pims</span><span class="o">.</span><span class="n">pipeline</span>
+<span class="k">def</span> <span class="nf">gray</span><span class="p">(</span><span class="n">image</span><span class="p">):</span>
+    <span class="k">return</span> <span class="n">image</span><span class="p">[:,</span> <span class="p">:,</span> <span class="mi">1</span><span class="p">]</span>
+
+<span class="n">images</span> <span class="o">=</span> <span class="n">gray</span><span class="p">(</span><span class="n">pims</span><span class="o">.</span><span class="n">open</span><span class="p">(</span><span class="s1">'../sample_data/bulk_water/*.png'</span><span class="p">))</span>
+<span class="n">images</span> <span class="o">=</span> <span class="n">images</span><span class="p">[:</span><span class="mi">10</span><span class="p">]</span>  <span class="c1"># We'll take just the first 10 frames for demo purposes.</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [3]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># For this demo, we'll first remove the file if it already exists.</span>
+<span class="o">!</span>rm<span class="w"> </span>-f<span class="w"> </span>data.h5
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>We can use <code>locate</code> inside a loop:</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [4]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="k">with</span> <span class="n">tp</span><span class="o">.</span><span class="n">PandasHDFStore</span><span class="p">(</span><span class="s1">'data.h5'</span><span class="p">)</span> <span class="k">as</span> <span class="n">s</span><span class="p">:</span>  <span class="c1"># This opens an HDF5 file. Data will be stored and retrieved by frame number.</span>
+    <span class="k">for</span> <span class="n">image</span> <span class="ow">in</span> <span class="n">images</span><span class="p">:</span>
+        <span class="n">features</span> <span class="o">=</span> <span class="n">tp</span><span class="o">.</span><span class="n">locate</span><span class="p">(</span><span class="n">image</span><span class="p">,</span> <span class="mi">11</span><span class="p">,</span> <span class="n">invert</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>  <span class="c1"># Find the features in a given frame.</span>
+        <span class="n">s</span><span class="o">.</span><span class="n">put</span><span class="p">(</span><span class="n">features</span><span class="p">)</span>  <span class="c1"># Save the features to the file before continuing to the next frame.</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>or, equivalently, we can use <code>batch</code>, which accepts the storage file as <code>output</code>.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [5]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="k">with</span> <span class="n">tp</span><span class="o">.</span><span class="n">PandasHDFStore</span><span class="p">(</span><span class="s1">'data.h5'</span><span class="p">)</span> <span class="k">as</span> <span class="n">s</span><span class="p">:</span>
+    <span class="n">tp</span><span class="o">.</span><span class="n">batch</span><span class="p">(</span><span class="n">images</span><span class="p">,</span> <span class="mi">11</span><span class="p">,</span> <span class="n">invert</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">output</span><span class="o">=</span><span class="n">s</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>Frame 9: 573 features
+</pre>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>We can get the data for a given frame:</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [6]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="k">with</span> <span class="n">tp</span><span class="o">.</span><span class="n">PandasHDFStore</span><span class="p">(</span><span class="s1">'data.h5'</span><span class="p">)</span> <span class="k">as</span> <span class="n">s</span><span class="p">:</span>
+    <span class="n">frame_2_results</span> <span class="o">=</span> <span class="n">s</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="mi">2</span><span class="p">)</span>
+    
+<span class="n">frame_2_results</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>  <span class="c1"># Display the first few rows.</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child jp-OutputArea-executeResult">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[6]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
+<div>
+<style scoped="">
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+<thead>
+<tr style="text-align: right;">
+<th></th>
+<th>y</th>
+<th>x</th>
+<th>mass</th>
+<th>size</th>
+<th>ecc</th>
+<th>signal</th>
+<th>raw_mass</th>
+<th>ep</th>
+<th>frame</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td>0</td>
+<td>5.509524</td>
+<td>497.075000</td>
+<td>72.537360</td>
+<td>2.870416</td>
+<td>0.029523</td>
+<td>2.158850</td>
+<td>10115.0</td>
+<td>0.768330</td>
+<td>2</td>
+</tr>
+<tr>
+<td>1</td>
+<td>5.652962</td>
+<td>295.981547</td>
+<td>266.747504</td>
+<td>2.322843</td>
+<td>0.247683</td>
+<td>16.407260</td>
+<td>10670.0</td>
+<td>0.078022</td>
+<td>2</td>
+</tr>
+<tr>
+<td>2</td>
+<td>6.350493</td>
+<td>68.049288</td>
+<td>236.523604</td>
+<td>2.351310</td>
+<td>0.044731</td>
+<td>10.362480</td>
+<td>10878.0</td>
+<td>0.058368</td>
+<td>2</td>
+</tr>
+<tr>
+<td>3</td>
+<td>6.405941</td>
+<td>336.590347</td>
+<td>209.322095</td>
+<td>1.996594</td>
+<td>0.127966</td>
+<td>15.111950</td>
+<td>10551.0</td>
+<td>0.096638</td>
+<td>2</td>
+</tr>
+<tr>
+<td>4</td>
+<td>6.899098</td>
+<td>432.617521</td>
+<td>363.723046</td>
+<td>2.855660</td>
+<td>0.466993</td>
+<td>14.334764</td>
+<td>10838.0</td>
+<td>0.061340</td>
+<td>2</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>Or dump all the data, if your machine has enough memory to hold it:</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [7]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="k">with</span> <span class="n">tp</span><span class="o">.</span><span class="n">PandasHDFStore</span><span class="p">(</span><span class="s1">'data.h5'</span><span class="p">)</span> <span class="k">as</span> <span class="n">s</span><span class="p">:</span>
+    <span class="n">all_results</span> <span class="o">=</span> <span class="n">s</span><span class="o">.</span><span class="n">dump</span><span class="p">()</span>
+    
+<span class="n">all_results</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>  <span class="c1"># Display the first few rows.</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child jp-OutputArea-executeResult">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[7]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
+<div>
+<style scoped="">
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+<thead>
+<tr style="text-align: right;">
+<th></th>
+<th>y</th>
+<th>x</th>
+<th>mass</th>
+<th>size</th>
+<th>ecc</th>
+<th>signal</th>
+<th>raw_mass</th>
+<th>ep</th>
+<th>frame</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td>0</td>
+<td>4.750000</td>
+<td>103.668564</td>
+<td>192.862485</td>
+<td>2.106615</td>
+<td>0.066390</td>
+<td>10.808405</td>
+<td>10714.0</td>
+<td>0.073666</td>
+<td>0</td>
+</tr>
+<tr>
+<td>1</td>
+<td>5.249231</td>
+<td>585.779487</td>
+<td>164.659302</td>
+<td>2.962674</td>
+<td>0.078936</td>
+<td>4.222033</td>
+<td>10702.0</td>
+<td>0.075116</td>
+<td>0</td>
+</tr>
+<tr>
+<td>2</td>
+<td>5.785986</td>
+<td>294.792544</td>
+<td>244.624615</td>
+<td>2.244542</td>
+<td>0.219217</td>
+<td>15.874846</td>
+<td>10686.0</td>
+<td>0.077141</td>
+<td>0</td>
+</tr>
+<tr>
+<td>3</td>
+<td>5.869369</td>
+<td>338.173423</td>
+<td>187.458282</td>
+<td>2.046201</td>
+<td>0.185333</td>
+<td>13.088304</td>
+<td>10554.0</td>
+<td>0.099201</td>
+<td>0</td>
+</tr>
+<tr>
+<td>4</td>
+<td>6.746377</td>
+<td>310.584169</td>
+<td>151.486558</td>
+<td>3.103294</td>
+<td>0.053342</td>
+<td>4.475355</td>
+<td>10403.0</td>
+<td>0.147430</td>
+<td>0</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>You can dump the first N frames using <code>s.dump(N)</code>.</p>
+<h2 id="Link-Trajectories,-Streaming-From-and-Updating-the-HDF5-File">Link Trajectories, Streaming From and Updating the HDF5 File<a class="anchor-link" href="#Link-Trajectories,-Streaming-From-and-Updating-the-HDF5-File">¶</a></h2>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [8]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="k">with</span> <span class="n">tp</span><span class="o">.</span><span class="n">PandasHDFStore</span><span class="p">(</span><span class="s1">'data.h5'</span><span class="p">)</span> <span class="k">as</span> <span class="n">s</span><span class="p">:</span>
+    <span class="k">for</span> <span class="n">linked</span> <span class="ow">in</span> <span class="n">tp</span><span class="o">.</span><span class="n">link_df_iter</span><span class="p">(</span><span class="n">s</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="n">neighbor_strategy</span><span class="o">=</span><span class="s1">'KDTree'</span><span class="p">):</span>
+        <span class="n">s</span><span class="o">.</span><span class="n">put</span><span class="p">(</span><span class="n">linked</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>Frame 9: 573 trajectories present.
+</pre>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>The original data is overwritten.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [9]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="k">with</span> <span class="n">tp</span><span class="o">.</span><span class="n">PandasHDFStore</span><span class="p">(</span><span class="s1">'data.h5'</span><span class="p">)</span> <span class="k">as</span> <span class="n">s</span><span class="p">:</span>
+    <span class="n">frame_2_results</span> <span class="o">=</span> <span class="n">s</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="mi">2</span><span class="p">)</span>
+    
+<span class="n">frame_2_results</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>  <span class="c1"># Display the first few rows.</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child jp-OutputArea-executeResult">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[9]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
+<div>
+<style scoped="">
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+<thead>
+<tr style="text-align: right;">
+<th></th>
+<th>y</th>
+<th>x</th>
+<th>mass</th>
+<th>size</th>
+<th>ecc</th>
+<th>signal</th>
+<th>raw_mass</th>
+<th>ep</th>
+<th>frame</th>
+<th>particle</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td>0</td>
+<td>5.509524</td>
+<td>497.075000</td>
+<td>72.537360</td>
+<td>2.870416</td>
+<td>0.029523</td>
+<td>2.158850</td>
+<td>10115.0</td>
+<td>0.768330</td>
+<td>2</td>
+<td>535</td>
+</tr>
+<tr>
+<td>1</td>
+<td>5.652962</td>
+<td>295.981547</td>
+<td>266.747504</td>
+<td>2.322843</td>
+<td>0.247683</td>
+<td>16.407260</td>
+<td>10670.0</td>
+<td>0.078022</td>
+<td>2</td>
+<td>2</td>
+</tr>
+<tr>
+<td>2</td>
+<td>6.350493</td>
+<td>68.049288</td>
+<td>236.523604</td>
+<td>2.351310</td>
+<td>0.044731</td>
+<td>10.362480</td>
+<td>10878.0</td>
+<td>0.058368</td>
+<td>2</td>
+<td>8</td>
+</tr>
+<tr>
+<td>3</td>
+<td>6.405941</td>
+<td>336.590347</td>
+<td>209.322095</td>
+<td>1.996594</td>
+<td>0.127966</td>
+<td>15.111950</td>
+<td>10551.0</td>
+<td>0.096638</td>
+<td>2</td>
+<td>3</td>
+</tr>
+<tr>
+<td>4</td>
+<td>6.899098</td>
+<td>432.617521</td>
+<td>363.723046</td>
+<td>2.855660</td>
+<td>0.466993</td>
+<td>14.334764</td>
+<td>10838.0</td>
+<td>0.061340</td>
+<td>2</td>
+<td>6</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="Framewise-Data-Interfaces">Framewise Data Interfaces<a class="anchor-link" href="#Framewise-Data-Interfaces">¶</a></h2><h3 id="Built-in-interfaces">Built-in interfaces<a class="anchor-link" href="#Built-in-interfaces">¶</a></h3><p>There are three different interfaces. You can use them interchangeably. They offer different performance advantages.</p>
+<ul>
+<li><a href="https://github.com/soft-matter/trackpy/blob/c309b83296c720b8b9fd9633259c2b9ea6740eeb/trackpy/framewise_data.py#L103-L161"><code>PandasHDFStore</code></a> -- fastest for a small (~100) number of frames</li>
+<li><a href="https://github.com/soft-matter/trackpy/blob/c309b83296c720b8b9fd9633259c2b9ea6740eeb/trackpy/framewise_data.py#L164-L227"><code>PandasHDFStoreBig</code></a> -- fastest for a medium or large number of frames</li>
+<li><a href="https://github.com/soft-matter/trackpy/blob/c309b83296c720b8b9fd9633259c2b9ea6740eeb/trackpy/framewise_data.py#L230-L320"><code>PandasHDFStoreSingleNode</code></a> -- optimizes HDF queries that access multiple frames (advanced)</li>
+</ul>
+<h3 id="Writing-your-own-interface">Writing your own interface<a class="anchor-link" href="#Writing-your-own-interface">¶</a></h3><p>Trackpy implements a generic interface that could be used to store and retrieve particle tracking data in any file format. We hope that it can make it easier for researchers who use different file formats to exchange data. Any in-house format could be accessed using the same simple interface demonstrated above.</p>
+<p>At present, the interface is implemented only for HDF5 files. To extend it to any format, write a class subclassing <a href="https://github.com/soft-matter/trackpy/blob/c309b83296c720b8b9fd9633259c2b9ea6740eeb/trackpy/framewise_data.py#L14-L86"><code>trackpy.FramewiseData</code></a>. This custom class must implement the methods <code>put</code>, <code>get</code>, <code>close</code>, and <code>__iter__</code> and the properties <code>max_frame</code> and <code>t_column</code>. Refer to the built-in classes in <a href="https://github.com/soft-matter/trackpy/blob/master/trackpy/framewise_data.py">framewise_data.py</a> for examples to work from.</p>
+</div>
+</div>
+</div>
+</div>
+</main>
+</body>
+</html>
+</section>
+
+
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+      
+  </div>
+</div>
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+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/tutorial/on-disk.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
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diff --git a/trackpy/v0.6.2/tutorial/parallel-locate.html b/trackpy/v0.6.2/tutorial/parallel-locate.html
new file mode 100644
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--- /dev/null
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+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
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+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
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+    <title>parallel-locate &#8212; trackpy 0.6.2 documentation</title>
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+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
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+                <li><a href="../tutorial.html">Tutorial</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="walkthrough.html">Walkthrough</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="performance.html">Performance</a></li>
+<li class="toctree-l1 current"><a class="current reference internal" href="#">Parallelized Feature Finding</a></li>
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+<li><a class="reference internal" href="#">parallel-locate</a></li>
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+      
+  <section id="parallel-locate">
+<h1>parallel-locate<a class="headerlink" href="#parallel-locate" title="Permalink to this heading">¶</a></h1>
+<!DOCTYPE html>
+
+<html lang="en">
+<head><meta charset="utf-8"/>
+<meta content="width=device-width, initial-scale=1.0" name="viewport"/>
+<title>parallel-locate</title><script src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.1.10/require.min.js"></script>
+<style type="text/css">
+    pre { line-height: 125%; }
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+.highlight .sx { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Other */
+.highlight .sr { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Regex */
+.highlight .s1 { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Single */
+.highlight .ss { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Symbol */
+.highlight .il { color: var(--jp-mirror-editor-number-color) } /* Literal.Number.Integer.Long */
+  </style>
+<style type="text/css">
+    
+.rendered_html ol {list-style:decimal; margin: 1em 2em;}
+
+/*
+div.cell {
+    width: 105ex;
+}
+*/
+
+div.text_cell_render {
+    font-family: "Palatino", serif;
+    line-height: 120%;
+}
+
+div.prompt {
+    font-family: "Consolas", monospace;
+}
+code, pre {
+    font-family: "Consolas", monospace;
+}
+
+div.CodeMirror { /* code font */
+    font-family: "Consolas", monospace;
+    font-size: 10pt;
+}
+
+/* header colours and fonts */
+h1 { color: #444; }
+h2 { color: #444; }
+h3 { color: #444; font-style: italic; font-weight: normal}
+
+
+
+  </style>
+<style type="text/css">
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*
+ * Mozilla scrollbar styling
+ */
+
+/* use standard opaque scrollbars for most nodes */
+[data-jp-theme-scrollbars='true'] {
+  scrollbar-color: rgb(var(--jp-scrollbar-thumb-color))
+    var(--jp-scrollbar-background-color);
+}
+
+/* for code nodes, use a transparent style of scrollbar. These selectors
+ * will match lower in the tree, and so will override the above */
+[data-jp-theme-scrollbars='true'] .CodeMirror-hscrollbar,
+[data-jp-theme-scrollbars='true'] .CodeMirror-vscrollbar {
+  scrollbar-color: rgba(var(--jp-scrollbar-thumb-color), 0.5) transparent;
+}
+
+/* tiny scrollbar */
+
+.jp-scrollbar-tiny {
+  scrollbar-color: rgba(var(--jp-scrollbar-thumb-color), 0.5) transparent;
+  scrollbar-width: thin;
+}
+
+/* tiny scrollbar */
+
+.jp-scrollbar-tiny::-webkit-scrollbar,
+.jp-scrollbar-tiny::-webkit-scrollbar-corner {
+  background-color: transparent;
+  height: 4px;
+  width: 4px;
+}
+
+.jp-scrollbar-tiny::-webkit-scrollbar-thumb {
+  background: rgba(var(--jp-scrollbar-thumb-color), 0.5);
+}
+
+.jp-scrollbar-tiny::-webkit-scrollbar-track:horizontal {
+  border-left: 0 solid transparent;
+  border-right: 0 solid transparent;
+}
+
+.jp-scrollbar-tiny::-webkit-scrollbar-track:vertical {
+  border-top: 0 solid transparent;
+  border-bottom: 0 solid transparent;
+}
+
+/*
+ * Lumino
+ */
+
+.lm-ScrollBar[data-orientation='horizontal'] {
+  min-height: 16px;
+  max-height: 16px;
+  min-width: 45px;
+  border-top: 1px solid #a0a0a0;
+}
+
+.lm-ScrollBar[data-orientation='vertical'] {
+  min-width: 16px;
+  max-width: 16px;
+  min-height: 45px;
+  border-left: 1px solid #a0a0a0;
+}
+
+.lm-ScrollBar-button {
+  background-color: #f0f0f0;
+  background-position: center center;
+  min-height: 15px;
+  max-height: 15px;
+  min-width: 15px;
+  max-width: 15px;
+}
+
+.lm-ScrollBar-button:hover {
+  background-color: #dadada;
+}
+
+.lm-ScrollBar-button.lm-mod-active {
+  background-color: #cdcdcd;
+}
+
+.lm-ScrollBar-track {
+  background: #f0f0f0;
+}
+
+.lm-ScrollBar-thumb {
+  background: #cdcdcd;
+}
+
+.lm-ScrollBar-thumb:hover {
+  background: #bababa;
+}
+
+.lm-ScrollBar-thumb.lm-mod-active {
+  background: #a0a0a0;
+}
+
+.lm-ScrollBar[data-orientation='horizontal'] .lm-ScrollBar-thumb {
+  height: 100%;
+  min-width: 15px;
+  border-left: 1px solid #a0a0a0;
+  border-right: 1px solid #a0a0a0;
+}
+
+.lm-ScrollBar[data-orientation='vertical'] .lm-ScrollBar-thumb {
+  width: 100%;
+  min-height: 15px;
+  border-top: 1px solid #a0a0a0;
+  border-bottom: 1px solid #a0a0a0;
+}
+
+.lm-ScrollBar[data-orientation='horizontal']
+  .lm-ScrollBar-button[data-action='decrement'] {
+  background-image: var(--jp-icon-caret-left);
+  background-size: 17px;
+}
+
+.lm-ScrollBar[data-orientation='horizontal']
+  .lm-ScrollBar-button[data-action='increment'] {
+  background-image: var(--jp-icon-caret-right);
+  background-size: 17px;
+}
+
+.lm-ScrollBar[data-orientation='vertical']
+  .lm-ScrollBar-button[data-action='decrement'] {
+  background-image: var(--jp-icon-caret-up);
+  background-size: 17px;
+}
+
+.lm-ScrollBar[data-orientation='vertical']
+  .lm-ScrollBar-button[data-action='increment'] {
+  background-image: var(--jp-icon-caret-down);
+  background-size: 17px;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-Widget {
+  box-sizing: border-box;
+  position: relative;
+  overflow: hidden;
+}
+
+.lm-Widget.lm-mod-hidden {
+  display: none !important;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.lm-AccordionPanel[data-orientation='horizontal'] > .lm-AccordionPanel-title {
+  /* Title is rotated for horizontal accordion panel using CSS */
+  display: block;
+  transform-origin: top left;
+  transform: rotate(-90deg) translate(-100%);
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette {
+  display: flex;
+  flex-direction: column;
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.lm-CommandPalette-search {
+  flex: 0 0 auto;
+}
+
+.lm-CommandPalette-content {
+  flex: 1 1 auto;
+  margin: 0;
+  padding: 0;
+  min-height: 0;
+  overflow: auto;
+  list-style-type: none;
+}
+
+.lm-CommandPalette-header {
+  overflow: hidden;
+  white-space: nowrap;
+  text-overflow: ellipsis;
+}
+
+.lm-CommandPalette-item {
+  display: flex;
+  flex-direction: row;
+}
+
+.lm-CommandPalette-itemIcon {
+  flex: 0 0 auto;
+}
+
+.lm-CommandPalette-itemContent {
+  flex: 1 1 auto;
+  overflow: hidden;
+}
+
+.lm-CommandPalette-itemShortcut {
+  flex: 0 0 auto;
+}
+
+.lm-CommandPalette-itemLabel {
+  overflow: hidden;
+  white-space: nowrap;
+  text-overflow: ellipsis;
+}
+
+.lm-close-icon {
+  border: 1px solid transparent;
+  background-color: transparent;
+  position: absolute;
+  z-index: 1;
+  right: 3%;
+  top: 0;
+  bottom: 0;
+  margin: auto;
+  padding: 7px 0;
+  display: none;
+  vertical-align: middle;
+  outline: 0;
+  cursor: pointer;
+}
+.lm-close-icon:after {
+  content: 'X';
+  display: block;
+  width: 15px;
+  height: 15px;
+  text-align: center;
+  color: #000;
+  font-weight: normal;
+  font-size: 12px;
+  cursor: pointer;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-DockPanel {
+  z-index: 0;
+}
+
+.lm-DockPanel-widget {
+  z-index: 0;
+}
+
+.lm-DockPanel-tabBar {
+  z-index: 1;
+}
+
+.lm-DockPanel-handle {
+  z-index: 2;
+}
+
+.lm-DockPanel-handle.lm-mod-hidden {
+  display: none !important;
+}
+
+.lm-DockPanel-handle:after {
+  position: absolute;
+  top: 0;
+  left: 0;
+  width: 100%;
+  height: 100%;
+  content: '';
+}
+
+.lm-DockPanel-handle[data-orientation='horizontal'] {
+  cursor: ew-resize;
+}
+
+.lm-DockPanel-handle[data-orientation='vertical'] {
+  cursor: ns-resize;
+}
+
+.lm-DockPanel-handle[data-orientation='horizontal']:after {
+  left: 50%;
+  min-width: 8px;
+  transform: translateX(-50%);
+}
+
+.lm-DockPanel-handle[data-orientation='vertical']:after {
+  top: 50%;
+  min-height: 8px;
+  transform: translateY(-50%);
+}
+
+.lm-DockPanel-overlay {
+  z-index: 3;
+  box-sizing: border-box;
+  pointer-events: none;
+}
+
+.lm-DockPanel-overlay.lm-mod-hidden {
+  display: none !important;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-Menu {
+  z-index: 10000;
+  position: absolute;
+  white-space: nowrap;
+  overflow-x: hidden;
+  overflow-y: auto;
+  outline: none;
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.lm-Menu-content {
+  margin: 0;
+  padding: 0;
+  display: table;
+  list-style-type: none;
+}
+
+.lm-Menu-item {
+  display: table-row;
+}
+
+.lm-Menu-item.lm-mod-hidden,
+.lm-Menu-item.lm-mod-collapsed {
+  display: none !important;
+}
+
+.lm-Menu-itemIcon,
+.lm-Menu-itemSubmenuIcon {
+  display: table-cell;
+  text-align: center;
+}
+
+.lm-Menu-itemLabel {
+  display: table-cell;
+  text-align: left;
+}
+
+.lm-Menu-itemShortcut {
+  display: table-cell;
+  text-align: right;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-MenuBar {
+  outline: none;
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.lm-MenuBar-content {
+  margin: 0;
+  padding: 0;
+  display: flex;
+  flex-direction: row;
+  list-style-type: none;
+}
+
+.lm-MenuBar-item {
+  box-sizing: border-box;
+}
+
+.lm-MenuBar-itemIcon,
+.lm-MenuBar-itemLabel {
+  display: inline-block;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-ScrollBar {
+  display: flex;
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.lm-ScrollBar[data-orientation='horizontal'] {
+  flex-direction: row;
+}
+
+.lm-ScrollBar[data-orientation='vertical'] {
+  flex-direction: column;
+}
+
+.lm-ScrollBar-button {
+  box-sizing: border-box;
+  flex: 0 0 auto;
+}
+
+.lm-ScrollBar-track {
+  box-sizing: border-box;
+  position: relative;
+  overflow: hidden;
+  flex: 1 1 auto;
+}
+
+.lm-ScrollBar-thumb {
+  box-sizing: border-box;
+  position: absolute;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-SplitPanel-child {
+  z-index: 0;
+}
+
+.lm-SplitPanel-handle {
+  z-index: 1;
+}
+
+.lm-SplitPanel-handle.lm-mod-hidden {
+  display: none !important;
+}
+
+.lm-SplitPanel-handle:after {
+  position: absolute;
+  top: 0;
+  left: 0;
+  width: 100%;
+  height: 100%;
+  content: '';
+}
+
+.lm-SplitPanel[data-orientation='horizontal'] > .lm-SplitPanel-handle {
+  cursor: ew-resize;
+}
+
+.lm-SplitPanel[data-orientation='vertical'] > .lm-SplitPanel-handle {
+  cursor: ns-resize;
+}
+
+.lm-SplitPanel[data-orientation='horizontal'] > .lm-SplitPanel-handle:after {
+  left: 50%;
+  min-width: 8px;
+  transform: translateX(-50%);
+}
+
+.lm-SplitPanel[data-orientation='vertical'] > .lm-SplitPanel-handle:after {
+  top: 50%;
+  min-height: 8px;
+  transform: translateY(-50%);
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-TabBar {
+  display: flex;
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.lm-TabBar[data-orientation='horizontal'] {
+  flex-direction: row;
+  align-items: flex-end;
+}
+
+.lm-TabBar[data-orientation='vertical'] {
+  flex-direction: column;
+  align-items: flex-end;
+}
+
+.lm-TabBar-content {
+  margin: 0;
+  padding: 0;
+  display: flex;
+  flex: 1 1 auto;
+  list-style-type: none;
+}
+
+.lm-TabBar[data-orientation='horizontal'] > .lm-TabBar-content {
+  flex-direction: row;
+}
+
+.lm-TabBar[data-orientation='vertical'] > .lm-TabBar-content {
+  flex-direction: column;
+}
+
+.lm-TabBar-tab {
+  display: flex;
+  flex-direction: row;
+  box-sizing: border-box;
+  overflow: hidden;
+  touch-action: none; /* Disable native Drag/Drop */
+}
+
+.lm-TabBar-tabIcon,
+.lm-TabBar-tabCloseIcon {
+  flex: 0 0 auto;
+}
+
+.lm-TabBar-tabLabel {
+  flex: 1 1 auto;
+  overflow: hidden;
+  white-space: nowrap;
+}
+
+.lm-TabBar-tabInput {
+  user-select: all;
+  width: 100%;
+  box-sizing: border-box;
+}
+
+.lm-TabBar-tab.lm-mod-hidden {
+  display: none !important;
+}
+
+.lm-TabBar-addButton.lm-mod-hidden {
+  display: none !important;
+}
+
+.lm-TabBar.lm-mod-dragging .lm-TabBar-tab {
+  position: relative;
+}
+
+.lm-TabBar.lm-mod-dragging[data-orientation='horizontal'] .lm-TabBar-tab {
+  left: 0;
+  transition: left 150ms ease;
+}
+
+.lm-TabBar.lm-mod-dragging[data-orientation='vertical'] .lm-TabBar-tab {
+  top: 0;
+  transition: top 150ms ease;
+}
+
+.lm-TabBar.lm-mod-dragging .lm-TabBar-tab.lm-mod-dragging {
+  transition: none;
+}
+
+.lm-TabBar-tabLabel .lm-TabBar-tabInput {
+  user-select: all;
+  width: 100%;
+  box-sizing: border-box;
+  background: inherit;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-TabPanel-tabBar {
+  z-index: 1;
+}
+
+.lm-TabPanel-stackedPanel {
+  z-index: 0;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Collapse {
+  display: flex;
+  flex-direction: column;
+  align-items: stretch;
+}
+
+.jp-Collapse-header {
+  padding: 1px 12px;
+  background-color: var(--jp-layout-color1);
+  border-bottom: solid var(--jp-border-width) var(--jp-border-color2);
+  color: var(--jp-ui-font-color1);
+  cursor: pointer;
+  display: flex;
+  align-items: center;
+  font-size: var(--jp-ui-font-size0);
+  font-weight: 600;
+  text-transform: uppercase;
+  user-select: none;
+}
+
+.jp-Collapser-icon {
+  height: 16px;
+}
+
+.jp-Collapse-header-collapsed .jp-Collapser-icon {
+  transform: rotate(-90deg);
+  margin: auto 0;
+}
+
+.jp-Collapser-title {
+  line-height: 25px;
+}
+
+.jp-Collapse-contents {
+  padding: 0 12px;
+  background-color: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  overflow: auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/* This file was auto-generated by ensureUiComponents() in @jupyterlab/buildutils */
+
+/**
+ * (DEPRECATED) Support for consuming icons as CSS background images
+ */
+
+/* Icons urls */
+
+:root {
+  --jp-icon-add-above: url(data:image/svg+xml;base64,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);
+  --jp-icon-add-below: url(data:image/svg+xml;base64,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);
+  --jp-icon-add: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE5IDEzaC02djZoLTJ2LTZINXYtMmg2VjVoMnY2aDZ2MnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-bell: url(data:image/svg+xml;base64,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);
+  --jp-icon-bug-dot: url(data:image/svg+xml;base64,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);
+  --jp-icon-bug: url(data:image/svg+xml;base64,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);
+  --jp-icon-build: url(data:image/svg+xml;base64,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);
+  --jp-icon-caret-down-empty-thin: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwIDIwIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwb2x5Z29uIGNsYXNzPSJzdDEiIHBvaW50cz0iOS45LDEzLjYgMy42LDcuNCA0LjQsNi42IDkuOSwxMi4yIDE1LjQsNi43IDE2LjEsNy40ICIvPgoJPC9nPgo8L3N2Zz4K);
+  --jp-icon-caret-down-empty: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik01LjIsNS45TDksOS43bDMuOC0zLjhsMS4yLDEuMmwtNC45LDVsLTQuOS01TDUuMiw1Ljl6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-caret-down: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik01LjIsNy41TDksMTEuMmwzLjgtMy44SDUuMnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-caret-left: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwYXRoIGQ9Ik0xMC44LDEyLjhMNy4xLDlsMy44LTMuOGwwLDcuNkgxMC44eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-caret-right: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik03LjIsNS4yTDEwLjksOWwtMy44LDMuOFY1LjJINy4yeiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-caret-up-empty-thin: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwIDIwIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwb2x5Z29uIGNsYXNzPSJzdDEiIHBvaW50cz0iMTUuNCwxMy4zIDkuOSw3LjcgNC40LDEzLjIgMy42LDEyLjUgOS45LDYuMyAxNi4xLDEyLjYgIi8+Cgk8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-caret-up: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwYXRoIGQ9Ik01LjIsMTAuNUw5LDYuOGwzLjgsMy44SDUuMnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-case-sensitive: url(data:image/svg+xml;base64,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);
+  --jp-icon-check: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIj4KICAgIDxwYXRoIGQ9Ik05IDE2LjE3TDQuODMgMTJsLTEuNDIgMS40MUw5IDE5IDIxIDdsLTEuNDEtMS40MXoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-circle-empty: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyIDJDNi40NyAyIDIgNi40NyAyIDEyczQuNDcgMTAgMTAgMTAgMTAtNC40NyAxMC0xMFMxNy41MyAyIDEyIDJ6bTAgMThjLTQuNDEgMC04LTMuNTktOC04czMuNTktOCA4LTggOCAzLjU5IDggOC0zLjU5IDgtOCA4eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-circle: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMTggMTgiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPGNpcmNsZSBjeD0iOSIgY3k9IjkiIHI9IjgiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-clear: url(data:image/svg+xml;base64,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);
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+  --jp-icon-code-check: url(data:image/svg+xml;base64,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);
+  --jp-icon-code: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjIiIGhlaWdodD0iMjIiIHZpZXdCb3g9IjAgMCAyOCAyOCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CgkJPHBhdGggZD0iTTExLjQgMTguNkw2LjggMTRMMTEuNCA5LjRMMTAgOEw0IDE0TDEwIDIwTDExLjQgMTguNlpNMTYuNiAxOC42TDIxLjIgMTRMMTYuNiA5LjRMMTggOEwyNCAxNEwxOCAyMEwxNi42IDE4LjZWMTguNloiLz4KCTwvZz4KPC9zdmc+Cg==);
+  --jp-icon-collapse-all: url(data:image/svg+xml;base64,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);
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+  --jp-icon-copyright: url(data:image/svg+xml;base64,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);
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+  --jp-icon-ellipses: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPGNpcmNsZSBjeD0iNSIgY3k9IjEyIiByPSIyIi8+CiAgICA8Y2lyY2xlIGN4PSIxMiIgY3k9IjEyIiByPSIyIi8+CiAgICA8Y2lyY2xlIGN4PSIxOSIgY3k9IjEyIiByPSIyIi8+CiAgPC9nPgo8L3N2Zz4K);
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+  --jp-icon-extension: url(data:image/svg+xml;base64,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);
+  --jp-icon-fast-forward: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIyNCIgaGVpZ2h0PSIyNCIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTQgMThsOC41LTZMNCA2djEyem05LTEydjEybDguNS02TDEzIDZ6Ii8+CiAgICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-file-upload: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTkgMTZoNnYtNmg0bC03LTctNyA3aDR6bS00IDJoMTR2Mkg1eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-file: url(data:image/svg+xml;base64,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);
+  --jp-icon-filter-dot: url(data:image/svg+xml;base64,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);
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+  --jp-icon-filter: url(data:image/svg+xml;base64,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);
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+  --jp-icon-home: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIGhlaWdodD0iMjRweCIgdmlld0JveD0iMCAwIDI0IDI0IiB3aWR0aD0iMjRweCIgZmlsbD0iIzAwMDAwMCI+CiAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPjxwYXRoIGNsYXNzPSJqcC1pY29uMyBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xMCAyMHYtNmg0djZoNXYtOGgzTDEyIDMgMiAxMmgzdjh6Ii8+Cjwvc3ZnPgo=);
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+  --jp-icon-info: url(data:image/svg+xml;base64,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);
+  --jp-icon-inspector: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaW5zcGVjdG9yLWljb24tY29sb3IganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMjAgNEg0Yy0xLjEgMC0xLjk5LjktMS45OSAyTDIgMThjMCAxLjEuOSAyIDIgMmgxNmMxLjEgMCAyLS45IDItMlY2YzAtMS4xLS45LTItMi0yem0tNSAxNEg0di00aDExdjR6bTAtNUg0VjloMTF2NHptNSA1aC00VjloNHY5eiIvPgo8L3N2Zz4K);
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+  --jp-icon-kernel: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGNsYXNzPSJqcC1pY29uMiIgZmlsbD0iIzYxNjE2MSIgZD0iTTE1IDlIOXY2aDZWOXptLTIgNGgtMnYtMmgydjJ6bTgtMlY5aC0yVjdjMC0xLjEtLjktMi0yLTJoLTJWM2gtMnYyaC0yVjNIOXYySDdjLTEuMSAwLTIgLjktMiAydjJIM3YyaDJ2MkgzdjJoMnYyYzAgMS4xLjkgMiAyIDJoMnYyaDJ2LTJoMnYyaDJ2LTJoMmMxLjEgMCAyLS45IDItMnYtMmgydi0yaC0ydi0yaDJ6bS00IDZIN1Y3aDEwdjEweiIvPgo8L3N2Zz4K);
+  --jp-icon-keyboard: url(data:image/svg+xml;base64,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);
+  --jp-icon-launch: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMzIgMzIiIHdpZHRoPSIzMiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIj4KICAgIDxwYXRoIGQ9Ik0yNiwyOEg2YTIuMDAyNywyLjAwMjcsMCwwLDEtMi0yVjZBMi4wMDI3LDIuMDAyNywwLDAsMSw2LDRIMTZWNkg2VjI2SDI2VjE2aDJWMjZBMi4wMDI3LDIuMDAyNywwLDAsMSwyNiwyOFoiLz4KICAgIDxwb2x5Z29uIHBvaW50cz0iMjAgMiAyMCA0IDI2LjU4NiA0IDE4IDEyLjU4NiAxOS40MTQgMTQgMjggNS40MTQgMjggMTIgMzAgMTIgMzAgMiAyMCAyIi8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-launcher: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMTkgMTlINVY1aDdWM0g1YTIgMiAwIDAwLTIgMnYxNGEyIDIgMCAwMDIgMmgxNGMxLjEgMCAyLS45IDItMnYtN2gtMnY3ek0xNCAzdjJoMy41OWwtOS44MyA5LjgzIDEuNDEgMS40MUwxOSA2LjQxVjEwaDJWM2gtN3oiLz4KPC9zdmc+Cg==);
+  --jp-icon-line-form: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGZpbGw9IndoaXRlIiBkPSJNNS44OCA0LjEyTDEzLjc2IDEybC03Ljg4IDcuODhMOCAyMmwxMC0xMEw4IDJ6Ii8+Cjwvc3ZnPgo=);
+  --jp-icon-link: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTMuOSAxMmMwLTEuNzEgMS4zOS0zLjEgMy4xLTMuMWg0VjdIN2MtMi43NiAwLTUgMi4yNC01IDVzMi4yNCA1IDUgNWg0di0xLjlIN2MtMS43MSAwLTMuMS0xLjM5LTMuMS0zLjF6TTggMTNoOHYtMkg4djJ6bTktNmgtNHYxLjloNGMxLjcxIDAgMy4xIDEuMzkgMy4xIDMuMXMtMS4zOSAzLjEtMy4xIDMuMWgtNFYxN2g0YzIuNzYgMCA1LTIuMjQgNS01cy0yLjI0LTUtNS01eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-list: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGNsYXNzPSJqcC1pY29uMiBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xOSA1djE0SDVWNWgxNG0xLjEtMkgzLjljLS41IDAtLjkuNC0uOS45djE2LjJjMCAuNC40LjkuOS45aDE2LjJjLjQgMCAuOS0uNS45LS45VjMuOWMwLS41LS41LS45LS45LS45ek0xMSA3aDZ2MmgtNlY3em0wIDRoNnYyaC02di0yem0wIDRoNnYyaC02ek03IDdoMnYySDd6bTAgNGgydjJIN3ptMCA0aDJ2Mkg3eiIvPgo8L3N2Zz4K);
+  --jp-icon-markdown: url(data:image/svg+xml;base64,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);
+  --jp-icon-move-down: url(data:image/svg+xml;base64,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);
+  --jp-icon-move-up: url(data:image/svg+xml;base64,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);
+  --jp-icon-new-folder: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTIwIDZoLThsLTItMkg0Yy0xLjExIDAtMS45OS44OS0xLjk5IDJMMiAxOGMwIDEuMTEuODkgMiAyIDJoMTZjMS4xMSAwIDItLjg5IDItMlY4YzAtMS4xMS0uODktMi0yLTJ6bS0xIDhoLTN2M2gtMnYtM2gtM3YtMmgzVjloMnYzaDN2MnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-not-trusted: url(data:image/svg+xml;base64,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);
+  --jp-icon-notebook: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtbm90ZWJvb2staWNvbi1jb2xvciBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiNFRjZDMDAiPgogICAgPHBhdGggZD0iTTE4LjcgMy4zdjE1LjRIMy4zVjMuM2gxNS40bTEuNS0xLjVIMS44djE4LjNoMTguM2wuMS0xOC4zeiIvPgogICAgPHBhdGggZD0iTTE2LjUgMTYuNWwtNS40LTQuMy01LjYgNC4zdi0xMWgxMXoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-numbering: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjIiIGhlaWdodD0iMjIiIHZpZXdCb3g9IjAgMCAyOCAyOCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CgkJPHBhdGggZD0iTTQgMTlINlYxOS41SDVWMjAuNUg2VjIxSDRWMjJIN1YxOEg0VjE5Wk01IDEwSDZWNkg0VjdINVYxMFpNNCAxM0g1LjhMNCAxNS4xVjE2SDdWMTVINS4yTDcgMTIuOVYxMkg0VjEzWk05IDdWOUgyM1Y3SDlaTTkgMjFIMjNWMTlIOVYyMVpNOSAxNUgyM1YxM0g5VjE1WiIvPgoJPC9nPgo8L3N2Zz4K);
+  --jp-icon-offline-bolt: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAyNCAyNCIgd2lkdGg9IjE2Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyIDIuMDJjLTUuNTEgMC05Ljk4IDQuNDctOS45OCA5Ljk4czQuNDcgOS45OCA5Ljk4IDkuOTggOS45OC00LjQ3IDkuOTgtOS45OFMxNy41MSAyLjAyIDEyIDIuMDJ6TTExLjQ4IDIwdi02LjI2SDhMMTMgNHY2LjI2aDMuMzVMMTEuNDggMjB6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-palette: url(data:image/svg+xml;base64,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);
+  --jp-icon-paste: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTE5IDJoLTQuMThDMTQuNC44NCAxMy4zIDAgMTIgMGMtMS4zIDAtMi40Ljg0LTIuODIgMkg1Yy0xLjEgMC0yIC45LTIgMnYxNmMwIDEuMS45IDIgMiAyaDE0YzEuMSAwIDItLjkgMi0yVjRjMC0xLjEtLjktMi0yLTJ6bS03IDBjLjU1IDAgMSAuNDUgMSAxcy0uNDUgMS0xIDEtMS0uNDUtMS0xIC40NS0xIDEtMXptNyAxOEg1VjRoMnYzaDEwVjRoMnYxNnoiLz4KICAgIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-pdf: url(data:image/svg+xml;base64,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);
+  --jp-icon-python: url(data:image/svg+xml;base64,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);
+  --jp-icon-r-kernel: url(data:image/svg+xml;base64,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);
+  --jp-icon-react: url(data:image/svg+xml;base64,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);
+  --jp-icon-redo: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIGhlaWdodD0iMjQiIHZpZXdCb3g9IjAgMCAyNCAyNCIgd2lkdGg9IjE2Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgICA8cGF0aCBkPSJNMCAwaDI0djI0SDB6IiBmaWxsPSJub25lIi8+PHBhdGggZD0iTTE4LjQgMTAuNkMxNi41NSA4Ljk5IDE0LjE1IDggMTEuNSA4Yy00LjY1IDAtOC41OCAzLjAzLTkuOTYgNy4yMkwzLjkgMTZjMS4wNS0zLjE5IDQuMDUtNS41IDcuNi01LjUgMS45NSAwIDMuNzMuNzIgNS4xMiAxLjg4TDEzIDE2aDlWN2wtMy42IDMuNnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-refresh: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTkgMTMuNWMtMi40OSAwLTQuNS0yLjAxLTQuNS00LjVTNi41MSA0LjUgOSA0LjVjMS4yNCAwIDIuMzYuNTIgMy4xNyAxLjMzTDEwIDhoNVYzbC0xLjc2IDEuNzZDMTIuMTUgMy42OCAxMC42NiAzIDkgMyA1LjY5IDMgMy4wMSA1LjY5IDMuMDEgOVM1LjY5IDE1IDkgMTVjMi45NyAwIDUuNDMtMi4xNiA1LjktNWgtMS41MmMtLjQ2IDItMi4yNCAzLjUtNC4zOCAzLjV6Ii8+CiAgICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-regex: url(data:image/svg+xml;base64,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);
+  --jp-icon-run: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTggNXYxNGwxMS03eiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-running: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDUxMiA1MTIiPgogIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICA8cGF0aCBkPSJNMjU2IDhDMTE5IDggOCAxMTkgOCAyNTZzMTExIDI0OCAyNDggMjQ4IDI0OC0xMTEgMjQ4LTI0OFMzOTMgOCAyNTYgOHptOTYgMzI4YzAgOC44LTcuMiAxNi0xNiAxNkgxNzZjLTguOCAwLTE2LTcuMi0xNi0xNlYxNzZjMC04LjggNy4yLTE2IDE2LTE2aDE2MGM4LjggMCAxNiA3LjIgMTYgMTZ2MTYweiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-save: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTE3IDNINWMtMS4xMSAwLTIgLjktMiAydjE0YzAgMS4xLjg5IDIgMiAyaDE0YzEuMSAwIDItLjkgMi0yVjdsLTQtNHptLTUgMTZjLTEuNjYgMC0zLTEuMzQtMy0zczEuMzQtMyAzLTMgMyAxLjM0IDMgMy0xLjM0IDMtMyAzem0zLTEwSDVWNWgxMHY0eiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-search: url(data:image/svg+xml;base64,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);
+  --jp-icon-settings: url(data:image/svg+xml;base64,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);
+  --jp-icon-share: url(data:image/svg+xml;base64,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);
+  --jp-icon-spreadsheet: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8cGF0aCBjbGFzcz0ianAtaWNvbi1jb250cmFzdDEganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNENBRjUwIiBkPSJNMi4yIDIuMnYxNy42aDE3LjZWMi4ySDIuMnptMTUuNCA3LjdoLTUuNVY0LjRoNS41djUuNXpNOS45IDQuNHY1LjVINC40VjQuNGg1LjV6bS01LjUgNy43aDUuNXY1LjVINC40di01LjV6bTcuNyA1LjV2LTUuNWg1LjV2NS41aC01LjV6Ii8+Cjwvc3ZnPgo=);
+  --jp-icon-stop: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik02IDZoMTJ2MTJINnoiLz4KICAgIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-tab: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTIxIDNIM2MtMS4xIDAtMiAuOS0yIDJ2MTRjMCAxLjEuOSAyIDIgMmgxOGMxLjEgMCAyLS45IDItMlY1YzAtMS4xLS45LTItMi0yem0wIDE2SDNWNWgxMHY0aDh2MTB6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-table-rows: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik0yMSw4SDNWNGgxOFY4eiBNMjEsMTBIM3Y0aDE4VjEweiBNMjEsMTZIM3Y0aDE4VjE2eiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-tag: url(data:image/svg+xml;base64,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);
+  --jp-icon-terminal: url(data:image/svg+xml;base64,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);
+  --jp-icon-text-editor: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtdGV4dC1lZGl0b3ItaWNvbi1jb2xvciBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xNSAxNUgzdjJoMTJ2LTJ6bTAtOEgzdjJoMTJWN3pNMyAxM2gxOHYtMkgzdjJ6bTAgOGgxOHYtMkgzdjJ6TTMgM3YyaDE4VjNIM3oiLz4KPC9zdmc+Cg==);
+  --jp-icon-toc: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIyNCIgaGVpZ2h0PSIyNCIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIj4KICAgIDxwYXRoIGQ9Ik03LDVIMjFWN0g3VjVNNywxM1YxMUgyMVYxM0g3TTQsNC41QTEuNSwxLjUgMCAwLDEgNS41LDZBMS41LDEuNSAwIDAsMSA0LDcuNUExLjUsMS41IDAgMCwxIDIuNSw2QTEuNSwxLjUgMCAwLDEgNCw0LjVNNCwxMC41QTEuNSwxLjUgMCAwLDEgNS41LDEyQTEuNSwxLjUgMCAwLDEgNCwxMy41QTEuNSwxLjUgMCAwLDEgMi41LDEyQTEuNSwxLjUgMCAwLDEgNCwxMC41TTcsMTlWMTdIMjFWMTlIN000LDE2LjVBMS41LDEuNSAwIDAsMSA1LjUsMThBMS41LDEuNSAwIDAsMSA0LDE5LjVBMS41LDEuNSAwIDAsMSAyLjUsMThBMS41LDEuNSAwIDAsMSA0LDE2LjVaIiAvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-tree-view: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik0yMiAxMVYzaC03djNIOVYzSDJ2OGg3VjhoMnYxMGg0djNoN3YtOGgtN3YzaC0yVjhoMnYzeiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-trusted: url(data:image/svg+xml;base64,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);
+  --jp-icon-undo: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyLjUgOGMtMi42NSAwLTUuMDUuOTktNi45IDIuNkwyIDd2OWg5bC0zLjYyLTMuNjJjMS4zOS0xLjE2IDMuMTYtMS44OCA1LjEyLTEuODggMy41NCAwIDYuNTUgMi4zMSA3LjYgNS41bDIuMzctLjc4QzIxLjA4IDExLjAzIDE3LjE1IDggMTIuNSA4eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-user: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMTYiIHZpZXdCb3g9IjAgMCAyNCAyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE2IDdhNCA0IDAgMTEtOCAwIDQgNCAwIDAxOCAwek0xMiAxNGE3IDcgMCAwMC03IDdoMTRhNyA3IDAgMDAtNy03eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-users: url(data:image/svg+xml;base64,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);
+  --jp-icon-vega: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtaWNvbjEganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjMjEyMTIxIj4KICAgIDxwYXRoIGQ9Ik0xMC42IDUuNGwyLjItMy4ySDIuMnY3LjNsNC02LjZ6Ii8+CiAgICA8cGF0aCBkPSJNMTUuOCAyLjJsLTQuNCA2LjZMNyA2LjNsLTQuOCA4djUuNWgxNy42VjIuMmgtNHptLTcgMTUuNEg1LjV2LTQuNGgzLjN2NC40em00LjQgMEg5LjhWOS44aDMuNHY3Ljh6bTQuNCAwaC0zLjRWNi41aDMuNHYxMS4xeiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-word: url(data:image/svg+xml;base64,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);
+  --jp-icon-yaml: url(data:image/svg+xml;base64,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);
+}
+
+/* Icon CSS class declarations */
+
+.jp-AddAboveIcon {
+  background-image: var(--jp-icon-add-above);
+}
+
+.jp-AddBelowIcon {
+  background-image: var(--jp-icon-add-below);
+}
+
+.jp-AddIcon {
+  background-image: var(--jp-icon-add);
+}
+
+.jp-BellIcon {
+  background-image: var(--jp-icon-bell);
+}
+
+.jp-BugDotIcon {
+  background-image: var(--jp-icon-bug-dot);
+}
+
+.jp-BugIcon {
+  background-image: var(--jp-icon-bug);
+}
+
+.jp-BuildIcon {
+  background-image: var(--jp-icon-build);
+}
+
+.jp-CaretDownEmptyIcon {
+  background-image: var(--jp-icon-caret-down-empty);
+}
+
+.jp-CaretDownEmptyThinIcon {
+  background-image: var(--jp-icon-caret-down-empty-thin);
+}
+
+.jp-CaretDownIcon {
+  background-image: var(--jp-icon-caret-down);
+}
+
+.jp-CaretLeftIcon {
+  background-image: var(--jp-icon-caret-left);
+}
+
+.jp-CaretRightIcon {
+  background-image: var(--jp-icon-caret-right);
+}
+
+.jp-CaretUpEmptyThinIcon {
+  background-image: var(--jp-icon-caret-up-empty-thin);
+}
+
+.jp-CaretUpIcon {
+  background-image: var(--jp-icon-caret-up);
+}
+
+.jp-CaseSensitiveIcon {
+  background-image: var(--jp-icon-case-sensitive);
+}
+
+.jp-CheckIcon {
+  background-image: var(--jp-icon-check);
+}
+
+.jp-CircleEmptyIcon {
+  background-image: var(--jp-icon-circle-empty);
+}
+
+.jp-CircleIcon {
+  background-image: var(--jp-icon-circle);
+}
+
+.jp-ClearIcon {
+  background-image: var(--jp-icon-clear);
+}
+
+.jp-CloseIcon {
+  background-image: var(--jp-icon-close);
+}
+
+.jp-CodeCheckIcon {
+  background-image: var(--jp-icon-code-check);
+}
+
+.jp-CodeIcon {
+  background-image: var(--jp-icon-code);
+}
+
+.jp-CollapseAllIcon {
+  background-image: var(--jp-icon-collapse-all);
+}
+
+.jp-ConsoleIcon {
+  background-image: var(--jp-icon-console);
+}
+
+.jp-CopyIcon {
+  background-image: var(--jp-icon-copy);
+}
+
+.jp-CopyrightIcon {
+  background-image: var(--jp-icon-copyright);
+}
+
+.jp-CutIcon {
+  background-image: var(--jp-icon-cut);
+}
+
+.jp-DeleteIcon {
+  background-image: var(--jp-icon-delete);
+}
+
+.jp-DownloadIcon {
+  background-image: var(--jp-icon-download);
+}
+
+.jp-DuplicateIcon {
+  background-image: var(--jp-icon-duplicate);
+}
+
+.jp-EditIcon {
+  background-image: var(--jp-icon-edit);
+}
+
+.jp-EllipsesIcon {
+  background-image: var(--jp-icon-ellipses);
+}
+
+.jp-ErrorIcon {
+  background-image: var(--jp-icon-error);
+}
+
+.jp-ExpandAllIcon {
+  background-image: var(--jp-icon-expand-all);
+}
+
+.jp-ExtensionIcon {
+  background-image: var(--jp-icon-extension);
+}
+
+.jp-FastForwardIcon {
+  background-image: var(--jp-icon-fast-forward);
+}
+
+.jp-FileIcon {
+  background-image: var(--jp-icon-file);
+}
+
+.jp-FileUploadIcon {
+  background-image: var(--jp-icon-file-upload);
+}
+
+.jp-FilterDotIcon {
+  background-image: var(--jp-icon-filter-dot);
+}
+
+.jp-FilterIcon {
+  background-image: var(--jp-icon-filter);
+}
+
+.jp-FilterListIcon {
+  background-image: var(--jp-icon-filter-list);
+}
+
+.jp-FolderFavoriteIcon {
+  background-image: var(--jp-icon-folder-favorite);
+}
+
+.jp-FolderIcon {
+  background-image: var(--jp-icon-folder);
+}
+
+.jp-HomeIcon {
+  background-image: var(--jp-icon-home);
+}
+
+.jp-Html5Icon {
+  background-image: var(--jp-icon-html5);
+}
+
+.jp-ImageIcon {
+  background-image: var(--jp-icon-image);
+}
+
+.jp-InfoIcon {
+  background-image: var(--jp-icon-info);
+}
+
+.jp-InspectorIcon {
+  background-image: var(--jp-icon-inspector);
+}
+
+.jp-JsonIcon {
+  background-image: var(--jp-icon-json);
+}
+
+.jp-JuliaIcon {
+  background-image: var(--jp-icon-julia);
+}
+
+.jp-JupyterFaviconIcon {
+  background-image: var(--jp-icon-jupyter-favicon);
+}
+
+.jp-JupyterIcon {
+  background-image: var(--jp-icon-jupyter);
+}
+
+.jp-JupyterlabWordmarkIcon {
+  background-image: var(--jp-icon-jupyterlab-wordmark);
+}
+
+.jp-KernelIcon {
+  background-image: var(--jp-icon-kernel);
+}
+
+.jp-KeyboardIcon {
+  background-image: var(--jp-icon-keyboard);
+}
+
+.jp-LaunchIcon {
+  background-image: var(--jp-icon-launch);
+}
+
+.jp-LauncherIcon {
+  background-image: var(--jp-icon-launcher);
+}
+
+.jp-LineFormIcon {
+  background-image: var(--jp-icon-line-form);
+}
+
+.jp-LinkIcon {
+  background-image: var(--jp-icon-link);
+}
+
+.jp-ListIcon {
+  background-image: var(--jp-icon-list);
+}
+
+.jp-MarkdownIcon {
+  background-image: var(--jp-icon-markdown);
+}
+
+.jp-MoveDownIcon {
+  background-image: var(--jp-icon-move-down);
+}
+
+.jp-MoveUpIcon {
+  background-image: var(--jp-icon-move-up);
+}
+
+.jp-NewFolderIcon {
+  background-image: var(--jp-icon-new-folder);
+}
+
+.jp-NotTrustedIcon {
+  background-image: var(--jp-icon-not-trusted);
+}
+
+.jp-NotebookIcon {
+  background-image: var(--jp-icon-notebook);
+}
+
+.jp-NumberingIcon {
+  background-image: var(--jp-icon-numbering);
+}
+
+.jp-OfflineBoltIcon {
+  background-image: var(--jp-icon-offline-bolt);
+}
+
+.jp-PaletteIcon {
+  background-image: var(--jp-icon-palette);
+}
+
+.jp-PasteIcon {
+  background-image: var(--jp-icon-paste);
+}
+
+.jp-PdfIcon {
+  background-image: var(--jp-icon-pdf);
+}
+
+.jp-PythonIcon {
+  background-image: var(--jp-icon-python);
+}
+
+.jp-RKernelIcon {
+  background-image: var(--jp-icon-r-kernel);
+}
+
+.jp-ReactIcon {
+  background-image: var(--jp-icon-react);
+}
+
+.jp-RedoIcon {
+  background-image: var(--jp-icon-redo);
+}
+
+.jp-RefreshIcon {
+  background-image: var(--jp-icon-refresh);
+}
+
+.jp-RegexIcon {
+  background-image: var(--jp-icon-regex);
+}
+
+.jp-RunIcon {
+  background-image: var(--jp-icon-run);
+}
+
+.jp-RunningIcon {
+  background-image: var(--jp-icon-running);
+}
+
+.jp-SaveIcon {
+  background-image: var(--jp-icon-save);
+}
+
+.jp-SearchIcon {
+  background-image: var(--jp-icon-search);
+}
+
+.jp-SettingsIcon {
+  background-image: var(--jp-icon-settings);
+}
+
+.jp-ShareIcon {
+  background-image: var(--jp-icon-share);
+}
+
+.jp-SpreadsheetIcon {
+  background-image: var(--jp-icon-spreadsheet);
+}
+
+.jp-StopIcon {
+  background-image: var(--jp-icon-stop);
+}
+
+.jp-TabIcon {
+  background-image: var(--jp-icon-tab);
+}
+
+.jp-TableRowsIcon {
+  background-image: var(--jp-icon-table-rows);
+}
+
+.jp-TagIcon {
+  background-image: var(--jp-icon-tag);
+}
+
+.jp-TerminalIcon {
+  background-image: var(--jp-icon-terminal);
+}
+
+.jp-TextEditorIcon {
+  background-image: var(--jp-icon-text-editor);
+}
+
+.jp-TocIcon {
+  background-image: var(--jp-icon-toc);
+}
+
+.jp-TreeViewIcon {
+  background-image: var(--jp-icon-tree-view);
+}
+
+.jp-TrustedIcon {
+  background-image: var(--jp-icon-trusted);
+}
+
+.jp-UndoIcon {
+  background-image: var(--jp-icon-undo);
+}
+
+.jp-UserIcon {
+  background-image: var(--jp-icon-user);
+}
+
+.jp-UsersIcon {
+  background-image: var(--jp-icon-users);
+}
+
+.jp-VegaIcon {
+  background-image: var(--jp-icon-vega);
+}
+
+.jp-WordIcon {
+  background-image: var(--jp-icon-word);
+}
+
+.jp-YamlIcon {
+  background-image: var(--jp-icon-yaml);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/**
+ * (DEPRECATED) Support for consuming icons as CSS background images
+ */
+
+.jp-Icon,
+.jp-MaterialIcon {
+  background-position: center;
+  background-repeat: no-repeat;
+  background-size: 16px;
+  min-width: 16px;
+  min-height: 16px;
+}
+
+.jp-Icon-cover {
+  background-position: center;
+  background-repeat: no-repeat;
+  background-size: cover;
+}
+
+/**
+ * (DEPRECATED) Support for specific CSS icon sizes
+ */
+
+.jp-Icon-16 {
+  background-size: 16px;
+  min-width: 16px;
+  min-height: 16px;
+}
+
+.jp-Icon-18 {
+  background-size: 18px;
+  min-width: 18px;
+  min-height: 18px;
+}
+
+.jp-Icon-20 {
+  background-size: 20px;
+  min-width: 20px;
+  min-height: 20px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.lm-TabBar .lm-TabBar-addButton {
+  align-items: center;
+  display: flex;
+  padding: 4px;
+  padding-bottom: 5px;
+  margin-right: 1px;
+  background-color: var(--jp-layout-color2);
+}
+
+.lm-TabBar .lm-TabBar-addButton:hover {
+  background-color: var(--jp-layout-color1);
+}
+
+.lm-DockPanel-tabBar .lm-TabBar-tab {
+  width: var(--jp-private-horizontal-tab-width);
+}
+
+.lm-DockPanel-tabBar .lm-TabBar-content {
+  flex: unset;
+}
+
+.lm-DockPanel-tabBar[data-orientation='horizontal'] {
+  flex: 1 1 auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/**
+ * Support for icons as inline SVG HTMLElements
+ */
+
+/* recolor the primary elements of an icon */
+.jp-icon0[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon1[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon2[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon3[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon4[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon0[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon1[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon2[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon3[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon4[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/* recolor the accent elements of an icon */
+.jp-icon-accent0[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.jp-icon-accent1[fill] {
+  fill: var(--jp-layout-color1);
+}
+
+.jp-icon-accent2[fill] {
+  fill: var(--jp-layout-color2);
+}
+
+.jp-icon-accent3[fill] {
+  fill: var(--jp-layout-color3);
+}
+
+.jp-icon-accent4[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-accent0[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-accent1[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-accent2[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-accent3[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-accent4[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* set the color of an icon to transparent */
+.jp-icon-none[fill] {
+  fill: none;
+}
+
+.jp-icon-none[stroke] {
+  stroke: none;
+}
+
+/* brand icon colors. Same for light and dark */
+.jp-icon-brand0[fill] {
+  fill: var(--jp-brand-color0);
+}
+
+.jp-icon-brand1[fill] {
+  fill: var(--jp-brand-color1);
+}
+
+.jp-icon-brand2[fill] {
+  fill: var(--jp-brand-color2);
+}
+
+.jp-icon-brand3[fill] {
+  fill: var(--jp-brand-color3);
+}
+
+.jp-icon-brand4[fill] {
+  fill: var(--jp-brand-color4);
+}
+
+.jp-icon-brand0[stroke] {
+  stroke: var(--jp-brand-color0);
+}
+
+.jp-icon-brand1[stroke] {
+  stroke: var(--jp-brand-color1);
+}
+
+.jp-icon-brand2[stroke] {
+  stroke: var(--jp-brand-color2);
+}
+
+.jp-icon-brand3[stroke] {
+  stroke: var(--jp-brand-color3);
+}
+
+.jp-icon-brand4[stroke] {
+  stroke: var(--jp-brand-color4);
+}
+
+/* warn icon colors. Same for light and dark */
+.jp-icon-warn0[fill] {
+  fill: var(--jp-warn-color0);
+}
+
+.jp-icon-warn1[fill] {
+  fill: var(--jp-warn-color1);
+}
+
+.jp-icon-warn2[fill] {
+  fill: var(--jp-warn-color2);
+}
+
+.jp-icon-warn3[fill] {
+  fill: var(--jp-warn-color3);
+}
+
+.jp-icon-warn0[stroke] {
+  stroke: var(--jp-warn-color0);
+}
+
+.jp-icon-warn1[stroke] {
+  stroke: var(--jp-warn-color1);
+}
+
+.jp-icon-warn2[stroke] {
+  stroke: var(--jp-warn-color2);
+}
+
+.jp-icon-warn3[stroke] {
+  stroke: var(--jp-warn-color3);
+}
+
+/* icon colors that contrast well with each other and most backgrounds */
+.jp-icon-contrast0[fill] {
+  fill: var(--jp-icon-contrast-color0);
+}
+
+.jp-icon-contrast1[fill] {
+  fill: var(--jp-icon-contrast-color1);
+}
+
+.jp-icon-contrast2[fill] {
+  fill: var(--jp-icon-contrast-color2);
+}
+
+.jp-icon-contrast3[fill] {
+  fill: var(--jp-icon-contrast-color3);
+}
+
+.jp-icon-contrast0[stroke] {
+  stroke: var(--jp-icon-contrast-color0);
+}
+
+.jp-icon-contrast1[stroke] {
+  stroke: var(--jp-icon-contrast-color1);
+}
+
+.jp-icon-contrast2[stroke] {
+  stroke: var(--jp-icon-contrast-color2);
+}
+
+.jp-icon-contrast3[stroke] {
+  stroke: var(--jp-icon-contrast-color3);
+}
+
+.jp-icon-dot[fill] {
+  fill: var(--jp-warn-color0);
+}
+
+.jp-jupyter-icon-color[fill] {
+  fill: var(--jp-jupyter-icon-color, var(--jp-warn-color0));
+}
+
+.jp-notebook-icon-color[fill] {
+  fill: var(--jp-notebook-icon-color, var(--jp-warn-color0));
+}
+
+.jp-json-icon-color[fill] {
+  fill: var(--jp-json-icon-color, var(--jp-warn-color1));
+}
+
+.jp-console-icon-color[fill] {
+  fill: var(--jp-console-icon-color, white);
+}
+
+.jp-console-icon-background-color[fill] {
+  fill: var(--jp-console-icon-background-color, var(--jp-brand-color1));
+}
+
+.jp-terminal-icon-color[fill] {
+  fill: var(--jp-terminal-icon-color, var(--jp-layout-color2));
+}
+
+.jp-terminal-icon-background-color[fill] {
+  fill: var(
+    --jp-terminal-icon-background-color,
+    var(--jp-inverse-layout-color2)
+  );
+}
+
+.jp-text-editor-icon-color[fill] {
+  fill: var(--jp-text-editor-icon-color, var(--jp-inverse-layout-color3));
+}
+
+.jp-inspector-icon-color[fill] {
+  fill: var(--jp-inspector-icon-color, var(--jp-inverse-layout-color3));
+}
+
+/* CSS for icons in selected filebrowser listing items */
+.jp-DirListing-item.jp-mod-selected .jp-icon-selectable[fill] {
+  fill: #fff;
+}
+
+.jp-DirListing-item.jp-mod-selected .jp-icon-selectable-inverse[fill] {
+  fill: var(--jp-brand-color1);
+}
+
+/* stylelint-disable selector-max-class, selector-max-compound-selectors */
+
+/**
+* TODO: come up with non css-hack solution for showing the busy icon on top
+*  of the close icon
+* CSS for complex behavior of close icon of tabs in the main area tabbar
+*/
+.lm-DockPanel-tabBar
+  .lm-TabBar-tab.lm-mod-closable.jp-mod-dirty
+  > .lm-TabBar-tabCloseIcon
+  > :not(:hover)
+  > .jp-icon3[fill] {
+  fill: none;
+}
+
+.lm-DockPanel-tabBar
+  .lm-TabBar-tab.lm-mod-closable.jp-mod-dirty
+  > .lm-TabBar-tabCloseIcon
+  > :not(:hover)
+  > .jp-icon-busy[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+/* stylelint-enable selector-max-class, selector-max-compound-selectors */
+
+/* CSS for icons in status bar */
+#jp-main-statusbar .jp-mod-selected .jp-icon-selectable[fill] {
+  fill: #fff;
+}
+
+#jp-main-statusbar .jp-mod-selected .jp-icon-selectable-inverse[fill] {
+  fill: var(--jp-brand-color1);
+}
+
+/* special handling for splash icon CSS. While the theme CSS reloads during
+   splash, the splash icon can loose theming. To prevent that, we set a
+   default for its color variable */
+:root {
+  --jp-warn-color0: var(--md-orange-700);
+}
+
+/* not sure what to do with this one, used in filebrowser listing */
+.jp-DragIcon {
+  margin-right: 4px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/**
+ * Support for alt colors for icons as inline SVG HTMLElements
+ */
+
+/* alt recolor the primary elements of an icon */
+.jp-icon-alt .jp-icon0[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.jp-icon-alt .jp-icon1[fill] {
+  fill: var(--jp-layout-color1);
+}
+
+.jp-icon-alt .jp-icon2[fill] {
+  fill: var(--jp-layout-color2);
+}
+
+.jp-icon-alt .jp-icon3[fill] {
+  fill: var(--jp-layout-color3);
+}
+
+.jp-icon-alt .jp-icon4[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-alt .jp-icon0[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-alt .jp-icon1[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-alt .jp-icon2[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-alt .jp-icon3[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-alt .jp-icon4[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* alt recolor the accent elements of an icon */
+.jp-icon-alt .jp-icon-accent0[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-alt .jp-icon-accent1[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-alt .jp-icon-accent2[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-alt .jp-icon-accent3[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-alt .jp-icon-accent4[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon-alt .jp-icon-accent0[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-alt .jp-icon-accent1[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-alt .jp-icon-accent2[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-alt .jp-icon-accent3[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-alt .jp-icon-accent4[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-icon-hoverShow:not(:hover) .jp-icon-hoverShow-content {
+  display: none !important;
+}
+
+/**
+ * Support for hover colors for icons as inline SVG HTMLElements
+ */
+
+/**
+ * regular colors
+ */
+
+/* recolor the primary elements of an icon */
+.jp-icon-hover :hover .jp-icon0-hover[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon1-hover[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon2-hover[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon3-hover[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon4-hover[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon-hover :hover .jp-icon0-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon1-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon2-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon3-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon4-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/* recolor the accent elements of an icon */
+.jp-icon-hover :hover .jp-icon-accent0-hover[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon-accent1-hover[fill] {
+  fill: var(--jp-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon-accent2-hover[fill] {
+  fill: var(--jp-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon-accent3-hover[fill] {
+  fill: var(--jp-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon-accent4-hover[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-hover :hover .jp-icon-accent0-hover[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon-accent1-hover[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon-accent2-hover[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon-accent3-hover[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon-accent4-hover[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* set the color of an icon to transparent */
+.jp-icon-hover :hover .jp-icon-none-hover[fill] {
+  fill: none;
+}
+
+.jp-icon-hover :hover .jp-icon-none-hover[stroke] {
+  stroke: none;
+}
+
+/**
+ * inverse colors
+ */
+
+/* inverse recolor the primary elements of an icon */
+.jp-icon-hover.jp-icon-alt :hover .jp-icon0-hover[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon1-hover[fill] {
+  fill: var(--jp-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon2-hover[fill] {
+  fill: var(--jp-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon3-hover[fill] {
+  fill: var(--jp-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon4-hover[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon0-hover[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon1-hover[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon2-hover[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon3-hover[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon4-hover[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* inverse recolor the accent elements of an icon */
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent0-hover[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent1-hover[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent2-hover[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent3-hover[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent4-hover[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent0-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent1-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent2-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent3-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent4-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-IFrame {
+  width: 100%;
+  height: 100%;
+}
+
+.jp-IFrame > iframe {
+  border: none;
+}
+
+/*
+When drag events occur, `lm-mod-override-cursor` is added to the body.
+Because iframes steal all cursor events, the following two rules are necessary
+to suppress pointer events while resize drags are occurring. There may be a
+better solution to this problem.
+*/
+body.lm-mod-override-cursor .jp-IFrame {
+  position: relative;
+}
+
+body.lm-mod-override-cursor .jp-IFrame::before {
+  content: '';
+  position: absolute;
+  top: 0;
+  left: 0;
+  right: 0;
+  bottom: 0;
+  background: transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-HoverBox {
+  position: fixed;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-FormGroup-content fieldset {
+  border: none;
+  padding: 0;
+  min-width: 0;
+  width: 100%;
+}
+
+/* stylelint-disable selector-max-type */
+
+.jp-FormGroup-content fieldset .jp-inputFieldWrapper input,
+.jp-FormGroup-content fieldset .jp-inputFieldWrapper select,
+.jp-FormGroup-content fieldset .jp-inputFieldWrapper textarea {
+  font-size: var(--jp-content-font-size2);
+  border-color: var(--jp-input-border-color);
+  border-style: solid;
+  border-radius: var(--jp-border-radius);
+  border-width: 1px;
+  padding: 6px 8px;
+  background: none;
+  color: var(--jp-ui-font-color0);
+  height: inherit;
+}
+
+.jp-FormGroup-content fieldset input[type='checkbox'] {
+  position: relative;
+  top: 2px;
+  margin-left: 0;
+}
+
+.jp-FormGroup-content button.jp-mod-styled {
+  cursor: pointer;
+}
+
+.jp-FormGroup-content .checkbox label {
+  cursor: pointer;
+  font-size: var(--jp-content-font-size1);
+}
+
+.jp-FormGroup-content .jp-root > fieldset > legend {
+  display: none;
+}
+
+.jp-FormGroup-content .jp-root > fieldset > p {
+  display: none;
+}
+
+/** copy of `input.jp-mod-styled:focus` style */
+.jp-FormGroup-content fieldset input:focus,
+.jp-FormGroup-content fieldset select:focus {
+  -moz-outline-radius: unset;
+  outline: var(--jp-border-width) solid var(--md-blue-500);
+  outline-offset: -1px;
+  box-shadow: inset 0 0 4px var(--md-blue-300);
+}
+
+.jp-FormGroup-content fieldset input:hover:not(:focus),
+.jp-FormGroup-content fieldset select:hover:not(:focus) {
+  background-color: var(--jp-border-color2);
+}
+
+/* stylelint-enable selector-max-type */
+
+.jp-FormGroup-content .checkbox .field-description {
+  /* Disable default description field for checkbox:
+   because other widgets do not have description fields,
+   we add descriptions to each widget on the field level.
+  */
+  display: none;
+}
+
+.jp-FormGroup-content #root__description {
+  display: none;
+}
+
+.jp-FormGroup-content .jp-modifiedIndicator {
+  width: 5px;
+  background-color: var(--jp-brand-color2);
+  margin-top: 0;
+  margin-left: calc(var(--jp-private-settingeditor-modifier-indent) * -1);
+  flex-shrink: 0;
+}
+
+.jp-FormGroup-content .jp-modifiedIndicator.jp-errorIndicator {
+  background-color: var(--jp-error-color0);
+  margin-right: 0.5em;
+}
+
+/* RJSF ARRAY style */
+
+.jp-arrayFieldWrapper legend {
+  font-size: var(--jp-content-font-size2);
+  color: var(--jp-ui-font-color0);
+  flex-basis: 100%;
+  padding: 4px 0;
+  font-weight: var(--jp-content-heading-font-weight);
+  border-bottom: 1px solid var(--jp-border-color2);
+}
+
+.jp-arrayFieldWrapper .field-description {
+  padding: 4px 0;
+  white-space: pre-wrap;
+}
+
+.jp-arrayFieldWrapper .array-item {
+  width: 100%;
+  border: 1px solid var(--jp-border-color2);
+  border-radius: 4px;
+  margin: 4px;
+}
+
+.jp-ArrayOperations {
+  display: flex;
+  margin-left: 8px;
+}
+
+.jp-ArrayOperationsButton {
+  margin: 2px;
+}
+
+.jp-ArrayOperationsButton .jp-icon3[fill] {
+  fill: var(--jp-ui-font-color0);
+}
+
+button.jp-ArrayOperationsButton.jp-mod-styled:disabled {
+  cursor: not-allowed;
+  opacity: 0.5;
+}
+
+/* RJSF form validation error */
+
+.jp-FormGroup-content .validationErrors {
+  color: var(--jp-error-color0);
+}
+
+/* Hide panel level error as duplicated the field level error */
+.jp-FormGroup-content .panel.errors {
+  display: none;
+}
+
+/* RJSF normal content (settings-editor) */
+
+.jp-FormGroup-contentNormal {
+  display: flex;
+  align-items: center;
+  flex-wrap: wrap;
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-contentItem {
+  margin-left: 7px;
+  color: var(--jp-ui-font-color0);
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-description {
+  flex-basis: 100%;
+  padding: 4px 7px;
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-default {
+  flex-basis: 100%;
+  padding: 4px 7px;
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-fieldLabel {
+  font-size: var(--jp-content-font-size1);
+  font-weight: normal;
+  min-width: 120px;
+}
+
+.jp-FormGroup-contentNormal fieldset:not(:first-child) {
+  margin-left: 7px;
+}
+
+.jp-FormGroup-contentNormal .field-array-of-string .array-item {
+  /* Display `jp-ArrayOperations` buttons side-by-side with content except
+    for small screens where flex-wrap will place them one below the other.
+  */
+  display: flex;
+  align-items: center;
+  flex-wrap: wrap;
+}
+
+.jp-FormGroup-contentNormal .jp-objectFieldWrapper .form-group {
+  padding: 2px 8px 2px var(--jp-private-settingeditor-modifier-indent);
+  margin-top: 2px;
+}
+
+/* RJSF compact content (metadata-form) */
+
+.jp-FormGroup-content.jp-FormGroup-contentCompact {
+  width: 100%;
+}
+
+.jp-FormGroup-contentCompact .form-group {
+  display: flex;
+  padding: 0.5em 0.2em 0.5em 0;
+}
+
+.jp-FormGroup-contentCompact
+  .jp-FormGroup-compactTitle
+  .jp-FormGroup-description {
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-FormGroup-contentCompact .jp-FormGroup-fieldLabel {
+  padding-bottom: 0.3em;
+}
+
+.jp-FormGroup-contentCompact .jp-inputFieldWrapper .form-control {
+  width: 100%;
+  box-sizing: border-box;
+}
+
+.jp-FormGroup-contentCompact .jp-arrayFieldWrapper .jp-FormGroup-compactTitle {
+  padding-bottom: 7px;
+}
+
+.jp-FormGroup-contentCompact
+  .jp-objectFieldWrapper
+  .jp-objectFieldWrapper
+  .form-group {
+  padding: 2px 8px 2px var(--jp-private-settingeditor-modifier-indent);
+  margin-top: 2px;
+}
+
+.jp-FormGroup-contentCompact ul.error-detail {
+  margin-block-start: 0.5em;
+  margin-block-end: 0.5em;
+  padding-inline-start: 1em;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-SidePanel {
+  display: flex;
+  flex-direction: column;
+  min-width: var(--jp-sidebar-min-width);
+  overflow-y: auto;
+  color: var(--jp-ui-font-color1);
+  background: var(--jp-layout-color1);
+  font-size: var(--jp-ui-font-size1);
+}
+
+.jp-SidePanel-header {
+  flex: 0 0 auto;
+  display: flex;
+  border-bottom: var(--jp-border-width) solid var(--jp-border-color2);
+  font-size: var(--jp-ui-font-size0);
+  font-weight: 600;
+  letter-spacing: 1px;
+  margin: 0;
+  padding: 2px;
+  text-transform: uppercase;
+}
+
+.jp-SidePanel-toolbar {
+  flex: 0 0 auto;
+}
+
+.jp-SidePanel-content {
+  flex: 1 1 auto;
+}
+
+.jp-SidePanel-toolbar,
+.jp-AccordionPanel-toolbar {
+  height: var(--jp-private-toolbar-height);
+}
+
+.jp-SidePanel-toolbar.jp-Toolbar-micro {
+  display: none;
+}
+
+.lm-AccordionPanel .jp-AccordionPanel-title {
+  box-sizing: border-box;
+  line-height: 25px;
+  margin: 0;
+  display: flex;
+  align-items: center;
+  background: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  font-size: var(--jp-ui-font-size0);
+}
+
+.jp-AccordionPanel-title {
+  cursor: pointer;
+  user-select: none;
+  -moz-user-select: none;
+  -webkit-user-select: none;
+  text-transform: uppercase;
+}
+
+.lm-AccordionPanel[data-orientation='horizontal'] > .jp-AccordionPanel-title {
+  /* Title is rotated for horizontal accordion panel using CSS */
+  display: block;
+  transform-origin: top left;
+  transform: rotate(-90deg) translate(-100%);
+}
+
+.jp-AccordionPanel-title .lm-AccordionPanel-titleLabel {
+  user-select: none;
+  text-overflow: ellipsis;
+  white-space: nowrap;
+  overflow: hidden;
+}
+
+.jp-AccordionPanel-title .lm-AccordionPanel-titleCollapser {
+  transform: rotate(-90deg);
+  margin: auto 0;
+  height: 16px;
+}
+
+.jp-AccordionPanel-title.lm-mod-expanded .lm-AccordionPanel-titleCollapser {
+  transform: rotate(0deg);
+}
+
+.lm-AccordionPanel .jp-AccordionPanel-toolbar {
+  background: none;
+  box-shadow: none;
+  border: none;
+  margin-left: auto;
+}
+
+.lm-AccordionPanel .lm-SplitPanel-handle:hover {
+  background: var(--jp-layout-color3);
+}
+
+.jp-text-truncated {
+  overflow: hidden;
+  text-overflow: ellipsis;
+  white-space: nowrap;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Spinner {
+  position: absolute;
+  display: flex;
+  justify-content: center;
+  align-items: center;
+  z-index: 10;
+  left: 0;
+  top: 0;
+  width: 100%;
+  height: 100%;
+  background: var(--jp-layout-color0);
+  outline: none;
+}
+
+.jp-SpinnerContent {
+  font-size: 10px;
+  margin: 50px auto;
+  text-indent: -9999em;
+  width: 3em;
+  height: 3em;
+  border-radius: 50%;
+  background: var(--jp-brand-color3);
+  background: linear-gradient(
+    to right,
+    #f37626 10%,
+    rgba(255, 255, 255, 0) 42%
+  );
+  position: relative;
+  animation: load3 1s infinite linear, fadeIn 1s;
+}
+
+.jp-SpinnerContent::before {
+  width: 50%;
+  height: 50%;
+  background: #f37626;
+  border-radius: 100% 0 0;
+  position: absolute;
+  top: 0;
+  left: 0;
+  content: '';
+}
+
+.jp-SpinnerContent::after {
+  background: var(--jp-layout-color0);
+  width: 75%;
+  height: 75%;
+  border-radius: 50%;
+  content: '';
+  margin: auto;
+  position: absolute;
+  top: 0;
+  left: 0;
+  bottom: 0;
+  right: 0;
+}
+
+@keyframes fadeIn {
+  0% {
+    opacity: 0;
+  }
+
+  100% {
+    opacity: 1;
+  }
+}
+
+@keyframes load3 {
+  0% {
+    transform: rotate(0deg);
+  }
+
+  100% {
+    transform: rotate(360deg);
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+button.jp-mod-styled {
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color0);
+  border: none;
+  box-sizing: border-box;
+  text-align: center;
+  line-height: 32px;
+  height: 32px;
+  padding: 0 12px;
+  letter-spacing: 0.8px;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+}
+
+input.jp-mod-styled {
+  background: var(--jp-input-background);
+  height: 28px;
+  box-sizing: border-box;
+  border: var(--jp-border-width) solid var(--jp-border-color1);
+  padding-left: 7px;
+  padding-right: 7px;
+  font-size: var(--jp-ui-font-size2);
+  color: var(--jp-ui-font-color0);
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+}
+
+input[type='checkbox'].jp-mod-styled {
+  appearance: checkbox;
+  -webkit-appearance: checkbox;
+  -moz-appearance: checkbox;
+  height: auto;
+}
+
+input.jp-mod-styled:focus {
+  border: var(--jp-border-width) solid var(--md-blue-500);
+  box-shadow: inset 0 0 4px var(--md-blue-300);
+}
+
+.jp-select-wrapper {
+  display: flex;
+  position: relative;
+  flex-direction: column;
+  padding: 1px;
+  background-color: var(--jp-layout-color1);
+  box-sizing: border-box;
+  margin-bottom: 12px;
+}
+
+.jp-select-wrapper:not(.multiple) {
+  height: 28px;
+}
+
+.jp-select-wrapper.jp-mod-focused select.jp-mod-styled {
+  border: var(--jp-border-width) solid var(--jp-input-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+  background-color: var(--jp-input-active-background);
+}
+
+select.jp-mod-styled:hover {
+  cursor: pointer;
+  color: var(--jp-ui-font-color0);
+  background-color: var(--jp-input-hover-background);
+  box-shadow: inset 0 0 1px rgba(0, 0, 0, 0.5);
+}
+
+select.jp-mod-styled {
+  flex: 1 1 auto;
+  width: 100%;
+  font-size: var(--jp-ui-font-size2);
+  background: var(--jp-input-background);
+  color: var(--jp-ui-font-color0);
+  padding: 0 25px 0 8px;
+  border: var(--jp-border-width) solid var(--jp-input-border-color);
+  border-radius: 0;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+}
+
+select.jp-mod-styled:not([multiple]) {
+  height: 32px;
+}
+
+select.jp-mod-styled[multiple] {
+  max-height: 200px;
+  overflow-y: auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-switch {
+  display: flex;
+  align-items: center;
+  padding-left: 4px;
+  padding-right: 4px;
+  font-size: var(--jp-ui-font-size1);
+  background-color: transparent;
+  color: var(--jp-ui-font-color1);
+  border: none;
+  height: 20px;
+}
+
+.jp-switch:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-switch-label {
+  margin-right: 5px;
+  font-family: var(--jp-ui-font-family);
+}
+
+.jp-switch-track {
+  cursor: pointer;
+  background-color: var(--jp-switch-color, var(--jp-border-color1));
+  -webkit-transition: 0.4s;
+  transition: 0.4s;
+  border-radius: 34px;
+  height: 16px;
+  width: 35px;
+  position: relative;
+}
+
+.jp-switch-track::before {
+  content: '';
+  position: absolute;
+  height: 10px;
+  width: 10px;
+  margin: 3px;
+  left: 0;
+  background-color: var(--jp-ui-inverse-font-color1);
+  -webkit-transition: 0.4s;
+  transition: 0.4s;
+  border-radius: 50%;
+}
+
+.jp-switch[aria-checked='true'] .jp-switch-track {
+  background-color: var(--jp-switch-true-position-color, var(--jp-warn-color0));
+}
+
+.jp-switch[aria-checked='true'] .jp-switch-track::before {
+  /* track width (35) - margins (3 + 3) - thumb width (10) */
+  left: 19px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-toolbar-height: calc(
+    28px + var(--jp-border-width)
+  ); /* leave 28px for content */
+}
+
+.jp-Toolbar {
+  color: var(--jp-ui-font-color1);
+  flex: 0 0 auto;
+  display: flex;
+  flex-direction: row;
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  background: var(--jp-toolbar-background);
+  min-height: var(--jp-toolbar-micro-height);
+  padding: 2px;
+  z-index: 8;
+  overflow-x: hidden;
+}
+
+/* Toolbar items */
+
+.jp-Toolbar > .jp-Toolbar-item.jp-Toolbar-spacer {
+  flex-grow: 1;
+  flex-shrink: 1;
+}
+
+.jp-Toolbar-item.jp-Toolbar-kernelStatus {
+  display: inline-block;
+  width: 32px;
+  background-repeat: no-repeat;
+  background-position: center;
+  background-size: 16px;
+}
+
+.jp-Toolbar > .jp-Toolbar-item {
+  flex: 0 0 auto;
+  display: flex;
+  padding-left: 1px;
+  padding-right: 1px;
+  font-size: var(--jp-ui-font-size1);
+  line-height: var(--jp-private-toolbar-height);
+  height: 100%;
+}
+
+/* Toolbar buttons */
+
+/* This is the div we use to wrap the react component into a Widget */
+div.jp-ToolbarButton {
+  color: transparent;
+  border: none;
+  box-sizing: border-box;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+  padding: 0;
+  margin: 0;
+}
+
+button.jp-ToolbarButtonComponent {
+  background: var(--jp-layout-color1);
+  border: none;
+  box-sizing: border-box;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+  padding: 0 6px;
+  margin: 0;
+  height: 24px;
+  border-radius: var(--jp-border-radius);
+  display: flex;
+  align-items: center;
+  text-align: center;
+  font-size: 14px;
+  min-width: unset;
+  min-height: unset;
+}
+
+button.jp-ToolbarButtonComponent:disabled {
+  opacity: 0.4;
+}
+
+button.jp-ToolbarButtonComponent > span {
+  padding: 0;
+  flex: 0 0 auto;
+}
+
+button.jp-ToolbarButtonComponent .jp-ToolbarButtonComponent-label {
+  font-size: var(--jp-ui-font-size1);
+  line-height: 100%;
+  padding-left: 2px;
+  color: var(--jp-ui-font-color1);
+  font-family: var(--jp-ui-font-family);
+}
+
+#jp-main-dock-panel[data-mode='single-document']
+  .jp-MainAreaWidget
+  > .jp-Toolbar.jp-Toolbar-micro {
+  padding: 0;
+  min-height: 0;
+}
+
+#jp-main-dock-panel[data-mode='single-document']
+  .jp-MainAreaWidget
+  > .jp-Toolbar {
+  border: none;
+  box-shadow: none;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-WindowedPanel-outer {
+  position: relative;
+  overflow-y: auto;
+}
+
+.jp-WindowedPanel-inner {
+  position: relative;
+}
+
+.jp-WindowedPanel-window {
+  position: absolute;
+  left: 0;
+  right: 0;
+  overflow: visible;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/* Sibling imports */
+
+body {
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+}
+
+/* Disable native link decoration styles everywhere outside of dialog boxes */
+a {
+  text-decoration: unset;
+  color: unset;
+}
+
+a:hover {
+  text-decoration: unset;
+  color: unset;
+}
+
+/* Accessibility for links inside dialog box text */
+.jp-Dialog-content a {
+  text-decoration: revert;
+  color: var(--jp-content-link-color);
+}
+
+.jp-Dialog-content a:hover {
+  text-decoration: revert;
+}
+
+/* Styles for ui-components */
+.jp-Button {
+  color: var(--jp-ui-font-color2);
+  border-radius: var(--jp-border-radius);
+  padding: 0 12px;
+  font-size: var(--jp-ui-font-size1);
+
+  /* Copy from blueprint 3 */
+  display: inline-flex;
+  flex-direction: row;
+  border: none;
+  cursor: pointer;
+  align-items: center;
+  justify-content: center;
+  text-align: left;
+  vertical-align: middle;
+  min-height: 30px;
+  min-width: 30px;
+}
+
+.jp-Button:disabled {
+  cursor: not-allowed;
+}
+
+.jp-Button:empty {
+  padding: 0 !important;
+}
+
+.jp-Button.jp-mod-small {
+  min-height: 24px;
+  min-width: 24px;
+  font-size: 12px;
+  padding: 0 7px;
+}
+
+/* Use our own theme for hover styles */
+.jp-Button.jp-mod-minimal:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-Button.jp-mod-minimal {
+  background: none;
+}
+
+.jp-InputGroup {
+  display: block;
+  position: relative;
+}
+
+.jp-InputGroup input {
+  box-sizing: border-box;
+  border: none;
+  border-radius: 0;
+  background-color: transparent;
+  color: var(--jp-ui-font-color0);
+  box-shadow: inset 0 0 0 var(--jp-border-width) var(--jp-input-border-color);
+  padding-bottom: 0;
+  padding-top: 0;
+  padding-left: 10px;
+  padding-right: 28px;
+  position: relative;
+  width: 100%;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+  appearance: none;
+  font-size: 14px;
+  font-weight: 400;
+  height: 30px;
+  line-height: 30px;
+  outline: none;
+  vertical-align: middle;
+}
+
+.jp-InputGroup input:focus {
+  box-shadow: inset 0 0 0 var(--jp-border-width)
+      var(--jp-input-active-box-shadow-color),
+    inset 0 0 0 3px var(--jp-input-active-box-shadow-color);
+}
+
+.jp-InputGroup input:disabled {
+  cursor: not-allowed;
+  resize: block;
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-InputGroup input:disabled ~ span {
+  cursor: not-allowed;
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-InputGroup input::placeholder,
+input::placeholder {
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-InputGroupAction {
+  position: absolute;
+  bottom: 1px;
+  right: 0;
+  padding: 6px;
+}
+
+.jp-HTMLSelect.jp-DefaultStyle select {
+  background-color: initial;
+  border: none;
+  border-radius: 0;
+  box-shadow: none;
+  color: var(--jp-ui-font-color0);
+  display: block;
+  font-size: var(--jp-ui-font-size1);
+  font-family: var(--jp-ui-font-family);
+  height: 24px;
+  line-height: 14px;
+  padding: 0 25px 0 10px;
+  text-align: left;
+  -moz-appearance: none;
+  -webkit-appearance: none;
+}
+
+.jp-HTMLSelect.jp-DefaultStyle select:disabled {
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color2);
+  cursor: not-allowed;
+  resize: block;
+}
+
+.jp-HTMLSelect.jp-DefaultStyle select:disabled ~ span {
+  cursor: not-allowed;
+}
+
+/* Use our own theme for hover and option styles */
+/* stylelint-disable-next-line selector-max-type */
+.jp-HTMLSelect.jp-DefaultStyle select:hover,
+.jp-HTMLSelect.jp-DefaultStyle select > option {
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color0);
+}
+
+select {
+  box-sizing: border-box;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Styles
+|----------------------------------------------------------------------------*/
+
+.jp-StatusBar-Widget {
+  display: flex;
+  align-items: center;
+  background: var(--jp-layout-color2);
+  min-height: var(--jp-statusbar-height);
+  justify-content: space-between;
+  padding: 0 10px;
+}
+
+.jp-StatusBar-Left {
+  display: flex;
+  align-items: center;
+  flex-direction: row;
+}
+
+.jp-StatusBar-Middle {
+  display: flex;
+  align-items: center;
+}
+
+.jp-StatusBar-Right {
+  display: flex;
+  align-items: center;
+  flex-direction: row-reverse;
+}
+
+.jp-StatusBar-Item {
+  max-height: var(--jp-statusbar-height);
+  margin: 0 2px;
+  height: var(--jp-statusbar-height);
+  white-space: nowrap;
+  text-overflow: ellipsis;
+  color: var(--jp-ui-font-color1);
+  padding: 0 6px;
+}
+
+.jp-mod-highlighted:hover {
+  background-color: var(--jp-layout-color3);
+}
+
+.jp-mod-clicked {
+  background-color: var(--jp-brand-color1);
+}
+
+.jp-mod-clicked:hover {
+  background-color: var(--jp-brand-color0);
+}
+
+.jp-mod-clicked .jp-StatusBar-TextItem {
+  color: var(--jp-ui-inverse-font-color1);
+}
+
+.jp-StatusBar-HoverItem {
+  box-shadow: '0px 4px 4px rgba(0, 0, 0, 0.25)';
+}
+
+.jp-StatusBar-TextItem {
+  font-size: var(--jp-ui-font-size1);
+  font-family: var(--jp-ui-font-family);
+  line-height: 24px;
+  color: var(--jp-ui-font-color1);
+}
+
+.jp-StatusBar-GroupItem {
+  display: flex;
+  align-items: center;
+  flex-direction: row;
+}
+
+.jp-Statusbar-ProgressCircle svg {
+  display: block;
+  margin: 0 auto;
+  width: 16px;
+  height: 24px;
+  align-self: normal;
+}
+
+.jp-Statusbar-ProgressCircle path {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-Statusbar-ProgressBar-progress-bar {
+  height: 10px;
+  width: 100px;
+  border: solid 0.25px var(--jp-brand-color2);
+  border-radius: 3px;
+  overflow: hidden;
+  align-self: center;
+}
+
+.jp-Statusbar-ProgressBar-progress-bar > div {
+  background-color: var(--jp-brand-color2);
+  background-image: linear-gradient(
+    -45deg,
+    rgba(255, 255, 255, 0.2) 25%,
+    transparent 25%,
+    transparent 50%,
+    rgba(255, 255, 255, 0.2) 50%,
+    rgba(255, 255, 255, 0.2) 75%,
+    transparent 75%,
+    transparent
+  );
+  background-size: 40px 40px;
+  float: left;
+  width: 0%;
+  height: 100%;
+  font-size: 12px;
+  line-height: 14px;
+  color: #fff;
+  text-align: center;
+  animation: jp-Statusbar-ExecutionTime-progress-bar 2s linear infinite;
+}
+
+.jp-Statusbar-ProgressBar-progress-bar p {
+  color: var(--jp-ui-font-color1);
+  font-family: var(--jp-ui-font-family);
+  font-size: var(--jp-ui-font-size1);
+  line-height: 10px;
+  width: 100px;
+}
+
+@keyframes jp-Statusbar-ExecutionTime-progress-bar {
+  0% {
+    background-position: 0 0;
+  }
+
+  100% {
+    background-position: 40px 40px;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-commandpalette-search-height: 28px;
+}
+
+/*-----------------------------------------------------------------------------
+| Overall styles
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette {
+  padding-bottom: 0;
+  color: var(--jp-ui-font-color1);
+  background: var(--jp-layout-color1);
+
+  /* This is needed so that all font sizing of children done in ems is
+   * relative to this base size */
+  font-size: var(--jp-ui-font-size1);
+}
+
+/*-----------------------------------------------------------------------------
+| Modal variant
+|----------------------------------------------------------------------------*/
+
+.jp-ModalCommandPalette {
+  position: absolute;
+  z-index: 10000;
+  top: 38px;
+  left: 30%;
+  margin: 0;
+  padding: 4px;
+  width: 40%;
+  box-shadow: var(--jp-elevation-z4);
+  border-radius: 4px;
+  background: var(--jp-layout-color0);
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette {
+  max-height: 40vh;
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette .lm-close-icon::after {
+  display: none;
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette .lm-CommandPalette-header {
+  display: none;
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette .lm-CommandPalette-item {
+  margin-left: 4px;
+  margin-right: 4px;
+}
+
+.jp-ModalCommandPalette
+  .lm-CommandPalette
+  .lm-CommandPalette-item.lm-mod-disabled {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Search
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette-search {
+  padding: 4px;
+  background-color: var(--jp-layout-color1);
+  z-index: 2;
+}
+
+.lm-CommandPalette-wrapper {
+  overflow: overlay;
+  padding: 0 9px;
+  background-color: var(--jp-input-active-background);
+  height: 30px;
+  box-shadow: inset 0 0 0 var(--jp-border-width) var(--jp-input-border-color);
+}
+
+.lm-CommandPalette.lm-mod-focused .lm-CommandPalette-wrapper {
+  box-shadow: inset 0 0 0 1px var(--jp-input-active-box-shadow-color),
+    inset 0 0 0 3px var(--jp-input-active-box-shadow-color);
+}
+
+.jp-SearchIconGroup {
+  color: white;
+  background-color: var(--jp-brand-color1);
+  position: absolute;
+  top: 4px;
+  right: 4px;
+  padding: 5px 5px 1px;
+}
+
+.jp-SearchIconGroup svg {
+  height: 20px;
+  width: 20px;
+}
+
+.jp-SearchIconGroup .jp-icon3[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.lm-CommandPalette-input {
+  background: transparent;
+  width: calc(100% - 18px);
+  float: left;
+  border: none;
+  outline: none;
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color0);
+  line-height: var(--jp-private-commandpalette-search-height);
+}
+
+.lm-CommandPalette-input::-webkit-input-placeholder,
+.lm-CommandPalette-input::-moz-placeholder,
+.lm-CommandPalette-input:-ms-input-placeholder {
+  color: var(--jp-ui-font-color2);
+  font-size: var(--jp-ui-font-size1);
+}
+
+/*-----------------------------------------------------------------------------
+| Results
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette-header:first-child {
+  margin-top: 0;
+}
+
+.lm-CommandPalette-header {
+  border-bottom: solid var(--jp-border-width) var(--jp-border-color2);
+  color: var(--jp-ui-font-color1);
+  cursor: pointer;
+  display: flex;
+  font-size: var(--jp-ui-font-size0);
+  font-weight: 600;
+  letter-spacing: 1px;
+  margin-top: 8px;
+  padding: 8px 0 8px 12px;
+  text-transform: uppercase;
+}
+
+.lm-CommandPalette-header.lm-mod-active {
+  background: var(--jp-layout-color2);
+}
+
+.lm-CommandPalette-header > mark {
+  background-color: transparent;
+  font-weight: bold;
+  color: var(--jp-ui-font-color1);
+}
+
+.lm-CommandPalette-item {
+  padding: 4px 12px 4px 4px;
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  font-weight: 400;
+  display: flex;
+}
+
+.lm-CommandPalette-item.lm-mod-disabled {
+  color: var(--jp-ui-font-color2);
+}
+
+.lm-CommandPalette-item.lm-mod-active {
+  color: var(--jp-ui-inverse-font-color1);
+  background: var(--jp-brand-color1);
+}
+
+.lm-CommandPalette-item.lm-mod-active .lm-CommandPalette-itemLabel > mark {
+  color: var(--jp-ui-inverse-font-color0);
+}
+
+.lm-CommandPalette-item.lm-mod-active .jp-icon-selectable[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.lm-CommandPalette-item.lm-mod-active:hover:not(.lm-mod-disabled) {
+  color: var(--jp-ui-inverse-font-color1);
+  background: var(--jp-brand-color1);
+}
+
+.lm-CommandPalette-item:hover:not(.lm-mod-active):not(.lm-mod-disabled) {
+  background: var(--jp-layout-color2);
+}
+
+.lm-CommandPalette-itemContent {
+  overflow: hidden;
+}
+
+.lm-CommandPalette-itemLabel > mark {
+  color: var(--jp-ui-font-color0);
+  background-color: transparent;
+  font-weight: bold;
+}
+
+.lm-CommandPalette-item.lm-mod-disabled mark {
+  color: var(--jp-ui-font-color2);
+}
+
+.lm-CommandPalette-item .lm-CommandPalette-itemIcon {
+  margin: 0 4px 0 0;
+  position: relative;
+  width: 16px;
+  top: 2px;
+  flex: 0 0 auto;
+}
+
+.lm-CommandPalette-item.lm-mod-disabled .lm-CommandPalette-itemIcon {
+  opacity: 0.6;
+}
+
+.lm-CommandPalette-item .lm-CommandPalette-itemShortcut {
+  flex: 0 0 auto;
+}
+
+.lm-CommandPalette-itemCaption {
+  display: none;
+}
+
+.lm-CommandPalette-content {
+  background-color: var(--jp-layout-color1);
+}
+
+.lm-CommandPalette-content:empty::after {
+  content: 'No results';
+  margin: auto;
+  margin-top: 20px;
+  width: 100px;
+  display: block;
+  font-size: var(--jp-ui-font-size2);
+  font-family: var(--jp-ui-font-family);
+  font-weight: lighter;
+}
+
+.lm-CommandPalette-emptyMessage {
+  text-align: center;
+  margin-top: 24px;
+  line-height: 1.32;
+  padding: 0 8px;
+  color: var(--jp-content-font-color3);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Dialog {
+  position: absolute;
+  z-index: 10000;
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  justify-content: center;
+  top: 0;
+  left: 0;
+  margin: 0;
+  padding: 0;
+  width: 100%;
+  height: 100%;
+  background: var(--jp-dialog-background);
+}
+
+.jp-Dialog-content {
+  display: flex;
+  flex-direction: column;
+  margin-left: auto;
+  margin-right: auto;
+  background: var(--jp-layout-color1);
+  padding: 24px 24px 12px;
+  min-width: 300px;
+  min-height: 150px;
+  max-width: 1000px;
+  max-height: 500px;
+  box-sizing: border-box;
+  box-shadow: var(--jp-elevation-z20);
+  word-wrap: break-word;
+  border-radius: var(--jp-border-radius);
+
+  /* This is needed so that all font sizing of children done in ems is
+   * relative to this base size */
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color1);
+  resize: both;
+}
+
+.jp-Dialog-content.jp-Dialog-content-small {
+  max-width: 500px;
+}
+
+.jp-Dialog-button {
+  overflow: visible;
+}
+
+button.jp-Dialog-button:focus {
+  outline: 1px solid var(--jp-brand-color1);
+  outline-offset: 4px;
+  -moz-outline-radius: 0;
+}
+
+button.jp-Dialog-button:focus::-moz-focus-inner {
+  border: 0;
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-accept:focus,
+button.jp-Dialog-button.jp-mod-styled.jp-mod-warn:focus,
+button.jp-Dialog-button.jp-mod-styled.jp-mod-reject:focus {
+  outline-offset: 4px;
+  -moz-outline-radius: 0;
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-accept:focus {
+  outline: 1px solid var(--jp-accept-color-normal, var(--jp-brand-color1));
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-warn:focus {
+  outline: 1px solid var(--jp-warn-color-normal, var(--jp-error-color1));
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-reject:focus {
+  outline: 1px solid var(--jp-reject-color-normal, var(--md-grey-600));
+}
+
+button.jp-Dialog-close-button {
+  padding: 0;
+  height: 100%;
+  min-width: unset;
+  min-height: unset;
+}
+
+.jp-Dialog-header {
+  display: flex;
+  justify-content: space-between;
+  flex: 0 0 auto;
+  padding-bottom: 12px;
+  font-size: var(--jp-ui-font-size3);
+  font-weight: 400;
+  color: var(--jp-ui-font-color1);
+}
+
+.jp-Dialog-body {
+  display: flex;
+  flex-direction: column;
+  flex: 1 1 auto;
+  font-size: var(--jp-ui-font-size1);
+  background: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  overflow: auto;
+}
+
+.jp-Dialog-footer {
+  display: flex;
+  flex-direction: row;
+  justify-content: flex-end;
+  align-items: center;
+  flex: 0 0 auto;
+  margin-left: -12px;
+  margin-right: -12px;
+  padding: 12px;
+}
+
+.jp-Dialog-checkbox {
+  padding-right: 5px;
+}
+
+.jp-Dialog-checkbox > input:focus-visible {
+  outline: 1px solid var(--jp-input-active-border-color);
+  outline-offset: 1px;
+}
+
+.jp-Dialog-spacer {
+  flex: 1 1 auto;
+}
+
+.jp-Dialog-title {
+  overflow: hidden;
+  white-space: nowrap;
+  text-overflow: ellipsis;
+}
+
+.jp-Dialog-body > .jp-select-wrapper {
+  width: 100%;
+}
+
+.jp-Dialog-body > button {
+  padding: 0 16px;
+}
+
+.jp-Dialog-body > label {
+  line-height: 1.4;
+  color: var(--jp-ui-font-color0);
+}
+
+.jp-Dialog-button.jp-mod-styled:not(:last-child) {
+  margin-right: 12px;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-Input-Boolean-Dialog {
+  flex-direction: row-reverse;
+  align-items: end;
+  width: 100%;
+}
+
+.jp-Input-Boolean-Dialog > label {
+  flex: 1 1 auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-MainAreaWidget > :focus {
+  outline: none;
+}
+
+.jp-MainAreaWidget .jp-MainAreaWidget-error {
+  padding: 6px;
+}
+
+.jp-MainAreaWidget .jp-MainAreaWidget-error > pre {
+  width: auto;
+  padding: 10px;
+  background: var(--jp-error-color3);
+  border: var(--jp-border-width) solid var(--jp-error-color1);
+  border-radius: var(--jp-border-radius);
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  white-space: pre-wrap;
+  word-wrap: break-word;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/**
+ * google-material-color v1.2.6
+ * https://github.com/danlevan/google-material-color
+ */
+:root {
+  --md-red-50: #ffebee;
+  --md-red-100: #ffcdd2;
+  --md-red-200: #ef9a9a;
+  --md-red-300: #e57373;
+  --md-red-400: #ef5350;
+  --md-red-500: #f44336;
+  --md-red-600: #e53935;
+  --md-red-700: #d32f2f;
+  --md-red-800: #c62828;
+  --md-red-900: #b71c1c;
+  --md-red-A100: #ff8a80;
+  --md-red-A200: #ff5252;
+  --md-red-A400: #ff1744;
+  --md-red-A700: #d50000;
+  --md-pink-50: #fce4ec;
+  --md-pink-100: #f8bbd0;
+  --md-pink-200: #f48fb1;
+  --md-pink-300: #f06292;
+  --md-pink-400: #ec407a;
+  --md-pink-500: #e91e63;
+  --md-pink-600: #d81b60;
+  --md-pink-700: #c2185b;
+  --md-pink-800: #ad1457;
+  --md-pink-900: #880e4f;
+  --md-pink-A100: #ff80ab;
+  --md-pink-A200: #ff4081;
+  --md-pink-A400: #f50057;
+  --md-pink-A700: #c51162;
+  --md-purple-50: #f3e5f5;
+  --md-purple-100: #e1bee7;
+  --md-purple-200: #ce93d8;
+  --md-purple-300: #ba68c8;
+  --md-purple-400: #ab47bc;
+  --md-purple-500: #9c27b0;
+  --md-purple-600: #8e24aa;
+  --md-purple-700: #7b1fa2;
+  --md-purple-800: #6a1b9a;
+  --md-purple-900: #4a148c;
+  --md-purple-A100: #ea80fc;
+  --md-purple-A200: #e040fb;
+  --md-purple-A400: #d500f9;
+  --md-purple-A700: #a0f;
+  --md-deep-purple-50: #ede7f6;
+  --md-deep-purple-100: #d1c4e9;
+  --md-deep-purple-200: #b39ddb;
+  --md-deep-purple-300: #9575cd;
+  --md-deep-purple-400: #7e57c2;
+  --md-deep-purple-500: #673ab7;
+  --md-deep-purple-600: #5e35b1;
+  --md-deep-purple-700: #512da8;
+  --md-deep-purple-800: #4527a0;
+  --md-deep-purple-900: #311b92;
+  --md-deep-purple-A100: #b388ff;
+  --md-deep-purple-A200: #7c4dff;
+  --md-deep-purple-A400: #651fff;
+  --md-deep-purple-A700: #6200ea;
+  --md-indigo-50: #e8eaf6;
+  --md-indigo-100: #c5cae9;
+  --md-indigo-200: #9fa8da;
+  --md-indigo-300: #7986cb;
+  --md-indigo-400: #5c6bc0;
+  --md-indigo-500: #3f51b5;
+  --md-indigo-600: #3949ab;
+  --md-indigo-700: #303f9f;
+  --md-indigo-800: #283593;
+  --md-indigo-900: #1a237e;
+  --md-indigo-A100: #8c9eff;
+  --md-indigo-A200: #536dfe;
+  --md-indigo-A400: #3d5afe;
+  --md-indigo-A700: #304ffe;
+  --md-blue-50: #e3f2fd;
+  --md-blue-100: #bbdefb;
+  --md-blue-200: #90caf9;
+  --md-blue-300: #64b5f6;
+  --md-blue-400: #42a5f5;
+  --md-blue-500: #2196f3;
+  --md-blue-600: #1e88e5;
+  --md-blue-700: #1976d2;
+  --md-blue-800: #1565c0;
+  --md-blue-900: #0d47a1;
+  --md-blue-A100: #82b1ff;
+  --md-blue-A200: #448aff;
+  --md-blue-A400: #2979ff;
+  --md-blue-A700: #2962ff;
+  --md-light-blue-50: #e1f5fe;
+  --md-light-blue-100: #b3e5fc;
+  --md-light-blue-200: #81d4fa;
+  --md-light-blue-300: #4fc3f7;
+  --md-light-blue-400: #29b6f6;
+  --md-light-blue-500: #03a9f4;
+  --md-light-blue-600: #039be5;
+  --md-light-blue-700: #0288d1;
+  --md-light-blue-800: #0277bd;
+  --md-light-blue-900: #01579b;
+  --md-light-blue-A100: #80d8ff;
+  --md-light-blue-A200: #40c4ff;
+  --md-light-blue-A400: #00b0ff;
+  --md-light-blue-A700: #0091ea;
+  --md-cyan-50: #e0f7fa;
+  --md-cyan-100: #b2ebf2;
+  --md-cyan-200: #80deea;
+  --md-cyan-300: #4dd0e1;
+  --md-cyan-400: #26c6da;
+  --md-cyan-500: #00bcd4;
+  --md-cyan-600: #00acc1;
+  --md-cyan-700: #0097a7;
+  --md-cyan-800: #00838f;
+  --md-cyan-900: #006064;
+  --md-cyan-A100: #84ffff;
+  --md-cyan-A200: #18ffff;
+  --md-cyan-A400: #00e5ff;
+  --md-cyan-A700: #00b8d4;
+  --md-teal-50: #e0f2f1;
+  --md-teal-100: #b2dfdb;
+  --md-teal-200: #80cbc4;
+  --md-teal-300: #4db6ac;
+  --md-teal-400: #26a69a;
+  --md-teal-500: #009688;
+  --md-teal-600: #00897b;
+  --md-teal-700: #00796b;
+  --md-teal-800: #00695c;
+  --md-teal-900: #004d40;
+  --md-teal-A100: #a7ffeb;
+  --md-teal-A200: #64ffda;
+  --md-teal-A400: #1de9b6;
+  --md-teal-A700: #00bfa5;
+  --md-green-50: #e8f5e9;
+  --md-green-100: #c8e6c9;
+  --md-green-200: #a5d6a7;
+  --md-green-300: #81c784;
+  --md-green-400: #66bb6a;
+  --md-green-500: #4caf50;
+  --md-green-600: #43a047;
+  --md-green-700: #388e3c;
+  --md-green-800: #2e7d32;
+  --md-green-900: #1b5e20;
+  --md-green-A100: #b9f6ca;
+  --md-green-A200: #69f0ae;
+  --md-green-A400: #00e676;
+  --md-green-A700: #00c853;
+  --md-light-green-50: #f1f8e9;
+  --md-light-green-100: #dcedc8;
+  --md-light-green-200: #c5e1a5;
+  --md-light-green-300: #aed581;
+  --md-light-green-400: #9ccc65;
+  --md-light-green-500: #8bc34a;
+  --md-light-green-600: #7cb342;
+  --md-light-green-700: #689f38;
+  --md-light-green-800: #558b2f;
+  --md-light-green-900: #33691e;
+  --md-light-green-A100: #ccff90;
+  --md-light-green-A200: #b2ff59;
+  --md-light-green-A400: #76ff03;
+  --md-light-green-A700: #64dd17;
+  --md-lime-50: #f9fbe7;
+  --md-lime-100: #f0f4c3;
+  --md-lime-200: #e6ee9c;
+  --md-lime-300: #dce775;
+  --md-lime-400: #d4e157;
+  --md-lime-500: #cddc39;
+  --md-lime-600: #c0ca33;
+  --md-lime-700: #afb42b;
+  --md-lime-800: #9e9d24;
+  --md-lime-900: #827717;
+  --md-lime-A100: #f4ff81;
+  --md-lime-A200: #eeff41;
+  --md-lime-A400: #c6ff00;
+  --md-lime-A700: #aeea00;
+  --md-yellow-50: #fffde7;
+  --md-yellow-100: #fff9c4;
+  --md-yellow-200: #fff59d;
+  --md-yellow-300: #fff176;
+  --md-yellow-400: #ffee58;
+  --md-yellow-500: #ffeb3b;
+  --md-yellow-600: #fdd835;
+  --md-yellow-700: #fbc02d;
+  --md-yellow-800: #f9a825;
+  --md-yellow-900: #f57f17;
+  --md-yellow-A100: #ffff8d;
+  --md-yellow-A200: #ff0;
+  --md-yellow-A400: #ffea00;
+  --md-yellow-A700: #ffd600;
+  --md-amber-50: #fff8e1;
+  --md-amber-100: #ffecb3;
+  --md-amber-200: #ffe082;
+  --md-amber-300: #ffd54f;
+  --md-amber-400: #ffca28;
+  --md-amber-500: #ffc107;
+  --md-amber-600: #ffb300;
+  --md-amber-700: #ffa000;
+  --md-amber-800: #ff8f00;
+  --md-amber-900: #ff6f00;
+  --md-amber-A100: #ffe57f;
+  --md-amber-A200: #ffd740;
+  --md-amber-A400: #ffc400;
+  --md-amber-A700: #ffab00;
+  --md-orange-50: #fff3e0;
+  --md-orange-100: #ffe0b2;
+  --md-orange-200: #ffcc80;
+  --md-orange-300: #ffb74d;
+  --md-orange-400: #ffa726;
+  --md-orange-500: #ff9800;
+  --md-orange-600: #fb8c00;
+  --md-orange-700: #f57c00;
+  --md-orange-800: #ef6c00;
+  --md-orange-900: #e65100;
+  --md-orange-A100: #ffd180;
+  --md-orange-A200: #ffab40;
+  --md-orange-A400: #ff9100;
+  --md-orange-A700: #ff6d00;
+  --md-deep-orange-50: #fbe9e7;
+  --md-deep-orange-100: #ffccbc;
+  --md-deep-orange-200: #ffab91;
+  --md-deep-orange-300: #ff8a65;
+  --md-deep-orange-400: #ff7043;
+  --md-deep-orange-500: #ff5722;
+  --md-deep-orange-600: #f4511e;
+  --md-deep-orange-700: #e64a19;
+  --md-deep-orange-800: #d84315;
+  --md-deep-orange-900: #bf360c;
+  --md-deep-orange-A100: #ff9e80;
+  --md-deep-orange-A200: #ff6e40;
+  --md-deep-orange-A400: #ff3d00;
+  --md-deep-orange-A700: #dd2c00;
+  --md-brown-50: #efebe9;
+  --md-brown-100: #d7ccc8;
+  --md-brown-200: #bcaaa4;
+  --md-brown-300: #a1887f;
+  --md-brown-400: #8d6e63;
+  --md-brown-500: #795548;
+  --md-brown-600: #6d4c41;
+  --md-brown-700: #5d4037;
+  --md-brown-800: #4e342e;
+  --md-brown-900: #3e2723;
+  --md-grey-50: #fafafa;
+  --md-grey-100: #f5f5f5;
+  --md-grey-200: #eee;
+  --md-grey-300: #e0e0e0;
+  --md-grey-400: #bdbdbd;
+  --md-grey-500: #9e9e9e;
+  --md-grey-600: #757575;
+  --md-grey-700: #616161;
+  --md-grey-800: #424242;
+  --md-grey-900: #212121;
+  --md-blue-grey-50: #eceff1;
+  --md-blue-grey-100: #cfd8dc;
+  --md-blue-grey-200: #b0bec5;
+  --md-blue-grey-300: #90a4ae;
+  --md-blue-grey-400: #78909c;
+  --md-blue-grey-500: #607d8b;
+  --md-blue-grey-600: #546e7a;
+  --md-blue-grey-700: #455a64;
+  --md-blue-grey-800: #37474f;
+  --md-blue-grey-900: #263238;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| RenderedText
+|----------------------------------------------------------------------------*/
+
+:root {
+  /* This is the padding value to fill the gaps between lines containing spans with background color. */
+  --jp-private-code-span-padding: calc(
+    (var(--jp-code-line-height) - 1) * var(--jp-code-font-size) / 2
+  );
+}
+
+.jp-RenderedText {
+  text-align: left;
+  padding-left: var(--jp-code-padding);
+  line-height: var(--jp-code-line-height);
+  font-family: var(--jp-code-font-family);
+}
+
+.jp-RenderedText pre,
+.jp-RenderedJavaScript pre,
+.jp-RenderedHTMLCommon pre {
+  color: var(--jp-content-font-color1);
+  font-size: var(--jp-code-font-size);
+  border: none;
+  margin: 0;
+  padding: 0;
+}
+
+.jp-RenderedText pre a:link {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+.jp-RenderedText pre a:hover {
+  text-decoration: underline;
+  color: var(--jp-content-link-color);
+}
+
+.jp-RenderedText pre a:visited {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+/* console foregrounds and backgrounds */
+.jp-RenderedText pre .ansi-black-fg {
+  color: #3e424d;
+}
+
+.jp-RenderedText pre .ansi-red-fg {
+  color: #e75c58;
+}
+
+.jp-RenderedText pre .ansi-green-fg {
+  color: #00a250;
+}
+
+.jp-RenderedText pre .ansi-yellow-fg {
+  color: #ddb62b;
+}
+
+.jp-RenderedText pre .ansi-blue-fg {
+  color: #208ffb;
+}
+
+.jp-RenderedText pre .ansi-magenta-fg {
+  color: #d160c4;
+}
+
+.jp-RenderedText pre .ansi-cyan-fg {
+  color: #60c6c8;
+}
+
+.jp-RenderedText pre .ansi-white-fg {
+  color: #c5c1b4;
+}
+
+.jp-RenderedText pre .ansi-black-bg {
+  background-color: #3e424d;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-red-bg {
+  background-color: #e75c58;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-green-bg {
+  background-color: #00a250;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-yellow-bg {
+  background-color: #ddb62b;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-blue-bg {
+  background-color: #208ffb;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-magenta-bg {
+  background-color: #d160c4;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-cyan-bg {
+  background-color: #60c6c8;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-white-bg {
+  background-color: #c5c1b4;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-black-intense-fg {
+  color: #282c36;
+}
+
+.jp-RenderedText pre .ansi-red-intense-fg {
+  color: #b22b31;
+}
+
+.jp-RenderedText pre .ansi-green-intense-fg {
+  color: #007427;
+}
+
+.jp-RenderedText pre .ansi-yellow-intense-fg {
+  color: #b27d12;
+}
+
+.jp-RenderedText pre .ansi-blue-intense-fg {
+  color: #0065ca;
+}
+
+.jp-RenderedText pre .ansi-magenta-intense-fg {
+  color: #a03196;
+}
+
+.jp-RenderedText pre .ansi-cyan-intense-fg {
+  color: #258f8f;
+}
+
+.jp-RenderedText pre .ansi-white-intense-fg {
+  color: #a1a6b2;
+}
+
+.jp-RenderedText pre .ansi-black-intense-bg {
+  background-color: #282c36;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-red-intense-bg {
+  background-color: #b22b31;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-green-intense-bg {
+  background-color: #007427;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-yellow-intense-bg {
+  background-color: #b27d12;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-blue-intense-bg {
+  background-color: #0065ca;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-magenta-intense-bg {
+  background-color: #a03196;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-cyan-intense-bg {
+  background-color: #258f8f;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-white-intense-bg {
+  background-color: #a1a6b2;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-default-inverse-fg {
+  color: var(--jp-ui-inverse-font-color0);
+}
+
+.jp-RenderedText pre .ansi-default-inverse-bg {
+  background-color: var(--jp-inverse-layout-color0);
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-bold {
+  font-weight: bold;
+}
+
+.jp-RenderedText pre .ansi-underline {
+  text-decoration: underline;
+}
+
+.jp-RenderedText[data-mime-type='application/vnd.jupyter.stderr'] {
+  background: var(--jp-rendermime-error-background);
+  padding-top: var(--jp-code-padding);
+}
+
+/*-----------------------------------------------------------------------------
+| RenderedLatex
+|----------------------------------------------------------------------------*/
+
+.jp-RenderedLatex {
+  color: var(--jp-content-font-color1);
+  font-size: var(--jp-content-font-size1);
+  line-height: var(--jp-content-line-height);
+}
+
+/* Left-justify outputs.*/
+.jp-OutputArea-output.jp-RenderedLatex {
+  padding: var(--jp-code-padding);
+  text-align: left;
+}
+
+/*-----------------------------------------------------------------------------
+| RenderedHTML
+|----------------------------------------------------------------------------*/
+
+.jp-RenderedHTMLCommon {
+  color: var(--jp-content-font-color1);
+  font-family: var(--jp-content-font-family);
+  font-size: var(--jp-content-font-size1);
+  line-height: var(--jp-content-line-height);
+
+  /* Give a bit more R padding on Markdown text to keep line lengths reasonable */
+  padding-right: 20px;
+}
+
+.jp-RenderedHTMLCommon em {
+  font-style: italic;
+}
+
+.jp-RenderedHTMLCommon strong {
+  font-weight: bold;
+}
+
+.jp-RenderedHTMLCommon u {
+  text-decoration: underline;
+}
+
+.jp-RenderedHTMLCommon a:link {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+.jp-RenderedHTMLCommon a:hover {
+  text-decoration: underline;
+  color: var(--jp-content-link-color);
+}
+
+.jp-RenderedHTMLCommon a:visited {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+/* Headings */
+
+.jp-RenderedHTMLCommon h1,
+.jp-RenderedHTMLCommon h2,
+.jp-RenderedHTMLCommon h3,
+.jp-RenderedHTMLCommon h4,
+.jp-RenderedHTMLCommon h5,
+.jp-RenderedHTMLCommon h6 {
+  line-height: var(--jp-content-heading-line-height);
+  font-weight: var(--jp-content-heading-font-weight);
+  font-style: normal;
+  margin: var(--jp-content-heading-margin-top) 0
+    var(--jp-content-heading-margin-bottom) 0;
+}
+
+.jp-RenderedHTMLCommon h1:first-child,
+.jp-RenderedHTMLCommon h2:first-child,
+.jp-RenderedHTMLCommon h3:first-child,
+.jp-RenderedHTMLCommon h4:first-child,
+.jp-RenderedHTMLCommon h5:first-child,
+.jp-RenderedHTMLCommon h6:first-child {
+  margin-top: calc(0.5 * var(--jp-content-heading-margin-top));
+}
+
+.jp-RenderedHTMLCommon h1:last-child,
+.jp-RenderedHTMLCommon h2:last-child,
+.jp-RenderedHTMLCommon h3:last-child,
+.jp-RenderedHTMLCommon h4:last-child,
+.jp-RenderedHTMLCommon h5:last-child,
+.jp-RenderedHTMLCommon h6:last-child {
+  margin-bottom: calc(0.5 * var(--jp-content-heading-margin-bottom));
+}
+
+.jp-RenderedHTMLCommon h1 {
+  font-size: var(--jp-content-font-size5);
+}
+
+.jp-RenderedHTMLCommon h2 {
+  font-size: var(--jp-content-font-size4);
+}
+
+.jp-RenderedHTMLCommon h3 {
+  font-size: var(--jp-content-font-size3);
+}
+
+.jp-RenderedHTMLCommon h4 {
+  font-size: var(--jp-content-font-size2);
+}
+
+.jp-RenderedHTMLCommon h5 {
+  font-size: var(--jp-content-font-size1);
+}
+
+.jp-RenderedHTMLCommon h6 {
+  font-size: var(--jp-content-font-size0);
+}
+
+/* Lists */
+
+/* stylelint-disable selector-max-type, selector-max-compound-selectors */
+
+.jp-RenderedHTMLCommon ul:not(.list-inline),
+.jp-RenderedHTMLCommon ol:not(.list-inline) {
+  padding-left: 2em;
+}
+
+.jp-RenderedHTMLCommon ul {
+  list-style: disc;
+}
+
+.jp-RenderedHTMLCommon ul ul {
+  list-style: square;
+}
+
+.jp-RenderedHTMLCommon ul ul ul {
+  list-style: circle;
+}
+
+.jp-RenderedHTMLCommon ol {
+  list-style: decimal;
+}
+
+.jp-RenderedHTMLCommon ol ol {
+  list-style: upper-alpha;
+}
+
+.jp-RenderedHTMLCommon ol ol ol {
+  list-style: lower-alpha;
+}
+
+.jp-RenderedHTMLCommon ol ol ol ol {
+  list-style: lower-roman;
+}
+
+.jp-RenderedHTMLCommon ol ol ol ol ol {
+  list-style: decimal;
+}
+
+.jp-RenderedHTMLCommon ol,
+.jp-RenderedHTMLCommon ul {
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon ul ul,
+.jp-RenderedHTMLCommon ul ol,
+.jp-RenderedHTMLCommon ol ul,
+.jp-RenderedHTMLCommon ol ol {
+  margin-bottom: 0;
+}
+
+/* stylelint-enable selector-max-type, selector-max-compound-selectors */
+
+.jp-RenderedHTMLCommon hr {
+  color: var(--jp-border-color2);
+  background-color: var(--jp-border-color1);
+  margin-top: 1em;
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon > pre {
+  margin: 1.5em 2em;
+}
+
+.jp-RenderedHTMLCommon pre,
+.jp-RenderedHTMLCommon code {
+  border: 0;
+  background-color: var(--jp-layout-color0);
+  color: var(--jp-content-font-color1);
+  font-family: var(--jp-code-font-family);
+  font-size: inherit;
+  line-height: var(--jp-code-line-height);
+  padding: 0;
+  white-space: pre-wrap;
+}
+
+.jp-RenderedHTMLCommon :not(pre) > code {
+  background-color: var(--jp-layout-color2);
+  padding: 1px 5px;
+}
+
+/* Tables */
+
+.jp-RenderedHTMLCommon table {
+  border-collapse: collapse;
+  border-spacing: 0;
+  border: none;
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  table-layout: fixed;
+  margin-left: auto;
+  margin-bottom: 1em;
+  margin-right: auto;
+}
+
+.jp-RenderedHTMLCommon thead {
+  border-bottom: var(--jp-border-width) solid var(--jp-border-color1);
+  vertical-align: bottom;
+}
+
+.jp-RenderedHTMLCommon td,
+.jp-RenderedHTMLCommon th,
+.jp-RenderedHTMLCommon tr {
+  vertical-align: middle;
+  padding: 0.5em;
+  line-height: normal;
+  white-space: normal;
+  max-width: none;
+  border: none;
+}
+
+.jp-RenderedMarkdown.jp-RenderedHTMLCommon td,
+.jp-RenderedMarkdown.jp-RenderedHTMLCommon th {
+  max-width: none;
+}
+
+:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon td,
+:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon th,
+:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon tr {
+  text-align: right;
+}
+
+.jp-RenderedHTMLCommon th {
+  font-weight: bold;
+}
+
+.jp-RenderedHTMLCommon tbody tr:nth-child(odd) {
+  background: var(--jp-layout-color0);
+}
+
+.jp-RenderedHTMLCommon tbody tr:nth-child(even) {
+  background: var(--jp-rendermime-table-row-background);
+}
+
+.jp-RenderedHTMLCommon tbody tr:hover {
+  background: var(--jp-rendermime-table-row-hover-background);
+}
+
+.jp-RenderedHTMLCommon p {
+  text-align: left;
+  margin: 0;
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon img {
+  -moz-force-broken-image-icon: 1;
+}
+
+/* Restrict to direct children as other images could be nested in other content. */
+.jp-RenderedHTMLCommon > img {
+  display: block;
+  margin-left: 0;
+  margin-right: 0;
+  margin-bottom: 1em;
+}
+
+/* Change color behind transparent images if they need it... */
+[data-jp-theme-light='false'] .jp-RenderedImage img.jp-needs-light-background {
+  background-color: var(--jp-inverse-layout-color1);
+}
+
+[data-jp-theme-light='true'] .jp-RenderedImage img.jp-needs-dark-background {
+  background-color: var(--jp-inverse-layout-color1);
+}
+
+.jp-RenderedHTMLCommon img,
+.jp-RenderedImage img,
+.jp-RenderedHTMLCommon svg,
+.jp-RenderedSVG svg {
+  max-width: 100%;
+  height: auto;
+}
+
+.jp-RenderedHTMLCommon img.jp-mod-unconfined,
+.jp-RenderedImage img.jp-mod-unconfined,
+.jp-RenderedHTMLCommon svg.jp-mod-unconfined,
+.jp-RenderedSVG svg.jp-mod-unconfined {
+  max-width: none;
+}
+
+.jp-RenderedHTMLCommon .alert {
+  padding: var(--jp-notebook-padding);
+  border: var(--jp-border-width) solid transparent;
+  border-radius: var(--jp-border-radius);
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon .alert-info {
+  color: var(--jp-info-color0);
+  background-color: var(--jp-info-color3);
+  border-color: var(--jp-info-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-info hr {
+  border-color: var(--jp-info-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-info > p:last-child,
+.jp-RenderedHTMLCommon .alert-info > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon .alert-warning {
+  color: var(--jp-warn-color0);
+  background-color: var(--jp-warn-color3);
+  border-color: var(--jp-warn-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-warning hr {
+  border-color: var(--jp-warn-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-warning > p:last-child,
+.jp-RenderedHTMLCommon .alert-warning > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon .alert-success {
+  color: var(--jp-success-color0);
+  background-color: var(--jp-success-color3);
+  border-color: var(--jp-success-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-success hr {
+  border-color: var(--jp-success-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-success > p:last-child,
+.jp-RenderedHTMLCommon .alert-success > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon .alert-danger {
+  color: var(--jp-error-color0);
+  background-color: var(--jp-error-color3);
+  border-color: var(--jp-error-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-danger hr {
+  border-color: var(--jp-error-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-danger > p:last-child,
+.jp-RenderedHTMLCommon .alert-danger > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon blockquote {
+  margin: 1em 2em;
+  padding: 0 1em;
+  border-left: 5px solid var(--jp-border-color2);
+}
+
+a.jp-InternalAnchorLink {
+  visibility: hidden;
+  margin-left: 8px;
+  color: var(--md-blue-800);
+}
+
+h1:hover .jp-InternalAnchorLink,
+h2:hover .jp-InternalAnchorLink,
+h3:hover .jp-InternalAnchorLink,
+h4:hover .jp-InternalAnchorLink,
+h5:hover .jp-InternalAnchorLink,
+h6:hover .jp-InternalAnchorLink {
+  visibility: visible;
+}
+
+.jp-RenderedHTMLCommon kbd {
+  background-color: var(--jp-rendermime-table-row-background);
+  border: 1px solid var(--jp-border-color0);
+  border-bottom-color: var(--jp-border-color2);
+  border-radius: 3px;
+  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.25);
+  display: inline-block;
+  font-size: var(--jp-ui-font-size0);
+  line-height: 1em;
+  padding: 0.2em 0.5em;
+}
+
+/* Most direct children of .jp-RenderedHTMLCommon have a margin-bottom of 1.0.
+ * At the bottom of cells this is a bit too much as there is also spacing
+ * between cells. Going all the way to 0 gets too tight between markdown and
+ * code cells.
+ */
+.jp-RenderedHTMLCommon > *:last-child {
+  margin-bottom: 0.5em;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-cursor-backdrop {
+  position: fixed;
+  width: 200px;
+  height: 200px;
+  margin-top: -100px;
+  margin-left: -100px;
+  will-change: transform;
+  z-index: 100;
+}
+
+.lm-mod-drag-image {
+  will-change: transform;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-lineFormSearch {
+  padding: 4px 12px;
+  background-color: var(--jp-layout-color2);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  z-index: 2;
+  font-size: var(--jp-ui-font-size1);
+}
+
+.jp-lineFormCaption {
+  font-size: var(--jp-ui-font-size0);
+  line-height: var(--jp-ui-font-size1);
+  margin-top: 4px;
+  color: var(--jp-ui-font-color0);
+}
+
+.jp-baseLineForm {
+  border: none;
+  border-radius: 0;
+  position: absolute;
+  background-size: 16px;
+  background-repeat: no-repeat;
+  background-position: center;
+  outline: none;
+}
+
+.jp-lineFormButtonContainer {
+  top: 4px;
+  right: 8px;
+  height: 24px;
+  padding: 0 12px;
+  width: 12px;
+}
+
+.jp-lineFormButtonIcon {
+  top: 0;
+  right: 0;
+  background-color: var(--jp-brand-color1);
+  height: 100%;
+  width: 100%;
+  box-sizing: border-box;
+  padding: 4px 6px;
+}
+
+.jp-lineFormButton {
+  top: 0;
+  right: 0;
+  background-color: transparent;
+  height: 100%;
+  width: 100%;
+  box-sizing: border-box;
+}
+
+.jp-lineFormWrapper {
+  overflow: hidden;
+  padding: 0 8px;
+  border: 1px solid var(--jp-border-color0);
+  background-color: var(--jp-input-active-background);
+  height: 22px;
+}
+
+.jp-lineFormWrapperFocusWithin {
+  border: var(--jp-border-width) solid var(--md-blue-500);
+  box-shadow: inset 0 0 4px var(--md-blue-300);
+}
+
+.jp-lineFormInput {
+  background: transparent;
+  width: 200px;
+  height: 100%;
+  border: none;
+  outline: none;
+  color: var(--jp-ui-font-color0);
+  line-height: 28px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-JSONEditor {
+  display: flex;
+  flex-direction: column;
+  width: 100%;
+}
+
+.jp-JSONEditor-host {
+  flex: 1 1 auto;
+  border: var(--jp-border-width) solid var(--jp-input-border-color);
+  border-radius: 0;
+  background: var(--jp-layout-color0);
+  min-height: 50px;
+  padding: 1px;
+}
+
+.jp-JSONEditor.jp-mod-error .jp-JSONEditor-host {
+  border-color: red;
+  outline-color: red;
+}
+
+.jp-JSONEditor-header {
+  display: flex;
+  flex: 1 0 auto;
+  padding: 0 0 0 12px;
+}
+
+.jp-JSONEditor-header label {
+  flex: 0 0 auto;
+}
+
+.jp-JSONEditor-commitButton {
+  height: 16px;
+  width: 16px;
+  background-size: 18px;
+  background-repeat: no-repeat;
+  background-position: center;
+}
+
+.jp-JSONEditor-host.jp-mod-focused {
+  background-color: var(--jp-input-active-background);
+  border: 1px solid var(--jp-input-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+}
+
+.jp-Editor.jp-mod-dropTarget {
+  border: var(--jp-border-width) solid var(--jp-input-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+.jp-DocumentSearch-input {
+  border: none;
+  outline: none;
+  color: var(--jp-ui-font-color0);
+  font-size: var(--jp-ui-font-size1);
+  background-color: var(--jp-layout-color0);
+  font-family: var(--jp-ui-font-family);
+  padding: 2px 1px;
+  resize: none;
+}
+
+.jp-DocumentSearch-overlay {
+  position: absolute;
+  background-color: var(--jp-toolbar-background);
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  border-left: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  top: 0;
+  right: 0;
+  z-index: 7;
+  min-width: 405px;
+  padding: 2px;
+  font-size: var(--jp-ui-font-size1);
+
+  --jp-private-document-search-button-height: 20px;
+}
+
+.jp-DocumentSearch-overlay button {
+  background-color: var(--jp-toolbar-background);
+  outline: 0;
+}
+
+.jp-DocumentSearch-overlay button:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-overlay button:active {
+  background-color: var(--jp-layout-color3);
+}
+
+.jp-DocumentSearch-overlay-row {
+  display: flex;
+  align-items: center;
+  margin-bottom: 2px;
+}
+
+.jp-DocumentSearch-button-content {
+  display: inline-block;
+  cursor: pointer;
+  box-sizing: border-box;
+  width: 100%;
+  height: 100%;
+}
+
+.jp-DocumentSearch-button-content svg {
+  width: 100%;
+  height: 100%;
+}
+
+.jp-DocumentSearch-input-wrapper {
+  border: var(--jp-border-width) solid var(--jp-border-color0);
+  display: flex;
+  background-color: var(--jp-layout-color0);
+  margin: 2px;
+}
+
+.jp-DocumentSearch-input-wrapper:focus-within {
+  border-color: var(--jp-cell-editor-active-border-color);
+}
+
+.jp-DocumentSearch-toggle-wrapper,
+.jp-DocumentSearch-button-wrapper {
+  all: initial;
+  overflow: hidden;
+  display: inline-block;
+  border: none;
+  box-sizing: border-box;
+}
+
+.jp-DocumentSearch-toggle-wrapper {
+  width: 14px;
+  height: 14px;
+}
+
+.jp-DocumentSearch-button-wrapper {
+  width: var(--jp-private-document-search-button-height);
+  height: var(--jp-private-document-search-button-height);
+}
+
+.jp-DocumentSearch-toggle-wrapper:focus,
+.jp-DocumentSearch-button-wrapper:focus {
+  outline: var(--jp-border-width) solid
+    var(--jp-cell-editor-active-border-color);
+  outline-offset: -1px;
+}
+
+.jp-DocumentSearch-toggle-wrapper,
+.jp-DocumentSearch-button-wrapper,
+.jp-DocumentSearch-button-content:focus {
+  outline: none;
+}
+
+.jp-DocumentSearch-toggle-placeholder {
+  width: 5px;
+}
+
+.jp-DocumentSearch-input-button::before {
+  display: block;
+  padding-top: 100%;
+}
+
+.jp-DocumentSearch-input-button-off {
+  opacity: var(--jp-search-toggle-off-opacity);
+}
+
+.jp-DocumentSearch-input-button-off:hover {
+  opacity: var(--jp-search-toggle-hover-opacity);
+}
+
+.jp-DocumentSearch-input-button-on {
+  opacity: var(--jp-search-toggle-on-opacity);
+}
+
+.jp-DocumentSearch-index-counter {
+  padding-left: 10px;
+  padding-right: 10px;
+  user-select: none;
+  min-width: 35px;
+  display: inline-block;
+}
+
+.jp-DocumentSearch-up-down-wrapper {
+  display: inline-block;
+  padding-right: 2px;
+  margin-left: auto;
+  white-space: nowrap;
+}
+
+.jp-DocumentSearch-spacer {
+  margin-left: auto;
+}
+
+.jp-DocumentSearch-up-down-wrapper button {
+  outline: 0;
+  border: none;
+  width: var(--jp-private-document-search-button-height);
+  height: var(--jp-private-document-search-button-height);
+  vertical-align: middle;
+  margin: 1px 5px 2px;
+}
+
+.jp-DocumentSearch-up-down-button:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-up-down-button:active {
+  background-color: var(--jp-layout-color3);
+}
+
+.jp-DocumentSearch-filter-button {
+  border-radius: var(--jp-border-radius);
+}
+
+.jp-DocumentSearch-filter-button:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-filter-button-enabled {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-filter-button-enabled:hover {
+  background-color: var(--jp-layout-color3);
+}
+
+.jp-DocumentSearch-search-options {
+  padding: 0 8px;
+  margin-left: 3px;
+  width: 100%;
+  display: grid;
+  justify-content: start;
+  grid-template-columns: 1fr 1fr;
+  align-items: center;
+  justify-items: stretch;
+}
+
+.jp-DocumentSearch-search-filter-disabled {
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-DocumentSearch-search-filter {
+  display: flex;
+  align-items: center;
+  user-select: none;
+}
+
+.jp-DocumentSearch-regex-error {
+  color: var(--jp-error-color0);
+}
+
+.jp-DocumentSearch-replace-button-wrapper {
+  overflow: hidden;
+  display: inline-block;
+  box-sizing: border-box;
+  border: var(--jp-border-width) solid var(--jp-border-color0);
+  margin: auto 2px;
+  padding: 1px 4px;
+  height: calc(var(--jp-private-document-search-button-height) + 2px);
+}
+
+.jp-DocumentSearch-replace-button-wrapper:focus {
+  border: var(--jp-border-width) solid var(--jp-cell-editor-active-border-color);
+}
+
+.jp-DocumentSearch-replace-button {
+  display: inline-block;
+  text-align: center;
+  cursor: pointer;
+  box-sizing: border-box;
+  color: var(--jp-ui-font-color1);
+
+  /* height - 2 * (padding of wrapper) */
+  line-height: calc(var(--jp-private-document-search-button-height) - 2px);
+  width: 100%;
+  height: 100%;
+}
+
+.jp-DocumentSearch-replace-button:focus {
+  outline: none;
+}
+
+.jp-DocumentSearch-replace-wrapper-class {
+  margin-left: 14px;
+  display: flex;
+}
+
+.jp-DocumentSearch-replace-toggle {
+  border: none;
+  background-color: var(--jp-toolbar-background);
+  border-radius: var(--jp-border-radius);
+}
+
+.jp-DocumentSearch-replace-toggle:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.cm-editor {
+  line-height: var(--jp-code-line-height);
+  font-size: var(--jp-code-font-size);
+  font-family: var(--jp-code-font-family);
+  border: 0;
+  border-radius: 0;
+  height: auto;
+
+  /* Changed to auto to autogrow */
+}
+
+.cm-editor pre {
+  padding: 0 var(--jp-code-padding);
+}
+
+.jp-CodeMirrorEditor[data-type='inline'] .cm-dialog {
+  background-color: var(--jp-layout-color0);
+  color: var(--jp-content-font-color1);
+}
+
+.jp-CodeMirrorEditor {
+  cursor: text;
+}
+
+/* When zoomed out 67% and 33% on a screen of 1440 width x 900 height */
+@media screen and (min-width: 2138px) and (max-width: 4319px) {
+  .jp-CodeMirrorEditor[data-type='inline'] .cm-cursor {
+    border-left: var(--jp-code-cursor-width1) solid
+      var(--jp-editor-cursor-color);
+  }
+}
+
+/* When zoomed out less than 33% */
+@media screen and (min-width: 4320px) {
+  .jp-CodeMirrorEditor[data-type='inline'] .cm-cursor {
+    border-left: var(--jp-code-cursor-width2) solid
+      var(--jp-editor-cursor-color);
+  }
+}
+
+.cm-editor.jp-mod-readOnly .cm-cursor {
+  display: none;
+}
+
+.jp-CollaboratorCursor {
+  border-left: 5px solid transparent;
+  border-right: 5px solid transparent;
+  border-top: none;
+  border-bottom: 3px solid;
+  background-clip: content-box;
+  margin-left: -5px;
+  margin-right: -5px;
+}
+
+.cm-searching,
+.cm-searching span {
+  /* `.cm-searching span`: we need to override syntax highlighting */
+  background-color: var(--jp-search-unselected-match-background-color);
+  color: var(--jp-search-unselected-match-color);
+}
+
+.cm-searching::selection,
+.cm-searching span::selection {
+  background-color: var(--jp-search-unselected-match-background-color);
+  color: var(--jp-search-unselected-match-color);
+}
+
+.jp-current-match > .cm-searching,
+.jp-current-match > .cm-searching span,
+.cm-searching > .jp-current-match,
+.cm-searching > .jp-current-match span {
+  background-color: var(--jp-search-selected-match-background-color);
+  color: var(--jp-search-selected-match-color);
+}
+
+.jp-current-match > .cm-searching::selection,
+.cm-searching > .jp-current-match::selection,
+.jp-current-match > .cm-searching span::selection {
+  background-color: var(--jp-search-selected-match-background-color);
+  color: var(--jp-search-selected-match-color);
+}
+
+.cm-trailingspace {
+  background-image: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAgAAAAFCAYAAAB4ka1VAAAAsElEQVQIHQGlAFr/AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA7+r3zKmT0/+pk9P/7+r3zAAAAAAAAAAABAAAAAAAAAAA6OPzM+/q9wAAAAAA6OPzMwAAAAAAAAAAAgAAAAAAAAAAGR8NiRQaCgAZIA0AGR8NiQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQyoYJ/SY80UAAAAASUVORK5CYII=);
+  background-position: center left;
+  background-repeat: repeat-x;
+}
+
+.jp-CollaboratorCursor-hover {
+  position: absolute;
+  z-index: 1;
+  transform: translateX(-50%);
+  color: white;
+  border-radius: 3px;
+  padding-left: 4px;
+  padding-right: 4px;
+  padding-top: 1px;
+  padding-bottom: 1px;
+  text-align: center;
+  font-size: var(--jp-ui-font-size1);
+  white-space: nowrap;
+}
+
+.jp-CodeMirror-ruler {
+  border-left: 1px dashed var(--jp-border-color2);
+}
+
+/* Styles for shared cursors (remote cursor locations and selected ranges) */
+.jp-CodeMirrorEditor .cm-ySelectionCaret {
+  position: relative;
+  border-left: 1px solid black;
+  margin-left: -1px;
+  margin-right: -1px;
+  box-sizing: border-box;
+}
+
+.jp-CodeMirrorEditor .cm-ySelectionCaret > .cm-ySelectionInfo {
+  white-space: nowrap;
+  position: absolute;
+  top: -1.15em;
+  padding-bottom: 0.05em;
+  left: -1px;
+  font-size: 0.95em;
+  font-family: var(--jp-ui-font-family);
+  font-weight: bold;
+  line-height: normal;
+  user-select: none;
+  color: white;
+  padding-left: 2px;
+  padding-right: 2px;
+  z-index: 101;
+  transition: opacity 0.3s ease-in-out;
+}
+
+.jp-CodeMirrorEditor .cm-ySelectionInfo {
+  transition-delay: 0.7s;
+  opacity: 0;
+}
+
+.jp-CodeMirrorEditor .cm-ySelectionCaret:hover > .cm-ySelectionInfo {
+  opacity: 1;
+  transition-delay: 0s;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-MimeDocument {
+  outline: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-filebrowser-button-height: 28px;
+  --jp-private-filebrowser-button-width: 48px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-FileBrowser .jp-SidePanel-content {
+  display: flex;
+  flex-direction: column;
+}
+
+.jp-FileBrowser-toolbar.jp-Toolbar {
+  flex-wrap: wrap;
+  row-gap: 12px;
+  border-bottom: none;
+  height: auto;
+  margin: 8px 12px 0;
+  box-shadow: none;
+  padding: 0;
+  justify-content: flex-start;
+}
+
+.jp-FileBrowser-Panel {
+  flex: 1 1 auto;
+  display: flex;
+  flex-direction: column;
+}
+
+.jp-BreadCrumbs {
+  flex: 0 0 auto;
+  margin: 8px 12px;
+}
+
+.jp-BreadCrumbs-item {
+  margin: 0 2px;
+  padding: 0 2px;
+  border-radius: var(--jp-border-radius);
+  cursor: pointer;
+}
+
+.jp-BreadCrumbs-item:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-BreadCrumbs-item:first-child {
+  margin-left: 0;
+}
+
+.jp-BreadCrumbs-item.jp-mod-dropTarget {
+  background-color: var(--jp-brand-color2);
+  opacity: 0.7;
+}
+
+/*-----------------------------------------------------------------------------
+| Buttons
+|----------------------------------------------------------------------------*/
+
+.jp-FileBrowser-toolbar > .jp-Toolbar-item {
+  flex: 0 0 auto;
+  padding-left: 0;
+  padding-right: 2px;
+  align-items: center;
+  height: unset;
+}
+
+.jp-FileBrowser-toolbar > .jp-Toolbar-item .jp-ToolbarButtonComponent {
+  width: 40px;
+}
+
+/*-----------------------------------------------------------------------------
+| Other styles
+|----------------------------------------------------------------------------*/
+
+.jp-FileDialog.jp-mod-conflict input {
+  color: var(--jp-error-color1);
+}
+
+.jp-FileDialog .jp-new-name-title {
+  margin-top: 12px;
+}
+
+.jp-LastModified-hidden {
+  display: none;
+}
+
+.jp-FileSize-hidden {
+  display: none;
+}
+
+.jp-FileBrowser .lm-AccordionPanel > h3:first-child {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| DirListing
+|----------------------------------------------------------------------------*/
+
+.jp-DirListing {
+  flex: 1 1 auto;
+  display: flex;
+  flex-direction: column;
+  outline: 0;
+}
+
+.jp-DirListing-header {
+  flex: 0 0 auto;
+  display: flex;
+  flex-direction: row;
+  align-items: center;
+  overflow: hidden;
+  border-top: var(--jp-border-width) solid var(--jp-border-color2);
+  border-bottom: var(--jp-border-width) solid var(--jp-border-color1);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  z-index: 2;
+}
+
+.jp-DirListing-headerItem {
+  padding: 4px 12px 2px;
+  font-weight: 500;
+}
+
+.jp-DirListing-headerItem:hover {
+  background: var(--jp-layout-color2);
+}
+
+.jp-DirListing-headerItem.jp-id-name {
+  flex: 1 0 84px;
+}
+
+.jp-DirListing-headerItem.jp-id-modified {
+  flex: 0 0 112px;
+  border-left: var(--jp-border-width) solid var(--jp-border-color2);
+  text-align: right;
+}
+
+.jp-DirListing-headerItem.jp-id-filesize {
+  flex: 0 0 75px;
+  border-left: var(--jp-border-width) solid var(--jp-border-color2);
+  text-align: right;
+}
+
+.jp-id-narrow {
+  display: none;
+  flex: 0 0 5px;
+  padding: 4px;
+  border-left: var(--jp-border-width) solid var(--jp-border-color2);
+  text-align: right;
+  color: var(--jp-border-color2);
+}
+
+.jp-DirListing-narrow .jp-id-narrow {
+  display: block;
+}
+
+.jp-DirListing-narrow .jp-id-modified,
+.jp-DirListing-narrow .jp-DirListing-itemModified {
+  display: none;
+}
+
+.jp-DirListing-headerItem.jp-mod-selected {
+  font-weight: 600;
+}
+
+/* increase specificity to override bundled default */
+.jp-DirListing-content {
+  flex: 1 1 auto;
+  margin: 0;
+  padding: 0;
+  list-style-type: none;
+  overflow: auto;
+  background-color: var(--jp-layout-color1);
+}
+
+.jp-DirListing-content mark {
+  color: var(--jp-ui-font-color0);
+  background-color: transparent;
+  font-weight: bold;
+}
+
+.jp-DirListing-content .jp-DirListing-item.jp-mod-selected mark {
+  color: var(--jp-ui-inverse-font-color0);
+}
+
+/* Style the directory listing content when a user drops a file to upload */
+.jp-DirListing.jp-mod-native-drop .jp-DirListing-content {
+  outline: 5px dashed rgba(128, 128, 128, 0.5);
+  outline-offset: -10px;
+  cursor: copy;
+}
+
+.jp-DirListing-item {
+  display: flex;
+  flex-direction: row;
+  align-items: center;
+  padding: 4px 12px;
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.jp-DirListing-checkboxWrapper {
+  /* Increases hit area of checkbox. */
+  padding: 4px;
+}
+
+.jp-DirListing-header
+  .jp-DirListing-checkboxWrapper
+  + .jp-DirListing-headerItem {
+  padding-left: 4px;
+}
+
+.jp-DirListing-content .jp-DirListing-checkboxWrapper {
+  position: relative;
+  left: -4px;
+  margin: -4px 0 -4px -8px;
+}
+
+.jp-DirListing-checkboxWrapper.jp-mod-visible {
+  visibility: visible;
+}
+
+/* For devices that support hovering, hide checkboxes until hovered, selected...
+*/
+@media (hover: hover) {
+  .jp-DirListing-checkboxWrapper {
+    visibility: hidden;
+  }
+
+  .jp-DirListing-item:hover .jp-DirListing-checkboxWrapper,
+  .jp-DirListing-item.jp-mod-selected .jp-DirListing-checkboxWrapper {
+    visibility: visible;
+  }
+}
+
+.jp-DirListing-item[data-is-dot] {
+  opacity: 75%;
+}
+
+.jp-DirListing-item.jp-mod-selected {
+  color: var(--jp-ui-inverse-font-color1);
+  background: var(--jp-brand-color1);
+}
+
+.jp-DirListing-item.jp-mod-dropTarget {
+  background: var(--jp-brand-color3);
+}
+
+.jp-DirListing-item:hover:not(.jp-mod-selected) {
+  background: var(--jp-layout-color2);
+}
+
+.jp-DirListing-itemIcon {
+  flex: 0 0 20px;
+  margin-right: 4px;
+}
+
+.jp-DirListing-itemText {
+  flex: 1 0 64px;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+  user-select: none;
+}
+
+.jp-DirListing-itemText:focus {
+  outline-width: 2px;
+  outline-color: var(--jp-inverse-layout-color1);
+  outline-style: solid;
+  outline-offset: 1px;
+}
+
+.jp-DirListing-item.jp-mod-selected .jp-DirListing-itemText:focus {
+  outline-color: var(--jp-layout-color1);
+}
+
+.jp-DirListing-itemModified {
+  flex: 0 0 125px;
+  text-align: right;
+}
+
+.jp-DirListing-itemFileSize {
+  flex: 0 0 90px;
+  text-align: right;
+}
+
+.jp-DirListing-editor {
+  flex: 1 0 64px;
+  outline: none;
+  border: none;
+  color: var(--jp-ui-font-color1);
+  background-color: var(--jp-layout-color1);
+}
+
+.jp-DirListing-item.jp-mod-running .jp-DirListing-itemIcon::before {
+  color: var(--jp-success-color1);
+  content: '\25CF';
+  font-size: 8px;
+  position: absolute;
+  left: -8px;
+}
+
+.jp-DirListing-item.jp-mod-running.jp-mod-selected
+  .jp-DirListing-itemIcon::before {
+  color: var(--jp-ui-inverse-font-color1);
+}
+
+.jp-DirListing-item.lm-mod-drag-image,
+.jp-DirListing-item.jp-mod-selected.lm-mod-drag-image {
+  font-size: var(--jp-ui-font-size1);
+  padding-left: 4px;
+  margin-left: 4px;
+  width: 160px;
+  background-color: var(--jp-ui-inverse-font-color2);
+  box-shadow: var(--jp-elevation-z2);
+  border-radius: 0;
+  color: var(--jp-ui-font-color1);
+  transform: translateX(-40%) translateY(-58%);
+}
+
+.jp-Document {
+  min-width: 120px;
+  min-height: 120px;
+  outline: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Main OutputArea
+| OutputArea has a list of Outputs
+|----------------------------------------------------------------------------*/
+
+.jp-OutputArea {
+  overflow-y: auto;
+}
+
+.jp-OutputArea-child {
+  display: table;
+  table-layout: fixed;
+  width: 100%;
+  overflow: hidden;
+}
+
+.jp-OutputPrompt {
+  width: var(--jp-cell-prompt-width);
+  color: var(--jp-cell-outprompt-font-color);
+  font-family: var(--jp-cell-prompt-font-family);
+  padding: var(--jp-code-padding);
+  letter-spacing: var(--jp-cell-prompt-letter-spacing);
+  line-height: var(--jp-code-line-height);
+  font-size: var(--jp-code-font-size);
+  border: var(--jp-border-width) solid transparent;
+  opacity: var(--jp-cell-prompt-opacity);
+
+  /* Right align prompt text, don't wrap to handle large prompt numbers */
+  text-align: right;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+
+  /* Disable text selection */
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.jp-OutputArea-prompt {
+  display: table-cell;
+  vertical-align: top;
+}
+
+.jp-OutputArea-output {
+  display: table-cell;
+  width: 100%;
+  height: auto;
+  overflow: auto;
+  user-select: text;
+  -moz-user-select: text;
+  -webkit-user-select: text;
+  -ms-user-select: text;
+}
+
+.jp-OutputArea .jp-RenderedText {
+  padding-left: 1ch;
+}
+
+/**
+ * Prompt overlay.
+ */
+
+.jp-OutputArea-promptOverlay {
+  position: absolute;
+  top: 0;
+  width: var(--jp-cell-prompt-width);
+  height: 100%;
+  opacity: 0.5;
+}
+
+.jp-OutputArea-promptOverlay:hover {
+  background: var(--jp-layout-color2);
+  box-shadow: inset 0 0 1px var(--jp-inverse-layout-color0);
+  cursor: zoom-out;
+}
+
+.jp-mod-outputsScrolled .jp-OutputArea-promptOverlay:hover {
+  cursor: zoom-in;
+}
+
+/**
+ * Isolated output.
+ */
+.jp-OutputArea-output.jp-mod-isolated {
+  width: 100%;
+  display: block;
+}
+
+/*
+When drag events occur, `lm-mod-override-cursor` is added to the body.
+Because iframes steal all cursor events, the following two rules are necessary
+to suppress pointer events while resize drags are occurring. There may be a
+better solution to this problem.
+*/
+body.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated {
+  position: relative;
+}
+
+body.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated::before {
+  content: '';
+  position: absolute;
+  top: 0;
+  left: 0;
+  right: 0;
+  bottom: 0;
+  background: transparent;
+}
+
+/* pre */
+
+.jp-OutputArea-output pre {
+  border: none;
+  margin: 0;
+  padding: 0;
+  overflow-x: auto;
+  overflow-y: auto;
+  word-break: break-all;
+  word-wrap: break-word;
+  white-space: pre-wrap;
+}
+
+/* tables */
+
+.jp-OutputArea-output.jp-RenderedHTMLCommon table {
+  margin-left: 0;
+  margin-right: 0;
+}
+
+/* description lists */
+
+.jp-OutputArea-output dl,
+.jp-OutputArea-output dt,
+.jp-OutputArea-output dd {
+  display: block;
+}
+
+.jp-OutputArea-output dl {
+  width: 100%;
+  overflow: hidden;
+  padding: 0;
+  margin: 0;
+}
+
+.jp-OutputArea-output dt {
+  font-weight: bold;
+  float: left;
+  width: 20%;
+  padding: 0;
+  margin: 0;
+}
+
+.jp-OutputArea-output dd {
+  float: left;
+  width: 80%;
+  padding: 0;
+  margin: 0;
+}
+
+.jp-TrimmedOutputs pre {
+  background: var(--jp-layout-color3);
+  font-size: calc(var(--jp-code-font-size) * 1.4);
+  text-align: center;
+  text-transform: uppercase;
+}
+
+/* Hide the gutter in case of
+ *  - nested output areas (e.g. in the case of output widgets)
+ *  - mirrored output areas
+ */
+.jp-OutputArea .jp-OutputArea .jp-OutputArea-prompt {
+  display: none;
+}
+
+/* Hide empty lines in the output area, for instance due to cleared widgets */
+.jp-OutputArea-prompt:empty {
+  padding: 0;
+  border: 0;
+}
+
+/*-----------------------------------------------------------------------------
+| executeResult is added to any Output-result for the display of the object
+| returned by a cell
+|----------------------------------------------------------------------------*/
+
+.jp-OutputArea-output.jp-OutputArea-executeResult {
+  margin-left: 0;
+  width: 100%;
+}
+
+/* Text output with the Out[] prompt needs a top padding to match the
+ * alignment of the Out[] prompt itself.
+ */
+.jp-OutputArea-executeResult .jp-RenderedText.jp-OutputArea-output {
+  padding-top: var(--jp-code-padding);
+  border-top: var(--jp-border-width) solid transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| The Stdin output
+|----------------------------------------------------------------------------*/
+
+.jp-Stdin-prompt {
+  color: var(--jp-content-font-color0);
+  padding-right: var(--jp-code-padding);
+  vertical-align: baseline;
+  flex: 0 0 auto;
+}
+
+.jp-Stdin-input {
+  font-family: var(--jp-code-font-family);
+  font-size: inherit;
+  color: inherit;
+  background-color: inherit;
+  width: 42%;
+  min-width: 200px;
+
+  /* make sure input baseline aligns with prompt */
+  vertical-align: baseline;
+
+  /* padding + margin = 0.5em between prompt and cursor */
+  padding: 0 0.25em;
+  margin: 0 0.25em;
+  flex: 0 0 70%;
+}
+
+.jp-Stdin-input::placeholder {
+  opacity: 0;
+}
+
+.jp-Stdin-input:focus {
+  box-shadow: none;
+}
+
+.jp-Stdin-input:focus::placeholder {
+  opacity: 1;
+}
+
+/*-----------------------------------------------------------------------------
+| Output Area View
+|----------------------------------------------------------------------------*/
+
+.jp-LinkedOutputView .jp-OutputArea {
+  height: 100%;
+  display: block;
+}
+
+.jp-LinkedOutputView .jp-OutputArea-output:only-child {
+  height: 100%;
+}
+
+/*-----------------------------------------------------------------------------
+| Printing
+|----------------------------------------------------------------------------*/
+
+@media print {
+  .jp-OutputArea-child {
+    break-inside: avoid-page;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Mobile
+|----------------------------------------------------------------------------*/
+@media only screen and (max-width: 760px) {
+  .jp-OutputPrompt {
+    display: table-row;
+    text-align: left;
+  }
+
+  .jp-OutputArea-child .jp-OutputArea-output {
+    display: table-row;
+    margin-left: var(--jp-notebook-padding);
+  }
+}
+
+/* Trimmed outputs warning */
+.jp-TrimmedOutputs > a {
+  margin: 10px;
+  text-decoration: none;
+  cursor: pointer;
+}
+
+.jp-TrimmedOutputs > a:hover {
+  text-decoration: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Table of Contents
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-toc-active-width: 4px;
+}
+
+.jp-TableOfContents {
+  display: flex;
+  flex-direction: column;
+  background: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  height: 100%;
+}
+
+.jp-TableOfContents-placeholder {
+  text-align: center;
+}
+
+.jp-TableOfContents-placeholderContent {
+  color: var(--jp-content-font-color2);
+  padding: 8px;
+}
+
+.jp-TableOfContents-placeholderContent > h3 {
+  margin-bottom: var(--jp-content-heading-margin-bottom);
+}
+
+.jp-TableOfContents .jp-SidePanel-content {
+  overflow-y: auto;
+}
+
+.jp-TableOfContents-tree {
+  margin: 4px;
+}
+
+.jp-TableOfContents ol {
+  list-style-type: none;
+}
+
+/* stylelint-disable-next-line selector-max-type */
+.jp-TableOfContents li > ol {
+  /* Align left border with triangle icon center */
+  padding-left: 11px;
+}
+
+.jp-TableOfContents-content {
+  /* left margin for the active heading indicator */
+  margin: 0 0 0 var(--jp-private-toc-active-width);
+  padding: 0;
+  background-color: var(--jp-layout-color1);
+}
+
+.jp-tocItem {
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.jp-tocItem-heading {
+  display: flex;
+  cursor: pointer;
+}
+
+.jp-tocItem-heading:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-tocItem-content {
+  display: block;
+  padding: 4px 0;
+  white-space: nowrap;
+  text-overflow: ellipsis;
+  overflow-x: hidden;
+}
+
+.jp-tocItem-collapser {
+  height: 20px;
+  margin: 2px 2px 0;
+  padding: 0;
+  background: none;
+  border: none;
+  cursor: pointer;
+}
+
+.jp-tocItem-collapser:hover {
+  background-color: var(--jp-layout-color3);
+}
+
+/* Active heading indicator */
+
+.jp-tocItem-heading::before {
+  content: ' ';
+  background: transparent;
+  width: var(--jp-private-toc-active-width);
+  height: 24px;
+  position: absolute;
+  left: 0;
+  border-radius: var(--jp-border-radius);
+}
+
+.jp-tocItem-heading.jp-tocItem-active::before {
+  background-color: var(--jp-brand-color1);
+}
+
+.jp-tocItem-heading:hover.jp-tocItem-active::before {
+  background: var(--jp-brand-color0);
+  opacity: 1;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Collapser {
+  flex: 0 0 var(--jp-cell-collapser-width);
+  padding: 0;
+  margin: 0;
+  border: none;
+  outline: none;
+  background: transparent;
+  border-radius: var(--jp-border-radius);
+  opacity: 1;
+}
+
+.jp-Collapser-child {
+  display: block;
+  width: 100%;
+  box-sizing: border-box;
+
+  /* height: 100% doesn't work because the height of its parent is computed from content */
+  position: absolute;
+  top: 0;
+  bottom: 0;
+}
+
+/*-----------------------------------------------------------------------------
+| Printing
+|----------------------------------------------------------------------------*/
+
+/*
+Hiding collapsers in print mode.
+
+Note: input and output wrappers have "display: block" propery in print mode.
+*/
+
+@media print {
+  .jp-Collapser {
+    display: none;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Header/Footer
+|----------------------------------------------------------------------------*/
+
+/* Hidden by zero height by default */
+.jp-CellHeader,
+.jp-CellFooter {
+  height: 0;
+  width: 100%;
+  padding: 0;
+  margin: 0;
+  border: none;
+  outline: none;
+  background: transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Input
+|----------------------------------------------------------------------------*/
+
+/* All input areas */
+.jp-InputArea {
+  display: table;
+  table-layout: fixed;
+  width: 100%;
+  overflow: hidden;
+}
+
+.jp-InputArea-editor {
+  display: table-cell;
+  overflow: hidden;
+  vertical-align: top;
+
+  /* This is the non-active, default styling */
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  border-radius: 0;
+  background: var(--jp-cell-editor-background);
+}
+
+.jp-InputPrompt {
+  display: table-cell;
+  vertical-align: top;
+  width: var(--jp-cell-prompt-width);
+  color: var(--jp-cell-inprompt-font-color);
+  font-family: var(--jp-cell-prompt-font-family);
+  padding: var(--jp-code-padding);
+  letter-spacing: var(--jp-cell-prompt-letter-spacing);
+  opacity: var(--jp-cell-prompt-opacity);
+  line-height: var(--jp-code-line-height);
+  font-size: var(--jp-code-font-size);
+  border: var(--jp-border-width) solid transparent;
+
+  /* Right align prompt text, don't wrap to handle large prompt numbers */
+  text-align: right;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+
+  /* Disable text selection */
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Mobile
+|----------------------------------------------------------------------------*/
+@media only screen and (max-width: 760px) {
+  .jp-InputArea-editor {
+    display: table-row;
+    margin-left: var(--jp-notebook-padding);
+  }
+
+  .jp-InputPrompt {
+    display: table-row;
+    text-align: left;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Placeholder
+|----------------------------------------------------------------------------*/
+
+.jp-Placeholder {
+  display: table;
+  table-layout: fixed;
+  width: 100%;
+}
+
+.jp-Placeholder-prompt {
+  display: table-cell;
+  box-sizing: border-box;
+}
+
+.jp-Placeholder-content {
+  display: table-cell;
+  padding: 4px 6px;
+  border: 1px solid transparent;
+  border-radius: 0;
+  background: none;
+  box-sizing: border-box;
+  cursor: pointer;
+}
+
+.jp-Placeholder-contentContainer {
+  display: flex;
+}
+
+.jp-Placeholder-content:hover,
+.jp-InputPlaceholder > .jp-Placeholder-content:hover {
+  border-color: var(--jp-layout-color3);
+}
+
+.jp-Placeholder-content .jp-MoreHorizIcon {
+  width: 32px;
+  height: 16px;
+  border: 1px solid transparent;
+  border-radius: var(--jp-border-radius);
+}
+
+.jp-Placeholder-content .jp-MoreHorizIcon:hover {
+  border: 1px solid var(--jp-border-color1);
+  box-shadow: 0 0 2px 0 rgba(0, 0, 0, 0.25);
+  background-color: var(--jp-layout-color0);
+}
+
+.jp-PlaceholderText {
+  white-space: nowrap;
+  overflow-x: hidden;
+  color: var(--jp-inverse-layout-color3);
+  font-family: var(--jp-code-font-family);
+}
+
+.jp-InputPlaceholder > .jp-Placeholder-content {
+  border-color: var(--jp-cell-editor-border-color);
+  background: var(--jp-cell-editor-background);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Private CSS variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-cell-scrolling-output-offset: 5px;
+}
+
+/*-----------------------------------------------------------------------------
+| Cell
+|----------------------------------------------------------------------------*/
+
+.jp-Cell {
+  padding: var(--jp-cell-padding);
+  margin: 0;
+  border: none;
+  outline: none;
+  background: transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| Common input/output
+|----------------------------------------------------------------------------*/
+
+.jp-Cell-inputWrapper,
+.jp-Cell-outputWrapper {
+  display: flex;
+  flex-direction: row;
+  padding: 0;
+  margin: 0;
+
+  /* Added to reveal the box-shadow on the input and output collapsers. */
+  overflow: visible;
+}
+
+/* Only input/output areas inside cells */
+.jp-Cell-inputArea,
+.jp-Cell-outputArea {
+  flex: 1 1 auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Collapser
+|----------------------------------------------------------------------------*/
+
+/* Make the output collapser disappear when there is not output, but do so
+ * in a manner that leaves it in the layout and preserves its width.
+ */
+.jp-Cell.jp-mod-noOutputs .jp-Cell-outputCollapser {
+  border: none !important;
+  background: transparent !important;
+}
+
+.jp-Cell:not(.jp-mod-noOutputs) .jp-Cell-outputCollapser {
+  min-height: var(--jp-cell-collapser-min-height);
+}
+
+/*-----------------------------------------------------------------------------
+| Output
+|----------------------------------------------------------------------------*/
+
+/* Put a space between input and output when there IS output */
+.jp-Cell:not(.jp-mod-noOutputs) .jp-Cell-outputWrapper {
+  margin-top: 5px;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea {
+  overflow-y: auto;
+  max-height: 24em;
+  margin-left: var(--jp-private-cell-scrolling-output-offset);
+  resize: vertical;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea[style*='height'] {
+  max-height: unset;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea::after {
+  content: ' ';
+  box-shadow: inset 0 0 6px 2px rgb(0 0 0 / 30%);
+  width: 100%;
+  height: 100%;
+  position: sticky;
+  bottom: 0;
+  top: 0;
+  margin-top: -50%;
+  float: left;
+  display: block;
+  pointer-events: none;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-child {
+  padding-top: 6px;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-prompt {
+  width: calc(
+    var(--jp-cell-prompt-width) - var(--jp-private-cell-scrolling-output-offset)
+  );
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-promptOverlay {
+  left: calc(-1 * var(--jp-private-cell-scrolling-output-offset));
+}
+
+/*-----------------------------------------------------------------------------
+| CodeCell
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| MarkdownCell
+|----------------------------------------------------------------------------*/
+
+.jp-MarkdownOutput {
+  display: table-cell;
+  width: 100%;
+  margin-top: 0;
+  margin-bottom: 0;
+  padding-left: var(--jp-code-padding);
+}
+
+.jp-MarkdownOutput.jp-RenderedHTMLCommon {
+  overflow: auto;
+}
+
+/* collapseHeadingButton (show always if hiddenCellsButton is _not_ shown) */
+.jp-collapseHeadingButton {
+  display: flex;
+  min-height: var(--jp-cell-collapser-min-height);
+  font-size: var(--jp-code-font-size);
+  position: absolute;
+  background-color: transparent;
+  background-size: 25px;
+  background-repeat: no-repeat;
+  background-position-x: center;
+  background-position-y: top;
+  background-image: var(--jp-icon-caret-down);
+  right: 0;
+  top: 0;
+  bottom: 0;
+}
+
+.jp-collapseHeadingButton.jp-mod-collapsed {
+  background-image: var(--jp-icon-caret-right);
+}
+
+/*
+ set the container font size to match that of content
+ so that the nested collapse buttons have the right size
+*/
+.jp-MarkdownCell .jp-InputPrompt {
+  font-size: var(--jp-content-font-size1);
+}
+
+/*
+  Align collapseHeadingButton with cell top header
+  The font sizes are identical to the ones in packages/rendermime/style/base.css
+*/
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='1'] {
+  font-size: var(--jp-content-font-size5);
+  background-position-y: calc(0.3 * var(--jp-content-font-size5));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='2'] {
+  font-size: var(--jp-content-font-size4);
+  background-position-y: calc(0.3 * var(--jp-content-font-size4));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='3'] {
+  font-size: var(--jp-content-font-size3);
+  background-position-y: calc(0.3 * var(--jp-content-font-size3));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='4'] {
+  font-size: var(--jp-content-font-size2);
+  background-position-y: calc(0.3 * var(--jp-content-font-size2));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='5'] {
+  font-size: var(--jp-content-font-size1);
+  background-position-y: top;
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='6'] {
+  font-size: var(--jp-content-font-size0);
+  background-position-y: top;
+}
+
+/* collapseHeadingButton (show only on (hover,active) if hiddenCellsButton is shown) */
+.jp-Notebook.jp-mod-showHiddenCellsButton .jp-collapseHeadingButton {
+  display: none;
+}
+
+.jp-Notebook.jp-mod-showHiddenCellsButton
+  :is(.jp-MarkdownCell:hover, .jp-mod-active)
+  .jp-collapseHeadingButton {
+  display: flex;
+}
+
+/* showHiddenCellsButton (only show if jp-mod-showHiddenCellsButton is set, which
+is a consequence of the showHiddenCellsButton option in Notebook Settings)*/
+.jp-Notebook.jp-mod-showHiddenCellsButton .jp-showHiddenCellsButton {
+  margin-left: calc(var(--jp-cell-prompt-width) + 2 * var(--jp-code-padding));
+  margin-top: var(--jp-code-padding);
+  border: 1px solid var(--jp-border-color2);
+  background-color: var(--jp-border-color3) !important;
+  color: var(--jp-content-font-color0) !important;
+  display: flex;
+}
+
+.jp-Notebook.jp-mod-showHiddenCellsButton .jp-showHiddenCellsButton:hover {
+  background-color: var(--jp-border-color2) !important;
+}
+
+.jp-showHiddenCellsButton {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Printing
+|----------------------------------------------------------------------------*/
+
+/*
+Using block instead of flex to allow the use of the break-inside CSS property for
+cell outputs.
+*/
+
+@media print {
+  .jp-Cell-inputWrapper,
+  .jp-Cell-outputWrapper {
+    display: block;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-notebook-toolbar-padding: 2px 5px 2px 2px;
+}
+
+/*-----------------------------------------------------------------------------
+
+/*-----------------------------------------------------------------------------
+| Styles
+|----------------------------------------------------------------------------*/
+
+.jp-NotebookPanel-toolbar {
+  padding: var(--jp-notebook-toolbar-padding);
+
+  /* disable paint containment from lumino 2.0 default strict CSS containment */
+  contain: style size !important;
+}
+
+.jp-Toolbar-item.jp-Notebook-toolbarCellType .jp-select-wrapper.jp-mod-focused {
+  border: none;
+  box-shadow: none;
+}
+
+.jp-Notebook-toolbarCellTypeDropdown select {
+  height: 24px;
+  font-size: var(--jp-ui-font-size1);
+  line-height: 14px;
+  border-radius: 0;
+  display: block;
+}
+
+.jp-Notebook-toolbarCellTypeDropdown span {
+  top: 5px !important;
+}
+
+.jp-Toolbar-responsive-popup {
+  position: absolute;
+  height: fit-content;
+  display: flex;
+  flex-direction: row;
+  flex-wrap: wrap;
+  justify-content: flex-end;
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  background: var(--jp-toolbar-background);
+  min-height: var(--jp-toolbar-micro-height);
+  padding: var(--jp-notebook-toolbar-padding);
+  z-index: 1;
+  right: 0;
+  top: 0;
+}
+
+.jp-Toolbar > .jp-Toolbar-responsive-opener {
+  margin-left: auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+
+/*-----------------------------------------------------------------------------
+| Styles
+|----------------------------------------------------------------------------*/
+
+.jp-Notebook-ExecutionIndicator {
+  position: relative;
+  display: inline-block;
+  height: 100%;
+  z-index: 9997;
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip {
+  visibility: hidden;
+  height: auto;
+  width: max-content;
+  width: -moz-max-content;
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color1);
+  text-align: justify;
+  border-radius: 6px;
+  padding: 0 5px;
+  position: fixed;
+  display: table;
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip.up {
+  transform: translateX(-50%) translateY(-100%) translateY(-32px);
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip.down {
+  transform: translateX(calc(-100% + 16px)) translateY(5px);
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip.hidden {
+  display: none;
+}
+
+.jp-Notebook-ExecutionIndicator:hover .jp-Notebook-ExecutionIndicator-tooltip {
+  visibility: visible;
+}
+
+.jp-Notebook-ExecutionIndicator span {
+  font-size: var(--jp-ui-font-size1);
+  font-family: var(--jp-ui-font-family);
+  color: var(--jp-ui-font-color1);
+  line-height: 24px;
+  display: block;
+}
+
+.jp-Notebook-ExecutionIndicator-progress-bar {
+  display: flex;
+  justify-content: center;
+  height: 100%;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*
+ * Execution indicator
+ */
+.jp-tocItem-content::after {
+  content: '';
+
+  /* Must be identical to form a circle */
+  width: 12px;
+  height: 12px;
+  background: none;
+  border: none;
+  position: absolute;
+  right: 0;
+}
+
+.jp-tocItem-content[data-running='0']::after {
+  border-radius: 50%;
+  border: var(--jp-border-width) solid var(--jp-inverse-layout-color3);
+  background: none;
+}
+
+.jp-tocItem-content[data-running='1']::after {
+  border-radius: 50%;
+  border: var(--jp-border-width) solid var(--jp-inverse-layout-color3);
+  background-color: var(--jp-inverse-layout-color3);
+}
+
+.jp-tocItem-content[data-running='0'],
+.jp-tocItem-content[data-running='1'] {
+  margin-right: 12px;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-Notebook-footer {
+  height: 27px;
+  margin-left: calc(
+    var(--jp-cell-prompt-width) + var(--jp-cell-collapser-width) +
+      var(--jp-cell-padding)
+  );
+  width: calc(
+    100% -
+      (
+        var(--jp-cell-prompt-width) + var(--jp-cell-collapser-width) +
+          var(--jp-cell-padding) + var(--jp-cell-padding)
+      )
+  );
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  color: var(--jp-ui-font-color3);
+  margin-top: 6px;
+  background: none;
+  cursor: pointer;
+}
+
+.jp-Notebook-footer:focus {
+  border-color: var(--jp-cell-editor-active-border-color);
+}
+
+/* For devices that support hovering, hide footer until hover */
+@media (hover: hover) {
+  .jp-Notebook-footer {
+    opacity: 0;
+  }
+
+  .jp-Notebook-footer:focus,
+  .jp-Notebook-footer:hover {
+    opacity: 1;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Imports
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| CSS variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-side-by-side-output-size: 1fr;
+  --jp-side-by-side-resized-cell: var(--jp-side-by-side-output-size);
+  --jp-private-notebook-dragImage-width: 304px;
+  --jp-private-notebook-dragImage-height: 36px;
+  --jp-private-notebook-selected-color: var(--md-blue-400);
+  --jp-private-notebook-active-color: var(--md-green-400);
+}
+
+/*-----------------------------------------------------------------------------
+| Notebook
+|----------------------------------------------------------------------------*/
+
+/* stylelint-disable selector-max-class */
+
+.jp-NotebookPanel {
+  display: block;
+  height: 100%;
+}
+
+.jp-NotebookPanel.jp-Document {
+  min-width: 240px;
+  min-height: 120px;
+}
+
+.jp-Notebook {
+  padding: var(--jp-notebook-padding);
+  outline: none;
+  overflow: auto;
+  background: var(--jp-layout-color0);
+}
+
+.jp-Notebook.jp-mod-scrollPastEnd::after {
+  display: block;
+  content: '';
+  min-height: var(--jp-notebook-scroll-padding);
+}
+
+.jp-MainAreaWidget-ContainStrict .jp-Notebook * {
+  contain: strict;
+}
+
+.jp-Notebook .jp-Cell {
+  overflow: visible;
+}
+
+.jp-Notebook .jp-Cell .jp-InputPrompt {
+  cursor: move;
+}
+
+/*-----------------------------------------------------------------------------
+| Notebook state related styling
+|
+| The notebook and cells each have states, here are the possibilities:
+|
+| - Notebook
+|   - Command
+|   - Edit
+| - Cell
+|   - None
+|   - Active (only one can be active)
+|   - Selected (the cells actions are applied to)
+|   - Multiselected (when multiple selected, the cursor)
+|   - No outputs
+|----------------------------------------------------------------------------*/
+
+/* Command or edit modes */
+
+.jp-Notebook .jp-Cell:not(.jp-mod-active) .jp-InputPrompt {
+  opacity: var(--jp-cell-prompt-not-active-opacity);
+  color: var(--jp-cell-prompt-not-active-font-color);
+}
+
+.jp-Notebook .jp-Cell:not(.jp-mod-active) .jp-OutputPrompt {
+  opacity: var(--jp-cell-prompt-not-active-opacity);
+  color: var(--jp-cell-prompt-not-active-font-color);
+}
+
+/* cell is active */
+.jp-Notebook .jp-Cell.jp-mod-active .jp-Collapser {
+  background: var(--jp-brand-color1);
+}
+
+/* cell is dirty */
+.jp-Notebook .jp-Cell.jp-mod-dirty .jp-InputPrompt {
+  color: var(--jp-warn-color1);
+}
+
+.jp-Notebook .jp-Cell.jp-mod-dirty .jp-InputPrompt::before {
+  color: var(--jp-warn-color1);
+  content: '•';
+}
+
+.jp-Notebook .jp-Cell.jp-mod-active.jp-mod-dirty .jp-Collapser {
+  background: var(--jp-warn-color1);
+}
+
+/* collapser is hovered */
+.jp-Notebook .jp-Cell .jp-Collapser:hover {
+  box-shadow: var(--jp-elevation-z2);
+  background: var(--jp-brand-color1);
+  opacity: var(--jp-cell-collapser-not-active-hover-opacity);
+}
+
+/* cell is active and collapser is hovered */
+.jp-Notebook .jp-Cell.jp-mod-active .jp-Collapser:hover {
+  background: var(--jp-brand-color0);
+  opacity: 1;
+}
+
+/* Command mode */
+
+.jp-Notebook.jp-mod-commandMode .jp-Cell.jp-mod-selected {
+  background: var(--jp-notebook-multiselected-color);
+}
+
+.jp-Notebook.jp-mod-commandMode
+  .jp-Cell.jp-mod-active.jp-mod-selected:not(.jp-mod-multiSelected) {
+  background: transparent;
+}
+
+/* Edit mode */
+
+.jp-Notebook.jp-mod-editMode .jp-Cell.jp-mod-active .jp-InputArea-editor {
+  border: var(--jp-border-width) solid var(--jp-cell-editor-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+  background-color: var(--jp-cell-editor-active-background);
+}
+
+/*-----------------------------------------------------------------------------
+| Notebook drag and drop
+|----------------------------------------------------------------------------*/
+
+.jp-Notebook-cell.jp-mod-dropSource {
+  opacity: 0.5;
+}
+
+.jp-Notebook-cell.jp-mod-dropTarget,
+.jp-Notebook.jp-mod-commandMode
+  .jp-Notebook-cell.jp-mod-active.jp-mod-selected.jp-mod-dropTarget {
+  border-top-color: var(--jp-private-notebook-selected-color);
+  border-top-style: solid;
+  border-top-width: 2px;
+}
+
+.jp-dragImage {
+  display: block;
+  flex-direction: row;
+  width: var(--jp-private-notebook-dragImage-width);
+  height: var(--jp-private-notebook-dragImage-height);
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  background: var(--jp-cell-editor-background);
+  overflow: visible;
+}
+
+.jp-dragImage-singlePrompt {
+  box-shadow: 2px 2px 4px 0 rgba(0, 0, 0, 0.12);
+}
+
+.jp-dragImage .jp-dragImage-content {
+  flex: 1 1 auto;
+  z-index: 2;
+  font-size: var(--jp-code-font-size);
+  font-family: var(--jp-code-font-family);
+  line-height: var(--jp-code-line-height);
+  padding: var(--jp-code-padding);
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  background: var(--jp-cell-editor-background-color);
+  color: var(--jp-content-font-color3);
+  text-align: left;
+  margin: 4px 4px 4px 0;
+}
+
+.jp-dragImage .jp-dragImage-prompt {
+  flex: 0 0 auto;
+  min-width: 36px;
+  color: var(--jp-cell-inprompt-font-color);
+  padding: var(--jp-code-padding);
+  padding-left: 12px;
+  font-family: var(--jp-cell-prompt-font-family);
+  letter-spacing: var(--jp-cell-prompt-letter-spacing);
+  line-height: 1.9;
+  font-size: var(--jp-code-font-size);
+  border: var(--jp-border-width) solid transparent;
+}
+
+.jp-dragImage-multipleBack {
+  z-index: -1;
+  position: absolute;
+  height: 32px;
+  width: 300px;
+  top: 8px;
+  left: 8px;
+  background: var(--jp-layout-color2);
+  border: var(--jp-border-width) solid var(--jp-input-border-color);
+  box-shadow: 2px 2px 4px 0 rgba(0, 0, 0, 0.12);
+}
+
+/*-----------------------------------------------------------------------------
+| Cell toolbar
+|----------------------------------------------------------------------------*/
+
+.jp-NotebookTools {
+  display: block;
+  min-width: var(--jp-sidebar-min-width);
+  color: var(--jp-ui-font-color1);
+  background: var(--jp-layout-color1);
+
+  /* This is needed so that all font sizing of children done in ems is
+    * relative to this base size */
+  font-size: var(--jp-ui-font-size1);
+  overflow: auto;
+}
+
+.jp-ActiveCellTool {
+  padding: 12px 0;
+  display: flex;
+}
+
+.jp-ActiveCellTool-Content {
+  flex: 1 1 auto;
+}
+
+.jp-ActiveCellTool .jp-ActiveCellTool-CellContent {
+  background: var(--jp-cell-editor-background);
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  border-radius: 0;
+  min-height: 29px;
+}
+
+.jp-ActiveCellTool .jp-InputPrompt {
+  min-width: calc(var(--jp-cell-prompt-width) * 0.75);
+}
+
+.jp-ActiveCellTool-CellContent > pre {
+  padding: 5px 4px;
+  margin: 0;
+  white-space: normal;
+}
+
+.jp-MetadataEditorTool {
+  flex-direction: column;
+  padding: 12px 0;
+}
+
+.jp-RankedPanel > :not(:first-child) {
+  margin-top: 12px;
+}
+
+.jp-KeySelector select.jp-mod-styled {
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color0);
+  border: var(--jp-border-width) solid var(--jp-border-color1);
+}
+
+.jp-KeySelector label,
+.jp-MetadataEditorTool label,
+.jp-NumberSetter label {
+  line-height: 1.4;
+}
+
+.jp-NotebookTools .jp-select-wrapper {
+  margin-top: 4px;
+  margin-bottom: 0;
+}
+
+.jp-NumberSetter input {
+  width: 100%;
+  margin-top: 4px;
+}
+
+.jp-NotebookTools .jp-Collapse {
+  margin-top: 16px;
+}
+
+/*-----------------------------------------------------------------------------
+| Presentation Mode (.jp-mod-presentationMode)
+|----------------------------------------------------------------------------*/
+
+.jp-mod-presentationMode .jp-Notebook {
+  --jp-content-font-size1: var(--jp-content-presentation-font-size1);
+  --jp-code-font-size: var(--jp-code-presentation-font-size);
+}
+
+.jp-mod-presentationMode .jp-Notebook .jp-Cell .jp-InputPrompt,
+.jp-mod-presentationMode .jp-Notebook .jp-Cell .jp-OutputPrompt {
+  flex: 0 0 110px;
+}
+
+/*-----------------------------------------------------------------------------
+| Side-by-side Mode (.jp-mod-sideBySide)
+|----------------------------------------------------------------------------*/
+.jp-mod-sideBySide.jp-Notebook .jp-Notebook-cell {
+  margin-top: 3em;
+  margin-bottom: 3em;
+  margin-left: 5%;
+  margin-right: 5%;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell {
+  display: grid;
+  grid-template-columns: minmax(0, 1fr) min-content minmax(
+      0,
+      var(--jp-side-by-side-output-size)
+    );
+  grid-template-rows: auto minmax(0, 1fr) auto;
+  grid-template-areas:
+    'header header header'
+    'input handle output'
+    'footer footer footer';
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell.jp-mod-resizedCell {
+  grid-template-columns: minmax(0, 1fr) min-content minmax(
+      0,
+      var(--jp-side-by-side-resized-cell)
+    );
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellHeader {
+  grid-area: header;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-Cell-inputWrapper {
+  grid-area: input;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-Cell-outputWrapper {
+  /* overwrite the default margin (no vertical separation needed in side by side move */
+  margin-top: 0;
+  grid-area: output;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellFooter {
+  grid-area: footer;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellResizeHandle {
+  grid-area: handle;
+  user-select: none;
+  display: block;
+  height: 100%;
+  cursor: ew-resize;
+  padding: 0 var(--jp-cell-padding);
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellResizeHandle::after {
+  content: '';
+  display: block;
+  background: var(--jp-border-color2);
+  height: 100%;
+  width: 5px;
+}
+
+.jp-mod-sideBySide.jp-Notebook
+  .jp-CodeCell.jp-mod-resizedCell
+  .jp-CellResizeHandle::after {
+  background: var(--jp-border-color0);
+}
+
+.jp-CellResizeHandle {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Placeholder
+|----------------------------------------------------------------------------*/
+
+.jp-Cell-Placeholder {
+  padding-left: 55px;
+}
+
+.jp-Cell-Placeholder-wrapper {
+  background: #fff;
+  border: 1px solid;
+  border-color: #e5e6e9 #dfe0e4 #d0d1d5;
+  border-radius: 4px;
+  -webkit-border-radius: 4px;
+  margin: 10px 15px;
+}
+
+.jp-Cell-Placeholder-wrapper-inner {
+  padding: 15px;
+  position: relative;
+}
+
+.jp-Cell-Placeholder-wrapper-body {
+  background-repeat: repeat;
+  background-size: 50% auto;
+}
+
+.jp-Cell-Placeholder-wrapper-body div {
+  background: #f6f7f8;
+  background-image: -webkit-linear-gradient(
+    left,
+    #f6f7f8 0%,
+    #edeef1 20%,
+    #f6f7f8 40%,
+    #f6f7f8 100%
+  );
+  background-repeat: no-repeat;
+  background-size: 800px 104px;
+  height: 104px;
+  position: absolute;
+  right: 15px;
+  left: 15px;
+  top: 15px;
+}
+
+div.jp-Cell-Placeholder-h1 {
+  top: 20px;
+  height: 20px;
+  left: 15px;
+  width: 150px;
+}
+
+div.jp-Cell-Placeholder-h2 {
+  left: 15px;
+  top: 50px;
+  height: 10px;
+  width: 100px;
+}
+
+div.jp-Cell-Placeholder-content-1,
+div.jp-Cell-Placeholder-content-2,
+div.jp-Cell-Placeholder-content-3 {
+  left: 15px;
+  right: 15px;
+  height: 10px;
+}
+
+div.jp-Cell-Placeholder-content-1 {
+  top: 100px;
+}
+
+div.jp-Cell-Placeholder-content-2 {
+  top: 120px;
+}
+
+div.jp-Cell-Placeholder-content-3 {
+  top: 140px;
+}
+
+</style>
+<style type="text/css">
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*
+The following CSS variables define the main, public API for styling JupyterLab.
+These variables should be used by all plugins wherever possible. In other
+words, plugins should not define custom colors, sizes, etc unless absolutely
+necessary. This enables users to change the visual theme of JupyterLab
+by changing these variables.
+
+Many variables appear in an ordered sequence (0,1,2,3). These sequences
+are designed to work well together, so for example, `--jp-border-color1` should
+be used with `--jp-layout-color1`. The numbers have the following meanings:
+
+* 0: super-primary, reserved for special emphasis
+* 1: primary, most important under normal situations
+* 2: secondary, next most important under normal situations
+* 3: tertiary, next most important under normal situations
+
+Throughout JupyterLab, we are mostly following principles from Google's
+Material Design when selecting colors. We are not, however, following
+all of MD as it is not optimized for dense, information rich UIs.
+*/
+
+:root {
+  /* Elevation
+   *
+   * We style box-shadows using Material Design's idea of elevation. These particular numbers are taken from here:
+   *
+   * https://github.com/material-components/material-components-web
+   * https://material-components-web.appspot.com/elevation.html
+   */
+
+  --jp-shadow-base-lightness: 0;
+  --jp-shadow-umbra-color: rgba(
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    0.2
+  );
+  --jp-shadow-penumbra-color: rgba(
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    0.14
+  );
+  --jp-shadow-ambient-color: rgba(
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    0.12
+  );
+  --jp-elevation-z0: none;
+  --jp-elevation-z1: 0 2px 1px -1px var(--jp-shadow-umbra-color),
+    0 1px 1px 0 var(--jp-shadow-penumbra-color),
+    0 1px 3px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z2: 0 3px 1px -2px var(--jp-shadow-umbra-color),
+    0 2px 2px 0 var(--jp-shadow-penumbra-color),
+    0 1px 5px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z4: 0 2px 4px -1px var(--jp-shadow-umbra-color),
+    0 4px 5px 0 var(--jp-shadow-penumbra-color),
+    0 1px 10px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z6: 0 3px 5px -1px var(--jp-shadow-umbra-color),
+    0 6px 10px 0 var(--jp-shadow-penumbra-color),
+    0 1px 18px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z8: 0 5px 5px -3px var(--jp-shadow-umbra-color),
+    0 8px 10px 1px var(--jp-shadow-penumbra-color),
+    0 3px 14px 2px var(--jp-shadow-ambient-color);
+  --jp-elevation-z12: 0 7px 8px -4px var(--jp-shadow-umbra-color),
+    0 12px 17px 2px var(--jp-shadow-penumbra-color),
+    0 5px 22px 4px var(--jp-shadow-ambient-color);
+  --jp-elevation-z16: 0 8px 10px -5px var(--jp-shadow-umbra-color),
+    0 16px 24px 2px var(--jp-shadow-penumbra-color),
+    0 6px 30px 5px var(--jp-shadow-ambient-color);
+  --jp-elevation-z20: 0 10px 13px -6px var(--jp-shadow-umbra-color),
+    0 20px 31px 3px var(--jp-shadow-penumbra-color),
+    0 8px 38px 7px var(--jp-shadow-ambient-color);
+  --jp-elevation-z24: 0 11px 15px -7px var(--jp-shadow-umbra-color),
+    0 24px 38px 3px var(--jp-shadow-penumbra-color),
+    0 9px 46px 8px var(--jp-shadow-ambient-color);
+
+  /* Borders
+   *
+   * The following variables, specify the visual styling of borders in JupyterLab.
+   */
+
+  --jp-border-width: 1px;
+  --jp-border-color0: var(--md-grey-400);
+  --jp-border-color1: var(--md-grey-400);
+  --jp-border-color2: var(--md-grey-300);
+  --jp-border-color3: var(--md-grey-200);
+  --jp-inverse-border-color: var(--md-grey-600);
+  --jp-border-radius: 2px;
+
+  /* UI Fonts
+   *
+   * The UI font CSS variables are used for the typography all of the JupyterLab
+   * user interface elements that are not directly user generated content.
+   *
+   * The font sizing here is done assuming that the body font size of --jp-ui-font-size1
+   * is applied to a parent element. When children elements, such as headings, are sized
+   * in em all things will be computed relative to that body size.
+   */
+
+  --jp-ui-font-scale-factor: 1.2;
+  --jp-ui-font-size0: 0.83333em;
+  --jp-ui-font-size1: 13px; /* Base font size */
+  --jp-ui-font-size2: 1.2em;
+  --jp-ui-font-size3: 1.44em;
+  --jp-ui-font-family: system-ui, -apple-system, blinkmacsystemfont, 'Segoe UI',
+    helvetica, arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji',
+    'Segoe UI Symbol';
+
+  /*
+   * Use these font colors against the corresponding main layout colors.
+   * In a light theme, these go from dark to light.
+   */
+
+  /* Defaults use Material Design specification */
+  --jp-ui-font-color0: rgba(0, 0, 0, 1);
+  --jp-ui-font-color1: rgba(0, 0, 0, 0.87);
+  --jp-ui-font-color2: rgba(0, 0, 0, 0.54);
+  --jp-ui-font-color3: rgba(0, 0, 0, 0.38);
+
+  /*
+   * Use these against the brand/accent/warn/error colors.
+   * These will typically go from light to darker, in both a dark and light theme.
+   */
+
+  --jp-ui-inverse-font-color0: rgba(255, 255, 255, 1);
+  --jp-ui-inverse-font-color1: rgba(255, 255, 255, 1);
+  --jp-ui-inverse-font-color2: rgba(255, 255, 255, 0.7);
+  --jp-ui-inverse-font-color3: rgba(255, 255, 255, 0.5);
+
+  /* Content Fonts
+   *
+   * Content font variables are used for typography of user generated content.
+   *
+   * The font sizing here is done assuming that the body font size of --jp-content-font-size1
+   * is applied to a parent element. When children elements, such as headings, are sized
+   * in em all things will be computed relative to that body size.
+   */
+
+  --jp-content-line-height: 1.6;
+  --jp-content-font-scale-factor: 1.2;
+  --jp-content-font-size0: 0.83333em;
+  --jp-content-font-size1: 14px; /* Base font size */
+  --jp-content-font-size2: 1.2em;
+  --jp-content-font-size3: 1.44em;
+  --jp-content-font-size4: 1.728em;
+  --jp-content-font-size5: 2.0736em;
+
+  /* This gives a magnification of about 125% in presentation mode over normal. */
+  --jp-content-presentation-font-size1: 17px;
+  --jp-content-heading-line-height: 1;
+  --jp-content-heading-margin-top: 1.2em;
+  --jp-content-heading-margin-bottom: 0.8em;
+  --jp-content-heading-font-weight: 500;
+
+  /* Defaults use Material Design specification */
+  --jp-content-font-color0: rgba(0, 0, 0, 1);
+  --jp-content-font-color1: rgba(0, 0, 0, 0.87);
+  --jp-content-font-color2: rgba(0, 0, 0, 0.54);
+  --jp-content-font-color3: rgba(0, 0, 0, 0.38);
+  --jp-content-link-color: var(--md-blue-900);
+  --jp-content-font-family: system-ui, -apple-system, blinkmacsystemfont,
+    'Segoe UI', helvetica, arial, sans-serif, 'Apple Color Emoji',
+    'Segoe UI Emoji', 'Segoe UI Symbol';
+
+  /*
+   * Code Fonts
+   *
+   * Code font variables are used for typography of code and other monospaces content.
+   */
+
+  --jp-code-font-size: 13px;
+  --jp-code-line-height: 1.3077; /* 17px for 13px base */
+  --jp-code-padding: 5px; /* 5px for 13px base, codemirror highlighting needs integer px value */
+  --jp-code-font-family-default: menlo, consolas, 'DejaVu Sans Mono', monospace;
+  --jp-code-font-family: var(--jp-code-font-family-default);
+
+  /* This gives a magnification of about 125% in presentation mode over normal. */
+  --jp-code-presentation-font-size: 16px;
+
+  /* may need to tweak cursor width if you change font size */
+  --jp-code-cursor-width0: 1.4px;
+  --jp-code-cursor-width1: 2px;
+  --jp-code-cursor-width2: 4px;
+
+  /* Layout
+   *
+   * The following are the main layout colors use in JupyterLab. In a light
+   * theme these would go from light to dark.
+   */
+
+  --jp-layout-color0: white;
+  --jp-layout-color1: white;
+  --jp-layout-color2: var(--md-grey-200);
+  --jp-layout-color3: var(--md-grey-400);
+  --jp-layout-color4: var(--md-grey-600);
+
+  /* Inverse Layout
+   *
+   * The following are the inverse layout colors use in JupyterLab. In a light
+   * theme these would go from dark to light.
+   */
+
+  --jp-inverse-layout-color0: #111;
+  --jp-inverse-layout-color1: var(--md-grey-900);
+  --jp-inverse-layout-color2: var(--md-grey-800);
+  --jp-inverse-layout-color3: var(--md-grey-700);
+  --jp-inverse-layout-color4: var(--md-grey-600);
+
+  /* Brand/accent */
+
+  --jp-brand-color0: var(--md-blue-900);
+  --jp-brand-color1: var(--md-blue-700);
+  --jp-brand-color2: var(--md-blue-300);
+  --jp-brand-color3: var(--md-blue-100);
+  --jp-brand-color4: var(--md-blue-50);
+  --jp-accent-color0: var(--md-green-900);
+  --jp-accent-color1: var(--md-green-700);
+  --jp-accent-color2: var(--md-green-300);
+  --jp-accent-color3: var(--md-green-100);
+
+  /* State colors (warn, error, success, info) */
+
+  --jp-warn-color0: var(--md-orange-900);
+  --jp-warn-color1: var(--md-orange-700);
+  --jp-warn-color2: var(--md-orange-300);
+  --jp-warn-color3: var(--md-orange-100);
+  --jp-error-color0: var(--md-red-900);
+  --jp-error-color1: var(--md-red-700);
+  --jp-error-color2: var(--md-red-300);
+  --jp-error-color3: var(--md-red-100);
+  --jp-success-color0: var(--md-green-900);
+  --jp-success-color1: var(--md-green-700);
+  --jp-success-color2: var(--md-green-300);
+  --jp-success-color3: var(--md-green-100);
+  --jp-info-color0: var(--md-cyan-900);
+  --jp-info-color1: var(--md-cyan-700);
+  --jp-info-color2: var(--md-cyan-300);
+  --jp-info-color3: var(--md-cyan-100);
+
+  /* Cell specific styles */
+
+  --jp-cell-padding: 5px;
+  --jp-cell-collapser-width: 8px;
+  --jp-cell-collapser-min-height: 20px;
+  --jp-cell-collapser-not-active-hover-opacity: 0.6;
+  --jp-cell-editor-background: var(--md-grey-100);
+  --jp-cell-editor-border-color: var(--md-grey-300);
+  --jp-cell-editor-box-shadow: inset 0 0 2px var(--md-blue-300);
+  --jp-cell-editor-active-background: var(--jp-layout-color0);
+  --jp-cell-editor-active-border-color: var(--jp-brand-color1);
+  --jp-cell-prompt-width: 64px;
+  --jp-cell-prompt-font-family: var(--jp-code-font-family-default);
+  --jp-cell-prompt-letter-spacing: 0;
+  --jp-cell-prompt-opacity: 1;
+  --jp-cell-prompt-not-active-opacity: 0.5;
+  --jp-cell-prompt-not-active-font-color: var(--md-grey-700);
+
+  /* A custom blend of MD grey and blue 600
+   * See https://meyerweb.com/eric/tools/color-blend/#546E7A:1E88E5:5:hex */
+  --jp-cell-inprompt-font-color: #307fc1;
+
+  /* A custom blend of MD grey and orange 600
+   * https://meyerweb.com/eric/tools/color-blend/#546E7A:F4511E:5:hex */
+  --jp-cell-outprompt-font-color: #bf5b3d;
+
+  /* Notebook specific styles */
+
+  --jp-notebook-padding: 10px;
+  --jp-notebook-select-background: var(--jp-layout-color1);
+  --jp-notebook-multiselected-color: var(--md-blue-50);
+
+  /* The scroll padding is calculated to fill enough space at the bottom of the
+  notebook to show one single-line cell (with appropriate padding) at the top
+  when the notebook is scrolled all the way to the bottom. We also subtract one
+  pixel so that no scrollbar appears if we have just one single-line cell in the
+  notebook. This padding is to enable a 'scroll past end' feature in a notebook.
+  */
+  --jp-notebook-scroll-padding: calc(
+    100% - var(--jp-code-font-size) * var(--jp-code-line-height) -
+      var(--jp-code-padding) - var(--jp-cell-padding) - 1px
+  );
+
+  /* Rendermime styles */
+
+  --jp-rendermime-error-background: #fdd;
+  --jp-rendermime-table-row-background: var(--md-grey-100);
+  --jp-rendermime-table-row-hover-background: var(--md-light-blue-50);
+
+  /* Dialog specific styles */
+
+  --jp-dialog-background: rgba(0, 0, 0, 0.25);
+
+  /* Console specific styles */
+
+  --jp-console-padding: 10px;
+
+  /* Toolbar specific styles */
+
+  --jp-toolbar-border-color: var(--jp-border-color1);
+  --jp-toolbar-micro-height: 8px;
+  --jp-toolbar-background: var(--jp-layout-color1);
+  --jp-toolbar-box-shadow: 0 0 2px 0 rgba(0, 0, 0, 0.24);
+  --jp-toolbar-header-margin: 4px 4px 0 4px;
+  --jp-toolbar-active-background: var(--md-grey-300);
+
+  /* Statusbar specific styles */
+
+  --jp-statusbar-height: 24px;
+
+  /* Input field styles */
+
+  --jp-input-box-shadow: inset 0 0 2px var(--md-blue-300);
+  --jp-input-active-background: var(--jp-layout-color1);
+  --jp-input-hover-background: var(--jp-layout-color1);
+  --jp-input-background: var(--md-grey-100);
+  --jp-input-border-color: var(--jp-inverse-border-color);
+  --jp-input-active-border-color: var(--jp-brand-color1);
+  --jp-input-active-box-shadow-color: rgba(19, 124, 189, 0.3);
+
+  /* General editor styles */
+
+  --jp-editor-selected-background: #d9d9d9;
+  --jp-editor-selected-focused-background: #d7d4f0;
+  --jp-editor-cursor-color: var(--jp-ui-font-color0);
+
+  /* Code mirror specific styles */
+
+  --jp-mirror-editor-keyword-color: #008000;
+  --jp-mirror-editor-atom-color: #88f;
+  --jp-mirror-editor-number-color: #080;
+  --jp-mirror-editor-def-color: #00f;
+  --jp-mirror-editor-variable-color: var(--md-grey-900);
+  --jp-mirror-editor-variable-2-color: rgb(0, 54, 109);
+  --jp-mirror-editor-variable-3-color: #085;
+  --jp-mirror-editor-punctuation-color: #05a;
+  --jp-mirror-editor-property-color: #05a;
+  --jp-mirror-editor-operator-color: #a2f;
+  --jp-mirror-editor-comment-color: #408080;
+  --jp-mirror-editor-string-color: #ba2121;
+  --jp-mirror-editor-string-2-color: #708;
+  --jp-mirror-editor-meta-color: #a2f;
+  --jp-mirror-editor-qualifier-color: #555;
+  --jp-mirror-editor-builtin-color: #008000;
+  --jp-mirror-editor-bracket-color: #997;
+  --jp-mirror-editor-tag-color: #170;
+  --jp-mirror-editor-attribute-color: #00c;
+  --jp-mirror-editor-header-color: blue;
+  --jp-mirror-editor-quote-color: #090;
+  --jp-mirror-editor-link-color: #00c;
+  --jp-mirror-editor-error-color: #f00;
+  --jp-mirror-editor-hr-color: #999;
+
+  /*
+    RTC user specific colors.
+    These colors are used for the cursor, username in the editor,
+    and the icon of the user.
+  */
+
+  --jp-collaborator-color1: #ffad8e;
+  --jp-collaborator-color2: #dac83d;
+  --jp-collaborator-color3: #72dd76;
+  --jp-collaborator-color4: #00e4d0;
+  --jp-collaborator-color5: #45d4ff;
+  --jp-collaborator-color6: #e2b1ff;
+  --jp-collaborator-color7: #ff9de6;
+
+  /* Vega extension styles */
+
+  --jp-vega-background: white;
+
+  /* Sidebar-related styles */
+
+  --jp-sidebar-min-width: 250px;
+
+  /* Search-related styles */
+
+  --jp-search-toggle-off-opacity: 0.5;
+  --jp-search-toggle-hover-opacity: 0.8;
+  --jp-search-toggle-on-opacity: 1;
+  --jp-search-selected-match-background-color: rgb(245, 200, 0);
+  --jp-search-selected-match-color: black;
+  --jp-search-unselected-match-background-color: var(
+    --jp-inverse-layout-color0
+  );
+  --jp-search-unselected-match-color: var(--jp-ui-inverse-font-color0);
+
+  /* Icon colors that work well with light or dark backgrounds */
+  --jp-icon-contrast-color0: var(--md-purple-600);
+  --jp-icon-contrast-color1: var(--md-green-600);
+  --jp-icon-contrast-color2: var(--md-pink-600);
+  --jp-icon-contrast-color3: var(--md-blue-600);
+
+  /* Button colors */
+  --jp-accept-color-normal: var(--md-blue-700);
+  --jp-accept-color-hover: var(--md-blue-800);
+  --jp-accept-color-active: var(--md-blue-900);
+  --jp-warn-color-normal: var(--md-red-700);
+  --jp-warn-color-hover: var(--md-red-800);
+  --jp-warn-color-active: var(--md-red-900);
+  --jp-reject-color-normal: var(--md-grey-600);
+  --jp-reject-color-hover: var(--md-grey-700);
+  --jp-reject-color-active: var(--md-grey-800);
+
+  /* File or activity icons and switch semantic variables */
+  --jp-jupyter-icon-color: #f37626;
+  --jp-notebook-icon-color: #f37626;
+  --jp-json-icon-color: var(--md-orange-700);
+  --jp-console-icon-background-color: var(--md-blue-700);
+  --jp-console-icon-color: white;
+  --jp-terminal-icon-background-color: var(--md-grey-800);
+  --jp-terminal-icon-color: var(--md-grey-200);
+  --jp-text-editor-icon-color: var(--md-grey-700);
+  --jp-inspector-icon-color: var(--md-grey-700);
+  --jp-switch-color: var(--md-grey-400);
+  --jp-switch-true-position-color: var(--md-orange-900);
+}
+</style>
+<style type="text/css">
+/* Force rendering true colors when outputing to pdf */
+* {
+  -webkit-print-color-adjust: exact;
+}
+
+/* Misc */
+a.anchor-link {
+  display: none;
+}
+
+/* Input area styling */
+.jp-InputArea {
+  overflow: hidden;
+}
+
+.jp-InputArea-editor {
+  overflow: hidden;
+}
+
+.cm-editor.cm-s-jupyter .highlight pre {
+/* weird, but --jp-code-padding defined to be 5px but 4px horizontal padding is hardcoded for pre.cm-line */
+  padding: var(--jp-code-padding) 4px;
+  margin: 0;
+
+  font-family: inherit;
+  font-size: inherit;
+  line-height: inherit;
+  color: inherit;
+
+}
+
+.jp-OutputArea-output pre {
+  line-height: inherit;
+  font-family: inherit;
+}
+
+.jp-RenderedText pre {
+  color: var(--jp-content-font-color1);
+  font-size: var(--jp-code-font-size);
+}
+
+/* Hiding the collapser by default */
+.jp-Collapser {
+  display: none;
+}
+
+@page {
+    margin: 0.5in; /* Margin for each printed piece of paper */
+}
+
+@media print {
+  .jp-Cell-inputWrapper,
+  .jp-Cell-outputWrapper {
+    display: block;
+  }
+}
+</style>
+<!-- Load mathjax -->
+<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/latest.js?config=TeX-AMS_CHTML-full,Safe"> </script>
+<!-- MathJax configuration -->
+<script type="text/x-mathjax-config">
+    init_mathjax = function() {
+        if (window.MathJax) {
+        // MathJax loaded
+            MathJax.Hub.Config({
+                TeX: {
+                    equationNumbers: {
+                    autoNumber: "AMS",
+                    useLabelIds: true
+                    }
+                },
+                tex2jax: {
+                    inlineMath: [ ['$','$'], ["\\(","\\)"] ],
+                    displayMath: [ ['$$','$$'], ["\\[","\\]"] ],
+                    processEscapes: true,
+                    processEnvironments: true
+                },
+                displayAlign: 'center',
+                CommonHTML: {
+                    linebreaks: {
+                    automatic: true
+                    }
+                }
+            });
+
+            MathJax.Hub.Queue(["Typeset", MathJax.Hub]);
+        }
+    }
+    init_mathjax();
+    </script>
+<!-- End of mathjax configuration --><script type="module">
+  document.addEventListener("DOMContentLoaded", async () => {
+    const diagrams = document.querySelectorAll(".jp-Mermaid > pre.mermaid");
+    // do not load mermaidjs if not needed
+    if (!diagrams.length) {
+      return;
+    }
+    const mermaid = (await import("https://cdnjs.cloudflare.com/ajax/libs/mermaid/10.6.0/mermaid.esm.min.mjs")).default;
+    const parser = new DOMParser();
+
+    mermaid.initialize({
+      maxTextSize: 100000,
+      startOnLoad: false,
+      fontFamily: window
+        .getComputedStyle(document.body)
+        .getPropertyValue("--jp-ui-font-family"),
+      theme: document.querySelector("body[data-jp-theme-light='true']")
+        ? "default"
+        : "dark",
+    });
+
+    let _nextMermaidId = 0;
+
+    function makeMermaidImage(svg) {
+      const img = document.createElement("img");
+      const doc = parser.parseFromString(svg, "image/svg+xml");
+      const svgEl = doc.querySelector("svg");
+      const { maxWidth } = svgEl?.style || {};
+      const firstTitle = doc.querySelector("title");
+      const firstDesc = doc.querySelector("desc");
+
+      img.setAttribute("src", `data:image/svg+xml,${encodeURIComponent(svg)}`);
+      if (maxWidth) {
+        img.width = parseInt(maxWidth);
+      }
+      if (firstTitle) {
+        img.setAttribute("alt", firstTitle.textContent);
+      }
+      if (firstDesc) {
+        const caption = document.createElement("figcaption");
+        caption.className = "sr-only";
+        caption.textContent = firstDesc.textContent;
+        return [img, caption];
+      }
+      return [img];
+    }
+
+    async function makeMermaidError(text) {
+      let errorMessage = "";
+      try {
+        await mermaid.parse(text);
+      } catch (err) {
+        errorMessage = `${err}`;
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+<body class="jp-Notebook" data-jp-theme-light="true" data-jp-theme-name="JupyterLab Light">
+<main>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h1 id="Faster-Feature-Location-Through-Parallel-Computation">Faster Feature Location Through Parallel Computation<a class="anchor-link" href="#Faster-Feature-Location-Through-Parallel-Computation">¶</a></h1><p>Feature-finding can easily be parallelized: each frame an independent task, and the tasks can be divided among the multiple CPU cores in most modern computers. Instead of running in a single process as usual, your code is spread across multiple "worker" processes, each running on its own CPU core.</p>
+<p>First, let's set up the movie to track:</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [1]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">pims</span>
+<span class="kn">import</span> <span class="nn">trackpy</span> <span class="k">as</span> <span class="nn">tp</span>
+
+<span class="nd">@pims</span><span class="o">.</span><span class="n">pipeline</span>
+<span class="k">def</span> <span class="nf">gray</span><span class="p">(</span><span class="n">image</span><span class="p">):</span>
+    <span class="k">return</span> <span class="n">image</span><span class="p">[:,</span> <span class="p">:,</span> <span class="mi">1</span><span class="p">]</span>
+
+<span class="n">frames</span> <span class="o">=</span> <span class="n">gray</span><span class="p">(</span><span class="n">pims</span><span class="o">.</span><span class="n">ImageSequence</span><span class="p">(</span><span class="s1">'../sample_data/bulk_water/*.png'</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [2]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">tp</span><span class="o">.</span><span class="n">quiet</span><span class="p">()</span>  <span class="c1"># Disabling progress reports makes this a fairer comparison</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h1 id="Using-trackpy.batch">Using trackpy.batch<a class="anchor-link" href="#Using-trackpy.batch">¶</a></h1><p>Beginning with trackpy v0.4.2, use the "processes" argument to have <code>trackpy.batch</code> run on multiple CPU cores at once (using Python's built-in multiprocessing module). Give the number of cores you want to use, or specify <code>'auto'</code> to let trackpy detect how many cores your computer has.</p>
+<p>Let's compare the time required to process the first 100 frames:</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [6]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="o">%%time</span>it
+<span class="n">features</span> <span class="o">=</span> <span class="n">tp</span><span class="o">.</span><span class="n">batch</span><span class="p">(</span><span class="n">frames</span><span class="p">[:</span><span class="mi">100</span><span class="p">],</span> <span class="mi">13</span><span class="p">,</span> <span class="n">invert</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">processes</span><span class="o">=</span><span class="s1">'auto'</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>2.33 s ± 55.2 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)
+</pre>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>For comparison, here's the same thing running in a single process. This was run on a laptop with only 2 cores, so we should expect <code>batch</code> to take roughly twice as long as the parallel version:</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [8]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="o">%%time</span>it
+<span class="n">features</span> <span class="o">=</span> <span class="n">tp</span><span class="o">.</span><span class="n">batch</span><span class="p">(</span><span class="n">frames</span><span class="p">[:</span><span class="mi">100</span><span class="p">],</span> <span class="mi">13</span><span class="p">,</span> <span class="n">invert</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>4.93 s ± 110 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)
+</pre>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h1 id="Using-IPython-Parallel">Using IPython Parallel<a class="anchor-link" href="#Using-IPython-Parallel">¶</a></h1><p>Using <a href="https://github.com/ipython/ipyparallel">IPython parallel</a> is a little more involved, but it gives you a lot of flexibility if you need to go beyond <code>batch</code>, for example by having the parallel workers run your own custom image processing. It also works with all versions of trackpy.</p>
+<h2 id="Install-ipyparallel-and-start-a-cluster">Install ipyparallel and start a cluster<a class="anchor-link" href="#Install-ipyparallel-and-start-a-cluster">¶</a></h2><p>As of IPython 6.2 (November 2017), IPython parallel is a separate package. If you are not using a comprehensive distribution like Anaconda, you may need to install this package at the command prompt using <code>pip install ipyparallel</code> or <code>conda install ipyparallel</code>.</p>
+<p>It is simplest to start a cluster on the CPUs of your local machine. In order to start a cluster, you will need to go to a Terminal and type:</p>
+<pre><code>ipcluster start
+</code></pre>
+<p>This automatically uses all available CPU cores, but you can also use the <code>-n</code> option to specify how many workers to start. Now you are running a cluster — it's that easy! More information on IPython parallel is available in <a href="http://ipyparallel.readthedocs.io/en/latest/intro.html">the IPython parallel documentation</a>.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [10]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="kn">from</span> <span class="nn">ipyparallel</span> <span class="kn">import</span> <span class="n">Client</span>
+<span class="n">client</span> <span class="o">=</span> <span class="n">Client</span><span class="p">()</span>
+<span class="n">view</span> <span class="o">=</span> <span class="n">client</span><span class="o">.</span><span class="n">load_balanced_view</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>We can see that there are four cores available.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [11]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">client</span><span class="p">[:]</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child jp-OutputArea-executeResult">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[11]:</div>
+<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
+<pre>&lt;DirectView [0, 1, 2, 3]&gt;</pre>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>Use a little magic, <code>%%px</code>, to import trackpy on all cores.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [12]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="o">%%</span><span class="k">px</span>
+import trackpy as tp
+tp.quiet()
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="Use-the-workers-to-locate-features">Use the workers to locate features<a class="anchor-link" href="#Use-the-workers-to-locate-features">¶</a></h2><p>Define a function from <code>locate</code> with all the parameters specified, so the function's only argument is the image to be analyzed. We can map this function directly onto our collection of images. (This is a called "currying" a function, hence the choice of name.)</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [13]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">curried_locate</span> <span class="o">=</span> <span class="k">lambda</span> <span class="n">image</span><span class="p">:</span> <span class="n">tp</span><span class="o">.</span><span class="n">locate</span><span class="p">(</span><span class="n">image</span><span class="p">,</span> <span class="mi">13</span><span class="p">,</span> <span class="n">invert</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [14]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">view</span><span class="o">.</span><span class="n">map</span><span class="p">(</span><span class="n">curried_locate</span><span class="p">,</span> <span class="n">frames</span><span class="p">[:</span><span class="mi">4</span><span class="p">])</span>  <span class="c1"># Optionally, prime each engine: make it set up numba.</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child jp-OutputArea-executeResult">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[14]:</div>
+<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
+<pre>&lt;AsyncMapResult: &lt;lambda&gt;&gt;</pre>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>Compare the time it takes to locate features in the first 100 images with and without parallelization.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [15]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="o">%%time</span>it
+<span class="n">amr</span> <span class="o">=</span> <span class="n">view</span><span class="o">.</span><span class="n">map_async</span><span class="p">(</span><span class="n">curried_locate</span><span class="p">,</span> <span class="n">frames</span><span class="p">[:</span><span class="mi">100</span><span class="p">])</span>
+<span class="n">amr</span><span class="o">.</span><span class="n">wait_interactive</span><span class="p">()</span>
+<span class="n">results</span> <span class="o">=</span> <span class="n">amr</span><span class="o">.</span><span class="n">get</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre> 100/100 tasks finished after    2 s
+done
+2.9 s ± 195 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)
+</pre>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [16]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="o">%%time</span>it
+<span class="n">serial_result</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="nb">map</span><span class="p">(</span><span class="n">curried_locate</span><span class="p">,</span> <span class="n">frames</span><span class="p">[:</span><span class="mi">100</span><span class="p">]))</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>3.9 s ± 58.9 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)
+</pre>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>Finally, if we want to get output similar to <code>batch</code>, we collect the results into a single DataFrame:</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [17]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+
+<span class="n">amr</span> <span class="o">=</span> <span class="n">view</span><span class="o">.</span><span class="n">map_async</span><span class="p">(</span><span class="n">curried_locate</span><span class="p">,</span> <span class="n">frames</span><span class="p">[:</span><span class="mi">100</span><span class="p">])</span>
+<span class="n">amr</span><span class="o">.</span><span class="n">wait_interactive</span><span class="p">()</span>
+<span class="n">results</span> <span class="o">=</span> <span class="n">amr</span><span class="o">.</span><span class="n">get</span><span class="p">()</span>
+
+<span class="n">features_ipy</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">concat</span><span class="p">(</span><span class="n">results</span><span class="p">,</span> <span class="n">ignore_index</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+<span class="n">features_ipy</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre> 100/100 tasks finished after    2 s
+done
+</pre>
+</div>
+</div>
+<div class="jp-OutputArea-child jp-OutputArea-executeResult">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[17]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
+<div>
+<style scoped="">
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+<thead>
+<tr style="text-align: right;">
+<th></th>
+<th>y</th>
+<th>x</th>
+<th>mass</th>
+<th>size</th>
+<th>ecc</th>
+<th>signal</th>
+<th>raw_mass</th>
+<th>ep</th>
+<th>frame</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td>0</td>
+<td>5.728435</td>
+<td>295.067222</td>
+<td>297.073839</td>
+<td>2.499673</td>
+<td>0.230136</td>
+<td>16.877187</td>
+<td>14760.0</td>
+<td>0.081197</td>
+<td>0</td>
+</tr>
+<tr>
+<td>1</td>
+<td>5.918431</td>
+<td>339.195418</td>
+<td>254.571603</td>
+<td>2.979975</td>
+<td>0.300296</td>
+<td>13.077611</td>
+<td>14693.0</td>
+<td>0.089778</td>
+<td>0</td>
+</tr>
+<tr>
+<td>2</td>
+<td>6.782609</td>
+<td>309.578502</td>
+<td>219.491795</td>
+<td>3.551496</td>
+<td>0.137154</td>
+<td>4.506474</td>
+<td>14508.0</td>
+<td>0.126768</td>
+<td>0</td>
+</tr>
+<tr>
+<td>3</td>
+<td>7.380101</td>
+<td>431.548351</td>
+<td>474.240123</td>
+<td>2.852436</td>
+<td>0.358819</td>
+<td>16.877187</td>
+<td>15011.0</td>
+<td>0.059789</td>
+<td>0</td>
+</tr>
+<tr>
+<td>4</td>
+<td>8.202306</td>
+<td>36.250343</td>
+<td>321.903627</td>
+<td>2.882596</td>
+<td>0.173362</td>
+<td>10.603468</td>
+<td>15401.0</td>
+<td>0.042414</td>
+<td>0</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+</div>
+</div>
+</div>
+</main>
+</body>
+</html>
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
+        
+<div id="sourcelink">
+  <a href="../_sources/tutorial/parallel-locate.rst.txt"
+     rel="nofollow">Source</a>
+</div>
+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
+      Created using <a href="http://sphinx-doc.org/">Sphinx</a> 5.0.2.<br/>
+    </p>
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+  </body>
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diff --git a/trackpy/v0.6.2/tutorial/performance.html b/trackpy/v0.6.2/tutorial/performance.html
new file mode 100644
index 00000000..fd0b984f
--- /dev/null
+++ b/trackpy/v0.6.2/tutorial/performance.html
@@ -0,0 +1,8266 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
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+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>performance &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
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+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
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+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="on-disk.html">Streaming</a></li>
+<li class="toctree-l1 current"><a class="current reference internal" href="#">Performance</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
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+      
+  <section id="performance">
+<h1>performance<a class="headerlink" href="#performance" title="Permalink to this heading">¶</a></h1>
+<!DOCTYPE html>
+
+<html lang="en">
+<head><meta charset="utf-8"/>
+<meta content="width=device-width, initial-scale=1.0" name="viewport"/>
+<title>performance</title><script src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.1.10/require.min.js"></script>
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+
+.lm-ScrollBar-thumb:hover {
+  background: #bababa;
+}
+
+.lm-ScrollBar-thumb.lm-mod-active {
+  background: #a0a0a0;
+}
+
+.lm-ScrollBar[data-orientation='horizontal'] .lm-ScrollBar-thumb {
+  height: 100%;
+  min-width: 15px;
+  border-left: 1px solid #a0a0a0;
+  border-right: 1px solid #a0a0a0;
+}
+
+.lm-ScrollBar[data-orientation='vertical'] .lm-ScrollBar-thumb {
+  width: 100%;
+  min-height: 15px;
+  border-top: 1px solid #a0a0a0;
+  border-bottom: 1px solid #a0a0a0;
+}
+
+.lm-ScrollBar[data-orientation='horizontal']
+  .lm-ScrollBar-button[data-action='decrement'] {
+  background-image: var(--jp-icon-caret-left);
+  background-size: 17px;
+}
+
+.lm-ScrollBar[data-orientation='horizontal']
+  .lm-ScrollBar-button[data-action='increment'] {
+  background-image: var(--jp-icon-caret-right);
+  background-size: 17px;
+}
+
+.lm-ScrollBar[data-orientation='vertical']
+  .lm-ScrollBar-button[data-action='decrement'] {
+  background-image: var(--jp-icon-caret-up);
+  background-size: 17px;
+}
+
+.lm-ScrollBar[data-orientation='vertical']
+  .lm-ScrollBar-button[data-action='increment'] {
+  background-image: var(--jp-icon-caret-down);
+  background-size: 17px;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-Widget {
+  box-sizing: border-box;
+  position: relative;
+  overflow: hidden;
+}
+
+.lm-Widget.lm-mod-hidden {
+  display: none !important;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.lm-AccordionPanel[data-orientation='horizontal'] > .lm-AccordionPanel-title {
+  /* Title is rotated for horizontal accordion panel using CSS */
+  display: block;
+  transform-origin: top left;
+  transform: rotate(-90deg) translate(-100%);
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette {
+  display: flex;
+  flex-direction: column;
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.lm-CommandPalette-search {
+  flex: 0 0 auto;
+}
+
+.lm-CommandPalette-content {
+  flex: 1 1 auto;
+  margin: 0;
+  padding: 0;
+  min-height: 0;
+  overflow: auto;
+  list-style-type: none;
+}
+
+.lm-CommandPalette-header {
+  overflow: hidden;
+  white-space: nowrap;
+  text-overflow: ellipsis;
+}
+
+.lm-CommandPalette-item {
+  display: flex;
+  flex-direction: row;
+}
+
+.lm-CommandPalette-itemIcon {
+  flex: 0 0 auto;
+}
+
+.lm-CommandPalette-itemContent {
+  flex: 1 1 auto;
+  overflow: hidden;
+}
+
+.lm-CommandPalette-itemShortcut {
+  flex: 0 0 auto;
+}
+
+.lm-CommandPalette-itemLabel {
+  overflow: hidden;
+  white-space: nowrap;
+  text-overflow: ellipsis;
+}
+
+.lm-close-icon {
+  border: 1px solid transparent;
+  background-color: transparent;
+  position: absolute;
+  z-index: 1;
+  right: 3%;
+  top: 0;
+  bottom: 0;
+  margin: auto;
+  padding: 7px 0;
+  display: none;
+  vertical-align: middle;
+  outline: 0;
+  cursor: pointer;
+}
+.lm-close-icon:after {
+  content: 'X';
+  display: block;
+  width: 15px;
+  height: 15px;
+  text-align: center;
+  color: #000;
+  font-weight: normal;
+  font-size: 12px;
+  cursor: pointer;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-DockPanel {
+  z-index: 0;
+}
+
+.lm-DockPanel-widget {
+  z-index: 0;
+}
+
+.lm-DockPanel-tabBar {
+  z-index: 1;
+}
+
+.lm-DockPanel-handle {
+  z-index: 2;
+}
+
+.lm-DockPanel-handle.lm-mod-hidden {
+  display: none !important;
+}
+
+.lm-DockPanel-handle:after {
+  position: absolute;
+  top: 0;
+  left: 0;
+  width: 100%;
+  height: 100%;
+  content: '';
+}
+
+.lm-DockPanel-handle[data-orientation='horizontal'] {
+  cursor: ew-resize;
+}
+
+.lm-DockPanel-handle[data-orientation='vertical'] {
+  cursor: ns-resize;
+}
+
+.lm-DockPanel-handle[data-orientation='horizontal']:after {
+  left: 50%;
+  min-width: 8px;
+  transform: translateX(-50%);
+}
+
+.lm-DockPanel-handle[data-orientation='vertical']:after {
+  top: 50%;
+  min-height: 8px;
+  transform: translateY(-50%);
+}
+
+.lm-DockPanel-overlay {
+  z-index: 3;
+  box-sizing: border-box;
+  pointer-events: none;
+}
+
+.lm-DockPanel-overlay.lm-mod-hidden {
+  display: none !important;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-Menu {
+  z-index: 10000;
+  position: absolute;
+  white-space: nowrap;
+  overflow-x: hidden;
+  overflow-y: auto;
+  outline: none;
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.lm-Menu-content {
+  margin: 0;
+  padding: 0;
+  display: table;
+  list-style-type: none;
+}
+
+.lm-Menu-item {
+  display: table-row;
+}
+
+.lm-Menu-item.lm-mod-hidden,
+.lm-Menu-item.lm-mod-collapsed {
+  display: none !important;
+}
+
+.lm-Menu-itemIcon,
+.lm-Menu-itemSubmenuIcon {
+  display: table-cell;
+  text-align: center;
+}
+
+.lm-Menu-itemLabel {
+  display: table-cell;
+  text-align: left;
+}
+
+.lm-Menu-itemShortcut {
+  display: table-cell;
+  text-align: right;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-MenuBar {
+  outline: none;
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.lm-MenuBar-content {
+  margin: 0;
+  padding: 0;
+  display: flex;
+  flex-direction: row;
+  list-style-type: none;
+}
+
+.lm-MenuBar-item {
+  box-sizing: border-box;
+}
+
+.lm-MenuBar-itemIcon,
+.lm-MenuBar-itemLabel {
+  display: inline-block;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-ScrollBar {
+  display: flex;
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.lm-ScrollBar[data-orientation='horizontal'] {
+  flex-direction: row;
+}
+
+.lm-ScrollBar[data-orientation='vertical'] {
+  flex-direction: column;
+}
+
+.lm-ScrollBar-button {
+  box-sizing: border-box;
+  flex: 0 0 auto;
+}
+
+.lm-ScrollBar-track {
+  box-sizing: border-box;
+  position: relative;
+  overflow: hidden;
+  flex: 1 1 auto;
+}
+
+.lm-ScrollBar-thumb {
+  box-sizing: border-box;
+  position: absolute;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-SplitPanel-child {
+  z-index: 0;
+}
+
+.lm-SplitPanel-handle {
+  z-index: 1;
+}
+
+.lm-SplitPanel-handle.lm-mod-hidden {
+  display: none !important;
+}
+
+.lm-SplitPanel-handle:after {
+  position: absolute;
+  top: 0;
+  left: 0;
+  width: 100%;
+  height: 100%;
+  content: '';
+}
+
+.lm-SplitPanel[data-orientation='horizontal'] > .lm-SplitPanel-handle {
+  cursor: ew-resize;
+}
+
+.lm-SplitPanel[data-orientation='vertical'] > .lm-SplitPanel-handle {
+  cursor: ns-resize;
+}
+
+.lm-SplitPanel[data-orientation='horizontal'] > .lm-SplitPanel-handle:after {
+  left: 50%;
+  min-width: 8px;
+  transform: translateX(-50%);
+}
+
+.lm-SplitPanel[data-orientation='vertical'] > .lm-SplitPanel-handle:after {
+  top: 50%;
+  min-height: 8px;
+  transform: translateY(-50%);
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-TabBar {
+  display: flex;
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.lm-TabBar[data-orientation='horizontal'] {
+  flex-direction: row;
+  align-items: flex-end;
+}
+
+.lm-TabBar[data-orientation='vertical'] {
+  flex-direction: column;
+  align-items: flex-end;
+}
+
+.lm-TabBar-content {
+  margin: 0;
+  padding: 0;
+  display: flex;
+  flex: 1 1 auto;
+  list-style-type: none;
+}
+
+.lm-TabBar[data-orientation='horizontal'] > .lm-TabBar-content {
+  flex-direction: row;
+}
+
+.lm-TabBar[data-orientation='vertical'] > .lm-TabBar-content {
+  flex-direction: column;
+}
+
+.lm-TabBar-tab {
+  display: flex;
+  flex-direction: row;
+  box-sizing: border-box;
+  overflow: hidden;
+  touch-action: none; /* Disable native Drag/Drop */
+}
+
+.lm-TabBar-tabIcon,
+.lm-TabBar-tabCloseIcon {
+  flex: 0 0 auto;
+}
+
+.lm-TabBar-tabLabel {
+  flex: 1 1 auto;
+  overflow: hidden;
+  white-space: nowrap;
+}
+
+.lm-TabBar-tabInput {
+  user-select: all;
+  width: 100%;
+  box-sizing: border-box;
+}
+
+.lm-TabBar-tab.lm-mod-hidden {
+  display: none !important;
+}
+
+.lm-TabBar-addButton.lm-mod-hidden {
+  display: none !important;
+}
+
+.lm-TabBar.lm-mod-dragging .lm-TabBar-tab {
+  position: relative;
+}
+
+.lm-TabBar.lm-mod-dragging[data-orientation='horizontal'] .lm-TabBar-tab {
+  left: 0;
+  transition: left 150ms ease;
+}
+
+.lm-TabBar.lm-mod-dragging[data-orientation='vertical'] .lm-TabBar-tab {
+  top: 0;
+  transition: top 150ms ease;
+}
+
+.lm-TabBar.lm-mod-dragging .lm-TabBar-tab.lm-mod-dragging {
+  transition: none;
+}
+
+.lm-TabBar-tabLabel .lm-TabBar-tabInput {
+  user-select: all;
+  width: 100%;
+  box-sizing: border-box;
+  background: inherit;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-TabPanel-tabBar {
+  z-index: 1;
+}
+
+.lm-TabPanel-stackedPanel {
+  z-index: 0;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Collapse {
+  display: flex;
+  flex-direction: column;
+  align-items: stretch;
+}
+
+.jp-Collapse-header {
+  padding: 1px 12px;
+  background-color: var(--jp-layout-color1);
+  border-bottom: solid var(--jp-border-width) var(--jp-border-color2);
+  color: var(--jp-ui-font-color1);
+  cursor: pointer;
+  display: flex;
+  align-items: center;
+  font-size: var(--jp-ui-font-size0);
+  font-weight: 600;
+  text-transform: uppercase;
+  user-select: none;
+}
+
+.jp-Collapser-icon {
+  height: 16px;
+}
+
+.jp-Collapse-header-collapsed .jp-Collapser-icon {
+  transform: rotate(-90deg);
+  margin: auto 0;
+}
+
+.jp-Collapser-title {
+  line-height: 25px;
+}
+
+.jp-Collapse-contents {
+  padding: 0 12px;
+  background-color: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  overflow: auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/* This file was auto-generated by ensureUiComponents() in @jupyterlab/buildutils */
+
+/**
+ * (DEPRECATED) Support for consuming icons as CSS background images
+ */
+
+/* Icons urls */
+
+:root {
+  --jp-icon-add-above: url(data:image/svg+xml;base64,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);
+  --jp-icon-add-below: url(data:image/svg+xml;base64,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);
+  --jp-icon-add: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE5IDEzaC02djZoLTJ2LTZINXYtMmg2VjVoMnY2aDZ2MnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-bell: url(data:image/svg+xml;base64,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);
+  --jp-icon-bug-dot: url(data:image/svg+xml;base64,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);
+  --jp-icon-bug: url(data:image/svg+xml;base64,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);
+  --jp-icon-build: url(data:image/svg+xml;base64,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);
+  --jp-icon-caret-down-empty-thin: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwIDIwIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwb2x5Z29uIGNsYXNzPSJzdDEiIHBvaW50cz0iOS45LDEzLjYgMy42LDcuNCA0LjQsNi42IDkuOSwxMi4yIDE1LjQsNi43IDE2LjEsNy40ICIvPgoJPC9nPgo8L3N2Zz4K);
+  --jp-icon-caret-down-empty: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik01LjIsNS45TDksOS43bDMuOC0zLjhsMS4yLDEuMmwtNC45LDVsLTQuOS01TDUuMiw1Ljl6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-caret-down: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik01LjIsNy41TDksMTEuMmwzLjgtMy44SDUuMnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-caret-left: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwYXRoIGQ9Ik0xMC44LDEyLjhMNy4xLDlsMy44LTMuOGwwLDcuNkgxMC44eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-caret-right: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik03LjIsNS4yTDEwLjksOWwtMy44LDMuOFY1LjJINy4yeiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-caret-up-empty-thin: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwIDIwIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwb2x5Z29uIGNsYXNzPSJzdDEiIHBvaW50cz0iMTUuNCwxMy4zIDkuOSw3LjcgNC40LDEzLjIgMy42LDEyLjUgOS45LDYuMyAxNi4xLDEyLjYgIi8+Cgk8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-caret-up: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwYXRoIGQ9Ik01LjIsMTAuNUw5LDYuOGwzLjgsMy44SDUuMnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-case-sensitive: url(data:image/svg+xml;base64,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);
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+  --jp-icon-circle-empty: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyIDJDNi40NyAyIDIgNi40NyAyIDEyczQuNDcgMTAgMTAgMTAgMTAtNC40NyAxMC0xMFMxNy41MyAyIDEyIDJ6bTAgMThjLTQuNDEgMC04LTMuNTktOC04czMuNTktOCA4LTggOCAzLjU5IDggOC0zLjU5IDgtOCA4eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-circle: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMTggMTgiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPGNpcmNsZSBjeD0iOSIgY3k9IjkiIHI9IjgiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-clear: url(data:image/svg+xml;base64,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);
+  --jp-icon-close: url(data:image/svg+xml;base64,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);
+  --jp-icon-code-check: url(data:image/svg+xml;base64,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);
+  --jp-icon-code: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjIiIGhlaWdodD0iMjIiIHZpZXdCb3g9IjAgMCAyOCAyOCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CgkJPHBhdGggZD0iTTExLjQgMTguNkw2LjggMTRMMTEuNCA5LjRMMTAgOEw0IDE0TDEwIDIwTDExLjQgMTguNlpNMTYuNiAxOC42TDIxLjIgMTRMMTYuNiA5LjRMMTggOEwyNCAxNEwxOCAyMEwxNi42IDE4LjZWMTguNloiLz4KCTwvZz4KPC9zdmc+Cg==);
+  --jp-icon-collapse-all: url(data:image/svg+xml;base64,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);
+  --jp-icon-console: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwMCAyMDAiPgogIDxnIGNsYXNzPSJqcC1jb25zb2xlLWljb24tYmFja2dyb3VuZC1jb2xvciBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiMwMjg4RDEiPgogICAgPHBhdGggZD0iTTIwIDE5LjhoMTYwdjE1OS45SDIweiIvPgogIDwvZz4KICA8ZyBjbGFzcz0ianAtY29uc29sZS1pY29uLWNvbG9yIGpwLWljb24tc2VsZWN0YWJsZS1pbnZlcnNlIiBmaWxsPSIjZmZmIj4KICAgIDxwYXRoIGQ9Ik0xMDUgMTI3LjNoNDB2MTIuOGgtNDB6TTUxLjEgNzdMNzQgOTkuOWwtMjMuMyAyMy4zIDEwLjUgMTAuNSAyMy4zLTIzLjNMOTUgOTkuOSA4NC41IDg5LjQgNjEuNiA2Ni41eiIvPgogIDwvZz4KPC9zdmc+Cg==);
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+  --jp-icon-copyright: url(data:image/svg+xml;base64,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);
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+  --jp-icon-ellipses: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPGNpcmNsZSBjeD0iNSIgY3k9IjEyIiByPSIyIi8+CiAgICA8Y2lyY2xlIGN4PSIxMiIgY3k9IjEyIiByPSIyIi8+CiAgICA8Y2lyY2xlIGN4PSIxOSIgY3k9IjEyIiByPSIyIi8+CiAgPC9nPgo8L3N2Zz4K);
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+  --jp-icon-extension: url(data:image/svg+xml;base64,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);
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+  --jp-icon-file-upload: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTkgMTZoNnYtNmg0bC03LTctNyA3aDR6bS00IDJoMTR2Mkg1eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-file: url(data:image/svg+xml;base64,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);
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+  --jp-icon-filter: url(data:image/svg+xml;base64,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);
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+  --jp-icon-home: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIGhlaWdodD0iMjRweCIgdmlld0JveD0iMCAwIDI0IDI0IiB3aWR0aD0iMjRweCIgZmlsbD0iIzAwMDAwMCI+CiAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPjxwYXRoIGNsYXNzPSJqcC1pY29uMyBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xMCAyMHYtNmg0djZoNXYtOGgzTDEyIDMgMiAxMmgzdjh6Ii8+Cjwvc3ZnPgo=);
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+  --jp-icon-info: url(data:image/svg+xml;base64,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);
+  --jp-icon-inspector: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaW5zcGVjdG9yLWljb24tY29sb3IganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMjAgNEg0Yy0xLjEgMC0xLjk5LjktMS45OSAyTDIgMThjMCAxLjEuOSAyIDIgMmgxNmMxLjEgMCAyLS45IDItMlY2YzAtMS4xLS45LTItMi0yem0tNSAxNEg0di00aDExdjR6bTAtNUg0VjloMTF2NHptNSA1aC00VjloNHY5eiIvPgo8L3N2Zz4K);
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+  --jp-icon-kernel: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGNsYXNzPSJqcC1pY29uMiIgZmlsbD0iIzYxNjE2MSIgZD0iTTE1IDlIOXY2aDZWOXptLTIgNGgtMnYtMmgydjJ6bTgtMlY5aC0yVjdjMC0xLjEtLjktMi0yLTJoLTJWM2gtMnYyaC0yVjNIOXYySDdjLTEuMSAwLTIgLjktMiAydjJIM3YyaDJ2MkgzdjJoMnYyYzAgMS4xLjkgMiAyIDJoMnYyaDJ2LTJoMnYyaDJ2LTJoMmMxLjEgMCAyLS45IDItMnYtMmgydi0yaC0ydi0yaDJ6bS00IDZIN1Y3aDEwdjEweiIvPgo8L3N2Zz4K);
+  --jp-icon-keyboard: url(data:image/svg+xml;base64,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);
+  --jp-icon-launch: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMzIgMzIiIHdpZHRoPSIzMiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIj4KICAgIDxwYXRoIGQ9Ik0yNiwyOEg2YTIuMDAyNywyLjAwMjcsMCwwLDEtMi0yVjZBMi4wMDI3LDIuMDAyNywwLDAsMSw2LDRIMTZWNkg2VjI2SDI2VjE2aDJWMjZBMi4wMDI3LDIuMDAyNywwLDAsMSwyNiwyOFoiLz4KICAgIDxwb2x5Z29uIHBvaW50cz0iMjAgMiAyMCA0IDI2LjU4NiA0IDE4IDEyLjU4NiAxOS40MTQgMTQgMjggNS40MTQgMjggMTIgMzAgMTIgMzAgMiAyMCAyIi8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-launcher: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMTkgMTlINVY1aDdWM0g1YTIgMiAwIDAwLTIgMnYxNGEyIDIgMCAwMDIgMmgxNGMxLjEgMCAyLS45IDItMnYtN2gtMnY3ek0xNCAzdjJoMy41OWwtOS44MyA5LjgzIDEuNDEgMS40MUwxOSA2LjQxVjEwaDJWM2gtN3oiLz4KPC9zdmc+Cg==);
+  --jp-icon-line-form: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGZpbGw9IndoaXRlIiBkPSJNNS44OCA0LjEyTDEzLjc2IDEybC03Ljg4IDcuODhMOCAyMmwxMC0xMEw4IDJ6Ii8+Cjwvc3ZnPgo=);
+  --jp-icon-link: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTMuOSAxMmMwLTEuNzEgMS4zOS0zLjEgMy4xLTMuMWg0VjdIN2MtMi43NiAwLTUgMi4yNC01IDVzMi4yNCA1IDUgNWg0di0xLjlIN2MtMS43MSAwLTMuMS0xLjM5LTMuMS0zLjF6TTggMTNoOHYtMkg4djJ6bTktNmgtNHYxLjloNGMxLjcxIDAgMy4xIDEuMzkgMy4xIDMuMXMtMS4zOSAzLjEtMy4xIDMuMWgtNFYxN2g0YzIuNzYgMCA1LTIuMjQgNS01cy0yLjI0LTUtNS01eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-list: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGNsYXNzPSJqcC1pY29uMiBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xOSA1djE0SDVWNWgxNG0xLjEtMkgzLjljLS41IDAtLjkuNC0uOS45djE2LjJjMCAuNC40LjkuOS45aDE2LjJjLjQgMCAuOS0uNS45LS45VjMuOWMwLS41LS41LS45LS45LS45ek0xMSA3aDZ2MmgtNlY3em0wIDRoNnYyaC02di0yem0wIDRoNnYyaC02ek03IDdoMnYySDd6bTAgNGgydjJIN3ptMCA0aDJ2Mkg3eiIvPgo8L3N2Zz4K);
+  --jp-icon-markdown: url(data:image/svg+xml;base64,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);
+  --jp-icon-move-down: url(data:image/svg+xml;base64,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);
+  --jp-icon-move-up: url(data:image/svg+xml;base64,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);
+  --jp-icon-new-folder: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTIwIDZoLThsLTItMkg0Yy0xLjExIDAtMS45OS44OS0xLjk5IDJMMiAxOGMwIDEuMTEuODkgMiAyIDJoMTZjMS4xMSAwIDItLjg5IDItMlY4YzAtMS4xMS0uODktMi0yLTJ6bS0xIDhoLTN2M2gtMnYtM2gtM3YtMmgzVjloMnYzaDN2MnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-not-trusted: url(data:image/svg+xml;base64,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);
+  --jp-icon-notebook: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtbm90ZWJvb2staWNvbi1jb2xvciBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiNFRjZDMDAiPgogICAgPHBhdGggZD0iTTE4LjcgMy4zdjE1LjRIMy4zVjMuM2gxNS40bTEuNS0xLjVIMS44djE4LjNoMTguM2wuMS0xOC4zeiIvPgogICAgPHBhdGggZD0iTTE2LjUgMTYuNWwtNS40LTQuMy01LjYgNC4zdi0xMWgxMXoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-numbering: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjIiIGhlaWdodD0iMjIiIHZpZXdCb3g9IjAgMCAyOCAyOCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CgkJPHBhdGggZD0iTTQgMTlINlYxOS41SDVWMjAuNUg2VjIxSDRWMjJIN1YxOEg0VjE5Wk01IDEwSDZWNkg0VjdINVYxMFpNNCAxM0g1LjhMNCAxNS4xVjE2SDdWMTVINS4yTDcgMTIuOVYxMkg0VjEzWk05IDdWOUgyM1Y3SDlaTTkgMjFIMjNWMTlIOVYyMVpNOSAxNUgyM1YxM0g5VjE1WiIvPgoJPC9nPgo8L3N2Zz4K);
+  --jp-icon-offline-bolt: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAyNCAyNCIgd2lkdGg9IjE2Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyIDIuMDJjLTUuNTEgMC05Ljk4IDQuNDctOS45OCA5Ljk4czQuNDcgOS45OCA5Ljk4IDkuOTggOS45OC00LjQ3IDkuOTgtOS45OFMxNy41MSAyLjAyIDEyIDIuMDJ6TTExLjQ4IDIwdi02LjI2SDhMMTMgNHY2LjI2aDMuMzVMMTEuNDggMjB6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-palette: url(data:image/svg+xml;base64,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);
+  --jp-icon-paste: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTE5IDJoLTQuMThDMTQuNC44NCAxMy4zIDAgMTIgMGMtMS4zIDAtMi40Ljg0LTIuODIgMkg1Yy0xLjEgMC0yIC45LTIgMnYxNmMwIDEuMS45IDIgMiAyaDE0YzEuMSAwIDItLjkgMi0yVjRjMC0xLjEtLjktMi0yLTJ6bS03IDBjLjU1IDAgMSAuNDUgMSAxcy0uNDUgMS0xIDEtMS0uNDUtMS0xIC40NS0xIDEtMXptNyAxOEg1VjRoMnYzaDEwVjRoMnYxNnoiLz4KICAgIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-pdf: url(data:image/svg+xml;base64,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);
+  --jp-icon-python: url(data:image/svg+xml;base64,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);
+  --jp-icon-r-kernel: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8cGF0aCBjbGFzcz0ianAtaWNvbi1jb250cmFzdDMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjMjE5NkYzIiBkPSJNNC40IDIuNWMxLjItLjEgMi45LS4zIDQuOS0uMyAyLjUgMCA0LjEuNCA1LjIgMS4zIDEgLjcgMS41IDEuOSAxLjUgMy41IDAgMi0xLjQgMy41LTIuOSA0LjEgMS4yLjQgMS43IDEuNiAyLjIgMyAuNiAxLjkgMSAzLjkgMS4zIDQuNmgtMy44Yy0uMy0uNC0uOC0xLjctMS4yLTMuN3MtMS4yLTIuNi0yLjYtMi42aC0uOXY2LjRINC40VjIuNXptMy43IDYuOWgxLjRjMS45IDAgMi45LS45IDIuOS0yLjNzLTEtMi4zLTIuOC0yLjNjLS43IDAtMS4zIDAtMS42LjJ2NC41aC4xdi0uMXoiLz4KPC9zdmc+Cg==);
+  --jp-icon-react: url(data:image/svg+xml;base64,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);
+  --jp-icon-redo: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIGhlaWdodD0iMjQiIHZpZXdCb3g9IjAgMCAyNCAyNCIgd2lkdGg9IjE2Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgICA8cGF0aCBkPSJNMCAwaDI0djI0SDB6IiBmaWxsPSJub25lIi8+PHBhdGggZD0iTTE4LjQgMTAuNkMxNi41NSA4Ljk5IDE0LjE1IDggMTEuNSA4Yy00LjY1IDAtOC41OCAzLjAzLTkuOTYgNy4yMkwzLjkgMTZjMS4wNS0zLjE5IDQuMDUtNS41IDcuNi01LjUgMS45NSAwIDMuNzMuNzIgNS4xMiAxLjg4TDEzIDE2aDlWN2wtMy42IDMuNnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-refresh: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTkgMTMuNWMtMi40OSAwLTQuNS0yLjAxLTQuNS00LjVTNi41MSA0LjUgOSA0LjVjMS4yNCAwIDIuMzYuNTIgMy4xNyAxLjMzTDEwIDhoNVYzbC0xLjc2IDEuNzZDMTIuMTUgMy42OCAxMC42NiAzIDkgMyA1LjY5IDMgMy4wMSA1LjY5IDMuMDEgOVM1LjY5IDE1IDkgMTVjMi45NyAwIDUuNDMtMi4xNiA1LjktNWgtMS41MmMtLjQ2IDItMi4yNCAzLjUtNC4zOCAzLjV6Ii8+CiAgICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-regex: url(data:image/svg+xml;base64,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);
+  --jp-icon-run: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTggNXYxNGwxMS03eiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-running: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDUxMiA1MTIiPgogIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICA8cGF0aCBkPSJNMjU2IDhDMTE5IDggOCAxMTkgOCAyNTZzMTExIDI0OCAyNDggMjQ4IDI0OC0xMTEgMjQ4LTI0OFMzOTMgOCAyNTYgOHptOTYgMzI4YzAgOC44LTcuMiAxNi0xNiAxNkgxNzZjLTguOCAwLTE2LTcuMi0xNi0xNlYxNzZjMC04LjggNy4yLTE2IDE2LTE2aDE2MGM4LjggMCAxNiA3LjIgMTYgMTZ2MTYweiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-save: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTE3IDNINWMtMS4xMSAwLTIgLjktMiAydjE0YzAgMS4xLjg5IDIgMiAyaDE0YzEuMSAwIDItLjkgMi0yVjdsLTQtNHptLTUgMTZjLTEuNjYgMC0zLTEuMzQtMy0zczEuMzQtMyAzLTMgMyAxLjM0IDMgMy0xLjM0IDMtMyAzem0zLTEwSDVWNWgxMHY0eiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-search: url(data:image/svg+xml;base64,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);
+  --jp-icon-settings: url(data:image/svg+xml;base64,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);
+  --jp-icon-share: url(data:image/svg+xml;base64,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);
+  --jp-icon-spreadsheet: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8cGF0aCBjbGFzcz0ianAtaWNvbi1jb250cmFzdDEganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNENBRjUwIiBkPSJNMi4yIDIuMnYxNy42aDE3LjZWMi4ySDIuMnptMTUuNCA3LjdoLTUuNVY0LjRoNS41djUuNXpNOS45IDQuNHY1LjVINC40VjQuNGg1LjV6bS01LjUgNy43aDUuNXY1LjVINC40di01LjV6bTcuNyA1LjV2LTUuNWg1LjV2NS41aC01LjV6Ii8+Cjwvc3ZnPgo=);
+  --jp-icon-stop: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik02IDZoMTJ2MTJINnoiLz4KICAgIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-tab: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTIxIDNIM2MtMS4xIDAtMiAuOS0yIDJ2MTRjMCAxLjEuOSAyIDIgMmgxOGMxLjEgMCAyLS45IDItMlY1YzAtMS4xLS45LTItMi0yem0wIDE2SDNWNWgxMHY0aDh2MTB6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-table-rows: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik0yMSw4SDNWNGgxOFY4eiBNMjEsMTBIM3Y0aDE4VjEweiBNMjEsMTZIM3Y0aDE4VjE2eiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-tag: url(data:image/svg+xml;base64,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);
+  --jp-icon-terminal: url(data:image/svg+xml;base64,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);
+  --jp-icon-text-editor: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtdGV4dC1lZGl0b3ItaWNvbi1jb2xvciBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xNSAxNUgzdjJoMTJ2LTJ6bTAtOEgzdjJoMTJWN3pNMyAxM2gxOHYtMkgzdjJ6bTAgOGgxOHYtMkgzdjJ6TTMgM3YyaDE4VjNIM3oiLz4KPC9zdmc+Cg==);
+  --jp-icon-toc: url(data:image/svg+xml;base64,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);
+  --jp-icon-tree-view: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik0yMiAxMVYzaC03djNIOVYzSDJ2OGg3VjhoMnYxMGg0djNoN3YtOGgtN3YzaC0yVjhoMnYzeiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-trusted: url(data:image/svg+xml;base64,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);
+  --jp-icon-undo: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyLjUgOGMtMi42NSAwLTUuMDUuOTktNi45IDIuNkwyIDd2OWg5bC0zLjYyLTMuNjJjMS4zOS0xLjE2IDMuMTYtMS44OCA1LjEyLTEuODggMy41NCAwIDYuNTUgMi4zMSA3LjYgNS41bDIuMzctLjc4QzIxLjA4IDExLjAzIDE3LjE1IDggMTIuNSA4eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-user: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMTYiIHZpZXdCb3g9IjAgMCAyNCAyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE2IDdhNCA0IDAgMTEtOCAwIDQgNCAwIDAxOCAwek0xMiAxNGE3IDcgMCAwMC03IDdoMTRhNyA3IDAgMDAtNy03eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-users: url(data:image/svg+xml;base64,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);
+  --jp-icon-vega: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtaWNvbjEganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjMjEyMTIxIj4KICAgIDxwYXRoIGQ9Ik0xMC42IDUuNGwyLjItMy4ySDIuMnY3LjNsNC02LjZ6Ii8+CiAgICA8cGF0aCBkPSJNMTUuOCAyLjJsLTQuNCA2LjZMNyA2LjNsLTQuOCA4djUuNWgxNy42VjIuMmgtNHptLTcgMTUuNEg1LjV2LTQuNGgzLjN2NC40em00LjQgMEg5LjhWOS44aDMuNHY3Ljh6bTQuNCAwaC0zLjRWNi41aDMuNHYxMS4xeiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-word: url(data:image/svg+xml;base64,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);
+  --jp-icon-yaml: url(data:image/svg+xml;base64,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);
+}
+
+/* Icon CSS class declarations */
+
+.jp-AddAboveIcon {
+  background-image: var(--jp-icon-add-above);
+}
+
+.jp-AddBelowIcon {
+  background-image: var(--jp-icon-add-below);
+}
+
+.jp-AddIcon {
+  background-image: var(--jp-icon-add);
+}
+
+.jp-BellIcon {
+  background-image: var(--jp-icon-bell);
+}
+
+.jp-BugDotIcon {
+  background-image: var(--jp-icon-bug-dot);
+}
+
+.jp-BugIcon {
+  background-image: var(--jp-icon-bug);
+}
+
+.jp-BuildIcon {
+  background-image: var(--jp-icon-build);
+}
+
+.jp-CaretDownEmptyIcon {
+  background-image: var(--jp-icon-caret-down-empty);
+}
+
+.jp-CaretDownEmptyThinIcon {
+  background-image: var(--jp-icon-caret-down-empty-thin);
+}
+
+.jp-CaretDownIcon {
+  background-image: var(--jp-icon-caret-down);
+}
+
+.jp-CaretLeftIcon {
+  background-image: var(--jp-icon-caret-left);
+}
+
+.jp-CaretRightIcon {
+  background-image: var(--jp-icon-caret-right);
+}
+
+.jp-CaretUpEmptyThinIcon {
+  background-image: var(--jp-icon-caret-up-empty-thin);
+}
+
+.jp-CaretUpIcon {
+  background-image: var(--jp-icon-caret-up);
+}
+
+.jp-CaseSensitiveIcon {
+  background-image: var(--jp-icon-case-sensitive);
+}
+
+.jp-CheckIcon {
+  background-image: var(--jp-icon-check);
+}
+
+.jp-CircleEmptyIcon {
+  background-image: var(--jp-icon-circle-empty);
+}
+
+.jp-CircleIcon {
+  background-image: var(--jp-icon-circle);
+}
+
+.jp-ClearIcon {
+  background-image: var(--jp-icon-clear);
+}
+
+.jp-CloseIcon {
+  background-image: var(--jp-icon-close);
+}
+
+.jp-CodeCheckIcon {
+  background-image: var(--jp-icon-code-check);
+}
+
+.jp-CodeIcon {
+  background-image: var(--jp-icon-code);
+}
+
+.jp-CollapseAllIcon {
+  background-image: var(--jp-icon-collapse-all);
+}
+
+.jp-ConsoleIcon {
+  background-image: var(--jp-icon-console);
+}
+
+.jp-CopyIcon {
+  background-image: var(--jp-icon-copy);
+}
+
+.jp-CopyrightIcon {
+  background-image: var(--jp-icon-copyright);
+}
+
+.jp-CutIcon {
+  background-image: var(--jp-icon-cut);
+}
+
+.jp-DeleteIcon {
+  background-image: var(--jp-icon-delete);
+}
+
+.jp-DownloadIcon {
+  background-image: var(--jp-icon-download);
+}
+
+.jp-DuplicateIcon {
+  background-image: var(--jp-icon-duplicate);
+}
+
+.jp-EditIcon {
+  background-image: var(--jp-icon-edit);
+}
+
+.jp-EllipsesIcon {
+  background-image: var(--jp-icon-ellipses);
+}
+
+.jp-ErrorIcon {
+  background-image: var(--jp-icon-error);
+}
+
+.jp-ExpandAllIcon {
+  background-image: var(--jp-icon-expand-all);
+}
+
+.jp-ExtensionIcon {
+  background-image: var(--jp-icon-extension);
+}
+
+.jp-FastForwardIcon {
+  background-image: var(--jp-icon-fast-forward);
+}
+
+.jp-FileIcon {
+  background-image: var(--jp-icon-file);
+}
+
+.jp-FileUploadIcon {
+  background-image: var(--jp-icon-file-upload);
+}
+
+.jp-FilterDotIcon {
+  background-image: var(--jp-icon-filter-dot);
+}
+
+.jp-FilterIcon {
+  background-image: var(--jp-icon-filter);
+}
+
+.jp-FilterListIcon {
+  background-image: var(--jp-icon-filter-list);
+}
+
+.jp-FolderFavoriteIcon {
+  background-image: var(--jp-icon-folder-favorite);
+}
+
+.jp-FolderIcon {
+  background-image: var(--jp-icon-folder);
+}
+
+.jp-HomeIcon {
+  background-image: var(--jp-icon-home);
+}
+
+.jp-Html5Icon {
+  background-image: var(--jp-icon-html5);
+}
+
+.jp-ImageIcon {
+  background-image: var(--jp-icon-image);
+}
+
+.jp-InfoIcon {
+  background-image: var(--jp-icon-info);
+}
+
+.jp-InspectorIcon {
+  background-image: var(--jp-icon-inspector);
+}
+
+.jp-JsonIcon {
+  background-image: var(--jp-icon-json);
+}
+
+.jp-JuliaIcon {
+  background-image: var(--jp-icon-julia);
+}
+
+.jp-JupyterFaviconIcon {
+  background-image: var(--jp-icon-jupyter-favicon);
+}
+
+.jp-JupyterIcon {
+  background-image: var(--jp-icon-jupyter);
+}
+
+.jp-JupyterlabWordmarkIcon {
+  background-image: var(--jp-icon-jupyterlab-wordmark);
+}
+
+.jp-KernelIcon {
+  background-image: var(--jp-icon-kernel);
+}
+
+.jp-KeyboardIcon {
+  background-image: var(--jp-icon-keyboard);
+}
+
+.jp-LaunchIcon {
+  background-image: var(--jp-icon-launch);
+}
+
+.jp-LauncherIcon {
+  background-image: var(--jp-icon-launcher);
+}
+
+.jp-LineFormIcon {
+  background-image: var(--jp-icon-line-form);
+}
+
+.jp-LinkIcon {
+  background-image: var(--jp-icon-link);
+}
+
+.jp-ListIcon {
+  background-image: var(--jp-icon-list);
+}
+
+.jp-MarkdownIcon {
+  background-image: var(--jp-icon-markdown);
+}
+
+.jp-MoveDownIcon {
+  background-image: var(--jp-icon-move-down);
+}
+
+.jp-MoveUpIcon {
+  background-image: var(--jp-icon-move-up);
+}
+
+.jp-NewFolderIcon {
+  background-image: var(--jp-icon-new-folder);
+}
+
+.jp-NotTrustedIcon {
+  background-image: var(--jp-icon-not-trusted);
+}
+
+.jp-NotebookIcon {
+  background-image: var(--jp-icon-notebook);
+}
+
+.jp-NumberingIcon {
+  background-image: var(--jp-icon-numbering);
+}
+
+.jp-OfflineBoltIcon {
+  background-image: var(--jp-icon-offline-bolt);
+}
+
+.jp-PaletteIcon {
+  background-image: var(--jp-icon-palette);
+}
+
+.jp-PasteIcon {
+  background-image: var(--jp-icon-paste);
+}
+
+.jp-PdfIcon {
+  background-image: var(--jp-icon-pdf);
+}
+
+.jp-PythonIcon {
+  background-image: var(--jp-icon-python);
+}
+
+.jp-RKernelIcon {
+  background-image: var(--jp-icon-r-kernel);
+}
+
+.jp-ReactIcon {
+  background-image: var(--jp-icon-react);
+}
+
+.jp-RedoIcon {
+  background-image: var(--jp-icon-redo);
+}
+
+.jp-RefreshIcon {
+  background-image: var(--jp-icon-refresh);
+}
+
+.jp-RegexIcon {
+  background-image: var(--jp-icon-regex);
+}
+
+.jp-RunIcon {
+  background-image: var(--jp-icon-run);
+}
+
+.jp-RunningIcon {
+  background-image: var(--jp-icon-running);
+}
+
+.jp-SaveIcon {
+  background-image: var(--jp-icon-save);
+}
+
+.jp-SearchIcon {
+  background-image: var(--jp-icon-search);
+}
+
+.jp-SettingsIcon {
+  background-image: var(--jp-icon-settings);
+}
+
+.jp-ShareIcon {
+  background-image: var(--jp-icon-share);
+}
+
+.jp-SpreadsheetIcon {
+  background-image: var(--jp-icon-spreadsheet);
+}
+
+.jp-StopIcon {
+  background-image: var(--jp-icon-stop);
+}
+
+.jp-TabIcon {
+  background-image: var(--jp-icon-tab);
+}
+
+.jp-TableRowsIcon {
+  background-image: var(--jp-icon-table-rows);
+}
+
+.jp-TagIcon {
+  background-image: var(--jp-icon-tag);
+}
+
+.jp-TerminalIcon {
+  background-image: var(--jp-icon-terminal);
+}
+
+.jp-TextEditorIcon {
+  background-image: var(--jp-icon-text-editor);
+}
+
+.jp-TocIcon {
+  background-image: var(--jp-icon-toc);
+}
+
+.jp-TreeViewIcon {
+  background-image: var(--jp-icon-tree-view);
+}
+
+.jp-TrustedIcon {
+  background-image: var(--jp-icon-trusted);
+}
+
+.jp-UndoIcon {
+  background-image: var(--jp-icon-undo);
+}
+
+.jp-UserIcon {
+  background-image: var(--jp-icon-user);
+}
+
+.jp-UsersIcon {
+  background-image: var(--jp-icon-users);
+}
+
+.jp-VegaIcon {
+  background-image: var(--jp-icon-vega);
+}
+
+.jp-WordIcon {
+  background-image: var(--jp-icon-word);
+}
+
+.jp-YamlIcon {
+  background-image: var(--jp-icon-yaml);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/**
+ * (DEPRECATED) Support for consuming icons as CSS background images
+ */
+
+.jp-Icon,
+.jp-MaterialIcon {
+  background-position: center;
+  background-repeat: no-repeat;
+  background-size: 16px;
+  min-width: 16px;
+  min-height: 16px;
+}
+
+.jp-Icon-cover {
+  background-position: center;
+  background-repeat: no-repeat;
+  background-size: cover;
+}
+
+/**
+ * (DEPRECATED) Support for specific CSS icon sizes
+ */
+
+.jp-Icon-16 {
+  background-size: 16px;
+  min-width: 16px;
+  min-height: 16px;
+}
+
+.jp-Icon-18 {
+  background-size: 18px;
+  min-width: 18px;
+  min-height: 18px;
+}
+
+.jp-Icon-20 {
+  background-size: 20px;
+  min-width: 20px;
+  min-height: 20px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.lm-TabBar .lm-TabBar-addButton {
+  align-items: center;
+  display: flex;
+  padding: 4px;
+  padding-bottom: 5px;
+  margin-right: 1px;
+  background-color: var(--jp-layout-color2);
+}
+
+.lm-TabBar .lm-TabBar-addButton:hover {
+  background-color: var(--jp-layout-color1);
+}
+
+.lm-DockPanel-tabBar .lm-TabBar-tab {
+  width: var(--jp-private-horizontal-tab-width);
+}
+
+.lm-DockPanel-tabBar .lm-TabBar-content {
+  flex: unset;
+}
+
+.lm-DockPanel-tabBar[data-orientation='horizontal'] {
+  flex: 1 1 auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/**
+ * Support for icons as inline SVG HTMLElements
+ */
+
+/* recolor the primary elements of an icon */
+.jp-icon0[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon1[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon2[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon3[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon4[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon0[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon1[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon2[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon3[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon4[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/* recolor the accent elements of an icon */
+.jp-icon-accent0[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.jp-icon-accent1[fill] {
+  fill: var(--jp-layout-color1);
+}
+
+.jp-icon-accent2[fill] {
+  fill: var(--jp-layout-color2);
+}
+
+.jp-icon-accent3[fill] {
+  fill: var(--jp-layout-color3);
+}
+
+.jp-icon-accent4[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-accent0[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-accent1[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-accent2[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-accent3[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-accent4[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* set the color of an icon to transparent */
+.jp-icon-none[fill] {
+  fill: none;
+}
+
+.jp-icon-none[stroke] {
+  stroke: none;
+}
+
+/* brand icon colors. Same for light and dark */
+.jp-icon-brand0[fill] {
+  fill: var(--jp-brand-color0);
+}
+
+.jp-icon-brand1[fill] {
+  fill: var(--jp-brand-color1);
+}
+
+.jp-icon-brand2[fill] {
+  fill: var(--jp-brand-color2);
+}
+
+.jp-icon-brand3[fill] {
+  fill: var(--jp-brand-color3);
+}
+
+.jp-icon-brand4[fill] {
+  fill: var(--jp-brand-color4);
+}
+
+.jp-icon-brand0[stroke] {
+  stroke: var(--jp-brand-color0);
+}
+
+.jp-icon-brand1[stroke] {
+  stroke: var(--jp-brand-color1);
+}
+
+.jp-icon-brand2[stroke] {
+  stroke: var(--jp-brand-color2);
+}
+
+.jp-icon-brand3[stroke] {
+  stroke: var(--jp-brand-color3);
+}
+
+.jp-icon-brand4[stroke] {
+  stroke: var(--jp-brand-color4);
+}
+
+/* warn icon colors. Same for light and dark */
+.jp-icon-warn0[fill] {
+  fill: var(--jp-warn-color0);
+}
+
+.jp-icon-warn1[fill] {
+  fill: var(--jp-warn-color1);
+}
+
+.jp-icon-warn2[fill] {
+  fill: var(--jp-warn-color2);
+}
+
+.jp-icon-warn3[fill] {
+  fill: var(--jp-warn-color3);
+}
+
+.jp-icon-warn0[stroke] {
+  stroke: var(--jp-warn-color0);
+}
+
+.jp-icon-warn1[stroke] {
+  stroke: var(--jp-warn-color1);
+}
+
+.jp-icon-warn2[stroke] {
+  stroke: var(--jp-warn-color2);
+}
+
+.jp-icon-warn3[stroke] {
+  stroke: var(--jp-warn-color3);
+}
+
+/* icon colors that contrast well with each other and most backgrounds */
+.jp-icon-contrast0[fill] {
+  fill: var(--jp-icon-contrast-color0);
+}
+
+.jp-icon-contrast1[fill] {
+  fill: var(--jp-icon-contrast-color1);
+}
+
+.jp-icon-contrast2[fill] {
+  fill: var(--jp-icon-contrast-color2);
+}
+
+.jp-icon-contrast3[fill] {
+  fill: var(--jp-icon-contrast-color3);
+}
+
+.jp-icon-contrast0[stroke] {
+  stroke: var(--jp-icon-contrast-color0);
+}
+
+.jp-icon-contrast1[stroke] {
+  stroke: var(--jp-icon-contrast-color1);
+}
+
+.jp-icon-contrast2[stroke] {
+  stroke: var(--jp-icon-contrast-color2);
+}
+
+.jp-icon-contrast3[stroke] {
+  stroke: var(--jp-icon-contrast-color3);
+}
+
+.jp-icon-dot[fill] {
+  fill: var(--jp-warn-color0);
+}
+
+.jp-jupyter-icon-color[fill] {
+  fill: var(--jp-jupyter-icon-color, var(--jp-warn-color0));
+}
+
+.jp-notebook-icon-color[fill] {
+  fill: var(--jp-notebook-icon-color, var(--jp-warn-color0));
+}
+
+.jp-json-icon-color[fill] {
+  fill: var(--jp-json-icon-color, var(--jp-warn-color1));
+}
+
+.jp-console-icon-color[fill] {
+  fill: var(--jp-console-icon-color, white);
+}
+
+.jp-console-icon-background-color[fill] {
+  fill: var(--jp-console-icon-background-color, var(--jp-brand-color1));
+}
+
+.jp-terminal-icon-color[fill] {
+  fill: var(--jp-terminal-icon-color, var(--jp-layout-color2));
+}
+
+.jp-terminal-icon-background-color[fill] {
+  fill: var(
+    --jp-terminal-icon-background-color,
+    var(--jp-inverse-layout-color2)
+  );
+}
+
+.jp-text-editor-icon-color[fill] {
+  fill: var(--jp-text-editor-icon-color, var(--jp-inverse-layout-color3));
+}
+
+.jp-inspector-icon-color[fill] {
+  fill: var(--jp-inspector-icon-color, var(--jp-inverse-layout-color3));
+}
+
+/* CSS for icons in selected filebrowser listing items */
+.jp-DirListing-item.jp-mod-selected .jp-icon-selectable[fill] {
+  fill: #fff;
+}
+
+.jp-DirListing-item.jp-mod-selected .jp-icon-selectable-inverse[fill] {
+  fill: var(--jp-brand-color1);
+}
+
+/* stylelint-disable selector-max-class, selector-max-compound-selectors */
+
+/**
+* TODO: come up with non css-hack solution for showing the busy icon on top
+*  of the close icon
+* CSS for complex behavior of close icon of tabs in the main area tabbar
+*/
+.lm-DockPanel-tabBar
+  .lm-TabBar-tab.lm-mod-closable.jp-mod-dirty
+  > .lm-TabBar-tabCloseIcon
+  > :not(:hover)
+  > .jp-icon3[fill] {
+  fill: none;
+}
+
+.lm-DockPanel-tabBar
+  .lm-TabBar-tab.lm-mod-closable.jp-mod-dirty
+  > .lm-TabBar-tabCloseIcon
+  > :not(:hover)
+  > .jp-icon-busy[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+/* stylelint-enable selector-max-class, selector-max-compound-selectors */
+
+/* CSS for icons in status bar */
+#jp-main-statusbar .jp-mod-selected .jp-icon-selectable[fill] {
+  fill: #fff;
+}
+
+#jp-main-statusbar .jp-mod-selected .jp-icon-selectable-inverse[fill] {
+  fill: var(--jp-brand-color1);
+}
+
+/* special handling for splash icon CSS. While the theme CSS reloads during
+   splash, the splash icon can loose theming. To prevent that, we set a
+   default for its color variable */
+:root {
+  --jp-warn-color0: var(--md-orange-700);
+}
+
+/* not sure what to do with this one, used in filebrowser listing */
+.jp-DragIcon {
+  margin-right: 4px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/**
+ * Support for alt colors for icons as inline SVG HTMLElements
+ */
+
+/* alt recolor the primary elements of an icon */
+.jp-icon-alt .jp-icon0[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.jp-icon-alt .jp-icon1[fill] {
+  fill: var(--jp-layout-color1);
+}
+
+.jp-icon-alt .jp-icon2[fill] {
+  fill: var(--jp-layout-color2);
+}
+
+.jp-icon-alt .jp-icon3[fill] {
+  fill: var(--jp-layout-color3);
+}
+
+.jp-icon-alt .jp-icon4[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-alt .jp-icon0[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-alt .jp-icon1[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-alt .jp-icon2[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-alt .jp-icon3[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-alt .jp-icon4[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* alt recolor the accent elements of an icon */
+.jp-icon-alt .jp-icon-accent0[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-alt .jp-icon-accent1[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-alt .jp-icon-accent2[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-alt .jp-icon-accent3[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-alt .jp-icon-accent4[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon-alt .jp-icon-accent0[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-alt .jp-icon-accent1[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-alt .jp-icon-accent2[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-alt .jp-icon-accent3[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-alt .jp-icon-accent4[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-icon-hoverShow:not(:hover) .jp-icon-hoverShow-content {
+  display: none !important;
+}
+
+/**
+ * Support for hover colors for icons as inline SVG HTMLElements
+ */
+
+/**
+ * regular colors
+ */
+
+/* recolor the primary elements of an icon */
+.jp-icon-hover :hover .jp-icon0-hover[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon1-hover[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon2-hover[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon3-hover[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon4-hover[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon-hover :hover .jp-icon0-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon1-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon2-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon3-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon4-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/* recolor the accent elements of an icon */
+.jp-icon-hover :hover .jp-icon-accent0-hover[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon-accent1-hover[fill] {
+  fill: var(--jp-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon-accent2-hover[fill] {
+  fill: var(--jp-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon-accent3-hover[fill] {
+  fill: var(--jp-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon-accent4-hover[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-hover :hover .jp-icon-accent0-hover[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon-accent1-hover[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon-accent2-hover[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon-accent3-hover[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon-accent4-hover[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* set the color of an icon to transparent */
+.jp-icon-hover :hover .jp-icon-none-hover[fill] {
+  fill: none;
+}
+
+.jp-icon-hover :hover .jp-icon-none-hover[stroke] {
+  stroke: none;
+}
+
+/**
+ * inverse colors
+ */
+
+/* inverse recolor the primary elements of an icon */
+.jp-icon-hover.jp-icon-alt :hover .jp-icon0-hover[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon1-hover[fill] {
+  fill: var(--jp-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon2-hover[fill] {
+  fill: var(--jp-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon3-hover[fill] {
+  fill: var(--jp-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon4-hover[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon0-hover[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon1-hover[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon2-hover[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon3-hover[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon4-hover[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* inverse recolor the accent elements of an icon */
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent0-hover[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent1-hover[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent2-hover[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent3-hover[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent4-hover[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent0-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent1-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent2-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent3-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent4-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-IFrame {
+  width: 100%;
+  height: 100%;
+}
+
+.jp-IFrame > iframe {
+  border: none;
+}
+
+/*
+When drag events occur, `lm-mod-override-cursor` is added to the body.
+Because iframes steal all cursor events, the following two rules are necessary
+to suppress pointer events while resize drags are occurring. There may be a
+better solution to this problem.
+*/
+body.lm-mod-override-cursor .jp-IFrame {
+  position: relative;
+}
+
+body.lm-mod-override-cursor .jp-IFrame::before {
+  content: '';
+  position: absolute;
+  top: 0;
+  left: 0;
+  right: 0;
+  bottom: 0;
+  background: transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-HoverBox {
+  position: fixed;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-FormGroup-content fieldset {
+  border: none;
+  padding: 0;
+  min-width: 0;
+  width: 100%;
+}
+
+/* stylelint-disable selector-max-type */
+
+.jp-FormGroup-content fieldset .jp-inputFieldWrapper input,
+.jp-FormGroup-content fieldset .jp-inputFieldWrapper select,
+.jp-FormGroup-content fieldset .jp-inputFieldWrapper textarea {
+  font-size: var(--jp-content-font-size2);
+  border-color: var(--jp-input-border-color);
+  border-style: solid;
+  border-radius: var(--jp-border-radius);
+  border-width: 1px;
+  padding: 6px 8px;
+  background: none;
+  color: var(--jp-ui-font-color0);
+  height: inherit;
+}
+
+.jp-FormGroup-content fieldset input[type='checkbox'] {
+  position: relative;
+  top: 2px;
+  margin-left: 0;
+}
+
+.jp-FormGroup-content button.jp-mod-styled {
+  cursor: pointer;
+}
+
+.jp-FormGroup-content .checkbox label {
+  cursor: pointer;
+  font-size: var(--jp-content-font-size1);
+}
+
+.jp-FormGroup-content .jp-root > fieldset > legend {
+  display: none;
+}
+
+.jp-FormGroup-content .jp-root > fieldset > p {
+  display: none;
+}
+
+/** copy of `input.jp-mod-styled:focus` style */
+.jp-FormGroup-content fieldset input:focus,
+.jp-FormGroup-content fieldset select:focus {
+  -moz-outline-radius: unset;
+  outline: var(--jp-border-width) solid var(--md-blue-500);
+  outline-offset: -1px;
+  box-shadow: inset 0 0 4px var(--md-blue-300);
+}
+
+.jp-FormGroup-content fieldset input:hover:not(:focus),
+.jp-FormGroup-content fieldset select:hover:not(:focus) {
+  background-color: var(--jp-border-color2);
+}
+
+/* stylelint-enable selector-max-type */
+
+.jp-FormGroup-content .checkbox .field-description {
+  /* Disable default description field for checkbox:
+   because other widgets do not have description fields,
+   we add descriptions to each widget on the field level.
+  */
+  display: none;
+}
+
+.jp-FormGroup-content #root__description {
+  display: none;
+}
+
+.jp-FormGroup-content .jp-modifiedIndicator {
+  width: 5px;
+  background-color: var(--jp-brand-color2);
+  margin-top: 0;
+  margin-left: calc(var(--jp-private-settingeditor-modifier-indent) * -1);
+  flex-shrink: 0;
+}
+
+.jp-FormGroup-content .jp-modifiedIndicator.jp-errorIndicator {
+  background-color: var(--jp-error-color0);
+  margin-right: 0.5em;
+}
+
+/* RJSF ARRAY style */
+
+.jp-arrayFieldWrapper legend {
+  font-size: var(--jp-content-font-size2);
+  color: var(--jp-ui-font-color0);
+  flex-basis: 100%;
+  padding: 4px 0;
+  font-weight: var(--jp-content-heading-font-weight);
+  border-bottom: 1px solid var(--jp-border-color2);
+}
+
+.jp-arrayFieldWrapper .field-description {
+  padding: 4px 0;
+  white-space: pre-wrap;
+}
+
+.jp-arrayFieldWrapper .array-item {
+  width: 100%;
+  border: 1px solid var(--jp-border-color2);
+  border-radius: 4px;
+  margin: 4px;
+}
+
+.jp-ArrayOperations {
+  display: flex;
+  margin-left: 8px;
+}
+
+.jp-ArrayOperationsButton {
+  margin: 2px;
+}
+
+.jp-ArrayOperationsButton .jp-icon3[fill] {
+  fill: var(--jp-ui-font-color0);
+}
+
+button.jp-ArrayOperationsButton.jp-mod-styled:disabled {
+  cursor: not-allowed;
+  opacity: 0.5;
+}
+
+/* RJSF form validation error */
+
+.jp-FormGroup-content .validationErrors {
+  color: var(--jp-error-color0);
+}
+
+/* Hide panel level error as duplicated the field level error */
+.jp-FormGroup-content .panel.errors {
+  display: none;
+}
+
+/* RJSF normal content (settings-editor) */
+
+.jp-FormGroup-contentNormal {
+  display: flex;
+  align-items: center;
+  flex-wrap: wrap;
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-contentItem {
+  margin-left: 7px;
+  color: var(--jp-ui-font-color0);
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-description {
+  flex-basis: 100%;
+  padding: 4px 7px;
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-default {
+  flex-basis: 100%;
+  padding: 4px 7px;
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-fieldLabel {
+  font-size: var(--jp-content-font-size1);
+  font-weight: normal;
+  min-width: 120px;
+}
+
+.jp-FormGroup-contentNormal fieldset:not(:first-child) {
+  margin-left: 7px;
+}
+
+.jp-FormGroup-contentNormal .field-array-of-string .array-item {
+  /* Display `jp-ArrayOperations` buttons side-by-side with content except
+    for small screens where flex-wrap will place them one below the other.
+  */
+  display: flex;
+  align-items: center;
+  flex-wrap: wrap;
+}
+
+.jp-FormGroup-contentNormal .jp-objectFieldWrapper .form-group {
+  padding: 2px 8px 2px var(--jp-private-settingeditor-modifier-indent);
+  margin-top: 2px;
+}
+
+/* RJSF compact content (metadata-form) */
+
+.jp-FormGroup-content.jp-FormGroup-contentCompact {
+  width: 100%;
+}
+
+.jp-FormGroup-contentCompact .form-group {
+  display: flex;
+  padding: 0.5em 0.2em 0.5em 0;
+}
+
+.jp-FormGroup-contentCompact
+  .jp-FormGroup-compactTitle
+  .jp-FormGroup-description {
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-FormGroup-contentCompact .jp-FormGroup-fieldLabel {
+  padding-bottom: 0.3em;
+}
+
+.jp-FormGroup-contentCompact .jp-inputFieldWrapper .form-control {
+  width: 100%;
+  box-sizing: border-box;
+}
+
+.jp-FormGroup-contentCompact .jp-arrayFieldWrapper .jp-FormGroup-compactTitle {
+  padding-bottom: 7px;
+}
+
+.jp-FormGroup-contentCompact
+  .jp-objectFieldWrapper
+  .jp-objectFieldWrapper
+  .form-group {
+  padding: 2px 8px 2px var(--jp-private-settingeditor-modifier-indent);
+  margin-top: 2px;
+}
+
+.jp-FormGroup-contentCompact ul.error-detail {
+  margin-block-start: 0.5em;
+  margin-block-end: 0.5em;
+  padding-inline-start: 1em;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-SidePanel {
+  display: flex;
+  flex-direction: column;
+  min-width: var(--jp-sidebar-min-width);
+  overflow-y: auto;
+  color: var(--jp-ui-font-color1);
+  background: var(--jp-layout-color1);
+  font-size: var(--jp-ui-font-size1);
+}
+
+.jp-SidePanel-header {
+  flex: 0 0 auto;
+  display: flex;
+  border-bottom: var(--jp-border-width) solid var(--jp-border-color2);
+  font-size: var(--jp-ui-font-size0);
+  font-weight: 600;
+  letter-spacing: 1px;
+  margin: 0;
+  padding: 2px;
+  text-transform: uppercase;
+}
+
+.jp-SidePanel-toolbar {
+  flex: 0 0 auto;
+}
+
+.jp-SidePanel-content {
+  flex: 1 1 auto;
+}
+
+.jp-SidePanel-toolbar,
+.jp-AccordionPanel-toolbar {
+  height: var(--jp-private-toolbar-height);
+}
+
+.jp-SidePanel-toolbar.jp-Toolbar-micro {
+  display: none;
+}
+
+.lm-AccordionPanel .jp-AccordionPanel-title {
+  box-sizing: border-box;
+  line-height: 25px;
+  margin: 0;
+  display: flex;
+  align-items: center;
+  background: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  font-size: var(--jp-ui-font-size0);
+}
+
+.jp-AccordionPanel-title {
+  cursor: pointer;
+  user-select: none;
+  -moz-user-select: none;
+  -webkit-user-select: none;
+  text-transform: uppercase;
+}
+
+.lm-AccordionPanel[data-orientation='horizontal'] > .jp-AccordionPanel-title {
+  /* Title is rotated for horizontal accordion panel using CSS */
+  display: block;
+  transform-origin: top left;
+  transform: rotate(-90deg) translate(-100%);
+}
+
+.jp-AccordionPanel-title .lm-AccordionPanel-titleLabel {
+  user-select: none;
+  text-overflow: ellipsis;
+  white-space: nowrap;
+  overflow: hidden;
+}
+
+.jp-AccordionPanel-title .lm-AccordionPanel-titleCollapser {
+  transform: rotate(-90deg);
+  margin: auto 0;
+  height: 16px;
+}
+
+.jp-AccordionPanel-title.lm-mod-expanded .lm-AccordionPanel-titleCollapser {
+  transform: rotate(0deg);
+}
+
+.lm-AccordionPanel .jp-AccordionPanel-toolbar {
+  background: none;
+  box-shadow: none;
+  border: none;
+  margin-left: auto;
+}
+
+.lm-AccordionPanel .lm-SplitPanel-handle:hover {
+  background: var(--jp-layout-color3);
+}
+
+.jp-text-truncated {
+  overflow: hidden;
+  text-overflow: ellipsis;
+  white-space: nowrap;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Spinner {
+  position: absolute;
+  display: flex;
+  justify-content: center;
+  align-items: center;
+  z-index: 10;
+  left: 0;
+  top: 0;
+  width: 100%;
+  height: 100%;
+  background: var(--jp-layout-color0);
+  outline: none;
+}
+
+.jp-SpinnerContent {
+  font-size: 10px;
+  margin: 50px auto;
+  text-indent: -9999em;
+  width: 3em;
+  height: 3em;
+  border-radius: 50%;
+  background: var(--jp-brand-color3);
+  background: linear-gradient(
+    to right,
+    #f37626 10%,
+    rgba(255, 255, 255, 0) 42%
+  );
+  position: relative;
+  animation: load3 1s infinite linear, fadeIn 1s;
+}
+
+.jp-SpinnerContent::before {
+  width: 50%;
+  height: 50%;
+  background: #f37626;
+  border-radius: 100% 0 0;
+  position: absolute;
+  top: 0;
+  left: 0;
+  content: '';
+}
+
+.jp-SpinnerContent::after {
+  background: var(--jp-layout-color0);
+  width: 75%;
+  height: 75%;
+  border-radius: 50%;
+  content: '';
+  margin: auto;
+  position: absolute;
+  top: 0;
+  left: 0;
+  bottom: 0;
+  right: 0;
+}
+
+@keyframes fadeIn {
+  0% {
+    opacity: 0;
+  }
+
+  100% {
+    opacity: 1;
+  }
+}
+
+@keyframes load3 {
+  0% {
+    transform: rotate(0deg);
+  }
+
+  100% {
+    transform: rotate(360deg);
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+button.jp-mod-styled {
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color0);
+  border: none;
+  box-sizing: border-box;
+  text-align: center;
+  line-height: 32px;
+  height: 32px;
+  padding: 0 12px;
+  letter-spacing: 0.8px;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+}
+
+input.jp-mod-styled {
+  background: var(--jp-input-background);
+  height: 28px;
+  box-sizing: border-box;
+  border: var(--jp-border-width) solid var(--jp-border-color1);
+  padding-left: 7px;
+  padding-right: 7px;
+  font-size: var(--jp-ui-font-size2);
+  color: var(--jp-ui-font-color0);
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+}
+
+input[type='checkbox'].jp-mod-styled {
+  appearance: checkbox;
+  -webkit-appearance: checkbox;
+  -moz-appearance: checkbox;
+  height: auto;
+}
+
+input.jp-mod-styled:focus {
+  border: var(--jp-border-width) solid var(--md-blue-500);
+  box-shadow: inset 0 0 4px var(--md-blue-300);
+}
+
+.jp-select-wrapper {
+  display: flex;
+  position: relative;
+  flex-direction: column;
+  padding: 1px;
+  background-color: var(--jp-layout-color1);
+  box-sizing: border-box;
+  margin-bottom: 12px;
+}
+
+.jp-select-wrapper:not(.multiple) {
+  height: 28px;
+}
+
+.jp-select-wrapper.jp-mod-focused select.jp-mod-styled {
+  border: var(--jp-border-width) solid var(--jp-input-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+  background-color: var(--jp-input-active-background);
+}
+
+select.jp-mod-styled:hover {
+  cursor: pointer;
+  color: var(--jp-ui-font-color0);
+  background-color: var(--jp-input-hover-background);
+  box-shadow: inset 0 0 1px rgba(0, 0, 0, 0.5);
+}
+
+select.jp-mod-styled {
+  flex: 1 1 auto;
+  width: 100%;
+  font-size: var(--jp-ui-font-size2);
+  background: var(--jp-input-background);
+  color: var(--jp-ui-font-color0);
+  padding: 0 25px 0 8px;
+  border: var(--jp-border-width) solid var(--jp-input-border-color);
+  border-radius: 0;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+}
+
+select.jp-mod-styled:not([multiple]) {
+  height: 32px;
+}
+
+select.jp-mod-styled[multiple] {
+  max-height: 200px;
+  overflow-y: auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-switch {
+  display: flex;
+  align-items: center;
+  padding-left: 4px;
+  padding-right: 4px;
+  font-size: var(--jp-ui-font-size1);
+  background-color: transparent;
+  color: var(--jp-ui-font-color1);
+  border: none;
+  height: 20px;
+}
+
+.jp-switch:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-switch-label {
+  margin-right: 5px;
+  font-family: var(--jp-ui-font-family);
+}
+
+.jp-switch-track {
+  cursor: pointer;
+  background-color: var(--jp-switch-color, var(--jp-border-color1));
+  -webkit-transition: 0.4s;
+  transition: 0.4s;
+  border-radius: 34px;
+  height: 16px;
+  width: 35px;
+  position: relative;
+}
+
+.jp-switch-track::before {
+  content: '';
+  position: absolute;
+  height: 10px;
+  width: 10px;
+  margin: 3px;
+  left: 0;
+  background-color: var(--jp-ui-inverse-font-color1);
+  -webkit-transition: 0.4s;
+  transition: 0.4s;
+  border-radius: 50%;
+}
+
+.jp-switch[aria-checked='true'] .jp-switch-track {
+  background-color: var(--jp-switch-true-position-color, var(--jp-warn-color0));
+}
+
+.jp-switch[aria-checked='true'] .jp-switch-track::before {
+  /* track width (35) - margins (3 + 3) - thumb width (10) */
+  left: 19px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-toolbar-height: calc(
+    28px + var(--jp-border-width)
+  ); /* leave 28px for content */
+}
+
+.jp-Toolbar {
+  color: var(--jp-ui-font-color1);
+  flex: 0 0 auto;
+  display: flex;
+  flex-direction: row;
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  background: var(--jp-toolbar-background);
+  min-height: var(--jp-toolbar-micro-height);
+  padding: 2px;
+  z-index: 8;
+  overflow-x: hidden;
+}
+
+/* Toolbar items */
+
+.jp-Toolbar > .jp-Toolbar-item.jp-Toolbar-spacer {
+  flex-grow: 1;
+  flex-shrink: 1;
+}
+
+.jp-Toolbar-item.jp-Toolbar-kernelStatus {
+  display: inline-block;
+  width: 32px;
+  background-repeat: no-repeat;
+  background-position: center;
+  background-size: 16px;
+}
+
+.jp-Toolbar > .jp-Toolbar-item {
+  flex: 0 0 auto;
+  display: flex;
+  padding-left: 1px;
+  padding-right: 1px;
+  font-size: var(--jp-ui-font-size1);
+  line-height: var(--jp-private-toolbar-height);
+  height: 100%;
+}
+
+/* Toolbar buttons */
+
+/* This is the div we use to wrap the react component into a Widget */
+div.jp-ToolbarButton {
+  color: transparent;
+  border: none;
+  box-sizing: border-box;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+  padding: 0;
+  margin: 0;
+}
+
+button.jp-ToolbarButtonComponent {
+  background: var(--jp-layout-color1);
+  border: none;
+  box-sizing: border-box;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+  padding: 0 6px;
+  margin: 0;
+  height: 24px;
+  border-radius: var(--jp-border-radius);
+  display: flex;
+  align-items: center;
+  text-align: center;
+  font-size: 14px;
+  min-width: unset;
+  min-height: unset;
+}
+
+button.jp-ToolbarButtonComponent:disabled {
+  opacity: 0.4;
+}
+
+button.jp-ToolbarButtonComponent > span {
+  padding: 0;
+  flex: 0 0 auto;
+}
+
+button.jp-ToolbarButtonComponent .jp-ToolbarButtonComponent-label {
+  font-size: var(--jp-ui-font-size1);
+  line-height: 100%;
+  padding-left: 2px;
+  color: var(--jp-ui-font-color1);
+  font-family: var(--jp-ui-font-family);
+}
+
+#jp-main-dock-panel[data-mode='single-document']
+  .jp-MainAreaWidget
+  > .jp-Toolbar.jp-Toolbar-micro {
+  padding: 0;
+  min-height: 0;
+}
+
+#jp-main-dock-panel[data-mode='single-document']
+  .jp-MainAreaWidget
+  > .jp-Toolbar {
+  border: none;
+  box-shadow: none;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-WindowedPanel-outer {
+  position: relative;
+  overflow-y: auto;
+}
+
+.jp-WindowedPanel-inner {
+  position: relative;
+}
+
+.jp-WindowedPanel-window {
+  position: absolute;
+  left: 0;
+  right: 0;
+  overflow: visible;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/* Sibling imports */
+
+body {
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+}
+
+/* Disable native link decoration styles everywhere outside of dialog boxes */
+a {
+  text-decoration: unset;
+  color: unset;
+}
+
+a:hover {
+  text-decoration: unset;
+  color: unset;
+}
+
+/* Accessibility for links inside dialog box text */
+.jp-Dialog-content a {
+  text-decoration: revert;
+  color: var(--jp-content-link-color);
+}
+
+.jp-Dialog-content a:hover {
+  text-decoration: revert;
+}
+
+/* Styles for ui-components */
+.jp-Button {
+  color: var(--jp-ui-font-color2);
+  border-radius: var(--jp-border-radius);
+  padding: 0 12px;
+  font-size: var(--jp-ui-font-size1);
+
+  /* Copy from blueprint 3 */
+  display: inline-flex;
+  flex-direction: row;
+  border: none;
+  cursor: pointer;
+  align-items: center;
+  justify-content: center;
+  text-align: left;
+  vertical-align: middle;
+  min-height: 30px;
+  min-width: 30px;
+}
+
+.jp-Button:disabled {
+  cursor: not-allowed;
+}
+
+.jp-Button:empty {
+  padding: 0 !important;
+}
+
+.jp-Button.jp-mod-small {
+  min-height: 24px;
+  min-width: 24px;
+  font-size: 12px;
+  padding: 0 7px;
+}
+
+/* Use our own theme for hover styles */
+.jp-Button.jp-mod-minimal:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-Button.jp-mod-minimal {
+  background: none;
+}
+
+.jp-InputGroup {
+  display: block;
+  position: relative;
+}
+
+.jp-InputGroup input {
+  box-sizing: border-box;
+  border: none;
+  border-radius: 0;
+  background-color: transparent;
+  color: var(--jp-ui-font-color0);
+  box-shadow: inset 0 0 0 var(--jp-border-width) var(--jp-input-border-color);
+  padding-bottom: 0;
+  padding-top: 0;
+  padding-left: 10px;
+  padding-right: 28px;
+  position: relative;
+  width: 100%;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+  appearance: none;
+  font-size: 14px;
+  font-weight: 400;
+  height: 30px;
+  line-height: 30px;
+  outline: none;
+  vertical-align: middle;
+}
+
+.jp-InputGroup input:focus {
+  box-shadow: inset 0 0 0 var(--jp-border-width)
+      var(--jp-input-active-box-shadow-color),
+    inset 0 0 0 3px var(--jp-input-active-box-shadow-color);
+}
+
+.jp-InputGroup input:disabled {
+  cursor: not-allowed;
+  resize: block;
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-InputGroup input:disabled ~ span {
+  cursor: not-allowed;
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-InputGroup input::placeholder,
+input::placeholder {
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-InputGroupAction {
+  position: absolute;
+  bottom: 1px;
+  right: 0;
+  padding: 6px;
+}
+
+.jp-HTMLSelect.jp-DefaultStyle select {
+  background-color: initial;
+  border: none;
+  border-radius: 0;
+  box-shadow: none;
+  color: var(--jp-ui-font-color0);
+  display: block;
+  font-size: var(--jp-ui-font-size1);
+  font-family: var(--jp-ui-font-family);
+  height: 24px;
+  line-height: 14px;
+  padding: 0 25px 0 10px;
+  text-align: left;
+  -moz-appearance: none;
+  -webkit-appearance: none;
+}
+
+.jp-HTMLSelect.jp-DefaultStyle select:disabled {
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color2);
+  cursor: not-allowed;
+  resize: block;
+}
+
+.jp-HTMLSelect.jp-DefaultStyle select:disabled ~ span {
+  cursor: not-allowed;
+}
+
+/* Use our own theme for hover and option styles */
+/* stylelint-disable-next-line selector-max-type */
+.jp-HTMLSelect.jp-DefaultStyle select:hover,
+.jp-HTMLSelect.jp-DefaultStyle select > option {
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color0);
+}
+
+select {
+  box-sizing: border-box;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Styles
+|----------------------------------------------------------------------------*/
+
+.jp-StatusBar-Widget {
+  display: flex;
+  align-items: center;
+  background: var(--jp-layout-color2);
+  min-height: var(--jp-statusbar-height);
+  justify-content: space-between;
+  padding: 0 10px;
+}
+
+.jp-StatusBar-Left {
+  display: flex;
+  align-items: center;
+  flex-direction: row;
+}
+
+.jp-StatusBar-Middle {
+  display: flex;
+  align-items: center;
+}
+
+.jp-StatusBar-Right {
+  display: flex;
+  align-items: center;
+  flex-direction: row-reverse;
+}
+
+.jp-StatusBar-Item {
+  max-height: var(--jp-statusbar-height);
+  margin: 0 2px;
+  height: var(--jp-statusbar-height);
+  white-space: nowrap;
+  text-overflow: ellipsis;
+  color: var(--jp-ui-font-color1);
+  padding: 0 6px;
+}
+
+.jp-mod-highlighted:hover {
+  background-color: var(--jp-layout-color3);
+}
+
+.jp-mod-clicked {
+  background-color: var(--jp-brand-color1);
+}
+
+.jp-mod-clicked:hover {
+  background-color: var(--jp-brand-color0);
+}
+
+.jp-mod-clicked .jp-StatusBar-TextItem {
+  color: var(--jp-ui-inverse-font-color1);
+}
+
+.jp-StatusBar-HoverItem {
+  box-shadow: '0px 4px 4px rgba(0, 0, 0, 0.25)';
+}
+
+.jp-StatusBar-TextItem {
+  font-size: var(--jp-ui-font-size1);
+  font-family: var(--jp-ui-font-family);
+  line-height: 24px;
+  color: var(--jp-ui-font-color1);
+}
+
+.jp-StatusBar-GroupItem {
+  display: flex;
+  align-items: center;
+  flex-direction: row;
+}
+
+.jp-Statusbar-ProgressCircle svg {
+  display: block;
+  margin: 0 auto;
+  width: 16px;
+  height: 24px;
+  align-self: normal;
+}
+
+.jp-Statusbar-ProgressCircle path {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-Statusbar-ProgressBar-progress-bar {
+  height: 10px;
+  width: 100px;
+  border: solid 0.25px var(--jp-brand-color2);
+  border-radius: 3px;
+  overflow: hidden;
+  align-self: center;
+}
+
+.jp-Statusbar-ProgressBar-progress-bar > div {
+  background-color: var(--jp-brand-color2);
+  background-image: linear-gradient(
+    -45deg,
+    rgba(255, 255, 255, 0.2) 25%,
+    transparent 25%,
+    transparent 50%,
+    rgba(255, 255, 255, 0.2) 50%,
+    rgba(255, 255, 255, 0.2) 75%,
+    transparent 75%,
+    transparent
+  );
+  background-size: 40px 40px;
+  float: left;
+  width: 0%;
+  height: 100%;
+  font-size: 12px;
+  line-height: 14px;
+  color: #fff;
+  text-align: center;
+  animation: jp-Statusbar-ExecutionTime-progress-bar 2s linear infinite;
+}
+
+.jp-Statusbar-ProgressBar-progress-bar p {
+  color: var(--jp-ui-font-color1);
+  font-family: var(--jp-ui-font-family);
+  font-size: var(--jp-ui-font-size1);
+  line-height: 10px;
+  width: 100px;
+}
+
+@keyframes jp-Statusbar-ExecutionTime-progress-bar {
+  0% {
+    background-position: 0 0;
+  }
+
+  100% {
+    background-position: 40px 40px;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-commandpalette-search-height: 28px;
+}
+
+/*-----------------------------------------------------------------------------
+| Overall styles
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette {
+  padding-bottom: 0;
+  color: var(--jp-ui-font-color1);
+  background: var(--jp-layout-color1);
+
+  /* This is needed so that all font sizing of children done in ems is
+   * relative to this base size */
+  font-size: var(--jp-ui-font-size1);
+}
+
+/*-----------------------------------------------------------------------------
+| Modal variant
+|----------------------------------------------------------------------------*/
+
+.jp-ModalCommandPalette {
+  position: absolute;
+  z-index: 10000;
+  top: 38px;
+  left: 30%;
+  margin: 0;
+  padding: 4px;
+  width: 40%;
+  box-shadow: var(--jp-elevation-z4);
+  border-radius: 4px;
+  background: var(--jp-layout-color0);
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette {
+  max-height: 40vh;
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette .lm-close-icon::after {
+  display: none;
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette .lm-CommandPalette-header {
+  display: none;
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette .lm-CommandPalette-item {
+  margin-left: 4px;
+  margin-right: 4px;
+}
+
+.jp-ModalCommandPalette
+  .lm-CommandPalette
+  .lm-CommandPalette-item.lm-mod-disabled {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Search
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette-search {
+  padding: 4px;
+  background-color: var(--jp-layout-color1);
+  z-index: 2;
+}
+
+.lm-CommandPalette-wrapper {
+  overflow: overlay;
+  padding: 0 9px;
+  background-color: var(--jp-input-active-background);
+  height: 30px;
+  box-shadow: inset 0 0 0 var(--jp-border-width) var(--jp-input-border-color);
+}
+
+.lm-CommandPalette.lm-mod-focused .lm-CommandPalette-wrapper {
+  box-shadow: inset 0 0 0 1px var(--jp-input-active-box-shadow-color),
+    inset 0 0 0 3px var(--jp-input-active-box-shadow-color);
+}
+
+.jp-SearchIconGroup {
+  color: white;
+  background-color: var(--jp-brand-color1);
+  position: absolute;
+  top: 4px;
+  right: 4px;
+  padding: 5px 5px 1px;
+}
+
+.jp-SearchIconGroup svg {
+  height: 20px;
+  width: 20px;
+}
+
+.jp-SearchIconGroup .jp-icon3[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.lm-CommandPalette-input {
+  background: transparent;
+  width: calc(100% - 18px);
+  float: left;
+  border: none;
+  outline: none;
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color0);
+  line-height: var(--jp-private-commandpalette-search-height);
+}
+
+.lm-CommandPalette-input::-webkit-input-placeholder,
+.lm-CommandPalette-input::-moz-placeholder,
+.lm-CommandPalette-input:-ms-input-placeholder {
+  color: var(--jp-ui-font-color2);
+  font-size: var(--jp-ui-font-size1);
+}
+
+/*-----------------------------------------------------------------------------
+| Results
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette-header:first-child {
+  margin-top: 0;
+}
+
+.lm-CommandPalette-header {
+  border-bottom: solid var(--jp-border-width) var(--jp-border-color2);
+  color: var(--jp-ui-font-color1);
+  cursor: pointer;
+  display: flex;
+  font-size: var(--jp-ui-font-size0);
+  font-weight: 600;
+  letter-spacing: 1px;
+  margin-top: 8px;
+  padding: 8px 0 8px 12px;
+  text-transform: uppercase;
+}
+
+.lm-CommandPalette-header.lm-mod-active {
+  background: var(--jp-layout-color2);
+}
+
+.lm-CommandPalette-header > mark {
+  background-color: transparent;
+  font-weight: bold;
+  color: var(--jp-ui-font-color1);
+}
+
+.lm-CommandPalette-item {
+  padding: 4px 12px 4px 4px;
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  font-weight: 400;
+  display: flex;
+}
+
+.lm-CommandPalette-item.lm-mod-disabled {
+  color: var(--jp-ui-font-color2);
+}
+
+.lm-CommandPalette-item.lm-mod-active {
+  color: var(--jp-ui-inverse-font-color1);
+  background: var(--jp-brand-color1);
+}
+
+.lm-CommandPalette-item.lm-mod-active .lm-CommandPalette-itemLabel > mark {
+  color: var(--jp-ui-inverse-font-color0);
+}
+
+.lm-CommandPalette-item.lm-mod-active .jp-icon-selectable[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.lm-CommandPalette-item.lm-mod-active:hover:not(.lm-mod-disabled) {
+  color: var(--jp-ui-inverse-font-color1);
+  background: var(--jp-brand-color1);
+}
+
+.lm-CommandPalette-item:hover:not(.lm-mod-active):not(.lm-mod-disabled) {
+  background: var(--jp-layout-color2);
+}
+
+.lm-CommandPalette-itemContent {
+  overflow: hidden;
+}
+
+.lm-CommandPalette-itemLabel > mark {
+  color: var(--jp-ui-font-color0);
+  background-color: transparent;
+  font-weight: bold;
+}
+
+.lm-CommandPalette-item.lm-mod-disabled mark {
+  color: var(--jp-ui-font-color2);
+}
+
+.lm-CommandPalette-item .lm-CommandPalette-itemIcon {
+  margin: 0 4px 0 0;
+  position: relative;
+  width: 16px;
+  top: 2px;
+  flex: 0 0 auto;
+}
+
+.lm-CommandPalette-item.lm-mod-disabled .lm-CommandPalette-itemIcon {
+  opacity: 0.6;
+}
+
+.lm-CommandPalette-item .lm-CommandPalette-itemShortcut {
+  flex: 0 0 auto;
+}
+
+.lm-CommandPalette-itemCaption {
+  display: none;
+}
+
+.lm-CommandPalette-content {
+  background-color: var(--jp-layout-color1);
+}
+
+.lm-CommandPalette-content:empty::after {
+  content: 'No results';
+  margin: auto;
+  margin-top: 20px;
+  width: 100px;
+  display: block;
+  font-size: var(--jp-ui-font-size2);
+  font-family: var(--jp-ui-font-family);
+  font-weight: lighter;
+}
+
+.lm-CommandPalette-emptyMessage {
+  text-align: center;
+  margin-top: 24px;
+  line-height: 1.32;
+  padding: 0 8px;
+  color: var(--jp-content-font-color3);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Dialog {
+  position: absolute;
+  z-index: 10000;
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  justify-content: center;
+  top: 0;
+  left: 0;
+  margin: 0;
+  padding: 0;
+  width: 100%;
+  height: 100%;
+  background: var(--jp-dialog-background);
+}
+
+.jp-Dialog-content {
+  display: flex;
+  flex-direction: column;
+  margin-left: auto;
+  margin-right: auto;
+  background: var(--jp-layout-color1);
+  padding: 24px 24px 12px;
+  min-width: 300px;
+  min-height: 150px;
+  max-width: 1000px;
+  max-height: 500px;
+  box-sizing: border-box;
+  box-shadow: var(--jp-elevation-z20);
+  word-wrap: break-word;
+  border-radius: var(--jp-border-radius);
+
+  /* This is needed so that all font sizing of children done in ems is
+   * relative to this base size */
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color1);
+  resize: both;
+}
+
+.jp-Dialog-content.jp-Dialog-content-small {
+  max-width: 500px;
+}
+
+.jp-Dialog-button {
+  overflow: visible;
+}
+
+button.jp-Dialog-button:focus {
+  outline: 1px solid var(--jp-brand-color1);
+  outline-offset: 4px;
+  -moz-outline-radius: 0;
+}
+
+button.jp-Dialog-button:focus::-moz-focus-inner {
+  border: 0;
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-accept:focus,
+button.jp-Dialog-button.jp-mod-styled.jp-mod-warn:focus,
+button.jp-Dialog-button.jp-mod-styled.jp-mod-reject:focus {
+  outline-offset: 4px;
+  -moz-outline-radius: 0;
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-accept:focus {
+  outline: 1px solid var(--jp-accept-color-normal, var(--jp-brand-color1));
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-warn:focus {
+  outline: 1px solid var(--jp-warn-color-normal, var(--jp-error-color1));
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-reject:focus {
+  outline: 1px solid var(--jp-reject-color-normal, var(--md-grey-600));
+}
+
+button.jp-Dialog-close-button {
+  padding: 0;
+  height: 100%;
+  min-width: unset;
+  min-height: unset;
+}
+
+.jp-Dialog-header {
+  display: flex;
+  justify-content: space-between;
+  flex: 0 0 auto;
+  padding-bottom: 12px;
+  font-size: var(--jp-ui-font-size3);
+  font-weight: 400;
+  color: var(--jp-ui-font-color1);
+}
+
+.jp-Dialog-body {
+  display: flex;
+  flex-direction: column;
+  flex: 1 1 auto;
+  font-size: var(--jp-ui-font-size1);
+  background: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  overflow: auto;
+}
+
+.jp-Dialog-footer {
+  display: flex;
+  flex-direction: row;
+  justify-content: flex-end;
+  align-items: center;
+  flex: 0 0 auto;
+  margin-left: -12px;
+  margin-right: -12px;
+  padding: 12px;
+}
+
+.jp-Dialog-checkbox {
+  padding-right: 5px;
+}
+
+.jp-Dialog-checkbox > input:focus-visible {
+  outline: 1px solid var(--jp-input-active-border-color);
+  outline-offset: 1px;
+}
+
+.jp-Dialog-spacer {
+  flex: 1 1 auto;
+}
+
+.jp-Dialog-title {
+  overflow: hidden;
+  white-space: nowrap;
+  text-overflow: ellipsis;
+}
+
+.jp-Dialog-body > .jp-select-wrapper {
+  width: 100%;
+}
+
+.jp-Dialog-body > button {
+  padding: 0 16px;
+}
+
+.jp-Dialog-body > label {
+  line-height: 1.4;
+  color: var(--jp-ui-font-color0);
+}
+
+.jp-Dialog-button.jp-mod-styled:not(:last-child) {
+  margin-right: 12px;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-Input-Boolean-Dialog {
+  flex-direction: row-reverse;
+  align-items: end;
+  width: 100%;
+}
+
+.jp-Input-Boolean-Dialog > label {
+  flex: 1 1 auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-MainAreaWidget > :focus {
+  outline: none;
+}
+
+.jp-MainAreaWidget .jp-MainAreaWidget-error {
+  padding: 6px;
+}
+
+.jp-MainAreaWidget .jp-MainAreaWidget-error > pre {
+  width: auto;
+  padding: 10px;
+  background: var(--jp-error-color3);
+  border: var(--jp-border-width) solid var(--jp-error-color1);
+  border-radius: var(--jp-border-radius);
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  white-space: pre-wrap;
+  word-wrap: break-word;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/**
+ * google-material-color v1.2.6
+ * https://github.com/danlevan/google-material-color
+ */
+:root {
+  --md-red-50: #ffebee;
+  --md-red-100: #ffcdd2;
+  --md-red-200: #ef9a9a;
+  --md-red-300: #e57373;
+  --md-red-400: #ef5350;
+  --md-red-500: #f44336;
+  --md-red-600: #e53935;
+  --md-red-700: #d32f2f;
+  --md-red-800: #c62828;
+  --md-red-900: #b71c1c;
+  --md-red-A100: #ff8a80;
+  --md-red-A200: #ff5252;
+  --md-red-A400: #ff1744;
+  --md-red-A700: #d50000;
+  --md-pink-50: #fce4ec;
+  --md-pink-100: #f8bbd0;
+  --md-pink-200: #f48fb1;
+  --md-pink-300: #f06292;
+  --md-pink-400: #ec407a;
+  --md-pink-500: #e91e63;
+  --md-pink-600: #d81b60;
+  --md-pink-700: #c2185b;
+  --md-pink-800: #ad1457;
+  --md-pink-900: #880e4f;
+  --md-pink-A100: #ff80ab;
+  --md-pink-A200: #ff4081;
+  --md-pink-A400: #f50057;
+  --md-pink-A700: #c51162;
+  --md-purple-50: #f3e5f5;
+  --md-purple-100: #e1bee7;
+  --md-purple-200: #ce93d8;
+  --md-purple-300: #ba68c8;
+  --md-purple-400: #ab47bc;
+  --md-purple-500: #9c27b0;
+  --md-purple-600: #8e24aa;
+  --md-purple-700: #7b1fa2;
+  --md-purple-800: #6a1b9a;
+  --md-purple-900: #4a148c;
+  --md-purple-A100: #ea80fc;
+  --md-purple-A200: #e040fb;
+  --md-purple-A400: #d500f9;
+  --md-purple-A700: #a0f;
+  --md-deep-purple-50: #ede7f6;
+  --md-deep-purple-100: #d1c4e9;
+  --md-deep-purple-200: #b39ddb;
+  --md-deep-purple-300: #9575cd;
+  --md-deep-purple-400: #7e57c2;
+  --md-deep-purple-500: #673ab7;
+  --md-deep-purple-600: #5e35b1;
+  --md-deep-purple-700: #512da8;
+  --md-deep-purple-800: #4527a0;
+  --md-deep-purple-900: #311b92;
+  --md-deep-purple-A100: #b388ff;
+  --md-deep-purple-A200: #7c4dff;
+  --md-deep-purple-A400: #651fff;
+  --md-deep-purple-A700: #6200ea;
+  --md-indigo-50: #e8eaf6;
+  --md-indigo-100: #c5cae9;
+  --md-indigo-200: #9fa8da;
+  --md-indigo-300: #7986cb;
+  --md-indigo-400: #5c6bc0;
+  --md-indigo-500: #3f51b5;
+  --md-indigo-600: #3949ab;
+  --md-indigo-700: #303f9f;
+  --md-indigo-800: #283593;
+  --md-indigo-900: #1a237e;
+  --md-indigo-A100: #8c9eff;
+  --md-indigo-A200: #536dfe;
+  --md-indigo-A400: #3d5afe;
+  --md-indigo-A700: #304ffe;
+  --md-blue-50: #e3f2fd;
+  --md-blue-100: #bbdefb;
+  --md-blue-200: #90caf9;
+  --md-blue-300: #64b5f6;
+  --md-blue-400: #42a5f5;
+  --md-blue-500: #2196f3;
+  --md-blue-600: #1e88e5;
+  --md-blue-700: #1976d2;
+  --md-blue-800: #1565c0;
+  --md-blue-900: #0d47a1;
+  --md-blue-A100: #82b1ff;
+  --md-blue-A200: #448aff;
+  --md-blue-A400: #2979ff;
+  --md-blue-A700: #2962ff;
+  --md-light-blue-50: #e1f5fe;
+  --md-light-blue-100: #b3e5fc;
+  --md-light-blue-200: #81d4fa;
+  --md-light-blue-300: #4fc3f7;
+  --md-light-blue-400: #29b6f6;
+  --md-light-blue-500: #03a9f4;
+  --md-light-blue-600: #039be5;
+  --md-light-blue-700: #0288d1;
+  --md-light-blue-800: #0277bd;
+  --md-light-blue-900: #01579b;
+  --md-light-blue-A100: #80d8ff;
+  --md-light-blue-A200: #40c4ff;
+  --md-light-blue-A400: #00b0ff;
+  --md-light-blue-A700: #0091ea;
+  --md-cyan-50: #e0f7fa;
+  --md-cyan-100: #b2ebf2;
+  --md-cyan-200: #80deea;
+  --md-cyan-300: #4dd0e1;
+  --md-cyan-400: #26c6da;
+  --md-cyan-500: #00bcd4;
+  --md-cyan-600: #00acc1;
+  --md-cyan-700: #0097a7;
+  --md-cyan-800: #00838f;
+  --md-cyan-900: #006064;
+  --md-cyan-A100: #84ffff;
+  --md-cyan-A200: #18ffff;
+  --md-cyan-A400: #00e5ff;
+  --md-cyan-A700: #00b8d4;
+  --md-teal-50: #e0f2f1;
+  --md-teal-100: #b2dfdb;
+  --md-teal-200: #80cbc4;
+  --md-teal-300: #4db6ac;
+  --md-teal-400: #26a69a;
+  --md-teal-500: #009688;
+  --md-teal-600: #00897b;
+  --md-teal-700: #00796b;
+  --md-teal-800: #00695c;
+  --md-teal-900: #004d40;
+  --md-teal-A100: #a7ffeb;
+  --md-teal-A200: #64ffda;
+  --md-teal-A400: #1de9b6;
+  --md-teal-A700: #00bfa5;
+  --md-green-50: #e8f5e9;
+  --md-green-100: #c8e6c9;
+  --md-green-200: #a5d6a7;
+  --md-green-300: #81c784;
+  --md-green-400: #66bb6a;
+  --md-green-500: #4caf50;
+  --md-green-600: #43a047;
+  --md-green-700: #388e3c;
+  --md-green-800: #2e7d32;
+  --md-green-900: #1b5e20;
+  --md-green-A100: #b9f6ca;
+  --md-green-A200: #69f0ae;
+  --md-green-A400: #00e676;
+  --md-green-A700: #00c853;
+  --md-light-green-50: #f1f8e9;
+  --md-light-green-100: #dcedc8;
+  --md-light-green-200: #c5e1a5;
+  --md-light-green-300: #aed581;
+  --md-light-green-400: #9ccc65;
+  --md-light-green-500: #8bc34a;
+  --md-light-green-600: #7cb342;
+  --md-light-green-700: #689f38;
+  --md-light-green-800: #558b2f;
+  --md-light-green-900: #33691e;
+  --md-light-green-A100: #ccff90;
+  --md-light-green-A200: #b2ff59;
+  --md-light-green-A400: #76ff03;
+  --md-light-green-A700: #64dd17;
+  --md-lime-50: #f9fbe7;
+  --md-lime-100: #f0f4c3;
+  --md-lime-200: #e6ee9c;
+  --md-lime-300: #dce775;
+  --md-lime-400: #d4e157;
+  --md-lime-500: #cddc39;
+  --md-lime-600: #c0ca33;
+  --md-lime-700: #afb42b;
+  --md-lime-800: #9e9d24;
+  --md-lime-900: #827717;
+  --md-lime-A100: #f4ff81;
+  --md-lime-A200: #eeff41;
+  --md-lime-A400: #c6ff00;
+  --md-lime-A700: #aeea00;
+  --md-yellow-50: #fffde7;
+  --md-yellow-100: #fff9c4;
+  --md-yellow-200: #fff59d;
+  --md-yellow-300: #fff176;
+  --md-yellow-400: #ffee58;
+  --md-yellow-500: #ffeb3b;
+  --md-yellow-600: #fdd835;
+  --md-yellow-700: #fbc02d;
+  --md-yellow-800: #f9a825;
+  --md-yellow-900: #f57f17;
+  --md-yellow-A100: #ffff8d;
+  --md-yellow-A200: #ff0;
+  --md-yellow-A400: #ffea00;
+  --md-yellow-A700: #ffd600;
+  --md-amber-50: #fff8e1;
+  --md-amber-100: #ffecb3;
+  --md-amber-200: #ffe082;
+  --md-amber-300: #ffd54f;
+  --md-amber-400: #ffca28;
+  --md-amber-500: #ffc107;
+  --md-amber-600: #ffb300;
+  --md-amber-700: #ffa000;
+  --md-amber-800: #ff8f00;
+  --md-amber-900: #ff6f00;
+  --md-amber-A100: #ffe57f;
+  --md-amber-A200: #ffd740;
+  --md-amber-A400: #ffc400;
+  --md-amber-A700: #ffab00;
+  --md-orange-50: #fff3e0;
+  --md-orange-100: #ffe0b2;
+  --md-orange-200: #ffcc80;
+  --md-orange-300: #ffb74d;
+  --md-orange-400: #ffa726;
+  --md-orange-500: #ff9800;
+  --md-orange-600: #fb8c00;
+  --md-orange-700: #f57c00;
+  --md-orange-800: #ef6c00;
+  --md-orange-900: #e65100;
+  --md-orange-A100: #ffd180;
+  --md-orange-A200: #ffab40;
+  --md-orange-A400: #ff9100;
+  --md-orange-A700: #ff6d00;
+  --md-deep-orange-50: #fbe9e7;
+  --md-deep-orange-100: #ffccbc;
+  --md-deep-orange-200: #ffab91;
+  --md-deep-orange-300: #ff8a65;
+  --md-deep-orange-400: #ff7043;
+  --md-deep-orange-500: #ff5722;
+  --md-deep-orange-600: #f4511e;
+  --md-deep-orange-700: #e64a19;
+  --md-deep-orange-800: #d84315;
+  --md-deep-orange-900: #bf360c;
+  --md-deep-orange-A100: #ff9e80;
+  --md-deep-orange-A200: #ff6e40;
+  --md-deep-orange-A400: #ff3d00;
+  --md-deep-orange-A700: #dd2c00;
+  --md-brown-50: #efebe9;
+  --md-brown-100: #d7ccc8;
+  --md-brown-200: #bcaaa4;
+  --md-brown-300: #a1887f;
+  --md-brown-400: #8d6e63;
+  --md-brown-500: #795548;
+  --md-brown-600: #6d4c41;
+  --md-brown-700: #5d4037;
+  --md-brown-800: #4e342e;
+  --md-brown-900: #3e2723;
+  --md-grey-50: #fafafa;
+  --md-grey-100: #f5f5f5;
+  --md-grey-200: #eee;
+  --md-grey-300: #e0e0e0;
+  --md-grey-400: #bdbdbd;
+  --md-grey-500: #9e9e9e;
+  --md-grey-600: #757575;
+  --md-grey-700: #616161;
+  --md-grey-800: #424242;
+  --md-grey-900: #212121;
+  --md-blue-grey-50: #eceff1;
+  --md-blue-grey-100: #cfd8dc;
+  --md-blue-grey-200: #b0bec5;
+  --md-blue-grey-300: #90a4ae;
+  --md-blue-grey-400: #78909c;
+  --md-blue-grey-500: #607d8b;
+  --md-blue-grey-600: #546e7a;
+  --md-blue-grey-700: #455a64;
+  --md-blue-grey-800: #37474f;
+  --md-blue-grey-900: #263238;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| RenderedText
+|----------------------------------------------------------------------------*/
+
+:root {
+  /* This is the padding value to fill the gaps between lines containing spans with background color. */
+  --jp-private-code-span-padding: calc(
+    (var(--jp-code-line-height) - 1) * var(--jp-code-font-size) / 2
+  );
+}
+
+.jp-RenderedText {
+  text-align: left;
+  padding-left: var(--jp-code-padding);
+  line-height: var(--jp-code-line-height);
+  font-family: var(--jp-code-font-family);
+}
+
+.jp-RenderedText pre,
+.jp-RenderedJavaScript pre,
+.jp-RenderedHTMLCommon pre {
+  color: var(--jp-content-font-color1);
+  font-size: var(--jp-code-font-size);
+  border: none;
+  margin: 0;
+  padding: 0;
+}
+
+.jp-RenderedText pre a:link {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+.jp-RenderedText pre a:hover {
+  text-decoration: underline;
+  color: var(--jp-content-link-color);
+}
+
+.jp-RenderedText pre a:visited {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+/* console foregrounds and backgrounds */
+.jp-RenderedText pre .ansi-black-fg {
+  color: #3e424d;
+}
+
+.jp-RenderedText pre .ansi-red-fg {
+  color: #e75c58;
+}
+
+.jp-RenderedText pre .ansi-green-fg {
+  color: #00a250;
+}
+
+.jp-RenderedText pre .ansi-yellow-fg {
+  color: #ddb62b;
+}
+
+.jp-RenderedText pre .ansi-blue-fg {
+  color: #208ffb;
+}
+
+.jp-RenderedText pre .ansi-magenta-fg {
+  color: #d160c4;
+}
+
+.jp-RenderedText pre .ansi-cyan-fg {
+  color: #60c6c8;
+}
+
+.jp-RenderedText pre .ansi-white-fg {
+  color: #c5c1b4;
+}
+
+.jp-RenderedText pre .ansi-black-bg {
+  background-color: #3e424d;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-red-bg {
+  background-color: #e75c58;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-green-bg {
+  background-color: #00a250;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-yellow-bg {
+  background-color: #ddb62b;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-blue-bg {
+  background-color: #208ffb;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-magenta-bg {
+  background-color: #d160c4;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-cyan-bg {
+  background-color: #60c6c8;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-white-bg {
+  background-color: #c5c1b4;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-black-intense-fg {
+  color: #282c36;
+}
+
+.jp-RenderedText pre .ansi-red-intense-fg {
+  color: #b22b31;
+}
+
+.jp-RenderedText pre .ansi-green-intense-fg {
+  color: #007427;
+}
+
+.jp-RenderedText pre .ansi-yellow-intense-fg {
+  color: #b27d12;
+}
+
+.jp-RenderedText pre .ansi-blue-intense-fg {
+  color: #0065ca;
+}
+
+.jp-RenderedText pre .ansi-magenta-intense-fg {
+  color: #a03196;
+}
+
+.jp-RenderedText pre .ansi-cyan-intense-fg {
+  color: #258f8f;
+}
+
+.jp-RenderedText pre .ansi-white-intense-fg {
+  color: #a1a6b2;
+}
+
+.jp-RenderedText pre .ansi-black-intense-bg {
+  background-color: #282c36;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-red-intense-bg {
+  background-color: #b22b31;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-green-intense-bg {
+  background-color: #007427;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-yellow-intense-bg {
+  background-color: #b27d12;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-blue-intense-bg {
+  background-color: #0065ca;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-magenta-intense-bg {
+  background-color: #a03196;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-cyan-intense-bg {
+  background-color: #258f8f;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-white-intense-bg {
+  background-color: #a1a6b2;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-default-inverse-fg {
+  color: var(--jp-ui-inverse-font-color0);
+}
+
+.jp-RenderedText pre .ansi-default-inverse-bg {
+  background-color: var(--jp-inverse-layout-color0);
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-bold {
+  font-weight: bold;
+}
+
+.jp-RenderedText pre .ansi-underline {
+  text-decoration: underline;
+}
+
+.jp-RenderedText[data-mime-type='application/vnd.jupyter.stderr'] {
+  background: var(--jp-rendermime-error-background);
+  padding-top: var(--jp-code-padding);
+}
+
+/*-----------------------------------------------------------------------------
+| RenderedLatex
+|----------------------------------------------------------------------------*/
+
+.jp-RenderedLatex {
+  color: var(--jp-content-font-color1);
+  font-size: var(--jp-content-font-size1);
+  line-height: var(--jp-content-line-height);
+}
+
+/* Left-justify outputs.*/
+.jp-OutputArea-output.jp-RenderedLatex {
+  padding: var(--jp-code-padding);
+  text-align: left;
+}
+
+/*-----------------------------------------------------------------------------
+| RenderedHTML
+|----------------------------------------------------------------------------*/
+
+.jp-RenderedHTMLCommon {
+  color: var(--jp-content-font-color1);
+  font-family: var(--jp-content-font-family);
+  font-size: var(--jp-content-font-size1);
+  line-height: var(--jp-content-line-height);
+
+  /* Give a bit more R padding on Markdown text to keep line lengths reasonable */
+  padding-right: 20px;
+}
+
+.jp-RenderedHTMLCommon em {
+  font-style: italic;
+}
+
+.jp-RenderedHTMLCommon strong {
+  font-weight: bold;
+}
+
+.jp-RenderedHTMLCommon u {
+  text-decoration: underline;
+}
+
+.jp-RenderedHTMLCommon a:link {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+.jp-RenderedHTMLCommon a:hover {
+  text-decoration: underline;
+  color: var(--jp-content-link-color);
+}
+
+.jp-RenderedHTMLCommon a:visited {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+/* Headings */
+
+.jp-RenderedHTMLCommon h1,
+.jp-RenderedHTMLCommon h2,
+.jp-RenderedHTMLCommon h3,
+.jp-RenderedHTMLCommon h4,
+.jp-RenderedHTMLCommon h5,
+.jp-RenderedHTMLCommon h6 {
+  line-height: var(--jp-content-heading-line-height);
+  font-weight: var(--jp-content-heading-font-weight);
+  font-style: normal;
+  margin: var(--jp-content-heading-margin-top) 0
+    var(--jp-content-heading-margin-bottom) 0;
+}
+
+.jp-RenderedHTMLCommon h1:first-child,
+.jp-RenderedHTMLCommon h2:first-child,
+.jp-RenderedHTMLCommon h3:first-child,
+.jp-RenderedHTMLCommon h4:first-child,
+.jp-RenderedHTMLCommon h5:first-child,
+.jp-RenderedHTMLCommon h6:first-child {
+  margin-top: calc(0.5 * var(--jp-content-heading-margin-top));
+}
+
+.jp-RenderedHTMLCommon h1:last-child,
+.jp-RenderedHTMLCommon h2:last-child,
+.jp-RenderedHTMLCommon h3:last-child,
+.jp-RenderedHTMLCommon h4:last-child,
+.jp-RenderedHTMLCommon h5:last-child,
+.jp-RenderedHTMLCommon h6:last-child {
+  margin-bottom: calc(0.5 * var(--jp-content-heading-margin-bottom));
+}
+
+.jp-RenderedHTMLCommon h1 {
+  font-size: var(--jp-content-font-size5);
+}
+
+.jp-RenderedHTMLCommon h2 {
+  font-size: var(--jp-content-font-size4);
+}
+
+.jp-RenderedHTMLCommon h3 {
+  font-size: var(--jp-content-font-size3);
+}
+
+.jp-RenderedHTMLCommon h4 {
+  font-size: var(--jp-content-font-size2);
+}
+
+.jp-RenderedHTMLCommon h5 {
+  font-size: var(--jp-content-font-size1);
+}
+
+.jp-RenderedHTMLCommon h6 {
+  font-size: var(--jp-content-font-size0);
+}
+
+/* Lists */
+
+/* stylelint-disable selector-max-type, selector-max-compound-selectors */
+
+.jp-RenderedHTMLCommon ul:not(.list-inline),
+.jp-RenderedHTMLCommon ol:not(.list-inline) {
+  padding-left: 2em;
+}
+
+.jp-RenderedHTMLCommon ul {
+  list-style: disc;
+}
+
+.jp-RenderedHTMLCommon ul ul {
+  list-style: square;
+}
+
+.jp-RenderedHTMLCommon ul ul ul {
+  list-style: circle;
+}
+
+.jp-RenderedHTMLCommon ol {
+  list-style: decimal;
+}
+
+.jp-RenderedHTMLCommon ol ol {
+  list-style: upper-alpha;
+}
+
+.jp-RenderedHTMLCommon ol ol ol {
+  list-style: lower-alpha;
+}
+
+.jp-RenderedHTMLCommon ol ol ol ol {
+  list-style: lower-roman;
+}
+
+.jp-RenderedHTMLCommon ol ol ol ol ol {
+  list-style: decimal;
+}
+
+.jp-RenderedHTMLCommon ol,
+.jp-RenderedHTMLCommon ul {
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon ul ul,
+.jp-RenderedHTMLCommon ul ol,
+.jp-RenderedHTMLCommon ol ul,
+.jp-RenderedHTMLCommon ol ol {
+  margin-bottom: 0;
+}
+
+/* stylelint-enable selector-max-type, selector-max-compound-selectors */
+
+.jp-RenderedHTMLCommon hr {
+  color: var(--jp-border-color2);
+  background-color: var(--jp-border-color1);
+  margin-top: 1em;
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon > pre {
+  margin: 1.5em 2em;
+}
+
+.jp-RenderedHTMLCommon pre,
+.jp-RenderedHTMLCommon code {
+  border: 0;
+  background-color: var(--jp-layout-color0);
+  color: var(--jp-content-font-color1);
+  font-family: var(--jp-code-font-family);
+  font-size: inherit;
+  line-height: var(--jp-code-line-height);
+  padding: 0;
+  white-space: pre-wrap;
+}
+
+.jp-RenderedHTMLCommon :not(pre) > code {
+  background-color: var(--jp-layout-color2);
+  padding: 1px 5px;
+}
+
+/* Tables */
+
+.jp-RenderedHTMLCommon table {
+  border-collapse: collapse;
+  border-spacing: 0;
+  border: none;
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  table-layout: fixed;
+  margin-left: auto;
+  margin-bottom: 1em;
+  margin-right: auto;
+}
+
+.jp-RenderedHTMLCommon thead {
+  border-bottom: var(--jp-border-width) solid var(--jp-border-color1);
+  vertical-align: bottom;
+}
+
+.jp-RenderedHTMLCommon td,
+.jp-RenderedHTMLCommon th,
+.jp-RenderedHTMLCommon tr {
+  vertical-align: middle;
+  padding: 0.5em;
+  line-height: normal;
+  white-space: normal;
+  max-width: none;
+  border: none;
+}
+
+.jp-RenderedMarkdown.jp-RenderedHTMLCommon td,
+.jp-RenderedMarkdown.jp-RenderedHTMLCommon th {
+  max-width: none;
+}
+
+:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon td,
+:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon th,
+:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon tr {
+  text-align: right;
+}
+
+.jp-RenderedHTMLCommon th {
+  font-weight: bold;
+}
+
+.jp-RenderedHTMLCommon tbody tr:nth-child(odd) {
+  background: var(--jp-layout-color0);
+}
+
+.jp-RenderedHTMLCommon tbody tr:nth-child(even) {
+  background: var(--jp-rendermime-table-row-background);
+}
+
+.jp-RenderedHTMLCommon tbody tr:hover {
+  background: var(--jp-rendermime-table-row-hover-background);
+}
+
+.jp-RenderedHTMLCommon p {
+  text-align: left;
+  margin: 0;
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon img {
+  -moz-force-broken-image-icon: 1;
+}
+
+/* Restrict to direct children as other images could be nested in other content. */
+.jp-RenderedHTMLCommon > img {
+  display: block;
+  margin-left: 0;
+  margin-right: 0;
+  margin-bottom: 1em;
+}
+
+/* Change color behind transparent images if they need it... */
+[data-jp-theme-light='false'] .jp-RenderedImage img.jp-needs-light-background {
+  background-color: var(--jp-inverse-layout-color1);
+}
+
+[data-jp-theme-light='true'] .jp-RenderedImage img.jp-needs-dark-background {
+  background-color: var(--jp-inverse-layout-color1);
+}
+
+.jp-RenderedHTMLCommon img,
+.jp-RenderedImage img,
+.jp-RenderedHTMLCommon svg,
+.jp-RenderedSVG svg {
+  max-width: 100%;
+  height: auto;
+}
+
+.jp-RenderedHTMLCommon img.jp-mod-unconfined,
+.jp-RenderedImage img.jp-mod-unconfined,
+.jp-RenderedHTMLCommon svg.jp-mod-unconfined,
+.jp-RenderedSVG svg.jp-mod-unconfined {
+  max-width: none;
+}
+
+.jp-RenderedHTMLCommon .alert {
+  padding: var(--jp-notebook-padding);
+  border: var(--jp-border-width) solid transparent;
+  border-radius: var(--jp-border-radius);
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon .alert-info {
+  color: var(--jp-info-color0);
+  background-color: var(--jp-info-color3);
+  border-color: var(--jp-info-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-info hr {
+  border-color: var(--jp-info-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-info > p:last-child,
+.jp-RenderedHTMLCommon .alert-info > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon .alert-warning {
+  color: var(--jp-warn-color0);
+  background-color: var(--jp-warn-color3);
+  border-color: var(--jp-warn-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-warning hr {
+  border-color: var(--jp-warn-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-warning > p:last-child,
+.jp-RenderedHTMLCommon .alert-warning > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon .alert-success {
+  color: var(--jp-success-color0);
+  background-color: var(--jp-success-color3);
+  border-color: var(--jp-success-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-success hr {
+  border-color: var(--jp-success-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-success > p:last-child,
+.jp-RenderedHTMLCommon .alert-success > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon .alert-danger {
+  color: var(--jp-error-color0);
+  background-color: var(--jp-error-color3);
+  border-color: var(--jp-error-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-danger hr {
+  border-color: var(--jp-error-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-danger > p:last-child,
+.jp-RenderedHTMLCommon .alert-danger > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon blockquote {
+  margin: 1em 2em;
+  padding: 0 1em;
+  border-left: 5px solid var(--jp-border-color2);
+}
+
+a.jp-InternalAnchorLink {
+  visibility: hidden;
+  margin-left: 8px;
+  color: var(--md-blue-800);
+}
+
+h1:hover .jp-InternalAnchorLink,
+h2:hover .jp-InternalAnchorLink,
+h3:hover .jp-InternalAnchorLink,
+h4:hover .jp-InternalAnchorLink,
+h5:hover .jp-InternalAnchorLink,
+h6:hover .jp-InternalAnchorLink {
+  visibility: visible;
+}
+
+.jp-RenderedHTMLCommon kbd {
+  background-color: var(--jp-rendermime-table-row-background);
+  border: 1px solid var(--jp-border-color0);
+  border-bottom-color: var(--jp-border-color2);
+  border-radius: 3px;
+  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.25);
+  display: inline-block;
+  font-size: var(--jp-ui-font-size0);
+  line-height: 1em;
+  padding: 0.2em 0.5em;
+}
+
+/* Most direct children of .jp-RenderedHTMLCommon have a margin-bottom of 1.0.
+ * At the bottom of cells this is a bit too much as there is also spacing
+ * between cells. Going all the way to 0 gets too tight between markdown and
+ * code cells.
+ */
+.jp-RenderedHTMLCommon > *:last-child {
+  margin-bottom: 0.5em;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-cursor-backdrop {
+  position: fixed;
+  width: 200px;
+  height: 200px;
+  margin-top: -100px;
+  margin-left: -100px;
+  will-change: transform;
+  z-index: 100;
+}
+
+.lm-mod-drag-image {
+  will-change: transform;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-lineFormSearch {
+  padding: 4px 12px;
+  background-color: var(--jp-layout-color2);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  z-index: 2;
+  font-size: var(--jp-ui-font-size1);
+}
+
+.jp-lineFormCaption {
+  font-size: var(--jp-ui-font-size0);
+  line-height: var(--jp-ui-font-size1);
+  margin-top: 4px;
+  color: var(--jp-ui-font-color0);
+}
+
+.jp-baseLineForm {
+  border: none;
+  border-radius: 0;
+  position: absolute;
+  background-size: 16px;
+  background-repeat: no-repeat;
+  background-position: center;
+  outline: none;
+}
+
+.jp-lineFormButtonContainer {
+  top: 4px;
+  right: 8px;
+  height: 24px;
+  padding: 0 12px;
+  width: 12px;
+}
+
+.jp-lineFormButtonIcon {
+  top: 0;
+  right: 0;
+  background-color: var(--jp-brand-color1);
+  height: 100%;
+  width: 100%;
+  box-sizing: border-box;
+  padding: 4px 6px;
+}
+
+.jp-lineFormButton {
+  top: 0;
+  right: 0;
+  background-color: transparent;
+  height: 100%;
+  width: 100%;
+  box-sizing: border-box;
+}
+
+.jp-lineFormWrapper {
+  overflow: hidden;
+  padding: 0 8px;
+  border: 1px solid var(--jp-border-color0);
+  background-color: var(--jp-input-active-background);
+  height: 22px;
+}
+
+.jp-lineFormWrapperFocusWithin {
+  border: var(--jp-border-width) solid var(--md-blue-500);
+  box-shadow: inset 0 0 4px var(--md-blue-300);
+}
+
+.jp-lineFormInput {
+  background: transparent;
+  width: 200px;
+  height: 100%;
+  border: none;
+  outline: none;
+  color: var(--jp-ui-font-color0);
+  line-height: 28px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-JSONEditor {
+  display: flex;
+  flex-direction: column;
+  width: 100%;
+}
+
+.jp-JSONEditor-host {
+  flex: 1 1 auto;
+  border: var(--jp-border-width) solid var(--jp-input-border-color);
+  border-radius: 0;
+  background: var(--jp-layout-color0);
+  min-height: 50px;
+  padding: 1px;
+}
+
+.jp-JSONEditor.jp-mod-error .jp-JSONEditor-host {
+  border-color: red;
+  outline-color: red;
+}
+
+.jp-JSONEditor-header {
+  display: flex;
+  flex: 1 0 auto;
+  padding: 0 0 0 12px;
+}
+
+.jp-JSONEditor-header label {
+  flex: 0 0 auto;
+}
+
+.jp-JSONEditor-commitButton {
+  height: 16px;
+  width: 16px;
+  background-size: 18px;
+  background-repeat: no-repeat;
+  background-position: center;
+}
+
+.jp-JSONEditor-host.jp-mod-focused {
+  background-color: var(--jp-input-active-background);
+  border: 1px solid var(--jp-input-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+}
+
+.jp-Editor.jp-mod-dropTarget {
+  border: var(--jp-border-width) solid var(--jp-input-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+.jp-DocumentSearch-input {
+  border: none;
+  outline: none;
+  color: var(--jp-ui-font-color0);
+  font-size: var(--jp-ui-font-size1);
+  background-color: var(--jp-layout-color0);
+  font-family: var(--jp-ui-font-family);
+  padding: 2px 1px;
+  resize: none;
+}
+
+.jp-DocumentSearch-overlay {
+  position: absolute;
+  background-color: var(--jp-toolbar-background);
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  border-left: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  top: 0;
+  right: 0;
+  z-index: 7;
+  min-width: 405px;
+  padding: 2px;
+  font-size: var(--jp-ui-font-size1);
+
+  --jp-private-document-search-button-height: 20px;
+}
+
+.jp-DocumentSearch-overlay button {
+  background-color: var(--jp-toolbar-background);
+  outline: 0;
+}
+
+.jp-DocumentSearch-overlay button:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-overlay button:active {
+  background-color: var(--jp-layout-color3);
+}
+
+.jp-DocumentSearch-overlay-row {
+  display: flex;
+  align-items: center;
+  margin-bottom: 2px;
+}
+
+.jp-DocumentSearch-button-content {
+  display: inline-block;
+  cursor: pointer;
+  box-sizing: border-box;
+  width: 100%;
+  height: 100%;
+}
+
+.jp-DocumentSearch-button-content svg {
+  width: 100%;
+  height: 100%;
+}
+
+.jp-DocumentSearch-input-wrapper {
+  border: var(--jp-border-width) solid var(--jp-border-color0);
+  display: flex;
+  background-color: var(--jp-layout-color0);
+  margin: 2px;
+}
+
+.jp-DocumentSearch-input-wrapper:focus-within {
+  border-color: var(--jp-cell-editor-active-border-color);
+}
+
+.jp-DocumentSearch-toggle-wrapper,
+.jp-DocumentSearch-button-wrapper {
+  all: initial;
+  overflow: hidden;
+  display: inline-block;
+  border: none;
+  box-sizing: border-box;
+}
+
+.jp-DocumentSearch-toggle-wrapper {
+  width: 14px;
+  height: 14px;
+}
+
+.jp-DocumentSearch-button-wrapper {
+  width: var(--jp-private-document-search-button-height);
+  height: var(--jp-private-document-search-button-height);
+}
+
+.jp-DocumentSearch-toggle-wrapper:focus,
+.jp-DocumentSearch-button-wrapper:focus {
+  outline: var(--jp-border-width) solid
+    var(--jp-cell-editor-active-border-color);
+  outline-offset: -1px;
+}
+
+.jp-DocumentSearch-toggle-wrapper,
+.jp-DocumentSearch-button-wrapper,
+.jp-DocumentSearch-button-content:focus {
+  outline: none;
+}
+
+.jp-DocumentSearch-toggle-placeholder {
+  width: 5px;
+}
+
+.jp-DocumentSearch-input-button::before {
+  display: block;
+  padding-top: 100%;
+}
+
+.jp-DocumentSearch-input-button-off {
+  opacity: var(--jp-search-toggle-off-opacity);
+}
+
+.jp-DocumentSearch-input-button-off:hover {
+  opacity: var(--jp-search-toggle-hover-opacity);
+}
+
+.jp-DocumentSearch-input-button-on {
+  opacity: var(--jp-search-toggle-on-opacity);
+}
+
+.jp-DocumentSearch-index-counter {
+  padding-left: 10px;
+  padding-right: 10px;
+  user-select: none;
+  min-width: 35px;
+  display: inline-block;
+}
+
+.jp-DocumentSearch-up-down-wrapper {
+  display: inline-block;
+  padding-right: 2px;
+  margin-left: auto;
+  white-space: nowrap;
+}
+
+.jp-DocumentSearch-spacer {
+  margin-left: auto;
+}
+
+.jp-DocumentSearch-up-down-wrapper button {
+  outline: 0;
+  border: none;
+  width: var(--jp-private-document-search-button-height);
+  height: var(--jp-private-document-search-button-height);
+  vertical-align: middle;
+  margin: 1px 5px 2px;
+}
+
+.jp-DocumentSearch-up-down-button:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-up-down-button:active {
+  background-color: var(--jp-layout-color3);
+}
+
+.jp-DocumentSearch-filter-button {
+  border-radius: var(--jp-border-radius);
+}
+
+.jp-DocumentSearch-filter-button:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-filter-button-enabled {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-filter-button-enabled:hover {
+  background-color: var(--jp-layout-color3);
+}
+
+.jp-DocumentSearch-search-options {
+  padding: 0 8px;
+  margin-left: 3px;
+  width: 100%;
+  display: grid;
+  justify-content: start;
+  grid-template-columns: 1fr 1fr;
+  align-items: center;
+  justify-items: stretch;
+}
+
+.jp-DocumentSearch-search-filter-disabled {
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-DocumentSearch-search-filter {
+  display: flex;
+  align-items: center;
+  user-select: none;
+}
+
+.jp-DocumentSearch-regex-error {
+  color: var(--jp-error-color0);
+}
+
+.jp-DocumentSearch-replace-button-wrapper {
+  overflow: hidden;
+  display: inline-block;
+  box-sizing: border-box;
+  border: var(--jp-border-width) solid var(--jp-border-color0);
+  margin: auto 2px;
+  padding: 1px 4px;
+  height: calc(var(--jp-private-document-search-button-height) + 2px);
+}
+
+.jp-DocumentSearch-replace-button-wrapper:focus {
+  border: var(--jp-border-width) solid var(--jp-cell-editor-active-border-color);
+}
+
+.jp-DocumentSearch-replace-button {
+  display: inline-block;
+  text-align: center;
+  cursor: pointer;
+  box-sizing: border-box;
+  color: var(--jp-ui-font-color1);
+
+  /* height - 2 * (padding of wrapper) */
+  line-height: calc(var(--jp-private-document-search-button-height) - 2px);
+  width: 100%;
+  height: 100%;
+}
+
+.jp-DocumentSearch-replace-button:focus {
+  outline: none;
+}
+
+.jp-DocumentSearch-replace-wrapper-class {
+  margin-left: 14px;
+  display: flex;
+}
+
+.jp-DocumentSearch-replace-toggle {
+  border: none;
+  background-color: var(--jp-toolbar-background);
+  border-radius: var(--jp-border-radius);
+}
+
+.jp-DocumentSearch-replace-toggle:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.cm-editor {
+  line-height: var(--jp-code-line-height);
+  font-size: var(--jp-code-font-size);
+  font-family: var(--jp-code-font-family);
+  border: 0;
+  border-radius: 0;
+  height: auto;
+
+  /* Changed to auto to autogrow */
+}
+
+.cm-editor pre {
+  padding: 0 var(--jp-code-padding);
+}
+
+.jp-CodeMirrorEditor[data-type='inline'] .cm-dialog {
+  background-color: var(--jp-layout-color0);
+  color: var(--jp-content-font-color1);
+}
+
+.jp-CodeMirrorEditor {
+  cursor: text;
+}
+
+/* When zoomed out 67% and 33% on a screen of 1440 width x 900 height */
+@media screen and (min-width: 2138px) and (max-width: 4319px) {
+  .jp-CodeMirrorEditor[data-type='inline'] .cm-cursor {
+    border-left: var(--jp-code-cursor-width1) solid
+      var(--jp-editor-cursor-color);
+  }
+}
+
+/* When zoomed out less than 33% */
+@media screen and (min-width: 4320px) {
+  .jp-CodeMirrorEditor[data-type='inline'] .cm-cursor {
+    border-left: var(--jp-code-cursor-width2) solid
+      var(--jp-editor-cursor-color);
+  }
+}
+
+.cm-editor.jp-mod-readOnly .cm-cursor {
+  display: none;
+}
+
+.jp-CollaboratorCursor {
+  border-left: 5px solid transparent;
+  border-right: 5px solid transparent;
+  border-top: none;
+  border-bottom: 3px solid;
+  background-clip: content-box;
+  margin-left: -5px;
+  margin-right: -5px;
+}
+
+.cm-searching,
+.cm-searching span {
+  /* `.cm-searching span`: we need to override syntax highlighting */
+  background-color: var(--jp-search-unselected-match-background-color);
+  color: var(--jp-search-unselected-match-color);
+}
+
+.cm-searching::selection,
+.cm-searching span::selection {
+  background-color: var(--jp-search-unselected-match-background-color);
+  color: var(--jp-search-unselected-match-color);
+}
+
+.jp-current-match > .cm-searching,
+.jp-current-match > .cm-searching span,
+.cm-searching > .jp-current-match,
+.cm-searching > .jp-current-match span {
+  background-color: var(--jp-search-selected-match-background-color);
+  color: var(--jp-search-selected-match-color);
+}
+
+.jp-current-match > .cm-searching::selection,
+.cm-searching > .jp-current-match::selection,
+.jp-current-match > .cm-searching span::selection {
+  background-color: var(--jp-search-selected-match-background-color);
+  color: var(--jp-search-selected-match-color);
+}
+
+.cm-trailingspace {
+  background-image: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAgAAAAFCAYAAAB4ka1VAAAAsElEQVQIHQGlAFr/AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA7+r3zKmT0/+pk9P/7+r3zAAAAAAAAAAABAAAAAAAAAAA6OPzM+/q9wAAAAAA6OPzMwAAAAAAAAAAAgAAAAAAAAAAGR8NiRQaCgAZIA0AGR8NiQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQyoYJ/SY80UAAAAASUVORK5CYII=);
+  background-position: center left;
+  background-repeat: repeat-x;
+}
+
+.jp-CollaboratorCursor-hover {
+  position: absolute;
+  z-index: 1;
+  transform: translateX(-50%);
+  color: white;
+  border-radius: 3px;
+  padding-left: 4px;
+  padding-right: 4px;
+  padding-top: 1px;
+  padding-bottom: 1px;
+  text-align: center;
+  font-size: var(--jp-ui-font-size1);
+  white-space: nowrap;
+}
+
+.jp-CodeMirror-ruler {
+  border-left: 1px dashed var(--jp-border-color2);
+}
+
+/* Styles for shared cursors (remote cursor locations and selected ranges) */
+.jp-CodeMirrorEditor .cm-ySelectionCaret {
+  position: relative;
+  border-left: 1px solid black;
+  margin-left: -1px;
+  margin-right: -1px;
+  box-sizing: border-box;
+}
+
+.jp-CodeMirrorEditor .cm-ySelectionCaret > .cm-ySelectionInfo {
+  white-space: nowrap;
+  position: absolute;
+  top: -1.15em;
+  padding-bottom: 0.05em;
+  left: -1px;
+  font-size: 0.95em;
+  font-family: var(--jp-ui-font-family);
+  font-weight: bold;
+  line-height: normal;
+  user-select: none;
+  color: white;
+  padding-left: 2px;
+  padding-right: 2px;
+  z-index: 101;
+  transition: opacity 0.3s ease-in-out;
+}
+
+.jp-CodeMirrorEditor .cm-ySelectionInfo {
+  transition-delay: 0.7s;
+  opacity: 0;
+}
+
+.jp-CodeMirrorEditor .cm-ySelectionCaret:hover > .cm-ySelectionInfo {
+  opacity: 1;
+  transition-delay: 0s;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-MimeDocument {
+  outline: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-filebrowser-button-height: 28px;
+  --jp-private-filebrowser-button-width: 48px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-FileBrowser .jp-SidePanel-content {
+  display: flex;
+  flex-direction: column;
+}
+
+.jp-FileBrowser-toolbar.jp-Toolbar {
+  flex-wrap: wrap;
+  row-gap: 12px;
+  border-bottom: none;
+  height: auto;
+  margin: 8px 12px 0;
+  box-shadow: none;
+  padding: 0;
+  justify-content: flex-start;
+}
+
+.jp-FileBrowser-Panel {
+  flex: 1 1 auto;
+  display: flex;
+  flex-direction: column;
+}
+
+.jp-BreadCrumbs {
+  flex: 0 0 auto;
+  margin: 8px 12px;
+}
+
+.jp-BreadCrumbs-item {
+  margin: 0 2px;
+  padding: 0 2px;
+  border-radius: var(--jp-border-radius);
+  cursor: pointer;
+}
+
+.jp-BreadCrumbs-item:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-BreadCrumbs-item:first-child {
+  margin-left: 0;
+}
+
+.jp-BreadCrumbs-item.jp-mod-dropTarget {
+  background-color: var(--jp-brand-color2);
+  opacity: 0.7;
+}
+
+/*-----------------------------------------------------------------------------
+| Buttons
+|----------------------------------------------------------------------------*/
+
+.jp-FileBrowser-toolbar > .jp-Toolbar-item {
+  flex: 0 0 auto;
+  padding-left: 0;
+  padding-right: 2px;
+  align-items: center;
+  height: unset;
+}
+
+.jp-FileBrowser-toolbar > .jp-Toolbar-item .jp-ToolbarButtonComponent {
+  width: 40px;
+}
+
+/*-----------------------------------------------------------------------------
+| Other styles
+|----------------------------------------------------------------------------*/
+
+.jp-FileDialog.jp-mod-conflict input {
+  color: var(--jp-error-color1);
+}
+
+.jp-FileDialog .jp-new-name-title {
+  margin-top: 12px;
+}
+
+.jp-LastModified-hidden {
+  display: none;
+}
+
+.jp-FileSize-hidden {
+  display: none;
+}
+
+.jp-FileBrowser .lm-AccordionPanel > h3:first-child {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| DirListing
+|----------------------------------------------------------------------------*/
+
+.jp-DirListing {
+  flex: 1 1 auto;
+  display: flex;
+  flex-direction: column;
+  outline: 0;
+}
+
+.jp-DirListing-header {
+  flex: 0 0 auto;
+  display: flex;
+  flex-direction: row;
+  align-items: center;
+  overflow: hidden;
+  border-top: var(--jp-border-width) solid var(--jp-border-color2);
+  border-bottom: var(--jp-border-width) solid var(--jp-border-color1);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  z-index: 2;
+}
+
+.jp-DirListing-headerItem {
+  padding: 4px 12px 2px;
+  font-weight: 500;
+}
+
+.jp-DirListing-headerItem:hover {
+  background: var(--jp-layout-color2);
+}
+
+.jp-DirListing-headerItem.jp-id-name {
+  flex: 1 0 84px;
+}
+
+.jp-DirListing-headerItem.jp-id-modified {
+  flex: 0 0 112px;
+  border-left: var(--jp-border-width) solid var(--jp-border-color2);
+  text-align: right;
+}
+
+.jp-DirListing-headerItem.jp-id-filesize {
+  flex: 0 0 75px;
+  border-left: var(--jp-border-width) solid var(--jp-border-color2);
+  text-align: right;
+}
+
+.jp-id-narrow {
+  display: none;
+  flex: 0 0 5px;
+  padding: 4px;
+  border-left: var(--jp-border-width) solid var(--jp-border-color2);
+  text-align: right;
+  color: var(--jp-border-color2);
+}
+
+.jp-DirListing-narrow .jp-id-narrow {
+  display: block;
+}
+
+.jp-DirListing-narrow .jp-id-modified,
+.jp-DirListing-narrow .jp-DirListing-itemModified {
+  display: none;
+}
+
+.jp-DirListing-headerItem.jp-mod-selected {
+  font-weight: 600;
+}
+
+/* increase specificity to override bundled default */
+.jp-DirListing-content {
+  flex: 1 1 auto;
+  margin: 0;
+  padding: 0;
+  list-style-type: none;
+  overflow: auto;
+  background-color: var(--jp-layout-color1);
+}
+
+.jp-DirListing-content mark {
+  color: var(--jp-ui-font-color0);
+  background-color: transparent;
+  font-weight: bold;
+}
+
+.jp-DirListing-content .jp-DirListing-item.jp-mod-selected mark {
+  color: var(--jp-ui-inverse-font-color0);
+}
+
+/* Style the directory listing content when a user drops a file to upload */
+.jp-DirListing.jp-mod-native-drop .jp-DirListing-content {
+  outline: 5px dashed rgba(128, 128, 128, 0.5);
+  outline-offset: -10px;
+  cursor: copy;
+}
+
+.jp-DirListing-item {
+  display: flex;
+  flex-direction: row;
+  align-items: center;
+  padding: 4px 12px;
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.jp-DirListing-checkboxWrapper {
+  /* Increases hit area of checkbox. */
+  padding: 4px;
+}
+
+.jp-DirListing-header
+  .jp-DirListing-checkboxWrapper
+  + .jp-DirListing-headerItem {
+  padding-left: 4px;
+}
+
+.jp-DirListing-content .jp-DirListing-checkboxWrapper {
+  position: relative;
+  left: -4px;
+  margin: -4px 0 -4px -8px;
+}
+
+.jp-DirListing-checkboxWrapper.jp-mod-visible {
+  visibility: visible;
+}
+
+/* For devices that support hovering, hide checkboxes until hovered, selected...
+*/
+@media (hover: hover) {
+  .jp-DirListing-checkboxWrapper {
+    visibility: hidden;
+  }
+
+  .jp-DirListing-item:hover .jp-DirListing-checkboxWrapper,
+  .jp-DirListing-item.jp-mod-selected .jp-DirListing-checkboxWrapper {
+    visibility: visible;
+  }
+}
+
+.jp-DirListing-item[data-is-dot] {
+  opacity: 75%;
+}
+
+.jp-DirListing-item.jp-mod-selected {
+  color: var(--jp-ui-inverse-font-color1);
+  background: var(--jp-brand-color1);
+}
+
+.jp-DirListing-item.jp-mod-dropTarget {
+  background: var(--jp-brand-color3);
+}
+
+.jp-DirListing-item:hover:not(.jp-mod-selected) {
+  background: var(--jp-layout-color2);
+}
+
+.jp-DirListing-itemIcon {
+  flex: 0 0 20px;
+  margin-right: 4px;
+}
+
+.jp-DirListing-itemText {
+  flex: 1 0 64px;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+  user-select: none;
+}
+
+.jp-DirListing-itemText:focus {
+  outline-width: 2px;
+  outline-color: var(--jp-inverse-layout-color1);
+  outline-style: solid;
+  outline-offset: 1px;
+}
+
+.jp-DirListing-item.jp-mod-selected .jp-DirListing-itemText:focus {
+  outline-color: var(--jp-layout-color1);
+}
+
+.jp-DirListing-itemModified {
+  flex: 0 0 125px;
+  text-align: right;
+}
+
+.jp-DirListing-itemFileSize {
+  flex: 0 0 90px;
+  text-align: right;
+}
+
+.jp-DirListing-editor {
+  flex: 1 0 64px;
+  outline: none;
+  border: none;
+  color: var(--jp-ui-font-color1);
+  background-color: var(--jp-layout-color1);
+}
+
+.jp-DirListing-item.jp-mod-running .jp-DirListing-itemIcon::before {
+  color: var(--jp-success-color1);
+  content: '\25CF';
+  font-size: 8px;
+  position: absolute;
+  left: -8px;
+}
+
+.jp-DirListing-item.jp-mod-running.jp-mod-selected
+  .jp-DirListing-itemIcon::before {
+  color: var(--jp-ui-inverse-font-color1);
+}
+
+.jp-DirListing-item.lm-mod-drag-image,
+.jp-DirListing-item.jp-mod-selected.lm-mod-drag-image {
+  font-size: var(--jp-ui-font-size1);
+  padding-left: 4px;
+  margin-left: 4px;
+  width: 160px;
+  background-color: var(--jp-ui-inverse-font-color2);
+  box-shadow: var(--jp-elevation-z2);
+  border-radius: 0;
+  color: var(--jp-ui-font-color1);
+  transform: translateX(-40%) translateY(-58%);
+}
+
+.jp-Document {
+  min-width: 120px;
+  min-height: 120px;
+  outline: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Main OutputArea
+| OutputArea has a list of Outputs
+|----------------------------------------------------------------------------*/
+
+.jp-OutputArea {
+  overflow-y: auto;
+}
+
+.jp-OutputArea-child {
+  display: table;
+  table-layout: fixed;
+  width: 100%;
+  overflow: hidden;
+}
+
+.jp-OutputPrompt {
+  width: var(--jp-cell-prompt-width);
+  color: var(--jp-cell-outprompt-font-color);
+  font-family: var(--jp-cell-prompt-font-family);
+  padding: var(--jp-code-padding);
+  letter-spacing: var(--jp-cell-prompt-letter-spacing);
+  line-height: var(--jp-code-line-height);
+  font-size: var(--jp-code-font-size);
+  border: var(--jp-border-width) solid transparent;
+  opacity: var(--jp-cell-prompt-opacity);
+
+  /* Right align prompt text, don't wrap to handle large prompt numbers */
+  text-align: right;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+
+  /* Disable text selection */
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.jp-OutputArea-prompt {
+  display: table-cell;
+  vertical-align: top;
+}
+
+.jp-OutputArea-output {
+  display: table-cell;
+  width: 100%;
+  height: auto;
+  overflow: auto;
+  user-select: text;
+  -moz-user-select: text;
+  -webkit-user-select: text;
+  -ms-user-select: text;
+}
+
+.jp-OutputArea .jp-RenderedText {
+  padding-left: 1ch;
+}
+
+/**
+ * Prompt overlay.
+ */
+
+.jp-OutputArea-promptOverlay {
+  position: absolute;
+  top: 0;
+  width: var(--jp-cell-prompt-width);
+  height: 100%;
+  opacity: 0.5;
+}
+
+.jp-OutputArea-promptOverlay:hover {
+  background: var(--jp-layout-color2);
+  box-shadow: inset 0 0 1px var(--jp-inverse-layout-color0);
+  cursor: zoom-out;
+}
+
+.jp-mod-outputsScrolled .jp-OutputArea-promptOverlay:hover {
+  cursor: zoom-in;
+}
+
+/**
+ * Isolated output.
+ */
+.jp-OutputArea-output.jp-mod-isolated {
+  width: 100%;
+  display: block;
+}
+
+/*
+When drag events occur, `lm-mod-override-cursor` is added to the body.
+Because iframes steal all cursor events, the following two rules are necessary
+to suppress pointer events while resize drags are occurring. There may be a
+better solution to this problem.
+*/
+body.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated {
+  position: relative;
+}
+
+body.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated::before {
+  content: '';
+  position: absolute;
+  top: 0;
+  left: 0;
+  right: 0;
+  bottom: 0;
+  background: transparent;
+}
+
+/* pre */
+
+.jp-OutputArea-output pre {
+  border: none;
+  margin: 0;
+  padding: 0;
+  overflow-x: auto;
+  overflow-y: auto;
+  word-break: break-all;
+  word-wrap: break-word;
+  white-space: pre-wrap;
+}
+
+/* tables */
+
+.jp-OutputArea-output.jp-RenderedHTMLCommon table {
+  margin-left: 0;
+  margin-right: 0;
+}
+
+/* description lists */
+
+.jp-OutputArea-output dl,
+.jp-OutputArea-output dt,
+.jp-OutputArea-output dd {
+  display: block;
+}
+
+.jp-OutputArea-output dl {
+  width: 100%;
+  overflow: hidden;
+  padding: 0;
+  margin: 0;
+}
+
+.jp-OutputArea-output dt {
+  font-weight: bold;
+  float: left;
+  width: 20%;
+  padding: 0;
+  margin: 0;
+}
+
+.jp-OutputArea-output dd {
+  float: left;
+  width: 80%;
+  padding: 0;
+  margin: 0;
+}
+
+.jp-TrimmedOutputs pre {
+  background: var(--jp-layout-color3);
+  font-size: calc(var(--jp-code-font-size) * 1.4);
+  text-align: center;
+  text-transform: uppercase;
+}
+
+/* Hide the gutter in case of
+ *  - nested output areas (e.g. in the case of output widgets)
+ *  - mirrored output areas
+ */
+.jp-OutputArea .jp-OutputArea .jp-OutputArea-prompt {
+  display: none;
+}
+
+/* Hide empty lines in the output area, for instance due to cleared widgets */
+.jp-OutputArea-prompt:empty {
+  padding: 0;
+  border: 0;
+}
+
+/*-----------------------------------------------------------------------------
+| executeResult is added to any Output-result for the display of the object
+| returned by a cell
+|----------------------------------------------------------------------------*/
+
+.jp-OutputArea-output.jp-OutputArea-executeResult {
+  margin-left: 0;
+  width: 100%;
+}
+
+/* Text output with the Out[] prompt needs a top padding to match the
+ * alignment of the Out[] prompt itself.
+ */
+.jp-OutputArea-executeResult .jp-RenderedText.jp-OutputArea-output {
+  padding-top: var(--jp-code-padding);
+  border-top: var(--jp-border-width) solid transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| The Stdin output
+|----------------------------------------------------------------------------*/
+
+.jp-Stdin-prompt {
+  color: var(--jp-content-font-color0);
+  padding-right: var(--jp-code-padding);
+  vertical-align: baseline;
+  flex: 0 0 auto;
+}
+
+.jp-Stdin-input {
+  font-family: var(--jp-code-font-family);
+  font-size: inherit;
+  color: inherit;
+  background-color: inherit;
+  width: 42%;
+  min-width: 200px;
+
+  /* make sure input baseline aligns with prompt */
+  vertical-align: baseline;
+
+  /* padding + margin = 0.5em between prompt and cursor */
+  padding: 0 0.25em;
+  margin: 0 0.25em;
+  flex: 0 0 70%;
+}
+
+.jp-Stdin-input::placeholder {
+  opacity: 0;
+}
+
+.jp-Stdin-input:focus {
+  box-shadow: none;
+}
+
+.jp-Stdin-input:focus::placeholder {
+  opacity: 1;
+}
+
+/*-----------------------------------------------------------------------------
+| Output Area View
+|----------------------------------------------------------------------------*/
+
+.jp-LinkedOutputView .jp-OutputArea {
+  height: 100%;
+  display: block;
+}
+
+.jp-LinkedOutputView .jp-OutputArea-output:only-child {
+  height: 100%;
+}
+
+/*-----------------------------------------------------------------------------
+| Printing
+|----------------------------------------------------------------------------*/
+
+@media print {
+  .jp-OutputArea-child {
+    break-inside: avoid-page;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Mobile
+|----------------------------------------------------------------------------*/
+@media only screen and (max-width: 760px) {
+  .jp-OutputPrompt {
+    display: table-row;
+    text-align: left;
+  }
+
+  .jp-OutputArea-child .jp-OutputArea-output {
+    display: table-row;
+    margin-left: var(--jp-notebook-padding);
+  }
+}
+
+/* Trimmed outputs warning */
+.jp-TrimmedOutputs > a {
+  margin: 10px;
+  text-decoration: none;
+  cursor: pointer;
+}
+
+.jp-TrimmedOutputs > a:hover {
+  text-decoration: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Table of Contents
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-toc-active-width: 4px;
+}
+
+.jp-TableOfContents {
+  display: flex;
+  flex-direction: column;
+  background: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  height: 100%;
+}
+
+.jp-TableOfContents-placeholder {
+  text-align: center;
+}
+
+.jp-TableOfContents-placeholderContent {
+  color: var(--jp-content-font-color2);
+  padding: 8px;
+}
+
+.jp-TableOfContents-placeholderContent > h3 {
+  margin-bottom: var(--jp-content-heading-margin-bottom);
+}
+
+.jp-TableOfContents .jp-SidePanel-content {
+  overflow-y: auto;
+}
+
+.jp-TableOfContents-tree {
+  margin: 4px;
+}
+
+.jp-TableOfContents ol {
+  list-style-type: none;
+}
+
+/* stylelint-disable-next-line selector-max-type */
+.jp-TableOfContents li > ol {
+  /* Align left border with triangle icon center */
+  padding-left: 11px;
+}
+
+.jp-TableOfContents-content {
+  /* left margin for the active heading indicator */
+  margin: 0 0 0 var(--jp-private-toc-active-width);
+  padding: 0;
+  background-color: var(--jp-layout-color1);
+}
+
+.jp-tocItem {
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.jp-tocItem-heading {
+  display: flex;
+  cursor: pointer;
+}
+
+.jp-tocItem-heading:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-tocItem-content {
+  display: block;
+  padding: 4px 0;
+  white-space: nowrap;
+  text-overflow: ellipsis;
+  overflow-x: hidden;
+}
+
+.jp-tocItem-collapser {
+  height: 20px;
+  margin: 2px 2px 0;
+  padding: 0;
+  background: none;
+  border: none;
+  cursor: pointer;
+}
+
+.jp-tocItem-collapser:hover {
+  background-color: var(--jp-layout-color3);
+}
+
+/* Active heading indicator */
+
+.jp-tocItem-heading::before {
+  content: ' ';
+  background: transparent;
+  width: var(--jp-private-toc-active-width);
+  height: 24px;
+  position: absolute;
+  left: 0;
+  border-radius: var(--jp-border-radius);
+}
+
+.jp-tocItem-heading.jp-tocItem-active::before {
+  background-color: var(--jp-brand-color1);
+}
+
+.jp-tocItem-heading:hover.jp-tocItem-active::before {
+  background: var(--jp-brand-color0);
+  opacity: 1;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Collapser {
+  flex: 0 0 var(--jp-cell-collapser-width);
+  padding: 0;
+  margin: 0;
+  border: none;
+  outline: none;
+  background: transparent;
+  border-radius: var(--jp-border-radius);
+  opacity: 1;
+}
+
+.jp-Collapser-child {
+  display: block;
+  width: 100%;
+  box-sizing: border-box;
+
+  /* height: 100% doesn't work because the height of its parent is computed from content */
+  position: absolute;
+  top: 0;
+  bottom: 0;
+}
+
+/*-----------------------------------------------------------------------------
+| Printing
+|----------------------------------------------------------------------------*/
+
+/*
+Hiding collapsers in print mode.
+
+Note: input and output wrappers have "display: block" propery in print mode.
+*/
+
+@media print {
+  .jp-Collapser {
+    display: none;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Header/Footer
+|----------------------------------------------------------------------------*/
+
+/* Hidden by zero height by default */
+.jp-CellHeader,
+.jp-CellFooter {
+  height: 0;
+  width: 100%;
+  padding: 0;
+  margin: 0;
+  border: none;
+  outline: none;
+  background: transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Input
+|----------------------------------------------------------------------------*/
+
+/* All input areas */
+.jp-InputArea {
+  display: table;
+  table-layout: fixed;
+  width: 100%;
+  overflow: hidden;
+}
+
+.jp-InputArea-editor {
+  display: table-cell;
+  overflow: hidden;
+  vertical-align: top;
+
+  /* This is the non-active, default styling */
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  border-radius: 0;
+  background: var(--jp-cell-editor-background);
+}
+
+.jp-InputPrompt {
+  display: table-cell;
+  vertical-align: top;
+  width: var(--jp-cell-prompt-width);
+  color: var(--jp-cell-inprompt-font-color);
+  font-family: var(--jp-cell-prompt-font-family);
+  padding: var(--jp-code-padding);
+  letter-spacing: var(--jp-cell-prompt-letter-spacing);
+  opacity: var(--jp-cell-prompt-opacity);
+  line-height: var(--jp-code-line-height);
+  font-size: var(--jp-code-font-size);
+  border: var(--jp-border-width) solid transparent;
+
+  /* Right align prompt text, don't wrap to handle large prompt numbers */
+  text-align: right;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+
+  /* Disable text selection */
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Mobile
+|----------------------------------------------------------------------------*/
+@media only screen and (max-width: 760px) {
+  .jp-InputArea-editor {
+    display: table-row;
+    margin-left: var(--jp-notebook-padding);
+  }
+
+  .jp-InputPrompt {
+    display: table-row;
+    text-align: left;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Placeholder
+|----------------------------------------------------------------------------*/
+
+.jp-Placeholder {
+  display: table;
+  table-layout: fixed;
+  width: 100%;
+}
+
+.jp-Placeholder-prompt {
+  display: table-cell;
+  box-sizing: border-box;
+}
+
+.jp-Placeholder-content {
+  display: table-cell;
+  padding: 4px 6px;
+  border: 1px solid transparent;
+  border-radius: 0;
+  background: none;
+  box-sizing: border-box;
+  cursor: pointer;
+}
+
+.jp-Placeholder-contentContainer {
+  display: flex;
+}
+
+.jp-Placeholder-content:hover,
+.jp-InputPlaceholder > .jp-Placeholder-content:hover {
+  border-color: var(--jp-layout-color3);
+}
+
+.jp-Placeholder-content .jp-MoreHorizIcon {
+  width: 32px;
+  height: 16px;
+  border: 1px solid transparent;
+  border-radius: var(--jp-border-radius);
+}
+
+.jp-Placeholder-content .jp-MoreHorizIcon:hover {
+  border: 1px solid var(--jp-border-color1);
+  box-shadow: 0 0 2px 0 rgba(0, 0, 0, 0.25);
+  background-color: var(--jp-layout-color0);
+}
+
+.jp-PlaceholderText {
+  white-space: nowrap;
+  overflow-x: hidden;
+  color: var(--jp-inverse-layout-color3);
+  font-family: var(--jp-code-font-family);
+}
+
+.jp-InputPlaceholder > .jp-Placeholder-content {
+  border-color: var(--jp-cell-editor-border-color);
+  background: var(--jp-cell-editor-background);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Private CSS variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-cell-scrolling-output-offset: 5px;
+}
+
+/*-----------------------------------------------------------------------------
+| Cell
+|----------------------------------------------------------------------------*/
+
+.jp-Cell {
+  padding: var(--jp-cell-padding);
+  margin: 0;
+  border: none;
+  outline: none;
+  background: transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| Common input/output
+|----------------------------------------------------------------------------*/
+
+.jp-Cell-inputWrapper,
+.jp-Cell-outputWrapper {
+  display: flex;
+  flex-direction: row;
+  padding: 0;
+  margin: 0;
+
+  /* Added to reveal the box-shadow on the input and output collapsers. */
+  overflow: visible;
+}
+
+/* Only input/output areas inside cells */
+.jp-Cell-inputArea,
+.jp-Cell-outputArea {
+  flex: 1 1 auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Collapser
+|----------------------------------------------------------------------------*/
+
+/* Make the output collapser disappear when there is not output, but do so
+ * in a manner that leaves it in the layout and preserves its width.
+ */
+.jp-Cell.jp-mod-noOutputs .jp-Cell-outputCollapser {
+  border: none !important;
+  background: transparent !important;
+}
+
+.jp-Cell:not(.jp-mod-noOutputs) .jp-Cell-outputCollapser {
+  min-height: var(--jp-cell-collapser-min-height);
+}
+
+/*-----------------------------------------------------------------------------
+| Output
+|----------------------------------------------------------------------------*/
+
+/* Put a space between input and output when there IS output */
+.jp-Cell:not(.jp-mod-noOutputs) .jp-Cell-outputWrapper {
+  margin-top: 5px;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea {
+  overflow-y: auto;
+  max-height: 24em;
+  margin-left: var(--jp-private-cell-scrolling-output-offset);
+  resize: vertical;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea[style*='height'] {
+  max-height: unset;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea::after {
+  content: ' ';
+  box-shadow: inset 0 0 6px 2px rgb(0 0 0 / 30%);
+  width: 100%;
+  height: 100%;
+  position: sticky;
+  bottom: 0;
+  top: 0;
+  margin-top: -50%;
+  float: left;
+  display: block;
+  pointer-events: none;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-child {
+  padding-top: 6px;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-prompt {
+  width: calc(
+    var(--jp-cell-prompt-width) - var(--jp-private-cell-scrolling-output-offset)
+  );
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-promptOverlay {
+  left: calc(-1 * var(--jp-private-cell-scrolling-output-offset));
+}
+
+/*-----------------------------------------------------------------------------
+| CodeCell
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| MarkdownCell
+|----------------------------------------------------------------------------*/
+
+.jp-MarkdownOutput {
+  display: table-cell;
+  width: 100%;
+  margin-top: 0;
+  margin-bottom: 0;
+  padding-left: var(--jp-code-padding);
+}
+
+.jp-MarkdownOutput.jp-RenderedHTMLCommon {
+  overflow: auto;
+}
+
+/* collapseHeadingButton (show always if hiddenCellsButton is _not_ shown) */
+.jp-collapseHeadingButton {
+  display: flex;
+  min-height: var(--jp-cell-collapser-min-height);
+  font-size: var(--jp-code-font-size);
+  position: absolute;
+  background-color: transparent;
+  background-size: 25px;
+  background-repeat: no-repeat;
+  background-position-x: center;
+  background-position-y: top;
+  background-image: var(--jp-icon-caret-down);
+  right: 0;
+  top: 0;
+  bottom: 0;
+}
+
+.jp-collapseHeadingButton.jp-mod-collapsed {
+  background-image: var(--jp-icon-caret-right);
+}
+
+/*
+ set the container font size to match that of content
+ so that the nested collapse buttons have the right size
+*/
+.jp-MarkdownCell .jp-InputPrompt {
+  font-size: var(--jp-content-font-size1);
+}
+
+/*
+  Align collapseHeadingButton with cell top header
+  The font sizes are identical to the ones in packages/rendermime/style/base.css
+*/
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='1'] {
+  font-size: var(--jp-content-font-size5);
+  background-position-y: calc(0.3 * var(--jp-content-font-size5));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='2'] {
+  font-size: var(--jp-content-font-size4);
+  background-position-y: calc(0.3 * var(--jp-content-font-size4));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='3'] {
+  font-size: var(--jp-content-font-size3);
+  background-position-y: calc(0.3 * var(--jp-content-font-size3));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='4'] {
+  font-size: var(--jp-content-font-size2);
+  background-position-y: calc(0.3 * var(--jp-content-font-size2));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='5'] {
+  font-size: var(--jp-content-font-size1);
+  background-position-y: top;
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='6'] {
+  font-size: var(--jp-content-font-size0);
+  background-position-y: top;
+}
+
+/* collapseHeadingButton (show only on (hover,active) if hiddenCellsButton is shown) */
+.jp-Notebook.jp-mod-showHiddenCellsButton .jp-collapseHeadingButton {
+  display: none;
+}
+
+.jp-Notebook.jp-mod-showHiddenCellsButton
+  :is(.jp-MarkdownCell:hover, .jp-mod-active)
+  .jp-collapseHeadingButton {
+  display: flex;
+}
+
+/* showHiddenCellsButton (only show if jp-mod-showHiddenCellsButton is set, which
+is a consequence of the showHiddenCellsButton option in Notebook Settings)*/
+.jp-Notebook.jp-mod-showHiddenCellsButton .jp-showHiddenCellsButton {
+  margin-left: calc(var(--jp-cell-prompt-width) + 2 * var(--jp-code-padding));
+  margin-top: var(--jp-code-padding);
+  border: 1px solid var(--jp-border-color2);
+  background-color: var(--jp-border-color3) !important;
+  color: var(--jp-content-font-color0) !important;
+  display: flex;
+}
+
+.jp-Notebook.jp-mod-showHiddenCellsButton .jp-showHiddenCellsButton:hover {
+  background-color: var(--jp-border-color2) !important;
+}
+
+.jp-showHiddenCellsButton {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Printing
+|----------------------------------------------------------------------------*/
+
+/*
+Using block instead of flex to allow the use of the break-inside CSS property for
+cell outputs.
+*/
+
+@media print {
+  .jp-Cell-inputWrapper,
+  .jp-Cell-outputWrapper {
+    display: block;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-notebook-toolbar-padding: 2px 5px 2px 2px;
+}
+
+/*-----------------------------------------------------------------------------
+
+/*-----------------------------------------------------------------------------
+| Styles
+|----------------------------------------------------------------------------*/
+
+.jp-NotebookPanel-toolbar {
+  padding: var(--jp-notebook-toolbar-padding);
+
+  /* disable paint containment from lumino 2.0 default strict CSS containment */
+  contain: style size !important;
+}
+
+.jp-Toolbar-item.jp-Notebook-toolbarCellType .jp-select-wrapper.jp-mod-focused {
+  border: none;
+  box-shadow: none;
+}
+
+.jp-Notebook-toolbarCellTypeDropdown select {
+  height: 24px;
+  font-size: var(--jp-ui-font-size1);
+  line-height: 14px;
+  border-radius: 0;
+  display: block;
+}
+
+.jp-Notebook-toolbarCellTypeDropdown span {
+  top: 5px !important;
+}
+
+.jp-Toolbar-responsive-popup {
+  position: absolute;
+  height: fit-content;
+  display: flex;
+  flex-direction: row;
+  flex-wrap: wrap;
+  justify-content: flex-end;
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  background: var(--jp-toolbar-background);
+  min-height: var(--jp-toolbar-micro-height);
+  padding: var(--jp-notebook-toolbar-padding);
+  z-index: 1;
+  right: 0;
+  top: 0;
+}
+
+.jp-Toolbar > .jp-Toolbar-responsive-opener {
+  margin-left: auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+
+/*-----------------------------------------------------------------------------
+| Styles
+|----------------------------------------------------------------------------*/
+
+.jp-Notebook-ExecutionIndicator {
+  position: relative;
+  display: inline-block;
+  height: 100%;
+  z-index: 9997;
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip {
+  visibility: hidden;
+  height: auto;
+  width: max-content;
+  width: -moz-max-content;
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color1);
+  text-align: justify;
+  border-radius: 6px;
+  padding: 0 5px;
+  position: fixed;
+  display: table;
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip.up {
+  transform: translateX(-50%) translateY(-100%) translateY(-32px);
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip.down {
+  transform: translateX(calc(-100% + 16px)) translateY(5px);
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip.hidden {
+  display: none;
+}
+
+.jp-Notebook-ExecutionIndicator:hover .jp-Notebook-ExecutionIndicator-tooltip {
+  visibility: visible;
+}
+
+.jp-Notebook-ExecutionIndicator span {
+  font-size: var(--jp-ui-font-size1);
+  font-family: var(--jp-ui-font-family);
+  color: var(--jp-ui-font-color1);
+  line-height: 24px;
+  display: block;
+}
+
+.jp-Notebook-ExecutionIndicator-progress-bar {
+  display: flex;
+  justify-content: center;
+  height: 100%;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*
+ * Execution indicator
+ */
+.jp-tocItem-content::after {
+  content: '';
+
+  /* Must be identical to form a circle */
+  width: 12px;
+  height: 12px;
+  background: none;
+  border: none;
+  position: absolute;
+  right: 0;
+}
+
+.jp-tocItem-content[data-running='0']::after {
+  border-radius: 50%;
+  border: var(--jp-border-width) solid var(--jp-inverse-layout-color3);
+  background: none;
+}
+
+.jp-tocItem-content[data-running='1']::after {
+  border-radius: 50%;
+  border: var(--jp-border-width) solid var(--jp-inverse-layout-color3);
+  background-color: var(--jp-inverse-layout-color3);
+}
+
+.jp-tocItem-content[data-running='0'],
+.jp-tocItem-content[data-running='1'] {
+  margin-right: 12px;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-Notebook-footer {
+  height: 27px;
+  margin-left: calc(
+    var(--jp-cell-prompt-width) + var(--jp-cell-collapser-width) +
+      var(--jp-cell-padding)
+  );
+  width: calc(
+    100% -
+      (
+        var(--jp-cell-prompt-width) + var(--jp-cell-collapser-width) +
+          var(--jp-cell-padding) + var(--jp-cell-padding)
+      )
+  );
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  color: var(--jp-ui-font-color3);
+  margin-top: 6px;
+  background: none;
+  cursor: pointer;
+}
+
+.jp-Notebook-footer:focus {
+  border-color: var(--jp-cell-editor-active-border-color);
+}
+
+/* For devices that support hovering, hide footer until hover */
+@media (hover: hover) {
+  .jp-Notebook-footer {
+    opacity: 0;
+  }
+
+  .jp-Notebook-footer:focus,
+  .jp-Notebook-footer:hover {
+    opacity: 1;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Imports
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| CSS variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-side-by-side-output-size: 1fr;
+  --jp-side-by-side-resized-cell: var(--jp-side-by-side-output-size);
+  --jp-private-notebook-dragImage-width: 304px;
+  --jp-private-notebook-dragImage-height: 36px;
+  --jp-private-notebook-selected-color: var(--md-blue-400);
+  --jp-private-notebook-active-color: var(--md-green-400);
+}
+
+/*-----------------------------------------------------------------------------
+| Notebook
+|----------------------------------------------------------------------------*/
+
+/* stylelint-disable selector-max-class */
+
+.jp-NotebookPanel {
+  display: block;
+  height: 100%;
+}
+
+.jp-NotebookPanel.jp-Document {
+  min-width: 240px;
+  min-height: 120px;
+}
+
+.jp-Notebook {
+  padding: var(--jp-notebook-padding);
+  outline: none;
+  overflow: auto;
+  background: var(--jp-layout-color0);
+}
+
+.jp-Notebook.jp-mod-scrollPastEnd::after {
+  display: block;
+  content: '';
+  min-height: var(--jp-notebook-scroll-padding);
+}
+
+.jp-MainAreaWidget-ContainStrict .jp-Notebook * {
+  contain: strict;
+}
+
+.jp-Notebook .jp-Cell {
+  overflow: visible;
+}
+
+.jp-Notebook .jp-Cell .jp-InputPrompt {
+  cursor: move;
+}
+
+/*-----------------------------------------------------------------------------
+| Notebook state related styling
+|
+| The notebook and cells each have states, here are the possibilities:
+|
+| - Notebook
+|   - Command
+|   - Edit
+| - Cell
+|   - None
+|   - Active (only one can be active)
+|   - Selected (the cells actions are applied to)
+|   - Multiselected (when multiple selected, the cursor)
+|   - No outputs
+|----------------------------------------------------------------------------*/
+
+/* Command or edit modes */
+
+.jp-Notebook .jp-Cell:not(.jp-mod-active) .jp-InputPrompt {
+  opacity: var(--jp-cell-prompt-not-active-opacity);
+  color: var(--jp-cell-prompt-not-active-font-color);
+}
+
+.jp-Notebook .jp-Cell:not(.jp-mod-active) .jp-OutputPrompt {
+  opacity: var(--jp-cell-prompt-not-active-opacity);
+  color: var(--jp-cell-prompt-not-active-font-color);
+}
+
+/* cell is active */
+.jp-Notebook .jp-Cell.jp-mod-active .jp-Collapser {
+  background: var(--jp-brand-color1);
+}
+
+/* cell is dirty */
+.jp-Notebook .jp-Cell.jp-mod-dirty .jp-InputPrompt {
+  color: var(--jp-warn-color1);
+}
+
+.jp-Notebook .jp-Cell.jp-mod-dirty .jp-InputPrompt::before {
+  color: var(--jp-warn-color1);
+  content: '•';
+}
+
+.jp-Notebook .jp-Cell.jp-mod-active.jp-mod-dirty .jp-Collapser {
+  background: var(--jp-warn-color1);
+}
+
+/* collapser is hovered */
+.jp-Notebook .jp-Cell .jp-Collapser:hover {
+  box-shadow: var(--jp-elevation-z2);
+  background: var(--jp-brand-color1);
+  opacity: var(--jp-cell-collapser-not-active-hover-opacity);
+}
+
+/* cell is active and collapser is hovered */
+.jp-Notebook .jp-Cell.jp-mod-active .jp-Collapser:hover {
+  background: var(--jp-brand-color0);
+  opacity: 1;
+}
+
+/* Command mode */
+
+.jp-Notebook.jp-mod-commandMode .jp-Cell.jp-mod-selected {
+  background: var(--jp-notebook-multiselected-color);
+}
+
+.jp-Notebook.jp-mod-commandMode
+  .jp-Cell.jp-mod-active.jp-mod-selected:not(.jp-mod-multiSelected) {
+  background: transparent;
+}
+
+/* Edit mode */
+
+.jp-Notebook.jp-mod-editMode .jp-Cell.jp-mod-active .jp-InputArea-editor {
+  border: var(--jp-border-width) solid var(--jp-cell-editor-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+  background-color: var(--jp-cell-editor-active-background);
+}
+
+/*-----------------------------------------------------------------------------
+| Notebook drag and drop
+|----------------------------------------------------------------------------*/
+
+.jp-Notebook-cell.jp-mod-dropSource {
+  opacity: 0.5;
+}
+
+.jp-Notebook-cell.jp-mod-dropTarget,
+.jp-Notebook.jp-mod-commandMode
+  .jp-Notebook-cell.jp-mod-active.jp-mod-selected.jp-mod-dropTarget {
+  border-top-color: var(--jp-private-notebook-selected-color);
+  border-top-style: solid;
+  border-top-width: 2px;
+}
+
+.jp-dragImage {
+  display: block;
+  flex-direction: row;
+  width: var(--jp-private-notebook-dragImage-width);
+  height: var(--jp-private-notebook-dragImage-height);
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  background: var(--jp-cell-editor-background);
+  overflow: visible;
+}
+
+.jp-dragImage-singlePrompt {
+  box-shadow: 2px 2px 4px 0 rgba(0, 0, 0, 0.12);
+}
+
+.jp-dragImage .jp-dragImage-content {
+  flex: 1 1 auto;
+  z-index: 2;
+  font-size: var(--jp-code-font-size);
+  font-family: var(--jp-code-font-family);
+  line-height: var(--jp-code-line-height);
+  padding: var(--jp-code-padding);
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  background: var(--jp-cell-editor-background-color);
+  color: var(--jp-content-font-color3);
+  text-align: left;
+  margin: 4px 4px 4px 0;
+}
+
+.jp-dragImage .jp-dragImage-prompt {
+  flex: 0 0 auto;
+  min-width: 36px;
+  color: var(--jp-cell-inprompt-font-color);
+  padding: var(--jp-code-padding);
+  padding-left: 12px;
+  font-family: var(--jp-cell-prompt-font-family);
+  letter-spacing: var(--jp-cell-prompt-letter-spacing);
+  line-height: 1.9;
+  font-size: var(--jp-code-font-size);
+  border: var(--jp-border-width) solid transparent;
+}
+
+.jp-dragImage-multipleBack {
+  z-index: -1;
+  position: absolute;
+  height: 32px;
+  width: 300px;
+  top: 8px;
+  left: 8px;
+  background: var(--jp-layout-color2);
+  border: var(--jp-border-width) solid var(--jp-input-border-color);
+  box-shadow: 2px 2px 4px 0 rgba(0, 0, 0, 0.12);
+}
+
+/*-----------------------------------------------------------------------------
+| Cell toolbar
+|----------------------------------------------------------------------------*/
+
+.jp-NotebookTools {
+  display: block;
+  min-width: var(--jp-sidebar-min-width);
+  color: var(--jp-ui-font-color1);
+  background: var(--jp-layout-color1);
+
+  /* This is needed so that all font sizing of children done in ems is
+    * relative to this base size */
+  font-size: var(--jp-ui-font-size1);
+  overflow: auto;
+}
+
+.jp-ActiveCellTool {
+  padding: 12px 0;
+  display: flex;
+}
+
+.jp-ActiveCellTool-Content {
+  flex: 1 1 auto;
+}
+
+.jp-ActiveCellTool .jp-ActiveCellTool-CellContent {
+  background: var(--jp-cell-editor-background);
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  border-radius: 0;
+  min-height: 29px;
+}
+
+.jp-ActiveCellTool .jp-InputPrompt {
+  min-width: calc(var(--jp-cell-prompt-width) * 0.75);
+}
+
+.jp-ActiveCellTool-CellContent > pre {
+  padding: 5px 4px;
+  margin: 0;
+  white-space: normal;
+}
+
+.jp-MetadataEditorTool {
+  flex-direction: column;
+  padding: 12px 0;
+}
+
+.jp-RankedPanel > :not(:first-child) {
+  margin-top: 12px;
+}
+
+.jp-KeySelector select.jp-mod-styled {
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color0);
+  border: var(--jp-border-width) solid var(--jp-border-color1);
+}
+
+.jp-KeySelector label,
+.jp-MetadataEditorTool label,
+.jp-NumberSetter label {
+  line-height: 1.4;
+}
+
+.jp-NotebookTools .jp-select-wrapper {
+  margin-top: 4px;
+  margin-bottom: 0;
+}
+
+.jp-NumberSetter input {
+  width: 100%;
+  margin-top: 4px;
+}
+
+.jp-NotebookTools .jp-Collapse {
+  margin-top: 16px;
+}
+
+/*-----------------------------------------------------------------------------
+| Presentation Mode (.jp-mod-presentationMode)
+|----------------------------------------------------------------------------*/
+
+.jp-mod-presentationMode .jp-Notebook {
+  --jp-content-font-size1: var(--jp-content-presentation-font-size1);
+  --jp-code-font-size: var(--jp-code-presentation-font-size);
+}
+
+.jp-mod-presentationMode .jp-Notebook .jp-Cell .jp-InputPrompt,
+.jp-mod-presentationMode .jp-Notebook .jp-Cell .jp-OutputPrompt {
+  flex: 0 0 110px;
+}
+
+/*-----------------------------------------------------------------------------
+| Side-by-side Mode (.jp-mod-sideBySide)
+|----------------------------------------------------------------------------*/
+.jp-mod-sideBySide.jp-Notebook .jp-Notebook-cell {
+  margin-top: 3em;
+  margin-bottom: 3em;
+  margin-left: 5%;
+  margin-right: 5%;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell {
+  display: grid;
+  grid-template-columns: minmax(0, 1fr) min-content minmax(
+      0,
+      var(--jp-side-by-side-output-size)
+    );
+  grid-template-rows: auto minmax(0, 1fr) auto;
+  grid-template-areas:
+    'header header header'
+    'input handle output'
+    'footer footer footer';
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell.jp-mod-resizedCell {
+  grid-template-columns: minmax(0, 1fr) min-content minmax(
+      0,
+      var(--jp-side-by-side-resized-cell)
+    );
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellHeader {
+  grid-area: header;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-Cell-inputWrapper {
+  grid-area: input;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-Cell-outputWrapper {
+  /* overwrite the default margin (no vertical separation needed in side by side move */
+  margin-top: 0;
+  grid-area: output;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellFooter {
+  grid-area: footer;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellResizeHandle {
+  grid-area: handle;
+  user-select: none;
+  display: block;
+  height: 100%;
+  cursor: ew-resize;
+  padding: 0 var(--jp-cell-padding);
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellResizeHandle::after {
+  content: '';
+  display: block;
+  background: var(--jp-border-color2);
+  height: 100%;
+  width: 5px;
+}
+
+.jp-mod-sideBySide.jp-Notebook
+  .jp-CodeCell.jp-mod-resizedCell
+  .jp-CellResizeHandle::after {
+  background: var(--jp-border-color0);
+}
+
+.jp-CellResizeHandle {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Placeholder
+|----------------------------------------------------------------------------*/
+
+.jp-Cell-Placeholder {
+  padding-left: 55px;
+}
+
+.jp-Cell-Placeholder-wrapper {
+  background: #fff;
+  border: 1px solid;
+  border-color: #e5e6e9 #dfe0e4 #d0d1d5;
+  border-radius: 4px;
+  -webkit-border-radius: 4px;
+  margin: 10px 15px;
+}
+
+.jp-Cell-Placeholder-wrapper-inner {
+  padding: 15px;
+  position: relative;
+}
+
+.jp-Cell-Placeholder-wrapper-body {
+  background-repeat: repeat;
+  background-size: 50% auto;
+}
+
+.jp-Cell-Placeholder-wrapper-body div {
+  background: #f6f7f8;
+  background-image: -webkit-linear-gradient(
+    left,
+    #f6f7f8 0%,
+    #edeef1 20%,
+    #f6f7f8 40%,
+    #f6f7f8 100%
+  );
+  background-repeat: no-repeat;
+  background-size: 800px 104px;
+  height: 104px;
+  position: absolute;
+  right: 15px;
+  left: 15px;
+  top: 15px;
+}
+
+div.jp-Cell-Placeholder-h1 {
+  top: 20px;
+  height: 20px;
+  left: 15px;
+  width: 150px;
+}
+
+div.jp-Cell-Placeholder-h2 {
+  left: 15px;
+  top: 50px;
+  height: 10px;
+  width: 100px;
+}
+
+div.jp-Cell-Placeholder-content-1,
+div.jp-Cell-Placeholder-content-2,
+div.jp-Cell-Placeholder-content-3 {
+  left: 15px;
+  right: 15px;
+  height: 10px;
+}
+
+div.jp-Cell-Placeholder-content-1 {
+  top: 100px;
+}
+
+div.jp-Cell-Placeholder-content-2 {
+  top: 120px;
+}
+
+div.jp-Cell-Placeholder-content-3 {
+  top: 140px;
+}
+
+</style>
+<style type="text/css">
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*
+The following CSS variables define the main, public API for styling JupyterLab.
+These variables should be used by all plugins wherever possible. In other
+words, plugins should not define custom colors, sizes, etc unless absolutely
+necessary. This enables users to change the visual theme of JupyterLab
+by changing these variables.
+
+Many variables appear in an ordered sequence (0,1,2,3). These sequences
+are designed to work well together, so for example, `--jp-border-color1` should
+be used with `--jp-layout-color1`. The numbers have the following meanings:
+
+* 0: super-primary, reserved for special emphasis
+* 1: primary, most important under normal situations
+* 2: secondary, next most important under normal situations
+* 3: tertiary, next most important under normal situations
+
+Throughout JupyterLab, we are mostly following principles from Google's
+Material Design when selecting colors. We are not, however, following
+all of MD as it is not optimized for dense, information rich UIs.
+*/
+
+:root {
+  /* Elevation
+   *
+   * We style box-shadows using Material Design's idea of elevation. These particular numbers are taken from here:
+   *
+   * https://github.com/material-components/material-components-web
+   * https://material-components-web.appspot.com/elevation.html
+   */
+
+  --jp-shadow-base-lightness: 0;
+  --jp-shadow-umbra-color: rgba(
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    0.2
+  );
+  --jp-shadow-penumbra-color: rgba(
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    0.14
+  );
+  --jp-shadow-ambient-color: rgba(
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    0.12
+  );
+  --jp-elevation-z0: none;
+  --jp-elevation-z1: 0 2px 1px -1px var(--jp-shadow-umbra-color),
+    0 1px 1px 0 var(--jp-shadow-penumbra-color),
+    0 1px 3px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z2: 0 3px 1px -2px var(--jp-shadow-umbra-color),
+    0 2px 2px 0 var(--jp-shadow-penumbra-color),
+    0 1px 5px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z4: 0 2px 4px -1px var(--jp-shadow-umbra-color),
+    0 4px 5px 0 var(--jp-shadow-penumbra-color),
+    0 1px 10px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z6: 0 3px 5px -1px var(--jp-shadow-umbra-color),
+    0 6px 10px 0 var(--jp-shadow-penumbra-color),
+    0 1px 18px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z8: 0 5px 5px -3px var(--jp-shadow-umbra-color),
+    0 8px 10px 1px var(--jp-shadow-penumbra-color),
+    0 3px 14px 2px var(--jp-shadow-ambient-color);
+  --jp-elevation-z12: 0 7px 8px -4px var(--jp-shadow-umbra-color),
+    0 12px 17px 2px var(--jp-shadow-penumbra-color),
+    0 5px 22px 4px var(--jp-shadow-ambient-color);
+  --jp-elevation-z16: 0 8px 10px -5px var(--jp-shadow-umbra-color),
+    0 16px 24px 2px var(--jp-shadow-penumbra-color),
+    0 6px 30px 5px var(--jp-shadow-ambient-color);
+  --jp-elevation-z20: 0 10px 13px -6px var(--jp-shadow-umbra-color),
+    0 20px 31px 3px var(--jp-shadow-penumbra-color),
+    0 8px 38px 7px var(--jp-shadow-ambient-color);
+  --jp-elevation-z24: 0 11px 15px -7px var(--jp-shadow-umbra-color),
+    0 24px 38px 3px var(--jp-shadow-penumbra-color),
+    0 9px 46px 8px var(--jp-shadow-ambient-color);
+
+  /* Borders
+   *
+   * The following variables, specify the visual styling of borders in JupyterLab.
+   */
+
+  --jp-border-width: 1px;
+  --jp-border-color0: var(--md-grey-400);
+  --jp-border-color1: var(--md-grey-400);
+  --jp-border-color2: var(--md-grey-300);
+  --jp-border-color3: var(--md-grey-200);
+  --jp-inverse-border-color: var(--md-grey-600);
+  --jp-border-radius: 2px;
+
+  /* UI Fonts
+   *
+   * The UI font CSS variables are used for the typography all of the JupyterLab
+   * user interface elements that are not directly user generated content.
+   *
+   * The font sizing here is done assuming that the body font size of --jp-ui-font-size1
+   * is applied to a parent element. When children elements, such as headings, are sized
+   * in em all things will be computed relative to that body size.
+   */
+
+  --jp-ui-font-scale-factor: 1.2;
+  --jp-ui-font-size0: 0.83333em;
+  --jp-ui-font-size1: 13px; /* Base font size */
+  --jp-ui-font-size2: 1.2em;
+  --jp-ui-font-size3: 1.44em;
+  --jp-ui-font-family: system-ui, -apple-system, blinkmacsystemfont, 'Segoe UI',
+    helvetica, arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji',
+    'Segoe UI Symbol';
+
+  /*
+   * Use these font colors against the corresponding main layout colors.
+   * In a light theme, these go from dark to light.
+   */
+
+  /* Defaults use Material Design specification */
+  --jp-ui-font-color0: rgba(0, 0, 0, 1);
+  --jp-ui-font-color1: rgba(0, 0, 0, 0.87);
+  --jp-ui-font-color2: rgba(0, 0, 0, 0.54);
+  --jp-ui-font-color3: rgba(0, 0, 0, 0.38);
+
+  /*
+   * Use these against the brand/accent/warn/error colors.
+   * These will typically go from light to darker, in both a dark and light theme.
+   */
+
+  --jp-ui-inverse-font-color0: rgba(255, 255, 255, 1);
+  --jp-ui-inverse-font-color1: rgba(255, 255, 255, 1);
+  --jp-ui-inverse-font-color2: rgba(255, 255, 255, 0.7);
+  --jp-ui-inverse-font-color3: rgba(255, 255, 255, 0.5);
+
+  /* Content Fonts
+   *
+   * Content font variables are used for typography of user generated content.
+   *
+   * The font sizing here is done assuming that the body font size of --jp-content-font-size1
+   * is applied to a parent element. When children elements, such as headings, are sized
+   * in em all things will be computed relative to that body size.
+   */
+
+  --jp-content-line-height: 1.6;
+  --jp-content-font-scale-factor: 1.2;
+  --jp-content-font-size0: 0.83333em;
+  --jp-content-font-size1: 14px; /* Base font size */
+  --jp-content-font-size2: 1.2em;
+  --jp-content-font-size3: 1.44em;
+  --jp-content-font-size4: 1.728em;
+  --jp-content-font-size5: 2.0736em;
+
+  /* This gives a magnification of about 125% in presentation mode over normal. */
+  --jp-content-presentation-font-size1: 17px;
+  --jp-content-heading-line-height: 1;
+  --jp-content-heading-margin-top: 1.2em;
+  --jp-content-heading-margin-bottom: 0.8em;
+  --jp-content-heading-font-weight: 500;
+
+  /* Defaults use Material Design specification */
+  --jp-content-font-color0: rgba(0, 0, 0, 1);
+  --jp-content-font-color1: rgba(0, 0, 0, 0.87);
+  --jp-content-font-color2: rgba(0, 0, 0, 0.54);
+  --jp-content-font-color3: rgba(0, 0, 0, 0.38);
+  --jp-content-link-color: var(--md-blue-900);
+  --jp-content-font-family: system-ui, -apple-system, blinkmacsystemfont,
+    'Segoe UI', helvetica, arial, sans-serif, 'Apple Color Emoji',
+    'Segoe UI Emoji', 'Segoe UI Symbol';
+
+  /*
+   * Code Fonts
+   *
+   * Code font variables are used for typography of code and other monospaces content.
+   */
+
+  --jp-code-font-size: 13px;
+  --jp-code-line-height: 1.3077; /* 17px for 13px base */
+  --jp-code-padding: 5px; /* 5px for 13px base, codemirror highlighting needs integer px value */
+  --jp-code-font-family-default: menlo, consolas, 'DejaVu Sans Mono', monospace;
+  --jp-code-font-family: var(--jp-code-font-family-default);
+
+  /* This gives a magnification of about 125% in presentation mode over normal. */
+  --jp-code-presentation-font-size: 16px;
+
+  /* may need to tweak cursor width if you change font size */
+  --jp-code-cursor-width0: 1.4px;
+  --jp-code-cursor-width1: 2px;
+  --jp-code-cursor-width2: 4px;
+
+  /* Layout
+   *
+   * The following are the main layout colors use in JupyterLab. In a light
+   * theme these would go from light to dark.
+   */
+
+  --jp-layout-color0: white;
+  --jp-layout-color1: white;
+  --jp-layout-color2: var(--md-grey-200);
+  --jp-layout-color3: var(--md-grey-400);
+  --jp-layout-color4: var(--md-grey-600);
+
+  /* Inverse Layout
+   *
+   * The following are the inverse layout colors use in JupyterLab. In a light
+   * theme these would go from dark to light.
+   */
+
+  --jp-inverse-layout-color0: #111;
+  --jp-inverse-layout-color1: var(--md-grey-900);
+  --jp-inverse-layout-color2: var(--md-grey-800);
+  --jp-inverse-layout-color3: var(--md-grey-700);
+  --jp-inverse-layout-color4: var(--md-grey-600);
+
+  /* Brand/accent */
+
+  --jp-brand-color0: var(--md-blue-900);
+  --jp-brand-color1: var(--md-blue-700);
+  --jp-brand-color2: var(--md-blue-300);
+  --jp-brand-color3: var(--md-blue-100);
+  --jp-brand-color4: var(--md-blue-50);
+  --jp-accent-color0: var(--md-green-900);
+  --jp-accent-color1: var(--md-green-700);
+  --jp-accent-color2: var(--md-green-300);
+  --jp-accent-color3: var(--md-green-100);
+
+  /* State colors (warn, error, success, info) */
+
+  --jp-warn-color0: var(--md-orange-900);
+  --jp-warn-color1: var(--md-orange-700);
+  --jp-warn-color2: var(--md-orange-300);
+  --jp-warn-color3: var(--md-orange-100);
+  --jp-error-color0: var(--md-red-900);
+  --jp-error-color1: var(--md-red-700);
+  --jp-error-color2: var(--md-red-300);
+  --jp-error-color3: var(--md-red-100);
+  --jp-success-color0: var(--md-green-900);
+  --jp-success-color1: var(--md-green-700);
+  --jp-success-color2: var(--md-green-300);
+  --jp-success-color3: var(--md-green-100);
+  --jp-info-color0: var(--md-cyan-900);
+  --jp-info-color1: var(--md-cyan-700);
+  --jp-info-color2: var(--md-cyan-300);
+  --jp-info-color3: var(--md-cyan-100);
+
+  /* Cell specific styles */
+
+  --jp-cell-padding: 5px;
+  --jp-cell-collapser-width: 8px;
+  --jp-cell-collapser-min-height: 20px;
+  --jp-cell-collapser-not-active-hover-opacity: 0.6;
+  --jp-cell-editor-background: var(--md-grey-100);
+  --jp-cell-editor-border-color: var(--md-grey-300);
+  --jp-cell-editor-box-shadow: inset 0 0 2px var(--md-blue-300);
+  --jp-cell-editor-active-background: var(--jp-layout-color0);
+  --jp-cell-editor-active-border-color: var(--jp-brand-color1);
+  --jp-cell-prompt-width: 64px;
+  --jp-cell-prompt-font-family: var(--jp-code-font-family-default);
+  --jp-cell-prompt-letter-spacing: 0;
+  --jp-cell-prompt-opacity: 1;
+  --jp-cell-prompt-not-active-opacity: 0.5;
+  --jp-cell-prompt-not-active-font-color: var(--md-grey-700);
+
+  /* A custom blend of MD grey and blue 600
+   * See https://meyerweb.com/eric/tools/color-blend/#546E7A:1E88E5:5:hex */
+  --jp-cell-inprompt-font-color: #307fc1;
+
+  /* A custom blend of MD grey and orange 600
+   * https://meyerweb.com/eric/tools/color-blend/#546E7A:F4511E:5:hex */
+  --jp-cell-outprompt-font-color: #bf5b3d;
+
+  /* Notebook specific styles */
+
+  --jp-notebook-padding: 10px;
+  --jp-notebook-select-background: var(--jp-layout-color1);
+  --jp-notebook-multiselected-color: var(--md-blue-50);
+
+  /* The scroll padding is calculated to fill enough space at the bottom of the
+  notebook to show one single-line cell (with appropriate padding) at the top
+  when the notebook is scrolled all the way to the bottom. We also subtract one
+  pixel so that no scrollbar appears if we have just one single-line cell in the
+  notebook. This padding is to enable a 'scroll past end' feature in a notebook.
+  */
+  --jp-notebook-scroll-padding: calc(
+    100% - var(--jp-code-font-size) * var(--jp-code-line-height) -
+      var(--jp-code-padding) - var(--jp-cell-padding) - 1px
+  );
+
+  /* Rendermime styles */
+
+  --jp-rendermime-error-background: #fdd;
+  --jp-rendermime-table-row-background: var(--md-grey-100);
+  --jp-rendermime-table-row-hover-background: var(--md-light-blue-50);
+
+  /* Dialog specific styles */
+
+  --jp-dialog-background: rgba(0, 0, 0, 0.25);
+
+  /* Console specific styles */
+
+  --jp-console-padding: 10px;
+
+  /* Toolbar specific styles */
+
+  --jp-toolbar-border-color: var(--jp-border-color1);
+  --jp-toolbar-micro-height: 8px;
+  --jp-toolbar-background: var(--jp-layout-color1);
+  --jp-toolbar-box-shadow: 0 0 2px 0 rgba(0, 0, 0, 0.24);
+  --jp-toolbar-header-margin: 4px 4px 0 4px;
+  --jp-toolbar-active-background: var(--md-grey-300);
+
+  /* Statusbar specific styles */
+
+  --jp-statusbar-height: 24px;
+
+  /* Input field styles */
+
+  --jp-input-box-shadow: inset 0 0 2px var(--md-blue-300);
+  --jp-input-active-background: var(--jp-layout-color1);
+  --jp-input-hover-background: var(--jp-layout-color1);
+  --jp-input-background: var(--md-grey-100);
+  --jp-input-border-color: var(--jp-inverse-border-color);
+  --jp-input-active-border-color: var(--jp-brand-color1);
+  --jp-input-active-box-shadow-color: rgba(19, 124, 189, 0.3);
+
+  /* General editor styles */
+
+  --jp-editor-selected-background: #d9d9d9;
+  --jp-editor-selected-focused-background: #d7d4f0;
+  --jp-editor-cursor-color: var(--jp-ui-font-color0);
+
+  /* Code mirror specific styles */
+
+  --jp-mirror-editor-keyword-color: #008000;
+  --jp-mirror-editor-atom-color: #88f;
+  --jp-mirror-editor-number-color: #080;
+  --jp-mirror-editor-def-color: #00f;
+  --jp-mirror-editor-variable-color: var(--md-grey-900);
+  --jp-mirror-editor-variable-2-color: rgb(0, 54, 109);
+  --jp-mirror-editor-variable-3-color: #085;
+  --jp-mirror-editor-punctuation-color: #05a;
+  --jp-mirror-editor-property-color: #05a;
+  --jp-mirror-editor-operator-color: #a2f;
+  --jp-mirror-editor-comment-color: #408080;
+  --jp-mirror-editor-string-color: #ba2121;
+  --jp-mirror-editor-string-2-color: #708;
+  --jp-mirror-editor-meta-color: #a2f;
+  --jp-mirror-editor-qualifier-color: #555;
+  --jp-mirror-editor-builtin-color: #008000;
+  --jp-mirror-editor-bracket-color: #997;
+  --jp-mirror-editor-tag-color: #170;
+  --jp-mirror-editor-attribute-color: #00c;
+  --jp-mirror-editor-header-color: blue;
+  --jp-mirror-editor-quote-color: #090;
+  --jp-mirror-editor-link-color: #00c;
+  --jp-mirror-editor-error-color: #f00;
+  --jp-mirror-editor-hr-color: #999;
+
+  /*
+    RTC user specific colors.
+    These colors are used for the cursor, username in the editor,
+    and the icon of the user.
+  */
+
+  --jp-collaborator-color1: #ffad8e;
+  --jp-collaborator-color2: #dac83d;
+  --jp-collaborator-color3: #72dd76;
+  --jp-collaborator-color4: #00e4d0;
+  --jp-collaborator-color5: #45d4ff;
+  --jp-collaborator-color6: #e2b1ff;
+  --jp-collaborator-color7: #ff9de6;
+
+  /* Vega extension styles */
+
+  --jp-vega-background: white;
+
+  /* Sidebar-related styles */
+
+  --jp-sidebar-min-width: 250px;
+
+  /* Search-related styles */
+
+  --jp-search-toggle-off-opacity: 0.5;
+  --jp-search-toggle-hover-opacity: 0.8;
+  --jp-search-toggle-on-opacity: 1;
+  --jp-search-selected-match-background-color: rgb(245, 200, 0);
+  --jp-search-selected-match-color: black;
+  --jp-search-unselected-match-background-color: var(
+    --jp-inverse-layout-color0
+  );
+  --jp-search-unselected-match-color: var(--jp-ui-inverse-font-color0);
+
+  /* Icon colors that work well with light or dark backgrounds */
+  --jp-icon-contrast-color0: var(--md-purple-600);
+  --jp-icon-contrast-color1: var(--md-green-600);
+  --jp-icon-contrast-color2: var(--md-pink-600);
+  --jp-icon-contrast-color3: var(--md-blue-600);
+
+  /* Button colors */
+  --jp-accept-color-normal: var(--md-blue-700);
+  --jp-accept-color-hover: var(--md-blue-800);
+  --jp-accept-color-active: var(--md-blue-900);
+  --jp-warn-color-normal: var(--md-red-700);
+  --jp-warn-color-hover: var(--md-red-800);
+  --jp-warn-color-active: var(--md-red-900);
+  --jp-reject-color-normal: var(--md-grey-600);
+  --jp-reject-color-hover: var(--md-grey-700);
+  --jp-reject-color-active: var(--md-grey-800);
+
+  /* File or activity icons and switch semantic variables */
+  --jp-jupyter-icon-color: #f37626;
+  --jp-notebook-icon-color: #f37626;
+  --jp-json-icon-color: var(--md-orange-700);
+  --jp-console-icon-background-color: var(--md-blue-700);
+  --jp-console-icon-color: white;
+  --jp-terminal-icon-background-color: var(--md-grey-800);
+  --jp-terminal-icon-color: var(--md-grey-200);
+  --jp-text-editor-icon-color: var(--md-grey-700);
+  --jp-inspector-icon-color: var(--md-grey-700);
+  --jp-switch-color: var(--md-grey-400);
+  --jp-switch-true-position-color: var(--md-orange-900);
+}
+</style>
+<style type="text/css">
+/* Force rendering true colors when outputing to pdf */
+* {
+  -webkit-print-color-adjust: exact;
+}
+
+/* Misc */
+a.anchor-link {
+  display: none;
+}
+
+/* Input area styling */
+.jp-InputArea {
+  overflow: hidden;
+}
+
+.jp-InputArea-editor {
+  overflow: hidden;
+}
+
+.cm-editor.cm-s-jupyter .highlight pre {
+/* weird, but --jp-code-padding defined to be 5px but 4px horizontal padding is hardcoded for pre.cm-line */
+  padding: var(--jp-code-padding) 4px;
+  margin: 0;
+
+  font-family: inherit;
+  font-size: inherit;
+  line-height: inherit;
+  color: inherit;
+
+}
+
+.jp-OutputArea-output pre {
+  line-height: inherit;
+  font-family: inherit;
+}
+
+.jp-RenderedText pre {
+  color: var(--jp-content-font-color1);
+  font-size: var(--jp-code-font-size);
+}
+
+/* Hiding the collapser by default */
+.jp-Collapser {
+  display: none;
+}
+
+@page {
+    margin: 0.5in; /* Margin for each printed piece of paper */
+}
+
+@media print {
+  .jp-Cell-inputWrapper,
+  .jp-Cell-outputWrapper {
+    display: block;
+  }
+}
+</style>
+<!-- Load mathjax -->
+<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/latest.js?config=TeX-AMS_CHTML-full,Safe"> </script>
+<!-- MathJax configuration -->
+<script type="text/x-mathjax-config">
+    init_mathjax = function() {
+        if (window.MathJax) {
+        // MathJax loaded
+            MathJax.Hub.Config({
+                TeX: {
+                    equationNumbers: {
+                    autoNumber: "AMS",
+                    useLabelIds: true
+                    }
+                },
+                tex2jax: {
+                    inlineMath: [ ['$','$'], ["\\(","\\)"] ],
+                    displayMath: [ ['$$','$$'], ["\\[","\\]"] ],
+                    processEscapes: true,
+                    processEnvironments: true
+                },
+                displayAlign: 'center',
+                CommonHTML: {
+                    linebreaks: {
+                    automatic: true
+                    }
+                }
+            });
+
+            MathJax.Hub.Queue(["Typeset", MathJax.Hub]);
+        }
+    }
+    init_mathjax();
+    </script>
+<!-- End of mathjax configuration --><script type="module">
+  document.addEventListener("DOMContentLoaded", async () => {
+    const diagrams = document.querySelectorAll(".jp-Mermaid > pre.mermaid");
+    // do not load mermaidjs if not needed
+    if (!diagrams.length) {
+      return;
+    }
+    const mermaid = (await import("https://cdnjs.cloudflare.com/ajax/libs/mermaid/10.6.0/mermaid.esm.min.mjs")).default;
+    const parser = new DOMParser();
+
+    mermaid.initialize({
+      maxTextSize: 100000,
+      startOnLoad: false,
+      fontFamily: window
+        .getComputedStyle(document.body)
+        .getPropertyValue("--jp-ui-font-family"),
+      theme: document.querySelector("body[data-jp-theme-light='true']")
+        ? "default"
+        : "dark",
+    });
+
+    let _nextMermaidId = 0;
+
+    function makeMermaidImage(svg) {
+      const img = document.createElement("img");
+      const doc = parser.parseFromString(svg, "image/svg+xml");
+      const svgEl = doc.querySelector("svg");
+      const { maxWidth } = svgEl?.style || {};
+      const firstTitle = doc.querySelector("title");
+      const firstDesc = doc.querySelector("desc");
+
+      img.setAttribute("src", `data:image/svg+xml,${encodeURIComponent(svg)}`);
+      if (maxWidth) {
+        img.width = parseInt(maxWidth);
+      }
+      if (firstTitle) {
+        img.setAttribute("alt", firstTitle.textContent);
+      }
+      if (firstDesc) {
+        const caption = document.createElement("figcaption");
+        caption.className = "sr-only";
+        caption.textContent = firstDesc.textContent;
+        return [img, caption];
+      }
+      return [img];
+    }
+
+    async function makeMermaidError(text) {
+      let errorMessage = "";
+      try {
+        await mermaid.parse(text);
+      } catch (err) {
+        errorMessage = `${err}`;
+      }
+
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+<!-- End of mermaid configuration --></head>
+<body class="jp-Notebook" data-jp-theme-light="true" data-jp-theme-name="JupyterLab Light">
+<main>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h1 id="Making-trackpy-fast(er)">Making trackpy fast(er)<a class="anchor-link" href="#Making-trackpy-fast(er)">¶</a></h1><p>This notebook explains specific features built into <code>trackpy</code> to boost performance, and it also provides some general suggestions on how to make particle tracking run faster.</p>
+<p>First, set up matplotlib...</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [1]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="o">%</span><span class="k">matplotlib</span> inline
+<span class="kn">import</span> <span class="nn">matplotlib</span>
+<span class="kn">from</span> <span class="nn">matplotlib.pyplot</span> <span class="kn">import</span> <span class="n">imshow</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="General-advice">General advice<a class="anchor-link" href="#General-advice">¶</a></h2><h3 id="Subnetworks">Subnetworks<a class="anchor-link" href="#Subnetworks">¶</a></h3><p>As we'll see in the examples below, the need to resolve "subnetworks" — in which multiple neighboring particles in one frame could correspond to multiple particles in the next — can drastically slow down tracking. There is a seprate tutorial on dealing with (excessive) subnetworks. In the text below, we'll look at some methods for finding out just how much a of a problem subnetworks are in your application, so that you can weigh the various remedies against a potential loss of accuracy.</p>
+<h3 id="Feature-finding:-The-best-advice">Feature-finding: The best advice<a class="anchor-link" href="#Feature-finding:-The-best-advice">¶</a></h3><p>Judicious use of the <code>minmass</code> and/or <code>threshold</code> parameters during feature-finding, as described in the "walkthrough" tutorial notebook, can considerably speed up feature-finding, linking, and analysis of tracks. The best way to speed up a computation is usually to avoid doing it at all.</p>
+<h3 id="Feature-finding:-The-details">Feature-finding: The details<a class="anchor-link" href="#Feature-finding:-The-details">¶</a></h3><p>The <code>locate()</code> and <code>batch()</code> functions for feature-finding can use either of two engines for their work, as specified by the optional <code>engine</code> parameter:</p>
+<ul>
+<li>The <code>numba</code> engine is reasonably fast. It is the default when numba is installed.</li>
+<li>The <code>python</code> engine is currently slightly more accurate, but considerably slower.</li>
+</ul>
+<p>In addition, both engines do some extra work that you might not always need:</p>
+<ul>
+<li>They iteratively try to refine the position of the feature centroid, for the best possible subpixel accuracy. This can be turned off with the parameter <code>max_iterations=0</code>.</li>
+<li>They compute extra data about the feature, such as its eccentricity. This can be turned off with <code>characterize=False</code>.</li>
+</ul>
+<p><strong>Note:</strong> Before sacrificing accuracy for performance, it's best to know objectively how much performance you are gaining. Read on to the Advanced Topics section for information about how to time feature-finding.</p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="Using-numba-for-acceleration">Using numba for acceleration<a class="anchor-link" href="#Using-numba-for-acceleration">¶</a></h2><p>Two key algorithms in <code>trackpy</code> can be sped up by the <a href="http://numba.pydata.org"><code>numba</code></a> array-based just-in-time compiler for Python:</p>
+<ul>
+<li>Iteratively refining the centroids of features, for better subpixel resolution.</li>
+<li>Resolving subnetworks, as part of the linking process.</li>
+</ul>
+<p>The source code actually contains distinct Python and numba versions of each — and not one numba version but several, each optimized for a different use, and for 2D and 3D images. The default setting is to use the appropriate numba version when possible, but to fall back on the general-purpose Python version if numba is unavailable. You can also control these choices manually, using the <code>engine</code> argument to <code>locate()</code>, and the <code>link_strategy</code> argument when linking.</p>
+<p>If you don't have <code>numba</code>, we recommend using the Anaconda or Canopy scientific Python distributions, which include <code>numba</code> and many other useful packages. Note that it can be difficult to install outside of these distributions.</p>
+<h3 id="Theoretical-performance-diagnostics:-performance_report()">Theoretical performance diagnostics: <code>performance_report()</code><a class="anchor-link" href="#Theoretical-performance-diagnostics:-performance_report()">¶</a></h3><p><code>trackpy</code> provides an easy way to check whether your system is configured for the best performance. Currently, it reports only whether <code>numba</code> is working.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [2]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">trackpy.diag</span>
+<span class="n">trackpy</span><span class="o">.</span><span class="n">diag</span><span class="o">.</span><span class="n">performance_report</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>Yes, but could it be faster?
+FAST: numba is available and enabled (fast subnets and feature-finding).
+</pre>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="Advanced-topics">Advanced topics<a class="anchor-link" href="#Advanced-topics">¶</a></h2>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h3 id="Empirical-performance-diagnostics:-Timing-and-profiling">Empirical performance diagnostics: Timing and profiling<a class="anchor-link" href="#Empirical-performance-diagnostics:-Timing-and-profiling">¶</a></h3><p>What follows is a crash course in how to evaluate the performance of tracking. The general suggestions given above are good starting points, but they are just that — general suggestions. For your <em>specific</em> application, you need <em>specific</em> data about how long the computation takes, and how the computer is spending its time. This information may help you make your own adjustments to your tracking method, or it may help you when asking the <code>trackpy</code> developers for assistance (chances are we'll be happy to help!).</p>
+<p>You will use these techniques with your own data, but let's use the data from the "walkthrough" tutorial.</p>
+<h3 id="Setup">Setup<a class="anchor-link" href="#Setup">¶</a></h3>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [3]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">trackpy</span> <span class="k">as</span> <span class="nn">tp</span>
+<span class="kn">import</span> <span class="nn">pims</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [4]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">frames_raw</span> <span class="o">=</span> <span class="n">pims</span><span class="o">.</span><span class="n">open</span><span class="p">(</span><span class="s1">'../sample_data/bulk_water/*.png'</span><span class="p">)</span>
+
+<span class="c1"># Convert each image from color to greyscale</span>
+<span class="nd">@pims</span><span class="o">.</span><span class="n">pipeline</span>
+<span class="k">def</span> <span class="nf">as_grey</span><span class="p">(</span><span class="n">img</span><span class="p">):</span>
+    <span class="k">return</span> <span class="n">img</span><span class="p">[:,:,</span><span class="mi">1</span><span class="p">]</span>  <span class="c1"># Green channel</span>
+
+
+<span class="n">frames</span> <span class="o">=</span> <span class="n">as_grey</span><span class="p">(</span><span class="n">frames_raw</span><span class="p">)</span>  <span class="c1"># PIMS pipelines work on entire movies</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>The speed at which we can read images from disk is not something we can hope to improve much, so let's get that out of the way before we do our tests. Also, we don't need to use all the frames for this example (though you're welcome to).</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [5]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># This gets the image data out of the pims ImageSequence object, and into a good old list in memory.</span>
+<span class="n">frames_preload</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">frames</span><span class="p">[:</span><span class="mi">50</span><span class="p">])</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>Just so we don't forget what these images look like:</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [6]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">imshow</span><span class="p">(</span><span class="n">frames_preload</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">cmap</span><span class="o">=</span><span class="n">matplotlib</span><span class="o">.</span><span class="n">cm</span><span class="o">.</span><span class="n">gray</span><span class="p">);</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
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+<img alt="No description has been provided for this image" class="jp-needs-light-background" 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UVtx1K9CX5ut9t49913MTMzgzfeeOMQtMF1Mg5c5bVtOBzivffeQ7fbxdraWrD2LSxyFOFN7PkoioVttAacesxWcDOstlKpYH19HSsrK+H7WPSVku2zFynF3/i7HtqZmpoCAJw8eTLAXXrwhu9RDmgaAktPfHOS8AG1UqfTyQg8IF/TKlncypIdIP2ekMLy8nKYyDICRyEPWvitVgutVgtTU1N46aWXMu4RN7OIebOd77//Pu7duxcm1G5iAllXmwL6p37qp7C6uhrGcHp6OsAxKuTtOBT1zROASjbMKc9b8CxuTzipW1+tVkMMN70JLcc7wp0nUFUR1Ot13Lp1C3fu3EG/348KD4Xk5ufn8fzzz4ddfw+2KVO3GhM6xs1mM2wia0y/toVl8beLFy/izp07LuRkNyzLtFNJ18onn3yC3/u938PS0lKIX7eWcp7wtri0d4bAQodeW7w2Kt+ptxbrK/d97MlXz/O1/dGxtBa+toW/UabxBOSZM2cCPEIjS8Noe70e5ufn0e120W63f7AHcMYhMmGaptjZ2QkaJuaGWCEZw4YtKRNafFmtPLqhJDKpV1asnuFwiPn5eUxNTeHhw4eZd2w8s1qQk5OT6Pf7uHv37qH+2vfUKm02myFaRMeDsAPzLihmby3XshTDFY/yniW2g4q81Wrh0qVL2NzczJSj/aOnpBvZZergmJw/fz6E8NlQSX2nVquh2Wyi2WxmXOEyCtB6SJ7QpuBjzgudK9anG8nVahXNZhMAcOHCBbcdOsfjWrS6LgeDAS5evIgzZ85genoaw+Ewdx9BoztIjKqgwCSvFo2Xlm3J6696JLEAgnq9HuL92UfPQGQ5ti12XFUp1mq10E8bPsr4bJbjefSVSgW3b98O3z21m5MAAjRy8uTJzMKxi0gHkINXRmjoMyrsNcJDrRjdkFQ3ZhwidEGh4i0sWtyc8GaziampKczMzLh9JXlMrQtdmZbwS6/XC3gaUM7iLiKOm1pJj1umtZ6uX7+eiWvl/HQ6nTBuseiTPKrX61hdXT30veet2bmwm7/HQcPhEF/5ylfwzjvv4NVXXw18w/0Q6/Zba78ILnwcokXIo/HEt7069JSrhRWYxwfIJmgqorI4us5JbD+Llq4+x/0H1qX12H0JAJmT3Jba7XZ4RxXC/Pz8IT6NhSc3m82g/J5ai3tvby80UhetxmGS2MnYUd+yRK149+5d3L9/HysrK5mY5uFwGOpgVjRadrOzs4csH28Rsy+0TFS72+eoubm77Lm5agHFyIOT7IGkspuSMYoJCeY28Tbbxq2PvNBsNkP7+/1+sFY6nQ5u3ryJ7e1tXLx4MQi5o9Sl7WT/lKzQzrMUSfo7Bb1XNr9juycmJoJnpRnmvLbl8YP1vNiOccl6eDQIGNmlQlqzXHItWc+1VquFBGzjtElhCytUvecshKfkjaH3m8Z3W2J0moYpA/vjpVFpaZpid3cXk5OTSNP9zIOzs7O5cB6NPcqaH1iSqaOQt5GgluE45cSiQLx41snJyUx4nuYCUQ3M5Ep2Ejl5empT26/Pq1XKdKDNZjOTEpMYqMYOa9+0/eyDLmDF5aloeBKLsfIezmwXEqMl1NLV9zheg8EAzWbzkOeiY2DbnOdJ2Gc085zi3dw/2N3dRbvdDqFUsZh0LdeDQby6YwpABS3ft+WW4Vkdd871xYsXsby87OYOyWuz92zRkfTYfoNi8HyOVqmFkrSMTqcTDByOiRoMabqf6phRQTEYg89ag4jZO8dVzLYc1pFXv43iarfbof5KpRLy0nghv2x/q9UKEOvS0hLq9XrgX46letx8T/8voqdGcPP/ovhiwLdCVNPFGFcXnCbL8RiZTLyyshIWk9WWjGqw33llqZCnu8XDJizbWgRWYDOPLz9rfTaCRMfVhotZbE+fb7VaePfdd/H666/nHr/lWNiMe2zLuPi5JW9hcB+iWq2i3W4HnLeMsMxri0JLRe8/jscC+G1Vg4K8oEInb7OsDBW1WSNI+Dzf0b0gChruqfAZYsbWcyaswj7FlLgdW2tIzc/P585Nmb7Zz1pfLCSTskTTTdgzFdr2NN3fkNzY2ECn08He3h6azaY7/kXH79M0zcW4n5pb3o+6yHVQvFhOS8qIMVdEyyCE4eUxiZEnvGMeAcmz6Fmf1mvdUK++GHmx72Q4/tvZ2cG9e/fwySef5JalDKv9YqrKWETLUYlMzvlYXFwMLnjMrX3ayQoM7lWwP2Ujmx6XFKPudDpRj8+j4XAYcHibRkHTlXp1xtaTZ4WqF37cewzaJq+NqnyYeoEhvLp2+v1+gIPoBe7s7LjBFq1Wq7Q88eiJH3lvt9thcGI7+0VEeIMDyfIs2RjPvDhJYljU/sQfdSFRQAHZSfcWHF1AKhfdnVcvoQhOUM+kzLgoeVasxs8zRwyAkCsmr+xOp4NGo4Fer4fNzU1UKvuHfFQ5jnP6tGx/ZmdngxcxDr8UPWetLe2HB1cdhbxoiFiElLVEj6sNlmgprq+vI01TrK2tHcJwY4pYLUeNXmq1Wrhx4wYqlQpWV1ddr49kFa963mmaZtJFxLyPPAv+qGS9bIbbMnJE66Ig58b33t5eCO1lW7TN9BbVOx2nvU88jntzczOcVNSTfeMy53A4xO7uLnZ3dzOa0iO6XYyX9hZMmTAvhRw8haEMSaxQE9DzWVoRFnJgGayrqE0xQa9t9p4fDAZ48OABKpX98MJXX301AyMRM69UDm/OkfHa7XbIn0GFoEryOEghLD1WrBRzx/m3vleEi7Ouzc3NsNBseco/MezYCiV9Xy1Ju7gtXME2eXUp5Qk1+xz7wDrm5+cz48w2eYnClO9ZHv81Gg2cPn0ae3t7bhy+tkvfp+UKANevX8f29jZeffXVQ2vZe7doXMqQbaMaVDHFzs1ZbkbOzc2hUqng3LlzAA4CKjTdNOsgnGTz7QNPcTjgaDQKqQ01/7SdpNhOsQ4kE7QwITlwWAAqfq6WjmKKFmv2Fg3LZngahZSNk7ak1oIyaN7i1Tbwd6+NtmyvD2q5MQpEBau6gfq8todxsPREWLZNJk/c07blcUgVoQ3jsu20ZIWgzqttny2H9yvasVEPjHPvufHenFormla93bgs074ygtqWZYVttVoNl4B4z8XqUcxXLeVarYYrV66EvmtOeR07m+2RQo3GgCZKi8Fzlrz+e3Cap9hZTyxEkM/Y9AyUY0wcxfXA/nGPgF43Qwep0MpmBSQ9UcE9NTWF5eXl4KoV5c8uwrYotGObDfZvde+OQmQGTo4KFf5uLRKvTWXqsZ/VMijapVfi4qDVqjHnqng8K591et+p4GIdyoxlhEuR1ZRnTVvSelVoqwAr8mA8IceFRzyY8da6SRybX+97K8A/T0xbBSNwkO7V7t+o4WTbbDfBrZepc2jHnmtcBR49bC8p2dWrVzOhpkUU8yi1/2WoCH7TOU7TNAhtYF8G8Vo9LUOVMT3SBw8eHEpYpn34XCzuJEn+NYApAHsA/gzATwH4PQD/LoB1ANdGo1HuVvBzzz0X3XUFxnd7Jicnx75wIM+isORZ+xT+ujOvO+BeHOq4WOVRLKwy5TFmlALcK0tx3lhZPECki5K3rpfN63Ec5HkZHHcaB8A+RMa9lbywxJiwoLJmdJDHQ2qhUzEWCYTPg9gPhfRiz9GbU+Wt/GtxZn6fR/Z3zgG9VYVFtZ2VSiWTs8ebJxvuV0Qx71nbqZ60PZeg80f5Qm+beUjm5uZCNFbMoOI407DTzKhl+3MkwZ0kSQ3AWQAnR6NR+tl3XwPw3dFo9F8mSfI7AH4ZwH9dpjyrpZX5VQjmMQl/I+MVaV+PLOZYhmLulvddTOAeZTHnYZ0qrIqsVC6UjY2NXEGbt+A9xUJlcBQr+TjILjguQmaDzFMoevqNvGSzOZLsKUDyrLr8CtM9DnT0OOOjApztVLKwmSo+zyJUqLFM27hHwvFSS51jxHrYlqI1OM7vsTBdJSp3Hiby9jV0jABkToMCyCg+711gfyyYyuHy5cuZ8soqo6Na3P8RgD6AP0iS5McA/BMAPwngtc9+/yaA/wIlBLcuBs/NohVHlypGtPq008p8mtBJmdGmeMwbNOsiAX7sr+J2Xnu0PDsO1sXU3/g5poRarVbY4C3CKNUKXV9fx/r6OtbW1nD58uVCxrGKQd1Z1m3d55gS0bqKDo547ShD9IL4/+bmJubn5w+dhI1hyRbOIHlWNMdUj+XTQrfpUb1+FCnIsgpZycZps07yks6h8h/XjT0boGXFxiZGnGO1MrU8wlA8Ys/22zVho0u8dWPXnt1w1TXCU9KabdKubY0E481OPMhH2MnmzfE2VTc2NgDs752ot679APC5HHk/AeB/wr5g/g8BvIN92OTBZ78/APAF78UkSd4E8CYAnDp1KvObDmaa7m9OdLvd0JkY/EEtHUs2FHNRY/idFTxlNKDW4XkJRULGWmJF8IildruNr33ta1hdXcXrr7+euQ09TyDxM49Zq0tcNGZ2oXDMYhEAeXQUbLcMZES+6fV6mJ2dzRyC8lIraFkKl2hcPaMIGHOtfNnv719w3O12sbOzg/Pnz2eywcXqKquEYhazVTKk4XB4aO/C1scxuX37NobDIc6dOxey52kqg3HztFjlwvFTuMF7x16ior/FeMlawmXao2V2u92MMuDdtpxb3VhkqtZ+vx8gEr3PM0bkJ4azeh5OWTqq4P4IwP8xGo3+EsD7SZL8BYDnAJz87PeTOBDiGRqNRl8F8FUA+PEf//GRZSK1POk+9ft9PHiwX5zGg6pQLArt8siDOcaFS2LM5AlsD1c7DniA8dQvvPACZmZmwrVl3W4X8/PzIU0uSccXQLj52y6scch6D1zkxwl/WLIKMiYAOY/tdhsAorxiFZpiuvpbXggicBAhwtzVXOSeh5VXTsywGIc8PFrrVSX9jW98A61WC3//7/99zM/Phw1mRhJ53sI4pAaYJSoHmwjKvh8jb73lrUsK0eFwiK2trQyv2oNEdrx40IYH+BqNRki9YCEYa9krRMTvjjKuRxXcXwbwcpIkV7GPdU8B+AMAfw3AH2MfMrlepqCYVcfvmU/k/v372NvbCxPb6/VCIvl6vY6VlZXwvicgYwvbc680NLHIetfPHjzAMmOwiC3Hw0BjY8S2cRPn8uXLmJ+fx9bWFu7evYt79+5l7vP0+qAhWWl6cHWYZxWx3ep2KnmHI8oqJy+e3iNavJVKJROJFMOtFWPmcxr2mDe2amWzLOKfJBsNQSucZwRqtVq4tIEncMtCQoqxk9RqLhNCZtvPNlql2m63ce7cufCbJpGy5Wj7LFlIQsemaI69zUD+45q38eD6v22jV5fN+Nftdg+tcU0Ox3aRmCqZKZtpaSuv6Nrx0jHbz0ehowrurwD4jwF8DGAA4A0ANwH8XpIkdwH8KYBfLyokSZLc3+k2WXefeat5k7iFXGKbEnkLRhPZxK6kImOxLRo2x981aZRtQ4ypPCaPjYddFIq1E8Odnp7G2bNnw8XKGoqk8ancPfdwQVs+BQjf0xhUKgaLHY4LkRQJBv7NiyiIIwP7C1CVtyWOA5PU61Vvee2iMtOIh52dHTx8+NBViJrbgpYq22xTouYpaypItYhbrdah+wnLCAAPPtHv0nQ/suHll1/O9J1nI+x8WuvURn5wTVjPxrOK9bOGa+pv3W4X6+vrqNUOX1/H58n3wEFaZW//Sfc7FBLV25oUIlHq9/vY2to6dL1eTMZYRRWLZDmKF3MkwT0ajR4C+FvOTz9xlPLysF3FrXmoAwBmZmawuLiIiYkJnDlzJgygCikA0UngM9xk6PV64RKDycnJ3Ly7Snm7x7ZvsT4flRSDJb7GMVpZWQkaXxWNJqmyFqW2X4UJFRKFkmJ8umls+503r7H+KMUwYQpuZl3TPOrkgzxLh++8+OKLue2xh2KopM6ePYvBYODeAvPee++FjHD8nnerxiJZ8sZGrWNuvnsREV5ZMahAPSf7nDUyPCFLb4fKXIWmltHtdoMnVMQLavwosSwdO20/x11vgIpBMmp4EKvmBQd8Jy/3Dd/jbxMTE5mLm/kMrfjZ2Vl3fR0HPfHsgGWIlvdweJArm5ek8reYlVckIGlB7+7uotfrYWZmBnNzc0fCzH8QlLeZpi5+bGHnCWyvLr0TDYgAACAASURBVLXkSdxo0zzZx0FFc0frt1arhVtsaDVNT0+j2+1mdvaVFMpgzDkFflF7iL1qXfp7mqbhDsjJyUk0Go0Ap3Bhl03j4Fmg9kouChgP+vPwayuI0jQNG6gcE/ZJvc2Yd6ft9OaoWq1ifX0d169fx+rqKtbW1g71LdZ3PZDCdjBSiu3leKjyYTv1HIeuARXy/X4f77zzTsjLQ+WqsKEdT3pMim3PzMwcEs63b9/ORI3keYGPQ09UcCtUYhlBrT3+bvFkdaU48EWkgo8TRmbZ29vDxMREZmF6cIlSnoXiMbVaPPa5sppZLSULc3Dh6HOeRV22LhVwGrpEhi2KIInV431fpGSpQHgvX6fTCfkgNjY28Pbbb+P111+PLhbGElNQjZMqVKNH1LoiraysoN/fvwle4TS+6322pPxmx0LLVFgqRrRAadjwPQDhXtLNzc3gMbFd1mvV9lCoc6OSa3B+fv7QbVG1Wg2nT58ONy+pMC4iXUtWAG9tbbnRY3yHe2Ix4hpZXl5GvV7PpEe23rnKIHvic3JyMkSekDh2qlg+L3riuUqAwzgdYYszZ84cmmyPudXNUitJf9PfLRRQqVTCxQadTufQwlOKCWOL8ympglG3zPabz9noAc/iUWvDjoU9Iuz1xbqTNuzNxu9y4XphT/xdN8t08XsWvofrWrJ4Ia3MVquVOVVHevjwYQaT9Yht4AanpzTLKtJqtRoyxRE3Z5L9RqNRKs2wrVMxcYUDCP/Y+VXrmG2iQmHebA9X53dMQ6o5NVivXQfc29B6OR96ITawb23yAEuM/1hODNIBDuPely5dClkMPSpKm0G+5x6HjcX31mW32w2XI2iKV4XD+PzS0lKIfLP8VTasmPTUJpkC/E2wSqWCmZmZMAmx49jjEhlRBZItl5ZkWevAlh8TANVqNWyMaWTBUepR0jo82EIXYVHb7aZumqYhlFCvbmNZNhmVChrtNz9biilgb57V8iLGOj09HU5CNhoN/MzP/IwbA2zHWL/3IjNiCpWk5bfbbVSr1RAxQrKx8BbK8vhEM8dZxazPe9EVdoMsTdNwEbJn/DQajcwhF242a130cLgmu91ugKh4cTJTG9voJG9MNSKG3oDHH3Zd0sKv1+tYX1/H7du3Qz52kh2rPJya+0C6manvWiOy3W5jZ2cnc8jGpqnV9+3eR9n1bRVlXvDGE7e4Y4vUyxUAxPOFlIlx5fPMU6FZAWNWlhcSVFQHJ6vVamF9fR2nTp3CxYsXARycuKLldBTymJwhSUWWdl6Z1hPhwrAupLeppbv7/KwueFHdsbba+aDFQ+WnV0sBh5MgWVKlnbeg8uAkba9umOtvth0eBOGVr/yhQp/fcSOd8+Rh5+QtbrCrslCDgYds6GHZDI9UIrr5rLe0szwvUZtNMMb6GdnzW7/1W+j3+7h27Vomt4f22UIvaZri9u3buHHjRoBgPN7R71VGMCpkd3cX29vbGYvbJnviXLRarXCGZHd3N1ja6h2z/Bg9rnHm0RMV3I8ePcq46DYiJDaRZYWoJeJUrVYrw3CcVDvZRRtXdjJs+E+v18OHH36Is2fP4vz58+Eg0cmTJ0P/WFasjqLv7Yk8T4HFrA+S1w8Ply2jCLwog5gyJHmeTxGj64IkPJIXaZFn8R+FyCua3a5MXLU1FCyR51QgcH4ZsZCmKba3t3H27FmsrKwcKkutfY6LKl3iwNVqNXguqnCJ6VrLn1FFNptfWaWrkNv6+jr6/T6ef/55LCwsuAYalYrys0IUeXVpnfobM/l5kKc+S6+g3++HzH+6//V5Etv21EIljx49QpqmWF9fz7gfdiNGIyU8V1NdLm9C+H+aprh79y7+xb/4F/grf+WvYHV1FZVKBVtbW8G9IWNpvQCCC048UwVHjBYXF7G4uIiZmRl0Oh0MBgPcu3cPQPYGDBW2XBB50SOsl3XbfAce3mnbastJ0zRs8lorks+pReIJYyvwvTGyVqJakfYdG85o6+P/+r4dC61XhZd3uCo2lzGFkKYpVldXM7/HrCurPGICT61ijoFG8VCgbG9vY29vD7Ozs+HyA0IKVCaxA0Z6iYS1HAFkcGzW22w2A4YPIER4aD+0rtiYsW9Xr17Fzs4Ozp49e+hd8oSeOGV75+fn8cYbbxzCslUGaHkMzTt37hz6/T5OnjzphhjqvDFviY3ZJm95G9Usw1KRcWDbXKvVgqz49NNPo+89UcE9MTERgP9arRZuUFFrw9sA4N9lLCY7mHNzc3jxxRczG5/NZjNzu7bW6UVm8BizJ1y1vmq1ip/+6Z8O7zJZFsuoVCqZe/loCdEtVObk3+ryMkQyz9KMHTKxC5VWULvdxqlTp0ISfLqRZcbaKqFYNAUjQmw2Qs/1VaFg8VxCAlxoaZoeOqBhScdLD1+MAytpe1lm0TPsSx4E452qVC+QWL5ivvp3u93GJ598gvPnzwcBG6tPIUDr2TYaDWxubqLf7wcYg3XzGfJmmcgceiLk81qthqtXrwJAJtGXnQP2h2c2uPHrQXXsK7/n2n3vvffCGnvxxRczBpPylK5zwlW8UWtmZib0XzfnrZU+LlnPGTg45EPhHaMnHg5YqVRCEDyZjIyiWpQTlueaeWQHtV6v49q1a2i32/jOd76Dubm5kKXLI50YWhl0dRXrKtK2tDRVKXS73czBASB7mzaJE6inMrnbrphl2TGwz+u47+zsHFr0sX0GFYLeOOjvxMk57t/97nfx4osv4uWXX3bHkbiuF91g+0CBV5Y3vI2sMnsk9t2iuvKEtAcLedavCm7Ou8aUa/lbW1totVrY29sL64p1xXggTdOM4cS5WFxczCga2yYaWWXybJB/afDwRiH93Y49o3L4Lu+UJb9boebBgYRGyUsA3E1FjfFWD5A32tRqtZBN0hqS48ojS3xXD5XRgHtqNyeTJDl0H511QWykA6nsYFn3jYLgwYMH+N73vhcu9WSZFqfWeilkeUemurUx61wXJdvMcvhvZWUFlUol7NjbPnY6HXzyySd4+PAhTp8+Her2sGGOWZlNQfsuQ5lshMQ4ZOeNf3PhcTHNzs5id3cX1er+4ZbNzc1g3evGo/JETNjpAZI8PN++bxVQ0UZ0LH7etknr8ngh7z3bBhv2p1E9dvOOCrfVarn1aB0szzuKrwLbg9SArFC0SZlixP0l7xSp5WV6wFyblUolE4Zapr5arRZOsS4uLkZDBTV/OuOw6R1MTU2FW468bJJ8x7OerTHi8Qe9aMtPRTdzPfFwQDLE1tZW+Dsvyb0nvPOwV32HOGCappibm8PKygrm5+cDA1vr1bZFn7MHfvKsK23DYDBAt9vFxsYGfud3fgdra2uZFI/UvAqNdLtd/Omf/imGw2FwVz1YQZWf9iN2aAgAPv74YwAHmDujUzwrzVqGMUGlHgnr082uer0ekoYBCEfQGZ/dbDZDtIjWo/i/FYh5eUe8dlLg6HgUCWy+p5YmN2Kt4ItFP3ltUlILVj0KtbhJ6iVQsPEzvTtusBECUYXFsglBUBjqeQfNZ6P1d7tdbG5uhr0phRq1fexTmqb4+OOP8du//dtYW1sLUIkdCxVobIOmnyCMQSFqx92OP0/Jetax4vy07re3t/H9738fp06dwszMDE6ePIn5+fkAF9q2UqbYvsTWpvaD+DthGM59o9FAs9kMKWM9euKCm9hXu90OZ/+B/N3qPLeZ7yopo3KyeIyWpG5nrKx6vR7aSGYqi3HZNtRqNayurmZiablA6DryqPTCwgLOnTuHqampED9rLUSFLCxckdee69evAwCuXbuW6a+ORVkMbzgchsRP6o0A++PNU2/Ly8s4efKku+hYN5naKhEeklKySrsM31gh6L3n9VthMy543jmp3kasrLzw1lg7VFHp+9aroZVGi5bzQcsY2N/c4+eFhYWQudCDEOw1Y0oUMp1OJ5xN8DwHbSs9yjt37uDSpUuulU+rWK15O35cJ3leJaFIa6nbZ3TTd3t7G/fv38fOzk6ALJrNZuaKujxPS2Etz7BSi7/VauGjjz7C3Nwcdnd38cUvfhGbm5sBRhoOh093VAmZb2JiApOTk4XvlD19FBM2ipmzvJh7bctpNBo4e/Zs6QRULEP/B/YX2KVLl8JpTSVa82Smra0tbG9vY2pqCmfPng3CnIs0b2OtjAW5uroavB27SWX7UEaAb21thU0tVShqgS8uLgZBwSgW9kstG7rjxFSBA9fSoxh0RLIWb+w51uFFnvBdTQPAPYqyCi6PtF2azItRHZVKJXqkWz1EDTuklWo9xY2NDbz11lvo9Xr4uZ/7uUxZtNRpibO/LJcJvoDim4tojDSbzdx0BOqZMVxRrVwLL8Tq4v/0XvOetbw9MTER1uXCwkJ0rceg0Vj5TDEwHA5DmYQ8d3d3Q3v1nadWcJ84cSKDHwH+5gFJNxGKyHONrJuo3xeVycn3JrLIKtVJVguSJ9u0DG1fq9XC+++/j+9+97toNpuYnJxEs9mM7sKT8uKEgYP+0lpkWR5kEDtgwDLYNxV0d+/eDdCLJi/ixquNNmGmPZtylkl9qAS0Pu8+wDJ8ofXa/qprX4STM3UBLx7Os/KL9htsO+hxvP/+++j1epibm8O5c+dK8T5/Z/8IIVEAbm5uZiJEXnnlFbRaLTekkQKXc6bjQvyYQlzhCO0L28OcQIzNLgoXZA4axXq9daqJtFivRq/YtalKwK4TZn2kArQnkT1ZQl7Vtiup18gbvarVKprNZiaPS7fbPZQi4KkV3EmSBBfL3mxjhR0/K4MULQg7yZ7l6G0M6O+6q+0JfsUGy7ZDT/9ZgaTZzRqNBl566aUgtIk/kxSLtN8BWRfXGwtCMipkvefV6lHhRlzwrbfewsrKCi5duoR6vY6LFy+G53X81B32Fjh/U6G9t7cXLPher4dbt24Fpo+N9VG8smp1/yLhra0tbGxsoFarYW1tLcxTq9XKjM/CwkImpSzHScfIjrnHrxZiIdXrdZw/fz6DHXthll4sOoUJBRCNon6/j1u3bgFA2LSbn5/PjCVhGfaJB370cBFz7qiF7x0/t4rdtl2tY7uPwfXNd9kfDw+348m5rFarmY1GCmLCMCrEtX32dGSM7HyyTKZBUO+mUqlgdXUVt27dyniUCwsL6Pf7hxJ1VSqVpzeqhOQJFe87Jqbn72UEuBVAlvKggaJ2liGr2YnbqWWkbVEXl9bS66+/Ht7Ng3RUCSh2Z5mdlq8qHOtSevVwAfV6PWxsbODDDz8EAHzve9/D6dOnAWQPFgEHSYLUdfVilbWOwWCQwY25kDY2NkLO9LwQzqMQFwxzZ3PRX7hwAd1uFzdu3MDU1BSuXLkS5o84svKgWvKcA61DjQcV2hbyqlT2Iyo0L8m4pOtDN+s++uijYCmzLl1PbIeGr9ZqtQxmbEnxXfbV89K0bXmkG9EaM65KwK4r9S74jEJwtGy5R0IvRk8fa4SM9sez9imANYSXcdiERBihRT6+evVqmA89iUoIjHxXr9c/l8uCf2A0GAxw8+ZNtFotXLt2zWXgccLfngbipMU2FXUDBsiGZ5UtnwtRGYNltdvtjKCmsLGLL0Zk9rm5OczPz+PixYshMoHlsR18nu9QKHuhdayX2e/m5+fDYuz1elhaWgKwbzkxjtizOC2VHTdVKrQyaXFOTU1hZmYmWmasXj1xy4XNsjkvg8Eg5MdmRAHbcJzKiS46Ny+9zHieQK3X67h+/Tru3r2L8+fPZ4RRXl2WxhHcSp43aiEPes5qjCg812q1MiGMTG1Lg4fK0YM7yvCPRo1paCGJ5XLcNjY2DgntNE0xOzuLTqeDTqcToq48KiW4kyT5AoBvAHh3NBr9apIk5wB8E/s3uX8HwN8djUaPkiT5BQC/DOARgF8cjUbfLFO+RxQ+w+EQ7XYbrVYLt27dwqVLlw5ZaHzegz2eBoq1Kw+iAQ7HqlKYx6AAFRC0eOzzzHRGN42MoxaSjSJQK0pdWUa40LqI7UGwDVw4NnyO5VPIsR61nPjM6upqpkwP/ooJ1bK8oaGFXNxXrlwBcBjHtMLIU3w6DxrhwbpYD+tinPtxko6jDXH1XH7tGzfWPvjgA5w5c+ZQ3LfGnPMzvWMtx4NJtB1aliWF9mZnZzPvq0cBZPOuczz1mrvd3d3A84R8vI35cfOSsH/0SJiDJea98rxCr9fD1tZWZh0UUaHgTpLkTQD/GPtC+t3Pvv7nAH4DwG8CuAngy0mS/CGAXwNwHsAcgD9OkuT6aDT6N7GyNTugxbNpGS4sLOCVV17JhIDFsEItx3vWuoLEmTwLkRTbMY+F33mLVjEtkmKXnhDzyBOISmQC6x4rIzCPhVp8yrC6s03m92AkjS0mhMLfvc0+fr+yspJJ4G8PHNmdeouBk7TMIuuu7G/af7VCucCsotBxIa7JMbYCXaEs4rUaR7ywsBAiP4qiNLy9Dds/C1VZBagKVufSg9bo4nMzTfnMC+mjh2S/t3lzyihSnVtCbZ5nSC+NUT4U2OQvTRNw9uzZTLtjytjyvR1vr/0MOLACm+tR1yTbeOvWLUxNTeHkyZOZdZGHIhQK7tFo9FUAX02S5AYAJEkyDeASgP90NBp9miTJWwCuAqgAeH80GnUAdD67NPgygN8vqsMSLVQNAVtaWsosKjvx41raZQVkniIYh8gcsdNbZcjie1qeRquQNPcJcHjDh0H/FLzMtzw9PZ0b3cOy9H/Aj4whUfG2Wq2MMrP9yyMVDLTe2XdrRVrFU6Zs/cfvylpdN2/eBLB/Ew7vhvTqYD5n9RCJGyuEEuO7MhuvMbKWqaVYmwnhNBoN3LhxI0SmrK6uuuuurFAep93WOOClyWrQ0djb2NjAgwcPcPbs2ZATh9FY5BWbyTGvzWrc2TXmzZNdGwohUnhT0RDKabfbWF1dzXjAeXQUjPskgATAg8/+foB9a/zH5Dv9Pkqj0ehQ6JmHt6XpQT4F/mYpz/oo+6xHeQxYFJHi1RuLOBiXKLz4mRgy6yFjEicmWQtaFZFmnbOC284Hv+PfuhA85aYWBMPISOMII/abSoZWFIDMLj6tLo6LbiB5pP1T119hDu23ncerV6/i+vXraDQamROI2u5KpRIgJRUe/I3W2uMI56NSkRGkNwZxLdrLDMalcQQ8IR5i1ZxrDfnj/PJU597eXtjYvnDhQsbD0L7GMP6YARfzfMeVK2z76upqiHNX7+e4swP2AIywL8D/7LP/HwD4888+k/h9hj6DXt4EgFOnToXvqY2088ymRwtGj5YeVfB5g0vX1YNtLJGBtQ0xTNVSHqSSR147dMF7GDSQTUXLOj0BDBwk9eHnGB3Vwvrkk0/wwgsvHNrALGNdeHXw887OTugjI02q1WrGe+A5gSJvycMWY/2ybV5YWMAbb7yRwbD1f8X/FSZRLyKPJ45bmFvIxEJdyjPKU/Qoer0ems3mWOuwyMuNWbI0kCiUuQejV4RRsA8GA1y+fBnA/mEaCzsovJbHy/qceip2HmLwkvbXmzudc71NqOzduWML7tFo1E+S5CaAv5YkyT8D8NcB/DMAfwjg15MkaQCYBXAGB5i4vv9VAF8FgOeff36kjdTBpUvD5EQqTOm6eO62JQ+X8jAs+zeVhLrKekmqlu9ZoEpqWXmYrBXAOhYeec/bd/hZ269Cg2FH2h6ejNMwsdj4xDwZa71QKCwvLyNND0LoNMvaODCAbQOPzi8uLmby3bTb7RDzPQ7k4VnLNCh0rtXQYMyueh5FHoUnNDg/RZDGccIQaql6ezwabQQc4OGamqKojWVhydj6YTuAA2yYHovy/AcffIDBYIBLly7h8uXLaLfbmbMPuvZ1n0D/J9GY0/URw+hjCkc32WNEeca0AXyvWq1+Lgdw/nPsR5X8KoB/CeCffxZV8o8A/CvsR5X87byNyRjFJlIXCiMUyOR8Lpb7Iq8O/q3JeDSu08NOSV6s6nGRtTiUWKda1NoOFaCMDQWy10nZtJjsd154XZ5lrQJNQ6M4R7du3cpcIJt3E3eMWD/xeWL4jNbgCb7Z2dlwpyKfs9FHnmDUjSNtn6dE9X0Pq1dPJ09IxwRAGSqy0suSFWa2PbpPwhOQrD9GsSyG+h6VOv/WNa3lsG5m+eNc243Lb3/72+h0OuHU4+LiYlCq2p8YHMK6NYEYn/HGWtsa4yvPM9b3+/0+3n77bQDASy+9FOovuvS6tOAejUZr8vljAMvOM18B8JWyZZYhTxNywq3lW9bt9ihN03C3nLcYvM2/p4FibfU+x96zAuQ44uKtUrtz505GCR7HZpt6YVQ8JB7r1pOD41CMl/K8nB92svCBtcKtUOX3RyGFZLxx1mPr3v/AYT5tNpvY3d0NMdoarupF4nif9eAa6zgOiinnwWAQ0vCqsTAcPsVJpsoScxwACKkX79+/DwBhg4TCx953WJZ6vR6+//3vo16vh4MWurnFv9X1sROft4iLBP5RrS7vHXoktl0W6llfX0er1cLi4iKWlpbCrRu0cqxVc5RFSmhmcnIy4xkpk47TZ50T9bgajUY42UcoRvliHGWkewV5UUCK0xPO8zxGtfSeNsUPZJWPuutpmoZLBQhPAOPHxeeRKgaFY3hf68OHD3H16tWwztM0DcfELV24cCGkQ9BLkMnzeYIbOEi1yiyGsblSGJDwHKOFiiBO2wZGxWxubmJjYyNE6lSr1af/yHsZYmfpSty/fz8cDDh16hTOnj2LDz/8EPfv389kn+M7nmurjMdJm5jYHxI9QWfjYK2QLRLath+W4Y97MRP6YdkW7gH2FwxvoW80GmHzl5CRCq6yceZKuglZq9XwS7/0S5lxsnh+nmWj1rm+R2yQkSV6WziQ3WS1yYiKKG+DmsS2lLm+y25yPQnK80jz+tlqtYIiLCusPcilzLMAwuGwd955B5ubm7h69Wp0E9DuqTAuemlpKYy5KlaS4s8aDru+vo67d+/izJkzmagZG5fNdt65cwcPHz7EhQsXXM8uBs+wvbOzs3jppZewt7eHu3fvhhzn09PTQRZ59MSzA5bZ3ACyk1+v10Nct+YW+KM/+iPU6/Vwo4x1dzzMkeXyHbtTrc/beNKy2LqtT//FSBdSkRCxwlAjBDw8kFjwpUuXQr9tWCDLarfbIY82r2/Kw4ktqeKIYYVF5Si2TeGtOWvYJy5E/Z/lq9Cx8zcOsQ12L4S/sZ+2bE1bavtmhVGRkLcheHl4vZJuBHvPWz5lGXqQheVo2711ZYV2HjSm5ZAXu90urly5gosXL4YYd653GiU20qPb7eLOnTvB0ub/ADJ4NcePucj7/X64OLzRaASYhcI6tsdkL66I8bfuLdmIFiaXWltbC7n52Z+nGirxLNAi0rjdc+fOhePCzGXC6IiyOCoHmvfseZuXKrx1o+Yo7mKtVsP6+nrYPCEdhzWmzEOXT79Ty2F2djYsGpszQf9+7733sLS0hPn5eXQ6nQzeGMMoLWndiiFaoeW94+GNbDfDGKnAdTPKCqO8esoQoQOOl2as4xgr3/Gotd65qFa6V+9xe19UAB7G6wlxNVb4+8rKShBSmtnRtrXIGLF1aPs0milN08zp07w1okbZhQsXwrmFZrMZYA/reVERbWxs4Pr162i1WviJn/gJ/IN/8A9w7tw5vPjii25d2g627cqVKxmPi96fRuPo33oymc9OT09jaWkJFy5cCLnTh8Ph/z+gEnYUgLvhND09HW73UIsqb2dfyQoJS8SNORHjbngps16/fh3r6+sAEBInHRdRqBDvtUdwaYUzpJLjxcsMNLcyE0Jdu3YNtVoNs7OzmYWr5AlDXchcoBZ6ySO2AUAmhJBE5cJ2W3fWm3tduFQ69pi5B6t5fWYIV6w//X4f169fx6lTp4JHoHlQ6DUcZU9mXKJxwzZYIRuLJqpUKuGou+ddjENah86d3ZSjUrSC0oMp9feFhYWQfKzb7eK3fuu3sL29jVdffTWjDFjOK6+8EuZFvYtYH9Ur0Ge63W4GTqJBxH5sbW1hfX09kzSN7WDUF7/XCLDnnnsuOpZPVHBrrpIi0km+desW7t69iytXrmQwWT0CDWQhgxipNZqnYSngHjx4EMq1YVHjWEuVSsW1uj2KxX2TLHZHIczQu42NjfA3GYZCkPHc7D9D62zcLJB1mWPWbKz9/X4fm5ubAb/04oCt0KVC4RwT1uGzlcrBQRaFKexY2b+pQHTTylMonnXK8nq9Hm7fvh2EgQpwLvB+v4+JiYlw0wlw+PaWGM8cFxY+HO5fGcY9nEqlEm6h8ZSt5+p7lm8RlYFAPQ/Kzm+srCLeo4HBy0fSNA3RGxcuXAie2SuvvJI5gOfBqCzP6x+VBIX35cuXM21P0xTf+ta38Lu/+7tYXl7G3/t7fy+jtDwjk3z01ApuS2XcWjLPw4cPMwKTZ/95YIff52lqTlS73XaZw7qFXOQ2KY/F2jxLQb9bXV3F7u5uOJSi7SljjSrUoBCB1gkgwBoU4HyPmCGfUyubZWpdw+EQ169fR61WC8JznI0qjkur1QrHpSm4rVWsG8EUfpqO046lPZHo4ch2QdIjoRDV8wEkxZj1XbaDdfT7fdy+fRu9Xg+XLl0KeyR854tf/GJUiGnOEpL37LhCPAYt6OYu+5c3j17kht1PiQk6S1bR2/e0PD5LQ6zMiVb7PgC89tprYU3RI9f3rUyw7VA+z1MezINiI9o43s1mE6+//nrmpKl6n9b74TNPLcZNi7uspcrnlpaWDrl8RVZvnmVDJuEVWSQrKIhvU1ta97Es1Wo1XLlyxWW+orC14XCIW7duhbYtLCxgfn4+RFSw/ZVKJaSK1JvbrbuqOTw8S4sLnNAO+27vDlSlZcth2WRwzfAGZAWEF72jc62Qj7ZTF4TyAueW1qZuYmooIYVxbBz4PcsiNkmsulKpZPJ5sN1aD8dCNx8fNw6c5eZFi2jGOQojklWcKtCItwLIzJlai4R6dD48yMrmiclb81bRBHcL/QAAIABJREFU6klpbat9hwac4vExZeGNE3B4HGu1WvBYLW+wPEJ1Kkv0N72mzKOj5Ht5qixuj6y7SobnDiwv4BwMBhkMqSwRX+Li9QZRoyg0THAc0kVqT6jZfsbeJ62uruLmzZvY2dnB+vp6gDbUilVBo648FzAtabp4rVYLq6ur0TwlutlTtu9WmS4uLoYk/NZKtmNAJdNut0N2N6t4YvXpAlOYBzic0J7YL+dfx1utboU/KCAY795sNtHv9zOejb6j5RUJ2s+LVNiqJ2nbxWeB/THi5c82VS0VuTWeaDxYA4hzpx6OJbW2lXeVR7QcSxx3vWhY8WstpwzUV61W8dZbb+E73/kOVlZWcOXKlUNwkv49PT2Nra0ttFotDIdDPHjwAOfPnw+K0+vzUZN0PbWC27qu/I5EQfXRRx9hb28vWEEa6RAL47HfqSUSYzjdsCPZQS8TIkeG0eP1rKus50Hhu729jVarhd3dXczPz2dwYy2bSZY8Zm2321hfX8e77+6nlVlZWcm4lGzTz/3cz2F9fR1bW1thE7hse9kWWv3r6+sZy83epanvPXjwIGz26J6FhUw8K9zi9HxPhbD1OFShADhkGTMckkqQfeCN57ZdtMCUz/Q3ry/jGAVFykzHg/AQL2qIrQf2m2Ol35E2Njaws7ODF1544dB+hYUQ+Z0tR7+zSlO9sLJ95Fi3220AyOyJkGxelqJcIoz8mJmZcb1W229gX3Hs7u4e+p2f1cDQfo4jxJ8Kwe0xqt3E8ajVamFychIPHz7E7u4utre3g9CxFpeSLdcmPFJsUwXt1tYWtre3ARxglx4+WVSn3gpu8a2iWG3SpUuXMBgMQlJ4TSDPcnnkG8julvMzN/3m5+fx5S9/GUtLS64ryGebzWa4fdtCVIoFelaJXcS8CUeFth23ZrMZ4Cu67dwgVUWkAhfI5slge9bW1g4JaLaFCt9CNhTYdo41HJX1KlzAfqiioaeivEZrn8oLiF8coXRUzJt4PD0F7xZznXP1JqxQ2dnZwczMTIjioNFD4fb1r38d9+/fx9raWhgTvZRaD8R861vfQq/Xw+XLl9FsNt2slrY/dj9J1yk33NkWa5ABCDfbq+HgRROtra2Fi5XteFqqVPajuDRyiRBmrVYLeVSUXywkpFDWUxsOmCRJVFCUIT1scxSsGchqf2+jSHFSntjkQuQizlMw1j1jXdZCPApNT09jZWXlUPnWivDqYX+Ixy0uLh5SItoH67JaCCGPuEjJ/BqJodawejO2HYPBIITfca/B1qsWnUabsHy1MrX/wP5C5p4AFxvL1z0O3dhl9I4KLCso+v1+2DjXueCpX1qXnvA4TiKvqmGjY2PrZR95gQKAjLB96aWXAuTBMWB/0zTF8vIyNjc3cffuXZw9ezYc4rICkJE3Ozs7gRdYbp5BYxUz20BZsLi4mNl0Vi+AnzUs1AtzZZ+0f56HpGNWq2UvmFDl0+v1Qtgg93us8LYeX4yeGsF9VGGm+RPoro5LOqGDwQB37tzB8vJyKFf/56Imnl5mc0kXhc3nXXaiHoe8spmn2gs1LEsWmojVZV1JLmBafQodeVYPhSJxRADB7eei9fKq6KIFstd4KXzDO//W19dDnXoXYaw/FlagwOahG7XYyTckCtGtra1MrPpxk2LYvMfSepaxei1f6nO6L0TvSXmb4bnb29uYnJzE7u4uPvzww3DZMAVmrVbDF7/4RbzwwgtBqdgoEisEgQOrXWEoKnSbb8WSwlzKU3auY8osj5Q39DwFQ1tv374dvAoNH+X/CuHl0RMV3I8ePcr9PYYl6eC1Wq0QqcCFkyd8igRTu93G9evXce/ePbz22msZq0KPw5fN3WBxPE4osbOjCOzYDngMcvBIT3/yIIi9Ed7ri4V4uLdQhhRWocXLfnjjqIsKQIBpaCmrxeT1W+PR+R5wOMc0Q8VofecJbVqJ7L9amvz/+vXr6Ha7OH36NM6ePRssfQoX8tTs7GwmtNRCODoOj0ssn8LbehTehqH12pTv6Emo96FEZUrrst1uh41wjrUeSmJ9vLuz6FDS7OwsPv744+Axcu9FL632iOOtN9Vbz8qSegExslYzkE0dwfFRb9OOWwxa9OipCwfkQOYNouKK1PoWX/UiNyx5G0L1eh0vvPBCiFohWQbLa18R0VqxGfKsqxwTxEULrgyReShAVblodIp1WZlh8NatW9jd3cXFixeDEvDGU8dfcUgSrTXP24oJL52H2dnZgGlbJWnJ26zm88TTiyhvvMlvOzs72N7eRr/fx/nz5902qRIn6SLO25gfhxQKtOTBJFqPHmqza5RlqjejCnF6ehqXLl0KuH6z2QzXjrFsWtzAvsJbX1/PGET8zUvitb6+juFwiK997WsAgPPnzwcMXTF9bw9Ky9bv2QfvWD/XmvKYyhur5JTo6XFTm/zr5cT35IBHT1RwM/uVYoVFi0+tK8/SsoImVg4nVFPGAgcx4t7NMWyjd2Q4ZvVpXWqxVKvVYP2MS3njc5SyyCwal0vLhfVYF5DuHy0o69p5EToKS9AttgmMrHD1Fp+G9Om7nnAp6rtVjp47bMfZW1jqdr/66quZ3/KugrMCwsYel+3L45JuxtLypSDVnDbe+iN1Oh10u90AgSkUwI25+fl5DAaDAGsyA9/m5ia+/vWvY3l5GZcvXz60WWuJ16etrKyEuyVVAA8GAzfMMc+T8RQrx8a+78kZSzGPWA0P9QLts0/t5uSjR4/CMWjiPo9DtOZiGitmdSjZU5R2M0I/50WA6EanN8F5GvoHQbSW2EaGUNlNMkIoADIKbWVlJfzNcedipNVkLXAuKAAhfaWH8wEImGCn0wm7/+olACh0p8uMAf+39RfNiTf3HDMV1BaW0U3dWHs8gXLcwjvWP8Igm5ubuHHjBq5evVoagrt9+3ZIE7y2thbi46lg0zTF5uZmMA4Gg0FmrM6cOZMRagp52PVCHuBBNjUm1KMbZ9y4JnST3yPPyvZIeaRer4c9AE/Ojes5P1HB/emnn6LdbmeS3zwOlYFHdIOKE+3FAxdtVPDZ2G/6fR52qHX+oElDqryDKTywwUViBZxCFDxRSPIEIMfcxlUT7/dCBrm5E2P4x6GYhRVrP/vgkXWzLURUhvL46PNORMX2q9dL5cs1ExMsVMjcd1hcXESr1cpYpefOnUOn00Gr1QqQlG4oM9mavhNbE8o7zA7JdW9PvxZ58CQV2HnQx7gGl+UpC9HE9quKqJTgTpLkCwC+AeDd0Wj0q0mS/CfYvyD4zz575B+NRqP/JUmSXwDwy9i/c/IXR6PRNwvKRZqm4RYWz0XkgHpa32JExF/1Od3oYLIdDY5n9AhJLSNPq+rfNomV4lMMX9NkTkXMoAolj6zG90IhtfzYLr16DvYZxUaZnIcuMPvJxQochNdpmCQtKx2fRqMRTrnSUmKcNq0s1tvpdPCbv/mbWFtbC8eG7V2VNoTT679H+rvdxbfz7vGfnWs1GPg/cdsXX3yxcDO6THtj76rALeqvCgv2zVKlsh8S+fLLL4fydR9J6eOPP8atW7cA7EOfKysrmYRmaZqGtcAUqyzfboQzZhzIRl9ZgWdD+qzQLeNZ542TGhRpehD6u7CwkLm/MgblqkHEsvg8gym40a43J9l1mUeFgjtJkjcB/GMAX8DBre2rAP7b0Wj0a/LcIoBfA3AewByAP06S5HrRhcHz8/OYmpoKzOdtGtjPed/xe28QhsMhdnd3wzVaXv6BMlCIkrcRQcvjo48+ArB/WMfinLENoSKyC8+WdVTy2qB5KlRAq1sKZIWCCifNwEfm1UgcPsey7Wm+ZrOJ1157DRsbG/jd3/3d8N1xeidqqSlsY91cfd6S9pchYAop8YYhHQuvDU8T6UGhPP7sdrv48MMP8cILL2Bvbw/Ly8uZjJeaJAxAgES1fJJ6ul4st0dWWXIugeJTkR5Z65yXM5w8eRIAMsLbI12Ldl2222189NFHmJuby8gejY9XXnusJFOj0eirAL6aJMkN+XoVQDVJkp8F8K8B/DyAvwrg/dFo1AHQSZLkLoDLAH4/p+zMabwY0SW3VoVndcZwKQqhkydPYjAYYGFh4ZB7flxEK6PX64Xj+BRalcrB0WOL8R6lLceNfZKogACEQxjcXEzT9NCx+NnZWSwsLASrqtfr4caNG9jc3MS1a9cyeTzUamYOZS/HTK1Ww9WrV7G7u4t79+6h2+1meKUo6qaof8TQgX2l4VmlnLe8ueF7GlapeDxPysZ4k1aah+eWMR480gsfxsVP+az224OM0jQNex1cf4RBFCb0FKLtK3Pn6GEtOw9llRufZcii1zevLB1r8jqATFpewlZeBFWMdI/o4sWL4R1FFNheVVaffvpptMyjYtzrAL4D4H8D8E0A/xWAPwfwQJ55gH0rPUonTpw4tHljByGGQdvnaQnyebXs1H3xrOwYHVWok+mWl5cPHS1O0zTkV+HJT22Pt8iUyWPjZMl7dpzFy5N93HvQE3RUTPys5erpyDRNcfr06Uw+FnVx6WFpBIEyND2X5eVlvP766xnBl3dwyEJsKhz4Xq1WQ6vVCkrVC8VU4RvbUFJYhPVy/m1ulTwP0UtFexSlTAHA6A6WH6MyB3Fs+XyWxodmivTwfY4vDaXYHZ2cM0aZeb95Hq7ygsW8Y+RBoArNAPu8zDMiAEKqANYbg0q8v3WfgvKJ3oge1gIOPIVjTeuaJMlzAP57AP/3aDQaJUnybQB/A8BbAE7KoyeRFeR8/00AbwLICAJdtDoR3mLVxc3Od7vdcCpJN8GYI0JvidebMGzZMXjGYlexhagQjSas12cnJydx//79kOeBzxzVurL4rF2AZIqyFgvbQi+AN6gzSoDkQUo6LteuXQvfAQdWYKVykH7Ty6XC8ep0Otja2grWPt/VOlQpac5ubSPdUbt/QEufHhDL030S5uugQFY80mKwbEOr1cLt27cxPz+PF198MViQMVIMVPtUFvNU6zZN9w+jMPyOwkb7bfnDGgZWgOl71mKm8CbFhLJ6lNZitWvfWwtW4LOtKuxYjhoKfLZICer6txucZaNqVEjrd7ruFDYEDsbLnoUoWquPY3H/DQD/O4CfAPAn2Le+fz1JkgaAWQBncICJByL0AgCLi4sjDhQ3FtM0Dcxm8W4bpaEZ++7evYuHDx+GpEnAgTCgECcpM4+LLeqizbNo9Dt7U86FCxcA7OP7R4kWsHCR1qeWu7aXGeHyNvOUoer1Os6dOxc2F+1pQkYaaH9VQFi8kvNKQbm5uYlGoxEgFLvI+DcP5wD5OVi0/eyzWoXqgRFrpjcxOzsbIh5UcLP9hD70JJwljcq5efMmPvroIywvL+PFF18MdectfIUbtG4PqihjiSsMV5aOshaArEK2bdTvYkJdz1RosjTrjdv1ausrin45iufpleG1wfItkLXKbcSKHR/1Sj6XJFOj0ejTJEm+BOA3kiQ5AeBPAfw3o9Ho3yRJ8o8A/CvsR5X87aKNSXaERMb1cKkYU9F6q9frmJycDItEhbb+0ygTRkbE2sP3H4esB8E61tbWjhQmFhNceUQF98EHH2Ti5WOWnB6Ht3XFrEBrAXtt5by0223cunULp0+fDu1Ri7pa3c/vce7cuSBkFfPUBaH1bW5uYnFxMRNCmKb7O/lMbavCG0DGStNNWPJJmSgf7S8t9H6/j6mpqUM5PPLeZb1W6ducHHk0PT0dTv3qZmjsbINHVsl41nq73cbm5maokwrKO8LtCcw8L8L20Rpsqlw9b2FcBVRE6rGq1836rWWu7dL2ax/s39ajBPah5BiVFtyj0WhNPn8LwLecZ74C4Ctly7SkrncZRqeAUS2l2CiD3gEcOhAC5GN6GpfrCYtxBLoyEz0Lbop57Soi5nxgRj8Lg9h+WUuSt1jb/qq1TuFpXXiP8RS75neeYCdcce7cuYBjKmZohQUvK+DffM4T2iTihcPhEFtbW0GpT09PZ7Dqra0tANmLAKhAyDPVajXAOepdefVq29fW1nDp0qVQRll+UY9Cx0/TEhRFStiYfK/NR7Ws1dMlcX6mp6cPHXw5KvTnbUgetawiKpobjVH35JJdexohAhx4jN4ehpbhWe5P7clJbRgXjidAqOks1mShFI0rputJl9i6bDEcD8gmDPLygnNgWX4eU1H4s14yQgyqYf/VxVJrqdfrodPpoNfrYWNj49AVYh7RkpyYmDgUrmf7zb5YK9G6wpZsezU+VcefwphHn9UziikftW7UjbYKyjtabiEbjh/rYp5xjf5gewip6fzG3H2On/aR5EEW3kaoWnTK71b4Kx7MZ2PC2EJa9jnPw/T4z/IC53RrawsXLlw4JNxjkEKM7Nq277Mt9hlLHp5sDS++Tx7l/PC8AveePA9BrXquFyp2u550Xm1ZGgVn96i4Jvb29qLj9cQvUtBcxUDc3fA0r8VrPZdELfMispZcjPG4ETKOG60Uc4s9ikVPsF8qmPQdHQviyHxPF77F3uzhAdvmMkTltLGxgW63i5WVlYx3oO2sVA42FTWpkK1PlXiapiEroZZpPTYKFI7R7OxsqEuxxk6ng5s3b4Zj/0zozyP9eYJCx1RxdKtUYpa6zl9sjGnUUJnkWczjCkx9xr7HtnllVCoVLC4uYnFx0YVvjgoxpmkaYJhLly4dwvoteb/r3MaMKoWf2NebN29ie3sbX/ziF0O0l6eoVRbRo1Ol4vXdbuDzeWt8FvEa6YkK7hMnThzCHMu6RCpoPOHWaDTQbrcxPz8/Fu6lSX4Uc/LCxY5KduOoDCxkcX8yjaeUbHkKKdlcDqSjbNzkuZkUyAz7i7XRbmjS6lRogETrkeX2+30sLCxkNrfSNHtaU9tII0GtIyrhqampcAMQT/+pNVYkLNmn2HOPg7tWKpXcRFV8pkxd40J8eURF5R2mOQpxbq9fv44PPvgAi4uL4aRt0Sa+Z7zY73Rva2trK5xs1tO7Gt2UB6WqMrWJwaxnZMdRlXUsEyHwFN+A8+mnn2YWodXc1j0rKywpNMhYnjvokRclwc+qJW1YVFG7bIiPdaGsAIxZZhTgdiF7GzRsp5ZrheHjLLQ8nJn9vXz5Mvr9fqatXqhinvvuCcXBYBAwaovnWiK+TaFPpW6T57/00kuZBeRFc8TGQPnBW+x5v9t5995XIVRmg9HCKEVUxAfaT11PGi11VAub5aq3xEul1QvLexcof0pSx0U9JAB47bXXwu05+qznmepvPMhFBaM5WPL2Qzy4rOwm8lOBcXvZvOzJL480NjsvIJ4CKyZgvQWji5ia1W486HNlSZPPqztqmV/bbH9TfJwnzoADi5rk9Tc2RlaQWQunrJBXjJxhmfquzhnrse4h+6Zjo+VrpkA+r2XwHS4CvWUHyF4eDBzknbZWU55C1vcVTvD2Q4CscOICt4fEvPf5roXF8p7nOx5ZDJhzb29mUo9ILcpY5j0LbxUZSzY6Q2O8eR2h4sgxnF7bGoN0dNzI10ypTOOG61yNqpgi1ffUIOBaVP7q9/tYWloKMFysDwqX8d1jiSr5PChJEiwsLGTCljwBwYtigQMLSnFmJbu5V4bUwuLfLEs1OmGGx8lSZzW2JQvV6HtWgLOvtVoN7733XmgXo0byLNkYFnccNBweHAvW/mi0j0aL6MKzfbeb0sxzoXHlukgoiDqdDjY2NsLmos1ISKFFWEYpNj+MVCEP0JOwwtRCP3xGT8qNM/ZWeZHKeHuWrHHAcnS+Yu9Y5TYOlbHKbSihPm8FPH/neObtF2mEGD9TWdmNQZ0za1nbtqjHrOuah9VqtRpu3LiBGzdu4Nq1a4cuytC6uJapqCqVytMLlbCx1HTq2nNA2EHu+HMzxHNT1XrhQFq4IGYxexNDYv0UDDzMchzkMRz7XBYe6na72NraCjmuvXA/SxZ/86J2yrptltgn4ob9fj+TjD/PJfTcSDs+5BldOPyef29tbeH27ds4ffp05hg0x1Y9DBX+LIfP2s1yxd9ttj+1Gvm8tp+8o2ly7SnCItIF742RFXBFc8hyNA+2JcIBti/jUkx427VvSWEKa6m2Wq0wnouLiyEVcLPZDBcG27TEFiJhvzwYyJLyGMtU4c9cPIPBANvb2yGNrb1GT8vz+jscDo/3yPtxEvNheJqNE8m/6/U6dnZ2Di1WPhuzJmNRJzGyglQXO//mArS3r3jMHBOIMWL5mlJyfn4+9x2G19FryQsPs3WRLDN7zF1EKvAqlYqbYIlKUDPE2TJsaJWdD7twvIiC+fl5DIfDkPzKLnJGjXCh9Xq9cFLUjo3tn+cRAeWOK6dpGmL5qXyOutH9OBvkhP30wBH/1/G0ymFcRW6Ftec1avmxMpiWwEb6cP5otLRarRDWp6miW61WSHdBJaSJ0th/8oIe+lKykCWJcBzz3wD74XyXL18OJ6U9uCcmE9I0/VySTB0LpWkabsxgukTdZWVneIsGJ47uhGUyHVQrSK3FEMMi2S79XgUSo1Xs5pW1XvmbZXZtswpH62nYxa/hcJrXgN/Tyvbez8P+Ys/Y+zDtZxWc+r0m+KGC43M81UeFrHNt+6qwBvv6wQcfhKvllLyNOGYd1D4yURbfp5v97W9/G+12G1/60pfCDeTeRjRwkDNaNww9qMf+Tc8jTdNDCbss3mvH3FqZXrtilCdoB4PBIdjG8q7Xnlj7tG06xsz1otCMZ/EqqUfY7/czGLHCbEtLS+j1etjZ2Qm8QXmi/SRZvJ4HrHj3ab+/f59qpVLBK6+8kmmfbbdVcKxHw2/t/a06VlwHat1zTadpmnuZ+hPHuLmwFfe0ZIF7IM6QHk76OGQFiN7yMq714eFlMWKdx33ry+dNFNYxD4TPAOPHhvN4fBlPwM4bkD1JqLS7uxvK9DLTKdGrsYaA1mvJWukKFZXhBVWWeeN6FMqDKI6DVOiOmzuF5Al6knpu9Xo9KN7YHFoYNU0Pwhk5p7u7u5iamjpSW+kxan1laRwP6okK7i984Qthk2dxcTHkM/aobISE/qaan2Rx47zTTvoOrWM9Ds2bP+r1OtbW1vI7K2Wpxud3JHsEW3+LWai23+OQWgCxwx15C0efGQ6H4aYTYD+ZFq+koos7Lm6uwjcvAZFuWnkUsx7r9TpeeumlAH1xv0XL12PdjEApUyetTM0+qJ6JemNlko3x+RhOGyPPs2KIJPceFPO3MCVx/XF4i89++OGHuHfvHtbW1jInLG2/YmPINtCKpYGnlil/Z1w/69f9DBsCu7KyEjaabWbKubm5cPnFOEnguGbVi/K8JYUTtZ+6t1VET1RwT05OZk5eFS1oDwcqel5zYVhm97BgQhEepMKFTaiEx86/9KUvHRIgMVKXMTZB9ph1u93Gu+++i7Nnz2JhYaFwY7SsJWeJYWoxrJ7kLTRitYSy6vU6FhYWgvDjmHrJgYpImVk9LkZ5UADlLTIriFQZNZvNDC8w+sOGotIdZrrZ4XCIy5cv59a5ubkZMFd6DHrwY1xFq4K1jPVtla5CEBpvTLK8qWMV23fw/ua4tVot3Lt3rzAiJbYXxayN5CkqLx0/FXj8X/tBD2lhYSGki7hx4wZu374dbpmncKch+Th7PCQLIelz9pAYqd1u4+bNm4We9hPHuKkhrdbzKC8OG8ChxR3DT1W7kSHts7rRp3XoCc+VlRUsLS2VvkmHddJq1EgLq41tWyYnJzO5PWLl2356FBPMjB7wYrhVeNq/gYOxVldVhTbDrzTm3mJ8Oo8eU9s52trawo0bN9BqtfDaa6+FTSCvv2yHkgpzJqTSfC3Epfks39cTobFLFlgv90QABOyV7+vY6DxYKrJGxyWOqRoInBPi/rQcyY8cC83/4bXZtvWnf/qn0W63M1fOqeKPeXM6/3fv3sW9e/cy156pd86yPMyexA1NztW3v/1t3L17N5x90DlQOK7Iq9d+x3B7VSgMTQWy+0EkGoN6ItijJyq4n3vuOff7PGzUbo55FLMGyHg64XRl79y5g/Pnz2d2mm09alUCh4+u24G2CkIFGd1PDWtjHTrJpJWVlYDzeos7Fv/tjYlaIV7YmLW6+bkszGGjbWgda851lsvQKZvvWxUlhQcteP4+PT2NqakpvPzyy8GV1jZWKvuRLb/927+Nqakp/PzP//yhtmqfNWTLxuqqwFJIxRoJHsSmR6NbrdahMwt6A4p1n+0c2O+9v5VivKB16XykaRouYfCMCFVg3jrjP76nmRktT2sZXj38f3l5GTMzM+FCjbKet10Pun55SpJJnmJx4J7hwHGJYfYeTGJ/Zx944pKnNZeWljAYDHDp0iX8nb/zd9z3gScsuPPiFIHDHaeLpBNiTxFaBqfQ4N+0KPjdYDDA7u5u5kAF6/LIYlNqPXjRAYwE0ffJfGyzbr6q5mfZen2SR2XdZn0e8E8tFr1TRNoXLVMPnjQajZDLmXNWqVQyglktQGLE1Wo1o1hrtRpeffXVXFywWq3iwoULh8bPLn7Nt6FeAMdW4TOFqvLwWZar921qxkkV6LypiWGdSmUhBm0T4IefeaQRNJubm2HNqBKjkRLjQzsOFmogv/P/svyk2DSVgBeyWVSmWra0vDXCSNuZZ5xYbyFWv/VKVVlyXC2MRoNpZWUFg8Hg6T05+bjEwSkrsBTHVHd4bm4OJ0+eLMVMnsWgk23b4i0sGw5o00/aPloqy/S2HPuetSrzInUoXHq9Xrjyq0ydwAE2rPCCKqi8TVdaSHZzSRUD3/Us0Wq1GuKzbVimJbUkNXokZllqe/SzVVgqqD33mn1k/HDMIj4KKdxR5jn2jcqLG4GEA73QyzxYS+u3PFaWj613c5TxsOtr3INPrNfCH/Z3rc96GKpQaYS8//77mJubC+35oQgHtGTdZC+m1KZZ5IUE+n6MbEpPWhB69NVid3nx3kchj/GVyiwy7x0dlxj+bMluFHpMRqu33+9jc3MzeCce49sNIfbTy4PBxUghbrMEajnEx72Ot1zEAAAgAElEQVQkZPpsbNwIw7CPdi/AozKwnF1olm8BhJN85DUdM+LbhH2KrPcfBPFgko5XHhxEymu395vm4vFgB6uU8w5G6TuxdrBPeZ5pEa5dFEVEisXj2/fq9TqWl5dD5BXrKKNQnngcN3DYzaKw4Gf+8zZx9DerzTkBtHR6vR5u3bqFer2OpaWlzCaZakePaWNkJzmGKdr+eXWpJV6mTk8AWQFo2xOzwPS2IHoB/DwYDDKXBaulSGtcFUe32w0HbTqdTniu3W4HSIRtplWn9encEr6yuKomXSKz26gHixvzM9tPpeLhy7Ysb/+A73kLXb9jf7XtQNbqs0rJwhXjkKeIWab+b4WK5l4pC7PwXa+dyhM2gRMVGi+ysJAn2xGzaj0vyIMn9DcL45EHWKZGqXj9iRmW+lue8lVcmzywtLQU+L/VaoUwxKJ5LyW4kyT5VQB/87M/fxX790p+E8AXAHwHwN8djUaPkiT5BQC/jP07J39xNBp9s0z5JB1Qxaw9QWYxK5InbHUyn3/+eUxOTobv+T5dQ4tHa/njYHN5fSzzXVEZ2k4K1jRNceHChcyptRjmrNZFpVI5dNUb36HFS/yZlqNNo0kBzcgMuv3AQRwwhbadL9ZlvRH7t+d6cvEDB8LPClf9bIW8hv7pexwPD6bR+i1EZkNMvVzVyue02pXHxvW4YuSV4/XB479xFYa1xskDalDYjXyOeWx98z2vHkt8rtPpZPjHKkuWrQLaU0w6jzHFxDqK2qZ8zDm3GUe5fhnVlRc9BpQQ3EmSXAHwnwH4DwD8+wA+AHAHwG8A+E0ANwF8OUmSPwTwawDOA5gD8MdJklwvc2EwiYPJhW6Z3Q6SWss6QLGym81muOlcyW5GKTEManNzMySueVyKTbC1GMYtI4a/qZBWhrR1aQ5zHSPuuushDb5L60kFNa1we4LN2wwq6isFfh7co8m/ysyP9dbYd/KYnvazB6vUErd9sUJb48BtTHgeqRfxeZCHRX9eREHkWfcMxbNKU9vJ34uIY7u5uRmSmunRcy3TCmrOjQYOcC8GwCGIS8sCxlNyGjPe7Xaxvr6eiVGnvCm6OKOMxV0D8N+NRqO/TJKkD2AawAqAtz678f0tAFcBVAC8PxqNOgA6SZLcBXAZwO/nFW4hBBurTDyUn+1geS6KZUxdPOoGak5om9iI5VBov/vuu+j3+4cEg2fdj0NFmLel2EJTi5jMGTtEQE2vf6ulZKNiKMzokajgV8uRAl8tVS6KmDBSIaoHgOy8qVLne7So1LJXhZI3fhYu0d+4iDQJlArlWPQS+8Gy7GEWfc4KMo93LXlRS0Vkn1Vlrb+Ny7dFpN6aPVCmRphG1pAo1IADy91uUFriWmUisQcPHoTbr7y2Adm0zR48xOvxYvCJKhQ1JC15a5vGwfr6OoD98w+zs7MBHqxWq9FwaaCE4B6NRm8DQJIkCwC+DuAPAPwkgAefPfIA+5DJj8l3+n2GkiR5E8CbADA3N+e6WA8ePECv18O9e/ewuroaOj8c7p+UazabYWHHFgLJs2KVSRVP09/JeFzAL7zwAk6dOpVrAcSYP29R2LZ5eKr+zo0+zdsLHFY+FNyEE4BsOGWRpRXDC7WNZGgbG58XNkay+CDHf3p6OsQ604r3ckRbIVhW+OkBE1V0QHZ/gIej+I6OC+PRifnnZYm0sI22WzHTIsFprXlvPOzzMfIwWvv7uJa4BzHmhTVaHue4qPJk/mw+72HUlpgRkMJPhbTWp+2znjt/o5xh+/IgWC1b+6bPqIEDHBzkarVamJqaCjzHfj52WtckSf46gP8R+4L7lwD8GwAnAfzZZ/8/APDnn33+/7h7/9i4suw88KtuVjFScZHSRCTRpJApxSGJIbUwhTVHsdh/SHC0DbQmWbWBtjfT4+w0sO75YxDEY8CLxHGQBAgmu0mcZOMdLDLYxA6yHq+ng0lnd8ZAt3Y97aDVcDcHOxysqLFUA6gmZrFXLMIsJCzKrMdW7R/V3+X3Tp373itSPVL2AESxXr133/1x7rnnfOfcc0m8nqJ+v/9VAF8FgIWFhb7VZjhgOzs7eO6550KHaserxuwJZNvBdgKqMNLwNKtp9nqDrdQa8xkz62J1KKLJ2IHOo263G/Is2ExojJyhUFJzjLuxivSZku0X4ChahIzI/uOndSZyHGN4Isttt9v49re/jZ2dHczNzaVyi9uJ7+G1tlwlxl8rH9iIk5gC4OWj1oVQsWwvpYF1DOr/KuDswhuDvLSOWWPnzYVYOY+LVAh7EJGn9duQUMoB3p8HmfE3ZoT0UrJ6PhNbhtZxlHM+Y9e9//lZrVZx+fLlsCMUQJA35fIJD1IolUoXAXwNwM/2+/1vfXTtXQB/oVQq/XMAfxHAPwfw7wB8uVQqTQKYAnAOwDt55WujCJFonLAKgSQZHKTAHN6NRgNnz57FmTNnUuE+MeJk11Xu/PnzQ/fZkEBrEuW14+OmJBnsbtvd3UWSJKmcIIyz1s0ezH734MGDFM5cpK5ZuLtqFFmOprzygfQE3tnZQbPZxOrqalhYuYiSPJw6NlFJuguTQlEzw3lt9OAECnsunKNAF1mLjYWguEC/9957uHDhQipFqH3W1kEVIg1XVC0/a6yOo3Xb92sb8xQS710qvPOI9fUsPQtr2Wt8fyySpGgd8vqL5ZPXTp8+jaWlpVT6YesPiFERjfvnADwL4FdLpdKvfnTtCwC+gkGEyVsA/sVHUSW/gkHEySMAP5fnmCyVSkNe51arFTLMMaRMV+x2u43V1VW8//77obE8OFY1zxgRB3v//fdRqVSws7OD5eXl6P002QFfiy4q/CxGNopGbrU9ToSHDx8GwcZE7qwvhdLS0hImJyfDYmXbolqRxflibVFS7UWtkVg5NuaZz/L+Wq2G1dVVrKysBFhDd45a52pWbK0HmVmnayzqA4hjyWwnc8jb8o8LM9hw1na7jY2NDfze7/0ednZ28PLLLwcLh4KKcCEFT0xIxrRAe28RgW2tZDvm1v8Ua7OOu/detknfNyoWn2WxeG3X/4tmBvT6K8uStZaW3bXL/08ElfT7/V8E8IvOTxece7+CgUAvRKVSCdVqFWtra7h8+XLAfHSzheJPnGitViuYFCTFjjwci0QP7ic/+UkcHh4GM8Vq2cBgQXjw4AEmJiZQr9dRqVRSjlOFCfheW45qlKxXu90OwojM69XfCvxOp4M33ngDm5ubePXVV7G8vDykOdVqtVA+n2FCnv39fezu7qasE7vxyHOgZWnbNtTJCj3bFgDhVByOjzVJ5+bmQkY4OkV1TNTPwHao4MqDgvT/drudErZWKMYcvDrBtD55WHOWVeA5v+bm5vDKK68E/mMZ7Pt6vY6NjY2hd+jYxJyQMdjKK4v3q5WVJElQsnq9Hubn50NKAuvD0E8qG3ax17Hi85pSV2lUAW6fy4In7QJs2xwrM08ZU4jX5gki4qDvyqInugHn8PAQwMCjSoFoBa09xFQFOZCOLsgym0kU9oxeYPA/KaYpxmCYItqVzXWsCZVGidmlFsb8F8xPzf4hs/GoM4vbT05OhrwfulNPGY2TiotkXpsp3EZpB0nNeCtYmYLTQjU6Dlz8NHoFKJ50SRdFvoMbQ5g7mk7g2GT0ftcJ7CkEeaQYMU/y0TJZz06ng3v37mUusLZclmHvtzxg28K2WuWEC5s9xdwShRXLZ99S8bB1qdfrIf2tjYDKIstLuqhmtTFP6Fr5UqQusfrx2V6vF+azhs5yQXtqDwsmaQ4HFRaW8SmkPMxKKQuTVS1KV/y8Ffw4ZhpJdyRSWBHnykt+ZOny5csA0nlOOKEsFq+RGsRkeY8XokWtPK+tSZIEP0ORnCVA2vq4c+cOlpeXsb29HWV+1p/14Xed5N428pMQFQAueLGQSftM3j2jkJaRZelo2Kftg6J4cpbWackuYkx7ACAoIzFowTpmdcHW+H+lVqsV9k5onW0bYu/iPXSg23ay7/j+PEfk4ybWw0a/MM7bpvaw9MSzA7bb7SFti3itepqths3/VUh7sbSe0wZAyqnkYYwkhiyqhqBktVIbC8rkTFofTQdL/Fmfz8LFVldXg8al/WJJNVWFJTxhq+aZ9qUnQIg73717FxMTE0MJp7x4WKVOp4Nbt27h61//On7mZ37G3SSh96pjslKppKJA+D77f5YmFIvbZZ9yMeh2u2E3qA33s2XZeujvJ11UOKk1bDUWunrSRcPzc+jcIB/bjVU8NMMm0dI2eJQFCfz6r/86PvjgA/z8z/98qn1FrAr6sTY3N7GwsIDTp09ja2sr7MEgb7darRBtRZmjZPc06LNq9WW1NdZ2q+Xv7++HlBCExYhIePTEBbcVVPq/MoJGl5DITAcHBzg8PAwRE4p7ehCHvUYhZ7Un3QwCHO2uY33UMUSydWQOAsXtqaGo5kSnomVQD3uOYWox/M3ihbzP05CKmH/dbhdnzpzB7u5ugG+8hZVkF8SlpSUsLS1hZmYmFStrSSNKCP2oZRETVNo/7M/YYqIRA9q/3BwxNjaGS5cupQRVzKHGcu2hIDFIIouscLa8qZuOvHlhy/DKVcoad/6mWqnu9vPyrNjvSZIETVKVF++9SZJgYmICy8vLAbqiQCti4XW7Xdy8eRO1Wg1nzpxJRQGxfADY3NzEw4cPU9FKag14EKpagewbhemKwGE6XzXNxhtvvIGxsTG88MILmJubO9kGnI+TPvzww5RJYGEQD/u0ps7GxgZarRb+5J/8k7h06VLY0s7Jo7uuVFDZyU2yO7g4kJ4m7JnpVkBw0u3uHoW0a6QKtfiNjQ3s7++HvLxKduJb5hhVq/MwTJqVeqamt+hx4tAJSviJZViYxQqVWq2Gl19+OZXC1GsHzfGtrS1sbW2lHK7WksrSNnUiqtWkia1sXXmPlunxjpI3YbMgj5NgpbZ/syxGj7z3qWLgLVK6h4EQw9bWFra3tzE1NeU6JbPqbS0HG3J3/fr1sLuQm50YNpfXX1NTU7h8+XKINiNxzrGtCwsLQYnyyFvsuZAkSRKi3rKUFltXK0eUR2ZnZ3Hq1KkgzLP68qnRuC3cAeQLpG63i729vZCWldEHmnmMkRckWz4nMRkypknzfezQ3d1dnD9/Pvf8R+BIU2HymPv372N8fDwFs9BpWC6XU2kegeN70I9D6mSyMBD7htYPIYU7d+6EfM3WWohpfzH4gVStVjE/Pw9gcG5hkqS3IBehmNDu9XqpRcCSPTTAi58exbHsHQf3uEgPojguxfBja2na91CgJkmSCXl578gizj/yF5WvogcqA8CnP/3p1AKsizv518tblEdM6AacfF6q5dTtdkOCOIY1n3jn5MdF/X5/SKiOwoSVSgWXLl0KKymFKAeGZen2WU+j1z87GApH0IRuNpv47ne/i7m5OXzhC19IMUZsMHXyr62toVqtYnFxMUwK4oY8o1AxeK3DcaI3ihKhJ/aFCjj+7jlN7JZwOnuIUeuRU6PUn5N3amoqTEJ15BR53v7PttlybAy01ej5GcMw89r1cQpv8l1W+TaCBsgWplR+FKZSKpePfFH2kAWPVEB5pHVR+KBer4eoGu5wttYK20/+pHM5Np5K2id27troGd5HHlLoMatdKtOs/GGf0OKmNQMMEIkYPVHB/ejRo9REUu2IZJnLmoXESdWRqdgbTTzgaDu4Jc8JEaPZ2VnU63VcuXIlCLdKpTKEf1tiG5MkCTl46ZA4e/ZscPCodsNyPMFIonZSlGzddNHhMW4PHjwIApPvsKSYZZIkuHv3Lmq1Gqanp8NWe8VfLT6v/aJtse8ABosecUpPm89rP3lBJ7idSN4imQXB6DO2vjE4K+aDyKOivMmyYpi3fvfqw+vUctfX10PGRT3Tk2GoAELoqRczHqufd5839hoBllc2IZUkGewkZh8waZ0Kc28BtnLFwoR8xu6W5bzRcqxVolq/8pdaqQpB8l1PLcZdqVRCYhWN2FBnRozsYKrpztUwto05qxyPdEGwziAb1cD32twLpJmZGczMzGBrawvNZhO1Wg0TExOpQbUMo0LPi6WNtcu+P6atsg9qtRpeeuklbG1tYXl5OWg5QHxjxuTkZAjtU4cTQzeLhgt6pKYkkE6Naq0nj+yiYSdjEaHpYZR5wslzIltN0T7jvWtUOilkYqlWq+Hg4CDFy71eL0TbABjyU3iL3XGsRE9DtWXrPGD0ltd+3exznDqQOPeXlpYCL+bxkCoLtg3aL8wjxACLXq/39ArusbGxlKnDBnoRJMCR1qLakMYwk4msg40aFp2CsciHLFOencmVm4PGBUe1Yk3Or5NStWNOZpqcsax9qsVpaKHCQh4pXq9tjE1sZSieJM92qHbBftL7Z2ZmUhgkfQ6xDTxFycIrjwsmUiHKPlfhRB7jQm2piPAmUdvn/xYy8bTzUfvMg39iAsUKWb1X21Sr1bC4uJjCrrMWBtXWSZ7zsUjb8oShp5BMTU2lFDX9JAypgv44C4y1dkdph50znuVp+/qpPixYBZvFMLMmh5pmislSU9fFQGNgvVXUm4ieELdRDxTaxHLpVOB7Ffawmjqdb61Wa2gzjG6CsRpikiThDENPe2Sc9fb2NpaXl6NxuXYC20ms/garWXjagwojPWT2uMJWITOLExYlK4zJBzoO5JV2ux38EEWSCinPeBCfbQuFRt7GiqJktXrFRmObkjw4ItanNmmYFTh8NmuceU2PhwOOlJgspaMIKZxI5YHzjNcVNrU5f2w9gXh6AD6jzmD+Fa1vu93GzMzM0GJNhUoVQgBPr+Cm15SDODU1FY6r9zCmmPAg0Ty3pBOM5RLO0HcpYync4mGEwNFkYSy51lE1fwAhfpVMxHtnZ2eHBCGdchqQz9/p9FOrg/VgRMjt27fxwQcfhK3xOrGazSY2NjZw5cqV1KYD1VZ4P8uvVqtDuRV0XLK0MEtZwlfH1+ZJLwJx5GmZnU4H8/PzrvbnQTpZprAuaKrdqWBTXJXlee23fJelsMQWQsYuN5tNfPGLX0xZn3mwWkyQ8Tk9xYa8Zy1jjTiy5dBpaDVW7TvlZ69OShYv1v9tmgdVcGyZReSL927v/tgzyiP37t0bSmqm/oFRlJwnrnHTTG2327h37140zE47TDUnMjq1K0+D1gEq4siypGaOhUi0DswWR02bi4M1u+1hDMTGWT41Zm5yAI62za+treGdd97B1atXcf369VS99/b2AAygjomJiSH8vdfrYWNjA9/61rdCTCz7TQ8OUIHFa/fu3cPW1lZwFHqZ9U4Ci+Q9H4ORsp5RjYh9ScebTQ+gO1jtb/o+XouZvPp81qKWRVnaqC7C5D+mf+W1UaKzvPusILG+JkYfMQQ3lmCL5aui4QlRq4QUJRslY+ug5Xnac5GybR0tnAYMb8iKyZjV1dVC7eOYPtU7J4GjidBut7G3tze0+ipVKhW8++67WF9fx5UrV8KGFZpHRVctHQSFW4oQB021Dg6YMrKNBqnVamg2m+GUDmoxjA2lc4/l62qsZj/fqaGEAHDhwgWXwdSRdP36dayuroYQpM3NTZw/fz7ggDEtOUkGkSOsB4VgbPfbcYh119wuRSMqWE/9n+Nq/Q9W06PVpLlPYlEw+gwXA8XMPa1Z+9TrK+9aEeFdLpexvb0drKVr165hdXU19bu32J0EvlL4hFYy6xuLCoplWNR7RhXaPwoala9j1pLCmEXIwqoePXHBTUYgvkhhFAvRa7VaeOuttwKu/Au/8AtBkKmDkUyk8dx2AmWFB8XIMheFFweFZiUXEloDqt12Op1wvhzbRIycMIqG1DWbzeCYrdfrOHXqFGZmZkJokoVfYoseJy3vb7fbmJiYwP3790MUic3CyDGp1WpYWFgI2jZhKfZhbNEcFZvWfjrOxFFSp7SSHtKRJ1RjdWw2m2g0GlhcXMT8/HxKk4z5FUZ9h/adZ0Fub28HbH5mZiY4rjW++HEsqhwTjRLiYR1AHFKyi5ku8nq/BzkUqXcMm35cTmylImMYi9ryhHDeItXr9Z7u7IA6uDYKIWamfvrTn8b29jY+/elPB41HYRIShZ1et/ABhZwmbaIjI0t46H2nT5/G5ORkiMIg3MH7qtUqtre3AQC7u7sBs1bIRc15MrjuBE2SJGRgO3PmTAojU83G9pdtu97PnVoUNnrSuXW41ev1EC/PHN9KCiHpgmiv2frZPrXjrmQnu6dhe3Vi2z3t01o1VuBaQaPWoedTUae554fRe7zfvDwsuiDzN8KLanV1u92UQsA+8Mz+LLL7BLTNrM/8/HzgHatJZmHFyut0pGuah1jdbGhnbKxZtr0nS6mxY6C8q3MUSJ9Qo3XJsqQsDKTOSA8ioiL41O6cLJVKqQorlsaQMgBDjeLmFxU6nITKKOqEsjiYCmXmRGD5Gi+ctbqynorjsb7Uqtku/q9JlWy2QQtz8D1JkmBvbw/1ej0FH2RNQC1DnURqnVDrthOezKqH6tq2q9PLwxEprNX3kNWftnwNOzwuxXBKpZjGnWXanz59GisrK1heXk71z+OCjOxioZaSkh4C0Wg0guXqZbEkjaKNqoCihasQX6y+wDBvq+Ck1amx18zcp+Udh7IgF+3DorHdxPO5iUctDWvJe3PX+otUTincpT6jImNU9LDgvw3gv/7o698GkGBwzuT/+9G1X+n3+/+6VCp9EcBfx+Dosl/o9/vfyCqXuUqAYqYDMGg8N7Cow4nCSDVBO/lV++J31SZYXiz+2Isu4fOeQ4/lUViOarpSG9SDeDudTtDedfBHKTvvPjq7Op1OCLPSRZRYvmpbqjkwAoWag/oAVJvJqt9xJm8Rht/Y2ECtNjjSTbP4sW1FyEZSPC5IwpKG06mT2/6ufKfjYRWZIv2jFpmSjgnnlEYa2UXGauG6J8DCJnnwglqNVgHLInuvWlYU3MqPXv9w5yXDdr2gidjYWwhJNW7Fvb12lMsnPyz4KoD/BsCnAPwYgPcxOJ7sH/b7/b8r980B+LsAFgBMA/j9Uql0M+/cSVtZYLgzPLxQcWPd1h57xmqT1rSmuTk2Nja0AuYRF4h6vZ4yX/k+jXSxuCW/qxZj2+9lsePKHYMPPCbhOzUqJxY+yUVCyWozOhH1dBOFZGh9MALBLm46YfIgEv3d24noaf5K5XIZt2/fxne+8x1cv349HEoxChUxtU9Ktp+3t7fdiBemPVUL0kJ8RRz22r8etDI1NRUsSM4JKk4Uwln8xmvUsjlXbDIv1iFWxyxrSdth60KljooE68EyWUe705r9yJOW1PLJUpY8Ye3VmQpSuVwOJ3Hp4psluOMR3kdUBfBP+/3+HwPoAjgN4L8A8EKpVPqDUqn0eqlU+gSAnwLwXr/f3+73+/8PgE0Aq1kFP3r0yL1uV+vYysrTy61JRrJYm8XA1YHJz4mJCQBIMVkWKfaluze9+scmkNVAYu9gWRSCnrma9zwZlZOdm2Us8R1a/yLle/htTJvJoo9DgwWAhw8fBnP/pPRxOME8YrpdKwTUH3LS/sqyNj75yU8O5cKmVu3l/1GlSGE6WmM24dvHZa1k1YtkYU5LfEbj4keFxrLg1gcPHgQYiuPIOp5oA06/3/8mAJRKpVkAvw3gXwP49wDeBPB/AfgGgL8B4I8A7MqjuwA+kVU283HrTkeuOJpUXDeRsBN0C6vVVkl6zRsYHcQrV64EbbnT6YQNNVNTUy7WTiY8ffr0EOalUQvAMBPpah2DZbIYSU+BUdin0+ngvffew/r6Ol544YUQqWO1d820R/KcQ9wJ6sWd64RUGEi1EL6H0Iq2zVtg7fVut4v19XXs7u7i+eefD9Et2m9Wy9JFwhMML774Iq5duzZy3gqlkwps5QdbD09ZoMJBuEHbY2PpSbGQRu1jhTtU89MyAOB73/teyvnMchjRYsebZVu+TpIEBwcHaDabePvttzE2NoZXX3018Jltc5ZTlf+32+2wUY1pgAGkYBzyi1ojmmtEoVYPYiLv2tSynkLjae2x/uh0OpiensbMzEzoA633iaNKSqXSXwTw6xgI7l8CMAngh/1+v18qlX4HwE8DeAPAGXnsDNKCnGW9BuA1APjEJz6R0gAV9kiSweECX/jCF9w68T6b9ctOKj3FRp0jXpQDhWLsKDEVltTI1YzSzSz6vMdwam7FNFrPHIsJebZ7fHwc9XodDx48CEzGtJhMfF/kiCnVrjw4o1wupyAhixcCR0LJ7mbTftDvKpiBAWPv7u7igw8+wNtvv41Go4FarYYrV65EQ6xUWNnFUp2zHmVBII9bK8wqz8J8DBO1znjCACSFAFl+3iJTLg+cY/SbJEniHuZBUqHG0FCWo2Ns+3hycjJk7Xv48CHef/99AAPBS4GrwtpGf7Fudj78k3/yT9DpdPCpT30qlbBOfQ9ali6MVhZ4O105Pz04tihxTpA/+X6mcVbsne3N47ciGPdFAF8D8LP9fv9bpVLpWQDrGAjr3wXwkwC+g4H2/eVSqTQJYArAOQDv2PL6/f5XAXwVAM6fP99XU4+VnZycxMsvv+xCDmQaj7HUCagwiOLitvNVK+cgzs3NpTbEeJ1IaIQrJKNg7P3qPPy46fTp07h8+XJgEi8BFtuaR7ZfgOH4WmpsGt9riYtEjOmtYNExqtVquHjxIqanp3H37l3cvn0bFy5cCO/+UfTpkyQqNEz3C2S32yoYMdjQ/s8Uvr1eb+hMT62LKj4AUooTy9LfbL0AhOiRxcVF7O/vh/0DQJoXrLVAWKZSqaROrPnlX/7lcJ6khity3hMK1LK50czCHhTSnDOtVitY1YwGs7BfHozoKX36qfIia6OSpSIa988BeBbAr5ZKpV/96NoXAfxPpVLpGQDfA/Df9/v9/1gqlX4FwP+NQVTJz+U5JmkKeI2LHSekHeU5ILVjdeXiYNrrJGVIRpZYUnOcworma7PZRLfbDbsSLXlmY1EiA2p4nWoNVmtXB6Q1+WL9Z6Ema0Q/lAQAACAASURBVFJ7wp99bX0HlopoKlYr4cKYJIP49V6vhwsXLmB5eTnzXTEPfew3bY/3zMeJw2aR1RKz6sDxiTnL7LMWXqKzkLBXEfIsV11UYpZhtVrFysoKWq1WWJQsb1HTpQBlaCqtRd2tqgdt6Du0fWyjFbie1cdyeFLVw4cPQxiu56tRDVrnQxav6Zw9Ll8Vwbh/EcAvOj/9pnPvVzCIOClEBN9jQswykYfj2d/IwB5mS3xX8dm1tTU0m00sLy+HI8OstmmFmQp4Xm+1Wjg4OHDxbK0rf1dh502WbreLb3/72zg8PEwlhGLZCneQuTU1rMIVfN/MzEzQmslc6vHX3atalm5B1/4mdhiLl9bFxZLXRyq0NayzWh0c53Tjxg0ACBPJg7q0f+x7+N171qun8lGeg9kjTky2yxOssfK865aXvTrb+7Tu+rt1DnoQkq1DTMjoAmDN/tj7NcRU62C1bkZeMIyT2rLObxv9pGWqUuNFZ2k72T4qRwsLC2F/h1qweX2i99jFIssaUhgnSZKnewOOTjYVJkBcoMdWNLubjHmuK5VKiMck6cS+desWxsbGsLKyMoSN5hEF+ZUrV1zs2GquHnmCo9ls4nvf+x4qlQpWV1dTiZHYZ/SGM1xsamoqhTuyr+yOSu1vXZQI+1CDY7ig1x/EBL128P88MxJAaqITZ1U8kZ+aydAjy0caqhZbiGPXeJ19cRJHpqW8Hbmjku689XwJlnQ81UpVHnyc7QWG91N0u1187Wtfw+TkJK5duxbqRH5Si5l1otC2PKmLRpIkYUOPRkV5ECnL1f7TPvKwcQuDekoAUMzCPCk9ccEN+LGfMcozyXnc0tmzZ4OnlhqmjYVNkgQzMzO4fv06rly5MnKuZE5AxqJ6eT4ApJxuedgsf6vX67hx40ZKsKlXWzUACl3mLonVVU8IUWiC31VL8nDHGMyi9dbvowgnxSX1moUstG5eGewLHpjBsaaWrsScKzYSQE1mbasKjKJtU+3WQgK6Q/ck5C0+eaY6lRwulnQcfhyQkO2zd999F81mE51OB6ur6YhhtXB6vV5QhlZXV4ech0rsY2rkaoHy9yzFif3AKDXWJSuEtwiPF+nP4/T5E89VQgZiB1PwWDNb8aUsEH9paSkcCaYYHB2JLJPPT01NYWlpKUAoRbREJetJt3AKBQmAsIWcz3lMoeYd67W/v4+tra0A9dAkVcYsl49Ss/J5ndCqSbVarXCvBzfENAZtk1d/q9kqWeFiIS36NbQ9edaKBx2wrym479+/j/Hx8aC1cYySZHBoM7cyz8/Ph7MUrcXHTz0QIA9vtm3WRVKftxCatl/5N8/aYJ8C6Ygg+yyVGGDAB41GA88991wQ2kVPLfLmSZH50+l0sLi4iLm5OZTL5ZApk/zARTRJkmB5ZVmMrDfDeFkev2cdGad1olKXJEmw1FXe6JiSdIxibffuj80PIN/ZSXrihwW32+3UyeIkxaFJisna+1TQayyqdpSetK7kvd/rWE/Qepi2NbO0fnoWptbNYy4VwMwGaNtdLpdDuB/r2Ov1QlSM7UNqMdYxyffrMVtWkFiywtvTuvmshVWYSpWL7LVr18JvjFQZBbLSWFz+abQE66uT/tatW9jb28PnPvc5vPnmm/jc5z4XhBcFuN7PMrIWKNLW1lZK06Zg0CgKHTP2Ne9jmCkpS3jrpLf8CCA4zrlwseylpaUhiOTj0LjtwqJYeKPRSLVP54/lPW0Xoz6445C/cWu6tsODOJSY3wVACnu34YlWOKuS49XRyiarCKjQVwu3iPB+4ho3J4qtcEyQxUx9AEOrM+/jb5xEljmt9uORt5DEyFoL1CRrtRrW19cBIODRtg4eWSeODjjrxP7zcEu1OoAj54vHSN6nJcukRaJolKhNaRw4n2GbmHagKOTCfmHiLABhAddkWSyv1+sFi6bVauFzn/scbt26hU6ng3q9jqmpqSFHmzc5qeFbZ9n29naImLB4veVjLwxOx8cbj5gQt9ZAr9cLPpButxuEdblcxuLiYjhpyfpGRiUuzt6JUfa+crk8BEsqL1rIxwo+tZ402srKEc868vqQyo/9Xfud7bN1o9XojQfnqI08USXR9tV/Ehr3s88+mzqJBUjjfqrtcLJbRm+1WuH0j5WVlSHm0xwaeRqLnaDeRPWetRMsBoG0Wi18/etfx+TkJH72Z382Wqb3rP7veekpIDSD2+TkJFqtVnDQcgE5Ka6qk0zHyu4qy1oAmKKWR7dVq9VUfmmNbClaJ2bLW19fx+bmJmZnZ7G0tJSK6GB51Wo1xLwDR+FfP/jBD3D//n289NJLmRaFms6anIyChpOa/FetVoNw1EXULp7cvEV+UdO9aFildfBzy7zd4cpIouNo2VnRMNaR/rhJrRQAQxFIHiQVs2xtXLVtS+w3W5/jtoM0aj89cagESDuhighL4Gg1XVtbC+bR4uJiqowiESokbhcHgIWFhVDWSajXGwT53717FxcvXkS1WsXVq1eDRqh1LUqET/S7Tk6+105ci7cCR+FHnrUzSr28SRErz1pI3IrMBcdqs95GqxjDK0Y+MTER4r/ZVt3RWqlUhsLILl68iHPnzgUBq31t60VclUJELUcAwVldLg87fW2EhbaDvxN35V+1WsXMzMxQdroiNDc3N9R+tslaPTHKgi34vVqtBvgrSRKsrKxEhXgW9KOUBU9qvyocEmuPQjWPg6z1z7rFys+zQqmU/icBlQBxZxcwDOjbwaaWTUHrMZiW4ZWvOCQD7gEMmblWoOm7Yvhur9fDxYsX0Wg0sLm5ieeff35Iy/LKyFrAPHy61+uh0Whgbm4uCENtuweNtNtt3L59O5xsw3tqtRpef/11zMzM4MqVK9E+U3iGAmd7ezuYrnp/LBzLfpbL6egXErVYz3JSfBMArl+/noKUuEDRWcWFwkbJKNRmTVpe0+gdwg92xyyFuApnarccl5hj15u0tD64MNi+tA5Oyx/cWk3SBd4bl5jgsNcVJlLe2tzcxOHhIWq1GmZmZtyyYnPS05DX19extraGcrmMV155BUAaFiV/WQ3ZLsx5+0IsefPU/k7FgvBPzLfFe7jAWXhRM23yfR9++GG0bk+F4I6Ralsx4UgtoogmEhPeZOB6vY7x8XEsLCygUqkMmbMxjNFqZXqCfJIk2NrawhtvvIFerxcOQo7hbqOSmo1jY2NhEaTZbrUBfWetVsO5c+dCOSpsNjY28ODBg3BYgEcsn848TTFatO5WC7IHE2RNHl1AvPhoavCexp81wVi2jr+mD1B+4OYgDTfUCa2CfRTnH2Ek1suLY/fGtSgp/quCP0YWdmBQAXDkS6DlMT09HZzD1skYU9CyqFqt4uDgIMBrGmSgPgHPV/BxUtGxtPcpdAccjaNugsujJ37mpDYgFumQRXQsZN2bpdlypavVaqjX69je3k55mb3BUW2T9aaA0FSX9N53Op1gGVAzyBv0orgZJwMH3GKorJ99hvcyIkU1VAD4/Oc/7zp7rSAkra+vI0mOEhTlCXAVhN7kts+qWc++1e3QvV4vFeKo/cf26wYVbxec1Y4stETa3t4OWO7S0lJwbGn4GMdYnX421t8jxVz1/FGvP05CjFcuIrS993KjG3DkSOZcpGWhC6kuMkWgOPZ7rVbD3NwcZmZmgtWlmjTL0j0a3tg+DaSKBBd28i5lCq2rPHrqNO4sDStrwC2DeNqJp8kBR5gww8fYuSpQ+KkmjgoxhVz29vZweHgYzHIuCt67tWxq/nZhsPfqwAMIiXRU88/CLtWE141B+j6tr1dX+13jaLPi7PlefhJ+UAHl1ZvREXynal265d86NFUj8/ohpsmzfqyT8kG1OjgJhYcEk3/ICxw7q9HG6gHEc6ywPbrIqdaaFzvskYVl8oS2/Z1zhWPFAxa4WKlQGqVudo4CR7zCcbAQg4VWLGnK6Ni7NfhBy7WW9nEsY2sBxqx2IH76kEdPXOPWkDZlSM/kBZCKT+Z9tpOtsNUy7S45ZV419VV4KhOpeaarPzFibvQZHx9Pbau31oQKKGVGmyyI2kSSJCm8UCdFzCrgbzGPOdvm3WP7MMa8rB/jaYn9eg5UfYbfqZ1yMcrCISuVSnBEq2ZarVYDvq3hnip0NeqGY2YjNThOFkfXhF3Uom1+ce9/PqNk32f70+ar8MpVC0/vjU166+C1MN1xYAVap+pApoPc4xXLT3a+0hrR3xWDj7WN43n79m1cvXo19VssNbESlRyN47b7HGLk9bk+Zy1Jb+7wzy5QwGPIx/1xUalUGnIQKelvNIntIZ8xDZB0XPw4S1tlJ/NIJzqr1Ong1ZFCoYh1oJpWkgySWPV6PTfpvGr9lmKwA5DeXjxqf2id6R/QdhUJXdOFo0g9NE5XFxzFU3URsv3KiAdiiTGTVFP1sm60algmoYZRTfI8rcsT1nmQk1U0vCghpePOCZL2OR3hzN5H3uV7OCY20skuHvzU8zWthez1NcOBv/Od7+DChQtDsJK1iOw7CW2qhcqxtcpWHhWNCGEfaLnq5C9CTx1UYokdXqlUcOfOHQBIrYjWvLArHuCfT1iEFB5hOBV3/AFHKyYZdXt7G1tbW3jw4AEmJiaGNAnr4Ml7J8OqNjc30Ww2A3yR54jlBFDMVSkWvZNVrzyi5kxsNo8JdVJqdEDs/YQIuNhotI+11pQ3tK0qqL1c69r3uj/ACvmsxSGLrOCwvHrv3j2sra1hZWUFs7OzqUNAaC3o8xTauhWfZRWth/c99rx9h9a/0+mE3aLdbjfqd1JMl23iOPA3psHgnCO+rcS5Rwfu3bt3h34v0ge0xqyykXec2agUW4S1XaNsgHrqBbfSzMwMdnd3A57LlTSLUcn4MVM9i8rlQWja5uYmxsfHU3HHZC5OYmoEBwcHODw8DO/lifTqWPNMJlu3ZrOJmzdvIkkGDr/p6WmcP38+aNx5WCHNWBuN4GGjurMwq0xLqsnoRMgT2hy7oo5PJc01AgxDIxqbbun06dNYWVkJ1pvWRUlzMQPDeGdM+yvKVzHa2trC+vp68LWwTdZSAxAUAQvpFJn8eXXMmlPcPk9smwsQBWlMq7bvJb8RolTIrNPpoNFoBOuV6YitBU6YrFqt4oUXXhhaLPR+Dz9mHS1k1mq1sLm5ienp6ZRiYem48eDaLxpSOwo9NRg34Gef02s8wsl2mL1XhbqSJyBt7md9jhrBD37wA4yNjQU4hFn6KMD5ndrg+fPnA0Mpc3hbw2NQESdurVbD4uJiyN6msAufV7NPy8vKU6wmtodzZqVs1Ws6QTWmNc+BxmsKlVDjUjjEw5I9we5pMhY+UphD309YhIJjcnISCwsLQUglySDslM5RSypU8qwMFfoq6JMkwdzcHL74xS+mnK26MKlVZOExCk9P6GqdvEyItn4sT3+nEvP222/jwYMHYUOZ8vjs7GzoI084KU/QV8XyvcNyNcOnQkCcT81mMzxD4W77lp821YXygvqikmQQ6rizs4PDw0PU6/XgV1E40I4z2+XNcSCd7oCftEyUdGyf2nzcllqtVjCPss68y6KYuWg7em1tLTjUdFDtc9VqFWNjYxgfH09d56kbNpshj2YCjhwfVuNVT7cVILy+uLiIl19+GcBRhAeQNjVjQkKdsZ6Wn6Uxen0VI50QZEyr5ZwUT/Xql1WfPGcWy1GBQQHCfmOuEvoUYiFa5XI5HHx79uxZXL16NTeUy7O2rDD3ysjCrFUY5PXRSX+fmZnBqVOnQkZPHfv9/f0Ur2rdrdVCS9DDuicnJ3HlypUhGM1CM/YdMedjrF2W3zVUM0kG+yL0Xl0oj6tt37t3D8Agi+nk5GQ4e3N+fj4FIeVp4E+F4E6SQYrN9fX1cN4kya78qsVZEyZPo+Gz9+/fx+uvv47l5eVwtqXVmGi61ev1VOgTy7IruP4fY6KiVC6Xg7DwnBZFTCs+6+H7rL/GfKuQLVJ/zySNCerjQAh23FlOTLCoFaF11GyMtvz3338fjUYD169fT5nL1LqXl5eDP6PRaGBmZiacKK74+N7enmsJnpRifabXye8cU/LGSRJGxSykWq2WOtiXFqgqElmCkqQCU4Xm6dOn8e677wIYZFFMksGuSZ75aMtQyHR7ezv4oI7bdgpMOl3PnDmT4guFoqy8KDLfe70e3n333aDMqS/o3r17wcqmZXFijbtUKv1DADcA9AD8DQC3APxbAH8ag4ODX+73+/ulUumnAfxjDM6o/HsfHWWWSRxomiG6c0jNeZqsnU4HBwcHOHPmzFCMLZB9pBMH5syZM/jUpz6FlZUVAHHtXL3nypxWiKpmq3k3FDLgfXY1taatwga8ruaXjajw2qnvoomrE8vGfVtSJowJD06cUbX0k1DWOyzm62GHllfa7TYajcbQDl0+NzU1FfwYFOCa45mwGdPBsh559S5iDcTgDFsmFRKrgY6CdxcdO92QZaEBLcdu6ycfWmtMiX3+1ltvodfrYXFxEVtbW7h161Y4mSq285TPak7tUcjO65mZmSFt35aZJajt/Vrnubm5VEgq688yOT/zFoIip7y/COBFABcAPA/gtwC8CeD3+v3+XyuVSq8D+OulUunvA/hXAFYA7AL4g1Kp9Fa/329klc9GTk5ODm33tNozMMBRO50OxsfH3Ymqp8147yIW9+qrr0brYj29CmPwPtVKLZ6nB0PogQ5ZWK/33YakKXPpAqAmq9V6uOjt7+9jY2MD9Xo9dbam3u/F4KoVY/s0Bot4jJ6ldbN8Gw2iCx7vK0K2XbrQkWq1Gq5fvx7ymnik2/Hr9TqazeaQk9DboRqD+ewzlqc034YlOw/4nREwpEqlEpzNngPYWqFKeSdA0arxcGTbh3TId7vdkD/HtsWWDQCvvfZaOBR4f38fKysrQ5uqyuWjtLCac97LFaLvtOPmKWOcQ9zx7FkQ5CVv0fIUSZUr3OvQaDRSPEm+0nl9Uo27CeC1fr//x6VS6ZMAdgD8eQw0cAD4BoC/ioEW/of9fv8OAJRKpd8H8FMAMgV3DG8F0hEDdARS4yaxU3R1zDPZLPNTaMQGnRqEwg429IxMvbW1FZxKio2qgyZPw+GEs0JC62y1RP2djKR4OHd0MvWpmvYeNKJ9yLY0Gg3UarXgJM6i48AjlqwlcpLy+KydKN6ipP+rU3lmZiZ1ipKFZ4pAJVn32HLsmHgQGZ1mDJ+zfOwtuHkwhqfx22P/eF0hN9tX5H9NRWCFP9+p4Z0zMzOhXVTmvDZQM7ULiWdNWh6PzXcvWMLjEeWfdrudOvjCWsP8pLVG2t3dxblz59xy86jIKe8UxP8MwGsA/iaAv4WBVo2PPj8B4E/JNb2eolKp9NpH5YScILqTjZ2lmdesoJ2YmEjhzt7EKdJ4Xbmtk9CWlVWe4rEPHjwIA0q8rWjiGCWr+bOOrAejHLKEGSER3TF4nIT5tGQajQZOnToVIAJvMsW0uaJkn9fJk3W/R15ifW1TlsAm2bZqDL9HVrM/ia+jCJFfLRxRFP7IIwpnxmjT5wMMcH9CTVeuXEkJHd7L/xk1Qu1Zs+HxHmDQ3xq/TiemZ8FR6+Vca7fb4fkiRN447hixHZRVRA5iu2N5aMV3v/td7OzsDJ3UZZ85kcZdKpX+DIBev9//QqlU+gcAbgPYA3Dmo1vOYCCk/0iu6fUU9fv9rwL4KgD82T/7Z/tcsYgP65lxCjf0ej0cHBykNF67RfqkGh4wOsPbsLOFhYWgdejW6KKOK9UgvN+Ao0NMuUHHMotqAoqPT05OBgdIXl/Z3zudDp577jmcOXMm04rhs/p80XHhcx6eaC0VC5GpgNawyKywxKKLu0Ib3gTTesbgpOMIB/us7sr18GJ7kEXMV2HrSKHDezzIkvsCZmdng7LTbrfRarVw9uzZofI1/I9ne9LhS0FXqQySo9lxUQ1XF26tt23f/v5+cCBT4BelPM3b9pXCHwrxUdmiQthqtdDpdELirXJ5EPt+/vx5TExMhGyetn0sO4tnikAlfwnA86VS6TqA/wjgQwC/A+AvAPh9DCCTmxhAJedKpdICgA6APwfgr+QVXq1Wg7C2MaE6GaemplCtVtFoNAJUUmQi5gkNr3M8c9EbXE/AKDRirYJYXRRf4+Bb7VDrsr+/j3a7ja997WvY29vDl770JRfK6XQ6+Na3vgUAuHLlShBAXnJ7ZSAdBxK9/FxQb926NYRdWidqVhy3RwzN9DBUO04W/2efqKC1MbWxgxlICg3REceYam2Xlmdx9NhioLi9t6jp4lQul4ecjXq/WiPWHCcRSqBCZMnyZKPRQLPZTKXx1TLr9fqQE21yctL1ESjvUCPd3NxMWdQq/FTbtvVTh50tV/uuXC7j7t27KJePzpz1hKLSqJYnfQc6BpRVrCPHeH9/H++88w52dnZw5cqVoG3XaoOzPvWsTeBodzetiLW1Nezt7UXrUkRw/xqAnwBwFwOh/UsA/jWAf1sqlTYBfA/Alz+KKvnLAN4C8AyAX+73+/eyCu73+ykG0sHRScDfyuUylpeXQweMgt2NQrGBtuRpV1pv/s/B8I7i8kz1IhpqkiSpmHGPNjY2sL6+jhs3boRJQEtlVA2QE5U7Rvf29sKWcG8L/nE0TE/wZY0DQ8D4vyYg46dq31Yjzupvu3hk1fm4RKHlacOexqypcLnV+3FYmcCgb06dOhVVZNifunDlabVsy/LyMpaWlsJGNY3h5pzJGgMg7TiPQSef+cxnguLh1eM4RMuBvgx7aIQNOuCCu7+/j+npaezs7KR2mpKYpEuh4a2trTAHxsbGMhWeIhj3fwDwkvPTTzr3fgMDZ+VjJSsIs1KkAkh1tD7vHewaI9X0sjowJqxZBgWHam1ZIYvedSvQyEDcpMBrtj2rq6shzFK1WWrUFOS2LbE6JEkSvP2czCeJFz4JMXpC6xaDWjiZdIMDMLw34Dhtse/KimwgZQkqrZMKCFpQbHPRcL8iVKlUgsNZrcQimn2sXRTK9K/Y7HvMIJkXRQMMp+ZVqEUXaipG1rE/yuIWq49aCF4faAw952e9Xk85WFWW8HeOebfbxcHBAR48eICFhQVcvHgRv/VbvxWt5xPf8v44KYbjMSLlnXfeQb1ex4ULF8JvnreZ171Bir1DJx0nGCM5pqeng5edQjPPgRJ7r1omsQWAkyZJktSWWtX+FZ+zgsY6hVXToLdf++pxO+CytFzFtOfm5sKipE4zLi4AUoKuXD6KaFDhxO95mrd+17ra+o0KEXnlWGIGPg1Bi0UgFLEYtR320GYlTWkba4/tS5avmf4Is6m1bKNL8ojltNtt3L17F+Pj41heXgaAcF7sxYsXhxYQW9cYjcrHlieICnCeefcomkCBDQwWBqaCpu/uqU7rqo0keZ3urc4WK7SaqTLS5uYmdnZ20Ol0cO7cuRSOR0xKcUZNWKOdXy4fRaKo5sZyAIRNOEw4pUcSaR3VmaZkhYhlbnsmo1oQVvNXLYGTRZlGBZearl54oMYZa3l5k68o9KR9otqzZX5dtHSC6JhqH9r+Ze6JjY0NzM3NBc0t5szTNljLx/IokDbrPSci/2f4np0DmkCJ33nqji4y2j6Wp2eHeu2wxHGNzS8K3263m4qCiIWP2lh8KhoaAcV32s086uSLzbkkGaQ43tnZAQAsLi4iSQZJ2X74wx8GYe7lILf8NCp5PEHS+GsbjgkcCXU7fvy9Wq3i8uXLQ3WO0VOx5V3Jdk6W1uIxpZ6mwnt6vR6mp6fxEz/xEyEqwk5EFUhkDmUu3kNvMb975+pRgHQ6nXBoKieXFwLlkTKuN0m8eHD7PZbzwGpbvFeFt1c368UnqfCO7W5jf9vx9NrGcjxHnqcVEmv0IoysNs1+4xhubW2FAyr0XTZSxb7PttXTyL2JbMlzsNvFgaQKg10wyHe6K8/bseiR8piOE4V2q9XC7u4uqtVqsOC0r/lOL70ClQBuR6cQ5vh6dfPqrMLO5n5PkgSXLl3ChQsXUkfneQmftN+oxIxiGXlEK0uVHs85rzLHKn8sh5RXp6dOcCsVwQqBow555513sLa2hp/5mZ9xD289f/58eNbiZryPIXTMxsfrRYnMUKsdnazN+lkNfRSyGpntA6UYnEPNktq21QrtYqCMpAKF9VeznfHNwNFuUU9DOc4kscLQW8w8slAS60tYpdFoDC3OefU4rrbmkVeWN5FVa9NPwg9qXXU6HTSbzVBO3kYpnSMKnXHOsH88iwMY9Gmj0cCbb76JF154ISVUSVRYYnnxvZBJy4eqbM3OzgZoh4sUNW9aCUX5TLVeTxHy5pJVqnSBJhSkkOTp06dTjsmYPBkldPT/Vxg3AOzs7KDdbg/hsEpZTpFyuexuvyepSW3z/yoTMHojSzsbhewkZiiaavj6uxJNXTt5mAFPnXwew6tgt+/QXaVe26yw8/DfIpNMY5lVUGUxufY9rSPdKr20tBSFVCis7E7Jx0lFhUu5XA7hsCpQ+ZtCNAyLBPKFthKjhSgIeXYoF2FG7FhNd2trC3fv3sXh4aELdbCO+jmKIkSyZTIyiouCtSJj0TExTdyjUcabytD9+/dx5swZVCoVPHjwIPx+6dIlzMzMpGSEpVEw9mcK3/kx0XEGMYuWl5eDw6Io2ZAeAMGRQjNIOzVPS+MqrHG+j5PIeMxBUuR+mrNefYoIpVg7yuVySjPzhBEXjiymLUIWty1aFttmcx/rAvC0k9Y1JvCpLOgzo/Q3hc/m5uaQphlzpk9OTuLcuXMhgqJoG0YViln8l/X9SRN9XHm7nEelp0LjVqzLamdFtBIy6MWLF3Hx4sXU9bxdUdZM4pZZ5uRQLcLeG8PQer2j45cYpsQyim7HVVILoVwu4/79+/jggw+CWUrzbHZ21p0Ud+7cwfr6OjY3N/GlL30ppYkp7h7TYNV5pJYDoRfNUaEYKbUbPYvQpj+1ibEsczMtK4UK+yA2QS2kw0+asbqTVaErddpqO7y+d+tp8QAAIABJREFU0HDKvPHM419r/WVpg97uWLWC2Kbl5eUUXAKk4RWNbbfzrd1uhzhrvY/jZrPaVatVrK6u4sqVKymoxbbPs7As3qy/q+Vq+wtAyhKyZWkfkSwkxMgpawF6PgVbnvWF8Dcmv9OTge7cuRPCZosIbvZXr9d7eg9S6Pf7x8INY7iutxswtsFBhbDCDSqYbCyt906vTDIHI0v4jhhOGCOPeZMkweHhIQ4ODtDpdHDq1Cns7OygVqulNB7Fyxg299xzzwXz1/ZJFsTBg2B1EdL8J/q8FQTsi3a7nVpYtO88CEaJzyjz0wntwTAn0WyKjI1imk+CdGH0iDAQF8ushVGFM/Pq2MUUiG8Lt9c9ATjq/Lb8znnMRVMTUul9MSFPRSpJEjQaDbz33nv43Oc+N1KdshYGDT6gckalhruLi27BV9mTRU+1c1LJ6zhdpTUjGAdJBYdXFn/TATiOqeUtApoxjd/VIVikPI/K5TLm5ubCAbZs8/T0dPQZOnNIjUYjd9el4oHclaiecCbLefjwIWZmZlx4SgUCzW2dTEUEH8eIgkq99z8KKiLAniaiFmnPGiXFNFRrUVIAfRxQ30lIrS4lq6ABaWuG8+/BgwchACEG7XlURMEsl8tBOQEG846neVHRyYK61Kp86qNKbHSDVthGfmQJPk7urFhv7zvvt6eHa/3sc1nOTZJ15Kyvr6PT6QQscFSMTzVOLgTUnF944YXUImbrarXrxcXFQu/ks5oYn6FctVoN4+PjqdS1KpTVcaSxxZxAvO842++1jbF+fNybgmLlHgf60rKsAxUottnH0y7V7NeFzt4Tg5y63S52d3cDRMjY4zy48aSUtTh4VnOMYqF1pEqlgqtXr+LSpUvRo+jy6umFENpdrLpYqKXDhFMeMUKGYzM/P49nnom7IJ84VJKn0SgWpSuWzQyonU4G5b1ZGyu0DM/jnCX4i6zA1GSazSbW1tZw7dq1oWgUi8XxO5PUELfUJFHKeDYhkQoTG/c8yoRjH7I8mnwsjyeTaGItbYfNL8FPC8Po+9RqsrCKknddFw7vuDJP8KkG6glKq2mNqnHbTTNKmoIgTzhl8Rrr1Gg0Qm7oT3/60+5By+QV+mA2NjaQJEk4pq3ZbGJ8fBxzc3OppFwxGELbor95Gn3s/qKkuwytP0bro3yj19nXRcM/1S9AoW3nnvqH7GY0yitSDC7h2Ovzef3zxHdOZhE3ATA9InAkaL3wMw/n8hjeDrKFU+xgW1I8Pa/+vL9er2NsbKyQ553RIj/4wQ9w//59TExMYG5uLkANdhu7rasVNsfRjvg8tWs1+crl8hDGrAKKdeDBqN55gVlhh941i/eP4iuIERemmIZ7HP9LjLgz15JdwPL41bMo9XfmuyB0pdZqpVIJiYwApNKOlsuDk9LVOlLl50ni+SRvLmbFPqsiYC3PUYn8zRTUml6h2WxG932MMhcp76ikPnr0KHrvExXcBwcHwYsdm8w6qah9U5vzKAvX88rkdwpv63iymgqFl83nkfV+5h8oCpHw3WfPnsXe3l44YV5NLT3XkjCKt6noOGStFMZ7s32c1NQ2VFPQPp2fn0/9zv/zsEV9t20T35kFV40ySXVieXzB8o5L2l+xOnGHIiOaaFEWJfIA51GsDtTIZ2ZmUKlUUsfYKQ7LfqUPJaufHxfZsopYRLHnP27/B6HAqamp1C7pIu+1cksVUO4f0SyXMXqigvtP/Ik/EfC0GPYMHMWRbmxsYGxsLGxb9/BRNW9t+JKW6wnzmOedA6X5TGwdvXrbECg7CWIDTafmxYsXQ4wsw7tYN25D5knUVtv9OJjXwhz6DtXC+V1zbeRh0kWIGgkFVZb2UvQ9yg/HXfiy8nx7WrytN09vYUjncbRDYqj379/HpUuXgvBXnm632zg4OAi/MfIBOLI+1KlZqVRCNBHLsNrjqMK7SLu8OVYul4NDPe8k9zwhPwqpxs6y6WNaX18PloxntcXmYSxkkuVzYc2iJyq4Hz16FBW86pADBpPj2rVrQRDHmFuvqaAlPsV3MNbSIw/XpNCw92WZsVaw6f+aq8HDs5Q5W61WmPBc2Xd3d/HBBx9gYmIibPGlJWCZLS9nA9vitT9voVErRY9G895JbSIPZmJ/x3DD3/7t30a9Xsfzzz8f1YqzFtes99pnYpog272xsREih2yYZZam6r2DY2wXEH73BBYFdpIkIT/69vZ2UGxYxunTp8MJ4+Q/nj7Dd/I6eYhZLnlsmWqYMf5RAaaLlLVO7UKnc8sL+wSAtbU1rK+vh3TFWg55ltaLYs9ajuXzGFk5xEWN/in2V5Ic7c3Qc3Ep4D0/g0ZH8V0KS/HaU+uctKSOSE583eOvpps6IIqQDkKSJENxyXmkKRv5HRieyBQ2igtahqXGw3uV1GLQGFxlxGq1iunpaRweHmJvby/VZ+12G2+//TaWlpYKRY9k9ZfWSck6n1jHer0ewgftYcR65qXi4THBaLP/6bus8MjSTmz4oRWYMZjE1sf2Df0Q3CZerVaxsrKS+e6YH4UnqwBwc5xTMHe7w4dxsO+73W7gKdt3/NTTW/jc1tYW3n77bRwcHOD555/H1NRUKgRUt8HTwqODT3PxeERFg3AoBb8X8qaCW/0ZjG5pt9u4ffs2Go0G6vX6kFZqsfi8UOCsentk+aTX66XGwpZVrVYxPz+P7e3toT5RsmNUlJ4awU1GIsZGZlTQH0gfK1VUmyIDULCdOnUK09PThYS2N7GttsC6FiEOEDWALMuBk1C1cgpvnq1nIZJut4tmswkAwbS0dfMWlCwqAr0wP4ZCU7q46VmXugCSdKJRu+GuM6337OwsXnjhhSHMW+vqUcx/wj4s6jNpNBq4desW6vU6VldXMTk5ic3NzcydcXmTcnJy0jWP2a56vY6tra3wDgtXTU5OusfRWa0OQErYMPys1Wqh3W5jYWEhaNkU2kxXQDo8PAwOulOnTgUoz2urtfhUCcvrE+UHhqAuLCxgeno6bC7SdjWbzRBuO8pmlzytm3W1zndrKVuYMkkGGUZVOfHeRRmmoZxF6IlHleiKRbOYKSKr1WrIPa05ij1NtQglycAbXARDIlnhaAWOTlgVWrFFRbUQRmzYE3mUoShctB7UwGdnZ1ObjWiJXLt2rRBOGtNGisIMWk9qUtTEOOn4uz0zMKsutVoNv/M7v4P33nsPn/nMZ4ZiXxWHzRPadkKo1s37uaATQtP2awgaqd1uY2xsLDiTmKwqVgdbTxL7hJuprAKgbeSxcV75CpWpAqTtt9Ygy61Wq3jllVfw9ttv4/Tp06l0xsrPLHtvbw+Hh4fY3NzEBx98gE996lMol482nijPcA7TslWozwvR9aBG1pmWFlPwkmj5dDodrK2tBWXPpn+IQSQW2vHGSoVrLDzSCmi+W+WMjs9JMfhCgrtUKv1DDA4F7gH4GwD+PYB/B+APP7rlf+73+/9jqVT6aQD/GMCzAP5ev9//Sl7Z1JwZb8xk8CTF3rLIdoTia8BgwlIzyRPaVoDZrbXe/SpcvThTZYY7d+7g61//OlZXV3Hjxo2UMLFxonbRsIJKcTMAKZM7K/2rJ7T5LhV2MeEdYzzrEFOIwmowwHAedOAoKVWn08Ht27fd5FC6WFHoxXBjjQCyoW3dbhfr6+u4f/8+FhYWUk49antsA3HiGzduBLxex0atJG0Py1Irkb9lxRXruZm812unVSpYB0/hoFBXYdloNEIu729/+9vhJBZiurTc9ASes2fP4vDwED/84Q+HytdxYvsIncUWOOVPK9S52Gjf2fIIVfE38puGWcbgEyXFrr3FlpalZzWqHODYWLLC3VMoiljCuYK7VCq9COBFABcAPA/gtwD8TQC/1e/3/1u57z8D8K8ArADYBfAHpVLprX6/38goO/Vd8Uu9BoyGR1lS89tLh6lU5Egxry7qRPVO39C6UEtjeCBNVk5KtSrsBMzrBy/PRFGyfaImt3cvcLRAxDBrPl/Uecgy5ubmQp4Ha4bq+2199J3MsdLpdFKONa0DtdXp6Wn3Pbqgclx50CsnMTXmvAlXLh9tZqKjbWVlJQhNhUK8hddbSD0Bwut2TCi4Go0GNjc3ceHChSBcu90utra28MEHHwAYbK5ialflR11cL1y4gE6ng6WlpagFzGPRbD01yMC2w7aHi3ir1cLs7OyQ1s33qBD3LDy1Qj2e1kU9tmkti8/1ujdf1XGpztpYu0+aZKoJ4LV+v//HpVLpkwB2MBDO/3mpVNrAQOv+AoBPAfjDfr9/BwBKpdLvA/gpAFHBTYoJ06zYV8APrdLfgHTqUz0IVe8rssIVJS8fhxWks7OzuHbtWjgVRHFLCnKNdR6lfjGL4HGSWhfr6+upjTmxNscwPE8Y6eJVdJdbjDqdDnZ3d4eEtvb5zMxM6qBc/k7ohFYgJz4VDGrjMeHActS6oJBst9vY3NzE8vJyEIhcZJIkCVkRSdqfRRZm3sOFiXy1sbGBb37zm+GgEcIPzWYTk5OTqNfrOHXqFJaWlkL8vmc5ai4ery6Wp7WPPH+C9hOtG75ndnYWzWYTY2NpcWWtl0bjSNR4W8uzoD+1tJS/WW+Oke7o5XPaBu+dnCeEmW7cuBFNUVF0rhY55Z2C+J8BeA0DbftDAP8ngP8NwK8B+EcYnO6+K4/uAviELa9UKr32UTk4e/ZsqpPYUCAbpNd7YyZXp9PBzZs38dxzz2F6ejokNT937txQgqXYJNBogCIdqtqxVy9l2Jj2BPiMHaOYgMwz2bz7+V1DxDzipGw2m/jN3/xNzM7O4rOf/exQaFlevVmWLRvAEKzgae0xUuHK08u9iawwkwoLEq/bk4ySZOBjUFhKFyvtt9gYM2+8TmBGTvBdtMhii3ER4a0RIrdv38bNmzdRqVSwsLAQNuwQymBbSNvb20MLMi0BOjH5m22fwkQxYp9pPiCLM5OPGaRgtVW9t16vh9hqL1pLP72+4mdMGHPB5fU8J6jti4cPH4a+GyW4wqMiUMmfAdDr9/tfKJVK/wDAbQAvAHi33+/3S6XS/wHgnwL4XwCckUfPIC3IAQD9fv+rAL4KAD/2Yz/WV4hhbW0Nd+/exfPPPx+Eq8cIVvsgqfeXeRh6vR7OnTsHYMCUY2NjKSzXat9KyrD8boW494yuzp6wscmytD1cKGKCyi4A2j9eqJFqbvpOmzzLaolZsASJ6UM1aVSsX/S7jQTJelZhmJjPQPtOx5T4t+ejUO3J1sdaOl4iLYU9LM5sx0G3QnPiM8RN46aTZJCyl4IpLzufFd4e1MPykyTBw4cPceHCBTz33HOpbI5JkqQc3RrfrZ/sC5ar1224pbZZ+4mkjj7eRx6219k3PEHG40dCOpcvX0aSJENRNva5rIWPyoeF89THYC3B2OLFutPCUaUxtkW+CBWBSv4SgOdLpdJ1AP8RA237dwD8FQD/AsBPAvgOgFsAzpVKpQUAHQB/7qN7ovTo0aMw6bvdLu7evYvvf//7uSfYxISUEnPh/viP/3jAEA8PD3F4eBhW7bxOign4PGLUCLer6wGmRRwQMQxNf7f11E97TxbDqvXi1Yl18eCM06dPh7P+ipK34FrytP28BTNGanl4lgn/jy3K1syP1Vff58USx/pWSbM+Kn8eB+qy/UNnI3nRU34Ie2TFFluhpOQJOz7jLWi2vjHnoTcGXuiktVRj1k7sexZpHeziUuTZarWKmZmZVPTNKFakpSKC+9cA/ASAuxgI7V/CQFD/s1Kp9N9hgIG/2u/3/0OpVPrLAN7C4Ei0X+73+/eyCn706FEYsG63i0uXLmF8fBzT09PRiAY1Va02rEJ2ZmYGr7zySggdI1NSqI7qxR2FaJq//vrrODg4CBiq1peTORa7O2qdRsHdgOH0tVonfX+MsagVzs/PAzje9udRSTUYraOSda5maf7axlh7PQHllaVk8UuNaimXy6moDrUWJicnU5ERRQR3ET4h5LO8vBwgJD5rFzMv/06R97CPCFNYxciWq5uE1MrMo7wxJ3Hciiy8RYhl6bmlRUjhVsJ1XlSVRydyTvb7/f8A4CXnp4vOvd/AAOsuRM8880zKpJuamgoeYy+0SylJ0hn6KASt00hPHweAW7duIUkSvPjii6n0qp4W6mlhHlmNjgO1uLiISqWSStIU0zxiAjxLYyNlmYQxLdy2W+tVRMP07tGwOTJ3VkihJW/yWuGYtUB4GpX2Rx5PWcpbjLS+vC+m9VGY0fprNpvY29tLwXheWGNRUiXA01jtPdoGFeCeJlhU8Gm9CbvonIjxjK3bcQVtFqT5OMizBorWySpKo8wLj57oBhwruPnpdY41wTxHEldXZUKbJ9jm9LVJqHSwFctSAZoFSejE0zAqTdQTW7FZP09r9BYYrw4sRyegJ9BizK1J4VWY2/7Pgh0ApGKhtT0xQWix/bwJEsMouWjo7x6+qdcpNLx+YlSSxZvVtNey9F0ebKBt5XMAwpZ1/mk5Nrd41gKcRepAtTBQr9eLppaNaeI6Xp7PxG72UfL6SMfCq3sR0vdZTD22oBUt084NbX9srO24sY+9eQSkBXxW2usnvnMSSGt9rLjnVLOmsp1syox6j2o9169fDzhTnskT0xLySJ0jMzMzWFtbCxEEvO55vdVpOYrGoAuVfupE1Xt10bNOKJ3IeZqLlquMm2ddeMT36QLnCdy8rHCVSiWVaChLe/ScZnnEyeoJOStEFQ7TTJaTk5NYXl7G9vZ2sBLVUuSzMdjCtrmo8M4S/nxWF1zyisaXK98yZNXDs/X5LDzYc+p5C8RxyBOiWWXl8QH5WTNUenMgRt69x23bE89VYieCaiDAESPkdbqSen918BiYTyF53E6z9VdSptWNNVx0KEyzMPYYFJFV35g/IKbpaMIh1tFOQtUis5hSF7her4dms4lKpZLaKGG1n6y6qwYzKhFjLQIxFSEtg5+tVgsAUlixkq27J7i4aUcTR6lWqPnWTxLLnsdHaiF6gl2TTFUqlZA0iZhtLNEUUzko1pxFxx3vGCzola2b3FjHPHjFClvyl943St1HcZg+tRo30xYy18DBwUGYFGNjY5iYmEidKu6RHSxr/tqQmzznlb1n1MlPxlBtTnMeE76hszKvLCs0vPpaOEPv39raCgx7+vTpVEZEy6xWQI8STaMC5/79+xgfHw+75mL1fpyk1oaePq9RGkp28fTaYgUaNWIqFXlJyryFk9fZ7x6ubYVD1jioZqt1z6IY3Mb+YPs4L/k7gJRj1dvQRtK+U4cl7/eOlotRFu9n/WbrQthLw0BV87WKnhc1w3utXHjcjvkkSU68c/Jjo36/HzS+ZrOJWq2GBw8e4OHDh6kj7WmSWTghNuloJnPiqtnPe2x0B01TIG2yeRo1r9vtq7xXs6CxnjTZuRNPnyOxrjbu2Kbp9PA6W28+Sw04SZIQ3VKtVoOFY7HJWF+QijpVNP5ay2cZ3mLhQT3eu9h+1nFychI3b95MLZC6sy9mtY1ikivv8N3KOyRPmHvWht0ZqXWiwuFBXdovMR6wdbXXlaww0me5AGryMN10ovlfvP5i/zSbzTAW2j8K0XljrfzM32PwZp4AJ5+xTcDRPgflR+UJL/0s7/G2+CvUFyOvLI6NnYtPrcbNw4JrtRoWFxdTu7K63S7q9XpqlS5CzWYznAHHfNQxAWw/9T1ZDKBwSJIkwXkVE3ZWc7OC2NZpVMrTxsisujvORtt4ZnJsUnrX+MzU1BQuXrwYTOk8Qa/vLRJt4z3XaDRQLpdDGk09H9PLX61kD4T1iIKaCzCFV14UTqz/aBVYvua91kpjHUh6vFisT+z7ivoalP85N9VSY72yNGb2JXdsbm5u4urVqyE9q1dXLkRZfck2NJtNzM3NpRYZW/8Yvk2lZRRr0pJNApdFRSx2Cm3OSfLBs88+G33miQruDz/8EEmSpFbypaWlEDJFhimyWYbUbrfRaDSQJINdSjEMyQpRXtOdZrEFQ82qb3/727hw4ULQSDzGPKmAtg62rL7wyj579mxIL8DDl229PM36OETBCQyEoqYXPak56WlFOjH29vawsLDgpu3NEt5ZpBAQNaJ6vR76cdQ2UagRkrCWlyoZ5D/V7nq9XoC/2Nd2gbDCQpUNXs+qd7lcDnNPYSEvpC1GnU4Hd+7cwfvvvx+UBiby4s5Mr19i9WE9bt26hbW1NXz2s5/F1NSUC5XGLHHViGPPeT4ej6gQ8MBlhXQ9Sy6P55iS4MyZM0FhPTw8jN7/xDVuIH2sEHd3WWYFhp1WdoCSJMHKykpgDpu5Dhg2ZW2ehFarFU5WpyDW1V7fmyRJ0C6pMWjIEMvXOG62wzIIKUtr8u7PeoYTf3p6OrRdTxFSGtXBkrcY0RIpUr5aMLHyYs+QqtUqzp075yaTsqSCMS+yiH24vr6ON954A6urq2HSelnq8kgPleX/WdCUFcpq7tOqsHkvrBUTg8GUvPEhXOnBLd485G+K0RPyoUCy0IStoyfkNISu2Wxic3MTd+7cSR3O4ZGWxT5KkmTICmPZNuzTa6uOB7XkVquFsbExXLx4MZVNMVYXJcqndruNH/zgByEnS7VafXoxbsVwFJcmjaolcXCWlpbCIPO4LNXcy+Wyeypzo9HAW2+9hU6ngx//8R8PA+HVB0Bq9a7Varh79y4WFhZCfW0ye1KeZ9m+hyZUtVpNTVj7vA1/q1QqmJ+fT53EoU7TUczF2KTl81YAWsHqRVZoeTaqKK8OVmjrxASyHba2zNh7NfSU76hWqyHvhCdkY7i+bbcnOPR5/dQxZbx3s9nEwcFBSETFMqx1yr7lO9UpHsPQtZ78jN3HsvQs0UplcIL87OwsVlZWgmKmmTPte2yfKS9rhNmNGzfw8ssvD9XdKnfWB+A5p/V9ti7qhLWJtrSMmZkZtFot7OzsBM27aCAF6wsMZMn169cDDATg6da4Pa3ZMrYnMIpQuTw4GbrdbqcEy8bGBm7evImf//mfB3Dk/FQN5ty5cykno6cRcoDa7TbefPNNfP/738fh4SFWV1dHqmcezc3N4c6dO+j1ekHL8wSlJV6zWcyK4p0e2TheLdNOlCLYXq/XQ7vdRrPZxOLi4pD2bRdyi4U+Lj9BjFgfHqBAbLVIOGlsTPgcNT/tK0Yk2Vh/Cg3i9jzfkn3F5+0GLo2o8Po0i6xQVLJa9m/8xm9geXk5nL6k92nYnVe2t+Dp0X5ZxGe9+6g9WyvYUwiTJElZAzy+jePjhTb2er2w+3p9fT0c1kwZwntsf3jjw3mtC3FWGOgTFdyHh4epYHZLeu24E3Jra2vodOxOp4N79+4NHV5bqVRw7dq10PFFEslQw7lw4UJITA883vC3mzdv4lvf+hbm5+fx8ssvP7ZyRyXFCIF0rL1uHiHFHMvaN/v7+7h37x7u378PAMGcZrlKHCfP3D/JYpRHfNfS0hKA9OYJ7QNOaruoaN285FHWmsly6FIQkuw7PL6jr+Hu3bs4d+5c2ID2OMnCg7YP1HrQ6yQrvDXjpJUDWZaC7VPOfyo6qvVrGVr/VquFO3fuAAAODg5w+vTp4EsAhgU/Q17X19czsXpbR8oc9efZ8mP0xJ2TOjAeI/N7nlmnRLOGE0uT5He7XczNzeG1117D5ORkiFXlWXvEx/m/J5As8UgrO3GBtLldRAP1iDDAwcFBpqPjcQmvmCORET8kZWYbqmXNTFtvK7zHx8cBICq0SVYAaHmPWxgBvpXnQUyqjXmCQeto7wHS2Lf1Z/A5T+jljTmf73Q6+M53vhOUmKIH6halz3/+89F0xioUYxr01tZWCAmmVZMVUaQQkvaLwjrMRX7//v3g56GAtKGA3k5mtXpiyiV/o+bNKJwixDnDcMlqtRqybZbL5acX43722WdT0IgOFA9HtQxuBy3WmZ6XVz3kdAgAwIMHD9DpdLC+vo5r166FMoouEgBC6BOP2+K72TaNz/YWJv20tLi4iC9/+csA4rHcWXie3kOhkYe7W02Sk//dd99Fp9PB8vJyClum5vDd7343aHVst7bXayMz4in8FINKtre30Ww2MT8/P6SJWUzW9oPX51mUt3h4/OdFd3gmuxUUVCJsO6zTm7zrWSOsmz0+j/AL0yV77cqL+oktELasVqsV2sG556V40AWa7fvKV76CpaUlfP7zn09ppZZ/tF8sns9nSIxm6XQ6OHXqFA4ODsJvLLtWqwVYlPy+vLwcLHJto/UhsRz2r81N78F+doNTq9VCo9HA5cuXw/e5ubmnF+N+9tlnU+ZBq9UKGdNU+8jCMampcAWNTSjPc82Dg8fHx0PIXNbGBxWwek+328WdO3fwzW9+E3/n7/ydofuPA5vE2lykrNg9qunlxVcrKROeOnUqaCj2PRp/7NXHE5xW87Nl2ombJAnu37+Pra0tXL582YUeYvXXeua11zqhPF7wtMKTaP0xnt3Y2EidsqMwhLcpxQo6LrCeMqNtjcEYVqvVe/UanecMqyu6Vb9cHmzSWVpawnPPPReNk1brxNNqPVnBfEE8J1T7am9vL9Rf5zb7z0IXCtHZhcUqmEXbzfFhrhpq4MBT7Jx85plnQkd0Oh2sra2h2+3izJkzqTAkkl35kiTBG2+8gb29PVy6dCk4bJToleZ2Vy2LAzYzMzMUS0tvvN1kERuger2O559/PvXejxN3HYUeF4xQLpdx5szgkCNGJ6hmXqvVcP78eQDpw1tJnNB2oui4aJ/xumo93W43HIjhwS+WR4qSd8BzHjQX+53X2EcKG3mYqo2IsYmeVAirv0atOb1HN3Osrq6mTq3RelutNYtHPIGo9SURktRFnJh3rC+TJMHS0lLwK7E8Ogc5jrr4eHX2FlG1vLhrWb9zgYmFYwJIwYNaZ7btOIoZ38Wj9eiUJBw5OTkZUoJ49MTDAXVAieFy5QGymYnm++7ubrQDvfhr1Vzs/7wnpqVZWIPvZMa3LGzuSdLjEN50nGVBCJ4ZWUTBAmbsAAATrklEQVTLV21JJ4W+iwdUbG1t4eDgYAg+i1FRH4PWZZT7HwfRcuN71ZrTDH15dVJMu9PphM0cRetAOg4PU1irBaxjnxUzz4XfxqMzLE/3Y4xSN2s5aSitQph5POQRFz7WeZRTcVg3tptwC3d2PtWCG0hPqpdeegmNRgMzMzNhIvN3dTzwuXK5jHq9jnq9HmK3s96zu7uLw8PDoUNSvclgNRk1B1VrpEZPzd0TThaLtdfyJiTLo4nI+0cVLMfVDPRZNWM5ETVnhTXT9ZNWj26XtomKOFkZIsi4WGojdOB4eTKyJrTtK8tLrB99H9SGimjdHtG6yHuuUqmg1WqFjRzl8uBUId1ezv8JK9nET5ZY37GxsYAv81P7+iT8YMsgX+qBEHb8vc0tyldqZWsuHTouJycnsbS0lFqMrDywjlGbVlZ/63a7Qz4Y28aYAkk+3d7eTjl8i4TBWtK+YvqPSqWCDz/8MPpMIcFdKpXOAfg+gC8B+N8B/FsAfxrAOoCX+/3+fqlU+mkA/xjAswD+Xr/f/0peuY8ePUppN9VqNWitvKaf7GSagt1uF6urq2GSeCueB23s7+8HAesJUIuraRlkftXMVaPxTG4tb2pqKrUxxzIqy7DhXfv7+3jvvffQ6XTwmc98xm2jbSfJ07isc9PipjoheJ+9zvvV/GcfJUmCd999FxsbG7h+/XrYtKILMvtKk/lQA+l0OikIixrc/v5+Ki5YnVxeMn/dcKTv0fFjfZrNJu7cuYP19XV89rOfPbbGbfvOW7i1/8rlcnBuA0dhh++//z7u37+PnZ0dvPLKK6m+su20lgnftb29PQTZ8De741J/9zBs2wYgze9eO7W8mHBknTlXaKX1ej1MTU1hf38/OBUnJyeHDhPW/+1CbuP+bfvshiUrc8iP+g5r6bXb7fC3vLycgnNs32m/apZCrS+/Pw6M+9cAsJR/BOD3+v3+XyuVSq8D+OulUunvA/hXAFYwONn9D0ql0lv9fr+RVaiGuxQN9yOUwjSwzA9cqVRSAsoOoOKvnPx5IVF5OHWMKbSuNPPsPdyOn4eRcWCbzSZ2dnYwNjY2pGnaxWJUTcoulGRmr+3KtAoz2b5PkiRE6wBpmMpue7YJi2weDq2nZ7Hwu52ErVYLs7Oz6HQ6aDQaqRO2VejZaCZGzNiNG6NSEV5m/8zPzwcMFhj0AZN0jY+Pp/wJsbK0b2w0BADXujyOL0b5hQ7JIhBO7Ls+q4t/uVwOUVrc/Vyv16Nlxpyr3j18Lxd0awGQaCXyhHl9d7VaxezsLDY3N4OVyHBAtcxtu3WBitXt9OnTGBuLi+dcwV0qlf4iBkL7ex9d+vMAbnz0/zcA/FUMTnj/w36/f+ejZ34fwE8ByBTcHmUxACcZ72HsL4CUGeh1GoW3YoVFTMbjmD4sUzFLYDAwXGi8cKZYOdQcl5eXgzk5Cs6X16e6YKoGnUUqtG0ZvH7p0iVcvHgx7ArT8WGdCInw99nZ2VSsbawNRerIJETlcjm6TV1pdnY2LBa1Wi3E9udRTAjlEe9l6KvNk87wsq2trdxwvax3xxzqypfHWewJS2hOoFh9ipRPpYz1obOSwtsLLdVyLXxCy5rkab+9Xi8kEKMQ5wI3OTmJN954A7dv38ZLL70UDsa2u1AXFhawvb2N3d3dIOBji6wqc4prl8tlbG1tBfkwPz9//LSupVJpAsD/AOC/xECjBoA/hYFWjY8+P2Gu6fXHRnalpLas5ooyv8fk9pqNdx2VijI7TX8V1AxFLPqeSqUSMNeY1jlKnewz1C4105n+Fpv0Gnts363ZEq1jmGVT69SNUsBA47ALny2nCHFiMq48r3+0f21edUteWXmLg0c6iYEjLbjdbgeow555SfI2A33cxD7lonvlyhUAw2GIpFi9SexzWtI80k35hPBkTGjrfQBSEWHeO/UZLo7dbjfg6MSwO50OHj58OGQ52j0m9Xo9tbeAVr33zlarhbW1Ndy7dw9f/OIXg+Y/OTmJ3/iN3wgK5kkw7r8F4F/2+/0/FOn/RwDOfPT/GQyEtF7T60NUKpVeA/AaAHziE75sjwkCxZZtvLB6s+2gZjkLs/AtvSdP4/MYlte57bZWq+H1119Hp9PBiy++GJwsWXHGnikbE1q2z1gXu/rHNOTJyUk0Go2gARIuabfbQQtWQa1CLqZhUFP0onf4zpmZGdy/fz9YQxo+RmHGiWNTaNp2eX1F2IN1UGxR+7JoIiJL1unGenjaul20bP1VQFFjzBKGHi9k8bvXHtsPRRaCO3fu4ODgAGfOnEmFy2U9q23X92mfcUGgts15HbN8ySd6qIm2C/DTAXhjq7HyrNP169exvb0d4sB1U51uo+d7tO89CInz6vbt22FhoJXZ7XaxvLyMu3fvotFoZEJjeYJ7HsCnSqXS5zFwRi4ASAD8BQC/jwFkchMDqORcqVRaANAB8OcA/BWvwH6//1UAXwWAer3eB+BOnizBq/cpxQS+vSdGKozUmTUK0cRjHalNclBPnTqFU6dOhQlZFJaItcFiw+oFL2LmU6hx8jEigPXb2trCgwcPcO7cuejiFCM1xWMTj++anp4Osd+6qYrEjSac3Lp4ZL1f7xklzK/IuGSVNwqUdRwrKYt+FHsIarUa3nvvPUxMTAxZacchLliEqezCasdQrTV1NHOxt0KbzyiRN6amplLRMOR9BjwsLy9jfX09nLKkCb70vao5W2uBY1KtVtFut3Hx4sVwZqcqUSsrK5icnMTt27fx6NGjaH9lCu5+v/9f8f9SqfQ2gP8VH0WVlEqlTQxw7y9/FFXylwG8BeAZAL/c7/fvZZUNHG3A0Q5VE0TN4iJmTwwH1OeLYMpkokajkcrWVZQ0UoFMSPPn0qVLQZNQLa1IO7LqDCCcpwcgtQDF7idRyHPRUYFHQclNUZwosTDKUYgTj7iepsRkHWlu6gSOJa+y9HFDCFmOJ49arRbm5+c/dqGqdJx47CJErVA3nR2X1PehyoFu4mLEjScHPH6OWeyWKOg9i5KKF9Pi7u3tpSJGWB5hlr29PZw/fz60xUaX0JJYWVnB8vJy2BHLRULlxYULF/C7v/u70T4rHMfd7/evyNefdH7/BgbOysL0zDPPFHJgPA5GL8LAirVtbGzg3/ybf4Nr167h6tWrbr4FfQ4Yjk3lddV89egn/m+PohoFd1dGY+QB21r0kACdNFYgEhvW8hT6IHnab6zPLb7JSAEeOaa5kFUT08VoVK3/cWu1Rd6ptLa2hjfffBNXr14NmPBxytHfRpkvj7sfzp07hw8++MBN2Rp7d6wuqmCog1FhC1sGLbDYnOP/FhNXOFQFfOw6lYl6vY7PfOYz4ZCX7373uxgfHw+8myQJFhYWUtE/mqOm2+3i5s2buH37Ni5evBg0a0IudgcykA6+sPTE83EDxZ0aeYIhb8NDzJmUdQ87T/FXJRXKWfilR96OK9YhazJYbFrrYrPMeZqpvk9jnykk1eLRjRHEpD1sWd/h1d32Le+3mjvbrsLZYrC8z8Oz7QYL7/1aj8ehkRYZ6263GwSd8kfRBcgKmKxnjyvwR6HV1VUsLy8Hzfg4FFN4lL94jTBgVts0zNTbp6FEjVp53c5bwpvkI8bXdzodLCwshL6kMCd+bf0dwNHJRYeHh8F64MKjBzDofDzxBpwfBY1i1npQCjAcTO+9w/vde/fs7CxeffXVILRozsdwVdbB08pVAB0n9CpG3sJmk/Pn9SuZiwKbZqOeSKO77ph72BOcti4xYan3qE9Arz9uyqtvUToOhFUul8MmJIbOZZWTpR3n4fp5dXlcxEW8aLlFLGtPEyePMD82c2PzdwtdFEkhS7KQZBavAkdze3Z2NnNDk/XNsE6XL18OUUIU1BsbGym/FBeobrf79KZ1PQlpx3mTP0ZFmJ73eAnn7fdRHJh6r9b3cWGeGkExqtC23nKNKuEE8c7q+1HQqLDIqM89bqKw0XjfbreLpaWlVM6NUct8WkijaD6OelnhRyhxd3cXExMTQcHQ93s7OC2vjmKhW9Iy9fhAL8rNatya5OvGjRuYnZ3F/v5+ajFS7d9LamXpqRHc1rGTxRB0mLGB6gg8CSm2RdPHgwYeN1mM7STC0XPyZN2r77JbxoEjK0EZCxjGqS2N0oYfFQ6dZSkB2afIjCKgyEMKrRGG4v9ZGujj7AcPnnocpHDESerkXSdcZr+Pj49jb28vta8gD6J7nORBoN4GHxtvzp27TDFLmpycDLCJWuVA+qQej54KjLtSqYTgewrgmPbEML39/f2QJW5iYiLlgc5i1hjWqt/b7TY2NzdT96vGOQqzKnPru6hVUCiOurFEKVYfMloshwu1aeJ4nuOPGCaFUMzPYOvvmb22bh8nqdmc5zMA0uOh0BGFbN7uwxhxG3TR9hdZBPN8P1mCsagllve75tPJeteoZWtoHz/pa+F3jdlWuWChOc8HoilzgXS+kKw56LXHWtBWtpDv9HSfxcXFVBIubnyjVdvr9bCysuLONaWnQuPm4LTbbXQ6HczNzWU6PP6/9s4txKoqjOO/v3LIPCV2U0pBCC9kRBe6kQ8RakFkmD2YEEFlF/Kp9yIhioLooYcgfYgKkohoHrKrlUG3gQrJS2qZlp2i0kbTg1rZ6mGtNa7Z7DNzxs7MPuvw/WAzM/vsOfv77/3tb6/1rVt0vrTRrJNv22azObhqBvhuXI1GY3AFkU6ROtZYlxbKKLbkp4wUoKKjFx0sOm+tVhuxV0urc/7fGke7FB/stIEp7dcer89o71GtVhtcQzMtQf5fynKz6XUvHhtpt8G7Xcr6So/0/WW1urLjUnvifNmx7aUTDazNZpNGowEwOLPfaChryCySxqk4z0qqK11SMTJjxgzq9Tp9fX0cPHiw5fkrD9xFZzt27NhgK+twDYHFnGsscXfi4Zg6depgFWb37t1s2rRpcKauTgfvsWK4tEDxYW5n9F1KzIPH3GNssIzXP/bNTmf2O5lGrHaOPdn73Wo0XRwg0Ww2GRgYGDKFQru2pde06MMn27hYZn87ffTHkpECdtGWtNdFMZ1QvL5pjQdO9MoYrqfISKQFg7jFJePGgvQ8RRuKHSnSWnmj0aC/v5/9+/e3/O7WM3WPM0WHLmv0K3tbxXkcOtmtK77dwfdXjaWuOMlMO98xEvHhHo+S9nDnKQ7TbYcYnPfs2TOkLy34+7Zz507Wrl3L1q1bh/xfWk2Pv5eV5Mu6WLYK0mVpguHuQSu9cfRo9Lt6vT44m2RMF7WTZkjtKqu1tPv/ZUEv/Rm15ECsyaS/R78pTk7VyifiUPg4fUTx85RiG03avTTGmVhbHG3qM7WzFenLKT4nhw8fLvXL9NrEvum1Wo3ly5cPWwvQcF1OxhpJh4AdlRnQec4G9lVtRIcwLd1JL2mB3tLTaS2znHOl0bvqVMkO59zlFdvQMSR90St6TEt30ktaoLf0jKeWrkmVGIZhGO1hgdswDCMzqg7cayo+f6fpJT2mpTvpJS3QW3rGTUuljZOGYRjG6Km6xG0YhmGMksoCt6THJDUk7ZK0oCo7RoukMyVtkLQ6/D1X0hZJP0t6XtKEsH+VpJ8k/ShpWaVGt0DSaknbw3Zb5lqekvSdpG2SbpE0TdJnwcfWS5ocjlsm6YegZ1XVdrdC0kxJhySt7AEtm8O92S5pY856JN0jaWew88HKtDjnxn3DrxT/PXAqcBPwIyFt080bfq3MX4G/gdVh38fA/cBEoB+4G5iDX3NzGnAR0AROr9r+gpbrgN3AJODCYONXmWq5EdgWtCwCfsev1vRE+PxV4FHg9GD/fOBc4CAwp2r7W2h6PVz3lTlrAerAYaCW7MtSD3AJ8E3QdB7wLLCuCi1VlbgXAe86544Ab+E7rs+ryJa2cc6tcc5Nx6+xSXi7XgP0OeeOA33AYmAh0O+c+805txn4Cei2WkUdeMY5dxTvZJPxjpmjlj3AvUHLLPwgiEV4DeBXZlqMt3uvc26bc+4X/LqpC8ff3OGRdDPwD35pQMhYC3AZ3r82hNrcCvLVcyu+kPk28A7wAb4ANO5aqhqAcxZhhJFz7rikP4HyJd+7mzMAcWJF+wG8jrMYusp93N81OOfeAJA0A3gF2IB/oHLUsg1A0nP4WtHDwCNkqEXSacCTwPXAS2F3anc2WgITgBfx9+Ri4EN8TTtHPdOBC/Avo9n4Z+YUKtBSVYn7D3zQI+RRpzBUaC4cABxBS/g5QKKvsL+rCCW7r4EvgaVkqkXS+ZJmOufuw6d2HsJXz7PTgn/hvOCc25vsS+3OSQvAFvyC4kedc/34tMFf5KnnAPCJc26fc+5zvI/9SwVaqgrc7wGLJU0CbgD2A9srsuWkcc41gU+BJeEFdDNe2/vAVZLOkXQhMBOfC+8aJF0KvAzc4Zx7IGctwApgbbD7EHAceBNYEj5fitfyCTBT0jxJ04Gr8fq6ibnAXZK2A1fic6Z/k6cWgDuB1yRNlDQbX9reQJ56PgKukFSXNB+fy/6AKrRUmOh/HJ8v/Q5YUHXDwyht38iJxsm5+FJFA3gemBD2rwL2Aj8Ay6q2uUTD08AR/AszbtdmqmUKvjHv26DjAXxj6mfBx9YDk8Oxy4KOvcCqqm1vw89W5qwFH6jXAbuAzfjglqUefFr0KXyeexdwe1VabACOYRhGZtgAHMMwjMywwG0YhpEZFrgNwzAywwK3YRhGZljgNgzDyAwL3IZhGJlhgdswDCMzLHAbhmFkxn9jTlYgwGj7dgAAAABJRU5ErkJggg==
+"/>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>Before we identify features, we need to give <code>trackpy</code> a chance to "warm up" and compile certain functions, if it hasn't done so already. So we'll find features in just 2 frames:</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [7]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">f2</span> <span class="o">=</span> <span class="n">tp</span><span class="o">.</span><span class="n">batch</span><span class="p">(</span><span class="n">frames_preload</span><span class="p">[:</span><span class="mi">3</span><span class="p">],</span> <span class="mi">11</span><span class="p">,</span> <span class="n">minmass</span><span class="o">=</span><span class="mi">100</span><span class="p">,</span> <span class="n">invert</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+<span class="n">_</span> <span class="o">=</span> <span class="n">tp</span><span class="o">.</span><span class="n">batch</span><span class="p">(</span><span class="n">frames_preload</span><span class="p">[:</span><span class="mi">3</span><span class="p">],</span> <span class="mi">11</span><span class="p">,</span> <span class="n">minmass</span><span class="o">=</span><span class="mi">100</span><span class="p">,</span> <span class="n">invert</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">characterize</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>Frame 2: 494 features
+</pre>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h3 id="Timing">Timing<a class="anchor-link" href="#Timing">¶</a></h3><p>Let's find out — precisely — how long it takes to find features in a single frame. You'll notice that the following cell begins with the line <code>%%timeit</code>. This is an example of a <em>cell magic</em>, which gives IPython special instructions about how to run the rest of the cell.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [8]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="o">%%time</span>it
+<span class="n">f1</span> <span class="o">=</span> <span class="n">tp</span><span class="o">.</span><span class="n">batch</span><span class="p">(</span><span class="n">frames_preload</span><span class="p">[:</span><span class="mi">1</span><span class="p">],</span> <span class="mi">11</span><span class="p">,</span> <span class="n">minmass</span><span class="o">=</span><span class="mf">0.03</span><span class="p">,</span> <span class="n">invert</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>Frame 0: 535 features
+38.9 ms ± 4.83 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)
+</pre>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><code>%%timeit</code> runs the same code multiple times and returns a somewhat accurate measurement of execution time. We can use it to see how much faster we can find features in this image when we turn off centroid refinement and feature characterization:</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [9]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="o">%%time</span>it
+<span class="n">f1</span> <span class="o">=</span> <span class="n">tp</span><span class="o">.</span><span class="n">batch</span><span class="p">(</span><span class="n">frames_preload</span><span class="p">[:</span><span class="mi">1</span><span class="p">],</span> <span class="mi">11</span><span class="p">,</span> <span class="n">minmass</span><span class="o">=</span><span class="mf">0.03</span><span class="p">,</span> <span class="n">invert</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> 
+              <span class="n">max_iterations</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">characterize</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>Frame 0: 538 features
+25.9 ms ± 2.92 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)
+</pre>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>One thing to note is that the ratio of features to pixels is rather low in this image. If you were finding features in a dense packing of particles, the timing difference could be much more significant.</p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h3 id="Profiling">Profiling<a class="anchor-link" href="#Profiling">¶</a></h3><p>Next, we'll try to get a sense of what's taking so long. The <code>%%prun</code> cell magic instructs IPython to run the rest of the cell's code using a <em>profiler</em>.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [10]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="o">%</span><span class="k">prun</span> f = tp.batch(frames_preload, 11, minmass=0.03, invert=True)
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>Frame 49: 608 features
+ </pre>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>When execution is complete, a pager will pop up in the lower portion of the notebook window. This is the profiler output. We reproduce a portion of it here. Your results will depend on your data and the computer you are using.</p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<pre><code>         449300 function calls (443235 primitive calls) in 1.726 seconds
+
+   Ordered by: internal time
+
+   ncalls  tottime  percall  cumtime  percall filename:lineno(function)
+       50    0.268    0.005    0.268    0.005 {built-in method scipy.ndimage._nd_image.binary_erosion}
+      100    0.233    0.002    0.233    0.002 {built-in method scipy.ndimage._nd_image.correlate1d}
+      100    0.229    0.002    0.229    0.002 {built-in method scipy.ndimage._nd_image.min_or_max_filter1d}
+      100    0.117    0.001    0.117    0.001 {built-in method scipy.ndimage._nd_image.uniform_filter1d}
+      200    0.115    0.001    0.115    0.001 {method 'nonzero' of 'numpy.ndarray' objects}
+      200    0.066    0.000    0.066    0.000 {built-in method numpy.where}
+     1852    0.041    0.000    0.041    0.000 {method 'reduce' of 'numpy.ufunc' objects}
+       50    0.035    0.001    0.036    0.001 preprocessing.py:145(invert_image)
+       50    0.029    0.001    0.029    0.001 center_of_mass.py:362(_numba_refine_2D_c)
+       50    0.028    0.001    0.028    0.001 {method 'partition' of 'numpy.ndarray' objects}
+       50    0.026    0.001    0.182    0.004 find.py:66(percentile_threshold)
+       50    0.025    0.000    0.438    0.009 preprocessing.py:86(bandpass)
+5646/5396    0.024    0.000    0.028    0.000 {built-in method numpy.array}
+      884    0.020    0.000    0.020    0.000 {method 'acquire' of '_thread.lock' objects}
+    64626    0.018    0.000    0.032    0.000 {built-in method builtins.isinstance}
+       50    0.017    0.000    0.481    0.010 find.py:75(grey_dilation)
+       50    0.017    0.000    0.306    0.006 uncertainty.py:12(measure_noise)
+       50    0.015    0.000    0.015    0.000 {method 'query_pairs' of 'scipy.spatial.ckdtree.cKDTree' objects}
+    28360    0.009    0.000    0.012    0.000 generic.py:7(_check)
+       50    0.009    0.000    0.044    0.001 find.py:19(where_close)
+      400    0.008    0.000    0.008    0.000 socket.py:342(send)
+      350    0.008    0.000    0.008    0.000 {method 'astype' of 'numpy.ndarray' objects}
+      100    0.008    0.000    0.031    0.000 preprocessing.py:180(convert_to_int)
+       50    0.008    0.000    0.008    0.000 {method 'clip' of 'numpy.ndarray' objects}
+  500/400    0.008    0.000    0.049    0.000 base.py:277(__new__)
+    45270    0.008    0.000    0.009    0.000 {built-in method builtins.getattr}
+       50    0.007    0.000    1.639    0.033 feature.py:208(locate)
+</code></pre>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>This is a record of how the computer spent its time while finding features. The various numbers are explained in the <a href="http://docs.python.org/2/library/profile.html#instant-user-s-manual">documentation for the Python <code>profiler</code> module</a>. You shouldn't try to understand every line, but you can get some idea of which functions are called for each frame (multiples of 50), and which are called for each particle. Note that <code>{functions in braces}</code> are written in C, not Python, are not part of <code>trackpy</code>, and tend to be less user-serviceable. (They are typically <code>scipy</code> or <code>numpy</code> functions.)</p>
+<p>Now let's look at the linking step. Once again, we'll prime <code>trackpy</code>, to avoid distorting our results with one-time setup code:</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [11]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Use a large search_range, to be sure that numba subnet code is compiled and used.</span>
+<span class="n">t1</span> <span class="o">=</span> <span class="n">tp</span><span class="o">.</span><span class="n">link</span><span class="p">(</span><span class="n">f2</span><span class="p">,</span> <span class="mi">5</span><span class="p">,</span> <span class="n">memory</span><span class="o">=</span><span class="mi">3</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>Frame 2: 494 trajectories present.
+</pre>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>To make sure that the subnet linker gets a workout, let's use a large <code>search_range</code>:</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [12]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="o">%%prun</span>
+<span class="n">t</span> <span class="o">=</span> <span class="n">tp</span><span class="o">.</span><span class="n">link</span><span class="p">(</span><span class="n">f</span><span class="p">,</span> <span class="mi">15</span><span class="p">,</span> <span class="n">memory</span><span class="o">=</span><span class="mi">3</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>Frame 49: 608 trajectories present.
+ </pre>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<pre><code>         1046100 function calls (1035220 primitive calls) in 1.267 seconds
+
+   Ordered by: internal time
+
+   ncalls  tottime  percall  cumtime  percall filename:lineno(function)
+     2171    0.115    0.000    0.195    0.000 subnetlinker.py:177(numba_link)
+    29643    0.088    0.000    0.105    0.000 utils.py:109(__init__)
+       49    0.082    0.002    0.288    0.006 subnet.py:358(compute)
+       49    0.077    0.002    0.077    0.002 subnet.py:348(reset)
+31459/31458    0.067    0.000    0.068    0.000 {built-in method numpy.array}
+14757/5012    0.063    0.000    0.069    0.000 subnetlinker.py:50(do_recur)
+    52733    0.049    0.000    0.059    0.000 subnet.py:238(assign_subnet)
+    35275    0.046    0.000    0.046    0.000 linking.py:310(_sort_key_spl_dpl)
+       49    0.042    0.001    0.047    0.001 {method 'query' of 'scipy.spatial.ckdtree.cKDTree' objects}
+       49    0.040    0.001    0.431    0.009 linking.py:519(assign_links)
+    16315    0.038    0.000    0.352    0.000 subnetlinker.py:430(subnet_linker_numba)
+       50    0.029    0.001    0.134    0.003 utils.py:29(&lt;listcomp&gt;)
+       49    0.028    0.001    0.116    0.002 linking.py:537(apply_links)
+       49    0.026    0.001    0.072    0.001 {built-in method builtins.sorted}
+    37548    0.023    0.000    0.034    0.000 {method 'sort' of 'list' objects}
+     2171    0.023    0.000    0.023    0.000 subnetlinker.py:241(_numba_subnet_norecur)
+      834    0.020    0.000    0.020    0.000 {method 'acquire' of '_thread.lock' objects}
+       98    0.017    0.000    0.092    0.001 subnet.py:122(rebuild)
+     5012    0.017    0.000    0.099    0.000 subnetlinker.py:28(__init__)
+       49    0.017    0.000    1.067    0.022 linking.py:511(next_level)
+</code></pre>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>Note the time spent on <code>numba_link</code> at the beginning of the report, and a little farther down, the large <code>cumtime</code> for <code>subnet.py:358(compute)</code> (which includes the <code>numba_link</code> time). These are parts of the subnet resolution code referred to above.</p>
+<p>In this example, the <code>cumtime</code> for subnets is a large enough fraction of the total linking time that you may want to look at ways to reduce it. The tutorials on Prediction, Advanced Linking, and Adaptive Linking offer some methods for reducing <code>search_range</code> while still obtaining good or better results.</p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h3 id="Neighbor-finding-strategy:-KDTree">Neighbor-finding strategy: KDTree<a class="anchor-link" href="#Neighbor-finding-strategy:-KDTree">¶</a></h3><p>An important operation in tracking (i.e. linking) is finding all the particles that are close to a certain point in space. <code>trackpy</code> has two ways of doing this:</p>
+<ul>
+<li>A KDTree, which only handles more standard cases (e.g. Euclidean geometries) and is written in C. (This is the default.)</li>
+<li>A BTree ("ball tree") based on the scikit-learn package. It is very extensible but tends to be slower. The <code>dist_func</code> argument to <code>link()</code> measures distances in your custom coordinate space.</li>
+</ul>
+<p>The method is set by the <code>neighbor_strategy</code> argument to the various linking functions, which again defaults to KDTree. The KDTree is a standard part of <code>scipy</code>; if you can run <code>trackpy</code> at all, it is enabled.</p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<hr/>
+<p>Well, I hope you've enjoyed this brief tour of <code>trackpy</code> performance. Just remember that if you come up with new ways to improve performance, the <code>trackpy</code> community will be interested!</p>
+</div>
+</div>
+</div>
+</div>
+</main>
+</body>
+</html>
+</section>
+
+
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+      
+  </div>
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+  <div class="container">
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+      <a href="#">Back to top</a>
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+  <a href="../_sources/tutorial/performance.rst.txt"
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+      
+    </p>
+    <p>
+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
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diff --git a/trackpy/v0.6.2/tutorial/prediction.html b/trackpy/v0.6.2/tutorial/prediction.html
new file mode 100644
index 00000000..af5bebc8
--- /dev/null
+++ b/trackpy/v0.6.2/tutorial/prediction.html
@@ -0,0 +1,8275 @@
+<!DOCTYPE html>
+
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
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+    <title>prediction &#8212; trackpy 0.6.2 documentation</title>
+    <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
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+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1 current"><a class="current reference internal" href="#">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">prediction</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
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+  <input type="text" name="q" class="form-control" placeholder="Search" />
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+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="prediction">
+<h1>prediction<a class="headerlink" href="#prediction" title="Permalink to this heading">¶</a></h1>
+<!DOCTYPE html>
+
+<html lang="en">
+<head><meta charset="utf-8"/>
+<meta content="width=device-width, initial-scale=1.0" name="viewport"/>
+<title>prediction</title><script src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.1.10/require.min.js"></script>
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+}
+
+.lm-TabBar[data-orientation='vertical'] > .lm-TabBar-content {
+  flex-direction: column;
+}
+
+.lm-TabBar-tab {
+  display: flex;
+  flex-direction: row;
+  box-sizing: border-box;
+  overflow: hidden;
+  touch-action: none; /* Disable native Drag/Drop */
+}
+
+.lm-TabBar-tabIcon,
+.lm-TabBar-tabCloseIcon {
+  flex: 0 0 auto;
+}
+
+.lm-TabBar-tabLabel {
+  flex: 1 1 auto;
+  overflow: hidden;
+  white-space: nowrap;
+}
+
+.lm-TabBar-tabInput {
+  user-select: all;
+  width: 100%;
+  box-sizing: border-box;
+}
+
+.lm-TabBar-tab.lm-mod-hidden {
+  display: none !important;
+}
+
+.lm-TabBar-addButton.lm-mod-hidden {
+  display: none !important;
+}
+
+.lm-TabBar.lm-mod-dragging .lm-TabBar-tab {
+  position: relative;
+}
+
+.lm-TabBar.lm-mod-dragging[data-orientation='horizontal'] .lm-TabBar-tab {
+  left: 0;
+  transition: left 150ms ease;
+}
+
+.lm-TabBar.lm-mod-dragging[data-orientation='vertical'] .lm-TabBar-tab {
+  top: 0;
+  transition: top 150ms ease;
+}
+
+.lm-TabBar.lm-mod-dragging .lm-TabBar-tab.lm-mod-dragging {
+  transition: none;
+}
+
+.lm-TabBar-tabLabel .lm-TabBar-tabInput {
+  user-select: all;
+  width: 100%;
+  box-sizing: border-box;
+  background: inherit;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-TabPanel-tabBar {
+  z-index: 1;
+}
+
+.lm-TabPanel-stackedPanel {
+  z-index: 0;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Collapse {
+  display: flex;
+  flex-direction: column;
+  align-items: stretch;
+}
+
+.jp-Collapse-header {
+  padding: 1px 12px;
+  background-color: var(--jp-layout-color1);
+  border-bottom: solid var(--jp-border-width) var(--jp-border-color2);
+  color: var(--jp-ui-font-color1);
+  cursor: pointer;
+  display: flex;
+  align-items: center;
+  font-size: var(--jp-ui-font-size0);
+  font-weight: 600;
+  text-transform: uppercase;
+  user-select: none;
+}
+
+.jp-Collapser-icon {
+  height: 16px;
+}
+
+.jp-Collapse-header-collapsed .jp-Collapser-icon {
+  transform: rotate(-90deg);
+  margin: auto 0;
+}
+
+.jp-Collapser-title {
+  line-height: 25px;
+}
+
+.jp-Collapse-contents {
+  padding: 0 12px;
+  background-color: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  overflow: auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/* This file was auto-generated by ensureUiComponents() in @jupyterlab/buildutils */
+
+/**
+ * (DEPRECATED) Support for consuming icons as CSS background images
+ */
+
+/* Icons urls */
+
+:root {
+  --jp-icon-add-above: url(data:image/svg+xml;base64,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);
+  --jp-icon-add-below: url(data:image/svg+xml;base64,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);
+  --jp-icon-add: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE5IDEzaC02djZoLTJ2LTZINXYtMmg2VjVoMnY2aDZ2MnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-bell: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE2IDE2IiB2ZXJzaW9uPSIxLjEiPgogICA8cGF0aCBjbGFzcz0ianAtaWNvbjIganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjMzMzMzMzIgogICAgICBkPSJtOCAwLjI5Yy0xLjQgMC0yLjcgMC43My0zLjYgMS44LTEuMiAxLjUtMS40IDMuNC0xLjUgNS4yLTAuMTggMi4yLTAuNDQgNC0yLjMgNS4zbDAuMjggMS4zaDVjMC4wMjYgMC42NiAwLjMyIDEuMSAwLjcxIDEuNSAwLjg0IDAuNjEgMiAwLjYxIDIuOCAwIDAuNTItMC40IDAuNi0xIDAuNzEtMS41aDVsMC4yOC0xLjNjLTEuOS0wLjk3LTIuMi0zLjMtMi4zLTUuMy0wLjEzLTEuOC0wLjI2LTMuNy0xLjUtNS4yLTAuODUtMS0yLjItMS44LTMuNi0xLjh6bTAgMS40YzAuODggMCAxLjkgMC41NSAyLjUgMS4zIDAuODggMS4xIDEuMSAyLjcgMS4yIDQuNCAwLjEzIDEuNyAwLjIzIDMuNiAxLjMgNS4yaC0xMGMxLjEtMS42IDEuMi0zLjQgMS4zLTUuMiAwLjEzLTEuNyAwLjMtMy4zIDEuMi00LjQgMC41OS0wLjcyIDEuNi0xLjMgMi41LTEuM3ptLTAuNzQgMTJoMS41Yy0wLjAwMTUgMC4yOCAwLjAxNSAwLjc5LTAuNzQgMC43OS0wLjczIDAuMDAxNi0wLjcyLTAuNTMtMC43NC0wLjc5eiIgLz4KPC9zdmc+Cg==);
+  --jp-icon-bug-dot: url(data:image/svg+xml;base64,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);
+  --jp-icon-bug: url(data:image/svg+xml;base64,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);
+  --jp-icon-build: url(data:image/svg+xml;base64,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);
+  --jp-icon-caret-down-empty-thin: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwIDIwIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwb2x5Z29uIGNsYXNzPSJzdDEiIHBvaW50cz0iOS45LDEzLjYgMy42LDcuNCA0LjQsNi42IDkuOSwxMi4yIDE1LjQsNi43IDE2LjEsNy40ICIvPgoJPC9nPgo8L3N2Zz4K);
+  --jp-icon-caret-down-empty: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik01LjIsNS45TDksOS43bDMuOC0zLjhsMS4yLDEuMmwtNC45LDVsLTQuOS01TDUuMiw1Ljl6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-caret-down: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik01LjIsNy41TDksMTEuMmwzLjgtMy44SDUuMnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-caret-left: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwYXRoIGQ9Ik0xMC44LDEyLjhMNy4xLDlsMy44LTMuOGwwLDcuNkgxMC44eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-caret-right: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik03LjIsNS4yTDEwLjksOWwtMy44LDMuOFY1LjJINy4yeiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-caret-up-empty-thin: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwIDIwIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwb2x5Z29uIGNsYXNzPSJzdDEiIHBvaW50cz0iMTUuNCwxMy4zIDkuOSw3LjcgNC40LDEzLjIgMy42LDEyLjUgOS45LDYuMyAxNi4xLDEyLjYgIi8+Cgk8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-caret-up: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwYXRoIGQ9Ik01LjIsMTAuNUw5LDYuOGwzLjgsMy44SDUuMnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-case-sensitive: url(data:image/svg+xml;base64,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);
+  --jp-icon-check: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIj4KICAgIDxwYXRoIGQ9Ik05IDE2LjE3TDQuODMgMTJsLTEuNDIgMS40MUw5IDE5IDIxIDdsLTEuNDEtMS40MXoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-circle-empty: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyIDJDNi40NyAyIDIgNi40NyAyIDEyczQuNDcgMTAgMTAgMTAgMTAtNC40NyAxMC0xMFMxNy41MyAyIDEyIDJ6bTAgMThjLTQuNDEgMC04LTMuNTktOC04czMuNTktOCA4LTggOCAzLjU5IDggOC0zLjU5IDgtOCA4eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-circle: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMTggMTgiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPGNpcmNsZSBjeD0iOSIgY3k9IjkiIHI9IjgiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-clear: url(data:image/svg+xml;base64,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);
+  --jp-icon-close: url(data:image/svg+xml;base64,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);
+  --jp-icon-code-check: url(data:image/svg+xml;base64,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);
+  --jp-icon-code: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjIiIGhlaWdodD0iMjIiIHZpZXdCb3g9IjAgMCAyOCAyOCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CgkJPHBhdGggZD0iTTExLjQgMTguNkw2LjggMTRMMTEuNCA5LjRMMTAgOEw0IDE0TDEwIDIwTDExLjQgMTguNlpNMTYuNiAxOC42TDIxLjIgMTRMMTYuNiA5LjRMMTggOEwyNCAxNEwxOCAyMEwxNi42IDE4LjZWMTguNloiLz4KCTwvZz4KPC9zdmc+Cg==);
+  --jp-icon-collapse-all: url(data:image/svg+xml;base64,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);
+  --jp-icon-console: url(data:image/svg+xml;base64,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);
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+  --jp-icon-copyright: url(data:image/svg+xml;base64,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);
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+  --jp-icon-delete: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAyNCAyNCIgd2lkdGg9IjE2cHgiIGhlaWdodD0iMTZweCI+CiAgICA8cGF0aCBkPSJNMCAwaDI0djI0SDB6IiBmaWxsPSJub25lIiAvPgogICAgPHBhdGggY2xhc3M9ImpwLWljb24zIiBmaWxsPSIjNjI2MjYyIiBkPSJNNiAxOWMwIDEuMS45IDIgMiAyaDhjMS4xIDAgMi0uOSAyLTJWN0g2djEyek0xOSA0aC0zLjVsLTEtMWgtNWwtMSAxSDV2MmgxNFY0eiIgLz4KPC9zdmc+Cg==);
+  --jp-icon-download: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE5IDloLTRWM0g5djZINWw3IDcgNy03ek01IDE4djJoMTR2LTJINXoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-duplicate: url(data:image/svg+xml;base64,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);
+  --jp-icon-edit: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTMgMTcuMjVWMjFoMy43NUwxNy44MSA5Ljk0bC0zLjc1LTMuNzVMMyAxNy4yNXpNMjAuNzEgNy4wNGMuMzktLjM5LjM5LTEuMDIgMC0xLjQxbC0yLjM0LTIuMzRjLS4zOS0uMzktMS4wMi0uMzktMS40MSAwbC0xLjgzIDEuODMgMy43NSAzLjc1IDEuODMtMS44M3oiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-ellipses: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPGNpcmNsZSBjeD0iNSIgY3k9IjEyIiByPSIyIi8+CiAgICA8Y2lyY2xlIGN4PSIxMiIgY3k9IjEyIiByPSIyIi8+CiAgICA8Y2lyY2xlIGN4PSIxOSIgY3k9IjEyIiByPSIyIi8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-error: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KPGcgY2xhc3M9ImpwLWljb24zIiBmaWxsPSIjNjE2MTYxIj48Y2lyY2xlIGN4PSIxMiIgY3k9IjE5IiByPSIyIi8+PHBhdGggZD0iTTEwIDNoNHYxMmgtNHoiLz48L2c+CjxwYXRoIGZpbGw9Im5vbmUiIGQ9Ik0wIDBoMjR2MjRIMHoiLz4KPC9zdmc+Cg==);
+  --jp-icon-expand-all: url(data:image/svg+xml;base64,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);
+  --jp-icon-extension: url(data:image/svg+xml;base64,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);
+  --jp-icon-fast-forward: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIyNCIgaGVpZ2h0PSIyNCIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTQgMThsOC41LTZMNCA2djEyem05LTEydjEybDguNS02TDEzIDZ6Ii8+CiAgICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-file-upload: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTkgMTZoNnYtNmg0bC03LTctNyA3aDR6bS00IDJoMTR2Mkg1eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-file: url(data:image/svg+xml;base64,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);
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+  --jp-icon-filter-list: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEwIDE4aDR2LTJoLTR2MnpNMyA2djJoMThWNkgzem0zIDdoMTJ2LTJINnYyeiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-filter: url(data:image/svg+xml;base64,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);
+  --jp-icon-folder-favorite: url(data:image/svg+xml;base64,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);
+  --jp-icon-folder: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMTAgNEg0Yy0xLjEgMC0xLjk5LjktMS45OSAyTDIgMThjMCAxLjEuOSAyIDIgMmgxNmMxLjEgMCAyLS45IDItMlY4YzAtMS4xLS45LTItMi0yaC04bC0yLTJ6Ii8+Cjwvc3ZnPgo=);
+  --jp-icon-home: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIGhlaWdodD0iMjRweCIgdmlld0JveD0iMCAwIDI0IDI0IiB3aWR0aD0iMjRweCIgZmlsbD0iIzAwMDAwMCI+CiAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPjxwYXRoIGNsYXNzPSJqcC1pY29uMyBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xMCAyMHYtNmg0djZoNXYtOGgzTDEyIDMgMiAxMmgzdjh6Ii8+Cjwvc3ZnPgo=);
+  --jp-icon-html5: url(data:image/svg+xml;base64,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);
+  --jp-icon-image: url(data:image/svg+xml;base64,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);
+  --jp-icon-info: url(data:image/svg+xml;base64,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);
+  --jp-icon-inspector: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaW5zcGVjdG9yLWljb24tY29sb3IganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMjAgNEg0Yy0xLjEgMC0xLjk5LjktMS45OSAyTDIgMThjMCAxLjEuOSAyIDIgMmgxNmMxLjEgMCAyLS45IDItMlY2YzAtMS4xLS45LTItMi0yem0tNSAxNEg0di00aDExdjR6bTAtNUg0VjloMTF2NHptNSA1aC00VjloNHY5eiIvPgo8L3N2Zz4K);
+  --jp-icon-json: url(data:image/svg+xml;base64,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);
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+  --jp-icon-jupyter-favicon: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMTUyIiBoZWlnaHQ9IjE2NSIgdmlld0JveD0iMCAwIDE1MiAxNjUiIHZlcnNpb249IjEuMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgPGcgY2xhc3M9ImpwLWp1cHl0ZXItaWNvbi1jb2xvciIgZmlsbD0iI0YzNzcyNiI+CiAgICA8cGF0aCB0cmFuc2Zvcm09InRyYW5zbGF0ZSgwLjA3ODk0NywgMTEwLjU4MjkyNykiIGQ9Ik03NS45NDIyODQyLDI5LjU4MDQ1NjEgQzQzLjMwMjM5NDcsMjkuNTgwNDU2MSAxNC43OTY3ODMyLDE3LjY1MzQ2MzQgMCwwIEM1LjUxMDgzMjExLDE1Ljg0MDY4MjkgMTUuNzgxNTM4OSwyOS41NjY3NzMyIDI5LjM5MDQ5NDcsMzkuMjc4NDE3MSBDNDIuOTk5Nyw0OC45ODk4NTM3IDU5LjI3MzcsNTQuMjA2NzgwNSA3NS45NjA1Nzg5LDU0LjIwNjc4MDUgQzkyLjY0NzQ1NzksNTQuMjA2NzgwNSAxMDguOTIxNDU4LDQ4Ljk4OTg1MzcgMTIyLjUzMDY2MywzOS4yNzg0MTcxIEMxMzYuMTM5NDUzLDI5LjU2Njc3MzIgMTQ2LjQxMDI4NCwxNS44NDA2ODI5IDE1MS45MjExNTgsMCBDMTM3LjA4Nzg2OCwxNy42NTM0NjM0IDEwOC41ODI1ODksMjkuNTgwNDU2MSA3NS45NDIyODQyLDI5LjU4MDQ1NjEgTDc1Ljk0MjI4NDIsMjkuNTgwNDU2MSBaIiAvPgogICAgPHBhdGggdHJhbnNmb3JtPSJ0cmFuc2xhdGUoMC4wMzczNjgsIDAuNzA0ODc4KSIgZD0iTTc1Ljk3ODQ1NzksMjQuNjI2NDA3MyBDMTA4LjYxODc2MywyNC42MjY0MDczIDEzNy4xMjQ0NTgsMzYuNTUzNDQxNSAxNTEuOTIxMTU4LDU0LjIwNjc4MDUgQzE0Ni40MTAyODQsMzguMzY2MjIyIDEzNi4xMzk0NTMsMjQuNjQwMTMxNyAxMjIuNTMwNjYzLDE0LjkyODQ4NzggQzEwOC45MjE0NTgsNS4yMTY4NDM5IDkyLjY0NzQ1NzksMCA3NS45NjA1Nzg5LDAgQzU5LjI3MzcsMCA0Mi45OTk3LDUuMjE2ODQzOSAyOS4zOTA0OTQ3LDE0LjkyODQ4NzggQzE1Ljc4MTUzODksMjQuNjQwMTMxNyA1LjUxMDgzMjExLDM4LjM2NjIyMiAwLDU0LjIwNjc4MDUgQzE0LjgzMzA4MTYsMzYuNTg5OTI5MyA0My4zMzg1Njg0LDI0LjYyNjQwNzMgNzUuOTc4NDU3OSwyNC42MjY0MDczIEw3NS45Nzg0NTc5LDI0LjYyNjQwNzMgWiIgLz4KICA8L2c+Cjwvc3ZnPgo=);
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+  --jp-icon-kernel: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGNsYXNzPSJqcC1pY29uMiIgZmlsbD0iIzYxNjE2MSIgZD0iTTE1IDlIOXY2aDZWOXptLTIgNGgtMnYtMmgydjJ6bTgtMlY5aC0yVjdjMC0xLjEtLjktMi0yLTJoLTJWM2gtMnYyaC0yVjNIOXYySDdjLTEuMSAwLTIgLjktMiAydjJIM3YyaDJ2MkgzdjJoMnYyYzAgMS4xLjkgMiAyIDJoMnYyaDJ2LTJoMnYyaDJ2LTJoMmMxLjEgMCAyLS45IDItMnYtMmgydi0yaC0ydi0yaDJ6bS00IDZIN1Y3aDEwdjEweiIvPgo8L3N2Zz4K);
+  --jp-icon-keyboard: url(data:image/svg+xml;base64,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);
+  --jp-icon-launch: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMzIgMzIiIHdpZHRoPSIzMiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIj4KICAgIDxwYXRoIGQ9Ik0yNiwyOEg2YTIuMDAyNywyLjAwMjcsMCwwLDEtMi0yVjZBMi4wMDI3LDIuMDAyNywwLDAsMSw2LDRIMTZWNkg2VjI2SDI2VjE2aDJWMjZBMi4wMDI3LDIuMDAyNywwLDAsMSwyNiwyOFoiLz4KICAgIDxwb2x5Z29uIHBvaW50cz0iMjAgMiAyMCA0IDI2LjU4NiA0IDE4IDEyLjU4NiAxOS40MTQgMTQgMjggNS40MTQgMjggMTIgMzAgMTIgMzAgMiAyMCAyIi8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-launcher: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMTkgMTlINVY1aDdWM0g1YTIgMiAwIDAwLTIgMnYxNGEyIDIgMCAwMDIgMmgxNGMxLjEgMCAyLS45IDItMnYtN2gtMnY3ek0xNCAzdjJoMy41OWwtOS44MyA5LjgzIDEuNDEgMS40MUwxOSA2LjQxVjEwaDJWM2gtN3oiLz4KPC9zdmc+Cg==);
+  --jp-icon-line-form: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGZpbGw9IndoaXRlIiBkPSJNNS44OCA0LjEyTDEzLjc2IDEybC03Ljg4IDcuODhMOCAyMmwxMC0xMEw4IDJ6Ii8+Cjwvc3ZnPgo=);
+  --jp-icon-link: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTMuOSAxMmMwLTEuNzEgMS4zOS0zLjEgMy4xLTMuMWg0VjdIN2MtMi43NiAwLTUgMi4yNC01IDVzMi4yNCA1IDUgNWg0di0xLjlIN2MtMS43MSAwLTMuMS0xLjM5LTMuMS0zLjF6TTggMTNoOHYtMkg4djJ6bTktNmgtNHYxLjloNGMxLjcxIDAgMy4xIDEuMzkgMy4xIDMuMXMtMS4zOSAzLjEtMy4xIDMuMWgtNFYxN2g0YzIuNzYgMCA1LTIuMjQgNS01cy0yLjI0LTUtNS01eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-list: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGNsYXNzPSJqcC1pY29uMiBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xOSA1djE0SDVWNWgxNG0xLjEtMkgzLjljLS41IDAtLjkuNC0uOS45djE2LjJjMCAuNC40LjkuOS45aDE2LjJjLjQgMCAuOS0uNS45LS45VjMuOWMwLS41LS41LS45LS45LS45ek0xMSA3aDZ2MmgtNlY3em0wIDRoNnYyaC02di0yem0wIDRoNnYyaC02ek03IDdoMnYySDd6bTAgNGgydjJIN3ptMCA0aDJ2Mkg3eiIvPgo8L3N2Zz4K);
+  --jp-icon-markdown: url(data:image/svg+xml;base64,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);
+  --jp-icon-move-down: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMTQiIGhlaWdodD0iMTQiIHZpZXdCb3g9IjAgMCAxNCAxNCIgZmlsbD0ibm9uZSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KPHBhdGggY2xhc3M9ImpwLWljb24zIiBkPSJNMTIuNDcxIDcuNTI4OTlDMTIuNzYzMiA3LjIzNjg0IDEyLjc2MzIgNi43NjMxNiAxMi40NzEgNi40NzEwMVY2LjQ3MTAxQzEyLjE3OSA2LjE3OTA1IDExLjcwNTcgNi4xNzg4NCAxMS40MTM1IDYuNDcwNTRMNy43NSAxMC4xMjc1VjEuNzVDNy43NSAxLjMzNTc5IDcuNDE0MjEgMSA3IDFWMUM2LjU4NTc5IDEgNi4yNSAxLjMzNTc5IDYuMjUgMS43NVYxMC4xMjc1TDIuNTk3MjYgNi40NjgyMkMyLjMwMzM4IDYuMTczODEgMS44MjY0MSA2LjE3MzU5IDEuNTMyMjYgNi40Njc3NFY2LjQ2Nzc0QzEuMjM4MyA2Ljc2MTcgMS4yMzgzIDcuMjM4MyAxLjUzMjI2IDcuNTMyMjZMNi4yOTI4OSAxMi4yOTI5QzYuNjgzNDIgMTIuNjgzNCA3LjMxNjU4IDEyLjY4MzQgNy43MDcxMSAxMi4yOTI5TDEyLjQ3MSA3LjUyODk5WiIgZmlsbD0iIzYxNjE2MSIvPgo8L3N2Zz4K);
+  --jp-icon-move-up: url(data:image/svg+xml;base64,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);
+  --jp-icon-new-folder: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTIwIDZoLThsLTItMkg0Yy0xLjExIDAtMS45OS44OS0xLjk5IDJMMiAxOGMwIDEuMTEuODkgMiAyIDJoMTZjMS4xMSAwIDItLjg5IDItMlY4YzAtMS4xMS0uODktMi0yLTJ6bS0xIDhoLTN2M2gtMnYtM2gtM3YtMmgzVjloMnYzaDN2MnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-not-trusted: url(data:image/svg+xml;base64,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);
+  --jp-icon-notebook: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtbm90ZWJvb2staWNvbi1jb2xvciBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiNFRjZDMDAiPgogICAgPHBhdGggZD0iTTE4LjcgMy4zdjE1LjRIMy4zVjMuM2gxNS40bTEuNS0xLjVIMS44djE4LjNoMTguM2wuMS0xOC4zeiIvPgogICAgPHBhdGggZD0iTTE2LjUgMTYuNWwtNS40LTQuMy01LjYgNC4zdi0xMWgxMXoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-numbering: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjIiIGhlaWdodD0iMjIiIHZpZXdCb3g9IjAgMCAyOCAyOCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CgkJPHBhdGggZD0iTTQgMTlINlYxOS41SDVWMjAuNUg2VjIxSDRWMjJIN1YxOEg0VjE5Wk01IDEwSDZWNkg0VjdINVYxMFpNNCAxM0g1LjhMNCAxNS4xVjE2SDdWMTVINS4yTDcgMTIuOVYxMkg0VjEzWk05IDdWOUgyM1Y3SDlaTTkgMjFIMjNWMTlIOVYyMVpNOSAxNUgyM1YxM0g5VjE1WiIvPgoJPC9nPgo8L3N2Zz4K);
+  --jp-icon-offline-bolt: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAyNCAyNCIgd2lkdGg9IjE2Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyIDIuMDJjLTUuNTEgMC05Ljk4IDQuNDctOS45OCA5Ljk4czQuNDcgOS45OCA5Ljk4IDkuOTggOS45OC00LjQ3IDkuOTgtOS45OFMxNy41MSAyLjAyIDEyIDIuMDJ6TTExLjQ4IDIwdi02LjI2SDhMMTMgNHY2LjI2aDMuMzVMMTEuNDggMjB6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-palette: url(data:image/svg+xml;base64,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);
+  --jp-icon-paste: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTE5IDJoLTQuMThDMTQuNC44NCAxMy4zIDAgMTIgMGMtMS4zIDAtMi40Ljg0LTIuODIgMkg1Yy0xLjEgMC0yIC45LTIgMnYxNmMwIDEuMS45IDIgMiAyaDE0YzEuMSAwIDItLjkgMi0yVjRjMC0xLjEtLjktMi0yLTJ6bS03IDBjLjU1IDAgMSAuNDUgMSAxcy0uNDUgMS0xIDEtMS0uNDUtMS0xIC40NS0xIDEtMXptNyAxOEg1VjRoMnYzaDEwVjRoMnYxNnoiLz4KICAgIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-pdf: url(data:image/svg+xml;base64,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);
+  --jp-icon-python: url(data:image/svg+xml;base64,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);
+  --jp-icon-r-kernel: url(data:image/svg+xml;base64,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);
+  --jp-icon-react: url(data:image/svg+xml;base64,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);
+  --jp-icon-redo: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIGhlaWdodD0iMjQiIHZpZXdCb3g9IjAgMCAyNCAyNCIgd2lkdGg9IjE2Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgICA8cGF0aCBkPSJNMCAwaDI0djI0SDB6IiBmaWxsPSJub25lIi8+PHBhdGggZD0iTTE4LjQgMTAuNkMxNi41NSA4Ljk5IDE0LjE1IDggMTEuNSA4Yy00LjY1IDAtOC41OCAzLjAzLTkuOTYgNy4yMkwzLjkgMTZjMS4wNS0zLjE5IDQuMDUtNS41IDcuNi01LjUgMS45NSAwIDMuNzMuNzIgNS4xMiAxLjg4TDEzIDE2aDlWN2wtMy42IDMuNnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-refresh: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTkgMTMuNWMtMi40OSAwLTQuNS0yLjAxLTQuNS00LjVTNi41MSA0LjUgOSA0LjVjMS4yNCAwIDIuMzYuNTIgMy4xNyAxLjMzTDEwIDhoNVYzbC0xLjc2IDEuNzZDMTIuMTUgMy42OCAxMC42NiAzIDkgMyA1LjY5IDMgMy4wMSA1LjY5IDMuMDEgOVM1LjY5IDE1IDkgMTVjMi45NyAwIDUuNDMtMi4xNiA1LjktNWgtMS41MmMtLjQ2IDItMi4yNCAzLjUtNC4zOCAzLjV6Ii8+CiAgICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-regex: url(data:image/svg+xml;base64,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);
+  --jp-icon-run: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTggNXYxNGwxMS03eiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-running: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDUxMiA1MTIiPgogIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICA8cGF0aCBkPSJNMjU2IDhDMTE5IDggOCAxMTkgOCAyNTZzMTExIDI0OCAyNDggMjQ4IDI0OC0xMTEgMjQ4LTI0OFMzOTMgOCAyNTYgOHptOTYgMzI4YzAgOC44LTcuMiAxNi0xNiAxNkgxNzZjLTguOCAwLTE2LTcuMi0xNi0xNlYxNzZjMC04LjggNy4yLTE2IDE2LTE2aDE2MGM4LjggMCAxNiA3LjIgMTYgMTZ2MTYweiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-save: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTE3IDNINWMtMS4xMSAwLTIgLjktMiAydjE0YzAgMS4xLjg5IDIgMiAyaDE0YzEuMSAwIDItLjkgMi0yVjdsLTQtNHptLTUgMTZjLTEuNjYgMC0zLTEuMzQtMy0zczEuMzQtMyAzLTMgMyAxLjM0IDMgMy0xLjM0IDMtMyAzem0zLTEwSDVWNWgxMHY0eiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-search: url(data:image/svg+xml;base64,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);
+  --jp-icon-settings: url(data:image/svg+xml;base64,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);
+  --jp-icon-share: url(data:image/svg+xml;base64,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);
+  --jp-icon-spreadsheet: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8cGF0aCBjbGFzcz0ianAtaWNvbi1jb250cmFzdDEganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNENBRjUwIiBkPSJNMi4yIDIuMnYxNy42aDE3LjZWMi4ySDIuMnptMTUuNCA3LjdoLTUuNVY0LjRoNS41djUuNXpNOS45IDQuNHY1LjVINC40VjQuNGg1LjV6bS01LjUgNy43aDUuNXY1LjVINC40di01LjV6bTcuNyA1LjV2LTUuNWg1LjV2NS41aC01LjV6Ii8+Cjwvc3ZnPgo=);
+  --jp-icon-stop: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik02IDZoMTJ2MTJINnoiLz4KICAgIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-tab: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTIxIDNIM2MtMS4xIDAtMiAuOS0yIDJ2MTRjMCAxLjEuOSAyIDIgMmgxOGMxLjEgMCAyLS45IDItMlY1YzAtMS4xLS45LTItMi0yem0wIDE2SDNWNWgxMHY0aDh2MTB6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-table-rows: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik0yMSw4SDNWNGgxOFY4eiBNMjEsMTBIM3Y0aDE4VjEweiBNMjEsMTZIM3Y0aDE4VjE2eiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-tag: url(data:image/svg+xml;base64,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);
+  --jp-icon-terminal: url(data:image/svg+xml;base64,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);
+  --jp-icon-text-editor: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtdGV4dC1lZGl0b3ItaWNvbi1jb2xvciBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xNSAxNUgzdjJoMTJ2LTJ6bTAtOEgzdjJoMTJWN3pNMyAxM2gxOHYtMkgzdjJ6bTAgOGgxOHYtMkgzdjJ6TTMgM3YyaDE4VjNIM3oiLz4KPC9zdmc+Cg==);
+  --jp-icon-toc: url(data:image/svg+xml;base64,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);
+  --jp-icon-tree-view: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik0yMiAxMVYzaC03djNIOVYzSDJ2OGg3VjhoMnYxMGg0djNoN3YtOGgtN3YzaC0yVjhoMnYzeiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-trusted: url(data:image/svg+xml;base64,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);
+  --jp-icon-undo: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyLjUgOGMtMi42NSAwLTUuMDUuOTktNi45IDIuNkwyIDd2OWg5bC0zLjYyLTMuNjJjMS4zOS0xLjE2IDMuMTYtMS44OCA1LjEyLTEuODggMy41NCAwIDYuNTUgMi4zMSA3LjYgNS41bDIuMzctLjc4QzIxLjA4IDExLjAzIDE3LjE1IDggMTIuNSA4eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-user: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMTYiIHZpZXdCb3g9IjAgMCAyNCAyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE2IDdhNCA0IDAgMTEtOCAwIDQgNCAwIDAxOCAwek0xMiAxNGE3IDcgMCAwMC03IDdoMTRhNyA3IDAgMDAtNy03eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-users: url(data:image/svg+xml;base64,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);
+  --jp-icon-vega: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtaWNvbjEganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjMjEyMTIxIj4KICAgIDxwYXRoIGQ9Ik0xMC42IDUuNGwyLjItMy4ySDIuMnY3LjNsNC02LjZ6Ii8+CiAgICA8cGF0aCBkPSJNMTUuOCAyLjJsLTQuNCA2LjZMNyA2LjNsLTQuOCA4djUuNWgxNy42VjIuMmgtNHptLTcgMTUuNEg1LjV2LTQuNGgzLjN2NC40em00LjQgMEg5LjhWOS44aDMuNHY3Ljh6bTQuNCAwaC0zLjRWNi41aDMuNHYxMS4xeiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-word: url(data:image/svg+xml;base64,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);
+  --jp-icon-yaml: url(data:image/svg+xml;base64,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);
+}
+
+/* Icon CSS class declarations */
+
+.jp-AddAboveIcon {
+  background-image: var(--jp-icon-add-above);
+}
+
+.jp-AddBelowIcon {
+  background-image: var(--jp-icon-add-below);
+}
+
+.jp-AddIcon {
+  background-image: var(--jp-icon-add);
+}
+
+.jp-BellIcon {
+  background-image: var(--jp-icon-bell);
+}
+
+.jp-BugDotIcon {
+  background-image: var(--jp-icon-bug-dot);
+}
+
+.jp-BugIcon {
+  background-image: var(--jp-icon-bug);
+}
+
+.jp-BuildIcon {
+  background-image: var(--jp-icon-build);
+}
+
+.jp-CaretDownEmptyIcon {
+  background-image: var(--jp-icon-caret-down-empty);
+}
+
+.jp-CaretDownEmptyThinIcon {
+  background-image: var(--jp-icon-caret-down-empty-thin);
+}
+
+.jp-CaretDownIcon {
+  background-image: var(--jp-icon-caret-down);
+}
+
+.jp-CaretLeftIcon {
+  background-image: var(--jp-icon-caret-left);
+}
+
+.jp-CaretRightIcon {
+  background-image: var(--jp-icon-caret-right);
+}
+
+.jp-CaretUpEmptyThinIcon {
+  background-image: var(--jp-icon-caret-up-empty-thin);
+}
+
+.jp-CaretUpIcon {
+  background-image: var(--jp-icon-caret-up);
+}
+
+.jp-CaseSensitiveIcon {
+  background-image: var(--jp-icon-case-sensitive);
+}
+
+.jp-CheckIcon {
+  background-image: var(--jp-icon-check);
+}
+
+.jp-CircleEmptyIcon {
+  background-image: var(--jp-icon-circle-empty);
+}
+
+.jp-CircleIcon {
+  background-image: var(--jp-icon-circle);
+}
+
+.jp-ClearIcon {
+  background-image: var(--jp-icon-clear);
+}
+
+.jp-CloseIcon {
+  background-image: var(--jp-icon-close);
+}
+
+.jp-CodeCheckIcon {
+  background-image: var(--jp-icon-code-check);
+}
+
+.jp-CodeIcon {
+  background-image: var(--jp-icon-code);
+}
+
+.jp-CollapseAllIcon {
+  background-image: var(--jp-icon-collapse-all);
+}
+
+.jp-ConsoleIcon {
+  background-image: var(--jp-icon-console);
+}
+
+.jp-CopyIcon {
+  background-image: var(--jp-icon-copy);
+}
+
+.jp-CopyrightIcon {
+  background-image: var(--jp-icon-copyright);
+}
+
+.jp-CutIcon {
+  background-image: var(--jp-icon-cut);
+}
+
+.jp-DeleteIcon {
+  background-image: var(--jp-icon-delete);
+}
+
+.jp-DownloadIcon {
+  background-image: var(--jp-icon-download);
+}
+
+.jp-DuplicateIcon {
+  background-image: var(--jp-icon-duplicate);
+}
+
+.jp-EditIcon {
+  background-image: var(--jp-icon-edit);
+}
+
+.jp-EllipsesIcon {
+  background-image: var(--jp-icon-ellipses);
+}
+
+.jp-ErrorIcon {
+  background-image: var(--jp-icon-error);
+}
+
+.jp-ExpandAllIcon {
+  background-image: var(--jp-icon-expand-all);
+}
+
+.jp-ExtensionIcon {
+  background-image: var(--jp-icon-extension);
+}
+
+.jp-FastForwardIcon {
+  background-image: var(--jp-icon-fast-forward);
+}
+
+.jp-FileIcon {
+  background-image: var(--jp-icon-file);
+}
+
+.jp-FileUploadIcon {
+  background-image: var(--jp-icon-file-upload);
+}
+
+.jp-FilterDotIcon {
+  background-image: var(--jp-icon-filter-dot);
+}
+
+.jp-FilterIcon {
+  background-image: var(--jp-icon-filter);
+}
+
+.jp-FilterListIcon {
+  background-image: var(--jp-icon-filter-list);
+}
+
+.jp-FolderFavoriteIcon {
+  background-image: var(--jp-icon-folder-favorite);
+}
+
+.jp-FolderIcon {
+  background-image: var(--jp-icon-folder);
+}
+
+.jp-HomeIcon {
+  background-image: var(--jp-icon-home);
+}
+
+.jp-Html5Icon {
+  background-image: var(--jp-icon-html5);
+}
+
+.jp-ImageIcon {
+  background-image: var(--jp-icon-image);
+}
+
+.jp-InfoIcon {
+  background-image: var(--jp-icon-info);
+}
+
+.jp-InspectorIcon {
+  background-image: var(--jp-icon-inspector);
+}
+
+.jp-JsonIcon {
+  background-image: var(--jp-icon-json);
+}
+
+.jp-JuliaIcon {
+  background-image: var(--jp-icon-julia);
+}
+
+.jp-JupyterFaviconIcon {
+  background-image: var(--jp-icon-jupyter-favicon);
+}
+
+.jp-JupyterIcon {
+  background-image: var(--jp-icon-jupyter);
+}
+
+.jp-JupyterlabWordmarkIcon {
+  background-image: var(--jp-icon-jupyterlab-wordmark);
+}
+
+.jp-KernelIcon {
+  background-image: var(--jp-icon-kernel);
+}
+
+.jp-KeyboardIcon {
+  background-image: var(--jp-icon-keyboard);
+}
+
+.jp-LaunchIcon {
+  background-image: var(--jp-icon-launch);
+}
+
+.jp-LauncherIcon {
+  background-image: var(--jp-icon-launcher);
+}
+
+.jp-LineFormIcon {
+  background-image: var(--jp-icon-line-form);
+}
+
+.jp-LinkIcon {
+  background-image: var(--jp-icon-link);
+}
+
+.jp-ListIcon {
+  background-image: var(--jp-icon-list);
+}
+
+.jp-MarkdownIcon {
+  background-image: var(--jp-icon-markdown);
+}
+
+.jp-MoveDownIcon {
+  background-image: var(--jp-icon-move-down);
+}
+
+.jp-MoveUpIcon {
+  background-image: var(--jp-icon-move-up);
+}
+
+.jp-NewFolderIcon {
+  background-image: var(--jp-icon-new-folder);
+}
+
+.jp-NotTrustedIcon {
+  background-image: var(--jp-icon-not-trusted);
+}
+
+.jp-NotebookIcon {
+  background-image: var(--jp-icon-notebook);
+}
+
+.jp-NumberingIcon {
+  background-image: var(--jp-icon-numbering);
+}
+
+.jp-OfflineBoltIcon {
+  background-image: var(--jp-icon-offline-bolt);
+}
+
+.jp-PaletteIcon {
+  background-image: var(--jp-icon-palette);
+}
+
+.jp-PasteIcon {
+  background-image: var(--jp-icon-paste);
+}
+
+.jp-PdfIcon {
+  background-image: var(--jp-icon-pdf);
+}
+
+.jp-PythonIcon {
+  background-image: var(--jp-icon-python);
+}
+
+.jp-RKernelIcon {
+  background-image: var(--jp-icon-r-kernel);
+}
+
+.jp-ReactIcon {
+  background-image: var(--jp-icon-react);
+}
+
+.jp-RedoIcon {
+  background-image: var(--jp-icon-redo);
+}
+
+.jp-RefreshIcon {
+  background-image: var(--jp-icon-refresh);
+}
+
+.jp-RegexIcon {
+  background-image: var(--jp-icon-regex);
+}
+
+.jp-RunIcon {
+  background-image: var(--jp-icon-run);
+}
+
+.jp-RunningIcon {
+  background-image: var(--jp-icon-running);
+}
+
+.jp-SaveIcon {
+  background-image: var(--jp-icon-save);
+}
+
+.jp-SearchIcon {
+  background-image: var(--jp-icon-search);
+}
+
+.jp-SettingsIcon {
+  background-image: var(--jp-icon-settings);
+}
+
+.jp-ShareIcon {
+  background-image: var(--jp-icon-share);
+}
+
+.jp-SpreadsheetIcon {
+  background-image: var(--jp-icon-spreadsheet);
+}
+
+.jp-StopIcon {
+  background-image: var(--jp-icon-stop);
+}
+
+.jp-TabIcon {
+  background-image: var(--jp-icon-tab);
+}
+
+.jp-TableRowsIcon {
+  background-image: var(--jp-icon-table-rows);
+}
+
+.jp-TagIcon {
+  background-image: var(--jp-icon-tag);
+}
+
+.jp-TerminalIcon {
+  background-image: var(--jp-icon-terminal);
+}
+
+.jp-TextEditorIcon {
+  background-image: var(--jp-icon-text-editor);
+}
+
+.jp-TocIcon {
+  background-image: var(--jp-icon-toc);
+}
+
+.jp-TreeViewIcon {
+  background-image: var(--jp-icon-tree-view);
+}
+
+.jp-TrustedIcon {
+  background-image: var(--jp-icon-trusted);
+}
+
+.jp-UndoIcon {
+  background-image: var(--jp-icon-undo);
+}
+
+.jp-UserIcon {
+  background-image: var(--jp-icon-user);
+}
+
+.jp-UsersIcon {
+  background-image: var(--jp-icon-users);
+}
+
+.jp-VegaIcon {
+  background-image: var(--jp-icon-vega);
+}
+
+.jp-WordIcon {
+  background-image: var(--jp-icon-word);
+}
+
+.jp-YamlIcon {
+  background-image: var(--jp-icon-yaml);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/**
+ * (DEPRECATED) Support for consuming icons as CSS background images
+ */
+
+.jp-Icon,
+.jp-MaterialIcon {
+  background-position: center;
+  background-repeat: no-repeat;
+  background-size: 16px;
+  min-width: 16px;
+  min-height: 16px;
+}
+
+.jp-Icon-cover {
+  background-position: center;
+  background-repeat: no-repeat;
+  background-size: cover;
+}
+
+/**
+ * (DEPRECATED) Support for specific CSS icon sizes
+ */
+
+.jp-Icon-16 {
+  background-size: 16px;
+  min-width: 16px;
+  min-height: 16px;
+}
+
+.jp-Icon-18 {
+  background-size: 18px;
+  min-width: 18px;
+  min-height: 18px;
+}
+
+.jp-Icon-20 {
+  background-size: 20px;
+  min-width: 20px;
+  min-height: 20px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.lm-TabBar .lm-TabBar-addButton {
+  align-items: center;
+  display: flex;
+  padding: 4px;
+  padding-bottom: 5px;
+  margin-right: 1px;
+  background-color: var(--jp-layout-color2);
+}
+
+.lm-TabBar .lm-TabBar-addButton:hover {
+  background-color: var(--jp-layout-color1);
+}
+
+.lm-DockPanel-tabBar .lm-TabBar-tab {
+  width: var(--jp-private-horizontal-tab-width);
+}
+
+.lm-DockPanel-tabBar .lm-TabBar-content {
+  flex: unset;
+}
+
+.lm-DockPanel-tabBar[data-orientation='horizontal'] {
+  flex: 1 1 auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/**
+ * Support for icons as inline SVG HTMLElements
+ */
+
+/* recolor the primary elements of an icon */
+.jp-icon0[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon1[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon2[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon3[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon4[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon0[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon1[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon2[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon3[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon4[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/* recolor the accent elements of an icon */
+.jp-icon-accent0[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.jp-icon-accent1[fill] {
+  fill: var(--jp-layout-color1);
+}
+
+.jp-icon-accent2[fill] {
+  fill: var(--jp-layout-color2);
+}
+
+.jp-icon-accent3[fill] {
+  fill: var(--jp-layout-color3);
+}
+
+.jp-icon-accent4[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-accent0[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-accent1[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-accent2[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-accent3[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-accent4[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* set the color of an icon to transparent */
+.jp-icon-none[fill] {
+  fill: none;
+}
+
+.jp-icon-none[stroke] {
+  stroke: none;
+}
+
+/* brand icon colors. Same for light and dark */
+.jp-icon-brand0[fill] {
+  fill: var(--jp-brand-color0);
+}
+
+.jp-icon-brand1[fill] {
+  fill: var(--jp-brand-color1);
+}
+
+.jp-icon-brand2[fill] {
+  fill: var(--jp-brand-color2);
+}
+
+.jp-icon-brand3[fill] {
+  fill: var(--jp-brand-color3);
+}
+
+.jp-icon-brand4[fill] {
+  fill: var(--jp-brand-color4);
+}
+
+.jp-icon-brand0[stroke] {
+  stroke: var(--jp-brand-color0);
+}
+
+.jp-icon-brand1[stroke] {
+  stroke: var(--jp-brand-color1);
+}
+
+.jp-icon-brand2[stroke] {
+  stroke: var(--jp-brand-color2);
+}
+
+.jp-icon-brand3[stroke] {
+  stroke: var(--jp-brand-color3);
+}
+
+.jp-icon-brand4[stroke] {
+  stroke: var(--jp-brand-color4);
+}
+
+/* warn icon colors. Same for light and dark */
+.jp-icon-warn0[fill] {
+  fill: var(--jp-warn-color0);
+}
+
+.jp-icon-warn1[fill] {
+  fill: var(--jp-warn-color1);
+}
+
+.jp-icon-warn2[fill] {
+  fill: var(--jp-warn-color2);
+}
+
+.jp-icon-warn3[fill] {
+  fill: var(--jp-warn-color3);
+}
+
+.jp-icon-warn0[stroke] {
+  stroke: var(--jp-warn-color0);
+}
+
+.jp-icon-warn1[stroke] {
+  stroke: var(--jp-warn-color1);
+}
+
+.jp-icon-warn2[stroke] {
+  stroke: var(--jp-warn-color2);
+}
+
+.jp-icon-warn3[stroke] {
+  stroke: var(--jp-warn-color3);
+}
+
+/* icon colors that contrast well with each other and most backgrounds */
+.jp-icon-contrast0[fill] {
+  fill: var(--jp-icon-contrast-color0);
+}
+
+.jp-icon-contrast1[fill] {
+  fill: var(--jp-icon-contrast-color1);
+}
+
+.jp-icon-contrast2[fill] {
+  fill: var(--jp-icon-contrast-color2);
+}
+
+.jp-icon-contrast3[fill] {
+  fill: var(--jp-icon-contrast-color3);
+}
+
+.jp-icon-contrast0[stroke] {
+  stroke: var(--jp-icon-contrast-color0);
+}
+
+.jp-icon-contrast1[stroke] {
+  stroke: var(--jp-icon-contrast-color1);
+}
+
+.jp-icon-contrast2[stroke] {
+  stroke: var(--jp-icon-contrast-color2);
+}
+
+.jp-icon-contrast3[stroke] {
+  stroke: var(--jp-icon-contrast-color3);
+}
+
+.jp-icon-dot[fill] {
+  fill: var(--jp-warn-color0);
+}
+
+.jp-jupyter-icon-color[fill] {
+  fill: var(--jp-jupyter-icon-color, var(--jp-warn-color0));
+}
+
+.jp-notebook-icon-color[fill] {
+  fill: var(--jp-notebook-icon-color, var(--jp-warn-color0));
+}
+
+.jp-json-icon-color[fill] {
+  fill: var(--jp-json-icon-color, var(--jp-warn-color1));
+}
+
+.jp-console-icon-color[fill] {
+  fill: var(--jp-console-icon-color, white);
+}
+
+.jp-console-icon-background-color[fill] {
+  fill: var(--jp-console-icon-background-color, var(--jp-brand-color1));
+}
+
+.jp-terminal-icon-color[fill] {
+  fill: var(--jp-terminal-icon-color, var(--jp-layout-color2));
+}
+
+.jp-terminal-icon-background-color[fill] {
+  fill: var(
+    --jp-terminal-icon-background-color,
+    var(--jp-inverse-layout-color2)
+  );
+}
+
+.jp-text-editor-icon-color[fill] {
+  fill: var(--jp-text-editor-icon-color, var(--jp-inverse-layout-color3));
+}
+
+.jp-inspector-icon-color[fill] {
+  fill: var(--jp-inspector-icon-color, var(--jp-inverse-layout-color3));
+}
+
+/* CSS for icons in selected filebrowser listing items */
+.jp-DirListing-item.jp-mod-selected .jp-icon-selectable[fill] {
+  fill: #fff;
+}
+
+.jp-DirListing-item.jp-mod-selected .jp-icon-selectable-inverse[fill] {
+  fill: var(--jp-brand-color1);
+}
+
+/* stylelint-disable selector-max-class, selector-max-compound-selectors */
+
+/**
+* TODO: come up with non css-hack solution for showing the busy icon on top
+*  of the close icon
+* CSS for complex behavior of close icon of tabs in the main area tabbar
+*/
+.lm-DockPanel-tabBar
+  .lm-TabBar-tab.lm-mod-closable.jp-mod-dirty
+  > .lm-TabBar-tabCloseIcon
+  > :not(:hover)
+  > .jp-icon3[fill] {
+  fill: none;
+}
+
+.lm-DockPanel-tabBar
+  .lm-TabBar-tab.lm-mod-closable.jp-mod-dirty
+  > .lm-TabBar-tabCloseIcon
+  > :not(:hover)
+  > .jp-icon-busy[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+/* stylelint-enable selector-max-class, selector-max-compound-selectors */
+
+/* CSS for icons in status bar */
+#jp-main-statusbar .jp-mod-selected .jp-icon-selectable[fill] {
+  fill: #fff;
+}
+
+#jp-main-statusbar .jp-mod-selected .jp-icon-selectable-inverse[fill] {
+  fill: var(--jp-brand-color1);
+}
+
+/* special handling for splash icon CSS. While the theme CSS reloads during
+   splash, the splash icon can loose theming. To prevent that, we set a
+   default for its color variable */
+:root {
+  --jp-warn-color0: var(--md-orange-700);
+}
+
+/* not sure what to do with this one, used in filebrowser listing */
+.jp-DragIcon {
+  margin-right: 4px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/**
+ * Support for alt colors for icons as inline SVG HTMLElements
+ */
+
+/* alt recolor the primary elements of an icon */
+.jp-icon-alt .jp-icon0[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.jp-icon-alt .jp-icon1[fill] {
+  fill: var(--jp-layout-color1);
+}
+
+.jp-icon-alt .jp-icon2[fill] {
+  fill: var(--jp-layout-color2);
+}
+
+.jp-icon-alt .jp-icon3[fill] {
+  fill: var(--jp-layout-color3);
+}
+
+.jp-icon-alt .jp-icon4[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-alt .jp-icon0[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-alt .jp-icon1[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-alt .jp-icon2[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-alt .jp-icon3[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-alt .jp-icon4[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* alt recolor the accent elements of an icon */
+.jp-icon-alt .jp-icon-accent0[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-alt .jp-icon-accent1[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-alt .jp-icon-accent2[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-alt .jp-icon-accent3[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-alt .jp-icon-accent4[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon-alt .jp-icon-accent0[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-alt .jp-icon-accent1[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-alt .jp-icon-accent2[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-alt .jp-icon-accent3[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-alt .jp-icon-accent4[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-icon-hoverShow:not(:hover) .jp-icon-hoverShow-content {
+  display: none !important;
+}
+
+/**
+ * Support for hover colors for icons as inline SVG HTMLElements
+ */
+
+/**
+ * regular colors
+ */
+
+/* recolor the primary elements of an icon */
+.jp-icon-hover :hover .jp-icon0-hover[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon1-hover[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon2-hover[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon3-hover[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon4-hover[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon-hover :hover .jp-icon0-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon1-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon2-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon3-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon4-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/* recolor the accent elements of an icon */
+.jp-icon-hover :hover .jp-icon-accent0-hover[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon-accent1-hover[fill] {
+  fill: var(--jp-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon-accent2-hover[fill] {
+  fill: var(--jp-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon-accent3-hover[fill] {
+  fill: var(--jp-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon-accent4-hover[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-hover :hover .jp-icon-accent0-hover[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon-accent1-hover[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon-accent2-hover[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon-accent3-hover[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon-accent4-hover[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* set the color of an icon to transparent */
+.jp-icon-hover :hover .jp-icon-none-hover[fill] {
+  fill: none;
+}
+
+.jp-icon-hover :hover .jp-icon-none-hover[stroke] {
+  stroke: none;
+}
+
+/**
+ * inverse colors
+ */
+
+/* inverse recolor the primary elements of an icon */
+.jp-icon-hover.jp-icon-alt :hover .jp-icon0-hover[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon1-hover[fill] {
+  fill: var(--jp-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon2-hover[fill] {
+  fill: var(--jp-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon3-hover[fill] {
+  fill: var(--jp-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon4-hover[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon0-hover[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon1-hover[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon2-hover[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon3-hover[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon4-hover[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* inverse recolor the accent elements of an icon */
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent0-hover[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent1-hover[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent2-hover[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent3-hover[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent4-hover[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent0-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent1-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent2-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent3-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent4-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-IFrame {
+  width: 100%;
+  height: 100%;
+}
+
+.jp-IFrame > iframe {
+  border: none;
+}
+
+/*
+When drag events occur, `lm-mod-override-cursor` is added to the body.
+Because iframes steal all cursor events, the following two rules are necessary
+to suppress pointer events while resize drags are occurring. There may be a
+better solution to this problem.
+*/
+body.lm-mod-override-cursor .jp-IFrame {
+  position: relative;
+}
+
+body.lm-mod-override-cursor .jp-IFrame::before {
+  content: '';
+  position: absolute;
+  top: 0;
+  left: 0;
+  right: 0;
+  bottom: 0;
+  background: transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-HoverBox {
+  position: fixed;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-FormGroup-content fieldset {
+  border: none;
+  padding: 0;
+  min-width: 0;
+  width: 100%;
+}
+
+/* stylelint-disable selector-max-type */
+
+.jp-FormGroup-content fieldset .jp-inputFieldWrapper input,
+.jp-FormGroup-content fieldset .jp-inputFieldWrapper select,
+.jp-FormGroup-content fieldset .jp-inputFieldWrapper textarea {
+  font-size: var(--jp-content-font-size2);
+  border-color: var(--jp-input-border-color);
+  border-style: solid;
+  border-radius: var(--jp-border-radius);
+  border-width: 1px;
+  padding: 6px 8px;
+  background: none;
+  color: var(--jp-ui-font-color0);
+  height: inherit;
+}
+
+.jp-FormGroup-content fieldset input[type='checkbox'] {
+  position: relative;
+  top: 2px;
+  margin-left: 0;
+}
+
+.jp-FormGroup-content button.jp-mod-styled {
+  cursor: pointer;
+}
+
+.jp-FormGroup-content .checkbox label {
+  cursor: pointer;
+  font-size: var(--jp-content-font-size1);
+}
+
+.jp-FormGroup-content .jp-root > fieldset > legend {
+  display: none;
+}
+
+.jp-FormGroup-content .jp-root > fieldset > p {
+  display: none;
+}
+
+/** copy of `input.jp-mod-styled:focus` style */
+.jp-FormGroup-content fieldset input:focus,
+.jp-FormGroup-content fieldset select:focus {
+  -moz-outline-radius: unset;
+  outline: var(--jp-border-width) solid var(--md-blue-500);
+  outline-offset: -1px;
+  box-shadow: inset 0 0 4px var(--md-blue-300);
+}
+
+.jp-FormGroup-content fieldset input:hover:not(:focus),
+.jp-FormGroup-content fieldset select:hover:not(:focus) {
+  background-color: var(--jp-border-color2);
+}
+
+/* stylelint-enable selector-max-type */
+
+.jp-FormGroup-content .checkbox .field-description {
+  /* Disable default description field for checkbox:
+   because other widgets do not have description fields,
+   we add descriptions to each widget on the field level.
+  */
+  display: none;
+}
+
+.jp-FormGroup-content #root__description {
+  display: none;
+}
+
+.jp-FormGroup-content .jp-modifiedIndicator {
+  width: 5px;
+  background-color: var(--jp-brand-color2);
+  margin-top: 0;
+  margin-left: calc(var(--jp-private-settingeditor-modifier-indent) * -1);
+  flex-shrink: 0;
+}
+
+.jp-FormGroup-content .jp-modifiedIndicator.jp-errorIndicator {
+  background-color: var(--jp-error-color0);
+  margin-right: 0.5em;
+}
+
+/* RJSF ARRAY style */
+
+.jp-arrayFieldWrapper legend {
+  font-size: var(--jp-content-font-size2);
+  color: var(--jp-ui-font-color0);
+  flex-basis: 100%;
+  padding: 4px 0;
+  font-weight: var(--jp-content-heading-font-weight);
+  border-bottom: 1px solid var(--jp-border-color2);
+}
+
+.jp-arrayFieldWrapper .field-description {
+  padding: 4px 0;
+  white-space: pre-wrap;
+}
+
+.jp-arrayFieldWrapper .array-item {
+  width: 100%;
+  border: 1px solid var(--jp-border-color2);
+  border-radius: 4px;
+  margin: 4px;
+}
+
+.jp-ArrayOperations {
+  display: flex;
+  margin-left: 8px;
+}
+
+.jp-ArrayOperationsButton {
+  margin: 2px;
+}
+
+.jp-ArrayOperationsButton .jp-icon3[fill] {
+  fill: var(--jp-ui-font-color0);
+}
+
+button.jp-ArrayOperationsButton.jp-mod-styled:disabled {
+  cursor: not-allowed;
+  opacity: 0.5;
+}
+
+/* RJSF form validation error */
+
+.jp-FormGroup-content .validationErrors {
+  color: var(--jp-error-color0);
+}
+
+/* Hide panel level error as duplicated the field level error */
+.jp-FormGroup-content .panel.errors {
+  display: none;
+}
+
+/* RJSF normal content (settings-editor) */
+
+.jp-FormGroup-contentNormal {
+  display: flex;
+  align-items: center;
+  flex-wrap: wrap;
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-contentItem {
+  margin-left: 7px;
+  color: var(--jp-ui-font-color0);
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-description {
+  flex-basis: 100%;
+  padding: 4px 7px;
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-default {
+  flex-basis: 100%;
+  padding: 4px 7px;
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-fieldLabel {
+  font-size: var(--jp-content-font-size1);
+  font-weight: normal;
+  min-width: 120px;
+}
+
+.jp-FormGroup-contentNormal fieldset:not(:first-child) {
+  margin-left: 7px;
+}
+
+.jp-FormGroup-contentNormal .field-array-of-string .array-item {
+  /* Display `jp-ArrayOperations` buttons side-by-side with content except
+    for small screens where flex-wrap will place them one below the other.
+  */
+  display: flex;
+  align-items: center;
+  flex-wrap: wrap;
+}
+
+.jp-FormGroup-contentNormal .jp-objectFieldWrapper .form-group {
+  padding: 2px 8px 2px var(--jp-private-settingeditor-modifier-indent);
+  margin-top: 2px;
+}
+
+/* RJSF compact content (metadata-form) */
+
+.jp-FormGroup-content.jp-FormGroup-contentCompact {
+  width: 100%;
+}
+
+.jp-FormGroup-contentCompact .form-group {
+  display: flex;
+  padding: 0.5em 0.2em 0.5em 0;
+}
+
+.jp-FormGroup-contentCompact
+  .jp-FormGroup-compactTitle
+  .jp-FormGroup-description {
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-FormGroup-contentCompact .jp-FormGroup-fieldLabel {
+  padding-bottom: 0.3em;
+}
+
+.jp-FormGroup-contentCompact .jp-inputFieldWrapper .form-control {
+  width: 100%;
+  box-sizing: border-box;
+}
+
+.jp-FormGroup-contentCompact .jp-arrayFieldWrapper .jp-FormGroup-compactTitle {
+  padding-bottom: 7px;
+}
+
+.jp-FormGroup-contentCompact
+  .jp-objectFieldWrapper
+  .jp-objectFieldWrapper
+  .form-group {
+  padding: 2px 8px 2px var(--jp-private-settingeditor-modifier-indent);
+  margin-top: 2px;
+}
+
+.jp-FormGroup-contentCompact ul.error-detail {
+  margin-block-start: 0.5em;
+  margin-block-end: 0.5em;
+  padding-inline-start: 1em;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-SidePanel {
+  display: flex;
+  flex-direction: column;
+  min-width: var(--jp-sidebar-min-width);
+  overflow-y: auto;
+  color: var(--jp-ui-font-color1);
+  background: var(--jp-layout-color1);
+  font-size: var(--jp-ui-font-size1);
+}
+
+.jp-SidePanel-header {
+  flex: 0 0 auto;
+  display: flex;
+  border-bottom: var(--jp-border-width) solid var(--jp-border-color2);
+  font-size: var(--jp-ui-font-size0);
+  font-weight: 600;
+  letter-spacing: 1px;
+  margin: 0;
+  padding: 2px;
+  text-transform: uppercase;
+}
+
+.jp-SidePanel-toolbar {
+  flex: 0 0 auto;
+}
+
+.jp-SidePanel-content {
+  flex: 1 1 auto;
+}
+
+.jp-SidePanel-toolbar,
+.jp-AccordionPanel-toolbar {
+  height: var(--jp-private-toolbar-height);
+}
+
+.jp-SidePanel-toolbar.jp-Toolbar-micro {
+  display: none;
+}
+
+.lm-AccordionPanel .jp-AccordionPanel-title {
+  box-sizing: border-box;
+  line-height: 25px;
+  margin: 0;
+  display: flex;
+  align-items: center;
+  background: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  font-size: var(--jp-ui-font-size0);
+}
+
+.jp-AccordionPanel-title {
+  cursor: pointer;
+  user-select: none;
+  -moz-user-select: none;
+  -webkit-user-select: none;
+  text-transform: uppercase;
+}
+
+.lm-AccordionPanel[data-orientation='horizontal'] > .jp-AccordionPanel-title {
+  /* Title is rotated for horizontal accordion panel using CSS */
+  display: block;
+  transform-origin: top left;
+  transform: rotate(-90deg) translate(-100%);
+}
+
+.jp-AccordionPanel-title .lm-AccordionPanel-titleLabel {
+  user-select: none;
+  text-overflow: ellipsis;
+  white-space: nowrap;
+  overflow: hidden;
+}
+
+.jp-AccordionPanel-title .lm-AccordionPanel-titleCollapser {
+  transform: rotate(-90deg);
+  margin: auto 0;
+  height: 16px;
+}
+
+.jp-AccordionPanel-title.lm-mod-expanded .lm-AccordionPanel-titleCollapser {
+  transform: rotate(0deg);
+}
+
+.lm-AccordionPanel .jp-AccordionPanel-toolbar {
+  background: none;
+  box-shadow: none;
+  border: none;
+  margin-left: auto;
+}
+
+.lm-AccordionPanel .lm-SplitPanel-handle:hover {
+  background: var(--jp-layout-color3);
+}
+
+.jp-text-truncated {
+  overflow: hidden;
+  text-overflow: ellipsis;
+  white-space: nowrap;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Spinner {
+  position: absolute;
+  display: flex;
+  justify-content: center;
+  align-items: center;
+  z-index: 10;
+  left: 0;
+  top: 0;
+  width: 100%;
+  height: 100%;
+  background: var(--jp-layout-color0);
+  outline: none;
+}
+
+.jp-SpinnerContent {
+  font-size: 10px;
+  margin: 50px auto;
+  text-indent: -9999em;
+  width: 3em;
+  height: 3em;
+  border-radius: 50%;
+  background: var(--jp-brand-color3);
+  background: linear-gradient(
+    to right,
+    #f37626 10%,
+    rgba(255, 255, 255, 0) 42%
+  );
+  position: relative;
+  animation: load3 1s infinite linear, fadeIn 1s;
+}
+
+.jp-SpinnerContent::before {
+  width: 50%;
+  height: 50%;
+  background: #f37626;
+  border-radius: 100% 0 0;
+  position: absolute;
+  top: 0;
+  left: 0;
+  content: '';
+}
+
+.jp-SpinnerContent::after {
+  background: var(--jp-layout-color0);
+  width: 75%;
+  height: 75%;
+  border-radius: 50%;
+  content: '';
+  margin: auto;
+  position: absolute;
+  top: 0;
+  left: 0;
+  bottom: 0;
+  right: 0;
+}
+
+@keyframes fadeIn {
+  0% {
+    opacity: 0;
+  }
+
+  100% {
+    opacity: 1;
+  }
+}
+
+@keyframes load3 {
+  0% {
+    transform: rotate(0deg);
+  }
+
+  100% {
+    transform: rotate(360deg);
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+button.jp-mod-styled {
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color0);
+  border: none;
+  box-sizing: border-box;
+  text-align: center;
+  line-height: 32px;
+  height: 32px;
+  padding: 0 12px;
+  letter-spacing: 0.8px;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+}
+
+input.jp-mod-styled {
+  background: var(--jp-input-background);
+  height: 28px;
+  box-sizing: border-box;
+  border: var(--jp-border-width) solid var(--jp-border-color1);
+  padding-left: 7px;
+  padding-right: 7px;
+  font-size: var(--jp-ui-font-size2);
+  color: var(--jp-ui-font-color0);
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+}
+
+input[type='checkbox'].jp-mod-styled {
+  appearance: checkbox;
+  -webkit-appearance: checkbox;
+  -moz-appearance: checkbox;
+  height: auto;
+}
+
+input.jp-mod-styled:focus {
+  border: var(--jp-border-width) solid var(--md-blue-500);
+  box-shadow: inset 0 0 4px var(--md-blue-300);
+}
+
+.jp-select-wrapper {
+  display: flex;
+  position: relative;
+  flex-direction: column;
+  padding: 1px;
+  background-color: var(--jp-layout-color1);
+  box-sizing: border-box;
+  margin-bottom: 12px;
+}
+
+.jp-select-wrapper:not(.multiple) {
+  height: 28px;
+}
+
+.jp-select-wrapper.jp-mod-focused select.jp-mod-styled {
+  border: var(--jp-border-width) solid var(--jp-input-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+  background-color: var(--jp-input-active-background);
+}
+
+select.jp-mod-styled:hover {
+  cursor: pointer;
+  color: var(--jp-ui-font-color0);
+  background-color: var(--jp-input-hover-background);
+  box-shadow: inset 0 0 1px rgba(0, 0, 0, 0.5);
+}
+
+select.jp-mod-styled {
+  flex: 1 1 auto;
+  width: 100%;
+  font-size: var(--jp-ui-font-size2);
+  background: var(--jp-input-background);
+  color: var(--jp-ui-font-color0);
+  padding: 0 25px 0 8px;
+  border: var(--jp-border-width) solid var(--jp-input-border-color);
+  border-radius: 0;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+}
+
+select.jp-mod-styled:not([multiple]) {
+  height: 32px;
+}
+
+select.jp-mod-styled[multiple] {
+  max-height: 200px;
+  overflow-y: auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-switch {
+  display: flex;
+  align-items: center;
+  padding-left: 4px;
+  padding-right: 4px;
+  font-size: var(--jp-ui-font-size1);
+  background-color: transparent;
+  color: var(--jp-ui-font-color1);
+  border: none;
+  height: 20px;
+}
+
+.jp-switch:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-switch-label {
+  margin-right: 5px;
+  font-family: var(--jp-ui-font-family);
+}
+
+.jp-switch-track {
+  cursor: pointer;
+  background-color: var(--jp-switch-color, var(--jp-border-color1));
+  -webkit-transition: 0.4s;
+  transition: 0.4s;
+  border-radius: 34px;
+  height: 16px;
+  width: 35px;
+  position: relative;
+}
+
+.jp-switch-track::before {
+  content: '';
+  position: absolute;
+  height: 10px;
+  width: 10px;
+  margin: 3px;
+  left: 0;
+  background-color: var(--jp-ui-inverse-font-color1);
+  -webkit-transition: 0.4s;
+  transition: 0.4s;
+  border-radius: 50%;
+}
+
+.jp-switch[aria-checked='true'] .jp-switch-track {
+  background-color: var(--jp-switch-true-position-color, var(--jp-warn-color0));
+}
+
+.jp-switch[aria-checked='true'] .jp-switch-track::before {
+  /* track width (35) - margins (3 + 3) - thumb width (10) */
+  left: 19px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-toolbar-height: calc(
+    28px + var(--jp-border-width)
+  ); /* leave 28px for content */
+}
+
+.jp-Toolbar {
+  color: var(--jp-ui-font-color1);
+  flex: 0 0 auto;
+  display: flex;
+  flex-direction: row;
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  background: var(--jp-toolbar-background);
+  min-height: var(--jp-toolbar-micro-height);
+  padding: 2px;
+  z-index: 8;
+  overflow-x: hidden;
+}
+
+/* Toolbar items */
+
+.jp-Toolbar > .jp-Toolbar-item.jp-Toolbar-spacer {
+  flex-grow: 1;
+  flex-shrink: 1;
+}
+
+.jp-Toolbar-item.jp-Toolbar-kernelStatus {
+  display: inline-block;
+  width: 32px;
+  background-repeat: no-repeat;
+  background-position: center;
+  background-size: 16px;
+}
+
+.jp-Toolbar > .jp-Toolbar-item {
+  flex: 0 0 auto;
+  display: flex;
+  padding-left: 1px;
+  padding-right: 1px;
+  font-size: var(--jp-ui-font-size1);
+  line-height: var(--jp-private-toolbar-height);
+  height: 100%;
+}
+
+/* Toolbar buttons */
+
+/* This is the div we use to wrap the react component into a Widget */
+div.jp-ToolbarButton {
+  color: transparent;
+  border: none;
+  box-sizing: border-box;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+  padding: 0;
+  margin: 0;
+}
+
+button.jp-ToolbarButtonComponent {
+  background: var(--jp-layout-color1);
+  border: none;
+  box-sizing: border-box;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+  padding: 0 6px;
+  margin: 0;
+  height: 24px;
+  border-radius: var(--jp-border-radius);
+  display: flex;
+  align-items: center;
+  text-align: center;
+  font-size: 14px;
+  min-width: unset;
+  min-height: unset;
+}
+
+button.jp-ToolbarButtonComponent:disabled {
+  opacity: 0.4;
+}
+
+button.jp-ToolbarButtonComponent > span {
+  padding: 0;
+  flex: 0 0 auto;
+}
+
+button.jp-ToolbarButtonComponent .jp-ToolbarButtonComponent-label {
+  font-size: var(--jp-ui-font-size1);
+  line-height: 100%;
+  padding-left: 2px;
+  color: var(--jp-ui-font-color1);
+  font-family: var(--jp-ui-font-family);
+}
+
+#jp-main-dock-panel[data-mode='single-document']
+  .jp-MainAreaWidget
+  > .jp-Toolbar.jp-Toolbar-micro {
+  padding: 0;
+  min-height: 0;
+}
+
+#jp-main-dock-panel[data-mode='single-document']
+  .jp-MainAreaWidget
+  > .jp-Toolbar {
+  border: none;
+  box-shadow: none;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-WindowedPanel-outer {
+  position: relative;
+  overflow-y: auto;
+}
+
+.jp-WindowedPanel-inner {
+  position: relative;
+}
+
+.jp-WindowedPanel-window {
+  position: absolute;
+  left: 0;
+  right: 0;
+  overflow: visible;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/* Sibling imports */
+
+body {
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+}
+
+/* Disable native link decoration styles everywhere outside of dialog boxes */
+a {
+  text-decoration: unset;
+  color: unset;
+}
+
+a:hover {
+  text-decoration: unset;
+  color: unset;
+}
+
+/* Accessibility for links inside dialog box text */
+.jp-Dialog-content a {
+  text-decoration: revert;
+  color: var(--jp-content-link-color);
+}
+
+.jp-Dialog-content a:hover {
+  text-decoration: revert;
+}
+
+/* Styles for ui-components */
+.jp-Button {
+  color: var(--jp-ui-font-color2);
+  border-radius: var(--jp-border-radius);
+  padding: 0 12px;
+  font-size: var(--jp-ui-font-size1);
+
+  /* Copy from blueprint 3 */
+  display: inline-flex;
+  flex-direction: row;
+  border: none;
+  cursor: pointer;
+  align-items: center;
+  justify-content: center;
+  text-align: left;
+  vertical-align: middle;
+  min-height: 30px;
+  min-width: 30px;
+}
+
+.jp-Button:disabled {
+  cursor: not-allowed;
+}
+
+.jp-Button:empty {
+  padding: 0 !important;
+}
+
+.jp-Button.jp-mod-small {
+  min-height: 24px;
+  min-width: 24px;
+  font-size: 12px;
+  padding: 0 7px;
+}
+
+/* Use our own theme for hover styles */
+.jp-Button.jp-mod-minimal:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-Button.jp-mod-minimal {
+  background: none;
+}
+
+.jp-InputGroup {
+  display: block;
+  position: relative;
+}
+
+.jp-InputGroup input {
+  box-sizing: border-box;
+  border: none;
+  border-radius: 0;
+  background-color: transparent;
+  color: var(--jp-ui-font-color0);
+  box-shadow: inset 0 0 0 var(--jp-border-width) var(--jp-input-border-color);
+  padding-bottom: 0;
+  padding-top: 0;
+  padding-left: 10px;
+  padding-right: 28px;
+  position: relative;
+  width: 100%;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+  appearance: none;
+  font-size: 14px;
+  font-weight: 400;
+  height: 30px;
+  line-height: 30px;
+  outline: none;
+  vertical-align: middle;
+}
+
+.jp-InputGroup input:focus {
+  box-shadow: inset 0 0 0 var(--jp-border-width)
+      var(--jp-input-active-box-shadow-color),
+    inset 0 0 0 3px var(--jp-input-active-box-shadow-color);
+}
+
+.jp-InputGroup input:disabled {
+  cursor: not-allowed;
+  resize: block;
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-InputGroup input:disabled ~ span {
+  cursor: not-allowed;
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-InputGroup input::placeholder,
+input::placeholder {
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-InputGroupAction {
+  position: absolute;
+  bottom: 1px;
+  right: 0;
+  padding: 6px;
+}
+
+.jp-HTMLSelect.jp-DefaultStyle select {
+  background-color: initial;
+  border: none;
+  border-radius: 0;
+  box-shadow: none;
+  color: var(--jp-ui-font-color0);
+  display: block;
+  font-size: var(--jp-ui-font-size1);
+  font-family: var(--jp-ui-font-family);
+  height: 24px;
+  line-height: 14px;
+  padding: 0 25px 0 10px;
+  text-align: left;
+  -moz-appearance: none;
+  -webkit-appearance: none;
+}
+
+.jp-HTMLSelect.jp-DefaultStyle select:disabled {
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color2);
+  cursor: not-allowed;
+  resize: block;
+}
+
+.jp-HTMLSelect.jp-DefaultStyle select:disabled ~ span {
+  cursor: not-allowed;
+}
+
+/* Use our own theme for hover and option styles */
+/* stylelint-disable-next-line selector-max-type */
+.jp-HTMLSelect.jp-DefaultStyle select:hover,
+.jp-HTMLSelect.jp-DefaultStyle select > option {
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color0);
+}
+
+select {
+  box-sizing: border-box;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Styles
+|----------------------------------------------------------------------------*/
+
+.jp-StatusBar-Widget {
+  display: flex;
+  align-items: center;
+  background: var(--jp-layout-color2);
+  min-height: var(--jp-statusbar-height);
+  justify-content: space-between;
+  padding: 0 10px;
+}
+
+.jp-StatusBar-Left {
+  display: flex;
+  align-items: center;
+  flex-direction: row;
+}
+
+.jp-StatusBar-Middle {
+  display: flex;
+  align-items: center;
+}
+
+.jp-StatusBar-Right {
+  display: flex;
+  align-items: center;
+  flex-direction: row-reverse;
+}
+
+.jp-StatusBar-Item {
+  max-height: var(--jp-statusbar-height);
+  margin: 0 2px;
+  height: var(--jp-statusbar-height);
+  white-space: nowrap;
+  text-overflow: ellipsis;
+  color: var(--jp-ui-font-color1);
+  padding: 0 6px;
+}
+
+.jp-mod-highlighted:hover {
+  background-color: var(--jp-layout-color3);
+}
+
+.jp-mod-clicked {
+  background-color: var(--jp-brand-color1);
+}
+
+.jp-mod-clicked:hover {
+  background-color: var(--jp-brand-color0);
+}
+
+.jp-mod-clicked .jp-StatusBar-TextItem {
+  color: var(--jp-ui-inverse-font-color1);
+}
+
+.jp-StatusBar-HoverItem {
+  box-shadow: '0px 4px 4px rgba(0, 0, 0, 0.25)';
+}
+
+.jp-StatusBar-TextItem {
+  font-size: var(--jp-ui-font-size1);
+  font-family: var(--jp-ui-font-family);
+  line-height: 24px;
+  color: var(--jp-ui-font-color1);
+}
+
+.jp-StatusBar-GroupItem {
+  display: flex;
+  align-items: center;
+  flex-direction: row;
+}
+
+.jp-Statusbar-ProgressCircle svg {
+  display: block;
+  margin: 0 auto;
+  width: 16px;
+  height: 24px;
+  align-self: normal;
+}
+
+.jp-Statusbar-ProgressCircle path {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-Statusbar-ProgressBar-progress-bar {
+  height: 10px;
+  width: 100px;
+  border: solid 0.25px var(--jp-brand-color2);
+  border-radius: 3px;
+  overflow: hidden;
+  align-self: center;
+}
+
+.jp-Statusbar-ProgressBar-progress-bar > div {
+  background-color: var(--jp-brand-color2);
+  background-image: linear-gradient(
+    -45deg,
+    rgba(255, 255, 255, 0.2) 25%,
+    transparent 25%,
+    transparent 50%,
+    rgba(255, 255, 255, 0.2) 50%,
+    rgba(255, 255, 255, 0.2) 75%,
+    transparent 75%,
+    transparent
+  );
+  background-size: 40px 40px;
+  float: left;
+  width: 0%;
+  height: 100%;
+  font-size: 12px;
+  line-height: 14px;
+  color: #fff;
+  text-align: center;
+  animation: jp-Statusbar-ExecutionTime-progress-bar 2s linear infinite;
+}
+
+.jp-Statusbar-ProgressBar-progress-bar p {
+  color: var(--jp-ui-font-color1);
+  font-family: var(--jp-ui-font-family);
+  font-size: var(--jp-ui-font-size1);
+  line-height: 10px;
+  width: 100px;
+}
+
+@keyframes jp-Statusbar-ExecutionTime-progress-bar {
+  0% {
+    background-position: 0 0;
+  }
+
+  100% {
+    background-position: 40px 40px;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-commandpalette-search-height: 28px;
+}
+
+/*-----------------------------------------------------------------------------
+| Overall styles
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette {
+  padding-bottom: 0;
+  color: var(--jp-ui-font-color1);
+  background: var(--jp-layout-color1);
+
+  /* This is needed so that all font sizing of children done in ems is
+   * relative to this base size */
+  font-size: var(--jp-ui-font-size1);
+}
+
+/*-----------------------------------------------------------------------------
+| Modal variant
+|----------------------------------------------------------------------------*/
+
+.jp-ModalCommandPalette {
+  position: absolute;
+  z-index: 10000;
+  top: 38px;
+  left: 30%;
+  margin: 0;
+  padding: 4px;
+  width: 40%;
+  box-shadow: var(--jp-elevation-z4);
+  border-radius: 4px;
+  background: var(--jp-layout-color0);
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette {
+  max-height: 40vh;
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette .lm-close-icon::after {
+  display: none;
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette .lm-CommandPalette-header {
+  display: none;
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette .lm-CommandPalette-item {
+  margin-left: 4px;
+  margin-right: 4px;
+}
+
+.jp-ModalCommandPalette
+  .lm-CommandPalette
+  .lm-CommandPalette-item.lm-mod-disabled {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Search
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette-search {
+  padding: 4px;
+  background-color: var(--jp-layout-color1);
+  z-index: 2;
+}
+
+.lm-CommandPalette-wrapper {
+  overflow: overlay;
+  padding: 0 9px;
+  background-color: var(--jp-input-active-background);
+  height: 30px;
+  box-shadow: inset 0 0 0 var(--jp-border-width) var(--jp-input-border-color);
+}
+
+.lm-CommandPalette.lm-mod-focused .lm-CommandPalette-wrapper {
+  box-shadow: inset 0 0 0 1px var(--jp-input-active-box-shadow-color),
+    inset 0 0 0 3px var(--jp-input-active-box-shadow-color);
+}
+
+.jp-SearchIconGroup {
+  color: white;
+  background-color: var(--jp-brand-color1);
+  position: absolute;
+  top: 4px;
+  right: 4px;
+  padding: 5px 5px 1px;
+}
+
+.jp-SearchIconGroup svg {
+  height: 20px;
+  width: 20px;
+}
+
+.jp-SearchIconGroup .jp-icon3[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.lm-CommandPalette-input {
+  background: transparent;
+  width: calc(100% - 18px);
+  float: left;
+  border: none;
+  outline: none;
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color0);
+  line-height: var(--jp-private-commandpalette-search-height);
+}
+
+.lm-CommandPalette-input::-webkit-input-placeholder,
+.lm-CommandPalette-input::-moz-placeholder,
+.lm-CommandPalette-input:-ms-input-placeholder {
+  color: var(--jp-ui-font-color2);
+  font-size: var(--jp-ui-font-size1);
+}
+
+/*-----------------------------------------------------------------------------
+| Results
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette-header:first-child {
+  margin-top: 0;
+}
+
+.lm-CommandPalette-header {
+  border-bottom: solid var(--jp-border-width) var(--jp-border-color2);
+  color: var(--jp-ui-font-color1);
+  cursor: pointer;
+  display: flex;
+  font-size: var(--jp-ui-font-size0);
+  font-weight: 600;
+  letter-spacing: 1px;
+  margin-top: 8px;
+  padding: 8px 0 8px 12px;
+  text-transform: uppercase;
+}
+
+.lm-CommandPalette-header.lm-mod-active {
+  background: var(--jp-layout-color2);
+}
+
+.lm-CommandPalette-header > mark {
+  background-color: transparent;
+  font-weight: bold;
+  color: var(--jp-ui-font-color1);
+}
+
+.lm-CommandPalette-item {
+  padding: 4px 12px 4px 4px;
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  font-weight: 400;
+  display: flex;
+}
+
+.lm-CommandPalette-item.lm-mod-disabled {
+  color: var(--jp-ui-font-color2);
+}
+
+.lm-CommandPalette-item.lm-mod-active {
+  color: var(--jp-ui-inverse-font-color1);
+  background: var(--jp-brand-color1);
+}
+
+.lm-CommandPalette-item.lm-mod-active .lm-CommandPalette-itemLabel > mark {
+  color: var(--jp-ui-inverse-font-color0);
+}
+
+.lm-CommandPalette-item.lm-mod-active .jp-icon-selectable[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.lm-CommandPalette-item.lm-mod-active:hover:not(.lm-mod-disabled) {
+  color: var(--jp-ui-inverse-font-color1);
+  background: var(--jp-brand-color1);
+}
+
+.lm-CommandPalette-item:hover:not(.lm-mod-active):not(.lm-mod-disabled) {
+  background: var(--jp-layout-color2);
+}
+
+.lm-CommandPalette-itemContent {
+  overflow: hidden;
+}
+
+.lm-CommandPalette-itemLabel > mark {
+  color: var(--jp-ui-font-color0);
+  background-color: transparent;
+  font-weight: bold;
+}
+
+.lm-CommandPalette-item.lm-mod-disabled mark {
+  color: var(--jp-ui-font-color2);
+}
+
+.lm-CommandPalette-item .lm-CommandPalette-itemIcon {
+  margin: 0 4px 0 0;
+  position: relative;
+  width: 16px;
+  top: 2px;
+  flex: 0 0 auto;
+}
+
+.lm-CommandPalette-item.lm-mod-disabled .lm-CommandPalette-itemIcon {
+  opacity: 0.6;
+}
+
+.lm-CommandPalette-item .lm-CommandPalette-itemShortcut {
+  flex: 0 0 auto;
+}
+
+.lm-CommandPalette-itemCaption {
+  display: none;
+}
+
+.lm-CommandPalette-content {
+  background-color: var(--jp-layout-color1);
+}
+
+.lm-CommandPalette-content:empty::after {
+  content: 'No results';
+  margin: auto;
+  margin-top: 20px;
+  width: 100px;
+  display: block;
+  font-size: var(--jp-ui-font-size2);
+  font-family: var(--jp-ui-font-family);
+  font-weight: lighter;
+}
+
+.lm-CommandPalette-emptyMessage {
+  text-align: center;
+  margin-top: 24px;
+  line-height: 1.32;
+  padding: 0 8px;
+  color: var(--jp-content-font-color3);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Dialog {
+  position: absolute;
+  z-index: 10000;
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  justify-content: center;
+  top: 0;
+  left: 0;
+  margin: 0;
+  padding: 0;
+  width: 100%;
+  height: 100%;
+  background: var(--jp-dialog-background);
+}
+
+.jp-Dialog-content {
+  display: flex;
+  flex-direction: column;
+  margin-left: auto;
+  margin-right: auto;
+  background: var(--jp-layout-color1);
+  padding: 24px 24px 12px;
+  min-width: 300px;
+  min-height: 150px;
+  max-width: 1000px;
+  max-height: 500px;
+  box-sizing: border-box;
+  box-shadow: var(--jp-elevation-z20);
+  word-wrap: break-word;
+  border-radius: var(--jp-border-radius);
+
+  /* This is needed so that all font sizing of children done in ems is
+   * relative to this base size */
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color1);
+  resize: both;
+}
+
+.jp-Dialog-content.jp-Dialog-content-small {
+  max-width: 500px;
+}
+
+.jp-Dialog-button {
+  overflow: visible;
+}
+
+button.jp-Dialog-button:focus {
+  outline: 1px solid var(--jp-brand-color1);
+  outline-offset: 4px;
+  -moz-outline-radius: 0;
+}
+
+button.jp-Dialog-button:focus::-moz-focus-inner {
+  border: 0;
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-accept:focus,
+button.jp-Dialog-button.jp-mod-styled.jp-mod-warn:focus,
+button.jp-Dialog-button.jp-mod-styled.jp-mod-reject:focus {
+  outline-offset: 4px;
+  -moz-outline-radius: 0;
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-accept:focus {
+  outline: 1px solid var(--jp-accept-color-normal, var(--jp-brand-color1));
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-warn:focus {
+  outline: 1px solid var(--jp-warn-color-normal, var(--jp-error-color1));
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-reject:focus {
+  outline: 1px solid var(--jp-reject-color-normal, var(--md-grey-600));
+}
+
+button.jp-Dialog-close-button {
+  padding: 0;
+  height: 100%;
+  min-width: unset;
+  min-height: unset;
+}
+
+.jp-Dialog-header {
+  display: flex;
+  justify-content: space-between;
+  flex: 0 0 auto;
+  padding-bottom: 12px;
+  font-size: var(--jp-ui-font-size3);
+  font-weight: 400;
+  color: var(--jp-ui-font-color1);
+}
+
+.jp-Dialog-body {
+  display: flex;
+  flex-direction: column;
+  flex: 1 1 auto;
+  font-size: var(--jp-ui-font-size1);
+  background: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  overflow: auto;
+}
+
+.jp-Dialog-footer {
+  display: flex;
+  flex-direction: row;
+  justify-content: flex-end;
+  align-items: center;
+  flex: 0 0 auto;
+  margin-left: -12px;
+  margin-right: -12px;
+  padding: 12px;
+}
+
+.jp-Dialog-checkbox {
+  padding-right: 5px;
+}
+
+.jp-Dialog-checkbox > input:focus-visible {
+  outline: 1px solid var(--jp-input-active-border-color);
+  outline-offset: 1px;
+}
+
+.jp-Dialog-spacer {
+  flex: 1 1 auto;
+}
+
+.jp-Dialog-title {
+  overflow: hidden;
+  white-space: nowrap;
+  text-overflow: ellipsis;
+}
+
+.jp-Dialog-body > .jp-select-wrapper {
+  width: 100%;
+}
+
+.jp-Dialog-body > button {
+  padding: 0 16px;
+}
+
+.jp-Dialog-body > label {
+  line-height: 1.4;
+  color: var(--jp-ui-font-color0);
+}
+
+.jp-Dialog-button.jp-mod-styled:not(:last-child) {
+  margin-right: 12px;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-Input-Boolean-Dialog {
+  flex-direction: row-reverse;
+  align-items: end;
+  width: 100%;
+}
+
+.jp-Input-Boolean-Dialog > label {
+  flex: 1 1 auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-MainAreaWidget > :focus {
+  outline: none;
+}
+
+.jp-MainAreaWidget .jp-MainAreaWidget-error {
+  padding: 6px;
+}
+
+.jp-MainAreaWidget .jp-MainAreaWidget-error > pre {
+  width: auto;
+  padding: 10px;
+  background: var(--jp-error-color3);
+  border: var(--jp-border-width) solid var(--jp-error-color1);
+  border-radius: var(--jp-border-radius);
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  white-space: pre-wrap;
+  word-wrap: break-word;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/**
+ * google-material-color v1.2.6
+ * https://github.com/danlevan/google-material-color
+ */
+:root {
+  --md-red-50: #ffebee;
+  --md-red-100: #ffcdd2;
+  --md-red-200: #ef9a9a;
+  --md-red-300: #e57373;
+  --md-red-400: #ef5350;
+  --md-red-500: #f44336;
+  --md-red-600: #e53935;
+  --md-red-700: #d32f2f;
+  --md-red-800: #c62828;
+  --md-red-900: #b71c1c;
+  --md-red-A100: #ff8a80;
+  --md-red-A200: #ff5252;
+  --md-red-A400: #ff1744;
+  --md-red-A700: #d50000;
+  --md-pink-50: #fce4ec;
+  --md-pink-100: #f8bbd0;
+  --md-pink-200: #f48fb1;
+  --md-pink-300: #f06292;
+  --md-pink-400: #ec407a;
+  --md-pink-500: #e91e63;
+  --md-pink-600: #d81b60;
+  --md-pink-700: #c2185b;
+  --md-pink-800: #ad1457;
+  --md-pink-900: #880e4f;
+  --md-pink-A100: #ff80ab;
+  --md-pink-A200: #ff4081;
+  --md-pink-A400: #f50057;
+  --md-pink-A700: #c51162;
+  --md-purple-50: #f3e5f5;
+  --md-purple-100: #e1bee7;
+  --md-purple-200: #ce93d8;
+  --md-purple-300: #ba68c8;
+  --md-purple-400: #ab47bc;
+  --md-purple-500: #9c27b0;
+  --md-purple-600: #8e24aa;
+  --md-purple-700: #7b1fa2;
+  --md-purple-800: #6a1b9a;
+  --md-purple-900: #4a148c;
+  --md-purple-A100: #ea80fc;
+  --md-purple-A200: #e040fb;
+  --md-purple-A400: #d500f9;
+  --md-purple-A700: #a0f;
+  --md-deep-purple-50: #ede7f6;
+  --md-deep-purple-100: #d1c4e9;
+  --md-deep-purple-200: #b39ddb;
+  --md-deep-purple-300: #9575cd;
+  --md-deep-purple-400: #7e57c2;
+  --md-deep-purple-500: #673ab7;
+  --md-deep-purple-600: #5e35b1;
+  --md-deep-purple-700: #512da8;
+  --md-deep-purple-800: #4527a0;
+  --md-deep-purple-900: #311b92;
+  --md-deep-purple-A100: #b388ff;
+  --md-deep-purple-A200: #7c4dff;
+  --md-deep-purple-A400: #651fff;
+  --md-deep-purple-A700: #6200ea;
+  --md-indigo-50: #e8eaf6;
+  --md-indigo-100: #c5cae9;
+  --md-indigo-200: #9fa8da;
+  --md-indigo-300: #7986cb;
+  --md-indigo-400: #5c6bc0;
+  --md-indigo-500: #3f51b5;
+  --md-indigo-600: #3949ab;
+  --md-indigo-700: #303f9f;
+  --md-indigo-800: #283593;
+  --md-indigo-900: #1a237e;
+  --md-indigo-A100: #8c9eff;
+  --md-indigo-A200: #536dfe;
+  --md-indigo-A400: #3d5afe;
+  --md-indigo-A700: #304ffe;
+  --md-blue-50: #e3f2fd;
+  --md-blue-100: #bbdefb;
+  --md-blue-200: #90caf9;
+  --md-blue-300: #64b5f6;
+  --md-blue-400: #42a5f5;
+  --md-blue-500: #2196f3;
+  --md-blue-600: #1e88e5;
+  --md-blue-700: #1976d2;
+  --md-blue-800: #1565c0;
+  --md-blue-900: #0d47a1;
+  --md-blue-A100: #82b1ff;
+  --md-blue-A200: #448aff;
+  --md-blue-A400: #2979ff;
+  --md-blue-A700: #2962ff;
+  --md-light-blue-50: #e1f5fe;
+  --md-light-blue-100: #b3e5fc;
+  --md-light-blue-200: #81d4fa;
+  --md-light-blue-300: #4fc3f7;
+  --md-light-blue-400: #29b6f6;
+  --md-light-blue-500: #03a9f4;
+  --md-light-blue-600: #039be5;
+  --md-light-blue-700: #0288d1;
+  --md-light-blue-800: #0277bd;
+  --md-light-blue-900: #01579b;
+  --md-light-blue-A100: #80d8ff;
+  --md-light-blue-A200: #40c4ff;
+  --md-light-blue-A400: #00b0ff;
+  --md-light-blue-A700: #0091ea;
+  --md-cyan-50: #e0f7fa;
+  --md-cyan-100: #b2ebf2;
+  --md-cyan-200: #80deea;
+  --md-cyan-300: #4dd0e1;
+  --md-cyan-400: #26c6da;
+  --md-cyan-500: #00bcd4;
+  --md-cyan-600: #00acc1;
+  --md-cyan-700: #0097a7;
+  --md-cyan-800: #00838f;
+  --md-cyan-900: #006064;
+  --md-cyan-A100: #84ffff;
+  --md-cyan-A200: #18ffff;
+  --md-cyan-A400: #00e5ff;
+  --md-cyan-A700: #00b8d4;
+  --md-teal-50: #e0f2f1;
+  --md-teal-100: #b2dfdb;
+  --md-teal-200: #80cbc4;
+  --md-teal-300: #4db6ac;
+  --md-teal-400: #26a69a;
+  --md-teal-500: #009688;
+  --md-teal-600: #00897b;
+  --md-teal-700: #00796b;
+  --md-teal-800: #00695c;
+  --md-teal-900: #004d40;
+  --md-teal-A100: #a7ffeb;
+  --md-teal-A200: #64ffda;
+  --md-teal-A400: #1de9b6;
+  --md-teal-A700: #00bfa5;
+  --md-green-50: #e8f5e9;
+  --md-green-100: #c8e6c9;
+  --md-green-200: #a5d6a7;
+  --md-green-300: #81c784;
+  --md-green-400: #66bb6a;
+  --md-green-500: #4caf50;
+  --md-green-600: #43a047;
+  --md-green-700: #388e3c;
+  --md-green-800: #2e7d32;
+  --md-green-900: #1b5e20;
+  --md-green-A100: #b9f6ca;
+  --md-green-A200: #69f0ae;
+  --md-green-A400: #00e676;
+  --md-green-A700: #00c853;
+  --md-light-green-50: #f1f8e9;
+  --md-light-green-100: #dcedc8;
+  --md-light-green-200: #c5e1a5;
+  --md-light-green-300: #aed581;
+  --md-light-green-400: #9ccc65;
+  --md-light-green-500: #8bc34a;
+  --md-light-green-600: #7cb342;
+  --md-light-green-700: #689f38;
+  --md-light-green-800: #558b2f;
+  --md-light-green-900: #33691e;
+  --md-light-green-A100: #ccff90;
+  --md-light-green-A200: #b2ff59;
+  --md-light-green-A400: #76ff03;
+  --md-light-green-A700: #64dd17;
+  --md-lime-50: #f9fbe7;
+  --md-lime-100: #f0f4c3;
+  --md-lime-200: #e6ee9c;
+  --md-lime-300: #dce775;
+  --md-lime-400: #d4e157;
+  --md-lime-500: #cddc39;
+  --md-lime-600: #c0ca33;
+  --md-lime-700: #afb42b;
+  --md-lime-800: #9e9d24;
+  --md-lime-900: #827717;
+  --md-lime-A100: #f4ff81;
+  --md-lime-A200: #eeff41;
+  --md-lime-A400: #c6ff00;
+  --md-lime-A700: #aeea00;
+  --md-yellow-50: #fffde7;
+  --md-yellow-100: #fff9c4;
+  --md-yellow-200: #fff59d;
+  --md-yellow-300: #fff176;
+  --md-yellow-400: #ffee58;
+  --md-yellow-500: #ffeb3b;
+  --md-yellow-600: #fdd835;
+  --md-yellow-700: #fbc02d;
+  --md-yellow-800: #f9a825;
+  --md-yellow-900: #f57f17;
+  --md-yellow-A100: #ffff8d;
+  --md-yellow-A200: #ff0;
+  --md-yellow-A400: #ffea00;
+  --md-yellow-A700: #ffd600;
+  --md-amber-50: #fff8e1;
+  --md-amber-100: #ffecb3;
+  --md-amber-200: #ffe082;
+  --md-amber-300: #ffd54f;
+  --md-amber-400: #ffca28;
+  --md-amber-500: #ffc107;
+  --md-amber-600: #ffb300;
+  --md-amber-700: #ffa000;
+  --md-amber-800: #ff8f00;
+  --md-amber-900: #ff6f00;
+  --md-amber-A100: #ffe57f;
+  --md-amber-A200: #ffd740;
+  --md-amber-A400: #ffc400;
+  --md-amber-A700: #ffab00;
+  --md-orange-50: #fff3e0;
+  --md-orange-100: #ffe0b2;
+  --md-orange-200: #ffcc80;
+  --md-orange-300: #ffb74d;
+  --md-orange-400: #ffa726;
+  --md-orange-500: #ff9800;
+  --md-orange-600: #fb8c00;
+  --md-orange-700: #f57c00;
+  --md-orange-800: #ef6c00;
+  --md-orange-900: #e65100;
+  --md-orange-A100: #ffd180;
+  --md-orange-A200: #ffab40;
+  --md-orange-A400: #ff9100;
+  --md-orange-A700: #ff6d00;
+  --md-deep-orange-50: #fbe9e7;
+  --md-deep-orange-100: #ffccbc;
+  --md-deep-orange-200: #ffab91;
+  --md-deep-orange-300: #ff8a65;
+  --md-deep-orange-400: #ff7043;
+  --md-deep-orange-500: #ff5722;
+  --md-deep-orange-600: #f4511e;
+  --md-deep-orange-700: #e64a19;
+  --md-deep-orange-800: #d84315;
+  --md-deep-orange-900: #bf360c;
+  --md-deep-orange-A100: #ff9e80;
+  --md-deep-orange-A200: #ff6e40;
+  --md-deep-orange-A400: #ff3d00;
+  --md-deep-orange-A700: #dd2c00;
+  --md-brown-50: #efebe9;
+  --md-brown-100: #d7ccc8;
+  --md-brown-200: #bcaaa4;
+  --md-brown-300: #a1887f;
+  --md-brown-400: #8d6e63;
+  --md-brown-500: #795548;
+  --md-brown-600: #6d4c41;
+  --md-brown-700: #5d4037;
+  --md-brown-800: #4e342e;
+  --md-brown-900: #3e2723;
+  --md-grey-50: #fafafa;
+  --md-grey-100: #f5f5f5;
+  --md-grey-200: #eee;
+  --md-grey-300: #e0e0e0;
+  --md-grey-400: #bdbdbd;
+  --md-grey-500: #9e9e9e;
+  --md-grey-600: #757575;
+  --md-grey-700: #616161;
+  --md-grey-800: #424242;
+  --md-grey-900: #212121;
+  --md-blue-grey-50: #eceff1;
+  --md-blue-grey-100: #cfd8dc;
+  --md-blue-grey-200: #b0bec5;
+  --md-blue-grey-300: #90a4ae;
+  --md-blue-grey-400: #78909c;
+  --md-blue-grey-500: #607d8b;
+  --md-blue-grey-600: #546e7a;
+  --md-blue-grey-700: #455a64;
+  --md-blue-grey-800: #37474f;
+  --md-blue-grey-900: #263238;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| RenderedText
+|----------------------------------------------------------------------------*/
+
+:root {
+  /* This is the padding value to fill the gaps between lines containing spans with background color. */
+  --jp-private-code-span-padding: calc(
+    (var(--jp-code-line-height) - 1) * var(--jp-code-font-size) / 2
+  );
+}
+
+.jp-RenderedText {
+  text-align: left;
+  padding-left: var(--jp-code-padding);
+  line-height: var(--jp-code-line-height);
+  font-family: var(--jp-code-font-family);
+}
+
+.jp-RenderedText pre,
+.jp-RenderedJavaScript pre,
+.jp-RenderedHTMLCommon pre {
+  color: var(--jp-content-font-color1);
+  font-size: var(--jp-code-font-size);
+  border: none;
+  margin: 0;
+  padding: 0;
+}
+
+.jp-RenderedText pre a:link {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+.jp-RenderedText pre a:hover {
+  text-decoration: underline;
+  color: var(--jp-content-link-color);
+}
+
+.jp-RenderedText pre a:visited {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+/* console foregrounds and backgrounds */
+.jp-RenderedText pre .ansi-black-fg {
+  color: #3e424d;
+}
+
+.jp-RenderedText pre .ansi-red-fg {
+  color: #e75c58;
+}
+
+.jp-RenderedText pre .ansi-green-fg {
+  color: #00a250;
+}
+
+.jp-RenderedText pre .ansi-yellow-fg {
+  color: #ddb62b;
+}
+
+.jp-RenderedText pre .ansi-blue-fg {
+  color: #208ffb;
+}
+
+.jp-RenderedText pre .ansi-magenta-fg {
+  color: #d160c4;
+}
+
+.jp-RenderedText pre .ansi-cyan-fg {
+  color: #60c6c8;
+}
+
+.jp-RenderedText pre .ansi-white-fg {
+  color: #c5c1b4;
+}
+
+.jp-RenderedText pre .ansi-black-bg {
+  background-color: #3e424d;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-red-bg {
+  background-color: #e75c58;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-green-bg {
+  background-color: #00a250;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-yellow-bg {
+  background-color: #ddb62b;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-blue-bg {
+  background-color: #208ffb;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-magenta-bg {
+  background-color: #d160c4;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-cyan-bg {
+  background-color: #60c6c8;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-white-bg {
+  background-color: #c5c1b4;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-black-intense-fg {
+  color: #282c36;
+}
+
+.jp-RenderedText pre .ansi-red-intense-fg {
+  color: #b22b31;
+}
+
+.jp-RenderedText pre .ansi-green-intense-fg {
+  color: #007427;
+}
+
+.jp-RenderedText pre .ansi-yellow-intense-fg {
+  color: #b27d12;
+}
+
+.jp-RenderedText pre .ansi-blue-intense-fg {
+  color: #0065ca;
+}
+
+.jp-RenderedText pre .ansi-magenta-intense-fg {
+  color: #a03196;
+}
+
+.jp-RenderedText pre .ansi-cyan-intense-fg {
+  color: #258f8f;
+}
+
+.jp-RenderedText pre .ansi-white-intense-fg {
+  color: #a1a6b2;
+}
+
+.jp-RenderedText pre .ansi-black-intense-bg {
+  background-color: #282c36;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-red-intense-bg {
+  background-color: #b22b31;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-green-intense-bg {
+  background-color: #007427;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-yellow-intense-bg {
+  background-color: #b27d12;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-blue-intense-bg {
+  background-color: #0065ca;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-magenta-intense-bg {
+  background-color: #a03196;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-cyan-intense-bg {
+  background-color: #258f8f;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-white-intense-bg {
+  background-color: #a1a6b2;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-default-inverse-fg {
+  color: var(--jp-ui-inverse-font-color0);
+}
+
+.jp-RenderedText pre .ansi-default-inverse-bg {
+  background-color: var(--jp-inverse-layout-color0);
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-bold {
+  font-weight: bold;
+}
+
+.jp-RenderedText pre .ansi-underline {
+  text-decoration: underline;
+}
+
+.jp-RenderedText[data-mime-type='application/vnd.jupyter.stderr'] {
+  background: var(--jp-rendermime-error-background);
+  padding-top: var(--jp-code-padding);
+}
+
+/*-----------------------------------------------------------------------------
+| RenderedLatex
+|----------------------------------------------------------------------------*/
+
+.jp-RenderedLatex {
+  color: var(--jp-content-font-color1);
+  font-size: var(--jp-content-font-size1);
+  line-height: var(--jp-content-line-height);
+}
+
+/* Left-justify outputs.*/
+.jp-OutputArea-output.jp-RenderedLatex {
+  padding: var(--jp-code-padding);
+  text-align: left;
+}
+
+/*-----------------------------------------------------------------------------
+| RenderedHTML
+|----------------------------------------------------------------------------*/
+
+.jp-RenderedHTMLCommon {
+  color: var(--jp-content-font-color1);
+  font-family: var(--jp-content-font-family);
+  font-size: var(--jp-content-font-size1);
+  line-height: var(--jp-content-line-height);
+
+  /* Give a bit more R padding on Markdown text to keep line lengths reasonable */
+  padding-right: 20px;
+}
+
+.jp-RenderedHTMLCommon em {
+  font-style: italic;
+}
+
+.jp-RenderedHTMLCommon strong {
+  font-weight: bold;
+}
+
+.jp-RenderedHTMLCommon u {
+  text-decoration: underline;
+}
+
+.jp-RenderedHTMLCommon a:link {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+.jp-RenderedHTMLCommon a:hover {
+  text-decoration: underline;
+  color: var(--jp-content-link-color);
+}
+
+.jp-RenderedHTMLCommon a:visited {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+/* Headings */
+
+.jp-RenderedHTMLCommon h1,
+.jp-RenderedHTMLCommon h2,
+.jp-RenderedHTMLCommon h3,
+.jp-RenderedHTMLCommon h4,
+.jp-RenderedHTMLCommon h5,
+.jp-RenderedHTMLCommon h6 {
+  line-height: var(--jp-content-heading-line-height);
+  font-weight: var(--jp-content-heading-font-weight);
+  font-style: normal;
+  margin: var(--jp-content-heading-margin-top) 0
+    var(--jp-content-heading-margin-bottom) 0;
+}
+
+.jp-RenderedHTMLCommon h1:first-child,
+.jp-RenderedHTMLCommon h2:first-child,
+.jp-RenderedHTMLCommon h3:first-child,
+.jp-RenderedHTMLCommon h4:first-child,
+.jp-RenderedHTMLCommon h5:first-child,
+.jp-RenderedHTMLCommon h6:first-child {
+  margin-top: calc(0.5 * var(--jp-content-heading-margin-top));
+}
+
+.jp-RenderedHTMLCommon h1:last-child,
+.jp-RenderedHTMLCommon h2:last-child,
+.jp-RenderedHTMLCommon h3:last-child,
+.jp-RenderedHTMLCommon h4:last-child,
+.jp-RenderedHTMLCommon h5:last-child,
+.jp-RenderedHTMLCommon h6:last-child {
+  margin-bottom: calc(0.5 * var(--jp-content-heading-margin-bottom));
+}
+
+.jp-RenderedHTMLCommon h1 {
+  font-size: var(--jp-content-font-size5);
+}
+
+.jp-RenderedHTMLCommon h2 {
+  font-size: var(--jp-content-font-size4);
+}
+
+.jp-RenderedHTMLCommon h3 {
+  font-size: var(--jp-content-font-size3);
+}
+
+.jp-RenderedHTMLCommon h4 {
+  font-size: var(--jp-content-font-size2);
+}
+
+.jp-RenderedHTMLCommon h5 {
+  font-size: var(--jp-content-font-size1);
+}
+
+.jp-RenderedHTMLCommon h6 {
+  font-size: var(--jp-content-font-size0);
+}
+
+/* Lists */
+
+/* stylelint-disable selector-max-type, selector-max-compound-selectors */
+
+.jp-RenderedHTMLCommon ul:not(.list-inline),
+.jp-RenderedHTMLCommon ol:not(.list-inline) {
+  padding-left: 2em;
+}
+
+.jp-RenderedHTMLCommon ul {
+  list-style: disc;
+}
+
+.jp-RenderedHTMLCommon ul ul {
+  list-style: square;
+}
+
+.jp-RenderedHTMLCommon ul ul ul {
+  list-style: circle;
+}
+
+.jp-RenderedHTMLCommon ol {
+  list-style: decimal;
+}
+
+.jp-RenderedHTMLCommon ol ol {
+  list-style: upper-alpha;
+}
+
+.jp-RenderedHTMLCommon ol ol ol {
+  list-style: lower-alpha;
+}
+
+.jp-RenderedHTMLCommon ol ol ol ol {
+  list-style: lower-roman;
+}
+
+.jp-RenderedHTMLCommon ol ol ol ol ol {
+  list-style: decimal;
+}
+
+.jp-RenderedHTMLCommon ol,
+.jp-RenderedHTMLCommon ul {
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon ul ul,
+.jp-RenderedHTMLCommon ul ol,
+.jp-RenderedHTMLCommon ol ul,
+.jp-RenderedHTMLCommon ol ol {
+  margin-bottom: 0;
+}
+
+/* stylelint-enable selector-max-type, selector-max-compound-selectors */
+
+.jp-RenderedHTMLCommon hr {
+  color: var(--jp-border-color2);
+  background-color: var(--jp-border-color1);
+  margin-top: 1em;
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon > pre {
+  margin: 1.5em 2em;
+}
+
+.jp-RenderedHTMLCommon pre,
+.jp-RenderedHTMLCommon code {
+  border: 0;
+  background-color: var(--jp-layout-color0);
+  color: var(--jp-content-font-color1);
+  font-family: var(--jp-code-font-family);
+  font-size: inherit;
+  line-height: var(--jp-code-line-height);
+  padding: 0;
+  white-space: pre-wrap;
+}
+
+.jp-RenderedHTMLCommon :not(pre) > code {
+  background-color: var(--jp-layout-color2);
+  padding: 1px 5px;
+}
+
+/* Tables */
+
+.jp-RenderedHTMLCommon table {
+  border-collapse: collapse;
+  border-spacing: 0;
+  border: none;
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  table-layout: fixed;
+  margin-left: auto;
+  margin-bottom: 1em;
+  margin-right: auto;
+}
+
+.jp-RenderedHTMLCommon thead {
+  border-bottom: var(--jp-border-width) solid var(--jp-border-color1);
+  vertical-align: bottom;
+}
+
+.jp-RenderedHTMLCommon td,
+.jp-RenderedHTMLCommon th,
+.jp-RenderedHTMLCommon tr {
+  vertical-align: middle;
+  padding: 0.5em;
+  line-height: normal;
+  white-space: normal;
+  max-width: none;
+  border: none;
+}
+
+.jp-RenderedMarkdown.jp-RenderedHTMLCommon td,
+.jp-RenderedMarkdown.jp-RenderedHTMLCommon th {
+  max-width: none;
+}
+
+:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon td,
+:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon th,
+:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon tr {
+  text-align: right;
+}
+
+.jp-RenderedHTMLCommon th {
+  font-weight: bold;
+}
+
+.jp-RenderedHTMLCommon tbody tr:nth-child(odd) {
+  background: var(--jp-layout-color0);
+}
+
+.jp-RenderedHTMLCommon tbody tr:nth-child(even) {
+  background: var(--jp-rendermime-table-row-background);
+}
+
+.jp-RenderedHTMLCommon tbody tr:hover {
+  background: var(--jp-rendermime-table-row-hover-background);
+}
+
+.jp-RenderedHTMLCommon p {
+  text-align: left;
+  margin: 0;
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon img {
+  -moz-force-broken-image-icon: 1;
+}
+
+/* Restrict to direct children as other images could be nested in other content. */
+.jp-RenderedHTMLCommon > img {
+  display: block;
+  margin-left: 0;
+  margin-right: 0;
+  margin-bottom: 1em;
+}
+
+/* Change color behind transparent images if they need it... */
+[data-jp-theme-light='false'] .jp-RenderedImage img.jp-needs-light-background {
+  background-color: var(--jp-inverse-layout-color1);
+}
+
+[data-jp-theme-light='true'] .jp-RenderedImage img.jp-needs-dark-background {
+  background-color: var(--jp-inverse-layout-color1);
+}
+
+.jp-RenderedHTMLCommon img,
+.jp-RenderedImage img,
+.jp-RenderedHTMLCommon svg,
+.jp-RenderedSVG svg {
+  max-width: 100%;
+  height: auto;
+}
+
+.jp-RenderedHTMLCommon img.jp-mod-unconfined,
+.jp-RenderedImage img.jp-mod-unconfined,
+.jp-RenderedHTMLCommon svg.jp-mod-unconfined,
+.jp-RenderedSVG svg.jp-mod-unconfined {
+  max-width: none;
+}
+
+.jp-RenderedHTMLCommon .alert {
+  padding: var(--jp-notebook-padding);
+  border: var(--jp-border-width) solid transparent;
+  border-radius: var(--jp-border-radius);
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon .alert-info {
+  color: var(--jp-info-color0);
+  background-color: var(--jp-info-color3);
+  border-color: var(--jp-info-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-info hr {
+  border-color: var(--jp-info-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-info > p:last-child,
+.jp-RenderedHTMLCommon .alert-info > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon .alert-warning {
+  color: var(--jp-warn-color0);
+  background-color: var(--jp-warn-color3);
+  border-color: var(--jp-warn-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-warning hr {
+  border-color: var(--jp-warn-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-warning > p:last-child,
+.jp-RenderedHTMLCommon .alert-warning > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon .alert-success {
+  color: var(--jp-success-color0);
+  background-color: var(--jp-success-color3);
+  border-color: var(--jp-success-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-success hr {
+  border-color: var(--jp-success-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-success > p:last-child,
+.jp-RenderedHTMLCommon .alert-success > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon .alert-danger {
+  color: var(--jp-error-color0);
+  background-color: var(--jp-error-color3);
+  border-color: var(--jp-error-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-danger hr {
+  border-color: var(--jp-error-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-danger > p:last-child,
+.jp-RenderedHTMLCommon .alert-danger > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon blockquote {
+  margin: 1em 2em;
+  padding: 0 1em;
+  border-left: 5px solid var(--jp-border-color2);
+}
+
+a.jp-InternalAnchorLink {
+  visibility: hidden;
+  margin-left: 8px;
+  color: var(--md-blue-800);
+}
+
+h1:hover .jp-InternalAnchorLink,
+h2:hover .jp-InternalAnchorLink,
+h3:hover .jp-InternalAnchorLink,
+h4:hover .jp-InternalAnchorLink,
+h5:hover .jp-InternalAnchorLink,
+h6:hover .jp-InternalAnchorLink {
+  visibility: visible;
+}
+
+.jp-RenderedHTMLCommon kbd {
+  background-color: var(--jp-rendermime-table-row-background);
+  border: 1px solid var(--jp-border-color0);
+  border-bottom-color: var(--jp-border-color2);
+  border-radius: 3px;
+  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.25);
+  display: inline-block;
+  font-size: var(--jp-ui-font-size0);
+  line-height: 1em;
+  padding: 0.2em 0.5em;
+}
+
+/* Most direct children of .jp-RenderedHTMLCommon have a margin-bottom of 1.0.
+ * At the bottom of cells this is a bit too much as there is also spacing
+ * between cells. Going all the way to 0 gets too tight between markdown and
+ * code cells.
+ */
+.jp-RenderedHTMLCommon > *:last-child {
+  margin-bottom: 0.5em;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-cursor-backdrop {
+  position: fixed;
+  width: 200px;
+  height: 200px;
+  margin-top: -100px;
+  margin-left: -100px;
+  will-change: transform;
+  z-index: 100;
+}
+
+.lm-mod-drag-image {
+  will-change: transform;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-lineFormSearch {
+  padding: 4px 12px;
+  background-color: var(--jp-layout-color2);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  z-index: 2;
+  font-size: var(--jp-ui-font-size1);
+}
+
+.jp-lineFormCaption {
+  font-size: var(--jp-ui-font-size0);
+  line-height: var(--jp-ui-font-size1);
+  margin-top: 4px;
+  color: var(--jp-ui-font-color0);
+}
+
+.jp-baseLineForm {
+  border: none;
+  border-radius: 0;
+  position: absolute;
+  background-size: 16px;
+  background-repeat: no-repeat;
+  background-position: center;
+  outline: none;
+}
+
+.jp-lineFormButtonContainer {
+  top: 4px;
+  right: 8px;
+  height: 24px;
+  padding: 0 12px;
+  width: 12px;
+}
+
+.jp-lineFormButtonIcon {
+  top: 0;
+  right: 0;
+  background-color: var(--jp-brand-color1);
+  height: 100%;
+  width: 100%;
+  box-sizing: border-box;
+  padding: 4px 6px;
+}
+
+.jp-lineFormButton {
+  top: 0;
+  right: 0;
+  background-color: transparent;
+  height: 100%;
+  width: 100%;
+  box-sizing: border-box;
+}
+
+.jp-lineFormWrapper {
+  overflow: hidden;
+  padding: 0 8px;
+  border: 1px solid var(--jp-border-color0);
+  background-color: var(--jp-input-active-background);
+  height: 22px;
+}
+
+.jp-lineFormWrapperFocusWithin {
+  border: var(--jp-border-width) solid var(--md-blue-500);
+  box-shadow: inset 0 0 4px var(--md-blue-300);
+}
+
+.jp-lineFormInput {
+  background: transparent;
+  width: 200px;
+  height: 100%;
+  border: none;
+  outline: none;
+  color: var(--jp-ui-font-color0);
+  line-height: 28px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-JSONEditor {
+  display: flex;
+  flex-direction: column;
+  width: 100%;
+}
+
+.jp-JSONEditor-host {
+  flex: 1 1 auto;
+  border: var(--jp-border-width) solid var(--jp-input-border-color);
+  border-radius: 0;
+  background: var(--jp-layout-color0);
+  min-height: 50px;
+  padding: 1px;
+}
+
+.jp-JSONEditor.jp-mod-error .jp-JSONEditor-host {
+  border-color: red;
+  outline-color: red;
+}
+
+.jp-JSONEditor-header {
+  display: flex;
+  flex: 1 0 auto;
+  padding: 0 0 0 12px;
+}
+
+.jp-JSONEditor-header label {
+  flex: 0 0 auto;
+}
+
+.jp-JSONEditor-commitButton {
+  height: 16px;
+  width: 16px;
+  background-size: 18px;
+  background-repeat: no-repeat;
+  background-position: center;
+}
+
+.jp-JSONEditor-host.jp-mod-focused {
+  background-color: var(--jp-input-active-background);
+  border: 1px solid var(--jp-input-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+}
+
+.jp-Editor.jp-mod-dropTarget {
+  border: var(--jp-border-width) solid var(--jp-input-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+.jp-DocumentSearch-input {
+  border: none;
+  outline: none;
+  color: var(--jp-ui-font-color0);
+  font-size: var(--jp-ui-font-size1);
+  background-color: var(--jp-layout-color0);
+  font-family: var(--jp-ui-font-family);
+  padding: 2px 1px;
+  resize: none;
+}
+
+.jp-DocumentSearch-overlay {
+  position: absolute;
+  background-color: var(--jp-toolbar-background);
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  border-left: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  top: 0;
+  right: 0;
+  z-index: 7;
+  min-width: 405px;
+  padding: 2px;
+  font-size: var(--jp-ui-font-size1);
+
+  --jp-private-document-search-button-height: 20px;
+}
+
+.jp-DocumentSearch-overlay button {
+  background-color: var(--jp-toolbar-background);
+  outline: 0;
+}
+
+.jp-DocumentSearch-overlay button:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-overlay button:active {
+  background-color: var(--jp-layout-color3);
+}
+
+.jp-DocumentSearch-overlay-row {
+  display: flex;
+  align-items: center;
+  margin-bottom: 2px;
+}
+
+.jp-DocumentSearch-button-content {
+  display: inline-block;
+  cursor: pointer;
+  box-sizing: border-box;
+  width: 100%;
+  height: 100%;
+}
+
+.jp-DocumentSearch-button-content svg {
+  width: 100%;
+  height: 100%;
+}
+
+.jp-DocumentSearch-input-wrapper {
+  border: var(--jp-border-width) solid var(--jp-border-color0);
+  display: flex;
+  background-color: var(--jp-layout-color0);
+  margin: 2px;
+}
+
+.jp-DocumentSearch-input-wrapper:focus-within {
+  border-color: var(--jp-cell-editor-active-border-color);
+}
+
+.jp-DocumentSearch-toggle-wrapper,
+.jp-DocumentSearch-button-wrapper {
+  all: initial;
+  overflow: hidden;
+  display: inline-block;
+  border: none;
+  box-sizing: border-box;
+}
+
+.jp-DocumentSearch-toggle-wrapper {
+  width: 14px;
+  height: 14px;
+}
+
+.jp-DocumentSearch-button-wrapper {
+  width: var(--jp-private-document-search-button-height);
+  height: var(--jp-private-document-search-button-height);
+}
+
+.jp-DocumentSearch-toggle-wrapper:focus,
+.jp-DocumentSearch-button-wrapper:focus {
+  outline: var(--jp-border-width) solid
+    var(--jp-cell-editor-active-border-color);
+  outline-offset: -1px;
+}
+
+.jp-DocumentSearch-toggle-wrapper,
+.jp-DocumentSearch-button-wrapper,
+.jp-DocumentSearch-button-content:focus {
+  outline: none;
+}
+
+.jp-DocumentSearch-toggle-placeholder {
+  width: 5px;
+}
+
+.jp-DocumentSearch-input-button::before {
+  display: block;
+  padding-top: 100%;
+}
+
+.jp-DocumentSearch-input-button-off {
+  opacity: var(--jp-search-toggle-off-opacity);
+}
+
+.jp-DocumentSearch-input-button-off:hover {
+  opacity: var(--jp-search-toggle-hover-opacity);
+}
+
+.jp-DocumentSearch-input-button-on {
+  opacity: var(--jp-search-toggle-on-opacity);
+}
+
+.jp-DocumentSearch-index-counter {
+  padding-left: 10px;
+  padding-right: 10px;
+  user-select: none;
+  min-width: 35px;
+  display: inline-block;
+}
+
+.jp-DocumentSearch-up-down-wrapper {
+  display: inline-block;
+  padding-right: 2px;
+  margin-left: auto;
+  white-space: nowrap;
+}
+
+.jp-DocumentSearch-spacer {
+  margin-left: auto;
+}
+
+.jp-DocumentSearch-up-down-wrapper button {
+  outline: 0;
+  border: none;
+  width: var(--jp-private-document-search-button-height);
+  height: var(--jp-private-document-search-button-height);
+  vertical-align: middle;
+  margin: 1px 5px 2px;
+}
+
+.jp-DocumentSearch-up-down-button:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-up-down-button:active {
+  background-color: var(--jp-layout-color3);
+}
+
+.jp-DocumentSearch-filter-button {
+  border-radius: var(--jp-border-radius);
+}
+
+.jp-DocumentSearch-filter-button:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-filter-button-enabled {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-filter-button-enabled:hover {
+  background-color: var(--jp-layout-color3);
+}
+
+.jp-DocumentSearch-search-options {
+  padding: 0 8px;
+  margin-left: 3px;
+  width: 100%;
+  display: grid;
+  justify-content: start;
+  grid-template-columns: 1fr 1fr;
+  align-items: center;
+  justify-items: stretch;
+}
+
+.jp-DocumentSearch-search-filter-disabled {
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-DocumentSearch-search-filter {
+  display: flex;
+  align-items: center;
+  user-select: none;
+}
+
+.jp-DocumentSearch-regex-error {
+  color: var(--jp-error-color0);
+}
+
+.jp-DocumentSearch-replace-button-wrapper {
+  overflow: hidden;
+  display: inline-block;
+  box-sizing: border-box;
+  border: var(--jp-border-width) solid var(--jp-border-color0);
+  margin: auto 2px;
+  padding: 1px 4px;
+  height: calc(var(--jp-private-document-search-button-height) + 2px);
+}
+
+.jp-DocumentSearch-replace-button-wrapper:focus {
+  border: var(--jp-border-width) solid var(--jp-cell-editor-active-border-color);
+}
+
+.jp-DocumentSearch-replace-button {
+  display: inline-block;
+  text-align: center;
+  cursor: pointer;
+  box-sizing: border-box;
+  color: var(--jp-ui-font-color1);
+
+  /* height - 2 * (padding of wrapper) */
+  line-height: calc(var(--jp-private-document-search-button-height) - 2px);
+  width: 100%;
+  height: 100%;
+}
+
+.jp-DocumentSearch-replace-button:focus {
+  outline: none;
+}
+
+.jp-DocumentSearch-replace-wrapper-class {
+  margin-left: 14px;
+  display: flex;
+}
+
+.jp-DocumentSearch-replace-toggle {
+  border: none;
+  background-color: var(--jp-toolbar-background);
+  border-radius: var(--jp-border-radius);
+}
+
+.jp-DocumentSearch-replace-toggle:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.cm-editor {
+  line-height: var(--jp-code-line-height);
+  font-size: var(--jp-code-font-size);
+  font-family: var(--jp-code-font-family);
+  border: 0;
+  border-radius: 0;
+  height: auto;
+
+  /* Changed to auto to autogrow */
+}
+
+.cm-editor pre {
+  padding: 0 var(--jp-code-padding);
+}
+
+.jp-CodeMirrorEditor[data-type='inline'] .cm-dialog {
+  background-color: var(--jp-layout-color0);
+  color: var(--jp-content-font-color1);
+}
+
+.jp-CodeMirrorEditor {
+  cursor: text;
+}
+
+/* When zoomed out 67% and 33% on a screen of 1440 width x 900 height */
+@media screen and (min-width: 2138px) and (max-width: 4319px) {
+  .jp-CodeMirrorEditor[data-type='inline'] .cm-cursor {
+    border-left: var(--jp-code-cursor-width1) solid
+      var(--jp-editor-cursor-color);
+  }
+}
+
+/* When zoomed out less than 33% */
+@media screen and (min-width: 4320px) {
+  .jp-CodeMirrorEditor[data-type='inline'] .cm-cursor {
+    border-left: var(--jp-code-cursor-width2) solid
+      var(--jp-editor-cursor-color);
+  }
+}
+
+.cm-editor.jp-mod-readOnly .cm-cursor {
+  display: none;
+}
+
+.jp-CollaboratorCursor {
+  border-left: 5px solid transparent;
+  border-right: 5px solid transparent;
+  border-top: none;
+  border-bottom: 3px solid;
+  background-clip: content-box;
+  margin-left: -5px;
+  margin-right: -5px;
+}
+
+.cm-searching,
+.cm-searching span {
+  /* `.cm-searching span`: we need to override syntax highlighting */
+  background-color: var(--jp-search-unselected-match-background-color);
+  color: var(--jp-search-unselected-match-color);
+}
+
+.cm-searching::selection,
+.cm-searching span::selection {
+  background-color: var(--jp-search-unselected-match-background-color);
+  color: var(--jp-search-unselected-match-color);
+}
+
+.jp-current-match > .cm-searching,
+.jp-current-match > .cm-searching span,
+.cm-searching > .jp-current-match,
+.cm-searching > .jp-current-match span {
+  background-color: var(--jp-search-selected-match-background-color);
+  color: var(--jp-search-selected-match-color);
+}
+
+.jp-current-match > .cm-searching::selection,
+.cm-searching > .jp-current-match::selection,
+.jp-current-match > .cm-searching span::selection {
+  background-color: var(--jp-search-selected-match-background-color);
+  color: var(--jp-search-selected-match-color);
+}
+
+.cm-trailingspace {
+  background-image: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAgAAAAFCAYAAAB4ka1VAAAAsElEQVQIHQGlAFr/AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA7+r3zKmT0/+pk9P/7+r3zAAAAAAAAAAABAAAAAAAAAAA6OPzM+/q9wAAAAAA6OPzMwAAAAAAAAAAAgAAAAAAAAAAGR8NiRQaCgAZIA0AGR8NiQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQyoYJ/SY80UAAAAASUVORK5CYII=);
+  background-position: center left;
+  background-repeat: repeat-x;
+}
+
+.jp-CollaboratorCursor-hover {
+  position: absolute;
+  z-index: 1;
+  transform: translateX(-50%);
+  color: white;
+  border-radius: 3px;
+  padding-left: 4px;
+  padding-right: 4px;
+  padding-top: 1px;
+  padding-bottom: 1px;
+  text-align: center;
+  font-size: var(--jp-ui-font-size1);
+  white-space: nowrap;
+}
+
+.jp-CodeMirror-ruler {
+  border-left: 1px dashed var(--jp-border-color2);
+}
+
+/* Styles for shared cursors (remote cursor locations and selected ranges) */
+.jp-CodeMirrorEditor .cm-ySelectionCaret {
+  position: relative;
+  border-left: 1px solid black;
+  margin-left: -1px;
+  margin-right: -1px;
+  box-sizing: border-box;
+}
+
+.jp-CodeMirrorEditor .cm-ySelectionCaret > .cm-ySelectionInfo {
+  white-space: nowrap;
+  position: absolute;
+  top: -1.15em;
+  padding-bottom: 0.05em;
+  left: -1px;
+  font-size: 0.95em;
+  font-family: var(--jp-ui-font-family);
+  font-weight: bold;
+  line-height: normal;
+  user-select: none;
+  color: white;
+  padding-left: 2px;
+  padding-right: 2px;
+  z-index: 101;
+  transition: opacity 0.3s ease-in-out;
+}
+
+.jp-CodeMirrorEditor .cm-ySelectionInfo {
+  transition-delay: 0.7s;
+  opacity: 0;
+}
+
+.jp-CodeMirrorEditor .cm-ySelectionCaret:hover > .cm-ySelectionInfo {
+  opacity: 1;
+  transition-delay: 0s;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-MimeDocument {
+  outline: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-filebrowser-button-height: 28px;
+  --jp-private-filebrowser-button-width: 48px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-FileBrowser .jp-SidePanel-content {
+  display: flex;
+  flex-direction: column;
+}
+
+.jp-FileBrowser-toolbar.jp-Toolbar {
+  flex-wrap: wrap;
+  row-gap: 12px;
+  border-bottom: none;
+  height: auto;
+  margin: 8px 12px 0;
+  box-shadow: none;
+  padding: 0;
+  justify-content: flex-start;
+}
+
+.jp-FileBrowser-Panel {
+  flex: 1 1 auto;
+  display: flex;
+  flex-direction: column;
+}
+
+.jp-BreadCrumbs {
+  flex: 0 0 auto;
+  margin: 8px 12px;
+}
+
+.jp-BreadCrumbs-item {
+  margin: 0 2px;
+  padding: 0 2px;
+  border-radius: var(--jp-border-radius);
+  cursor: pointer;
+}
+
+.jp-BreadCrumbs-item:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-BreadCrumbs-item:first-child {
+  margin-left: 0;
+}
+
+.jp-BreadCrumbs-item.jp-mod-dropTarget {
+  background-color: var(--jp-brand-color2);
+  opacity: 0.7;
+}
+
+/*-----------------------------------------------------------------------------
+| Buttons
+|----------------------------------------------------------------------------*/
+
+.jp-FileBrowser-toolbar > .jp-Toolbar-item {
+  flex: 0 0 auto;
+  padding-left: 0;
+  padding-right: 2px;
+  align-items: center;
+  height: unset;
+}
+
+.jp-FileBrowser-toolbar > .jp-Toolbar-item .jp-ToolbarButtonComponent {
+  width: 40px;
+}
+
+/*-----------------------------------------------------------------------------
+| Other styles
+|----------------------------------------------------------------------------*/
+
+.jp-FileDialog.jp-mod-conflict input {
+  color: var(--jp-error-color1);
+}
+
+.jp-FileDialog .jp-new-name-title {
+  margin-top: 12px;
+}
+
+.jp-LastModified-hidden {
+  display: none;
+}
+
+.jp-FileSize-hidden {
+  display: none;
+}
+
+.jp-FileBrowser .lm-AccordionPanel > h3:first-child {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| DirListing
+|----------------------------------------------------------------------------*/
+
+.jp-DirListing {
+  flex: 1 1 auto;
+  display: flex;
+  flex-direction: column;
+  outline: 0;
+}
+
+.jp-DirListing-header {
+  flex: 0 0 auto;
+  display: flex;
+  flex-direction: row;
+  align-items: center;
+  overflow: hidden;
+  border-top: var(--jp-border-width) solid var(--jp-border-color2);
+  border-bottom: var(--jp-border-width) solid var(--jp-border-color1);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  z-index: 2;
+}
+
+.jp-DirListing-headerItem {
+  padding: 4px 12px 2px;
+  font-weight: 500;
+}
+
+.jp-DirListing-headerItem:hover {
+  background: var(--jp-layout-color2);
+}
+
+.jp-DirListing-headerItem.jp-id-name {
+  flex: 1 0 84px;
+}
+
+.jp-DirListing-headerItem.jp-id-modified {
+  flex: 0 0 112px;
+  border-left: var(--jp-border-width) solid var(--jp-border-color2);
+  text-align: right;
+}
+
+.jp-DirListing-headerItem.jp-id-filesize {
+  flex: 0 0 75px;
+  border-left: var(--jp-border-width) solid var(--jp-border-color2);
+  text-align: right;
+}
+
+.jp-id-narrow {
+  display: none;
+  flex: 0 0 5px;
+  padding: 4px;
+  border-left: var(--jp-border-width) solid var(--jp-border-color2);
+  text-align: right;
+  color: var(--jp-border-color2);
+}
+
+.jp-DirListing-narrow .jp-id-narrow {
+  display: block;
+}
+
+.jp-DirListing-narrow .jp-id-modified,
+.jp-DirListing-narrow .jp-DirListing-itemModified {
+  display: none;
+}
+
+.jp-DirListing-headerItem.jp-mod-selected {
+  font-weight: 600;
+}
+
+/* increase specificity to override bundled default */
+.jp-DirListing-content {
+  flex: 1 1 auto;
+  margin: 0;
+  padding: 0;
+  list-style-type: none;
+  overflow: auto;
+  background-color: var(--jp-layout-color1);
+}
+
+.jp-DirListing-content mark {
+  color: var(--jp-ui-font-color0);
+  background-color: transparent;
+  font-weight: bold;
+}
+
+.jp-DirListing-content .jp-DirListing-item.jp-mod-selected mark {
+  color: var(--jp-ui-inverse-font-color0);
+}
+
+/* Style the directory listing content when a user drops a file to upload */
+.jp-DirListing.jp-mod-native-drop .jp-DirListing-content {
+  outline: 5px dashed rgba(128, 128, 128, 0.5);
+  outline-offset: -10px;
+  cursor: copy;
+}
+
+.jp-DirListing-item {
+  display: flex;
+  flex-direction: row;
+  align-items: center;
+  padding: 4px 12px;
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.jp-DirListing-checkboxWrapper {
+  /* Increases hit area of checkbox. */
+  padding: 4px;
+}
+
+.jp-DirListing-header
+  .jp-DirListing-checkboxWrapper
+  + .jp-DirListing-headerItem {
+  padding-left: 4px;
+}
+
+.jp-DirListing-content .jp-DirListing-checkboxWrapper {
+  position: relative;
+  left: -4px;
+  margin: -4px 0 -4px -8px;
+}
+
+.jp-DirListing-checkboxWrapper.jp-mod-visible {
+  visibility: visible;
+}
+
+/* For devices that support hovering, hide checkboxes until hovered, selected...
+*/
+@media (hover: hover) {
+  .jp-DirListing-checkboxWrapper {
+    visibility: hidden;
+  }
+
+  .jp-DirListing-item:hover .jp-DirListing-checkboxWrapper,
+  .jp-DirListing-item.jp-mod-selected .jp-DirListing-checkboxWrapper {
+    visibility: visible;
+  }
+}
+
+.jp-DirListing-item[data-is-dot] {
+  opacity: 75%;
+}
+
+.jp-DirListing-item.jp-mod-selected {
+  color: var(--jp-ui-inverse-font-color1);
+  background: var(--jp-brand-color1);
+}
+
+.jp-DirListing-item.jp-mod-dropTarget {
+  background: var(--jp-brand-color3);
+}
+
+.jp-DirListing-item:hover:not(.jp-mod-selected) {
+  background: var(--jp-layout-color2);
+}
+
+.jp-DirListing-itemIcon {
+  flex: 0 0 20px;
+  margin-right: 4px;
+}
+
+.jp-DirListing-itemText {
+  flex: 1 0 64px;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+  user-select: none;
+}
+
+.jp-DirListing-itemText:focus {
+  outline-width: 2px;
+  outline-color: var(--jp-inverse-layout-color1);
+  outline-style: solid;
+  outline-offset: 1px;
+}
+
+.jp-DirListing-item.jp-mod-selected .jp-DirListing-itemText:focus {
+  outline-color: var(--jp-layout-color1);
+}
+
+.jp-DirListing-itemModified {
+  flex: 0 0 125px;
+  text-align: right;
+}
+
+.jp-DirListing-itemFileSize {
+  flex: 0 0 90px;
+  text-align: right;
+}
+
+.jp-DirListing-editor {
+  flex: 1 0 64px;
+  outline: none;
+  border: none;
+  color: var(--jp-ui-font-color1);
+  background-color: var(--jp-layout-color1);
+}
+
+.jp-DirListing-item.jp-mod-running .jp-DirListing-itemIcon::before {
+  color: var(--jp-success-color1);
+  content: '\25CF';
+  font-size: 8px;
+  position: absolute;
+  left: -8px;
+}
+
+.jp-DirListing-item.jp-mod-running.jp-mod-selected
+  .jp-DirListing-itemIcon::before {
+  color: var(--jp-ui-inverse-font-color1);
+}
+
+.jp-DirListing-item.lm-mod-drag-image,
+.jp-DirListing-item.jp-mod-selected.lm-mod-drag-image {
+  font-size: var(--jp-ui-font-size1);
+  padding-left: 4px;
+  margin-left: 4px;
+  width: 160px;
+  background-color: var(--jp-ui-inverse-font-color2);
+  box-shadow: var(--jp-elevation-z2);
+  border-radius: 0;
+  color: var(--jp-ui-font-color1);
+  transform: translateX(-40%) translateY(-58%);
+}
+
+.jp-Document {
+  min-width: 120px;
+  min-height: 120px;
+  outline: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Main OutputArea
+| OutputArea has a list of Outputs
+|----------------------------------------------------------------------------*/
+
+.jp-OutputArea {
+  overflow-y: auto;
+}
+
+.jp-OutputArea-child {
+  display: table;
+  table-layout: fixed;
+  width: 100%;
+  overflow: hidden;
+}
+
+.jp-OutputPrompt {
+  width: var(--jp-cell-prompt-width);
+  color: var(--jp-cell-outprompt-font-color);
+  font-family: var(--jp-cell-prompt-font-family);
+  padding: var(--jp-code-padding);
+  letter-spacing: var(--jp-cell-prompt-letter-spacing);
+  line-height: var(--jp-code-line-height);
+  font-size: var(--jp-code-font-size);
+  border: var(--jp-border-width) solid transparent;
+  opacity: var(--jp-cell-prompt-opacity);
+
+  /* Right align prompt text, don't wrap to handle large prompt numbers */
+  text-align: right;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+
+  /* Disable text selection */
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.jp-OutputArea-prompt {
+  display: table-cell;
+  vertical-align: top;
+}
+
+.jp-OutputArea-output {
+  display: table-cell;
+  width: 100%;
+  height: auto;
+  overflow: auto;
+  user-select: text;
+  -moz-user-select: text;
+  -webkit-user-select: text;
+  -ms-user-select: text;
+}
+
+.jp-OutputArea .jp-RenderedText {
+  padding-left: 1ch;
+}
+
+/**
+ * Prompt overlay.
+ */
+
+.jp-OutputArea-promptOverlay {
+  position: absolute;
+  top: 0;
+  width: var(--jp-cell-prompt-width);
+  height: 100%;
+  opacity: 0.5;
+}
+
+.jp-OutputArea-promptOverlay:hover {
+  background: var(--jp-layout-color2);
+  box-shadow: inset 0 0 1px var(--jp-inverse-layout-color0);
+  cursor: zoom-out;
+}
+
+.jp-mod-outputsScrolled .jp-OutputArea-promptOverlay:hover {
+  cursor: zoom-in;
+}
+
+/**
+ * Isolated output.
+ */
+.jp-OutputArea-output.jp-mod-isolated {
+  width: 100%;
+  display: block;
+}
+
+/*
+When drag events occur, `lm-mod-override-cursor` is added to the body.
+Because iframes steal all cursor events, the following two rules are necessary
+to suppress pointer events while resize drags are occurring. There may be a
+better solution to this problem.
+*/
+body.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated {
+  position: relative;
+}
+
+body.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated::before {
+  content: '';
+  position: absolute;
+  top: 0;
+  left: 0;
+  right: 0;
+  bottom: 0;
+  background: transparent;
+}
+
+/* pre */
+
+.jp-OutputArea-output pre {
+  border: none;
+  margin: 0;
+  padding: 0;
+  overflow-x: auto;
+  overflow-y: auto;
+  word-break: break-all;
+  word-wrap: break-word;
+  white-space: pre-wrap;
+}
+
+/* tables */
+
+.jp-OutputArea-output.jp-RenderedHTMLCommon table {
+  margin-left: 0;
+  margin-right: 0;
+}
+
+/* description lists */
+
+.jp-OutputArea-output dl,
+.jp-OutputArea-output dt,
+.jp-OutputArea-output dd {
+  display: block;
+}
+
+.jp-OutputArea-output dl {
+  width: 100%;
+  overflow: hidden;
+  padding: 0;
+  margin: 0;
+}
+
+.jp-OutputArea-output dt {
+  font-weight: bold;
+  float: left;
+  width: 20%;
+  padding: 0;
+  margin: 0;
+}
+
+.jp-OutputArea-output dd {
+  float: left;
+  width: 80%;
+  padding: 0;
+  margin: 0;
+}
+
+.jp-TrimmedOutputs pre {
+  background: var(--jp-layout-color3);
+  font-size: calc(var(--jp-code-font-size) * 1.4);
+  text-align: center;
+  text-transform: uppercase;
+}
+
+/* Hide the gutter in case of
+ *  - nested output areas (e.g. in the case of output widgets)
+ *  - mirrored output areas
+ */
+.jp-OutputArea .jp-OutputArea .jp-OutputArea-prompt {
+  display: none;
+}
+
+/* Hide empty lines in the output area, for instance due to cleared widgets */
+.jp-OutputArea-prompt:empty {
+  padding: 0;
+  border: 0;
+}
+
+/*-----------------------------------------------------------------------------
+| executeResult is added to any Output-result for the display of the object
+| returned by a cell
+|----------------------------------------------------------------------------*/
+
+.jp-OutputArea-output.jp-OutputArea-executeResult {
+  margin-left: 0;
+  width: 100%;
+}
+
+/* Text output with the Out[] prompt needs a top padding to match the
+ * alignment of the Out[] prompt itself.
+ */
+.jp-OutputArea-executeResult .jp-RenderedText.jp-OutputArea-output {
+  padding-top: var(--jp-code-padding);
+  border-top: var(--jp-border-width) solid transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| The Stdin output
+|----------------------------------------------------------------------------*/
+
+.jp-Stdin-prompt {
+  color: var(--jp-content-font-color0);
+  padding-right: var(--jp-code-padding);
+  vertical-align: baseline;
+  flex: 0 0 auto;
+}
+
+.jp-Stdin-input {
+  font-family: var(--jp-code-font-family);
+  font-size: inherit;
+  color: inherit;
+  background-color: inherit;
+  width: 42%;
+  min-width: 200px;
+
+  /* make sure input baseline aligns with prompt */
+  vertical-align: baseline;
+
+  /* padding + margin = 0.5em between prompt and cursor */
+  padding: 0 0.25em;
+  margin: 0 0.25em;
+  flex: 0 0 70%;
+}
+
+.jp-Stdin-input::placeholder {
+  opacity: 0;
+}
+
+.jp-Stdin-input:focus {
+  box-shadow: none;
+}
+
+.jp-Stdin-input:focus::placeholder {
+  opacity: 1;
+}
+
+/*-----------------------------------------------------------------------------
+| Output Area View
+|----------------------------------------------------------------------------*/
+
+.jp-LinkedOutputView .jp-OutputArea {
+  height: 100%;
+  display: block;
+}
+
+.jp-LinkedOutputView .jp-OutputArea-output:only-child {
+  height: 100%;
+}
+
+/*-----------------------------------------------------------------------------
+| Printing
+|----------------------------------------------------------------------------*/
+
+@media print {
+  .jp-OutputArea-child {
+    break-inside: avoid-page;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Mobile
+|----------------------------------------------------------------------------*/
+@media only screen and (max-width: 760px) {
+  .jp-OutputPrompt {
+    display: table-row;
+    text-align: left;
+  }
+
+  .jp-OutputArea-child .jp-OutputArea-output {
+    display: table-row;
+    margin-left: var(--jp-notebook-padding);
+  }
+}
+
+/* Trimmed outputs warning */
+.jp-TrimmedOutputs > a {
+  margin: 10px;
+  text-decoration: none;
+  cursor: pointer;
+}
+
+.jp-TrimmedOutputs > a:hover {
+  text-decoration: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Table of Contents
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-toc-active-width: 4px;
+}
+
+.jp-TableOfContents {
+  display: flex;
+  flex-direction: column;
+  background: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  height: 100%;
+}
+
+.jp-TableOfContents-placeholder {
+  text-align: center;
+}
+
+.jp-TableOfContents-placeholderContent {
+  color: var(--jp-content-font-color2);
+  padding: 8px;
+}
+
+.jp-TableOfContents-placeholderContent > h3 {
+  margin-bottom: var(--jp-content-heading-margin-bottom);
+}
+
+.jp-TableOfContents .jp-SidePanel-content {
+  overflow-y: auto;
+}
+
+.jp-TableOfContents-tree {
+  margin: 4px;
+}
+
+.jp-TableOfContents ol {
+  list-style-type: none;
+}
+
+/* stylelint-disable-next-line selector-max-type */
+.jp-TableOfContents li > ol {
+  /* Align left border with triangle icon center */
+  padding-left: 11px;
+}
+
+.jp-TableOfContents-content {
+  /* left margin for the active heading indicator */
+  margin: 0 0 0 var(--jp-private-toc-active-width);
+  padding: 0;
+  background-color: var(--jp-layout-color1);
+}
+
+.jp-tocItem {
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.jp-tocItem-heading {
+  display: flex;
+  cursor: pointer;
+}
+
+.jp-tocItem-heading:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-tocItem-content {
+  display: block;
+  padding: 4px 0;
+  white-space: nowrap;
+  text-overflow: ellipsis;
+  overflow-x: hidden;
+}
+
+.jp-tocItem-collapser {
+  height: 20px;
+  margin: 2px 2px 0;
+  padding: 0;
+  background: none;
+  border: none;
+  cursor: pointer;
+}
+
+.jp-tocItem-collapser:hover {
+  background-color: var(--jp-layout-color3);
+}
+
+/* Active heading indicator */
+
+.jp-tocItem-heading::before {
+  content: ' ';
+  background: transparent;
+  width: var(--jp-private-toc-active-width);
+  height: 24px;
+  position: absolute;
+  left: 0;
+  border-radius: var(--jp-border-radius);
+}
+
+.jp-tocItem-heading.jp-tocItem-active::before {
+  background-color: var(--jp-brand-color1);
+}
+
+.jp-tocItem-heading:hover.jp-tocItem-active::before {
+  background: var(--jp-brand-color0);
+  opacity: 1;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Collapser {
+  flex: 0 0 var(--jp-cell-collapser-width);
+  padding: 0;
+  margin: 0;
+  border: none;
+  outline: none;
+  background: transparent;
+  border-radius: var(--jp-border-radius);
+  opacity: 1;
+}
+
+.jp-Collapser-child {
+  display: block;
+  width: 100%;
+  box-sizing: border-box;
+
+  /* height: 100% doesn't work because the height of its parent is computed from content */
+  position: absolute;
+  top: 0;
+  bottom: 0;
+}
+
+/*-----------------------------------------------------------------------------
+| Printing
+|----------------------------------------------------------------------------*/
+
+/*
+Hiding collapsers in print mode.
+
+Note: input and output wrappers have "display: block" propery in print mode.
+*/
+
+@media print {
+  .jp-Collapser {
+    display: none;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Header/Footer
+|----------------------------------------------------------------------------*/
+
+/* Hidden by zero height by default */
+.jp-CellHeader,
+.jp-CellFooter {
+  height: 0;
+  width: 100%;
+  padding: 0;
+  margin: 0;
+  border: none;
+  outline: none;
+  background: transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Input
+|----------------------------------------------------------------------------*/
+
+/* All input areas */
+.jp-InputArea {
+  display: table;
+  table-layout: fixed;
+  width: 100%;
+  overflow: hidden;
+}
+
+.jp-InputArea-editor {
+  display: table-cell;
+  overflow: hidden;
+  vertical-align: top;
+
+  /* This is the non-active, default styling */
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  border-radius: 0;
+  background: var(--jp-cell-editor-background);
+}
+
+.jp-InputPrompt {
+  display: table-cell;
+  vertical-align: top;
+  width: var(--jp-cell-prompt-width);
+  color: var(--jp-cell-inprompt-font-color);
+  font-family: var(--jp-cell-prompt-font-family);
+  padding: var(--jp-code-padding);
+  letter-spacing: var(--jp-cell-prompt-letter-spacing);
+  opacity: var(--jp-cell-prompt-opacity);
+  line-height: var(--jp-code-line-height);
+  font-size: var(--jp-code-font-size);
+  border: var(--jp-border-width) solid transparent;
+
+  /* Right align prompt text, don't wrap to handle large prompt numbers */
+  text-align: right;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+
+  /* Disable text selection */
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Mobile
+|----------------------------------------------------------------------------*/
+@media only screen and (max-width: 760px) {
+  .jp-InputArea-editor {
+    display: table-row;
+    margin-left: var(--jp-notebook-padding);
+  }
+
+  .jp-InputPrompt {
+    display: table-row;
+    text-align: left;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Placeholder
+|----------------------------------------------------------------------------*/
+
+.jp-Placeholder {
+  display: table;
+  table-layout: fixed;
+  width: 100%;
+}
+
+.jp-Placeholder-prompt {
+  display: table-cell;
+  box-sizing: border-box;
+}
+
+.jp-Placeholder-content {
+  display: table-cell;
+  padding: 4px 6px;
+  border: 1px solid transparent;
+  border-radius: 0;
+  background: none;
+  box-sizing: border-box;
+  cursor: pointer;
+}
+
+.jp-Placeholder-contentContainer {
+  display: flex;
+}
+
+.jp-Placeholder-content:hover,
+.jp-InputPlaceholder > .jp-Placeholder-content:hover {
+  border-color: var(--jp-layout-color3);
+}
+
+.jp-Placeholder-content .jp-MoreHorizIcon {
+  width: 32px;
+  height: 16px;
+  border: 1px solid transparent;
+  border-radius: var(--jp-border-radius);
+}
+
+.jp-Placeholder-content .jp-MoreHorizIcon:hover {
+  border: 1px solid var(--jp-border-color1);
+  box-shadow: 0 0 2px 0 rgba(0, 0, 0, 0.25);
+  background-color: var(--jp-layout-color0);
+}
+
+.jp-PlaceholderText {
+  white-space: nowrap;
+  overflow-x: hidden;
+  color: var(--jp-inverse-layout-color3);
+  font-family: var(--jp-code-font-family);
+}
+
+.jp-InputPlaceholder > .jp-Placeholder-content {
+  border-color: var(--jp-cell-editor-border-color);
+  background: var(--jp-cell-editor-background);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Private CSS variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-cell-scrolling-output-offset: 5px;
+}
+
+/*-----------------------------------------------------------------------------
+| Cell
+|----------------------------------------------------------------------------*/
+
+.jp-Cell {
+  padding: var(--jp-cell-padding);
+  margin: 0;
+  border: none;
+  outline: none;
+  background: transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| Common input/output
+|----------------------------------------------------------------------------*/
+
+.jp-Cell-inputWrapper,
+.jp-Cell-outputWrapper {
+  display: flex;
+  flex-direction: row;
+  padding: 0;
+  margin: 0;
+
+  /* Added to reveal the box-shadow on the input and output collapsers. */
+  overflow: visible;
+}
+
+/* Only input/output areas inside cells */
+.jp-Cell-inputArea,
+.jp-Cell-outputArea {
+  flex: 1 1 auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Collapser
+|----------------------------------------------------------------------------*/
+
+/* Make the output collapser disappear when there is not output, but do so
+ * in a manner that leaves it in the layout and preserves its width.
+ */
+.jp-Cell.jp-mod-noOutputs .jp-Cell-outputCollapser {
+  border: none !important;
+  background: transparent !important;
+}
+
+.jp-Cell:not(.jp-mod-noOutputs) .jp-Cell-outputCollapser {
+  min-height: var(--jp-cell-collapser-min-height);
+}
+
+/*-----------------------------------------------------------------------------
+| Output
+|----------------------------------------------------------------------------*/
+
+/* Put a space between input and output when there IS output */
+.jp-Cell:not(.jp-mod-noOutputs) .jp-Cell-outputWrapper {
+  margin-top: 5px;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea {
+  overflow-y: auto;
+  max-height: 24em;
+  margin-left: var(--jp-private-cell-scrolling-output-offset);
+  resize: vertical;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea[style*='height'] {
+  max-height: unset;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea::after {
+  content: ' ';
+  box-shadow: inset 0 0 6px 2px rgb(0 0 0 / 30%);
+  width: 100%;
+  height: 100%;
+  position: sticky;
+  bottom: 0;
+  top: 0;
+  margin-top: -50%;
+  float: left;
+  display: block;
+  pointer-events: none;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-child {
+  padding-top: 6px;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-prompt {
+  width: calc(
+    var(--jp-cell-prompt-width) - var(--jp-private-cell-scrolling-output-offset)
+  );
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-promptOverlay {
+  left: calc(-1 * var(--jp-private-cell-scrolling-output-offset));
+}
+
+/*-----------------------------------------------------------------------------
+| CodeCell
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| MarkdownCell
+|----------------------------------------------------------------------------*/
+
+.jp-MarkdownOutput {
+  display: table-cell;
+  width: 100%;
+  margin-top: 0;
+  margin-bottom: 0;
+  padding-left: var(--jp-code-padding);
+}
+
+.jp-MarkdownOutput.jp-RenderedHTMLCommon {
+  overflow: auto;
+}
+
+/* collapseHeadingButton (show always if hiddenCellsButton is _not_ shown) */
+.jp-collapseHeadingButton {
+  display: flex;
+  min-height: var(--jp-cell-collapser-min-height);
+  font-size: var(--jp-code-font-size);
+  position: absolute;
+  background-color: transparent;
+  background-size: 25px;
+  background-repeat: no-repeat;
+  background-position-x: center;
+  background-position-y: top;
+  background-image: var(--jp-icon-caret-down);
+  right: 0;
+  top: 0;
+  bottom: 0;
+}
+
+.jp-collapseHeadingButton.jp-mod-collapsed {
+  background-image: var(--jp-icon-caret-right);
+}
+
+/*
+ set the container font size to match that of content
+ so that the nested collapse buttons have the right size
+*/
+.jp-MarkdownCell .jp-InputPrompt {
+  font-size: var(--jp-content-font-size1);
+}
+
+/*
+  Align collapseHeadingButton with cell top header
+  The font sizes are identical to the ones in packages/rendermime/style/base.css
+*/
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='1'] {
+  font-size: var(--jp-content-font-size5);
+  background-position-y: calc(0.3 * var(--jp-content-font-size5));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='2'] {
+  font-size: var(--jp-content-font-size4);
+  background-position-y: calc(0.3 * var(--jp-content-font-size4));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='3'] {
+  font-size: var(--jp-content-font-size3);
+  background-position-y: calc(0.3 * var(--jp-content-font-size3));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='4'] {
+  font-size: var(--jp-content-font-size2);
+  background-position-y: calc(0.3 * var(--jp-content-font-size2));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='5'] {
+  font-size: var(--jp-content-font-size1);
+  background-position-y: top;
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='6'] {
+  font-size: var(--jp-content-font-size0);
+  background-position-y: top;
+}
+
+/* collapseHeadingButton (show only on (hover,active) if hiddenCellsButton is shown) */
+.jp-Notebook.jp-mod-showHiddenCellsButton .jp-collapseHeadingButton {
+  display: none;
+}
+
+.jp-Notebook.jp-mod-showHiddenCellsButton
+  :is(.jp-MarkdownCell:hover, .jp-mod-active)
+  .jp-collapseHeadingButton {
+  display: flex;
+}
+
+/* showHiddenCellsButton (only show if jp-mod-showHiddenCellsButton is set, which
+is a consequence of the showHiddenCellsButton option in Notebook Settings)*/
+.jp-Notebook.jp-mod-showHiddenCellsButton .jp-showHiddenCellsButton {
+  margin-left: calc(var(--jp-cell-prompt-width) + 2 * var(--jp-code-padding));
+  margin-top: var(--jp-code-padding);
+  border: 1px solid var(--jp-border-color2);
+  background-color: var(--jp-border-color3) !important;
+  color: var(--jp-content-font-color0) !important;
+  display: flex;
+}
+
+.jp-Notebook.jp-mod-showHiddenCellsButton .jp-showHiddenCellsButton:hover {
+  background-color: var(--jp-border-color2) !important;
+}
+
+.jp-showHiddenCellsButton {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Printing
+|----------------------------------------------------------------------------*/
+
+/*
+Using block instead of flex to allow the use of the break-inside CSS property for
+cell outputs.
+*/
+
+@media print {
+  .jp-Cell-inputWrapper,
+  .jp-Cell-outputWrapper {
+    display: block;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-notebook-toolbar-padding: 2px 5px 2px 2px;
+}
+
+/*-----------------------------------------------------------------------------
+
+/*-----------------------------------------------------------------------------
+| Styles
+|----------------------------------------------------------------------------*/
+
+.jp-NotebookPanel-toolbar {
+  padding: var(--jp-notebook-toolbar-padding);
+
+  /* disable paint containment from lumino 2.0 default strict CSS containment */
+  contain: style size !important;
+}
+
+.jp-Toolbar-item.jp-Notebook-toolbarCellType .jp-select-wrapper.jp-mod-focused {
+  border: none;
+  box-shadow: none;
+}
+
+.jp-Notebook-toolbarCellTypeDropdown select {
+  height: 24px;
+  font-size: var(--jp-ui-font-size1);
+  line-height: 14px;
+  border-radius: 0;
+  display: block;
+}
+
+.jp-Notebook-toolbarCellTypeDropdown span {
+  top: 5px !important;
+}
+
+.jp-Toolbar-responsive-popup {
+  position: absolute;
+  height: fit-content;
+  display: flex;
+  flex-direction: row;
+  flex-wrap: wrap;
+  justify-content: flex-end;
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  background: var(--jp-toolbar-background);
+  min-height: var(--jp-toolbar-micro-height);
+  padding: var(--jp-notebook-toolbar-padding);
+  z-index: 1;
+  right: 0;
+  top: 0;
+}
+
+.jp-Toolbar > .jp-Toolbar-responsive-opener {
+  margin-left: auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+
+/*-----------------------------------------------------------------------------
+| Styles
+|----------------------------------------------------------------------------*/
+
+.jp-Notebook-ExecutionIndicator {
+  position: relative;
+  display: inline-block;
+  height: 100%;
+  z-index: 9997;
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip {
+  visibility: hidden;
+  height: auto;
+  width: max-content;
+  width: -moz-max-content;
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color1);
+  text-align: justify;
+  border-radius: 6px;
+  padding: 0 5px;
+  position: fixed;
+  display: table;
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip.up {
+  transform: translateX(-50%) translateY(-100%) translateY(-32px);
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip.down {
+  transform: translateX(calc(-100% + 16px)) translateY(5px);
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip.hidden {
+  display: none;
+}
+
+.jp-Notebook-ExecutionIndicator:hover .jp-Notebook-ExecutionIndicator-tooltip {
+  visibility: visible;
+}
+
+.jp-Notebook-ExecutionIndicator span {
+  font-size: var(--jp-ui-font-size1);
+  font-family: var(--jp-ui-font-family);
+  color: var(--jp-ui-font-color1);
+  line-height: 24px;
+  display: block;
+}
+
+.jp-Notebook-ExecutionIndicator-progress-bar {
+  display: flex;
+  justify-content: center;
+  height: 100%;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*
+ * Execution indicator
+ */
+.jp-tocItem-content::after {
+  content: '';
+
+  /* Must be identical to form a circle */
+  width: 12px;
+  height: 12px;
+  background: none;
+  border: none;
+  position: absolute;
+  right: 0;
+}
+
+.jp-tocItem-content[data-running='0']::after {
+  border-radius: 50%;
+  border: var(--jp-border-width) solid var(--jp-inverse-layout-color3);
+  background: none;
+}
+
+.jp-tocItem-content[data-running='1']::after {
+  border-radius: 50%;
+  border: var(--jp-border-width) solid var(--jp-inverse-layout-color3);
+  background-color: var(--jp-inverse-layout-color3);
+}
+
+.jp-tocItem-content[data-running='0'],
+.jp-tocItem-content[data-running='1'] {
+  margin-right: 12px;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-Notebook-footer {
+  height: 27px;
+  margin-left: calc(
+    var(--jp-cell-prompt-width) + var(--jp-cell-collapser-width) +
+      var(--jp-cell-padding)
+  );
+  width: calc(
+    100% -
+      (
+        var(--jp-cell-prompt-width) + var(--jp-cell-collapser-width) +
+          var(--jp-cell-padding) + var(--jp-cell-padding)
+      )
+  );
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  color: var(--jp-ui-font-color3);
+  margin-top: 6px;
+  background: none;
+  cursor: pointer;
+}
+
+.jp-Notebook-footer:focus {
+  border-color: var(--jp-cell-editor-active-border-color);
+}
+
+/* For devices that support hovering, hide footer until hover */
+@media (hover: hover) {
+  .jp-Notebook-footer {
+    opacity: 0;
+  }
+
+  .jp-Notebook-footer:focus,
+  .jp-Notebook-footer:hover {
+    opacity: 1;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Imports
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| CSS variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-side-by-side-output-size: 1fr;
+  --jp-side-by-side-resized-cell: var(--jp-side-by-side-output-size);
+  --jp-private-notebook-dragImage-width: 304px;
+  --jp-private-notebook-dragImage-height: 36px;
+  --jp-private-notebook-selected-color: var(--md-blue-400);
+  --jp-private-notebook-active-color: var(--md-green-400);
+}
+
+/*-----------------------------------------------------------------------------
+| Notebook
+|----------------------------------------------------------------------------*/
+
+/* stylelint-disable selector-max-class */
+
+.jp-NotebookPanel {
+  display: block;
+  height: 100%;
+}
+
+.jp-NotebookPanel.jp-Document {
+  min-width: 240px;
+  min-height: 120px;
+}
+
+.jp-Notebook {
+  padding: var(--jp-notebook-padding);
+  outline: none;
+  overflow: auto;
+  background: var(--jp-layout-color0);
+}
+
+.jp-Notebook.jp-mod-scrollPastEnd::after {
+  display: block;
+  content: '';
+  min-height: var(--jp-notebook-scroll-padding);
+}
+
+.jp-MainAreaWidget-ContainStrict .jp-Notebook * {
+  contain: strict;
+}
+
+.jp-Notebook .jp-Cell {
+  overflow: visible;
+}
+
+.jp-Notebook .jp-Cell .jp-InputPrompt {
+  cursor: move;
+}
+
+/*-----------------------------------------------------------------------------
+| Notebook state related styling
+|
+| The notebook and cells each have states, here are the possibilities:
+|
+| - Notebook
+|   - Command
+|   - Edit
+| - Cell
+|   - None
+|   - Active (only one can be active)
+|   - Selected (the cells actions are applied to)
+|   - Multiselected (when multiple selected, the cursor)
+|   - No outputs
+|----------------------------------------------------------------------------*/
+
+/* Command or edit modes */
+
+.jp-Notebook .jp-Cell:not(.jp-mod-active) .jp-InputPrompt {
+  opacity: var(--jp-cell-prompt-not-active-opacity);
+  color: var(--jp-cell-prompt-not-active-font-color);
+}
+
+.jp-Notebook .jp-Cell:not(.jp-mod-active) .jp-OutputPrompt {
+  opacity: var(--jp-cell-prompt-not-active-opacity);
+  color: var(--jp-cell-prompt-not-active-font-color);
+}
+
+/* cell is active */
+.jp-Notebook .jp-Cell.jp-mod-active .jp-Collapser {
+  background: var(--jp-brand-color1);
+}
+
+/* cell is dirty */
+.jp-Notebook .jp-Cell.jp-mod-dirty .jp-InputPrompt {
+  color: var(--jp-warn-color1);
+}
+
+.jp-Notebook .jp-Cell.jp-mod-dirty .jp-InputPrompt::before {
+  color: var(--jp-warn-color1);
+  content: '•';
+}
+
+.jp-Notebook .jp-Cell.jp-mod-active.jp-mod-dirty .jp-Collapser {
+  background: var(--jp-warn-color1);
+}
+
+/* collapser is hovered */
+.jp-Notebook .jp-Cell .jp-Collapser:hover {
+  box-shadow: var(--jp-elevation-z2);
+  background: var(--jp-brand-color1);
+  opacity: var(--jp-cell-collapser-not-active-hover-opacity);
+}
+
+/* cell is active and collapser is hovered */
+.jp-Notebook .jp-Cell.jp-mod-active .jp-Collapser:hover {
+  background: var(--jp-brand-color0);
+  opacity: 1;
+}
+
+/* Command mode */
+
+.jp-Notebook.jp-mod-commandMode .jp-Cell.jp-mod-selected {
+  background: var(--jp-notebook-multiselected-color);
+}
+
+.jp-Notebook.jp-mod-commandMode
+  .jp-Cell.jp-mod-active.jp-mod-selected:not(.jp-mod-multiSelected) {
+  background: transparent;
+}
+
+/* Edit mode */
+
+.jp-Notebook.jp-mod-editMode .jp-Cell.jp-mod-active .jp-InputArea-editor {
+  border: var(--jp-border-width) solid var(--jp-cell-editor-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+  background-color: var(--jp-cell-editor-active-background);
+}
+
+/*-----------------------------------------------------------------------------
+| Notebook drag and drop
+|----------------------------------------------------------------------------*/
+
+.jp-Notebook-cell.jp-mod-dropSource {
+  opacity: 0.5;
+}
+
+.jp-Notebook-cell.jp-mod-dropTarget,
+.jp-Notebook.jp-mod-commandMode
+  .jp-Notebook-cell.jp-mod-active.jp-mod-selected.jp-mod-dropTarget {
+  border-top-color: var(--jp-private-notebook-selected-color);
+  border-top-style: solid;
+  border-top-width: 2px;
+}
+
+.jp-dragImage {
+  display: block;
+  flex-direction: row;
+  width: var(--jp-private-notebook-dragImage-width);
+  height: var(--jp-private-notebook-dragImage-height);
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  background: var(--jp-cell-editor-background);
+  overflow: visible;
+}
+
+.jp-dragImage-singlePrompt {
+  box-shadow: 2px 2px 4px 0 rgba(0, 0, 0, 0.12);
+}
+
+.jp-dragImage .jp-dragImage-content {
+  flex: 1 1 auto;
+  z-index: 2;
+  font-size: var(--jp-code-font-size);
+  font-family: var(--jp-code-font-family);
+  line-height: var(--jp-code-line-height);
+  padding: var(--jp-code-padding);
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  background: var(--jp-cell-editor-background-color);
+  color: var(--jp-content-font-color3);
+  text-align: left;
+  margin: 4px 4px 4px 0;
+}
+
+.jp-dragImage .jp-dragImage-prompt {
+  flex: 0 0 auto;
+  min-width: 36px;
+  color: var(--jp-cell-inprompt-font-color);
+  padding: var(--jp-code-padding);
+  padding-left: 12px;
+  font-family: var(--jp-cell-prompt-font-family);
+  letter-spacing: var(--jp-cell-prompt-letter-spacing);
+  line-height: 1.9;
+  font-size: var(--jp-code-font-size);
+  border: var(--jp-border-width) solid transparent;
+}
+
+.jp-dragImage-multipleBack {
+  z-index: -1;
+  position: absolute;
+  height: 32px;
+  width: 300px;
+  top: 8px;
+  left: 8px;
+  background: var(--jp-layout-color2);
+  border: var(--jp-border-width) solid var(--jp-input-border-color);
+  box-shadow: 2px 2px 4px 0 rgba(0, 0, 0, 0.12);
+}
+
+/*-----------------------------------------------------------------------------
+| Cell toolbar
+|----------------------------------------------------------------------------*/
+
+.jp-NotebookTools {
+  display: block;
+  min-width: var(--jp-sidebar-min-width);
+  color: var(--jp-ui-font-color1);
+  background: var(--jp-layout-color1);
+
+  /* This is needed so that all font sizing of children done in ems is
+    * relative to this base size */
+  font-size: var(--jp-ui-font-size1);
+  overflow: auto;
+}
+
+.jp-ActiveCellTool {
+  padding: 12px 0;
+  display: flex;
+}
+
+.jp-ActiveCellTool-Content {
+  flex: 1 1 auto;
+}
+
+.jp-ActiveCellTool .jp-ActiveCellTool-CellContent {
+  background: var(--jp-cell-editor-background);
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  border-radius: 0;
+  min-height: 29px;
+}
+
+.jp-ActiveCellTool .jp-InputPrompt {
+  min-width: calc(var(--jp-cell-prompt-width) * 0.75);
+}
+
+.jp-ActiveCellTool-CellContent > pre {
+  padding: 5px 4px;
+  margin: 0;
+  white-space: normal;
+}
+
+.jp-MetadataEditorTool {
+  flex-direction: column;
+  padding: 12px 0;
+}
+
+.jp-RankedPanel > :not(:first-child) {
+  margin-top: 12px;
+}
+
+.jp-KeySelector select.jp-mod-styled {
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color0);
+  border: var(--jp-border-width) solid var(--jp-border-color1);
+}
+
+.jp-KeySelector label,
+.jp-MetadataEditorTool label,
+.jp-NumberSetter label {
+  line-height: 1.4;
+}
+
+.jp-NotebookTools .jp-select-wrapper {
+  margin-top: 4px;
+  margin-bottom: 0;
+}
+
+.jp-NumberSetter input {
+  width: 100%;
+  margin-top: 4px;
+}
+
+.jp-NotebookTools .jp-Collapse {
+  margin-top: 16px;
+}
+
+/*-----------------------------------------------------------------------------
+| Presentation Mode (.jp-mod-presentationMode)
+|----------------------------------------------------------------------------*/
+
+.jp-mod-presentationMode .jp-Notebook {
+  --jp-content-font-size1: var(--jp-content-presentation-font-size1);
+  --jp-code-font-size: var(--jp-code-presentation-font-size);
+}
+
+.jp-mod-presentationMode .jp-Notebook .jp-Cell .jp-InputPrompt,
+.jp-mod-presentationMode .jp-Notebook .jp-Cell .jp-OutputPrompt {
+  flex: 0 0 110px;
+}
+
+/*-----------------------------------------------------------------------------
+| Side-by-side Mode (.jp-mod-sideBySide)
+|----------------------------------------------------------------------------*/
+.jp-mod-sideBySide.jp-Notebook .jp-Notebook-cell {
+  margin-top: 3em;
+  margin-bottom: 3em;
+  margin-left: 5%;
+  margin-right: 5%;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell {
+  display: grid;
+  grid-template-columns: minmax(0, 1fr) min-content minmax(
+      0,
+      var(--jp-side-by-side-output-size)
+    );
+  grid-template-rows: auto minmax(0, 1fr) auto;
+  grid-template-areas:
+    'header header header'
+    'input handle output'
+    'footer footer footer';
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell.jp-mod-resizedCell {
+  grid-template-columns: minmax(0, 1fr) min-content minmax(
+      0,
+      var(--jp-side-by-side-resized-cell)
+    );
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellHeader {
+  grid-area: header;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-Cell-inputWrapper {
+  grid-area: input;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-Cell-outputWrapper {
+  /* overwrite the default margin (no vertical separation needed in side by side move */
+  margin-top: 0;
+  grid-area: output;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellFooter {
+  grid-area: footer;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellResizeHandle {
+  grid-area: handle;
+  user-select: none;
+  display: block;
+  height: 100%;
+  cursor: ew-resize;
+  padding: 0 var(--jp-cell-padding);
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellResizeHandle::after {
+  content: '';
+  display: block;
+  background: var(--jp-border-color2);
+  height: 100%;
+  width: 5px;
+}
+
+.jp-mod-sideBySide.jp-Notebook
+  .jp-CodeCell.jp-mod-resizedCell
+  .jp-CellResizeHandle::after {
+  background: var(--jp-border-color0);
+}
+
+.jp-CellResizeHandle {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Placeholder
+|----------------------------------------------------------------------------*/
+
+.jp-Cell-Placeholder {
+  padding-left: 55px;
+}
+
+.jp-Cell-Placeholder-wrapper {
+  background: #fff;
+  border: 1px solid;
+  border-color: #e5e6e9 #dfe0e4 #d0d1d5;
+  border-radius: 4px;
+  -webkit-border-radius: 4px;
+  margin: 10px 15px;
+}
+
+.jp-Cell-Placeholder-wrapper-inner {
+  padding: 15px;
+  position: relative;
+}
+
+.jp-Cell-Placeholder-wrapper-body {
+  background-repeat: repeat;
+  background-size: 50% auto;
+}
+
+.jp-Cell-Placeholder-wrapper-body div {
+  background: #f6f7f8;
+  background-image: -webkit-linear-gradient(
+    left,
+    #f6f7f8 0%,
+    #edeef1 20%,
+    #f6f7f8 40%,
+    #f6f7f8 100%
+  );
+  background-repeat: no-repeat;
+  background-size: 800px 104px;
+  height: 104px;
+  position: absolute;
+  right: 15px;
+  left: 15px;
+  top: 15px;
+}
+
+div.jp-Cell-Placeholder-h1 {
+  top: 20px;
+  height: 20px;
+  left: 15px;
+  width: 150px;
+}
+
+div.jp-Cell-Placeholder-h2 {
+  left: 15px;
+  top: 50px;
+  height: 10px;
+  width: 100px;
+}
+
+div.jp-Cell-Placeholder-content-1,
+div.jp-Cell-Placeholder-content-2,
+div.jp-Cell-Placeholder-content-3 {
+  left: 15px;
+  right: 15px;
+  height: 10px;
+}
+
+div.jp-Cell-Placeholder-content-1 {
+  top: 100px;
+}
+
+div.jp-Cell-Placeholder-content-2 {
+  top: 120px;
+}
+
+div.jp-Cell-Placeholder-content-3 {
+  top: 140px;
+}
+
+</style>
+<style type="text/css">
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*
+The following CSS variables define the main, public API for styling JupyterLab.
+These variables should be used by all plugins wherever possible. In other
+words, plugins should not define custom colors, sizes, etc unless absolutely
+necessary. This enables users to change the visual theme of JupyterLab
+by changing these variables.
+
+Many variables appear in an ordered sequence (0,1,2,3). These sequences
+are designed to work well together, so for example, `--jp-border-color1` should
+be used with `--jp-layout-color1`. The numbers have the following meanings:
+
+* 0: super-primary, reserved for special emphasis
+* 1: primary, most important under normal situations
+* 2: secondary, next most important under normal situations
+* 3: tertiary, next most important under normal situations
+
+Throughout JupyterLab, we are mostly following principles from Google's
+Material Design when selecting colors. We are not, however, following
+all of MD as it is not optimized for dense, information rich UIs.
+*/
+
+:root {
+  /* Elevation
+   *
+   * We style box-shadows using Material Design's idea of elevation. These particular numbers are taken from here:
+   *
+   * https://github.com/material-components/material-components-web
+   * https://material-components-web.appspot.com/elevation.html
+   */
+
+  --jp-shadow-base-lightness: 0;
+  --jp-shadow-umbra-color: rgba(
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    0.2
+  );
+  --jp-shadow-penumbra-color: rgba(
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    0.14
+  );
+  --jp-shadow-ambient-color: rgba(
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    0.12
+  );
+  --jp-elevation-z0: none;
+  --jp-elevation-z1: 0 2px 1px -1px var(--jp-shadow-umbra-color),
+    0 1px 1px 0 var(--jp-shadow-penumbra-color),
+    0 1px 3px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z2: 0 3px 1px -2px var(--jp-shadow-umbra-color),
+    0 2px 2px 0 var(--jp-shadow-penumbra-color),
+    0 1px 5px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z4: 0 2px 4px -1px var(--jp-shadow-umbra-color),
+    0 4px 5px 0 var(--jp-shadow-penumbra-color),
+    0 1px 10px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z6: 0 3px 5px -1px var(--jp-shadow-umbra-color),
+    0 6px 10px 0 var(--jp-shadow-penumbra-color),
+    0 1px 18px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z8: 0 5px 5px -3px var(--jp-shadow-umbra-color),
+    0 8px 10px 1px var(--jp-shadow-penumbra-color),
+    0 3px 14px 2px var(--jp-shadow-ambient-color);
+  --jp-elevation-z12: 0 7px 8px -4px var(--jp-shadow-umbra-color),
+    0 12px 17px 2px var(--jp-shadow-penumbra-color),
+    0 5px 22px 4px var(--jp-shadow-ambient-color);
+  --jp-elevation-z16: 0 8px 10px -5px var(--jp-shadow-umbra-color),
+    0 16px 24px 2px var(--jp-shadow-penumbra-color),
+    0 6px 30px 5px var(--jp-shadow-ambient-color);
+  --jp-elevation-z20: 0 10px 13px -6px var(--jp-shadow-umbra-color),
+    0 20px 31px 3px var(--jp-shadow-penumbra-color),
+    0 8px 38px 7px var(--jp-shadow-ambient-color);
+  --jp-elevation-z24: 0 11px 15px -7px var(--jp-shadow-umbra-color),
+    0 24px 38px 3px var(--jp-shadow-penumbra-color),
+    0 9px 46px 8px var(--jp-shadow-ambient-color);
+
+  /* Borders
+   *
+   * The following variables, specify the visual styling of borders in JupyterLab.
+   */
+
+  --jp-border-width: 1px;
+  --jp-border-color0: var(--md-grey-400);
+  --jp-border-color1: var(--md-grey-400);
+  --jp-border-color2: var(--md-grey-300);
+  --jp-border-color3: var(--md-grey-200);
+  --jp-inverse-border-color: var(--md-grey-600);
+  --jp-border-radius: 2px;
+
+  /* UI Fonts
+   *
+   * The UI font CSS variables are used for the typography all of the JupyterLab
+   * user interface elements that are not directly user generated content.
+   *
+   * The font sizing here is done assuming that the body font size of --jp-ui-font-size1
+   * is applied to a parent element. When children elements, such as headings, are sized
+   * in em all things will be computed relative to that body size.
+   */
+
+  --jp-ui-font-scale-factor: 1.2;
+  --jp-ui-font-size0: 0.83333em;
+  --jp-ui-font-size1: 13px; /* Base font size */
+  --jp-ui-font-size2: 1.2em;
+  --jp-ui-font-size3: 1.44em;
+  --jp-ui-font-family: system-ui, -apple-system, blinkmacsystemfont, 'Segoe UI',
+    helvetica, arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji',
+    'Segoe UI Symbol';
+
+  /*
+   * Use these font colors against the corresponding main layout colors.
+   * In a light theme, these go from dark to light.
+   */
+
+  /* Defaults use Material Design specification */
+  --jp-ui-font-color0: rgba(0, 0, 0, 1);
+  --jp-ui-font-color1: rgba(0, 0, 0, 0.87);
+  --jp-ui-font-color2: rgba(0, 0, 0, 0.54);
+  --jp-ui-font-color3: rgba(0, 0, 0, 0.38);
+
+  /*
+   * Use these against the brand/accent/warn/error colors.
+   * These will typically go from light to darker, in both a dark and light theme.
+   */
+
+  --jp-ui-inverse-font-color0: rgba(255, 255, 255, 1);
+  --jp-ui-inverse-font-color1: rgba(255, 255, 255, 1);
+  --jp-ui-inverse-font-color2: rgba(255, 255, 255, 0.7);
+  --jp-ui-inverse-font-color3: rgba(255, 255, 255, 0.5);
+
+  /* Content Fonts
+   *
+   * Content font variables are used for typography of user generated content.
+   *
+   * The font sizing here is done assuming that the body font size of --jp-content-font-size1
+   * is applied to a parent element. When children elements, such as headings, are sized
+   * in em all things will be computed relative to that body size.
+   */
+
+  --jp-content-line-height: 1.6;
+  --jp-content-font-scale-factor: 1.2;
+  --jp-content-font-size0: 0.83333em;
+  --jp-content-font-size1: 14px; /* Base font size */
+  --jp-content-font-size2: 1.2em;
+  --jp-content-font-size3: 1.44em;
+  --jp-content-font-size4: 1.728em;
+  --jp-content-font-size5: 2.0736em;
+
+  /* This gives a magnification of about 125% in presentation mode over normal. */
+  --jp-content-presentation-font-size1: 17px;
+  --jp-content-heading-line-height: 1;
+  --jp-content-heading-margin-top: 1.2em;
+  --jp-content-heading-margin-bottom: 0.8em;
+  --jp-content-heading-font-weight: 500;
+
+  /* Defaults use Material Design specification */
+  --jp-content-font-color0: rgba(0, 0, 0, 1);
+  --jp-content-font-color1: rgba(0, 0, 0, 0.87);
+  --jp-content-font-color2: rgba(0, 0, 0, 0.54);
+  --jp-content-font-color3: rgba(0, 0, 0, 0.38);
+  --jp-content-link-color: var(--md-blue-900);
+  --jp-content-font-family: system-ui, -apple-system, blinkmacsystemfont,
+    'Segoe UI', helvetica, arial, sans-serif, 'Apple Color Emoji',
+    'Segoe UI Emoji', 'Segoe UI Symbol';
+
+  /*
+   * Code Fonts
+   *
+   * Code font variables are used for typography of code and other monospaces content.
+   */
+
+  --jp-code-font-size: 13px;
+  --jp-code-line-height: 1.3077; /* 17px for 13px base */
+  --jp-code-padding: 5px; /* 5px for 13px base, codemirror highlighting needs integer px value */
+  --jp-code-font-family-default: menlo, consolas, 'DejaVu Sans Mono', monospace;
+  --jp-code-font-family: var(--jp-code-font-family-default);
+
+  /* This gives a magnification of about 125% in presentation mode over normal. */
+  --jp-code-presentation-font-size: 16px;
+
+  /* may need to tweak cursor width if you change font size */
+  --jp-code-cursor-width0: 1.4px;
+  --jp-code-cursor-width1: 2px;
+  --jp-code-cursor-width2: 4px;
+
+  /* Layout
+   *
+   * The following are the main layout colors use in JupyterLab. In a light
+   * theme these would go from light to dark.
+   */
+
+  --jp-layout-color0: white;
+  --jp-layout-color1: white;
+  --jp-layout-color2: var(--md-grey-200);
+  --jp-layout-color3: var(--md-grey-400);
+  --jp-layout-color4: var(--md-grey-600);
+
+  /* Inverse Layout
+   *
+   * The following are the inverse layout colors use in JupyterLab. In a light
+   * theme these would go from dark to light.
+   */
+
+  --jp-inverse-layout-color0: #111;
+  --jp-inverse-layout-color1: var(--md-grey-900);
+  --jp-inverse-layout-color2: var(--md-grey-800);
+  --jp-inverse-layout-color3: var(--md-grey-700);
+  --jp-inverse-layout-color4: var(--md-grey-600);
+
+  /* Brand/accent */
+
+  --jp-brand-color0: var(--md-blue-900);
+  --jp-brand-color1: var(--md-blue-700);
+  --jp-brand-color2: var(--md-blue-300);
+  --jp-brand-color3: var(--md-blue-100);
+  --jp-brand-color4: var(--md-blue-50);
+  --jp-accent-color0: var(--md-green-900);
+  --jp-accent-color1: var(--md-green-700);
+  --jp-accent-color2: var(--md-green-300);
+  --jp-accent-color3: var(--md-green-100);
+
+  /* State colors (warn, error, success, info) */
+
+  --jp-warn-color0: var(--md-orange-900);
+  --jp-warn-color1: var(--md-orange-700);
+  --jp-warn-color2: var(--md-orange-300);
+  --jp-warn-color3: var(--md-orange-100);
+  --jp-error-color0: var(--md-red-900);
+  --jp-error-color1: var(--md-red-700);
+  --jp-error-color2: var(--md-red-300);
+  --jp-error-color3: var(--md-red-100);
+  --jp-success-color0: var(--md-green-900);
+  --jp-success-color1: var(--md-green-700);
+  --jp-success-color2: var(--md-green-300);
+  --jp-success-color3: var(--md-green-100);
+  --jp-info-color0: var(--md-cyan-900);
+  --jp-info-color1: var(--md-cyan-700);
+  --jp-info-color2: var(--md-cyan-300);
+  --jp-info-color3: var(--md-cyan-100);
+
+  /* Cell specific styles */
+
+  --jp-cell-padding: 5px;
+  --jp-cell-collapser-width: 8px;
+  --jp-cell-collapser-min-height: 20px;
+  --jp-cell-collapser-not-active-hover-opacity: 0.6;
+  --jp-cell-editor-background: var(--md-grey-100);
+  --jp-cell-editor-border-color: var(--md-grey-300);
+  --jp-cell-editor-box-shadow: inset 0 0 2px var(--md-blue-300);
+  --jp-cell-editor-active-background: var(--jp-layout-color0);
+  --jp-cell-editor-active-border-color: var(--jp-brand-color1);
+  --jp-cell-prompt-width: 64px;
+  --jp-cell-prompt-font-family: var(--jp-code-font-family-default);
+  --jp-cell-prompt-letter-spacing: 0;
+  --jp-cell-prompt-opacity: 1;
+  --jp-cell-prompt-not-active-opacity: 0.5;
+  --jp-cell-prompt-not-active-font-color: var(--md-grey-700);
+
+  /* A custom blend of MD grey and blue 600
+   * See https://meyerweb.com/eric/tools/color-blend/#546E7A:1E88E5:5:hex */
+  --jp-cell-inprompt-font-color: #307fc1;
+
+  /* A custom blend of MD grey and orange 600
+   * https://meyerweb.com/eric/tools/color-blend/#546E7A:F4511E:5:hex */
+  --jp-cell-outprompt-font-color: #bf5b3d;
+
+  /* Notebook specific styles */
+
+  --jp-notebook-padding: 10px;
+  --jp-notebook-select-background: var(--jp-layout-color1);
+  --jp-notebook-multiselected-color: var(--md-blue-50);
+
+  /* The scroll padding is calculated to fill enough space at the bottom of the
+  notebook to show one single-line cell (with appropriate padding) at the top
+  when the notebook is scrolled all the way to the bottom. We also subtract one
+  pixel so that no scrollbar appears if we have just one single-line cell in the
+  notebook. This padding is to enable a 'scroll past end' feature in a notebook.
+  */
+  --jp-notebook-scroll-padding: calc(
+    100% - var(--jp-code-font-size) * var(--jp-code-line-height) -
+      var(--jp-code-padding) - var(--jp-cell-padding) - 1px
+  );
+
+  /* Rendermime styles */
+
+  --jp-rendermime-error-background: #fdd;
+  --jp-rendermime-table-row-background: var(--md-grey-100);
+  --jp-rendermime-table-row-hover-background: var(--md-light-blue-50);
+
+  /* Dialog specific styles */
+
+  --jp-dialog-background: rgba(0, 0, 0, 0.25);
+
+  /* Console specific styles */
+
+  --jp-console-padding: 10px;
+
+  /* Toolbar specific styles */
+
+  --jp-toolbar-border-color: var(--jp-border-color1);
+  --jp-toolbar-micro-height: 8px;
+  --jp-toolbar-background: var(--jp-layout-color1);
+  --jp-toolbar-box-shadow: 0 0 2px 0 rgba(0, 0, 0, 0.24);
+  --jp-toolbar-header-margin: 4px 4px 0 4px;
+  --jp-toolbar-active-background: var(--md-grey-300);
+
+  /* Statusbar specific styles */
+
+  --jp-statusbar-height: 24px;
+
+  /* Input field styles */
+
+  --jp-input-box-shadow: inset 0 0 2px var(--md-blue-300);
+  --jp-input-active-background: var(--jp-layout-color1);
+  --jp-input-hover-background: var(--jp-layout-color1);
+  --jp-input-background: var(--md-grey-100);
+  --jp-input-border-color: var(--jp-inverse-border-color);
+  --jp-input-active-border-color: var(--jp-brand-color1);
+  --jp-input-active-box-shadow-color: rgba(19, 124, 189, 0.3);
+
+  /* General editor styles */
+
+  --jp-editor-selected-background: #d9d9d9;
+  --jp-editor-selected-focused-background: #d7d4f0;
+  --jp-editor-cursor-color: var(--jp-ui-font-color0);
+
+  /* Code mirror specific styles */
+
+  --jp-mirror-editor-keyword-color: #008000;
+  --jp-mirror-editor-atom-color: #88f;
+  --jp-mirror-editor-number-color: #080;
+  --jp-mirror-editor-def-color: #00f;
+  --jp-mirror-editor-variable-color: var(--md-grey-900);
+  --jp-mirror-editor-variable-2-color: rgb(0, 54, 109);
+  --jp-mirror-editor-variable-3-color: #085;
+  --jp-mirror-editor-punctuation-color: #05a;
+  --jp-mirror-editor-property-color: #05a;
+  --jp-mirror-editor-operator-color: #a2f;
+  --jp-mirror-editor-comment-color: #408080;
+  --jp-mirror-editor-string-color: #ba2121;
+  --jp-mirror-editor-string-2-color: #708;
+  --jp-mirror-editor-meta-color: #a2f;
+  --jp-mirror-editor-qualifier-color: #555;
+  --jp-mirror-editor-builtin-color: #008000;
+  --jp-mirror-editor-bracket-color: #997;
+  --jp-mirror-editor-tag-color: #170;
+  --jp-mirror-editor-attribute-color: #00c;
+  --jp-mirror-editor-header-color: blue;
+  --jp-mirror-editor-quote-color: #090;
+  --jp-mirror-editor-link-color: #00c;
+  --jp-mirror-editor-error-color: #f00;
+  --jp-mirror-editor-hr-color: #999;
+
+  /*
+    RTC user specific colors.
+    These colors are used for the cursor, username in the editor,
+    and the icon of the user.
+  */
+
+  --jp-collaborator-color1: #ffad8e;
+  --jp-collaborator-color2: #dac83d;
+  --jp-collaborator-color3: #72dd76;
+  --jp-collaborator-color4: #00e4d0;
+  --jp-collaborator-color5: #45d4ff;
+  --jp-collaborator-color6: #e2b1ff;
+  --jp-collaborator-color7: #ff9de6;
+
+  /* Vega extension styles */
+
+  --jp-vega-background: white;
+
+  /* Sidebar-related styles */
+
+  --jp-sidebar-min-width: 250px;
+
+  /* Search-related styles */
+
+  --jp-search-toggle-off-opacity: 0.5;
+  --jp-search-toggle-hover-opacity: 0.8;
+  --jp-search-toggle-on-opacity: 1;
+  --jp-search-selected-match-background-color: rgb(245, 200, 0);
+  --jp-search-selected-match-color: black;
+  --jp-search-unselected-match-background-color: var(
+    --jp-inverse-layout-color0
+  );
+  --jp-search-unselected-match-color: var(--jp-ui-inverse-font-color0);
+
+  /* Icon colors that work well with light or dark backgrounds */
+  --jp-icon-contrast-color0: var(--md-purple-600);
+  --jp-icon-contrast-color1: var(--md-green-600);
+  --jp-icon-contrast-color2: var(--md-pink-600);
+  --jp-icon-contrast-color3: var(--md-blue-600);
+
+  /* Button colors */
+  --jp-accept-color-normal: var(--md-blue-700);
+  --jp-accept-color-hover: var(--md-blue-800);
+  --jp-accept-color-active: var(--md-blue-900);
+  --jp-warn-color-normal: var(--md-red-700);
+  --jp-warn-color-hover: var(--md-red-800);
+  --jp-warn-color-active: var(--md-red-900);
+  --jp-reject-color-normal: var(--md-grey-600);
+  --jp-reject-color-hover: var(--md-grey-700);
+  --jp-reject-color-active: var(--md-grey-800);
+
+  /* File or activity icons and switch semantic variables */
+  --jp-jupyter-icon-color: #f37626;
+  --jp-notebook-icon-color: #f37626;
+  --jp-json-icon-color: var(--md-orange-700);
+  --jp-console-icon-background-color: var(--md-blue-700);
+  --jp-console-icon-color: white;
+  --jp-terminal-icon-background-color: var(--md-grey-800);
+  --jp-terminal-icon-color: var(--md-grey-200);
+  --jp-text-editor-icon-color: var(--md-grey-700);
+  --jp-inspector-icon-color: var(--md-grey-700);
+  --jp-switch-color: var(--md-grey-400);
+  --jp-switch-true-position-color: var(--md-orange-900);
+}
+</style>
+<style type="text/css">
+/* Force rendering true colors when outputing to pdf */
+* {
+  -webkit-print-color-adjust: exact;
+}
+
+/* Misc */
+a.anchor-link {
+  display: none;
+}
+
+/* Input area styling */
+.jp-InputArea {
+  overflow: hidden;
+}
+
+.jp-InputArea-editor {
+  overflow: hidden;
+}
+
+.cm-editor.cm-s-jupyter .highlight pre {
+/* weird, but --jp-code-padding defined to be 5px but 4px horizontal padding is hardcoded for pre.cm-line */
+  padding: var(--jp-code-padding) 4px;
+  margin: 0;
+
+  font-family: inherit;
+  font-size: inherit;
+  line-height: inherit;
+  color: inherit;
+
+}
+
+.jp-OutputArea-output pre {
+  line-height: inherit;
+  font-family: inherit;
+}
+
+.jp-RenderedText pre {
+  color: var(--jp-content-font-color1);
+  font-size: var(--jp-code-font-size);
+}
+
+/* Hiding the collapser by default */
+.jp-Collapser {
+  display: none;
+}
+
+@page {
+    margin: 0.5in; /* Margin for each printed piece of paper */
+}
+
+@media print {
+  .jp-Cell-inputWrapper,
+  .jp-Cell-outputWrapper {
+    display: block;
+  }
+}
+</style>
+<!-- Load mathjax -->
+<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/latest.js?config=TeX-AMS_CHTML-full,Safe"> </script>
+<!-- MathJax configuration -->
+<script type="text/x-mathjax-config">
+    init_mathjax = function() {
+        if (window.MathJax) {
+        // MathJax loaded
+            MathJax.Hub.Config({
+                TeX: {
+                    equationNumbers: {
+                    autoNumber: "AMS",
+                    useLabelIds: true
+                    }
+                },
+                tex2jax: {
+                    inlineMath: [ ['$','$'], ["\\(","\\)"] ],
+                    displayMath: [ ['$$','$$'], ["\\[","\\]"] ],
+                    processEscapes: true,
+                    processEnvironments: true
+                },
+                displayAlign: 'center',
+                CommonHTML: {
+                    linebreaks: {
+                    automatic: true
+                    }
+                }
+            });
+
+            MathJax.Hub.Queue(["Typeset", MathJax.Hub]);
+        }
+    }
+    init_mathjax();
+    </script>
+<!-- End of mathjax configuration --><script type="module">
+  document.addEventListener("DOMContentLoaded", async () => {
+    const diagrams = document.querySelectorAll(".jp-Mermaid > pre.mermaid");
+    // do not load mermaidjs if not needed
+    if (!diagrams.length) {
+      return;
+    }
+    const mermaid = (await import("https://cdnjs.cloudflare.com/ajax/libs/mermaid/10.6.0/mermaid.esm.min.mjs")).default;
+    const parser = new DOMParser();
+
+    mermaid.initialize({
+      maxTextSize: 100000,
+      startOnLoad: false,
+      fontFamily: window
+        .getComputedStyle(document.body)
+        .getPropertyValue("--jp-ui-font-family"),
+      theme: document.querySelector("body[data-jp-theme-light='true']")
+        ? "default"
+        : "dark",
+    });
+
+    let _nextMermaidId = 0;
+
+    function makeMermaidImage(svg) {
+      const img = document.createElement("img");
+      const doc = parser.parseFromString(svg, "image/svg+xml");
+      const svgEl = doc.querySelector("svg");
+      const { maxWidth } = svgEl?.style || {};
+      const firstTitle = doc.querySelector("title");
+      const firstDesc = doc.querySelector("desc");
+
+      img.setAttribute("src", `data:image/svg+xml,${encodeURIComponent(svg)}`);
+      if (maxWidth) {
+        img.width = parseInt(maxWidth);
+      }
+      if (firstTitle) {
+        img.setAttribute("alt", firstTitle.textContent);
+      }
+      if (firstDesc) {
+        const caption = document.createElement("figcaption");
+        caption.className = "sr-only";
+        caption.textContent = firstDesc.textContent;
+        return [img, caption];
+      }
+      return [img];
+    }
+
+    async function makeMermaidError(text) {
+      let errorMessage = "";
+      try {
+        await mermaid.parse(text);
+      } catch (err) {
+        errorMessage = `${err}`;
+      }
+
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+<!-- End of mermaid configuration --></head>
+<body class="jp-Notebook" data-jp-theme-light="true" data-jp-theme-name="JupyterLab Light">
+<main>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h1 id="Prediction:-Beyond-Simple-Random-Walks">Prediction: Beyond Simple Random Walks<a class="anchor-link" href="#Prediction:-Beyond-Simple-Random-Walks">¶</a></h1><p>The tracking algorithm, at its simplest level, takes each particle in the previous frame and tries to find it in the current frame. This requires knowing where to look for it; if we find an actual particle near that spot, it's probably a match. The basic algorithm (Crocker &amp; Grier) was developed to track particles undergoing Brownian diffusion, which ideally means that a particle's velocity is uncorrelated from one frame to the next. Therefore, the best guess for where a particle is going is that it will be near its most recent location.</p>
+<p>Let's formalize this guessing as <em>prediction</em>. Consider a function</p>
+$$P(t_1, t_0, \vec x(t_0))$$<p>that takes the particle at position $\vec x(t_0)$ and predicts its future position $\vec x(t_1)$. The optimal predictor for Brownian motion is</p>
+$$P(t_1, t_0, \vec x(t_0)) = \vec x(t_0)$$<p>which happily is also the easiest to implement.</p>
+<p>The better our prediction about where to look in the next frame, the more likely we will find the one and only particle we seek. <code>trackpy</code> looks for the particle in a small region of radius <code>search_range</code>, centered on $P(t_1, t_0, \vec x(t_0))$. So to successfully track particle $i$ puts a limit on the error in our prediction:</p>
+$$\|P(t_1, t_0, \vec x_i(t_0)) - \vec x_i(t_1)\| \le \tt{search\_range}$$<p>This favors a generous <code>search_range</code>. However, if <code>search_range</code> is too big, then for each particle in the previous frame there will be many possible matches in the current frame, and so matching one frame to the next requires the computer to consider a mind-boggling set of possibilities. Tracking may become impossibly slow, and this causes <code>trackpy</code> to halt and raise a <code>SubnetOversizeException</code>, rather than keep you waiting forever. So for the Brownian $P$ above, <code>search_range</code> must be bigger than the largest particle displacement between frames, but smaller than the typical spacing between particles. If such a value cannot be found among the real numbers, then you have a problem.</p>
+<p>However, if particle motion is not strictly Brownian, its velocity probably <em>is</em> correlated in time. We may be able to improve $P$. We will now do this with <code>trackpy</code>.</p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="Prescribed-predictors">Prescribed predictors<a class="anchor-link" href="#Prescribed-predictors">¶</a></h2><p>Let's start by demonstrating the mechanics of $P$ in <code>trackpy</code>. <code>trackpy</code>'s various <code>link_</code> functions accept a <code>predictor</code> argument, which is a Python function that implements $P$.</p>
+<p>Before we see how, let's fake some data: a regular array of particles, translating with constant velocity.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [1]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="o">%</span><span class="k">matplotlib</span> inline
+<span class="kn">from</span> <span class="nn">pylab</span> <span class="kn">import</span> <span class="o">*</span>  <span class="c1"># not recommended usage, but we use it for brevity here</span>
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">import</span> <span class="nn">pandas</span>
+
+<span class="k">def</span> <span class="nf">fakeframe</span><span class="p">(</span><span class="n">t</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">Nside</span><span class="o">=</span><span class="mi">4</span><span class="p">):</span>
+    <span class="n">xg</span><span class="p">,</span> <span class="n">yg</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mgrid</span><span class="p">[:</span><span class="n">Nside</span><span class="p">,:</span><span class="n">Nside</span><span class="p">]</span>
+    <span class="n">dx</span> <span class="o">=</span> <span class="mi">1</span> <span class="o">*</span> <span class="n">t</span>
+    <span class="n">dy</span> <span class="o">=</span> <span class="o">-</span><span class="mi">1</span> <span class="o">*</span> <span class="n">t</span>
+    <span class="k">return</span> <span class="n">pandas</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span>
+            <span class="nb">dict</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="n">xg</span><span class="o">.</span><span class="n">flatten</span><span class="p">()</span> <span class="o">+</span> <span class="n">dx</span><span class="p">,</span> <span class="n">y</span><span class="o">=</span><span class="n">yg</span><span class="o">.</span><span class="n">flatten</span><span class="p">()</span> <span class="o">+</span> <span class="n">dy</span><span class="p">,</span> <span class="n">frame</span><span class="o">=</span><span class="n">t</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>Let's visualize 2 frames. In all of the plots below, the blue circles are the particles of the first frame and the green squares are the particles of the last frame.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [2]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">f0</span> <span class="o">=</span> <span class="n">fakeframe</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
+<span class="n">f1</span> <span class="o">=</span> <span class="n">fakeframe</span><span class="p">(</span><span class="mf">0.8</span><span class="p">)</span>
+<span class="n">plot</span><span class="p">(</span><span class="n">f0</span><span class="o">.</span><span class="n">x</span><span class="p">,</span> <span class="n">f0</span><span class="o">.</span><span class="n">y</span><span class="p">,</span> <span class="s1">'bo'</span><span class="p">)</span>
+<span class="n">plot</span><span class="p">(</span><span class="n">f1</span><span class="o">.</span><span class="n">x</span><span class="p">,</span> <span class="n">f1</span><span class="o">.</span><span class="n">y</span><span class="p">,</span> <span class="s1">'gs'</span><span class="p">)</span>
+<span class="n">axis</span><span class="p">(</span><span class="s1">'equal'</span><span class="p">);</span> <span class="n">ylim</span><span class="p">(</span><span class="n">ymin</span><span class="o">=-</span><span class="mf">1.0</span><span class="p">,</span> <span class="n">ymax</span><span class="o">=</span><span class="mf">3.5</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child jp-OutputArea-executeResult">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[2]:</div>
+<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
+<pre>(-1.0, 3.5)</pre>
+</div>
+</div>
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedImage jp-OutputArea-output" tabindex="0">
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
+"/>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>Track and visualize.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [3]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">trackpy</span>
+<span class="n">tr</span> <span class="o">=</span> <span class="n">pandas</span><span class="o">.</span><span class="n">concat</span><span class="p">(</span><span class="n">trackpy</span><span class="o">.</span><span class="n">link_df_iter</span><span class="p">((</span><span class="n">f0</span><span class="p">,</span> <span class="n">f1</span><span class="p">),</span> <span class="mf">0.5</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>Frame 0.8: 16 trajectories present.
+</pre>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [4]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">trshow</span><span class="p">(</span><span class="n">tr</span><span class="p">,</span> <span class="n">first_style</span><span class="o">=</span><span class="s1">'bo'</span><span class="p">,</span> <span class="n">last_style</span><span class="o">=</span><span class="s1">'gs'</span><span class="p">,</span> <span class="n">style</span><span class="o">=</span><span class="s1">'b.'</span><span class="p">):</span>
+    <span class="n">frames</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">tr</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s1">'frame'</span><span class="p">))</span>
+    <span class="n">nframes</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">frames</span><span class="p">)</span>
+    <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="p">(</span><span class="n">fnum</span><span class="p">,</span> <span class="n">pts</span><span class="p">)</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">frames</span><span class="p">):</span>
+        <span class="k">if</span> <span class="n">i</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
+            <span class="n">sty</span> <span class="o">=</span> <span class="n">first_style</span>
+        <span class="k">elif</span> <span class="n">i</span> <span class="o">==</span> <span class="n">nframes</span> <span class="o">-</span> <span class="mi">1</span><span class="p">:</span>
+            <span class="n">sty</span> <span class="o">=</span> <span class="n">last_style</span>
+        <span class="k">else</span><span class="p">:</span>
+            <span class="n">sty</span> <span class="o">=</span> <span class="n">style</span>
+        <span class="n">plot</span><span class="p">(</span><span class="n">pts</span><span class="o">.</span><span class="n">x</span><span class="p">,</span> <span class="n">pts</span><span class="o">.</span><span class="n">y</span><span class="p">,</span> <span class="n">sty</span><span class="p">)</span>
+    <span class="n">trackpy</span><span class="o">.</span><span class="n">plot_traj</span><span class="p">(</span><span class="n">tr</span><span class="p">,</span> <span class="n">colorby</span><span class="o">=</span><span class="s1">'frame'</span><span class="p">,</span> <span class="n">ax</span><span class="o">=</span><span class="n">gca</span><span class="p">())</span>
+    <span class="n">axis</span><span class="p">(</span><span class="s1">'equal'</span><span class="p">);</span> <span class="n">ylim</span><span class="p">(</span><span class="n">ymin</span><span class="o">=-</span><span class="mf">1.0</span><span class="p">,</span> <span class="n">ymax</span><span class="o">=</span><span class="mf">3.5</span><span class="p">)</span>
+    <span class="n">xlabel</span><span class="p">(</span><span class="s1">'x'</span><span class="p">)</span>
+    <span class="n">ylabel</span><span class="p">(</span><span class="s1">'y'</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [5]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">trshow</span><span class="p">(</span><span class="n">tr</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>Drawing multicolor lines takes awhile. Come back in a minute.
+</pre>
+</div>
+</div>
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedImage jp-OutputArea-output" tabindex="0">
+<img alt="No description has been provided for this image" class="" 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+<p>Obviously this is not what we wanted at all! Let's give <code>trackpy.link_df_iter()</code> a $P$ which reflects this constant velocity.</p>
+<p>We define <code>predict()</code> for a single particle, and use the <code>trackpy.predict.predictor</code> decorator to let it make predictions for many particles at once. Then, we pass it to <code>link_df_iter()</code> via the <code>predictor</code> argument.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [6]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">trackpy.predict</span>
+
+<span class="nd">@trackpy</span><span class="o">.</span><span class="n">predict</span><span class="o">.</span><span class="n">predictor</span>
+<span class="k">def</span> <span class="nf">predict</span><span class="p">(</span><span class="n">t1</span><span class="p">,</span> <span class="n">particle</span><span class="p">):</span>
+    <span class="c1"># This is supposed to be close to the velocity in fakeframe().</span>
+    <span class="c1"># Note that the default order for coordinates in trackpy is (y, x).</span>
+    <span class="c1"># You will rarely have to know this unless you are doing something</span>
+    <span class="c1"># nerdy like making your own predictor.</span>
+    <span class="n">velocity</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">((</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">))</span>  <span class="c1"># (v_y, v_x)</span>
+    <span class="k">return</span> <span class="n">particle</span><span class="o">.</span><span class="n">pos</span> <span class="o">+</span> <span class="n">velocity</span> <span class="o">*</span> <span class="p">(</span><span class="n">t1</span> <span class="o">-</span> <span class="n">particle</span><span class="o">.</span><span class="n">t</span><span class="p">)</span>
+
+<span class="n">tr</span> <span class="o">=</span> <span class="n">pandas</span><span class="o">.</span><span class="n">concat</span><span class="p">(</span><span class="n">trackpy</span><span class="o">.</span><span class="n">link_df_iter</span><span class="p">((</span><span class="n">f0</span><span class="p">,</span> <span class="n">f1</span><span class="p">),</span> <span class="mf">0.5</span><span class="p">,</span> <span class="n">predictor</span><span class="o">=</span><span class="n">predict</span><span class="p">))</span>
+<span class="n">trshow</span><span class="p">(</span><span class="n">tr</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
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+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>Drawing multicolor lines takes awhile. Come back in a minute.
+</pre>
+</div>
+</div>
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedImage jp-OutputArea-output" tabindex="0">
+<img alt="No description has been provided for this image" class="" 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
+"/>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>Yay! Remember: Our predictor doesn't have to know exactly where the particle will be; it just has to bias the search enough that the correct identification will be made.</p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="Dynamic-predictors">Dynamic predictors<a class="anchor-link" href="#Dynamic-predictors">¶</a></h2><p>Of course, it's rare that you will know your particles' velocities ahead of time. It would be much better for the predictor to "learn" about the velocities, and allow different particles to have different velocities that can change over time. To accomplish this, we have to do more than just supply $P$: we have to know particles' most recent velocities.</p>
+$$P(t_1, t_0, \vec x_i(t_0)) = \vec x_i(t_0) + \frac{\vec x_i(t_0) - \vec x_i(t_{-1})}{t_0 - t_{-1}} (t_1 - t_0)$$<p>To implement this kind of prediction in <code>trackpy</code>, we use instances of the <a href="https://github.com/soft-matter/trackpy/blob/e468027d7bb6e96cbb9f2048530cbc6e8c7172d8/trackpy/predict.py#L145-L196"><code>trackpy.predict.NearestVelocityPredict</code></a> class.</p>
+<p>There are a few caveats:</p>
+<ul>
+<li><p>Defining this new $P$ for particle $i$ specifically is problematic, because if a new particle is in frame $t_0$ but wasn't in $t_{-1}$, we won't know its velocity. So newly-appeared particles just borrow the velocity of the closest old particle.</p>
+</li>
+<li><p>Velocities are undefined in the first frame of the movie, because there is no previous frame. The code falls back to an initial guess of $\vec v_0 = 0$. However, <code>NearestVelocityPredict</code>, and the other classes in <code>trackpy.predict</code>, allow one to instead specify an initial velocity profile, field, etc. See the docstring of each class.</p>
+</li>
+<li><p>Even though particles may be in motion at the start of the movie, the default of $\vec v_0 = 0$ is not always so bad. In many cases, at least some of the particles are moving slowly enough that they can be tracked and their velocity can be obtained. Because particles with unknown velocity just borrow the nearest known velocity, as we just discussed, this may give the code a foothold to track more particles in later frames. Your mileage may vary.</p>
+</li>
+</ul>
+<p>OK, let's see this in action. We'll make a 3-frame movie that starts with small displacements (because of the $\vec v_0 = 0$ assumption) and then speeds up.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [7]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">frames</span> <span class="o">=</span> <span class="p">(</span><span class="n">fakeframe</span><span class="p">(</span><span class="mi">0</span><span class="p">),</span> <span class="n">fakeframe</span><span class="p">(</span><span class="mf">0.25</span><span class="p">),</span> <span class="n">fakeframe</span><span class="p">(</span><span class="mf">0.65</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>Without prediction, linking of the particles in the top row can't even make it to the 3rd frame.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [8]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">tr</span> <span class="o">=</span> <span class="n">pandas</span><span class="o">.</span><span class="n">concat</span><span class="p">(</span><span class="n">trackpy</span><span class="o">.</span><span class="n">link_df_iter</span><span class="p">(</span><span class="n">frames</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">))</span>
+<span class="n">trshow</span><span class="p">(</span><span class="n">tr</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>Drawing multicolor lines takes awhile. Come back in a minute.
+</pre>
+</div>
+</div>
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedImage jp-OutputArea-output" tabindex="0">
+<img alt="No description has been provided for this image" class="" 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
+"/>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><code>NearestVelocityPredict</code> objects work by watching the output of linking as it happens, and updating $P$ to use the latest velocities. These objects provide modified versions of trackpy's two main linking functions, <code>link_df_iter()</code> and <code>link_df()</code>, that work like their namesakes but add dynamic prediction.</p>
+<p>First, we use <code>link_df_iter()</code> to link the frames with prediction:</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [9]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">pred</span> <span class="o">=</span> <span class="n">trackpy</span><span class="o">.</span><span class="n">predict</span><span class="o">.</span><span class="n">NearestVelocityPredict</span><span class="p">()</span>
+<span class="n">tr</span> <span class="o">=</span> <span class="n">pandas</span><span class="o">.</span><span class="n">concat</span><span class="p">(</span><span class="n">pred</span><span class="o">.</span><span class="n">link_df_iter</span><span class="p">(</span><span class="n">frames</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">))</span>
+<span class="n">trshow</span><span class="p">(</span><span class="n">tr</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>Drawing multicolor lines takes awhile. Come back in a minute.
+</pre>
+</div>
+</div>
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
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+<img alt="No description has been provided for this image" class="" 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bkZy5cvR1JSEvz9/REREYFZs2bhyy+/7Hbf/Px8GAwGh1tiYmLfF0/9DgOTHAxMcjAwycHARADgp3UBPdXa2opJkybh4MGDiIyMRHZ2Nk6fPo1du3bh/fffx4cffog77rjD6f4HDx4EAKSlpWHkyJE2j0VGRvZp7dR/WQKT5dYomZm8NUpPWAKT5dYoU6fy1ig9YQlMgHJrlHnzeGuUnrAEJkC5NcpvfqN8zVuj+BChU6tXrxYARHJysrh06ZIQQgiz2SwWLFggAIhbbrlFdf9p06YJAGLXrl29qsNkMgkAwmQy9ep5qH+5eFGItDQhACGio4UoLta6In1qbhYiO1vpY3CwEJ98onVF+mQ2C5Gbq/TRaBRi+3atK9Knjg4hVqxQ+ggI8Yc/aF0R9YY779+6PQ23bds2AMAjjzyCIUOGAACMRiN+8+/I/8UXX6Ctrc3p/ocOHQIATJgwoY8rJV/EU3Jy8JScHDwlJwdPyfku3YalCxcuICgoCGlpaTbjloDU0dEBs9nscN+zZ8+ipqYGcXFx2LJlC5KTkxEQEIDk5GQ888wzTvcjcgcDkxwMTHIwMMnBwOSjPHCky2OuXbsmpk6dKgCI7Oxsp/PefPNNAUAAEIMHDxZ33XWXuOmmm6xj9957r9N9W1tbhclksm7l5eU8DUeqeEpODp6Sk4On5OTgKTn9c+c0XL8JS5cvXxazZs0SAERISIgoKipyOvfpp58WsbGxIiMjQzQ0NFjHN23aZA1Me/fudbjvypUrrXM6bwxLpIaBSQ4GJjkYmORgYNI3nwtLf//730VMTIwAICIjI8X+/ft7/Fzjxo0TAMTy5csdPs4jS9RTDExyMDDJwcAkBwOTfvnEBd6Ass7SggULMHv2bFRWVmLmzJk4evQoJk6c2OPntCwjYDKZHD7u7++P0NBQm43IFbyGSQ5ewyQHr2GSg9cw+QbdhqUrV65g8uTJeOONNxAZGYkdO3YgLy8PUVFR3e6bmZmJqKgovPrqq3aPlZWVAQBGjBghu2QiBiZJGJjkYGCSg4Gp/9NtWHrsscdw4MABJCQk4PDhw5gzZ47Debm5uUhJSUFKSop1LCUlBdXV1Xj++edRW1trHX/nnXfw+eefw9/fH3Pnzu3z10C+iYFJDgYmORiY5GBg6t8MQgihdRHuam5uxrBhw3DlyhUkJSXh29/+tsN5GzduxKxZs7B3714AgOWl1tfX47bbbsPJkycREhKC8ePHo66uDkePHoUQAi+//DIeeughl2ppaGhAWFgYTCYTT8mRW2pqrq/0HR3Nlb57qqXl+krfwcFc6bun2tuBn/1MWenbaORK3z0lhBKaVq1Svv/DH7jSt7dy6/27j6+f6hNHjhxx+Im0rltVVZXIyMiwft9ZfX29ePLJJ8X3vvc9ERISIkJDQ0V2drb48MMP3aqFK3hTb/Cibzl40bccvOhbDl70rQ/uvH/r8siSN+GRJeotHmGSg0eY5OARJjl4hMn7ufP+zbDUSwxLJEPnwBQZZcbL24vxrZGOb9czNHAoEsISPFyhPnQOTEHBHVi35RTG3NLscC776JxtYBJ45n9LMfnueodz2Ufnugam/1pZgZyfX3Q4l330PIYlD2JYIllqaoD0zKso/nogEFwJPJAJDD1lNy/ALwDFjxTzB6sTLS3AXdNasX9vADCwEciZCiR8ajePfVTX3g7cl9OEt7cFAwYzcO88IPVtu3nsozohgP96zIQXnwtTBu5aAkz8H7t57KPnufP+rdtPwxH1N8OGAS+9dRKI/ApoigE2FgC1o+3mtZpbUdtSa/8EBED5lNyzr50Ahu8GroYAW/KBc/Zrr7GP6oxG4He/LwG+twkQfsCObcBx+08ds4/qDAbg/sVngIynlIEPXgA+/S+7eeyjd2NYIvIigyPMwMJJtoGp7ltal6U7gwIFMH+GbWA6P1brsnTHaAQw82e2genkPVqXpTsGA4DMJ20D08FfaVkSuclP6wKIqIugWiUwbdoDhJcBIVVaV6RPA68ogenNd4C2MGDIGa0r0qcBHUpgAoBv7gSijmpbj15ZAhMAfP6fQNxnWlZDbmJYIvJGQbXKNUsDmwC/q1pXo1+WwNQ+EBjk+BZG5AJLYGoZCgQ7vkCZXGAJTONeBkIuaF0NuYFhichbBV7WuoL+YeAVAFe0rkL/BnQwKMlgAIOSDvGaJSIiIiIVDEtEREREKhiWiLzI0MChCPALUJ0T4BeAoYFDPVSRPrGPcrCPcrCP+sdFKXuJi1KSbOdM51TXW+FKv65hH+VgH+VgH70PV/D2IIYlIiIi/eEK3kRERESSMCwRERERqWBYIiIiIlLBsERERESkgmGJiIiISAXDEhEREZEKhiUiIiIiFQxLRERERCoYloiIiIhUMCwRERERqWBYIiIiIlLBsERERESkgmGJiIiISAXDEhEREZEKhiUiIiIiFboOS83NzVi+fDmSkpLg7++PiIgIzJo1C19++aVL+2/ZsgVjx45FUFAQhg0bhjlz5uDEiRN9XDURERHpiUEIIbQuoidaW1uRkZGBgwcPIjIyEmPHjsXp06dx6tQpBAQE4MMPP8Qdd9zhdP/Vq1dj+fLl8PPzQ3p6OqqqqnDy5EmEhYVh//79SE1NdamOhoYGhIWFwWQyITQ0VNbLIze0twP79gFVVUB0NJCeDhiNWlelP+yjPOylHOwj9SW33r+FTq1evVoAEMnJyeLSpUtCCCHMZrNYsGCBACBuueUWp/uePn1aGI1GYTAYxO7du4UQQnR0dIiFCxcKACIjI8PlOkwmkwAgTCZTr14P9czbbwsRFycEcH2Li1PGyXXsozzspRzsI/U1d96/dRuW0tLSBADxpz/9yWb8X//6lwAgjEajaG1tdbjvU089JQCI9PR0m/FTp04JAAKAKC0tdakOhiXtvP22EAaD7Q9TQBkzGPhD1VXsozzspRzsI3mCO+/fur1m6cKFCwgKCkJaWprNeFtbGwCgo6MDZrPZ4b6HDh0CAGRlZdmMjxo1CjExMQCAL774QnbJJFF7O7B4sfIjtCvL2K9/rcwj59hHedhLOdhH8ka6DUs1NTVoampCZmamdcxsNuOpp54CAEyaNAlBQUEO971w4QIAIDY21u4xy1h1dbXDfdva2tDQ0GCzkeft2wdUVDh/XAigvFyZR86xj/Kwl3Kwj+SNdBuWuqqrq8PcuXORn5+PkJAQvPjii07n1tfXA4DDMGW5yMsyp6u1a9ciLCzMusXHx/e6dnJfVZXceb6KfZSHvZSDfSRv1C/CUl5eHtLS0pCXl4fIyEjk5+erfpotPDwcgLL0QFeNjY02c7paunQpTCaTdSsvL+91/eS+6Gi583wV+ygPeykH+0jeSNdhqbm5GQsWLMDs2bNRWVmJmTNn4ujRo5g4caLqflFRUQCAyspKu8csYzfeeKPDff39/REaGmqzkeelpwNxcYDB4HxOTIwyj5xzpY9RUeyjK1zpZXw8e9kd9pG8kW7D0pUrVzB58mS88cYbiIyMxI4dO5CXl2cNQmrGjx8PACgoKLAZLy0tRcW/T5aPHTtWes0kj9EIWM60OvuhajQCly55riY9cqWPbW3AmTOeq0mvXOnlL37BdYK640of77uPfSTP0m1Yeuyxx3DgwAEkJCTg8OHDmDNnjsN5ubm5SElJQUpKinVswYIFMBqNKCwstAlMa9asAQBkZGQgMTGxL8snCX70I2DHDqDrdfpRUcCQIcpFoJMmARcvalOfXjjrY0wMkJAA1NUBmZlASYkm5emKs176+yt/rl0L7N/v+br0xlkfAwOVP//nf5THiTxFlyt4Nzc3Y9iwYbhy5QqSkpLw7W9/2+G8jRs3YtasWdi7dy8AoPNLffrpp7FixQrccMMNSE9Px4ULF/D1118jNDQUn376KVfw1hFHq/yeOQNkZQGVlUBqKrBnDxAZqXWl3s1RHy9fVgJnUZEyVlAAJCVpXan369rLsWOB2bOBjz4CgoOB/Hzg9tu1rtL7de3jxInAf/wHsHmzcmRp2zbg3nu1rpL0qt+v4H3kyBHr4pFqW1VVlcjIyLB+39WGDRvEmDFjxKBBg0RERISYNWuWKCoqcqsWLkrpvYqLhYiJURazS00Vorpa64r06eJFIdLSlD5GRyt9Jfc1NwuRna30MThYiE8+0boifTKbhcjNVfpoNAqxfbvWFZFeufP+rcsjS96ER5a8W0kJjzDJUFPDI0wytLQAM2bwCFNvtbcDP/sZjzBR77jz/q3ba5aIXJGUBHz8sXL9zfHjvIapp4YNU4JmWppySoTXMPVMYCDwzjtAdjbQ1ARMncprmHrCaARefx3IzVWC07x5vIaJ+hbDEvV7DExyMDDJwcAkBwMTeRLDEvkEBiY5GJjkYGCSg4GJPIVhiXwGA5McDExyMDDJwcBEnsCwRD6FgUkOBiY5GJjkYGCivsawRD6HgUkOBiY5GJjkYGCivsSwRD6JgUkOBiY5GJjkYGCivsKwRD6LgUkOBiY5GJjkYGCivsCwRD6NgUkOBiY5GJjkYGAi2RiWyOcxMMnBwCQHA5McDEwkE2930ku83Un/0fXWKFu2AHV1wOjRQFyc1tXpR9dbo2zbprxZsY/u6XprlM2bgfBw9tFdXW+N8tJLyi9I7CO58/7NsNRLDEv9S+fAZDFgAPDKK8CiRdrVpTedA5MF++i+zoHJgn10X+fAZME+EsOSBzEs9T+FhUBGhu2Y0QiUlfE3UXccPQqMGWM7xj6679Qp+5sWs4/u++YbIDHRdox99G28kS5RL7S3Ox47fdrztejZ5cv2Y+yj+yoq7MfYR/edPWs/xj6SqxiWiLoYPVo5RN9VeLjHS9E1Z310NEbOOetjXZ3na9EzZ30sLvZ8LaQ//LFF1EVcnHItg9FoO56Tw0/JucNZH+fN46fk3OGsj7m5/JScO7r20WBQ/nz4YX5KjrrHa5Z6idcs9V8VFcoh+gEDgPnzr39Kbs8eIDJS6+r0w9LHwYOVwGn5lFxBgf21OOScpY+xscAvf3n9U3L5+cDtt2tdnX5Y+jh8OLBixfVPyW3bBtx7r9bVkSfxAm8PYljyDV2XFWBg6pmuywowMPVM12UFGJh6puuyAgxMvoUXeBNJxoUr5eDClXJw4Uo5uHAluYphichFDExyMDDJwcAkBwMTuYJhicgNDExyMDDJwcAkBwMTdYdhichNDExyMDDJwcAkBwMTqWFYIuoBBiY5GJjkYGCSg4GJnGFYIuohBiY5GJjkYGCSg4GJHGFYIuoFBiY5GJjkYGCSg4GJumJYIuolBiY5GJjkYGCSg4GJOmNYIpKAgUkOBiY5GJjkYGAiC92HpX379sFgMCAzM9PlffLz82EwGBxuiYmJfVYr9W8MTHIwMMnBwCQHAxMBgJ/WBfREa2srzp07h127duHpp592e/+DBw8CANLS0jBy5EibxyJ5DwvqBUtgysq6Hph4axT3WQKT5dYomZm8NUpPWAKT5dYoU6fy1ig9YQlMgHJrlHnzeGsUX6PLe8OFh4fDZDLZjGVkZKCgoMCl/adPn45//vOf2LVrF2bMmNGrWnhvOHKE95KTg/eSk4P3kpOD95LrX/r9veGmT5+OmTNnYubMmYiPj3d7/0OHDgEAJkyYILs0IgA8JScLT8nJwVNycvCUnO/SZVjaunUr8vLykJeXh0mTJrm179mzZ1FTU4O4uDhs2bIFycnJCAgIQHJyMp555hmYzeY+qpp8DQOTHAxMcjAwycHA5Jt0GZZ6w3K9UkVFBdasWYPExESMHDkSJSUleOKJJzB//nzV/dva2tDQ0GCzETnDwCQHA5McDExyMDD5Hp8LS6dPn0ZsbCwyMjLwzTff4P3338fx48exadMmAMCOHTtQWFjodP+1a9ciLCzMuvXkNCD5FgYmORiY5GBgkoOBybf4XFhatmwZKioqUFBQgJCQEOt4bm4uxo0bBwDYvXu30/2XLl0Kk8lk3crLy/u8ZtI/BiY5GJjkYGCSg4HJd/hcWFJjWUag6yftOvP390doaKjNRuQKBiY5GJjkYGCSg4HJN/hcWMrMzERUVBReffVVu8fKysoAACNGjPBwVeQrGJjkYGCSg4FJDgam/q9fh6Xc3FykpKQgJSXFOpaSkoLq6mo8//zzqK2ttY6/8847+Pzzz+Hv74+5c+dqUS75CAYmORiY5GBgkoOBqX/r12Hp3LlzKC4uRnFxsXXsv//7v5GSkoKSkhKMGDEC2dnZuPnmmzF79mwYDAasW7cOMTExGlZNvoCBSQ4GJjkYmORgYOq/+nVYciQ8PBwHDhzAk08+iREjRuDQoUM4c+YMsrKy8MEHH+Chhx7SukTyEQxMcjAwycHAJAcDU/+ky9udeBPe7oR6i7dGkYO3RpGDt0aRg7dG8X7uvH8zLPUSwxLJ0DkwJX37Kl566ySGDHW8mvzQwKFICEvwcIX60DkwRUaZ8fL2YnxrZJvDueyjc50DU1BwB9ZtOYUxtzQ7nMs+OmcbmASe+d9STL673uFc9tHzGJY8iGGJZCkpAe7MNKO6yg8YVgQsnAQE19jNC/ALQPEjxfzB6kRNDZCeeRXFXw8EgiuBBzKBoafs5rGP6lpagLumtWL/3gBgYCOQMxVI+NRuHvuorr0duC+nCW9vCwYMZuDeeUDq23bz2EfP6/c30iXqj5KSgP/9WzEQch6oSQM27QGahtnNazW3oral1sEzEKBcw/TSWyeByK+AphhgYwFQO9puHvuoLjAQePa1E8Dw3cDVEGBLPnBuot089lGd0Qj87vclwPc2AcIP2LENOD7Hbh776N0Yloi8yLdGtgELs7oNTKRucIRZOTLXTWAidYMCBTB/RreBidQZjQBm/qzbwETei2GJyNsMPXU9MN1wBTBe07oifQqqvR6Y/NqUjdw38Mr1wDTgGuB3ReuK9GlAx/XANKAdGOj4GjDyTn5aF0BEDgw9Bfz0TmDQZWBQvdbV6JclMF0LBMLPaV2NflkCU30iEHlC62r0yxKYbv0jEH1E62rIDQxLRN5qyFmtK+gfgngdiBQDrzAoyTCgg0FJh3gajoiIiEgFwxIRERGRCrfD0s0334x169ahpsZ+/Rci6p2hgUMR4BegOifALwBDA4d6qCJ9Yh/lYB/lYB/1z+1FKQcMGACDwQA/Pz9MnToVubm5uOeeezBw4MC+qtGrcVFKku2c6Zzqeitc6dc17KMc7KMc7KP36dMVvFevXo3t27fjq6++Up7AYEB4eDjuu+8+5Obm4tZbb+155TrEsERERKQ/HrndycmTJ7Ft2zZs374dJ04on5AwGAwYNWoUFi5ciJycHCQk9P+UzLBERESkPx6/N1xRURHeeustvP7666iqqoLBYMCAAQMwdepUrFq1Ct///vd7+1d4LYYlIiIi/fHoveHq6urw2WefYf/+/aiurgYACCHQ3t6Of/zjH7jlllvwj3/8o7d/DREREZEmehSWWlpa8Oabb2LGjBmIjo7GL37xCxQUFAAApkyZgrfeegvvvvsupk2bhvb2dixZskRmzUREREQe4/YK3j/5yU/w7rvvoqWlBZYzeKNGjcIDDzyAhQsXIjY21jp3+vTpSExMRFlZmbSCiYiIiDzJ7bC0bds2AEBQUBDmzp2Ln/70p0hPT3c6/4YbbuC1PERERKRbboel22+/HT/72c/w4x//GEFBQd3OP3XqVI8KIyIiIvIGboelffv29UUdRERERF6J94YjIiIiUsGwRERERKSCYYmIiIhIBcMSERERkQqGJSIiIiIVDEtEREREKhiWiIiIiFToPizt27cPBoMBmZmZbu23ZcsWjB07FkFBQRg2bBjmzJmDEydO9E2RREREpFtuL0rpDVpbW3Hu3Dns2rULTz/9tNv7r169GsuXL4efnx/S09NRVVWFnTt34qOPPsL+/fuRmpraB1VTX2lvB/btA6qqgOhoID0dMBq1rkp/2Ed52Es52EfyGkKHwsLCBACbLSMjw6V9T58+LYxGozAYDGL37t1CCCE6OjrEwoUL3XoeC5PJJAAIk8nk5qsgGd5+W4i4OCGA61tcnDJOrmMf5WEv5WAfqa+58/6ty9Nw06dPx8yZMzFz5kzEx8e7te/WrVvR3t6OO+64A9nZ2QAAg8GAZcuWAQD27t2LsrIy2SVTH9i5E7j3XqCiwnb8/HllfOdOberSG/ZRHvZSDvaRvI0uw9LWrVuRl5eHvLw8TJo0ya19Dx06BADIysqyGR81ahRiYmIAAF988YWcQqnPtLcDixcrv292ZRn79a+VeeQc+ygPeykH+0jeSJdhqTcuXLgAAIiNjbV7zDJWXV3tdP+2tjY0NDTYbOR5+/bZ/9bZmRBAebkyj5xjH+VhL+VgH8kb+VxYqq+vBwAEBQXZPRYaGmozx5G1a9ciLCzMurl7GpDkqKqSO89XsY/ysJdysI/kjXwuLIWHhwMAmpub7R5rbGy0mePI0qVLYTKZrFt5eXlflEndiI6WO89XsY/ysJdysI/kjXwuLEVFRQEAKisr7R6zjN14441O9/f390doaKjNRp6Xng7ExQEGg/M5sbHKPHLOlT7GxLCPrnCll/Hx7GV32EfyRj4XlsaPHw8AKCgosBkvLS1Fxb9PlI8dO9bTZZGbjEbgxReVr539UB08GGhr81xNeuRKH41G4NIlz9WkV6708tFHuU5Qd1zp4y9+wT6SZ/XrsJSbm4uUlBSkpKRYxxYsWACj0YjCwkKbwLRmzRoAQEZGBhITEz1cKfXEj34E7NihHEHqLDISCAgAioqAu+8GWlq0qU8vnPUxKgoYMkS5mHbSJODiRW3q0xNnvbzhBuXPZ54BSko8X5feOOujv7/y59q1wP79nq+LfFe/Dkvnzp1DcXExiouLrWMjR47EypUrIYTAXXfdhezsbKSmpuK1115DaGgoXnrpJQ0rJnf96EdAWRnw8cfAG28of1ZWAh99BAQHK98zMHXPUR8rKoADB5TTcMePMzC5ylEvz50D0tKUi5IzMxmYXOGojzU1QHY20NQETJ3KwEQe1PdrZPYttZW3MzIyrCt8d7VhwwYxZswYMWjQIBERESFmzZolioqK3P77uYK399q/X4jgYGXl36wsIZqbta5In0pKhIiJUfqYmipEdbXWFenTxYtCpKUpfYyOFqK4WOuK9Km5WYjsbKWPwcFCfPKJ1hWRXrnz/m0QwtHSX+SqhoYGhIWFwWQy8WJvL/Tpp8CUKcpvollZwHvvAYGBWlelP6dOKUdEKiuB1FRgzx7ldCe5p6ZGOUJXVKR8mqugAEhK0roq/WlpAWbMuH4EOT8fuP12rasivXHn/btfn4YjmjgReP99npLrrdGjlTd2npLrnWHDlKDJU3K9ExgIvPMOT8mR5zAsUb/HwCQHA5McDExyMDCRJzEskU9gYJKDgUkOBiY5GJjIUxiWyGcwMMnBwCQHA5McDEzkCQxL5FMYmORgYJKDgUkOBibqawxL5HMYmORgYJKDgUkOBibqSwxL5JMYmORgYJKDgUkOBibqKwxL5LMYmORgYJKDgUkOBibqCwxL5NMYmORgYJKDgUkOBiaSjWGJfB4DkxwMTHIwMMnBwEQy8XYnvcTbnfQfXW+N8pe/KDeTHT0aiIvTujr96HprlC1bgLo69tFdXW+Nsm0b0N7OPrqr661RNm8GwsPZR3Lv/ZthqZcYlvqXzoHJYsAA4JVXgEWLtKtLbzoHJgv20X2dA5MF++i+zoHJgn0khiUPYljqf/LygNmzbceMRqCsjL+JumPfPuDOO23H2Ef3HT0KjBljO8Y+uu/UKfubFrOPvo030iXqhbAw+7H2duD0ac/Xomdms/0Y++i+y5ftx9hH91VU2I+xj+QqhiWiLkaPVg7RdxUb6/la9MxZH8PDPV6Krjnro6Mxcs5ZH+vqPF8L6Q//uxF1ERenXMtgNNqO//zn/JScO5z1MSeHn5Jzh7M+zpvHT8m5w1kfc3P5KTnqHq9Z6iVes9R/VVQoh+jr64H777/+Kbn33lM+lkyusfTRaFTe4C2fktuzB4iM1Lo6/bD0cfBgJXBaPiVXUGB/LQ45Z+ljbCzwy19e/5Rcfj5w++1aV0eexAu8PYhhyTd0XVaAgalnui4rwMDUM12XFWBg6pmuywowMPkWXuBNJBkXrpSDC1fKwYUr5eDCleQqhiUiFzEwycHAJAcDkxwMTOQKhiUiNzAwycHAJAcDkxwMTNQdhiUiNzEwycHAJAcDkxwMTKSGYYmoBxiY5GBgkoOBSQ4GJnKGYYmohxiY5GBgkoOBSQ4GJnKEYYmoFxiY5GBgkoOBSQ4GJuqKYYmolxiY5GBgkoOBSQ4GJuqMYYlIAgYmORiY5GBgkoOBiSx0HZZMJhMWL16MhIQEDBo0CKNGjcLKlStx9erVbvfNz8+HwWBwuCUmJvZ98dTvMDDJwcAkBwOTHAxMBOg4LLW0tCA9PR3r1q3DtWvXcOedd+LSpUtYtWoV7rnnHnR0dKjuf/DgQQBAWloaZs6cabPdddddnngJ1A8xMMnBwCQHA5McDEwEoVMrV64UAERqaqpoaGgQQghx/vx5ERUVJQCIDRs2qO4/bdo0AUDs2rWrV3WYTCYBQJhMpl49D/Uv+/cLERwsBCBEVpYQzc1aV6RPJSVCxMQofUxNFaK6WuuK9OniRSHS0pQ+RkcLUVysdUX61NwsRHa20sfgYCE++UTriqg33Hn/1u2Rpc2bNwMAlixZgpCQEABATEwMFi1aBADYtGmT6v6HDh0CAEyYMKEPqyRfxSNMcvAIkxw8wiQHjzD5Ll2GpUuXLqG0tBQAkJWVZfNYRkYGAODw4cNO9z979ixqamoQFxeHLVu2IDk5GQEBAUhOTsYzzzwDs9ncd8WTz2BgkoOBSQ4GJjkYmHyTLsPShQsXrF/HxsbaPGb5vqmpCS1O3pks1ytVVFRgzZo1SExMxMiRI1FSUoInnngC8+fP76PKydcwMMnBwCQHA5McDEy+R5dhqb6+HgDg5+eHgQMH2jwWGhpqN6+r06dPIzY2FhkZGfjmm2/w/vvv4/jx49ZTdzt27EBhYaHDfdva2tDQ0GCzEalhYJKDgUkOBiY5GJh8iy7DUnh4OADAbDbbLRPQ2NhoN6+rZcuWoaKiAgUFBdbrnQAgNzcX48aNAwDs3r3b4b5r165FWFiYdYuPj+/FKyFfwcAkBwOTHAxMcjAw+Q5dhqWoqCjr15WVlTaPWb4PDg5GYGCg2889cuRIAMoaTo4sXboUJpPJupWXl7v9d5BvYmCSg4FJDgYmORiYfIMuw1JERASGDx8OACgoKLB5zHL6zHKEyJHMzExERUXh1VdftXusrKwMADBixAiH+/r7+yM0NNRmI3IVA5McDExyMDDJwcDU/+kyLAHKKTMAeOGFF9DU1AQAqK6uxvr16wEACxcutM5LSUlBSkqKdd+UlBRUV1fj+eefR21trXX8nXfeweeffw5/f3/MnTvXUy+FfAwDkxwMTHIwMMnBwNTPeWDdpz7R3Nws0tLSBAARHR0tpkyZIgYPHiwAiMmTJ4v29nYhhBAZGRkCgOj8Uuvq6kRKSooAIEJCQsSkSZPE97//fTFgwABhMBjEX/7yF5fr4KKU1FNcuFIOLlwpBxeulIMLV+qHTyxKGRgYiMLCQjz88MMYMGAACgoKEB4ejscffxzvvfceBgxw/tLCw8Nx4MABPPnkkxgxYgQOHTqEM2fOICsrCx988AEeeughD74S8lU8wiQHjzDJwSNMcvAIU/9kEEIIrYvQs4aGBoSFhcFkMvH6JeqRTz8FpkxRfrBmZQHvvaf8wCX3nDqlvMFXVgKpqcobf2Sk1lXpT02NEjiLioDoaCWIJiVpXZX+tLQAM2YAH32k/EKUnw/cfrvWVVFn7rx/Myz1EsMSydA5MN2W3orfbziBQYGO/2sODRyKhLAED1eoD50DU9K3r+Klt05iyFDHK/Kzj851DkyRUWa8vL0Y3xrZ5nAu++hc58AUFNyBdVtOYcwtzQ7nso+ex7DkQQxLJMunnwJ3TelAc9MAIHEP8JO7gYFX7OYF+AWg+JFi/mB14tQpID3DjOoqP2BYEbBwEhBcYzePfVRXUwOkZ15F8dcDgeBK4IFMYOgpu3nso7qWFuCuaa3YvzcAGNgI5EwFEj61m8c+ep4779+6vWaJqL+ZOBH409ZTyg/UsknAG+8BVwfZzWs1t6K2pdbBMxCgXMP08vZiIOQ8UJMGbNoDNA2zm8c+qhs2DHjprZNA5FdAUwywsQCoHW03j31UFxgIPPvaCWD4buBqCLAlHzg30W4e++jdGJaIvMj3xjcDOVO6DUykLmFEm3IkpJvAROoGR5iVI3PdBCZSNyhQAPNndBuYyHsxLBF5m4TPrgem+uHAlSFaV6RPEaevB6bGGKApWuuK9Cmo9npguhIB1CdqXZE+DbxiG5hqk7WuiNzgp3UBRORAwmfA/T8AQqqAsPNaV6NflsB0NRiIOqZ1NfplCUwX04DhBVpXo1+WwFSaDSS/p3U15AaGJSJvFf+51hX0DxGnta6gfwiqZVCSYeAVBiUd4mk4IiIiIhUMS0REREQqGJaIvMjQwKEI8AtQnRPgF4ChgUM9VJE+sY9ysI9ysI/6x0Upe4mLUpJs50znVNdb4Uq/rmEf5WAf5WAfvQ9X8PYghiUiIiL94QreRERERJIwLBERERGpYFgiIiIiUsGwRERERKSCYYmIiIhIBcMSERERkQqGJSIiIiIVDEtEREREKhiWiIiIiFQwLBERERGpYFgiIiIiUsGwRERERKSCYYmIiIhIBcMSERERkQqGJSIiIiIVug5LJpMJixcvRkJCAgYNGoRRo0Zh5cqVuHr1qkv7b9myBWPHjkVQUBCGDRuGOXPm4MSJE31cNREREemJbsNSS0sL0tPTsW7dOly7dg133nknLl26hFWrVuGee+5BR0eH6v6rV6/G/fffj2PHjmHChAkYOnQodu7cidtuuw3Hjx/30KsgIiIib6fbsPTcc8/hq6++QmpqKkpKSvD+++/j+PHjiIqKwgcffIDNmzc73ffMmTN48sknYTAYkJ+fjz179uDrr7/GwoULYTKZ8PDDD3vwlVBvtbcDBQXAm28qf7a3a12RPrGP8rCXcrCP5DWETg0fPlwAEK+99prN+BNPPCEAiMzMTKf7PvXUUwKASE9Ptxk/deqUACAAiNLSUpfqMJlMAoAwmUxuvwbqvbffFiIuTgjg+hYXp4yT69hHedhLOdhH6mvuvH/r8sjSpUuXUFpaCgDIysqyeSwjIwMAcPjwYaf7Hzp0yOG+o0aNQkxMDADgiy++kFYv9Y2dO4F77wUqKmzHz59Xxnfu1KYuvWEf5WEv5WAfydvoMixduHDB+nVsbKzNY5bvm5qa0NLSorp/1307j1VXV0uplfpGezuweLHy+2ZXlrFf/5qH7bvDPsrDXsrBPpI30mVYqq+vBwD4+flh4MCBNo+FhobazXO2f1BQkN1jlv2d7dvW1oaGhgabjTxv3z773zo7EwIoL1fmkXPsozzspRzsI3kjXYal8PBwAIDZbLZbJqCxsdFunrP9m5ub7R6z7O9s37Vr1yIsLMy6xcfHu1c8SVFVJXeer2If5WEv5WAfyRvpMixFRUVZv66srLR5zPJ9cHAwAgMDVffvum/nsRtvvNHhvkuXLoXJZLJu5eXl7r8A6rXoaLnzfBX7KA97KQf7SN5Il2EpIiICw4cPBwAUFBTYPFZYWAgAGDdunNP9x48f73Df0tJSVPz7+O/YsWMd7uvv74/Q0FCbjTwvPR2IiwMMBudzAgOBiRM9V5MeudJHf3/AyX8H6sSVXsbEKPPIOVf6GBXFPpJn6TIsAUBubi4A4IUXXkBTUxMA5aLs9evXAwAWLlxonZeSkoKUlBTrvgsWLIDRaERhYaFNYFqzZg0A5RN1iYmJHngV1FNGI/Dii8rXzn6otrQAixbxQlA1rvSxrQ2YOVPpJznnSi+NRuDSJc/VpEeu/ps8c8ZzNRHpdp2l5uZmkZaWJgCI6OhoMWXKFDF48GABQEyePFm0t7cLIYTIyMiwrp3U2apVqwQAccMNN4hJkyaJm266SQAQoaGhoqioyOU6uM6SthytxRIfL8RvfyuE0ah8n5MjhNmsdaXezVkf16wRIiRE+T4rS4jmZq0r9X6OehkVJcSQIcrXqalCVFdrXaX3c9THmBghEhKUr6OjhSgu1rpK0jN33r8NQjj6gKY+1NXVYfny5cjLy0NtbS1iYmIwf/58rFixAv7+/gCAzMxM7N27FwDQ9aVu3LgRL774IoqLixEYGIj09HSsXr0aqampLtfQ0NCAsLAwmEwmnpLTSHu78smYqirlOob0dOW307ffBu67T3k8JwfYuFEZJ8ec9fHTT4GpU4HGRiArC3jvPeUUJznnqJdnzwKZmUBlJZCaCuzZA0RGal2pd3PUx8uXgUmTgKIiZaygAEhK0rpS0iN33r91HZa8AcOSd2NgkoOBSY5TpxiYZKipYWCi3nPn/Vu31ywRuWLOHOCtt5SAtGUL8MADvIapJyZOBPLzgZAQ4OOPgbvv5jVMPTF6tPLGHhMDHD+uvOFfvKh1VfozbJgSNNPSlKNOmZlASYnWVVF/xrBE/R4DkxwMTHIwMMnBwESexLBEPoGBSQ4GJjkYmORgYCJPYVgin8HAJAcDkxwMTHIwMJEnMCyRT2FgkoOBSQ4GJjkYmKivMSyRz2FgkoOBSQ4GJjkYmKgvMSyRT2JgkoOBSQ4GJjkYmKivMCyRz2JgkoOBSQ4GJjkYmKgvMCyRT2NgkoOBSQ4GJjkYmEg2hiXyeQxMcjAwycHAJAcDE8nEsEQEx4Hpm2+UN/2KCq2r0w9HgenUKfbRXY4C05Ej7KO7HAWmwkL2kdzHe8P1Eu8N1790vpecxYABwCuvAIsWaVeX3nS+l5wF++i+zveSs2Af3df5XnIW7CPxRroexLDU/7zyCvDzn9uOGY1AWRkQF6dJSbqUlwfMnm07xj66b98+4M47bcfYR/cdPQqMGWM7xj76Nt5Il6gXRo+2H2tvB06f9nwtehYWZj/GPrrPbLYfYx/dd/my/Rj7SK5iWCLqYvRo5RB9ZwYDMHy4NvXolaM+AkBsrOdr0TNnfQwP93gpuuasj47GiLriPxOiLuLilFNxRuP1MSGAZcv4KTl3OOojoJzi5KfkXOesjzk5/JScO5z1cd48fkqOusdrlnqJ1yz1XxUVyiH6khLgV79SglJODrBxo/0PXHLO0sf6eiA3V7noOysLeO89IDBQ6+r0w9JHo1F5g6+sBFJTlU97RUZqXZ1+WPo4eLDy/7moCIiOVj59mJSkdXXkSbzA24MYlnxD50/JMTD1XOdPyTEw9VznT8kxMPVc50/JMTD5Hl7gTSQZF66UgwtXysGFK+XgwpXkKoYlIhcxMMnBwCQHA5McDEzkCoYlIjcwMMnBwCQHA5McDEzUHYYlIjcxMMnBwCQHA5McDEykhmGJqAcYmORgYJKDgUkOBiZyhmGJqIcYmORgYJKDgUkOBiZyhGGJqBcYmORgYJKDgUkOBibqimGJqJcYmORgYJKDgUkOBibqjGGJSAIGJjkYmORgYJKDgYksGJaIJGFgkoOBSQ4GJjkYmAjQeVg6cOAApkyZgiFDhiA0NBR33HEH/u///s/l/efNmweDweBwe/LJJ/uucOq3GJjkYGCSg4FJDgYm0u294T766CNMmzYNV69exc0334xBgwZh//79MBgM2LRpE+6///5un2PEiBEoLS3FtGnTcMMNN9g8Nm/ePMybN6/b5+C94cgR3ktODt5LTg7eS04O3kuuf3Hr/VvoUHt7uxgxYoQAIJYvX24df/311wUAERISIkwmk+pz1NTUCABiyJAhvarFZDIJAN3+feR7duwQwmgUAhAiJ0cIs1nrivRp/34hQkKUPmZlCdHcrHVF+lRSIkRMjNLH1FQhqqu1rkifLl4UIi1N6WN0tBDFxVpXRD3lzvu3Lk/DffLJJzh79iz8/f3x2GOPWcd/+tOfIi4uDo2Njfj73/+u+hyff/45AOCWW27p01rJd/GUnBw8JScHT8nJwVNyvkmXYenQoUMAgAkTJiCwyzH5O++8EwBw+PBh1eewhKW4uDjMnz8fkZGRCAkJQXZ2Nj7++OM+qJp8EQOTHAxMcjAwycHA5Ht0GZYuXLgAAIiNjbV7zDJWXV2t+hwHDx4EAKxfvx7Hjh3D9773PQQEBGDPnj2YPHkydu3a5XC/trY2NDQ02GxEahiY5GBgkoOBSQ4GJt+iy7BUX18PAAgKCrJ7zHKRlmWOM1VVVYiNjcXatWtx/PhxfPjhh/jmm28wffp0dHR0YMmSJQ73W7t2LcLCwqxbfHx8r14L+QYGJjkYmORgYJKDgcl3eE1Yam5uhp+fX7dbdnY2wsPDrft01djYCADWOc4cPXoUFRUVNtc8BQYG4tlnnwUAnD17FmfPnrXbb+nSpTCZTNatvLy8h6+YfA0DkxwMTHIwMMnBwOQbvCYsCSHQ3t7u0hYVFQUAqKystHsey9iNN97YozpGjhxp/dpkMtk97u/vj9DQUJuNyFUMTHIwMMnBwCQHA1P/5zVhKTg4GEKIbreCggKMHz8egHKRdmtrq83zFBYWAgDGjRvn9O86evQooqKiEBMTY3e6rqysDAAwYMAAJCYmSnt9RBYMTHIwMMnBwCQHA1P/5jVhyR133HEHRowYgdbWVjz33HPW8b/+9a84d+4cQkJCMHv2bADA+fPnkZKSgpSUFCxduhQAkJycjLa2NlRVVWH16tUQ/16X02w2W1funjZtGgYPHuzZF0Y+g4FJDgYmORiY5GBg6sf6arGnvrZ7925xww03CABi3Lhx4o477hAGg0EYDAaxadMm67zS0lIBQAAQCxcutI6/9957wmg0CgBixIgR4gc/+IGIjY0VAERMTIwoLS11qQ4uSkm9wYUr5eDClXJw4Uo5uHClPvT7RSkBWNdDmjx5Mk6dOoUjR47g1ltvxa5du5Cbm9vt/tOnT8fhw4dx3333QQhhPX33i1/8Al988QVPwZFH8AiTHDzCJAePMMnBI0z9j27vDecteG84kqHzveRm/7gZS/9Q7PReckMDhyIhLMGzBepE53vJ3Zbeit9vOIFBgY5/xLGPznW+l1zSt6/ipbdOYshQs8O57KNzne8lFxllxsvbi/GtkW0O57KPnufO+zfDUi8xLJEsSmASaG83AN/9KzDrAWBAh928AL8AFD9SzB+sTnz6KTBlageaGgcAiXuAn9wNDLxiN499VHfqFJCeYUZ1lR8wrAhYOAkIrrGbxz6qq6kB0jOvovjrgUBwJfBAJjD0lN089tHz3Hn/1u1pOKL+Zs4cYO3LpYDBDBy7H8jbCHTY/xdtNbeitqXW8wXqxMSJwLotp4CBDUDZJOCN94Crg+zmsY/qRo8GXt5eDIScB2rSgE17gKZhdvPYR3XDhgEvvXUSiPwKaIoBNhYAtaPt5rGP3o1hiciLZE+vB+be121gInXfG98M5EztNjCRuoQRbcqRkG4CE6kbHGFWjsx1E5jIe/GnMJG3uWnn9cBUMh2oT9S6In1K+Ox6YCq/Hbjwfa0r0qeI07aBqSxL64r0KajWNjCdnK11ReQGP60LICIHbtoJ/HguEPYNMMT+tjvkIktgagsDEj7Vuhr9sgSmiluBtL9pXY1+WQJT0Tzglv9P62rIDQxLRN7q23laV9A/JHymdQX9Q8RpZaPeCaoFJjAo6Q1PwxERERGpYFgiIiIiUsGwRORFhgYORYBfgOqcAL8ADA0c6qGK9Il9lIN9lIN91D8uStlLXJSSZDtnOqe63gpX+nUN+ygH+ygH++h9uIK3BzEsERER6Q9X8CYiIiKShGGJiIiISAXDEhEREZEKhiUiIiIiFQxLRERERCoYloiIiIhUMCwRERERqWBYIiIiIlLBsERERESkgmGJiIiISAXDEhEREZEKhiUiIiIiFQxLRERERCoYloiIiIhUMCwRERERqWBYIiIiIlLRL8LSokWLYDAYsHHjRrf2M5lMWLx4MRISEjBo0CCMGjUKK1euxNWrV/umUCIiItId3Yal+vp6FBYWYv78+Xj99dfd3r+lpQXp6elYt24drl27hjvvvBOXLl3CqlWrcM8996Cjo6MPqiYiIiK98dO6gJ7Iy8vD7Nmze/Uczz33HL766iukpqbis88+Q0hICCorKzF27Fh88MEH2Lx5Mx544AE5BRMREZFu6fLIUnR0NGbOnGndemLz5s0AgCVLliAkJAQAEBMTg0WLFgEANm3aJKdYIiIi0jVdHlmaMGEC8vLyrN8bDAa39r906RJKS0sBAFlZWTaPZWRkYM2aNTh8+HCv6yQiIiL902VY6q0LFy5Yv46NjbV5zPJ9U1MTWlpaEBgYaPN4W1sb2trarN+bTCYAQENDQ1+VS0RERJJZ3reFEN3O9cmwVF9fDwDw8/PDwIEDbR4LDQ21mdc1LK1duxZPPfWU3XPGx8fLL5SIiIj6VGNjI8LCwlTneE1Yam5u7rZYQDlN9tFHH/Xq7woPDwcAmM1mXL161SYwNTY22s3rbOnSpViyZIn1+46ODly+fBkRERFunw4ElGQbHx+P8vJym6BG7mEf5WAf5WEv5WAf5WAf7Qkh0NjYiJiYmG7nek1YEkKgvb2923muzOlOVFSU9evKykokJibafA8AwcHBdkeVAMDf3x/+/v42Y45ClbtCQ0P5D1gC9lEO9lEe9lIO9lEO9tGWKwdpAC/6NFxwcDCEEN1uBQUFvf67IiIiMHz4cACwe77CwkIAwLhx43r99xAREZH+eU1Y6ivnz59HSkoKUlJSsHTpUut4bm4uAOCFF15AU1MTAKC6uhrr168HACxcuNDzxRIREZHX8ZrTcH3l2rVrKC4uBgBUVVVZxx999FG8/fbb+Oqrr5CUlITvfve7OHjwIOrq6jB58mRrmOpr/v7+WLlypd2pPXIP+ygH+ygPeykH+ygH+9g7BuHKZ+a8nOXC6g0bNtitul1WVmY95bZw4UKb+8fV1dVh+fLlyMvLQ21tLWJiYjB//nysWLGC/6CIiIgIQD8JS0RERER9pd9fs0RERETUGwxLRERERCoYlrzUokWLYDAYbK6xIsdMJhMWL16MhIQEDBo0CKNGjcLKlStx9epVrUvTnX379sFgMCAzM1PrUnSrubkZy5cvR1JSEvz9/REREYFZs2bhyy+/1Lo0XSkrK8OCBQsQGRmJgIAAJCUlYfHixTh37pzWpenWiRMnEBQUxPeWHmBY8iL19fUoLCzE/Pnz8frrr2tdji60tLQgPT0d69atw7Vr13DnnXfi0qVLWLVqFe655x50dHRoXaLXa21tRUlJCX7/+99j+vTpWpeja62trZg0aRJWr14Nk8mE7OxsREREYNeuXZg4cSI++eQTrUvUhePHjyMtLQ1vvPEGgoKCkJGRgcbGRqxbtw4TJkxASUmJ1iXqTmtrK+677z60tLRoXYo+CfIKf//73wUAu23Dhg1al+bVVq5cKQCI1NRU0dDQIIQQ4vz58yIqKor9c1FYWJjdv7uMjAyty9Kl1atXCwAiOTlZXLp0SQghhNlsFgsWLBAAxC233KJxhfpw6623CgAiJydHmM1mIYQQra2t4rbbbhMAxKJFizSuUH9+/vOfC4PBIIYOHcqfjT3AI0teIjo6GjNnzrRu5JrNmzcDAJYsWYKQkBAAQExMDBYtWgQA2LRpk2a16cX06dOt/+54Q+je2bZtGwDgkUcewZAhQwAARqMRv/nNbwAAX3zxBdra2jSrTw+am5tRVFSEoKAgPProozAajQCUdYImTJgAwPYentS97du34y9/+Qt++9vfIjU1VetydKnfL0qpFxMmTEBeXp71+57clNfXXLp0CaWlpQCArKwsm8cyMjKwZs0aHD58WIvSdGXr1q3Wrx944AEGzF64cOECgoKCkJaWZjNuCUgdHR0wm81cx01FUFCQTRjq6OhATU0N3nvvPaxfvx4GgwH333+/hhXqS2lpKf7jP/4DY8aMwerVq3HXXXdpXZIuMSyRbl24cMH6dWxsrM1jlu+bmprQ0tLi8KbIRLLV1NTYjZnNZjz11FMAgEmTJiEoKMjTZenaihUrsGbNGgDK0aWtW7fi7rvv1rgqfbh27RrmzZuHq1evYuvWrRg4cKDWJekWT8ORbtXX1wMA/Pz87H4IdL6rtmUekafV1dVh7ty5yM/PR0hICF588UWtS9KdlJQUZGVlITw8HG1tbXjwwQfx4Ycfal2WLixduhQHDx7E73//e9x0001al6NrDEt9qLm5GX5+ft1u2dnZWpeqS+Hh4QCU39y7LhPQ+TC+ZR6RJ+Xl5SEtLQ15eXmIjIxEfn4+rxfpgZycHOzZswe1tbV46KGH0NLSgkWLFsFsNmtdmlfLz8/HCy+8gB/+8Id4+OGHtS5H9xiW+pAQAu3t7S5t5L6oqCjr15WVlTaPWb4PDg7mKTjyqObmZixYsACzZ89GZWUlZs6ciaNHj2LixIlal6YLx44dw7Jly/D888/bjBuNRjz77LMAgPLycpw5c0aL8nQjPz8fQgg0NDRg1qxZ1q2oqAgAsG7dOsyaNQsXL17UuFJ94DVLfSg4OBiCt97rMxERERg+fDhKS0tRUFBgcxPlwsJCAMC4ceM0qo580ZUrVzB58mQcOHAAkZGR+POf/4w5c+ZoXZauXLx4EWvWrMHAgQPxq1/9yuaXnc5rBPFnq2v279/vcPzLL7/El19+iT/+8Y+eLUineGSJdC03NxcA8MILL6CpqQkAUF1djfXr1wMAFi5cqFlt5Hsee+wxHDhwAAkJCTh8+DCDUg9MnDgRgwcPxtWrV/H4449bQ9G1a9ewbNkyAMDIkSORnJysZZle749//COEEHZbRkYGAGDDhg0QQiAxMVHbQnWCR5ZI1x599FG8/fbb+Oqrr5CUlITvfve7OHjwIOrq6jB58mRrmCLqa83NzXj11VcBAAEBAfjP//xPh/M2btzI6+hUBAYGYt26dcjNzcWLL76Id999FyNHjsTx48dRWVmJkJAQbN68mcurkEcxLJGuBQYGorCwEMuXL0deXh4KCgoQExODX/7yl1ixYgUGDODBU/KM06dP48qVKwCAkpISp7fkaG1t9WRZupSTk4OYmBg899xzOHjwID7++GNER0fjkUceweOPP47o6GitSyQfYxA88UtERETkFH/tJiIiIlLBsERERESkgmGJiIiISAXDEhEREZEKhiUiIiIiFQxLRERERCoYloiIiIhUMCwRERERqWBYIiIiIlLBsERERESkgmGJiIiISAXDEhHRv3388ccwGo0wGAz485//bB2vra1FTEwMDAYDfv3rX2tXIBFpgjfSJSLqZMWKFXj66acRFBSEI0eOYNSoUZgxYwbeffdd3Hzzzfjss88wcOBArcskIg9iWCIi6qS9vR2TJk1CYWEhbr/9dtx33334f//v/yEkJAT/+te/MGrUKK1LJCIPY1giIuqioqICY8aMwaVLl2AwGCCEwJtvvol58+ZpXRoRaYDXLBERdREXF4c//elPAAAhBKZNm8agROTDGJaIiBzYsWOH9es9e/agqKhIw2qISEsMS0REXbzyyivYuXMnBg8ejMzMTLS2tuInP/kJWltbtS6NiDTAsERE1MnJkyfxX//1XwCAdevW4Y033kBERAS++uor/O53v9O4OiLSAi/wJiL6t7a2Ntx66604cuQIZsyYgV27dgEAtm/fjh//+McAgH/+85/44Q9/qGWZRORhPLJERPRvv/vd73DkyBEMGTIEf/nLX6zjc+fOxYIFCwAADzzwAKqrq7UqkYg0wCNLRERERCp4ZImIiIhIBcMSERERkQqGJSIiIiIVDEtEREREKhiWiIiIiFQwLBERERGpYFgiIiIiUsGwRERERKSCYYmIiIhIBcMSERERkQqGJSIiIiIVDEtEREREKhiWiIiIiFT8/+Y9sKIZyNBzAAAAAElFTkSuQmCC
+"/>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>Alternatively, we can use <code>link_df()</code>:</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [10]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">pred</span> <span class="o">=</span> <span class="n">trackpy</span><span class="o">.</span><span class="n">predict</span><span class="o">.</span><span class="n">NearestVelocityPredict</span><span class="p">()</span>
+<span class="n">tr</span> <span class="o">=</span> <span class="n">pred</span><span class="o">.</span><span class="n">link_df</span><span class="p">(</span><span class="n">pandas</span><span class="o">.</span><span class="n">concat</span><span class="p">(</span><span class="n">frames</span><span class="p">),</span> <span class="mf">0.5</span><span class="p">)</span>
+<span class="n">trshow</span><span class="p">(</span><span class="n">tr</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>Drawing multicolor lines takes awhile. Come back in a minute.
+</pre>
+</div>
+</div>
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedImage jp-OutputArea-output" tabindex="0">
+<img alt="No description has been provided for this image" class="" 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
+"/>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>We'll use <code>link_df_iter()</code> for the remaining examples, but <code>link_df()</code> is always available as well.</p>
+<p>(<em>Note:</em> Unlike <code>link_df_iter()</code>, this <code>link_df()</code> is usually — but not always — a drop-in replacment for <code>trackpy.link_df()</code>. Consult the documentation or source code for details.)</p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h3 id="Channel-flow-prediction">Channel flow prediction<a class="anchor-link" href="#Channel-flow-prediction">¶</a></h3><p>There is one special case that is common enough to deserve a special $P$: channel flow, in which velocities are relatively uniform in one direction. For example, if the channel is in the $x$ (i.e. $\hat i$) direction, particle velocities are very well approximated as</p>
+$$\vec v = \hat i v_x(y)$$<p>where the velocity profile $v_x(y)$ is a smoothly-varying function defined across the channel.</p>
+<p>This is implemented by the <a href="https://github.com/soft-matter/trackpy/blob/e468027d7bb6e96cbb9f2048530cbc6e8c7172d8/trackpy/predict.py#L228-L328"><code>trackpy.predict.ChannelPredict</code></a> class. When creating an instance, you must specify the size of the bins used to create the velocity profile. You can also specify the direction of flow; see the class's docstring for details.</p>
+<p>Let's create some particles undergoing accelerating shear.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [11]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">fakeshear</span><span class="p">(</span><span class="n">t</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">Nside</span><span class="o">=</span><span class="mi">4</span><span class="p">):</span>
+    <span class="n">xg</span><span class="p">,</span> <span class="n">yg</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mgrid</span><span class="p">[:</span><span class="n">Nside</span><span class="p">,:</span><span class="n">Nside</span><span class="p">]</span>
+    <span class="n">dx</span> <span class="o">=</span> <span class="mf">0.45</span> <span class="o">*</span> <span class="n">t</span> <span class="o">*</span> <span class="n">yg</span>
+    <span class="k">return</span> <span class="n">pandas</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span>
+            <span class="nb">dict</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="p">(</span><span class="n">xg</span> <span class="o">+</span> <span class="n">dx</span><span class="p">)</span><span class="o">.</span><span class="n">flatten</span><span class="p">(),</span> <span class="n">y</span><span class="o">=</span><span class="n">yg</span><span class="o">.</span><span class="n">flatten</span><span class="p">(),</span> <span class="n">frame</span><span class="o">=</span><span class="n">t</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>When we attempt to track them, the algorithm fails for the top row of particles.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [12]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">frames</span> <span class="o">=</span> <span class="p">(</span><span class="n">fakeshear</span><span class="p">(</span><span class="mi">0</span><span class="p">),</span> <span class="n">fakeshear</span><span class="p">(</span><span class="mf">0.25</span><span class="p">),</span> <span class="n">fakeshear</span><span class="p">(</span><span class="mf">0.65</span><span class="p">))</span>
+<span class="n">tr</span> <span class="o">=</span> <span class="n">pandas</span><span class="o">.</span><span class="n">concat</span><span class="p">(</span><span class="n">trackpy</span><span class="o">.</span><span class="n">link_df_iter</span><span class="p">(</span><span class="n">frames</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">))</span>
+<span class="n">trshow</span><span class="p">(</span><span class="n">tr</span><span class="p">)</span>
+<span class="n">ylim</span><span class="p">(</span><span class="n">ymax</span><span class="o">=</span><span class="mf">3.5</span><span class="p">);</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>Drawing multicolor lines takes awhile. Come back in a minute.
+</pre>
+</div>
+</div>
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedImage jp-OutputArea-output" tabindex="0">
+<img alt="No description has been provided for this image" class="" 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
+"/>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>Now, let's try it with prediction:</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [13]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">pred</span> <span class="o">=</span> <span class="n">trackpy</span><span class="o">.</span><span class="n">predict</span><span class="o">.</span><span class="n">ChannelPredict</span><span class="p">(</span><span class="mf">0.5</span><span class="p">,</span> <span class="s1">'x'</span><span class="p">,</span> <span class="n">minsamples</span><span class="o">=</span><span class="mi">3</span><span class="p">)</span>
+<span class="n">tr</span> <span class="o">=</span> <span class="n">pandas</span><span class="o">.</span><span class="n">concat</span><span class="p">(</span><span class="n">pred</span><span class="o">.</span><span class="n">link_df_iter</span><span class="p">(</span><span class="n">frames</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">))</span>
+<span class="n">trshow</span><span class="p">(</span><span class="n">tr</span><span class="p">)</span>
+<span class="n">ylim</span><span class="p">(</span><span class="n">ymax</span><span class="o">=</span><span class="mf">3.5</span><span class="p">);</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>Drawing multicolor lines takes awhile. Come back in a minute.
+</pre>
+</div>
+</div>
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedImage jp-OutputArea-output" tabindex="0">
+<img alt="No description has been provided for this image" class="" 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
+"/>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
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+<p>Much better!</p>
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+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
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+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h3 id="Drift-prediction">Drift prediction<a class="anchor-link" href="#Drift-prediction">¶</a></h3><p>Finally, the most symmetric prediction class in <code>trackpy.predict</code> is <a href="https://github.com/soft-matter/trackpy/blob/e468027d7bb6e96cbb9f2048530cbc6e8c7172d8/trackpy/predict.py#L199-L225"><code>DriftPredict</code></a>. This just makes predictions based on the average velocity of all particles. It is useful when you have some background convective flow. Note that this does <em>not</em> remove the flow from your results; to do that, use <code>trackpy.compute_drift</code> and <code>trackpy.subtract_drift</code>, as in the walkthrough tutorial.</p>
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+  </head><body>
+
+  <div id="navbar" class="navbar navbar-default navbar-fixed-top">
+    <div class="container">
+      <div class="navbar-header">
+        <!-- .btn-navbar is used as the toggle for collapsed navbar content -->
+        <button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".nav-collapse">
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+          <span class="icon-bar"></span>
+        </button>
+        <a class="navbar-brand" href="../index.html">
+          trackpy</a>
+        <span class="navbar-text navbar-version pull-left"><b>0.6.2</b></span>
+      </div>
+
+        <div class="collapse navbar-collapse nav-collapse">
+          <ul class="nav navbar-nav">
+            
+                <li><a href="../tutorial.html">Tutorial</a></li>
+            
+            
+              <li class="dropdown globaltoc-container">
+  <a role="button"
+     id="dLabelGlobalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="../index.html">Site <b class="caret"></b></a>
+  <ul class="dropdown-menu globaltoc"
+      role="menu"
+      aria-labelledby="dLabelGlobalToc"><ul>
+<li class="toctree-l1"><a class="reference internal" href="../introduction.html">Introduction to Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installing Trackpy</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tracking-3d.html">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1 current"><a class="current reference internal" href="#">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
+</li>
+              
+                <li class="dropdown">
+  <a role="button"
+     id="dLabelLocalToc"
+     data-toggle="dropdown"
+     data-target="#"
+     href="#">Page <b class="caret"></b></a>
+  <ul class="dropdown-menu localtoc"
+      role="menu"
+      aria-labelledby="dLabelLocalToc"><ul>
+<li><a class="reference internal" href="#">subnets</a></li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="../search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
+</form>
+          
+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="subnets">
+<h1>subnets<a class="headerlink" href="#subnets" title="Permalink to this heading">¶</a></h1>
+<!DOCTYPE html>
+
+<html lang="en">
+<head><meta charset="utf-8"/>
+<meta content="width=device-width, initial-scale=1.0" name="viewport"/>
+<title>subnets</title><script src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.1.10/require.min.js"></script>
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+
+
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+<style type="text/css">
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+| Copyright (c) 2014-2017, PhosphorJS Contributors
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+
+.lm-SplitPanel-handle:after {
+  position: absolute;
+  top: 0;
+  left: 0;
+  width: 100%;
+  height: 100%;
+  content: '';
+}
+
+.lm-SplitPanel[data-orientation='horizontal'] > .lm-SplitPanel-handle {
+  cursor: ew-resize;
+}
+
+.lm-SplitPanel[data-orientation='vertical'] > .lm-SplitPanel-handle {
+  cursor: ns-resize;
+}
+
+.lm-SplitPanel[data-orientation='horizontal'] > .lm-SplitPanel-handle:after {
+  left: 50%;
+  min-width: 8px;
+  transform: translateX(-50%);
+}
+
+.lm-SplitPanel[data-orientation='vertical'] > .lm-SplitPanel-handle:after {
+  top: 50%;
+  min-height: 8px;
+  transform: translateY(-50%);
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-TabBar {
+  display: flex;
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.lm-TabBar[data-orientation='horizontal'] {
+  flex-direction: row;
+  align-items: flex-end;
+}
+
+.lm-TabBar[data-orientation='vertical'] {
+  flex-direction: column;
+  align-items: flex-end;
+}
+
+.lm-TabBar-content {
+  margin: 0;
+  padding: 0;
+  display: flex;
+  flex: 1 1 auto;
+  list-style-type: none;
+}
+
+.lm-TabBar[data-orientation='horizontal'] > .lm-TabBar-content {
+  flex-direction: row;
+}
+
+.lm-TabBar[data-orientation='vertical'] > .lm-TabBar-content {
+  flex-direction: column;
+}
+
+.lm-TabBar-tab {
+  display: flex;
+  flex-direction: row;
+  box-sizing: border-box;
+  overflow: hidden;
+  touch-action: none; /* Disable native Drag/Drop */
+}
+
+.lm-TabBar-tabIcon,
+.lm-TabBar-tabCloseIcon {
+  flex: 0 0 auto;
+}
+
+.lm-TabBar-tabLabel {
+  flex: 1 1 auto;
+  overflow: hidden;
+  white-space: nowrap;
+}
+
+.lm-TabBar-tabInput {
+  user-select: all;
+  width: 100%;
+  box-sizing: border-box;
+}
+
+.lm-TabBar-tab.lm-mod-hidden {
+  display: none !important;
+}
+
+.lm-TabBar-addButton.lm-mod-hidden {
+  display: none !important;
+}
+
+.lm-TabBar.lm-mod-dragging .lm-TabBar-tab {
+  position: relative;
+}
+
+.lm-TabBar.lm-mod-dragging[data-orientation='horizontal'] .lm-TabBar-tab {
+  left: 0;
+  transition: left 150ms ease;
+}
+
+.lm-TabBar.lm-mod-dragging[data-orientation='vertical'] .lm-TabBar-tab {
+  top: 0;
+  transition: top 150ms ease;
+}
+
+.lm-TabBar.lm-mod-dragging .lm-TabBar-tab.lm-mod-dragging {
+  transition: none;
+}
+
+.lm-TabBar-tabLabel .lm-TabBar-tabInput {
+  user-select: all;
+  width: 100%;
+  box-sizing: border-box;
+  background: inherit;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-TabPanel-tabBar {
+  z-index: 1;
+}
+
+.lm-TabPanel-stackedPanel {
+  z-index: 0;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Collapse {
+  display: flex;
+  flex-direction: column;
+  align-items: stretch;
+}
+
+.jp-Collapse-header {
+  padding: 1px 12px;
+  background-color: var(--jp-layout-color1);
+  border-bottom: solid var(--jp-border-width) var(--jp-border-color2);
+  color: var(--jp-ui-font-color1);
+  cursor: pointer;
+  display: flex;
+  align-items: center;
+  font-size: var(--jp-ui-font-size0);
+  font-weight: 600;
+  text-transform: uppercase;
+  user-select: none;
+}
+
+.jp-Collapser-icon {
+  height: 16px;
+}
+
+.jp-Collapse-header-collapsed .jp-Collapser-icon {
+  transform: rotate(-90deg);
+  margin: auto 0;
+}
+
+.jp-Collapser-title {
+  line-height: 25px;
+}
+
+.jp-Collapse-contents {
+  padding: 0 12px;
+  background-color: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  overflow: auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/* This file was auto-generated by ensureUiComponents() in @jupyterlab/buildutils */
+
+/**
+ * (DEPRECATED) Support for consuming icons as CSS background images
+ */
+
+/* Icons urls */
+
+:root {
+  --jp-icon-add-above: url(data:image/svg+xml;base64,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);
+  --jp-icon-add-below: url(data:image/svg+xml;base64,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);
+  --jp-icon-add: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE5IDEzaC02djZoLTJ2LTZINXYtMmg2VjVoMnY2aDZ2MnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-bell: url(data:image/svg+xml;base64,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);
+  --jp-icon-bug-dot: url(data:image/svg+xml;base64,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);
+  --jp-icon-bug: url(data:image/svg+xml;base64,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);
+  --jp-icon-build: url(data:image/svg+xml;base64,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);
+  --jp-icon-caret-down-empty-thin: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwIDIwIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwb2x5Z29uIGNsYXNzPSJzdDEiIHBvaW50cz0iOS45LDEzLjYgMy42LDcuNCA0LjQsNi42IDkuOSwxMi4yIDE1LjQsNi43IDE2LjEsNy40ICIvPgoJPC9nPgo8L3N2Zz4K);
+  --jp-icon-caret-down-empty: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik01LjIsNS45TDksOS43bDMuOC0zLjhsMS4yLDEuMmwtNC45LDVsLTQuOS01TDUuMiw1Ljl6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-caret-down: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik01LjIsNy41TDksMTEuMmwzLjgtMy44SDUuMnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-caret-left: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwYXRoIGQ9Ik0xMC44LDEyLjhMNy4xLDlsMy44LTMuOGwwLDcuNkgxMC44eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-caret-right: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik03LjIsNS4yTDEwLjksOWwtMy44LDMuOFY1LjJINy4yeiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-caret-up-empty-thin: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwIDIwIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwb2x5Z29uIGNsYXNzPSJzdDEiIHBvaW50cz0iMTUuNCwxMy4zIDkuOSw3LjcgNC40LDEzLjIgMy42LDEyLjUgOS45LDYuMyAxNi4xLDEyLjYgIi8+Cgk8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-caret-up: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwYXRoIGQ9Ik01LjIsMTAuNUw5LDYuOGwzLjgsMy44SDUuMnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-case-sensitive: url(data:image/svg+xml;base64,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);
+  --jp-icon-check: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIj4KICAgIDxwYXRoIGQ9Ik05IDE2LjE3TDQuODMgMTJsLTEuNDIgMS40MUw5IDE5IDIxIDdsLTEuNDEtMS40MXoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-circle-empty: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyIDJDNi40NyAyIDIgNi40NyAyIDEyczQuNDcgMTAgMTAgMTAgMTAtNC40NyAxMC0xMFMxNy41MyAyIDEyIDJ6bTAgMThjLTQuNDEgMC04LTMuNTktOC04czMuNTktOCA4LTggOCAzLjU5IDggOC0zLjU5IDgtOCA4eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-circle: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMTggMTgiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPGNpcmNsZSBjeD0iOSIgY3k9IjkiIHI9IjgiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-clear: url(data:image/svg+xml;base64,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);
+  --jp-icon-close: url(data:image/svg+xml;base64,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);
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+  --jp-icon-file-upload: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTkgMTZoNnYtNmg0bC03LTctNyA3aDR6bS00IDJoMTR2Mkg1eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-file: url(data:image/svg+xml;base64,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);
+  --jp-icon-filter-dot: url(data:image/svg+xml;base64,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);
+  --jp-icon-filter-list: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEwIDE4aDR2LTJoLTR2MnpNMyA2djJoMThWNkgzem0zIDdoMTJ2LTJINnYyeiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-filter: url(data:image/svg+xml;base64,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);
+  --jp-icon-folder-favorite: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIGhlaWdodD0iMjRweCIgdmlld0JveD0iMCAwIDI0IDI0IiB3aWR0aD0iMjRweCIgZmlsbD0iIzAwMDAwMCI+CiAgPHBhdGggZD0iTTAgMGgyNHYyNEgwVjB6IiBmaWxsPSJub25lIi8+PHBhdGggY2xhc3M9ImpwLWljb24zIGpwLWljb24tc2VsZWN0YWJsZSIgZmlsbD0iIzYxNjE2MSIgZD0iTTIwIDZoLThsLTItMkg0Yy0xLjEgMC0yIC45LTIgMnYxMmMwIDEuMS45IDIgMiAyaDE2YzEuMSAwIDItLjkgMi0yVjhjMC0xLjEtLjktMi0yLTJ6bS0yLjA2IDExTDE1IDE1LjI4IDEyLjA2IDE3bC43OC0zLjMzLTIuNTktMi4yNCAzLjQxLS4yOUwxNSA4bDEuMzQgMy4xNCAzLjQxLjI5LTIuNTkgMi4yNC43OCAzLjMzeiIvPgo8L3N2Zz4K);
+  --jp-icon-folder: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMTAgNEg0Yy0xLjEgMC0xLjk5LjktMS45OSAyTDIgMThjMCAxLjEuOSAyIDIgMmgxNmMxLjEgMCAyLS45IDItMlY4YzAtMS4xLS45LTItMi0yaC04bC0yLTJ6Ii8+Cjwvc3ZnPgo=);
+  --jp-icon-home: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIGhlaWdodD0iMjRweCIgdmlld0JveD0iMCAwIDI0IDI0IiB3aWR0aD0iMjRweCIgZmlsbD0iIzAwMDAwMCI+CiAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPjxwYXRoIGNsYXNzPSJqcC1pY29uMyBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xMCAyMHYtNmg0djZoNXYtOGgzTDEyIDMgMiAxMmgzdjh6Ii8+Cjwvc3ZnPgo=);
+  --jp-icon-html5: url(data:image/svg+xml;base64,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);
+  --jp-icon-image: url(data:image/svg+xml;base64,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);
+  --jp-icon-info: url(data:image/svg+xml;base64,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);
+  --jp-icon-inspector: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaW5zcGVjdG9yLWljb24tY29sb3IganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMjAgNEg0Yy0xLjEgMC0xLjk5LjktMS45OSAyTDIgMThjMCAxLjEuOSAyIDIgMmgxNmMxLjEgMCAyLS45IDItMlY2YzAtMS4xLS45LTItMi0yem0tNSAxNEg0di00aDExdjR6bTAtNUg0VjloMTF2NHptNSA1aC00VjloNHY5eiIvPgo8L3N2Zz4K);
+  --jp-icon-json: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtanNvbi1pY29uLWNvbG9yIGpwLWljb24tc2VsZWN0YWJsZSIgZmlsbD0iI0Y5QTgyNSI+CiAgICA8cGF0aCBkPSJNMjAuMiAxMS44Yy0xLjYgMC0xLjcuNS0xLjcgMSAwIC40LjEuOS4xIDEuMy4xLjUuMS45LjEgMS4zIDAgMS43LTEuNCAyLjMtMy41IDIuM2gtLjl2LTEuOWguNWMxLjEgMCAxLjQgMCAxLjQtLjggMC0uMyAwLS42LS4xLTEgMC0uNC0uMS0uOC0uMS0xLjIgMC0xLjMgMC0xLjggMS4zLTItMS4zLS4yLTEuMy0uNy0xLjMtMiAwLS40LjEtLjguMS0xLjIuMS0uNC4xLS43LjEtMSAwLS44LS40LS43LTEuNC0uOGgtLjVWNC4xaC45YzIuMiAwIDMuNS43IDMuNSAyLjMgMCAuNC0uMS45LS4xIDEuMy0uMS41LS4xLjktLjEgMS4zIDAgLjUuMiAxIDEuNyAxdjEuOHpNMS44IDEwLjFjMS42IDAgMS43LS41IDEuNy0xIDAtLjQtLjEtLjktLjEtMS4zLS4xLS41LS4xLS45LS4xLTEuMyAwLTEuNiAxLjQtMi4zIDMuNS0yLjNoLjl2MS45aC0uNWMtMSAwLTEuNCAwLTEuNC44IDAgLjMgMCAuNi4xIDEgMCAuMi4xLjYuMSAxIDAgMS4zIDAgMS44LTEuMyAyQzYgMTEuMiA2IDExLjcgNiAxM2MwIC40LS4xLjgtLjEgMS4yLS4xLjMtLjEuNy0uMSAxIDAgLjguMy44IDEuNC44aC41djEuOWgtLjljLTIuMSAwLTMuNS0uNi0zLjUtMi4zIDAtLjQuMS0uOS4xLTEuMy4xLS41LjEtLjkuMS0xLjMgMC0uNS0uMi0xLTEuNy0xdi0xLjl6Ii8+CiAgICA8Y2lyY2xlIGN4PSIxMSIgY3k9IjEzLjgiIHI9IjIuMSIvPgogICAgPGNpcmNsZSBjeD0iMTEiIGN5PSI4LjIiIHI9IjIuMSIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-julia: url(data:image/svg+xml;base64,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);
+  --jp-icon-jupyter-favicon: url(data:image/svg+xml;base64,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);
+  --jp-icon-jupyter: url(data:image/svg+xml;base64,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);
+  --jp-icon-jupyterlab-wordmark: 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+  --jp-icon-kernel: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGNsYXNzPSJqcC1pY29uMiIgZmlsbD0iIzYxNjE2MSIgZD0iTTE1IDlIOXY2aDZWOXptLTIgNGgtMnYtMmgydjJ6bTgtMlY5aC0yVjdjMC0xLjEtLjktMi0yLTJoLTJWM2gtMnYyaC0yVjNIOXYySDdjLTEuMSAwLTIgLjktMiAydjJIM3YyaDJ2MkgzdjJoMnYyYzAgMS4xLjkgMiAyIDJoMnYyaDJ2LTJoMnYyaDJ2LTJoMmMxLjEgMCAyLS45IDItMnYtMmgydi0yaC0ydi0yaDJ6bS00IDZIN1Y3aDEwdjEweiIvPgo8L3N2Zz4K);
+  --jp-icon-keyboard: url(data:image/svg+xml;base64,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);
+  --jp-icon-launch: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMzIgMzIiIHdpZHRoPSIzMiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIj4KICAgIDxwYXRoIGQ9Ik0yNiwyOEg2YTIuMDAyNywyLjAwMjcsMCwwLDEtMi0yVjZBMi4wMDI3LDIuMDAyNywwLDAsMSw2LDRIMTZWNkg2VjI2SDI2VjE2aDJWMjZBMi4wMDI3LDIuMDAyNywwLDAsMSwyNiwyOFoiLz4KICAgIDxwb2x5Z29uIHBvaW50cz0iMjAgMiAyMCA0IDI2LjU4NiA0IDE4IDEyLjU4NiAxOS40MTQgMTQgMjggNS40MTQgMjggMTIgMzAgMTIgMzAgMiAyMCAyIi8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-launcher: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMTkgMTlINVY1aDdWM0g1YTIgMiAwIDAwLTIgMnYxNGEyIDIgMCAwMDIgMmgxNGMxLjEgMCAyLS45IDItMnYtN2gtMnY3ek0xNCAzdjJoMy41OWwtOS44MyA5LjgzIDEuNDEgMS40MUwxOSA2LjQxVjEwaDJWM2gtN3oiLz4KPC9zdmc+Cg==);
+  --jp-icon-line-form: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGZpbGw9IndoaXRlIiBkPSJNNS44OCA0LjEyTDEzLjc2IDEybC03Ljg4IDcuODhMOCAyMmwxMC0xMEw4IDJ6Ii8+Cjwvc3ZnPgo=);
+  --jp-icon-link: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTMuOSAxMmMwLTEuNzEgMS4zOS0zLjEgMy4xLTMuMWg0VjdIN2MtMi43NiAwLTUgMi4yNC01IDVzMi4yNCA1IDUgNWg0di0xLjlIN2MtMS43MSAwLTMuMS0xLjM5LTMuMS0zLjF6TTggMTNoOHYtMkg4djJ6bTktNmgtNHYxLjloNGMxLjcxIDAgMy4xIDEuMzkgMy4xIDMuMXMtMS4zOSAzLjEtMy4xIDMuMWgtNFYxN2g0YzIuNzYgMCA1LTIuMjQgNS01cy0yLjI0LTUtNS01eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-list: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGNsYXNzPSJqcC1pY29uMiBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xOSA1djE0SDVWNWgxNG0xLjEtMkgzLjljLS41IDAtLjkuNC0uOS45djE2LjJjMCAuNC40LjkuOS45aDE2LjJjLjQgMCAuOS0uNS45LS45VjMuOWMwLS41LS41LS45LS45LS45ek0xMSA3aDZ2MmgtNlY3em0wIDRoNnYyaC02di0yem0wIDRoNnYyaC02ek03IDdoMnYySDd6bTAgNGgydjJIN3ptMCA0aDJ2Mkg3eiIvPgo8L3N2Zz4K);
+  --jp-icon-markdown: url(data:image/svg+xml;base64,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);
+  --jp-icon-move-down: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMTQiIGhlaWdodD0iMTQiIHZpZXdCb3g9IjAgMCAxNCAxNCIgZmlsbD0ibm9uZSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KPHBhdGggY2xhc3M9ImpwLWljb24zIiBkPSJNMTIuNDcxIDcuNTI4OTlDMTIuNzYzMiA3LjIzNjg0IDEyLjc2MzIgNi43NjMxNiAxMi40NzEgNi40NzEwMVY2LjQ3MTAxQzEyLjE3OSA2LjE3OTA1IDExLjcwNTcgNi4xNzg4NCAxMS40MTM1IDYuNDcwNTRMNy43NSAxMC4xMjc1VjEuNzVDNy43NSAxLjMzNTc5IDcuNDE0MjEgMSA3IDFWMUM2LjU4NTc5IDEgNi4yNSAxLjMzNTc5IDYuMjUgMS43NVYxMC4xMjc1TDIuNTk3MjYgNi40NjgyMkMyLjMwMzM4IDYuMTczODEgMS44MjY0MSA2LjE3MzU5IDEuNTMyMjYgNi40Njc3NFY2LjQ2Nzc0QzEuMjM4MyA2Ljc2MTcgMS4yMzgzIDcuMjM4MyAxLjUzMjI2IDcuNTMyMjZMNi4yOTI4OSAxMi4yOTI5QzYuNjgzNDIgMTIuNjgzNCA3LjMxNjU4IDEyLjY4MzQgNy43MDcxMSAxMi4yOTI5TDEyLjQ3MSA3LjUyODk5WiIgZmlsbD0iIzYxNjE2MSIvPgo8L3N2Zz4K);
+  --jp-icon-move-up: url(data:image/svg+xml;base64,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);
+  --jp-icon-new-folder: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTIwIDZoLThsLTItMkg0Yy0xLjExIDAtMS45OS44OS0xLjk5IDJMMiAxOGMwIDEuMTEuODkgMiAyIDJoMTZjMS4xMSAwIDItLjg5IDItMlY4YzAtMS4xMS0uODktMi0yLTJ6bS0xIDhoLTN2M2gtMnYtM2gtM3YtMmgzVjloMnYzaDN2MnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-not-trusted: url(data:image/svg+xml;base64,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);
+  --jp-icon-notebook: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtbm90ZWJvb2staWNvbi1jb2xvciBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiNFRjZDMDAiPgogICAgPHBhdGggZD0iTTE4LjcgMy4zdjE1LjRIMy4zVjMuM2gxNS40bTEuNS0xLjVIMS44djE4LjNoMTguM2wuMS0xOC4zeiIvPgogICAgPHBhdGggZD0iTTE2LjUgMTYuNWwtNS40LTQuMy01LjYgNC4zdi0xMWgxMXoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-numbering: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjIiIGhlaWdodD0iMjIiIHZpZXdCb3g9IjAgMCAyOCAyOCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CgkJPHBhdGggZD0iTTQgMTlINlYxOS41SDVWMjAuNUg2VjIxSDRWMjJIN1YxOEg0VjE5Wk01IDEwSDZWNkg0VjdINVYxMFpNNCAxM0g1LjhMNCAxNS4xVjE2SDdWMTVINS4yTDcgMTIuOVYxMkg0VjEzWk05IDdWOUgyM1Y3SDlaTTkgMjFIMjNWMTlIOVYyMVpNOSAxNUgyM1YxM0g5VjE1WiIvPgoJPC9nPgo8L3N2Zz4K);
+  --jp-icon-offline-bolt: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAyNCAyNCIgd2lkdGg9IjE2Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyIDIuMDJjLTUuNTEgMC05Ljk4IDQuNDctOS45OCA5Ljk4czQuNDcgOS45OCA5Ljk4IDkuOTggOS45OC00LjQ3IDkuOTgtOS45OFMxNy41MSAyLjAyIDEyIDIuMDJ6TTExLjQ4IDIwdi02LjI2SDhMMTMgNHY2LjI2aDMuMzVMMTEuNDggMjB6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-palette: url(data:image/svg+xml;base64,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);
+  --jp-icon-paste: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTE5IDJoLTQuMThDMTQuNC44NCAxMy4zIDAgMTIgMGMtMS4zIDAtMi40Ljg0LTIuODIgMkg1Yy0xLjEgMC0yIC45LTIgMnYxNmMwIDEuMS45IDIgMiAyaDE0YzEuMSAwIDItLjkgMi0yVjRjMC0xLjEtLjktMi0yLTJ6bS03IDBjLjU1IDAgMSAuNDUgMSAxcy0uNDUgMS0xIDEtMS0uNDUtMS0xIC40NS0xIDEtMXptNyAxOEg1VjRoMnYzaDEwVjRoMnYxNnoiLz4KICAgIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-pdf: url(data:image/svg+xml;base64,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);
+  --jp-icon-python: url(data:image/svg+xml;base64,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);
+  --jp-icon-r-kernel: url(data:image/svg+xml;base64,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);
+  --jp-icon-react: url(data:image/svg+xml;base64,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);
+  --jp-icon-redo: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIGhlaWdodD0iMjQiIHZpZXdCb3g9IjAgMCAyNCAyNCIgd2lkdGg9IjE2Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgICA8cGF0aCBkPSJNMCAwaDI0djI0SDB6IiBmaWxsPSJub25lIi8+PHBhdGggZD0iTTE4LjQgMTAuNkMxNi41NSA4Ljk5IDE0LjE1IDggMTEuNSA4Yy00LjY1IDAtOC41OCAzLjAzLTkuOTYgNy4yMkwzLjkgMTZjMS4wNS0zLjE5IDQuMDUtNS41IDcuNi01LjUgMS45NSAwIDMuNzMuNzIgNS4xMiAxLjg4TDEzIDE2aDlWN2wtMy42IDMuNnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-refresh: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTkgMTMuNWMtMi40OSAwLTQuNS0yLjAxLTQuNS00LjVTNi41MSA0LjUgOSA0LjVjMS4yNCAwIDIuMzYuNTIgMy4xNyAxLjMzTDEwIDhoNVYzbC0xLjc2IDEuNzZDMTIuMTUgMy42OCAxMC42NiAzIDkgMyA1LjY5IDMgMy4wMSA1LjY5IDMuMDEgOVM1LjY5IDE1IDkgMTVjMi45NyAwIDUuNDMtMi4xNiA1LjktNWgtMS41MmMtLjQ2IDItMi4yNCAzLjUtNC4zOCAzLjV6Ii8+CiAgICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-regex: url(data:image/svg+xml;base64,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);
+  --jp-icon-run: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTggNXYxNGwxMS03eiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-running: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDUxMiA1MTIiPgogIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICA8cGF0aCBkPSJNMjU2IDhDMTE5IDggOCAxMTkgOCAyNTZzMTExIDI0OCAyNDggMjQ4IDI0OC0xMTEgMjQ4LTI0OFMzOTMgOCAyNTYgOHptOTYgMzI4YzAgOC44LTcuMiAxNi0xNiAxNkgxNzZjLTguOCAwLTE2LTcuMi0xNi0xNlYxNzZjMC04LjggNy4yLTE2IDE2LTE2aDE2MGM4LjggMCAxNiA3LjIgMTYgMTZ2MTYweiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-save: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTE3IDNINWMtMS4xMSAwLTIgLjktMiAydjE0YzAgMS4xLjg5IDIgMiAyaDE0YzEuMSAwIDItLjkgMi0yVjdsLTQtNHptLTUgMTZjLTEuNjYgMC0zLTEuMzQtMy0zczEuMzQtMyAzLTMgMyAxLjM0IDMgMy0xLjM0IDMtMyAzem0zLTEwSDVWNWgxMHY0eiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-search: url(data:image/svg+xml;base64,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);
+  --jp-icon-settings: url(data:image/svg+xml;base64,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);
+  --jp-icon-share: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMTYiIHZpZXdCb3g9IjAgMCAyNCAyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTSAxOCAyIEMgMTYuMzU0OTkgMiAxNSAzLjM1NDk5MDQgMTUgNSBDIDE1IDUuMTkwOTUyOSAxNS4wMjE3OTEgNS4zNzcxMjI0IDE1LjA1NjY0MSA1LjU1ODU5MzggTCA3LjkyMTg3NSA5LjcyMDcwMzEgQyA3LjM5ODUzOTkgOS4yNzc4NTM5IDYuNzMyMDc3MSA5IDYgOSBDIDQuMzU0OTkwNCA5IDMgMTAuMzU0OTkgMyAxMiBDIDMgMTMuNjQ1MDEgNC4zNTQ5OTA0IDE1IDYgMTUgQyA2LjczMjA3NzEgMTUgNy4zOTg1Mzk5IDE0LjcyMjE0NiA3LjkyMTg3NSAxNC4yNzkyOTcgTCAxNS4wNTY2NDEgMTguNDM5NDUzIEMgMTUuMDIxNTU1IDE4LjYyMTUxNCAxNSAxOC44MDgzODYgMTUgMTkgQyAxNSAyMC42NDUwMSAxNi4zNTQ5OSAyMiAxOCAyMiBDIDE5LjY0NTAxIDIyIDIxIDIwLjY0NTAxIDIxIDE5IEMgMjEgMTcuMzU0OTkgMTkuNjQ1MDEgMTYgMTggMTYgQyAxNy4yNjc0OCAxNiAxNi42MDE1OTMgMTYuMjc5MzI4IDE2LjA3ODEyNSAxNi43MjI2NTYgTCA4Ljk0MzM1OTQgMTIuNTU4NTk0IEMgOC45NzgyMDk1IDEyLjM3NzEyMiA5IDEyLjE5MDk1MyA5IDEyIEMgOSAxMS44MDkwNDcgOC45NzgyMDk1IDExLjYyMjg3OCA4Ljk0MzM1OTQgMTEuNDQxNDA2IEwgMTYuMDc4MTI1IDcuMjc5Mjk2OSBDIDE2LjYwMTQ2IDcuNzIyMTQ2MSAxNy4yNjc5MjMgOCAxOCA4IEMgMTkuNjQ1MDEgOCAyMSA2LjY0NTAwOTYgMjEgNSBDIDIxIDMuMzU0OTkwNCAxOS42NDUwMSAyIDE4IDIgeiBNIDE4IDQgQyAxOC41NjQxMjkgNCAxOSA0LjQzNTg3MDYgMTkgNSBDIDE5IDUuNTY0MTI5NCAxOC41NjQxMjkgNiAxOCA2IEMgMTcuNDM1ODcxIDYgMTcgNS41NjQxMjk0IDE3IDUgQyAxNyA0LjQzNTg3MDYgMTcuNDM1ODcxIDQgMTggNCB6IE0gNiAxMSBDIDYuNTY0MTI5NCAxMSA3IDExLjQzNTg3MSA3IDEyIEMgNyAxMi41NjQxMjkgNi41NjQxMjk0IDEzIDYgMTMgQyA1LjQzNTg3MDYgMTMgNSAxMi41NjQxMjkgNSAxMiBDIDUgMTEuNDM1ODcxIDUuNDM1ODcwNiAxMSA2IDExIHogTSAxOCAxOCBDIDE4LjU2NDEyOSAxOCAxOSAxOC40MzU4NzEgMTkgMTkgQyAxOSAxOS41NjQxMjkgMTguNTY0MTI5IDIwIDE4IDIwIEMgMTcuNDM1ODcxIDIwIDE3IDE5LjU2NDEyOSAxNyAxOSBDIDE3IDE4LjQzNTg3MSAxNy40MzU4NzEgMTggMTggMTggeiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-spreadsheet: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8cGF0aCBjbGFzcz0ianAtaWNvbi1jb250cmFzdDEganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNENBRjUwIiBkPSJNMi4yIDIuMnYxNy42aDE3LjZWMi4ySDIuMnptMTUuNCA3LjdoLTUuNVY0LjRoNS41djUuNXpNOS45IDQuNHY1LjVINC40VjQuNGg1LjV6bS01LjUgNy43aDUuNXY1LjVINC40di01LjV6bTcuNyA1LjV2LTUuNWg1LjV2NS41aC01LjV6Ii8+Cjwvc3ZnPgo=);
+  --jp-icon-stop: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik02IDZoMTJ2MTJINnoiLz4KICAgIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-tab: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTIxIDNIM2MtMS4xIDAtMiAuOS0yIDJ2MTRjMCAxLjEuOSAyIDIgMmgxOGMxLjEgMCAyLS45IDItMlY1YzAtMS4xLS45LTItMi0yem0wIDE2SDNWNWgxMHY0aDh2MTB6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-table-rows: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik0yMSw4SDNWNGgxOFY4eiBNMjEsMTBIM3Y0aDE4VjEweiBNMjEsMTZIM3Y0aDE4VjE2eiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-tag: url(data:image/svg+xml;base64,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);
+  --jp-icon-terminal: url(data:image/svg+xml;base64,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);
+  --jp-icon-text-editor: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtdGV4dC1lZGl0b3ItaWNvbi1jb2xvciBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xNSAxNUgzdjJoMTJ2LTJ6bTAtOEgzdjJoMTJWN3pNMyAxM2gxOHYtMkgzdjJ6bTAgOGgxOHYtMkgzdjJ6TTMgM3YyaDE4VjNIM3oiLz4KPC9zdmc+Cg==);
+  --jp-icon-toc: url(data:image/svg+xml;base64,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);
+  --jp-icon-tree-view: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik0yMiAxMVYzaC03djNIOVYzSDJ2OGg3VjhoMnYxMGg0djNoN3YtOGgtN3YzaC0yVjhoMnYzeiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-trusted: url(data:image/svg+xml;base64,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);
+  --jp-icon-undo: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyLjUgOGMtMi42NSAwLTUuMDUuOTktNi45IDIuNkwyIDd2OWg5bC0zLjYyLTMuNjJjMS4zOS0xLjE2IDMuMTYtMS44OCA1LjEyLTEuODggMy41NCAwIDYuNTUgMi4zMSA3LjYgNS41bDIuMzctLjc4QzIxLjA4IDExLjAzIDE3LjE1IDggMTIuNSA4eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-user: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMTYiIHZpZXdCb3g9IjAgMCAyNCAyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE2IDdhNCA0IDAgMTEtOCAwIDQgNCAwIDAxOCAwek0xMiAxNGE3IDcgMCAwMC03IDdoMTRhNyA3IDAgMDAtNy03eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-users: url(data:image/svg+xml;base64,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);
+  --jp-icon-vega: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtaWNvbjEganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjMjEyMTIxIj4KICAgIDxwYXRoIGQ9Ik0xMC42IDUuNGwyLjItMy4ySDIuMnY3LjNsNC02LjZ6Ii8+CiAgICA8cGF0aCBkPSJNMTUuOCAyLjJsLTQuNCA2LjZMNyA2LjNsLTQuOCA4djUuNWgxNy42VjIuMmgtNHptLTcgMTUuNEg1LjV2LTQuNGgzLjN2NC40em00LjQgMEg5LjhWOS44aDMuNHY3Ljh6bTQuNCAwaC0zLjRWNi41aDMuNHYxMS4xeiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-word: url(data:image/svg+xml;base64,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);
+  --jp-icon-yaml: url(data:image/svg+xml;base64,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);
+}
+
+/* Icon CSS class declarations */
+
+.jp-AddAboveIcon {
+  background-image: var(--jp-icon-add-above);
+}
+
+.jp-AddBelowIcon {
+  background-image: var(--jp-icon-add-below);
+}
+
+.jp-AddIcon {
+  background-image: var(--jp-icon-add);
+}
+
+.jp-BellIcon {
+  background-image: var(--jp-icon-bell);
+}
+
+.jp-BugDotIcon {
+  background-image: var(--jp-icon-bug-dot);
+}
+
+.jp-BugIcon {
+  background-image: var(--jp-icon-bug);
+}
+
+.jp-BuildIcon {
+  background-image: var(--jp-icon-build);
+}
+
+.jp-CaretDownEmptyIcon {
+  background-image: var(--jp-icon-caret-down-empty);
+}
+
+.jp-CaretDownEmptyThinIcon {
+  background-image: var(--jp-icon-caret-down-empty-thin);
+}
+
+.jp-CaretDownIcon {
+  background-image: var(--jp-icon-caret-down);
+}
+
+.jp-CaretLeftIcon {
+  background-image: var(--jp-icon-caret-left);
+}
+
+.jp-CaretRightIcon {
+  background-image: var(--jp-icon-caret-right);
+}
+
+.jp-CaretUpEmptyThinIcon {
+  background-image: var(--jp-icon-caret-up-empty-thin);
+}
+
+.jp-CaretUpIcon {
+  background-image: var(--jp-icon-caret-up);
+}
+
+.jp-CaseSensitiveIcon {
+  background-image: var(--jp-icon-case-sensitive);
+}
+
+.jp-CheckIcon {
+  background-image: var(--jp-icon-check);
+}
+
+.jp-CircleEmptyIcon {
+  background-image: var(--jp-icon-circle-empty);
+}
+
+.jp-CircleIcon {
+  background-image: var(--jp-icon-circle);
+}
+
+.jp-ClearIcon {
+  background-image: var(--jp-icon-clear);
+}
+
+.jp-CloseIcon {
+  background-image: var(--jp-icon-close);
+}
+
+.jp-CodeCheckIcon {
+  background-image: var(--jp-icon-code-check);
+}
+
+.jp-CodeIcon {
+  background-image: var(--jp-icon-code);
+}
+
+.jp-CollapseAllIcon {
+  background-image: var(--jp-icon-collapse-all);
+}
+
+.jp-ConsoleIcon {
+  background-image: var(--jp-icon-console);
+}
+
+.jp-CopyIcon {
+  background-image: var(--jp-icon-copy);
+}
+
+.jp-CopyrightIcon {
+  background-image: var(--jp-icon-copyright);
+}
+
+.jp-CutIcon {
+  background-image: var(--jp-icon-cut);
+}
+
+.jp-DeleteIcon {
+  background-image: var(--jp-icon-delete);
+}
+
+.jp-DownloadIcon {
+  background-image: var(--jp-icon-download);
+}
+
+.jp-DuplicateIcon {
+  background-image: var(--jp-icon-duplicate);
+}
+
+.jp-EditIcon {
+  background-image: var(--jp-icon-edit);
+}
+
+.jp-EllipsesIcon {
+  background-image: var(--jp-icon-ellipses);
+}
+
+.jp-ErrorIcon {
+  background-image: var(--jp-icon-error);
+}
+
+.jp-ExpandAllIcon {
+  background-image: var(--jp-icon-expand-all);
+}
+
+.jp-ExtensionIcon {
+  background-image: var(--jp-icon-extension);
+}
+
+.jp-FastForwardIcon {
+  background-image: var(--jp-icon-fast-forward);
+}
+
+.jp-FileIcon {
+  background-image: var(--jp-icon-file);
+}
+
+.jp-FileUploadIcon {
+  background-image: var(--jp-icon-file-upload);
+}
+
+.jp-FilterDotIcon {
+  background-image: var(--jp-icon-filter-dot);
+}
+
+.jp-FilterIcon {
+  background-image: var(--jp-icon-filter);
+}
+
+.jp-FilterListIcon {
+  background-image: var(--jp-icon-filter-list);
+}
+
+.jp-FolderFavoriteIcon {
+  background-image: var(--jp-icon-folder-favorite);
+}
+
+.jp-FolderIcon {
+  background-image: var(--jp-icon-folder);
+}
+
+.jp-HomeIcon {
+  background-image: var(--jp-icon-home);
+}
+
+.jp-Html5Icon {
+  background-image: var(--jp-icon-html5);
+}
+
+.jp-ImageIcon {
+  background-image: var(--jp-icon-image);
+}
+
+.jp-InfoIcon {
+  background-image: var(--jp-icon-info);
+}
+
+.jp-InspectorIcon {
+  background-image: var(--jp-icon-inspector);
+}
+
+.jp-JsonIcon {
+  background-image: var(--jp-icon-json);
+}
+
+.jp-JuliaIcon {
+  background-image: var(--jp-icon-julia);
+}
+
+.jp-JupyterFaviconIcon {
+  background-image: var(--jp-icon-jupyter-favicon);
+}
+
+.jp-JupyterIcon {
+  background-image: var(--jp-icon-jupyter);
+}
+
+.jp-JupyterlabWordmarkIcon {
+  background-image: var(--jp-icon-jupyterlab-wordmark);
+}
+
+.jp-KernelIcon {
+  background-image: var(--jp-icon-kernel);
+}
+
+.jp-KeyboardIcon {
+  background-image: var(--jp-icon-keyboard);
+}
+
+.jp-LaunchIcon {
+  background-image: var(--jp-icon-launch);
+}
+
+.jp-LauncherIcon {
+  background-image: var(--jp-icon-launcher);
+}
+
+.jp-LineFormIcon {
+  background-image: var(--jp-icon-line-form);
+}
+
+.jp-LinkIcon {
+  background-image: var(--jp-icon-link);
+}
+
+.jp-ListIcon {
+  background-image: var(--jp-icon-list);
+}
+
+.jp-MarkdownIcon {
+  background-image: var(--jp-icon-markdown);
+}
+
+.jp-MoveDownIcon {
+  background-image: var(--jp-icon-move-down);
+}
+
+.jp-MoveUpIcon {
+  background-image: var(--jp-icon-move-up);
+}
+
+.jp-NewFolderIcon {
+  background-image: var(--jp-icon-new-folder);
+}
+
+.jp-NotTrustedIcon {
+  background-image: var(--jp-icon-not-trusted);
+}
+
+.jp-NotebookIcon {
+  background-image: var(--jp-icon-notebook);
+}
+
+.jp-NumberingIcon {
+  background-image: var(--jp-icon-numbering);
+}
+
+.jp-OfflineBoltIcon {
+  background-image: var(--jp-icon-offline-bolt);
+}
+
+.jp-PaletteIcon {
+  background-image: var(--jp-icon-palette);
+}
+
+.jp-PasteIcon {
+  background-image: var(--jp-icon-paste);
+}
+
+.jp-PdfIcon {
+  background-image: var(--jp-icon-pdf);
+}
+
+.jp-PythonIcon {
+  background-image: var(--jp-icon-python);
+}
+
+.jp-RKernelIcon {
+  background-image: var(--jp-icon-r-kernel);
+}
+
+.jp-ReactIcon {
+  background-image: var(--jp-icon-react);
+}
+
+.jp-RedoIcon {
+  background-image: var(--jp-icon-redo);
+}
+
+.jp-RefreshIcon {
+  background-image: var(--jp-icon-refresh);
+}
+
+.jp-RegexIcon {
+  background-image: var(--jp-icon-regex);
+}
+
+.jp-RunIcon {
+  background-image: var(--jp-icon-run);
+}
+
+.jp-RunningIcon {
+  background-image: var(--jp-icon-running);
+}
+
+.jp-SaveIcon {
+  background-image: var(--jp-icon-save);
+}
+
+.jp-SearchIcon {
+  background-image: var(--jp-icon-search);
+}
+
+.jp-SettingsIcon {
+  background-image: var(--jp-icon-settings);
+}
+
+.jp-ShareIcon {
+  background-image: var(--jp-icon-share);
+}
+
+.jp-SpreadsheetIcon {
+  background-image: var(--jp-icon-spreadsheet);
+}
+
+.jp-StopIcon {
+  background-image: var(--jp-icon-stop);
+}
+
+.jp-TabIcon {
+  background-image: var(--jp-icon-tab);
+}
+
+.jp-TableRowsIcon {
+  background-image: var(--jp-icon-table-rows);
+}
+
+.jp-TagIcon {
+  background-image: var(--jp-icon-tag);
+}
+
+.jp-TerminalIcon {
+  background-image: var(--jp-icon-terminal);
+}
+
+.jp-TextEditorIcon {
+  background-image: var(--jp-icon-text-editor);
+}
+
+.jp-TocIcon {
+  background-image: var(--jp-icon-toc);
+}
+
+.jp-TreeViewIcon {
+  background-image: var(--jp-icon-tree-view);
+}
+
+.jp-TrustedIcon {
+  background-image: var(--jp-icon-trusted);
+}
+
+.jp-UndoIcon {
+  background-image: var(--jp-icon-undo);
+}
+
+.jp-UserIcon {
+  background-image: var(--jp-icon-user);
+}
+
+.jp-UsersIcon {
+  background-image: var(--jp-icon-users);
+}
+
+.jp-VegaIcon {
+  background-image: var(--jp-icon-vega);
+}
+
+.jp-WordIcon {
+  background-image: var(--jp-icon-word);
+}
+
+.jp-YamlIcon {
+  background-image: var(--jp-icon-yaml);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/**
+ * (DEPRECATED) Support for consuming icons as CSS background images
+ */
+
+.jp-Icon,
+.jp-MaterialIcon {
+  background-position: center;
+  background-repeat: no-repeat;
+  background-size: 16px;
+  min-width: 16px;
+  min-height: 16px;
+}
+
+.jp-Icon-cover {
+  background-position: center;
+  background-repeat: no-repeat;
+  background-size: cover;
+}
+
+/**
+ * (DEPRECATED) Support for specific CSS icon sizes
+ */
+
+.jp-Icon-16 {
+  background-size: 16px;
+  min-width: 16px;
+  min-height: 16px;
+}
+
+.jp-Icon-18 {
+  background-size: 18px;
+  min-width: 18px;
+  min-height: 18px;
+}
+
+.jp-Icon-20 {
+  background-size: 20px;
+  min-width: 20px;
+  min-height: 20px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.lm-TabBar .lm-TabBar-addButton {
+  align-items: center;
+  display: flex;
+  padding: 4px;
+  padding-bottom: 5px;
+  margin-right: 1px;
+  background-color: var(--jp-layout-color2);
+}
+
+.lm-TabBar .lm-TabBar-addButton:hover {
+  background-color: var(--jp-layout-color1);
+}
+
+.lm-DockPanel-tabBar .lm-TabBar-tab {
+  width: var(--jp-private-horizontal-tab-width);
+}
+
+.lm-DockPanel-tabBar .lm-TabBar-content {
+  flex: unset;
+}
+
+.lm-DockPanel-tabBar[data-orientation='horizontal'] {
+  flex: 1 1 auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/**
+ * Support for icons as inline SVG HTMLElements
+ */
+
+/* recolor the primary elements of an icon */
+.jp-icon0[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon1[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon2[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon3[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon4[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon0[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon1[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon2[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon3[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon4[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/* recolor the accent elements of an icon */
+.jp-icon-accent0[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.jp-icon-accent1[fill] {
+  fill: var(--jp-layout-color1);
+}
+
+.jp-icon-accent2[fill] {
+  fill: var(--jp-layout-color2);
+}
+
+.jp-icon-accent3[fill] {
+  fill: var(--jp-layout-color3);
+}
+
+.jp-icon-accent4[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-accent0[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-accent1[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-accent2[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-accent3[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-accent4[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* set the color of an icon to transparent */
+.jp-icon-none[fill] {
+  fill: none;
+}
+
+.jp-icon-none[stroke] {
+  stroke: none;
+}
+
+/* brand icon colors. Same for light and dark */
+.jp-icon-brand0[fill] {
+  fill: var(--jp-brand-color0);
+}
+
+.jp-icon-brand1[fill] {
+  fill: var(--jp-brand-color1);
+}
+
+.jp-icon-brand2[fill] {
+  fill: var(--jp-brand-color2);
+}
+
+.jp-icon-brand3[fill] {
+  fill: var(--jp-brand-color3);
+}
+
+.jp-icon-brand4[fill] {
+  fill: var(--jp-brand-color4);
+}
+
+.jp-icon-brand0[stroke] {
+  stroke: var(--jp-brand-color0);
+}
+
+.jp-icon-brand1[stroke] {
+  stroke: var(--jp-brand-color1);
+}
+
+.jp-icon-brand2[stroke] {
+  stroke: var(--jp-brand-color2);
+}
+
+.jp-icon-brand3[stroke] {
+  stroke: var(--jp-brand-color3);
+}
+
+.jp-icon-brand4[stroke] {
+  stroke: var(--jp-brand-color4);
+}
+
+/* warn icon colors. Same for light and dark */
+.jp-icon-warn0[fill] {
+  fill: var(--jp-warn-color0);
+}
+
+.jp-icon-warn1[fill] {
+  fill: var(--jp-warn-color1);
+}
+
+.jp-icon-warn2[fill] {
+  fill: var(--jp-warn-color2);
+}
+
+.jp-icon-warn3[fill] {
+  fill: var(--jp-warn-color3);
+}
+
+.jp-icon-warn0[stroke] {
+  stroke: var(--jp-warn-color0);
+}
+
+.jp-icon-warn1[stroke] {
+  stroke: var(--jp-warn-color1);
+}
+
+.jp-icon-warn2[stroke] {
+  stroke: var(--jp-warn-color2);
+}
+
+.jp-icon-warn3[stroke] {
+  stroke: var(--jp-warn-color3);
+}
+
+/* icon colors that contrast well with each other and most backgrounds */
+.jp-icon-contrast0[fill] {
+  fill: var(--jp-icon-contrast-color0);
+}
+
+.jp-icon-contrast1[fill] {
+  fill: var(--jp-icon-contrast-color1);
+}
+
+.jp-icon-contrast2[fill] {
+  fill: var(--jp-icon-contrast-color2);
+}
+
+.jp-icon-contrast3[fill] {
+  fill: var(--jp-icon-contrast-color3);
+}
+
+.jp-icon-contrast0[stroke] {
+  stroke: var(--jp-icon-contrast-color0);
+}
+
+.jp-icon-contrast1[stroke] {
+  stroke: var(--jp-icon-contrast-color1);
+}
+
+.jp-icon-contrast2[stroke] {
+  stroke: var(--jp-icon-contrast-color2);
+}
+
+.jp-icon-contrast3[stroke] {
+  stroke: var(--jp-icon-contrast-color3);
+}
+
+.jp-icon-dot[fill] {
+  fill: var(--jp-warn-color0);
+}
+
+.jp-jupyter-icon-color[fill] {
+  fill: var(--jp-jupyter-icon-color, var(--jp-warn-color0));
+}
+
+.jp-notebook-icon-color[fill] {
+  fill: var(--jp-notebook-icon-color, var(--jp-warn-color0));
+}
+
+.jp-json-icon-color[fill] {
+  fill: var(--jp-json-icon-color, var(--jp-warn-color1));
+}
+
+.jp-console-icon-color[fill] {
+  fill: var(--jp-console-icon-color, white);
+}
+
+.jp-console-icon-background-color[fill] {
+  fill: var(--jp-console-icon-background-color, var(--jp-brand-color1));
+}
+
+.jp-terminal-icon-color[fill] {
+  fill: var(--jp-terminal-icon-color, var(--jp-layout-color2));
+}
+
+.jp-terminal-icon-background-color[fill] {
+  fill: var(
+    --jp-terminal-icon-background-color,
+    var(--jp-inverse-layout-color2)
+  );
+}
+
+.jp-text-editor-icon-color[fill] {
+  fill: var(--jp-text-editor-icon-color, var(--jp-inverse-layout-color3));
+}
+
+.jp-inspector-icon-color[fill] {
+  fill: var(--jp-inspector-icon-color, var(--jp-inverse-layout-color3));
+}
+
+/* CSS for icons in selected filebrowser listing items */
+.jp-DirListing-item.jp-mod-selected .jp-icon-selectable[fill] {
+  fill: #fff;
+}
+
+.jp-DirListing-item.jp-mod-selected .jp-icon-selectable-inverse[fill] {
+  fill: var(--jp-brand-color1);
+}
+
+/* stylelint-disable selector-max-class, selector-max-compound-selectors */
+
+/**
+* TODO: come up with non css-hack solution for showing the busy icon on top
+*  of the close icon
+* CSS for complex behavior of close icon of tabs in the main area tabbar
+*/
+.lm-DockPanel-tabBar
+  .lm-TabBar-tab.lm-mod-closable.jp-mod-dirty
+  > .lm-TabBar-tabCloseIcon
+  > :not(:hover)
+  > .jp-icon3[fill] {
+  fill: none;
+}
+
+.lm-DockPanel-tabBar
+  .lm-TabBar-tab.lm-mod-closable.jp-mod-dirty
+  > .lm-TabBar-tabCloseIcon
+  > :not(:hover)
+  > .jp-icon-busy[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+/* stylelint-enable selector-max-class, selector-max-compound-selectors */
+
+/* CSS for icons in status bar */
+#jp-main-statusbar .jp-mod-selected .jp-icon-selectable[fill] {
+  fill: #fff;
+}
+
+#jp-main-statusbar .jp-mod-selected .jp-icon-selectable-inverse[fill] {
+  fill: var(--jp-brand-color1);
+}
+
+/* special handling for splash icon CSS. While the theme CSS reloads during
+   splash, the splash icon can loose theming. To prevent that, we set a
+   default for its color variable */
+:root {
+  --jp-warn-color0: var(--md-orange-700);
+}
+
+/* not sure what to do with this one, used in filebrowser listing */
+.jp-DragIcon {
+  margin-right: 4px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/**
+ * Support for alt colors for icons as inline SVG HTMLElements
+ */
+
+/* alt recolor the primary elements of an icon */
+.jp-icon-alt .jp-icon0[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.jp-icon-alt .jp-icon1[fill] {
+  fill: var(--jp-layout-color1);
+}
+
+.jp-icon-alt .jp-icon2[fill] {
+  fill: var(--jp-layout-color2);
+}
+
+.jp-icon-alt .jp-icon3[fill] {
+  fill: var(--jp-layout-color3);
+}
+
+.jp-icon-alt .jp-icon4[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-alt .jp-icon0[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-alt .jp-icon1[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-alt .jp-icon2[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-alt .jp-icon3[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-alt .jp-icon4[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* alt recolor the accent elements of an icon */
+.jp-icon-alt .jp-icon-accent0[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-alt .jp-icon-accent1[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-alt .jp-icon-accent2[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-alt .jp-icon-accent3[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-alt .jp-icon-accent4[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon-alt .jp-icon-accent0[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-alt .jp-icon-accent1[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-alt .jp-icon-accent2[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-alt .jp-icon-accent3[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-alt .jp-icon-accent4[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-icon-hoverShow:not(:hover) .jp-icon-hoverShow-content {
+  display: none !important;
+}
+
+/**
+ * Support for hover colors for icons as inline SVG HTMLElements
+ */
+
+/**
+ * regular colors
+ */
+
+/* recolor the primary elements of an icon */
+.jp-icon-hover :hover .jp-icon0-hover[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon1-hover[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon2-hover[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon3-hover[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon4-hover[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon-hover :hover .jp-icon0-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon1-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon2-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon3-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon4-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/* recolor the accent elements of an icon */
+.jp-icon-hover :hover .jp-icon-accent0-hover[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon-accent1-hover[fill] {
+  fill: var(--jp-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon-accent2-hover[fill] {
+  fill: var(--jp-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon-accent3-hover[fill] {
+  fill: var(--jp-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon-accent4-hover[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-hover :hover .jp-icon-accent0-hover[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon-accent1-hover[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon-accent2-hover[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon-accent3-hover[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon-accent4-hover[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* set the color of an icon to transparent */
+.jp-icon-hover :hover .jp-icon-none-hover[fill] {
+  fill: none;
+}
+
+.jp-icon-hover :hover .jp-icon-none-hover[stroke] {
+  stroke: none;
+}
+
+/**
+ * inverse colors
+ */
+
+/* inverse recolor the primary elements of an icon */
+.jp-icon-hover.jp-icon-alt :hover .jp-icon0-hover[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon1-hover[fill] {
+  fill: var(--jp-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon2-hover[fill] {
+  fill: var(--jp-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon3-hover[fill] {
+  fill: var(--jp-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon4-hover[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon0-hover[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon1-hover[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon2-hover[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon3-hover[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon4-hover[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* inverse recolor the accent elements of an icon */
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent0-hover[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent1-hover[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent2-hover[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent3-hover[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent4-hover[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent0-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent1-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent2-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent3-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent4-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-IFrame {
+  width: 100%;
+  height: 100%;
+}
+
+.jp-IFrame > iframe {
+  border: none;
+}
+
+/*
+When drag events occur, `lm-mod-override-cursor` is added to the body.
+Because iframes steal all cursor events, the following two rules are necessary
+to suppress pointer events while resize drags are occurring. There may be a
+better solution to this problem.
+*/
+body.lm-mod-override-cursor .jp-IFrame {
+  position: relative;
+}
+
+body.lm-mod-override-cursor .jp-IFrame::before {
+  content: '';
+  position: absolute;
+  top: 0;
+  left: 0;
+  right: 0;
+  bottom: 0;
+  background: transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-HoverBox {
+  position: fixed;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-FormGroup-content fieldset {
+  border: none;
+  padding: 0;
+  min-width: 0;
+  width: 100%;
+}
+
+/* stylelint-disable selector-max-type */
+
+.jp-FormGroup-content fieldset .jp-inputFieldWrapper input,
+.jp-FormGroup-content fieldset .jp-inputFieldWrapper select,
+.jp-FormGroup-content fieldset .jp-inputFieldWrapper textarea {
+  font-size: var(--jp-content-font-size2);
+  border-color: var(--jp-input-border-color);
+  border-style: solid;
+  border-radius: var(--jp-border-radius);
+  border-width: 1px;
+  padding: 6px 8px;
+  background: none;
+  color: var(--jp-ui-font-color0);
+  height: inherit;
+}
+
+.jp-FormGroup-content fieldset input[type='checkbox'] {
+  position: relative;
+  top: 2px;
+  margin-left: 0;
+}
+
+.jp-FormGroup-content button.jp-mod-styled {
+  cursor: pointer;
+}
+
+.jp-FormGroup-content .checkbox label {
+  cursor: pointer;
+  font-size: var(--jp-content-font-size1);
+}
+
+.jp-FormGroup-content .jp-root > fieldset > legend {
+  display: none;
+}
+
+.jp-FormGroup-content .jp-root > fieldset > p {
+  display: none;
+}
+
+/** copy of `input.jp-mod-styled:focus` style */
+.jp-FormGroup-content fieldset input:focus,
+.jp-FormGroup-content fieldset select:focus {
+  -moz-outline-radius: unset;
+  outline: var(--jp-border-width) solid var(--md-blue-500);
+  outline-offset: -1px;
+  box-shadow: inset 0 0 4px var(--md-blue-300);
+}
+
+.jp-FormGroup-content fieldset input:hover:not(:focus),
+.jp-FormGroup-content fieldset select:hover:not(:focus) {
+  background-color: var(--jp-border-color2);
+}
+
+/* stylelint-enable selector-max-type */
+
+.jp-FormGroup-content .checkbox .field-description {
+  /* Disable default description field for checkbox:
+   because other widgets do not have description fields,
+   we add descriptions to each widget on the field level.
+  */
+  display: none;
+}
+
+.jp-FormGroup-content #root__description {
+  display: none;
+}
+
+.jp-FormGroup-content .jp-modifiedIndicator {
+  width: 5px;
+  background-color: var(--jp-brand-color2);
+  margin-top: 0;
+  margin-left: calc(var(--jp-private-settingeditor-modifier-indent) * -1);
+  flex-shrink: 0;
+}
+
+.jp-FormGroup-content .jp-modifiedIndicator.jp-errorIndicator {
+  background-color: var(--jp-error-color0);
+  margin-right: 0.5em;
+}
+
+/* RJSF ARRAY style */
+
+.jp-arrayFieldWrapper legend {
+  font-size: var(--jp-content-font-size2);
+  color: var(--jp-ui-font-color0);
+  flex-basis: 100%;
+  padding: 4px 0;
+  font-weight: var(--jp-content-heading-font-weight);
+  border-bottom: 1px solid var(--jp-border-color2);
+}
+
+.jp-arrayFieldWrapper .field-description {
+  padding: 4px 0;
+  white-space: pre-wrap;
+}
+
+.jp-arrayFieldWrapper .array-item {
+  width: 100%;
+  border: 1px solid var(--jp-border-color2);
+  border-radius: 4px;
+  margin: 4px;
+}
+
+.jp-ArrayOperations {
+  display: flex;
+  margin-left: 8px;
+}
+
+.jp-ArrayOperationsButton {
+  margin: 2px;
+}
+
+.jp-ArrayOperationsButton .jp-icon3[fill] {
+  fill: var(--jp-ui-font-color0);
+}
+
+button.jp-ArrayOperationsButton.jp-mod-styled:disabled {
+  cursor: not-allowed;
+  opacity: 0.5;
+}
+
+/* RJSF form validation error */
+
+.jp-FormGroup-content .validationErrors {
+  color: var(--jp-error-color0);
+}
+
+/* Hide panel level error as duplicated the field level error */
+.jp-FormGroup-content .panel.errors {
+  display: none;
+}
+
+/* RJSF normal content (settings-editor) */
+
+.jp-FormGroup-contentNormal {
+  display: flex;
+  align-items: center;
+  flex-wrap: wrap;
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-contentItem {
+  margin-left: 7px;
+  color: var(--jp-ui-font-color0);
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-description {
+  flex-basis: 100%;
+  padding: 4px 7px;
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-default {
+  flex-basis: 100%;
+  padding: 4px 7px;
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-fieldLabel {
+  font-size: var(--jp-content-font-size1);
+  font-weight: normal;
+  min-width: 120px;
+}
+
+.jp-FormGroup-contentNormal fieldset:not(:first-child) {
+  margin-left: 7px;
+}
+
+.jp-FormGroup-contentNormal .field-array-of-string .array-item {
+  /* Display `jp-ArrayOperations` buttons side-by-side with content except
+    for small screens where flex-wrap will place them one below the other.
+  */
+  display: flex;
+  align-items: center;
+  flex-wrap: wrap;
+}
+
+.jp-FormGroup-contentNormal .jp-objectFieldWrapper .form-group {
+  padding: 2px 8px 2px var(--jp-private-settingeditor-modifier-indent);
+  margin-top: 2px;
+}
+
+/* RJSF compact content (metadata-form) */
+
+.jp-FormGroup-content.jp-FormGroup-contentCompact {
+  width: 100%;
+}
+
+.jp-FormGroup-contentCompact .form-group {
+  display: flex;
+  padding: 0.5em 0.2em 0.5em 0;
+}
+
+.jp-FormGroup-contentCompact
+  .jp-FormGroup-compactTitle
+  .jp-FormGroup-description {
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-FormGroup-contentCompact .jp-FormGroup-fieldLabel {
+  padding-bottom: 0.3em;
+}
+
+.jp-FormGroup-contentCompact .jp-inputFieldWrapper .form-control {
+  width: 100%;
+  box-sizing: border-box;
+}
+
+.jp-FormGroup-contentCompact .jp-arrayFieldWrapper .jp-FormGroup-compactTitle {
+  padding-bottom: 7px;
+}
+
+.jp-FormGroup-contentCompact
+  .jp-objectFieldWrapper
+  .jp-objectFieldWrapper
+  .form-group {
+  padding: 2px 8px 2px var(--jp-private-settingeditor-modifier-indent);
+  margin-top: 2px;
+}
+
+.jp-FormGroup-contentCompact ul.error-detail {
+  margin-block-start: 0.5em;
+  margin-block-end: 0.5em;
+  padding-inline-start: 1em;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-SidePanel {
+  display: flex;
+  flex-direction: column;
+  min-width: var(--jp-sidebar-min-width);
+  overflow-y: auto;
+  color: var(--jp-ui-font-color1);
+  background: var(--jp-layout-color1);
+  font-size: var(--jp-ui-font-size1);
+}
+
+.jp-SidePanel-header {
+  flex: 0 0 auto;
+  display: flex;
+  border-bottom: var(--jp-border-width) solid var(--jp-border-color2);
+  font-size: var(--jp-ui-font-size0);
+  font-weight: 600;
+  letter-spacing: 1px;
+  margin: 0;
+  padding: 2px;
+  text-transform: uppercase;
+}
+
+.jp-SidePanel-toolbar {
+  flex: 0 0 auto;
+}
+
+.jp-SidePanel-content {
+  flex: 1 1 auto;
+}
+
+.jp-SidePanel-toolbar,
+.jp-AccordionPanel-toolbar {
+  height: var(--jp-private-toolbar-height);
+}
+
+.jp-SidePanel-toolbar.jp-Toolbar-micro {
+  display: none;
+}
+
+.lm-AccordionPanel .jp-AccordionPanel-title {
+  box-sizing: border-box;
+  line-height: 25px;
+  margin: 0;
+  display: flex;
+  align-items: center;
+  background: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  font-size: var(--jp-ui-font-size0);
+}
+
+.jp-AccordionPanel-title {
+  cursor: pointer;
+  user-select: none;
+  -moz-user-select: none;
+  -webkit-user-select: none;
+  text-transform: uppercase;
+}
+
+.lm-AccordionPanel[data-orientation='horizontal'] > .jp-AccordionPanel-title {
+  /* Title is rotated for horizontal accordion panel using CSS */
+  display: block;
+  transform-origin: top left;
+  transform: rotate(-90deg) translate(-100%);
+}
+
+.jp-AccordionPanel-title .lm-AccordionPanel-titleLabel {
+  user-select: none;
+  text-overflow: ellipsis;
+  white-space: nowrap;
+  overflow: hidden;
+}
+
+.jp-AccordionPanel-title .lm-AccordionPanel-titleCollapser {
+  transform: rotate(-90deg);
+  margin: auto 0;
+  height: 16px;
+}
+
+.jp-AccordionPanel-title.lm-mod-expanded .lm-AccordionPanel-titleCollapser {
+  transform: rotate(0deg);
+}
+
+.lm-AccordionPanel .jp-AccordionPanel-toolbar {
+  background: none;
+  box-shadow: none;
+  border: none;
+  margin-left: auto;
+}
+
+.lm-AccordionPanel .lm-SplitPanel-handle:hover {
+  background: var(--jp-layout-color3);
+}
+
+.jp-text-truncated {
+  overflow: hidden;
+  text-overflow: ellipsis;
+  white-space: nowrap;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Spinner {
+  position: absolute;
+  display: flex;
+  justify-content: center;
+  align-items: center;
+  z-index: 10;
+  left: 0;
+  top: 0;
+  width: 100%;
+  height: 100%;
+  background: var(--jp-layout-color0);
+  outline: none;
+}
+
+.jp-SpinnerContent {
+  font-size: 10px;
+  margin: 50px auto;
+  text-indent: -9999em;
+  width: 3em;
+  height: 3em;
+  border-radius: 50%;
+  background: var(--jp-brand-color3);
+  background: linear-gradient(
+    to right,
+    #f37626 10%,
+    rgba(255, 255, 255, 0) 42%
+  );
+  position: relative;
+  animation: load3 1s infinite linear, fadeIn 1s;
+}
+
+.jp-SpinnerContent::before {
+  width: 50%;
+  height: 50%;
+  background: #f37626;
+  border-radius: 100% 0 0;
+  position: absolute;
+  top: 0;
+  left: 0;
+  content: '';
+}
+
+.jp-SpinnerContent::after {
+  background: var(--jp-layout-color0);
+  width: 75%;
+  height: 75%;
+  border-radius: 50%;
+  content: '';
+  margin: auto;
+  position: absolute;
+  top: 0;
+  left: 0;
+  bottom: 0;
+  right: 0;
+}
+
+@keyframes fadeIn {
+  0% {
+    opacity: 0;
+  }
+
+  100% {
+    opacity: 1;
+  }
+}
+
+@keyframes load3 {
+  0% {
+    transform: rotate(0deg);
+  }
+
+  100% {
+    transform: rotate(360deg);
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+button.jp-mod-styled {
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color0);
+  border: none;
+  box-sizing: border-box;
+  text-align: center;
+  line-height: 32px;
+  height: 32px;
+  padding: 0 12px;
+  letter-spacing: 0.8px;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+}
+
+input.jp-mod-styled {
+  background: var(--jp-input-background);
+  height: 28px;
+  box-sizing: border-box;
+  border: var(--jp-border-width) solid var(--jp-border-color1);
+  padding-left: 7px;
+  padding-right: 7px;
+  font-size: var(--jp-ui-font-size2);
+  color: var(--jp-ui-font-color0);
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+}
+
+input[type='checkbox'].jp-mod-styled {
+  appearance: checkbox;
+  -webkit-appearance: checkbox;
+  -moz-appearance: checkbox;
+  height: auto;
+}
+
+input.jp-mod-styled:focus {
+  border: var(--jp-border-width) solid var(--md-blue-500);
+  box-shadow: inset 0 0 4px var(--md-blue-300);
+}
+
+.jp-select-wrapper {
+  display: flex;
+  position: relative;
+  flex-direction: column;
+  padding: 1px;
+  background-color: var(--jp-layout-color1);
+  box-sizing: border-box;
+  margin-bottom: 12px;
+}
+
+.jp-select-wrapper:not(.multiple) {
+  height: 28px;
+}
+
+.jp-select-wrapper.jp-mod-focused select.jp-mod-styled {
+  border: var(--jp-border-width) solid var(--jp-input-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+  background-color: var(--jp-input-active-background);
+}
+
+select.jp-mod-styled:hover {
+  cursor: pointer;
+  color: var(--jp-ui-font-color0);
+  background-color: var(--jp-input-hover-background);
+  box-shadow: inset 0 0 1px rgba(0, 0, 0, 0.5);
+}
+
+select.jp-mod-styled {
+  flex: 1 1 auto;
+  width: 100%;
+  font-size: var(--jp-ui-font-size2);
+  background: var(--jp-input-background);
+  color: var(--jp-ui-font-color0);
+  padding: 0 25px 0 8px;
+  border: var(--jp-border-width) solid var(--jp-input-border-color);
+  border-radius: 0;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+}
+
+select.jp-mod-styled:not([multiple]) {
+  height: 32px;
+}
+
+select.jp-mod-styled[multiple] {
+  max-height: 200px;
+  overflow-y: auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-switch {
+  display: flex;
+  align-items: center;
+  padding-left: 4px;
+  padding-right: 4px;
+  font-size: var(--jp-ui-font-size1);
+  background-color: transparent;
+  color: var(--jp-ui-font-color1);
+  border: none;
+  height: 20px;
+}
+
+.jp-switch:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-switch-label {
+  margin-right: 5px;
+  font-family: var(--jp-ui-font-family);
+}
+
+.jp-switch-track {
+  cursor: pointer;
+  background-color: var(--jp-switch-color, var(--jp-border-color1));
+  -webkit-transition: 0.4s;
+  transition: 0.4s;
+  border-radius: 34px;
+  height: 16px;
+  width: 35px;
+  position: relative;
+}
+
+.jp-switch-track::before {
+  content: '';
+  position: absolute;
+  height: 10px;
+  width: 10px;
+  margin: 3px;
+  left: 0;
+  background-color: var(--jp-ui-inverse-font-color1);
+  -webkit-transition: 0.4s;
+  transition: 0.4s;
+  border-radius: 50%;
+}
+
+.jp-switch[aria-checked='true'] .jp-switch-track {
+  background-color: var(--jp-switch-true-position-color, var(--jp-warn-color0));
+}
+
+.jp-switch[aria-checked='true'] .jp-switch-track::before {
+  /* track width (35) - margins (3 + 3) - thumb width (10) */
+  left: 19px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-toolbar-height: calc(
+    28px + var(--jp-border-width)
+  ); /* leave 28px for content */
+}
+
+.jp-Toolbar {
+  color: var(--jp-ui-font-color1);
+  flex: 0 0 auto;
+  display: flex;
+  flex-direction: row;
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  background: var(--jp-toolbar-background);
+  min-height: var(--jp-toolbar-micro-height);
+  padding: 2px;
+  z-index: 8;
+  overflow-x: hidden;
+}
+
+/* Toolbar items */
+
+.jp-Toolbar > .jp-Toolbar-item.jp-Toolbar-spacer {
+  flex-grow: 1;
+  flex-shrink: 1;
+}
+
+.jp-Toolbar-item.jp-Toolbar-kernelStatus {
+  display: inline-block;
+  width: 32px;
+  background-repeat: no-repeat;
+  background-position: center;
+  background-size: 16px;
+}
+
+.jp-Toolbar > .jp-Toolbar-item {
+  flex: 0 0 auto;
+  display: flex;
+  padding-left: 1px;
+  padding-right: 1px;
+  font-size: var(--jp-ui-font-size1);
+  line-height: var(--jp-private-toolbar-height);
+  height: 100%;
+}
+
+/* Toolbar buttons */
+
+/* This is the div we use to wrap the react component into a Widget */
+div.jp-ToolbarButton {
+  color: transparent;
+  border: none;
+  box-sizing: border-box;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+  padding: 0;
+  margin: 0;
+}
+
+button.jp-ToolbarButtonComponent {
+  background: var(--jp-layout-color1);
+  border: none;
+  box-sizing: border-box;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+  padding: 0 6px;
+  margin: 0;
+  height: 24px;
+  border-radius: var(--jp-border-radius);
+  display: flex;
+  align-items: center;
+  text-align: center;
+  font-size: 14px;
+  min-width: unset;
+  min-height: unset;
+}
+
+button.jp-ToolbarButtonComponent:disabled {
+  opacity: 0.4;
+}
+
+button.jp-ToolbarButtonComponent > span {
+  padding: 0;
+  flex: 0 0 auto;
+}
+
+button.jp-ToolbarButtonComponent .jp-ToolbarButtonComponent-label {
+  font-size: var(--jp-ui-font-size1);
+  line-height: 100%;
+  padding-left: 2px;
+  color: var(--jp-ui-font-color1);
+  font-family: var(--jp-ui-font-family);
+}
+
+#jp-main-dock-panel[data-mode='single-document']
+  .jp-MainAreaWidget
+  > .jp-Toolbar.jp-Toolbar-micro {
+  padding: 0;
+  min-height: 0;
+}
+
+#jp-main-dock-panel[data-mode='single-document']
+  .jp-MainAreaWidget
+  > .jp-Toolbar {
+  border: none;
+  box-shadow: none;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-WindowedPanel-outer {
+  position: relative;
+  overflow-y: auto;
+}
+
+.jp-WindowedPanel-inner {
+  position: relative;
+}
+
+.jp-WindowedPanel-window {
+  position: absolute;
+  left: 0;
+  right: 0;
+  overflow: visible;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/* Sibling imports */
+
+body {
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+}
+
+/* Disable native link decoration styles everywhere outside of dialog boxes */
+a {
+  text-decoration: unset;
+  color: unset;
+}
+
+a:hover {
+  text-decoration: unset;
+  color: unset;
+}
+
+/* Accessibility for links inside dialog box text */
+.jp-Dialog-content a {
+  text-decoration: revert;
+  color: var(--jp-content-link-color);
+}
+
+.jp-Dialog-content a:hover {
+  text-decoration: revert;
+}
+
+/* Styles for ui-components */
+.jp-Button {
+  color: var(--jp-ui-font-color2);
+  border-radius: var(--jp-border-radius);
+  padding: 0 12px;
+  font-size: var(--jp-ui-font-size1);
+
+  /* Copy from blueprint 3 */
+  display: inline-flex;
+  flex-direction: row;
+  border: none;
+  cursor: pointer;
+  align-items: center;
+  justify-content: center;
+  text-align: left;
+  vertical-align: middle;
+  min-height: 30px;
+  min-width: 30px;
+}
+
+.jp-Button:disabled {
+  cursor: not-allowed;
+}
+
+.jp-Button:empty {
+  padding: 0 !important;
+}
+
+.jp-Button.jp-mod-small {
+  min-height: 24px;
+  min-width: 24px;
+  font-size: 12px;
+  padding: 0 7px;
+}
+
+/* Use our own theme for hover styles */
+.jp-Button.jp-mod-minimal:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-Button.jp-mod-minimal {
+  background: none;
+}
+
+.jp-InputGroup {
+  display: block;
+  position: relative;
+}
+
+.jp-InputGroup input {
+  box-sizing: border-box;
+  border: none;
+  border-radius: 0;
+  background-color: transparent;
+  color: var(--jp-ui-font-color0);
+  box-shadow: inset 0 0 0 var(--jp-border-width) var(--jp-input-border-color);
+  padding-bottom: 0;
+  padding-top: 0;
+  padding-left: 10px;
+  padding-right: 28px;
+  position: relative;
+  width: 100%;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+  appearance: none;
+  font-size: 14px;
+  font-weight: 400;
+  height: 30px;
+  line-height: 30px;
+  outline: none;
+  vertical-align: middle;
+}
+
+.jp-InputGroup input:focus {
+  box-shadow: inset 0 0 0 var(--jp-border-width)
+      var(--jp-input-active-box-shadow-color),
+    inset 0 0 0 3px var(--jp-input-active-box-shadow-color);
+}
+
+.jp-InputGroup input:disabled {
+  cursor: not-allowed;
+  resize: block;
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-InputGroup input:disabled ~ span {
+  cursor: not-allowed;
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-InputGroup input::placeholder,
+input::placeholder {
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-InputGroupAction {
+  position: absolute;
+  bottom: 1px;
+  right: 0;
+  padding: 6px;
+}
+
+.jp-HTMLSelect.jp-DefaultStyle select {
+  background-color: initial;
+  border: none;
+  border-radius: 0;
+  box-shadow: none;
+  color: var(--jp-ui-font-color0);
+  display: block;
+  font-size: var(--jp-ui-font-size1);
+  font-family: var(--jp-ui-font-family);
+  height: 24px;
+  line-height: 14px;
+  padding: 0 25px 0 10px;
+  text-align: left;
+  -moz-appearance: none;
+  -webkit-appearance: none;
+}
+
+.jp-HTMLSelect.jp-DefaultStyle select:disabled {
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color2);
+  cursor: not-allowed;
+  resize: block;
+}
+
+.jp-HTMLSelect.jp-DefaultStyle select:disabled ~ span {
+  cursor: not-allowed;
+}
+
+/* Use our own theme for hover and option styles */
+/* stylelint-disable-next-line selector-max-type */
+.jp-HTMLSelect.jp-DefaultStyle select:hover,
+.jp-HTMLSelect.jp-DefaultStyle select > option {
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color0);
+}
+
+select {
+  box-sizing: border-box;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Styles
+|----------------------------------------------------------------------------*/
+
+.jp-StatusBar-Widget {
+  display: flex;
+  align-items: center;
+  background: var(--jp-layout-color2);
+  min-height: var(--jp-statusbar-height);
+  justify-content: space-between;
+  padding: 0 10px;
+}
+
+.jp-StatusBar-Left {
+  display: flex;
+  align-items: center;
+  flex-direction: row;
+}
+
+.jp-StatusBar-Middle {
+  display: flex;
+  align-items: center;
+}
+
+.jp-StatusBar-Right {
+  display: flex;
+  align-items: center;
+  flex-direction: row-reverse;
+}
+
+.jp-StatusBar-Item {
+  max-height: var(--jp-statusbar-height);
+  margin: 0 2px;
+  height: var(--jp-statusbar-height);
+  white-space: nowrap;
+  text-overflow: ellipsis;
+  color: var(--jp-ui-font-color1);
+  padding: 0 6px;
+}
+
+.jp-mod-highlighted:hover {
+  background-color: var(--jp-layout-color3);
+}
+
+.jp-mod-clicked {
+  background-color: var(--jp-brand-color1);
+}
+
+.jp-mod-clicked:hover {
+  background-color: var(--jp-brand-color0);
+}
+
+.jp-mod-clicked .jp-StatusBar-TextItem {
+  color: var(--jp-ui-inverse-font-color1);
+}
+
+.jp-StatusBar-HoverItem {
+  box-shadow: '0px 4px 4px rgba(0, 0, 0, 0.25)';
+}
+
+.jp-StatusBar-TextItem {
+  font-size: var(--jp-ui-font-size1);
+  font-family: var(--jp-ui-font-family);
+  line-height: 24px;
+  color: var(--jp-ui-font-color1);
+}
+
+.jp-StatusBar-GroupItem {
+  display: flex;
+  align-items: center;
+  flex-direction: row;
+}
+
+.jp-Statusbar-ProgressCircle svg {
+  display: block;
+  margin: 0 auto;
+  width: 16px;
+  height: 24px;
+  align-self: normal;
+}
+
+.jp-Statusbar-ProgressCircle path {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-Statusbar-ProgressBar-progress-bar {
+  height: 10px;
+  width: 100px;
+  border: solid 0.25px var(--jp-brand-color2);
+  border-radius: 3px;
+  overflow: hidden;
+  align-self: center;
+}
+
+.jp-Statusbar-ProgressBar-progress-bar > div {
+  background-color: var(--jp-brand-color2);
+  background-image: linear-gradient(
+    -45deg,
+    rgba(255, 255, 255, 0.2) 25%,
+    transparent 25%,
+    transparent 50%,
+    rgba(255, 255, 255, 0.2) 50%,
+    rgba(255, 255, 255, 0.2) 75%,
+    transparent 75%,
+    transparent
+  );
+  background-size: 40px 40px;
+  float: left;
+  width: 0%;
+  height: 100%;
+  font-size: 12px;
+  line-height: 14px;
+  color: #fff;
+  text-align: center;
+  animation: jp-Statusbar-ExecutionTime-progress-bar 2s linear infinite;
+}
+
+.jp-Statusbar-ProgressBar-progress-bar p {
+  color: var(--jp-ui-font-color1);
+  font-family: var(--jp-ui-font-family);
+  font-size: var(--jp-ui-font-size1);
+  line-height: 10px;
+  width: 100px;
+}
+
+@keyframes jp-Statusbar-ExecutionTime-progress-bar {
+  0% {
+    background-position: 0 0;
+  }
+
+  100% {
+    background-position: 40px 40px;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-commandpalette-search-height: 28px;
+}
+
+/*-----------------------------------------------------------------------------
+| Overall styles
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette {
+  padding-bottom: 0;
+  color: var(--jp-ui-font-color1);
+  background: var(--jp-layout-color1);
+
+  /* This is needed so that all font sizing of children done in ems is
+   * relative to this base size */
+  font-size: var(--jp-ui-font-size1);
+}
+
+/*-----------------------------------------------------------------------------
+| Modal variant
+|----------------------------------------------------------------------------*/
+
+.jp-ModalCommandPalette {
+  position: absolute;
+  z-index: 10000;
+  top: 38px;
+  left: 30%;
+  margin: 0;
+  padding: 4px;
+  width: 40%;
+  box-shadow: var(--jp-elevation-z4);
+  border-radius: 4px;
+  background: var(--jp-layout-color0);
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette {
+  max-height: 40vh;
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette .lm-close-icon::after {
+  display: none;
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette .lm-CommandPalette-header {
+  display: none;
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette .lm-CommandPalette-item {
+  margin-left: 4px;
+  margin-right: 4px;
+}
+
+.jp-ModalCommandPalette
+  .lm-CommandPalette
+  .lm-CommandPalette-item.lm-mod-disabled {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Search
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette-search {
+  padding: 4px;
+  background-color: var(--jp-layout-color1);
+  z-index: 2;
+}
+
+.lm-CommandPalette-wrapper {
+  overflow: overlay;
+  padding: 0 9px;
+  background-color: var(--jp-input-active-background);
+  height: 30px;
+  box-shadow: inset 0 0 0 var(--jp-border-width) var(--jp-input-border-color);
+}
+
+.lm-CommandPalette.lm-mod-focused .lm-CommandPalette-wrapper {
+  box-shadow: inset 0 0 0 1px var(--jp-input-active-box-shadow-color),
+    inset 0 0 0 3px var(--jp-input-active-box-shadow-color);
+}
+
+.jp-SearchIconGroup {
+  color: white;
+  background-color: var(--jp-brand-color1);
+  position: absolute;
+  top: 4px;
+  right: 4px;
+  padding: 5px 5px 1px;
+}
+
+.jp-SearchIconGroup svg {
+  height: 20px;
+  width: 20px;
+}
+
+.jp-SearchIconGroup .jp-icon3[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.lm-CommandPalette-input {
+  background: transparent;
+  width: calc(100% - 18px);
+  float: left;
+  border: none;
+  outline: none;
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color0);
+  line-height: var(--jp-private-commandpalette-search-height);
+}
+
+.lm-CommandPalette-input::-webkit-input-placeholder,
+.lm-CommandPalette-input::-moz-placeholder,
+.lm-CommandPalette-input:-ms-input-placeholder {
+  color: var(--jp-ui-font-color2);
+  font-size: var(--jp-ui-font-size1);
+}
+
+/*-----------------------------------------------------------------------------
+| Results
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette-header:first-child {
+  margin-top: 0;
+}
+
+.lm-CommandPalette-header {
+  border-bottom: solid var(--jp-border-width) var(--jp-border-color2);
+  color: var(--jp-ui-font-color1);
+  cursor: pointer;
+  display: flex;
+  font-size: var(--jp-ui-font-size0);
+  font-weight: 600;
+  letter-spacing: 1px;
+  margin-top: 8px;
+  padding: 8px 0 8px 12px;
+  text-transform: uppercase;
+}
+
+.lm-CommandPalette-header.lm-mod-active {
+  background: var(--jp-layout-color2);
+}
+
+.lm-CommandPalette-header > mark {
+  background-color: transparent;
+  font-weight: bold;
+  color: var(--jp-ui-font-color1);
+}
+
+.lm-CommandPalette-item {
+  padding: 4px 12px 4px 4px;
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  font-weight: 400;
+  display: flex;
+}
+
+.lm-CommandPalette-item.lm-mod-disabled {
+  color: var(--jp-ui-font-color2);
+}
+
+.lm-CommandPalette-item.lm-mod-active {
+  color: var(--jp-ui-inverse-font-color1);
+  background: var(--jp-brand-color1);
+}
+
+.lm-CommandPalette-item.lm-mod-active .lm-CommandPalette-itemLabel > mark {
+  color: var(--jp-ui-inverse-font-color0);
+}
+
+.lm-CommandPalette-item.lm-mod-active .jp-icon-selectable[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.lm-CommandPalette-item.lm-mod-active:hover:not(.lm-mod-disabled) {
+  color: var(--jp-ui-inverse-font-color1);
+  background: var(--jp-brand-color1);
+}
+
+.lm-CommandPalette-item:hover:not(.lm-mod-active):not(.lm-mod-disabled) {
+  background: var(--jp-layout-color2);
+}
+
+.lm-CommandPalette-itemContent {
+  overflow: hidden;
+}
+
+.lm-CommandPalette-itemLabel > mark {
+  color: var(--jp-ui-font-color0);
+  background-color: transparent;
+  font-weight: bold;
+}
+
+.lm-CommandPalette-item.lm-mod-disabled mark {
+  color: var(--jp-ui-font-color2);
+}
+
+.lm-CommandPalette-item .lm-CommandPalette-itemIcon {
+  margin: 0 4px 0 0;
+  position: relative;
+  width: 16px;
+  top: 2px;
+  flex: 0 0 auto;
+}
+
+.lm-CommandPalette-item.lm-mod-disabled .lm-CommandPalette-itemIcon {
+  opacity: 0.6;
+}
+
+.lm-CommandPalette-item .lm-CommandPalette-itemShortcut {
+  flex: 0 0 auto;
+}
+
+.lm-CommandPalette-itemCaption {
+  display: none;
+}
+
+.lm-CommandPalette-content {
+  background-color: var(--jp-layout-color1);
+}
+
+.lm-CommandPalette-content:empty::after {
+  content: 'No results';
+  margin: auto;
+  margin-top: 20px;
+  width: 100px;
+  display: block;
+  font-size: var(--jp-ui-font-size2);
+  font-family: var(--jp-ui-font-family);
+  font-weight: lighter;
+}
+
+.lm-CommandPalette-emptyMessage {
+  text-align: center;
+  margin-top: 24px;
+  line-height: 1.32;
+  padding: 0 8px;
+  color: var(--jp-content-font-color3);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Dialog {
+  position: absolute;
+  z-index: 10000;
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  justify-content: center;
+  top: 0;
+  left: 0;
+  margin: 0;
+  padding: 0;
+  width: 100%;
+  height: 100%;
+  background: var(--jp-dialog-background);
+}
+
+.jp-Dialog-content {
+  display: flex;
+  flex-direction: column;
+  margin-left: auto;
+  margin-right: auto;
+  background: var(--jp-layout-color1);
+  padding: 24px 24px 12px;
+  min-width: 300px;
+  min-height: 150px;
+  max-width: 1000px;
+  max-height: 500px;
+  box-sizing: border-box;
+  box-shadow: var(--jp-elevation-z20);
+  word-wrap: break-word;
+  border-radius: var(--jp-border-radius);
+
+  /* This is needed so that all font sizing of children done in ems is
+   * relative to this base size */
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color1);
+  resize: both;
+}
+
+.jp-Dialog-content.jp-Dialog-content-small {
+  max-width: 500px;
+}
+
+.jp-Dialog-button {
+  overflow: visible;
+}
+
+button.jp-Dialog-button:focus {
+  outline: 1px solid var(--jp-brand-color1);
+  outline-offset: 4px;
+  -moz-outline-radius: 0;
+}
+
+button.jp-Dialog-button:focus::-moz-focus-inner {
+  border: 0;
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-accept:focus,
+button.jp-Dialog-button.jp-mod-styled.jp-mod-warn:focus,
+button.jp-Dialog-button.jp-mod-styled.jp-mod-reject:focus {
+  outline-offset: 4px;
+  -moz-outline-radius: 0;
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-accept:focus {
+  outline: 1px solid var(--jp-accept-color-normal, var(--jp-brand-color1));
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-warn:focus {
+  outline: 1px solid var(--jp-warn-color-normal, var(--jp-error-color1));
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-reject:focus {
+  outline: 1px solid var(--jp-reject-color-normal, var(--md-grey-600));
+}
+
+button.jp-Dialog-close-button {
+  padding: 0;
+  height: 100%;
+  min-width: unset;
+  min-height: unset;
+}
+
+.jp-Dialog-header {
+  display: flex;
+  justify-content: space-between;
+  flex: 0 0 auto;
+  padding-bottom: 12px;
+  font-size: var(--jp-ui-font-size3);
+  font-weight: 400;
+  color: var(--jp-ui-font-color1);
+}
+
+.jp-Dialog-body {
+  display: flex;
+  flex-direction: column;
+  flex: 1 1 auto;
+  font-size: var(--jp-ui-font-size1);
+  background: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  overflow: auto;
+}
+
+.jp-Dialog-footer {
+  display: flex;
+  flex-direction: row;
+  justify-content: flex-end;
+  align-items: center;
+  flex: 0 0 auto;
+  margin-left: -12px;
+  margin-right: -12px;
+  padding: 12px;
+}
+
+.jp-Dialog-checkbox {
+  padding-right: 5px;
+}
+
+.jp-Dialog-checkbox > input:focus-visible {
+  outline: 1px solid var(--jp-input-active-border-color);
+  outline-offset: 1px;
+}
+
+.jp-Dialog-spacer {
+  flex: 1 1 auto;
+}
+
+.jp-Dialog-title {
+  overflow: hidden;
+  white-space: nowrap;
+  text-overflow: ellipsis;
+}
+
+.jp-Dialog-body > .jp-select-wrapper {
+  width: 100%;
+}
+
+.jp-Dialog-body > button {
+  padding: 0 16px;
+}
+
+.jp-Dialog-body > label {
+  line-height: 1.4;
+  color: var(--jp-ui-font-color0);
+}
+
+.jp-Dialog-button.jp-mod-styled:not(:last-child) {
+  margin-right: 12px;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-Input-Boolean-Dialog {
+  flex-direction: row-reverse;
+  align-items: end;
+  width: 100%;
+}
+
+.jp-Input-Boolean-Dialog > label {
+  flex: 1 1 auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-MainAreaWidget > :focus {
+  outline: none;
+}
+
+.jp-MainAreaWidget .jp-MainAreaWidget-error {
+  padding: 6px;
+}
+
+.jp-MainAreaWidget .jp-MainAreaWidget-error > pre {
+  width: auto;
+  padding: 10px;
+  background: var(--jp-error-color3);
+  border: var(--jp-border-width) solid var(--jp-error-color1);
+  border-radius: var(--jp-border-radius);
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  white-space: pre-wrap;
+  word-wrap: break-word;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/**
+ * google-material-color v1.2.6
+ * https://github.com/danlevan/google-material-color
+ */
+:root {
+  --md-red-50: #ffebee;
+  --md-red-100: #ffcdd2;
+  --md-red-200: #ef9a9a;
+  --md-red-300: #e57373;
+  --md-red-400: #ef5350;
+  --md-red-500: #f44336;
+  --md-red-600: #e53935;
+  --md-red-700: #d32f2f;
+  --md-red-800: #c62828;
+  --md-red-900: #b71c1c;
+  --md-red-A100: #ff8a80;
+  --md-red-A200: #ff5252;
+  --md-red-A400: #ff1744;
+  --md-red-A700: #d50000;
+  --md-pink-50: #fce4ec;
+  --md-pink-100: #f8bbd0;
+  --md-pink-200: #f48fb1;
+  --md-pink-300: #f06292;
+  --md-pink-400: #ec407a;
+  --md-pink-500: #e91e63;
+  --md-pink-600: #d81b60;
+  --md-pink-700: #c2185b;
+  --md-pink-800: #ad1457;
+  --md-pink-900: #880e4f;
+  --md-pink-A100: #ff80ab;
+  --md-pink-A200: #ff4081;
+  --md-pink-A400: #f50057;
+  --md-pink-A700: #c51162;
+  --md-purple-50: #f3e5f5;
+  --md-purple-100: #e1bee7;
+  --md-purple-200: #ce93d8;
+  --md-purple-300: #ba68c8;
+  --md-purple-400: #ab47bc;
+  --md-purple-500: #9c27b0;
+  --md-purple-600: #8e24aa;
+  --md-purple-700: #7b1fa2;
+  --md-purple-800: #6a1b9a;
+  --md-purple-900: #4a148c;
+  --md-purple-A100: #ea80fc;
+  --md-purple-A200: #e040fb;
+  --md-purple-A400: #d500f9;
+  --md-purple-A700: #a0f;
+  --md-deep-purple-50: #ede7f6;
+  --md-deep-purple-100: #d1c4e9;
+  --md-deep-purple-200: #b39ddb;
+  --md-deep-purple-300: #9575cd;
+  --md-deep-purple-400: #7e57c2;
+  --md-deep-purple-500: #673ab7;
+  --md-deep-purple-600: #5e35b1;
+  --md-deep-purple-700: #512da8;
+  --md-deep-purple-800: #4527a0;
+  --md-deep-purple-900: #311b92;
+  --md-deep-purple-A100: #b388ff;
+  --md-deep-purple-A200: #7c4dff;
+  --md-deep-purple-A400: #651fff;
+  --md-deep-purple-A700: #6200ea;
+  --md-indigo-50: #e8eaf6;
+  --md-indigo-100: #c5cae9;
+  --md-indigo-200: #9fa8da;
+  --md-indigo-300: #7986cb;
+  --md-indigo-400: #5c6bc0;
+  --md-indigo-500: #3f51b5;
+  --md-indigo-600: #3949ab;
+  --md-indigo-700: #303f9f;
+  --md-indigo-800: #283593;
+  --md-indigo-900: #1a237e;
+  --md-indigo-A100: #8c9eff;
+  --md-indigo-A200: #536dfe;
+  --md-indigo-A400: #3d5afe;
+  --md-indigo-A700: #304ffe;
+  --md-blue-50: #e3f2fd;
+  --md-blue-100: #bbdefb;
+  --md-blue-200: #90caf9;
+  --md-blue-300: #64b5f6;
+  --md-blue-400: #42a5f5;
+  --md-blue-500: #2196f3;
+  --md-blue-600: #1e88e5;
+  --md-blue-700: #1976d2;
+  --md-blue-800: #1565c0;
+  --md-blue-900: #0d47a1;
+  --md-blue-A100: #82b1ff;
+  --md-blue-A200: #448aff;
+  --md-blue-A400: #2979ff;
+  --md-blue-A700: #2962ff;
+  --md-light-blue-50: #e1f5fe;
+  --md-light-blue-100: #b3e5fc;
+  --md-light-blue-200: #81d4fa;
+  --md-light-blue-300: #4fc3f7;
+  --md-light-blue-400: #29b6f6;
+  --md-light-blue-500: #03a9f4;
+  --md-light-blue-600: #039be5;
+  --md-light-blue-700: #0288d1;
+  --md-light-blue-800: #0277bd;
+  --md-light-blue-900: #01579b;
+  --md-light-blue-A100: #80d8ff;
+  --md-light-blue-A200: #40c4ff;
+  --md-light-blue-A400: #00b0ff;
+  --md-light-blue-A700: #0091ea;
+  --md-cyan-50: #e0f7fa;
+  --md-cyan-100: #b2ebf2;
+  --md-cyan-200: #80deea;
+  --md-cyan-300: #4dd0e1;
+  --md-cyan-400: #26c6da;
+  --md-cyan-500: #00bcd4;
+  --md-cyan-600: #00acc1;
+  --md-cyan-700: #0097a7;
+  --md-cyan-800: #00838f;
+  --md-cyan-900: #006064;
+  --md-cyan-A100: #84ffff;
+  --md-cyan-A200: #18ffff;
+  --md-cyan-A400: #00e5ff;
+  --md-cyan-A700: #00b8d4;
+  --md-teal-50: #e0f2f1;
+  --md-teal-100: #b2dfdb;
+  --md-teal-200: #80cbc4;
+  --md-teal-300: #4db6ac;
+  --md-teal-400: #26a69a;
+  --md-teal-500: #009688;
+  --md-teal-600: #00897b;
+  --md-teal-700: #00796b;
+  --md-teal-800: #00695c;
+  --md-teal-900: #004d40;
+  --md-teal-A100: #a7ffeb;
+  --md-teal-A200: #64ffda;
+  --md-teal-A400: #1de9b6;
+  --md-teal-A700: #00bfa5;
+  --md-green-50: #e8f5e9;
+  --md-green-100: #c8e6c9;
+  --md-green-200: #a5d6a7;
+  --md-green-300: #81c784;
+  --md-green-400: #66bb6a;
+  --md-green-500: #4caf50;
+  --md-green-600: #43a047;
+  --md-green-700: #388e3c;
+  --md-green-800: #2e7d32;
+  --md-green-900: #1b5e20;
+  --md-green-A100: #b9f6ca;
+  --md-green-A200: #69f0ae;
+  --md-green-A400: #00e676;
+  --md-green-A700: #00c853;
+  --md-light-green-50: #f1f8e9;
+  --md-light-green-100: #dcedc8;
+  --md-light-green-200: #c5e1a5;
+  --md-light-green-300: #aed581;
+  --md-light-green-400: #9ccc65;
+  --md-light-green-500: #8bc34a;
+  --md-light-green-600: #7cb342;
+  --md-light-green-700: #689f38;
+  --md-light-green-800: #558b2f;
+  --md-light-green-900: #33691e;
+  --md-light-green-A100: #ccff90;
+  --md-light-green-A200: #b2ff59;
+  --md-light-green-A400: #76ff03;
+  --md-light-green-A700: #64dd17;
+  --md-lime-50: #f9fbe7;
+  --md-lime-100: #f0f4c3;
+  --md-lime-200: #e6ee9c;
+  --md-lime-300: #dce775;
+  --md-lime-400: #d4e157;
+  --md-lime-500: #cddc39;
+  --md-lime-600: #c0ca33;
+  --md-lime-700: #afb42b;
+  --md-lime-800: #9e9d24;
+  --md-lime-900: #827717;
+  --md-lime-A100: #f4ff81;
+  --md-lime-A200: #eeff41;
+  --md-lime-A400: #c6ff00;
+  --md-lime-A700: #aeea00;
+  --md-yellow-50: #fffde7;
+  --md-yellow-100: #fff9c4;
+  --md-yellow-200: #fff59d;
+  --md-yellow-300: #fff176;
+  --md-yellow-400: #ffee58;
+  --md-yellow-500: #ffeb3b;
+  --md-yellow-600: #fdd835;
+  --md-yellow-700: #fbc02d;
+  --md-yellow-800: #f9a825;
+  --md-yellow-900: #f57f17;
+  --md-yellow-A100: #ffff8d;
+  --md-yellow-A200: #ff0;
+  --md-yellow-A400: #ffea00;
+  --md-yellow-A700: #ffd600;
+  --md-amber-50: #fff8e1;
+  --md-amber-100: #ffecb3;
+  --md-amber-200: #ffe082;
+  --md-amber-300: #ffd54f;
+  --md-amber-400: #ffca28;
+  --md-amber-500: #ffc107;
+  --md-amber-600: #ffb300;
+  --md-amber-700: #ffa000;
+  --md-amber-800: #ff8f00;
+  --md-amber-900: #ff6f00;
+  --md-amber-A100: #ffe57f;
+  --md-amber-A200: #ffd740;
+  --md-amber-A400: #ffc400;
+  --md-amber-A700: #ffab00;
+  --md-orange-50: #fff3e0;
+  --md-orange-100: #ffe0b2;
+  --md-orange-200: #ffcc80;
+  --md-orange-300: #ffb74d;
+  --md-orange-400: #ffa726;
+  --md-orange-500: #ff9800;
+  --md-orange-600: #fb8c00;
+  --md-orange-700: #f57c00;
+  --md-orange-800: #ef6c00;
+  --md-orange-900: #e65100;
+  --md-orange-A100: #ffd180;
+  --md-orange-A200: #ffab40;
+  --md-orange-A400: #ff9100;
+  --md-orange-A700: #ff6d00;
+  --md-deep-orange-50: #fbe9e7;
+  --md-deep-orange-100: #ffccbc;
+  --md-deep-orange-200: #ffab91;
+  --md-deep-orange-300: #ff8a65;
+  --md-deep-orange-400: #ff7043;
+  --md-deep-orange-500: #ff5722;
+  --md-deep-orange-600: #f4511e;
+  --md-deep-orange-700: #e64a19;
+  --md-deep-orange-800: #d84315;
+  --md-deep-orange-900: #bf360c;
+  --md-deep-orange-A100: #ff9e80;
+  --md-deep-orange-A200: #ff6e40;
+  --md-deep-orange-A400: #ff3d00;
+  --md-deep-orange-A700: #dd2c00;
+  --md-brown-50: #efebe9;
+  --md-brown-100: #d7ccc8;
+  --md-brown-200: #bcaaa4;
+  --md-brown-300: #a1887f;
+  --md-brown-400: #8d6e63;
+  --md-brown-500: #795548;
+  --md-brown-600: #6d4c41;
+  --md-brown-700: #5d4037;
+  --md-brown-800: #4e342e;
+  --md-brown-900: #3e2723;
+  --md-grey-50: #fafafa;
+  --md-grey-100: #f5f5f5;
+  --md-grey-200: #eee;
+  --md-grey-300: #e0e0e0;
+  --md-grey-400: #bdbdbd;
+  --md-grey-500: #9e9e9e;
+  --md-grey-600: #757575;
+  --md-grey-700: #616161;
+  --md-grey-800: #424242;
+  --md-grey-900: #212121;
+  --md-blue-grey-50: #eceff1;
+  --md-blue-grey-100: #cfd8dc;
+  --md-blue-grey-200: #b0bec5;
+  --md-blue-grey-300: #90a4ae;
+  --md-blue-grey-400: #78909c;
+  --md-blue-grey-500: #607d8b;
+  --md-blue-grey-600: #546e7a;
+  --md-blue-grey-700: #455a64;
+  --md-blue-grey-800: #37474f;
+  --md-blue-grey-900: #263238;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| RenderedText
+|----------------------------------------------------------------------------*/
+
+:root {
+  /* This is the padding value to fill the gaps between lines containing spans with background color. */
+  --jp-private-code-span-padding: calc(
+    (var(--jp-code-line-height) - 1) * var(--jp-code-font-size) / 2
+  );
+}
+
+.jp-RenderedText {
+  text-align: left;
+  padding-left: var(--jp-code-padding);
+  line-height: var(--jp-code-line-height);
+  font-family: var(--jp-code-font-family);
+}
+
+.jp-RenderedText pre,
+.jp-RenderedJavaScript pre,
+.jp-RenderedHTMLCommon pre {
+  color: var(--jp-content-font-color1);
+  font-size: var(--jp-code-font-size);
+  border: none;
+  margin: 0;
+  padding: 0;
+}
+
+.jp-RenderedText pre a:link {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+.jp-RenderedText pre a:hover {
+  text-decoration: underline;
+  color: var(--jp-content-link-color);
+}
+
+.jp-RenderedText pre a:visited {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+/* console foregrounds and backgrounds */
+.jp-RenderedText pre .ansi-black-fg {
+  color: #3e424d;
+}
+
+.jp-RenderedText pre .ansi-red-fg {
+  color: #e75c58;
+}
+
+.jp-RenderedText pre .ansi-green-fg {
+  color: #00a250;
+}
+
+.jp-RenderedText pre .ansi-yellow-fg {
+  color: #ddb62b;
+}
+
+.jp-RenderedText pre .ansi-blue-fg {
+  color: #208ffb;
+}
+
+.jp-RenderedText pre .ansi-magenta-fg {
+  color: #d160c4;
+}
+
+.jp-RenderedText pre .ansi-cyan-fg {
+  color: #60c6c8;
+}
+
+.jp-RenderedText pre .ansi-white-fg {
+  color: #c5c1b4;
+}
+
+.jp-RenderedText pre .ansi-black-bg {
+  background-color: #3e424d;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-red-bg {
+  background-color: #e75c58;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-green-bg {
+  background-color: #00a250;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-yellow-bg {
+  background-color: #ddb62b;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-blue-bg {
+  background-color: #208ffb;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-magenta-bg {
+  background-color: #d160c4;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-cyan-bg {
+  background-color: #60c6c8;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-white-bg {
+  background-color: #c5c1b4;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-black-intense-fg {
+  color: #282c36;
+}
+
+.jp-RenderedText pre .ansi-red-intense-fg {
+  color: #b22b31;
+}
+
+.jp-RenderedText pre .ansi-green-intense-fg {
+  color: #007427;
+}
+
+.jp-RenderedText pre .ansi-yellow-intense-fg {
+  color: #b27d12;
+}
+
+.jp-RenderedText pre .ansi-blue-intense-fg {
+  color: #0065ca;
+}
+
+.jp-RenderedText pre .ansi-magenta-intense-fg {
+  color: #a03196;
+}
+
+.jp-RenderedText pre .ansi-cyan-intense-fg {
+  color: #258f8f;
+}
+
+.jp-RenderedText pre .ansi-white-intense-fg {
+  color: #a1a6b2;
+}
+
+.jp-RenderedText pre .ansi-black-intense-bg {
+  background-color: #282c36;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-red-intense-bg {
+  background-color: #b22b31;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-green-intense-bg {
+  background-color: #007427;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-yellow-intense-bg {
+  background-color: #b27d12;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-blue-intense-bg {
+  background-color: #0065ca;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-magenta-intense-bg {
+  background-color: #a03196;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-cyan-intense-bg {
+  background-color: #258f8f;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-white-intense-bg {
+  background-color: #a1a6b2;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-default-inverse-fg {
+  color: var(--jp-ui-inverse-font-color0);
+}
+
+.jp-RenderedText pre .ansi-default-inverse-bg {
+  background-color: var(--jp-inverse-layout-color0);
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-bold {
+  font-weight: bold;
+}
+
+.jp-RenderedText pre .ansi-underline {
+  text-decoration: underline;
+}
+
+.jp-RenderedText[data-mime-type='application/vnd.jupyter.stderr'] {
+  background: var(--jp-rendermime-error-background);
+  padding-top: var(--jp-code-padding);
+}
+
+/*-----------------------------------------------------------------------------
+| RenderedLatex
+|----------------------------------------------------------------------------*/
+
+.jp-RenderedLatex {
+  color: var(--jp-content-font-color1);
+  font-size: var(--jp-content-font-size1);
+  line-height: var(--jp-content-line-height);
+}
+
+/* Left-justify outputs.*/
+.jp-OutputArea-output.jp-RenderedLatex {
+  padding: var(--jp-code-padding);
+  text-align: left;
+}
+
+/*-----------------------------------------------------------------------------
+| RenderedHTML
+|----------------------------------------------------------------------------*/
+
+.jp-RenderedHTMLCommon {
+  color: var(--jp-content-font-color1);
+  font-family: var(--jp-content-font-family);
+  font-size: var(--jp-content-font-size1);
+  line-height: var(--jp-content-line-height);
+
+  /* Give a bit more R padding on Markdown text to keep line lengths reasonable */
+  padding-right: 20px;
+}
+
+.jp-RenderedHTMLCommon em {
+  font-style: italic;
+}
+
+.jp-RenderedHTMLCommon strong {
+  font-weight: bold;
+}
+
+.jp-RenderedHTMLCommon u {
+  text-decoration: underline;
+}
+
+.jp-RenderedHTMLCommon a:link {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+.jp-RenderedHTMLCommon a:hover {
+  text-decoration: underline;
+  color: var(--jp-content-link-color);
+}
+
+.jp-RenderedHTMLCommon a:visited {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+/* Headings */
+
+.jp-RenderedHTMLCommon h1,
+.jp-RenderedHTMLCommon h2,
+.jp-RenderedHTMLCommon h3,
+.jp-RenderedHTMLCommon h4,
+.jp-RenderedHTMLCommon h5,
+.jp-RenderedHTMLCommon h6 {
+  line-height: var(--jp-content-heading-line-height);
+  font-weight: var(--jp-content-heading-font-weight);
+  font-style: normal;
+  margin: var(--jp-content-heading-margin-top) 0
+    var(--jp-content-heading-margin-bottom) 0;
+}
+
+.jp-RenderedHTMLCommon h1:first-child,
+.jp-RenderedHTMLCommon h2:first-child,
+.jp-RenderedHTMLCommon h3:first-child,
+.jp-RenderedHTMLCommon h4:first-child,
+.jp-RenderedHTMLCommon h5:first-child,
+.jp-RenderedHTMLCommon h6:first-child {
+  margin-top: calc(0.5 * var(--jp-content-heading-margin-top));
+}
+
+.jp-RenderedHTMLCommon h1:last-child,
+.jp-RenderedHTMLCommon h2:last-child,
+.jp-RenderedHTMLCommon h3:last-child,
+.jp-RenderedHTMLCommon h4:last-child,
+.jp-RenderedHTMLCommon h5:last-child,
+.jp-RenderedHTMLCommon h6:last-child {
+  margin-bottom: calc(0.5 * var(--jp-content-heading-margin-bottom));
+}
+
+.jp-RenderedHTMLCommon h1 {
+  font-size: var(--jp-content-font-size5);
+}
+
+.jp-RenderedHTMLCommon h2 {
+  font-size: var(--jp-content-font-size4);
+}
+
+.jp-RenderedHTMLCommon h3 {
+  font-size: var(--jp-content-font-size3);
+}
+
+.jp-RenderedHTMLCommon h4 {
+  font-size: var(--jp-content-font-size2);
+}
+
+.jp-RenderedHTMLCommon h5 {
+  font-size: var(--jp-content-font-size1);
+}
+
+.jp-RenderedHTMLCommon h6 {
+  font-size: var(--jp-content-font-size0);
+}
+
+/* Lists */
+
+/* stylelint-disable selector-max-type, selector-max-compound-selectors */
+
+.jp-RenderedHTMLCommon ul:not(.list-inline),
+.jp-RenderedHTMLCommon ol:not(.list-inline) {
+  padding-left: 2em;
+}
+
+.jp-RenderedHTMLCommon ul {
+  list-style: disc;
+}
+
+.jp-RenderedHTMLCommon ul ul {
+  list-style: square;
+}
+
+.jp-RenderedHTMLCommon ul ul ul {
+  list-style: circle;
+}
+
+.jp-RenderedHTMLCommon ol {
+  list-style: decimal;
+}
+
+.jp-RenderedHTMLCommon ol ol {
+  list-style: upper-alpha;
+}
+
+.jp-RenderedHTMLCommon ol ol ol {
+  list-style: lower-alpha;
+}
+
+.jp-RenderedHTMLCommon ol ol ol ol {
+  list-style: lower-roman;
+}
+
+.jp-RenderedHTMLCommon ol ol ol ol ol {
+  list-style: decimal;
+}
+
+.jp-RenderedHTMLCommon ol,
+.jp-RenderedHTMLCommon ul {
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon ul ul,
+.jp-RenderedHTMLCommon ul ol,
+.jp-RenderedHTMLCommon ol ul,
+.jp-RenderedHTMLCommon ol ol {
+  margin-bottom: 0;
+}
+
+/* stylelint-enable selector-max-type, selector-max-compound-selectors */
+
+.jp-RenderedHTMLCommon hr {
+  color: var(--jp-border-color2);
+  background-color: var(--jp-border-color1);
+  margin-top: 1em;
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon > pre {
+  margin: 1.5em 2em;
+}
+
+.jp-RenderedHTMLCommon pre,
+.jp-RenderedHTMLCommon code {
+  border: 0;
+  background-color: var(--jp-layout-color0);
+  color: var(--jp-content-font-color1);
+  font-family: var(--jp-code-font-family);
+  font-size: inherit;
+  line-height: var(--jp-code-line-height);
+  padding: 0;
+  white-space: pre-wrap;
+}
+
+.jp-RenderedHTMLCommon :not(pre) > code {
+  background-color: var(--jp-layout-color2);
+  padding: 1px 5px;
+}
+
+/* Tables */
+
+.jp-RenderedHTMLCommon table {
+  border-collapse: collapse;
+  border-spacing: 0;
+  border: none;
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  table-layout: fixed;
+  margin-left: auto;
+  margin-bottom: 1em;
+  margin-right: auto;
+}
+
+.jp-RenderedHTMLCommon thead {
+  border-bottom: var(--jp-border-width) solid var(--jp-border-color1);
+  vertical-align: bottom;
+}
+
+.jp-RenderedHTMLCommon td,
+.jp-RenderedHTMLCommon th,
+.jp-RenderedHTMLCommon tr {
+  vertical-align: middle;
+  padding: 0.5em;
+  line-height: normal;
+  white-space: normal;
+  max-width: none;
+  border: none;
+}
+
+.jp-RenderedMarkdown.jp-RenderedHTMLCommon td,
+.jp-RenderedMarkdown.jp-RenderedHTMLCommon th {
+  max-width: none;
+}
+
+:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon td,
+:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon th,
+:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon tr {
+  text-align: right;
+}
+
+.jp-RenderedHTMLCommon th {
+  font-weight: bold;
+}
+
+.jp-RenderedHTMLCommon tbody tr:nth-child(odd) {
+  background: var(--jp-layout-color0);
+}
+
+.jp-RenderedHTMLCommon tbody tr:nth-child(even) {
+  background: var(--jp-rendermime-table-row-background);
+}
+
+.jp-RenderedHTMLCommon tbody tr:hover {
+  background: var(--jp-rendermime-table-row-hover-background);
+}
+
+.jp-RenderedHTMLCommon p {
+  text-align: left;
+  margin: 0;
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon img {
+  -moz-force-broken-image-icon: 1;
+}
+
+/* Restrict to direct children as other images could be nested in other content. */
+.jp-RenderedHTMLCommon > img {
+  display: block;
+  margin-left: 0;
+  margin-right: 0;
+  margin-bottom: 1em;
+}
+
+/* Change color behind transparent images if they need it... */
+[data-jp-theme-light='false'] .jp-RenderedImage img.jp-needs-light-background {
+  background-color: var(--jp-inverse-layout-color1);
+}
+
+[data-jp-theme-light='true'] .jp-RenderedImage img.jp-needs-dark-background {
+  background-color: var(--jp-inverse-layout-color1);
+}
+
+.jp-RenderedHTMLCommon img,
+.jp-RenderedImage img,
+.jp-RenderedHTMLCommon svg,
+.jp-RenderedSVG svg {
+  max-width: 100%;
+  height: auto;
+}
+
+.jp-RenderedHTMLCommon img.jp-mod-unconfined,
+.jp-RenderedImage img.jp-mod-unconfined,
+.jp-RenderedHTMLCommon svg.jp-mod-unconfined,
+.jp-RenderedSVG svg.jp-mod-unconfined {
+  max-width: none;
+}
+
+.jp-RenderedHTMLCommon .alert {
+  padding: var(--jp-notebook-padding);
+  border: var(--jp-border-width) solid transparent;
+  border-radius: var(--jp-border-radius);
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon .alert-info {
+  color: var(--jp-info-color0);
+  background-color: var(--jp-info-color3);
+  border-color: var(--jp-info-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-info hr {
+  border-color: var(--jp-info-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-info > p:last-child,
+.jp-RenderedHTMLCommon .alert-info > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon .alert-warning {
+  color: var(--jp-warn-color0);
+  background-color: var(--jp-warn-color3);
+  border-color: var(--jp-warn-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-warning hr {
+  border-color: var(--jp-warn-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-warning > p:last-child,
+.jp-RenderedHTMLCommon .alert-warning > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon .alert-success {
+  color: var(--jp-success-color0);
+  background-color: var(--jp-success-color3);
+  border-color: var(--jp-success-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-success hr {
+  border-color: var(--jp-success-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-success > p:last-child,
+.jp-RenderedHTMLCommon .alert-success > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon .alert-danger {
+  color: var(--jp-error-color0);
+  background-color: var(--jp-error-color3);
+  border-color: var(--jp-error-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-danger hr {
+  border-color: var(--jp-error-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-danger > p:last-child,
+.jp-RenderedHTMLCommon .alert-danger > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon blockquote {
+  margin: 1em 2em;
+  padding: 0 1em;
+  border-left: 5px solid var(--jp-border-color2);
+}
+
+a.jp-InternalAnchorLink {
+  visibility: hidden;
+  margin-left: 8px;
+  color: var(--md-blue-800);
+}
+
+h1:hover .jp-InternalAnchorLink,
+h2:hover .jp-InternalAnchorLink,
+h3:hover .jp-InternalAnchorLink,
+h4:hover .jp-InternalAnchorLink,
+h5:hover .jp-InternalAnchorLink,
+h6:hover .jp-InternalAnchorLink {
+  visibility: visible;
+}
+
+.jp-RenderedHTMLCommon kbd {
+  background-color: var(--jp-rendermime-table-row-background);
+  border: 1px solid var(--jp-border-color0);
+  border-bottom-color: var(--jp-border-color2);
+  border-radius: 3px;
+  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.25);
+  display: inline-block;
+  font-size: var(--jp-ui-font-size0);
+  line-height: 1em;
+  padding: 0.2em 0.5em;
+}
+
+/* Most direct children of .jp-RenderedHTMLCommon have a margin-bottom of 1.0.
+ * At the bottom of cells this is a bit too much as there is also spacing
+ * between cells. Going all the way to 0 gets too tight between markdown and
+ * code cells.
+ */
+.jp-RenderedHTMLCommon > *:last-child {
+  margin-bottom: 0.5em;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-cursor-backdrop {
+  position: fixed;
+  width: 200px;
+  height: 200px;
+  margin-top: -100px;
+  margin-left: -100px;
+  will-change: transform;
+  z-index: 100;
+}
+
+.lm-mod-drag-image {
+  will-change: transform;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-lineFormSearch {
+  padding: 4px 12px;
+  background-color: var(--jp-layout-color2);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  z-index: 2;
+  font-size: var(--jp-ui-font-size1);
+}
+
+.jp-lineFormCaption {
+  font-size: var(--jp-ui-font-size0);
+  line-height: var(--jp-ui-font-size1);
+  margin-top: 4px;
+  color: var(--jp-ui-font-color0);
+}
+
+.jp-baseLineForm {
+  border: none;
+  border-radius: 0;
+  position: absolute;
+  background-size: 16px;
+  background-repeat: no-repeat;
+  background-position: center;
+  outline: none;
+}
+
+.jp-lineFormButtonContainer {
+  top: 4px;
+  right: 8px;
+  height: 24px;
+  padding: 0 12px;
+  width: 12px;
+}
+
+.jp-lineFormButtonIcon {
+  top: 0;
+  right: 0;
+  background-color: var(--jp-brand-color1);
+  height: 100%;
+  width: 100%;
+  box-sizing: border-box;
+  padding: 4px 6px;
+}
+
+.jp-lineFormButton {
+  top: 0;
+  right: 0;
+  background-color: transparent;
+  height: 100%;
+  width: 100%;
+  box-sizing: border-box;
+}
+
+.jp-lineFormWrapper {
+  overflow: hidden;
+  padding: 0 8px;
+  border: 1px solid var(--jp-border-color0);
+  background-color: var(--jp-input-active-background);
+  height: 22px;
+}
+
+.jp-lineFormWrapperFocusWithin {
+  border: var(--jp-border-width) solid var(--md-blue-500);
+  box-shadow: inset 0 0 4px var(--md-blue-300);
+}
+
+.jp-lineFormInput {
+  background: transparent;
+  width: 200px;
+  height: 100%;
+  border: none;
+  outline: none;
+  color: var(--jp-ui-font-color0);
+  line-height: 28px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-JSONEditor {
+  display: flex;
+  flex-direction: column;
+  width: 100%;
+}
+
+.jp-JSONEditor-host {
+  flex: 1 1 auto;
+  border: var(--jp-border-width) solid var(--jp-input-border-color);
+  border-radius: 0;
+  background: var(--jp-layout-color0);
+  min-height: 50px;
+  padding: 1px;
+}
+
+.jp-JSONEditor.jp-mod-error .jp-JSONEditor-host {
+  border-color: red;
+  outline-color: red;
+}
+
+.jp-JSONEditor-header {
+  display: flex;
+  flex: 1 0 auto;
+  padding: 0 0 0 12px;
+}
+
+.jp-JSONEditor-header label {
+  flex: 0 0 auto;
+}
+
+.jp-JSONEditor-commitButton {
+  height: 16px;
+  width: 16px;
+  background-size: 18px;
+  background-repeat: no-repeat;
+  background-position: center;
+}
+
+.jp-JSONEditor-host.jp-mod-focused {
+  background-color: var(--jp-input-active-background);
+  border: 1px solid var(--jp-input-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+}
+
+.jp-Editor.jp-mod-dropTarget {
+  border: var(--jp-border-width) solid var(--jp-input-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+.jp-DocumentSearch-input {
+  border: none;
+  outline: none;
+  color: var(--jp-ui-font-color0);
+  font-size: var(--jp-ui-font-size1);
+  background-color: var(--jp-layout-color0);
+  font-family: var(--jp-ui-font-family);
+  padding: 2px 1px;
+  resize: none;
+}
+
+.jp-DocumentSearch-overlay {
+  position: absolute;
+  background-color: var(--jp-toolbar-background);
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  border-left: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  top: 0;
+  right: 0;
+  z-index: 7;
+  min-width: 405px;
+  padding: 2px;
+  font-size: var(--jp-ui-font-size1);
+
+  --jp-private-document-search-button-height: 20px;
+}
+
+.jp-DocumentSearch-overlay button {
+  background-color: var(--jp-toolbar-background);
+  outline: 0;
+}
+
+.jp-DocumentSearch-overlay button:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-overlay button:active {
+  background-color: var(--jp-layout-color3);
+}
+
+.jp-DocumentSearch-overlay-row {
+  display: flex;
+  align-items: center;
+  margin-bottom: 2px;
+}
+
+.jp-DocumentSearch-button-content {
+  display: inline-block;
+  cursor: pointer;
+  box-sizing: border-box;
+  width: 100%;
+  height: 100%;
+}
+
+.jp-DocumentSearch-button-content svg {
+  width: 100%;
+  height: 100%;
+}
+
+.jp-DocumentSearch-input-wrapper {
+  border: var(--jp-border-width) solid var(--jp-border-color0);
+  display: flex;
+  background-color: var(--jp-layout-color0);
+  margin: 2px;
+}
+
+.jp-DocumentSearch-input-wrapper:focus-within {
+  border-color: var(--jp-cell-editor-active-border-color);
+}
+
+.jp-DocumentSearch-toggle-wrapper,
+.jp-DocumentSearch-button-wrapper {
+  all: initial;
+  overflow: hidden;
+  display: inline-block;
+  border: none;
+  box-sizing: border-box;
+}
+
+.jp-DocumentSearch-toggle-wrapper {
+  width: 14px;
+  height: 14px;
+}
+
+.jp-DocumentSearch-button-wrapper {
+  width: var(--jp-private-document-search-button-height);
+  height: var(--jp-private-document-search-button-height);
+}
+
+.jp-DocumentSearch-toggle-wrapper:focus,
+.jp-DocumentSearch-button-wrapper:focus {
+  outline: var(--jp-border-width) solid
+    var(--jp-cell-editor-active-border-color);
+  outline-offset: -1px;
+}
+
+.jp-DocumentSearch-toggle-wrapper,
+.jp-DocumentSearch-button-wrapper,
+.jp-DocumentSearch-button-content:focus {
+  outline: none;
+}
+
+.jp-DocumentSearch-toggle-placeholder {
+  width: 5px;
+}
+
+.jp-DocumentSearch-input-button::before {
+  display: block;
+  padding-top: 100%;
+}
+
+.jp-DocumentSearch-input-button-off {
+  opacity: var(--jp-search-toggle-off-opacity);
+}
+
+.jp-DocumentSearch-input-button-off:hover {
+  opacity: var(--jp-search-toggle-hover-opacity);
+}
+
+.jp-DocumentSearch-input-button-on {
+  opacity: var(--jp-search-toggle-on-opacity);
+}
+
+.jp-DocumentSearch-index-counter {
+  padding-left: 10px;
+  padding-right: 10px;
+  user-select: none;
+  min-width: 35px;
+  display: inline-block;
+}
+
+.jp-DocumentSearch-up-down-wrapper {
+  display: inline-block;
+  padding-right: 2px;
+  margin-left: auto;
+  white-space: nowrap;
+}
+
+.jp-DocumentSearch-spacer {
+  margin-left: auto;
+}
+
+.jp-DocumentSearch-up-down-wrapper button {
+  outline: 0;
+  border: none;
+  width: var(--jp-private-document-search-button-height);
+  height: var(--jp-private-document-search-button-height);
+  vertical-align: middle;
+  margin: 1px 5px 2px;
+}
+
+.jp-DocumentSearch-up-down-button:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-up-down-button:active {
+  background-color: var(--jp-layout-color3);
+}
+
+.jp-DocumentSearch-filter-button {
+  border-radius: var(--jp-border-radius);
+}
+
+.jp-DocumentSearch-filter-button:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-filter-button-enabled {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-filter-button-enabled:hover {
+  background-color: var(--jp-layout-color3);
+}
+
+.jp-DocumentSearch-search-options {
+  padding: 0 8px;
+  margin-left: 3px;
+  width: 100%;
+  display: grid;
+  justify-content: start;
+  grid-template-columns: 1fr 1fr;
+  align-items: center;
+  justify-items: stretch;
+}
+
+.jp-DocumentSearch-search-filter-disabled {
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-DocumentSearch-search-filter {
+  display: flex;
+  align-items: center;
+  user-select: none;
+}
+
+.jp-DocumentSearch-regex-error {
+  color: var(--jp-error-color0);
+}
+
+.jp-DocumentSearch-replace-button-wrapper {
+  overflow: hidden;
+  display: inline-block;
+  box-sizing: border-box;
+  border: var(--jp-border-width) solid var(--jp-border-color0);
+  margin: auto 2px;
+  padding: 1px 4px;
+  height: calc(var(--jp-private-document-search-button-height) + 2px);
+}
+
+.jp-DocumentSearch-replace-button-wrapper:focus {
+  border: var(--jp-border-width) solid var(--jp-cell-editor-active-border-color);
+}
+
+.jp-DocumentSearch-replace-button {
+  display: inline-block;
+  text-align: center;
+  cursor: pointer;
+  box-sizing: border-box;
+  color: var(--jp-ui-font-color1);
+
+  /* height - 2 * (padding of wrapper) */
+  line-height: calc(var(--jp-private-document-search-button-height) - 2px);
+  width: 100%;
+  height: 100%;
+}
+
+.jp-DocumentSearch-replace-button:focus {
+  outline: none;
+}
+
+.jp-DocumentSearch-replace-wrapper-class {
+  margin-left: 14px;
+  display: flex;
+}
+
+.jp-DocumentSearch-replace-toggle {
+  border: none;
+  background-color: var(--jp-toolbar-background);
+  border-radius: var(--jp-border-radius);
+}
+
+.jp-DocumentSearch-replace-toggle:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.cm-editor {
+  line-height: var(--jp-code-line-height);
+  font-size: var(--jp-code-font-size);
+  font-family: var(--jp-code-font-family);
+  border: 0;
+  border-radius: 0;
+  height: auto;
+
+  /* Changed to auto to autogrow */
+}
+
+.cm-editor pre {
+  padding: 0 var(--jp-code-padding);
+}
+
+.jp-CodeMirrorEditor[data-type='inline'] .cm-dialog {
+  background-color: var(--jp-layout-color0);
+  color: var(--jp-content-font-color1);
+}
+
+.jp-CodeMirrorEditor {
+  cursor: text;
+}
+
+/* When zoomed out 67% and 33% on a screen of 1440 width x 900 height */
+@media screen and (min-width: 2138px) and (max-width: 4319px) {
+  .jp-CodeMirrorEditor[data-type='inline'] .cm-cursor {
+    border-left: var(--jp-code-cursor-width1) solid
+      var(--jp-editor-cursor-color);
+  }
+}
+
+/* When zoomed out less than 33% */
+@media screen and (min-width: 4320px) {
+  .jp-CodeMirrorEditor[data-type='inline'] .cm-cursor {
+    border-left: var(--jp-code-cursor-width2) solid
+      var(--jp-editor-cursor-color);
+  }
+}
+
+.cm-editor.jp-mod-readOnly .cm-cursor {
+  display: none;
+}
+
+.jp-CollaboratorCursor {
+  border-left: 5px solid transparent;
+  border-right: 5px solid transparent;
+  border-top: none;
+  border-bottom: 3px solid;
+  background-clip: content-box;
+  margin-left: -5px;
+  margin-right: -5px;
+}
+
+.cm-searching,
+.cm-searching span {
+  /* `.cm-searching span`: we need to override syntax highlighting */
+  background-color: var(--jp-search-unselected-match-background-color);
+  color: var(--jp-search-unselected-match-color);
+}
+
+.cm-searching::selection,
+.cm-searching span::selection {
+  background-color: var(--jp-search-unselected-match-background-color);
+  color: var(--jp-search-unselected-match-color);
+}
+
+.jp-current-match > .cm-searching,
+.jp-current-match > .cm-searching span,
+.cm-searching > .jp-current-match,
+.cm-searching > .jp-current-match span {
+  background-color: var(--jp-search-selected-match-background-color);
+  color: var(--jp-search-selected-match-color);
+}
+
+.jp-current-match > .cm-searching::selection,
+.cm-searching > .jp-current-match::selection,
+.jp-current-match > .cm-searching span::selection {
+  background-color: var(--jp-search-selected-match-background-color);
+  color: var(--jp-search-selected-match-color);
+}
+
+.cm-trailingspace {
+  background-image: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAgAAAAFCAYAAAB4ka1VAAAAsElEQVQIHQGlAFr/AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA7+r3zKmT0/+pk9P/7+r3zAAAAAAAAAAABAAAAAAAAAAA6OPzM+/q9wAAAAAA6OPzMwAAAAAAAAAAAgAAAAAAAAAAGR8NiRQaCgAZIA0AGR8NiQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQyoYJ/SY80UAAAAASUVORK5CYII=);
+  background-position: center left;
+  background-repeat: repeat-x;
+}
+
+.jp-CollaboratorCursor-hover {
+  position: absolute;
+  z-index: 1;
+  transform: translateX(-50%);
+  color: white;
+  border-radius: 3px;
+  padding-left: 4px;
+  padding-right: 4px;
+  padding-top: 1px;
+  padding-bottom: 1px;
+  text-align: center;
+  font-size: var(--jp-ui-font-size1);
+  white-space: nowrap;
+}
+
+.jp-CodeMirror-ruler {
+  border-left: 1px dashed var(--jp-border-color2);
+}
+
+/* Styles for shared cursors (remote cursor locations and selected ranges) */
+.jp-CodeMirrorEditor .cm-ySelectionCaret {
+  position: relative;
+  border-left: 1px solid black;
+  margin-left: -1px;
+  margin-right: -1px;
+  box-sizing: border-box;
+}
+
+.jp-CodeMirrorEditor .cm-ySelectionCaret > .cm-ySelectionInfo {
+  white-space: nowrap;
+  position: absolute;
+  top: -1.15em;
+  padding-bottom: 0.05em;
+  left: -1px;
+  font-size: 0.95em;
+  font-family: var(--jp-ui-font-family);
+  font-weight: bold;
+  line-height: normal;
+  user-select: none;
+  color: white;
+  padding-left: 2px;
+  padding-right: 2px;
+  z-index: 101;
+  transition: opacity 0.3s ease-in-out;
+}
+
+.jp-CodeMirrorEditor .cm-ySelectionInfo {
+  transition-delay: 0.7s;
+  opacity: 0;
+}
+
+.jp-CodeMirrorEditor .cm-ySelectionCaret:hover > .cm-ySelectionInfo {
+  opacity: 1;
+  transition-delay: 0s;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-MimeDocument {
+  outline: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-filebrowser-button-height: 28px;
+  --jp-private-filebrowser-button-width: 48px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-FileBrowser .jp-SidePanel-content {
+  display: flex;
+  flex-direction: column;
+}
+
+.jp-FileBrowser-toolbar.jp-Toolbar {
+  flex-wrap: wrap;
+  row-gap: 12px;
+  border-bottom: none;
+  height: auto;
+  margin: 8px 12px 0;
+  box-shadow: none;
+  padding: 0;
+  justify-content: flex-start;
+}
+
+.jp-FileBrowser-Panel {
+  flex: 1 1 auto;
+  display: flex;
+  flex-direction: column;
+}
+
+.jp-BreadCrumbs {
+  flex: 0 0 auto;
+  margin: 8px 12px;
+}
+
+.jp-BreadCrumbs-item {
+  margin: 0 2px;
+  padding: 0 2px;
+  border-radius: var(--jp-border-radius);
+  cursor: pointer;
+}
+
+.jp-BreadCrumbs-item:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-BreadCrumbs-item:first-child {
+  margin-left: 0;
+}
+
+.jp-BreadCrumbs-item.jp-mod-dropTarget {
+  background-color: var(--jp-brand-color2);
+  opacity: 0.7;
+}
+
+/*-----------------------------------------------------------------------------
+| Buttons
+|----------------------------------------------------------------------------*/
+
+.jp-FileBrowser-toolbar > .jp-Toolbar-item {
+  flex: 0 0 auto;
+  padding-left: 0;
+  padding-right: 2px;
+  align-items: center;
+  height: unset;
+}
+
+.jp-FileBrowser-toolbar > .jp-Toolbar-item .jp-ToolbarButtonComponent {
+  width: 40px;
+}
+
+/*-----------------------------------------------------------------------------
+| Other styles
+|----------------------------------------------------------------------------*/
+
+.jp-FileDialog.jp-mod-conflict input {
+  color: var(--jp-error-color1);
+}
+
+.jp-FileDialog .jp-new-name-title {
+  margin-top: 12px;
+}
+
+.jp-LastModified-hidden {
+  display: none;
+}
+
+.jp-FileSize-hidden {
+  display: none;
+}
+
+.jp-FileBrowser .lm-AccordionPanel > h3:first-child {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| DirListing
+|----------------------------------------------------------------------------*/
+
+.jp-DirListing {
+  flex: 1 1 auto;
+  display: flex;
+  flex-direction: column;
+  outline: 0;
+}
+
+.jp-DirListing-header {
+  flex: 0 0 auto;
+  display: flex;
+  flex-direction: row;
+  align-items: center;
+  overflow: hidden;
+  border-top: var(--jp-border-width) solid var(--jp-border-color2);
+  border-bottom: var(--jp-border-width) solid var(--jp-border-color1);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  z-index: 2;
+}
+
+.jp-DirListing-headerItem {
+  padding: 4px 12px 2px;
+  font-weight: 500;
+}
+
+.jp-DirListing-headerItem:hover {
+  background: var(--jp-layout-color2);
+}
+
+.jp-DirListing-headerItem.jp-id-name {
+  flex: 1 0 84px;
+}
+
+.jp-DirListing-headerItem.jp-id-modified {
+  flex: 0 0 112px;
+  border-left: var(--jp-border-width) solid var(--jp-border-color2);
+  text-align: right;
+}
+
+.jp-DirListing-headerItem.jp-id-filesize {
+  flex: 0 0 75px;
+  border-left: var(--jp-border-width) solid var(--jp-border-color2);
+  text-align: right;
+}
+
+.jp-id-narrow {
+  display: none;
+  flex: 0 0 5px;
+  padding: 4px;
+  border-left: var(--jp-border-width) solid var(--jp-border-color2);
+  text-align: right;
+  color: var(--jp-border-color2);
+}
+
+.jp-DirListing-narrow .jp-id-narrow {
+  display: block;
+}
+
+.jp-DirListing-narrow .jp-id-modified,
+.jp-DirListing-narrow .jp-DirListing-itemModified {
+  display: none;
+}
+
+.jp-DirListing-headerItem.jp-mod-selected {
+  font-weight: 600;
+}
+
+/* increase specificity to override bundled default */
+.jp-DirListing-content {
+  flex: 1 1 auto;
+  margin: 0;
+  padding: 0;
+  list-style-type: none;
+  overflow: auto;
+  background-color: var(--jp-layout-color1);
+}
+
+.jp-DirListing-content mark {
+  color: var(--jp-ui-font-color0);
+  background-color: transparent;
+  font-weight: bold;
+}
+
+.jp-DirListing-content .jp-DirListing-item.jp-mod-selected mark {
+  color: var(--jp-ui-inverse-font-color0);
+}
+
+/* Style the directory listing content when a user drops a file to upload */
+.jp-DirListing.jp-mod-native-drop .jp-DirListing-content {
+  outline: 5px dashed rgba(128, 128, 128, 0.5);
+  outline-offset: -10px;
+  cursor: copy;
+}
+
+.jp-DirListing-item {
+  display: flex;
+  flex-direction: row;
+  align-items: center;
+  padding: 4px 12px;
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.jp-DirListing-checkboxWrapper {
+  /* Increases hit area of checkbox. */
+  padding: 4px;
+}
+
+.jp-DirListing-header
+  .jp-DirListing-checkboxWrapper
+  + .jp-DirListing-headerItem {
+  padding-left: 4px;
+}
+
+.jp-DirListing-content .jp-DirListing-checkboxWrapper {
+  position: relative;
+  left: -4px;
+  margin: -4px 0 -4px -8px;
+}
+
+.jp-DirListing-checkboxWrapper.jp-mod-visible {
+  visibility: visible;
+}
+
+/* For devices that support hovering, hide checkboxes until hovered, selected...
+*/
+@media (hover: hover) {
+  .jp-DirListing-checkboxWrapper {
+    visibility: hidden;
+  }
+
+  .jp-DirListing-item:hover .jp-DirListing-checkboxWrapper,
+  .jp-DirListing-item.jp-mod-selected .jp-DirListing-checkboxWrapper {
+    visibility: visible;
+  }
+}
+
+.jp-DirListing-item[data-is-dot] {
+  opacity: 75%;
+}
+
+.jp-DirListing-item.jp-mod-selected {
+  color: var(--jp-ui-inverse-font-color1);
+  background: var(--jp-brand-color1);
+}
+
+.jp-DirListing-item.jp-mod-dropTarget {
+  background: var(--jp-brand-color3);
+}
+
+.jp-DirListing-item:hover:not(.jp-mod-selected) {
+  background: var(--jp-layout-color2);
+}
+
+.jp-DirListing-itemIcon {
+  flex: 0 0 20px;
+  margin-right: 4px;
+}
+
+.jp-DirListing-itemText {
+  flex: 1 0 64px;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+  user-select: none;
+}
+
+.jp-DirListing-itemText:focus {
+  outline-width: 2px;
+  outline-color: var(--jp-inverse-layout-color1);
+  outline-style: solid;
+  outline-offset: 1px;
+}
+
+.jp-DirListing-item.jp-mod-selected .jp-DirListing-itemText:focus {
+  outline-color: var(--jp-layout-color1);
+}
+
+.jp-DirListing-itemModified {
+  flex: 0 0 125px;
+  text-align: right;
+}
+
+.jp-DirListing-itemFileSize {
+  flex: 0 0 90px;
+  text-align: right;
+}
+
+.jp-DirListing-editor {
+  flex: 1 0 64px;
+  outline: none;
+  border: none;
+  color: var(--jp-ui-font-color1);
+  background-color: var(--jp-layout-color1);
+}
+
+.jp-DirListing-item.jp-mod-running .jp-DirListing-itemIcon::before {
+  color: var(--jp-success-color1);
+  content: '\25CF';
+  font-size: 8px;
+  position: absolute;
+  left: -8px;
+}
+
+.jp-DirListing-item.jp-mod-running.jp-mod-selected
+  .jp-DirListing-itemIcon::before {
+  color: var(--jp-ui-inverse-font-color1);
+}
+
+.jp-DirListing-item.lm-mod-drag-image,
+.jp-DirListing-item.jp-mod-selected.lm-mod-drag-image {
+  font-size: var(--jp-ui-font-size1);
+  padding-left: 4px;
+  margin-left: 4px;
+  width: 160px;
+  background-color: var(--jp-ui-inverse-font-color2);
+  box-shadow: var(--jp-elevation-z2);
+  border-radius: 0;
+  color: var(--jp-ui-font-color1);
+  transform: translateX(-40%) translateY(-58%);
+}
+
+.jp-Document {
+  min-width: 120px;
+  min-height: 120px;
+  outline: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Main OutputArea
+| OutputArea has a list of Outputs
+|----------------------------------------------------------------------------*/
+
+.jp-OutputArea {
+  overflow-y: auto;
+}
+
+.jp-OutputArea-child {
+  display: table;
+  table-layout: fixed;
+  width: 100%;
+  overflow: hidden;
+}
+
+.jp-OutputPrompt {
+  width: var(--jp-cell-prompt-width);
+  color: var(--jp-cell-outprompt-font-color);
+  font-family: var(--jp-cell-prompt-font-family);
+  padding: var(--jp-code-padding);
+  letter-spacing: var(--jp-cell-prompt-letter-spacing);
+  line-height: var(--jp-code-line-height);
+  font-size: var(--jp-code-font-size);
+  border: var(--jp-border-width) solid transparent;
+  opacity: var(--jp-cell-prompt-opacity);
+
+  /* Right align prompt text, don't wrap to handle large prompt numbers */
+  text-align: right;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+
+  /* Disable text selection */
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.jp-OutputArea-prompt {
+  display: table-cell;
+  vertical-align: top;
+}
+
+.jp-OutputArea-output {
+  display: table-cell;
+  width: 100%;
+  height: auto;
+  overflow: auto;
+  user-select: text;
+  -moz-user-select: text;
+  -webkit-user-select: text;
+  -ms-user-select: text;
+}
+
+.jp-OutputArea .jp-RenderedText {
+  padding-left: 1ch;
+}
+
+/**
+ * Prompt overlay.
+ */
+
+.jp-OutputArea-promptOverlay {
+  position: absolute;
+  top: 0;
+  width: var(--jp-cell-prompt-width);
+  height: 100%;
+  opacity: 0.5;
+}
+
+.jp-OutputArea-promptOverlay:hover {
+  background: var(--jp-layout-color2);
+  box-shadow: inset 0 0 1px var(--jp-inverse-layout-color0);
+  cursor: zoom-out;
+}
+
+.jp-mod-outputsScrolled .jp-OutputArea-promptOverlay:hover {
+  cursor: zoom-in;
+}
+
+/**
+ * Isolated output.
+ */
+.jp-OutputArea-output.jp-mod-isolated {
+  width: 100%;
+  display: block;
+}
+
+/*
+When drag events occur, `lm-mod-override-cursor` is added to the body.
+Because iframes steal all cursor events, the following two rules are necessary
+to suppress pointer events while resize drags are occurring. There may be a
+better solution to this problem.
+*/
+body.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated {
+  position: relative;
+}
+
+body.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated::before {
+  content: '';
+  position: absolute;
+  top: 0;
+  left: 0;
+  right: 0;
+  bottom: 0;
+  background: transparent;
+}
+
+/* pre */
+
+.jp-OutputArea-output pre {
+  border: none;
+  margin: 0;
+  padding: 0;
+  overflow-x: auto;
+  overflow-y: auto;
+  word-break: break-all;
+  word-wrap: break-word;
+  white-space: pre-wrap;
+}
+
+/* tables */
+
+.jp-OutputArea-output.jp-RenderedHTMLCommon table {
+  margin-left: 0;
+  margin-right: 0;
+}
+
+/* description lists */
+
+.jp-OutputArea-output dl,
+.jp-OutputArea-output dt,
+.jp-OutputArea-output dd {
+  display: block;
+}
+
+.jp-OutputArea-output dl {
+  width: 100%;
+  overflow: hidden;
+  padding: 0;
+  margin: 0;
+}
+
+.jp-OutputArea-output dt {
+  font-weight: bold;
+  float: left;
+  width: 20%;
+  padding: 0;
+  margin: 0;
+}
+
+.jp-OutputArea-output dd {
+  float: left;
+  width: 80%;
+  padding: 0;
+  margin: 0;
+}
+
+.jp-TrimmedOutputs pre {
+  background: var(--jp-layout-color3);
+  font-size: calc(var(--jp-code-font-size) * 1.4);
+  text-align: center;
+  text-transform: uppercase;
+}
+
+/* Hide the gutter in case of
+ *  - nested output areas (e.g. in the case of output widgets)
+ *  - mirrored output areas
+ */
+.jp-OutputArea .jp-OutputArea .jp-OutputArea-prompt {
+  display: none;
+}
+
+/* Hide empty lines in the output area, for instance due to cleared widgets */
+.jp-OutputArea-prompt:empty {
+  padding: 0;
+  border: 0;
+}
+
+/*-----------------------------------------------------------------------------
+| executeResult is added to any Output-result for the display of the object
+| returned by a cell
+|----------------------------------------------------------------------------*/
+
+.jp-OutputArea-output.jp-OutputArea-executeResult {
+  margin-left: 0;
+  width: 100%;
+}
+
+/* Text output with the Out[] prompt needs a top padding to match the
+ * alignment of the Out[] prompt itself.
+ */
+.jp-OutputArea-executeResult .jp-RenderedText.jp-OutputArea-output {
+  padding-top: var(--jp-code-padding);
+  border-top: var(--jp-border-width) solid transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| The Stdin output
+|----------------------------------------------------------------------------*/
+
+.jp-Stdin-prompt {
+  color: var(--jp-content-font-color0);
+  padding-right: var(--jp-code-padding);
+  vertical-align: baseline;
+  flex: 0 0 auto;
+}
+
+.jp-Stdin-input {
+  font-family: var(--jp-code-font-family);
+  font-size: inherit;
+  color: inherit;
+  background-color: inherit;
+  width: 42%;
+  min-width: 200px;
+
+  /* make sure input baseline aligns with prompt */
+  vertical-align: baseline;
+
+  /* padding + margin = 0.5em between prompt and cursor */
+  padding: 0 0.25em;
+  margin: 0 0.25em;
+  flex: 0 0 70%;
+}
+
+.jp-Stdin-input::placeholder {
+  opacity: 0;
+}
+
+.jp-Stdin-input:focus {
+  box-shadow: none;
+}
+
+.jp-Stdin-input:focus::placeholder {
+  opacity: 1;
+}
+
+/*-----------------------------------------------------------------------------
+| Output Area View
+|----------------------------------------------------------------------------*/
+
+.jp-LinkedOutputView .jp-OutputArea {
+  height: 100%;
+  display: block;
+}
+
+.jp-LinkedOutputView .jp-OutputArea-output:only-child {
+  height: 100%;
+}
+
+/*-----------------------------------------------------------------------------
+| Printing
+|----------------------------------------------------------------------------*/
+
+@media print {
+  .jp-OutputArea-child {
+    break-inside: avoid-page;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Mobile
+|----------------------------------------------------------------------------*/
+@media only screen and (max-width: 760px) {
+  .jp-OutputPrompt {
+    display: table-row;
+    text-align: left;
+  }
+
+  .jp-OutputArea-child .jp-OutputArea-output {
+    display: table-row;
+    margin-left: var(--jp-notebook-padding);
+  }
+}
+
+/* Trimmed outputs warning */
+.jp-TrimmedOutputs > a {
+  margin: 10px;
+  text-decoration: none;
+  cursor: pointer;
+}
+
+.jp-TrimmedOutputs > a:hover {
+  text-decoration: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Table of Contents
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-toc-active-width: 4px;
+}
+
+.jp-TableOfContents {
+  display: flex;
+  flex-direction: column;
+  background: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  height: 100%;
+}
+
+.jp-TableOfContents-placeholder {
+  text-align: center;
+}
+
+.jp-TableOfContents-placeholderContent {
+  color: var(--jp-content-font-color2);
+  padding: 8px;
+}
+
+.jp-TableOfContents-placeholderContent > h3 {
+  margin-bottom: var(--jp-content-heading-margin-bottom);
+}
+
+.jp-TableOfContents .jp-SidePanel-content {
+  overflow-y: auto;
+}
+
+.jp-TableOfContents-tree {
+  margin: 4px;
+}
+
+.jp-TableOfContents ol {
+  list-style-type: none;
+}
+
+/* stylelint-disable-next-line selector-max-type */
+.jp-TableOfContents li > ol {
+  /* Align left border with triangle icon center */
+  padding-left: 11px;
+}
+
+.jp-TableOfContents-content {
+  /* left margin for the active heading indicator */
+  margin: 0 0 0 var(--jp-private-toc-active-width);
+  padding: 0;
+  background-color: var(--jp-layout-color1);
+}
+
+.jp-tocItem {
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.jp-tocItem-heading {
+  display: flex;
+  cursor: pointer;
+}
+
+.jp-tocItem-heading:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-tocItem-content {
+  display: block;
+  padding: 4px 0;
+  white-space: nowrap;
+  text-overflow: ellipsis;
+  overflow-x: hidden;
+}
+
+.jp-tocItem-collapser {
+  height: 20px;
+  margin: 2px 2px 0;
+  padding: 0;
+  background: none;
+  border: none;
+  cursor: pointer;
+}
+
+.jp-tocItem-collapser:hover {
+  background-color: var(--jp-layout-color3);
+}
+
+/* Active heading indicator */
+
+.jp-tocItem-heading::before {
+  content: ' ';
+  background: transparent;
+  width: var(--jp-private-toc-active-width);
+  height: 24px;
+  position: absolute;
+  left: 0;
+  border-radius: var(--jp-border-radius);
+}
+
+.jp-tocItem-heading.jp-tocItem-active::before {
+  background-color: var(--jp-brand-color1);
+}
+
+.jp-tocItem-heading:hover.jp-tocItem-active::before {
+  background: var(--jp-brand-color0);
+  opacity: 1;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Collapser {
+  flex: 0 0 var(--jp-cell-collapser-width);
+  padding: 0;
+  margin: 0;
+  border: none;
+  outline: none;
+  background: transparent;
+  border-radius: var(--jp-border-radius);
+  opacity: 1;
+}
+
+.jp-Collapser-child {
+  display: block;
+  width: 100%;
+  box-sizing: border-box;
+
+  /* height: 100% doesn't work because the height of its parent is computed from content */
+  position: absolute;
+  top: 0;
+  bottom: 0;
+}
+
+/*-----------------------------------------------------------------------------
+| Printing
+|----------------------------------------------------------------------------*/
+
+/*
+Hiding collapsers in print mode.
+
+Note: input and output wrappers have "display: block" propery in print mode.
+*/
+
+@media print {
+  .jp-Collapser {
+    display: none;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Header/Footer
+|----------------------------------------------------------------------------*/
+
+/* Hidden by zero height by default */
+.jp-CellHeader,
+.jp-CellFooter {
+  height: 0;
+  width: 100%;
+  padding: 0;
+  margin: 0;
+  border: none;
+  outline: none;
+  background: transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Input
+|----------------------------------------------------------------------------*/
+
+/* All input areas */
+.jp-InputArea {
+  display: table;
+  table-layout: fixed;
+  width: 100%;
+  overflow: hidden;
+}
+
+.jp-InputArea-editor {
+  display: table-cell;
+  overflow: hidden;
+  vertical-align: top;
+
+  /* This is the non-active, default styling */
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  border-radius: 0;
+  background: var(--jp-cell-editor-background);
+}
+
+.jp-InputPrompt {
+  display: table-cell;
+  vertical-align: top;
+  width: var(--jp-cell-prompt-width);
+  color: var(--jp-cell-inprompt-font-color);
+  font-family: var(--jp-cell-prompt-font-family);
+  padding: var(--jp-code-padding);
+  letter-spacing: var(--jp-cell-prompt-letter-spacing);
+  opacity: var(--jp-cell-prompt-opacity);
+  line-height: var(--jp-code-line-height);
+  font-size: var(--jp-code-font-size);
+  border: var(--jp-border-width) solid transparent;
+
+  /* Right align prompt text, don't wrap to handle large prompt numbers */
+  text-align: right;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+
+  /* Disable text selection */
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Mobile
+|----------------------------------------------------------------------------*/
+@media only screen and (max-width: 760px) {
+  .jp-InputArea-editor {
+    display: table-row;
+    margin-left: var(--jp-notebook-padding);
+  }
+
+  .jp-InputPrompt {
+    display: table-row;
+    text-align: left;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Placeholder
+|----------------------------------------------------------------------------*/
+
+.jp-Placeholder {
+  display: table;
+  table-layout: fixed;
+  width: 100%;
+}
+
+.jp-Placeholder-prompt {
+  display: table-cell;
+  box-sizing: border-box;
+}
+
+.jp-Placeholder-content {
+  display: table-cell;
+  padding: 4px 6px;
+  border: 1px solid transparent;
+  border-radius: 0;
+  background: none;
+  box-sizing: border-box;
+  cursor: pointer;
+}
+
+.jp-Placeholder-contentContainer {
+  display: flex;
+}
+
+.jp-Placeholder-content:hover,
+.jp-InputPlaceholder > .jp-Placeholder-content:hover {
+  border-color: var(--jp-layout-color3);
+}
+
+.jp-Placeholder-content .jp-MoreHorizIcon {
+  width: 32px;
+  height: 16px;
+  border: 1px solid transparent;
+  border-radius: var(--jp-border-radius);
+}
+
+.jp-Placeholder-content .jp-MoreHorizIcon:hover {
+  border: 1px solid var(--jp-border-color1);
+  box-shadow: 0 0 2px 0 rgba(0, 0, 0, 0.25);
+  background-color: var(--jp-layout-color0);
+}
+
+.jp-PlaceholderText {
+  white-space: nowrap;
+  overflow-x: hidden;
+  color: var(--jp-inverse-layout-color3);
+  font-family: var(--jp-code-font-family);
+}
+
+.jp-InputPlaceholder > .jp-Placeholder-content {
+  border-color: var(--jp-cell-editor-border-color);
+  background: var(--jp-cell-editor-background);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Private CSS variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-cell-scrolling-output-offset: 5px;
+}
+
+/*-----------------------------------------------------------------------------
+| Cell
+|----------------------------------------------------------------------------*/
+
+.jp-Cell {
+  padding: var(--jp-cell-padding);
+  margin: 0;
+  border: none;
+  outline: none;
+  background: transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| Common input/output
+|----------------------------------------------------------------------------*/
+
+.jp-Cell-inputWrapper,
+.jp-Cell-outputWrapper {
+  display: flex;
+  flex-direction: row;
+  padding: 0;
+  margin: 0;
+
+  /* Added to reveal the box-shadow on the input and output collapsers. */
+  overflow: visible;
+}
+
+/* Only input/output areas inside cells */
+.jp-Cell-inputArea,
+.jp-Cell-outputArea {
+  flex: 1 1 auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Collapser
+|----------------------------------------------------------------------------*/
+
+/* Make the output collapser disappear when there is not output, but do so
+ * in a manner that leaves it in the layout and preserves its width.
+ */
+.jp-Cell.jp-mod-noOutputs .jp-Cell-outputCollapser {
+  border: none !important;
+  background: transparent !important;
+}
+
+.jp-Cell:not(.jp-mod-noOutputs) .jp-Cell-outputCollapser {
+  min-height: var(--jp-cell-collapser-min-height);
+}
+
+/*-----------------------------------------------------------------------------
+| Output
+|----------------------------------------------------------------------------*/
+
+/* Put a space between input and output when there IS output */
+.jp-Cell:not(.jp-mod-noOutputs) .jp-Cell-outputWrapper {
+  margin-top: 5px;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea {
+  overflow-y: auto;
+  max-height: 24em;
+  margin-left: var(--jp-private-cell-scrolling-output-offset);
+  resize: vertical;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea[style*='height'] {
+  max-height: unset;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea::after {
+  content: ' ';
+  box-shadow: inset 0 0 6px 2px rgb(0 0 0 / 30%);
+  width: 100%;
+  height: 100%;
+  position: sticky;
+  bottom: 0;
+  top: 0;
+  margin-top: -50%;
+  float: left;
+  display: block;
+  pointer-events: none;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-child {
+  padding-top: 6px;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-prompt {
+  width: calc(
+    var(--jp-cell-prompt-width) - var(--jp-private-cell-scrolling-output-offset)
+  );
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-promptOverlay {
+  left: calc(-1 * var(--jp-private-cell-scrolling-output-offset));
+}
+
+/*-----------------------------------------------------------------------------
+| CodeCell
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| MarkdownCell
+|----------------------------------------------------------------------------*/
+
+.jp-MarkdownOutput {
+  display: table-cell;
+  width: 100%;
+  margin-top: 0;
+  margin-bottom: 0;
+  padding-left: var(--jp-code-padding);
+}
+
+.jp-MarkdownOutput.jp-RenderedHTMLCommon {
+  overflow: auto;
+}
+
+/* collapseHeadingButton (show always if hiddenCellsButton is _not_ shown) */
+.jp-collapseHeadingButton {
+  display: flex;
+  min-height: var(--jp-cell-collapser-min-height);
+  font-size: var(--jp-code-font-size);
+  position: absolute;
+  background-color: transparent;
+  background-size: 25px;
+  background-repeat: no-repeat;
+  background-position-x: center;
+  background-position-y: top;
+  background-image: var(--jp-icon-caret-down);
+  right: 0;
+  top: 0;
+  bottom: 0;
+}
+
+.jp-collapseHeadingButton.jp-mod-collapsed {
+  background-image: var(--jp-icon-caret-right);
+}
+
+/*
+ set the container font size to match that of content
+ so that the nested collapse buttons have the right size
+*/
+.jp-MarkdownCell .jp-InputPrompt {
+  font-size: var(--jp-content-font-size1);
+}
+
+/*
+  Align collapseHeadingButton with cell top header
+  The font sizes are identical to the ones in packages/rendermime/style/base.css
+*/
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='1'] {
+  font-size: var(--jp-content-font-size5);
+  background-position-y: calc(0.3 * var(--jp-content-font-size5));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='2'] {
+  font-size: var(--jp-content-font-size4);
+  background-position-y: calc(0.3 * var(--jp-content-font-size4));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='3'] {
+  font-size: var(--jp-content-font-size3);
+  background-position-y: calc(0.3 * var(--jp-content-font-size3));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='4'] {
+  font-size: var(--jp-content-font-size2);
+  background-position-y: calc(0.3 * var(--jp-content-font-size2));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='5'] {
+  font-size: var(--jp-content-font-size1);
+  background-position-y: top;
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='6'] {
+  font-size: var(--jp-content-font-size0);
+  background-position-y: top;
+}
+
+/* collapseHeadingButton (show only on (hover,active) if hiddenCellsButton is shown) */
+.jp-Notebook.jp-mod-showHiddenCellsButton .jp-collapseHeadingButton {
+  display: none;
+}
+
+.jp-Notebook.jp-mod-showHiddenCellsButton
+  :is(.jp-MarkdownCell:hover, .jp-mod-active)
+  .jp-collapseHeadingButton {
+  display: flex;
+}
+
+/* showHiddenCellsButton (only show if jp-mod-showHiddenCellsButton is set, which
+is a consequence of the showHiddenCellsButton option in Notebook Settings)*/
+.jp-Notebook.jp-mod-showHiddenCellsButton .jp-showHiddenCellsButton {
+  margin-left: calc(var(--jp-cell-prompt-width) + 2 * var(--jp-code-padding));
+  margin-top: var(--jp-code-padding);
+  border: 1px solid var(--jp-border-color2);
+  background-color: var(--jp-border-color3) !important;
+  color: var(--jp-content-font-color0) !important;
+  display: flex;
+}
+
+.jp-Notebook.jp-mod-showHiddenCellsButton .jp-showHiddenCellsButton:hover {
+  background-color: var(--jp-border-color2) !important;
+}
+
+.jp-showHiddenCellsButton {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Printing
+|----------------------------------------------------------------------------*/
+
+/*
+Using block instead of flex to allow the use of the break-inside CSS property for
+cell outputs.
+*/
+
+@media print {
+  .jp-Cell-inputWrapper,
+  .jp-Cell-outputWrapper {
+    display: block;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-notebook-toolbar-padding: 2px 5px 2px 2px;
+}
+
+/*-----------------------------------------------------------------------------
+
+/*-----------------------------------------------------------------------------
+| Styles
+|----------------------------------------------------------------------------*/
+
+.jp-NotebookPanel-toolbar {
+  padding: var(--jp-notebook-toolbar-padding);
+
+  /* disable paint containment from lumino 2.0 default strict CSS containment */
+  contain: style size !important;
+}
+
+.jp-Toolbar-item.jp-Notebook-toolbarCellType .jp-select-wrapper.jp-mod-focused {
+  border: none;
+  box-shadow: none;
+}
+
+.jp-Notebook-toolbarCellTypeDropdown select {
+  height: 24px;
+  font-size: var(--jp-ui-font-size1);
+  line-height: 14px;
+  border-radius: 0;
+  display: block;
+}
+
+.jp-Notebook-toolbarCellTypeDropdown span {
+  top: 5px !important;
+}
+
+.jp-Toolbar-responsive-popup {
+  position: absolute;
+  height: fit-content;
+  display: flex;
+  flex-direction: row;
+  flex-wrap: wrap;
+  justify-content: flex-end;
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  background: var(--jp-toolbar-background);
+  min-height: var(--jp-toolbar-micro-height);
+  padding: var(--jp-notebook-toolbar-padding);
+  z-index: 1;
+  right: 0;
+  top: 0;
+}
+
+.jp-Toolbar > .jp-Toolbar-responsive-opener {
+  margin-left: auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+
+/*-----------------------------------------------------------------------------
+| Styles
+|----------------------------------------------------------------------------*/
+
+.jp-Notebook-ExecutionIndicator {
+  position: relative;
+  display: inline-block;
+  height: 100%;
+  z-index: 9997;
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip {
+  visibility: hidden;
+  height: auto;
+  width: max-content;
+  width: -moz-max-content;
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color1);
+  text-align: justify;
+  border-radius: 6px;
+  padding: 0 5px;
+  position: fixed;
+  display: table;
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip.up {
+  transform: translateX(-50%) translateY(-100%) translateY(-32px);
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip.down {
+  transform: translateX(calc(-100% + 16px)) translateY(5px);
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip.hidden {
+  display: none;
+}
+
+.jp-Notebook-ExecutionIndicator:hover .jp-Notebook-ExecutionIndicator-tooltip {
+  visibility: visible;
+}
+
+.jp-Notebook-ExecutionIndicator span {
+  font-size: var(--jp-ui-font-size1);
+  font-family: var(--jp-ui-font-family);
+  color: var(--jp-ui-font-color1);
+  line-height: 24px;
+  display: block;
+}
+
+.jp-Notebook-ExecutionIndicator-progress-bar {
+  display: flex;
+  justify-content: center;
+  height: 100%;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*
+ * Execution indicator
+ */
+.jp-tocItem-content::after {
+  content: '';
+
+  /* Must be identical to form a circle */
+  width: 12px;
+  height: 12px;
+  background: none;
+  border: none;
+  position: absolute;
+  right: 0;
+}
+
+.jp-tocItem-content[data-running='0']::after {
+  border-radius: 50%;
+  border: var(--jp-border-width) solid var(--jp-inverse-layout-color3);
+  background: none;
+}
+
+.jp-tocItem-content[data-running='1']::after {
+  border-radius: 50%;
+  border: var(--jp-border-width) solid var(--jp-inverse-layout-color3);
+  background-color: var(--jp-inverse-layout-color3);
+}
+
+.jp-tocItem-content[data-running='0'],
+.jp-tocItem-content[data-running='1'] {
+  margin-right: 12px;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-Notebook-footer {
+  height: 27px;
+  margin-left: calc(
+    var(--jp-cell-prompt-width) + var(--jp-cell-collapser-width) +
+      var(--jp-cell-padding)
+  );
+  width: calc(
+    100% -
+      (
+        var(--jp-cell-prompt-width) + var(--jp-cell-collapser-width) +
+          var(--jp-cell-padding) + var(--jp-cell-padding)
+      )
+  );
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  color: var(--jp-ui-font-color3);
+  margin-top: 6px;
+  background: none;
+  cursor: pointer;
+}
+
+.jp-Notebook-footer:focus {
+  border-color: var(--jp-cell-editor-active-border-color);
+}
+
+/* For devices that support hovering, hide footer until hover */
+@media (hover: hover) {
+  .jp-Notebook-footer {
+    opacity: 0;
+  }
+
+  .jp-Notebook-footer:focus,
+  .jp-Notebook-footer:hover {
+    opacity: 1;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Imports
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| CSS variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-side-by-side-output-size: 1fr;
+  --jp-side-by-side-resized-cell: var(--jp-side-by-side-output-size);
+  --jp-private-notebook-dragImage-width: 304px;
+  --jp-private-notebook-dragImage-height: 36px;
+  --jp-private-notebook-selected-color: var(--md-blue-400);
+  --jp-private-notebook-active-color: var(--md-green-400);
+}
+
+/*-----------------------------------------------------------------------------
+| Notebook
+|----------------------------------------------------------------------------*/
+
+/* stylelint-disable selector-max-class */
+
+.jp-NotebookPanel {
+  display: block;
+  height: 100%;
+}
+
+.jp-NotebookPanel.jp-Document {
+  min-width: 240px;
+  min-height: 120px;
+}
+
+.jp-Notebook {
+  padding: var(--jp-notebook-padding);
+  outline: none;
+  overflow: auto;
+  background: var(--jp-layout-color0);
+}
+
+.jp-Notebook.jp-mod-scrollPastEnd::after {
+  display: block;
+  content: '';
+  min-height: var(--jp-notebook-scroll-padding);
+}
+
+.jp-MainAreaWidget-ContainStrict .jp-Notebook * {
+  contain: strict;
+}
+
+.jp-Notebook .jp-Cell {
+  overflow: visible;
+}
+
+.jp-Notebook .jp-Cell .jp-InputPrompt {
+  cursor: move;
+}
+
+/*-----------------------------------------------------------------------------
+| Notebook state related styling
+|
+| The notebook and cells each have states, here are the possibilities:
+|
+| - Notebook
+|   - Command
+|   - Edit
+| - Cell
+|   - None
+|   - Active (only one can be active)
+|   - Selected (the cells actions are applied to)
+|   - Multiselected (when multiple selected, the cursor)
+|   - No outputs
+|----------------------------------------------------------------------------*/
+
+/* Command or edit modes */
+
+.jp-Notebook .jp-Cell:not(.jp-mod-active) .jp-InputPrompt {
+  opacity: var(--jp-cell-prompt-not-active-opacity);
+  color: var(--jp-cell-prompt-not-active-font-color);
+}
+
+.jp-Notebook .jp-Cell:not(.jp-mod-active) .jp-OutputPrompt {
+  opacity: var(--jp-cell-prompt-not-active-opacity);
+  color: var(--jp-cell-prompt-not-active-font-color);
+}
+
+/* cell is active */
+.jp-Notebook .jp-Cell.jp-mod-active .jp-Collapser {
+  background: var(--jp-brand-color1);
+}
+
+/* cell is dirty */
+.jp-Notebook .jp-Cell.jp-mod-dirty .jp-InputPrompt {
+  color: var(--jp-warn-color1);
+}
+
+.jp-Notebook .jp-Cell.jp-mod-dirty .jp-InputPrompt::before {
+  color: var(--jp-warn-color1);
+  content: '•';
+}
+
+.jp-Notebook .jp-Cell.jp-mod-active.jp-mod-dirty .jp-Collapser {
+  background: var(--jp-warn-color1);
+}
+
+/* collapser is hovered */
+.jp-Notebook .jp-Cell .jp-Collapser:hover {
+  box-shadow: var(--jp-elevation-z2);
+  background: var(--jp-brand-color1);
+  opacity: var(--jp-cell-collapser-not-active-hover-opacity);
+}
+
+/* cell is active and collapser is hovered */
+.jp-Notebook .jp-Cell.jp-mod-active .jp-Collapser:hover {
+  background: var(--jp-brand-color0);
+  opacity: 1;
+}
+
+/* Command mode */
+
+.jp-Notebook.jp-mod-commandMode .jp-Cell.jp-mod-selected {
+  background: var(--jp-notebook-multiselected-color);
+}
+
+.jp-Notebook.jp-mod-commandMode
+  .jp-Cell.jp-mod-active.jp-mod-selected:not(.jp-mod-multiSelected) {
+  background: transparent;
+}
+
+/* Edit mode */
+
+.jp-Notebook.jp-mod-editMode .jp-Cell.jp-mod-active .jp-InputArea-editor {
+  border: var(--jp-border-width) solid var(--jp-cell-editor-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+  background-color: var(--jp-cell-editor-active-background);
+}
+
+/*-----------------------------------------------------------------------------
+| Notebook drag and drop
+|----------------------------------------------------------------------------*/
+
+.jp-Notebook-cell.jp-mod-dropSource {
+  opacity: 0.5;
+}
+
+.jp-Notebook-cell.jp-mod-dropTarget,
+.jp-Notebook.jp-mod-commandMode
+  .jp-Notebook-cell.jp-mod-active.jp-mod-selected.jp-mod-dropTarget {
+  border-top-color: var(--jp-private-notebook-selected-color);
+  border-top-style: solid;
+  border-top-width: 2px;
+}
+
+.jp-dragImage {
+  display: block;
+  flex-direction: row;
+  width: var(--jp-private-notebook-dragImage-width);
+  height: var(--jp-private-notebook-dragImage-height);
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  background: var(--jp-cell-editor-background);
+  overflow: visible;
+}
+
+.jp-dragImage-singlePrompt {
+  box-shadow: 2px 2px 4px 0 rgba(0, 0, 0, 0.12);
+}
+
+.jp-dragImage .jp-dragImage-content {
+  flex: 1 1 auto;
+  z-index: 2;
+  font-size: var(--jp-code-font-size);
+  font-family: var(--jp-code-font-family);
+  line-height: var(--jp-code-line-height);
+  padding: var(--jp-code-padding);
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  background: var(--jp-cell-editor-background-color);
+  color: var(--jp-content-font-color3);
+  text-align: left;
+  margin: 4px 4px 4px 0;
+}
+
+.jp-dragImage .jp-dragImage-prompt {
+  flex: 0 0 auto;
+  min-width: 36px;
+  color: var(--jp-cell-inprompt-font-color);
+  padding: var(--jp-code-padding);
+  padding-left: 12px;
+  font-family: var(--jp-cell-prompt-font-family);
+  letter-spacing: var(--jp-cell-prompt-letter-spacing);
+  line-height: 1.9;
+  font-size: var(--jp-code-font-size);
+  border: var(--jp-border-width) solid transparent;
+}
+
+.jp-dragImage-multipleBack {
+  z-index: -1;
+  position: absolute;
+  height: 32px;
+  width: 300px;
+  top: 8px;
+  left: 8px;
+  background: var(--jp-layout-color2);
+  border: var(--jp-border-width) solid var(--jp-input-border-color);
+  box-shadow: 2px 2px 4px 0 rgba(0, 0, 0, 0.12);
+}
+
+/*-----------------------------------------------------------------------------
+| Cell toolbar
+|----------------------------------------------------------------------------*/
+
+.jp-NotebookTools {
+  display: block;
+  min-width: var(--jp-sidebar-min-width);
+  color: var(--jp-ui-font-color1);
+  background: var(--jp-layout-color1);
+
+  /* This is needed so that all font sizing of children done in ems is
+    * relative to this base size */
+  font-size: var(--jp-ui-font-size1);
+  overflow: auto;
+}
+
+.jp-ActiveCellTool {
+  padding: 12px 0;
+  display: flex;
+}
+
+.jp-ActiveCellTool-Content {
+  flex: 1 1 auto;
+}
+
+.jp-ActiveCellTool .jp-ActiveCellTool-CellContent {
+  background: var(--jp-cell-editor-background);
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  border-radius: 0;
+  min-height: 29px;
+}
+
+.jp-ActiveCellTool .jp-InputPrompt {
+  min-width: calc(var(--jp-cell-prompt-width) * 0.75);
+}
+
+.jp-ActiveCellTool-CellContent > pre {
+  padding: 5px 4px;
+  margin: 0;
+  white-space: normal;
+}
+
+.jp-MetadataEditorTool {
+  flex-direction: column;
+  padding: 12px 0;
+}
+
+.jp-RankedPanel > :not(:first-child) {
+  margin-top: 12px;
+}
+
+.jp-KeySelector select.jp-mod-styled {
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color0);
+  border: var(--jp-border-width) solid var(--jp-border-color1);
+}
+
+.jp-KeySelector label,
+.jp-MetadataEditorTool label,
+.jp-NumberSetter label {
+  line-height: 1.4;
+}
+
+.jp-NotebookTools .jp-select-wrapper {
+  margin-top: 4px;
+  margin-bottom: 0;
+}
+
+.jp-NumberSetter input {
+  width: 100%;
+  margin-top: 4px;
+}
+
+.jp-NotebookTools .jp-Collapse {
+  margin-top: 16px;
+}
+
+/*-----------------------------------------------------------------------------
+| Presentation Mode (.jp-mod-presentationMode)
+|----------------------------------------------------------------------------*/
+
+.jp-mod-presentationMode .jp-Notebook {
+  --jp-content-font-size1: var(--jp-content-presentation-font-size1);
+  --jp-code-font-size: var(--jp-code-presentation-font-size);
+}
+
+.jp-mod-presentationMode .jp-Notebook .jp-Cell .jp-InputPrompt,
+.jp-mod-presentationMode .jp-Notebook .jp-Cell .jp-OutputPrompt {
+  flex: 0 0 110px;
+}
+
+/*-----------------------------------------------------------------------------
+| Side-by-side Mode (.jp-mod-sideBySide)
+|----------------------------------------------------------------------------*/
+.jp-mod-sideBySide.jp-Notebook .jp-Notebook-cell {
+  margin-top: 3em;
+  margin-bottom: 3em;
+  margin-left: 5%;
+  margin-right: 5%;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell {
+  display: grid;
+  grid-template-columns: minmax(0, 1fr) min-content minmax(
+      0,
+      var(--jp-side-by-side-output-size)
+    );
+  grid-template-rows: auto minmax(0, 1fr) auto;
+  grid-template-areas:
+    'header header header'
+    'input handle output'
+    'footer footer footer';
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell.jp-mod-resizedCell {
+  grid-template-columns: minmax(0, 1fr) min-content minmax(
+      0,
+      var(--jp-side-by-side-resized-cell)
+    );
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellHeader {
+  grid-area: header;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-Cell-inputWrapper {
+  grid-area: input;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-Cell-outputWrapper {
+  /* overwrite the default margin (no vertical separation needed in side by side move */
+  margin-top: 0;
+  grid-area: output;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellFooter {
+  grid-area: footer;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellResizeHandle {
+  grid-area: handle;
+  user-select: none;
+  display: block;
+  height: 100%;
+  cursor: ew-resize;
+  padding: 0 var(--jp-cell-padding);
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellResizeHandle::after {
+  content: '';
+  display: block;
+  background: var(--jp-border-color2);
+  height: 100%;
+  width: 5px;
+}
+
+.jp-mod-sideBySide.jp-Notebook
+  .jp-CodeCell.jp-mod-resizedCell
+  .jp-CellResizeHandle::after {
+  background: var(--jp-border-color0);
+}
+
+.jp-CellResizeHandle {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Placeholder
+|----------------------------------------------------------------------------*/
+
+.jp-Cell-Placeholder {
+  padding-left: 55px;
+}
+
+.jp-Cell-Placeholder-wrapper {
+  background: #fff;
+  border: 1px solid;
+  border-color: #e5e6e9 #dfe0e4 #d0d1d5;
+  border-radius: 4px;
+  -webkit-border-radius: 4px;
+  margin: 10px 15px;
+}
+
+.jp-Cell-Placeholder-wrapper-inner {
+  padding: 15px;
+  position: relative;
+}
+
+.jp-Cell-Placeholder-wrapper-body {
+  background-repeat: repeat;
+  background-size: 50% auto;
+}
+
+.jp-Cell-Placeholder-wrapper-body div {
+  background: #f6f7f8;
+  background-image: -webkit-linear-gradient(
+    left,
+    #f6f7f8 0%,
+    #edeef1 20%,
+    #f6f7f8 40%,
+    #f6f7f8 100%
+  );
+  background-repeat: no-repeat;
+  background-size: 800px 104px;
+  height: 104px;
+  position: absolute;
+  right: 15px;
+  left: 15px;
+  top: 15px;
+}
+
+div.jp-Cell-Placeholder-h1 {
+  top: 20px;
+  height: 20px;
+  left: 15px;
+  width: 150px;
+}
+
+div.jp-Cell-Placeholder-h2 {
+  left: 15px;
+  top: 50px;
+  height: 10px;
+  width: 100px;
+}
+
+div.jp-Cell-Placeholder-content-1,
+div.jp-Cell-Placeholder-content-2,
+div.jp-Cell-Placeholder-content-3 {
+  left: 15px;
+  right: 15px;
+  height: 10px;
+}
+
+div.jp-Cell-Placeholder-content-1 {
+  top: 100px;
+}
+
+div.jp-Cell-Placeholder-content-2 {
+  top: 120px;
+}
+
+div.jp-Cell-Placeholder-content-3 {
+  top: 140px;
+}
+
+</style>
+<style type="text/css">
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*
+The following CSS variables define the main, public API for styling JupyterLab.
+These variables should be used by all plugins wherever possible. In other
+words, plugins should not define custom colors, sizes, etc unless absolutely
+necessary. This enables users to change the visual theme of JupyterLab
+by changing these variables.
+
+Many variables appear in an ordered sequence (0,1,2,3). These sequences
+are designed to work well together, so for example, `--jp-border-color1` should
+be used with `--jp-layout-color1`. The numbers have the following meanings:
+
+* 0: super-primary, reserved for special emphasis
+* 1: primary, most important under normal situations
+* 2: secondary, next most important under normal situations
+* 3: tertiary, next most important under normal situations
+
+Throughout JupyterLab, we are mostly following principles from Google's
+Material Design when selecting colors. We are not, however, following
+all of MD as it is not optimized for dense, information rich UIs.
+*/
+
+:root {
+  /* Elevation
+   *
+   * We style box-shadows using Material Design's idea of elevation. These particular numbers are taken from here:
+   *
+   * https://github.com/material-components/material-components-web
+   * https://material-components-web.appspot.com/elevation.html
+   */
+
+  --jp-shadow-base-lightness: 0;
+  --jp-shadow-umbra-color: rgba(
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    0.2
+  );
+  --jp-shadow-penumbra-color: rgba(
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    0.14
+  );
+  --jp-shadow-ambient-color: rgba(
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    0.12
+  );
+  --jp-elevation-z0: none;
+  --jp-elevation-z1: 0 2px 1px -1px var(--jp-shadow-umbra-color),
+    0 1px 1px 0 var(--jp-shadow-penumbra-color),
+    0 1px 3px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z2: 0 3px 1px -2px var(--jp-shadow-umbra-color),
+    0 2px 2px 0 var(--jp-shadow-penumbra-color),
+    0 1px 5px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z4: 0 2px 4px -1px var(--jp-shadow-umbra-color),
+    0 4px 5px 0 var(--jp-shadow-penumbra-color),
+    0 1px 10px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z6: 0 3px 5px -1px var(--jp-shadow-umbra-color),
+    0 6px 10px 0 var(--jp-shadow-penumbra-color),
+    0 1px 18px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z8: 0 5px 5px -3px var(--jp-shadow-umbra-color),
+    0 8px 10px 1px var(--jp-shadow-penumbra-color),
+    0 3px 14px 2px var(--jp-shadow-ambient-color);
+  --jp-elevation-z12: 0 7px 8px -4px var(--jp-shadow-umbra-color),
+    0 12px 17px 2px var(--jp-shadow-penumbra-color),
+    0 5px 22px 4px var(--jp-shadow-ambient-color);
+  --jp-elevation-z16: 0 8px 10px -5px var(--jp-shadow-umbra-color),
+    0 16px 24px 2px var(--jp-shadow-penumbra-color),
+    0 6px 30px 5px var(--jp-shadow-ambient-color);
+  --jp-elevation-z20: 0 10px 13px -6px var(--jp-shadow-umbra-color),
+    0 20px 31px 3px var(--jp-shadow-penumbra-color),
+    0 8px 38px 7px var(--jp-shadow-ambient-color);
+  --jp-elevation-z24: 0 11px 15px -7px var(--jp-shadow-umbra-color),
+    0 24px 38px 3px var(--jp-shadow-penumbra-color),
+    0 9px 46px 8px var(--jp-shadow-ambient-color);
+
+  /* Borders
+   *
+   * The following variables, specify the visual styling of borders in JupyterLab.
+   */
+
+  --jp-border-width: 1px;
+  --jp-border-color0: var(--md-grey-400);
+  --jp-border-color1: var(--md-grey-400);
+  --jp-border-color2: var(--md-grey-300);
+  --jp-border-color3: var(--md-grey-200);
+  --jp-inverse-border-color: var(--md-grey-600);
+  --jp-border-radius: 2px;
+
+  /* UI Fonts
+   *
+   * The UI font CSS variables are used for the typography all of the JupyterLab
+   * user interface elements that are not directly user generated content.
+   *
+   * The font sizing here is done assuming that the body font size of --jp-ui-font-size1
+   * is applied to a parent element. When children elements, such as headings, are sized
+   * in em all things will be computed relative to that body size.
+   */
+
+  --jp-ui-font-scale-factor: 1.2;
+  --jp-ui-font-size0: 0.83333em;
+  --jp-ui-font-size1: 13px; /* Base font size */
+  --jp-ui-font-size2: 1.2em;
+  --jp-ui-font-size3: 1.44em;
+  --jp-ui-font-family: system-ui, -apple-system, blinkmacsystemfont, 'Segoe UI',
+    helvetica, arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji',
+    'Segoe UI Symbol';
+
+  /*
+   * Use these font colors against the corresponding main layout colors.
+   * In a light theme, these go from dark to light.
+   */
+
+  /* Defaults use Material Design specification */
+  --jp-ui-font-color0: rgba(0, 0, 0, 1);
+  --jp-ui-font-color1: rgba(0, 0, 0, 0.87);
+  --jp-ui-font-color2: rgba(0, 0, 0, 0.54);
+  --jp-ui-font-color3: rgba(0, 0, 0, 0.38);
+
+  /*
+   * Use these against the brand/accent/warn/error colors.
+   * These will typically go from light to darker, in both a dark and light theme.
+   */
+
+  --jp-ui-inverse-font-color0: rgba(255, 255, 255, 1);
+  --jp-ui-inverse-font-color1: rgba(255, 255, 255, 1);
+  --jp-ui-inverse-font-color2: rgba(255, 255, 255, 0.7);
+  --jp-ui-inverse-font-color3: rgba(255, 255, 255, 0.5);
+
+  /* Content Fonts
+   *
+   * Content font variables are used for typography of user generated content.
+   *
+   * The font sizing here is done assuming that the body font size of --jp-content-font-size1
+   * is applied to a parent element. When children elements, such as headings, are sized
+   * in em all things will be computed relative to that body size.
+   */
+
+  --jp-content-line-height: 1.6;
+  --jp-content-font-scale-factor: 1.2;
+  --jp-content-font-size0: 0.83333em;
+  --jp-content-font-size1: 14px; /* Base font size */
+  --jp-content-font-size2: 1.2em;
+  --jp-content-font-size3: 1.44em;
+  --jp-content-font-size4: 1.728em;
+  --jp-content-font-size5: 2.0736em;
+
+  /* This gives a magnification of about 125% in presentation mode over normal. */
+  --jp-content-presentation-font-size1: 17px;
+  --jp-content-heading-line-height: 1;
+  --jp-content-heading-margin-top: 1.2em;
+  --jp-content-heading-margin-bottom: 0.8em;
+  --jp-content-heading-font-weight: 500;
+
+  /* Defaults use Material Design specification */
+  --jp-content-font-color0: rgba(0, 0, 0, 1);
+  --jp-content-font-color1: rgba(0, 0, 0, 0.87);
+  --jp-content-font-color2: rgba(0, 0, 0, 0.54);
+  --jp-content-font-color3: rgba(0, 0, 0, 0.38);
+  --jp-content-link-color: var(--md-blue-900);
+  --jp-content-font-family: system-ui, -apple-system, blinkmacsystemfont,
+    'Segoe UI', helvetica, arial, sans-serif, 'Apple Color Emoji',
+    'Segoe UI Emoji', 'Segoe UI Symbol';
+
+  /*
+   * Code Fonts
+   *
+   * Code font variables are used for typography of code and other monospaces content.
+   */
+
+  --jp-code-font-size: 13px;
+  --jp-code-line-height: 1.3077; /* 17px for 13px base */
+  --jp-code-padding: 5px; /* 5px for 13px base, codemirror highlighting needs integer px value */
+  --jp-code-font-family-default: menlo, consolas, 'DejaVu Sans Mono', monospace;
+  --jp-code-font-family: var(--jp-code-font-family-default);
+
+  /* This gives a magnification of about 125% in presentation mode over normal. */
+  --jp-code-presentation-font-size: 16px;
+
+  /* may need to tweak cursor width if you change font size */
+  --jp-code-cursor-width0: 1.4px;
+  --jp-code-cursor-width1: 2px;
+  --jp-code-cursor-width2: 4px;
+
+  /* Layout
+   *
+   * The following are the main layout colors use in JupyterLab. In a light
+   * theme these would go from light to dark.
+   */
+
+  --jp-layout-color0: white;
+  --jp-layout-color1: white;
+  --jp-layout-color2: var(--md-grey-200);
+  --jp-layout-color3: var(--md-grey-400);
+  --jp-layout-color4: var(--md-grey-600);
+
+  /* Inverse Layout
+   *
+   * The following are the inverse layout colors use in JupyterLab. In a light
+   * theme these would go from dark to light.
+   */
+
+  --jp-inverse-layout-color0: #111;
+  --jp-inverse-layout-color1: var(--md-grey-900);
+  --jp-inverse-layout-color2: var(--md-grey-800);
+  --jp-inverse-layout-color3: var(--md-grey-700);
+  --jp-inverse-layout-color4: var(--md-grey-600);
+
+  /* Brand/accent */
+
+  --jp-brand-color0: var(--md-blue-900);
+  --jp-brand-color1: var(--md-blue-700);
+  --jp-brand-color2: var(--md-blue-300);
+  --jp-brand-color3: var(--md-blue-100);
+  --jp-brand-color4: var(--md-blue-50);
+  --jp-accent-color0: var(--md-green-900);
+  --jp-accent-color1: var(--md-green-700);
+  --jp-accent-color2: var(--md-green-300);
+  --jp-accent-color3: var(--md-green-100);
+
+  /* State colors (warn, error, success, info) */
+
+  --jp-warn-color0: var(--md-orange-900);
+  --jp-warn-color1: var(--md-orange-700);
+  --jp-warn-color2: var(--md-orange-300);
+  --jp-warn-color3: var(--md-orange-100);
+  --jp-error-color0: var(--md-red-900);
+  --jp-error-color1: var(--md-red-700);
+  --jp-error-color2: var(--md-red-300);
+  --jp-error-color3: var(--md-red-100);
+  --jp-success-color0: var(--md-green-900);
+  --jp-success-color1: var(--md-green-700);
+  --jp-success-color2: var(--md-green-300);
+  --jp-success-color3: var(--md-green-100);
+  --jp-info-color0: var(--md-cyan-900);
+  --jp-info-color1: var(--md-cyan-700);
+  --jp-info-color2: var(--md-cyan-300);
+  --jp-info-color3: var(--md-cyan-100);
+
+  /* Cell specific styles */
+
+  --jp-cell-padding: 5px;
+  --jp-cell-collapser-width: 8px;
+  --jp-cell-collapser-min-height: 20px;
+  --jp-cell-collapser-not-active-hover-opacity: 0.6;
+  --jp-cell-editor-background: var(--md-grey-100);
+  --jp-cell-editor-border-color: var(--md-grey-300);
+  --jp-cell-editor-box-shadow: inset 0 0 2px var(--md-blue-300);
+  --jp-cell-editor-active-background: var(--jp-layout-color0);
+  --jp-cell-editor-active-border-color: var(--jp-brand-color1);
+  --jp-cell-prompt-width: 64px;
+  --jp-cell-prompt-font-family: var(--jp-code-font-family-default);
+  --jp-cell-prompt-letter-spacing: 0;
+  --jp-cell-prompt-opacity: 1;
+  --jp-cell-prompt-not-active-opacity: 0.5;
+  --jp-cell-prompt-not-active-font-color: var(--md-grey-700);
+
+  /* A custom blend of MD grey and blue 600
+   * See https://meyerweb.com/eric/tools/color-blend/#546E7A:1E88E5:5:hex */
+  --jp-cell-inprompt-font-color: #307fc1;
+
+  /* A custom blend of MD grey and orange 600
+   * https://meyerweb.com/eric/tools/color-blend/#546E7A:F4511E:5:hex */
+  --jp-cell-outprompt-font-color: #bf5b3d;
+
+  /* Notebook specific styles */
+
+  --jp-notebook-padding: 10px;
+  --jp-notebook-select-background: var(--jp-layout-color1);
+  --jp-notebook-multiselected-color: var(--md-blue-50);
+
+  /* The scroll padding is calculated to fill enough space at the bottom of the
+  notebook to show one single-line cell (with appropriate padding) at the top
+  when the notebook is scrolled all the way to the bottom. We also subtract one
+  pixel so that no scrollbar appears if we have just one single-line cell in the
+  notebook. This padding is to enable a 'scroll past end' feature in a notebook.
+  */
+  --jp-notebook-scroll-padding: calc(
+    100% - var(--jp-code-font-size) * var(--jp-code-line-height) -
+      var(--jp-code-padding) - var(--jp-cell-padding) - 1px
+  );
+
+  /* Rendermime styles */
+
+  --jp-rendermime-error-background: #fdd;
+  --jp-rendermime-table-row-background: var(--md-grey-100);
+  --jp-rendermime-table-row-hover-background: var(--md-light-blue-50);
+
+  /* Dialog specific styles */
+
+  --jp-dialog-background: rgba(0, 0, 0, 0.25);
+
+  /* Console specific styles */
+
+  --jp-console-padding: 10px;
+
+  /* Toolbar specific styles */
+
+  --jp-toolbar-border-color: var(--jp-border-color1);
+  --jp-toolbar-micro-height: 8px;
+  --jp-toolbar-background: var(--jp-layout-color1);
+  --jp-toolbar-box-shadow: 0 0 2px 0 rgba(0, 0, 0, 0.24);
+  --jp-toolbar-header-margin: 4px 4px 0 4px;
+  --jp-toolbar-active-background: var(--md-grey-300);
+
+  /* Statusbar specific styles */
+
+  --jp-statusbar-height: 24px;
+
+  /* Input field styles */
+
+  --jp-input-box-shadow: inset 0 0 2px var(--md-blue-300);
+  --jp-input-active-background: var(--jp-layout-color1);
+  --jp-input-hover-background: var(--jp-layout-color1);
+  --jp-input-background: var(--md-grey-100);
+  --jp-input-border-color: var(--jp-inverse-border-color);
+  --jp-input-active-border-color: var(--jp-brand-color1);
+  --jp-input-active-box-shadow-color: rgba(19, 124, 189, 0.3);
+
+  /* General editor styles */
+
+  --jp-editor-selected-background: #d9d9d9;
+  --jp-editor-selected-focused-background: #d7d4f0;
+  --jp-editor-cursor-color: var(--jp-ui-font-color0);
+
+  /* Code mirror specific styles */
+
+  --jp-mirror-editor-keyword-color: #008000;
+  --jp-mirror-editor-atom-color: #88f;
+  --jp-mirror-editor-number-color: #080;
+  --jp-mirror-editor-def-color: #00f;
+  --jp-mirror-editor-variable-color: var(--md-grey-900);
+  --jp-mirror-editor-variable-2-color: rgb(0, 54, 109);
+  --jp-mirror-editor-variable-3-color: #085;
+  --jp-mirror-editor-punctuation-color: #05a;
+  --jp-mirror-editor-property-color: #05a;
+  --jp-mirror-editor-operator-color: #a2f;
+  --jp-mirror-editor-comment-color: #408080;
+  --jp-mirror-editor-string-color: #ba2121;
+  --jp-mirror-editor-string-2-color: #708;
+  --jp-mirror-editor-meta-color: #a2f;
+  --jp-mirror-editor-qualifier-color: #555;
+  --jp-mirror-editor-builtin-color: #008000;
+  --jp-mirror-editor-bracket-color: #997;
+  --jp-mirror-editor-tag-color: #170;
+  --jp-mirror-editor-attribute-color: #00c;
+  --jp-mirror-editor-header-color: blue;
+  --jp-mirror-editor-quote-color: #090;
+  --jp-mirror-editor-link-color: #00c;
+  --jp-mirror-editor-error-color: #f00;
+  --jp-mirror-editor-hr-color: #999;
+
+  /*
+    RTC user specific colors.
+    These colors are used for the cursor, username in the editor,
+    and the icon of the user.
+  */
+
+  --jp-collaborator-color1: #ffad8e;
+  --jp-collaborator-color2: #dac83d;
+  --jp-collaborator-color3: #72dd76;
+  --jp-collaborator-color4: #00e4d0;
+  --jp-collaborator-color5: #45d4ff;
+  --jp-collaborator-color6: #e2b1ff;
+  --jp-collaborator-color7: #ff9de6;
+
+  /* Vega extension styles */
+
+  --jp-vega-background: white;
+
+  /* Sidebar-related styles */
+
+  --jp-sidebar-min-width: 250px;
+
+  /* Search-related styles */
+
+  --jp-search-toggle-off-opacity: 0.5;
+  --jp-search-toggle-hover-opacity: 0.8;
+  --jp-search-toggle-on-opacity: 1;
+  --jp-search-selected-match-background-color: rgb(245, 200, 0);
+  --jp-search-selected-match-color: black;
+  --jp-search-unselected-match-background-color: var(
+    --jp-inverse-layout-color0
+  );
+  --jp-search-unselected-match-color: var(--jp-ui-inverse-font-color0);
+
+  /* Icon colors that work well with light or dark backgrounds */
+  --jp-icon-contrast-color0: var(--md-purple-600);
+  --jp-icon-contrast-color1: var(--md-green-600);
+  --jp-icon-contrast-color2: var(--md-pink-600);
+  --jp-icon-contrast-color3: var(--md-blue-600);
+
+  /* Button colors */
+  --jp-accept-color-normal: var(--md-blue-700);
+  --jp-accept-color-hover: var(--md-blue-800);
+  --jp-accept-color-active: var(--md-blue-900);
+  --jp-warn-color-normal: var(--md-red-700);
+  --jp-warn-color-hover: var(--md-red-800);
+  --jp-warn-color-active: var(--md-red-900);
+  --jp-reject-color-normal: var(--md-grey-600);
+  --jp-reject-color-hover: var(--md-grey-700);
+  --jp-reject-color-active: var(--md-grey-800);
+
+  /* File or activity icons and switch semantic variables */
+  --jp-jupyter-icon-color: #f37626;
+  --jp-notebook-icon-color: #f37626;
+  --jp-json-icon-color: var(--md-orange-700);
+  --jp-console-icon-background-color: var(--md-blue-700);
+  --jp-console-icon-color: white;
+  --jp-terminal-icon-background-color: var(--md-grey-800);
+  --jp-terminal-icon-color: var(--md-grey-200);
+  --jp-text-editor-icon-color: var(--md-grey-700);
+  --jp-inspector-icon-color: var(--md-grey-700);
+  --jp-switch-color: var(--md-grey-400);
+  --jp-switch-true-position-color: var(--md-orange-900);
+}
+</style>
+<style type="text/css">
+/* Force rendering true colors when outputing to pdf */
+* {
+  -webkit-print-color-adjust: exact;
+}
+
+/* Misc */
+a.anchor-link {
+  display: none;
+}
+
+/* Input area styling */
+.jp-InputArea {
+  overflow: hidden;
+}
+
+.jp-InputArea-editor {
+  overflow: hidden;
+}
+
+.cm-editor.cm-s-jupyter .highlight pre {
+/* weird, but --jp-code-padding defined to be 5px but 4px horizontal padding is hardcoded for pre.cm-line */
+  padding: var(--jp-code-padding) 4px;
+  margin: 0;
+
+  font-family: inherit;
+  font-size: inherit;
+  line-height: inherit;
+  color: inherit;
+
+}
+
+.jp-OutputArea-output pre {
+  line-height: inherit;
+  font-family: inherit;
+}
+
+.jp-RenderedText pre {
+  color: var(--jp-content-font-color1);
+  font-size: var(--jp-code-font-size);
+}
+
+/* Hiding the collapser by default */
+.jp-Collapser {
+  display: none;
+}
+
+@page {
+    margin: 0.5in; /* Margin for each printed piece of paper */
+}
+
+@media print {
+  .jp-Cell-inputWrapper,
+  .jp-Cell-outputWrapper {
+    display: block;
+  }
+}
+</style>
+<!-- Load mathjax -->
+<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/latest.js?config=TeX-AMS_CHTML-full,Safe"> </script>
+<!-- MathJax configuration -->
+<script type="text/x-mathjax-config">
+    init_mathjax = function() {
+        if (window.MathJax) {
+        // MathJax loaded
+            MathJax.Hub.Config({
+                TeX: {
+                    equationNumbers: {
+                    autoNumber: "AMS",
+                    useLabelIds: true
+                    }
+                },
+                tex2jax: {
+                    inlineMath: [ ['$','$'], ["\\(","\\)"] ],
+                    displayMath: [ ['$$','$$'], ["\\[","\\]"] ],
+                    processEscapes: true,
+                    processEnvironments: true
+                },
+                displayAlign: 'center',
+                CommonHTML: {
+                    linebreaks: {
+                    automatic: true
+                    }
+                }
+            });
+
+            MathJax.Hub.Queue(["Typeset", MathJax.Hub]);
+        }
+    }
+    init_mathjax();
+    </script>
+<!-- End of mathjax configuration --><script type="module">
+  document.addEventListener("DOMContentLoaded", async () => {
+    const diagrams = document.querySelectorAll(".jp-Mermaid > pre.mermaid");
+    // do not load mermaidjs if not needed
+    if (!diagrams.length) {
+      return;
+    }
+    const mermaid = (await import("https://cdnjs.cloudflare.com/ajax/libs/mermaid/10.6.0/mermaid.esm.min.mjs")).default;
+    const parser = new DOMParser();
+
+    mermaid.initialize({
+      maxTextSize: 100000,
+      startOnLoad: false,
+      fontFamily: window
+        .getComputedStyle(document.body)
+        .getPropertyValue("--jp-ui-font-family"),
+      theme: document.querySelector("body[data-jp-theme-light='true']")
+        ? "default"
+        : "dark",
+    });
+
+    let _nextMermaidId = 0;
+
+    function makeMermaidImage(svg) {
+      const img = document.createElement("img");
+      const doc = parser.parseFromString(svg, "image/svg+xml");
+      const svgEl = doc.querySelector("svg");
+      const { maxWidth } = svgEl?.style || {};
+      const firstTitle = doc.querySelector("title");
+      const firstDesc = doc.querySelector("desc");
+
+      img.setAttribute("src", `data:image/svg+xml,${encodeURIComponent(svg)}`);
+      if (maxWidth) {
+        img.width = parseInt(maxWidth);
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+<body class="jp-Notebook" data-jp-theme-light="true" data-jp-theme-name="JupyterLab Light">
+<main>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h1 id="Advanced-Linking:-Subnetworks-and-search_range">Advanced Linking: Subnetworks and <code>search_range</code><a class="anchor-link" href="#Advanced-Linking:-Subnetworks-and-search_range">¶</a></h1><h2 id="Introduction">Introduction<a class="anchor-link" href="#Introduction">¶</a></h2><p>The goal of the linking step is to find the most likely set of assignments that match each feature in the previous frame with its counterpart in the current frame. This is not always trivial: the correct match for a feature is not always the one closest in distance, and some particles disappear or are introduced with each new frame, leaving  features dangling. In theory, doing this for $N$ particles involves evaluating all $N!$ possible sets of assignments, and choosing the best set.</p>
+<p>Such a computation is time-consuming — infeasibly so for more than a few dozen particles. Instead, for each particle in the previous frame, <code>trackpy</code> restricts its search of the current frame to a circular region of radius <code>search_range</code>, centered on the particle's most likely new position. One supplies an appropriate <code>search_range</code> as an arugment to the <code>link</code> family of functions, so that for each particle, there will be at most a few candidate features to consider.</p>
+<p>The <code>search_range</code> technique usually speeds up linking, but it does not solve the basic problem. Consider the following (admittedly pathological) example, in which a grid of points in the first frame (large blue dots) mysteriously shifts and loses particles in the second frame (small green dots).</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [1]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">trackpy</span>
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="c1"># change this to %matplotlib notebook for interactive plotting</span>
+<span class="o">%</span><span class="k">matplotlib</span> inline
+<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [2]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">x0</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mgrid</span><span class="p">[</span><span class="o">-</span><span class="mi">4</span><span class="p">:</span><span class="mi">5</span><span class="p">,</span><span class="o">-</span><span class="mi">4</span><span class="p">:</span><span class="mi">5</span><span class="p">]</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="nb">float</span><span class="p">)</span>
+<span class="n">x0</span><span class="p">[</span><span class="n">x0</span> <span class="o">==</span> <span class="mi">0</span><span class="p">]</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">nan</span>
+<span class="n">x0</span> <span class="o">+=</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">normal</span><span class="p">(</span><span class="n">scale</span><span class="o">=</span><span class="mf">0.05</span><span class="p">,</span> <span class="n">size</span><span class="o">=</span><span class="n">x0</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
+<span class="n">pts0</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="nb">dict</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="n">x0</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">flatten</span><span class="p">(),</span> <span class="n">y</span><span class="o">=</span><span class="n">x0</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">flatten</span><span class="p">(),</span> <span class="n">frame</span><span class="o">=</span><span class="mi">0</span><span class="p">))</span><span class="o">.</span><span class="n">dropna</span><span class="p">()</span>
+
+<span class="n">y0</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mgrid</span><span class="p">[</span><span class="o">-</span><span class="mi">4</span><span class="p">:</span><span class="mi">4</span><span class="p">,</span><span class="o">-</span><span class="mi">4</span><span class="p">:</span><span class="mi">4</span><span class="p">]</span> <span class="o">+</span> <span class="mf">0.5</span>
+<span class="n">y0</span><span class="p">[</span><span class="n">y0</span> <span class="o">==</span> <span class="mf">0.5</span><span class="p">]</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">nan</span>
+<span class="n">y0</span> <span class="o">+=</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">normal</span><span class="p">(</span><span class="n">scale</span><span class="o">=</span><span class="mf">0.05</span><span class="p">,</span> <span class="n">size</span><span class="o">=</span><span class="n">y0</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
+<span class="n">pts1</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="nb">dict</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="n">y0</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">flatten</span><span class="p">(),</span> <span class="n">y</span><span class="o">=</span><span class="n">y0</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">flatten</span><span class="p">(),</span> <span class="n">frame</span><span class="o">=</span><span class="mi">1</span><span class="p">))</span><span class="o">.</span><span class="n">dropna</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [3]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">ax1</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">6</span><span class="p">,</span><span class="mi">6</span><span class="p">))</span><span class="o">.</span><span class="n">add_subplot</span><span class="p">(</span><span class="mi">111</span><span class="p">)</span>
+<span class="n">ax1</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">pts0</span><span class="o">.</span><span class="n">x</span><span class="p">,</span> <span class="n">pts0</span><span class="o">.</span><span class="n">y</span><span class="p">,</span> <span class="s1">'bo'</span><span class="p">)</span>
+<span class="n">ax1</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">pts1</span><span class="o">.</span><span class="n">x</span><span class="p">,</span> <span class="n">pts1</span><span class="o">.</span><span class="n">y</span><span class="p">,</span> <span class="s1">'g.'</span><span class="p">)</span>
+<span class="n">ax1</span><span class="o">.</span><span class="n">axis</span><span class="p">(</span><span class="s1">'equal'</span><span class="p">)</span>
+<span class="n">ax1</span><span class="o">.</span><span class="n">set_xlim</span><span class="p">([</span><span class="o">-</span><span class="mi">5</span><span class="p">,</span> <span class="mi">5</span><span class="p">])</span>
+<span class="n">ax1</span><span class="o">.</span><span class="n">set_ylim</span><span class="p">([</span><span class="o">-</span><span class="mi">5</span><span class="p">,</span> <span class="mi">5</span><span class="p">])</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+</div>
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+"/>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>Thanks to a judicious choice of <a href="https://github.com/soft-matter/trackpy/blob/22079e88629935cb2aca5f50e5d3978cd42ad95c/trackpy/linking/subnet.py#L133"><code>search_range</code></a> (roughly 0.9 would be appropriate), instead of evaluating $\sim N!$ possibilities for the entire frame, we are now left with 4 independent <em>subnetworks</em> (or "subnets") of $n$ particles and their $\sim n!$ possibilities. But 
+<code>trackpy</code> must still decide how to form trajectories within each subnet — how to link the blue and green dots, and which unlucky features from the first frame must go unlinked. If we intuitively assume that particles are unlikely to move by large distances, there is an optimal, most-likely solution. But the problem is generally non-trivial — just try to do it by eye! (For details, see <a href="http://crocker.seas.upenn.edu/CrockerGrier1996b.pdf">the original paper by Crocker &amp; Grier</a>, referenced in the introduction to the <code>trackpy</code> documentation. In general not all $n!$ possibilities are explicitly evaluated, but very many are.)</p>
+<p>The preceding example is a little extreme, but non-trivial subnets do arise in many practical tracking applications. Solving subnets is usually the most time-consuming part of the linking process, and can sometimes even make <code>trackpy</code>'s algorithm unusable. With certain types of movies, controlling the size of subnets is the central challenge of the linking step.</p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="Techniques-for-limiting-subnetwork-size">Techniques for limiting subnetwork size<a class="anchor-link" href="#Techniques-for-limiting-subnetwork-size">¶</a></h2><p>In light of this example, there are several <code>trackpy</code> features related to this problem at the heart of tracking:</p>
+<h3 id="search_range"><code>search_range</code><a class="anchor-link" href="#search_range">¶</a></h3><p>The <a href="https://github.com/soft-matter/trackpy/blob/22079e88629935cb2aca5f50e5d3978cd42ad95c/trackpy/linking/subnet.py#L133"><code>search_range</code></a> radius can be adjusted, causing subnets to include more or fewer particles.</p>
+<p>Ideally, <code>search_range</code> should be larger than the largest displacement of any particle between successive frames, but smaller than the smallest separation between any two particles. <code>trackpy</code> will then typically find just one candidate for each particle's next position, avoiding complex subnetworks altogether. Sometimes this arrangement is possible: the two length scales are very different, and so choosing a <code>search_range</code> between them is easy.</p>
+<p>When those two scales are closer to each other, or when they vary significantly across the image, there can be problems. To avoid unbearably large subnetworks, one's options for <code>search_range</code> are not always practical (or even possible):</p>
+<ul>
+<li>Reduce <code>search_range</code> so much that many particles are left untracked or incorrectly tracked.</li>
+<li>Lower the density of particles in the frame.</li>
+<li>Increase the camera framerate (to have smaller displacements between successive frames).</li>
+</ul>
+<p>Such a dilemma often arises for dense packings of particles.</p>
+<h3 id="Subnetwork-size-limit">Subnetwork size limit<a class="anchor-link" href="#Subnetwork-size-limit">¶</a></h3><p>When faced with a subnetwork of $n$ particles, is may be simply unreasonable to consider those $\sim n!$ possibilities. In order to avoid taking hours, days, or weeks to link a single pair of frames, <code>trackpy</code> sets a limit on the number of particles $n$ involved in a single subnet computation; if this limit is exceeded, the linking step aborts by raising a <code>SubnetOversizeException</code>. This limit is an integer number of particles, stored in <code>trackpy.linking.Linker.MAX_SUB_NET_SIZE</code>. Depending on your patience and the speed of your computer, you can adjust this limit, keeping in mind that the time required for these computations generally scales as $n!$.</p>
+<h3 id="Accelerated-subnetwork-solver">Accelerated subnetwork solver<a class="anchor-link" href="#Accelerated-subnetwork-solver">¶</a></h3><p>In the tutorial on performance, we briefly discuss how to measure the time spent on subnet computations, and how <code>trackpy</code> can use the <code>numba</code> package to greatly speed them up. In most cases, you already have <code>numba</code> and <code>trackpy</code> is using it, but it is worth checking if you are unsure.</p>
+<h3 id="Prediction">Prediction<a class="anchor-link" href="#Prediction">¶</a></h3><p>The region of radius <code>search_range</code> is centered on what <code>trackpy</code> guesses as the most likely future position for the particle. Improving this guess may allow one to use a smaller <code>search_range</code>. This is called <em>prediction</em> and is the subject of one of the tutorials.</p>
+<h3 id="Adaptive-search">Adaptive search<a class="anchor-link" href="#Adaptive-search">¶</a></h3><p>Rather than having to choose a single value of <code>search_range</code> for the entire image (with its attendant tradeoffs), one can specify a <em>maximum</em> value, and let <code>trackpy</code> reduce it where necessary. This essentially gives <code>trackpy</code> license to ignore some potentially valid candidates, but only when the alternative is to halt with a <code>SubnetOversizeException</code>. It is a "scalpel" approach, as opposed to the usual hatchet of repeatedly cutting the global <code>search_range</code> and retrying linking until a <code>SubnetOversizeException</code> is no longer raised. This feature is called <em>adaptive search</em> and is discussed in its own tutorial.</p>
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+<li class="toctree-l1"><a class="reference internal" href="../api.html">API reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../whatsnew.html">What’s new in the package</a></li>
+</ul>
+<ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="walkthrough.html">Walkthrough</a></li>
+<li class="toctree-l1"><a class="reference internal" href="prediction.html">Prediction (Linking)</a></li>
+<li class="toctree-l1 current"><a class="current reference internal" href="#">Tracking in 3D</a></li>
+<li class="toctree-l1"><a class="reference internal" href="uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="performance.html">Performance</a></li>
+<li class="toctree-l1"><a class="reference internal" href="parallel-locate.html">Parallelized Feature Finding</a></li>
+<li class="toctree-l1"><a class="reference internal" href="custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
+<li class="toctree-l1"><a class="reference internal" href="brightfield.html">Tracking Particles' Rings in Bright-Field Microscopy</a></li>
+</ul>
+</ul>
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+}
+
+.lm-TabBar[data-orientation='vertical'] > .lm-TabBar-content {
+  flex-direction: column;
+}
+
+.lm-TabBar-tab {
+  display: flex;
+  flex-direction: row;
+  box-sizing: border-box;
+  overflow: hidden;
+  touch-action: none; /* Disable native Drag/Drop */
+}
+
+.lm-TabBar-tabIcon,
+.lm-TabBar-tabCloseIcon {
+  flex: 0 0 auto;
+}
+
+.lm-TabBar-tabLabel {
+  flex: 1 1 auto;
+  overflow: hidden;
+  white-space: nowrap;
+}
+
+.lm-TabBar-tabInput {
+  user-select: all;
+  width: 100%;
+  box-sizing: border-box;
+}
+
+.lm-TabBar-tab.lm-mod-hidden {
+  display: none !important;
+}
+
+.lm-TabBar-addButton.lm-mod-hidden {
+  display: none !important;
+}
+
+.lm-TabBar.lm-mod-dragging .lm-TabBar-tab {
+  position: relative;
+}
+
+.lm-TabBar.lm-mod-dragging[data-orientation='horizontal'] .lm-TabBar-tab {
+  left: 0;
+  transition: left 150ms ease;
+}
+
+.lm-TabBar.lm-mod-dragging[data-orientation='vertical'] .lm-TabBar-tab {
+  top: 0;
+  transition: top 150ms ease;
+}
+
+.lm-TabBar.lm-mod-dragging .lm-TabBar-tab.lm-mod-dragging {
+  transition: none;
+}
+
+.lm-TabBar-tabLabel .lm-TabBar-tabInput {
+  user-select: all;
+  width: 100%;
+  box-sizing: border-box;
+  background: inherit;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-TabPanel-tabBar {
+  z-index: 1;
+}
+
+.lm-TabPanel-stackedPanel {
+  z-index: 0;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Collapse {
+  display: flex;
+  flex-direction: column;
+  align-items: stretch;
+}
+
+.jp-Collapse-header {
+  padding: 1px 12px;
+  background-color: var(--jp-layout-color1);
+  border-bottom: solid var(--jp-border-width) var(--jp-border-color2);
+  color: var(--jp-ui-font-color1);
+  cursor: pointer;
+  display: flex;
+  align-items: center;
+  font-size: var(--jp-ui-font-size0);
+  font-weight: 600;
+  text-transform: uppercase;
+  user-select: none;
+}
+
+.jp-Collapser-icon {
+  height: 16px;
+}
+
+.jp-Collapse-header-collapsed .jp-Collapser-icon {
+  transform: rotate(-90deg);
+  margin: auto 0;
+}
+
+.jp-Collapser-title {
+  line-height: 25px;
+}
+
+.jp-Collapse-contents {
+  padding: 0 12px;
+  background-color: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  overflow: auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/* This file was auto-generated by ensureUiComponents() in @jupyterlab/buildutils */
+
+/**
+ * (DEPRECATED) Support for consuming icons as CSS background images
+ */
+
+/* Icons urls */
+
+:root {
+  --jp-icon-add-above: url(data:image/svg+xml;base64,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);
+  --jp-icon-add-below: url(data:image/svg+xml;base64,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);
+  --jp-icon-add: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE5IDEzaC02djZoLTJ2LTZINXYtMmg2VjVoMnY2aDZ2MnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-bell: url(data:image/svg+xml;base64,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);
+  --jp-icon-bug-dot: url(data:image/svg+xml;base64,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);
+  --jp-icon-bug: url(data:image/svg+xml;base64,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);
+  --jp-icon-build: url(data:image/svg+xml;base64,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);
+  --jp-icon-caret-down-empty-thin: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwIDIwIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwb2x5Z29uIGNsYXNzPSJzdDEiIHBvaW50cz0iOS45LDEzLjYgMy42LDcuNCA0LjQsNi42IDkuOSwxMi4yIDE1LjQsNi43IDE2LjEsNy40ICIvPgoJPC9nPgo8L3N2Zz4K);
+  --jp-icon-caret-down-empty: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik01LjIsNS45TDksOS43bDMuOC0zLjhsMS4yLDEuMmwtNC45LDVsLTQuOS01TDUuMiw1Ljl6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-caret-down: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik01LjIsNy41TDksMTEuMmwzLjgtMy44SDUuMnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-caret-left: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwYXRoIGQ9Ik0xMC44LDEyLjhMNy4xLDlsMy44LTMuOGwwLDcuNkgxMC44eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-caret-right: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik03LjIsNS4yTDEwLjksOWwtMy44LDMuOFY1LjJINy4yeiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-caret-up-empty-thin: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwIDIwIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwb2x5Z29uIGNsYXNzPSJzdDEiIHBvaW50cz0iMTUuNCwxMy4zIDkuOSw3LjcgNC40LDEzLjIgMy42LDEyLjUgOS45LDYuMyAxNi4xLDEyLjYgIi8+Cgk8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-caret-up: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwYXRoIGQ9Ik01LjIsMTAuNUw5LDYuOGwzLjgsMy44SDUuMnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-case-sensitive: url(data:image/svg+xml;base64,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);
+  --jp-icon-check: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIj4KICAgIDxwYXRoIGQ9Ik05IDE2LjE3TDQuODMgMTJsLTEuNDIgMS40MUw5IDE5IDIxIDdsLTEuNDEtMS40MXoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-circle-empty: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyIDJDNi40NyAyIDIgNi40NyAyIDEyczQuNDcgMTAgMTAgMTAgMTAtNC40NyAxMC0xMFMxNy41MyAyIDEyIDJ6bTAgMThjLTQuNDEgMC04LTMuNTktOC04czMuNTktOCA4LTggOCAzLjU5IDggOC0zLjU5IDgtOCA4eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-circle: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMTggMTgiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPGNpcmNsZSBjeD0iOSIgY3k9IjkiIHI9IjgiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-clear: url(data:image/svg+xml;base64,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);
+  --jp-icon-close: url(data:image/svg+xml;base64,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);
+  --jp-icon-code-check: url(data:image/svg+xml;base64,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);
+  --jp-icon-code: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjIiIGhlaWdodD0iMjIiIHZpZXdCb3g9IjAgMCAyOCAyOCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CgkJPHBhdGggZD0iTTExLjQgMTguNkw2LjggMTRMMTEuNCA5LjRMMTAgOEw0IDE0TDEwIDIwTDExLjQgMTguNlpNMTYuNiAxOC42TDIxLjIgMTRMMTYuNiA5LjRMMTggOEwyNCAxNEwxOCAyMEwxNi42IDE4LjZWMTguNloiLz4KCTwvZz4KPC9zdmc+Cg==);
+  --jp-icon-collapse-all: url(data:image/svg+xml;base64,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);
+  --jp-icon-console: url(data:image/svg+xml;base64,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);
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+  --jp-icon-copyright: url(data:image/svg+xml;base64,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);
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+  --jp-icon-delete: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAyNCAyNCIgd2lkdGg9IjE2cHgiIGhlaWdodD0iMTZweCI+CiAgICA8cGF0aCBkPSJNMCAwaDI0djI0SDB6IiBmaWxsPSJub25lIiAvPgogICAgPHBhdGggY2xhc3M9ImpwLWljb24zIiBmaWxsPSIjNjI2MjYyIiBkPSJNNiAxOWMwIDEuMS45IDIgMiAyaDhjMS4xIDAgMi0uOSAyLTJWN0g2djEyek0xOSA0aC0zLjVsLTEtMWgtNWwtMSAxSDV2MmgxNFY0eiIgLz4KPC9zdmc+Cg==);
+  --jp-icon-download: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE5IDloLTRWM0g5djZINWw3IDcgNy03ek01IDE4djJoMTR2LTJINXoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-duplicate: url(data:image/svg+xml;base64,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);
+  --jp-icon-edit: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTMgMTcuMjVWMjFoMy43NUwxNy44MSA5Ljk0bC0zLjc1LTMuNzVMMyAxNy4yNXpNMjAuNzEgNy4wNGMuMzktLjM5LjM5LTEuMDIgMC0xLjQxbC0yLjM0LTIuMzRjLS4zOS0uMzktMS4wMi0uMzktMS40MSAwbC0xLjgzIDEuODMgMy43NSAzLjc1IDEuODMtMS44M3oiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-ellipses: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPGNpcmNsZSBjeD0iNSIgY3k9IjEyIiByPSIyIi8+CiAgICA8Y2lyY2xlIGN4PSIxMiIgY3k9IjEyIiByPSIyIi8+CiAgICA8Y2lyY2xlIGN4PSIxOSIgY3k9IjEyIiByPSIyIi8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-error: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KPGcgY2xhc3M9ImpwLWljb24zIiBmaWxsPSIjNjE2MTYxIj48Y2lyY2xlIGN4PSIxMiIgY3k9IjE5IiByPSIyIi8+PHBhdGggZD0iTTEwIDNoNHYxMmgtNHoiLz48L2c+CjxwYXRoIGZpbGw9Im5vbmUiIGQ9Ik0wIDBoMjR2MjRIMHoiLz4KPC9zdmc+Cg==);
+  --jp-icon-expand-all: url(data:image/svg+xml;base64,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);
+  --jp-icon-extension: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTIwLjUgMTFIMTlWN2MwLTEuMS0uOS0yLTItMmgtNFYzLjVDMTMgMi4xMiAxMS44OCAxIDEwLjUgMVM4IDIuMTIgOCAzLjVWNUg0Yy0xLjEgMC0xLjk5LjktMS45OSAydjMuOEgzLjVjMS40OSAwIDIuNyAxLjIxIDIuNyAyLjdzLTEuMjEgMi43LTIuNyAyLjdIMlYyMGMwIDEuMS45IDIgMiAyaDMuOHYtMS41YzAtMS40OSAxLjIxLTIuNyAyLjctMi43IDEuNDkgMCAyLjcgMS4yMSAyLjcgMi43VjIySDE3YzEuMSAwIDItLjkgMi0ydi00aDEuNWMxLjM4IDAgMi41LTEuMTIgMi41LTIuNVMyMS44OCAxMSAyMC41IDExeiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-fast-forward: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIyNCIgaGVpZ2h0PSIyNCIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTQgMThsOC41LTZMNCA2djEyem05LTEydjEybDguNS02TDEzIDZ6Ii8+CiAgICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-file-upload: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTkgMTZoNnYtNmg0bC03LTctNyA3aDR6bS00IDJoMTR2Mkg1eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-file: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8cGF0aCBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMTkuMyA4LjJsLTUuNS01LjVjLS4zLS4zLS43LS41LTEuMi0uNUgzLjljLS44LjEtMS42LjktMS42IDEuOHYxNC4xYzAgLjkuNyAxLjYgMS42IDEuNmgxNC4yYy45IDAgMS42LS43IDEuNi0xLjZWOS40Yy4xLS41LS4xLS45LS40LTEuMnptLTUuOC0zLjNsMy40IDMuNmgtMy40VjQuOXptMy45IDEyLjdINC43Yy0uMSAwLS4yIDAtLjItLjJWNC43YzAtLjIuMS0uMy4yLS4zaDcuMnY0LjRzMCAuOC4zIDEuMWMuMy4zIDEuMS4zIDEuMS4zaDQuM3Y3LjJzLS4xLjItLjIuMnoiLz4KPC9zdmc+Cg==);
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+  --jp-icon-filter-list: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEwIDE4aDR2LTJoLTR2MnpNMyA2djJoMThWNkgzem0zIDdoMTJ2LTJINnYyeiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-filter: url(data:image/svg+xml;base64,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);
+  --jp-icon-folder-favorite: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIGhlaWdodD0iMjRweCIgdmlld0JveD0iMCAwIDI0IDI0IiB3aWR0aD0iMjRweCIgZmlsbD0iIzAwMDAwMCI+CiAgPHBhdGggZD0iTTAgMGgyNHYyNEgwVjB6IiBmaWxsPSJub25lIi8+PHBhdGggY2xhc3M9ImpwLWljb24zIGpwLWljb24tc2VsZWN0YWJsZSIgZmlsbD0iIzYxNjE2MSIgZD0iTTIwIDZoLThsLTItMkg0Yy0xLjEgMC0yIC45LTIgMnYxMmMwIDEuMS45IDIgMiAyaDE2YzEuMSAwIDItLjkgMi0yVjhjMC0xLjEtLjktMi0yLTJ6bS0yLjA2IDExTDE1IDE1LjI4IDEyLjA2IDE3bC43OC0zLjMzLTIuNTktMi4yNCAzLjQxLS4yOUwxNSA4bDEuMzQgMy4xNCAzLjQxLjI5LTIuNTkgMi4yNC43OCAzLjMzeiIvPgo8L3N2Zz4K);
+  --jp-icon-folder: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMTAgNEg0Yy0xLjEgMC0xLjk5LjktMS45OSAyTDIgMThjMCAxLjEuOSAyIDIgMmgxNmMxLjEgMCAyLS45IDItMlY4YzAtMS4xLS45LTItMi0yaC04bC0yLTJ6Ii8+Cjwvc3ZnPgo=);
+  --jp-icon-home: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIGhlaWdodD0iMjRweCIgdmlld0JveD0iMCAwIDI0IDI0IiB3aWR0aD0iMjRweCIgZmlsbD0iIzAwMDAwMCI+CiAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPjxwYXRoIGNsYXNzPSJqcC1pY29uMyBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xMCAyMHYtNmg0djZoNXYtOGgzTDEyIDMgMiAxMmgzdjh6Ii8+Cjwvc3ZnPgo=);
+  --jp-icon-html5: url(data:image/svg+xml;base64,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);
+  --jp-icon-image: url(data:image/svg+xml;base64,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);
+  --jp-icon-info: url(data:image/svg+xml;base64,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);
+  --jp-icon-inspector: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaW5zcGVjdG9yLWljb24tY29sb3IganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMjAgNEg0Yy0xLjEgMC0xLjk5LjktMS45OSAyTDIgMThjMCAxLjEuOSAyIDIgMmgxNmMxLjEgMCAyLS45IDItMlY2YzAtMS4xLS45LTItMi0yem0tNSAxNEg0di00aDExdjR6bTAtNUg0VjloMTF2NHptNSA1aC00VjloNHY5eiIvPgo8L3N2Zz4K);
+  --jp-icon-json: url(data:image/svg+xml;base64,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);
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+  --jp-icon-jupyter-favicon: url(data:image/svg+xml;base64,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);
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+  --jp-icon-kernel: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGNsYXNzPSJqcC1pY29uMiIgZmlsbD0iIzYxNjE2MSIgZD0iTTE1IDlIOXY2aDZWOXptLTIgNGgtMnYtMmgydjJ6bTgtMlY5aC0yVjdjMC0xLjEtLjktMi0yLTJoLTJWM2gtMnYyaC0yVjNIOXYySDdjLTEuMSAwLTIgLjktMiAydjJIM3YyaDJ2MkgzdjJoMnYyYzAgMS4xLjkgMiAyIDJoMnYyaDJ2LTJoMnYyaDJ2LTJoMmMxLjEgMCAyLS45IDItMnYtMmgydi0yaC0ydi0yaDJ6bS00IDZIN1Y3aDEwdjEweiIvPgo8L3N2Zz4K);
+  --jp-icon-keyboard: url(data:image/svg+xml;base64,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);
+  --jp-icon-launch: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMzIgMzIiIHdpZHRoPSIzMiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIj4KICAgIDxwYXRoIGQ9Ik0yNiwyOEg2YTIuMDAyNywyLjAwMjcsMCwwLDEtMi0yVjZBMi4wMDI3LDIuMDAyNywwLDAsMSw2LDRIMTZWNkg2VjI2SDI2VjE2aDJWMjZBMi4wMDI3LDIuMDAyNywwLDAsMSwyNiwyOFoiLz4KICAgIDxwb2x5Z29uIHBvaW50cz0iMjAgMiAyMCA0IDI2LjU4NiA0IDE4IDEyLjU4NiAxOS40MTQgMTQgMjggNS40MTQgMjggMTIgMzAgMTIgMzAgMiAyMCAyIi8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-launcher: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMTkgMTlINVY1aDdWM0g1YTIgMiAwIDAwLTIgMnYxNGEyIDIgMCAwMDIgMmgxNGMxLjEgMCAyLS45IDItMnYtN2gtMnY3ek0xNCAzdjJoMy41OWwtOS44MyA5LjgzIDEuNDEgMS40MUwxOSA2LjQxVjEwaDJWM2gtN3oiLz4KPC9zdmc+Cg==);
+  --jp-icon-line-form: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGZpbGw9IndoaXRlIiBkPSJNNS44OCA0LjEyTDEzLjc2IDEybC03Ljg4IDcuODhMOCAyMmwxMC0xMEw4IDJ6Ii8+Cjwvc3ZnPgo=);
+  --jp-icon-link: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTMuOSAxMmMwLTEuNzEgMS4zOS0zLjEgMy4xLTMuMWg0VjdIN2MtMi43NiAwLTUgMi4yNC01IDVzMi4yNCA1IDUgNWg0di0xLjlIN2MtMS43MSAwLTMuMS0xLjM5LTMuMS0zLjF6TTggMTNoOHYtMkg4djJ6bTktNmgtNHYxLjloNGMxLjcxIDAgMy4xIDEuMzkgMy4xIDMuMXMtMS4zOSAzLjEtMy4xIDMuMWgtNFYxN2g0YzIuNzYgMCA1LTIuMjQgNS01cy0yLjI0LTUtNS01eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-list: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGNsYXNzPSJqcC1pY29uMiBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xOSA1djE0SDVWNWgxNG0xLjEtMkgzLjljLS41IDAtLjkuNC0uOS45djE2LjJjMCAuNC40LjkuOS45aDE2LjJjLjQgMCAuOS0uNS45LS45VjMuOWMwLS41LS41LS45LS45LS45ek0xMSA3aDZ2MmgtNlY3em0wIDRoNnYyaC02di0yem0wIDRoNnYyaC02ek03IDdoMnYySDd6bTAgNGgydjJIN3ptMCA0aDJ2Mkg3eiIvPgo8L3N2Zz4K);
+  --jp-icon-markdown: url(data:image/svg+xml;base64,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);
+  --jp-icon-move-down: url(data:image/svg+xml;base64,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);
+  --jp-icon-move-up: url(data:image/svg+xml;base64,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);
+  --jp-icon-new-folder: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTIwIDZoLThsLTItMkg0Yy0xLjExIDAtMS45OS44OS0xLjk5IDJMMiAxOGMwIDEuMTEuODkgMiAyIDJoMTZjMS4xMSAwIDItLjg5IDItMlY4YzAtMS4xMS0uODktMi0yLTJ6bS0xIDhoLTN2M2gtMnYtM2gtM3YtMmgzVjloMnYzaDN2MnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-not-trusted: url(data:image/svg+xml;base64,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);
+  --jp-icon-notebook: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtbm90ZWJvb2staWNvbi1jb2xvciBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiNFRjZDMDAiPgogICAgPHBhdGggZD0iTTE4LjcgMy4zdjE1LjRIMy4zVjMuM2gxNS40bTEuNS0xLjVIMS44djE4LjNoMTguM2wuMS0xOC4zeiIvPgogICAgPHBhdGggZD0iTTE2LjUgMTYuNWwtNS40LTQuMy01LjYgNC4zdi0xMWgxMXoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-numbering: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjIiIGhlaWdodD0iMjIiIHZpZXdCb3g9IjAgMCAyOCAyOCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CgkJPHBhdGggZD0iTTQgMTlINlYxOS41SDVWMjAuNUg2VjIxSDRWMjJIN1YxOEg0VjE5Wk01IDEwSDZWNkg0VjdINVYxMFpNNCAxM0g1LjhMNCAxNS4xVjE2SDdWMTVINS4yTDcgMTIuOVYxMkg0VjEzWk05IDdWOUgyM1Y3SDlaTTkgMjFIMjNWMTlIOVYyMVpNOSAxNUgyM1YxM0g5VjE1WiIvPgoJPC9nPgo8L3N2Zz4K);
+  --jp-icon-offline-bolt: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAyNCAyNCIgd2lkdGg9IjE2Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyIDIuMDJjLTUuNTEgMC05Ljk4IDQuNDctOS45OCA5Ljk4czQuNDcgOS45OCA5Ljk4IDkuOTggOS45OC00LjQ3IDkuOTgtOS45OFMxNy41MSAyLjAyIDEyIDIuMDJ6TTExLjQ4IDIwdi02LjI2SDhMMTMgNHY2LjI2aDMuMzVMMTEuNDggMjB6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-palette: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE4IDEzVjIwSDRWNkg5LjAyQzkuMDcgNS4yOSA5LjI0IDQuNjIgOS41IDRINEMyLjkgNCAyIDQuOSAyIDZWMjBDMiAyMS4xIDIuOSAyMiA0IDIySDE4QzE5LjEgMjIgMjAgMjEuMSAyMCAyMFYxNUwxOCAxM1pNMTkuMyA4Ljg5QzE5Ljc0IDguMTkgMjAgNy4zOCAyMCA2LjVDMjAgNC4wMSAxNy45OSAyIDE1LjUgMkMxMy4wMSAyIDExIDQuMDEgMTEgNi41QzExIDguOTkgMTMuMDEgMTEgMTUuNDkgMTFDMTYuMzcgMTEgMTcuMTkgMTAuNzQgMTcuODggMTAuM0wyMSAxMy40MkwyMi40MiAxMkwxOS4zIDguODlaTTE1LjUgOUMxNC4xMiA5IDEzIDcuODggMTMgNi41QzEzIDUuMTIgMTQuMTIgNCAxNS41IDRDMTYuODggNCAxOCA1LjEyIDE4IDYuNUMxOCA3Ljg4IDE2Ljg4IDkgMTUuNSA5WiIvPgogICAgPHBhdGggZmlsbC1ydWxlPSJldmVub2RkIiBjbGlwLXJ1bGU9ImV2ZW5vZGQiIGQ9Ik00IDZIOS4wMTg5NEM5LjAwNjM5IDYuMTY1MDIgOSA2LjMzMTc2IDkgNi41QzkgOC44MTU3NyAxMC4yMTEgMTAuODQ4NyAxMi4wMzQzIDEySDlWMTRIMTZWMTIuOTgxMUMxNi41NzAzIDEyLjkzNzcgMTcuMTIgMTIuODIwNyAxNy42Mzk2IDEyLjYzOTZMMTggMTNWMjBINFY2Wk04IDhINlYxMEg4VjhaTTYgMTJIOFYxNEg2VjEyWk04IDE2SDZWMThIOFYxNlpNOSAxNkgxNlYxOEg5VjE2WiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-paste: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTE5IDJoLTQuMThDMTQuNC44NCAxMy4zIDAgMTIgMGMtMS4zIDAtMi40Ljg0LTIuODIgMkg1Yy0xLjEgMC0yIC45LTIgMnYxNmMwIDEuMS45IDIgMiAyaDE0YzEuMSAwIDItLjkgMi0yVjRjMC0xLjEtLjktMi0yLTJ6bS03IDBjLjU1IDAgMSAuNDUgMSAxcy0uNDUgMS0xIDEtMS0uNDUtMS0xIC40NS0xIDEtMXptNyAxOEg1VjRoMnYzaDEwVjRoMnYxNnoiLz4KICAgIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-pdf: url(data:image/svg+xml;base64,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);
+  --jp-icon-python: url(data:image/svg+xml;base64,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);
+  --jp-icon-r-kernel: url(data:image/svg+xml;base64,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);
+  --jp-icon-react: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMTUwIDE1MCA1NDEuOSAyOTUuMyI+CiAgPGcgY2xhc3M9ImpwLWljb24tYnJhbmQyIGpwLWljb24tc2VsZWN0YWJsZSIgZmlsbD0iIzYxREFGQiI+CiAgICA8cGF0aCBkPSJNNjY2LjMgMjk2LjVjMC0zMi41LTQwLjctNjMuMy0xMDMuMS04Mi40IDE0LjQtNjMuNiA4LTExNC4yLTIwLjItMTMwLjQtNi41LTMuOC0xNC4xLTUuNi0yMi40LTUuNnYyMi4zYzQuNiAwIDguMy45IDExLjQgMi42IDEzLjYgNy44IDE5LjUgMzcuNSAxNC45IDc1LjctMS4xIDkuNC0yLjkgMTkuMy01LjEgMjkuNC0xOS42LTQuOC00MS04LjUtNjMuNS0xMC45LTEzLjUtMTguNS0yNy41LTM1LjMtNDEuNi01MCAzMi42LTMwLjMgNjMuMi00Ni45IDg0LTQ2LjlWNzhjLTI3LjUgMC02My41IDE5LjYtOTkuOSA1My42LTM2LjQtMzMuOC03Mi40LTUzLjItOTkuOS01My4ydjIyLjNjMjAuNyAwIDUxLjQgMTYuNSA4NCA0Ni42LTE0IDE0LjctMjggMzEuNC00MS4zIDQ5LjktMjIuNiAyLjQtNDQgNi4xLTYzLjYgMTEtMi4zLTEwLTQtMTkuNy01LjItMjktNC43LTM4LjIgMS4xLTY3LjkgMTQuNi03NS44IDMtMS44IDYuOS0yLjYgMTEuNS0yLjZWNzguNWMtOC40IDAtMTYgMS44LTIyLjYgNS42LTI4LjEgMTYuMi0zNC40IDY2LjctMTkuOSAxMzAuMS02Mi4yIDE5LjItMTAyLjcgNDkuOS0xMDIuNyA4Mi4zIDAgMzIuNSA0MC43IDYzLjMgMTAzLjEgODIuNC0xNC40IDYzLjYtOCAxMTQuMiAyMC4yIDEzMC40IDYuNSAzLjggMTQuMSA1LjYgMjIuNSA1LjYgMjcuNSAwIDYzLjUtMTkuNiA5OS45LTUzLjYgMzYuNCAzMy44IDcyLjQgNTMuMiA5OS45IDUzLjIgOC40IDAgMTYtMS44IDIyLjYtNS42IDI4LjEtMTYuMiAzNC40LTY2LjcgMTkuOS0xMzAuMSA2Mi0xOS4xIDEwMi41LTQ5LjkgMTAyLjUtODIuM3ptLTEzMC4yLTY2LjdjLTMuNyAxMi45LTguMyAyNi4yLTEzLjUgMzkuNS00LjEtOC04LjQtMTYtMTMuMS0yNC00LjYtOC05LjUtMTUuOC0xNC40LTIzLjQgMTQuMiAyLjEgMjcuOSA0LjcgNDEgNy45em0tNDUuOCAxMDYuNWMtNy44IDEzLjUtMTUuOCAyNi4zLTI0LjEgMzguMi0xNC45IDEuMy0zMCAyLTQ1LjIgMi0xNS4xIDAtMzAuMi0uNy00NS0xLjktOC4zLTExLjktMTYuNC0yNC42LTI0LjItMzgtNy42LTEzLjEtMTQuNS0yNi40LTIwLjgtMzkuOCA2LjItMTMuNCAxMy4yLTI2LjggMjAuNy0zOS45IDcuOC0xMy41IDE1LjgtMjYuMyAyNC4xLTM4LjIgMTQuOS0xLjMgMzAtMiA0NS4yLTIgMTUuMSAwIDMwLjIuNyA0NSAxLjkgOC4zIDExLjkgMTYuNCAyNC42IDI0LjIgMzggNy42IDEzLjEgMTQuNSAyNi40IDIwLjggMzkuOC02LjMgMTMuNC0xMy4yIDI2LjgtMjAuNyAzOS45em0zMi4zLTEzYzUuNCAxMy40IDEwIDI2LjggMTMuOCAzOS44LTEzLjEgMy4yLTI2LjkgNS45LTQxLjIgOCA0LjktNy43IDkuOC0xNS42IDE0LjQtMjMuNyA0LjYtOCA4LjktMTYuMSAxMy0yNC4xek00MjEuMiA0MzBjLTkuMy05LjYtMTguNi0yMC4zLTI3LjgtMzIgOSAuNCAxOC4yLjcgMjcuNS43IDkuNCAwIDE4LjctLjIgMjcuOC0uNy05IDExLjctMTguMyAyMi40LTI3LjUgMzJ6bS03NC40LTU4LjljLTE0LjItMi4xLTI3LjktNC43LTQxLTcuOSAzLjctMTIuOSA4LjMtMjYuMiAxMy41LTM5LjUgNC4xIDggOC40IDE2IDEzLjEgMjQgNC43IDggOS41IDE1LjggMTQuNCAyMy40ek00MjAuNyAxNjNjOS4zIDkuNiAxOC42IDIwLjMgMjcuOCAzMi05LS40LTE4LjItLjctMjcuNS0uNy05LjQgMC0xOC43LjItMjcuOC43IDktMTEuNyAxOC4zLTIyLjQgMjcuNS0zMnptLTc0IDU4LjljLTQuOSA3LjctOS44IDE1LjYtMTQuNCAyMy43LTQuNiA4LTguOSAxNi0xMyAyNC01LjQtMTMuNC0xMC0yNi44LTEzLjgtMzkuOCAxMy4xLTMuMSAyNi45LTUuOCA0MS4yLTcuOXptLTkwLjUgMTI1LjJjLTM1LjQtMTUuMS01OC4zLTM0LjktNTguMy01MC42IDAtMTUuNyAyMi45LTM1LjYgNTguMy01MC42IDguNi0zLjcgMTgtNyAyNy43LTEwLjEgNS43IDE5LjYgMTMuMiA0MCAyMi41IDYwLjktOS4yIDIwLjgtMTYuNiA0MS4xLTIyLjIgNjAuNi05LjktMy4xLTE5LjMtNi41LTI4LTEwLjJ6TTMxMCA0OTBjLTEzLjYtNy44LTE5LjUtMzcuNS0xNC45LTc1LjcgMS4xLTkuNCAyLjktMTkuMyA1LjEtMjkuNCAxOS42IDQuOCA0MSA4LjUgNjMuNSAxMC45IDEzLjUgMTguNSAyNy41IDM1LjMgNDEuNiA1MC0zMi42IDMwLjMtNjMuMiA0Ni45LTg0IDQ2LjktNC41LS4xLTguMy0xLTExLjMtMi43em0yMzcuMi03Ni4yYzQuNyAzOC4yLTEuMSA2Ny45LTE0LjYgNzUuOC0zIDEuOC02LjkgMi42LTExLjUgMi42LTIwLjcgMC01MS40LTE2LjUtODQtNDYuNiAxNC0xNC43IDI4LTMxLjQgNDEuMy00OS45IDIyLjYtMi40IDQ0LTYuMSA2My42LTExIDIuMyAxMC4xIDQuMSAxOS44IDUuMiAyOS4xem0zOC41LTY2LjdjLTguNiAzLjctMTggNy0yNy43IDEwLjEtNS43LTE5LjYtMTMuMi00MC0yMi41LTYwLjkgOS4yLTIwLjggMTYuNi00MS4xIDIyLjItNjAuNiA5LjkgMy4xIDE5LjMgNi41IDI4LjEgMTAuMiAzNS40IDE1LjEgNTguMyAzNC45IDU4LjMgNTAuNi0uMSAxNS43LTIzIDM1LjYtNTguNCA1MC42ek0zMjAuOCA3OC40eiIvPgogICAgPGNpcmNsZSBjeD0iNDIwLjkiIGN5PSIyOTYuNSIgcj0iNDUuNyIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-redo: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIGhlaWdodD0iMjQiIHZpZXdCb3g9IjAgMCAyNCAyNCIgd2lkdGg9IjE2Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgICA8cGF0aCBkPSJNMCAwaDI0djI0SDB6IiBmaWxsPSJub25lIi8+PHBhdGggZD0iTTE4LjQgMTAuNkMxNi41NSA4Ljk5IDE0LjE1IDggMTEuNSA4Yy00LjY1IDAtOC41OCAzLjAzLTkuOTYgNy4yMkwzLjkgMTZjMS4wNS0zLjE5IDQuMDUtNS41IDcuNi01LjUgMS45NSAwIDMuNzMuNzIgNS4xMiAxLjg4TDEzIDE2aDlWN2wtMy42IDMuNnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-refresh: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTkgMTMuNWMtMi40OSAwLTQuNS0yLjAxLTQuNS00LjVTNi41MSA0LjUgOSA0LjVjMS4yNCAwIDIuMzYuNTIgMy4xNyAxLjMzTDEwIDhoNVYzbC0xLjc2IDEuNzZDMTIuMTUgMy42OCAxMC42NiAzIDkgMyA1LjY5IDMgMy4wMSA1LjY5IDMuMDEgOVM1LjY5IDE1IDkgMTVjMi45NyAwIDUuNDMtMi4xNiA1LjktNWgtMS41MmMtLjQ2IDItMi4yNCAzLjUtNC4zOCAzLjV6Ii8+CiAgICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-regex: url(data:image/svg+xml;base64,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);
+  --jp-icon-run: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTggNXYxNGwxMS03eiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-running: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDUxMiA1MTIiPgogIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICA8cGF0aCBkPSJNMjU2IDhDMTE5IDggOCAxMTkgOCAyNTZzMTExIDI0OCAyNDggMjQ4IDI0OC0xMTEgMjQ4LTI0OFMzOTMgOCAyNTYgOHptOTYgMzI4YzAgOC44LTcuMiAxNi0xNiAxNkgxNzZjLTguOCAwLTE2LTcuMi0xNi0xNlYxNzZjMC04LjggNy4yLTE2IDE2LTE2aDE2MGM4LjggMCAxNiA3LjIgMTYgMTZ2MTYweiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-save: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTE3IDNINWMtMS4xMSAwLTIgLjktMiAydjE0YzAgMS4xLjg5IDIgMiAyaDE0YzEuMSAwIDItLjkgMi0yVjdsLTQtNHptLTUgMTZjLTEuNjYgMC0zLTEuMzQtMy0zczEuMzQtMyAzLTMgMyAxLjM0IDMgMy0xLjM0IDMtMyAzem0zLTEwSDVWNWgxMHY0eiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-search: url(data:image/svg+xml;base64,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);
+  --jp-icon-settings: url(data:image/svg+xml;base64,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);
+  --jp-icon-share: url(data:image/svg+xml;base64,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);
+  --jp-icon-spreadsheet: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8cGF0aCBjbGFzcz0ianAtaWNvbi1jb250cmFzdDEganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNENBRjUwIiBkPSJNMi4yIDIuMnYxNy42aDE3LjZWMi4ySDIuMnptMTUuNCA3LjdoLTUuNVY0LjRoNS41djUuNXpNOS45IDQuNHY1LjVINC40VjQuNGg1LjV6bS01LjUgNy43aDUuNXY1LjVINC40di01LjV6bTcuNyA1LjV2LTUuNWg1LjV2NS41aC01LjV6Ii8+Cjwvc3ZnPgo=);
+  --jp-icon-stop: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik02IDZoMTJ2MTJINnoiLz4KICAgIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-tab: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTIxIDNIM2MtMS4xIDAtMiAuOS0yIDJ2MTRjMCAxLjEuOSAyIDIgMmgxOGMxLjEgMCAyLS45IDItMlY1YzAtMS4xLS45LTItMi0yem0wIDE2SDNWNWgxMHY0aDh2MTB6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-table-rows: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik0yMSw4SDNWNGgxOFY4eiBNMjEsMTBIM3Y0aDE4VjEweiBNMjEsMTZIM3Y0aDE4VjE2eiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-tag: url(data:image/svg+xml;base64,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);
+  --jp-icon-terminal: url(data:image/svg+xml;base64,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);
+  --jp-icon-text-editor: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtdGV4dC1lZGl0b3ItaWNvbi1jb2xvciBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xNSAxNUgzdjJoMTJ2LTJ6bTAtOEgzdjJoMTJWN3pNMyAxM2gxOHYtMkgzdjJ6bTAgOGgxOHYtMkgzdjJ6TTMgM3YyaDE4VjNIM3oiLz4KPC9zdmc+Cg==);
+  --jp-icon-toc: url(data:image/svg+xml;base64,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);
+  --jp-icon-tree-view: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik0yMiAxMVYzaC03djNIOVYzSDJ2OGg3VjhoMnYxMGg0djNoN3YtOGgtN3YzaC0yVjhoMnYzeiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-trusted: url(data:image/svg+xml;base64,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);
+  --jp-icon-undo: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyLjUgOGMtMi42NSAwLTUuMDUuOTktNi45IDIuNkwyIDd2OWg5bC0zLjYyLTMuNjJjMS4zOS0xLjE2IDMuMTYtMS44OCA1LjEyLTEuODggMy41NCAwIDYuNTUgMi4zMSA3LjYgNS41bDIuMzctLjc4QzIxLjA4IDExLjAzIDE3LjE1IDggMTIuNSA4eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-user: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMTYiIHZpZXdCb3g9IjAgMCAyNCAyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE2IDdhNCA0IDAgMTEtOCAwIDQgNCAwIDAxOCAwek0xMiAxNGE3IDcgMCAwMC03IDdoMTRhNyA3IDAgMDAtNy03eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-users: url(data:image/svg+xml;base64,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);
+  --jp-icon-vega: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtaWNvbjEganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjMjEyMTIxIj4KICAgIDxwYXRoIGQ9Ik0xMC42IDUuNGwyLjItMy4ySDIuMnY3LjNsNC02LjZ6Ii8+CiAgICA8cGF0aCBkPSJNMTUuOCAyLjJsLTQuNCA2LjZMNyA2LjNsLTQuOCA4djUuNWgxNy42VjIuMmgtNHptLTcgMTUuNEg1LjV2LTQuNGgzLjN2NC40em00LjQgMEg5LjhWOS44aDMuNHY3Ljh6bTQuNCAwaC0zLjRWNi41aDMuNHYxMS4xeiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-word: url(data:image/svg+xml;base64,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);
+  --jp-icon-yaml: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtaWNvbi1jb250cmFzdDIganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjRDgxQjYwIj4KICAgIDxwYXRoIGQ9Ik03LjIgMTguNnYtNS40TDMgNS42aDMuM2wxLjQgMy4xYy4zLjkuNiAxLjYgMSAyLjUuMy0uOC42LTEuNiAxLTIuNWwxLjQtMy4xaDMuNGwtNC40IDcuNnY1LjVsLTIuOS0uMXoiLz4KICAgIDxjaXJjbGUgY2xhc3M9InN0MCIgY3g9IjE3LjYiIGN5PSIxNi41IiByPSIyLjEiLz4KICAgIDxjaXJjbGUgY2xhc3M9InN0MCIgY3g9IjE3LjYiIGN5PSIxMSIgcj0iMi4xIi8+CiAgPC9nPgo8L3N2Zz4K);
+}
+
+/* Icon CSS class declarations */
+
+.jp-AddAboveIcon {
+  background-image: var(--jp-icon-add-above);
+}
+
+.jp-AddBelowIcon {
+  background-image: var(--jp-icon-add-below);
+}
+
+.jp-AddIcon {
+  background-image: var(--jp-icon-add);
+}
+
+.jp-BellIcon {
+  background-image: var(--jp-icon-bell);
+}
+
+.jp-BugDotIcon {
+  background-image: var(--jp-icon-bug-dot);
+}
+
+.jp-BugIcon {
+  background-image: var(--jp-icon-bug);
+}
+
+.jp-BuildIcon {
+  background-image: var(--jp-icon-build);
+}
+
+.jp-CaretDownEmptyIcon {
+  background-image: var(--jp-icon-caret-down-empty);
+}
+
+.jp-CaretDownEmptyThinIcon {
+  background-image: var(--jp-icon-caret-down-empty-thin);
+}
+
+.jp-CaretDownIcon {
+  background-image: var(--jp-icon-caret-down);
+}
+
+.jp-CaretLeftIcon {
+  background-image: var(--jp-icon-caret-left);
+}
+
+.jp-CaretRightIcon {
+  background-image: var(--jp-icon-caret-right);
+}
+
+.jp-CaretUpEmptyThinIcon {
+  background-image: var(--jp-icon-caret-up-empty-thin);
+}
+
+.jp-CaretUpIcon {
+  background-image: var(--jp-icon-caret-up);
+}
+
+.jp-CaseSensitiveIcon {
+  background-image: var(--jp-icon-case-sensitive);
+}
+
+.jp-CheckIcon {
+  background-image: var(--jp-icon-check);
+}
+
+.jp-CircleEmptyIcon {
+  background-image: var(--jp-icon-circle-empty);
+}
+
+.jp-CircleIcon {
+  background-image: var(--jp-icon-circle);
+}
+
+.jp-ClearIcon {
+  background-image: var(--jp-icon-clear);
+}
+
+.jp-CloseIcon {
+  background-image: var(--jp-icon-close);
+}
+
+.jp-CodeCheckIcon {
+  background-image: var(--jp-icon-code-check);
+}
+
+.jp-CodeIcon {
+  background-image: var(--jp-icon-code);
+}
+
+.jp-CollapseAllIcon {
+  background-image: var(--jp-icon-collapse-all);
+}
+
+.jp-ConsoleIcon {
+  background-image: var(--jp-icon-console);
+}
+
+.jp-CopyIcon {
+  background-image: var(--jp-icon-copy);
+}
+
+.jp-CopyrightIcon {
+  background-image: var(--jp-icon-copyright);
+}
+
+.jp-CutIcon {
+  background-image: var(--jp-icon-cut);
+}
+
+.jp-DeleteIcon {
+  background-image: var(--jp-icon-delete);
+}
+
+.jp-DownloadIcon {
+  background-image: var(--jp-icon-download);
+}
+
+.jp-DuplicateIcon {
+  background-image: var(--jp-icon-duplicate);
+}
+
+.jp-EditIcon {
+  background-image: var(--jp-icon-edit);
+}
+
+.jp-EllipsesIcon {
+  background-image: var(--jp-icon-ellipses);
+}
+
+.jp-ErrorIcon {
+  background-image: var(--jp-icon-error);
+}
+
+.jp-ExpandAllIcon {
+  background-image: var(--jp-icon-expand-all);
+}
+
+.jp-ExtensionIcon {
+  background-image: var(--jp-icon-extension);
+}
+
+.jp-FastForwardIcon {
+  background-image: var(--jp-icon-fast-forward);
+}
+
+.jp-FileIcon {
+  background-image: var(--jp-icon-file);
+}
+
+.jp-FileUploadIcon {
+  background-image: var(--jp-icon-file-upload);
+}
+
+.jp-FilterDotIcon {
+  background-image: var(--jp-icon-filter-dot);
+}
+
+.jp-FilterIcon {
+  background-image: var(--jp-icon-filter);
+}
+
+.jp-FilterListIcon {
+  background-image: var(--jp-icon-filter-list);
+}
+
+.jp-FolderFavoriteIcon {
+  background-image: var(--jp-icon-folder-favorite);
+}
+
+.jp-FolderIcon {
+  background-image: var(--jp-icon-folder);
+}
+
+.jp-HomeIcon {
+  background-image: var(--jp-icon-home);
+}
+
+.jp-Html5Icon {
+  background-image: var(--jp-icon-html5);
+}
+
+.jp-ImageIcon {
+  background-image: var(--jp-icon-image);
+}
+
+.jp-InfoIcon {
+  background-image: var(--jp-icon-info);
+}
+
+.jp-InspectorIcon {
+  background-image: var(--jp-icon-inspector);
+}
+
+.jp-JsonIcon {
+  background-image: var(--jp-icon-json);
+}
+
+.jp-JuliaIcon {
+  background-image: var(--jp-icon-julia);
+}
+
+.jp-JupyterFaviconIcon {
+  background-image: var(--jp-icon-jupyter-favicon);
+}
+
+.jp-JupyterIcon {
+  background-image: var(--jp-icon-jupyter);
+}
+
+.jp-JupyterlabWordmarkIcon {
+  background-image: var(--jp-icon-jupyterlab-wordmark);
+}
+
+.jp-KernelIcon {
+  background-image: var(--jp-icon-kernel);
+}
+
+.jp-KeyboardIcon {
+  background-image: var(--jp-icon-keyboard);
+}
+
+.jp-LaunchIcon {
+  background-image: var(--jp-icon-launch);
+}
+
+.jp-LauncherIcon {
+  background-image: var(--jp-icon-launcher);
+}
+
+.jp-LineFormIcon {
+  background-image: var(--jp-icon-line-form);
+}
+
+.jp-LinkIcon {
+  background-image: var(--jp-icon-link);
+}
+
+.jp-ListIcon {
+  background-image: var(--jp-icon-list);
+}
+
+.jp-MarkdownIcon {
+  background-image: var(--jp-icon-markdown);
+}
+
+.jp-MoveDownIcon {
+  background-image: var(--jp-icon-move-down);
+}
+
+.jp-MoveUpIcon {
+  background-image: var(--jp-icon-move-up);
+}
+
+.jp-NewFolderIcon {
+  background-image: var(--jp-icon-new-folder);
+}
+
+.jp-NotTrustedIcon {
+  background-image: var(--jp-icon-not-trusted);
+}
+
+.jp-NotebookIcon {
+  background-image: var(--jp-icon-notebook);
+}
+
+.jp-NumberingIcon {
+  background-image: var(--jp-icon-numbering);
+}
+
+.jp-OfflineBoltIcon {
+  background-image: var(--jp-icon-offline-bolt);
+}
+
+.jp-PaletteIcon {
+  background-image: var(--jp-icon-palette);
+}
+
+.jp-PasteIcon {
+  background-image: var(--jp-icon-paste);
+}
+
+.jp-PdfIcon {
+  background-image: var(--jp-icon-pdf);
+}
+
+.jp-PythonIcon {
+  background-image: var(--jp-icon-python);
+}
+
+.jp-RKernelIcon {
+  background-image: var(--jp-icon-r-kernel);
+}
+
+.jp-ReactIcon {
+  background-image: var(--jp-icon-react);
+}
+
+.jp-RedoIcon {
+  background-image: var(--jp-icon-redo);
+}
+
+.jp-RefreshIcon {
+  background-image: var(--jp-icon-refresh);
+}
+
+.jp-RegexIcon {
+  background-image: var(--jp-icon-regex);
+}
+
+.jp-RunIcon {
+  background-image: var(--jp-icon-run);
+}
+
+.jp-RunningIcon {
+  background-image: var(--jp-icon-running);
+}
+
+.jp-SaveIcon {
+  background-image: var(--jp-icon-save);
+}
+
+.jp-SearchIcon {
+  background-image: var(--jp-icon-search);
+}
+
+.jp-SettingsIcon {
+  background-image: var(--jp-icon-settings);
+}
+
+.jp-ShareIcon {
+  background-image: var(--jp-icon-share);
+}
+
+.jp-SpreadsheetIcon {
+  background-image: var(--jp-icon-spreadsheet);
+}
+
+.jp-StopIcon {
+  background-image: var(--jp-icon-stop);
+}
+
+.jp-TabIcon {
+  background-image: var(--jp-icon-tab);
+}
+
+.jp-TableRowsIcon {
+  background-image: var(--jp-icon-table-rows);
+}
+
+.jp-TagIcon {
+  background-image: var(--jp-icon-tag);
+}
+
+.jp-TerminalIcon {
+  background-image: var(--jp-icon-terminal);
+}
+
+.jp-TextEditorIcon {
+  background-image: var(--jp-icon-text-editor);
+}
+
+.jp-TocIcon {
+  background-image: var(--jp-icon-toc);
+}
+
+.jp-TreeViewIcon {
+  background-image: var(--jp-icon-tree-view);
+}
+
+.jp-TrustedIcon {
+  background-image: var(--jp-icon-trusted);
+}
+
+.jp-UndoIcon {
+  background-image: var(--jp-icon-undo);
+}
+
+.jp-UserIcon {
+  background-image: var(--jp-icon-user);
+}
+
+.jp-UsersIcon {
+  background-image: var(--jp-icon-users);
+}
+
+.jp-VegaIcon {
+  background-image: var(--jp-icon-vega);
+}
+
+.jp-WordIcon {
+  background-image: var(--jp-icon-word);
+}
+
+.jp-YamlIcon {
+  background-image: var(--jp-icon-yaml);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/**
+ * (DEPRECATED) Support for consuming icons as CSS background images
+ */
+
+.jp-Icon,
+.jp-MaterialIcon {
+  background-position: center;
+  background-repeat: no-repeat;
+  background-size: 16px;
+  min-width: 16px;
+  min-height: 16px;
+}
+
+.jp-Icon-cover {
+  background-position: center;
+  background-repeat: no-repeat;
+  background-size: cover;
+}
+
+/**
+ * (DEPRECATED) Support for specific CSS icon sizes
+ */
+
+.jp-Icon-16 {
+  background-size: 16px;
+  min-width: 16px;
+  min-height: 16px;
+}
+
+.jp-Icon-18 {
+  background-size: 18px;
+  min-width: 18px;
+  min-height: 18px;
+}
+
+.jp-Icon-20 {
+  background-size: 20px;
+  min-width: 20px;
+  min-height: 20px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.lm-TabBar .lm-TabBar-addButton {
+  align-items: center;
+  display: flex;
+  padding: 4px;
+  padding-bottom: 5px;
+  margin-right: 1px;
+  background-color: var(--jp-layout-color2);
+}
+
+.lm-TabBar .lm-TabBar-addButton:hover {
+  background-color: var(--jp-layout-color1);
+}
+
+.lm-DockPanel-tabBar .lm-TabBar-tab {
+  width: var(--jp-private-horizontal-tab-width);
+}
+
+.lm-DockPanel-tabBar .lm-TabBar-content {
+  flex: unset;
+}
+
+.lm-DockPanel-tabBar[data-orientation='horizontal'] {
+  flex: 1 1 auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/**
+ * Support for icons as inline SVG HTMLElements
+ */
+
+/* recolor the primary elements of an icon */
+.jp-icon0[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon1[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon2[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon3[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon4[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon0[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon1[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon2[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon3[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon4[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/* recolor the accent elements of an icon */
+.jp-icon-accent0[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.jp-icon-accent1[fill] {
+  fill: var(--jp-layout-color1);
+}
+
+.jp-icon-accent2[fill] {
+  fill: var(--jp-layout-color2);
+}
+
+.jp-icon-accent3[fill] {
+  fill: var(--jp-layout-color3);
+}
+
+.jp-icon-accent4[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-accent0[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-accent1[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-accent2[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-accent3[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-accent4[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* set the color of an icon to transparent */
+.jp-icon-none[fill] {
+  fill: none;
+}
+
+.jp-icon-none[stroke] {
+  stroke: none;
+}
+
+/* brand icon colors. Same for light and dark */
+.jp-icon-brand0[fill] {
+  fill: var(--jp-brand-color0);
+}
+
+.jp-icon-brand1[fill] {
+  fill: var(--jp-brand-color1);
+}
+
+.jp-icon-brand2[fill] {
+  fill: var(--jp-brand-color2);
+}
+
+.jp-icon-brand3[fill] {
+  fill: var(--jp-brand-color3);
+}
+
+.jp-icon-brand4[fill] {
+  fill: var(--jp-brand-color4);
+}
+
+.jp-icon-brand0[stroke] {
+  stroke: var(--jp-brand-color0);
+}
+
+.jp-icon-brand1[stroke] {
+  stroke: var(--jp-brand-color1);
+}
+
+.jp-icon-brand2[stroke] {
+  stroke: var(--jp-brand-color2);
+}
+
+.jp-icon-brand3[stroke] {
+  stroke: var(--jp-brand-color3);
+}
+
+.jp-icon-brand4[stroke] {
+  stroke: var(--jp-brand-color4);
+}
+
+/* warn icon colors. Same for light and dark */
+.jp-icon-warn0[fill] {
+  fill: var(--jp-warn-color0);
+}
+
+.jp-icon-warn1[fill] {
+  fill: var(--jp-warn-color1);
+}
+
+.jp-icon-warn2[fill] {
+  fill: var(--jp-warn-color2);
+}
+
+.jp-icon-warn3[fill] {
+  fill: var(--jp-warn-color3);
+}
+
+.jp-icon-warn0[stroke] {
+  stroke: var(--jp-warn-color0);
+}
+
+.jp-icon-warn1[stroke] {
+  stroke: var(--jp-warn-color1);
+}
+
+.jp-icon-warn2[stroke] {
+  stroke: var(--jp-warn-color2);
+}
+
+.jp-icon-warn3[stroke] {
+  stroke: var(--jp-warn-color3);
+}
+
+/* icon colors that contrast well with each other and most backgrounds */
+.jp-icon-contrast0[fill] {
+  fill: var(--jp-icon-contrast-color0);
+}
+
+.jp-icon-contrast1[fill] {
+  fill: var(--jp-icon-contrast-color1);
+}
+
+.jp-icon-contrast2[fill] {
+  fill: var(--jp-icon-contrast-color2);
+}
+
+.jp-icon-contrast3[fill] {
+  fill: var(--jp-icon-contrast-color3);
+}
+
+.jp-icon-contrast0[stroke] {
+  stroke: var(--jp-icon-contrast-color0);
+}
+
+.jp-icon-contrast1[stroke] {
+  stroke: var(--jp-icon-contrast-color1);
+}
+
+.jp-icon-contrast2[stroke] {
+  stroke: var(--jp-icon-contrast-color2);
+}
+
+.jp-icon-contrast3[stroke] {
+  stroke: var(--jp-icon-contrast-color3);
+}
+
+.jp-icon-dot[fill] {
+  fill: var(--jp-warn-color0);
+}
+
+.jp-jupyter-icon-color[fill] {
+  fill: var(--jp-jupyter-icon-color, var(--jp-warn-color0));
+}
+
+.jp-notebook-icon-color[fill] {
+  fill: var(--jp-notebook-icon-color, var(--jp-warn-color0));
+}
+
+.jp-json-icon-color[fill] {
+  fill: var(--jp-json-icon-color, var(--jp-warn-color1));
+}
+
+.jp-console-icon-color[fill] {
+  fill: var(--jp-console-icon-color, white);
+}
+
+.jp-console-icon-background-color[fill] {
+  fill: var(--jp-console-icon-background-color, var(--jp-brand-color1));
+}
+
+.jp-terminal-icon-color[fill] {
+  fill: var(--jp-terminal-icon-color, var(--jp-layout-color2));
+}
+
+.jp-terminal-icon-background-color[fill] {
+  fill: var(
+    --jp-terminal-icon-background-color,
+    var(--jp-inverse-layout-color2)
+  );
+}
+
+.jp-text-editor-icon-color[fill] {
+  fill: var(--jp-text-editor-icon-color, var(--jp-inverse-layout-color3));
+}
+
+.jp-inspector-icon-color[fill] {
+  fill: var(--jp-inspector-icon-color, var(--jp-inverse-layout-color3));
+}
+
+/* CSS for icons in selected filebrowser listing items */
+.jp-DirListing-item.jp-mod-selected .jp-icon-selectable[fill] {
+  fill: #fff;
+}
+
+.jp-DirListing-item.jp-mod-selected .jp-icon-selectable-inverse[fill] {
+  fill: var(--jp-brand-color1);
+}
+
+/* stylelint-disable selector-max-class, selector-max-compound-selectors */
+
+/**
+* TODO: come up with non css-hack solution for showing the busy icon on top
+*  of the close icon
+* CSS for complex behavior of close icon of tabs in the main area tabbar
+*/
+.lm-DockPanel-tabBar
+  .lm-TabBar-tab.lm-mod-closable.jp-mod-dirty
+  > .lm-TabBar-tabCloseIcon
+  > :not(:hover)
+  > .jp-icon3[fill] {
+  fill: none;
+}
+
+.lm-DockPanel-tabBar
+  .lm-TabBar-tab.lm-mod-closable.jp-mod-dirty
+  > .lm-TabBar-tabCloseIcon
+  > :not(:hover)
+  > .jp-icon-busy[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+/* stylelint-enable selector-max-class, selector-max-compound-selectors */
+
+/* CSS for icons in status bar */
+#jp-main-statusbar .jp-mod-selected .jp-icon-selectable[fill] {
+  fill: #fff;
+}
+
+#jp-main-statusbar .jp-mod-selected .jp-icon-selectable-inverse[fill] {
+  fill: var(--jp-brand-color1);
+}
+
+/* special handling for splash icon CSS. While the theme CSS reloads during
+   splash, the splash icon can loose theming. To prevent that, we set a
+   default for its color variable */
+:root {
+  --jp-warn-color0: var(--md-orange-700);
+}
+
+/* not sure what to do with this one, used in filebrowser listing */
+.jp-DragIcon {
+  margin-right: 4px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/**
+ * Support for alt colors for icons as inline SVG HTMLElements
+ */
+
+/* alt recolor the primary elements of an icon */
+.jp-icon-alt .jp-icon0[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.jp-icon-alt .jp-icon1[fill] {
+  fill: var(--jp-layout-color1);
+}
+
+.jp-icon-alt .jp-icon2[fill] {
+  fill: var(--jp-layout-color2);
+}
+
+.jp-icon-alt .jp-icon3[fill] {
+  fill: var(--jp-layout-color3);
+}
+
+.jp-icon-alt .jp-icon4[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-alt .jp-icon0[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-alt .jp-icon1[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-alt .jp-icon2[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-alt .jp-icon3[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-alt .jp-icon4[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* alt recolor the accent elements of an icon */
+.jp-icon-alt .jp-icon-accent0[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-alt .jp-icon-accent1[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-alt .jp-icon-accent2[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-alt .jp-icon-accent3[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-alt .jp-icon-accent4[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon-alt .jp-icon-accent0[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-alt .jp-icon-accent1[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-alt .jp-icon-accent2[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-alt .jp-icon-accent3[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-alt .jp-icon-accent4[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-icon-hoverShow:not(:hover) .jp-icon-hoverShow-content {
+  display: none !important;
+}
+
+/**
+ * Support for hover colors for icons as inline SVG HTMLElements
+ */
+
+/**
+ * regular colors
+ */
+
+/* recolor the primary elements of an icon */
+.jp-icon-hover :hover .jp-icon0-hover[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon1-hover[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon2-hover[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon3-hover[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon4-hover[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon-hover :hover .jp-icon0-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon1-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon2-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon3-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon4-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/* recolor the accent elements of an icon */
+.jp-icon-hover :hover .jp-icon-accent0-hover[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon-accent1-hover[fill] {
+  fill: var(--jp-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon-accent2-hover[fill] {
+  fill: var(--jp-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon-accent3-hover[fill] {
+  fill: var(--jp-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon-accent4-hover[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-hover :hover .jp-icon-accent0-hover[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon-accent1-hover[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon-accent2-hover[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon-accent3-hover[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon-accent4-hover[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* set the color of an icon to transparent */
+.jp-icon-hover :hover .jp-icon-none-hover[fill] {
+  fill: none;
+}
+
+.jp-icon-hover :hover .jp-icon-none-hover[stroke] {
+  stroke: none;
+}
+
+/**
+ * inverse colors
+ */
+
+/* inverse recolor the primary elements of an icon */
+.jp-icon-hover.jp-icon-alt :hover .jp-icon0-hover[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon1-hover[fill] {
+  fill: var(--jp-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon2-hover[fill] {
+  fill: var(--jp-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon3-hover[fill] {
+  fill: var(--jp-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon4-hover[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon0-hover[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon1-hover[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon2-hover[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon3-hover[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon4-hover[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* inverse recolor the accent elements of an icon */
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent0-hover[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent1-hover[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent2-hover[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent3-hover[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent4-hover[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent0-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent1-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent2-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent3-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent4-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-IFrame {
+  width: 100%;
+  height: 100%;
+}
+
+.jp-IFrame > iframe {
+  border: none;
+}
+
+/*
+When drag events occur, `lm-mod-override-cursor` is added to the body.
+Because iframes steal all cursor events, the following two rules are necessary
+to suppress pointer events while resize drags are occurring. There may be a
+better solution to this problem.
+*/
+body.lm-mod-override-cursor .jp-IFrame {
+  position: relative;
+}
+
+body.lm-mod-override-cursor .jp-IFrame::before {
+  content: '';
+  position: absolute;
+  top: 0;
+  left: 0;
+  right: 0;
+  bottom: 0;
+  background: transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-HoverBox {
+  position: fixed;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-FormGroup-content fieldset {
+  border: none;
+  padding: 0;
+  min-width: 0;
+  width: 100%;
+}
+
+/* stylelint-disable selector-max-type */
+
+.jp-FormGroup-content fieldset .jp-inputFieldWrapper input,
+.jp-FormGroup-content fieldset .jp-inputFieldWrapper select,
+.jp-FormGroup-content fieldset .jp-inputFieldWrapper textarea {
+  font-size: var(--jp-content-font-size2);
+  border-color: var(--jp-input-border-color);
+  border-style: solid;
+  border-radius: var(--jp-border-radius);
+  border-width: 1px;
+  padding: 6px 8px;
+  background: none;
+  color: var(--jp-ui-font-color0);
+  height: inherit;
+}
+
+.jp-FormGroup-content fieldset input[type='checkbox'] {
+  position: relative;
+  top: 2px;
+  margin-left: 0;
+}
+
+.jp-FormGroup-content button.jp-mod-styled {
+  cursor: pointer;
+}
+
+.jp-FormGroup-content .checkbox label {
+  cursor: pointer;
+  font-size: var(--jp-content-font-size1);
+}
+
+.jp-FormGroup-content .jp-root > fieldset > legend {
+  display: none;
+}
+
+.jp-FormGroup-content .jp-root > fieldset > p {
+  display: none;
+}
+
+/** copy of `input.jp-mod-styled:focus` style */
+.jp-FormGroup-content fieldset input:focus,
+.jp-FormGroup-content fieldset select:focus {
+  -moz-outline-radius: unset;
+  outline: var(--jp-border-width) solid var(--md-blue-500);
+  outline-offset: -1px;
+  box-shadow: inset 0 0 4px var(--md-blue-300);
+}
+
+.jp-FormGroup-content fieldset input:hover:not(:focus),
+.jp-FormGroup-content fieldset select:hover:not(:focus) {
+  background-color: var(--jp-border-color2);
+}
+
+/* stylelint-enable selector-max-type */
+
+.jp-FormGroup-content .checkbox .field-description {
+  /* Disable default description field for checkbox:
+   because other widgets do not have description fields,
+   we add descriptions to each widget on the field level.
+  */
+  display: none;
+}
+
+.jp-FormGroup-content #root__description {
+  display: none;
+}
+
+.jp-FormGroup-content .jp-modifiedIndicator {
+  width: 5px;
+  background-color: var(--jp-brand-color2);
+  margin-top: 0;
+  margin-left: calc(var(--jp-private-settingeditor-modifier-indent) * -1);
+  flex-shrink: 0;
+}
+
+.jp-FormGroup-content .jp-modifiedIndicator.jp-errorIndicator {
+  background-color: var(--jp-error-color0);
+  margin-right: 0.5em;
+}
+
+/* RJSF ARRAY style */
+
+.jp-arrayFieldWrapper legend {
+  font-size: var(--jp-content-font-size2);
+  color: var(--jp-ui-font-color0);
+  flex-basis: 100%;
+  padding: 4px 0;
+  font-weight: var(--jp-content-heading-font-weight);
+  border-bottom: 1px solid var(--jp-border-color2);
+}
+
+.jp-arrayFieldWrapper .field-description {
+  padding: 4px 0;
+  white-space: pre-wrap;
+}
+
+.jp-arrayFieldWrapper .array-item {
+  width: 100%;
+  border: 1px solid var(--jp-border-color2);
+  border-radius: 4px;
+  margin: 4px;
+}
+
+.jp-ArrayOperations {
+  display: flex;
+  margin-left: 8px;
+}
+
+.jp-ArrayOperationsButton {
+  margin: 2px;
+}
+
+.jp-ArrayOperationsButton .jp-icon3[fill] {
+  fill: var(--jp-ui-font-color0);
+}
+
+button.jp-ArrayOperationsButton.jp-mod-styled:disabled {
+  cursor: not-allowed;
+  opacity: 0.5;
+}
+
+/* RJSF form validation error */
+
+.jp-FormGroup-content .validationErrors {
+  color: var(--jp-error-color0);
+}
+
+/* Hide panel level error as duplicated the field level error */
+.jp-FormGroup-content .panel.errors {
+  display: none;
+}
+
+/* RJSF normal content (settings-editor) */
+
+.jp-FormGroup-contentNormal {
+  display: flex;
+  align-items: center;
+  flex-wrap: wrap;
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-contentItem {
+  margin-left: 7px;
+  color: var(--jp-ui-font-color0);
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-description {
+  flex-basis: 100%;
+  padding: 4px 7px;
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-default {
+  flex-basis: 100%;
+  padding: 4px 7px;
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-fieldLabel {
+  font-size: var(--jp-content-font-size1);
+  font-weight: normal;
+  min-width: 120px;
+}
+
+.jp-FormGroup-contentNormal fieldset:not(:first-child) {
+  margin-left: 7px;
+}
+
+.jp-FormGroup-contentNormal .field-array-of-string .array-item {
+  /* Display `jp-ArrayOperations` buttons side-by-side with content except
+    for small screens where flex-wrap will place them one below the other.
+  */
+  display: flex;
+  align-items: center;
+  flex-wrap: wrap;
+}
+
+.jp-FormGroup-contentNormal .jp-objectFieldWrapper .form-group {
+  padding: 2px 8px 2px var(--jp-private-settingeditor-modifier-indent);
+  margin-top: 2px;
+}
+
+/* RJSF compact content (metadata-form) */
+
+.jp-FormGroup-content.jp-FormGroup-contentCompact {
+  width: 100%;
+}
+
+.jp-FormGroup-contentCompact .form-group {
+  display: flex;
+  padding: 0.5em 0.2em 0.5em 0;
+}
+
+.jp-FormGroup-contentCompact
+  .jp-FormGroup-compactTitle
+  .jp-FormGroup-description {
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-FormGroup-contentCompact .jp-FormGroup-fieldLabel {
+  padding-bottom: 0.3em;
+}
+
+.jp-FormGroup-contentCompact .jp-inputFieldWrapper .form-control {
+  width: 100%;
+  box-sizing: border-box;
+}
+
+.jp-FormGroup-contentCompact .jp-arrayFieldWrapper .jp-FormGroup-compactTitle {
+  padding-bottom: 7px;
+}
+
+.jp-FormGroup-contentCompact
+  .jp-objectFieldWrapper
+  .jp-objectFieldWrapper
+  .form-group {
+  padding: 2px 8px 2px var(--jp-private-settingeditor-modifier-indent);
+  margin-top: 2px;
+}
+
+.jp-FormGroup-contentCompact ul.error-detail {
+  margin-block-start: 0.5em;
+  margin-block-end: 0.5em;
+  padding-inline-start: 1em;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-SidePanel {
+  display: flex;
+  flex-direction: column;
+  min-width: var(--jp-sidebar-min-width);
+  overflow-y: auto;
+  color: var(--jp-ui-font-color1);
+  background: var(--jp-layout-color1);
+  font-size: var(--jp-ui-font-size1);
+}
+
+.jp-SidePanel-header {
+  flex: 0 0 auto;
+  display: flex;
+  border-bottom: var(--jp-border-width) solid var(--jp-border-color2);
+  font-size: var(--jp-ui-font-size0);
+  font-weight: 600;
+  letter-spacing: 1px;
+  margin: 0;
+  padding: 2px;
+  text-transform: uppercase;
+}
+
+.jp-SidePanel-toolbar {
+  flex: 0 0 auto;
+}
+
+.jp-SidePanel-content {
+  flex: 1 1 auto;
+}
+
+.jp-SidePanel-toolbar,
+.jp-AccordionPanel-toolbar {
+  height: var(--jp-private-toolbar-height);
+}
+
+.jp-SidePanel-toolbar.jp-Toolbar-micro {
+  display: none;
+}
+
+.lm-AccordionPanel .jp-AccordionPanel-title {
+  box-sizing: border-box;
+  line-height: 25px;
+  margin: 0;
+  display: flex;
+  align-items: center;
+  background: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  font-size: var(--jp-ui-font-size0);
+}
+
+.jp-AccordionPanel-title {
+  cursor: pointer;
+  user-select: none;
+  -moz-user-select: none;
+  -webkit-user-select: none;
+  text-transform: uppercase;
+}
+
+.lm-AccordionPanel[data-orientation='horizontal'] > .jp-AccordionPanel-title {
+  /* Title is rotated for horizontal accordion panel using CSS */
+  display: block;
+  transform-origin: top left;
+  transform: rotate(-90deg) translate(-100%);
+}
+
+.jp-AccordionPanel-title .lm-AccordionPanel-titleLabel {
+  user-select: none;
+  text-overflow: ellipsis;
+  white-space: nowrap;
+  overflow: hidden;
+}
+
+.jp-AccordionPanel-title .lm-AccordionPanel-titleCollapser {
+  transform: rotate(-90deg);
+  margin: auto 0;
+  height: 16px;
+}
+
+.jp-AccordionPanel-title.lm-mod-expanded .lm-AccordionPanel-titleCollapser {
+  transform: rotate(0deg);
+}
+
+.lm-AccordionPanel .jp-AccordionPanel-toolbar {
+  background: none;
+  box-shadow: none;
+  border: none;
+  margin-left: auto;
+}
+
+.lm-AccordionPanel .lm-SplitPanel-handle:hover {
+  background: var(--jp-layout-color3);
+}
+
+.jp-text-truncated {
+  overflow: hidden;
+  text-overflow: ellipsis;
+  white-space: nowrap;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Spinner {
+  position: absolute;
+  display: flex;
+  justify-content: center;
+  align-items: center;
+  z-index: 10;
+  left: 0;
+  top: 0;
+  width: 100%;
+  height: 100%;
+  background: var(--jp-layout-color0);
+  outline: none;
+}
+
+.jp-SpinnerContent {
+  font-size: 10px;
+  margin: 50px auto;
+  text-indent: -9999em;
+  width: 3em;
+  height: 3em;
+  border-radius: 50%;
+  background: var(--jp-brand-color3);
+  background: linear-gradient(
+    to right,
+    #f37626 10%,
+    rgba(255, 255, 255, 0) 42%
+  );
+  position: relative;
+  animation: load3 1s infinite linear, fadeIn 1s;
+}
+
+.jp-SpinnerContent::before {
+  width: 50%;
+  height: 50%;
+  background: #f37626;
+  border-radius: 100% 0 0;
+  position: absolute;
+  top: 0;
+  left: 0;
+  content: '';
+}
+
+.jp-SpinnerContent::after {
+  background: var(--jp-layout-color0);
+  width: 75%;
+  height: 75%;
+  border-radius: 50%;
+  content: '';
+  margin: auto;
+  position: absolute;
+  top: 0;
+  left: 0;
+  bottom: 0;
+  right: 0;
+}
+
+@keyframes fadeIn {
+  0% {
+    opacity: 0;
+  }
+
+  100% {
+    opacity: 1;
+  }
+}
+
+@keyframes load3 {
+  0% {
+    transform: rotate(0deg);
+  }
+
+  100% {
+    transform: rotate(360deg);
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+button.jp-mod-styled {
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color0);
+  border: none;
+  box-sizing: border-box;
+  text-align: center;
+  line-height: 32px;
+  height: 32px;
+  padding: 0 12px;
+  letter-spacing: 0.8px;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+}
+
+input.jp-mod-styled {
+  background: var(--jp-input-background);
+  height: 28px;
+  box-sizing: border-box;
+  border: var(--jp-border-width) solid var(--jp-border-color1);
+  padding-left: 7px;
+  padding-right: 7px;
+  font-size: var(--jp-ui-font-size2);
+  color: var(--jp-ui-font-color0);
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+}
+
+input[type='checkbox'].jp-mod-styled {
+  appearance: checkbox;
+  -webkit-appearance: checkbox;
+  -moz-appearance: checkbox;
+  height: auto;
+}
+
+input.jp-mod-styled:focus {
+  border: var(--jp-border-width) solid var(--md-blue-500);
+  box-shadow: inset 0 0 4px var(--md-blue-300);
+}
+
+.jp-select-wrapper {
+  display: flex;
+  position: relative;
+  flex-direction: column;
+  padding: 1px;
+  background-color: var(--jp-layout-color1);
+  box-sizing: border-box;
+  margin-bottom: 12px;
+}
+
+.jp-select-wrapper:not(.multiple) {
+  height: 28px;
+}
+
+.jp-select-wrapper.jp-mod-focused select.jp-mod-styled {
+  border: var(--jp-border-width) solid var(--jp-input-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+  background-color: var(--jp-input-active-background);
+}
+
+select.jp-mod-styled:hover {
+  cursor: pointer;
+  color: var(--jp-ui-font-color0);
+  background-color: var(--jp-input-hover-background);
+  box-shadow: inset 0 0 1px rgba(0, 0, 0, 0.5);
+}
+
+select.jp-mod-styled {
+  flex: 1 1 auto;
+  width: 100%;
+  font-size: var(--jp-ui-font-size2);
+  background: var(--jp-input-background);
+  color: var(--jp-ui-font-color0);
+  padding: 0 25px 0 8px;
+  border: var(--jp-border-width) solid var(--jp-input-border-color);
+  border-radius: 0;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+}
+
+select.jp-mod-styled:not([multiple]) {
+  height: 32px;
+}
+
+select.jp-mod-styled[multiple] {
+  max-height: 200px;
+  overflow-y: auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-switch {
+  display: flex;
+  align-items: center;
+  padding-left: 4px;
+  padding-right: 4px;
+  font-size: var(--jp-ui-font-size1);
+  background-color: transparent;
+  color: var(--jp-ui-font-color1);
+  border: none;
+  height: 20px;
+}
+
+.jp-switch:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-switch-label {
+  margin-right: 5px;
+  font-family: var(--jp-ui-font-family);
+}
+
+.jp-switch-track {
+  cursor: pointer;
+  background-color: var(--jp-switch-color, var(--jp-border-color1));
+  -webkit-transition: 0.4s;
+  transition: 0.4s;
+  border-radius: 34px;
+  height: 16px;
+  width: 35px;
+  position: relative;
+}
+
+.jp-switch-track::before {
+  content: '';
+  position: absolute;
+  height: 10px;
+  width: 10px;
+  margin: 3px;
+  left: 0;
+  background-color: var(--jp-ui-inverse-font-color1);
+  -webkit-transition: 0.4s;
+  transition: 0.4s;
+  border-radius: 50%;
+}
+
+.jp-switch[aria-checked='true'] .jp-switch-track {
+  background-color: var(--jp-switch-true-position-color, var(--jp-warn-color0));
+}
+
+.jp-switch[aria-checked='true'] .jp-switch-track::before {
+  /* track width (35) - margins (3 + 3) - thumb width (10) */
+  left: 19px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-toolbar-height: calc(
+    28px + var(--jp-border-width)
+  ); /* leave 28px for content */
+}
+
+.jp-Toolbar {
+  color: var(--jp-ui-font-color1);
+  flex: 0 0 auto;
+  display: flex;
+  flex-direction: row;
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  background: var(--jp-toolbar-background);
+  min-height: var(--jp-toolbar-micro-height);
+  padding: 2px;
+  z-index: 8;
+  overflow-x: hidden;
+}
+
+/* Toolbar items */
+
+.jp-Toolbar > .jp-Toolbar-item.jp-Toolbar-spacer {
+  flex-grow: 1;
+  flex-shrink: 1;
+}
+
+.jp-Toolbar-item.jp-Toolbar-kernelStatus {
+  display: inline-block;
+  width: 32px;
+  background-repeat: no-repeat;
+  background-position: center;
+  background-size: 16px;
+}
+
+.jp-Toolbar > .jp-Toolbar-item {
+  flex: 0 0 auto;
+  display: flex;
+  padding-left: 1px;
+  padding-right: 1px;
+  font-size: var(--jp-ui-font-size1);
+  line-height: var(--jp-private-toolbar-height);
+  height: 100%;
+}
+
+/* Toolbar buttons */
+
+/* This is the div we use to wrap the react component into a Widget */
+div.jp-ToolbarButton {
+  color: transparent;
+  border: none;
+  box-sizing: border-box;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+  padding: 0;
+  margin: 0;
+}
+
+button.jp-ToolbarButtonComponent {
+  background: var(--jp-layout-color1);
+  border: none;
+  box-sizing: border-box;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+  padding: 0 6px;
+  margin: 0;
+  height: 24px;
+  border-radius: var(--jp-border-radius);
+  display: flex;
+  align-items: center;
+  text-align: center;
+  font-size: 14px;
+  min-width: unset;
+  min-height: unset;
+}
+
+button.jp-ToolbarButtonComponent:disabled {
+  opacity: 0.4;
+}
+
+button.jp-ToolbarButtonComponent > span {
+  padding: 0;
+  flex: 0 0 auto;
+}
+
+button.jp-ToolbarButtonComponent .jp-ToolbarButtonComponent-label {
+  font-size: var(--jp-ui-font-size1);
+  line-height: 100%;
+  padding-left: 2px;
+  color: var(--jp-ui-font-color1);
+  font-family: var(--jp-ui-font-family);
+}
+
+#jp-main-dock-panel[data-mode='single-document']
+  .jp-MainAreaWidget
+  > .jp-Toolbar.jp-Toolbar-micro {
+  padding: 0;
+  min-height: 0;
+}
+
+#jp-main-dock-panel[data-mode='single-document']
+  .jp-MainAreaWidget
+  > .jp-Toolbar {
+  border: none;
+  box-shadow: none;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-WindowedPanel-outer {
+  position: relative;
+  overflow-y: auto;
+}
+
+.jp-WindowedPanel-inner {
+  position: relative;
+}
+
+.jp-WindowedPanel-window {
+  position: absolute;
+  left: 0;
+  right: 0;
+  overflow: visible;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/* Sibling imports */
+
+body {
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+}
+
+/* Disable native link decoration styles everywhere outside of dialog boxes */
+a {
+  text-decoration: unset;
+  color: unset;
+}
+
+a:hover {
+  text-decoration: unset;
+  color: unset;
+}
+
+/* Accessibility for links inside dialog box text */
+.jp-Dialog-content a {
+  text-decoration: revert;
+  color: var(--jp-content-link-color);
+}
+
+.jp-Dialog-content a:hover {
+  text-decoration: revert;
+}
+
+/* Styles for ui-components */
+.jp-Button {
+  color: var(--jp-ui-font-color2);
+  border-radius: var(--jp-border-radius);
+  padding: 0 12px;
+  font-size: var(--jp-ui-font-size1);
+
+  /* Copy from blueprint 3 */
+  display: inline-flex;
+  flex-direction: row;
+  border: none;
+  cursor: pointer;
+  align-items: center;
+  justify-content: center;
+  text-align: left;
+  vertical-align: middle;
+  min-height: 30px;
+  min-width: 30px;
+}
+
+.jp-Button:disabled {
+  cursor: not-allowed;
+}
+
+.jp-Button:empty {
+  padding: 0 !important;
+}
+
+.jp-Button.jp-mod-small {
+  min-height: 24px;
+  min-width: 24px;
+  font-size: 12px;
+  padding: 0 7px;
+}
+
+/* Use our own theme for hover styles */
+.jp-Button.jp-mod-minimal:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-Button.jp-mod-minimal {
+  background: none;
+}
+
+.jp-InputGroup {
+  display: block;
+  position: relative;
+}
+
+.jp-InputGroup input {
+  box-sizing: border-box;
+  border: none;
+  border-radius: 0;
+  background-color: transparent;
+  color: var(--jp-ui-font-color0);
+  box-shadow: inset 0 0 0 var(--jp-border-width) var(--jp-input-border-color);
+  padding-bottom: 0;
+  padding-top: 0;
+  padding-left: 10px;
+  padding-right: 28px;
+  position: relative;
+  width: 100%;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+  appearance: none;
+  font-size: 14px;
+  font-weight: 400;
+  height: 30px;
+  line-height: 30px;
+  outline: none;
+  vertical-align: middle;
+}
+
+.jp-InputGroup input:focus {
+  box-shadow: inset 0 0 0 var(--jp-border-width)
+      var(--jp-input-active-box-shadow-color),
+    inset 0 0 0 3px var(--jp-input-active-box-shadow-color);
+}
+
+.jp-InputGroup input:disabled {
+  cursor: not-allowed;
+  resize: block;
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-InputGroup input:disabled ~ span {
+  cursor: not-allowed;
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-InputGroup input::placeholder,
+input::placeholder {
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-InputGroupAction {
+  position: absolute;
+  bottom: 1px;
+  right: 0;
+  padding: 6px;
+}
+
+.jp-HTMLSelect.jp-DefaultStyle select {
+  background-color: initial;
+  border: none;
+  border-radius: 0;
+  box-shadow: none;
+  color: var(--jp-ui-font-color0);
+  display: block;
+  font-size: var(--jp-ui-font-size1);
+  font-family: var(--jp-ui-font-family);
+  height: 24px;
+  line-height: 14px;
+  padding: 0 25px 0 10px;
+  text-align: left;
+  -moz-appearance: none;
+  -webkit-appearance: none;
+}
+
+.jp-HTMLSelect.jp-DefaultStyle select:disabled {
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color2);
+  cursor: not-allowed;
+  resize: block;
+}
+
+.jp-HTMLSelect.jp-DefaultStyle select:disabled ~ span {
+  cursor: not-allowed;
+}
+
+/* Use our own theme for hover and option styles */
+/* stylelint-disable-next-line selector-max-type */
+.jp-HTMLSelect.jp-DefaultStyle select:hover,
+.jp-HTMLSelect.jp-DefaultStyle select > option {
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color0);
+}
+
+select {
+  box-sizing: border-box;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Styles
+|----------------------------------------------------------------------------*/
+
+.jp-StatusBar-Widget {
+  display: flex;
+  align-items: center;
+  background: var(--jp-layout-color2);
+  min-height: var(--jp-statusbar-height);
+  justify-content: space-between;
+  padding: 0 10px;
+}
+
+.jp-StatusBar-Left {
+  display: flex;
+  align-items: center;
+  flex-direction: row;
+}
+
+.jp-StatusBar-Middle {
+  display: flex;
+  align-items: center;
+}
+
+.jp-StatusBar-Right {
+  display: flex;
+  align-items: center;
+  flex-direction: row-reverse;
+}
+
+.jp-StatusBar-Item {
+  max-height: var(--jp-statusbar-height);
+  margin: 0 2px;
+  height: var(--jp-statusbar-height);
+  white-space: nowrap;
+  text-overflow: ellipsis;
+  color: var(--jp-ui-font-color1);
+  padding: 0 6px;
+}
+
+.jp-mod-highlighted:hover {
+  background-color: var(--jp-layout-color3);
+}
+
+.jp-mod-clicked {
+  background-color: var(--jp-brand-color1);
+}
+
+.jp-mod-clicked:hover {
+  background-color: var(--jp-brand-color0);
+}
+
+.jp-mod-clicked .jp-StatusBar-TextItem {
+  color: var(--jp-ui-inverse-font-color1);
+}
+
+.jp-StatusBar-HoverItem {
+  box-shadow: '0px 4px 4px rgba(0, 0, 0, 0.25)';
+}
+
+.jp-StatusBar-TextItem {
+  font-size: var(--jp-ui-font-size1);
+  font-family: var(--jp-ui-font-family);
+  line-height: 24px;
+  color: var(--jp-ui-font-color1);
+}
+
+.jp-StatusBar-GroupItem {
+  display: flex;
+  align-items: center;
+  flex-direction: row;
+}
+
+.jp-Statusbar-ProgressCircle svg {
+  display: block;
+  margin: 0 auto;
+  width: 16px;
+  height: 24px;
+  align-self: normal;
+}
+
+.jp-Statusbar-ProgressCircle path {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-Statusbar-ProgressBar-progress-bar {
+  height: 10px;
+  width: 100px;
+  border: solid 0.25px var(--jp-brand-color2);
+  border-radius: 3px;
+  overflow: hidden;
+  align-self: center;
+}
+
+.jp-Statusbar-ProgressBar-progress-bar > div {
+  background-color: var(--jp-brand-color2);
+  background-image: linear-gradient(
+    -45deg,
+    rgba(255, 255, 255, 0.2) 25%,
+    transparent 25%,
+    transparent 50%,
+    rgba(255, 255, 255, 0.2) 50%,
+    rgba(255, 255, 255, 0.2) 75%,
+    transparent 75%,
+    transparent
+  );
+  background-size: 40px 40px;
+  float: left;
+  width: 0%;
+  height: 100%;
+  font-size: 12px;
+  line-height: 14px;
+  color: #fff;
+  text-align: center;
+  animation: jp-Statusbar-ExecutionTime-progress-bar 2s linear infinite;
+}
+
+.jp-Statusbar-ProgressBar-progress-bar p {
+  color: var(--jp-ui-font-color1);
+  font-family: var(--jp-ui-font-family);
+  font-size: var(--jp-ui-font-size1);
+  line-height: 10px;
+  width: 100px;
+}
+
+@keyframes jp-Statusbar-ExecutionTime-progress-bar {
+  0% {
+    background-position: 0 0;
+  }
+
+  100% {
+    background-position: 40px 40px;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-commandpalette-search-height: 28px;
+}
+
+/*-----------------------------------------------------------------------------
+| Overall styles
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette {
+  padding-bottom: 0;
+  color: var(--jp-ui-font-color1);
+  background: var(--jp-layout-color1);
+
+  /* This is needed so that all font sizing of children done in ems is
+   * relative to this base size */
+  font-size: var(--jp-ui-font-size1);
+}
+
+/*-----------------------------------------------------------------------------
+| Modal variant
+|----------------------------------------------------------------------------*/
+
+.jp-ModalCommandPalette {
+  position: absolute;
+  z-index: 10000;
+  top: 38px;
+  left: 30%;
+  margin: 0;
+  padding: 4px;
+  width: 40%;
+  box-shadow: var(--jp-elevation-z4);
+  border-radius: 4px;
+  background: var(--jp-layout-color0);
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette {
+  max-height: 40vh;
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette .lm-close-icon::after {
+  display: none;
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette .lm-CommandPalette-header {
+  display: none;
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette .lm-CommandPalette-item {
+  margin-left: 4px;
+  margin-right: 4px;
+}
+
+.jp-ModalCommandPalette
+  .lm-CommandPalette
+  .lm-CommandPalette-item.lm-mod-disabled {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Search
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette-search {
+  padding: 4px;
+  background-color: var(--jp-layout-color1);
+  z-index: 2;
+}
+
+.lm-CommandPalette-wrapper {
+  overflow: overlay;
+  padding: 0 9px;
+  background-color: var(--jp-input-active-background);
+  height: 30px;
+  box-shadow: inset 0 0 0 var(--jp-border-width) var(--jp-input-border-color);
+}
+
+.lm-CommandPalette.lm-mod-focused .lm-CommandPalette-wrapper {
+  box-shadow: inset 0 0 0 1px var(--jp-input-active-box-shadow-color),
+    inset 0 0 0 3px var(--jp-input-active-box-shadow-color);
+}
+
+.jp-SearchIconGroup {
+  color: white;
+  background-color: var(--jp-brand-color1);
+  position: absolute;
+  top: 4px;
+  right: 4px;
+  padding: 5px 5px 1px;
+}
+
+.jp-SearchIconGroup svg {
+  height: 20px;
+  width: 20px;
+}
+
+.jp-SearchIconGroup .jp-icon3[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.lm-CommandPalette-input {
+  background: transparent;
+  width: calc(100% - 18px);
+  float: left;
+  border: none;
+  outline: none;
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color0);
+  line-height: var(--jp-private-commandpalette-search-height);
+}
+
+.lm-CommandPalette-input::-webkit-input-placeholder,
+.lm-CommandPalette-input::-moz-placeholder,
+.lm-CommandPalette-input:-ms-input-placeholder {
+  color: var(--jp-ui-font-color2);
+  font-size: var(--jp-ui-font-size1);
+}
+
+/*-----------------------------------------------------------------------------
+| Results
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette-header:first-child {
+  margin-top: 0;
+}
+
+.lm-CommandPalette-header {
+  border-bottom: solid var(--jp-border-width) var(--jp-border-color2);
+  color: var(--jp-ui-font-color1);
+  cursor: pointer;
+  display: flex;
+  font-size: var(--jp-ui-font-size0);
+  font-weight: 600;
+  letter-spacing: 1px;
+  margin-top: 8px;
+  padding: 8px 0 8px 12px;
+  text-transform: uppercase;
+}
+
+.lm-CommandPalette-header.lm-mod-active {
+  background: var(--jp-layout-color2);
+}
+
+.lm-CommandPalette-header > mark {
+  background-color: transparent;
+  font-weight: bold;
+  color: var(--jp-ui-font-color1);
+}
+
+.lm-CommandPalette-item {
+  padding: 4px 12px 4px 4px;
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  font-weight: 400;
+  display: flex;
+}
+
+.lm-CommandPalette-item.lm-mod-disabled {
+  color: var(--jp-ui-font-color2);
+}
+
+.lm-CommandPalette-item.lm-mod-active {
+  color: var(--jp-ui-inverse-font-color1);
+  background: var(--jp-brand-color1);
+}
+
+.lm-CommandPalette-item.lm-mod-active .lm-CommandPalette-itemLabel > mark {
+  color: var(--jp-ui-inverse-font-color0);
+}
+
+.lm-CommandPalette-item.lm-mod-active .jp-icon-selectable[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.lm-CommandPalette-item.lm-mod-active:hover:not(.lm-mod-disabled) {
+  color: var(--jp-ui-inverse-font-color1);
+  background: var(--jp-brand-color1);
+}
+
+.lm-CommandPalette-item:hover:not(.lm-mod-active):not(.lm-mod-disabled) {
+  background: var(--jp-layout-color2);
+}
+
+.lm-CommandPalette-itemContent {
+  overflow: hidden;
+}
+
+.lm-CommandPalette-itemLabel > mark {
+  color: var(--jp-ui-font-color0);
+  background-color: transparent;
+  font-weight: bold;
+}
+
+.lm-CommandPalette-item.lm-mod-disabled mark {
+  color: var(--jp-ui-font-color2);
+}
+
+.lm-CommandPalette-item .lm-CommandPalette-itemIcon {
+  margin: 0 4px 0 0;
+  position: relative;
+  width: 16px;
+  top: 2px;
+  flex: 0 0 auto;
+}
+
+.lm-CommandPalette-item.lm-mod-disabled .lm-CommandPalette-itemIcon {
+  opacity: 0.6;
+}
+
+.lm-CommandPalette-item .lm-CommandPalette-itemShortcut {
+  flex: 0 0 auto;
+}
+
+.lm-CommandPalette-itemCaption {
+  display: none;
+}
+
+.lm-CommandPalette-content {
+  background-color: var(--jp-layout-color1);
+}
+
+.lm-CommandPalette-content:empty::after {
+  content: 'No results';
+  margin: auto;
+  margin-top: 20px;
+  width: 100px;
+  display: block;
+  font-size: var(--jp-ui-font-size2);
+  font-family: var(--jp-ui-font-family);
+  font-weight: lighter;
+}
+
+.lm-CommandPalette-emptyMessage {
+  text-align: center;
+  margin-top: 24px;
+  line-height: 1.32;
+  padding: 0 8px;
+  color: var(--jp-content-font-color3);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Dialog {
+  position: absolute;
+  z-index: 10000;
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  justify-content: center;
+  top: 0;
+  left: 0;
+  margin: 0;
+  padding: 0;
+  width: 100%;
+  height: 100%;
+  background: var(--jp-dialog-background);
+}
+
+.jp-Dialog-content {
+  display: flex;
+  flex-direction: column;
+  margin-left: auto;
+  margin-right: auto;
+  background: var(--jp-layout-color1);
+  padding: 24px 24px 12px;
+  min-width: 300px;
+  min-height: 150px;
+  max-width: 1000px;
+  max-height: 500px;
+  box-sizing: border-box;
+  box-shadow: var(--jp-elevation-z20);
+  word-wrap: break-word;
+  border-radius: var(--jp-border-radius);
+
+  /* This is needed so that all font sizing of children done in ems is
+   * relative to this base size */
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color1);
+  resize: both;
+}
+
+.jp-Dialog-content.jp-Dialog-content-small {
+  max-width: 500px;
+}
+
+.jp-Dialog-button {
+  overflow: visible;
+}
+
+button.jp-Dialog-button:focus {
+  outline: 1px solid var(--jp-brand-color1);
+  outline-offset: 4px;
+  -moz-outline-radius: 0;
+}
+
+button.jp-Dialog-button:focus::-moz-focus-inner {
+  border: 0;
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-accept:focus,
+button.jp-Dialog-button.jp-mod-styled.jp-mod-warn:focus,
+button.jp-Dialog-button.jp-mod-styled.jp-mod-reject:focus {
+  outline-offset: 4px;
+  -moz-outline-radius: 0;
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-accept:focus {
+  outline: 1px solid var(--jp-accept-color-normal, var(--jp-brand-color1));
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-warn:focus {
+  outline: 1px solid var(--jp-warn-color-normal, var(--jp-error-color1));
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-reject:focus {
+  outline: 1px solid var(--jp-reject-color-normal, var(--md-grey-600));
+}
+
+button.jp-Dialog-close-button {
+  padding: 0;
+  height: 100%;
+  min-width: unset;
+  min-height: unset;
+}
+
+.jp-Dialog-header {
+  display: flex;
+  justify-content: space-between;
+  flex: 0 0 auto;
+  padding-bottom: 12px;
+  font-size: var(--jp-ui-font-size3);
+  font-weight: 400;
+  color: var(--jp-ui-font-color1);
+}
+
+.jp-Dialog-body {
+  display: flex;
+  flex-direction: column;
+  flex: 1 1 auto;
+  font-size: var(--jp-ui-font-size1);
+  background: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  overflow: auto;
+}
+
+.jp-Dialog-footer {
+  display: flex;
+  flex-direction: row;
+  justify-content: flex-end;
+  align-items: center;
+  flex: 0 0 auto;
+  margin-left: -12px;
+  margin-right: -12px;
+  padding: 12px;
+}
+
+.jp-Dialog-checkbox {
+  padding-right: 5px;
+}
+
+.jp-Dialog-checkbox > input:focus-visible {
+  outline: 1px solid var(--jp-input-active-border-color);
+  outline-offset: 1px;
+}
+
+.jp-Dialog-spacer {
+  flex: 1 1 auto;
+}
+
+.jp-Dialog-title {
+  overflow: hidden;
+  white-space: nowrap;
+  text-overflow: ellipsis;
+}
+
+.jp-Dialog-body > .jp-select-wrapper {
+  width: 100%;
+}
+
+.jp-Dialog-body > button {
+  padding: 0 16px;
+}
+
+.jp-Dialog-body > label {
+  line-height: 1.4;
+  color: var(--jp-ui-font-color0);
+}
+
+.jp-Dialog-button.jp-mod-styled:not(:last-child) {
+  margin-right: 12px;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-Input-Boolean-Dialog {
+  flex-direction: row-reverse;
+  align-items: end;
+  width: 100%;
+}
+
+.jp-Input-Boolean-Dialog > label {
+  flex: 1 1 auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-MainAreaWidget > :focus {
+  outline: none;
+}
+
+.jp-MainAreaWidget .jp-MainAreaWidget-error {
+  padding: 6px;
+}
+
+.jp-MainAreaWidget .jp-MainAreaWidget-error > pre {
+  width: auto;
+  padding: 10px;
+  background: var(--jp-error-color3);
+  border: var(--jp-border-width) solid var(--jp-error-color1);
+  border-radius: var(--jp-border-radius);
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  white-space: pre-wrap;
+  word-wrap: break-word;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/**
+ * google-material-color v1.2.6
+ * https://github.com/danlevan/google-material-color
+ */
+:root {
+  --md-red-50: #ffebee;
+  --md-red-100: #ffcdd2;
+  --md-red-200: #ef9a9a;
+  --md-red-300: #e57373;
+  --md-red-400: #ef5350;
+  --md-red-500: #f44336;
+  --md-red-600: #e53935;
+  --md-red-700: #d32f2f;
+  --md-red-800: #c62828;
+  --md-red-900: #b71c1c;
+  --md-red-A100: #ff8a80;
+  --md-red-A200: #ff5252;
+  --md-red-A400: #ff1744;
+  --md-red-A700: #d50000;
+  --md-pink-50: #fce4ec;
+  --md-pink-100: #f8bbd0;
+  --md-pink-200: #f48fb1;
+  --md-pink-300: #f06292;
+  --md-pink-400: #ec407a;
+  --md-pink-500: #e91e63;
+  --md-pink-600: #d81b60;
+  --md-pink-700: #c2185b;
+  --md-pink-800: #ad1457;
+  --md-pink-900: #880e4f;
+  --md-pink-A100: #ff80ab;
+  --md-pink-A200: #ff4081;
+  --md-pink-A400: #f50057;
+  --md-pink-A700: #c51162;
+  --md-purple-50: #f3e5f5;
+  --md-purple-100: #e1bee7;
+  --md-purple-200: #ce93d8;
+  --md-purple-300: #ba68c8;
+  --md-purple-400: #ab47bc;
+  --md-purple-500: #9c27b0;
+  --md-purple-600: #8e24aa;
+  --md-purple-700: #7b1fa2;
+  --md-purple-800: #6a1b9a;
+  --md-purple-900: #4a148c;
+  --md-purple-A100: #ea80fc;
+  --md-purple-A200: #e040fb;
+  --md-purple-A400: #d500f9;
+  --md-purple-A700: #a0f;
+  --md-deep-purple-50: #ede7f6;
+  --md-deep-purple-100: #d1c4e9;
+  --md-deep-purple-200: #b39ddb;
+  --md-deep-purple-300: #9575cd;
+  --md-deep-purple-400: #7e57c2;
+  --md-deep-purple-500: #673ab7;
+  --md-deep-purple-600: #5e35b1;
+  --md-deep-purple-700: #512da8;
+  --md-deep-purple-800: #4527a0;
+  --md-deep-purple-900: #311b92;
+  --md-deep-purple-A100: #b388ff;
+  --md-deep-purple-A200: #7c4dff;
+  --md-deep-purple-A400: #651fff;
+  --md-deep-purple-A700: #6200ea;
+  --md-indigo-50: #e8eaf6;
+  --md-indigo-100: #c5cae9;
+  --md-indigo-200: #9fa8da;
+  --md-indigo-300: #7986cb;
+  --md-indigo-400: #5c6bc0;
+  --md-indigo-500: #3f51b5;
+  --md-indigo-600: #3949ab;
+  --md-indigo-700: #303f9f;
+  --md-indigo-800: #283593;
+  --md-indigo-900: #1a237e;
+  --md-indigo-A100: #8c9eff;
+  --md-indigo-A200: #536dfe;
+  --md-indigo-A400: #3d5afe;
+  --md-indigo-A700: #304ffe;
+  --md-blue-50: #e3f2fd;
+  --md-blue-100: #bbdefb;
+  --md-blue-200: #90caf9;
+  --md-blue-300: #64b5f6;
+  --md-blue-400: #42a5f5;
+  --md-blue-500: #2196f3;
+  --md-blue-600: #1e88e5;
+  --md-blue-700: #1976d2;
+  --md-blue-800: #1565c0;
+  --md-blue-900: #0d47a1;
+  --md-blue-A100: #82b1ff;
+  --md-blue-A200: #448aff;
+  --md-blue-A400: #2979ff;
+  --md-blue-A700: #2962ff;
+  --md-light-blue-50: #e1f5fe;
+  --md-light-blue-100: #b3e5fc;
+  --md-light-blue-200: #81d4fa;
+  --md-light-blue-300: #4fc3f7;
+  --md-light-blue-400: #29b6f6;
+  --md-light-blue-500: #03a9f4;
+  --md-light-blue-600: #039be5;
+  --md-light-blue-700: #0288d1;
+  --md-light-blue-800: #0277bd;
+  --md-light-blue-900: #01579b;
+  --md-light-blue-A100: #80d8ff;
+  --md-light-blue-A200: #40c4ff;
+  --md-light-blue-A400: #00b0ff;
+  --md-light-blue-A700: #0091ea;
+  --md-cyan-50: #e0f7fa;
+  --md-cyan-100: #b2ebf2;
+  --md-cyan-200: #80deea;
+  --md-cyan-300: #4dd0e1;
+  --md-cyan-400: #26c6da;
+  --md-cyan-500: #00bcd4;
+  --md-cyan-600: #00acc1;
+  --md-cyan-700: #0097a7;
+  --md-cyan-800: #00838f;
+  --md-cyan-900: #006064;
+  --md-cyan-A100: #84ffff;
+  --md-cyan-A200: #18ffff;
+  --md-cyan-A400: #00e5ff;
+  --md-cyan-A700: #00b8d4;
+  --md-teal-50: #e0f2f1;
+  --md-teal-100: #b2dfdb;
+  --md-teal-200: #80cbc4;
+  --md-teal-300: #4db6ac;
+  --md-teal-400: #26a69a;
+  --md-teal-500: #009688;
+  --md-teal-600: #00897b;
+  --md-teal-700: #00796b;
+  --md-teal-800: #00695c;
+  --md-teal-900: #004d40;
+  --md-teal-A100: #a7ffeb;
+  --md-teal-A200: #64ffda;
+  --md-teal-A400: #1de9b6;
+  --md-teal-A700: #00bfa5;
+  --md-green-50: #e8f5e9;
+  --md-green-100: #c8e6c9;
+  --md-green-200: #a5d6a7;
+  --md-green-300: #81c784;
+  --md-green-400: #66bb6a;
+  --md-green-500: #4caf50;
+  --md-green-600: #43a047;
+  --md-green-700: #388e3c;
+  --md-green-800: #2e7d32;
+  --md-green-900: #1b5e20;
+  --md-green-A100: #b9f6ca;
+  --md-green-A200: #69f0ae;
+  --md-green-A400: #00e676;
+  --md-green-A700: #00c853;
+  --md-light-green-50: #f1f8e9;
+  --md-light-green-100: #dcedc8;
+  --md-light-green-200: #c5e1a5;
+  --md-light-green-300: #aed581;
+  --md-light-green-400: #9ccc65;
+  --md-light-green-500: #8bc34a;
+  --md-light-green-600: #7cb342;
+  --md-light-green-700: #689f38;
+  --md-light-green-800: #558b2f;
+  --md-light-green-900: #33691e;
+  --md-light-green-A100: #ccff90;
+  --md-light-green-A200: #b2ff59;
+  --md-light-green-A400: #76ff03;
+  --md-light-green-A700: #64dd17;
+  --md-lime-50: #f9fbe7;
+  --md-lime-100: #f0f4c3;
+  --md-lime-200: #e6ee9c;
+  --md-lime-300: #dce775;
+  --md-lime-400: #d4e157;
+  --md-lime-500: #cddc39;
+  --md-lime-600: #c0ca33;
+  --md-lime-700: #afb42b;
+  --md-lime-800: #9e9d24;
+  --md-lime-900: #827717;
+  --md-lime-A100: #f4ff81;
+  --md-lime-A200: #eeff41;
+  --md-lime-A400: #c6ff00;
+  --md-lime-A700: #aeea00;
+  --md-yellow-50: #fffde7;
+  --md-yellow-100: #fff9c4;
+  --md-yellow-200: #fff59d;
+  --md-yellow-300: #fff176;
+  --md-yellow-400: #ffee58;
+  --md-yellow-500: #ffeb3b;
+  --md-yellow-600: #fdd835;
+  --md-yellow-700: #fbc02d;
+  --md-yellow-800: #f9a825;
+  --md-yellow-900: #f57f17;
+  --md-yellow-A100: #ffff8d;
+  --md-yellow-A200: #ff0;
+  --md-yellow-A400: #ffea00;
+  --md-yellow-A700: #ffd600;
+  --md-amber-50: #fff8e1;
+  --md-amber-100: #ffecb3;
+  --md-amber-200: #ffe082;
+  --md-amber-300: #ffd54f;
+  --md-amber-400: #ffca28;
+  --md-amber-500: #ffc107;
+  --md-amber-600: #ffb300;
+  --md-amber-700: #ffa000;
+  --md-amber-800: #ff8f00;
+  --md-amber-900: #ff6f00;
+  --md-amber-A100: #ffe57f;
+  --md-amber-A200: #ffd740;
+  --md-amber-A400: #ffc400;
+  --md-amber-A700: #ffab00;
+  --md-orange-50: #fff3e0;
+  --md-orange-100: #ffe0b2;
+  --md-orange-200: #ffcc80;
+  --md-orange-300: #ffb74d;
+  --md-orange-400: #ffa726;
+  --md-orange-500: #ff9800;
+  --md-orange-600: #fb8c00;
+  --md-orange-700: #f57c00;
+  --md-orange-800: #ef6c00;
+  --md-orange-900: #e65100;
+  --md-orange-A100: #ffd180;
+  --md-orange-A200: #ffab40;
+  --md-orange-A400: #ff9100;
+  --md-orange-A700: #ff6d00;
+  --md-deep-orange-50: #fbe9e7;
+  --md-deep-orange-100: #ffccbc;
+  --md-deep-orange-200: #ffab91;
+  --md-deep-orange-300: #ff8a65;
+  --md-deep-orange-400: #ff7043;
+  --md-deep-orange-500: #ff5722;
+  --md-deep-orange-600: #f4511e;
+  --md-deep-orange-700: #e64a19;
+  --md-deep-orange-800: #d84315;
+  --md-deep-orange-900: #bf360c;
+  --md-deep-orange-A100: #ff9e80;
+  --md-deep-orange-A200: #ff6e40;
+  --md-deep-orange-A400: #ff3d00;
+  --md-deep-orange-A700: #dd2c00;
+  --md-brown-50: #efebe9;
+  --md-brown-100: #d7ccc8;
+  --md-brown-200: #bcaaa4;
+  --md-brown-300: #a1887f;
+  --md-brown-400: #8d6e63;
+  --md-brown-500: #795548;
+  --md-brown-600: #6d4c41;
+  --md-brown-700: #5d4037;
+  --md-brown-800: #4e342e;
+  --md-brown-900: #3e2723;
+  --md-grey-50: #fafafa;
+  --md-grey-100: #f5f5f5;
+  --md-grey-200: #eee;
+  --md-grey-300: #e0e0e0;
+  --md-grey-400: #bdbdbd;
+  --md-grey-500: #9e9e9e;
+  --md-grey-600: #757575;
+  --md-grey-700: #616161;
+  --md-grey-800: #424242;
+  --md-grey-900: #212121;
+  --md-blue-grey-50: #eceff1;
+  --md-blue-grey-100: #cfd8dc;
+  --md-blue-grey-200: #b0bec5;
+  --md-blue-grey-300: #90a4ae;
+  --md-blue-grey-400: #78909c;
+  --md-blue-grey-500: #607d8b;
+  --md-blue-grey-600: #546e7a;
+  --md-blue-grey-700: #455a64;
+  --md-blue-grey-800: #37474f;
+  --md-blue-grey-900: #263238;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| RenderedText
+|----------------------------------------------------------------------------*/
+
+:root {
+  /* This is the padding value to fill the gaps between lines containing spans with background color. */
+  --jp-private-code-span-padding: calc(
+    (var(--jp-code-line-height) - 1) * var(--jp-code-font-size) / 2
+  );
+}
+
+.jp-RenderedText {
+  text-align: left;
+  padding-left: var(--jp-code-padding);
+  line-height: var(--jp-code-line-height);
+  font-family: var(--jp-code-font-family);
+}
+
+.jp-RenderedText pre,
+.jp-RenderedJavaScript pre,
+.jp-RenderedHTMLCommon pre {
+  color: var(--jp-content-font-color1);
+  font-size: var(--jp-code-font-size);
+  border: none;
+  margin: 0;
+  padding: 0;
+}
+
+.jp-RenderedText pre a:link {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+.jp-RenderedText pre a:hover {
+  text-decoration: underline;
+  color: var(--jp-content-link-color);
+}
+
+.jp-RenderedText pre a:visited {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+/* console foregrounds and backgrounds */
+.jp-RenderedText pre .ansi-black-fg {
+  color: #3e424d;
+}
+
+.jp-RenderedText pre .ansi-red-fg {
+  color: #e75c58;
+}
+
+.jp-RenderedText pre .ansi-green-fg {
+  color: #00a250;
+}
+
+.jp-RenderedText pre .ansi-yellow-fg {
+  color: #ddb62b;
+}
+
+.jp-RenderedText pre .ansi-blue-fg {
+  color: #208ffb;
+}
+
+.jp-RenderedText pre .ansi-magenta-fg {
+  color: #d160c4;
+}
+
+.jp-RenderedText pre .ansi-cyan-fg {
+  color: #60c6c8;
+}
+
+.jp-RenderedText pre .ansi-white-fg {
+  color: #c5c1b4;
+}
+
+.jp-RenderedText pre .ansi-black-bg {
+  background-color: #3e424d;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-red-bg {
+  background-color: #e75c58;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-green-bg {
+  background-color: #00a250;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-yellow-bg {
+  background-color: #ddb62b;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-blue-bg {
+  background-color: #208ffb;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-magenta-bg {
+  background-color: #d160c4;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-cyan-bg {
+  background-color: #60c6c8;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-white-bg {
+  background-color: #c5c1b4;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-black-intense-fg {
+  color: #282c36;
+}
+
+.jp-RenderedText pre .ansi-red-intense-fg {
+  color: #b22b31;
+}
+
+.jp-RenderedText pre .ansi-green-intense-fg {
+  color: #007427;
+}
+
+.jp-RenderedText pre .ansi-yellow-intense-fg {
+  color: #b27d12;
+}
+
+.jp-RenderedText pre .ansi-blue-intense-fg {
+  color: #0065ca;
+}
+
+.jp-RenderedText pre .ansi-magenta-intense-fg {
+  color: #a03196;
+}
+
+.jp-RenderedText pre .ansi-cyan-intense-fg {
+  color: #258f8f;
+}
+
+.jp-RenderedText pre .ansi-white-intense-fg {
+  color: #a1a6b2;
+}
+
+.jp-RenderedText pre .ansi-black-intense-bg {
+  background-color: #282c36;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-red-intense-bg {
+  background-color: #b22b31;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-green-intense-bg {
+  background-color: #007427;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-yellow-intense-bg {
+  background-color: #b27d12;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-blue-intense-bg {
+  background-color: #0065ca;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-magenta-intense-bg {
+  background-color: #a03196;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-cyan-intense-bg {
+  background-color: #258f8f;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-white-intense-bg {
+  background-color: #a1a6b2;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-default-inverse-fg {
+  color: var(--jp-ui-inverse-font-color0);
+}
+
+.jp-RenderedText pre .ansi-default-inverse-bg {
+  background-color: var(--jp-inverse-layout-color0);
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-bold {
+  font-weight: bold;
+}
+
+.jp-RenderedText pre .ansi-underline {
+  text-decoration: underline;
+}
+
+.jp-RenderedText[data-mime-type='application/vnd.jupyter.stderr'] {
+  background: var(--jp-rendermime-error-background);
+  padding-top: var(--jp-code-padding);
+}
+
+/*-----------------------------------------------------------------------------
+| RenderedLatex
+|----------------------------------------------------------------------------*/
+
+.jp-RenderedLatex {
+  color: var(--jp-content-font-color1);
+  font-size: var(--jp-content-font-size1);
+  line-height: var(--jp-content-line-height);
+}
+
+/* Left-justify outputs.*/
+.jp-OutputArea-output.jp-RenderedLatex {
+  padding: var(--jp-code-padding);
+  text-align: left;
+}
+
+/*-----------------------------------------------------------------------------
+| RenderedHTML
+|----------------------------------------------------------------------------*/
+
+.jp-RenderedHTMLCommon {
+  color: var(--jp-content-font-color1);
+  font-family: var(--jp-content-font-family);
+  font-size: var(--jp-content-font-size1);
+  line-height: var(--jp-content-line-height);
+
+  /* Give a bit more R padding on Markdown text to keep line lengths reasonable */
+  padding-right: 20px;
+}
+
+.jp-RenderedHTMLCommon em {
+  font-style: italic;
+}
+
+.jp-RenderedHTMLCommon strong {
+  font-weight: bold;
+}
+
+.jp-RenderedHTMLCommon u {
+  text-decoration: underline;
+}
+
+.jp-RenderedHTMLCommon a:link {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+.jp-RenderedHTMLCommon a:hover {
+  text-decoration: underline;
+  color: var(--jp-content-link-color);
+}
+
+.jp-RenderedHTMLCommon a:visited {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+/* Headings */
+
+.jp-RenderedHTMLCommon h1,
+.jp-RenderedHTMLCommon h2,
+.jp-RenderedHTMLCommon h3,
+.jp-RenderedHTMLCommon h4,
+.jp-RenderedHTMLCommon h5,
+.jp-RenderedHTMLCommon h6 {
+  line-height: var(--jp-content-heading-line-height);
+  font-weight: var(--jp-content-heading-font-weight);
+  font-style: normal;
+  margin: var(--jp-content-heading-margin-top) 0
+    var(--jp-content-heading-margin-bottom) 0;
+}
+
+.jp-RenderedHTMLCommon h1:first-child,
+.jp-RenderedHTMLCommon h2:first-child,
+.jp-RenderedHTMLCommon h3:first-child,
+.jp-RenderedHTMLCommon h4:first-child,
+.jp-RenderedHTMLCommon h5:first-child,
+.jp-RenderedHTMLCommon h6:first-child {
+  margin-top: calc(0.5 * var(--jp-content-heading-margin-top));
+}
+
+.jp-RenderedHTMLCommon h1:last-child,
+.jp-RenderedHTMLCommon h2:last-child,
+.jp-RenderedHTMLCommon h3:last-child,
+.jp-RenderedHTMLCommon h4:last-child,
+.jp-RenderedHTMLCommon h5:last-child,
+.jp-RenderedHTMLCommon h6:last-child {
+  margin-bottom: calc(0.5 * var(--jp-content-heading-margin-bottom));
+}
+
+.jp-RenderedHTMLCommon h1 {
+  font-size: var(--jp-content-font-size5);
+}
+
+.jp-RenderedHTMLCommon h2 {
+  font-size: var(--jp-content-font-size4);
+}
+
+.jp-RenderedHTMLCommon h3 {
+  font-size: var(--jp-content-font-size3);
+}
+
+.jp-RenderedHTMLCommon h4 {
+  font-size: var(--jp-content-font-size2);
+}
+
+.jp-RenderedHTMLCommon h5 {
+  font-size: var(--jp-content-font-size1);
+}
+
+.jp-RenderedHTMLCommon h6 {
+  font-size: var(--jp-content-font-size0);
+}
+
+/* Lists */
+
+/* stylelint-disable selector-max-type, selector-max-compound-selectors */
+
+.jp-RenderedHTMLCommon ul:not(.list-inline),
+.jp-RenderedHTMLCommon ol:not(.list-inline) {
+  padding-left: 2em;
+}
+
+.jp-RenderedHTMLCommon ul {
+  list-style: disc;
+}
+
+.jp-RenderedHTMLCommon ul ul {
+  list-style: square;
+}
+
+.jp-RenderedHTMLCommon ul ul ul {
+  list-style: circle;
+}
+
+.jp-RenderedHTMLCommon ol {
+  list-style: decimal;
+}
+
+.jp-RenderedHTMLCommon ol ol {
+  list-style: upper-alpha;
+}
+
+.jp-RenderedHTMLCommon ol ol ol {
+  list-style: lower-alpha;
+}
+
+.jp-RenderedHTMLCommon ol ol ol ol {
+  list-style: lower-roman;
+}
+
+.jp-RenderedHTMLCommon ol ol ol ol ol {
+  list-style: decimal;
+}
+
+.jp-RenderedHTMLCommon ol,
+.jp-RenderedHTMLCommon ul {
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon ul ul,
+.jp-RenderedHTMLCommon ul ol,
+.jp-RenderedHTMLCommon ol ul,
+.jp-RenderedHTMLCommon ol ol {
+  margin-bottom: 0;
+}
+
+/* stylelint-enable selector-max-type, selector-max-compound-selectors */
+
+.jp-RenderedHTMLCommon hr {
+  color: var(--jp-border-color2);
+  background-color: var(--jp-border-color1);
+  margin-top: 1em;
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon > pre {
+  margin: 1.5em 2em;
+}
+
+.jp-RenderedHTMLCommon pre,
+.jp-RenderedHTMLCommon code {
+  border: 0;
+  background-color: var(--jp-layout-color0);
+  color: var(--jp-content-font-color1);
+  font-family: var(--jp-code-font-family);
+  font-size: inherit;
+  line-height: var(--jp-code-line-height);
+  padding: 0;
+  white-space: pre-wrap;
+}
+
+.jp-RenderedHTMLCommon :not(pre) > code {
+  background-color: var(--jp-layout-color2);
+  padding: 1px 5px;
+}
+
+/* Tables */
+
+.jp-RenderedHTMLCommon table {
+  border-collapse: collapse;
+  border-spacing: 0;
+  border: none;
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  table-layout: fixed;
+  margin-left: auto;
+  margin-bottom: 1em;
+  margin-right: auto;
+}
+
+.jp-RenderedHTMLCommon thead {
+  border-bottom: var(--jp-border-width) solid var(--jp-border-color1);
+  vertical-align: bottom;
+}
+
+.jp-RenderedHTMLCommon td,
+.jp-RenderedHTMLCommon th,
+.jp-RenderedHTMLCommon tr {
+  vertical-align: middle;
+  padding: 0.5em;
+  line-height: normal;
+  white-space: normal;
+  max-width: none;
+  border: none;
+}
+
+.jp-RenderedMarkdown.jp-RenderedHTMLCommon td,
+.jp-RenderedMarkdown.jp-RenderedHTMLCommon th {
+  max-width: none;
+}
+
+:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon td,
+:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon th,
+:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon tr {
+  text-align: right;
+}
+
+.jp-RenderedHTMLCommon th {
+  font-weight: bold;
+}
+
+.jp-RenderedHTMLCommon tbody tr:nth-child(odd) {
+  background: var(--jp-layout-color0);
+}
+
+.jp-RenderedHTMLCommon tbody tr:nth-child(even) {
+  background: var(--jp-rendermime-table-row-background);
+}
+
+.jp-RenderedHTMLCommon tbody tr:hover {
+  background: var(--jp-rendermime-table-row-hover-background);
+}
+
+.jp-RenderedHTMLCommon p {
+  text-align: left;
+  margin: 0;
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon img {
+  -moz-force-broken-image-icon: 1;
+}
+
+/* Restrict to direct children as other images could be nested in other content. */
+.jp-RenderedHTMLCommon > img {
+  display: block;
+  margin-left: 0;
+  margin-right: 0;
+  margin-bottom: 1em;
+}
+
+/* Change color behind transparent images if they need it... */
+[data-jp-theme-light='false'] .jp-RenderedImage img.jp-needs-light-background {
+  background-color: var(--jp-inverse-layout-color1);
+}
+
+[data-jp-theme-light='true'] .jp-RenderedImage img.jp-needs-dark-background {
+  background-color: var(--jp-inverse-layout-color1);
+}
+
+.jp-RenderedHTMLCommon img,
+.jp-RenderedImage img,
+.jp-RenderedHTMLCommon svg,
+.jp-RenderedSVG svg {
+  max-width: 100%;
+  height: auto;
+}
+
+.jp-RenderedHTMLCommon img.jp-mod-unconfined,
+.jp-RenderedImage img.jp-mod-unconfined,
+.jp-RenderedHTMLCommon svg.jp-mod-unconfined,
+.jp-RenderedSVG svg.jp-mod-unconfined {
+  max-width: none;
+}
+
+.jp-RenderedHTMLCommon .alert {
+  padding: var(--jp-notebook-padding);
+  border: var(--jp-border-width) solid transparent;
+  border-radius: var(--jp-border-radius);
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon .alert-info {
+  color: var(--jp-info-color0);
+  background-color: var(--jp-info-color3);
+  border-color: var(--jp-info-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-info hr {
+  border-color: var(--jp-info-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-info > p:last-child,
+.jp-RenderedHTMLCommon .alert-info > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon .alert-warning {
+  color: var(--jp-warn-color0);
+  background-color: var(--jp-warn-color3);
+  border-color: var(--jp-warn-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-warning hr {
+  border-color: var(--jp-warn-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-warning > p:last-child,
+.jp-RenderedHTMLCommon .alert-warning > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon .alert-success {
+  color: var(--jp-success-color0);
+  background-color: var(--jp-success-color3);
+  border-color: var(--jp-success-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-success hr {
+  border-color: var(--jp-success-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-success > p:last-child,
+.jp-RenderedHTMLCommon .alert-success > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon .alert-danger {
+  color: var(--jp-error-color0);
+  background-color: var(--jp-error-color3);
+  border-color: var(--jp-error-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-danger hr {
+  border-color: var(--jp-error-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-danger > p:last-child,
+.jp-RenderedHTMLCommon .alert-danger > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon blockquote {
+  margin: 1em 2em;
+  padding: 0 1em;
+  border-left: 5px solid var(--jp-border-color2);
+}
+
+a.jp-InternalAnchorLink {
+  visibility: hidden;
+  margin-left: 8px;
+  color: var(--md-blue-800);
+}
+
+h1:hover .jp-InternalAnchorLink,
+h2:hover .jp-InternalAnchorLink,
+h3:hover .jp-InternalAnchorLink,
+h4:hover .jp-InternalAnchorLink,
+h5:hover .jp-InternalAnchorLink,
+h6:hover .jp-InternalAnchorLink {
+  visibility: visible;
+}
+
+.jp-RenderedHTMLCommon kbd {
+  background-color: var(--jp-rendermime-table-row-background);
+  border: 1px solid var(--jp-border-color0);
+  border-bottom-color: var(--jp-border-color2);
+  border-radius: 3px;
+  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.25);
+  display: inline-block;
+  font-size: var(--jp-ui-font-size0);
+  line-height: 1em;
+  padding: 0.2em 0.5em;
+}
+
+/* Most direct children of .jp-RenderedHTMLCommon have a margin-bottom of 1.0.
+ * At the bottom of cells this is a bit too much as there is also spacing
+ * between cells. Going all the way to 0 gets too tight between markdown and
+ * code cells.
+ */
+.jp-RenderedHTMLCommon > *:last-child {
+  margin-bottom: 0.5em;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-cursor-backdrop {
+  position: fixed;
+  width: 200px;
+  height: 200px;
+  margin-top: -100px;
+  margin-left: -100px;
+  will-change: transform;
+  z-index: 100;
+}
+
+.lm-mod-drag-image {
+  will-change: transform;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-lineFormSearch {
+  padding: 4px 12px;
+  background-color: var(--jp-layout-color2);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  z-index: 2;
+  font-size: var(--jp-ui-font-size1);
+}
+
+.jp-lineFormCaption {
+  font-size: var(--jp-ui-font-size0);
+  line-height: var(--jp-ui-font-size1);
+  margin-top: 4px;
+  color: var(--jp-ui-font-color0);
+}
+
+.jp-baseLineForm {
+  border: none;
+  border-radius: 0;
+  position: absolute;
+  background-size: 16px;
+  background-repeat: no-repeat;
+  background-position: center;
+  outline: none;
+}
+
+.jp-lineFormButtonContainer {
+  top: 4px;
+  right: 8px;
+  height: 24px;
+  padding: 0 12px;
+  width: 12px;
+}
+
+.jp-lineFormButtonIcon {
+  top: 0;
+  right: 0;
+  background-color: var(--jp-brand-color1);
+  height: 100%;
+  width: 100%;
+  box-sizing: border-box;
+  padding: 4px 6px;
+}
+
+.jp-lineFormButton {
+  top: 0;
+  right: 0;
+  background-color: transparent;
+  height: 100%;
+  width: 100%;
+  box-sizing: border-box;
+}
+
+.jp-lineFormWrapper {
+  overflow: hidden;
+  padding: 0 8px;
+  border: 1px solid var(--jp-border-color0);
+  background-color: var(--jp-input-active-background);
+  height: 22px;
+}
+
+.jp-lineFormWrapperFocusWithin {
+  border: var(--jp-border-width) solid var(--md-blue-500);
+  box-shadow: inset 0 0 4px var(--md-blue-300);
+}
+
+.jp-lineFormInput {
+  background: transparent;
+  width: 200px;
+  height: 100%;
+  border: none;
+  outline: none;
+  color: var(--jp-ui-font-color0);
+  line-height: 28px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-JSONEditor {
+  display: flex;
+  flex-direction: column;
+  width: 100%;
+}
+
+.jp-JSONEditor-host {
+  flex: 1 1 auto;
+  border: var(--jp-border-width) solid var(--jp-input-border-color);
+  border-radius: 0;
+  background: var(--jp-layout-color0);
+  min-height: 50px;
+  padding: 1px;
+}
+
+.jp-JSONEditor.jp-mod-error .jp-JSONEditor-host {
+  border-color: red;
+  outline-color: red;
+}
+
+.jp-JSONEditor-header {
+  display: flex;
+  flex: 1 0 auto;
+  padding: 0 0 0 12px;
+}
+
+.jp-JSONEditor-header label {
+  flex: 0 0 auto;
+}
+
+.jp-JSONEditor-commitButton {
+  height: 16px;
+  width: 16px;
+  background-size: 18px;
+  background-repeat: no-repeat;
+  background-position: center;
+}
+
+.jp-JSONEditor-host.jp-mod-focused {
+  background-color: var(--jp-input-active-background);
+  border: 1px solid var(--jp-input-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+}
+
+.jp-Editor.jp-mod-dropTarget {
+  border: var(--jp-border-width) solid var(--jp-input-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+.jp-DocumentSearch-input {
+  border: none;
+  outline: none;
+  color: var(--jp-ui-font-color0);
+  font-size: var(--jp-ui-font-size1);
+  background-color: var(--jp-layout-color0);
+  font-family: var(--jp-ui-font-family);
+  padding: 2px 1px;
+  resize: none;
+}
+
+.jp-DocumentSearch-overlay {
+  position: absolute;
+  background-color: var(--jp-toolbar-background);
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  border-left: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  top: 0;
+  right: 0;
+  z-index: 7;
+  min-width: 405px;
+  padding: 2px;
+  font-size: var(--jp-ui-font-size1);
+
+  --jp-private-document-search-button-height: 20px;
+}
+
+.jp-DocumentSearch-overlay button {
+  background-color: var(--jp-toolbar-background);
+  outline: 0;
+}
+
+.jp-DocumentSearch-overlay button:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-overlay button:active {
+  background-color: var(--jp-layout-color3);
+}
+
+.jp-DocumentSearch-overlay-row {
+  display: flex;
+  align-items: center;
+  margin-bottom: 2px;
+}
+
+.jp-DocumentSearch-button-content {
+  display: inline-block;
+  cursor: pointer;
+  box-sizing: border-box;
+  width: 100%;
+  height: 100%;
+}
+
+.jp-DocumentSearch-button-content svg {
+  width: 100%;
+  height: 100%;
+}
+
+.jp-DocumentSearch-input-wrapper {
+  border: var(--jp-border-width) solid var(--jp-border-color0);
+  display: flex;
+  background-color: var(--jp-layout-color0);
+  margin: 2px;
+}
+
+.jp-DocumentSearch-input-wrapper:focus-within {
+  border-color: var(--jp-cell-editor-active-border-color);
+}
+
+.jp-DocumentSearch-toggle-wrapper,
+.jp-DocumentSearch-button-wrapper {
+  all: initial;
+  overflow: hidden;
+  display: inline-block;
+  border: none;
+  box-sizing: border-box;
+}
+
+.jp-DocumentSearch-toggle-wrapper {
+  width: 14px;
+  height: 14px;
+}
+
+.jp-DocumentSearch-button-wrapper {
+  width: var(--jp-private-document-search-button-height);
+  height: var(--jp-private-document-search-button-height);
+}
+
+.jp-DocumentSearch-toggle-wrapper:focus,
+.jp-DocumentSearch-button-wrapper:focus {
+  outline: var(--jp-border-width) solid
+    var(--jp-cell-editor-active-border-color);
+  outline-offset: -1px;
+}
+
+.jp-DocumentSearch-toggle-wrapper,
+.jp-DocumentSearch-button-wrapper,
+.jp-DocumentSearch-button-content:focus {
+  outline: none;
+}
+
+.jp-DocumentSearch-toggle-placeholder {
+  width: 5px;
+}
+
+.jp-DocumentSearch-input-button::before {
+  display: block;
+  padding-top: 100%;
+}
+
+.jp-DocumentSearch-input-button-off {
+  opacity: var(--jp-search-toggle-off-opacity);
+}
+
+.jp-DocumentSearch-input-button-off:hover {
+  opacity: var(--jp-search-toggle-hover-opacity);
+}
+
+.jp-DocumentSearch-input-button-on {
+  opacity: var(--jp-search-toggle-on-opacity);
+}
+
+.jp-DocumentSearch-index-counter {
+  padding-left: 10px;
+  padding-right: 10px;
+  user-select: none;
+  min-width: 35px;
+  display: inline-block;
+}
+
+.jp-DocumentSearch-up-down-wrapper {
+  display: inline-block;
+  padding-right: 2px;
+  margin-left: auto;
+  white-space: nowrap;
+}
+
+.jp-DocumentSearch-spacer {
+  margin-left: auto;
+}
+
+.jp-DocumentSearch-up-down-wrapper button {
+  outline: 0;
+  border: none;
+  width: var(--jp-private-document-search-button-height);
+  height: var(--jp-private-document-search-button-height);
+  vertical-align: middle;
+  margin: 1px 5px 2px;
+}
+
+.jp-DocumentSearch-up-down-button:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-up-down-button:active {
+  background-color: var(--jp-layout-color3);
+}
+
+.jp-DocumentSearch-filter-button {
+  border-radius: var(--jp-border-radius);
+}
+
+.jp-DocumentSearch-filter-button:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-filter-button-enabled {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-filter-button-enabled:hover {
+  background-color: var(--jp-layout-color3);
+}
+
+.jp-DocumentSearch-search-options {
+  padding: 0 8px;
+  margin-left: 3px;
+  width: 100%;
+  display: grid;
+  justify-content: start;
+  grid-template-columns: 1fr 1fr;
+  align-items: center;
+  justify-items: stretch;
+}
+
+.jp-DocumentSearch-search-filter-disabled {
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-DocumentSearch-search-filter {
+  display: flex;
+  align-items: center;
+  user-select: none;
+}
+
+.jp-DocumentSearch-regex-error {
+  color: var(--jp-error-color0);
+}
+
+.jp-DocumentSearch-replace-button-wrapper {
+  overflow: hidden;
+  display: inline-block;
+  box-sizing: border-box;
+  border: var(--jp-border-width) solid var(--jp-border-color0);
+  margin: auto 2px;
+  padding: 1px 4px;
+  height: calc(var(--jp-private-document-search-button-height) + 2px);
+}
+
+.jp-DocumentSearch-replace-button-wrapper:focus {
+  border: var(--jp-border-width) solid var(--jp-cell-editor-active-border-color);
+}
+
+.jp-DocumentSearch-replace-button {
+  display: inline-block;
+  text-align: center;
+  cursor: pointer;
+  box-sizing: border-box;
+  color: var(--jp-ui-font-color1);
+
+  /* height - 2 * (padding of wrapper) */
+  line-height: calc(var(--jp-private-document-search-button-height) - 2px);
+  width: 100%;
+  height: 100%;
+}
+
+.jp-DocumentSearch-replace-button:focus {
+  outline: none;
+}
+
+.jp-DocumentSearch-replace-wrapper-class {
+  margin-left: 14px;
+  display: flex;
+}
+
+.jp-DocumentSearch-replace-toggle {
+  border: none;
+  background-color: var(--jp-toolbar-background);
+  border-radius: var(--jp-border-radius);
+}
+
+.jp-DocumentSearch-replace-toggle:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.cm-editor {
+  line-height: var(--jp-code-line-height);
+  font-size: var(--jp-code-font-size);
+  font-family: var(--jp-code-font-family);
+  border: 0;
+  border-radius: 0;
+  height: auto;
+
+  /* Changed to auto to autogrow */
+}
+
+.cm-editor pre {
+  padding: 0 var(--jp-code-padding);
+}
+
+.jp-CodeMirrorEditor[data-type='inline'] .cm-dialog {
+  background-color: var(--jp-layout-color0);
+  color: var(--jp-content-font-color1);
+}
+
+.jp-CodeMirrorEditor {
+  cursor: text;
+}
+
+/* When zoomed out 67% and 33% on a screen of 1440 width x 900 height */
+@media screen and (min-width: 2138px) and (max-width: 4319px) {
+  .jp-CodeMirrorEditor[data-type='inline'] .cm-cursor {
+    border-left: var(--jp-code-cursor-width1) solid
+      var(--jp-editor-cursor-color);
+  }
+}
+
+/* When zoomed out less than 33% */
+@media screen and (min-width: 4320px) {
+  .jp-CodeMirrorEditor[data-type='inline'] .cm-cursor {
+    border-left: var(--jp-code-cursor-width2) solid
+      var(--jp-editor-cursor-color);
+  }
+}
+
+.cm-editor.jp-mod-readOnly .cm-cursor {
+  display: none;
+}
+
+.jp-CollaboratorCursor {
+  border-left: 5px solid transparent;
+  border-right: 5px solid transparent;
+  border-top: none;
+  border-bottom: 3px solid;
+  background-clip: content-box;
+  margin-left: -5px;
+  margin-right: -5px;
+}
+
+.cm-searching,
+.cm-searching span {
+  /* `.cm-searching span`: we need to override syntax highlighting */
+  background-color: var(--jp-search-unselected-match-background-color);
+  color: var(--jp-search-unselected-match-color);
+}
+
+.cm-searching::selection,
+.cm-searching span::selection {
+  background-color: var(--jp-search-unselected-match-background-color);
+  color: var(--jp-search-unselected-match-color);
+}
+
+.jp-current-match > .cm-searching,
+.jp-current-match > .cm-searching span,
+.cm-searching > .jp-current-match,
+.cm-searching > .jp-current-match span {
+  background-color: var(--jp-search-selected-match-background-color);
+  color: var(--jp-search-selected-match-color);
+}
+
+.jp-current-match > .cm-searching::selection,
+.cm-searching > .jp-current-match::selection,
+.jp-current-match > .cm-searching span::selection {
+  background-color: var(--jp-search-selected-match-background-color);
+  color: var(--jp-search-selected-match-color);
+}
+
+.cm-trailingspace {
+  background-image: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAgAAAAFCAYAAAB4ka1VAAAAsElEQVQIHQGlAFr/AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA7+r3zKmT0/+pk9P/7+r3zAAAAAAAAAAABAAAAAAAAAAA6OPzM+/q9wAAAAAA6OPzMwAAAAAAAAAAAgAAAAAAAAAAGR8NiRQaCgAZIA0AGR8NiQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQyoYJ/SY80UAAAAASUVORK5CYII=);
+  background-position: center left;
+  background-repeat: repeat-x;
+}
+
+.jp-CollaboratorCursor-hover {
+  position: absolute;
+  z-index: 1;
+  transform: translateX(-50%);
+  color: white;
+  border-radius: 3px;
+  padding-left: 4px;
+  padding-right: 4px;
+  padding-top: 1px;
+  padding-bottom: 1px;
+  text-align: center;
+  font-size: var(--jp-ui-font-size1);
+  white-space: nowrap;
+}
+
+.jp-CodeMirror-ruler {
+  border-left: 1px dashed var(--jp-border-color2);
+}
+
+/* Styles for shared cursors (remote cursor locations and selected ranges) */
+.jp-CodeMirrorEditor .cm-ySelectionCaret {
+  position: relative;
+  border-left: 1px solid black;
+  margin-left: -1px;
+  margin-right: -1px;
+  box-sizing: border-box;
+}
+
+.jp-CodeMirrorEditor .cm-ySelectionCaret > .cm-ySelectionInfo {
+  white-space: nowrap;
+  position: absolute;
+  top: -1.15em;
+  padding-bottom: 0.05em;
+  left: -1px;
+  font-size: 0.95em;
+  font-family: var(--jp-ui-font-family);
+  font-weight: bold;
+  line-height: normal;
+  user-select: none;
+  color: white;
+  padding-left: 2px;
+  padding-right: 2px;
+  z-index: 101;
+  transition: opacity 0.3s ease-in-out;
+}
+
+.jp-CodeMirrorEditor .cm-ySelectionInfo {
+  transition-delay: 0.7s;
+  opacity: 0;
+}
+
+.jp-CodeMirrorEditor .cm-ySelectionCaret:hover > .cm-ySelectionInfo {
+  opacity: 1;
+  transition-delay: 0s;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-MimeDocument {
+  outline: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-filebrowser-button-height: 28px;
+  --jp-private-filebrowser-button-width: 48px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-FileBrowser .jp-SidePanel-content {
+  display: flex;
+  flex-direction: column;
+}
+
+.jp-FileBrowser-toolbar.jp-Toolbar {
+  flex-wrap: wrap;
+  row-gap: 12px;
+  border-bottom: none;
+  height: auto;
+  margin: 8px 12px 0;
+  box-shadow: none;
+  padding: 0;
+  justify-content: flex-start;
+}
+
+.jp-FileBrowser-Panel {
+  flex: 1 1 auto;
+  display: flex;
+  flex-direction: column;
+}
+
+.jp-BreadCrumbs {
+  flex: 0 0 auto;
+  margin: 8px 12px;
+}
+
+.jp-BreadCrumbs-item {
+  margin: 0 2px;
+  padding: 0 2px;
+  border-radius: var(--jp-border-radius);
+  cursor: pointer;
+}
+
+.jp-BreadCrumbs-item:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-BreadCrumbs-item:first-child {
+  margin-left: 0;
+}
+
+.jp-BreadCrumbs-item.jp-mod-dropTarget {
+  background-color: var(--jp-brand-color2);
+  opacity: 0.7;
+}
+
+/*-----------------------------------------------------------------------------
+| Buttons
+|----------------------------------------------------------------------------*/
+
+.jp-FileBrowser-toolbar > .jp-Toolbar-item {
+  flex: 0 0 auto;
+  padding-left: 0;
+  padding-right: 2px;
+  align-items: center;
+  height: unset;
+}
+
+.jp-FileBrowser-toolbar > .jp-Toolbar-item .jp-ToolbarButtonComponent {
+  width: 40px;
+}
+
+/*-----------------------------------------------------------------------------
+| Other styles
+|----------------------------------------------------------------------------*/
+
+.jp-FileDialog.jp-mod-conflict input {
+  color: var(--jp-error-color1);
+}
+
+.jp-FileDialog .jp-new-name-title {
+  margin-top: 12px;
+}
+
+.jp-LastModified-hidden {
+  display: none;
+}
+
+.jp-FileSize-hidden {
+  display: none;
+}
+
+.jp-FileBrowser .lm-AccordionPanel > h3:first-child {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| DirListing
+|----------------------------------------------------------------------------*/
+
+.jp-DirListing {
+  flex: 1 1 auto;
+  display: flex;
+  flex-direction: column;
+  outline: 0;
+}
+
+.jp-DirListing-header {
+  flex: 0 0 auto;
+  display: flex;
+  flex-direction: row;
+  align-items: center;
+  overflow: hidden;
+  border-top: var(--jp-border-width) solid var(--jp-border-color2);
+  border-bottom: var(--jp-border-width) solid var(--jp-border-color1);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  z-index: 2;
+}
+
+.jp-DirListing-headerItem {
+  padding: 4px 12px 2px;
+  font-weight: 500;
+}
+
+.jp-DirListing-headerItem:hover {
+  background: var(--jp-layout-color2);
+}
+
+.jp-DirListing-headerItem.jp-id-name {
+  flex: 1 0 84px;
+}
+
+.jp-DirListing-headerItem.jp-id-modified {
+  flex: 0 0 112px;
+  border-left: var(--jp-border-width) solid var(--jp-border-color2);
+  text-align: right;
+}
+
+.jp-DirListing-headerItem.jp-id-filesize {
+  flex: 0 0 75px;
+  border-left: var(--jp-border-width) solid var(--jp-border-color2);
+  text-align: right;
+}
+
+.jp-id-narrow {
+  display: none;
+  flex: 0 0 5px;
+  padding: 4px;
+  border-left: var(--jp-border-width) solid var(--jp-border-color2);
+  text-align: right;
+  color: var(--jp-border-color2);
+}
+
+.jp-DirListing-narrow .jp-id-narrow {
+  display: block;
+}
+
+.jp-DirListing-narrow .jp-id-modified,
+.jp-DirListing-narrow .jp-DirListing-itemModified {
+  display: none;
+}
+
+.jp-DirListing-headerItem.jp-mod-selected {
+  font-weight: 600;
+}
+
+/* increase specificity to override bundled default */
+.jp-DirListing-content {
+  flex: 1 1 auto;
+  margin: 0;
+  padding: 0;
+  list-style-type: none;
+  overflow: auto;
+  background-color: var(--jp-layout-color1);
+}
+
+.jp-DirListing-content mark {
+  color: var(--jp-ui-font-color0);
+  background-color: transparent;
+  font-weight: bold;
+}
+
+.jp-DirListing-content .jp-DirListing-item.jp-mod-selected mark {
+  color: var(--jp-ui-inverse-font-color0);
+}
+
+/* Style the directory listing content when a user drops a file to upload */
+.jp-DirListing.jp-mod-native-drop .jp-DirListing-content {
+  outline: 5px dashed rgba(128, 128, 128, 0.5);
+  outline-offset: -10px;
+  cursor: copy;
+}
+
+.jp-DirListing-item {
+  display: flex;
+  flex-direction: row;
+  align-items: center;
+  padding: 4px 12px;
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.jp-DirListing-checkboxWrapper {
+  /* Increases hit area of checkbox. */
+  padding: 4px;
+}
+
+.jp-DirListing-header
+  .jp-DirListing-checkboxWrapper
+  + .jp-DirListing-headerItem {
+  padding-left: 4px;
+}
+
+.jp-DirListing-content .jp-DirListing-checkboxWrapper {
+  position: relative;
+  left: -4px;
+  margin: -4px 0 -4px -8px;
+}
+
+.jp-DirListing-checkboxWrapper.jp-mod-visible {
+  visibility: visible;
+}
+
+/* For devices that support hovering, hide checkboxes until hovered, selected...
+*/
+@media (hover: hover) {
+  .jp-DirListing-checkboxWrapper {
+    visibility: hidden;
+  }
+
+  .jp-DirListing-item:hover .jp-DirListing-checkboxWrapper,
+  .jp-DirListing-item.jp-mod-selected .jp-DirListing-checkboxWrapper {
+    visibility: visible;
+  }
+}
+
+.jp-DirListing-item[data-is-dot] {
+  opacity: 75%;
+}
+
+.jp-DirListing-item.jp-mod-selected {
+  color: var(--jp-ui-inverse-font-color1);
+  background: var(--jp-brand-color1);
+}
+
+.jp-DirListing-item.jp-mod-dropTarget {
+  background: var(--jp-brand-color3);
+}
+
+.jp-DirListing-item:hover:not(.jp-mod-selected) {
+  background: var(--jp-layout-color2);
+}
+
+.jp-DirListing-itemIcon {
+  flex: 0 0 20px;
+  margin-right: 4px;
+}
+
+.jp-DirListing-itemText {
+  flex: 1 0 64px;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+  user-select: none;
+}
+
+.jp-DirListing-itemText:focus {
+  outline-width: 2px;
+  outline-color: var(--jp-inverse-layout-color1);
+  outline-style: solid;
+  outline-offset: 1px;
+}
+
+.jp-DirListing-item.jp-mod-selected .jp-DirListing-itemText:focus {
+  outline-color: var(--jp-layout-color1);
+}
+
+.jp-DirListing-itemModified {
+  flex: 0 0 125px;
+  text-align: right;
+}
+
+.jp-DirListing-itemFileSize {
+  flex: 0 0 90px;
+  text-align: right;
+}
+
+.jp-DirListing-editor {
+  flex: 1 0 64px;
+  outline: none;
+  border: none;
+  color: var(--jp-ui-font-color1);
+  background-color: var(--jp-layout-color1);
+}
+
+.jp-DirListing-item.jp-mod-running .jp-DirListing-itemIcon::before {
+  color: var(--jp-success-color1);
+  content: '\25CF';
+  font-size: 8px;
+  position: absolute;
+  left: -8px;
+}
+
+.jp-DirListing-item.jp-mod-running.jp-mod-selected
+  .jp-DirListing-itemIcon::before {
+  color: var(--jp-ui-inverse-font-color1);
+}
+
+.jp-DirListing-item.lm-mod-drag-image,
+.jp-DirListing-item.jp-mod-selected.lm-mod-drag-image {
+  font-size: var(--jp-ui-font-size1);
+  padding-left: 4px;
+  margin-left: 4px;
+  width: 160px;
+  background-color: var(--jp-ui-inverse-font-color2);
+  box-shadow: var(--jp-elevation-z2);
+  border-radius: 0;
+  color: var(--jp-ui-font-color1);
+  transform: translateX(-40%) translateY(-58%);
+}
+
+.jp-Document {
+  min-width: 120px;
+  min-height: 120px;
+  outline: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Main OutputArea
+| OutputArea has a list of Outputs
+|----------------------------------------------------------------------------*/
+
+.jp-OutputArea {
+  overflow-y: auto;
+}
+
+.jp-OutputArea-child {
+  display: table;
+  table-layout: fixed;
+  width: 100%;
+  overflow: hidden;
+}
+
+.jp-OutputPrompt {
+  width: var(--jp-cell-prompt-width);
+  color: var(--jp-cell-outprompt-font-color);
+  font-family: var(--jp-cell-prompt-font-family);
+  padding: var(--jp-code-padding);
+  letter-spacing: var(--jp-cell-prompt-letter-spacing);
+  line-height: var(--jp-code-line-height);
+  font-size: var(--jp-code-font-size);
+  border: var(--jp-border-width) solid transparent;
+  opacity: var(--jp-cell-prompt-opacity);
+
+  /* Right align prompt text, don't wrap to handle large prompt numbers */
+  text-align: right;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+
+  /* Disable text selection */
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.jp-OutputArea-prompt {
+  display: table-cell;
+  vertical-align: top;
+}
+
+.jp-OutputArea-output {
+  display: table-cell;
+  width: 100%;
+  height: auto;
+  overflow: auto;
+  user-select: text;
+  -moz-user-select: text;
+  -webkit-user-select: text;
+  -ms-user-select: text;
+}
+
+.jp-OutputArea .jp-RenderedText {
+  padding-left: 1ch;
+}
+
+/**
+ * Prompt overlay.
+ */
+
+.jp-OutputArea-promptOverlay {
+  position: absolute;
+  top: 0;
+  width: var(--jp-cell-prompt-width);
+  height: 100%;
+  opacity: 0.5;
+}
+
+.jp-OutputArea-promptOverlay:hover {
+  background: var(--jp-layout-color2);
+  box-shadow: inset 0 0 1px var(--jp-inverse-layout-color0);
+  cursor: zoom-out;
+}
+
+.jp-mod-outputsScrolled .jp-OutputArea-promptOverlay:hover {
+  cursor: zoom-in;
+}
+
+/**
+ * Isolated output.
+ */
+.jp-OutputArea-output.jp-mod-isolated {
+  width: 100%;
+  display: block;
+}
+
+/*
+When drag events occur, `lm-mod-override-cursor` is added to the body.
+Because iframes steal all cursor events, the following two rules are necessary
+to suppress pointer events while resize drags are occurring. There may be a
+better solution to this problem.
+*/
+body.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated {
+  position: relative;
+}
+
+body.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated::before {
+  content: '';
+  position: absolute;
+  top: 0;
+  left: 0;
+  right: 0;
+  bottom: 0;
+  background: transparent;
+}
+
+/* pre */
+
+.jp-OutputArea-output pre {
+  border: none;
+  margin: 0;
+  padding: 0;
+  overflow-x: auto;
+  overflow-y: auto;
+  word-break: break-all;
+  word-wrap: break-word;
+  white-space: pre-wrap;
+}
+
+/* tables */
+
+.jp-OutputArea-output.jp-RenderedHTMLCommon table {
+  margin-left: 0;
+  margin-right: 0;
+}
+
+/* description lists */
+
+.jp-OutputArea-output dl,
+.jp-OutputArea-output dt,
+.jp-OutputArea-output dd {
+  display: block;
+}
+
+.jp-OutputArea-output dl {
+  width: 100%;
+  overflow: hidden;
+  padding: 0;
+  margin: 0;
+}
+
+.jp-OutputArea-output dt {
+  font-weight: bold;
+  float: left;
+  width: 20%;
+  padding: 0;
+  margin: 0;
+}
+
+.jp-OutputArea-output dd {
+  float: left;
+  width: 80%;
+  padding: 0;
+  margin: 0;
+}
+
+.jp-TrimmedOutputs pre {
+  background: var(--jp-layout-color3);
+  font-size: calc(var(--jp-code-font-size) * 1.4);
+  text-align: center;
+  text-transform: uppercase;
+}
+
+/* Hide the gutter in case of
+ *  - nested output areas (e.g. in the case of output widgets)
+ *  - mirrored output areas
+ */
+.jp-OutputArea .jp-OutputArea .jp-OutputArea-prompt {
+  display: none;
+}
+
+/* Hide empty lines in the output area, for instance due to cleared widgets */
+.jp-OutputArea-prompt:empty {
+  padding: 0;
+  border: 0;
+}
+
+/*-----------------------------------------------------------------------------
+| executeResult is added to any Output-result for the display of the object
+| returned by a cell
+|----------------------------------------------------------------------------*/
+
+.jp-OutputArea-output.jp-OutputArea-executeResult {
+  margin-left: 0;
+  width: 100%;
+}
+
+/* Text output with the Out[] prompt needs a top padding to match the
+ * alignment of the Out[] prompt itself.
+ */
+.jp-OutputArea-executeResult .jp-RenderedText.jp-OutputArea-output {
+  padding-top: var(--jp-code-padding);
+  border-top: var(--jp-border-width) solid transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| The Stdin output
+|----------------------------------------------------------------------------*/
+
+.jp-Stdin-prompt {
+  color: var(--jp-content-font-color0);
+  padding-right: var(--jp-code-padding);
+  vertical-align: baseline;
+  flex: 0 0 auto;
+}
+
+.jp-Stdin-input {
+  font-family: var(--jp-code-font-family);
+  font-size: inherit;
+  color: inherit;
+  background-color: inherit;
+  width: 42%;
+  min-width: 200px;
+
+  /* make sure input baseline aligns with prompt */
+  vertical-align: baseline;
+
+  /* padding + margin = 0.5em between prompt and cursor */
+  padding: 0 0.25em;
+  margin: 0 0.25em;
+  flex: 0 0 70%;
+}
+
+.jp-Stdin-input::placeholder {
+  opacity: 0;
+}
+
+.jp-Stdin-input:focus {
+  box-shadow: none;
+}
+
+.jp-Stdin-input:focus::placeholder {
+  opacity: 1;
+}
+
+/*-----------------------------------------------------------------------------
+| Output Area View
+|----------------------------------------------------------------------------*/
+
+.jp-LinkedOutputView .jp-OutputArea {
+  height: 100%;
+  display: block;
+}
+
+.jp-LinkedOutputView .jp-OutputArea-output:only-child {
+  height: 100%;
+}
+
+/*-----------------------------------------------------------------------------
+| Printing
+|----------------------------------------------------------------------------*/
+
+@media print {
+  .jp-OutputArea-child {
+    break-inside: avoid-page;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Mobile
+|----------------------------------------------------------------------------*/
+@media only screen and (max-width: 760px) {
+  .jp-OutputPrompt {
+    display: table-row;
+    text-align: left;
+  }
+
+  .jp-OutputArea-child .jp-OutputArea-output {
+    display: table-row;
+    margin-left: var(--jp-notebook-padding);
+  }
+}
+
+/* Trimmed outputs warning */
+.jp-TrimmedOutputs > a {
+  margin: 10px;
+  text-decoration: none;
+  cursor: pointer;
+}
+
+.jp-TrimmedOutputs > a:hover {
+  text-decoration: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Table of Contents
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-toc-active-width: 4px;
+}
+
+.jp-TableOfContents {
+  display: flex;
+  flex-direction: column;
+  background: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  height: 100%;
+}
+
+.jp-TableOfContents-placeholder {
+  text-align: center;
+}
+
+.jp-TableOfContents-placeholderContent {
+  color: var(--jp-content-font-color2);
+  padding: 8px;
+}
+
+.jp-TableOfContents-placeholderContent > h3 {
+  margin-bottom: var(--jp-content-heading-margin-bottom);
+}
+
+.jp-TableOfContents .jp-SidePanel-content {
+  overflow-y: auto;
+}
+
+.jp-TableOfContents-tree {
+  margin: 4px;
+}
+
+.jp-TableOfContents ol {
+  list-style-type: none;
+}
+
+/* stylelint-disable-next-line selector-max-type */
+.jp-TableOfContents li > ol {
+  /* Align left border with triangle icon center */
+  padding-left: 11px;
+}
+
+.jp-TableOfContents-content {
+  /* left margin for the active heading indicator */
+  margin: 0 0 0 var(--jp-private-toc-active-width);
+  padding: 0;
+  background-color: var(--jp-layout-color1);
+}
+
+.jp-tocItem {
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.jp-tocItem-heading {
+  display: flex;
+  cursor: pointer;
+}
+
+.jp-tocItem-heading:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-tocItem-content {
+  display: block;
+  padding: 4px 0;
+  white-space: nowrap;
+  text-overflow: ellipsis;
+  overflow-x: hidden;
+}
+
+.jp-tocItem-collapser {
+  height: 20px;
+  margin: 2px 2px 0;
+  padding: 0;
+  background: none;
+  border: none;
+  cursor: pointer;
+}
+
+.jp-tocItem-collapser:hover {
+  background-color: var(--jp-layout-color3);
+}
+
+/* Active heading indicator */
+
+.jp-tocItem-heading::before {
+  content: ' ';
+  background: transparent;
+  width: var(--jp-private-toc-active-width);
+  height: 24px;
+  position: absolute;
+  left: 0;
+  border-radius: var(--jp-border-radius);
+}
+
+.jp-tocItem-heading.jp-tocItem-active::before {
+  background-color: var(--jp-brand-color1);
+}
+
+.jp-tocItem-heading:hover.jp-tocItem-active::before {
+  background: var(--jp-brand-color0);
+  opacity: 1;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Collapser {
+  flex: 0 0 var(--jp-cell-collapser-width);
+  padding: 0;
+  margin: 0;
+  border: none;
+  outline: none;
+  background: transparent;
+  border-radius: var(--jp-border-radius);
+  opacity: 1;
+}
+
+.jp-Collapser-child {
+  display: block;
+  width: 100%;
+  box-sizing: border-box;
+
+  /* height: 100% doesn't work because the height of its parent is computed from content */
+  position: absolute;
+  top: 0;
+  bottom: 0;
+}
+
+/*-----------------------------------------------------------------------------
+| Printing
+|----------------------------------------------------------------------------*/
+
+/*
+Hiding collapsers in print mode.
+
+Note: input and output wrappers have "display: block" propery in print mode.
+*/
+
+@media print {
+  .jp-Collapser {
+    display: none;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Header/Footer
+|----------------------------------------------------------------------------*/
+
+/* Hidden by zero height by default */
+.jp-CellHeader,
+.jp-CellFooter {
+  height: 0;
+  width: 100%;
+  padding: 0;
+  margin: 0;
+  border: none;
+  outline: none;
+  background: transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Input
+|----------------------------------------------------------------------------*/
+
+/* All input areas */
+.jp-InputArea {
+  display: table;
+  table-layout: fixed;
+  width: 100%;
+  overflow: hidden;
+}
+
+.jp-InputArea-editor {
+  display: table-cell;
+  overflow: hidden;
+  vertical-align: top;
+
+  /* This is the non-active, default styling */
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  border-radius: 0;
+  background: var(--jp-cell-editor-background);
+}
+
+.jp-InputPrompt {
+  display: table-cell;
+  vertical-align: top;
+  width: var(--jp-cell-prompt-width);
+  color: var(--jp-cell-inprompt-font-color);
+  font-family: var(--jp-cell-prompt-font-family);
+  padding: var(--jp-code-padding);
+  letter-spacing: var(--jp-cell-prompt-letter-spacing);
+  opacity: var(--jp-cell-prompt-opacity);
+  line-height: var(--jp-code-line-height);
+  font-size: var(--jp-code-font-size);
+  border: var(--jp-border-width) solid transparent;
+
+  /* Right align prompt text, don't wrap to handle large prompt numbers */
+  text-align: right;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+
+  /* Disable text selection */
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Mobile
+|----------------------------------------------------------------------------*/
+@media only screen and (max-width: 760px) {
+  .jp-InputArea-editor {
+    display: table-row;
+    margin-left: var(--jp-notebook-padding);
+  }
+
+  .jp-InputPrompt {
+    display: table-row;
+    text-align: left;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Placeholder
+|----------------------------------------------------------------------------*/
+
+.jp-Placeholder {
+  display: table;
+  table-layout: fixed;
+  width: 100%;
+}
+
+.jp-Placeholder-prompt {
+  display: table-cell;
+  box-sizing: border-box;
+}
+
+.jp-Placeholder-content {
+  display: table-cell;
+  padding: 4px 6px;
+  border: 1px solid transparent;
+  border-radius: 0;
+  background: none;
+  box-sizing: border-box;
+  cursor: pointer;
+}
+
+.jp-Placeholder-contentContainer {
+  display: flex;
+}
+
+.jp-Placeholder-content:hover,
+.jp-InputPlaceholder > .jp-Placeholder-content:hover {
+  border-color: var(--jp-layout-color3);
+}
+
+.jp-Placeholder-content .jp-MoreHorizIcon {
+  width: 32px;
+  height: 16px;
+  border: 1px solid transparent;
+  border-radius: var(--jp-border-radius);
+}
+
+.jp-Placeholder-content .jp-MoreHorizIcon:hover {
+  border: 1px solid var(--jp-border-color1);
+  box-shadow: 0 0 2px 0 rgba(0, 0, 0, 0.25);
+  background-color: var(--jp-layout-color0);
+}
+
+.jp-PlaceholderText {
+  white-space: nowrap;
+  overflow-x: hidden;
+  color: var(--jp-inverse-layout-color3);
+  font-family: var(--jp-code-font-family);
+}
+
+.jp-InputPlaceholder > .jp-Placeholder-content {
+  border-color: var(--jp-cell-editor-border-color);
+  background: var(--jp-cell-editor-background);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Private CSS variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-cell-scrolling-output-offset: 5px;
+}
+
+/*-----------------------------------------------------------------------------
+| Cell
+|----------------------------------------------------------------------------*/
+
+.jp-Cell {
+  padding: var(--jp-cell-padding);
+  margin: 0;
+  border: none;
+  outline: none;
+  background: transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| Common input/output
+|----------------------------------------------------------------------------*/
+
+.jp-Cell-inputWrapper,
+.jp-Cell-outputWrapper {
+  display: flex;
+  flex-direction: row;
+  padding: 0;
+  margin: 0;
+
+  /* Added to reveal the box-shadow on the input and output collapsers. */
+  overflow: visible;
+}
+
+/* Only input/output areas inside cells */
+.jp-Cell-inputArea,
+.jp-Cell-outputArea {
+  flex: 1 1 auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Collapser
+|----------------------------------------------------------------------------*/
+
+/* Make the output collapser disappear when there is not output, but do so
+ * in a manner that leaves it in the layout and preserves its width.
+ */
+.jp-Cell.jp-mod-noOutputs .jp-Cell-outputCollapser {
+  border: none !important;
+  background: transparent !important;
+}
+
+.jp-Cell:not(.jp-mod-noOutputs) .jp-Cell-outputCollapser {
+  min-height: var(--jp-cell-collapser-min-height);
+}
+
+/*-----------------------------------------------------------------------------
+| Output
+|----------------------------------------------------------------------------*/
+
+/* Put a space between input and output when there IS output */
+.jp-Cell:not(.jp-mod-noOutputs) .jp-Cell-outputWrapper {
+  margin-top: 5px;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea {
+  overflow-y: auto;
+  max-height: 24em;
+  margin-left: var(--jp-private-cell-scrolling-output-offset);
+  resize: vertical;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea[style*='height'] {
+  max-height: unset;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea::after {
+  content: ' ';
+  box-shadow: inset 0 0 6px 2px rgb(0 0 0 / 30%);
+  width: 100%;
+  height: 100%;
+  position: sticky;
+  bottom: 0;
+  top: 0;
+  margin-top: -50%;
+  float: left;
+  display: block;
+  pointer-events: none;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-child {
+  padding-top: 6px;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-prompt {
+  width: calc(
+    var(--jp-cell-prompt-width) - var(--jp-private-cell-scrolling-output-offset)
+  );
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-promptOverlay {
+  left: calc(-1 * var(--jp-private-cell-scrolling-output-offset));
+}
+
+/*-----------------------------------------------------------------------------
+| CodeCell
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| MarkdownCell
+|----------------------------------------------------------------------------*/
+
+.jp-MarkdownOutput {
+  display: table-cell;
+  width: 100%;
+  margin-top: 0;
+  margin-bottom: 0;
+  padding-left: var(--jp-code-padding);
+}
+
+.jp-MarkdownOutput.jp-RenderedHTMLCommon {
+  overflow: auto;
+}
+
+/* collapseHeadingButton (show always if hiddenCellsButton is _not_ shown) */
+.jp-collapseHeadingButton {
+  display: flex;
+  min-height: var(--jp-cell-collapser-min-height);
+  font-size: var(--jp-code-font-size);
+  position: absolute;
+  background-color: transparent;
+  background-size: 25px;
+  background-repeat: no-repeat;
+  background-position-x: center;
+  background-position-y: top;
+  background-image: var(--jp-icon-caret-down);
+  right: 0;
+  top: 0;
+  bottom: 0;
+}
+
+.jp-collapseHeadingButton.jp-mod-collapsed {
+  background-image: var(--jp-icon-caret-right);
+}
+
+/*
+ set the container font size to match that of content
+ so that the nested collapse buttons have the right size
+*/
+.jp-MarkdownCell .jp-InputPrompt {
+  font-size: var(--jp-content-font-size1);
+}
+
+/*
+  Align collapseHeadingButton with cell top header
+  The font sizes are identical to the ones in packages/rendermime/style/base.css
+*/
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='1'] {
+  font-size: var(--jp-content-font-size5);
+  background-position-y: calc(0.3 * var(--jp-content-font-size5));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='2'] {
+  font-size: var(--jp-content-font-size4);
+  background-position-y: calc(0.3 * var(--jp-content-font-size4));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='3'] {
+  font-size: var(--jp-content-font-size3);
+  background-position-y: calc(0.3 * var(--jp-content-font-size3));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='4'] {
+  font-size: var(--jp-content-font-size2);
+  background-position-y: calc(0.3 * var(--jp-content-font-size2));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='5'] {
+  font-size: var(--jp-content-font-size1);
+  background-position-y: top;
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='6'] {
+  font-size: var(--jp-content-font-size0);
+  background-position-y: top;
+}
+
+/* collapseHeadingButton (show only on (hover,active) if hiddenCellsButton is shown) */
+.jp-Notebook.jp-mod-showHiddenCellsButton .jp-collapseHeadingButton {
+  display: none;
+}
+
+.jp-Notebook.jp-mod-showHiddenCellsButton
+  :is(.jp-MarkdownCell:hover, .jp-mod-active)
+  .jp-collapseHeadingButton {
+  display: flex;
+}
+
+/* showHiddenCellsButton (only show if jp-mod-showHiddenCellsButton is set, which
+is a consequence of the showHiddenCellsButton option in Notebook Settings)*/
+.jp-Notebook.jp-mod-showHiddenCellsButton .jp-showHiddenCellsButton {
+  margin-left: calc(var(--jp-cell-prompt-width) + 2 * var(--jp-code-padding));
+  margin-top: var(--jp-code-padding);
+  border: 1px solid var(--jp-border-color2);
+  background-color: var(--jp-border-color3) !important;
+  color: var(--jp-content-font-color0) !important;
+  display: flex;
+}
+
+.jp-Notebook.jp-mod-showHiddenCellsButton .jp-showHiddenCellsButton:hover {
+  background-color: var(--jp-border-color2) !important;
+}
+
+.jp-showHiddenCellsButton {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Printing
+|----------------------------------------------------------------------------*/
+
+/*
+Using block instead of flex to allow the use of the break-inside CSS property for
+cell outputs.
+*/
+
+@media print {
+  .jp-Cell-inputWrapper,
+  .jp-Cell-outputWrapper {
+    display: block;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-notebook-toolbar-padding: 2px 5px 2px 2px;
+}
+
+/*-----------------------------------------------------------------------------
+
+/*-----------------------------------------------------------------------------
+| Styles
+|----------------------------------------------------------------------------*/
+
+.jp-NotebookPanel-toolbar {
+  padding: var(--jp-notebook-toolbar-padding);
+
+  /* disable paint containment from lumino 2.0 default strict CSS containment */
+  contain: style size !important;
+}
+
+.jp-Toolbar-item.jp-Notebook-toolbarCellType .jp-select-wrapper.jp-mod-focused {
+  border: none;
+  box-shadow: none;
+}
+
+.jp-Notebook-toolbarCellTypeDropdown select {
+  height: 24px;
+  font-size: var(--jp-ui-font-size1);
+  line-height: 14px;
+  border-radius: 0;
+  display: block;
+}
+
+.jp-Notebook-toolbarCellTypeDropdown span {
+  top: 5px !important;
+}
+
+.jp-Toolbar-responsive-popup {
+  position: absolute;
+  height: fit-content;
+  display: flex;
+  flex-direction: row;
+  flex-wrap: wrap;
+  justify-content: flex-end;
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  background: var(--jp-toolbar-background);
+  min-height: var(--jp-toolbar-micro-height);
+  padding: var(--jp-notebook-toolbar-padding);
+  z-index: 1;
+  right: 0;
+  top: 0;
+}
+
+.jp-Toolbar > .jp-Toolbar-responsive-opener {
+  margin-left: auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+
+/*-----------------------------------------------------------------------------
+| Styles
+|----------------------------------------------------------------------------*/
+
+.jp-Notebook-ExecutionIndicator {
+  position: relative;
+  display: inline-block;
+  height: 100%;
+  z-index: 9997;
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip {
+  visibility: hidden;
+  height: auto;
+  width: max-content;
+  width: -moz-max-content;
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color1);
+  text-align: justify;
+  border-radius: 6px;
+  padding: 0 5px;
+  position: fixed;
+  display: table;
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip.up {
+  transform: translateX(-50%) translateY(-100%) translateY(-32px);
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip.down {
+  transform: translateX(calc(-100% + 16px)) translateY(5px);
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip.hidden {
+  display: none;
+}
+
+.jp-Notebook-ExecutionIndicator:hover .jp-Notebook-ExecutionIndicator-tooltip {
+  visibility: visible;
+}
+
+.jp-Notebook-ExecutionIndicator span {
+  font-size: var(--jp-ui-font-size1);
+  font-family: var(--jp-ui-font-family);
+  color: var(--jp-ui-font-color1);
+  line-height: 24px;
+  display: block;
+}
+
+.jp-Notebook-ExecutionIndicator-progress-bar {
+  display: flex;
+  justify-content: center;
+  height: 100%;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*
+ * Execution indicator
+ */
+.jp-tocItem-content::after {
+  content: '';
+
+  /* Must be identical to form a circle */
+  width: 12px;
+  height: 12px;
+  background: none;
+  border: none;
+  position: absolute;
+  right: 0;
+}
+
+.jp-tocItem-content[data-running='0']::after {
+  border-radius: 50%;
+  border: var(--jp-border-width) solid var(--jp-inverse-layout-color3);
+  background: none;
+}
+
+.jp-tocItem-content[data-running='1']::after {
+  border-radius: 50%;
+  border: var(--jp-border-width) solid var(--jp-inverse-layout-color3);
+  background-color: var(--jp-inverse-layout-color3);
+}
+
+.jp-tocItem-content[data-running='0'],
+.jp-tocItem-content[data-running='1'] {
+  margin-right: 12px;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-Notebook-footer {
+  height: 27px;
+  margin-left: calc(
+    var(--jp-cell-prompt-width) + var(--jp-cell-collapser-width) +
+      var(--jp-cell-padding)
+  );
+  width: calc(
+    100% -
+      (
+        var(--jp-cell-prompt-width) + var(--jp-cell-collapser-width) +
+          var(--jp-cell-padding) + var(--jp-cell-padding)
+      )
+  );
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  color: var(--jp-ui-font-color3);
+  margin-top: 6px;
+  background: none;
+  cursor: pointer;
+}
+
+.jp-Notebook-footer:focus {
+  border-color: var(--jp-cell-editor-active-border-color);
+}
+
+/* For devices that support hovering, hide footer until hover */
+@media (hover: hover) {
+  .jp-Notebook-footer {
+    opacity: 0;
+  }
+
+  .jp-Notebook-footer:focus,
+  .jp-Notebook-footer:hover {
+    opacity: 1;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Imports
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| CSS variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-side-by-side-output-size: 1fr;
+  --jp-side-by-side-resized-cell: var(--jp-side-by-side-output-size);
+  --jp-private-notebook-dragImage-width: 304px;
+  --jp-private-notebook-dragImage-height: 36px;
+  --jp-private-notebook-selected-color: var(--md-blue-400);
+  --jp-private-notebook-active-color: var(--md-green-400);
+}
+
+/*-----------------------------------------------------------------------------
+| Notebook
+|----------------------------------------------------------------------------*/
+
+/* stylelint-disable selector-max-class */
+
+.jp-NotebookPanel {
+  display: block;
+  height: 100%;
+}
+
+.jp-NotebookPanel.jp-Document {
+  min-width: 240px;
+  min-height: 120px;
+}
+
+.jp-Notebook {
+  padding: var(--jp-notebook-padding);
+  outline: none;
+  overflow: auto;
+  background: var(--jp-layout-color0);
+}
+
+.jp-Notebook.jp-mod-scrollPastEnd::after {
+  display: block;
+  content: '';
+  min-height: var(--jp-notebook-scroll-padding);
+}
+
+.jp-MainAreaWidget-ContainStrict .jp-Notebook * {
+  contain: strict;
+}
+
+.jp-Notebook .jp-Cell {
+  overflow: visible;
+}
+
+.jp-Notebook .jp-Cell .jp-InputPrompt {
+  cursor: move;
+}
+
+/*-----------------------------------------------------------------------------
+| Notebook state related styling
+|
+| The notebook and cells each have states, here are the possibilities:
+|
+| - Notebook
+|   - Command
+|   - Edit
+| - Cell
+|   - None
+|   - Active (only one can be active)
+|   - Selected (the cells actions are applied to)
+|   - Multiselected (when multiple selected, the cursor)
+|   - No outputs
+|----------------------------------------------------------------------------*/
+
+/* Command or edit modes */
+
+.jp-Notebook .jp-Cell:not(.jp-mod-active) .jp-InputPrompt {
+  opacity: var(--jp-cell-prompt-not-active-opacity);
+  color: var(--jp-cell-prompt-not-active-font-color);
+}
+
+.jp-Notebook .jp-Cell:not(.jp-mod-active) .jp-OutputPrompt {
+  opacity: var(--jp-cell-prompt-not-active-opacity);
+  color: var(--jp-cell-prompt-not-active-font-color);
+}
+
+/* cell is active */
+.jp-Notebook .jp-Cell.jp-mod-active .jp-Collapser {
+  background: var(--jp-brand-color1);
+}
+
+/* cell is dirty */
+.jp-Notebook .jp-Cell.jp-mod-dirty .jp-InputPrompt {
+  color: var(--jp-warn-color1);
+}
+
+.jp-Notebook .jp-Cell.jp-mod-dirty .jp-InputPrompt::before {
+  color: var(--jp-warn-color1);
+  content: '•';
+}
+
+.jp-Notebook .jp-Cell.jp-mod-active.jp-mod-dirty .jp-Collapser {
+  background: var(--jp-warn-color1);
+}
+
+/* collapser is hovered */
+.jp-Notebook .jp-Cell .jp-Collapser:hover {
+  box-shadow: var(--jp-elevation-z2);
+  background: var(--jp-brand-color1);
+  opacity: var(--jp-cell-collapser-not-active-hover-opacity);
+}
+
+/* cell is active and collapser is hovered */
+.jp-Notebook .jp-Cell.jp-mod-active .jp-Collapser:hover {
+  background: var(--jp-brand-color0);
+  opacity: 1;
+}
+
+/* Command mode */
+
+.jp-Notebook.jp-mod-commandMode .jp-Cell.jp-mod-selected {
+  background: var(--jp-notebook-multiselected-color);
+}
+
+.jp-Notebook.jp-mod-commandMode
+  .jp-Cell.jp-mod-active.jp-mod-selected:not(.jp-mod-multiSelected) {
+  background: transparent;
+}
+
+/* Edit mode */
+
+.jp-Notebook.jp-mod-editMode .jp-Cell.jp-mod-active .jp-InputArea-editor {
+  border: var(--jp-border-width) solid var(--jp-cell-editor-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+  background-color: var(--jp-cell-editor-active-background);
+}
+
+/*-----------------------------------------------------------------------------
+| Notebook drag and drop
+|----------------------------------------------------------------------------*/
+
+.jp-Notebook-cell.jp-mod-dropSource {
+  opacity: 0.5;
+}
+
+.jp-Notebook-cell.jp-mod-dropTarget,
+.jp-Notebook.jp-mod-commandMode
+  .jp-Notebook-cell.jp-mod-active.jp-mod-selected.jp-mod-dropTarget {
+  border-top-color: var(--jp-private-notebook-selected-color);
+  border-top-style: solid;
+  border-top-width: 2px;
+}
+
+.jp-dragImage {
+  display: block;
+  flex-direction: row;
+  width: var(--jp-private-notebook-dragImage-width);
+  height: var(--jp-private-notebook-dragImage-height);
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  background: var(--jp-cell-editor-background);
+  overflow: visible;
+}
+
+.jp-dragImage-singlePrompt {
+  box-shadow: 2px 2px 4px 0 rgba(0, 0, 0, 0.12);
+}
+
+.jp-dragImage .jp-dragImage-content {
+  flex: 1 1 auto;
+  z-index: 2;
+  font-size: var(--jp-code-font-size);
+  font-family: var(--jp-code-font-family);
+  line-height: var(--jp-code-line-height);
+  padding: var(--jp-code-padding);
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  background: var(--jp-cell-editor-background-color);
+  color: var(--jp-content-font-color3);
+  text-align: left;
+  margin: 4px 4px 4px 0;
+}
+
+.jp-dragImage .jp-dragImage-prompt {
+  flex: 0 0 auto;
+  min-width: 36px;
+  color: var(--jp-cell-inprompt-font-color);
+  padding: var(--jp-code-padding);
+  padding-left: 12px;
+  font-family: var(--jp-cell-prompt-font-family);
+  letter-spacing: var(--jp-cell-prompt-letter-spacing);
+  line-height: 1.9;
+  font-size: var(--jp-code-font-size);
+  border: var(--jp-border-width) solid transparent;
+}
+
+.jp-dragImage-multipleBack {
+  z-index: -1;
+  position: absolute;
+  height: 32px;
+  width: 300px;
+  top: 8px;
+  left: 8px;
+  background: var(--jp-layout-color2);
+  border: var(--jp-border-width) solid var(--jp-input-border-color);
+  box-shadow: 2px 2px 4px 0 rgba(0, 0, 0, 0.12);
+}
+
+/*-----------------------------------------------------------------------------
+| Cell toolbar
+|----------------------------------------------------------------------------*/
+
+.jp-NotebookTools {
+  display: block;
+  min-width: var(--jp-sidebar-min-width);
+  color: var(--jp-ui-font-color1);
+  background: var(--jp-layout-color1);
+
+  /* This is needed so that all font sizing of children done in ems is
+    * relative to this base size */
+  font-size: var(--jp-ui-font-size1);
+  overflow: auto;
+}
+
+.jp-ActiveCellTool {
+  padding: 12px 0;
+  display: flex;
+}
+
+.jp-ActiveCellTool-Content {
+  flex: 1 1 auto;
+}
+
+.jp-ActiveCellTool .jp-ActiveCellTool-CellContent {
+  background: var(--jp-cell-editor-background);
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  border-radius: 0;
+  min-height: 29px;
+}
+
+.jp-ActiveCellTool .jp-InputPrompt {
+  min-width: calc(var(--jp-cell-prompt-width) * 0.75);
+}
+
+.jp-ActiveCellTool-CellContent > pre {
+  padding: 5px 4px;
+  margin: 0;
+  white-space: normal;
+}
+
+.jp-MetadataEditorTool {
+  flex-direction: column;
+  padding: 12px 0;
+}
+
+.jp-RankedPanel > :not(:first-child) {
+  margin-top: 12px;
+}
+
+.jp-KeySelector select.jp-mod-styled {
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color0);
+  border: var(--jp-border-width) solid var(--jp-border-color1);
+}
+
+.jp-KeySelector label,
+.jp-MetadataEditorTool label,
+.jp-NumberSetter label {
+  line-height: 1.4;
+}
+
+.jp-NotebookTools .jp-select-wrapper {
+  margin-top: 4px;
+  margin-bottom: 0;
+}
+
+.jp-NumberSetter input {
+  width: 100%;
+  margin-top: 4px;
+}
+
+.jp-NotebookTools .jp-Collapse {
+  margin-top: 16px;
+}
+
+/*-----------------------------------------------------------------------------
+| Presentation Mode (.jp-mod-presentationMode)
+|----------------------------------------------------------------------------*/
+
+.jp-mod-presentationMode .jp-Notebook {
+  --jp-content-font-size1: var(--jp-content-presentation-font-size1);
+  --jp-code-font-size: var(--jp-code-presentation-font-size);
+}
+
+.jp-mod-presentationMode .jp-Notebook .jp-Cell .jp-InputPrompt,
+.jp-mod-presentationMode .jp-Notebook .jp-Cell .jp-OutputPrompt {
+  flex: 0 0 110px;
+}
+
+/*-----------------------------------------------------------------------------
+| Side-by-side Mode (.jp-mod-sideBySide)
+|----------------------------------------------------------------------------*/
+.jp-mod-sideBySide.jp-Notebook .jp-Notebook-cell {
+  margin-top: 3em;
+  margin-bottom: 3em;
+  margin-left: 5%;
+  margin-right: 5%;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell {
+  display: grid;
+  grid-template-columns: minmax(0, 1fr) min-content minmax(
+      0,
+      var(--jp-side-by-side-output-size)
+    );
+  grid-template-rows: auto minmax(0, 1fr) auto;
+  grid-template-areas:
+    'header header header'
+    'input handle output'
+    'footer footer footer';
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell.jp-mod-resizedCell {
+  grid-template-columns: minmax(0, 1fr) min-content minmax(
+      0,
+      var(--jp-side-by-side-resized-cell)
+    );
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellHeader {
+  grid-area: header;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-Cell-inputWrapper {
+  grid-area: input;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-Cell-outputWrapper {
+  /* overwrite the default margin (no vertical separation needed in side by side move */
+  margin-top: 0;
+  grid-area: output;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellFooter {
+  grid-area: footer;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellResizeHandle {
+  grid-area: handle;
+  user-select: none;
+  display: block;
+  height: 100%;
+  cursor: ew-resize;
+  padding: 0 var(--jp-cell-padding);
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellResizeHandle::after {
+  content: '';
+  display: block;
+  background: var(--jp-border-color2);
+  height: 100%;
+  width: 5px;
+}
+
+.jp-mod-sideBySide.jp-Notebook
+  .jp-CodeCell.jp-mod-resizedCell
+  .jp-CellResizeHandle::after {
+  background: var(--jp-border-color0);
+}
+
+.jp-CellResizeHandle {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Placeholder
+|----------------------------------------------------------------------------*/
+
+.jp-Cell-Placeholder {
+  padding-left: 55px;
+}
+
+.jp-Cell-Placeholder-wrapper {
+  background: #fff;
+  border: 1px solid;
+  border-color: #e5e6e9 #dfe0e4 #d0d1d5;
+  border-radius: 4px;
+  -webkit-border-radius: 4px;
+  margin: 10px 15px;
+}
+
+.jp-Cell-Placeholder-wrapper-inner {
+  padding: 15px;
+  position: relative;
+}
+
+.jp-Cell-Placeholder-wrapper-body {
+  background-repeat: repeat;
+  background-size: 50% auto;
+}
+
+.jp-Cell-Placeholder-wrapper-body div {
+  background: #f6f7f8;
+  background-image: -webkit-linear-gradient(
+    left,
+    #f6f7f8 0%,
+    #edeef1 20%,
+    #f6f7f8 40%,
+    #f6f7f8 100%
+  );
+  background-repeat: no-repeat;
+  background-size: 800px 104px;
+  height: 104px;
+  position: absolute;
+  right: 15px;
+  left: 15px;
+  top: 15px;
+}
+
+div.jp-Cell-Placeholder-h1 {
+  top: 20px;
+  height: 20px;
+  left: 15px;
+  width: 150px;
+}
+
+div.jp-Cell-Placeholder-h2 {
+  left: 15px;
+  top: 50px;
+  height: 10px;
+  width: 100px;
+}
+
+div.jp-Cell-Placeholder-content-1,
+div.jp-Cell-Placeholder-content-2,
+div.jp-Cell-Placeholder-content-3 {
+  left: 15px;
+  right: 15px;
+  height: 10px;
+}
+
+div.jp-Cell-Placeholder-content-1 {
+  top: 100px;
+}
+
+div.jp-Cell-Placeholder-content-2 {
+  top: 120px;
+}
+
+div.jp-Cell-Placeholder-content-3 {
+  top: 140px;
+}
+
+</style>
+<style type="text/css">
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*
+The following CSS variables define the main, public API for styling JupyterLab.
+These variables should be used by all plugins wherever possible. In other
+words, plugins should not define custom colors, sizes, etc unless absolutely
+necessary. This enables users to change the visual theme of JupyterLab
+by changing these variables.
+
+Many variables appear in an ordered sequence (0,1,2,3). These sequences
+are designed to work well together, so for example, `--jp-border-color1` should
+be used with `--jp-layout-color1`. The numbers have the following meanings:
+
+* 0: super-primary, reserved for special emphasis
+* 1: primary, most important under normal situations
+* 2: secondary, next most important under normal situations
+* 3: tertiary, next most important under normal situations
+
+Throughout JupyterLab, we are mostly following principles from Google's
+Material Design when selecting colors. We are not, however, following
+all of MD as it is not optimized for dense, information rich UIs.
+*/
+
+:root {
+  /* Elevation
+   *
+   * We style box-shadows using Material Design's idea of elevation. These particular numbers are taken from here:
+   *
+   * https://github.com/material-components/material-components-web
+   * https://material-components-web.appspot.com/elevation.html
+   */
+
+  --jp-shadow-base-lightness: 0;
+  --jp-shadow-umbra-color: rgba(
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    0.2
+  );
+  --jp-shadow-penumbra-color: rgba(
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    0.14
+  );
+  --jp-shadow-ambient-color: rgba(
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    0.12
+  );
+  --jp-elevation-z0: none;
+  --jp-elevation-z1: 0 2px 1px -1px var(--jp-shadow-umbra-color),
+    0 1px 1px 0 var(--jp-shadow-penumbra-color),
+    0 1px 3px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z2: 0 3px 1px -2px var(--jp-shadow-umbra-color),
+    0 2px 2px 0 var(--jp-shadow-penumbra-color),
+    0 1px 5px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z4: 0 2px 4px -1px var(--jp-shadow-umbra-color),
+    0 4px 5px 0 var(--jp-shadow-penumbra-color),
+    0 1px 10px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z6: 0 3px 5px -1px var(--jp-shadow-umbra-color),
+    0 6px 10px 0 var(--jp-shadow-penumbra-color),
+    0 1px 18px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z8: 0 5px 5px -3px var(--jp-shadow-umbra-color),
+    0 8px 10px 1px var(--jp-shadow-penumbra-color),
+    0 3px 14px 2px var(--jp-shadow-ambient-color);
+  --jp-elevation-z12: 0 7px 8px -4px var(--jp-shadow-umbra-color),
+    0 12px 17px 2px var(--jp-shadow-penumbra-color),
+    0 5px 22px 4px var(--jp-shadow-ambient-color);
+  --jp-elevation-z16: 0 8px 10px -5px var(--jp-shadow-umbra-color),
+    0 16px 24px 2px var(--jp-shadow-penumbra-color),
+    0 6px 30px 5px var(--jp-shadow-ambient-color);
+  --jp-elevation-z20: 0 10px 13px -6px var(--jp-shadow-umbra-color),
+    0 20px 31px 3px var(--jp-shadow-penumbra-color),
+    0 8px 38px 7px var(--jp-shadow-ambient-color);
+  --jp-elevation-z24: 0 11px 15px -7px var(--jp-shadow-umbra-color),
+    0 24px 38px 3px var(--jp-shadow-penumbra-color),
+    0 9px 46px 8px var(--jp-shadow-ambient-color);
+
+  /* Borders
+   *
+   * The following variables, specify the visual styling of borders in JupyterLab.
+   */
+
+  --jp-border-width: 1px;
+  --jp-border-color0: var(--md-grey-400);
+  --jp-border-color1: var(--md-grey-400);
+  --jp-border-color2: var(--md-grey-300);
+  --jp-border-color3: var(--md-grey-200);
+  --jp-inverse-border-color: var(--md-grey-600);
+  --jp-border-radius: 2px;
+
+  /* UI Fonts
+   *
+   * The UI font CSS variables are used for the typography all of the JupyterLab
+   * user interface elements that are not directly user generated content.
+   *
+   * The font sizing here is done assuming that the body font size of --jp-ui-font-size1
+   * is applied to a parent element. When children elements, such as headings, are sized
+   * in em all things will be computed relative to that body size.
+   */
+
+  --jp-ui-font-scale-factor: 1.2;
+  --jp-ui-font-size0: 0.83333em;
+  --jp-ui-font-size1: 13px; /* Base font size */
+  --jp-ui-font-size2: 1.2em;
+  --jp-ui-font-size3: 1.44em;
+  --jp-ui-font-family: system-ui, -apple-system, blinkmacsystemfont, 'Segoe UI',
+    helvetica, arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji',
+    'Segoe UI Symbol';
+
+  /*
+   * Use these font colors against the corresponding main layout colors.
+   * In a light theme, these go from dark to light.
+   */
+
+  /* Defaults use Material Design specification */
+  --jp-ui-font-color0: rgba(0, 0, 0, 1);
+  --jp-ui-font-color1: rgba(0, 0, 0, 0.87);
+  --jp-ui-font-color2: rgba(0, 0, 0, 0.54);
+  --jp-ui-font-color3: rgba(0, 0, 0, 0.38);
+
+  /*
+   * Use these against the brand/accent/warn/error colors.
+   * These will typically go from light to darker, in both a dark and light theme.
+   */
+
+  --jp-ui-inverse-font-color0: rgba(255, 255, 255, 1);
+  --jp-ui-inverse-font-color1: rgba(255, 255, 255, 1);
+  --jp-ui-inverse-font-color2: rgba(255, 255, 255, 0.7);
+  --jp-ui-inverse-font-color3: rgba(255, 255, 255, 0.5);
+
+  /* Content Fonts
+   *
+   * Content font variables are used for typography of user generated content.
+   *
+   * The font sizing here is done assuming that the body font size of --jp-content-font-size1
+   * is applied to a parent element. When children elements, such as headings, are sized
+   * in em all things will be computed relative to that body size.
+   */
+
+  --jp-content-line-height: 1.6;
+  --jp-content-font-scale-factor: 1.2;
+  --jp-content-font-size0: 0.83333em;
+  --jp-content-font-size1: 14px; /* Base font size */
+  --jp-content-font-size2: 1.2em;
+  --jp-content-font-size3: 1.44em;
+  --jp-content-font-size4: 1.728em;
+  --jp-content-font-size5: 2.0736em;
+
+  /* This gives a magnification of about 125% in presentation mode over normal. */
+  --jp-content-presentation-font-size1: 17px;
+  --jp-content-heading-line-height: 1;
+  --jp-content-heading-margin-top: 1.2em;
+  --jp-content-heading-margin-bottom: 0.8em;
+  --jp-content-heading-font-weight: 500;
+
+  /* Defaults use Material Design specification */
+  --jp-content-font-color0: rgba(0, 0, 0, 1);
+  --jp-content-font-color1: rgba(0, 0, 0, 0.87);
+  --jp-content-font-color2: rgba(0, 0, 0, 0.54);
+  --jp-content-font-color3: rgba(0, 0, 0, 0.38);
+  --jp-content-link-color: var(--md-blue-900);
+  --jp-content-font-family: system-ui, -apple-system, blinkmacsystemfont,
+    'Segoe UI', helvetica, arial, sans-serif, 'Apple Color Emoji',
+    'Segoe UI Emoji', 'Segoe UI Symbol';
+
+  /*
+   * Code Fonts
+   *
+   * Code font variables are used for typography of code and other monospaces content.
+   */
+
+  --jp-code-font-size: 13px;
+  --jp-code-line-height: 1.3077; /* 17px for 13px base */
+  --jp-code-padding: 5px; /* 5px for 13px base, codemirror highlighting needs integer px value */
+  --jp-code-font-family-default: menlo, consolas, 'DejaVu Sans Mono', monospace;
+  --jp-code-font-family: var(--jp-code-font-family-default);
+
+  /* This gives a magnification of about 125% in presentation mode over normal. */
+  --jp-code-presentation-font-size: 16px;
+
+  /* may need to tweak cursor width if you change font size */
+  --jp-code-cursor-width0: 1.4px;
+  --jp-code-cursor-width1: 2px;
+  --jp-code-cursor-width2: 4px;
+
+  /* Layout
+   *
+   * The following are the main layout colors use in JupyterLab. In a light
+   * theme these would go from light to dark.
+   */
+
+  --jp-layout-color0: white;
+  --jp-layout-color1: white;
+  --jp-layout-color2: var(--md-grey-200);
+  --jp-layout-color3: var(--md-grey-400);
+  --jp-layout-color4: var(--md-grey-600);
+
+  /* Inverse Layout
+   *
+   * The following are the inverse layout colors use in JupyterLab. In a light
+   * theme these would go from dark to light.
+   */
+
+  --jp-inverse-layout-color0: #111;
+  --jp-inverse-layout-color1: var(--md-grey-900);
+  --jp-inverse-layout-color2: var(--md-grey-800);
+  --jp-inverse-layout-color3: var(--md-grey-700);
+  --jp-inverse-layout-color4: var(--md-grey-600);
+
+  /* Brand/accent */
+
+  --jp-brand-color0: var(--md-blue-900);
+  --jp-brand-color1: var(--md-blue-700);
+  --jp-brand-color2: var(--md-blue-300);
+  --jp-brand-color3: var(--md-blue-100);
+  --jp-brand-color4: var(--md-blue-50);
+  --jp-accent-color0: var(--md-green-900);
+  --jp-accent-color1: var(--md-green-700);
+  --jp-accent-color2: var(--md-green-300);
+  --jp-accent-color3: var(--md-green-100);
+
+  /* State colors (warn, error, success, info) */
+
+  --jp-warn-color0: var(--md-orange-900);
+  --jp-warn-color1: var(--md-orange-700);
+  --jp-warn-color2: var(--md-orange-300);
+  --jp-warn-color3: var(--md-orange-100);
+  --jp-error-color0: var(--md-red-900);
+  --jp-error-color1: var(--md-red-700);
+  --jp-error-color2: var(--md-red-300);
+  --jp-error-color3: var(--md-red-100);
+  --jp-success-color0: var(--md-green-900);
+  --jp-success-color1: var(--md-green-700);
+  --jp-success-color2: var(--md-green-300);
+  --jp-success-color3: var(--md-green-100);
+  --jp-info-color0: var(--md-cyan-900);
+  --jp-info-color1: var(--md-cyan-700);
+  --jp-info-color2: var(--md-cyan-300);
+  --jp-info-color3: var(--md-cyan-100);
+
+  /* Cell specific styles */
+
+  --jp-cell-padding: 5px;
+  --jp-cell-collapser-width: 8px;
+  --jp-cell-collapser-min-height: 20px;
+  --jp-cell-collapser-not-active-hover-opacity: 0.6;
+  --jp-cell-editor-background: var(--md-grey-100);
+  --jp-cell-editor-border-color: var(--md-grey-300);
+  --jp-cell-editor-box-shadow: inset 0 0 2px var(--md-blue-300);
+  --jp-cell-editor-active-background: var(--jp-layout-color0);
+  --jp-cell-editor-active-border-color: var(--jp-brand-color1);
+  --jp-cell-prompt-width: 64px;
+  --jp-cell-prompt-font-family: var(--jp-code-font-family-default);
+  --jp-cell-prompt-letter-spacing: 0;
+  --jp-cell-prompt-opacity: 1;
+  --jp-cell-prompt-not-active-opacity: 0.5;
+  --jp-cell-prompt-not-active-font-color: var(--md-grey-700);
+
+  /* A custom blend of MD grey and blue 600
+   * See https://meyerweb.com/eric/tools/color-blend/#546E7A:1E88E5:5:hex */
+  --jp-cell-inprompt-font-color: #307fc1;
+
+  /* A custom blend of MD grey and orange 600
+   * https://meyerweb.com/eric/tools/color-blend/#546E7A:F4511E:5:hex */
+  --jp-cell-outprompt-font-color: #bf5b3d;
+
+  /* Notebook specific styles */
+
+  --jp-notebook-padding: 10px;
+  --jp-notebook-select-background: var(--jp-layout-color1);
+  --jp-notebook-multiselected-color: var(--md-blue-50);
+
+  /* The scroll padding is calculated to fill enough space at the bottom of the
+  notebook to show one single-line cell (with appropriate padding) at the top
+  when the notebook is scrolled all the way to the bottom. We also subtract one
+  pixel so that no scrollbar appears if we have just one single-line cell in the
+  notebook. This padding is to enable a 'scroll past end' feature in a notebook.
+  */
+  --jp-notebook-scroll-padding: calc(
+    100% - var(--jp-code-font-size) * var(--jp-code-line-height) -
+      var(--jp-code-padding) - var(--jp-cell-padding) - 1px
+  );
+
+  /* Rendermime styles */
+
+  --jp-rendermime-error-background: #fdd;
+  --jp-rendermime-table-row-background: var(--md-grey-100);
+  --jp-rendermime-table-row-hover-background: var(--md-light-blue-50);
+
+  /* Dialog specific styles */
+
+  --jp-dialog-background: rgba(0, 0, 0, 0.25);
+
+  /* Console specific styles */
+
+  --jp-console-padding: 10px;
+
+  /* Toolbar specific styles */
+
+  --jp-toolbar-border-color: var(--jp-border-color1);
+  --jp-toolbar-micro-height: 8px;
+  --jp-toolbar-background: var(--jp-layout-color1);
+  --jp-toolbar-box-shadow: 0 0 2px 0 rgba(0, 0, 0, 0.24);
+  --jp-toolbar-header-margin: 4px 4px 0 4px;
+  --jp-toolbar-active-background: var(--md-grey-300);
+
+  /* Statusbar specific styles */
+
+  --jp-statusbar-height: 24px;
+
+  /* Input field styles */
+
+  --jp-input-box-shadow: inset 0 0 2px var(--md-blue-300);
+  --jp-input-active-background: var(--jp-layout-color1);
+  --jp-input-hover-background: var(--jp-layout-color1);
+  --jp-input-background: var(--md-grey-100);
+  --jp-input-border-color: var(--jp-inverse-border-color);
+  --jp-input-active-border-color: var(--jp-brand-color1);
+  --jp-input-active-box-shadow-color: rgba(19, 124, 189, 0.3);
+
+  /* General editor styles */
+
+  --jp-editor-selected-background: #d9d9d9;
+  --jp-editor-selected-focused-background: #d7d4f0;
+  --jp-editor-cursor-color: var(--jp-ui-font-color0);
+
+  /* Code mirror specific styles */
+
+  --jp-mirror-editor-keyword-color: #008000;
+  --jp-mirror-editor-atom-color: #88f;
+  --jp-mirror-editor-number-color: #080;
+  --jp-mirror-editor-def-color: #00f;
+  --jp-mirror-editor-variable-color: var(--md-grey-900);
+  --jp-mirror-editor-variable-2-color: rgb(0, 54, 109);
+  --jp-mirror-editor-variable-3-color: #085;
+  --jp-mirror-editor-punctuation-color: #05a;
+  --jp-mirror-editor-property-color: #05a;
+  --jp-mirror-editor-operator-color: #a2f;
+  --jp-mirror-editor-comment-color: #408080;
+  --jp-mirror-editor-string-color: #ba2121;
+  --jp-mirror-editor-string-2-color: #708;
+  --jp-mirror-editor-meta-color: #a2f;
+  --jp-mirror-editor-qualifier-color: #555;
+  --jp-mirror-editor-builtin-color: #008000;
+  --jp-mirror-editor-bracket-color: #997;
+  --jp-mirror-editor-tag-color: #170;
+  --jp-mirror-editor-attribute-color: #00c;
+  --jp-mirror-editor-header-color: blue;
+  --jp-mirror-editor-quote-color: #090;
+  --jp-mirror-editor-link-color: #00c;
+  --jp-mirror-editor-error-color: #f00;
+  --jp-mirror-editor-hr-color: #999;
+
+  /*
+    RTC user specific colors.
+    These colors are used for the cursor, username in the editor,
+    and the icon of the user.
+  */
+
+  --jp-collaborator-color1: #ffad8e;
+  --jp-collaborator-color2: #dac83d;
+  --jp-collaborator-color3: #72dd76;
+  --jp-collaborator-color4: #00e4d0;
+  --jp-collaborator-color5: #45d4ff;
+  --jp-collaborator-color6: #e2b1ff;
+  --jp-collaborator-color7: #ff9de6;
+
+  /* Vega extension styles */
+
+  --jp-vega-background: white;
+
+  /* Sidebar-related styles */
+
+  --jp-sidebar-min-width: 250px;
+
+  /* Search-related styles */
+
+  --jp-search-toggle-off-opacity: 0.5;
+  --jp-search-toggle-hover-opacity: 0.8;
+  --jp-search-toggle-on-opacity: 1;
+  --jp-search-selected-match-background-color: rgb(245, 200, 0);
+  --jp-search-selected-match-color: black;
+  --jp-search-unselected-match-background-color: var(
+    --jp-inverse-layout-color0
+  );
+  --jp-search-unselected-match-color: var(--jp-ui-inverse-font-color0);
+
+  /* Icon colors that work well with light or dark backgrounds */
+  --jp-icon-contrast-color0: var(--md-purple-600);
+  --jp-icon-contrast-color1: var(--md-green-600);
+  --jp-icon-contrast-color2: var(--md-pink-600);
+  --jp-icon-contrast-color3: var(--md-blue-600);
+
+  /* Button colors */
+  --jp-accept-color-normal: var(--md-blue-700);
+  --jp-accept-color-hover: var(--md-blue-800);
+  --jp-accept-color-active: var(--md-blue-900);
+  --jp-warn-color-normal: var(--md-red-700);
+  --jp-warn-color-hover: var(--md-red-800);
+  --jp-warn-color-active: var(--md-red-900);
+  --jp-reject-color-normal: var(--md-grey-600);
+  --jp-reject-color-hover: var(--md-grey-700);
+  --jp-reject-color-active: var(--md-grey-800);
+
+  /* File or activity icons and switch semantic variables */
+  --jp-jupyter-icon-color: #f37626;
+  --jp-notebook-icon-color: #f37626;
+  --jp-json-icon-color: var(--md-orange-700);
+  --jp-console-icon-background-color: var(--md-blue-700);
+  --jp-console-icon-color: white;
+  --jp-terminal-icon-background-color: var(--md-grey-800);
+  --jp-terminal-icon-color: var(--md-grey-200);
+  --jp-text-editor-icon-color: var(--md-grey-700);
+  --jp-inspector-icon-color: var(--md-grey-700);
+  --jp-switch-color: var(--md-grey-400);
+  --jp-switch-true-position-color: var(--md-orange-900);
+}
+</style>
+<style type="text/css">
+/* Force rendering true colors when outputing to pdf */
+* {
+  -webkit-print-color-adjust: exact;
+}
+
+/* Misc */
+a.anchor-link {
+  display: none;
+}
+
+/* Input area styling */
+.jp-InputArea {
+  overflow: hidden;
+}
+
+.jp-InputArea-editor {
+  overflow: hidden;
+}
+
+.cm-editor.cm-s-jupyter .highlight pre {
+/* weird, but --jp-code-padding defined to be 5px but 4px horizontal padding is hardcoded for pre.cm-line */
+  padding: var(--jp-code-padding) 4px;
+  margin: 0;
+
+  font-family: inherit;
+  font-size: inherit;
+  line-height: inherit;
+  color: inherit;
+
+}
+
+.jp-OutputArea-output pre {
+  line-height: inherit;
+  font-family: inherit;
+}
+
+.jp-RenderedText pre {
+  color: var(--jp-content-font-color1);
+  font-size: var(--jp-code-font-size);
+}
+
+/* Hiding the collapser by default */
+.jp-Collapser {
+  display: none;
+}
+
+@page {
+    margin: 0.5in; /* Margin for each printed piece of paper */
+}
+
+@media print {
+  .jp-Cell-inputWrapper,
+  .jp-Cell-outputWrapper {
+    display: block;
+  }
+}
+</style>
+<!-- Load mathjax -->
+<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/latest.js?config=TeX-AMS_CHTML-full,Safe"> </script>
+<!-- MathJax configuration -->
+<script type="text/x-mathjax-config">
+    init_mathjax = function() {
+        if (window.MathJax) {
+        // MathJax loaded
+            MathJax.Hub.Config({
+                TeX: {
+                    equationNumbers: {
+                    autoNumber: "AMS",
+                    useLabelIds: true
+                    }
+                },
+                tex2jax: {
+                    inlineMath: [ ['$','$'], ["\\(","\\)"] ],
+                    displayMath: [ ['$$','$$'], ["\\[","\\]"] ],
+                    processEscapes: true,
+                    processEnvironments: true
+                },
+                displayAlign: 'center',
+                CommonHTML: {
+                    linebreaks: {
+                    automatic: true
+                    }
+                }
+            });
+
+            MathJax.Hub.Queue(["Typeset", MathJax.Hub]);
+        }
+    }
+    init_mathjax();
+    </script>
+<!-- End of mathjax configuration --><script type="module">
+  document.addEventListener("DOMContentLoaded", async () => {
+    const diagrams = document.querySelectorAll(".jp-Mermaid > pre.mermaid");
+    // do not load mermaidjs if not needed
+    if (!diagrams.length) {
+      return;
+    }
+    const mermaid = (await import("https://cdnjs.cloudflare.com/ajax/libs/mermaid/10.6.0/mermaid.esm.min.mjs")).default;
+    const parser = new DOMParser();
+
+    mermaid.initialize({
+      maxTextSize: 100000,
+      startOnLoad: false,
+      fontFamily: window
+        .getComputedStyle(document.body)
+        .getPropertyValue("--jp-ui-font-family"),
+      theme: document.querySelector("body[data-jp-theme-light='true']")
+        ? "default"
+        : "dark",
+    });
+
+    let _nextMermaidId = 0;
+
+    function makeMermaidImage(svg) {
+      const img = document.createElement("img");
+      const doc = parser.parseFromString(svg, "image/svg+xml");
+      const svgEl = doc.querySelector("svg");
+      const { maxWidth } = svgEl?.style || {};
+      const firstTitle = doc.querySelector("title");
+      const firstDesc = doc.querySelector("desc");
+
+      img.setAttribute("src", `data:image/svg+xml,${encodeURIComponent(svg)}`);
+      if (maxWidth) {
+        img.width = parseInt(maxWidth);
+      }
+      if (firstTitle) {
+        img.setAttribute("alt", firstTitle.textContent);
+      }
+      if (firstDesc) {
+        const caption = document.createElement("figcaption");
+        caption.className = "sr-only";
+        caption.textContent = firstDesc.textContent;
+        return [img, caption];
+      }
+      return [img];
+    }
+
+    async function makeMermaidError(text) {
+      let errorMessage = "";
+      try {
+        await mermaid.parse(text);
+      } catch (err) {
+        errorMessage = `${err}`;
+      }
+
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+
+    void Promise.all([...diagrams].map(renderOneMarmaid));
+  });
+</script>
+<style>
+  .jp-Mermaid:not(.jp-RenderedMermaid) {
+    display: none;
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+
+  .jp-RenderedMermaid {
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+  .jp-RenderedMermaid img {
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+</style>
+<!-- End of mermaid configuration --></head>
+<body class="jp-Notebook" data-jp-theme-light="true" data-jp-theme-name="JupyterLab Light">
+<main>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h1 id="Feature-finding-in-3D-confocal-images">Feature finding in 3D confocal images<a class="anchor-link" href="#Feature-finding-in-3D-confocal-images">¶</a></h1>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>Confocal microscopy is a techique that is able to make image slices of your sample. New developments (spinning disk scanning, resonant mirrors) have made this technique sufficiently fast for 3D tracking. Commonly, the sample is mounted on a piezo stage that is able to quickly scan the sample in Z direction. In this way, sequences of Z pictures can be made. By repeating this, the sample can be followed real-time in 3D.</p>
+<p>Because of the different techniques used for XY and Z resolution, pixel sizes in these directions are mostly not equal. It is easy to extend the method of Crocker &amp; Grier to 3 dimensions with different feature sizes. Trackpy can do this from version v0.3; the only thing you need to do is load your images as 3 dimensional numpy arrays and supply a tuple value for diameter, describing feature size in each dimension.</p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>First, we initalize IPython and load the required packages. PIMS and Trackpy v0.3 are required.</p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="Setup-IPython,-pims,-trackpy">Setup IPython, pims, trackpy<a class="anchor-link" href="#Setup-IPython,-pims,-trackpy">¶</a></h2>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [1]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="o">%</span><span class="k">matplotlib</span> inline
+<span class="kn">import</span> <span class="nn">matplotlib</span> <span class="k">as</span> <span class="nn">mpl</span>
+<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
+<span class="n">mpl</span><span class="o">.</span><span class="n">rc</span><span class="p">(</span><span class="s1">'figure'</span><span class="p">,</span>  <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">10</span><span class="p">,</span> <span class="mi">6</span><span class="p">))</span>
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="kn">from</span> <span class="nn">pandas</span> <span class="kn">import</span> <span class="n">DataFrame</span><span class="p">,</span> <span class="n">Series</span>  <span class="c1"># for convenience</span>
+
+<span class="kn">import</span> <span class="nn">pims</span>
+<span class="kn">import</span> <span class="nn">trackpy</span> <span class="k">as</span> <span class="nn">tp</span>
+
+<span class="kn">import</span> <span class="nn">warnings</span>
+<span class="n">warnings</span><span class="o">.</span><span class="n">filterwarnings</span><span class="p">(</span><span class="s2">"ignore"</span><span class="p">,</span> <span class="n">module</span><span class="o">=</span><span class="s2">"matplotlib"</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="Import-3D-images">Import 3D images<a class="anchor-link" href="#Import-3D-images">¶</a></h2>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>We make use of <code>ImageSequenceND</code>. This reader class searches for files matching a certain search string. The filename should contain indentifiers for each axis (dimension). For example <code>"demo_t001_z001.png"</code> contains identifiers <code>t</code> and <code>z</code>. We set the returned image axes to <code>zyx</code> and the iterating axis to <code>t</code>. In this way we get 3D images indexed by <code>t</code>.</p>
+<p>For this tutorial, the images are inside a zipfile. You can extract the images from the specified archive to check them out.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [2]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">frames</span> <span class="o">=</span> <span class="n">pims</span><span class="o">.</span><span class="n">ImageSequenceND</span><span class="p">(</span><span class="sa">r</span><span class="s1">'../sample_data/pmma_colloids.zip'</span><span class="p">,</span> <span class="n">axes_identifiers</span> <span class="o">=</span> <span class="p">[</span><span class="s1">'z'</span><span class="p">,</span> <span class="s1">'t'</span><span class="p">])</span>
+<span class="n">frames</span><span class="o">.</span><span class="n">bundle_axes</span> <span class="o">=</span> <span class="p">[</span><span class="s1">'z'</span><span class="p">,</span> <span class="s1">'y'</span><span class="p">,</span> <span class="s1">'x'</span><span class="p">]</span>
+<span class="n">frames</span><span class="o">.</span><span class="n">iter_axes</span> <span class="o">=</span> <span class="s1">'t'</span>
+<span class="n">frames</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child jp-OutputArea-executeResult">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[2]:</div>
+<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
+<pre>&lt;ImageSequenceND&gt;
+Source: /Users/charles/codes/trackpy-examples/sample_data/pmma_colloids.zip
+Axes: 4
+Axis 'z' size: 25
+Axis 't' size: 33
+Axis 'y' size: 128
+Axis 'x' size: 128
+Pixel Datatype: uint8</pre>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>The time-index of the first frame is always 0, regardless of the index in the filename. We can use <code>pims</code> 3d scrollable stack feature to display a 3D image. Use the scroll wheel to scroll through the focal planes.</p>
+<p>This feature will not work online, download the example and run it yourself to checkout the scrollable stack feature.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [3]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">frames</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child jp-OutputArea-executeResult">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[3]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
+<script>
+require(['jquery'], function() {
+  if (!(window.PIMS)) {
+    var stack_cursors = {};
+    window.PIMS = {stack_cursors: {}};
+  }
+  $('#stack-864b57ec-9510-4cb8-876a-4a61ef394065-slice-0').css('display', 'block');
+  window.PIMS.stack_cursors['864b57ec-9510-4cb8-876a-4a61ef394065'] = 0;
+});
+
+require(['jquery'],
+$('#image-stack-864b57ec-9510-4cb8-876a-4a61ef394065').bind('mousewheel DOMMouseScroll', function(e) {
+  var direction;
+  var cursor = window.PIMS.stack_cursors['864b57ec-9510-4cb8-876a-4a61ef394065'];
+  e.preventDefault();
+  if (e.type == 'mousewheel') {
+    direction = e.originalEvent.wheelDelta < 0;
+  }
+  else if (e.type == 'DOMMouseScroll') {
+    direction = e.originalEvent.detail < 0;
+  }
+  var delta = direction * 2 - 1;
+  if (cursor + delta < 0) {
+    return;
+  }
+  else if (cursor + delta > 25 - 1) {
+    return;
+  }
+  $('#stack-864b57ec-9510-4cb8-876a-4a61ef394065-slice-' + cursor).css('display', 'none');
+  $('#stack-864b57ec-9510-4cb8-876a-4a61ef394065-slice-' + (cursor + delta)).css('display', 'block');
+  window.PIMS.stack_cursors['864b57ec-9510-4cb8-876a-4a61ef394065'] = cursor + delta;
+}));</script><div ,="" id="image-stack-864b57ec-9510-4cb8-876a-4a61ef394065" style="width: 512; float: left; display: inline;"><img alt="No description has been provided for this image" id="stack-864b57ec-9510-4cb8-876a-4a61ef394065-slice-0" 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" 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gAqR1sAlWOkXPm/xPIBRvT55ks57Kp3z3P7LrJ99Hvs9xt7BZxjshf6fulSfkFEft44P+0/wXIXD7FcQsla1RJq7B+n/a5gMZC8flE5fnuY/Bb3vvoTxFw/HbOM6TZgeQVXsDy+FeAXgL8F/FfgP+JxhojoB9H1aWxB+QTXMJ+C7utd+j2ghVwPy/0nDZWiLYDK0RZA5eg+htvGm1hdwJAMYWB75MMbY3JScrcUF5CdPyTjVZtf8iHomCEOYuUxgNfTQ783sWIF4umJ4+fXqRh+lMuy9Uu8yNJHJpgf4Fra9hLmS7iLxRreo987eJa9PoTrwC8Bz2I9hC+xeM7rWA+h95jWUSKkRzRUjLYAKkdbAJVjtIHzy32Lfq9Z8QTJxtzAZLtkqerNog/+mGkuAHA/uvr8qpd9fj7o8+5o2wJmey9jOkqerx958Hbp1zbGcUj7naX5r4Z91/E6vzie5GiMJURf/Xn2Lt/JIaYHfBHzC3yPfp/iW+lenDLNryxdoqRDraRxX8Lk/yVW16BahvuYfyGH8gOkbyh3oqFitAVQOdoCqByjW3gPmpuY/BD/3Tomew8w+ZTLlRinLvEAR7mv7YL4feO+s/IJxUl8H9MDoszUKla+f4T8+XluvOS78vVP6fMCxzqDrXQu6QcdHnuPclt2tWofpF/8L6yPwVXgb6Z9v4/VIPwhVo8ov8cx5o/RtRwy3begw2o5HmC6wGcwnejrmC4gf0WeR6A8AflhGldwQ1sAtaMtgMrRfQHjxbuKyddJ+kEyRDZ99AtoH9nPs2rXhWXMjj/D4uqypRcwGTuXtktWX0/n2cFkf17/p/NKPqqeIOfj0f7xfMv0+QXk75e+I72gxGVUutYh3WWCyf7nsJyAHYx7QLa/ZL9k9ay8f9L8Rth93Eifn8V4Dv8JxnkE8GXg3wL/B9NbHswYsz0BKkdbAJWjLYDK0YHJzgVM/ub8vdGWHNPvDZDb1/I1rzNcN1CSrdFXoL5El4XfSPPUeTTfkh+h1PM3boufl3G5PAvSJYa4fSJ0ravA5zE5vY3JffVAPqavr6zg8ZHo41A/oYP0voHpTZtYr8NfwbibNfa3ML3uA/pxFXEknmbbGipGWwCVoy2AytFtYnZ27ssfqlmDMu+sjlNNvngFyfZTvV08XpzAZ2mMZUy+vce0TM9t7lxnmLrAwrVM0jyX8F5Jc/T9G3ltYc7dJw6eA8q9fsD0lVXMB6CePzuYfiSfxaO4gATduwWs1vClNKcTzH9zifdC2Mc4C5TbWeIN0P1qT4DK0RZA5WgLoHJ013CZt4HJNcX9TzE5M8Ji00PyqpSjr36Eqj0U3/4mzj2o+HnksVF+onSF9fT5QeEcvQuhL9ck9xYwGSx+nP007mba7wNcfoq3aD9db8nWH4XXRdhH3Ikj+jUIMW8wxhFUYyiuv0M8LnKG52XkXAgruM6zhsUaPpZ+v43Vddyj38dRPA0ltCdA5WgLoHK0BVA5unlM7iv3fx7LDbjAewfs0LfrSxw9eZ3fVdx2XkzHvo/37tmlbLvnPgL181nCYumy6Us+geIF4jJ+Hq8d3Mf0kkVMlq6k78fpXOrNezsbS7kDa5gP4AH9vATtp/sZe//lOZI58pwH7U86p/wU23je4QIeD1GM4gS/z0vpt2PcZ7KTPstv0FAx2gKoHG0BVI7uWUy2gsmYv4fVsL2D56WD96sd4719c3kVZfI4fT7B/d7SMSLnvnIFt5nOZc/lZZSLGq+kB8RtOl/kzY3ybxHnCCbdi/uY3iH7WbkSqmssId4D5SyUePyHjovYwGMjsfdg3gNBXE26n4pxqKdD5E8unWuN9gSoHm0BVI62ACrH6BZuM17DZPHTuD/8Zno/opxzHyH5sp7ex7jdfQfzUef+dfH3z9GXT9EfEOsHoa8XyCcRt8VxYn/DyJEvO38fyztYxvwUlxjfzhOYLH0n7bOK+y90D+IcL8N7HjMp1REqljDC7q22zTFdgym9R/2U5YPZCWOuYPdbHEbgus9cOnYr/b6L+S+intBQKdoCqBxtAVSO7hrGNXcFqylTfvwKphP8GLNF7+J5bee4jzu3TSeYrNzC5M82rl/sYr71S0zeqR5vDrN9FzF+O9m1p2HfvG4/xxDnoFa4dIg5XDfZSL9tY76NY7wuULGDp/EaxQf0OQR0zfNpLPUEyu360tzEpyhOAB2zgsVRNjB/xAf0fQ+rWC7DEZ6POBRbWEjvFwP7NJ7AhrYAakdbAJWj+0mcB/95TNbtYDLjJiZ/X8Fk5Bwm27cx//kIs5Nlb4p/dxHTKZaBT2L29f30233Mdl3D++bKVr2C6QC3MRl5RL9/UM4TPMJy5JcwP8M2blvL1x9lrHQN1Sd2eB/jOax30i+la/wBFhfYxvWGe5jPIPIQzeJGiL73nFO5tK+uOdZQKrZwnh1bqn3UfIa4DeI+qvNsT4DK0RZA5WgLoHJ0yjn7CCYDr2B25homS76M2e93Mdm3icmXfUy+XuCx/3XMNj3BZO0T6bcD4FcxPeK19F11f2eY3fsLmIz9Gm7bbqe5jfHeuaUeAbmNLb1BHH8XYSzwPDvpCM8AL+ByugN+DePgewX4CsbLdw/Tj2Zx+Shv4lEyOM+nVCxgHbtPezPOk+tC2gaz5b9qMKSLxD5NDZWiLYDK0RZA5egWMLmuXPZPYPJf/fX+Eq8RkH9+lPaN9f/KW4s2sexxMB/2cno9g/m87+J5gqdYr5sPmM4bnM8+P05/HcUPclkreRtjDWB8u7+O8fk8j+kl30hzegvr9/stTJfIcxuHbHIhz8VTbP4kXG+ss5CdPsb0IelJ0mfexX0RHfb3W03jbeP1nAd47oJ0GyHXHRoqRVsAlaMtgMrRgfnkn8F4Zw4xm7fDYgHK5bvA+XXlQxennezqFcxnMMZ8ANs4z+857p8/BH4a+Cyee/AmVo9wG89rk5x6XBkb8wulq6zgfAPKlZtP+2rcI0zGPoPJWXEm3E7vp+naVzB5exuTwzmvIvRjFwu4X0A+/jxuoNrMfcr9EMd4/wD1NTjIPutc4H8f9U7cx+1/+VGk70F7AlSPtgAqR1sAlaPbwGXZGPOJ38Bs4FulA/BauXy75N0ZZouKg/cibF/G+e5uYD6HrTTGj4APmc6Tg+keQaUeRXFfbVNtvuTeUC8+1Qj+NOYLWEvX+C7mr/ghlh95j9l+fp0fpv0QEUM5jIvhWNKcj9P7Jlaz8BSmm4gPSBzCETlPo/oLqJ9y4wlsANoCqB5tAVSOkerQrqf372D2e95/b4zJkdu4nStftbjxIgeA6s5O8Xw25RGKM/cjwOewHIFNLP6+gvP37abzXGDyTHpALjtj3p1yDEp191dwrkDVNCg37hDnSfhW2qZ6+2Vc93lUXx/dg3xbvEcxzpFD+ZXgetNVzCezjnECRi5H6Tfx76WcgKhn7OD8hnPh9/YEqBxtAVSOtgAqx8MQcSl+HrGAyaNcdilnXQOJd1++7REWXwezpS/Dvls4l8B2ep+k4+5gOsccVkugvEPVJzzKD5DL4Vn8fGDx9JuY/X8f5zFcwvSce4Xz5ufOz1E6p+oSL9N5cizSrwFYS/P6VTx2co71Hv5drC4j8hPltQeL6Xz6+6mmUGhPgMrRFkDlaAugcnT5BvHLSxaJE+Aw2y/noCPtu0C/753GzO3jK5hNew2zv/dx/4BsWnHe5P2J5EvQBUgGixv3kD4/IczOJ1Dc/gLnBvoQ92PMykEUX6/8D6WeClE2az6zagnFObCM3aMvAF/E9JS/wuT/D7AYxXYaVz2PI4+i+IdmoT0BKkdbAJWjLYDK0eV8fJIdkdcuxo4vs++z7GLwGoJSvZxW32oaJ48/6LfldOyDMFapTlD+epiup488fMqZL9Xba/7qd3ROX/9RDn+e26d7px5AeXxCn3Xd0c6Xj146kPocbWFxAPkNVrFcgAMsX2Mnff6Q/t9hBe/RkOtuOpf4BtsToHK0BVA52gKoHA/9AKWaczAZdIzX0UU7dyivLebGaz+dbFZ9vzh81KsIZtcElHwR+XiSnbKRJRPnw3vs/zcLV7FrO0jjKH9PPXmWw3wP8dzEOUwel3SWdTyerziK+hKIc+lJ4FPpOlbw/IXXsfwN1Vg+DjYx/UIxlvYEqBxtAVSOtgAqRwfDNWuXWO7+XVymK///CuaHVp2a7PO/LpQDWOLYHZpwaZ55foDs+AfM9r/nXATCkM9DfpJSfEB+hjweILtbusYEs//PsDyD0liq51ef4w08rn+KcRbcx30fEzzfcRby2sX2BKgcbQFUjrYAKke3iMmsvDdd3vc+2tbyM0c8TlxA40rmqn+f/O15vdqs3sTgvvp5PGfwHLPJI9Qfby/sL5u8pB+U5q2cOr3H+7GexlQfnhHmx38+jfM+5q/XPVvGdKhFnFdR/Mz5fObwegRxAqykc15guYuqo5RfQvUEpeuIaL2DG9oCqB1tAVSOkeS/uHRky3a4LI327znlPLNS3/tzvA+u7NPoDxefzXE4VhzFO/RltcYX980h7ne4wHmAIrqwb6x5yPsRz9H3YZRi+bKdSz0BT/CeA+o5vJzNL4+NqC+w8hom4fNJ2O865gdQvoR8LrFvoK4n/7vk8n8xzUu5jqqxaKgYbQFUjrYAKkcXP0Qf91r6LB5A2ahDduUGJtNybp9H2aKz9on+95Jczo/vwvdH1fELQ/4OYROTs3m+Yu43iePF2MIE40HYw/wEqs9bw/SHfcr5kh2WDwDuCzhKL/ETSx/SfRfW0usSzxskjSEfTuMKbgDaAqgebQFUjm6E1/hHLl3x/+SxdiHKyzynfvBkTPPrS25LZj1uXsCjkM8l2s8XeN9g1T8chP2UO5/fk3UsL3Af41AcmucI77+0g/EdHeJyV76DeP8mOB+weAMk+8UVGPUh8RudUtZDZsU6hMYR1NAWQO1oC6BydPpnltyVTJHMKPHgXWJ2qfLm57CYuOR6nhcfzzlUXxDPPbStVDcQx4s+jJw/J6JUyxDrGHK5Kr+D4ijK1T8Kx6u/0QruJ9lO4yzi+YwaW3H8CPkDdE0xb2IJrx1QPGKIgzDnaFjA4wINFaMtgMrRFkDl6JZxG1jydB54Ln3exe3SBVzWgcuwFZwXUNuv4fl+m5g9/A7lfL+Hk8Fl6+PEE2Srq55f+Y1HuIw9pVyvIJ0gl5lDc1Ddn3oICfKhqA+C8ivEl7RDn/+3lCNZ0kvG6RoWMR1Kvv4hvkbF+lewmMMu3juoxF80h/2N2hOgcrQFUDnaAqgcD/MBYo1dtK2XcJ+45KLs3l2cA0i8fOuYzD/G5LL87HdwWzTW44ur5hj31y8wzcsT5eQEy707xeRdXtcoLOB+CY0jW1g1dVfT9wc4r9CQT0J59Et4Hn/+u/SeE/q6gnL2h3gE4/xzv0j0UZRqIWXPHzOb01DcT/KL3KQ9AapHWwCVoy2AytHl+X5X0g/KB5TdGXPVcz87mHyRn+ASiwOsAm9jPoJxGE+8vOLs0ThLeP9hcRI9nGg67jpmF8s3EX0BOfQb4XfZ7Xkdgz6LF6CkB6gfYH6+ZUz+xnj/Iu67h9nxjogJnofxOPmUI5wjeQG7NxeYLqYaDsUJNP4S/T7LDRWjLYDK0RZA5XjIERTr3ZUPGHkDFfuWLH8Ck8NHmLyZC8ceYXJfuYWqg3sSk5fbmPy5w7QtnXPY6LPGXk7v93BZWYovPI78lM5xgPsKttJ427iekvsh4tizei09bp7Fo/aP++W6xCrwLHaPb2M6wDXsPh2k7ac4N0I8V+MHaGgLoHa0BVA5OjBZGOPm8pOv4bw3Q3Fy7b+K57VP8NhAxD5eq68YgMZeDNtV6xbz5sWTu41zDUj3kI6yx7AszvMB57E8vefTOe9jOsk2bjPL7o/5BBpL15rz8ec5iBdp33W8n9EDpnmMNHa8txNMTuva8nmU9IUV7F5dS3N5Jx2nGIXqDB5gulp7AlSOtgAqR1sAlWMkOSY7H9wX/kA7YXJEHDji54k+9H2cv+461gvwFiZzNjEZexbGO6IvrxWjVz7fKmbHXmDybBOzc/cxG3c1jfMBfdkuWXcZtud9Cro03meAFzH5epiOjRAvYF57EPsR5bI4t9eVk7CP+S6G6iwVg4jHKwYjv704ho+xeyOOAfUGOk3fX8T8GXt4fGAPy2G4l8aXD6Q9ASpHWwCVoy2AytFBnydnKO9ciNy4d7OBVrEcuwtM/p/g/vw5TOas4frFMSaLldu3SD8WvpbGFKf+Ct4H4BDny5d8nMc5dMSdKzksu3wp7fMk8LPAz2Oyfztd/z3gvwFvpHPKrh/KOYB+rt0sxPsc75s4E+SbV0/DWXGGUj2B8ixij4HNdI5tvB/yXjpH6xfQ0BZA7WgLoHI8zAlcxWPH+i4uWfm2pSPkdfQXmLyVrJxgtvo+Xr++j/UfWsBy/jT2ISbrFb/ex2MRpXr5WPO3hPssVJsQfeyr6XfFDmTTbwLPAB9L53oO+DjmU3gbk5WvYDz/ua9f1wz9vELx+l5gulGJV3GoPxGFfUuI+2zi9+wYu0+q0ZjD/wYHeN2k+hmdY/dEvQobKkZbAJWjLYDKMZIck/14hMnOmMsPXrOX156p9l11A9IFFGvexmTRE2nbUhorchE/SOeLNX6ycW9ifocJpjtIL1DsQf2GFLeI8QzVISiv4RTXcZ5LczlOx7+LxRoOMR1A3PyKx6t+UdcccyeVl6j+iuIanGB1Fith3H08n0D9hZRLsUu5F4PQYT5+9Qrapv83ifWDI8wP8Mk0xx9iPo6tdN3KL2hPgMrRFkDlaAugcnSljTH3XD722JM25gdcxXvXxePyPDzVzsd6w+fS2PdwLkH51OW3l6zfTMffp18XGGP14tQt2d/Rb74OvAz8Ypr/99IYL6TxXgG+geXTRb9Cbv8P1fuJY7Bk8yuP4YR+3WCpPkKxAOU4XKTj1zD7XjmQ6tvchf1Un3iC61biZcj7MTZUjLYAKkdbAJVDqe+9uvRY/x/tUsnW6Ofepp8fJ//zHN6D8BTP85+kfecw2Ss7dj3tH/nwFoGn8Pw41bhtpN+UDyD/hXQB2eWlPoE6n/SMT2Hc/kdYjuDvAd8GfhyuUzI6l/eRvz/a45LbksuKX5Cu/4h+Hx/1Btb44hfSeFuYzvIEzm8wAd7CdJXYd2g5XJ/OL90o5ydq/QIa2gKoHW0BVI4eT+BC+Kz8e3HW3sdliGxv5RDkesICfXmzlY5R/n08sezkaKvP45x+I/o1C9fTfFT7fic7l3rtxdrCkr2+BPwy8HnM/l8Avgl8BcsHvEjn2A7z/X/pZZRzCSxiOox69yrnf5e+7pX7LZ4Hfgb429jf5a+A72P5C2/jOks8b6xPLPUVgvYEqB5tAVSOtgAqx+gmFgeP9W7KTz/E5GCUweDy5AiTZ7JBlXO/gPPpLuKc+QuYLXuC16hF34KgHPx5LI9Q/vNtnN/3Vvq+iuX4q/ZO8YQI2emRp3gOk5uHwJ9g+sltTKco5QFKfiuvXrULGl/IeRTkQ5AvI/YohH6MJc439gpQ3sAEr708TNf+DK6n5GNEHeqSfr6A/t7tCVA52gKoHG0BVI4OTJaor5/q1ORXL9nQ2pZz5A5BcYEu7V/Kj1cMXb6FZSwH4Azn7NtKL3H1H+P+iVgLWOq9By4XVcN4jsl98QAsYbmDZxgnQewjMNSfUNyF50zz+ETkPP8l/UG+ecUgFtP7FayG4SrwW5g/oMN8Ab8P/AiLC2zTr4PQmLP4E9sToHK0BVA52gKoHF1JxiuXLCL65seYHI6Yw2v2wGS1dAr1BYh5A7LJKWzLfeGrOCcBeL6BagkF9SLQPjFeH69NMQ/VLqyk1xirD1R94og+V7Fy8k7o90/QNc7hdRFDvXvyvMlZ8QX58tUn4eNY7OIqJvNfw2oN3sHzJGP+Qof3fLoYmFN7AlSOtgAqR1sAlaMr5bQJqjFT3rn4f3PO3QtcjsrXLX96HHeC2de76QWuO8wxnYM/SWNeYjrAKWZz72F1eCcMcwNHHUMxiuinLx23hPMPRU5DJU5KtqqfUW5PL6Rt4zR35fXldvkl7ue4SNctPv/cp7KIxUN+DvipdN330/5rWEzkbYzLQPWPOUp9laTjtCdA5WgLoHK0BVA5pmoDV/Ccu1Oc/2clfVf9wIP8wAD5zSVzx5j9rN4D4Pnwh2nMWCen3HnJyks8hi+/v/rkKZ/umXSe9/DevY+DSdpf/ZClB7zFdI6ddCHNX779kr+hhGXMjv8cptPcAV7FfPrbA8dLP5IvJPZyVu7mnbRvHl8Rn4BqKqX/RN2pPQEqR1sAlaMtgMpR5AeI9f/qS3uI29LKGRTnv3wDihOotk01Ahfh92inPm6ufYxNKDevlIcgzh6wGPp82nefft7cImZD79PnQLqkb9/PyvmLUB3jZfguOav5qF+veBF/B8v1fwOrR/g2ZttHzGM6yg28nlDzizqYfBCR01i5BUP5CfHYhorRFkDlaAugcnSSm0N8NzDNw/M4/W4j5O+PPP7iC4p97eV/AKs36LB4t8aQvT3COQIfUObhj5ANfxne83p/cefn/fzUZ6/D/SLqeUias3gLNU/pOrK7F7F4/kY69kWMv+8CeB3TA+5jdQ3vhHFH9GsIxJt0iekYymWUjqV9YDpWkd8P8R+2J0DlaAugcrQFUDlGkh3iv40+YsnbKKfzOr55LMZ/gMnj3NaX/hD9BerRJ65e5Qyqh8AF7t9eoS+3T/D4/mkaR1xGMT8v4jLst0/fZz6h3ANYPo19PAYif8RhOF7HqW5Qtrd+l96xl67lE1ifogXgB3huxPv08ywl4yNULyhbX7xJ0K/fzPs36H/5As75cJ/WO7iBtgCqR1sAlWMqFvAU7stXLxrFvSOnbe4PGOF5+ZKFd5i20cWBq5j/UTrnDSzf7XY6v/SNQ9wOj7wDuc2fcxOX5ljqtbeejt0J41/gfvno54i5hrLvV3Cf/xnm51/EbPqYk6Da/pcwjuRnwrnfBv4A4ytQHoTyEEv9Cpfw3Aj1ZBQ/oPQ13ffYN/Ec51+SD6E9ASpHWwCVoy2AyjGlA5RiAkP+ftnn4r+PY+i4Utwg5wQc+iwfg2reZb+W6vRLdYaruM9gd+Aa8utbDfMu2eLyxYs/UX74yA2QcwOKw3cVeDa9LrAcBfEAfYjpO/IzyH5XjCHWG4zwGoBZPn9hks4X8zE17/YEqBxtAVSOtgAqRxflruLNJe66kk09CfvGnIGYmyfINx1jC8o5VD/BpzF59iEm48Szf14YT8h7GkV9YBnPXYyyPLfnpZfo2Dw3sITV9C5/wQKWh6g+yHfwPoDneOyDtM+T6f02Zv/HWslSLt86zokQ9a1Z+RjLeG2mchEjl7LyQBoqRlsAlaMtgMpRrAuQ7z2Xm+LWybn4Yr5e7jdfwfPm79CvGVzEZNsyVvt+C+txC6YDKCfhUf10h2Rg1EU2MPl3hsnDfcp6zWb6rH5EpZiD3sd4b2P5RG6lY3Oug/m0r3gQFXdYxe7Lu3ieQayBzDErd1PzUv+lPaZ1p9gXQvGdhorRFkDlaAugcnSyEyVbHsUTDCa3lrH4ffQhlHhzJNO2MLm2i8ehFateweTWEeYDUG7Bg3D+IVk/tF3XsYLJ2q10nSeY/I+cxfKtl8bs0rWqL8I+Xm8YfesTTCfYTvupVvC0MCa4/hG35zmZMH3/Y2w/z8co1QHGPArpdeJ0an6AhrYAakdbAJWjE5/sMdO2f+T4K+XTCcpfO8s+lyC+G9X5a78j3K+u/PdL3Je+nn47oD+2uO4k2zRv8B67a+m79IxdnJdPkH2v6xzSK+QruI7X84lDWPn/J2G8yDUsGR9rMMZ4rZ+wmN5VW6j8SPVozOemsaTTlHgQxakkzqV9vA6joWK0BVA52gKoHF38cIlx0W9ivunogx/R70ErXr28b0A+uOxQye1zXEZH+ajYtex0YRWP6Q9x/21hcvIe7vu+icm9jXQ9L+M9d3+I8QlGDn3Z8h2mI5TsdHCfv2xr+StOcO5A5T3EOIb6EojbSGPm/Y113FC/gVE4RwmzYgWaX+RBbk+AytEWQOVoC6ByTOkAuU9Z9fnKWRvyOeeyZwOzM0/pc+xKtq5jsl4992LNvWzmNfr5g3luX15HsIrnuinf4Fngo5icfi/9dkI/Tn7KsEzV2M9jusSPcN7dRaxuQTV6+3i+wxzWJ3kF05M+KIw7TmMehzlI/pdqDHQftrB7vUM//pLHEiI3w0aa63E67kHYr6FitAVQOdoCqBxd9PeDyw31vIm2cJRHyqOP/YDEs3eOyeNNLGfgmOmcQfEEKAaxhcmo9/E6vijT5nGu/NhbYChfYB6Tv/JryGYH0yW+h/cGEq9RKR9fdrfec1+EeJRUJyC5vJDtG3sHl+aq2Ag4jxHZPjBcs5D7DxRD2MDzF3aZjk20J0DlaAugcrQFUDm6ecwWlzzM6+ZgWv73BsDzBsRbH3v0DfmmZf+vpWMV5y+dQz0Lop09VAtwFa/Fu56uay9tP8LscdU1yu+vvANhHD7LXxD5hsHzGs/wOgrx+q6mueb3Tbb5UExDcly9C8HuzxBXQUTpnqjWU7mQpf3aE6BytAVQOdoCqBwdmDxeo++vHpIp0hdiPYBkfB6rVv+gOE7On5PXGC5S5u4Vot8i8vkKS5j9Lz581Qe+AHwsXePr6f2A4brDWTyIyoEo6SHqq5j/pj6JihPk/YlL/ofSti2cIziPjWje8jdEKB9BnAnbtJzABtoCqB5tAVSOTjH0KFcl+6IcK/WmiX7tESZfIs9uSY5FHSDn6l9KY5zRz9uPcl/9hvLexetp/4P0+wrO/fNZLB7wXYyjX5x74tVXfkCUm3l9Q64Tlfz58tcrDnAa9ot+hFLuQV43UDpH3FfxAOVBiEdpGa9/2EtzUN/n3JegeE5DxWgLoHK0BVA5pnICZ32O+27i/YRLueyrmP99DXgVk4sl+3gIefw87wWwhsk4xRvWMR1iD+8lqH66E4yX7xDj5Yv5gOr1M8v30KXzneB+jejLUI2E9Je7OA+Q8gRUR7BLv2dxjvg/UnpDKXageyJ9Id7XdezvIz6iY8zun0+/qTZQPEwNFaMtgMrRFkDleKgDRN93yUdfiunL16/8AY3xETw38ArGnSd/fazhX8fr6uK54n45lvA6fMnvZbweIPrXpZcsYDJxDufOy+3h2EtwVn3dCI+xn+E5haVY/TKmf4DfaPUjuMu0L0NzyXkaNCfpHtINxLGkPsPrmI5xjP0N5NNRj+Y9PE9BMZf2BKgcbQFUjrYAKkenfy7xWPp9pv3w6pN3htvWC3gO+wSLt99I44ywuryPAX+E+eFlAyt/cIzZ3pK3kum5jSybfoLZs9oG/VwE1RZI7h5gsX/JPMlt+Q4Uuxef4DyuS5RQ4kKMv80zXde/BbyY7sNd4J10rgOMpyCeK/e5LGG6y32m78kY5/vRPRTvQBxDfgr1DRL3ouIV7QlQOdoCqBxtAVSODqb7+0ZEG3eIK1Db54HPAF8EfgmTTf8Fq6n/MZ4HF3vblyD7Nc+nB/cZRM6da1gN3H1MR5ik1yGe96/8wY10/H2mawwf5YPIUfIXqE5C9ZG/kF4/j8nsrwFvYTWQb+C6Uc59SNgmfeUoO1/OJ7iB+z/20jHPpuu8hfMsqRZEulBDxWgLoHK0BVA5RuAyRrVy0R69wGLhRzjfzzkmf5bxPnYbwOexerwFrP7+CYyf5wT4SeDPMFtYOYOawAL9WPwZbnMrzhD5dzUv+dLfS/O7ks55E3gmjf0WpifcSq9j+nXy4L71Un+gMc5xJC4D3Z/IxxPr9qWn7KVznmG5EU+me/YnaQ5bmJ0/xusjD9I8tvCchx383iuXUXGIGFu5h/c32MT+Rm/Szxk4xWsKNPeGitEWQOVoC6ByjMTzI/889HmAzvHcu9hH7xSTY8rT3wf+HOPkfQr4CSwm/Twmh34Pk4F76aUYg+r95b+PPEOk8WONfl7bLn5d+bW3MR/7Qdr3KUweqmbgqDBWqW+A5Hkpj7EUD4hciOC9kE4wfuLbmEy/AXwOk/G/n+ZzL80h5hbcw/kI49x0f8D8DGuYLrSXfnsBu5cHmE60gekhH+C61QbOY9yeAJWjLYDK0RZA5RhF33KsBVjHOW/kCxDPbuyrc4TJupdx+aLf5b/+MvAKFhMQxIUjO7/ED7RCX65qruq5S5rjPiYD72Bx90+n+c6n3z/A/O5DcX5B85ZdH+9JvOYOk68LmI1+gscSpB9oHOUYyI+whsnkb2G5Aerdp/iIOPzFPRyh7cvp+h9gukXMjXgt/TbGdIjY50g6xX08J7M9ASpHWwCVoy2AytGt4bniguLnZzgHf6mHzRK2gvYxOfM08AUsB+4+Fqd/C4sBnOB1e1EWx9j/CibHFBeIOW8TPF8x5hBeweTdVprju2n7r2By7x3MD/F2Ord0CvUxWsB7G6h+figfQDmL4Dw/Q7WOS+n1SeA30nVup7koP/FHwPeZzgfownv09W/gfvxcnxnh9r1iCppz7FWo3E/VNrQnQOVoC6BytAVQOTrZ+znfXswFFJ//Udo38gBHv7j4+bewWMAllgfwIfCHmHyWzZrXxcl/oP5753ifIhjOu4/5fOuY738Nywc4xnWM7+KxefVAPKGcAyC+H8nfvJ9C5PERH6F6K8hfIK7CJcz//wlMR+qw/MjX0v3Ypa9zRA7/dexeHmCxARiuI4h8AVEvkc9ggucQrGF5GjdpT4Dq0RZA5WgLoHJ0q/Rz9EqI+e+RFzDyAm3idWcdpgt8FM9xfwuTY5JDwiLen0j2f9Q/pA/kPXbB8g3GWAzgQdr3GZwTl3TO2zifUTxvzkuQy+LcHzDEAwCeP5jnM1zH+weqL7Li9ffxfD9hLb3HvkFzeA9l1THqPu7jfhT9TWJvpBGmF6lmQPuAxysaKkZbAJWjLYDK0UlmLGHySPFj8Fh13uuulEO/nt4nOIePYgRgOsEcJpNL9f+bacxtpu3bPE/hEvdHKE8+r5ubx+IEW5iOEO3tUk++3H6WHC3FQOK8ShyJgrgDweT1EcP8ApLPuY6UczTnGNJV9DdVf8YnsDrBMd634Ie0J0D1aAugcrQFUDk6mLZvh/iBtb0kw8a4vS4Zo8/i/Yn2fA7532OOQYkjN8o88QO8jNn/b2ExdukYOeeerjPXYeR/j5wEYPqD8v5UF5j3O8rvlXSoVZxbaR3nEC71HlaeobiFpS+c4nJcPAcRa3gPJ9Vo5PkMY5xH+YC+Xie/RUPFaAugcrQFUDk6MNt9CfNNSz4q7i3/8wKe436J5/zHgZRvNsbsefH4qCZN8u0E7yfwJp4bEOv/c3mX5yd8HPj7GPfOrTT3HwNfweLsJ/Q5CGch77U3xBW8hPnUzzF5XtrnSjo+5uVJx4h5BI/iJRryhejvAP37H+e8iHMB5FjEdJsJ5pNpT4DK0RZA5WgLoHJ0+ZenMFmrPsKqCVyiz8sT8wTFLwCev/4Asz9jnF/8tMrTy3Pbh3j3SMeIF28+ff8ZLNfuVYwn6IN0LnEXRd4h9cyNfY9zDPXpE4b8B1G2zxpT/D3Kw9S9i7kWW+naDun3F87HjDUDs3AV5wneSXNZxWsq2xOgcrQFUDnaAqgcnerNDuhz/sb8Nnh0XLzLjlvB6gFU057n+UXun7w/UeyFe4bJsC1MrxD3zVUsJ/ATGCfAtXSOPwP+M+aHkJ0cz73EdJ/giDHTuoliFOuY3Nxluo9hfk9iH+FzPAZQ0jOiblHyC5RqItSvqeQriFjC7rXqEY+x+3kZrqOhYrQFUDnaAqgcXfyQc90J4pcX1x7Yyom8gfmg+j3Pw3sijbGLcwXmx+Yx9xwbWN393wF+M435Xaz+8I8xLn71y1MeQn6efGz10Tul3HdnKe2v38WBpDiC4uzxPMtpzBNcD1KPv9ibSDrTcvp9F7PZI2ehsILpSMq5hP49W8Z8N/u4z2OEx27yfontCVA52gKoHG0BVA6V7nHJsPw/x2xwcdiVfN9RDklGKrc+7vtBtl/pXDqH8vdI25fxfrx7mFx9Mp3nPvA3sDj9B5geoHj7mL69LI7iCNU+lDgIOqb5DJTnGCF9SLWOB9nvytfLfQ2KsahXgHDJtJ60j8t+5RCC6Q2j9F3HnON6mOo/814Q7QlQOdoCqBxtAVSOhz2DYJrvFlwmlXwEcd9lLDf/LibPVG+Xy1ONG7mIBdmsi3itn+SY+O8W8Fz4P077/8s03l9geYFx/pF3sAT5KyJXP7hf4Jj+dS+l8z9guG5B3MET+nyC8zhXj3L487lGjJjubaRx5Nu4H35XL+a76direF8HzS3neWhPgMrRFkDlaAugcvRiAXl9vGTUCl6TH7GE5+dNsPi/dIaSHxvKeX9xm+oR1nGZuY/F90c4T/8Slge4AjyXtr2LcQHsM503l+f+a5vmv4XJe3H73cdkadxXcx1j9vYO7u+QrqD7uJjmdojb5LPugc5R6l8kn73qMfKYzEV2TN5nKP+7Rj9MewJUjrYAKkdbAJWjyzmArmB+Y9m4N/C+OJEjCKZ5daIMi7In+gtK/EI5NCfx2ygOH89zgcnZT6TP72H2bi5Dh3L35rG8gjW8J4Fse/2vKNX/b2A6wi4uh5fSu2R9KTdPclw8f+B5ArHuT76PeI06rtTvWDkZUQ+IPRh0fZrbWbZfewJUjrYAKkdbAJWjm8dz9Idi/I/iCKTw2xzGk3tG2W+uGsJtXF7NpW1HuP9eY+Z+hQVMPznB/A85ct9C5PK7geUUdti1fxLra7AD/Cesv9Ax5lNQDv18OqdiFMqzF9fBWhpvL11Tfj9y5BzIszCH90cWHrc+MP/b5XpbewJUjrYAKkdbAJVjdE4/Xh5tSOWkySd/iMe3Y2+7DUx+ko2jWHyUmTE3Tz17FPdW7top5m9fxHvkxt6GS1hPoj2sF8AYeCnN7cO0r3oXgNu+iv1/CHwd65nzcvr9DdyXoNp88JpJ6PdVuEjzfjKNI3/JG3gOfsxvlE9CuQ5DtZZjPG4RcxdzHarE15jXaoyY1kFyv0h7AlSOtgAqR1sAlaMb2niJ9fz5FMYn9x62WsRx8xXKPm/VuYnfRrbwGib/7haOieeM72OcZ3AHj9+PMfl2Pzs2zmGWfbwI/CLwa+m1mOa7j+kGfwB8LZ0z8g7n8vQG8MuY/nEL4yl+HZPX74Xjctub8Jt8HBvp+z7T9QZDXILQrxsYyifQb3lu4wrtCVA92gKoHG0BVI6R8vlk467i+fwXmM0svvlNTPb+EJdpV/C8N8Xw98Lv4/Qetwnirol167Enger7tUrP8Xz4KN9GuK6g2IZyGCJUk7eC6TX/G/gy8A/S64103FXMtu8wPSP2AVSfw2PM56+awecwnqKX07avYzGFWbyEkUPhAWX5rTxG9SHI/Qf6XuJSUAyDwm/ydbQnQOVoC6BytAVQOUZ5rf8exrkzxursrwCfB/4V5gP4A8xm/RYmV96nb3/OY/bxfhpLeQaxx98JznUjH7/qEGLN+hiPx6s2UP0Koo4hfWEej0k8JD4I81K+vmrsX8A4BRaBf4fnALyWXlGHkIw9Se9PAy9i3MofpvmvpHfxIMr/r1rGXAc6xfP68ryLfF/J8DwfU8fovuW+glyviPxL4jpuqBhtAVSOtgAqx2iE57dLRkjWPgf8BiaHFSs/xWIEe8C303ExDzD2ytGY4tiLPm7V0x3gufDyN0h/UDxBvQoir55kXeTamQ+fcz68S1ymT9I1bKb9Xsd6DryJ+fN30vjq/3dJPxdAsfp3sVjJRzE9YIz1Mnob05FO0jUv4v0QlSeQ8y+Q9lEtpOaa1zQO1RiW4gSLYRz1JpbOF3MkGipGWwCVoy2AyjFSn99zTGaIx3eC+cTfxurv9oAfYPLpx5isPMbkKJhfXLGA3F8tvv97eP7/AW4jS74+wDmEr6b9Yz+iNcwHcQeTpTF/EYblY16veAR8CfhqOv9VLMdQsj7mSMqvsIb3C9jGYwYnmJx+DvObvIXpBpL9c/T1GtJ28Rzcw3n/Dun7TfSK17JKvzdj1E3ya49+DOkt8rlspO/tCVA52gKoHG0BVI5OeXbRXhQH7U9guXMfx3j5d4F/A7yCya5bmNxSnF2yeILX9ov3fh3n+DnHZJdeEYp7L+H+/xLfYETOcdC7wGxbqabuKubTlz4hbr3Iy5v3713B9IIbmDxdSdd4F8uX0L15FBdC5B4aqhUc4luSj0AxgRL3UuR2Fu/SIe6TaU+AytEWQOVoC6BydOD1aOLiV1/5rfTbOvBzWB3c+8AfYTbo7TSI8gp3fdyeH/pqGusF4IuYHf9NTFbup2Mf4LVzytGPkyzl1Su/YJZ+UOIXkG0tXv/T9Bk8JqEaQkH7x57Hi1ge4BNp2z08z24ubTuhH6+INZJ57X7UxWYh5gTM4kCK/g/pC7FeUdfVUDHaAqgcbQFUjg7Mjj3AZany8MaYLF7B7PffAf4UywNQPrz88ZI5T+D8d5J/Iyyv8LPAv8Bi71/F9IlXsFyDI7xWTfmDqhcY4bmDyo3P8+AfxZmbQ/uvpXOdpbnmvQXymvs4fqy3U7xd+4lD+Iy+LFb84wLPDYiYxSu0mMYUr0JpXnm/hzX8Xim/QnPR/g0Voy2AytEWQOXo9I94bWbJTfH27NO3I+WHn2AxhAPcjr+C+dk/g3HxvYnJuTWsxmAOyy/YCeOIE09yTvFv6QIxh1F5brPq70p8OrG2cIhfP/ZMANNR5HeIOXXyo5wwbMeLp1/5/JErSXoB6foW0pgH2XmUp1i61lG2b84rGPeLORTtCVA52gKoHG0BVI7uJmb/7uIyeB2XZ5IVUc7LVl7Ecwmv471sdjFZs4zFyzcx2fWPsBV3J+37F1ie4QjzBZxhdflHeC6e4tcR4inaTcfEmsIoX0fp3Jd4TUOOIf6d2LM4YpTOPZfmWBozzzmI369gusQOlguR+y4Uk5BecYjXRUQO5dI8FYM4pxwj6DAdTTEKaE+A6tEWQOVoC6BydDewuPc8Jp92meapE5SXf4Jz+i5gsX5wvv/bWG6c9INrWD39OiZ/nsXk8ncxXp6YRzA1QabtdJ1rJZ1DfMTg+XpnaY5DfYyGIHtbHIXyeeT5euo1cD1dU96zQHyGS+n3PTxeIL0ljqWeQpqvXmNM59H1xPyBqO9E2Z/Pc1ZfgfYEqBxtAVSOtgAqx8OcwDlcpl/DZFquC6j3TvSPr2K5gvIBHGCycQ2vF1zG8gGfw3sMr6ZxtrH8gvfxWgLl06uuTv5z2cCl+kMw/UOcezkkW6OM3Ehj7TPdo0g6xjFeQzcrx38NjwccZ/uWdA/1CJTsP6Gvx6xi+sURdo90vdIfHqXLRJQ4iIT2BKgcbQFUjrYAKsfDsPgNTN6oPn+MyaUlzG9dysHr8Ji5ZOAlJoOV33cX93Grxn4Jy6HfxmsKF3D5HHWPEX1+3nM8RiGdRDX6Jd93bgPnnDs58hyAeJzyE5QDIBtf85Xf46RwfBw/118UN9nCZP92msMq5jNZwfSmW9i9Vf5m6XoZOLfOW+qt0FAx2gKoHG0BVI5uBc9xu8A5/cRjKzkjmScem5gLeAXPq1dMeg/P2dNYT2O+gA8xLh3lDeZ9dMXzm3PcSz5HmzyX/Tp/zH+fA/4hJmd/hOk5r9GPret6IpfeECRHlUcZtw1hIb1LDosjWPdGcf2nsHv0cUyf+BGWR3kPz3lQD6WSX6LEF6ztih3Ea2xPgMrRFkDlaAugcnRRZgzF3ku9fjYwOX+OySTJw+cxO/ittK/8BSs4d662g+sRq/Rr6Sdpu+rtH9UHcDO9f4DLVfkyzvCcBdUfDOUC5tA8IldxPK90F/napXOcMawX5NuVuyg/gHj8FAe5jeVOnuC8A6fZGLl/QfGYDvPFaH7gXI1NB2hoC6B2tAVQObrcNy57fzt8l0yLMkbHifdf9Wjq3VfiC5ZM7zCO/TPMFyC53JsY032B8h4+H8W59Y9wvh/lBSzQ790rHeMC00mOsjEXw7nUH0gxe/jr1x/GvkXi5yldX4fJ67V0TeD3/xTz/at/ocaV7hXHk89F1zJPv96zpEu1J0DlaAugcrQFUDke5gMoH08yQ3Z0zG/L/cni75EuIJtYMhdMnxjheXqSVWNcjs3i+Ssht3mv4FyDm5gtvYX7HsaYLfw2LhfvZ2NG+TiPcRsqn0Hnina+vs/Kz4s1/dDXAZQvIe6jrTR3jbmA8S1NgO/jfpUc0ltW03nUz0A62TiNuTNwfHsCVI62ACpHWwCVowOX/8oLuIbn+CvvT/nzYHF11RGc4Nx1Je5b8Qnkcl69dSVDn07jPyjsKyiHfuh3Xcc1rK/vZ9O5vwp8I/y2l85Tsuvl3899I+In0jykPMW8Q+Ut5vMbignkdvkV/L5dYnrCabqG/O+hnAjpa2t4bYZ4jFQnqd6Hyic8S9epmEBDxWgLoHK0BVA5OvUNlE888vwvYfJ+h358W/JvgtWvie8m93XLXn9UHVuUa/K/D8nN6NuPx2/gHMdPY3xEzwD/A+tN8Cqucwiyk1fTb7ceMc9ZKNXlx56MF+FzPH/k7APnWtzEuZvUo0D5hDrfUGxiAfu76fou6Psz8nk3VIy2ACpHWwCVY/QUxtsn2Si7Xvan+vjJXpesk837Ft7jL/roo15BOm6Vsk8gxvrF3V+Sb1GGRh1BPICqpft1rMfRBOMleBPPEVBPwkNMdxH38FC/wYU0juzrxfQa4b0Q8l4/ykPUPcv1FcXqVRcQjz1Krzvpe6zJVK7GJW7HK1ajmoYlrM7zk2n/HwKvM9yPsD0BKkdbAJWjLYDK0UnGlPLk5eeOsja3wyNv0BVMVuZ8tjCdQ5/XI5TsWvkkHpVfP8H6HD+Byexngb+L+cffAt4F/j0mDxWbKHHpx/Os4fWOuRzPbf4N3B8S+QJVA6jjH1WDALN7BsV9pA/FvELVAsgfohxI6S0P0iteZ3sCVI62ACpHWwCV4/8Cl8jt2E73ypkAAAAASUVORK5CYII=" 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" 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" 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l3+Q3z2G6x27neAX8W0aA6w2Prn2L71d+nvnbVvlwaNdHmkjy/+/hjbV48J3UEw7Lsh9qijNOYdQiNXHED1Hc64mLmK0gCUn5J1+2b++St+vx9juYM1rBb/0Ocl7F3D9AWlYfTMfyvGsOqfndLXHVbeRL6MtIozh/Cuz2uXfj2kNI23fbxdv3/NaUboKZ6n8WZEreYq9m91x98/8PkqrqDYSrOKrS2Ayq0tgMrtax9AOjXij93xnzeAf4DFA76N4emnwF9gmjUHGJarvg/mawbB8Eq571zbP1Q3N8K4CKorPCL4+ZfY/risE9Acpum9R+lvcRmX01gXRBxCfYbX09ykI/S+X2/dn8ER8CPMzxG2ipt4Q/D7Ogy7z+hju+673LsrjrCD+SeKPahv8ENC41jPZahmQDwD1WOsYM/zTSwu8BjjGTyhfQNUb20BVG5tAVRuvdrALcwHWCJi2MvAP8L25+LZjbD9tPRrnncB8ebHBKdeNYPqBVTGscHwcNuvd8fPWcZwUXoDR/Tj6m9hGHnicxWnHqIf8Ft+7UMf4xzDbWG2/IgVLI7+gIhHXGL+0A/o8x0U/xgRsY5FOkb5nDK+v4L9O7xA5DkmWPzlFwzXNg6NA+FL3cV8ihWM06ExlPNoVrG1BVC5tQVQuXXi81/Rj69vY5zyC//9GRYDfwHD4Q/5Zvo6ygeIa7+LYfG6n39M1BPq+ncwHHyJ2LdLa/g9v/YRz+8fBH0uwoZumuDp6X6eEDwCfH5vAv8Qiw98jvXr3cUw9CsiFjHyc68Y5ucPzVO6C9l/WcUw+12sl/MDv+5XGHb/DONq5JiD7gfmfQww3FceZEL0fj7CfJ32DVC5tQVQubUFULnNaQRpDyxNnF/G9t1nhOZNl34P1aWfYxinwad+7imLbVp8/iYWd9/BcOsjzA/5e1hM/IcE/+CMxRpCusk8z2Wfp3QNl4h4wBXGCbiLxfO/5e8p/vEUi4kofy/+n/oerhL5hVMW+0lr9PsZjzG/Z53oPyBf6Niv+xTzBZ7XL6A06TGu+PjSdzikfQNUb20BVG5tAVRuYwh+vfLsS1jeeIbtu6Xhu0Jo8IqvJ16aNH+0R805gjO/xjrRP0D964X70v1RvvwU4x18TPT8ew3D6q+IeLZ483k+2ovn3Pgm/bp9afzoeifpnCdE795lP/cTP+YC6z2ovb3y+sJ99VC+Zn7/n2sgnhH1hiPCFxn7s7rvP+rflJ+teA3HLK590DNQjEL1CJ8X82nfAJVbWwCVW1sAlVuXcUlae1dYjLyjr3UjrF2lr5WXTVisOr1zQpfmmb+Xdfc2MLwVb15xCM3hX2O57AOsX+6HGEY/IbTy5Edo/5zvI+//t/0z8f5lipdLU0D3tY3tw6dY7EH6varbl3aftAKlD/QYixUMcRwgNAlVl7lM8B1mfs03Md7CF5jP8bn//ZA+v1D/JovyIstE38FTzM878ONbLqBZWwC1W1sAlds47yPz3l0968Vh1z5Sxy3q75v1dyH29hDcQJ0rXnuO1Qub38Iw+DNCw0e9flW3d0LwDY59XGntlZgonV9dDwI7lefQ/YoPKd6+8vyZ56fzVacIgftZxzebYiY55qCcxMd+/Jrf+wO/3hLmO32KYXeuxdS185xUCyA9gQvsGaoeUP+e4iK0b4DKrS2Ayq0tgMqtE5dN+jXqJZe59MISmTR+NggtHHH2Vate5uAnGNftiZ9zRuCrTNq2d7C9+iW2hwXD1wMCy/YGzt0h/ADV6peYLQ7ADeHTKG5wmcYa0jWW5s4R5iNdpM83fZwjHzfX/qlWQBgsX0l8TPkN4u4fE30A5POoJ/Iz5vkAyiFIX6D0f4T7ipPk+EH7Bqjc2gKo3NoCqNw69ZRXrbw0ZJewmP8llpc+wXBPOKr6u21CW1+4KuyXZp808pd8DOGQ/A7V/SsWrj59YD7AFsbBe0Q/x59xWvv20ofJvshSep37I5V8wSnRM/mK2Lev+7M48zke+PvC3hHRq/eavvay8vjiRZwQdYiKjVykY3NOI9dXKk6x6WNkDQSdq7hN5hDkHgVX2L9t0wls1hZA7dYWQOXWgeGaav1Vry8f4BnRP0+cdXH/D9NnOUct/LmH7c33CB76DRY/WCG49dN0vX36MYcrzAcQpspv0Fzw188IvmKObche9HGf+usp4YcI77U/X8a4CNpzyy/A76WshZBvUeZHtv234h4zwk9ZInT9FY8Qz0A+0fNqH5V/KesE9bd6B07S+/JpsqZjs4qtLYDKrS2Ayq3bwbAYhrllQ5r4L2OY+H5x7BqGa0/8nJeAX8Lw702Mz3fox/ygOLf0I4TLQ3OA2Bcrdy8u3Yi+b6ExT7B9u3QKxOXL8YDl4r4zP0KYveL3MNQPeUjzsLzHNUI3UJrBQ+coJnLPX+/6+aoVVI7hhNj3HxN9l/DxpTEI888Q2jdA9dYWQOXWFkDl1klXX3Vq6oErXr7q5jcwjHzMvC6d+t9pL/4Sltt+hPkAI0zjTjED6eN/xjxvbgjv8Wsr5j7GOAPa0yq2veFzWPfXEPr4ikGM0t8QvYK0Jx8RuYgrYm9+nj6X5iHM7/15zmfKCWReoOYqTYHS5B9lvWXFMNTPQPNVzj+fq9gMhM8hTkT7Bqjc2gKo3NoCqNy6dzCsOsTi5DkXrR5CpxjmLhOcAHHvVeeWNWwVi59i+LSF7WfXMZ/iGcaDH+K2CcPK/sLaA0uDR/lz+QYv+DUO/Lp7xL78zK+1j/koeZ4zPyb7QJk3PxT3V7xgqP5AvPyR3+8NwX8s+xvJl8g1jLnHIMxzFhRvmPmz0PM69Xu4rU5Q3E1pBoo70axiawugcmsLoHLr/j2GGf8vti+XlZy7EYbnwnpx4w7o792F3euYpg+E1s4uVuN+kI7NvfJ0nZLLr/3uNsGfU6z8deA7PsZ7mB+j+oGXgLexeMSJ/zylz0HU9ctevvk5SD9ggvkW6omo3MBluhflQRbdy5ZfV7EIcf5mWM2BehY8oe8zrGBxDsUQxI1YI3wiaTdm7YKh+5GfonxIs4qtLYDKrS2Ayq3734A/IXoCnDJf27dob1nq1634eyMid7CG6dxfEtiZewMr9v48Dpxq44SZ2xgmv4hh/W/5tX4P+FPCDxhjmKqefEsYjosDqLq9GyLHnusiJwT2Ky6hXMS5/9zxcT9eMHf9X5Z7Ja368zoh4iF6NkO5EPkJ68Qefo9+3cHQeRC9jc8JDcOsI9isYmsLoHJrC6ByGz/BcPVnhIZfxhPtdVVrv0No7qo2UPWEp0Q+e93P+4TYk68SOr+KBShfnbV372G4mOP2Vxjmka75up/3c4K7/6X/PiY0cF7060hriHR/1wRPf5PQCsR/S//gRcyv2Sc0la/9fr8guAM6V/wC1fnL9IyPsL382K9b1lWqVkKxAukqy4/J/sCRP09pGYsjKM0D+WTC/X0ijtC+ASq3tgAqt7YAKrexNHmEjeL7KWYsTUBh0246WXvqzMeX7RP8PfXZEy8+c+rFdVMO4QaLg+v6in0Lr3YwH0H49gqGgT/1817w99axPkNZh1h8A/EVsik+rnhAzoXcELoGv4b5Hp/6vT/1e31M9BY4oO+/rBD7f+kbiguQtZVUMym/QzV8a1i+Y9vn9jnmE6wRMRT1BZDJF1vycT5hWDOhfQNUbm0BVG5tAVRu3Xcx/JLWzFBMOcfHc93AMpEXV9/dI0J7/y62H/2SPu5rvG0iN35JcNchcgNr2B78EcFF0HWlryNNn3d8bh9imJ3r5OZunH78QbZGcARexXyOxxjWPyNw94F/dk304r30Y5SPX6HPm9B8MsdB81vD9vgjH0N+i2wD833kjx378dIOPPDrZt9DJn2AJaJX87p/1r4BKre2ACq3tgAqt26C4Y+w4wzDlimGK4ofL/v7RwTnfyn9SAdHNQU7fqw4/icYjomj//UE6HPe17G99ClR559Ne/ltn4/yCiMir5Dr+DLm5r2v8uMXmF+jGsn9gYek/XvWJHod0/W/xOIP6z7WD9Kxqpk8Jvb+EH38OqJ30AGRuxBHYpSOF99Pmo7yD6Q7eMO8fjL04wyae+mPNavY2gKo3NoCqNy6v4vtm3MuGgxfpUEvPp80/tQjt6ztv60uTbx61dpfY1i/7uM/pZ9Pv0/o8ZY189oT72HYOsN8glNsz67Y+xmBndISVi9D/DzpCF0QejvQ5yfkGPpdLC7/CpZD2cH6Gf6IwP1nWNxCeYfLdA/CeOX0X/TrfsG8VnDWRVYdoPSL8WvdJWohxecc+jcoaxBl7RugcmsLoHJrC6By69aYr40vNfCyKRewNHCctP+FhaqZK7Gt/PubmPIEY+Zz7a9h+/j3Cd67cuO5L7L20SfF3Ic0/oS7GuPcr6H+gx3WA+nbWFzjzzBepTSDy/24zslayqVvIz9Fz6yslVBtwB1/X9w+imNue67Ko8gnaN8AlVtbAJVbWwCVW/cqtnce0qeDft58Hdu3fgf4YyJuXu7/c1+6HP+WvsAVFgM4x3D2DMOyrXSOdAdyz2KNq/hE3qsrzvAMw84N/yxrF0HkEp6n6ztkqklUDeQ7GP4/wp5hvla5F9d9qRYx43zWKy7Pyc8w9wXW880aRzo2X3uMxQmUZ8g6CBPaN0D11hZA5dYWQOXWZd3fEdEHUPvLcu+uvjf6XH1rVT+YbQPrLfAp/b37FobrpS6P8veL6uNvBl4P+R8y6eVfEXGEE6L/kbiIt+2d82d3gDcwLsDrmB/zC+CvMd6jcHiF6JOUbcN/tjC+4QqWA3mMPYt9ov4R5nkIej5j7N9JXAz1Y8q8B91vzkGs0OdwaL7NKra2ACq3tgAqt67Mf0PszaHfxyfvnRfl/oXvykuXvXvz3nslXWeFyJPnfr1fT5TAbtXSSytYHDrV3mfL+sMQWryax4zo46P6evH7NLdNgjM4w/yad/23/IA/x3gVT4tno9xA6b+MMM7Du5h/9DnmC5Qci2xrBN8g7+GlRQyL8/6yV7D6yTdpWsHNaAugemsLoHLrht7cJvajwmRpBUtbRhq5wtJlDDunGL9tndAHHrrokA6/OAalrwD9GMGifbvi3muEni4DYw3ZEoHd+XjhteawTWj2XhC9d9b89ydYXaL8n+wnTTG/4R6mmfSyv/+Bj7UK/HfMp5CpP2L2b+QrKa+gWE6u4ch+AT7P+37Nbf98g/YNUL21BVC5tQVQuXVD+3k5BuX+faiPsI7P2LmB5cm1R896NfIndM1tIrdwRWj5lPy8KVGTcODz2Cb0BO/4OKqTX8X2yvuE3yBd/Xyf4urp/ZJrsEL4Fi9iHED1U9omNBD+CsPvMywWIs2A/TTOfaLH0i/5WN/zcT7Eejb8ANM2kk7QCIs1SM9QOs6ag57ZUG+AbOvY/l/X1z22b4DKrS2Ayq0tgMptLByQHk+uY5fmbNasy6bYwAH9HMEhhpkQ+K2attKf2EvjifMm3d27hJbANZZzlx7RMyx2rrk+pW/iH9zFcFm5fwj942Mi7rDlr68JnQFp9IofcYHt4f8x8KuEvtHvEb2InmBx/WzyqcaYH3GG1RBMsH35Yyx2co3FTU6Kc/eZ99NuyxlId0B+meo99nxsxTCOaN8A1VtbAJVbWwCV21wuQDX8Wb9Oe83bcAf6fe7LuME6gbGKXW8QnMJnmJ8gnyPXKZS8xMxL0B79mnk/ZZU+9760oZzC0HtTzEeYAP8U0wTYw7D8MwxLN3zOX2K5AHEJ5LNcYM9ygu3Hfxn4Pha/UE+iP8Z6H36F+QLi7GVNoHJe0jfINQnqIzDDYghHPt4U84nu09dPalaxtQVQubUFULl1UywW/SWBrYqPl7ijHrrSA1YufBfDHe2LF+USsi16T5gnLf0hv0Oahaot0HwVM1f8vdQDzr0QlDPPeF/y8LVfvvLriZMvncAdIpbxE8zHESevI7R/lZsfYVoGvwH8Qyx+8t/891eYvkGun1DPwhwD0PwVo1kmYhC6B8Uy8nsbmL8xTp/t0r4Bqre2ACq3tgAqt14cINcJlgdlvdl87JTAOfH8r7B9s/BQNfuvYj6CNAKGLGvlljbFMPdswbGLuA0Z51UXoJrAe/RrGHQvM/q6xqVfpP4+dzEf6gDD7z3/vYinPwHe9vN+A/gW5n/9lf98xHDMQmOtpGdwW41G2RdonX58QLWI7RugcmsLoHJrC6By6xSnzvtyYb5y+t+EXy+fYC293ie4eeqXq9i/cHwJw+E1LK6+heHrAYan2RdQ7UDHsLbAkE4RxXvbRL2C9uZZH3GN6CGsXoFDugRbPpZ4CeoBrLz7Io7eErYff4HorXSK+UV7xL5fufod4vldEv6FYhylLuNK+lt8gEX6zeJsNqvY2gKo3NoCqNy6DssPnxP8vKzvq7yx9GVK3Rsw7HuAceF0nrj5WStfNsK4cWDYl2PlJV7NMB9B2roaTzEA+S+qGXhSnJ/j/4rzC8dn9Pl3GRPv+tiH6Xr5uWz5vIf69Mlu0x5STkExCNX/qX6hrLXQePn3ImyXDT1P+QjiSbRvgMqtLYDKrS2Aym1hbaCwq6yVG8oL5HM2iBz1rRdmMT5CPy4xxE8Qfio3vo35HE98bspLKOaf9+VjAv/Vs1g9gdUfWNfTfnqGxdL3fXw9gzzukN4SxecTn3OemzB55Pegfk1naW6P6Pc0LLWXMo+B9L58C8U71E9JtZjtG6ByawugcmsLoHKb8wGGNHmFUflznbdM1ALovBmhJaQeNdITKvMJOT+v2nXtzdWfWP2Kh/wV7fNXid7EewtuVsdOCB/hnKhFUG2ieIDKCSiO0PlcxlhsIvsMJ/R7IssW6Snm90fp9ZC2YtY5HLIcN8j8x8zNLLUDN4j+R80qtrYAKre2ACq3boe+ll/G9o6on1fcfYPA9zUMSw+JfewdLJd/zjD+ZQ2A3kQwLC7z/PlzYdhd//vY57CD4dkj/1waBwcD1y9t088/Ax4Wn40ITsQy0V9ZMRDhM0TdwIn/PcV8hH2ijuHSP1/xc86J57BC9CnUvNWfUf5P9rNKrSMY9hNUAzHz6x0Xx7VvgMqtLYDKrS2Ayq2D0PABw1LV6U+Imn7tIxVPXsKwv8STch+b35dN6OcSMk9wkY+Q/ZBlzNcAw9hTjF8/JXQCdwkdQ/HuMk++rBfU++rpt+zXnGD7e8UMhkzx/bLHgeIYGkdaRYvuS8/2nD5HoDSNp3tQrGLoOUs/QH5RmVdp3wCVW1sAlVtbAJVbBxFLzj30phgeKQedOfniCB4WA5V4VeKr6tbLvL78i9J/UJ5A176grxewjen1CeP3ML29Z0Sv4pcw/Pt5mkfJLZAPojmoRiCb9u7S3RMf4cSPnxF6CdJJlPag8HeIG6la/aEahnyc6hZv6NcFDNVR5n/PIVvG4h/q09SsYmsLoHJrC6By+xpq1JNPNePXRExbOfBck679qrjs4gyITzeUG5eVWoQll25RXZ9y3lOsh6/y+BOsxl57ddXWZT18/a3aeOX7x1h+45rgMZ76uOqLpDHzHEZErb40gXIcQXPI+23lDtTLWPidz1ENoOL/4l5obNUvrvnfinvk5yTfqdRXynGCJaw+sX0DVG5tAVRubQFUbh0EH73E7RX6WCV+gH5rgBxjhtt1BKQpdMowV2BRr2KI+PzddOwJoX+363PewHL7yqsv0tl9BevdOyE0+z9O89K9nxIYncea0fd/lAtY9nO3/BodVq9wgPkZ8lsuCb7kEA9Cz3PDx3kF4yKuYnGNH/h11YuhPHdK5AxW6PdS1DHtG6ByawugcmsLoHLrXsDwQ7n0f4Dh4QcM174/wHDniZ+jnsFPCF6/etys0c8XlFx46PsByh1kXqJ0+0qbYJj4AMPxfawPz5cYzl5jXL8poU247eMd+ZxfxnAx1wjexXDyYZq7+JGar3T/pYGo3Ij6H+wS/APVKzzz8Yb8HvENSdcRF1H3voNpKnyL8HdOfdwnGB9SNYvZR5NJBwn6nMb2DVC5tQVQubUFULl1fx/Tru2wvvUfYnl1aeSf08eTFwju2iHmL4BhZ4f5Deq3l029BvS5OPezNEZvYv5bPESIGPoVoX9/hWG6tHaE2+qno/i/7mnT5yBdIdXsr2C+w5fE3p6B+4CIeYhvPyN6K534+y9iz+8Yw+hP033lGMoq8xwJ9QieYv82r2M6Tm9gz/kh8Id+zLq//nExx2W/hy0fR/O4ST+6l2YVW1sAlVtbAJVbpzr3HQyLnhK8f8UGbvw39Hnz+1hseuKffYFhZlnfPqHPmVd+u6xZ1/6/1NiX5TgB/vk2UecuXb8bhvkIqr1bwWIIOk8cwQM/b8//vo/5GU/9XqVv8MDfFx9C+YhtYk8uvYMJoX+g88+JGsIVbD9/Qj9/L92Fexj2fwvD8yPMDwDrU/RTLBbwlPkeSBB9hVRjIM6B+A7tG6ByawugcmsLoHLr/i22h/3K33ifiFnn3PEdbA+9DnwHw/u/wXrgao95wHxN/lDsW/1+c2w8176XvIJFHEHx+cSdm/j1FYe4SefqusJ7/RbPLuvsZM29RboFiqNrL686QMXipccn3YS3iT6BeawVgmcgTcZZOn8Le+4vEj6O5tRh+Y8vCG7BUhpDvkae8w3BV2j9Apq1BVC7tQVQuXW/heH4RwS37TGG7xOCb9ZhfoA09NQ358R/n/v5e4QOTclLVx29sCdr5J/6Z+Lk5/r9G2xPrri/NO/BfADxD3JdQO6dq2ufp7/FZZhh+Y01LKb+ZZp7ruVTfv7Ur79J1AUqrqBcwIk/B9USnNDXUJQ2UB7nhHm+4Qqh6z8mOIzrPp8nWA7gS38uuT7xnGGuoKzzY9s3QOXWFkDl1hZA5TbexGLYdzAMvMH4ZuKqSwf3CsOMd4nasz0itywcE0d/gsXEdzD81ko7xuLW4s3vYVh2TdQc5NiBYurnRG8hHSN/RZbjBYp3S+f/HNuvd4Su4ZX//QWB1/JR9Fu5h+wPaB7i6kun6Cv/bJU+x0K8hzO/zh3CT9glePvykY7S85z4/Df83h4S+f2HWKxG/tkZUd+o+a/5saVWwA3RC6lZxdYWQOXWFkDl1v0fwO9jmLaPxavFq9PeXrz5dSwmvU3sf08x/Pk28CfAewSfYJ/Yj7+G5bSPMaz6BMNM1RJcYL7CBZHbFm8g6wxB1CI+IHoSr2N58i8IbcPb+veWNYdrfk3t7aVJdJspjr/kc9/0ORxhfZDVXyjnMZbp+ym6L+UrIHIIyncoN3Hf5zkmuAtl/CD3QS5Nn+W+De0boHJrC6Byawugcutex/L7j7CY8iGGU7vFgcJF1erdxzD4ff98jX6vwG1Mo+8eho1bPuYE2yd/itUgnBC5bu2JxevLef4yH79MxOdL/V3x6YZ6BShGUeoTiCuw6p/pekuEnyIfQaaefhAahvIvdH6p36v3MudB54zTMbq3dYwTqJzHzzF8n2E+gLgMyoGUvAk9Q+G/4if582YVW1sAlVtbAJVb9xoWi3+TqDv/kn4N+RWWMz8hfASA7xJ70id+7pZ/rrj3K1iMQFj5fYzL/ns+5i6GbSdET5tjzIeQvu415k8oVqEcee9GiJzDXnpPe+IRlpcAi58rJ7/l42efp+xZkDUAxV2QCVs7DKfFI1BOIPfmO/D7lC+l8fM+fhN7fs/8HqVVeMntHMkhkz5Q2Usgn9++ASq3tgAqt7YAKrfxMoa576U3J8CrWKz+HMPfNaLv/Tm2T90l6t7H6XNpC4nbfuKfvwn8F3/9BoZz6rlb9gM4IDD0EMurl72Idd11H0O1DeK/l/1znhJxgBuipkB1kML2oX5FqukrsVe8A8X4cwxAdf7SRJj5NaUfNCP8DdXzq66gzAV0fp+5TjPXSA75BJeYj3PX57JP+Bay9g1QubUFULm1BVC5dRB9azsM6xWTl1b+axjuHGM4BFH3v4vhmnwDxcqVA1j337+N9ffZwbhs/xfw//n5qmcbqm8Xp09zUf+CHKuXpsAKt/cpUO+hoVx53huvYnmOZcz/OPWfS6JfsvonP5sbKfoIqM5hKD5f1j1cYTmRNQyrd4nYwyXRR1BzZWDcoXvRa72n99dotYHNaAugemsLoHLrcv187lOTa+vBsHhK1P+p1+3UjxEWilt/6b/fxWoPDzEs/xbGIfgbLOcAhskbGH5Le1c6gqrjl76PfAHhqPbuej0UJy85gPIbyuNWMWxUfEJ8fsUPdA3xIZcJDoQ+W/Ix5BcdEbV6Wf9glfB78HPuEHpLqu2Tb6WaiczpK3H+m+QHdP+572Cziq0tgMqtLYDK7eu+gepDd4Hl6c+IvsEr/voFDMuVS5eNsb3+JRGnFu6q3u0uwZ2fYPz9zzAczLVreUWu+esDzH84I/bEOrb8O/f2y7ZDX0s478OH6gek/ytt4Sf+bKR5rP29+Hab/rlqIx9hz0+fC8OH/BP1H3gTi5U8wHoXfYXpNnzOcLwhW34Wub+Reh6fLTi2fQNUbm0BVG5tAVRu3TLBZ4fQj10n9HJ6J2CYNSNy+TpvOb2Wrr9iC5uY7v0uoRGg/f4QHneY37BBaPVC8O+2fJzMz8u2RGgJzYgafo2xKGYgH0K5hTWf0y7h94iDoL9zPz5p+I3o1xDoumXuXnWFb2H1Gf+IqL14gvlJD4E/9ddlvUHJ75M/cezXL+9xgvEtJz5e+wao3NoCqNzaAqjcuqEXGVOu6eO0LHPgS5xR3OA+Fjv4lMgFSOsnx/lhPkc/o9+vbz99lvMXK36ufIfMHRjCSP1dYr98GOn1jgmf4S6Gp6pJKOehsRXfz/OhOD7rI0L0FXwXe16vYc/m7/txfwT8iNAwPGI4j6E5qI5yKN6gf0to+gDN3NoCqNzaAqjcxuL2Se831/gLMxQX2CQ4/AdEnLvU5F3FcOiR/4Dh2iqxNy71/Es/44x5Pt2Efi5AGgCq71Pdv/LtT9P5ZW8B9QjS52eELlFZTyCO5IuYP6D9ue5Lz+EC8yMUS8m9CfR/2pDOwQPgHeDXsTjAO1idxo+If4NTIgcjrqA4hzLxOLNfspLekxbSjOhf2L4BKre2ACq3tgAqt7Fq2R7S549DaOwrj561e4STm/6+fIGMU/hxU6L2/xVC8/YiXSv3Dlolau6Ue5AeThmXOCXy9PIpLoneOlt+3DGhCyDTvnnbr3FAX/8YYk8/xvLynxXn60e8vUV5d/Hwl4jaSbDYwmfYc1Te4tKPeYTpKf4E40/IVCOgmIRyF9JNUOxkB6vPOMWe94rfq3SPpFPQrGJrC6ByawugcuvexWLM4vJJY3/Z31P9fImduU5NeejcJyjn3m8wP+AsnTdlPj8/ZOrrs+2vP2U+/qD6fM1x7PO5wPyJI4Z5A+qvc8W8LvA9LG6gvLr8HOUMxHUQB0LcR9UMyoa0CkqTZoH6BL2KcQM2MOz/IaaPkJ+feBzZ8r+duP/SFNgk+jx/7uOq1qFZxdYWQOXWFkDl1r2GxboV49ee/cL/lsacOHhZi16aedLfU85euYDcbyjXsmXeQcklyHV8yu2L4waGcaeEJo/2vTtEHb/mNyV6A0HU1eUaO13zJv2spfPK3PsO0b9QnIYToi6w1BfKuZQR4SNIG1g1BW/68QfYv8czzAeQtpFqJq+IGoeyN7Cut+Fz28byF6rnlObitzAOov49m1VsbQFUbm0BVG5duQffIfLYwqtcR6Z99ZDlHLi0/Epu2jrhOwjDexOi7xvknr8QsfsrLC8v/FbfvRf9uFOizl/+Q8boIV790N/LaQ4XzPsswnHl3VUfMKRBIH/gktA7EHc/5wweYDh9DfzA7zNfT3yAnFOQrWJ8gl/2cd/Deivew7Sd/zXwz/x+fp/2DVC9tQVQubUFULl16vFX4skUw40vmOeQa7/8OoZnuWYN+jg5VH8v7r3i1aqdl7YwGBZOif2utAEV134ZizvsYzGKbZ/vU6y2/ojAZ2HxpY8p3V/ZBoHDqge4Jnj+Wb8g+yiqScj1DdmG+IW6X2kFLxM8RgheovoFy5dQDcZRulbpj0j3bwPzA+77OeJGvIj5ASdY/ifXCTSr1NoCqNzaAqjcbq0NzFyzMs5d5uOF50N7e5l6/XUE/2Adw1hx1i8I/BZn75J+zHuK8fOvMR2drEF0ju2jV33cI//9If26OOXSF2kFDNXdK4bxFf34SK5h1LnKN8inkK+w6tfOPoi4gBv+t7SFpBWoMVd87uIoLhFaw+JLrmA6ReI6jDEfaQurO3wJywv8wMdu3wCVW1sAlVtbAJVbN8VwVpismHbenyoWXsbopflzQezR5S+IB3ebfq3yBZnTl/l+HRH3L/UHs61jPsAO8M99Dh9gnPqn/rl6A+76OUM8xCHNIPkmqg8Qt0GW7zXH+mG+llH9gE/T5+pJrFqKkmupfETmFerfoaNfG6DYifIiqltUL6YzgueRfaBmFVtbAJVbWwCVWwf9Pb3wY43o4yvtWQisyn2CMh9f4yxj2LvPMF9u2y++j+2Npc9zg+G9sLPExSEeoa634/NXjl3xgQ7zBdRXcFGcIo8ljLyD6Rxt+3s/JnIF2Uq9Q2n/KM6hvofSGlYvwRxzybwAaRSqj/CoOEe9Gy6Zr3lYIrQM9Eye+hyWfF7iNrZvgMqtLYDKrS2Ayq17Dcv5C2/XMLz7DMOILUI3+JLQ0b/E4uyXfvwKht0lT32RHr9saF9f2hYRJzgh8g3K9V/T9wFUSzBNY1xgWKr6B+3rNc4d/72L+TYTH0/1hbnuXrmKKwyXsw+0gvEVFBPY8Pk+9bFzDmDIl9E4qgHIx4onIH1iPQt8jqpPnPm9igOgeMSenyMfp/EBmrUFULu1BVC5dRC6cZkXuEnw97P2veLiwmT1z7kNx8vcOszvoxf5Ajn3kOPwQzq99zANons+t08x/2ETw7+PMV/mamC8bJsYd+4tLN9xH9v/f+BjPvZrq4dRee67wLcxH0S5lh3M1/orbD+uer+xf3ZDaBGLh5Hj//l5KWagXIr8jamPpZiKdIekOSTNh8fpmPYNULm1BVC5tQVQuXX6j/LIqvEv96ebGA6pLrDE7AmR/y9xNeO19HWUH4D5XDgDr4Wj1z7Hc6KXoPbI8gU20nHqnae8+AF9yz6JePqvAr8J/IqPIY2eqc/5EeYLiFsgnB9hfMRfAf4t5i/9Nca/+4DofaT9t/yHXEeY8x6qk5Cm7xXzvlNpmse2z+Ucq9s48vf1/A9pcYBmtAVQvbUFULmNN4l9ovb6meOuuHHGzlk6Vjh1SvQKyla+J0390leYEjgnzVuZMPIxofEDEdfP45z5++sEN+CQ8HGyPiHM9ygAw80d4Pvp2H+JxdX/H+DP6ecDxMlXH4VPgL8B/hXwO5j/tA78gR8jrkPJ68t2U8xTeonyN66I+r7MqVSu4ZE/rzGhYwTDvlaziq0tgMqtLYDK7es4QFlnnnHpLlGzlmvVMoetNyDRV2CpGOslDMu+YDF3oCteg2Go+OwnPnbWzpWpX48w8ZS+n6A6vpyX3yRiEi8A/8Kvfe6f/QrmI/0Z1sP3U/q9lWR3fb73ge8R/tElxkf8jNDoPSX0BbOpFqDkPg7VMSj+Lw2FHFvQvYLFBKbEv1/u09C+ASq3tgAqt7YAKrdxR+T+VaNW5rj3sBi7NHek/yec38b2ptpvHxNcPeUZXsLw9SUMQ8H62Oia0N/j594DEBy4XHdwx6+v/ITiB9IzVt193k+X8XTxIFTL/wz4Q5/rL2G4/nNMY/8XRC3khD6Wao5bWLxghukY3ff7/4DgVSrfIh6j6iPE05MpZqC/t4g4vvIGmvu2/36S5qTn98TPXSP0isWrbN8AlVtbAJVbWwCVWweL+9qoz9wFse8dYbj4lMhha59dxhOydvAM48m9juHdBwSn7oiIK9xWQ6DVquuVtYMQvXuFj9mkqaNryPcQN06aRPeA38b8nj/FsPt7mP/yY+Av0vO4578PiVzCa1gO4PvYvv8PgL/E8gSnfv0S7/M9Sq9wiFtxmy3SOZLGg7SE9Jl0BZtVbG0BVG5tAVRuXanru4Vhsmr9yrzAGlF/9pi+DlDG11Usfn9B6Ov9mv88xjD0p9ie9CsidiA9n+xzlHvjzFfIPoPi6NLjE2dQ3L0yti79nS3/+9A/U25/E4s1qK5OdYA5h78Iq18kuBDK08tvkU6POI5P6ccUpA0A0TM5515GPi/8PMUVSk7Fko+VtQdLa98AlVtbAJVbWwCVW6c99atEvzr1yVHtnPrcQb9WD/p5dVnG7W0/53/C9sZnGDb9BPMF/hyr2bugnwvvTRKLPdxgOFxyBstrllb6McJG3fs5oWF85NeRXv/jNLeh8RV3yHw8PaNc95DvBcL/kL+xgcUUrjB/Y5d5ncUhPYEZoWNwQMQXFvE1csyn1QY2awugdmsLoHLrwPbM4udlrd6h3n9Dmj+Zc5dxahWL/b+B5cYfYzj5q1jt/Qz4j1j9nGL3SwT+Tghe21Milq/awCU/RlpF+fp5TuIxSGtPJl2dY2zfveHX+4yoOSwxd4hXn3mP0lqQTu9uOnaob+HQuGNC30j6vt/EdJ/ScND/3fvFcfla7RugcmsLoHJrC6By617F8OARhoHH9Dl0M/+tWLZ49eISPmG+b16OFbxN9Pf5HrbXHWH+wA+xfIB6Aj0jNHLuYdiumkPVt80wLFWP3qy1m1/DfN/hwQeA+QJLRK5eJg6daulvM3H09Sxy/YTi89/UxEuA6MOQ51v6Jar/y/EamPeDsjZxvlaziq0tgMqtLYDKbfyQ6GWnHLxy0ZeY7t5TAktzj5pHaaARhtUQMYVzrFZ+F4sHTLE9/n2/xk/8nM8xfFIOvvNjXsX8gEcE1/59og5A81iUPxjiDJbHbPvnZ5ivso3F4g8JnYG3MUz+BZE7kK7ykh8nvWLl//UspB1Q2lB+QliefYhsivvv+LU/JjQSlCfROKsEL0C9H5UjyM+rfQNUbm0BVG5tAVRuX9Pr1jH8UNx47L8vifiAuP+5Zg0MHzeIfHQe88o/2wTe9J8trNb+A4w3nyejXnrSux/7OduYr6DeBvl41bgJ93PPQnEIcx9C1eZD1AMo57CDYe0uUY84ZGMiVwLRs094fOTPY+LjqdeB5q0xNIeso5T3+sqNQHApFLMgHVNyJIb4GvKH5J+0nkHN2gKo3doCqNy6ZSxXf4XlwUsTtkI/zrxC1JaV+rt6P/el2cYw8kUMX2+wfIBi7eLQq2eR4gZHwEcY5kk7L+vmfpOeQ6VJL1A+hPbqHYa3Gl+1EdIeVLwfIoegHIX6CkP4QbfF8IXHi7h7spJD8BIWI1Fv558Smkm5X1DJ2ZDvJt2GPI9mFVtbAJVbWwCVWwe2990lcKnE1RxP3yJ60Ze8dTAMX8Mwcw2Lq+fYwIb/nGCxBe3VNd7I5/MChr8rmI+wS78mTzwF5SDECxzC0lwnr9qDzImb+BirmD9wQ+Bofg7iQ6ofjzQLFQPQXl9jKCYw1D9BdpPOVT5BcRbVQ4j3mDX+9G+SYx7iA17Rz5fk+YvP0TSCmgFtAVRvbQFUbt3rRJ5bvW/Ft3te398yp633hC8TbM/6DPMFVJM3wbBS8e8ZwfVTTdxLGP498fNVv5c5i52fJxyUxmHm4ZX6B0O8OOXQF+n2lP2UVPOnvXWO4+/4Mzikn29Qrl9+hXIey5jvse3vf0I/zq//Q2/jJEpvUDkU/TueMh8T2PDPW8+gZkBbANVbWwCV29c6gXmvWmK79qbCpi0M9/RaeYErf1/aPMJkYaDq8HLPQOH4fQwzT/1HPX/U81b178KzFazm8JDonfNNLdcLqL5fvov0B6Y+r0sCTxW3ULxA+3ntwzPWrhM6xdq/l7aFaQpu++uvCL9B1zulz3OY0u/7K33CNcwPmPh4a37uJxinMsc9NtI47RugcmsLoHJrC6By66b06886DEv2iNi08Et/d8Xx5b56G8PAz4m9O/RzCvI7lrG4+kk6ThpFaxjW7fl1tYd9nK6VtXXFQVBMQ5y7vK8uawg1/6H6gW0M7/cJ/Nc1x+ke9LOcxsp5C+Uhco+/O1ic41vAbwDfwfgYfwH8yH8Uj8l2z5+D6jLkeywRegfya+STXaW/VcOgXEX7Bqjc2gKo3NoCqNw6rYAVQsf+6w/9tzAsc9eW09/aG9/F8DLr0mbuW/YVxG+f+TVPmeeq6Tzp/yvOn3sA7vg4jwgsFN+97FmYx94muIjSMj7z93TOEsG9ky3Kj0j3V5qCZT4+1xLKR/i7wN/B8h/bGAfiCYb/f0lfX2gFe1Z7A9cG8wvUF0h6C3qu8iU2ib7Pml/7Bqjc2gKo3NoCqNy6DQwjbutfA8M1gbIZhi9PCV3BEeYXDPXuAcMrYfQJwbcXNi0T/sEEqxO4j+H1z7BYwD6La/fEgc9cAMU1hnojlsdnK59DrtvTPUgb8AWixuK2vr+vAr+OaShfE/yBP8Hi98LxU4Z5F7qny+K1ejNuYv6AfKYfY7yPnAOZ0b4Bqre2ACq3tgAqt25K7HOHsKbcvysGnrV0xcHTnr2Mm+t94dEYw6LcJyf3HtzB/IdTDM+k7S/O3hLwIeYDqK+B8HslnXuK4Zzi4NmUC9f7S4S+7yXRe1g8wiEM1rVGmB+l57ioD6NsDYvpr2AaTK/6PPYxH+cx8B7mU+n6ZW8kxWEufQ5rwHeJvoy7/nsvPQv5cKrrkK/WrGJrC6Byawugcstlal/vK8t8vzBeejvqQ6s+e9l3KHXvR8z30mHB59lWMH2+d/z1OYbnDzFtIdXlC/fVgxgWY7B8EXEG9J78j6EYgGwdw9lST3GV0DrQtYd0k7NtYH2U3/bXBz7mqZ/7DPOjpMukXoriCYI9c/EW5Ydt+c89Il6i3gfyg0o94fYNULm1BVC5tQVQuXWr9GP12jd/E5198coUY38b47YfMI+pDzDMLvvXlCa+3QMfdxfTMLrn4+35OE+IGoNsE8IHyDWE2afR3nrE7f2PyvtdT3+fMa8fIFPeYSh/AOY7vIHF66cYL3CC4fV/x7QQVU9xxeJ4AkRM4BzTX3rDj/+MyCUMxTEyb6JZxdYWQOXWFkDl9nUcYILtaff8dcYIafddYftwxfJlufY9Y+2I4KGJz7ZP1MI9ZpgruEbkqu/673cxH6MDPsX6BrzHPB9gUe48m+Z0TvDupMO/R9RElHl8xQyEzWV/njL2MNQvSM/knPC9xPdTfOWI0BkijSn/SHWJpe6gdAzWCD1g8RyP0vjXPodWF9CsLYDarS2Ayu1rfYAdDCfuYNh0SOwvtV9WTb/y9rlOYIgvv4ztTQ8IHby8P854uUIf98Bw6tcwfPyhj3cfw7JPMPxWv6MDbt8vw7AOoriLypMP9UCWlfe46JhtIgefaxU2iNyHagjy81PsRLqF5/RjDbmvQeY3KO4AkZ9QTwTFPcQPPKDfW6B9A1RubQFUbm0BVG5dqaNXYtwIi4FnnVr1ENrAcLg8b5PQ2le9ujj0b2GY/jGm7aOePyf+2RIWH9C469j+VnrGT/z4F3xuJ4SPgV9XtYTC4KFYAyzus8uC94f29TLt0W/o91aEyJm8gmkCHWIc/TNiXy+sz2Pr2XyTmo0JoT0oXybXUyoGkLmcTSewWVsAtVtbAJVbdw/joGnPKL1/6c/c1s8GQpdWMflSZ2CD6B94gsX0rzAM3GVezzeb9v2bWIziguArHGN5haFaxUXjZVMNgPbTi86ZYfe/jWH1HoHpylkc0M9JDGkiZMyWTyU95VwfgY+bn9kl83UN4mheFudK81DxFsUclK8p8yTtG6ByawugcmsLoHLryjekQ6t4sfb4Gasytqnfn6zcT6tm/R0CO3cx3DwkNHmkx1tOTrWFwnr1HFjH/ILj9L726Ot+fOY65nlKqy/n/C/p47RM8ff8f8rYx1rEmxzqS6A+w0O5g0U9DCD0B8tzR0TeQJrGz4g6SnEBdZzuY4XIHbSeQc3aAqjd2gKo3DqIGntht+rnMh6Kb7ZE9McTT+AG4+2Lh/6qH3NEYOW6/2z72L8g/IkS+0cEd+7Kr5l7Bcx8Psp5D527KG8/8dfiHtzH4vMzjEv/FVFDt074PqrTGzLlOqQtsEgbQFq+en43hH8hfoDsef2a9HyU8zhP7y8T/QE176H8xwrtG6B6awugcmsLoHLryr2v9vElz73c36sG7VMCd86Ifacwd5OoKbggdHk/JvbjOl59Ai4ILmLe5wvbrgn924kfV/oRMK9tmHsU4NfZTMcp36B7H+L5Q+C29AGHsFr3JU2kOwR3YREHI89X/H71AS79D2k1iW8hf2gonyH+ZlnPAe0boHprC6ByawugcuvuYNig/D/089W9g4m9+wzDfNXiDeniTIDv+XFfYHH/V/x6D7Hceu5XLNxV/L/kx2X8yr7LxH/reO23s3Zfnlce8wGhzXeJxRemmGbPHou5ghD9Ds6LuZU8APlI8oMUi8i9miB6HF37PSxhuP630WpYpI1U+gbiE7RvgMqtLYDKrS2Ayq3TPnRKaO9lDFeOYBGOiG+m3LKwezmdV9bHZ47a2I89yJPy32U+febHP11wnHjx50SOfYbxEq8wH2SC1Svex/ySfaJXsDC5IzQHs9+zjmkXy6SlpFqAPea5e4rBb9DXMpRvoOcg/T7hv3IDek/7/XW/5iHBO1TcZozFNRQvOcNyG4vqCsS3aFaxtQVQubUFULl1K/Rj1kMYJi3+HOfP+/Bcdz/C8O4M24drb7vu7x8S/QRmRM667Feo3MCUiP3nngK3xbyvi781P+URyprAslfQJL2vurozouZQ3MhFGsgQOsi5VhCir5/yJvJjZlj942uYD/AJVjt5hsUyJphGkvoxXGP+xCH9fghlLWP2jzLPI/MHmlVsbQFUbm0BVG5zdQEj+rV+em8dw5uM/x0WS9/B+tIJK6HvI6z5ecfpsy0CV5WHh9DXyeOIh7iJYetpMZbqAXIPHOXLc23DkF6u8F/78RF9PB3yi8B8k0vm8yVDPP8hfl+uTcifbWFY/yYWp/jIj9nyMfcxjQTNWTGArL1UagcMxW82iX5HzSq2tgAqt7YAKreurO0bwozyGPkJp8Wxd/33UyI/vYrFz7cxzsFnDNfIab8tLqBs0Z5dPIRFWLyM4aZ67+R7UW+dKdHDQHUHihdofvIbZn4vJ/T79qgW4I6PqbGG6v3E+dM8JphfdUn0Epz5OOon/ClR5wf2HNcIfuFlGld+QFm7qZjIBpYHkTbCPu0boHprC6ByawugcutKHr9MMWVx3oawWFz93J9Hpn24Ys9DPQNV+3dK7O/Vm3BMcP+7dH4eo+T9LzJx927SmIofrPu1xEeQbyF+g3LrEDmTLo2jOsU1DLO/SU8knZO5FlcY9iuPcuDHfhertTzFainkp+z6HM79s7zvV9xhyAdRn8M1zDdr3wCVW1sAlVtbAJVbp73rkJU9BYf64sqG8vPZvyj7C+hzGOasPa8+Ps+h9As0n0V1j+V5Ob6QdXUvCT/lGeEPlBrEq0RcRDmUVfq+wtB8l338Nezf4BTzDeSfiB+o/j7PfG7qm6heTIo9wLweYL7eOlFvsO2v2zdA5dYWQOXWFkDl1r2F7SXVDzDrycvUg07a/b8gsOkSi/0rLjBlHvcg9qdD3L+/1YT99xAH73k+Q75exnrlH6aENrDi+X9bU4xfXETpGi+a5xq294fgRUyJ/kLCdIheDRPsmT/E/IExUXeQ/TlpP+vf9RLL17zgx5d5l2YVWlsAlVtbAJVb923gA2IPrFi4MFv6O+L1bWP49vA5Aw9pBgv7VL9W5tal/Sd8Em7l/fo36d8DwTu8IGLlykls0NfWkzbRuV/jjKhx0DHKbUDU65W5ifKeh7T5ymdRvq97UgxAWkHvYs/tMfbMxNH4DKtJLDUEhuIusjeBf4nlGNo3QOXWFkDl1hZA5da9hO15M+9sSvSaAVsl2xhnTZp1uX8O9LX3ehegj0WLNHe2if03GP4tE/vaIS3/zMnLNlTvp7lA5MOl2TOkbyRTD54p0Xe3rH+Q76K8fq6bKPMUt8U9tO9X7eEMw31pIM2wZ35I6DSJyyB+Z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" 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sH4gSdYPOAdDP8f43ER5QCkg7jPcm7lCK/tV81/V15A81nFYzOX6W/FXrZwToDG2Kd+AxRvdQEUbnUBFG4NLK93azAcuY3j17302RzXq+nKSwtv9Cpu/yq2Z43XuonzDsXRE+6PcN5+rB1cw/2HeyzPIcyxOIb65YkfdxPDRzB8HeIa+59jffYusVhC3tsIzB9SDGIjzWMb1xJ6huUCtjrmBObjiJe3Qxubu0zzlk6hfBDl+x+nnxHGMdzA9/xn2L+dNJsusX8D9SuoVrDVBVC41QVQuDUTvG4+x9EbGE5Kh+52+v19LB8gzBKez3BOgOIJ6jkkH2KAYddTDPPVm1hx/6iD25oo7XqErlq4/DhZrkVImtMGrsmvvLt6IOykOZzjXMAznPcgHR/lDC4wHcRjXNtfNY7qRRC1gv4hpviF7mmefj/Eez1JT+gEz2FIj1j8gh7eY7F+AxRudQEUbnUBFG4L/QKizYCvYzX5U6xW7RNsD7mO1a2tYvhyF9ermWIYH7FO2jbi1t3AsLIrZh/5iNM0jzG2P4/xA2kQdXEZcxtjmB/nKh0j9Uh+hPk8fbx+UH0P8zHFndBeXjr9XRZrEKEdN9E+PvZPkr6PfLKuustZ+tnEfJgd7Jlv4/kK5T2ixrE0mKOfVq1gqwugcKsLoHBr1QVc4lw8Yft30983MVzaxnhuP0/nKU6f56qlyZPX2EV81/5ZY8SYwjCc1xXjfwPnvD9g0ZeI/fGiTXGtojkWqz9JY53iMfddfI+/Qzs3cZFdT3EC6SlGPcI81x+1j9UzWP6BeJNXaRDquYnLoJyC5n+A93DQ/cqnUeykj/lEVR+gWl0ApVtdAIXboI9z029jOLSfflaAn+B881UsTy7d4AsMY07wHID25MLMXC9XXPQpViMIbZwWd04c/c107c+zid/H9QejaX9+ns1B/oQ4BeN0j+d4/UDub1ziHH3hujh90c5wnV5hel5/Jy3iC5xzqDzJCa6buMzUI2kF1zHU8dM09j0WOZun+H5f56t2ofoA1eoCKN3qAijcGjAcOqS9j38Tw7O3sPj4O1is/CGOeS9hWHSE55svcK6e4uk3cbyF5ZqCX2ayUX9gDcNTxdBz7M1j+IM0lz7tXr2beC3EIyzXEWsDcj9G+ggDPMYeP9NPlz5gnM8U11E6oPuZzLB4hfIe4hXoHqJG02p4P++9kPdGUuyifgMUbnUBFG51ARRuzQTTunuKYb3489pvKvY9wrDqmPZeeor3483j8TM8Vx57Eiv2Lew+w+Pap7T56l21CrEv77K6OtU6xD4Bm1gN3xjjNWyl92PdfqxluMo2MWwWf1B9BqRHlNdKdOks6pqKEzS08wjxPsjmtILHS6RLEC3eQ4yD5H5U/QYo3OoCKNzqAijcWmHtyJ8fYXj52xjOPcPi8dcxLt/HGMaoZ90Kbf0/afAMMA7eIYbxL+A9b/K6Ql0/x+C8129eR7eWXvdo456Oez1dSxxEcQylfaAxXk/38TAdqxxBXocwDe/l+/eY31dcRBbvK/YKOqI7ZgD+bOUv9TBf7Ua6X2kYStdJPAPSvWkOXVrDGq9awVYXQOFWF0Dh9twHGGNYs4Prykm7D9qafRFDBniN/D0My8Tn0/5WWjXbGF4dYfgV8/U69jgbe4bHH3K9nvxGYt+fLh6hegEox3+RrvEgvd5K594L5yuPH+cl/cSoqaC4yTmO6dJfFj/hNF1bdQhb+P5c/k+8D83zAMNy1VgqryLthKjZHJ/baprTA5ZrJtZvgMKtLoDCrS6Awq1VF7CC9737GHgRww/tlePeOvL9I25NsBiA4gPSFtjD+enSt92mvT8VDko7/wD3Gb7IYgwjah6A577FQzhP47+CawgdAR9ierqqmxe+59qG0Ro8V7+CxTnOsNyK5jDHdQHjvv8c9wnO0/HytWJuJNdfzv0c5Tui76Tf45xjvwNxEus3QOFWF0DhVhdA4dZ0cdhHeI3AYwxH1vB6uSM8ji1dfo0xwHwAadY/w/Dwevpcffu2WOT0y8b4/lY9ChTvBsPNWDff4Pz6rjx83I/fBF7D4hL30nn3gQ9wjpz0f3ZxnydqEOg5RR8h+jIjPKYRaw7jXObpd+kPyFRT0QvXG+K1gIrvxx7LyzQRhtizVK2jfLIxrj1cvwEKt7oACre6AAq3RlxyMEyIfeqGGJYPMJyUbs0cw3Xw/X8en+9jdQNT2j2GxKk/wvyDiI/S5HslfaZevxHjuvB4EOYiTbzoX6jOX7H2OaYvoPrDR+l+op5ArAkUbh7j9Yzxnlfw3kjzNHfV6K1hPQQusZiK5iXt5DPasfwuPI99HGDxWWt+kU8ZNZbECdDrEPPJahygWl0ApVtdAIVb8yJWC6dc9S1s779HNx4pph3zz2M8xrwC3MFwXlzCEfAyxg2ULnAP1+iZp+vnnHjhbD+Nkde7kd7PY/Qabz/NbZ7uSfNfw2sgtJ9+gOc2uvj74j00OPdRsQXFIdSPD9r4G/0YjS0/RlqFJ+k+Jnh8QNdo6O7JoGcknoOuq1iGagR7WO5Dfsw27hPVb4DCrS6Awq0ugMKtmeE4ISx9BcOc+3hP4Lj31J4zxqGV0441cBdY7F1+Bnj/ui3afkTX/n6Z3cHy7spBzHDMlyZB1NDvyuPrmqsYH2AX81cmeB/EeN/ybZp0nLQDr6ohlC6/8gLq6xf79vZwPd8jnLs3wvbqPQyz9f6dNN+t9KPrH+G9HvdoayWJo6n70TMZUb8Bire6AAq3ugAKt2aG4WXMP8c494sYLn6U/hbn7xDPl8d+dOLKz7D6NWnTN7je/xGGb9IePsL5akPaNQjRJlh+QTz5OeZbdPEKYn4jmvj26m8kfX3V2E8xv2WYxt6mjfPrWExjHeNN3sP9nn740b4+Xld9E1UXAY7/0j0+xXUZ1jGNpgnwbpqPeIwfY3GVaHnOZIJzDxVLmaZjnuEaydUKtroACre6AAq3pkvP/gLLCShfHz+Lmv65dr56AQl/wFbYGMNSaeKqpj7GuZUbiLq9XbmIabjmGO/bozGkIaR8/AjX8hMmK16u2P4xrhM0Cr+Lm694vuocz8N48l3kl+g8xVXyOIGeWf6ZuJlTDPc3gK9imP8pptOoHId6Lh7g/QGE9XfwfzvVY+jfR77GNL2neEG1gq0ugMKtLoDCrQFbBdex2LI0dL6HceXv4T1mVCN/ideqK+8svj+4buAarhugmjydI46a8FI9c/LJdfHdlWcHy+vv4337mnRd4bZ4fbnW71V5B/H3Sc/ilfR6D+MNnGN4PMVwNtbeK76veEhed7HM1jH8fhvXK5oC/wf4EaZbJN9BuZgeHrN4jO/rl9VbgNcNimNYvwEKt7oACre6AAq35z5AzO1rLy2tO3B8n+K59miq4RMOyU/QvlpYnOM8LNa3R7tKt/c2hn9btPfht/DeR+K+aU/fT8eq5kH+SvQTtFfuYbyDVzCcf4DtnQ/CfWyk113aukLylVbx/8sa3F+RqY5hiOVdxMv8KtazYQL8DPMFfoZrJoxxHoTuO9ddBK8NHON8BNUY1jhAtboASre6AAq3lg8Axje7jeHdEwxnVN8XfQVp3SlGfpyOVZ3+FNujv4xxCX6O4eUG8BmLte1RZ0j7Z2HoJc7hP8NzDcI/ceMjxzByAWM8Ic9n5CYt3rfStR9g+Pwy5s88Ttf8CN9vq1fvVf5K13Ui3/A2tqd/A/s3GOP1C/eBH2KcAP07KA6QY774CIoV5L0Lcn3D+g1QuNUFULjVBVC4DV7B49mneG27MEJ9hKGN0WNcH2gDw60P8d5Da9g+809xDNrD9uxRs1f6eJdYPmKC9y0C78cTYxLay8umGEafYP5FnvuP8QW9L668/AEdc5Hm+GNcs/CbmH+jWIF4+pfhWspxKC+v5/cSnhN5jPdZVH7hYXoujzCfY57uZQB8BXv2yqWIxyBtpNzfkDZjnEvuI6hn04yaC6hGXQDFW10AhVurZ1DcO0ft3a6edysY7vdp9689xfBtDdsr93HOXc7RH2IYu4Zh0new/fcHmD/xMV7Xn5tq39bTNR6F8fO9vrBzTLt+X6+xXk7vzbHY/K9guoJ9zL/4awyTr2Mx+3XMH/gMzwfM0r0d4lz8Q8y/ko3SceD5AfEyxP2XnnKD6/7fT+espXF13hDzi3IuwFWxiQ3qN0DxVhdA4VYXQOHWxJ500VR/36XLA15jJi7fKP0cYnipfbPOl65+jzYOXwJfA76RPl8F/j6Nfx/zA44xHyP2Js6xTX9LE3CZNoA4Acor5D37dB99zM9ZxfbyG+nvBot1PE3P5yHtWoZ4X4RncYlrFyh3Ac5VUG5FtQGvpHmoB8Eh1u/4U1xj6ap8xjIdY30ufkT9Bijc6gIo3OoCKNwa4WR8zfl5UWM+703zAoZdN3FdwLy+v5/9rni59q+3MMz7beCPsL3/nwO/AH6C7X9PszHEQYh2FfYp5jCkvR+/jvMKjzrOlV7Aajr2JQyn38H8E+n767qKx8e5KQYh/+QZbR8hchnUe1D6w2cs79nYdd/RpKEsXmT+WeQrVivU6gIo3OoCKNwG5xiOP0hvaG8fceWMtk6+9tADvD/ew/R5H+MDXOL8eXHXVJMmk7bwEPg+8IcY7v8NFlt/E8OuXbzeH9xXWcW1BiLPbYBrCyuHoT228HM1Hb/Hoi8xxDmHh1jsH2w//1l6Vg/xevuI0Ue0EywNljMRnotLcYxjdORQqqdwjJVE3M/xX7kU0vjicvTDe7nN0jnr1G+A4q0ugMKtLoDCrVUXIEyLnLr4uU5Q/znhywzDr0d4jSA4L11agXGP3MNwaDON/SrGgXsR4xGIa/8TPAeuvH7UIo6v0eTHrIaxoikWPsR8DPVCOsf8AvUBkJavYgXge3XdX8TlOe4v5bas/4LGmOB9hp/hOkPKCUiHIc/PTPB6jK5r53ECxUT0712tYKsLoHCrC6Bwa4SpOa4LDw+xXHis7Rd3TRz1DVy3bhuL7a+k86VXN2AxHq3rfDeN9zvAvwX+I/A+hrk/wDBcPXP1s3AjuDau4vNdpnqEdbxv3yMW9Q7AcVfYvYLv1cVxPKbtH0WNwCke589r9NR76ZTleX3NV3EP5UDW0jmxZmPZueB6hupNpHjEnPoNULzVBVC41QVQuDX5L3Gf2lVL/xKGg+/hdfyKu4vPdoTz+/ZxHDvEsC/2CVQefAP4NobNP8W0Ca5hcficCwCOpxtpzIiHkQsY9QZ0f+I0qK7glMVew6qv0xxHuG+hvgbi86nvMThvULUOn+KaBl15/NU01k66zpB2fb84izH+MqDbZ9GY0PZLhuFvjS89ofoNULjVBVC41QVQuDUNhoMbeM/gaIoNRAwTrg7DZ9r7gueno3bODMO4Lp3AaF/F+Al303zEgVfvXs0h7sMnWE7hPB2vmDm0cwRdOoRguD3haq0f7dvPwmfiTwqXVbsgnUXlKFTbN8E5EnlMRH0Humo0uuab5yBWcL2CL7K1NB/1i6xWsNUFULjVBVC45Wn05yZMEx4u62MvjFM/vONw/iy9/wiPeSv+3GB5g7wuIV5/gO9ZxemP11gHvo5xCFSHOMViCD+mjYdzvCfRIe29uyyPH0DbFxBXX1grjM/HmeHaCY/xXMg0fa58hbR+unwT1RQ2eH/GLsv9lRHma1zgOkayrt4F9RugcKsLoHCrC6Bwa9bweL1044Y4D78JPz08536E89jEhY86fhEXcx6heHYRA3MsE+//KL2f748HmJ7QWxi2/j3GHRymz57Qjml08eJOw2cDPPcvnuENzG/YSc8jagitYBg9YDEvr16DsQ4hWnw+o3QN9TeQrxXjLOJUxntR/4bDMKfYB0n1iFFHOfIz41jVCra6AAq3ugAKtwbaef+IjbkJT7Rvjxia71Mj11DXiNoCkWcnv+MMx7QufR/tww/S+dewPnvyKZ5gtXvKS2yFOa+wqAcU8T7P18c+iSt4n8MYF5lj+/1T2nqG0j/IuRXSDFRORLUSp2ms9fT6CKs/jPWOXSZuhGo65KdFXaYYz8ix/4L6DVC81QVQuNUFULg9rw3UXnQTrzM/w/biwuZl+fToF0xo57uFreqzG22Zv3EjnbON9/CLesTS7XkJ5+xdw/rurOLavb/A8FTW5avEXrrRxhhH4la6r900Vsxf5Pcvm+FcBV0z94XEL4j8iK5YvbiV8d/gJDt+iuX4Fb9RDkDPXrEF6TbLhtRvgOKtLoDCrS6Awq0RZkIbk1doa9sdpuPy/X3cz89xnpnwvisvIB7iAMP2cxZxTXGBXsf5kZv4dYxD+PcYRkuj6AzTL1qmcyBOgurvweoTb2M9e4SZl1iO4T7wOV4LELUJuuame5feQpfpGooPxHs9pN3POPZsiD/yGfJ+gHpvgj9T+SX5M6lWsNUFULjVBVC4NeB95ZWfhzZGxph5jC3HeLK0ALsusCwnrvfXcU7+eprHBbbXP8L8hBjfvsRwfj2dM8Yw9FsY7qvHLjhvIc5tmbZug9Ul/DPgXwP/EvgL4D9gdQr3MD/gWce5MwzLd8K11EtZ96D7VsxE/D3S/WmuhGMVQ5C/MMX8ozn2zMQXVB/AC8yPGWJahvdZNPEfahygWl0ApVtdAIXb87qAWO+3iuHrIca5V15A+2rlssFw6RaGfV16NbEnkfAv5gd6tLl70WdQnyHh6BG+V1Zt/Y10zBGGecpHXE9/P2E59z6aePtvY5pFLwE/T+OKc/A3wP/CeAbLfJv8ffEo19Jz2EqfC3/V76/Lf5JJqyDqI61ivs8Jzt+UtuEKHsc5x2sh4hzBuZjVCra6AAq3ugAKt0Z9fx7SzltLf3aO4dc1DL8+x2MG0tmViaOm+Hfk0uU2plvzr8G1BMStk67tXvhc8QJp3jyi3VtQtYXyV+LefxrGk76B6hBvYL0L3sK0i19J5/4V1ifoL8Kzive9TJdwmeW+wjKfostijIY0d+U/1CNBz3c/HKOYwykea6nfAIVbXQCFW10AhVujHH7UkWuAO9jquIZhza9g2PkI+FucH7CLYfSvYtjyPm1OwRDv/btMY2BIO14fNXejDyGsHWF5ginwS5wf+BCL1ytHoD5GV9kKHl/vpXFeBb6Da/F8hsUEHmOxkHt09wmOFvP3y3SSY+ylR5uvpzyAnpnmOsD7M0unIMY55HedhuPV16BrfvUboHCrC6BwqwugcGsUq1bd3JvYPls6/3MMRx6m95WbVw38efr8HMPPJp27TRsfl+FcPB8W98aK/W/iGnubeG+i9fTeM7xuUFp+XfWKMZce9XY3sb3zKs6j+y6G+T/H8foB3htJ+DvGtQLE4zsO81evwDPa/tCXiR0oDxD7OOX6TbIhHkM5xPy3m+ma0mkiPJ/qA1SrC6B0qwugcHuuDzDHcHsz/byE4f0K8DrwBhYL72O9/BSDf4jtyx/S3o9Gzpn0afLat6gdFHkC4DVt+lyfKQ4wxvB5jmHdapr/FoZ/XdqD4DUAyzSLFTN/I407xHD/wzSu5qJYepdtpvN/DfNRnmDxkV+w2Pcv1u2R7uMynRPnJD8gajPr/17VT8a+ALvpHsUjnOG9khWfgPoNULzVBVC41QVQuDURdxUXn2GY/m2MG/8VjAu3je2f38E1e6/jPexUE3iA5dHvAB9j8XrVD4LhoHTsJrimbp5jv47XxIsLcAOr2x+l93fxvr7iLpLGjbF2xQWk23sDix2c4XnyPq4jHHUC1QPxAuPZ5xw++TCr4Xj1SFbOXfmOJ3jfYcUQdKyeiXgSed1hXosIru2wku4/xvxjr4e8xlLn1m+Awq0ugMKtLoDCrYH2/nyYXvvYXvYVfF/9ORZbllbO9fT7HN/rH9HmA0jvP+83RDhGffCUO8/36D2Mlygtg63s8yGGnZH/pl5/wnVo+zobaZ7qMaTr5LGMvN+v/IVtuq2P6Qt8D/OdtrFndIL5DztpPnu0exXmlmsX5T5A5PZfZTpPz1n5CM21fgMUbnUBFG51ARRuz2sDr+P76lM8z/4bGEdO+vg/wDBtB8eUN7D97WM89n9V/7sxhj99fE8tPSLx2eQTRIyb4j6F9uVdtf6KIShvsJ/mm/fZA689EL/hgsX98k3MB3mcjaNrr6TPb6X72MNq9K9hfsAUy5/8HeYHxH7Aa3iNQq4PIJNvEuMaymmM0o96Me/TXQuZazXHsasVbHUBFG51ARRuzS3a/Hnl0FfxGrIpjjV3MJz5BO8N2GAYJk3d2DtQvf6W6QRFXBpoUrR7Eazhde5gODvHcTPqG+b6AvqRboDqDJ/g8QHV2qmGIZ/rlLYGcheXoEnHXcd7HJ9gz0oxA/UsiPH6XpqTegnCl+8RqOvKZrT7MsoXkG+gvsbqXyi9hWoFW10AhVtdAIVbE39Rr75DDB/m6fcphs87OI9fe3flrpt0rrRsYr9b4fAA798rzd1cd1/7XfXc0V75KI07wHWHNP4q3ndvWe5btkwjULiZ9zVSH4UTzA8QjkdNRdJn4jGqrkBxDWkHTnF/SbEH9T/S/4mjNLb8gWXxFPlB+7gvo/7Ip2EOffy5g3EzpPksraVqBVtdAIVbXQCFW7PsTeEZ2P5SfXCVrz8JxzXhvKv63IHhdYP3BO7i1l1m72l88Qe3adfOaxUrPyAOX1efXHHwYv297gfauoa5KX+hnIF8GGny6V7meOxENYJP8N7AMyxv8CrGS7iO90/4APgUeA/XT+56puI56t5jbOE6Vtexiek8nmD5m12sxkH3e0D9Bije6gIo3OoCKNyaCW0dWZn60N3CNHKk59vDMfY0HSO9W8W1VZP2Csbfi/r6igd05d2151cdQOzvE3Gwh2HnGNtj74Xzl8UA+uEzjaW+xRdczV/Q2NDWSFa+JPLspKegOUgLQLq9imdIq/AaVn/wdbw/0yPgp7gmY1d+QvNW3KGPaytK+/F6GvMW8M+xf6P/hmkePgnjVCvY6gIo3OoCKNwGeS8d1dnvY3jyBMMR5ZnFPRPnXhp0A5ybL/2cj9K4MUev+Pg5hlFv4j7Fxximq4+e8FL4HfPlT7NxpZ2f9xjUXBQPV19k0u8beK7/DI/z5/36Yn5ANZTyJ8a4P6I4/DzNUf5V7Imge/g68McY7/IY77kgvaOTNIbqCvey80nviwdIOu828I+Bf4TxNW9g2oY/S5+9mub4jPoNULzVBVC41QVQuA3AOXeHGIaNcQ095ZOVaxf2nOL96sQdlH6gNHBUf36WjlN/AWkPb2C438e1a/Zp9x6Sn6HxIh4LG1VHoFr5iIs6V/5MvuK3cP3CXRYt7vuVWzhN9yhOwFE4Vpp8iknE+IH8CWkbPMHqBMZYf4KfYn2JPsD0mFWDqevL5njNo+IXDbb3v4Nh/FuYn3KI4f8+9u+l+o3P03n1G6BwqwugcKsLoHB7zgcYhz/E8+vi8g+w3PU2rq9/hmNKH8tDC7umuDaP9ugTLE99HdunjjDdIfHo7mH7360wySHd8fpBuh645o/OiTGCOI8z3FcQPy7PuavXwRjPGTygzV+IppgDYayrtIAV+7gGvIbpEr+G4f+7WP7lGPONpP2vf59zlucubqYx72A+wWuYXoHyL78A/jvwo3R8/QYo3OoCKNzqAijcBFst7XzZLQxXxeFXzln76dsYXh/jmjbaa6p2YBuvxZeNMdzeSJ+pv51q+aUZuIHjnTiIYP7DCobfb2Ax9E9wfBbeKW6gvsPRL9gNv1/g9QbKp2sc5eJX0/0+xHP/Gk+1iTFeoZwBLPL6ppgfNQR+H8uHgMXsb2OY/SeYLyD9QOkFdfUeiraFxyrG6XUX1yz+Jd5nQX5ctYKtLoDCrS6Awq2Z4fgrrnmM5Xdx0hUXV635cfpbGoMNnisXFq9jcWnVEW7ifQm/h2H0+1g8YY92Db7iALruCbaPb8KYXSbenuL20O5dFO9Pc9zAfIoTDMNv4roH4vWr9jHH4wHO9ZNmcv4MpdsvjsIaXnupXINyErGWcAvnAMrvmKXf1S841nFM0n0cpWvILzpN40VtxGoFW10AhVtdAIVbs6x/nWLbPZwPIFNvupjjjnV42uc/pnvfqtz1W9ieV3o6dzFf5Am2rxfeqhef9tYjnGun8aPekO6ph2Pusn59Mc8gnFSvviEWS1eeRGM+wOIjqjOU9m+XRf5+7B04w2MgivOPMF1BsJj93SXPLvZZyvssqgdDD/cNVjHfRr7aFv7vWb8BCre6AAq3ugAKt2YNrwGQht4uhuHKRUeTX7CRjhMWK3cee/Ye4ppB6hn0Ir43V/7gEtuDv4DFAg4x/OtjcYIZ5hfspjmupTFVc9hVE5jzB3PsV7y+y/8ZYL7J17HY/EY6fx3Lpf8Q94F6tPWCrtJHyPszraV7k46idJYGuJZPl8W5R59AdZt6TzwC9XTSueoxqFhItYKtLoDCrS6Awq0B19oRf19avdLIk0YutFdMrNfT37cwTNuivQcW1o7w/rznGA7+Kyw3/ZP0epDOj9eMtXpDvEahj/fDkb5hrOOLNXMaR7hN+Ew5ig0s/n+RxruV5jfC9ubvYNis3EDUPpDpumt4TEE6AsoPnGPPd4ZhsrSPn9DWIVR+Js935D2FZGtYfAWMq3E/PDv9O6jWUj5MtYKtLoDCrS6Awq0BWwUTHKfEkRtjmBUxRL7CGoaLj9Jn2tvne+1c20dafatpnC0Md8UPeJ/unjdxDO1h45y6NAHlL6jOId50P3tP2kak+b2S5vQSXhe5i/soj9Pxwug4H+UMumICN3A94K30nvL+2+F+pN2kf4t8/GgzPAajXspz/N9Pc9nC9YP1TOo3QOFWF0DhVhdA4dZMcX168e5OcZyJ/XP1u1bNTVz7XnHn6xiGPcR1fhWXnmI4FHP30tlVPiLaSjov9ulT74Ec06MekI6N40l/MOcQKn5+Lc1tgtXVSY//rfR8nqW/tzEt3wfpJ5/zGO+TFLkKilXI/4h1GF09laR9EOfaxWUgnLuO8/1n6XdxCHcwf0D6DBqnfgMUbnUBFG51ARRuzRqGcTnuS0c/1/h7GYsxr2O4+QTD/V0M969he/wn6WeC5fkvsZp37Y0neL9e6QJH3OvjsfKoB6waxQEWp38tzetBet3B9uiPw/GKf1+yPMYwxGsbFKdQ7cEwzfVu+jnH+wGA+S/L6vWV+xAfb1n/xBzbl8VB9Ll8nNjbQXUQ6sdwgPkeE7xmYxuPKYyo3wDFW10AhVtdAIVbE/vWxjz2AMP1MwxXXsb20AcYvihOPcf2zY/T7xMsb57XxY3xursj2nFyxdO7+tvHY+QfzNLY4to/xTE44qnup4f5KSe4dpH20NICUN8/PQv1Ad7F4gMnmH+je9jHsDTeR4yZwHJdw6g/EOsp5Qft45qLynPEPIWOiddWXaN6Hkln+TC7p3Ea64jaN7AadQEUb3UBFG6N4uhR935LH+J7yG9jmPi/Mfy4g3MGtjDMUi39j3FN3EM85i8sW5Yrl0UsVc2ctHqadJ1XMZ/jQRprD+O/Qbv3X/QHot6v8hHiF0rPRzH8Oeb7yMdQXCTWGMbxtQc/x/n8DYbNqvFXbj/WTug59XGegHgV6v2jHs7q+afrxVpI+TDScN5Iz+km5i/8Mjwf5U1iz8VqhVpdAIVbXQCFWxN/ucT2il0aQW9jtXITvD7+fvr9Go6xd9JnfSwXIJ6hatPW8LyDYg4rWB5hiOf0hWXgcW4wjJyka76Ja/L8HOs9cIrz+fYxzSFx/JVfiLx73eNVPQc1B+3ppR2wEsaK5wlfxUeMvH5pD7+YntWjNMcd3A+JtQ+qz+ync6Bd338jzXsX5xyor9MpbT9OnEHdj/pAVSvY6gIo3OoCKNyWagTNMIwSl+xtbJ/7KqZtv4XF/z/AsOQhxuk/wfa+R+k96QUO8D3wF/XplcXVGevZ3wB+FY/Vn2Hcvc+AD7HeO+I0TPC4uHwb9Q6IvLwG1xNSfEDcedXsK6YR9YBU/6dYh7SV47yl2aNeQ+IeKBYf722ZZgF4nEbxlWUaiXLspPeg2EWsJVRtYf0GKNzqAijc6gIo3Aa3sFj3cfbBCdZr9p8AfwT8AMPXPcw30B7zCOPJfYL3zdtNry9gmLOH4zA4F18YnOfRl+3JJ1hsWz1+J5gfMsHiAOLqT9Mxo3CNOP4hoVEChvHiRW6Ge5B+svIDp+m9VZwPsUO3qQ4y9hFQDH6SriM9Yc1RcY8NvBexeBUzbM+vPo3qg6D/g/WspGl4GH7Em5AeY3we9RugcKsLoHCrC6Bwa34d4/k/oh0Tn2E4qLz4bwDfAv4U24efYrGAn+Cc9z08p/AVLF79iPa+WDVrqtOTbxAxepXF/TaYZt81zGe5jvkic2zfrz2+eg1c4Fh7hOv6yOY4Z3+Xdv5jjPsIiuXPcd/m+cNL9yIdPun/bmf3nFussZzg+/pjPGZwmN6/lu777XQvtzHO5Q+xHMJTFnmJE5wvIN9GsQHxEuU/1G+Awq0ugMKtLoDC7XnPoOdvYBiovbJ4f7ewfei/wzDl32NYpLr/Ga7Fd4pxAdQHUJgsjb6o+QftvgNgPkDUt21NGMP/HoaP+3hv3900jzNca19YPEzzUT2dNA1ewrWOTsLc8l5/V9Xr5Z/l9QB6TyZOxAn+bHfxmglwDoT6/20C38BiBE+wPMsBrtWsGkv5Y105HvVLitrG9RugcKsLoHCrC6Bwa17FcPNzDG/yHruqIR9hWHQf58NJE0j6eXl+Pe9nk2PoVflvxSPUjzj/bJ7O0/5dfDjNIe7nt7Jr5uOpd494C71wrHR+IzZP8L4K4g5MMPxVH4QNDGulsaD4fbx2P/wtP0jXF19glMbaSMc8xrkHuu4W5hMssxkWPxhh/05Pacc9qhVsdQEUbnUBFG7NTQyrTrA9pfBefWZjff86jrXHGA5/ls5bxfWGxdNrXQjn4ikuoL2qcDZaP5ynGEPsGaw6w6+lcT/CexSJC3eK1cRFvNP7UTdI8XjlM4TzugfVBZ7TzcED1+cVt+BhusdRGkv9i3Ntv0G4J9UF6rMppstwJ41/iGsqP8Xw/BFtDaUVvEYw7vWX1WLWb4DCrS6Awq0ugMKtUa8aWcQLadRI0yf2FQSLxUuHHgyzhD+xFm6WjhHe9vE98lV6eNFG+N5/J8xRWgAR++I50uXN+xaID6BYwix99mTJ9bvi+9q3g+v86zriDUReQTxPr3qm0hOe09YyGmKxlhew5/1Cmu+PMP9LuZdj2jUD+2FO8dqqv+zjPl+1gq0ugMKtLoDCrRHO92lz5lQ/PsDwKPaby3sLXMPwR/vrB3hNunjzWmnC0RnOV8stxgV0nZw3GE26wzvpGGGqcuUDjMtwme7xiHa+XFzIL+OP9DFfR89hP7yvaymGor+Vg8/vUc9CWj/K14NrB93C/aYXsLoIxW2eYLyHp7TzHaT71b9d9MnAdQiqTmC1ugBKt7oACrfnGkFTLOe8jWGScEK97KSNL9xcw/sFddX7D1jUx1fOXLX3yg8ori892wO6OW0aV76H+PXiGmoPfdRxHnhdHxhmxlh/zMvrPVjUL85j+XkPwq64u3IQkXO4gj/z4zQfcRuP8ecv/0GcghW8l8EOrsGgHI5iMfKvFHPR/FZoaxbVb4DCrS6Awq0ugMLtuQ+QY8NV++KIz9LMOwifC5vXsRUmrbt1zHc4wfa0qufXOCt4jd0oHS/uwBPaPXLED1B9W+xtGH2Pq+4jnisMFR8v+hGKn1+G93NfQOMppqB5CPMVi1B84ml6f4TpHd5MxxxgtZr38fo9xUU0duRWRHzXHKQLFDkHsR+E3qu1gdXqAijd6gIo3JqorR+1enrYflPYrhrzL1MfN8F46FOMk7eC+QH7eE183L+v4f3u9nC/QBY1/cVdyOcyxWsaxnhPnGVz1N/K4U/S/Ys7f0Y3vn+RLTtO/6flvZImeJ9ixUe2cf2gZXEF5Vp6uIZRzJk0YexdFnMu4kPUb4DCrS6Awq0ugMLteRxgA8Php7jOXOyHE/E0+g3LYvZ6fwOv9c+P28T2+vewfav0bcRx0zHS+VUcQL4DWL5cWsVn4f04Rhf+ar98Pb3/FMPLa3hN/irGu4+1dNHy/j/LTPn82Aehj8U7pPcr7qD4ARpTOK0eg7qn2Is49lnI9/tXWY0DVKsLoHSrC6Bwa97A+OXa/4tLL137yG0TJzDWCshWwudR2yfXAZbNMc3/Eaaxf5TOE19PeQlhP/ieuIf7GMv23DmHfw2Lxe/TjjOsYH7GRvrsSRrzVaxH0mNMCzHXLMzrGaWlpF4AyutHXeL8OYzTvOZ4fcUYr30Q3sd4RbSucVULEHsDaIwezmfcp+0zVSvU6gIo3OoCKNyalzGcjTX92rce0Nb0y/eW6ukLzhtULly1bTGWHTVyN3AOH7gW/ybmE9zNzomm96TFo72zeAfg+PqUxb2xNIJHOK/x5TSfvTDHk3T+ORYTUO3EsvoEPQdY7COo2kXpI8hW8fxDV42EagbPWPR51AtwBfcdwGIrZ5gfcZU/NqZ+AxRvdQEUbnUBFG4LvYNlipGrj/2z8HmXpk/ce3ftW9VPdw3DPPW9/zqWC/gc8z02sP5DEbukmxvr/7t4emDcuiG2p449fRWnOGZxfzzFcHOAxedX09+7WFxAtXdR509cPdU5iLPQVe/Yx+ME43TMDs7jV08lzXM1javYg/SZxKkgzXMtXfcZXtep/f4wzHOefhcfQzpJe9RvgOKtLoDCrS6Awq25heeRuzT6c7wf4To02lNepZWvPazy4bdwTLvA9t/fTOf9Bd4D526aS/RNeuHvL8rBT9Pctc8Hw03pEmyFMbVP1/78W+m4bcw3yXWDlukgN7ieAfjzuSpnoTp+cfl26I57rNPuDyBT7iH3t/IxVNt5jOdaau/ganUBlG51ARRuTY4XXfjxZTjxq1gO/QjrJSRcVa3dIW2s7GH4/10Ml7bxeMAc90um+B76Hos5eO15L9IxZ9ieWPvdXCtAXILIc5jher2K1b+A1exdYj367tPG/ciFFL9viun6TjDtYvVWOMQ1Eqc470EmjSP1/Yn5F2kQN3i9gq45Sb/HvszRVCMhjqdqKpXXqD5AtboASre6AAq3530D13AO3jKuf/QFtI8/wnV9VjHc3cE5heKtR41/gBcxnJ1ieYdDjKuneP/ddI60g2D5Xlrvq8ZeHENwfsIlbZxUvmKG6xbexvb8O2muc7yH8hYeExF2SotnFfgO5tOAawGdYv7Q4zQncRiW1RKM8dxAl+5SnmMRfzNqBCgvob8130ma5yb2TB+l1/oNULjVBVC41QVQuA2ElVHTV70BxIs7ZzEWcILl7tUzEDwnLY1h5RfEjZ/iPkDcb9/E9v/HWI2f+v8JK9UHKK9XzDmKj9Kr9AD3aev2QjtPfhzmLB8kxvmjFoG4eQ3tGoEZxmn4rfQ8GiyXcB/4E5xToZrHq3orqp5RfIlcSzi/X2kzr2P+g3oHa88/xDD/hXSM9AP2aOsQVivY6gIo3OoCKNyecwK/ieHHh/gecg3zDcRpEw6fhpPFR2/Cq/oOCse1zz/A+ACn2L4YPEagc2YYRgnvDvHeBdLnF79QffVOMC0i5cq7ahh0D8eYfyDfQPvkBvNFxJc7SPOP8YOuccdY/P9tvEZf+kryme4C7+H9fcVP1H2fpXlJH/EUe+5ddQIy8QDA/YPY73GAPWs9+1l6VvKPxuka9RugcKsLoHCrC6Bwa4RrK9h+8XMcE7t4b7CoJ3gR3lumT6P8wiD9rKX3tvE+xIrjCxfBNfIVQ8/z+138BWnxX+DxDd2DNPkOMH9iiOGjcH/GYnwjv/9oqxjOXkvnfR/zB9aAdzGe4wMsHyAdoyHet0C5D/k2ihuIM6F7VHxfvQOUE1jG05Bzp7qAWXpvE3gDi1WsUr8Bire6AAq3ugAKt0HUk3mAYZf0Y8bY3jjq5Elffx3fh6qmHrr33z1ca/g8HStsH2Nx8m1cOzfWJigfEfPjEff7eL2djlG8QHt/6eldYnviyK2/TNeO8f8Y62/ojsPLFKd/Cdt3jzB/4FcwP2KI4f/dcM4pnoPQ3OSbCOej1nHkUYA9N/EtD9O58gWGmC8yTdfYxZ7pHYyz+Wa63/+B+Xv1G6BwqwugcKsLoHBr1LP+GR7LjqY9aFd/wC+qF4g19Pmx+b5aNYd9PE9AOn+K7V+PsDy7YgmxD1/s15OPK5wd4X2JTsN5K+Ee5evk40xwzB2E98W7B3gN+AMMbz/BcP9jLA+g2nxxJCbpns7x3Id8lGiKB0SOZpcOItizW8PiEvLllCNR7cEc898uMf5E/QYo3OoCKNzqAijcGmGMcuXi8p+xqAMobqBwWbp8yukrt57Xzel31bqJp5/jnUx1crHuXdoAeS/fa7gvILw/Su/l9Q05dvbC7129hHKcFQ9ResWa2wTLo8zw/fwets9+ivdkjHr+69gzPGExjhLrKKTvq/kcsajTLO5fP30mDYDVNK8x5o88SXO4nj6TX1OtYKsLoHCrC6Bwa/SfmOuPWvNRcy5q06rmv0uLpmvfL5yaYTn6pyzuY4XzUzz+rTq8dWxv+yltXM9tGua3G+5tLf0t7kPsk7zMYq8h1RGq54B4d/I38lyFcu25rk/+fGUzPMdxjuv4zPCeRuCxjON0zTHuq/SxPMBpuqZ0gVQfoV6II1yDoX4DFG51ARRudQEUbk0fw+cuLZ3Ypw4Mh4/Ce+s4zh2zaOpLJ6wUHk/o7jukY08wLBd3XT18RhhnQRis8Zfp40gT5xLXPt5N40f/Y47v3fPeQOA9BM/DtaVJJH9D/QAO8L1+HrOI8/oik8bSebieajOUl1nGU5CvpucZ9ZSj/1PjANXqAijd6gIo3BphX5eJW3+EYckmlvN+iGnm7GDYeJnGUM/6AW0+Ptj++SgdN8Ow6BleR3cznXOYjol4p320ehcO8b13P3zW5YfAYtxeef08pt91fKxnkOax8gFzjAeoOe2mZxPnkWO+NA81h1z3cJTmeEy7Z6K4japd1NyVf1BuRVzCZb6GdBLHuM5itYKtLoDCrS6Awq0B7/k3wHFJPDfhyAzDuwHwDQxD3gT+DPgpht8xz97D9u4HtPfX0tsZpc9UhyhsVixcNXTi0MkH2Wex70+XrmGDYfRRuJ885y9cjdrBsi7fQLzFFzFNwZ00/mOMX6eeSH1c6098i7znkfbovfC5uAyxz6I4AXpux+H8a1i+X/0MjzDOv/ov03FfXRyJagVbXQCFW10AhVuz7IO87v5t4Hexfe4J8D2M//4e8APgAzwHL/0b7ZuVw1Z9Pum4MYbp6rUn3Jphvsgalm94itcKjHEsfsbVOjrS9pOmb1fdwDIT5grD9aDkn0jPR3v3p3gsRPUNymUs6wmsWL64iXF/rt6FA+Az3DdQ7WDXfFfwPIv4lNJWVPzgMhwfNQiqFWp1ARRudQEUbs/5AOpbF7V+ruFaeiMsnv8t4N8Af45h0c+xvMBn6e9jnDcoPFoDfi8d9w5WLxdj3PIF8pi5tPAVK+ji6i+L5eu4TTzmoLoEcPxTH54uTkG+Z9b1h1gcQL6KNAbEURBfT+dIoxeMlzBNx+t56X7Uj0A8wFPa8xJfUnzDLbprBMT3kx7zeXpffkCsNazfAIVbXQCFW10AhVtzG+vHN8S1gYUTwpY1TBMfjA/wFoYtf5ZelduPer3g2jTHWF2/cuDipR9h2K8YwVX5fO3pY34+8hO13+/ac/fSNbUvl2+x7FrKPaziugGz9LpFO4dxA+dOSq9fprleFXtYxfyJl7Bn8xSrfYi+j2IFsU5SfEdh+2HHtfXMwHsLyg+qPkA1oC6A4q0ugMKtlQuI+17tScH4eopTr2E56N/HtPDexXrj/BCP18f9svhtisffxPlrqzhfIN/Ld+Fm5ChqjuLnD9JYmrPyCvIX4pwUY1AePfYMiLX8XRwC+SH5/lvzAa8bvIb9H7ZPuwdCl61hfAvFJE4xf0Maghpb/olyKHneJeYwFAOI8xQfUc+wfgMUbnUBFG51ARRuzS0sx7/C4t5YPoHy+beBbwO/ieHQfwH+kja/fRPHLnAdvk0Mlx5heW5w3pzq4Pv4Pl24pjGU434+cb44r69rT7AY/DGWsyDNQf5JjJtrjxz7IpGOlcZg7COkusETLL6veam+f4Tr9so3kLag+gSqjhDcN5F/cx177hdYLEW8f/UHlGZh3r8hf0YTPF4R4wX1G6BwqwugcKsLoHBr+hg+gGGScvg7OCddufUX8dj+r2F6uH+L1/7Lh4g4JF1fMAxV/fxVJt9DcQTte9VbSPz4vA/vqOO9mIu/htfWi7fQx/bfR3htnUw5CsXlhzi2R01E6QBcS8c/C2PnfkvkNKh2QT2OwPyIfXzvr/Olx6Q+Acs4DLIYB4nXj37TkPoNULzVBVC41QVQuDUT2hoysKj1O8TwVX301mhrAHRhUax1P6Wdu1c9nHLlF9l5pDlNsX3wPoavt4CPsD31fpqHdH8i1k1w3O5hOKu+OuIAvoDFAk7wGPxH+N56N81/hvkty/oIKEcyxff1XZr/8b7VGzB+rn16D9ceks6//n0O8V5DsiGeJ5AG4gTjFcgnU98m6RPmnMpqBVtdAIVbXQCFW9PD9GW38FqAPbznPLT7+Kmv7xyvPQPv7weuqxu1h25g+PMMr+/bxjHxZQy/PsbxX/nsF7FcgrR5HtDWI4i4vILF5sUb0JzWMC7CebruBPcBFOc/xDT+pVGkOsAYS/giE3e/CX+D+0G5SQ9wgP07bOC9Gk5wjoWe9S7uM8V+DhpLcR3VJ8R/u3icuBX1G6BwqwugcKsLoHBruvR1rjyB9j5SeLdPu699bsKn0+xz8fUH+B49XkNjruK9AF7FfIIPMUy8h2P9EN9HS2c418SZYfpGbwPfTHO4i+U2Pk2/i+MvjaLc8ry7+vwo36FrqpbvHO+RMAvnqxZwhu/xzzBf7CbOUdzG/ZPc5GdIcyhqFEe9YOU/yI6vVrDVBVC41QVQuD2vCxCGxfix9sLiBcbPwHHuqv7BsMhbkwbBjLYugVajahPFiVef3W28Jh68J84JHgOPeYEJzh2IHL858DXgXwD/NF3jPwN/nc4dY7GGu3itpLh68imijwJfzE+MNsbyDyfpfobA72Bcy4cYx+I9vOfgtXSvp1hcIM815PyL9XT8Hs6/yHmVVSOoGlAXQPFWF0Dh9lwrWLn5Ph4jP8E5faq7G2AYuoXvy7fCgF1atDF2vYHh2Ame+46cO3HvweL34uirF660cMWL03GKI9Bx/bymYJrOuY3HAr6W7uMhhr9/h8UZnuHcP11TvfdU7yjtQ/U7Ogl/r+B9/o7Cub1w3ilecznHcx7HuA7xCe1ahLx24cvUSGxiOZcJFjt5TP0GKN7qAijc6gIo3BrFr6cs9v9TTWAP21MuyxlELQFZD+cDLounL7MJXiMvfFvF9s5DnO82TfPaCefmuoG9dJxiBWM8LnAb4xp8BcPfLWwPrtxCD+/9K+1D8eq68HdIW89HtfzyrzZwnoN8Gd3vLH02w/sP7eL6w6rRiPUAig3kPk5u4iKKZ3Ajva8ez9UKtroACre6AAq357mAfP8+xHD3DMNY6QOJl5bvPXPsVZz+uOPYYTg+17DRhJQn0J5fcevN9PkJ3g9oWdwhWuz3J1vHdA+lH7CG5xt2sX3yQ9p5f9UX6H5U4xf5kPJ/tP+/TNeSrvAQ8wekOzgMn62GY+/jPtmynIN8jGU9hBs8HqEaj+00vnyDagVbXQCFW10AhVtzVRw54ul6+v0AxzZp+6jnz7IxYj18zuWfp59HLMbr1SNnFefbq/5uL/0dYwBXzR8W/YAhxru7g/kCh5je4d0rxuwy5TA0rmIY4uNpvx79lWG6rvICihvEmP8ZXqsY+wLLxKdUDYTyFFO8XlDXPgvjyaoPUK0ugNKtLoDCrVH/+REefwbbE6tHnbRpRvjefYztJ7WnP8KwSlgmixo6UfO/i98ebZzGVHw91ubFXPzzG6Hbl2nC8ar1G+B196d4j1/lPg5xLoSuN8b27F09ivPrKl4grsN+9pn6C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" 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/0Epv77C8wHaHyAZm0C1G5tAlRuXf5DvQKEQarhv8Cw9TmGs+u+/RmGK3ewXjo/xbDzDMOZBW6uB5BOXanXA329vAUfl3yUmV831/utE/n/S2JtPoetgTWGNSw3/irwPULzaIrl6z/we9gmdIqm/hx2if5C0jU4x+L+d7H1vzT7Tv18l36NXBugmkDp9OpZl3WPEDWE8sHkR5R9FhT7z98pD6J/02MijnFO8AraG6ByaxOgcmsToHK7Fgd4WX8Z6dOcEevyiX+2/G/x1XON/4jIA+RYg3yMHDtQbb94ivMYdmctnDUfyxSL1z8fOLdqALNGkLR4hNlg/sLUv9sC/hpbI4sfcQtb259jXIfc428hHatevtv+PHSMdJcnhH+k5/Kb4iSKuczTr5eQb6QeDRC9nPJxYJyHK4JHobyD+kW2N0Dl1iZA5dYmQOX2hQ+wScSjpwSfTfF4cQLUT+AtLK+s3n0/IbT3H2K4I79AF/oytfBlnx2ZxjGH4bj0jY8IzVth5Ylvl/bwCRYPmPh3qheYEPqA0jEqaxqzT5TrEGcYht4j9HjHvu3Qx/GY8JVu6gWk+5LvpOtPiHyC6hzKsYn3Jw7lkGaSajKzdqL6GLeeQc3aBKjd2gSo3DphuLAx89NKTZu7RE+9+9i69mMMC6UHdA/DmI8wTCt19oa0+rSWvUjXW6CfJ1AtomLcOo/6BmjM6pdzRnDxxLUve/jlfgC3MX/gEMtj7PlzkZ9x7ufcwPBfGoRHRBxDPsApwe1TDYDuL/sTpR6i8gFzmEbDfYzX8JDQHR4R/P9jwp/Rml79g3K8QudVXyT5CfKJmlVsbQJUbm0CVG69XMAMw4gNDFsU81/D1tPbGPaph53y4iMM+ydYvHyCxQvmffsv6evT6XpDuv7aNp++zz1zhXELWO37MoaRDwdubIbhKFg9vLgCwvXM55eVNX8a49jHc57GBNG36CT9LY0C1fjrIc+ln/pu08+94/vPY8//NawP81vYM/8E4yp+RP+5wfVnN0f/f7ZiDGeEbyc+Y3sDVG5tAlRubQJUbl35hWaE6gInxBoY/3uGYecCtlb+A0zD/nOsvv5T/3uExQmGtHp0Lenh3/XBfEzw7/K6fdH3eYDx+d/EfAuN64d+/cwJzDULEFpEslOi1l8mvt4SEUc/5rr+Drw8ly9eg3ypzAfMfEjlXyA4iF/B4gB/z39+CPwh9mxVc7jPzT2ab+o72BGagYqLtDdA5dYmQOXWJkDlNirxTDr6Fxjf/wWGFRtEnnubqIN7BvxvhAZwh2H072Ec+890IQy7loheAup1s49hkvL5Yyw2f4Hl1PFjpY235fu/5fv8zMfyJoa5zxiuqdc9irOo/MKQpoC0fHJ+XfcwxMMv+Qu5L5+2a52vdbri9YoVrBLxlBMspnLHj5359/JHhnomapwnPlZxDdb9uOeEjyN+QnsDVG5tAlRubQJUbp00f5SbFr5tEvV5qrlfwPoJKzc9xXjze0TcPOPLDMNZ9bQR3g9xA1cwvJKm3wGGW9LguwLe9rEcY7HyOR/PPuarqNYPQqdP3Plc87iQtitGcZMWAFzX5StNdfibPo7nN5xHMfmbuJEjv79lrNbyHR/jU+xZHwM/8ntWjYFi+qrpeFkP5iUfv+olxLFsVrG1CVC5tQlQuXVg+KJev8LGOaKOTXn5IT6f1p/fwuL/j4k1/DGhfV/m3cXJPyD6B4HFwaUvsEpo+D/AcH8Vi0n8rv/cw3obPsS0/z+lH7tXDd0lwaVTvb18nKF6+yGcLmMmQ7V98mMyL0/a/aoZKHUSxPtf8vv8LeC/wfwA6fn9G8wXeIj5Y1O/17JWQOfUvcxhPsWq3+dD4t90SnsDVG9tAlRubQJUbh1EbvouwU2TiQsnjv4KUY8HwdNTndo5hmffI7R+tzG8ki6datk0AOXp1/24d7D8/gdEvcIStkbusDX3VzBs+9zPrX4EjzF/Q37AJcZplMahNAa0Hr4pb679Ve8wtP6/SUtBa/OstSQNAa3dD4meSkcYliuPcg/4DvA61tfgc+BfAX9CxGA0zlITIeskjOhzN3WMrPEBmrUJULu1CVC5dWCzQHp0x/57WY+eYwBZs0+9gsZYHECYdoZhtPDzKYa3quvLOXLx8l7FeAQf+2cei68fp88LP36D0CY48uM/wfyNeb/2JeY/LGK4uktoHqwS2nlaiws7h9b58lPElZCfpF6BJ+m8a4SfpPuXNt/Uj8s5COVRVGMgn0z3t+DPL/tmC/T5jTf1FJB+QPZhSn3CZhVbmwCVW5sAlds1ncAlgpNWrpNH6fchfV8du0Po+50SNXLCwaE+whNsnb+F4dtdjGvwDFv7yj/ZxXD0qxjOL2J+gbgGuRZgStTa3fJtnxZjHxFaBMJixS8u0t9wfc1/k56RcFz1BrknsWIBqiGUT6H6AZ23IzQK9/zeLog6xCuCo6Gf6n8s/+qY6/oMZf6ivQEqtzYBKrc2ASq37gGGiRsYzuxh+PsBgYUljkDw9mA4L75C6NGd+/7ioT0matSzZo/0e3fp697mGvsyT68ZLB1/aQRLt18afOvYGv2U6FF4mq4vHqPwVLz+PIaXmWIAq0Svv11CI2HR9xMH4ZJ4ruIgkLbJ75DWwgLmWymOIR1l8TakT6T6iTwuxWzOiZwAPqb2Bqjc2gSo3NoEqNy6DsPHF0RfYOHilH4tmfrTZb9AWL+A4dMyoTG0jXHczom6NGFg7gekHLZq3/HjxImX5o54iYp7L9LXwys1h6TP1/m4VvznDuYH5Ni7fILse6hnYcbVIc6g6v3P0t85J5/5AVn3UJr9p/7syp4HN5ny/MfYv9EMi4Mo16J7kv8hHof0CjIvsr0BKrc2ASq3NgEqt2u5gJzrn+c6n38Oi1Er3q/+AqfEujev7aW5l+vyyriC+uMdEj5CiYXCWWkWqadB1t9VPYNwfIKty9cxrsEBhrWq2T/EMPIU84FkI8xXGBE8fsX9pbc7pN2fYyHSNJZvIVyWdv8Qn3AonqI8RY6bDPUWvk3EL+RLyXcSl0OYL51CxRGaVWxtAlRubQJUbj0fIK+fLzCs38fw9hzDlwsM36RlP6SvI6waE2tR4bowrcyji/d/iOG0/ATp+FxgOYp5Ij+u7bmOsTxG41Fu/pjIq2t8wvqyN1/Ze+eCiLcP2bzf3wn95zmXjsncypJzeFO/xqHrDNUvSrP5kn59h+Idqgmc+f3IN2lWsbUJULm1CVC5detYzH4dWzMfYGtiYVf2CfL6U7iq2IHW74fEmvQpgW3KH0yx9bl0+R8TPQeEybreEbYeFzdvP11Xmj/CbXHscr57HtMS/G2/v8fAnxI8hly/n+v45D+oVqCM+2ctHvH2VReQtfgVQxlhen+3MIyeEjUM235fC0SOQ/WPSwRXUGt6xWfAnrXW/NnHkv+RezYpfyD9Y+kjtDdA5dYmQOXWJkDl9kUcQLn5GYYrOwR2D8XloZ9/F7aUa9kZsebX/utE7ZzWpmv0e+FlPJN+oXgEK4SPoOuJV5BjARuYP3KCae0odrCJ+SFHfp95Xa+au6wriF9zhdAeEN7LV8jnmBLagar9n2Ich0WMG/EJ1+MBuUdB9mWgv77PfQ6UJyj5Bnf8WUlvUc9p7GNbIXofNqvY2gSo3NoEqNy+8AHWCdwRz3yO4ATKpHe7gGHpPoExVxjGqZZe3Po7vq808A8wfH6AxfenmOb/MwybF/yTcVL+QOYASvMXDJt1ffEC1Gv4Ff+AxQIeErlw8QDVRzf7FUN2Jz2rY6KW4TO/r7L2fgN4F/jnwHcxDP8L4P/0sUhXWDGMS0KfQToLQ1b2VlZsIOcIhuoAM99C3IBmFVubAJVbmwCVW3cLw6Ecsxc+ZPzI+QDFqnOsOdsqsZ7NujviBoww3V+tx9W359C/e4T1yhuqA8xjGmNrYWGlxlXWx40xLM6Yd0D4KKWmn+rucv3+oW8Tz/AiXUfaBDP/7Pn51S9BtRJfxbiJZ8CPMR1l6f6JN3mT7mCZ/1cvIMUatjFfZuxjPKXf+1g1HTqX8gftDVC5tQlQubUJULmNTgiuvtb+c/R18BaJPsInRE3eDFvDPyX6z+z4vrf850M/jzT2xMffxfR+X8Pwfobl7rcwvFzDcE2WOQcZ17JJRyibNIhHGM9h2b9X7P2Q0DrI8X3119VzUH/jb/j5toF/S+gSKv+/T78e8DXgvwb+WyxW8BMslrAG/F+YD6BcR8b/rO9X+gXSL35UfC+NAMVEZAr2ZJ1H6Tm1N0Dl1iZA5dYmQOX2RS5gEcOr5/Q168B8hKxnl2v1cy2eatSWMI37nKtfx7BJmLqMxefHRF/CjwguwDZ9nR4IrZ8TrvcfFF/unKgRWCPq4JTDv+PbnxHaPROiBrDM7WfbxNbxm36fYD7Lcx/vyMe8678/wPr+rPh57/lz0Rr8kd/zp8SaXBy/UstwLu0jX02aAEO9nG6yphPYrGdtAlRubQJUbl/I/15g+feh+ri7GO79EsPr38aw9H0Mv7TWv8QwLMfW5WQ8wXD/Noa/l/73Hd//Hob/d3y7dPalravc97PiBnLNfKntt4P5L3f8Hj7CYg7rWB/ikX+3g/kpK37dzNWTlsB9LAcwD/wKi+NLZ+cE8wFUm6CxSrtX8Y8t/1u9GBb92CnBY5CGT7bM9YPgbUiPWD0RpXuY6wLkJ+mcWZep6QM0axOgdmsToHLrVOsGhgt36Gvuv4etc9/DMGUb47h9gOHXJxjO3PafTzEsWiFy0jLFE8R777Ac+T/EsPevsXX2xM//aww3X2ZDmkPLhF6O+g4phnHo3y0S63Pdq2rmTwktBNkihrPyb5RzuKTPY7wi+garx++6f3cLeAPLCYgPeJqehXwu5RHU73DHx561BG7576pTEA9A/kfWbZCfpN4JiwRnob0BKrc2ASq3NgEqt05atWUtGkTceB74FuYffB14E8OY/wfDkQuM199hGLNFxKiFsYp/C8fGmN/wCoZdj4jeP2V9XOYAlLWKQ3Fwrd0XiJ4BS0Qdfpfu5VtYj95tDBefAH+GxTek9bPg45zz484xHJe2r/Lwqie8ILR5H6bxrWPxiAsM1xW3KPsXZy7AjNBAyj2AZeIWqKfiFX3dxiHL/kZ7A1RubQJUbm0CVG6jPSwOP+QDqIYcDCPfwXh8/we23r+H4c85Fg9Qjl04r5o3YaDwaYZh1mNszf4GgXPir5fHks4h2yT08PFzzxH98oSb+4Q2gPyRSz/+J8AP/DzSKZwj4vOqfXjix39M4H7WJNKY1aPoCaFt0Plzkv/wmND9yZxD8RmkySjMn+d6rEP6iOrzpPW/6hXGRO9m3bf0B/ZovYObubUJULm1CVC5desYxuwTWneKgS9jmL+Prdn/Uyxe/4zIj4Ph4hNi7brof2vtfUpw71TTLw2iA9+W+xWovr/k+MvyOhmGeW5zRGxcfXvFY1RNwwj4PSwf8QSLzf8EiwFc0ucDyCeZYhiqPoDiEpLuYUTEAfbpayeVYyUdC5FTkL4/PtZVP88egeeqaxDnYOrHqu+C+BlT/5wQfRHUf6G9ASq3NgEqtzYBKrduE8NarUe1ZgVb+0sv9w0sV/8OtuaX9t1PiNy3eHmrBDZmHX/V3kmnbg6LlZ+layqOII6+tHpf1r93SugSKQagfgVZRy/377uP1SK+i+Hmh1gOQz7LI0JTuOQcdEQf4qH4iazsAZDjGmWvwbyvYvU5/w/DNYLrGDfgCvPNcu+j8jxD1t4AlVubAJVbmwCV20jrcVnWuYfQBhJ/7RzDyfeAnxJr7ccYpq1ia2rhtThxlxg+SYv4mNDHUd5eOjnCrIxdQ3rFuUautHUMG6UpvEdf8/AE8z+ke7Dj41H8fkpfB1gFFOIA7AxcU6a1fl77K3aR76esv5wRnL1TjHOQdZYUy1DthbSLJoQmsmIU0jg6IOIJ8l3OiJxHewNUbm0CVG5tAlRuHUTt2oiokzsmtHCEQXcJ/X/FyreJOjPpAikGcITlEhawfIH0iLLGLVjOYd63l9qDys2rzk65+BX/fot+L8AFLKagdfUuoZenWIJy9st+nm9j3ICfYuv/ef956NuvCJ1AYfdFuiZcX2tr7T4mOHuKUVwN7C8tpqzfJ59IPoV0nNQzqexpII2EdcxPOyByAfKzyrhFewNUbm0CVG5tAlRuHRg+aN06xfBOcWv9VO5fMQLV+e0S2KuYwYjg/anefR7Dr7JH7xeDoL/eHdL8u49x+Q8wbQL5Gks+PvH/VON34ueSzqH4jeo7JGxX3mDRx75P5CzG/vch1+PqZW5/KF+RY/xzPlZpAeg5Z4xfInoWZW6ifCrxJ5b9WurxmJ+jah/KegNtm2A+T4sDNGsToHZrE6By6zK/boXQ1Mu9ecRv01pda1np8J9i8YAzDJuExWXfwax9U2rfq/+usE86Aqd+3dsYH+ECy3tv+Zgzj1F9iXM/n2OiJgD/7nWsrmGb4CtCxCBu4u/pOmMsJiItYekDq9ePnpF6Fil2oFhEef/6boo9zxVC/0c4/4TwQ9S7OPMHVjFu49t+z7/CYjrSD8hxF2kO6vdmFVubAJVbmwCVWye9HOX6s21iGKJaswVMT/gh/XiAYgdn2Pp/jdATksa/fIp7GL49ot8HR/y2GRHzl+bwCMNGafKJAyj/Qut00rm09l/2/cdEjF/x8RUCs9Uf4IroQbTg5yv5gPg4z4i1dpkTGGM+i3QFfpXu+WXW+di+hvkqzzDtBekIKQchjqM4EerDOIfxGsRjkIah+BZXRN+jVdoboHprE6ByaxOgcuukl/cKhjfqQ7NAxPiFJTMMb4VTR0Tt3AaRe8/r6E3/Tn0AVDu3SPDuZfIDcv3+tu/7FSIuf4bh3MjH/cjHnvsW6L7O6Gv6Zf1c6QhJK+eCm+sRsynWXp5vhdA5fJHGqnpHrd2Ve1Gv44k/i3PMZ1Hdn3r6PPfjpdewQ8Q/Rphf9SoRQ3iM6TpvEVrCR/RjOxpvewNUbm0CVG5tAlRuXdaMG2F8/2OsVk7x9U2CY6b8+wmRu96jX/emOL76Cqo/QMmFk5au+v9ovZ/74U395xqGc28SvIJHwL8n1u/ZXvFzHWK1jNLyl66ObEQfz8t6PnEgFScRpmZ/Q3x98SJnWK5BvQ1GhN+juoucI9F6fg3LMagfsPIp0hQcqo3cwP7N/jOs1vHUx3MPix/8Iaa5vEP0Z5bP03QCm7UJULu1CVC5fZGiV00a2Fr0AMPbn2P4s0LUziuvrby0YsqHXF9r3sbwTdz9faJOXzF2ceXE5btM+5xgePYW0Y9P2y6wvgIHhJb/CNMyOMTW4mdE7dwhpv8jXyXnIlQLARaLmMdwM2P8YToOQhNhPp1HeQbxKe8Q/QQPiNiHfIAZEWNZJDSW5onePi8Ijr+el3IsYP9e/wzrUbxA8Dk+Af4c+zd8QfRJzH0R2hugcmsToHJrE6ByGwkfxZEDw4rfwzDmrn8OiVp65cGFpXtE7ZlMOJX7/KlervQThK+HRCw88+aPsHj4p36te5hPopqDse8z9eM+wbB3HfNPljAOw2dEPlw9hRTLV2/hq/QcZNIEWPK/te9p2g6G468SnAL5VOqpJO3hnG+QT7BD8Bay3rJ6FshG9OMnSxh3YM3v623f/0Pgh9jzXyH0BE8IDmjrG9isTYDarU2Aym20gMWK54g1oj53sdj2dzEf4QnwbzAshcgn7xB4qFy3+taoPk+8QOXdZXlNqzi9/Axhp3IKmxhmbvu5lH9YJtba6s37ip9TfQI3CZ3gLSymkMchDUP9nret+BjyOj5vHxN1/dt+z6uYHzIj9H0vCc3BfHxH1AxepHOpLlD1BxD+CIS/8mPf52NMz/k+pnXwPub7qIYCQoto3sfX3gCVW5sAlVubAJXbSLnxTQzvf4Vh2M8wnvk/wvDojwl+wOvYWnaHvvbOgp9HnPoNIoe+RZ+7r2NyTPvSx6B+P5f08+qrBBZvE/Xt4v+v+T6X/vc3sZjBst/P51i/A2ka3SZ8k1P6PIEvHpCfX/2Chd0T/zkl+vpKP/mrRG/FvyZqKITrdzC/QLl5XWeOiE2IByFNxWzSB5QdY37ZKsYFfIT5dR8SdYviSaqO4AT7t25vgMqtTYDKrU2Ayq0rdfvWsXj2DvB3MRz/JYZ54gD+FfARNnuW6dcJXqTz7BG16MKxGYa9O0TMXXV+istLv0dxcPEOxFNQfVw2cepW/dqvAP8d5nv8a+BPsHzChIi3C4OzD5N7HmYTXyH3CMo8SGn0fcXP98TP8TXfduT3rO+H9Hvwsa8TmkY5L5D7KmUtB21/gMVuhPf7mA8lfULpBunfXONuVrG1CVC5tQlQuXXL9PVszjEf4PtYXv0YW9cqD/0x8CMMm+75dzvYTDqgr0Wr/MIShvdD/WsUdy/78kDw21UTuE/kC6T3C7GOFx4vA9/D/JcFDC/vYbGMHxEaROIb7BTjKsei3EjmBco3ybWBuucJ9sy+hukp7GH9ibcI3+MmvaQ1ou5ym9BmuiB0gxf9c0j4SeIqKFegz009CpsP0AxoE6B6axOgcuugn/+W1swRhitvY7gyw/LO+/7358S6/5LQ5N3286xj2Kr8gPr2DPkAM6Kvr3D9Wdp+kX5XzfxBcQ4IjsAbmB8jHuMagXmPfOzyVRSnGNIGvIvh8Q7Gq18gehPKhvSBN/2at4m4wBbGaXxCxPvL57BMaDFcDewD/XiM8gQlx3KePmcx25SoRVBvxmYVW5sAlVubAJVbB9GDRnrBYOvmGZZn/g7Rn/ZHWHw51/hlfUFpCuXa93Kdn3v4lv1tSy3ddQzXc629OAbyP3KOXtzAZSwfoJoA1cIrXqD1vLSQlCPXONQ7QDz+fF8jwv/JeYkFohZB/EX1RZau4I8JnYUvY8LzLo1HfIasFzyXnk32s9RbQH0QSl2m9gao3NoEqNzaBKjcugmhk6s6O+ngrRO9AfcIXX/p2D2jn6+WBu0OgZvCfa2X5RMMrZ+1n+rqT7D1t3RvxeNbwTgImadf2tjHf+FjVc2+cuwad9ZHki+S9Q/w4xaIXsS6v3Lc+Hle92eh+MkZoUn4FIsJiNcA1/sSQNQDlM8oxy0yP6Dcb5HQJ8x9Bcr92xugcmsToHJrE6By60qd+3WCky+N+sxdF09ea96nvk215mVcQFrC6jsoHaEc39ea/gJbs87R74dXxuvlq6jXXhlLEN5OCL1eiHp93Z/uLWNw/h+RcVl1kLkX0jhdd4nA+2O/31uYL7OIxSQOMF7Ap/Tj/KpLvKLf90j6S+L37aQxrvmzOsP+DcpawyH/aqhvc3sDVG5tAlRubQJUbl2uixceCisVV7+DYVOHxdWHOO3S5R1au+acvvL96kNU6grpPMrXKy6QsUvfTYleg/P0dQcVz5BGgb4X939C1BnkWkTo46l8mOxHSDNRsQD1S5BvoBpG9Va8IngAqkUYwui59HOO0EjI49AYOn8e2Z+C0BaUxsDQdZRfWKS9Aaq3NgEqtzYBKrfuTSymr9p28eqkrzNkWqeW+HgT5mTLmkDKuUuDX30InhPr+LF/t+/frfnvuf5AsQTp8WtWb6fx5HW/bEboEObevuU9fNn70nXyd1OiV8Ah5geIxz/zzynmW0G/3lD3lusmy2uq76FM/pv8o6OB42TiQjSr2NoEqNzaBKjcvihRWyY0coby09pZ8f5VQnsWrtfKDx0v/R5pDSs+UOKn6uOUD5B+3mHaPkf0D5D+3wX9mH72T/I9ZEwcio9Lny/nEUbYMzom1vcdoQ+kc2c9PnEt9YyWsPyAch3HhC5yxvFloq/icTHmnNOX3s+Efn2ktuu56H5Uc3Dqx85ob4DqrU2Ayq1NgMqtu4thxgFRL7/EsGbeAlbvvoPx2sSbU8w9x/uFqWW8/00Mj94nYuc517+A8f5OsJj7OqFnp9jAJ+k66rUjvM5+iHh5itkLC2f0dQvlL6hvoDBeMYJLQiNAfY9kiiVM6Pc73PSfqjXIcYts8qlKjF/wT9YjgJvz/Oc3bNO9KT9y38emfo7tDVC5tQlQubUJULl9EQeYEvp1mwTOjTH/4Ko4aEjvZ5XAvDOCy5e5d9/A1u8v/NxPi3NsEBx+9dldol8vL72+M6IGT1g5wuoaNzCMe0TkCuBmPM6cBfkJHdErcZGIryvOkfsm6bmoxqCs/VP8f6jv4lBNgHQIlMNQXEHXUB+EEfHMs590RfQpAKtVEK9xhdAtbG+Ayq1NgMqtTYDKrVvE8PIR/ZhzuX4v++iUWnprGGZJt+4qfb8BfAvTzfs5UdP/ke+3RdTsqz/fBsFJ3L7hmqUtEX1+FYPPtQLzxHr+CvND4OZ8vzSJVHsgrt3QftI7EOdwldDyvYlXAcFtzNp+p/RzEPPp9xW/xg7Rm/AyHafYinL9qrnA72Wd0BNWbqdZxdYmQOXWJkDl1nUY3m7Rr1GTrWJ4lHX1pOmn/dTHRzH9VQz7FrH899tYD5sHWB+fE6yXzgirk/tYg/F9RsBb/vdHwGMiPr6LYTiEXk7mH3wZ/t4XN5/2la7wCaHho/Nm/6fkOgzF8jf8mB2Cfy//KPtYiguIFyB/Q/mHuXTdNWwtrxi+ch/SXpQms3oY5tqKdSwHcOVjOsO0jL9KewNUb20CVG5tAlRuHQxjnXLte+lv6Qgp/yxfQL7DClZH2GGYf+Db1zC8uQv8Dqbl+wusVv6p73uO8QDWCd7/kZ9vHvNR1JtA/YFzPQIEvq5geLjHdS2ffI/i1OlcqifcI2Igi5hPc07EDWTiE+rZbRDrfj0n1R2KwydNpiOGuf4ao3oG4M/l60S94YGP5cKfyzHBf5zjun7wyO/hVezZTzG/S3mNZhVbmwCVW5sAlVu3gPHQS3zLpvx2uQZW3H0dw5gDbM3/CYZ/YFj0JoaPqvF7BcPWzzCsfh/4AMO0CdHPV/WCwjZx704J/SLVBM4w7HtO1Aco9n+Vzgd9br30drR2PidqAJTvVw3fElbnf+j3J96CaguzKT+Q+Y6yN7E+AheY//OEwHvl8lUnsAy8i8VHTn0M61gs4FPCh/m137v0CVaIPgfqRXzPv889F9oboHJrE6ByaxOgcuukSXsHwwxhT+bxqYZdsXcInrnW//fpx9K3MVw8xHh738ew7z6GY3+Mxfj3CA2dbT+nMH+T0Mh/Qay1t4l+BWUtvdbl4iOqJ1Huvbfr+038fDs+5hmGlWdEnv1+cR8nWC3/NqEXJD9AfQzkxyinkPFcuoGKFzzh5jrGe8B3gW9jfIr/3L/7APgfsZ7Ij/2+FKdRXkDPTZoJes7iAeh5tTdA5dYmQOXWJkDlNhKGPUlfqh5f8f69tG0ViyefYJgprbq/g+HfU//MEf2F1bPmUwx/fwr8DOMIiteuuj5h+h3/+TB9t+j7KmafefydbxsRsYlFv94h/Z5A6oegtbDOc+Db7mDr7n0/fs237/p4xPGTTm9p8kHETZRJW1AxCukBKtYh3M69FB/6ZwfLB2xjOZQF4LeIHgRHmO+h/INyIGUuRNwF+SrtDVC5tQlQubUJULl1r2PYlPWBFjD+2SNs/b2GrXfPsHWnbBnj7qmX7S6hd7NL9A6eYNzAM0Ij528IfJz3a6gfDwQv4BzD8syXm6PvF6wQvsTEr6317l2CT6DxDfUvHqVtI2z9/3WslnHmz2GLwNcfELV1qgXI6/iF9LviGvm66iWoegP5L9IFWsf8kHUi1yE+wQss37JDcP9OiN5Ih8S/Z/Yrck8H9XBob4DKrU2Ayq1NgMqtewXDlk8wnIF+Tz3o89Y2sLX9YyLXv+XHvuWfX2Br/acELsoHeAPjB6oeYJfA86wbeInh5Miv+QLDvN/UczfX3WebEnH+fcJHyFy+PYKP9zaGvS/89+/59f81plmkc4gTWa635beozkL8BXEDpYGsvodTzF+Zw9b6B0QO4Q+Af4lh9hOMIzjDnuEfYf2cP0v7yxRj0HOVjmC5T7OKrU2Ayq1NgMqt+x6RX99jWB9wDdMH/CXBO18msFaafNKxEeapX/0lkQ9QraHWsNnKugTVtktXZyhnruPGRG/hKcaROyH6EZaW9XP3uJ6TH2G+yn+C1TNeYX7PTzGNgycYDk/8OidEnD+PUTEGxQvE688xgZt6FOi4RUKj6B72bzHF6iZ/hT3r7EtB6A3rf/g58SzF4TijvQGqtzYBKrc2ASq3Tlq7R/S18BWnL7X8s6aucEm5/yUMgz/DsHGH/vp4qAZR35e99N70831EaOEsE9wE6fYK15YxbBQOz/y4nK+XrrFyAvn7IT+hwzgLv4v5A8ozbGG5gGcYTiuXIg6l7kX9g+UPHRP9/OS3COOVr8g4rnqM7wJ/H/Mz/hx7vsd+7H3fd8s/Qz0dS8t5ifYGqNzaBKjc2gSo3Lr7hE7wHlZfBsG/K3WB1VNwnlhTrhPa+gvpdwh92mf0/Qr1w8ucOYgegkPfS0/vpjrGeaLHgGoG9/zaZf3eLb/OCx/zso9rn8jN38fq8lZ8v18SHIcxoWEgHt6lj1Fj2cTyDMrlqyfilo/pJs3B7I+s+mcZe16f+xjXCb2EXKs4o9/XWLUbQ1qFTSewWZsAtVubAJXbaBn4kMCdWxh+KE+tta18AnHmhDHiw90mMOpZusBNOrnCY+Fn1q6Vj7FKcAU/x7BTM1Z5+zkMD+cJTaAXfh/SMrqgj/86h3QAjuj3GR5jfLwxhtl3/Rri62UuY0dg8Jz/vk70J7hP4PiZn2/fx/iEyFcc+bGKsQi7VZswJWolx0TcYT6N7TB9r1hO6UuB+QmrRByiWcXWJkDl1iZA5dZtEj2BhBeZC1jy2dXXb4bhckes+Yf6Bc9jOKteu6cY3mZd4rI3AVjcPWOssFFc9kPCD5Em3z0Me08w32GPiGEcE31ysi2kc2TuwJJvWyViEB1R+yi+4jbhZ8imWD3BH2C6iOqr+AnGU/gVxpt8TL+PUHkecQL06fxZaj/xC7IGsOoNh/oRDeU72hugcmsToHJrE6By6xR7vkfko+ewte8z+nVtqjODyGFLC7fsK5j1aIRT6oer+HnW2V0iegap7436954xvJ7tiPWx9IG1vzT/jjF81Nr3EsPwXT+m1BNUTF/Xy9dVfKKjH1fYIHQSVAf5Df/9m36dbazW8jEWA3jffyp/Ly3Csv5R4zvBnvkCoQF0xnUuYB5rzuGUfRF1D+0NULm1CVC5tQlQuXUTYh2fcaPkAj7AeHEfY1hW9s0Rjqv/0D6GgRDaP1qjCj9v6sXz/6Xvzxqhy/cUw/Jl//62n/cjv0fl5HfTNad+vHobTDGclSbwl7U8/nksB/AW8B3subzANH3WsFjAnwE/wZ6T+iiK76i4xpjQP5A+Yc59bKdjdd0yjpD9gCWCnyENhfYGqNzaBKjc2gSo3LryC9W057j0W4T+7028c/WzUW/63bRNPMETolZONQgaxE2Y39GPJ+Q+BNL7lQ7REuHPnPg+9wlO4i59Db9sY6ynzhmG14pH3HS/Jbe+PN8E64vwmo9JXAXV6x8Q9QIaszgEuUfjFeY3KH6ivI3yBMrXlHH/m0y1BiPCR2pWsbUJULm1CVC5dXcw/HuKYeYChuPqEah15rrvo7pycQaFf3nNr3X+Ete1c146GL6cXzDxcYDhonyKJSzev+e/a52vXru6p6t0nk3/PvP9F/xv6Qfk3ASE1s5QDL70B5YwzcU3/XtxAo6uH8oiwQU8GNhexkr00fjm0hiVu1HfI9Jx+bm2N0Dl1iZA5dYmQOX2RRxgBcOdO8R6X/qyX8Fi2nvAXxIxa2nh5b66pbbgsv/M+fO8tpbOnra/LB8wImIK4gCof4/646gWQBrD+kh//3PCL5Ge0QrRq2jbt+l84vPv0tcUzrUB4jbKlBuZEDo/qs/LOX7xAPWctO4/JHIAR+ka0iKS9sA89tzn0vmmhG5h9jOWfTzSFu7oawg1q9TaBKjc2gSo3Drh010Mrx4QPfx2MUx9gOHLZ4SGL/S19i6IuPYcwzF08ekmBAe/3E8+xDrRC0/6OWBYLc7dsY9pF4v5r2M+wa8Jv6L0KUY+ZuH4EA9hAeM1SL//nOF1OQzrG6mWUvpFEBxKCIxfJvwL3Zu0lyA4ezMih39CaAHo/oTlx+lcN8VRxDVQrUN7A1RubQJUbm0CVG6d8spah89ha8xtDFcfYFz2Xd/vaxiGfUrU2anGX3iaYwEj/13r3VHaXur+qub/gut8PGnt3iXW1+tY3OIS49l/Sr/Hoc5ZrtNLuwkvR+lnmdNQTV+p+TtOfyu3Ip9APYLUJ1H1FK8Suoanvn2PqDUQN1D9ipQDyH2cSWPRuC9uuK8cz2hvgMqtTYDKrU2Ayq0Dw5hVDNMVAz8l4uhL2Bp/imHuh0T9vLhtitFDYNM0nVMXK/P9Q3w6YZzi6FcYLq4D3yY48T/D/IENv8ZjhvvmXPl9lPqDefaXdQ7iQgzp+AuTl/zzhOs+gmoMVNenuIdiG3NYrL/D8F6xBPVMyvmRGcYpmGF1GcdEjEJxA+kB6Xh8bGP/uYn5T+oT/QmhN9ysYmsToHJrE6By6zaIurhzLM5+D8P1TzAcugO8g8XYDzDcvcKwSxq8lwQP7ZZvuyRiBDk2rzW08LjkIEpTX3q8Ywz/j9Pvd/33zzGu4gF9jZ+XcQrH3Myj3/Qx7/m5Nn28OwSvcMiGeg5ovb1ArP1lQ75PPi7HU+B6vEH7XBbHXRT7jLG+h+/62HcxDsFDLNbS3gCVW5sAlVubAJVbrzZwiq2ppWsvnLrCcFdxbdWwSfdW/PuhnoOyEiOFjxBr95JPCFHvf4xh1gjzSe5g6+IlDNf+llhbyzfROfP5FL8Q917r6DmiH3DuPbxIaPLqWYjvoBo99Q4s+yDleALp+I7opaz4/9BYlf9Qj8ZDojawtJvqE18H3sN4nXPAj7G+B9KFbG+Ayq1NgMqtTYDKrROmq8ZOOCI8mxJr8TeJmPoLbP2t/jqLGK7tEGtyYdVc+pk19taI2jVx+o8Y5hMqTrFG8Onf9f0fYbkB6ecpdzCkjTtkOjdEjCPrB10RvYSyHu8CoWNc8ipkpV+Tc/cdoRewiPk5x2ncQxrKeczSRRbvQn2Lx4QW0JuYDsAS5jdJM+mXWFynvQEqtzYBKrc2ASq37g5WP5/z9Fq7Ko4Pto5UH75VDOfFmT8n4us5vjykxzMUo98g4u2ZCzhH1MyJcwD9eDd+vqw5pHW91rq5J4HwXbVyz4g8ffZbxG9YIvobzIg8QemniMtffp/9C9k69gxPiFrErLucYw7l8XoGZZ8l7ZdrDZXX2fCf43QvB1jfgvYGqNzaBKjc2gSo3LoO4/9v0cdM2V2i771i8eIIipsvXqDWs3kNLs2hffo5eOFX5r6Rtg3FxKXn3/l1FcvWul+YKd9gGcProRpBiBpF6eZpLOJCjolefDL5ELnmQdeWiQu4n75XfCI/F/EEynjFPaI2Q/qC+Hgu6HMV9VykxSzT/d7F1v8rRD2huID7tDdA9dYmQOXWJkDl1mVMXMQwY4e+1q9q1FVPvoXh5zYRg5ZvcIX5AytYvkB+gXr3yVb8nDv06wpGXK/vy1b2GFilr70ztO5eTNuVj899gtWLt/dgsHX0IubjqDYv9yvMcZIc7yjxnvS94iWn6TjlG5QfWMd4fBMsZv85EV+QdoGer3QTxP+b+d/n6R4z96IjahrF72hWsbUJULm1CVC5dVm35x0sty7dYDCMvYv5BFfEml/xZ9WpnxNaNocEtu4SdfHH9Nf84v4LK0vsVpwgc+u0XlfsX76HfJYyflDq9+RYOphfs0TURqh+UL1514h+hPJX4Hot4JfRIcj7aqyKcbzrn3XCF/gM6yv0nKgfLO8jawXkvoDqB6B/m9ynYJ/o0djeAJVbmwCVW5sAldtoBcO2KcYZl67NDMMMadMJw2UXfsxXCbwSB+0Btn59QWjW5pi/tOrEF7hK28Rde5S+W/dxbafv1DNAa3hp/covUI9A4anWydpf/ouur1oA9Rzc9uscE3WCpfYghEZ/6RPomstp+y79Wgt82yaG16/7R1oN6n/wl4RWsPwf5USWsX+HK8xXkPbiJcb5g1jzK9ai31tdQLM2AWq3NgEqt9G2/7JF9KuRLr1M2HFGrDXXMGx+jmHbIYZPf4Nh7A5Wgw42y7Iur3gH4sXPMJzV+vVzgmsvTRvS8SMM/6UhfJi2v0b0BxYvQLH507Sv9PUPCN9ANZHavon1/jvzMR1gmLtA1Akox6G1vZ6PcvR79HMCQz2X5Y/cJmIuTzC+4lOiL5BqElaJ+sQ9+j2HZdp3nqjr1L+fxjuhvQGqtzYBKrc2ASq3kdbjpW6t8EsaABA55TkM43d831cwrNoH3sCwU/gvLto+hqErGOftkX+nWrgpER9YI7h5R75Pxs5zDPtznSG+z6dc58kJD3P/HmnmC6P3CByH4B1sE3q9+/TX8qTfFW9QbuGEqJGEiHuU/oB6HC/7mOUTXfpz+nNMq0k+mXypTSwG8wyLwcD1PIRiFJnDIG6HuJvtDVC5tQlQubUJULl1qxh2Kd/fYfhyRuSgxRkYytfP6HPrv+N/PyRi0yXvHwybVOufue7CSeUPFINX7Lrsy3vbx7lD36STe0y/xl6xjlK/YJng6i0TfpD0+8XzJ41Fzw4iTnLgx478HsoewcJe2RzWg+FrPuZH2Pr8a37uDzFN5GO/3jKG6YqNiOuv6+SYR+5XJP2Fffr5jPYGqNzaBKjc2gSo3LoxoUX3hODeLRExfK2nM24ohq26QuGlOHzCxAdYHH0O47PvEL6F6gbf9GMfEv7HEwzX5JfMp2PUd0f5ginBiVNsII/xIn1Ky3UGZTxf9zqk6TukCTS0r57FOobtLwhfQve2gWn5veLP5hDzn7aIOP8a9qwOiVoAaTepnnMJq2UQd2OHPgdD18xjbW+Ayq1NgMqtTYDKracVLDxULEB6ujmXPxQHB8O5twk+/VOirm6H69g4wTBP+jy3MXx8Qqz75wgdImkPCcOGevlknaNynwm2jhbG5mOG6gl1rayXRHo+WUfxkuAU3CI4ezlXr+vlmgDVEkBo+si3eNXH/MTHK77gHBYX+BnBkcz5BuVUDon8zpCJD9neAJVbmwCVW5sAlVtXxqbnCV78JYbrWpeeYGtN1RLME9y++9i6dAvDsrtEP71jbB18Rmjkfern+8f++RtMw/aFb3vh11U8e4Rhorj50hiWqe4+1x/kNf6Y6AF8U68eGNYxHGP/U5RTV86+w3wUHaN4fNkbofQxhL3q0fgAeyZPiOes86g34TL9PkLyPX5NxGlK3mW+H8UjVP+guoL2Bqjc2gSo3NoEqNy6DQxvFU8X5r6DYd6vMQyZEHH3QyKnfkZfa2YO8xHUO/cx19fC6uW7gHEI38PiAL/E6uF3CY6ANPmztl+uiytjDMI5fL81DK8P/O99QrdIMYsj+r7CEpFbEKdgiNOgnr5rvv8jjKMnraPT9Luut811bqDOJT9DMQLxFL6O+ViqT1DdhrSVL4icDX6trAWUTRpE0gpob4DKrU2Ayq1NgMqtWyb4Y1n3TqY1a6lvJz3cU/89c+9KfCtjDdLtm8e47xcYjo4wbsAuFhdQnZ50AI7o9xMox5nxboXwUbJm3lDcI2vza42/Q18PUNtWfHzSEjjyfXPd4pBO4T0/VrkR7afnVj4z9XB8jeBFrvoxE7/ux5hPo/veps91zM9mAXuGWYuh1QU0axOgdmsToHLr4Dp+DvWrK+PbskUMky4xbFzy79SHN2vmqjZvwfeZYth/THAI1IdQmsGl7yBun7T79tM2rX9PuM7Hv4nb92VNegQ79DF2nvCFsq3T51eod8AiEePPHH9xLRSfl7bflKiXXMViDU8wHFduZILxN/Z9W9nzAfocCf0btFxAszYBarc2ASq37lX62sC5fn6ZWDMq/i8bE/X8EPhY+grKDaxj+PecWN/reMX0lR/P/f2y1u/QGnvoO/w86jkozaA8JmkJSj/gAcZhkD9zRPQ5+px+PkOxkaHrSnc590dQfkK6vscE/spnkn/0kOsmPaY7ftz7fu1Nv4enPj7V/mctpPL5iJeo79oboHJrE6ByaxOgchs9xmLO+8TaeYLh5gv/e37gwNyDJ/cDhKgrUP5bPYG2iDXwpf/+u1h8/Cf0NfZI5xSuiiOgWSstfPkSeS1+RvgaMuU61BNAeoPKhch/kbbPCaFllE2aQBBae+IsKNZ+x8+n729heY5tDMO3/Byq158xnOfIHEXpEooPeO5jlZbzjOihJI5gGZ8YqmdsVrG1CVC5tQlQuXWqn59ia0ppzz8mcHpKrKPnsLq1c/pr1hynF84I60sckuX1tHwDiHX4UPy+zFPoGucYnkPEI9TrD4KzUOYW7mMxgPeAb2KYqt49PwN+gXET/l06VrGLJSKfL03DDd++539Lr+AKizOs+zGPCC7FDPMltog+BTL1a5Qegrh/QzV/E9//iOAD5n4JQ7zG9gao3NoEqNzaBKjcOoiectLkUdw689fvYLPlMTfH32GYN5B5dxMMP5/Tx/ecE8jx/zU/3yHX6/KVTz8l+hafEBwE6QG/me7vMYbzWTv30sf1PSx+8QamXfAh8EdYvUJppX+i+xaX/4jAauX5r7ju03REz2bp/6tuUHGZGRHDOErnUM+mK39u8tvEXVTc5ITgRuqaqvNob4DKrU2Ayq1NgMqtu0vE6JWXFu8dDH8eYHmBNQxnci0dRF5bNfIjIratOPc5sY7O8e2Z73Oavh9h62np4I3p9+3NJl2cEwLX1YtvDsuVnxX7XhL5fekUfh34Hf/5HPhb4Ad+vPgSWS859yTQPekZKi6R8+74tjV/LifpfIu+Xc9HcRQdO7TmXyN4B0/S9yWHIn8/xGFob4DKrU2Ayq1NgMqtU70/GP6tAB9gGJnz8XC9f/0Ew91zQldoheg/cJuoxz8gehKrX2CpoycTZ09x7DL2LV+h1PPROG8Tdf9ZP0C5jgMi9jHD1u13CO69eP7vY7mAfcLPueNje8x1nmQ5Ppk0/LMP0aVrHXOdCzDxY3JP4iF+320fW9Y/XCRqCo4JzsEG0WNZ+ovtDVC5tQlQubUJULl1ipcvEDmAJwzn4hXTz73ny16497D1rDTtJxgmbadzXAwcm00c+QmGX+IY5Np31cx1RNxddfTKA+R1uuIJp4TGUPYNfgvTRToFfkXkH86xuMAp1/FYdYHiD0Lg/9j/lv+Sr5efV7k2Vw3ABIs/qCezeIk39W8qzzvF/JWVdB7dO0S+pL0BKrc2ASq3NgEqt049er6C8eP+HYFp4gbcwvyELa7355sjNH+kGZi5Z1qrnhJ4Xh4vbBQnUHEDHZ91b8WhU25dHADtr9z7kJZBtjHBEZgA/yid6/tYfv7PgT/EtP8mfpzyEcJv5SEUCxEHUmtyafOc+7g3sOezTd+vmBLaicr7qx8jDOcD9EzkY7yO5W1OsdyNfDbd51a6Xusb2AxoE6B6axOgcuvUY/eSyNtfcF0LB4b7BpU285+ZuzaiX98nHOqI2PRNnPV8nRmGs6cYLr/M1GcwHy+NQHHhSk3/KeaHqB+BTHxE8ftKLqPW+kuY7yDN3x3ffsvHI/2eXNOomMGIfi+jHDcYupfSRti6//vAPwX+AaEv/CfA/wx8gvlKTzAfZJf2Bqje2gSo3NoEqNy6TQwXlgkt20Ns7a76+JuszE8r713W94OtUVW7vkX4COLO/aZ1e4m994k8+iVRP7BNn4s/IvBcOoIQ3ATpD+v+D7muTwgRz8g6CuX9C8uXCE2kEeYLPCyOOSOeV773kkuwQL8+Q1oIZX8k7ftdrMZRuQhpBv0U8wE+I+o/FMtoVrG1CVC5tQlQuXWqTZ9g/YHElZOG3gmGixMMY3YxHFojcv5g+D7GYtDC6iuuY1i2nA+fEZhcavLla0+JurkR/dxDxmPdh3r7qW/PJYG/qtsXLz+v9xWjWMZwv/QJSlNNwLI/C41LfXlUoyeOYhljKfkOM0IzUbrL+kibUfEEXX8Jq2l8lcgLfNXH8KfAX2JcRvErGiewWZsAtVubAJXb6ATDm12Co37Pf74getce0Y/vb/tP6d5v0+9fA4ZV4r6/ILA66/qpz84BUTtwi9DEOyRy/eK7ax2eMRD6sYLM+xPeX6Tt8kl0jbuYf7FD+AbqzzdHP1ahOsAR5gtNCX0eaQMepOOyZo98ItVSqhZSHAD5AAf0ayHL+IpiARA9Bk8w/uIa9m94F/t3VS/mUTpf0wpuBrQJUL21CVC5dStEb1zpze8R60Tx/bR2vE/U4osT94RYw2a9/2wvi/erh3CH4dUZhl+LWAxdfDxpEosjLz6i/IV5Qsso6wLIcuxenH712NV4xd8b4vDrO+kLbhB9ANf9703/+9z/PsX6DXzi4yn1CSBiFurLOMTD0HVJ95vtVay2812i/uHnmNahciI79Psm5HM3q9TaBKjc2gSo3DoI3RrF7LWuBMOnU/qxcOXG1btO8XvpCq9i61H17s25gSGbYBildfAtghcv3aFy0DrXpv9UjF0xBsXWjwlNPOnt5l5/ilUcEbUQGu8G4RPtYTh/13+XjlLmANzCYiKq1ZeO8AzzTQ6xfPx2uhfpIAxpIosvUVrJjVA9xQIW+1/D/IU3/DzvY3wA9Rssz9WsYmsToHJrE6By60oO2hjDzN30tzTywDDrFpZrXiJy6H9Fvz4/8+iXiLi84uwdoSekfjfnGMdAa3OI2EGJe+K8jQiuvfSGxWGA6Hck3M/+hPoJZC0kPYuX1T7MYT6QahQe+/VVQymdwq/4eD4B/gP9Hkblc1/G/Kd9H3vJF7xpPPl5q/ZCtRaqo7hI114i4gjqydCsYmsToHJrE6By66S5L55Z7ttb6tfME315HmD8808x3DrGsFC6gHltO/LPXSJXfoRh3gaRi9Da/QJbm0+w9b14hll7p+xDJN1c5TTKeoVyrZ0xOOOo8vTq9aPzLNHPI0gPeYKt+29jmD/B1vpLRB3Bcyyn8YzI5ef1+CLBAZQu0TlRU3mF+QgT335Iv5fhUJ7lFT/nsY/vmOjrlGsx2xugcmsToHJrE6By68QTU8+a5wQmZd7/PIbLmwQn/75/vw78kOC9K1aw699pTVvWsS0TOjm3iXi9+vDt0OewZytj5bf8GtsE526OvgbvUJ29ehi9IGIJZ8UxJb4uYevrOUIzeYw9L/lQqkc4822L6RlkbcNyfa9ah6lv07iUb1DvQI2pHN8qEd/Yp//cdG+Ku+ScT7NKrU2Ayq1NgMrtPwKafEtRihsLJAAAAABJRU5ErkJggg==" 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" 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" 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" 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" 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" style="display: none;"/></div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="Feature-finding">Feature finding<a class="anchor-link" href="#Feature-finding">¶</a></h2>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>Now we can use <code>trackpy.locate</code> to generate a table (a pandas <code>DataFrame</code>) of the feature coordinates. <code>locate</code> only requires a feature diameter. This needs to be an odd integer and can be specified for each dimension seperately. The order of dimensions is the same as the order of the image array, typically (z, y, x).</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [4]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">features</span> <span class="o">=</span> <span class="n">tp</span><span class="o">.</span><span class="n">locate</span><span class="p">(</span><span class="n">frames</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">diameter</span><span class="o">=</span><span class="p">(</span><span class="mi">5</span><span class="p">,</span> <span class="mi">9</span><span class="p">,</span> <span class="mi">9</span><span class="p">))</span>
+<span class="n">features</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>  <span class="c1"># displays first 5 rows</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child jp-OutputArea-executeResult">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[4]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
+<div>
+<style scoped="">
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+<thead>
+<tr style="text-align: right;">
+<th></th>
+<th>x</th>
+<th>y</th>
+<th>z</th>
+<th>mass</th>
+<th>size_x</th>
+<th>size_y</th>
+<th>size_z</th>
+<th>ecc</th>
+<th>signal</th>
+<th>raw_mass</th>
+<th>ep_x</th>
+<th>ep_y</th>
+<th>ep_z</th>
+<th>frame</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>0</th>
+<td>92.767466</td>
+<td>9.071401</td>
+<td>2.012498</td>
+<td>7546.110185</td>
+<td>2.860761</td>
+<td>2.665710</td>
+<td>1.405736</td>
+<td>NaN</td>
+<td>119.948425</td>
+<td>11471.0</td>
+<td>0.011464</td>
+<td>0.011464</td>
+<td>0.005139</td>
+<td>0</td>
+</tr>
+<tr>
+<th>1</th>
+<td>54.699074</td>
+<td>12.227642</td>
+<td>1.913505</td>
+<td>4283.319561</td>
+<td>2.822252</td>
+<td>2.610693</td>
+<td>1.350248</td>
+<td>NaN</td>
+<td>77.386081</td>
+<td>7476.0</td>
+<td>0.017994</td>
+<td>0.017994</td>
+<td>0.008067</td>
+<td>0</td>
+</tr>
+<tr>
+<th>2</th>
+<td>67.940818</td>
+<td>36.920317</td>
+<td>2.033795</td>
+<td>6039.499928</td>
+<td>2.930073</td>
+<td>2.924657</td>
+<td>1.355519</td>
+<td>NaN</td>
+<td>83.190037</td>
+<td>9711.0</td>
+<td>0.013646</td>
+<td>0.013646</td>
+<td>0.006117</td>
+<td>0</td>
+</tr>
+<tr>
+<th>3</th>
+<td>4.873056</td>
+<td>37.946693</td>
+<td>1.959903</td>
+<td>5162.618902</td>
+<td>2.897005</td>
+<td>2.790764</td>
+<td>1.331927</td>
+<td>NaN</td>
+<td>81.739048</td>
+<td>8632.0</td>
+<td>0.015448</td>
+<td>0.015448</td>
+<td>0.006925</td>
+<td>0</td>
+</tr>
+<tr>
+<th>4</th>
+<td>58.815615</td>
+<td>80.025063</td>
+<td>2.059816</td>
+<td>5191.155019</td>
+<td>2.814045</td>
+<td>2.593217</td>
+<td>1.386939</td>
+<td>NaN</td>
+<td>98.183590</td>
+<td>7986.0</td>
+<td>0.016774</td>
+<td>0.016774</td>
+<td>0.007520</td>
+<td>0</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>Because we specified different diameters for each dimension, trackpy we return <code>size</code> and <code>ep</code> (static error) for each dimension seperately. We can plot the feature locations on top of the original picture. You can see that there are no features found at the edges. This is because these particles partly fall out of the measurement box.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [5]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">tp</span><span class="o">.</span><span class="n">annotate3d</span><span class="p">(</span><span class="n">features</span><span class="p">,</span> <span class="n">frames</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child jp-OutputArea-executeResult">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[5]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
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" 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" 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" 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" 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" 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" 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" 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" 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" 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" 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" 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" 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" 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" 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" 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" 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yiz0+zZs2s/s7TGUpFKKo899lh1/NOf/nTguuwxqh6y7IkcSf1AHAWgXufsQcpRB3oey08cEVASlTMea1h+YmlWpbJU9rES9vJW6ZO/2+TZqpIlS3k81jrVU1nUSnisc+YCnh/c7qgsrM49/nmspPq2GSA5Y2AUBZDr95zk3UYKTcHznfs1ap9623M7uO3Tp0+vjtWEF5nUeAz5mvoMPPdZwo7MFRoRwqYz7q+u2zGPNe8NOiY8t3jsoqyf+juOJuL+G6uoIoXXWtQf/Dud6zx2fB01F0Vt5+fm83Vdsozf1rS1Pynnj00AxhhjjGmFXwCMMcaYHuIXAGOMMaaHDL0PANvH2GZ5/PHHD5zL2fQA4IwzzqiOuXqg2g43bNhQHd95550D12V7moaPsJ2SfRA4jCSys6mdkO1sHObCITh63chmnKtG17aKX5S9ayT2vtHYNscKboP6CnBGsagKJNttue907NhXgPsuGnedt6mQSu1vvlY0PjmbPJ/Pc59tpHzv1HVSc0b9N6IQ3VS47Ggqn2n/8s+8LlP27+gaQN2/aCTzNvL9yIWr8XzScDVue1Ol0jbVEEfbVkar30UZELl9HDbYtn3RXOIx0/bzWsztcaPxU2mb3RBov2/m/B6idnHfl32wY8eOzuvJCoAxxhjTQ/wCYIwxxvSQA8IEUMo1LJ9GEo7Keyy/cLieSlcsG61fv37guhxSpIUhWGrk8D0mkrE4bAioy9Hchkj2y5GT3Vku475R2bEptIXbyvfIZSmM+qBt2Bv3VSSpaWjm/Pnzq2MeH21fU3ght5nNB7nv5UwwbxZtTDFcSKZE1wmbpjgUSq/ZJAVz/7WVLKMwTTWP8VinCnMpo5GCGZaFo++3nevanibTD8/9VCbSVJtGAu8VORNjCT93av8Zy/YxOak++ixV4EpNCcOyriMcBmiMMcaYRvwCYIwxxvQQvwAYY4wxPcQvAMYYY0wPOSCcACOikrXqzMbn8HXUsY6dw6ZNmzZwXXYO0RoE7AzF92eHF3VWAgYdydhJasaMGeF1AGDjxo3V8Zo1awauy2iMc6oegvZxU5x5k/PcWMD9wW2NnAlzcbPsyKbOPE0xujye8+bNC68J1OfE2rVrq+Ou/TRWeRN03NmJkp3G2GkrcuDSecD9xZ+xUygQryGee+yspw6nnGejq2Mdrwe+B68hHbtorqdqO0Rzr2SsSjnr2HWJ6+Zn07nNfZVzFgQG+3q0uQa60jTu+6sN3H+5OiF8T+7XKKeEto9z1fBnqfwcQPPaLI9fffXVAYfoJqwAGGOMMT3ELwDGGGNMDxl6E8Dhhx9eySMshbD0XqISzKJFi6pjlmk5nhmoS7WRJJaTy1lOY6mIzQ9RF+di5tuiaYmBelpRvQe3lc0SKjHtjxKXXeOteSz5u1E8tcqvqTLQ2gbuv0jefeGFF7L3LUnFG7dJA8r3Pe6446pj7RtOo9p0HS19yn3J1+X00xGa8pj7lftDzXELFy4cuBbnZtDSuAyvRZ6/UZlrnd9RiXAgbUYEmiVkXtMqBbOpoOmaI91m2QwVmRK5TZzOuWv+EEbXQmrua380pSbPkTJ/RfkfWC7P7V18HV2jkZmKr8X9rnkteN3wHhGVgVaTE//Mcj23VU2HkSkxZXJyHgBjjDHGNOIXAGOMMaaH+AXAGGOM6SFD7wMwYcKEyg7EdpvVq1cPnKuPwnafOXPmVMerVq2qndeUpztlU9bP2EbHfgaRHUth+xPXLdAwwCZbMNvS9LtjFarENsJciFWTHTJXwpZhG3aU1z03hdl+p+Ocs0Vr+xhtA/dHLld6m3um4HHVfgbahxzyeHFbozWg1+T1xGGRs2bNqp3Ha62E/QK4X9SOft9991XHjz/+eHUchTepbT/l08D7htqkI9+C0YZjRiV21U+C5/tofG6iewH5+gdt111ELhSyi++DzmG2n/N6j9rH81DnBa8vHsec71YT+swcVsvrYMqUKQPf5VLzALBu3brqOBV2qL5sUR9y+0s/hO3btyf9UlJYATDGGGN6iF8AjDHGmB4S60dDxN69eys5i+WUSIpS6ZFlFZaGNEyKrxXJ1jk5jT/jsCSWtCLJVqUalmNz2b9Ybo3kP5Y0VW5mGZJD4FQ6bZKRWC5miS7XbjZrlORkOL4uH7eRZHV8U+3jErhRWClLpSw1ar/zZxyKphnyAOCYY46p/ZzKWKdjlyp12xWer9Ez5+B1wrK1ht9Fa4j76PTTT6+On3766dp5PCd4nkVzUseTy4Wz7M/t4VA5IA6lTYWSqZkkZV6K9gs1J/E5LPmq/Nsk1/M84bbqdaIQQiAOYdW5l8ogqmsxal9qvep48rjz+j3hhBOy3+XMqHq/ruablKk3V2ae52/UlxpuyHOfx4j/dui6jPazVMhrV6wAGGOMMT3ELwDGGGNMDxn6KIBx48ZV0grL5JHnbFvPzrZFTkpYqlH5t6uMWqJZozgLHMv46uXK3qxRW3PFS1juZFm0KQpCyUUaME3jwf2q/cFjzQU0orbqc7LJheXyXJGTSGZj6a9tVkAmGh/tk1TGQx13bmskW3ObRpMFLgfLsWeddVZ1rFEAauYAgHPOOac65md54oknaudx/6xfv746fvTRRweuyVECQHotcn/pvhGNEc/FXARQygQQZfnMmcd4nukcbYpIyJknU/AzRc+va5ol9y7e8wrfS2V1Xn9smovWGnvS61x/I4oVcVvZzNdkrlBOOumk6pjnqGaqfeihhwa+y0XHyvHas2dP5/GxAmCMMcb0EL8AGGOMMT1kTEwAt956K77+9a8DeF1yveiiiyrJ57bbbgOwTw65/vrrAaS9UgcamCnkoeSKWESe+CWpogyjIVXPvoQlbj0/lywmV4cdqD+nJqFgGZJlzjZFTkYiNTL6vEBd/lZptkuCEpUs27aV52AknbGnbW5epOZolEhI5XG+L8uZo+1vJjUX+fdRIRP1JOe28mdcdAsAZsyYkW0Pm7u4SJDe45lnnqmO77777oHrLF++PPndFLmCUBE8B/T6vBY5wkaLxwCDJgBuR84cx0lnIrMnr1Uez1SBKqC+tqJoKp3rvHa5D9rUnud+4Tmme0zKrBaNaaoAG1DfC/g59fpN66ttMii+fzTu+l1uB0etcbSA7n3RuK9cubI6LuePTQDGGGOMacWY5AF43/veh/e9732131122WXV8U033QRgn1Jw4403AgCuvPLKsbi1McYYY0aAFQBjjDGmh4x5JsDPfvazAICPfvSj+MpXvlL7bN68ebj99tuz37/55ptr/xpjjDFm7BmzPADXXnstgNcdGz784Q/j8ssvBwB84xvfALDPGfCpp54C0N4EkKroNJo0j1qZix1CcvG6wKBzDTuSzZ49uzrmaoVRlTJ19ODr5mJZ+bwmRzl1eOKfc7HskWNQ6vy2YxI5JbHTjKa35fHiMYnaMX369NrP3N85p5imsWbYgUnj3rmtPO5RW3VM+Lu5KmgjzTeRgx1GozwI2lYeQ243xzMDwAc/+MGBa7HD009/+tPq+Mknn6ydx8/Jcf6pSn8MO2TxMferztEorXLbeZHLEdCFVAw8UHdSjJxNeb5x/LiuYV4H/Jk6egKDDqGjSR+dqnKn8y2VDjmqfprLl5H6e6GOdKP5s8fjzs/BqahTcCpqXk+8V0QVKtvS9blsAjDGGGN6yJiYAG688UZ86UtfAgBccMEFAPYVSSgdAT/+8Y8D2PcWdt11143FLY0xxhgzCqwAGGOMMT1k6GsBsB2H7S1RkhUtkcj2J7bbrlixolMbUiVKgbTNhdutdr0ITv6jJUsZfu6oxC63h/PXA2nbptoLo4QWDCcuyfkANPkHpPwegO71CRhOkMRzRvt1pHZ1tZtyW/mzyJdC5y3bW3MlZdmGGdmb+XeadClVUpbnQ+QroW1lOz5/pt+NElktWLCgOuZkSDoGbP/keRbZRdVPgtc7zy1+Tu27qC9TiZ004VSXZFUjJdfPOXQ9RftldB4w6K/D5/Dc0ueP+oOvxd/VxGy8bvg5oz2Lr5OrzcLrT9vWlMSIn1n9RFLjENVF0X0sta/xPqDrN+pXbj/PYfsAGGOMMaYRvwAYY4wxPeSAMAGUkhw3NcrhzTnGgXqIDEtgKuk0dQHLWCpd8XVZ+mT5qU3O7NT9NK86y/qRhD2SUEmVByO5kKUrlqg4p7dKhyxNRVIr5znPlRXmELDoOlpXIlXmVyV5LjcbyWypvlSJmMuAsvkkaquW+uS+5vBUNVew7BjNff48Cp1qoqkcsv7MMn4bEwCbMHL1Pbif+bq5sqoRPLdyefFz5jZgdKHHObhNLH9rrQje03JrRD9XqXnNmjXVMfdlFAaYMhcA9XWi/RqFaqbMjhpqGJkzgXiP4/ml7U+tUw39juZgap8eTQihjhn3LfcBm6+7hpRyOeCuplMrAMYYY0wP8QuAMcYY00MOCBNAdBw1W2UdltNYNlJZhiXkJm9jLcHLcg1LaywnRV71Krmy3MkmCv0uy2xdZGuFn7lNdrRUdkJ+fpXYuS1TpkwZuCZ/NyfFjtUUVRmQrxt57KeiFNg7Xb/Lcy4q16xzj+cM94dGjnBp561btw5cl6+jXsSpkrI8B6O5pFJ+KgNaLiqihPuPZV29B893nj+RFKz3ZXmV+5LXlpororLkbGJJRSUA9bHme0flWxWei6mIBaA+1jp/gbqJgMdZx2Djxo3VMZsR28jNTaXNc6TMPbmIIZ5bHHlSwvNQr8P9xXtKGxNS232G788m4TZmhTZZJtW0EplpUhE8jgIwxhhjTCN+ATDGGGN6iF8AjDHGmB5yQPkAMFFIzLx582o/r1q1qjpmG+fcuXNr5/HPUTgU23E0ux6HkrEthm2CfE70OVC377ENXp+fbelR2Ap/V22RKf8ADcmJMl2lbIVsr9Lv8XW1Yh9QD4lrm22rTaXCVFU4tb/x9zS8E6jb3nJ+GWxHZlujVskDgHPPPbf2M8+nhx56qDp+7rnnauelqgZGv1O7OocFdqmAmGN/hcel7hGFpuWqXbYNG2zyAeD+0jA33lN4LkV7Vq6P+HwNh2Mb+Lvf/e6B706bNq065rDnJ554onZeWYUVqPsyRPtoLsPfWGU/1D6K1nXq99xmnRe8f/Nz6l6pe55eN9fWVBa+aNzHor+idrGfT9kHL7/8cudwWSsAxhhjTA/xC4AxxhjTQw5YE0AbWE5jyeR973tf7TyW9lQ6U1QK51ATzgiXk4yBwcJFnKkrF2rDoT4a7gXUpWA1V6SK36ikHMnEIwkFGk34EBdv4myIUbigSrM5MwjDMmAUpsht4D7Ra3Kb+JpRdjOV6NgMwnOdpV0lCtM8/vjjq2Ptj3Xr1mW/OxI4BE7l1UiGHM1c2J9E8iqbn3hMcu3OmcIi+Lo8Z3Sv4OtGZjQ2XfFc0jHhz1iWjsxJSqqA1FgyUpMS77lAfV7yXNd2R9kq+Xe5vzsp01Q0l3QcuC953Nl0oesn6nPuo3IMd+3a1TmLoBUAY4wxpof4BcAYY4zpIX4BMMYYY3qIXwCMMcaYHjL0ToDjxo2rHIjYuaZNPDg7YXFMqDrPpfJQl7BjTq5cJztbPfvss9VxFK+vjkKp0pWas+DEE0+sjs8///yB67JT0Le//e3aZ+wItGzZsupYHYEiR7FUCWDuc51KPEZRCVvuF3V0YWcWHpMoH7o6O3Lfcpy3zo+mmFnuF3bY0fzk7LD34IMPhvcu0ZLVs2fPro5PP/306phz/wN1h8R777134Lq33357daw569k5ifuZ+yOKi9YxS8VYq0MVO6qWsDMb5yXQ9cTnaenkNxt18urqcJWCHckWLVpU+4zXf7SGnn/++eqY14E6y0a5SID4GTR2ndvHc1r3jcixjtuU22dTDttRbRZet+qsxw66vBfqnh+tfd43cs6ObR1D3yjKfXbv3r2uBWCMMcaYZvwCYIwxxvSQA9YEEEnBKquzlLVw4cLqmGOmgbrcE0llLG2p5MMydirGOsoDoBITy2zvfOc7q2Mu4wnU031GMbws5WrcP8tjLGeqHBalr2wTx50rzxrJg3y+xr1z/7AU3CbGmmVkfk6VAXm8IjMNw8+iS4b7gyXbxYsXD1xH+5pNRSx3ajlg7r8obTFLsyqdsxycygXRBp4D3K86Jk1jxPKvmvJSZplIqs7Farfd1rT0KtBujun9u26jvE5zOR/YXBL1QcoModfktvI+oPlIgHypXt531SQS7ck8V3kOq9kutXdG45OT3blf+d66N0XzLLXP58aW79FmDvDc4rHjduszR8/Le7TLARtjjDGmE34BMMYYY3qIXwCMMcaYHnLA+gC0ge22bFNdunRp7Ty2vzz88MMD12E7GYfdaJtS4YL6HWDQ5swhPmxX0lzXJ598cnUchapwHvitW7cOfF7Ctlf1e4jsitwHKXu52gS5PyJ/BbZH6z3ZxsW2+yjETH0W2MbJ9jMNy+NrRbZxtkvyddSXgEOYeOwi+6WGELItksNINZQvCgFjVqxYEbYb2H/lekcKz4tUGVigPucie3/b/YD3AQ07jHxT2tZL4PHlZ4pKF+ta5THhOaBriMc9sgWzjwCj6437qus+yvD8Vl8qLccO1NcG70fqe8A+Abx+dR0A9b7UNda2/G40Rjwm3Ecassh9wH87ojoluVokDM9v9fGJ9s6oFsC2bds61/qwAmCMMcb0EL8AGGOMMT1k6E0A48ePr2QxlgujMA6VCVOPxuVl9bwo+xjLcCrHcOgLy1gsk0dtVTmPJXDODnfxxRfXzmOJh7P5lXCmQL0Hmzc405zKVGNV8pPluWgsNCsekwpticwP2r/8XQ7/VLmZZfPombn9PAdUZmTJjk1NU6dOHbjm2rVraz+zFJorY8zti/qS56WOO//cJXOZ9hd/lz9TiTS6B89vPtY1G5lNgHZzkk0zqRA9vU6THN62jHFT2fLcNsv3UPMS3zPaR/i6OdMK9yubQaIwQH1O7jOe+3qemgSAegnj3JxhqX/VqlXVsZa2BvafSYv7hduqZiKev7z/R+XZ9bup/uP1mzOHRvcq/z6++uqrjeHMihUAY4wxpof4BcAYY4zpIUNvAjjssMMqaSslmZSofJgqAKTnsfdm5EXJ8q9Kayz7c1fy/biQS4l6nXPGP5aV1FzB9z/77LMHrssy4X333Vf7jJ+T+y8noUe/a+tp2wR75U+ZMqX2GXvEdynaA9T7PmeKUY9rhT18I2/xEvYo5rGL5GyVPnlusdyp9+OfmzyYVQZMLXGWZ6MsbnqfVDRMV5MRy+UqnfOY5GRRID+evE74+bUvxqqgD9PktQ2MbA1F1+X+azITRd+J5qhK2TxneQ5oVA17/Jek5HL9Lu9NTeYUNl9q0az9MZ66T3QpBqTPsj/bt2fPns7FiawAGGOMMT3ELwDGGGNMDxl6EwBLKJGXJaM1zflnlp80uQTLWk1ys8r5LGWxrMcSaZQgIhexwJ7k6inPsm3UH9weTQR0zz33VMdaZKgLUe14YFAqSxUCKcnV9WbZscn8oPI1y5osh+fOixLttC0Ows8RyfNMrg46mz2i5FE5OOKgbcEq7vMoIY/+jp+NE1Tp2EaRNCnpU+dSWxkbyK8hbit7p+v8iZJljSRRTlO0gK4Nnnu5uZVLlATU+6CrB3hb+B78HJqwRpNcAfWiRDz39Dm5EBbvz00RJTpWPO48t3LJwkq4//bXn0XuSzbpdJn3QH2fLxOa/eIXv+hc7MsKgDHGGNND/AJgjDHG9BC/ABhjjDE9xC8AxhhjTA8ZeifACRMmVI4dTdXb1CmOHUTY+UIryrEDSpS+lR1GotSUTURxrbluZ0eWXAU7dSgD6nGxel9ue9d4VL5WKu5dr8mOLVGseK4P2EGGcwREsfvq/MROaXxfdkgC6s6f0XxKxZXrs7BDV1StkFGHUO6D1P30npETJjtk6TjkchiURHNUnSZ5TNipSq/fNN+5v7Stw7YdpVIK51DnOGCwL9khjvtSv8v907XSWxsiJ0N9zrbPHc193r/Y0VadZXlOc4XDaJ/i/lKH7lTa4jak8g+ogzDvu9zu6G8D54nJwWuijRMq/60r+/iFF15otdYZKwDGGGNMD/ELgDHGGNND/AJgjDHG9JCh9wE49NBDK5sL2ze49GWJ2nE5iQTbVzW5BCdjiewvbJ/RBC18XbbLsG0tsrPpfdiOzXavyM5fEtl72CaltnG2u7GtUZNiRMk32D6W8q3omoc6Z1/lBEjsAxDZQXMJYdhGGJU+Td1f4fmWy33PfRzZIDXRVFfbXxs0vzvb7nlONI2XzttU4iD1U4n8KbjP2s4Tnst6D2BwzHg98Gc8DqOxC+eS9LCNP5ofastOrSHt8y5zgvsr11bu/9HUcWjzp4NL7GpdE4bXJvtkNSVmy7WP762+Q5FvAe8t3O/q28B9yftLNLdy3+U28Hnz58+vfSfqgzVr1lTHpZ/Bnj17Ou8hVgCMMcaYHuIXAGOMMaaHDL0J4PDDD6/kV5aJotztKn+wlJQKYwPq0lkkoeQkM/6sKbd6rq0jCTeKyJk6UvLTaGCzB+eH13tEtQdGUhI1CtXpaiaJaAqHajsmoxlHlupVxuf2RWaQVA50IF3ONSrfyuTyivPc0rZGkiWPNc9RHc+UuSIqW6vyKreJv5sLxYrqabQ1k3Cb+DnGsuQrmxaitrL5LspvPxK0r9vKyk3hnzwPdb2l9tFon2dpX/cQnt88Dto3Uc0Ofm7e59WUmjLfRCHK+pypcuFsSmhj9mCTWNkfW7duHQiLbMIKgDHGGNND/AJgjDHG9JChNwGMHz++kkrYizSSu1Q6YTmRpRiVNlnGieQXlq70vnxdlnSa5G2Vi9jLPCVjAXXpJ5JFWSbUzFTcdn4mle4ib/k23uo5T9tIvmTvfh0TbivfbzSyusq5fN1IEuTvctSEtpUlQu6DSArORSy0Jco011QyOaLJXNFWCuZ+AmLPcp5vLOHmxj3XFmBkJqQ2182V503B5q9orqvZJrXn6Hk8h6Jx5/0ntWYUfubIfJaLUOrqZc5mJr5vbg01kSu5ze3LmW+i5+b2te3L1PdT32XzHB/nMj42zcFyDuzdu7fzfmIFwBhjjOkhfgEwxhhjeohfAIwxxpgeMvQ+AEcddVRlK+6aIYrtsbnHZDtaZItim5Pan1LZBnNZ57qQsxlHYVxsc9JsiRwSx+EiaruPwllSlcjY/ts1qxjfR+1nbWxlJerrMFYhlW3h+7GPRlS1T6sBcpgT20Vzld+i8eGQOJ2jKVs5z93ofm3HM2eTLeG+yPncsJ2bPxsLe39E1JepMD4NO0xlmotCsXLhWbyOdU2zLTqyMXNbc/fg/uN+jcZupBUao1Ba/h3vTXoujzvvKVEoKrcvVcFP0WqM0XPnfDFS8JhE61334NTfCG7P8ccfX/tOdN3169cPtPXVV1/tvAdbATDGGGN6iF8AjDHGmB7iFwBjjDGmh/gFwBhjjOkhQ+8EmMq1rA45wGASEXbomzlzZnWsDihcWrEJ/W7K0TCV+7xEk6ekkm1Mmzatdh73R+SwyE5m2lZ2OJs+fXp1rA4v69atG7hu6nnYeSXnONMmScZYMRLHxMiZKFXqWB2K2CmpKcmKOod2LXc6ElL1Ibits2bNGvieOt6xkxlfR8/r6ojUhqgv9b78M48dO5hpkp42CcVS8Dzj9RQ9/5YtW2o/89znhFinnXZa7bw5c+aE9yvZunVrdfzkk09Wx1p7I1UPISqrrn3Nz8NOebr/NNUC4Hmo902dF40Pn8v9DtSdcHkv3LRpU+28puuOhKgvtU943FN7vu7b0d86ntPlWty2bVvnehBWAIwxxpge4hcAY4wxpoccUCYAlkZyeZ5LWDLjY5UOu+ShzpWx7ELbPOsqWbL0E0luLNep3MzX4roKLEECwOrVqweum4pR52tqv7Ik1iQLq6zO0mZTedWR5tfPlU5O/a4Jfg4tjwwM9jX3EZteNF8Ax4dHMcy5cqLz58+vjjnGmMdr2bJlA9fUecD9mou/bspZn5PYU3HjI11nivZdZFpgUxnPPZ3fvIb5mSNz14YNG2o/8zzh72rM99SpU5NtB+p9yXlStL/YJMD7XRRjrn3CP3N/PP/887XzonXHa4zvpXOEc5TwnhK1j9uveQJSeVm4H/Wz6Ls50yabc0ZTp4TbMJrrMK4FYIwxxphGBl+DRkj5BnPxxRcDAN7//vfj1FNPBQB86UtfArDv7fHP/uzPANT/V2KMMcaYN5YxMwF87nOfA/C6pLl7927ceeedAIAbb7wRAPDcc8/hhhtuAAB89rOfbdfAQw6plTss6epVztKiemuyzBSZA3IpNlOkShGn7sPDwJKbSlUpL9IS9oJV8wGfz7KWynEqlwF1L1r1aC7JmUdU4gfyEQ0sNXLfRDKopk/lZ2MzSC4daORpyymGWf7NjR23JZKtVU5M9ZGmA+XvsVxakittnCprzM8XeYlrBAq3lb+rz9m0paRKxAL15+A5ED1zW7MA30PNMmwKi+7FZpDcuPNx1C4dz7e+9a3V8cknn1wd6zzkvSfah3g8n3nmmep4xYoVtfN4/TaNj5p3orULDHrSj5WZpskEwPu3zh/eL3nNsEkRiM2KfC3ug5wJkve8rvt8yiSi14miq/i6ZVtdDtgYY4wxrRgTE8C9995bvcEsWbIEAPDYY49Vn5dvVvPmzWuMub/55ptr/xpjjDFm7LECYIwxxvSQMfEB+MxnPlOFhKxduxbAPjtxaXv8h3/4BwD77FJ/8zd/A6C9D8Chhx5a2aA45CXKeKS2bA49Y7tSzq4elfFlm6qGyKTCoTiMKzpH7Wr8bDl7IrclCmXJhUqmQpp0CkR2dr4WPw8fc7ZFoJ5dTkOG9L5RaeMSts2xj0PJ3XffXfuZbbijKSObKlesvibcr9y+yGbb1k7KoWhAvX8i3w9ua5kdbW4xp/7llCk4rDg+unC+XXX22XiEbIuaKQ0Afv7zn9d+/ulPf5ptQ0lkt+Xf8dpV+yqvYe6DKIxUQ8B43rL/QqlKAoM2/+i63JerVq2qjvWZ+f4cZhf5yOS2WX7OuXPn1j4rHamBOKx0+fLl1TH7K2ioJc877v9orevemmq7+o2MJrNnKnNjZFeP/EFK2N+F/Sl03UV29VR4auRvFl2365/SVPin/h2L1hPft5yHr7zySqeQdmCMTAB/8Ad/UB3fcccdAPaZAMrJe8UVVwDYtxn/6Z/+6Vjc0hgTMHP3bvxfTz0FAHhH8QKya/x4bC9egI988EEAwNl/93c4fcECAMC3L74Yg3/+jTEHOzYBGGOMMT3kgMoEyFKZhigB9dAkIB2uppI8h5VEkjFLQCoTsezF0iGbHCKZTaUtlou5DVEBkOgeJbmQOS6cwfKdyqBR2AvLaRxSw1LaMcccU/sOP+OFF144cE0OjdKwpfvvv786Zlkr6g+V2nmMuH3aHzyfImle51NJ2yyOUUY8lqOB+hzltqo5hYlk6zOKvr/+wQer9n3rzDMBAD+cNQs7irl5RDE/3rFyJS579NHq+//6He8AAGyiOfUofQ7Us9nlpMbjjjtu4Hcps4yuAzaN8VxWuR8YXMdsJmG5nNe3Fo+JTE98L87O+Oyzz9bO4/nRlKVU5wi3iddxFIJbEpn8WK7nY+1XfiY+LxrHttlOc+GmJTzWuWygXbK8cn/pPblfuc/VbBD92eN9r21BKN4LdG4Bg6Ze7gMeT26fZo3s8ifaYYDGGGOMaWTMMgEaY948/nVh9weAP7noIgDAluJ/H/y/jh3F/9ruWLgQy088EQDw+//jf+ATjzwCAPijt7/9DWmvMebN54B6AWjKiqWw/MISi8okTZJTrnhGyqOZJbfIe1fly1RNeZUEWZrS7FZA3TSiHvN8PstPXEQEiD1vUzXBU20D6umeI/mP+279+vW1z2bPnh1+N8pYt3LlyrA9QL2f1bzD/RF52qY8/1XOTcmXkYz4SPGHtoTNENy+p59+unYe14U/44wzquMZxVicWxTz+YcPfQgfuuaa2nfZ1ML9d++99wIAHnjtNfzaf/tvAIC3FvNw/VFHDZiYuI9ymS4jk0iuuArDY839H0mbamLhvufnZHOKZuSLarjz+dzvKudy5ARHC0TjrlI7Rwlxf2j0B2cMjEyafN9UgSGgPrdyBY6Awb0ptQ70u9G1eA7xs+l64/Hl/ov2Zt43tK+5Dfwcuv9EbeU5yn0ZRR6VcHRTGQHHjKR4XK7QVkSUKbf1dzt/wxhjjDEHPH4BMOYA5ty1a3Hu2rXYPWECdk+YgMcLx78uPHX22dg5bhx2jhtXXc8Yc/DjFwBjjDGmhxxQPgDGmDpHFLbNVwpb665M2GiKXZMnY1vxvSMyoVrGmIOLA+IFIHJKi0pUqnMaO/6xg4deL3VeCTvMaZpMdrrjNMKp/AAl6sTIDhw5RzJ2yHnb2942cN1Uyk8AOLHw+gbyTpFRDDo7MS0rHM6AujOYxrjzdaIUy+z8xM5WQD2nwF133VUdc7rTNnB/acxwzplI4TwIeh12OGsqWa0OReyMxG1Q5zSOV2cHyQmF8+RhRSnYKZMn44knnqh9l52TTjrppOq4TDs7/pVXcFTRjkOmTAGwz3H18ccfr12H0+jmHDhz5VOBer/oOmanMb5HlP5VnQl5jNjJjOeSOp9FDovsVMqx/vpcPF58nShNucJ7EH9XHf24r6LcJ6ecckrYVk29zQ6vTSl7dQ9MOdZFe6WSKkE+VqhTJ48R30/3/Mjpl+ce57LQdvPfmVRa9JK2jnn83a6x/KMpw2wTgDHGGNND/AJgzAHMowsW4NEFCzBh925M2L0bi+67r/M1Zv/oR5i4Zw8m7tmDh9/6VjxMoWfGmIOXAyoVMBOZBXJSSNtUk00V9jSelCW6VErhSBLUGOuUPBal+236TopURUSNUY76h6U1HhN+ZpZggXpls8WLFw9ck2OYNe0sX5fNJdH4qHmhjQSrNFVAbFvpLDdewGD8MZ/P/bdw4cLaeXz/KH3rfynyBpy4fTs+9Wu/BgDYXFSuPO2006rzavkfHngAAPAfbrkFPy/m+O+SKebJJ59MPgfHmeuYRPOHJXyeP7qOc5Uwm2BZl00tbPrSvBrR/sJjxOaAqKJlCbc7MnfpuKdMFGpeyu09QF32z8W9p/oyev42eR0ioj05lbZXTTq5NMFKJN+X8NrImSu63E/h5+TqsNEeomYjnge8x+VyDXDOiBLN3VLiVMDGGGOMaeSAcAI0xuT5bKEY/OUjj+Azt98OAPjvJ58MANi6aBF2Fv/7mlj8D+m0Rx7BO37wg31fPuQQ/IegkIkx5uDGCoAxxhjTQ4beB2Dy5MmVnYXtJFo+NoLtTxxCo+GCbM/UUoxA3X6m5UM5vzXbCNk+H5WF1ZKpbOdhG6Lau7gtUT5rtseq3Y9/ZjuWhhdFNjZuX6rEZy7vNdvKovuonXFKEY4G1PsqGp9caCC3ITfVo2dO+Y3kSuF2pa1vCteT0JBJ/t1x27dXhX3OKMLzdk+YUOUJOKyYlxN278bDxf/6bzjnHHyr8AdgotzmTW0DYnsm2yx5rDXckddmKtyqREMIeXzZrs7t0RDXqIRtyo9Da04sX768OmY/lbY28xJes+pPwXtHFAqZCh+L9oZhQsczVca8qa6E+nSkSuymSsMzvAdwv+t6b1sqGGhfOnw0cC2Arn/ObQIw5iBi8+GH49r3vhcAML34o/QbO3fi0OIP/57ihfWZM87ALVLf3hjTL2wCMMYYY3rI0JsAupRGVKk9FUKTy1Sm0jxQl5xUWmMJk6V7vkdUwlZlUpauuMyoypz8cxQewu1RqYrD46IsdSWRHJ4KrcuZHHjsIqmVf6cyG49XLkwKGMyqmCp9qvJqU8Y6hk0Sas5gcw8/RxQOpqTGIScVRt/hcVdZnecvjxGHkKVKPKfgOaLtieYPS7XcPg2t4zHhOdemL/k5+ThXXjYyz7EJgPslN1+iELgcI8ne1rVMLJPa5tuEATI8L3Xco3vwmuO1q2F4qbC8KLSO79N2TPSZIjMPP1vu70XKRNF1TLkN3Jf6Nya6Lt+3XG87d+7stKcBVgCMMcaYXuIXAGOMMaaHHBAmAPZyLIlkUJXzWEJkKUpl9VzxHaAuyagErVEB0XUiWUZlHj6H28NRBnrdSKrLFZVQaTjVvkgO5mulsv+pqYO9cKMMfjxeWtSDZXU2ibTxbua5MRqv21TGutw1+Zkic4VKnWwy4O+qjN7kecxzhk0mek8eW/5OJLWqPMx9MH/+/OpYTVGRxzWvOR4fNf2kpP5orut6T61Fbl/kST8WjKaYS26+8nM3Fd/JzcuUOTQyAWi/pqIidC027Z3cft3X+Dweo7Fav/qc0X7E48Dn6/7In/E61UyoEbxH8lzn9ujftmju8znl+Gzbtq1zFlQrAMYYY0wP8QuAMcYY00P8AmCMMcb0kKH3AeBMgGy/bGMbSoWz5MLVInJdxLYY9S3IfT8XdsW2JLXHbd26tTqO+qBtZjkml5UrOofD4NjOrc/EtrPIZ6OtfW809lVGbajcpmiucPvYRqn2Q+4Dbmtkj9P287VGU6GM0b5Wn4ASfqaoX9Uen3pOteNHtmr2G0mF2UX3LInC9XTMuL/bZpYbSTheE21CAlP3zWWOa/L5GYm9vE0YYCqbpq6DaP/jOc1+PXqPXBhcDvVP4Ofh+6k/TrQf8b7L11W/EQ6f7Rp21wbtm2iMIj+sX/7yl53Dea0AGGOMMT3ELwDGGGNMD/ELgDHGGNND/AJgjDHG9JChdwI87LDDKucSTugRJXLQRAzsMMeOLLkEJ02ONPrdlHMcXydq69y5c2s/c/KUjRs3VsfqUMVOJ5FTUC5HeyqZjDrvRMlS+L48ZXLTp8m5ksvIqsMct3U0znHc9/vDYacrOQerHFyjIupX7iO9JiddYQcrdmYay/Kx0Xzn9cBzRhMesUMhX6cpJzzQrkzrSPsfGHQk4/WeqgPSlVyyn6YxalsKnImSg+l+wM/G49P1OfnZ9Ltj9WeIx5fnls7JKLkR//3g8zWxFSfzGU0tAL4f97nOY611AsTOmHv27OnsCGoFwBhjjOkhfgEwxhhjesjQmwBY7syVsAUG5b2UZMalSfW6UYldllVGErse5YTXkrJsEuA86xs2bKidx2WEZ86cOXDd9evXV8f33ntv7TPuD5aMVWKPZMiUCaCt7KW5v4G67KX9qmViS6J4cJX3uO/5mXMScSQJ8r24fWqu4L4ZTc4Croegz8RjFLV1+vTpyfs+9dRT1THHRs+YMaM6jtaWxuRzG1gKVhk5mu86j0ty5rjRSOl8HZZadY+I5hPvAdxfCs9fXpfR+LC5BUiXZVa4fyLTCl+HJW/tu7HKMfFGyPjcf02lyfW5eJ/hEt66/0R9yfOWx1NNIjw/Vq5cWR2vXbt24Jr6N4j7j8eW56HWtIj6lff58h579uzpbIawAmCMMcb0EL8AGGOMMT1k6E0A48ePD+WaSNJS6Zrll5wpgVOlRvIlX1dTLabkO5YaI3lVy9+mpOM5c+bUzjvppJOq43vuuWfguhz5oBIuS+A5c0pU1pJlt6YUshFdUwHzmLOUF6W6zMm0jMq/OckdqEdDcPtzEQvcH1GUhpptWF5kWV09f/kznTtAXbLUOcxRJanS19F60vkzEvNXSZdIm7bkUlhzH/DYjSRyYH/D+4u2j8crkne5X3kuad9wf3D/58wPEaOJquHnVGmcx4jlcE0zrffVdct7Fx/z+gDifZ7XFf9N0DLnqe9EJoCHH3649vPmzZvD6+TSR3eR9bv+ObcCYIwxxvQQvwAYY4wxPcQvAMYYY0wPGXofALZlsV0msoNqCB/bmdhupDZItgNqiCCQD9lJhd50tXOed9551fGll15aHetz3nLLLdXx/fffP3Adtoez7VfblwtXi+xRbE/jZ0uVbwXqdr0o4xjbndUm2JTxMHUfoB7yw/bEXJnNKPwzysAFDD4LzwHujygMNWfPS9mtgbp9N5qjOT8V/pn9GngcI3uuhsilQqM2bdpUOy/VbyVjUbIaGOwjvhb3R2RHzl03tSWqjxHfbzR+DfwcGkLIn0VrLZVxVK+TCuFsw1iV425LKlSuJJd9j8/Pza0o/DMVuj1r1qzaebwX8hqPyn9rGCOP55o1a6pjDnvWed0Uolyup5deeilsQw4rAMYYY0wP8QuAMcYY00MOCBNAKc2w9KnZmYBB6ZFlEv4sKnaTuy53kcpnLFexbMRSfJTNSmUelkU/+MEPVsdcBAaoS9VRdjWW+tQEsGLFiuq4SaZtS9vwlei8XIGmVEgXZ7wr0dC6E088sTpetWpVdaxhOtyXmpkRqEvebCbiLFxA+zDEiFRYlYYpsQyokiSQz6B32mmnhec99NBD1XEUXqlmkdRzat9F5gQe65x5p0vIk5pCeM7weOVk0SjrJe8BubFlKZifKWcWK0nN/bEKkXwjyK3ZEp7fqYJQSiq0MbqvrhO+B3+Xs6sCwMKFCweuy23iMdQsgrwvcKEgzgpY8swzz9R+Zqm/bXbGKESZ/7aVf0teeeWVzuYdKwDGGGNMD/ELgDHGGNNDBrWFIWPSpEmVxMiyTCRhq3c2Z5DLeR7zZ5HHJWdvUsmSpT/2CE15ipaoWeAd73hHeM2nn366dh5fN2rrtGnTqmOWv4G6lMQRFSpZNnnds8zGfa5SMEdMNBUYymVkO+WUU6rj008/feBzNZNw9kSWibXIxqOPPlodR/Np3bp1YXv0WXgsm4rZqJzH1+I+0DFgkxFne4zaoJkc2WTB8inPlcjbWqVPvi73jWY3i+Y7y6s8T3Qd8NyK2sSoKY/lz1RGRl37keTO8irPLc0Ix6YFPt5fVlXNZgfU28f9qmYPNn91NVnxGuKoJF3vkaTNe1BkZorgMWr7nRKeT7zWdI5GUT+pzIa6ZtkMyZ9FGQPVRMFrKJVhUO8X7Y08huXfuZEUfLICYIwxxvQQvwAYY4wxPcQvAMYYY0wP8QuAMcYY00OG3glwz549lRMEO1BEqYDVieO5556rjtmRYu7cubXzOF4+iuHleFJ1rkk5juRyDQCDcajsLML3YEctoO4Uw/HuJewcop+z8xg76KnTUuQYxU5oUV4DYNDRhvsm6id2ylPnrFQOgaiMp8YKc3w7f/b2t7+9dt4JJ5xQHd97770D102VSo2c3NqifcuOO/zM6tiYK98M1B2T1HkvNdY816OcEjovOIaZYWdbIHZuSsX+63rqGsfM8NzgY+5XdZSK5iX3BbdV+4N/ZofFKFeFwn3P7cvlLGhKV53KSQKkU2I37VNAPdadj3VOdslhoA653D7ew6L2pcq8A/W9Se/BRLH1S5cuDdugTpOpVOi6VwP5dctt4HHXNRA9B//9O/XUUwEMlh5ugxUAY4wxpof4BcAYY4zpIX4BMMYYY3rI0NcCGDduXGVHYfsOJ3spUdss21XYFqx2GbarR7ZQtu3Mnj279hnbELksKttxIjuQ/o5tYHwdta+y7UcTvmj7fvSjH9U+S9kd1WYc2Rq5j1K2vlxu8CgREI+Xfs42TLbVR74f+jsek/e85z3VsfbXI488EralhJOnPPjgg9Wx1lhgmkqnaoKf1PLT33PipsgmyOerHZl9QRYsWFAds20zsu9rEir2o+H7tUnWwuMbzYUSHjs+L6rVoLA9nMczV5OiqSws7xvaBk6CxbbxNnZ1/i6PQy5RUZsaAyVNSZRKon5VnxruM26D+k9EfclzMbfn8Hf5vChBF19Tn5PnDNvY9Zl4PZXwnszX0efiNvG4R/ui7iup+cRzRhN9RWN05plnVselb9M//uM/4oEHHhg4N4cVAGOMMaaH+AXAGGOM6SFDbwI44ogjKrkoFeZToiE+LK3xY6qszhJLJIWyXKfyKoe+sUTK+bOjXM4qQfE9WIJX+YklryjciiWnSOYqYRlLw04iOZzvy/JYLv80S2pdy5yyfMfSfRT6uGjRotrPLCHyOPzar/1a7TzOkf+9731v4Lo/+clPquNUSGAOrU0BDNZvYHmV55LObw5RikKY1qxZUx2riYBDTlmyZIk/kq3Z9ALUx5rXQZuc8HxffmZ9FjYn8Dwcq21KJeOoL/mctvnVU/UDcvcp4b7U+zWZEllK53brPOO9gvs4V4OjCZXVo/bxPOY5puYDnrN8HO0bXIciV9eA+0BNDtEex/fiugs6dvxzKny7RPcNPidlUlMikxm34fzzzwcAPPnkkwP1X5qwAmCMMcb0EL8AGGOMMT1k6DMB7t69u5JKWEZsk3Up5QmrUg1LP5Hkx5KlyuUs/S1ZsiT8fSQNqXzPnp8c7aDyKktXKmsBdS/dVDlboC5ddc1sl5JFta38HE0SukqWKck0KoWrsFzOXu/syQ8A999/f3Ucec+yRMfPpvJlqj8ir22dC+r1XaJzl8cyKgvL81K991PRDjw+0Vx69tlnaz/nstQx0bpjGZM/1zWbyq43GhNAzhQVzX2eezwvdZz5Wl3bxzJ8KvJB7xnJ9Syrc7v1OVPzrA3cB2xS0/UeRYOwOTMX9cP7YSrjZAk/Z65kNd9P9xM1AwPp7JG6jlesWFEd5+aytgeozxO+B7dV+zVaT/w8ZeRam+gTxQqAMcYY00PGRAHYu3cv/uiP/gjA6298p59+evX2c9tttwHY9wZ7/fXXA4j/F2OMMcaYN4YxiQL41re+hW9961sAXpeI3vve9+KLX/wiAOCmm24CANx6661Yvnw5AODKK69sde1DDz20kkRYJoqSTqgcxFIwS2k///nPa+ext3x0XZbo1DubP2MPTPYEPuusswaueffdd9d+Zq98bqvKjty+pkiInEcxo8V9Ikm7TWKRnMwYSfopOQyoPxv3cZT8SGGvd/bEVzMES5aRvB0lhQIGvZ9TSXg06QwwaOpgWZefTV+Q+R5dPde5L1NtjbYBlZx5jHIS6Wjg+c3rORqftvflPtf1HRUDSiU2Gk3xG10//DPvPzpncp79QF0u5v5QU1nOW17JFbDheaJSta4LoD5u3Nfad/zcbB6Ikl6xXM5mYaA+9/mabUwgfN8ZM2ZUx5pojNvOzxQlUNM9hM/nseXn1DkaJQJiE0b5nCtWrKhFNrXBJgBjjDGmh4yJCWDZsmU455xzAABXX301AOBDH/rQwP9Q582bh9tvv30sbmmMMcaYUWAFwBhjjOkhY6IAzJ49e8B2NXHixAH72qpVqwaK6Sg333xz7d8dO3aEtusoJEZDeu66667qmG1Xau9km2pkC2X7jGZ3W7x4cXidW265pTrWcCqgbmMC6j4AuXAOfsbIVsfj0Da8T/s3ZwME6jawyM5dwja1rqGG3Je5ELyoDWwH48/0udjOHtnZ2L7I7W8bbtPGrs59yTZEtSey/TcKYTrppJOqYw59BOr24Mcff7w65qJTUb/msubxsfZ/k701F97H/dOUha/tfXns9Jpti+YAeZs/j0+UCVDt9+zfwO3WEDg+L/L94LXLPiTaN6tXr66O2cYcZZlTf4FobgCDPhhNPhkp/w6g3ge8vrjdJTxn9Dn5Z1agtf/V7wmo9y/3wWOPPVY7j+fQaFzo+H658ObI14vXbvn5SHxxxuQF4NJLL8UnPvEJAK//0T3vvPMwc+ZMAMDHP/5xAPscQq677rrstS666KLav5///OfHoonGGGOMIWwCMMYYY3rImCgAhx9+eBXyF/HhD394LG5jjDHGmDHCCoAxxhjTQ4a+HPDEiRMrhw12vujqVMYOKJEDSAnn8y9h57F58+bVPps1a1Z1zA5WnHQmym2tTl7szMMOMer4w84pkVNSKpe6fsa0OY8dITm5Ryq5kF63aZppG1L527tOV3ag0QQb3JdNucE5OUyU8KOEnyNyMFNHNXbc4rmk475x48bs/VMlkIF0rQt2uIscvdRRK5XPX52PIuc9bgOPrTo48XPk5hYw6ABW+hwB9TnKTmVN11Ry48k/89yKEuKoAyo/J/erztFU6dkSHjdOOsNOxXoeEzm/qmNgKvGNzuUu+1HOoZITI0UOyXwddapNOejqM0WlurlNPKf1OflaTfuRrmMeQ14nfG91WIz6iv/+lcevvfZa5/3RCoAxxhjTQ/wCYIwxxvSQoTcBsNzD0ksk4+fkRJZ7VaLj0sJRrC1LjWXGwxKWGrkWwMMPP1wdR+YKlRNTOaJzpg6WykpYVmqb/1ufOZILue9ZPuP7ab52nlqRlMfXUdma42Kb4ltT8iZQN11of7EczBJ7yWhKqAKxvJrLr8/zTOV3/iySL/l87Q/+mfuVxy7qwyjXRgmPp45t9NypnPU6tilpPJo/Oj68rnkv4JjpXM2JklT+ATU5cJu4/6J6Ilq+nPOAnHDCCcnzeE3dcccdA9dlqT+X0yCVaz+SzHXP4fnGa0j/dETX4vmWW0+8n/N+FPUlP6fW92hbnyHqq9R47i+azIU5Un1pE4AxxhhjGvELgDHGGNNDht4EMGnSpEoeYrmwjXTHshJLkCoF83la+hGoe/6r9PLII49Ux5s3b66OWWaL0uWqJzfLbiyHq9dyKnVsqn1M2/KYkRw1kmmSKukbtUFNOvyzejQrKg+zbMgytsqDfI9oPrGk2bbUMfdTl3KxCsvCet1Iomb5W/tjzpw51TFLppyiOrrmaE0gTGruqXc29yWfF5nCcmWseQ6PRs7l9qmpLFXOOjKBRGabEk4dzJEgQD2tNZdDj9rHc13Nf/xdPi8qMaxwP3P6bB2TaL5z9EzO5JSKGBqrP086z6K53Xa9di0z3AZ+fp0r0d8P7ldug00AxhhjjGnELwDGGGNMD/ELgDHGGNNDht4HYNy4cZVNk+1Gke1KQ6fY3pkrLTp//vzqOAp9Ynua+ghw96XsXbnMcREpmxuQtuWVsL1IbfncZ9xuDd/ZHz4A0fd5PHPX72pz4+dku63aV5l169YN/C5V9lP9Mthez5n92CekpO1cUJsl21t1TgB1PxW1ZfI64GOe113HNxfC1KUccC4EtWub+FqjyR7J8FzStd801oyWQX/b295WHXN/6Tx88sknq+PIFsxt4mfW8rJc2jryJWgLtyGXtbCE51hubHlONIXj8ec8BkB9vPia6kcUhSxym3jv0udKlSqPrsl/E3J03eOicdi5c2fnDLlWAIwxxpge4hcAY4wxpocMvQkglSGJM7yVqGwaFeEB8pJOZCpYtGhRdayyF2fqYhMEZ5ZbvXp12A6GZS02Aaik00XiUckwlXVOUVMKUJedWdZiabFt8aES7ncNXUsVIInaPdJQHB7L6dOnD3zO8iXPpbE0V3D4Hn9XpU/unyg7Gp+vGRl5zuSKRSm58ey6bXCbcyF6XSXMFNxfqcyV0c9AfV7yWtC28XjxdyIpWM0yixcvro45DFCzlPIcjLJVsumBj3Mmz6Y5qmuRZfWoCE1JNCf4d7mwW74W91U0H1Jjq3DfaX9EmSWjdQWkCwwB6Qyp0edAfW02ZTgt6bLnOQzQGGOMMY34BcAYY4zpIX4BMMYYY3qIXwCMMcaYHjL0ToATJkyoHEbYkSPK26yOJRyfzY5rmkOA4+m1vGQTfK1UyU2NVQUGnTjWrl0bfleHZzR5zVNOX3qPyMGSz0nFsrcpK5xqT24a8rjmnJua0PnBNSE09z5Qd3DkZ9H+4fHlvomcfDRenOcxt0+dwXJ5G4C6s5o6Hm3YsGHgfD0vWk85J8bIiSr3vTd6m+G5xf2qORzGCu4PLekLDOYQYGcwzvev7eN5F/X5SPLXp8oml2gdAXUq7QLPMT7WdZzaK6LcAuxsl8tBkdtfIsc6bkMqf4HSdg+L4L7nfAI6JtGex3/POE9O1/ojVgCMMcaYHuIXAGOMMaaHDL0JgFMBM5F0pY/Ccacs+WiaTCaSnFgCUmmWP2OpJhUjHH1P2z5W5TC131Lx1/pMUTnTlAlgrEqtto3/jswYKsmzDMbjoDI/y3xRetSFCxdWxxwjrBIpy7Ys57IJIQXP0VTug/0Fj3MkHeqYjKb0adv8CKn00dEaUnRcurarhOdYai4BdSmaP4vakTM9sClK78H3j1J/p0ximsuD5y9L+lFbR1PGWkntg21NedG48xzRvwNq/ipRM0Z0/7Z7UCqHSrRXd02T3Rbe28t97YUXXmidW6DECoAxxhjTQ/wCYIwxxvQQvwAYY4wxPWTofQBSZUcjW4/addh+xLaXrnYYvq/a1vgztr805a/Xbk+VolT4s672Hob7po29mW1ObLPkMpu560R9wM+itjK2dza1VX0WuK08T9Qngu2CUYldLuHK56pd8tlnnw3bFz2z3ofDTtuWDo1IlSgF6vZftkVzCGsU2hnZnEv42bRfo5zqfD5fV+c6rwPu8zZrtk1Ils4znssl7CvC80f7iMMr+X6RzxLn+1dyIWfcV5H/Syp/vfocjFX4I88t3QvZn6WE92QeT/Uz4D7o4oOga5HHi+d3LryypK3vVap0cRsfgtQ65Wvq37EoDJPvW/bX3r17O/9tswJgjDHG9BC/ABhjjDE9ZOhNABwGyLJNUylTYOyyj40kXI2J5GWVuUYj/zIsCaqZhH9mabFNpi+WcFMZD0cShlWi48k/N8laKrmytMZyrsq93OezZs0auC6Hi65Zs6Y6VvmQZT02y0ShRsO03EY7r0ty5WNLOFsiZzLUeT9W/dO1LPNoSZXzLtH5nVor2laes1FIHPcfzzcdE+5XDvuN9lHdD9qGpEbXSsnlem4qtC8yB/Aa08+nTJlSHbOJQs1ZUf9zX/La0PHkMeJ1E/XTWIZUpijbumfPHmcCNMYYY0wzfgEwxhhjesjQmwDGjx9fSV9N2aNUqkllVlPv7Cb5LueJy0U+WPrkzHJaACaCs9lxW1Ui5fapFy5Ql6T0u6kCKZpJTzMDAnXZbdOmTeF15syZU/sOS/GRPLZu3brqWDPxpYqgRFkKVTZlibmtN+/UqVMHPp87d274Pb0fzw/O/hdlAtTvsnmIM8vpXM8VUgHqY/JGMJoiKCMh8qzXvmzj+a/rN/oOzzG+h8qrLMk3mdF0z0l5nGv7+Lm7FNfKfcbPFO13GlmQynbaxmyUMhfqePJ5fI/omVJrBqiPSVc5nKM8eO/MZcTkdkd9qfsK9y3vqfw3YjRZQLuuRSsAxhhjTA/xC4AxxhjTQ/wCYIwxxvSQofcBaBPul4LtQ5wJKme7irLwsS0pZ1fikB22Q0c29RkzZtR+3rhxY3XMtqFcWyO7KKNtZRtcrl+jZ+Rpwn4PjIbSzZw5szp+7LHHBs7nLIIcJgbUbdrcB20yQPK45zK0sS0vsve/4x3vqI4569uTTz6ZbCujzwQMzgXOBMi2P12W3FfR+OTshtxnOZu2ovbV1P10jnaxveqY7O+wKbXFRyGC3F+5MWHY/jtWWfeA7hk728Brv02W0tGEUXL7eT1oH/G483yKQqh579TrcOhuruprF3Qd81iz70fkm5Mbs7HyoynHcO/evfYBMMYYY0wzfgEwxhhjeohfAIwxxpgeMvQ+ABMmTKjs8jm7I9DOvjfWsD0odb+orW3ikYFBm3cXG24O7itNMRrFs/LvOJaVbbjqG8C28chfgdN2rly5svYZ28ZT1dlKOJ+AnsN+Cbl0oFH/83zLVV5M2fmilLjqA9A2BW8u/ami64DzRfBzcqxzky1cz8m1IbIrs38M553QlKwcD83zMhoftbnuj/XO61Tt0bwOeA5EPgDswzFSornPfcT9rv3KfZOrwgnkx5afU/eNyH+Kf5eqzqo/87qJ2sJ5GnRe8Drh83RPi8aI8wDwXpFbo3zdyOeHfcGAdApoHrtcpdgm7ANgjDHGmEb8AmCMMcb0EL8AGGOMMT1k6H0AuuQBUBsZ225SefCB5lhftqFqe1JlfDkHdGQ/VhsY27pyNQ9yJTWBui1Jn5NjVvkzfeaoxgDfi233Z5xxRnWsNjC2zT/zzDMD18yVL+X7cU79qL/VBs92dn427XO2SUa5GlL+HRr3nyq1GtkO1QbIbWDbp44J90dkC+ZaCnpfHi/uZ+7LyDapdlOeM2xDbarRoeTin7vE4KtNnn9mey6vP+07zlVRws/GtmB9zpSduOuWmiqZCzTH/vOc4T1HbdzcB9zuyF9D9xWe+zk/i2g/SvWF1vTgn7UWgcL5KY477rjk/dT+zkS1G55//vnqmNeGPleqnHL0/Op3xPt8ai/XORr5QfB6La+ze/dulwM2xhhjTDN+ATDGGGN6yAFhAuBUhzk07IrDx9auXVsdq0ySKs0ZkQs1TEk6o0nhqaE2Y5UONAdLxiWRWQCoS58aBshSGac6Llm9enV1nEuf2pS6tK3spdJiKv1oEyrRcfu6yuEMP1vXkDZ+NjX9pEL/3iy4/9qaOqIwUpV4uf/arpNoXnObWGrVtchj1DTuKg+nyvN2hc00LKOrxJ4qWd0V7mM1+UVrM1WaOzK5Rd+JUgGz2eatb31r7bPFixdXxzy2Olc0dBio/4149tlnq+Onn3462VYmmqM5szTvPzyO2jdReCHPmfKaL774YtbsEWEFwBhjjOkhfgEwxhhjesjQmwAmTJhQSW8s67WRfVk64fNVbmbpKrruSCQ6loOia+aqoLGc2zZjVklO4uXnZGlt2rRptfMiuZ4lKj5/wYIFybZyVrfIQ5bHc/ny5bXPusiUuQgClsP1OVnejSI1WPJlL3uF+4a/ox7AESz3sWyby+QWmUvamh5SZoZIvh3LzHosx0aZJkv42XhcI89w9vQH6n2Q2h9GY1IbzXd1/jftOSW8h0Vj3LbyIK/3JpPVSDzX9bwSbj+3Qf/sRFkEgbiPed9TE8G8efOqY15P7OEPAOvXrx+4LpsAeD/QdcBzkZ852nvH4s9rU7RXuZ527tzZyZQJWAEwxhhjeolfAIwxxpge4hcAY4wxpocMvQ9AKhOg2uOAQZs4n8O2K7ZNt4FtSRo2xFXr2B7H4R8akgMMhqWwLYmrpc2ZM6d2Hmeh27Bhw8B124Y05qpPdcm+yLY7zcp1+umnV8eRPZnt3GqL5OqAbH+Pxj2XoW2sYLuf2tlGU5WR50nO5j4aPxUeoy4Z67SvOayW+2PNmjWNbeE5nQtZTGWdO6vI/vbuYr0dvWcPdhb+Ez8ufDseofn03HPPVcc8P/SZRzNXmvx8mLEIA4zs5Bx6y+OjPh38nGzfjvZCbQ/3Ge+xGuIW+cnwfXncOWshAJx00knVMdvx1W8HqO/BuhZnzJhRHZ966qnVsfoSfPe73x247t///d9Xx7nQv1wmS0V9V/hn9l/gseW/KUDsD5WaM13/nA/upsYYMwTMLDbt/2PzZvxq8YdkR7H5vjBhAo4tHLt+t0gz/dOjjsKfFC/Mz+nFjDED2ARgjDHG9JChNwGMHz++kiJZZmsju7JUxHLm1q1bx6x906dPD9vEISGRzKjZnbh9LNGpxNWULY4lJh1avlZOdowyT6UkS+7jXGGXKERGpS6GC36ksp2VaHGekci6URYvfk5ug5qa2JTRdG+VTbnPWKZUCZd/bsqGmFsbqfnTxuwzVtnreAznz59f+2zu3LmYVvTnX9x77777Arjtne8EADx48skAgF2TJmFC0ddLly0DALznzjur63y4kJE3TJpUC2vVcM+m8Rqr7TGXQTQHz8vIBMBmx66FeoA4vFLvkzJ/aRhmRCrUVM2Fp5xySnXMpkPNLgrEIXwlCxcurI75OVasWFE7L8qYx/sIm5A0RDkVah2Nj/4ulQGRzVRq0oxC+3h/LP92vPTSS2GRoxxWAIwxxpgeYh8AY8xQcc1jjwHY9z9/APjT978f4088ceC8ncX/ru4uSlJ/Z9cu/Mef/QwA8Oki1/vHRWEwxryOXwCMMUPDrG3bcHbh9fylf/JPAABbjzwSg0LwIJsOOwz/byEBX/P44wCAeTt2YDCvpTEGsAnAGGOM6SVDrwCMHz++cqSI8rXnePHFF6tjdkDR+Oam/O38XXVKYWcWdhZh55zIcU2dwdihhh2PtDRvqmZACT+L5r9OOeSo81Dk5MLns0NRbkzYcY6dVkrYgZDHSq+bOo7uo21lpxjtLy4rGjkFsfMYz4u2efd1jKPfcb+ws4/OQ44ZjmpA8BjquHMf8Hm5srzAYOw0n8NzQHNjRGuI1wO3h8uuAsA1r7yCncW117zrXQCAOZMmDZR9BYCnnnqq9vPs2bOxvIiF3/nEEwCA35o0CSsollz7X+cdUB+Hto6zTTkBRuo02VRCl2P/eS6pMxivaXZajXLta5+kHCXbPBPvRzxnNGcAx91zn8+ePXvgmqeddlp1rLUAOJ8/554488wza+c9/PDDA9e94447qmOelzqeqbGO9gXt31Qtl9T6AOLcJ9EePZJ8JFYAjDHGmB4yJgrAqlWrcM011wB4PcPT7NmzsWTJEgDAbbfdBmDfm+T1118PYPDNzRhjjtq9Gy8U/0vflagQl2NH8d1txXeP2LkTGMF1jOkDY5IH4Lvf/W4V0/2Rj3wEAHDppZdWks9NN90EALj11lsrmfzKK69s18AOaWlVImNJpm2ZxGOOOSb7uUpXLM+w5NQks6lc1FaeZ6J4cI471VKhKQk3V6q0JCV78TU1lp6fkaXKEpbuNa0xf7dJXtVYW5Z5cyl0eYz2RzqMKJ+CzlGW8tgMoWaj888/vzrWNKoA8NBDD1XHnEYZGCwt3JZc+trc/Inme6oUNa8ZAPj348fjI4Uc/B+uugoAsHPixFD+jsw2k4p58yd/+ZcAgG++7W34SzJRqMlh1apVA9dgeH3nygF3KQ2stE0t22RS4nWgZjGW9VnS7zrvu6Q/Vvg59Vm47bwHR+WOuf2aT+CMIiJEr8Nx/cBgbD9QzwMwkjwNEW37KBrbkmgfifKHvPrqq63NkyU2ARhjjDE9ZExMAOeddx4uv/xyAMCXv/xlAMBv/uZv4oc//GHtvHnz5uH222/PXuvmm2+u/WuM6Q8/O+EE/IvCue+sIsPfXZQZronyOxOL/8HdP3cu0CJjnTF9xAqAMcYY00PGxAfgc5/7HM455xwAwAUXXAAAuOyyyyo7yje/+U0A+5wBy9Cdtj4AEydOrOxZbNeKwiBydji21eTOi+zfjNqG+Lpst+UQj8j/QENrUqWL1c7ZxUdB78vtY5uThtZF4YX8O+77nM2JbX5qk9T2qa0sNQ5tygHzOTy9u9osU/UINAd6l+tyiVIAePe7310dz507tzpWWzWPXVTC9Z577qmONQyQ7ag8t3hMtZ5CRMrur2sistfzvXj96Xgeeuih+Nvi+RYX8+MDU6ZgfWAjVT+J47Zvx7eKZ3+ieM4Pv+Uttfvpmoj8I/icaL6VpHxhItTGm/JJ0vvxeEX9yuPAvhVqN06VWY7Wmfo58Xrn++keFu0FqX1Nz+Wf+R5RyGuunHQqtLVNyfAoJLSJ0fhEtCWagzy+ZRu2bdvW2d9nTEwAF154IT796U8DAG688UYA+4rkvLMo4PHxj38cwL74xuuuu24sbmnMQc204iXjbUURk2P27MErxcZ3Z+EEuEHi7w8W/m3xh+xbxUvJd7ZuxX8qNrxvFn2wfdw4HF78Ibu4eIH95NatKLf8f3OQ9o0xY4lNAMYYY0wPGfpywKkwwCiznMrlLNuyfKZyEH8v6o5UeB+QzgTVJA2ptDVr1qzqmCW3nCwVhapwv2hbuS/ZlKCZp6LwqpRkmXtOlq6awqRUzmWZj/sg6svcFG4yQ5RE4UbcBr6Ozp8uZgbNJLlgwYLq+H97z3sAAP/zTTfhxMJUtrvowxcmTMBRxX0nFeN+1zHH4M+LDHmPkmyra4bby2PLUm9X+ZLHXSXKaK7wXOW5pyYtvtbUoq3X/vKXeHcxPqVw+8tx43Bscc1ylG6fOBG/V8z/DSQNs9yrpsPRlDVmeG5FoWE6JtH+BQzOLf5elFGUM+WVeVeAwTXMJXTXrFlTHUfrUr+bylLatcRxLtyRP+PrRiFwnB1V+3HOnDnV8YwZM6pjDTPWLJIAsHr16uqY904dT/6Z2xrtQ7qvpL7Lx/q3ITLTRCXIX3vttc5hnVYAjDHGmB4y9LUAjDnYmV78L+GffeEL+37x2mu49bd+CwDw5FlnAQBuu+suHFr8b+30olzuFWvW4G+KqneXTp8OAFifcVo70FhXPMtHjjsOswuV6jeK/yEfs3cvXiz+N/UPxf++l9P/IvPpWYwxwAFsAohQqYQfjeXcrp6SuTa06b5IelbJNeUZrfIqy4DqrQvUZS8t0sLe47moiDYe4W3gtkfyYE4ybOtxDnSXItuSkiV1PHksI1NC6prAvvH6WlH+tox2/zfnn4+pS5fWzmMP7+nFH/sjtmzBB//8zwEAG4uMaF//6EcH5E2Wf++7777qeOvWrdm25uD5ozKsZvcD6nOhzBoKDK5FNkex1KtzGRiU87cU/QjUvcFznvxNewE/i3qc8/pjM0OU1U2/m1ob6p3O39PCYEA9coTlcp1nPF68D0QmAJW8+TnZfKBtHU02xC6konyAetv5uM2ez+PGzzKaP5E6Dnwtfo4uESVKuTft3bvXJgBjjDHGNHPw6IXGHIAs2L27cnD7fJHxbtNhh2Ew2/8gL0+digcuvhgA8K6vfhUAMCXIEWCMMRFWAIwxxpgeMvQKwLhx4ypbTlNFP7W3sI2F7WNqM2a7bWTHYrtKLqMXh2/kwmWAwfAntrPlwtW4fSeddNLA5+zroBnhUrZGDTWMfB74uqnQx1xbo+yCucqF3GdN9rucTZ7HQc/jDIhR6Bafz+3LhWrx/Ijs1hz2BwBX7tiBncX/2p8+91wAwJyJE7NV67hdhxXP+t2iDa9985u4X2zy7NPBa4JDY6M+Vrs19xH3h/qiRKGrqaqMOtfY5p7KHliSy8rJ67JtJdCoTeyvkDsvt2aBwVBbnpe8N+mc4evqeGgbTqeaCTqf77333uqYw920XcDgWuVzmkKmldQaakv0zHxNnQNRhj9gsF+j/YifJ5dFkPeNJn+jXB/xOsiFEzbdo5w/I6n6OfQvAMYczByxcye2FRvazkxJ0BSvFBv9S8V3j3qDHLGMMQc+NgEYY4wxPcQKgDFvIi9PmoQjC2l0UiFVd1ECShPAUcV3XzqI8gAYY/YvVgCMMcaYHnLAJgKKckRruUx2gmNHCnXYYeeU6H7sONXWoYidOqLEIOrUlBoGdSBMOVNFqKMh34OdebQtnHSmhB1htHxwCm5r1K/cfh2TyCkPiJ2CtB+iUtEjIZW7XMckVfMgegZN5nLG5Mn4fuHg91/OPBMA8IP58/GOd7yjdh47eK1du7Y6XnLnnQCAd/3t3wIA/vif/TP8w9NP177LToA8djwHonmdc0bqWjsg5SiZS7LF50WOUJpwKJXIJZd4KCLldKXjyXORjyPH2FzJau57vTcn/jrxxBMHrst9kEtew/n82VEuKrerbeBEUtzWXJ77qB0ppzelKfEXO/DpPVNrVvsjqncyWqK5nPvzmtrjuq6tcgx37tzZORmT9UJj3kSemzQJPyoW8D998kkAwIPTprX67hFbtuCs73wHAPBEUQRlU5CFzxhjImwCMMYYY3rIAWsCiGT1nDyfkxqb4qG5i3IxmRzjzTKVxnSn7hNxXJHjvYSfI5KK2DSiJTBZhszFx0d9y+1NyWyac70pFzd/V6XIVI6AKJa47RTW58rFowPpfO25edalBDIATJs2DbOKdvyAZMnvn3ceAOC+RYsAAGtfeAGTi/u+e906AMCHHn4YrxXt/sOilPCWI46oyb1Aff6lzAHRXFKTGsdS87OpvB3lAcjlfGC4//g7TfMHqNck4DnN49VG+uWxzs2taJ3o/UYLr+eoHDCbALgUrs49NoPweEV5APR3PE+4P0YSd96VSCbPSeRjlc+/beni/fHnsymnhFL20c6dOzvPPSsAxhhjTA+xD4AxbzJrizf4f3fBBQCAKx98EB++4w4AwOU/+hGAfYl+jiz+5zap+B/qozNm4IuFs+AWh/8ZYzpyQJkAWA6K5DD1/mZP05x0z9eNUkSyZKnXYYmeZWyWzSJJVKWaVOlZlbua0o+ybKuSPH+XZUBNnxnJggy3j59Z+4Y/i0rP8nW03/m73H+RxKUexSkvYj2vq7dtiUq/qTTJUVv1dzz32Mv7HVP3lQN6ZyHZTznkEGwr7vv3xXOsovvyeKp0zyYBTgPL4x5FV+gaS3mrqwmgiwyp485tT83XEp3fqbHm+azmh/2x/XX1Bufn0MgGXuOR5zyPG/edRupwRFSq5HKJRg+x1M8RAV3LbvN80j5KmZSifkulXAfieQwM7nHRHG2KPhgL+B489/mYTTlAPPc5Eqgc69dee83lgI0xxhjTjHVDY4aQNcX/lr4+bx6A+v/u1hVOgMYYMxqG3gQwefLkSvJhOWxzUPdcJbJUUhaVDpuqVLF0pbIxS0l8XZbRIglHZWSW7Pg68+fPr53HXtwbN24cuO6RUgmO4f6JzBIlXT1vU/Azap8DdblOvbO7JLTQa7O3eq6qV5NH+AknnFAds3Sn5oxUgpwoWZXKq+ydzfNMq5fxmERjwePJcwRIV7NkuTmSl1VGZuk4F0USbSmpNabRH/wzy7bRNfV3fD7PibYJaKLzGR27lEkkaqtek3/mdaDznp9DI4L0dzwOOtdZuk+NY4mO1UiSn5Vwv/DY6v7Hz51LjATU9ziV/FMRQ/oMYyXx8/hEe1xuH2u7x0Vmaf5duTdt3749WQ0xhU0AxhhjTA/xC4AxxhjTQ/wCYIwxxvSQofcByGXwazo39Wi58KHINjSvcMQCgLe+9a21z9iWx3YZDruJ2qFtZfsZh2qpPZdtwVHISy4712gyWHGfpQq76DWbMoXxs2i/87PxdSP/BLVBv/DCC+F31Sa/qMiyB8QFhJ6mojrcPg2zY9swzwcdO2BwzFKFTTQUsymrGV9Xw/fY9sr34PZF11QbJduVeQ5of0QZ8thHgfsolz2S799kB9U2sX9Hbh422a1z85vb17S2dL2PVchZyh6uvhXc/03FsrRP2rYvGndec9OnT6+Ojz/++Np57AvD8zLyn2LfFG1bKlRc50pkf0/5ymh/8f1Te2GJ9iX7JaT24DZ7M9+rfOZdu3Z1LgZkBcAYY4zpIX4BMMYYY3rIQWUCGAvmzp078DuWKU899dTaZ9OodOvJJ59cHbN8fNdddw1c87nnnqv9zLI1h4BpKBZLXpEJgCUz/TwlZ6rcHPV5LjthiUrxnNEqkmH52fj5AeDYY4+tjlm+i55ZQxpTEqdO9Vy98BzcNv0uP2ckXyop2Va/G0l+DGf7a/sskazOqLTPsi23W2XOKBSJZV2We3PyMs+naM6p3JnaK3i8VBrXeQfU+75tQRlesxrCCQyGnPIcTWU7BZrDzLitPPf217aeKpCVImWa0jnD1+Vx17UGpENFgfpewGOr/d81XC5FkwkgV2iN25QLfYyy3vI8Kdvw6quvNoa0K1YAjDHGmB7iFwBjjDGmh/gFwBhjjOkhfgEwxhhjesjQOwGOGzeuchhhh4smRzUgnX9cHUu6lNzU+NWTTjqpOmZnjYcffrg6joq3qMNIynlMnUj4syiXfSpWG0g7BukzR33QNb5UiRyYcg5F/Bzs8BI9Q64Mca4EKTs/Ru3jMWrruMYOYJHjmjp5cRu43epIxvODHf7atInhuPEFCxZUx1GeeXWQW758eXXMc0TzK0RzhZ8zl+O/qxMTw23ifs7lso/GPZeznuHrNsXW5+C2quMlr/+ofsdI+ov3sza5RFJOvzlHvhLuP75Xbl/LlW8G8uPDcyvXN5EDLLePx0T32ZRzrzqY6jWBel9yP4+0NLnicsDGGGOMacQvAMYYY0wPGXoTAMu2LOdq7DowKEmx/MIypUqWLL+oxA/UZTmWQYG67POud72rOuY8AJE8qHI0y0HPPvtsdazS7oknnlgdc5x9CZsb1qxZU/sslYZS79E0JaI4dGDsZCwgLVNGMbEqWbJEx23KxY1H143mAjCYm4El+a6mkqYyvxGRbMtydG78WPrMpbnVawJpSVXl1EgKTrVJ79Emd0Ib2vbr7NmzB37H7eex1bZxfzSVAx4pXLI5GnduA0vVOgY8RvxZm9TanMOB53fXscqZcFNrPDJt8X21r/lvAPfNWK5LvkfXNM783GyO478xmqMgylmQymNgE4AxxhhjGvELgDHGGNND/AJgjDHG9JADygeA7USR/fuZZ56p/cy2mlx+aQ7l49KuJWzn4dz/ADB//vzq+IknnqiOOde/5v0HBu15bNPhkCz1ddi8eXPysyb4nmwH1LZENlwOQUrlXNfv8XlqNwfytj622bGtOrK5qR05ZZcbaZlToD5/1J7I9sKmMEC1m/K48zhoeBOPdZM9U7+bCoPjuR6FAU6dOjV5D7avqg9GFKaYKuGqY8L9zHbrqC81LI77ha+bsgsDzTbTXJlfvi6f19UXhscrV6o8GvfUvXQO8Hl8zcgHoG37o3BhZSSljpt8U6Jwu+h83l90j4vaxWGvvE7ZVg/U1w3P0a1btw5ck8vCt0X3V/XJ0HPKtu7du7dzf1sBMMYYY3qIXwCMMcaYHnJAmQCYrtIVS5wqj7Fkefrppw98l0NxVH767d/+7er4Rz/6UXX83e9+tzqOMvapTMoybS68hmWtKCyrrXyXk9WbrpHKjpbLuBbRtaRsCs2axzIq970+F0/90YQwjiYsKHUdpem6LBPq+PB3WbJkybPN87P0uXDhwupYZetoXrLpivtd5U0OmeU1EpXYVXhPSIXlaR9HIbqpcrNq6kiZ1CJ0TY82s2bUBjZt6r7Jz8HHUTu0j7qua4bbwfNH53PKRBQxb9686ljNubzeec5FZqmxgJ+paQ4A6dA/NvFt2bKl9p3o70eqjxwGaIwxxphG/AJgjDHG9JChNwEcfvjhofzHxVlKctJVTuJk6TCKApg5c2Z1nJPyFi1aVB2zjLhy5cqBa2pkAMuxo5GRR4LKhZopEaj3JT8z/75t8aEINemkxisyCel3+b65jIcjRTME8lhz1jSVjIGR9xF/L/KCTsnWQCwh6neiea/ez7zmclEhTRni+L66ZlkK5b5RqRcApk+fnvyZx2Hjxo3VsUrekbkiJc/nio3xZ9GY5sY5FbEA1Od2ZCLiOcbjkDMD8doay+0/ksC5TaMxJaTQLJSp52wjz7eJItHrNplydG3wePI6yGVnbCr6Vn539+7dnU1LVgCMMcaYHuIXAGOMMaaH+AXAGGOM6SFD7wMwefLkylbCdvIItXtxiBE/Zi6DXtQdbJ9RWynbSfm6bCeKMkSpnZ3vwaFJOZuO2mhz1wHStvHOoSMtw944RCmy//F9586dW/uMr7thw4bquI2Ni21obCPU/mI7WtQ+Hs+x8h/QjGT8PLl7sC1R7Z56naiyYQk/J9uPI78C7a9Uhjb1dYj8cxh+Fg0DTI0vh0yVcGVMPScVDqYZKZtCrHgdqy2Y+yMVrlyi8yvl49LWnyVqE7dB59Jo5i/vKXy/sawGOJr9KAW3NZeltIT3dh7bnE8Nfxb5aOg+z/fl/YW/q+s7CruOwsZ37tzZ2c+i2TPCGGOGkLnF5vve4j8GU8eNw0vFRn9L8UKzKnhZMsbswyYAY4wxpodYATDGHDDMLqTs//zKK/i1ZcsAADsKWfXFiRNxdCGBXlnIyD896ij8XmEaWNciFMyYPmEFwBhjjOkhQ+8EOH78+Moxhh2EomarY8esWbOq41xZRnbUiJyCOOGHOmRwkiJ2UmSHkiivvTrQ8M/sxKWOWLmEL0DdIUudHbn/uN3al5HDFX83laM9lys9KgfMjlA5pyDu86g0ZnTtYSByNNL2p+aezg/+XuRAxr/LOQKlHLG6Oomxo1IuUUp0/Vz7eO5xme7/afFiAMDvf/vb1e9uefvbAQD3FQm4ntmwAYcW8/SsJ58EAHx01SqgeM5PnnUWnhefgKgtjz/+eHXc5NDYFnXuS9Uq0PO4P2bPnp29x/r166vjsWo3UB9rnofad03lyXk/0D2G9w7eb5v+POncUyfbEp3fkWMdn5OrRTJlypTwflFdCU00lXIWzTk3R2uTnRrL4127dnVOBGRNzBgz9Pz2j39c+/nPP/hBbKcCXyWvFpvht4usgHcfeyz++pFHAAD/etky/O9ve9v+bagxBxA2ARhjjDE9ZOhNACnJJPq9/i4la2rMM8v1HDNcksudnYrD5e9EMdYq1bSN3+R7REOXi71PlUXVWguRlMd9mYpZ1fhVliGbnk/jdPk5WI5rI1VzO7ifc/JYFMPL98rFMKfaFM3RtstNpUzun+h+PN80D8CcOXOqY+4DlowjciWa+bhtf5SwzK1SMMvc5TPPe/VV/I+nngIAfK6Q+787cybOPffc2nfZXMYy/tsffhgA8HvLluGfLl0KAFhdrMlI6uX5z3UENA8JPyc/R/T8Uc2BEp4TU6dOrX3G4xXJ21ynhM/NmcX4vDbmSZa2R/Pngsdd1ztftyk3Bl9HzU08F7m/2uQsYPMGryHdu9hcMZqyzmz+479Buu6a6p+Uz/bLX/4yNEPksAJgjDHG9BD7ABhjhpr3vvgidhb/C7rthBM6f/8fC3+Aq596Cr+6ZQsA4GsNDnXG9IED9gUgSnfKUidQl5lYElNP7Keffro6zpUNjuB7sFTE94jKwqq377Rp06pjTh2s7WGprMkMommLU/2hJoqob/l8PuaysHysbYnSFvOzaR+lpLWobfo7lvv4vion8hho2/U6uVSlqZSjkVyaM4Xk0qzyz5G5gs04Kq8+9thj4f2azEm5yIy26aAjeNy135955pnqeHHh+X/0nj3YUcil7/6N36g+P/nkk2vf5XUzY8aM6rgsDbzj/vsxs5jrpXT+7LPPDrSPU09zX77lLW+pncdya6rkcon2Jc9Z7kud9/xZJOs/Ujg4AvU5oOYCNl/wHIzWE5sVgLpZZt26ddUxRwMB8X7E/cee97ofcP/x/IjMHrmyx7zv5sq8R2ZZLvPNc33FihW187rI7NonPJ5sfuH9L7fnjzU2ARhjjDE9pLUCsKzIunXttddWb+3f+MY3AAA33ngjbrvtNgCvv9Vcf/311dvZVVddBWCfc9Y555wDALjiiivGov3GmIOcF8ePx2GFY97EQgnZlYj3jphYOOAd9sor2BbEfxvTV6wAGGOMMT1kRGGAl19+OYDXFYDLLrsMN910EwDg1ltvBQAsX768svOUtqlLLrkEl112GQBU5zfBmQA51CYKX1G7EoehtbVZNvkAaMgch/fkQn0UtUGlbN5qQ2L7XRu7beqzrnZbtqfNmzcvvCbbB4HY96EtJ5CzF4/r2rVrB87NlVqNMmaVHHvsseF3StjGyZ+3LYHclLEPaLbDRzSFLCojuQcwWMqU287rT/1ZtJ8Vnvv63agE80l79+LhYm19pph73zr+ePz6r/967bvvfOc7q2MeuynFPnXhN7+Jv/5X/woAsLVIInTHHXcMtO+hhx6qjnMZRLug65Jt0my3Vt+PVJ9H1+HwV/Wt4DHh+3FWuxK1u/O12M+iTZY7Ht9UmWX9mffCKGMfP0vOT+U4ShSlfxsiOz77SfCz6T6WCv2O0M/5eVLltXM+RiXcR2X7Xnvttc7+AmPiBBj9cbj99turTr/wwgurz8tJumvXrnBwb7755tq/Q56mwBizn1k+bhx+Vrx4/27xkvkzeRFPcfjmzTi/ME8+d9JJ1R9+Y4xNAMYYY0wvGRMFgKWdVatWAdgXOlIqAKtXrwYALF26tJJWov/9A8BFF11U+/f666+vrs+yzMKFCwe+y+E7QL0YEEtMmu2vKWSPVQgNIeTQnJQ0pBnygMHnT0lAuUIrkcScU0z4Wiq9MlHBHe775557Lrymfo9NNpEszHKvZoRjmZj7OHpmDWXivuXn1GfWzG5KqtCRmhz456aMY/qcfH7bIj5dzTfcH/xMPHZlqByjMim3fXoRW69tA2IzDcPPqWuDx5Ln0+8V4/7NIlzs//75z/FXxTr+biGDf/vb38ZhxXm/XjzPJ3/xC7xSjPvvHXkkVhfmgJIoDJDnG89bXYvc1lQxm9R3NYSuROV37p8TghwILOHnCpDx3shmjagdOr9yhXGYSKrmdczHuv9x/3G/Rn8nciYMDtXk0MItRf6HHDyPeV12zXSZg6X7lKlS95DRZBtsovULQLlBfOpTn8KDDz4IAPiTP/kTAPt8AD7+8Y8DeH1Tv+6666rBu/rqqwEA3/ve92rmAGOMacO6YoP8zSJfxmd/8Qt8ukhl/O+KP24vjB+PY4pNdXLxInznYYfhPy1ZAgDYOHky0CIlrDF9wSYAY4wxpoe0VgDKLEl/9Vd/FX7+4Q9/OPndL3/5y91aZYwxAaUS8M+PPx6nFXL5+wpTxTF79+LFQu7/TqE+rpg0CdMCk5YxxgqAMcYY00sO2HLAEepQdOaZZ1bH7ASiMbJz586tjleuXDlw3chBqiRXmrIkymeteQDYCYafQx2K2AGlqcRuLg91rnxs5MyTKy/ahsjpsG3dBX4OjU2Prs1OM/xs6oDHfcnxzdF1uK/blm4eTby+0mWZ6jpoUxI5ctLUc7n/+B76TNFc4XN4PWhejZSTa+Scq/OW477nz59fHbOz6Zo1a2rf4XK/Jexkxse6Fnke8Gf7y2krcgI88cQTq2N21tOS3ryHNeXa1/XE+2WqPkb0c+p3EXxPnltaHhmo7wG6phcsWFAd85zhnDBA7ADMDpHcX1rngdd1ro5DROrvBa/93H7WRNc/51YAjDHGmB7iFwBjjDGmhwy9CeCwww6rZB6WhtrIIizfsVyoMaEc7xzJuyyTqVTaRvqLZDaVh/k6XUsSjwQufanti+Rwbl+qBPJophKn5QXqceYsKWsOB2CwL1MlSFUy5jwRkWz95JNPhtdUyTsni3Yhl7K3KZ0vy4b6nCyZpko5t4HnSW7cm8rCcv/lYqz5fjo/gMEYcZZ1uz5bCpaYddxHk+qa+yMlBQNpubmE9xxuX3RudO9ob9L9h+cWt0/3yigHRmqsVebm9vL8jUx+bApREwDL9TxneL8DgPVFCClT5qsB6nkTmko972+i9cRrrhzPPXv2dM5RYAXAGGOM6SF+ATDGGGN6yNCbAI4++ujKE5SbGnnvKqeddlp1zNJnLgVsVP2LpcZcWkyWsdhcoR7/wKCs1DbdJkt2TWlnc+3jNqnpoktVQ/bijmTakkhqzFWN47FjSVKregGDEhlXc+O0xfpcfK3IfJNKDaryJT8bS8+RKUdl65GYUCJ5N1dNbKRov/LPPHZ6v6YoiZTcq99NVYgbDTnzSAlL++xNr9EVPA+4fdH60fbzWuHoBTVPNs0nNnOm5itQl+KbqjW2nT8qv3Mq4hJ+bn4WjVJgeF2qdA+8niYeAM4999zaZ7yvLV++vDq+7777auc99dRTA9fltNA58w73M8/lqN9ykjz3F89LXT9RX6X6z1EAxhhjjGnELwDGGGNMD/ELgDHGGNNDxqQc8P7kkEMOqewsbMePQiPUvsfns01M7bAc9hbZ2fh3ajNkG1fKdhjZ93O2oVzIGRPZL7lf1E7EbeXP2tiNuG/Zfsk2S82y1hSSwlm+Fi9eXPuM7asf+MAHqmP2DSh54oknaj+XJamBejiPlrflcW+TCS8FlyCdPXt2dRz5mujv+L5sz9W+47Z09f1IhRCy/TIaK50XbANP2UGB2AeA7bo8tnrflL9HdM2RhGfpmmgq/83ksmHm/BqA+hwB6r4znIFO+5Jt4NGex30Q2eBLeO7z/InaqvM+tQ7UJyIKvWwquV3CYb+nn356dRz5/Kxbt646vvPOO2ufRZkDgcF5FmUm5e/y3qDf5THi9RvZ5dX/i3/m67Lv2RsRBl5iBcAYY4zpIX4BMMYYY3rI0JsAGJacIklQQ2hYHmNZT2WZ97znPdVxVPjn4Ycfro7VfMByWkpS7ZqdKSc987Uiqait+aBruAjLW23laDZRaNEXoD4OuQxo3P8///nPB66jch5n+OO2qsmEpddICk2ZcbTfeZ6x5Bn1vz4nt51NADq/U6aCqK1631zIXo5c5jt+DpWeo6I1PE+a+qiEJeXoPDXbjCRUsKk/ciFzPA+4fZHJT80HqbBB/W5qf4nuy+YunT+prKi8Bkp0fo/EJBLB7dc5zGPN4Xvz5s0buA7/HdD2c1+yqVLnTyTX87X4mXXP5/7h8YrmqJqpUmarXJbE/WkSsAJgjDHG9BC/ABhjjDE9ZOgzAU6ePLmSitmTNZLDNGsU/8ySj8pPnAEqkrRzXcRyFB+zF6l6ywKD0mJKTsvJQZFXMP+ube35NlMg8poF6tnA9ByuwT1t2rSB715wwQXV8SmnnFL7jL17OZsf1/suOeecc2o/s7z6/e9/vzrW7F9N2Rd5nvA1c5JcqshLifY1n88mEZ0zPH8jGZFlSh2Htlkmc9cE6v3B8qo+p2aIA+rmAz5WCTeVsS6afyr583dTc1ozUkae83xf3nN0jXKb+Drq8Q8M9hHvD/wc2ufclqa28p6oY8BtZS96XqMlaiLlvYL7o8284vblCgml7h9FAfCzaBu4j9gcoBFAUdu5/5qyWZbwOo1Mc7rPczt43HleqjkytffqdbZv3955rVsBMMYYY3qIXwCMMcaYHuIXAGOMMaaHHFBhgMYYY4D5ha/SRUX43NF79uClwt5861FHYVPgh2GMMvROgOw4ws4RURynOlzwo+Uct9gBg1NSlrDTld6DnS7YSagpdlOdGNmBhJ1X1JGP+6BrimF2MMqVDo2cTjiOnx1kcrHA7MwTlfXkts6dO7f2Gcfy8/0ix8f58+fXfr7nnnuqYy4NrGPH4x6lLE3NPXXC4/7LxcfruUDdIY7bl3NCairnmovj5rFtcijVeTBWJXn5Xnrf1PyNnH7VUZKv1VSedyRoW1Ox4pHTb9S/Jbn95+1vf3t1vLA479JbbsGiwjF2VzFG2yZPxuHFXJr82mv4UbH2/qBwvl1B/crjGjkB6vxOjbs6LEYlv1N5S3R+t3XaBOrzP3IuLuG/Ebq+m/JK8H6cK3fN14nGWOdeyvma50zOEbQkyqWxd+9elwM2xhhjTDM2ARhjzBAzpQgdu/Lmm/f94rXX8P9deCEA4LYi6+LOiRPxTJEx89c3b8ZHi4JYf1cU6PrQtGlY16Acmf5hBcAYY4zpIUPvAzB+/PjKBsI2ZU1WAQzaPtn+wjYdtW1yCVdO0FHCObYj34OSrsl12nw3Z3eMSCWv0c/YztS2ZGdJUxnZCLVrAXW/APVn4Lz9nA+8qSQqAKxcubI6bir1XBL5PaTGYSxzc3PCFp6vY2VvB9rNy6hfc3ON+0tt3lFCFE7owvOt7dyL5o/SprSyjl303OynwePQtaZHjlRe/JkzZ9bOmz59Ov7j448DABYX7frshz6EXxTr43d/93erc3ku3fzXfw0A+Jf/9b8CAJ6aOBG/v3QpgHqfr169eqBtmzdvTrY7tw4iPw3+XS7fPa//0dRnaOv31cRI9rhoD9HfdS3lDcTPy+uhfOZdu3Z13jesCRljzJAyZ/t2vL3Ilvi3v/qrAFD98c/xQuGA+sMi2+bF3/kOZhX/een2um8OZmwCMMYYY3rI0CsAe/fuDWWTNlIKh5BwznENQWGJPyKXi5lzorNsxGFzUclN/V1K9tLfs1wYyZcspenn/NwcftaVtpIY9000XtzvGibIYYBNkrHmPee+Z3k698zRZ6lQMpU6uT+4LanSn0ybc5Ro3LlNbcu5MlH+fs3Dzs/J87dNyVM2xbCk2bakb5OJBkjXG2DamNT4Xhyeqm3duHFjdczzI7pmLnyY56iGtH5w82bsLMb27qIOBl+fa11wnYxy7J497zwAwK6bb8YHi77dOHVqdV5k8tQ1xm3l59Cyz9Fzc4n2nDzNYbY8z6Iy3XwdNR3yHsffjcIJFZ63uTDclHkgMjnoXsE/c3/l1m/Ub/y7ck6PxJpvBcAYY4zpIUOvABhjTF85YudObCtUv50tHCGVXcV3X548GYePUUIkc/BwQL0AsIw8lWSsEpabgLoMyNK5ei2zjBR5srIkkzMHsCyayvCWIpWhTWGpMbpuzkTAz8mSWFfPVL5vJEWVRKaPFCyn6s+5MqcAsGnTptrP3Pf8XZUB+bmjPmcJccqUKdWxZj9k6bBzOU5qHx+r7MdtjzLN5Z6Fz0+VK44kT31OzlLHJhsttRpJllwil73M1eOc28eeztH4aJv5u22z9EXRBfzdF4tUu8CgNJ7K3haZH7StfD6PLUckAcDs447DMU8/DQA4o5D4d9Ma/8lPflIdP/PMM9VxGTkzsdgvjtyxAxOLrHk8R6NMgDkpmce2yXSq5LKPpvagJlNlLsMiR2zpuoyiyI477rjqmJ9T97G2pYKjc3mNR578wOA+Ff3N4b8DXdqj2ARgjDHG9BC/ABhjzJCy5uyzMX7XLozftQuLH3gAix94oNP3T3v0UZz26KOYsGcPnliyBE8sWbKfWmoORPwCYIwxxvSQoc8EOGHChMq2x3bEyNaqthq24bItSe1GXLUtCjMbSQawrlkB2bbNz9Y1ex3bmNQ2xOenKsQBsV00ZTvm62iWxC4hizm4byJ7V86Hge+rz9Xk+5DydVDYZsf9Ec0b9TFpa79rmk/cBg2dYh8F/i6HS0Z9oePJ3+U1o2MbhW5xZkcOL1Q/A7ZJ8/xhW3yJrtU260zbGoWHcfv4c20D7ylNe4TanPke3F8c/grs64PPFhUt5xV99dHFi7GhaFcq2+mCYq7/lwcfBAA8P20aPv8bvwGg7s/yeJFlkPnZz35W+1l9bErUBynaN3ivyGVVHEnmvagNqb1Jxz1q60iy9DGR/5iOe6riJ/dNm3aw/0m5trZt25bNVBtxQDkBGmNM3/iPhWz/n++7DwDwpSefxN/MmAEA+Pvi5eGV8eNxWPHH78Jf/AIfEwe9MougMYxNAMYYY0wPOSBMAKVcw3JKJJ1qFq05c+ZUxw8XpTIBYN26dZ3a0FaeSmU4ayN1swzP0qxmVWN5KJLVc2ExLMOyVNZGcuLwJDbF8P1UJl9VlCQF4pBA7stchjbuy+j52srouaxcTUU0eHxY/gbqY7RjFLHWqTA2oC7vRlIjt1+/y33G0jPLoG2KAfGz5TIjav9o+3i81PzEc5+/o2Gi2gYgvTZHKi8DdROAPhf/nAsXBAalap4z/MwcagnUzQNLi9DnTzzyCM4qZPkyS+DLkyfjiKI/Ju3diweLkL+/LAoAvb4SgSeffLI6XrFixUBbc/B4aV82/Slpaxbl8yITTSr8EqiPA+9rOkebQqi5fRqKmNq3ovDcacU4RPflvue5rs8crc3UPtP1z7kVAGOMMaaH2AfAGGMOADYXasCnzzsPMwuHwPcUasMRO3ZgW/E/x/vnzMEz6iDc0TnM9AO/ABhjzAHGusKU8w9k5qxJ8iMoMmX6h00AxhhjTA8ZeifAcePGVQ4cp512WvX7KJfz+vXraz+zMw4/pjrpNDmn5D5npxhuEx9HsZnq3Je6hzqv8Hm5HAF6LlB3UmFHE43FPvHEEweuxU4n7NCXc55LxbmWsAOPPmcqfrgNbZ2+2tZfUHKlRZscKtnhC6iPCY+DOo7mYpoVfWbOcZ5yboranet3boM6VEX5Kbh/uQ/UsY7XCucEiOK29Tl5jqZy7avzVPSMXebCWKPrgPtqSZDFj8eWx0Svw06UnMO/Tb2OlEOz7hujYaRrUZ+THZ0ZbWuXe+jfmpQjZOSYp2uD52JqL9c52cWx2E6AxhhjjGnELwDGGGNMDxl6E8C0adOqeP4TTjih+v3cuXMHzr2iyHY19c47AQB7Nm/GrsJZ5nNFqcy1RxyBtWvX1r63devW6jhKe8nxobnPWPLmEqltupilK5bZcuUkI3mbZaUZRbawEo4BZ5lJ+zKSmPk5WaZlaVFjilnWiiQ3fpacJNc2JW903bZx31FsfSr2XudDqhRslL42B8uD2h9NkmUuNprHk+cWp4TluVGipjJ+Hu4PLc0dmUh4nvCzqGTL48tmssgEkJPz25a7jmK3U+mco3OjtkYx5rnx5L7UvYI/i1Iss7Sd22c4nTb3ZZSjpGtJ6xxq8irRsesic+dMsm1NqU1punkM1QTAP/O4R/NM1wJ/l+crry2dK13+RNsEYIwxxphGDvgwwLcU/9P+yJ134tS//msAwN7irWvnkUdiYvH5fy3+J33/1Kn4/eJ/LBsyzlzGGGPMwczQmwDmzJmDxYsXA6hLzG8r0tF+4ZFHAACHALj1/PMBAPcX5y9auhQTCjlrwT33AAB+5Tvfwa5CYrnut34LAHAzVcRas2bNQBtYVlq9enWyrSyjcrdGqWpVJmSpjM9XL90u3quRFFnyrne9qzpWE8Dzzz8/cD5LZux5zOaTxx57rPYdNqeMlawYScFtUwHn+iPq19TSYOkcqM8PlvLatIvbxBKzfrdJIo0870vazJlIXtbf8Rjm5PnIE5vbz7K1yqspc1sUSaN9tD+2spx3eip1bNeqcjx/tD94DDRNMFAfEzazsAkyd7+mqCelax+n5mVuTnIKd047XsKmKTVTtYlqSMHjye1Ws2OuqqGipoeUaSqXUrhLBVSbAIwxxhjTyAFrAvi3Tz8NYN///AHg42ecgVmUJ6Bkd/E2taz4H++aU0/FBz7zGQDA/3LrrQCAm8VZzhhjjDnYsQJgjDHG9JCh9wE4+uijqzCjMkPdnO3b8f/cfTcA4CvvfCcA4EdLluAjH/lI7bts07m1+N8+AMz73vcAAP/8xz8GAFyyZAlWFUpB5APAdh616bD9kzOXsU0/shOprZNtV2xfPfbYY2vnsc148+bNA9dNnavtyGVjOy1QUjiM6JkipBKo25w05OWpp56qjtlXIGqf2o05nI77PLIFK23LjvIYRL4FbGfLlWFme2FTiFWuLGkuLDIXKgbUbaU633iepEqttvHRSPVlm0yA/LtcCelUqeCmEDig/tyj2dbaZqXj/uP2RW3VtZryD8m1OwpV5d/l+pWvO9Kse0B9frf1vWm6DpAOsYzm5WjumyOVSTHXRzzWUXZaXYtNYYNt4faV47lnz57O43lAKgDnb9qEXePHY9f48bh7wQLcvWBBp+/fs3Ah7lm4sLrGe4P63cYYY8zBzAH5AmCMMcaY0TH0ToB79uypQojK0JbJ27djeyG3HH788fv+BXDvvffWvstFLzh0a0Uhx71YSJczDj20CrGJQm1+9rOfVceRlB3Bsmgk62kxIJaDOJxQJR0O74nCdfh3aj5gWEZTKequu+4aOP/kk0+ujk899dTqmLMqav83yfX8bJo1bzQFWVLFbzREiEPTuoTZ5WRaloWjLGgqX3Lfswyq0iHfM5JL+dn0uzynWbLka0bypZrDeIz4Hm3Gik1IqcyEQD17Jfd5lKGz7RzJSd7RGmJzFJsZ9LspE1HXULS2mQCjeZfKjKnjyXsBr0vdh4BBkw7fl6V7NWNGpk6+F/d1LtSQ53dkTkrNw9HCz5nK1AjU+4f36shcofsKr/+UqVJNSJHpJwodzYV+prACYIwxxvSQoVcAIl4cPx6HF05iE4s3710dsvodWrw1H1W8jW0LHMCMMcaYg5kDIgqglO9L2eOtu3bhtkJ6/vzppwMAvjd37oDsxVLN7Nmzq+O3/Pf/DgD49ytXAgDOPeYYPFNITZHEn5OuWILi+7OMGGWgY/OEXodR+YclsSZvWO2PVEGbU045pXbemWeeOXCt7xWREwDwdJGDoQm+f+Rlz/KgTkPuj1zteWCwH1iW4zaoNNvkhct9zdfU7GScOZGvGcmzOn/4ujwmKufxtdjEUcL9pd7x3KaUbB7JjCq/ct+zqSM3diUsj+YKOvE9uK+iua59OZKtLJKYuQ38ucq5LFVz/0Wy+kiLUqW89yP4Hm3vF11zJKaV1D1HOybR93lNa39x9FCbwmFt0OgmXqdd75cqMMZzWfu/yTxZ7iE7duzoHFlgE4AxxhjTQ1qbAJYtWwYAuPbaaysnjG984xsAgE9+8pPVm0eZm/mGG26o3nCuuuoqAPvemM855xwAwBVXXDHiRj87cSIeKP4X9L8WseYPHH88tgWOTMqxL76IK9atAwD8rHDSeqbhzdoYY4w52LACYIwxxvSQ1grAkiVLAABf/OIXcfnll9c++/znP18d/8Vf/AUA4KGHHqqq91166aUAgEsuuQSXXXYZgNEpAADw+TPOAAD8nz/9KQDgcz/5Cb5RhKf9uKhut3vCBEwubIdvf/hhAMCv/+xnKK2Rn5k3b98BhbIZY4wxfWDMogDWr18PALjvvvsAANdccw1+XKTavfDCC6vzSseZXbt2hY5hyksvvVQ5RHEs/64iXvhPimv/y7vvxsceeAAA8C+KP/YvT56MIwoHiomFY8UDxx+PTxYxseuK67KjCZei5DaUqGNd6hm2bNlSHUeOaxqjn8ovoE4wqZjc6F45hyJ2WNH4/YeL/mPYwYfvwf2h8av82drgJYuvqd9NpYSNnFzUGYnPyTlRpdLTRp+zw6I66PF5HO8+IygypbHC7PDD99AcAuzYx3OrJJVKFWjniBU5cOnvuI+4D/S8yKEw5Vin7WaHK+6byDEt5+iWSnmsDl3RuHNb+R5aBpr7VfNYNJFqn44Vn9fkDJYj5XAWlV/W/Yr3Cp6/ufLIEdx+XYup1LvRGLOTpd7zhBNOCO+Xy7sStYH3LnXu43XK7YscKnUtpPJn8Lhr/0fltblNpSPiSHIi2ARgjDHG9JAxUQBWrVqFP/zDPwQAfOELXwCw722oDL1bvXo1AGDp0qXVW1nqf84333xz7d8mthT/47r2ve/F/OKtbmlhejh8505sL96uv1+ct+7II7HuscfaP5wxxhhzEGIFwBhjjOkhrRMBlbm4P/WpT+EHP/gBAOB3fud3AABf+9rXcPbZZwN43V7xsY99DIsWLQIAXH311QD22UeXLl0KoL0TINuryrLAQFxyk/PVA/WytaWPgl4HqJfD5aQuJWz3UpsOf5ftMuuKUEMgts/q7/hnbt8LUqmQ7b9NyVFySYSiZCXRNUrYDsX+C3ydyDadg9unNm+27bF9lRNvpGCbKrdV+7JL/n8mZ/vk+0X59XVMuIQ0z7Pcc0bqGds+1b+E59bKIvkVMNgfis6v1FaRs+emrtUGvm7kR5NLAsPw3NK+ifYRHk+2++u+wf4e3JdRmW7dV3jceR7qM3CfR/2fylk/0sRDXb7b5lo8brlEOWOZ0z+6t/Zd5FPC+wbvd5p4i+cy+wNEz69rldc4f5fP0+9E/gq875b7zCuvvNLZT6S1CeD4oujOX/3VXw189qlPfSr73S9/+cudGmWMMcaY/YtNAMYYY0wPGfpaACxHsyzTJmxp8eLF1fHGjRur46i0aMlo8kenylhGZSI1fIXNF1yGVaVTlo0iWbVtHm+WmXQKRH3Az5YKrVOZtqmUaU6C7iJnjjQnfCQrM9wPfK6O3UknnVQdc25/NjuV5KR9Hjt9pqYywyxtay0ANoWxnMg1DaIQLg1NZdkxVasBqJsjSlIhfTq2PL+75jVnuL84HLNNyCKvjfnz5yfP5efmtkZmRO1LPidXepbNDtF8TdUp0VDVLmGKuefMhW5H+8ZY5eNP0Xbt63mReY7LZnMf6N+L1L6VK79ewhI9903ORBbNUZ4X5R784osvZk274bU7nW2MMcaYgwK/ABhjjDE9ZOhNAOPGjQslkDZSN3vos0SnMizL2E3XVfk1JU+z7B/JTSq58nVYvtNn5++xXBqhkQYsP43EK7uE5TSWvNUbnOVClST1c20rPzc/ZxShoFJxZHKJaBp3vhcvE21D6SALANOmTauOI1OT9ju3gaV7nR/cH1FUCbdJJWieWzxefM0o4kHnLV+3q7cxe8xzf6mcyt7x/Ezcr6n28bhzW/k66vVfRi8x559/fnhfLYPN847LjZd5T5jvf//7tZ9Tfaljy+2N5ihL+7ksoNw3Y+Vxr/eI9ulU5lJtA48lP0eUIZWvmSsBz+fpumvKANl2r+TvRBn7eL0B9b0sVQ5d79e0N5Vt2LNnT2sTcIkVAGOMMaaH+AXAGGOM6SF+ATDGGGN6yND7ABxyyCGVbYntRlrVCxis1sUhETkbLtv1o3AotsmofZVtLtwmtgmeeOKJA9dUexmHKfJ1OHMbAPzyl7+sjiO7KNslNQyNn43vrzb0yEaYqtbFNjC1P7FdOZpm3H71y+DnHCu6hgum2q/fYzst90cU8pcLbePvqu2wKQSWbaV6j67+MiW6xngd8Gd6vyhMkc/nypDqr5Hyu2gDn58KI9X1HflTsK2an03tzWeddVZ1zM+8YcOGgWtqNcy2/hQ8t6KQOp5juZA7nst8zaiPdTxHE445Erh97DtSwnNG+47Hmo91nCMfAO7LnJ8E92WukmNEaoz4u7kssSUcclg+y6ZNmzrvm1YAjDHGmB7iFwBjjDGmhwy9CWDy5MmV9MbyHYcLlWj4RNtCFKMhFarE4U2RBMuhUABwySWXVMennHJKdXz33XfXzlu2bFl1/FhQ1rhtCByjElMUEsbmFJZIWRbNSc1RlizuI52GqWnZVMQDqIfT5ab3aLINMnwPbks05/Q+fH5b+VvNA3odlWxZFtwfRVeUXLY4oH0IKq/fKAue9m9qjXN/aahWZErkucrf1TbwGuaCMdFcWb58ee3nu+66qzrWzI0jhe+rz8Vrmvs/mg9tQ8k0pDIa95Rcnyq01eX+0XVSmRH1OaP5xHsZhy3n2sN7SDTubZ+Fv6vmODVtA/X2l+t9y5YtnTI+AlYAjDHGmF7iFwBjjDGmh/gFwBhjjOkhfgEwxhhjesjQOwGOHz++cvTIlRFNfbeEv6uOI7nPgLpzizq6sLMIf5dLxJ533nkD19R4ZM4VwDnk/+7v/q52HscPR7HbHMuqtQLYUYmdhLSEZJR/O0Uun36Ur5rhMczlEGBHrChmuk3u7CaiPOap8s5a14C/y22NlpY6aeb6oAtR+0tSDmBMlP9Cr9m2fGlEysFR11sq90LX+7GDGjv+6XWiOPN58+ZVx5zPQ8eHc3SsWLGiOm5TFpfncS4PQJOj6kjyJnR10uTz58yZUx1rf0Qx6LmS38xYOWxzf+TKkTf9/Rir9ugaSjk/5kqTc+nf6DrlfvTyyy93dgK3AmCMMcb0EL8AGGOMMT0krTsMCXv37q3kGpZJmtLVAnX5jiUTTcvJUlYkw3J8aE5mY0me23ffffcNnKtx8ZwKmGOGVZrltkR9wJKmPgubB/h+ORk2gq/LkpvGWHNbonSinMshd8+2MmJ0LZaCNU6XJf4tW7YMXCdVblnbytdh00pkStE28JzhzzSet4sErvOijbksMiHkzApdpee2eR24byOzBJPrk1TZVSWSdzWFdolK5zxnuD+iPUTbkDL36BrisYueYyQmAD4vyimh/c6y8rPPPtvqHiVRngUgNr2U8NyPnonbp2uxqb9Koph9vldO9udn4v6LnlXNIimJnr+rcf9RnogoD85IsAJgjDHG9BC/ABhjjDE9xC8AxhhjTA8Zeh+AD3zgA5UtksNzDmY41KYNK1eu7E3fdKUM1XL/pPH8SZObP6eddtob3ZyhwmurmTeyj5577rnO3xn6PAAAcM011wAArrvuuje5JcPJNddc475J4LnTjOdPGs+fNO6bZoa9j2wCMMYYY3rI0JsAAOCiiy56s5sw1Lh/0rhvmnEfpXHfpHHfNDPsfXRAmACMMcYYM7bYBGCMMcb0EL8AGGOMMT3ELwDGGGNMDxlaJ8CyRO1VV11V5Vo/55xzAABXXHHFm9auN4tbb70VAPD1r3+9yulfOpiMHz8et912G4DXc01ff/31A/UGDnbK/OoXX3wx3v/+9wMATj31VADAl770pSq/95/92Z8BAObPn//GN/JNosyR/kd/9EcA9uUoP/300wHsyz/f5/mzatUqAK+HbE2dOrWqI7JkyRIAwG233VbrG2CwnsfBwrJlywAA1157LYB9ufm/8Y1vAABuvPFGAHF/TJw4EVdddRUA1Pbsg3G/zvXRJz/5SQD76p+UdUxuuOEGAPvqawxTHw2tE+BXv/pVAMDRRx+NSy65BABw2WWXAQBuuummN61dw0TZH8DrfVK+KCxfvhxXXnnlm9KuN4vPfe5zAPYV6Cj/2N95550A9m1cZaKMcjF+9rOffRNa+ebwrW99q/bv1KlT8d73vhcA8MUvfrHX8+e73/0ugNcLrHzkIx/BpZdeCuD1ojE33XRTrW8A9KZ/Lr/88uqPG+/B2h9HHnkkjj76aACo7dl92K+5j5i/+Iu/AAD8yq/8CgBgxYoVQ9VHNgEYY4wxPWRoTQBr1qwBAFx44YXV70rJZNeuXQOlOftE+T/Xj370owCAr3zlK9VnZcrJ22+//Y1v2JvEvffeC+D1+bFkyRI89thjtXPGjx9f9U05t/pEKVmWZrSrr74aH/rQhwDUS5H2cf6cd955APb9Lw4AvvzlL+M3f/M3AQA//OEPq/P62DcKl9/V/jjyyCNr+zWwb02WZZv7tmevX7++KgVfmpd+/OMfD1UfWQEwxhhjesjQKgClE87q1auxdOlSAMCOHTsA9O9Nkrn22msxd+5cAPsKJQH7/sdSUjo0lf3XB77//e8DAJ5//nkAwB133IEtW7YAeP1/t3v27Oll35SUz1wW1gJeX0elvwTQz/nzpS99CQDw6U9/GgBwwQUXVLbu0nkS6GffKLn+OPLII7F69WoAqO3Zfduvy375wz/8Q3zhC18A8LpyMnv27KHqo6F1AiyjAK6++mocccQRAF7vsIPRq7SJ0vv2j//4j3HBBRcAAGbNmgUAWLhwYSVVbt++HcC+4hMHq5dyE3fccUdlAiijAL7yla9UMtuf/umfAuhXFEA5Lz7xiU8A2LdZlxLuzJkzez1/yrlSvgAcd9xx1Yb9zne+E8A+UwD3DXDwRgFs2rQJAPCpT30KAPCDH/wAv/M7vwNg314DxP0xceJEXH311QBQ27MPxv0610df+9rXAABnn302jjrqKADAxz72MQDAokWLhqqPbAIwxhhjesjQKgDGGGOM2X9YATDGGGN6iF8AjDHGmB7iFwBjjDGmh/gFwBhjjOkhfgEwxhhjeohfAIwxxpge4hcAY4wxpof4BcAYY4zpIX4BMMYYY3rI/w88Kp6D56pnrwAAAABJRU5ErkJggg==" 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" 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" 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" 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+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
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+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>To see wether the features are biased by the pixelation, we can take histograms of the decimal part of the coordinates. As particles don't know about the pixel grid, these distributions should be flat.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [6]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">tp</span><span class="o">.</span><span class="n">subpx_bias</span><span class="p">(</span><span class="n">features</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'Features found: </span><span class="si">{0}</span><span class="s1">'</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">features</span><span class="p">)))</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>Features found: 147
+</pre>
+</div>
+</div>
+<div class="jp-OutputArea-child">
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+"/>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>We can do better by increasing the diameter size:</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [7]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">features2</span> <span class="o">=</span> <span class="n">tp</span><span class="o">.</span><span class="n">locate</span><span class="p">(</span><span class="n">frames</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">diameter</span><span class="o">=</span><span class="p">(</span><span class="mi">7</span><span class="p">,</span> <span class="mi">11</span><span class="p">,</span> <span class="mi">11</span><span class="p">))</span>
+<span class="n">tp</span><span class="o">.</span><span class="n">subpx_bias</span><span class="p">(</span><span class="n">features2</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'Features found: </span><span class="si">{0}</span><span class="s1">'</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">features2</span><span class="p">)))</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>Features found: 86
+</pre>
+</div>
+</div>
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedImage jp-OutputArea-output" tabindex="0">
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+4H0RsTIzH287mCRp8do6MjXIVDRPrBMRS+idFvn7oaSb30BT6ETEy4G3A6/OzO8NKdt8+mU+FVgJ
+TEfEHuDFwLaWL0IfZD/vBbZl5g8y8z7gK/TKVVsGyXwF8CGAzPwc8DR689+NsoE+85J0ImurTA0y
+Fc024PLq+S8Bf5Xt3xSrb+74M6UxAAABDElEQVSIeAHwZ/SKVNvX8UCfzJl5MDPPzMwVmbmC3nVe
+r87MHe3EBQb7fPxvekeliIgz6Z32u3eYIecYJPP9wPkAEfET9MrUN4eacuG2Ab9SfavvxcDBzNzf
+dihJGiWtnOabbyqaiPhdYEdmbgOupnca5B56F8he3EbW2QbM/QfAGPCX1fXy92fmq0c880gZMPOn
+gVdGxJ3AY8BvZ2ZrRy4HzLweeG9EvIXexehr2/4fhIi4jl4pPbO6lusdwFMAMvNP6V3bdQFwD/Ad
+4FfbSSpJo8s7oEuSJBXwDuiSJEkFLFOSJEkFLFOSJEkFLFOSJEkFLFOSJEkFLFOSJEkFLFOSJEkF
+LFOSJEkF/j9TXyNhTovPsAAAAABJRU5ErkJggg==
+"/>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>But now we lost 54 features! This is because of two things: 1) the margins become larger, 2) trackpy removes particles that are closer than <code>diameter</code> from each other. Mainly the second effect is responsible for the large loss in this case. We can force the minimum separation in trackpy to a lower value, to keep features that are closer than diameter from each other. We should keep in mind that the coordinates of two close particles will be biased towards each other.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [8]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">features3</span> <span class="o">=</span> <span class="n">tp</span><span class="o">.</span><span class="n">locate</span><span class="p">(</span><span class="n">frames</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">diameter</span><span class="o">=</span><span class="p">(</span><span class="mi">7</span><span class="p">,</span> <span class="mi">11</span><span class="p">,</span> <span class="mi">11</span><span class="p">),</span> <span class="n">separation</span><span class="o">=</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="mi">11</span><span class="p">,</span> <span class="mi">11</span><span class="p">))</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'Features found: </span><span class="si">{0}</span><span class="s1">'</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">features3</span><span class="p">)))</span>
+<span class="n">tp</span><span class="o">.</span><span class="n">annotate3d</span><span class="p">(</span><span class="n">features3</span><span class="p">,</span> <span class="n">frames</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>Features found: 167
+</pre>
+</div>
+</div>
+<div class="jp-OutputArea-child jp-OutputArea-executeResult">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[8]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
+<script>
+require(['jquery'], function() {
+  if (!(window.PIMS)) {
+    var stack_cursors = {};
+    window.PIMS = {stack_cursors: {}};
+  }
+  $('#stack-d2224c27-2db9-41b6-b5c3-7493a477adc6-slice-0').css('display', 'block');
+  window.PIMS.stack_cursors['d2224c27-2db9-41b6-b5c3-7493a477adc6'] = 0;
+});
+
+require(['jquery'],
+$('#image-stack-d2224c27-2db9-41b6-b5c3-7493a477adc6').bind('mousewheel DOMMouseScroll', function(e) {
+  var direction;
+  var cursor = window.PIMS.stack_cursors['d2224c27-2db9-41b6-b5c3-7493a477adc6'];
+  e.preventDefault();
+  if (e.type == 'mousewheel') {
+    direction = e.originalEvent.wheelDelta < 0;
+  }
+  else if (e.type == 'DOMMouseScroll') {
+    direction = e.originalEvent.detail < 0;
+  }
+  var delta = direction * 2 - 1;
+  if (cursor + delta < 0) {
+    return;
+  }
+  else if (cursor + delta > 25 - 1) {
+    return;
+  }
+  $('#stack-d2224c27-2db9-41b6-b5c3-7493a477adc6-slice-' + cursor).css('display', 'none');
+  $('#stack-d2224c27-2db9-41b6-b5c3-7493a477adc6-slice-' + (cursor + delta)).css('display', 'block');
+  window.PIMS.stack_cursors['d2224c27-2db9-41b6-b5c3-7493a477adc6'] = cursor + delta;
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" 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" 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" 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" 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" 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" 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" 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" 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" 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" 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" 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" 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" 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" 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" 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" 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" 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" 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" 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swPFv4NSyip0OOPP97TBm6f9hfb3NnGHtkBR4LarthWF/kAsJ1WbXR8LX6myLar9Rl4SvOxJoFhO+kJxfGFW7fiyOL4hUMOwXXFd1Zm8uCzjwgnfYp8K3IJYbg9Os9ytmigbn/NJT2Jvgs0J1vKoWOn/QzU28/zrU2ClhRq5+ZrsQ8Or3ee90Cz/0uq3UC9z3gco/XUjyQ9Tf4v/VrHubXIdn+do12TGDGpvP2RPwnfN/fMbDvXPSKaozxPplJyLy1Vvnbt2uqY7f5NpaWB+v7A/TWasSufc9euXZ39fawr7wf+bVEA4qDiP6PPvOc9WCGb13jsTTMLANcX/9nfM306Pvn97wMAPlk4m3xAHPtMf1he9P1f0KbBTmjt/1syxpgDA5sAjDHGmAFkzJsAjjrqqCrsgsONNAQF6A134vNZYlGpZsmSJdVxJFXzdVXSYbmM5dUydGTu1q34x+L6337nOwEAd55xRo98uYmy0nE446tvuw0A8PZvfhMA8LvveAfWFfLVnXfe2dNWlpW0BkFKZlIpb1+UGY5CWXKhazxGHPISjbtOYR53HruNGzcm2xeVsGXZkPtO5dz9kfM/lTs+QsPyeI7yMYcsRvNeTUj83KORLPm6Ks2mSk1H485mPaA+bzkkkNuqMnq/SuM2mSd1TUXhxkBvSCvPrahuAf8uZ8ZJta+pnshoYQmfr5v7b4fnb2Sy4uvoPOT9L3ePaL7zdXNmiFRfRjVf9D78c+o6OleazFRlf+3YsaNz+KsVAGOMMWYA8QvAPuZNmzdjx9AQdgwN4d5TT8W9p57a6fsPnX46Hjr9dOwcPx47x4/H2ZQIyBhjjBkpY94JcPPmzZW0xbLZW9/61p5zzzrrrNrPt956a3W8ePHi6vikk06qncflS9nDM0LlIJZF2XO0lCenPvUUni2knofpP++clzd795fliX+1kPqeePRR3FRI2Vpqsgm+x2ikT87IyBKl9k3Oqx2o91dUQraEZb02nsapcsoqjbNkF3lps4TI7e+XbNwFlvYiD2aWf1UW5e/yZ9w30TNxdEMObU9TJkC+r8q0vMa5rZEsre1LedrnJG3NlgnU269ZQxmeT/ydNv3W1myUitooYXmY28AOrEB9/uZMb0CvWWA0WRVHsla4TZGMz8+s+wp/N3fvJjMHf67mJ+5nvn/XcsgpaV/NYtEcTZWs7ooVAGOMMWYAGfMKwIHOs+PHVxn+JhRv0ts6ZPU7pPjO4cWb5jOBs5oxxhjTFSsAxhhjzAAy5sMAJ02ahGOKPOwc2tPGhsb2Mz5Wmw7/XNrcU2gWQf4u25SPKkrOzt+xAzcUFaH+qMj6960pU3rslVxx6owzzqiOZ3/3uwCAjz3wAADgTbNmVUlrIlsj29I1bIj7gG1I2pcjnRJ6v1oinSCLWc7uvy/QNnAYTvTM+yIcUolssED3UCx+FvV14LHeH74MUcgnt4mrqemYcIW04URSptR9uDIlr0Wel7lqnlFb+VgrX6YqYUZjp79Ljbva/JvC/HgM+Vl0PkchavuDVDZQ7Y8u853HUP1dUnuX7k3RfsS/43HXEGHeL3kOtHkG9h9IVVnUsYqeKQqN3rJlS+dxtglgH7NseBi3Fk4d/77I5nfrpElYnvtSwVGbN+MDxQvJncVL0PJgwzLGGGO6YhOAMcYYM4CMeRNAqjiISvEAKlNByRoKu2OpTB+Z5Zco4xhLPrmQGA7fmDdvXnW8sJCT/tddd1W/+8tCBv1uYSp4ascOTCwkpLcVYYC/u3kz9hTPf0lhIlhMpoOob1gmbMogNVJSUp7KtNy+qC08Jjk5OicdjgaW46IsayzH5kKP+lWEpV/kso+llnuUmU5NQzyevA50HjZtKRw2qCGDKXNFmz7mdoxmW+vXdUaC9kdqDpZwH3FbdS1yn7NsHYVO5tZYv0KJc/A9opBXbrOOD//cNXyR10BpwgV6JXk2vTbtR7queFx4bFOhhUDcz9ym8vMXXnih855vBcAYY4wZQOwDsB/YWCgAl59+OgDgPy1Zgv9eJBz6vwu/gGfGjavK0E4o3mJvmjAB/61QCh7rEDpojDHGNOH/VfYj5YvAf37lKzGpyOL3pkJOmrhtGzYXMtA/Fv8uHx4OpWljjDFmtNgEYIwxxgwgB6wTYIQ6jLDzBDtcPP3007Xz2FFj9uzZPddduXJldaxOM5wXn+/35JNPVsdRbnTN98xOjTlHFnbyiJxc2IEklRtd26RTICpTmYov5dhjdVbJ3QOo94HGrvMY5XLHA73x2HzfKM67ZF/HRjfFmAN1pyDOO981vzdfV50Ac/OgROejtg2o9zPPPY2T5jj/Eh5Dvm6u5DDnieD1VKLOUtzf3Jc8Z7pud7n9h5+Jncai/P265+jPbYj2kdE64ul8BHrbz45uuToHUfv4d+zI2bbdUf+P5L+sXA6Q6Lo8v0fjeKz3TTmc89zV9RvtBXxO2a+7du3qPB+sABhjjDEDiF8AjDHGmAFkzJsAhoaGKhmpKRZYHeZSJR1zZWEjWZ2vq5/zPVLyS5RbQH/HbZgzZ07yfqtWraqOo9htbqtK422lrKi9/N22ce/cz9F3uL9yzo6jKUfKqBzHZpeofbw0uK2jya/QNmZe5VS+f9N8Usmf+4+lT5YR+2kOicaSJXIub6rmA5b6uSx2ZMbQPkqVEu46XmxK5HbrWLGMn4tNB+qlr7WtbOpQiZ3nSySxj2Rt8Bxok+6a5emcWS/qZ24/X0fHnfcX3rea/ntSuXw05p4UumZ57Pge0R7Sdnx4/eozRfs2t6k83r59e+f5YAXAGGOMGUD8AmCMMcYMIH4BMMYYYwaQMe8D0CUMUMOu2CYT2UxK2ObS1YbSJm94lM961qxZyTYsW7asOlYbHdvVm/Lr58j1Rz/z7bdtQ24aRiE7jD4z9yXbGvUeHF7T1G98Te0v/m7XPPJ8Pt+jazhPzjbbZjyj8rT6Pbbtc9ighs4uWrSo51pcG4NrDNx333218zh8j+8XhULp2uBnYDsyf1dt7F22P+0jDmfkfSMqVa5zhuuW8BzV52T/gKY5MZI8/V1DC7vW5Uj5MOh9+Tz2R4naF/k+laTqR4wm/HM0/0VqzRoe9+nTp4f3Yz8vAFhXlJNneIxKP5WRlAO2AmCMMcYMIH4BMMYYYwaQA8oEwBJ/FHLRNsSKpRegLqWz5BYxefLk2s8s37H8xGEdGo6nnwP1kCeW1jgMCag/Y5RN7KUczpwJJoJDo9T0wt/lEsfR8+l4pvqe5WWgnvEsyoTH8PjkQqfYRNNUxlNheVWzsfE8i67L0na/yhPreLIphuchZ8OMfgbq43DqqadWxwsWLKidx3P6wQcfDI+jawJpeZrnlkqyUSY8ngt8TZWjua0cvhiZAPYV3CZ+llwYaVRKdn+QC/Xl8Wraw/jzXKa9fq0DvUfK1BKZK+bOnVv7mfcqnj+8v+g+FZmleW2W63LLli0uB2yMMcaYZvwCYIwxxgwgY94EMHHixEqS27BhQ/Zc9dLloiSbNm2qjrt6uecK3vC1UoUeIq9VLW6SKpqh8lMuoyFQl4L1vvwcuaIebTzCu9JU1EPlQZbKWAJbX5RRbgtfV7OPcUa6CM7uxtKammX4M5b1oqIwKuflxoHJZaPsB9H4qKTJXu8c2aKy+umnn95zrRkzZoT31Qx/S5curY7Z9MMSacmKFStqP7cpWKWmt2j74/7l9a5rv8vWqfdlUyKbVtasWVM7j9ddtC55DvP4bNy4sXZeqiBUm2I73HZuj+4JXcwJal7ivYrXV7Tv8F6uMn/KDNR1/+L1pt/lPuPPov1Yv5uS6LndmjUy2qd4zjzxxBMA9pqvI3NzDisAxhhjzADiFwBjjDFmAOmLCeC6667D17/+dQAvesBeeOGFlYR4/fXXA9gr0V111VUAemXUFOPGjauuw9JcJIuo9y3LJCwnqlTFko7WQAfq8pRKOKkiFjkJCchLgny+mj1GM1z8nCzhqnTaVCCkazKQ0dI1KQe3L1eAhJOutCmKUqLSOM8znqORV7BKluxxzjKtyvxRASCG+0WfJVV0iX/fpl/5Odm8pl7/kVmD+5olTo0C4DZxRE6UCKiUPktUPi9JPTMQm2l4jLgvR7P2coXKuA2cKAaoy8pRhBJ7jPOc6ZcHfBciEwW3n/c4NT1wP/N1on2eP1fTEO+X3K/HH3987bzIXMTX4v9LdD3xuubrNs0loD7ufD/+v6OrJ3+5Lnfu3Nk5qsMKgDHGGDOApAMzO/CWt7wFb3nLW2q/u/jii6vja665BsBepeDqq68GAHz0ox/tx62NMcYYMwKsABhjjDEDSF8UAOYzn/kMAODDH/4wvvKVr9Q+mzt3Lm644Ybs96+99trav2M8StEYY4w5IOlbHoArrrgCAHDccccBAN7//vfjkksuAQB84xvfALDXGXDJkiUA2psADj744MqRJFXpqUTTubKjRyq2F4jTKjLsuKHxtHw+H7MTSeQco+1PpZfsml431TYgnR61bQrlEn6e3Ln8WdQH/Gzq+MJOopwTQOObgV4HsZxDHMNOSZHDHjtYpRzpgPq84+9E99ZYYXZy4lh5dVjka3G1yBLuA/0uOxilYqMj56Hc2PIzaypm/Rmor5u1a9dWx5rXge/J8yMaH3WU5J/3haOqrhPOf8Djk4q5T8HXUWc1nmtRHpRUDgqdozzvcg7R0XdT61TnWeRAncqhohUk2dGanTujfYPvo46f7FjH92uTnrmtszG3iZ1ho3mmcfl8j5QjvKZ4j/YRvg7P+67/ndsEYIwxxgwgfTEBXH311fjSl74EADjvvPMA7M3oVToCfuQjHwGw9834yiuv7MctjTHGGDMKrAAYY4wxA8iYrwUwPDxc2bLZjqO2caDXVtLWpsPnRT4AuWQybI9iOxvb66L8zGoLTtkstTRk6t4lnIxC7ep8ra520a7JeIC6XS+6X2TfK0n5bPQz8RA/U1SvoastF6gnWGL7YMm8efNqP59//vnVMdsEf/azn9XOYxt/1K677rqrOla7eptEQNFYaJ/wnOX26DyM7PU8Z7iPFF43fI9ozmn7UjUSuiR5UniO5MrZ8r4QJZnJJXfhNVv6UJUcc8wxOK7Y995Y1A85YudOPFu05cfFHFszcWKtv7TWCP/MfkSRT5GusdHUnmBfEU4Apf3Bc2batGnVcVSrgO3+6hOUGmv9/yKao6lkRLkkTk1zS9vPa6hfZaPLtu7evbuzD0DfowCMMcaMjhnFf8x/8sADeG3hFLat+M9k8/AwJhWff7QoiHTb5Mn4VOFYt6Eha6QxJTYBGGOMMQPImDcBcBggS1GRfKJyC0uELDtqOA3LMpF8x9fVXN0sD3EOdL5OZFZQyZXP4ftpSAgTSal8HZWKeahTpVP1/tF3U9K95qtnqWyk+a313l1znOdCFpumftu8+Szdz58/vzrWuQIACxcuBABMLcb15MWLcVghIx5UhAQ+sHAhDj/jjNr3eO5zOdSSW265pTpevHhx7TMOu+vXcmdJVeXVyEwTSa5A77zgfk6VXW0Dz0UeB5VztZ4AENcdGC16Xw75ZNl/TjE+VxYmoIP27MH/V5iN/rbowxfGjcOhRT+9t1jHv75mDcYVn3/89a/HUpGmH3zwwepYzQNNpMyT+kzRvtDW/MJj9PrXv746Pvvss3vO5TDT5cuX1z770Y9+FH6me2FUr4LXRtt1kgrfLtE+aTOP9TtRv6bMMg4DNMYYY0wj9gEwZj8x5YUXcPk//iMA4OTVqwEAO4aG8Fzx1+rhxV9pF950E1affDIA4KYPfhAA8LQkuTIvT/5jod4cVPwl95tnnomNhUL5Aik/LxR/eX67cKz7yZFH4osPPQQA+K1778VvL1q039psDlzG/AvAjh07Wsu+mlmJZR+W/VVSYQ9eLW0K1L1OVTrn77KcybJoJNeozH5yseEDdQlSJVKWxqN+iSTNCPY8VlkqMgEwKe/4fnm1AnXpkL3MOXtfiZYEZWky9ywsE0d92fZ5WPpj2bGcKzOKZ/l/V6zA4cV8+cEv/dLeNnz4w9hdmKp2FmaBGTfeiHlFGu33fvazAIDrP/UpbCnmZiQj8nNqhAnP0X7J2zlP8iYTEqMyMo81y+SRlKwyLv/M6+axxx4L752C2zQSD/goQomz/QH1/ijbOnfrVpxdlPz9ciGDn3rhhdV5kUmJzYAPfv/7AICf++pX8W8L6fzJYs7wvnb33XdXx2weKlGTJbc1V7I6gudCzqTD47u6eDkG4kgnXpec1RCo/x/AETdqNovGiPcRfmadz/z/B49JVLJbI8D4/4+UGVbbFrWVf1eauiOzRhM2ARhjjDEDyJhXAPY384q/Zi544QUcWbwFrio++wcA616aZpkDmP9n3d5ZcxCAr//2bwMAni2UjNPJUXVXcbzmwgvxcJET/oJPfQoAcPYXvoCb/ut/3U8tNi8F5z/9NHYU0v5PCmfS2bkvCI++5jUAgNddfTUWFuakn7zxjX1to3l5YQXAGGOMGUAOCAWgtLmwPSjKkPdUYT8r0cpaJXPnzq39/Jrp0/GrN98MADi1sIltO+ggbC7sLJMKG9Bn9uzBXYU99S9PPx0A8BDZVNl2yBmqIvun2j7vu+++6pgrxL2meKsvYbsbh/aU5LLXsW2Y7cL6nSiche1VI8kKGIWBsb1Obfs8vhy2FNmwtQ1so+M5o+FP/L3Ifse20Fw4E48lhzD94kknAQDe8Gd/BgC49r3vxazXva723XXrXtSUamGdc+YAABb/8i8DAM74q7/CQY88AgB4QCqgAXW7qa4DDoflcYzGuR80+QDwXFA7Ms/FFUWSGyC2g6odmedQqoKdhtVG83ckdn9eT9Hzqz8J+02U6/Lg55/Hs0W7nyzaPJOeUf0IgPq8XVP4/2ydOBHPrlwJALj33nsBAHfeeWd1Hs+VCPXpyGXsbILHgde7+qnwHE1V1yzhMFe1sS9durQ6Zrt/m5BF9oti34KcD0BUnXS0qN9XNB95H9T13oUD4gVgXzGt2Az/yz/9E8oh/syCBQCAH0yZgq3FRlU6Z1349NP4zWKR/clNNwEA/sOpp1ZeusYwJxYvaDuLzefBV78ar+h4jdU/93MAgFf+9V/j+DLdb5Bi2Bz4bB4awuHFi+aEkTgfFv9xHLJlC54Pco8Yo9gEYIwxxgwgB4QCUEp9TeGAKutoiEhJGQZzTSGjjJswAX/63vcCAKYXkvu76fw77rgDALAMwK8VktoXHngAAPCx++/HrxR/kbF0w22JJByVebhwDEtRKtc1SbgspZ1USNAlLENyWKSG/URhZnzflHTOpgugLs9FIS8csqjhiyzZzZo1qzpuYwLgNrGcqCGeLBFG2dFS5o05hTwfXZef48kirOiZ4ll+9LOfYY3IdRzqxseVTF7Ij1snTsRQIYduDTJAprK1Ael1w5JyJInq91jOZaleC2SpvAvUZcpcFspU4adoTqrZhud323DYJtqau/jekQlAw9m47WV//fDoo/Hxot1nLVkCAFhJZswbbrih57q8Ht6ybBkAYPzOnVhyyikAgKML2f3MM88M772s+A6jfT2aAlzcZzx/NIspn8dmmocffrjnmryvTJL8GDy3eI8dTfhrP5PlsvkrtWZ1X4/2+ShT6khMelYAjDHGmAHkgFAA+s0JxZvSm4u/zL/2hjfgqeKNdHryW3spK239dVF5678uX16FDj6wD9pqDlyeK97SjxiFXXd88RfNIVu2YJv8pW1eXqyYMAF3Foll/m3hzPYX55zTKgvkMc8/j/cU6uR9M2ZgoyRFMyZiIF8A3llsxKVYdPuJJ3a+xveLhfq7y5fjgkL+eyBTL9wMHj8tipb8u8IZ8I1r1mBpx7k2tyjyM37nTjz6ylfu/WWDF7c5cPkfp54KAPizn/wEAPDbX/86vnfOOQCAHxZ/dGwbHsaE4o+O1xYvChfdf39lLvqiRJoYk8ImAGOMMWYAGfPlgJvy0jMaa855mtlp4s8Lp5vzi3jqq//0T6vPOI60hJ0r1HnvT//P/8EdRR7/v6a/7jj/+O23395zTX0ujmFmBz3N/83OLOw0VsIOWRpDy7mu2TFR8wBEMfvslMd9wOfmysI2OUbl6jNE+cAZdSqbPfvF/GncXzq27EzU5EDDjm3saAnU+5LbXTo6fbHILXHi9u34b+efDwB4vDgvcpgDgEOK+OLyL8HFQ0O4tCgbG8Vx5/I/tEHjpKPfpcZBHe6athR23MrlAWDa1BfguchjxM6MXctS83jquuD78/zpWhOD103p8Dqz6Jf/d/NmnFOs421FHzwzNIQji/tNKNrwkyOPxCemTQMArD/44J5+5D2FPxvN9q9jEs0h3nfZ+TBXOrwphwozknK7Kbj9PO663nl8eY9t83/Vvv7v1uWAjTHGGNPIQBqt1Tlr/LZt2BlkgstR2uAmbt2KF5wIyGT4vaJk69+tWYM//fGPAQBfX7gQAPCTBQuwrfjLo3QSPHfVKlx8//21a3xiepN7qnk58VgxJ3570SIcV/zF+YbiL+NJu3Zhc6FG3FL81b/60EP7VunRDA4vKxOASlALiqx+QF0GnF6UTfxxIV3+P7Nm4ZuF1D612KyZt7zlLdVxKTm9spBm3/7Nb+KDRenNf6UUrSxjjSblqspPHHMeyZlRfGgJy61cOjIXlx2Rk8cYjq2PUu3yd1W647byxhZdR9MI83Pzc2pcO+cXiORtfk6OTVbZkecom370mrN27cJfl/Nn/fq9bRoawpbiBfKwYjzH79yJlUU993993/sAAHdSzoIoBXSZqwLonRfcPk5pzP0Uybca38/XzUnpUdreVMyz5qBgeZq/M5o1xNdRGb8pzS1/rs88GrmZczDwse53/Fl0v1SKZS2RzeuAJezRPEMb2NzDbc2VVec1HplT+He58eQ50ya2PnWdfvZRKq8Ej/MUyfQZpSFns1vZl7t37+7cVpsAjDHGmAFkIE0AjxZ/7dxQ/PXx0Q0bcEvhsNX0/nREkdHs9dddBwC4bfJkrHF8tmnB2qEh/P8KJ8DphfPQzz/9NCYWf1lOKopUrTj9dKzX2G9SAIwxph9YATDGGGMGkAPCB6C0xzTZN9T2yDbYyGY5u7jejTt2VNUA//mMMwAAP547F9uK6z1d2PbfvHEjPlCUZC077YIjjsDawg7FOfybStjmbI9sD9MwMbbVRtfgPlL7GNuSOA++XieaEm2mifY/l/+M7MJcCld9CThXONv8Ip8DzfHPufqXFDnVgbodFKjnp49sgnrdqD1AfUz0HoraeNkGzuM12rC+1D1zpXj7RRRGyuGsXDNikygbqZz6kS1Y1wY/T658c7/gseM11NWnJldvgK8brUG2l/Me18/wPn5O3l+0/zUvv7aD10bOYZGfmffUEt4f1XeF78HzIfJxUfj8VPgiUF+b+8LxUv1i9GdtU/lsmzdv7rxvDKQJoGRNMdEumTEDf1I4zVxaxOz/6p134vmik0vnrIN378aNxWB8vPjPbe0+2kSNMcaYfYlNAMYYY8wAckCYAEZ6burRVFY6kTL4LSpUgTc+8QSOKP66P6iQLG+bNQsPiVTMMjaHgEXlZRmVdThEjeWd+fPn187jkLdI1mIZS5+f5SEus9k1c1kqY5Zehz+LzBWcRSuXCZDvFz2zjidL9ywJcjY0oG6W0FBCoP48OZNOlMkNiKVgnRcjkaojiX00YXJAHF6pJVt5znIf6LqLZNGmUt4lKcm7TZgij9f+MAFwW5tC1xQ2T/J45uT3iFRGz5wZgvstMgPp/OK2cvt0zjWVEedjNRfwGm4qec5zSecVt4+fbTShfDomvN6bwgV1/+Z5wqHibctl59q3Z88eZwI0xhhjTDMD7QMQsbpwMvsa5ZOfOXPmiydQQhhjjDHmQGXMmwCGh4cr2YQlrsg0oJ7mbQt/sOQVSW4sT6lUnZL6U0VeUm1LmQD0PJbjjj/++J7r8nA+99xztc9WrlwZtiVnjijh/ubz+fe5whxNsqhKgpyRkSX9qG36O77v+iLjHtArTTdJzDwveBxUGudn4zkaXVOlab4He8er9NnFpKRzj9vEsmgqOqBE28/rK+e5HsEmFj5fowC6yp8puA94Pmi/Ruu0y7yNiMxd+ru2ERj9ykjXlPGQaXsfvWY0hxju+32VgZDbwPOsX1kbgXp0E+8FWhQL6M3I2NYUxkT/J/G8LT9/7rnnOs9XmwCMMcaYAcQvAMYYY8wAMuZNAAcffHAld7CU2cbrOSVJ5ep6R9Icf66mB5Y2U0kYItlHPZhTXtUq/7CE3NQH+pzTisphQF3effbZZ2vnRYVxuBiOnt+G6JosV6kUy/3Kn0V9XPPRQN2Esnjx4upY5XeWBSNzEfcvj0NbGa9NQiU2fXAbdOxSHvhd28TyJT9/NO+1v1KyddvomxI2qU2XKoc8J3jOjSYxErdPE0lF4879wnNJx4T7PLdmgd61yvfNreOmKKi223eqIFKbedPW3BPtt6niPDlJnvu8yUSjn/P9eI/jiCNgZHtYdF02T0bPlDNDc19y3+h3oj7n/z/KyKMNGzY0mgoVKwDGGGPMAOIXAGOMMWYA8QuAMcYYM4D4BcAYY4wZQMa8E+Dw8HDlVMOOQE2pW4F6LDk7h6hDWlPsMTuMaDrZfsXppq6pdLmHOiOxownHr6pzl+YPAOqOW/2qgJVypgHqjkd8v6g6WM5pJhdv3eQIlBoHHYOUk1RTVTyFU4Mq/NyRQyXfV58rVWEv59yqn3chuhavV15v6tzHTl1N7dPxSTnI5p4jytXA45tbbzy+fJ1ojkZjVsJ7is7lnAMj0N45MpXzIXq+fsboc79wG9T5MJVbJNdvQN1RFKiPey5HSZMDNTvZ6d4UjQMQr3d1pOWUv/wZ97nOyWi/Te1rTgVsjDHGmEb8AmCMMcYMIH4BMMYYYwaQMe8DMH78+Mo+xLaXKOGB2mBmU0Ef/q7ale69997quKmMKOdrB9L2Zm5LdE31OxiJ3S2yUXNiGb1vUy2FkpFOCbVd8TNp4iOg7muQSybDNrjIJqhJPrhf2KasSUO4VLBeA0gn8dB5NtpSvCXcf9pW7r8oeQvPJ62JkZrTXfPup2oB6Njq/YF0ohMdd/6Z+6DN+PB9+bvcX7lkUF3pUg9Bn5PnEO9NOu78vcjez32QqyXBeer75fuxr9ZBE+wvwImtgPoaYtu5+odFa4KfJ/IxK0nZ36P1pL9LlZDmvot8SBQe93K8tm/f3rrGRNWeTmcbY4wx5mWBXwCMMcaYAWTMmwBYomJ5J5KUVf7g81P5vYG6LKOlHwFgzZo11XG/ypXm5LNUu/XnKOc4y50qJ7IMti/CF0fDlClTaj9zW1nKi8weGqbDfZDLjR1J1QzfiyXD3JLhMYnOG0k50K5oH/FzpkxTkXyra4zP4euoZBmFV/K1crUdUqapphLVSmQyiIhCt/g5uS+1X1m65z6OpHptK5vqjjvuuOpY1wFL94888kjPdVkKTtUmANJ7SmTm0n0jNU+61oBoC49Jk1lBpXoO/ebv8h4OxPs491GuXgI/J8+B6Pm1j1K1ERj9Pyjap3hPLI937txpE4AxxhhjmvELgDHGGDOAjHkTwKRJk6rsaSzRRFKwSuJLly6tjo8//vjqWL3VWXJZvnx5z3Uff/zx6rgpSqCEvVOjtqpE2Va64Ws1ZUfT+7K0x970nJ0KGHnpVZWquH1Ncrtm1+J+ZnNAGwmd79VWcs9lXwTq0qxGIrCZgSMLItOK3ocjVVjWU9PFWFimnD2Sx0tlZPW4BurjwM+i/ZEyR0XmLpV/2fQwmvLBbK5gKVjXKO8bTfNM5zfLv/wZ9zFQl6qb+pU/VzNMSm6OMiHmTB3cH9rHUR+0jQzgdrCJNhr33H6QMt+0MXPyvsFt0Hu0NQcCvVEK/DOvd/7/IJcNsoT7q2z39u3bO5sYrQAYY4wxA4hfAIwxxpgBxC8AxhhjzAAy5n0AUqE+mpEP6LW3sO1q/fr11bHa2ZjIhpLK8Ae08w+InkF/x3Zlfja+PlDPnhc9B9v51e7F9jG2LaodMLLXs10qlbVKpxLfP+obttG1/W5UiUttljk7JdPWn0PvoWPXJQOajhnPraawvLZomCuvCx7bTZs2VcdROFjOPp/LWhjNd35OvpeOJ1dLTM3X1Hd57bb1B2ham7nw4VRVvcifREMlZ82aVR2/9rWvrY5PPPHE2nkPP/xwdbxixYqe6/I48HiqjxH3AYcWRn4FCvcH2+T1Odtcqw18jyjce/r06dWx+uNwG3j+qC9B5BPAcyZVQROoz2W240fX1DnD7Uj5PaivSRRWy78r14EzARpjjDGmFX4BMMYYYwYQvwAYY4wxA4hfAIwxxpgBpDcLxAFCrlxjCTuLsMNFzrEuSozBTiDqkNHGkSyXs7yEHVa4PXysRA4f7IiiTjmp5BbqxBXlR2dnG25rLvEEO5xFjiy55Byp3OXsdFOi7efzOVmLPlfbfm5qa5eER9oP7Mh21llnVcf6nBs2bKiOI2erXGllTk7E8zWXNArofWaeA+zI1yZxSSoRkN4jVa8iQscs9V12JFOnsWgf4efheah7A/crH0dOh/o7btOqVauq49e//vW183h+RHsTz29e3w899FDtvFtuuaU67upgyuOVKpHdFX0WXpt8j8gJkB1FI6fgEt7ndT01JWdjp1N1IOS282dtEiHx2uDn5MRfuq9HbeX+Kj9v8/+MYgXAGGOMGUD8AmCMMcYMIGM+D8CRRx5ZlXtlmS2KC1YpmOVWLhPJ+deBeplNvkcJS2sqWbIcxDITd2uUs0CvwxIhf1dla44nbjIB6OcsEeXysUcmgEhyAnrNKan7RX3AqJybijeOpPpcWdJUmWWgff0FRfuL79e0nNqWotZ75CR3oP5sPNeBerlZ7g+WiSOzgs7RVOlZRZ8RSMfM6zpO5WOPZOuciStV2lXzMETjxeuY1+W+KuXM4/72t7+99tl5551XHUcmADYfLFmypDq+6667audxjoCmea99kqqH0DXuP5f3g+FSyWqyAep7oI4nf8bzQU21kazOc4/zxmj+BZ6zuf8bgNhk2ZVoP+b2p8xrbbACYIwxxgwgfXMCLN/Q3/WudwEA3vGOd+CUU04BAHzpS18CsPft8Y//+I8B1KvzGWOMMWb/0jcTwGc/+1kAL0o2O3fuxA9/+EMAwNVXXw1gb6ndL3zhCwCAz3zmM62uOzw8XMnBLPVG0orKOiwlsVylchB3Actx0e9YGtJrsUcqfyeSbFX65J+5PSpv8zN29eblNnGEhF5HywMDddNIKlVqrj2RLMzyXi5tMfdfJN1xWlWgPjc47WkuYqONF3wbmjzXFR4T7g/2dAbq5q2nn346ex01cfF3ObXsAw88UB13lXPZe17bGm0pfH32ts5Js3ydSH5vOz48X9WrfN68eT3n8ziwGVHNXSyrd50rixYtqo7ZRHPuuefWzuNxveeee3quw/3Cx7qGZ8yYEX52991391xz9erVtZ/7ZSVuW56XxytaT6mSv0DdJJCbo1H0B8/LjRs3Vsc6R3mvbooeUvme97JUH0SSvxKVdt+8eXPnMtg2ARhjjDEDSF9MALfffnv1RlK+2d5///3V5+Ubzdy5c7FmzZrsta699trav2PcR9EYY4w5ILECYIwxxgwgffEB+KM/+qPKZrJ27VoAe22vpe3+u9/9LoC94RT/+3//bwDtfQDGjRtX2XlSZWhLynDBErYFs/1u5syZtfPYbsQ20oi2GaymTJlSHWsmKaBumwbisEag1weArxXZsaZNm1Ydz58/v/YZh/AsW7asOtbsdZEdiUOM2pKzaet91Zb32GOPVcfsWxGVQF63bl3t55GUJY3sbqmwyba+F5HfA48PUH9u7i8tbc1jEtlF2alWx5Ntw9yX/HwrV67suaaOOV+H52suNDY6h9uvY5UKtYvWkGaBS4X+8bxnezsQryG2+/N3OVsbUJ+jObs0kC//zcfaHu439mkq4Xm5dOnS8BkUbl80Vupf1S8VludlzueHaVpDuuez/wv3pd4v8qNhHwDOvKnjzufxdaO527bvcr5DXfxLuo5VX0wAv/d7v1cd33jjjQD2mgDKKIBLL70UwN4O+vSnP92PWxpjjDFmFNgEYIwxxgwgYz4T4Lhx4yo5j2XASBbRcI1UJiiVm/i6TcV9RpJNLirSoN0+d+7c6pjNG9oeDseL5DE2b8yZMyfZDpZwVS589NFHe67LYTFtC4KwrMUmkRIOTVJ5kyVclvijzIMqefPc4JCnNoWbUnBf69jx/fk4yiqpYWicIZG/m8vmF825E044oTpWExf3H4exPvjgg9Xx8uXLe66p/cUhablsfiqZKqmsgMDo5GaW0lNZAdWUEPVlVIAG6JWNuX/4OpE5L5etkk0ZatbgcK/I/MWf89hyiCJQ72eeZ5EJQEkVb9K+i8aOz8+ZL1PF0CLTAI+tmu4WLFhQHfN8VbNmZCLh/YrP74eJsYTHN1WcTedP9P9HZMbZvn1752yVVgCMMcaYAcQvAMYYY8wA0rdUwPuKPXv2VFITS05NnsZAXUphqUiz/UVSLcP3altApinrlbafowL4WOUmlifVyx8ATj311GSbWNZimZYzwqXgPktJpOwVDTRHLLCpg+VooC63NtWt1/akvGY1YyB7EKtkCtTHmvtOs3+lPLpVxgd6pUfuI76uSvI8Rlr0CqhLiCqLsnTMz8n93yYTIs8ZlpHbZB9j6ZO/q5I8S765Z9Lr6LV4TnB/qbwamdFY2uc2aOQR9w+PXSTZavtTkRC5vlTzAFB/Zp6vuUiV1POl6JeVmK+j48B9yf0cjTubE3Vf4T7gIm86zlGRIR43Hgc1vaSyvEZjp+uK+7utKSHqA57fZd+NpLiZFQBjjDFmAPELgDHGGDOA+AXAGGOMGUD8AmCMMcYMIGM+D0DkUJNCHS740fgzvSY7TzTFXKpzTSpdLDudRI5GuRSo7CCoDm7sPKPx3kC9zK8WXiozMwJ1R5o77rijdh7H/JewIwo7VfFzqDMl92vkZMalWDX1LTtVcSx/NF0jp7ioTU3Onv2A8xlEbc3lUGCHJnWOO+uss6rjaNw5tbOWc+W5lXKyixyIcmVQOX+BOj9FaVa7xicDdeeryLEz5+jG85XHQZ8piq3n37FDro5dKqWulmMGetcxX5fTzuZyVUTpkLkN/N1c+li+TjRHdQ9MtUmdMJvOYSdGnW+p2P8m59Tc/w8p51y9RgnP21SZd6Def7wmojWkc5T7g9uec+CMnD95vpXzcufOnZ1LxFsBMMYYYwYQvwAYY4wxA8gBZQJIye0pWD5iGUXT0nL8eiRV8vlaxY8lF5ZluH2RdKcSFLeVpUaVt1lyiuQxfs6TTz659hnLkGweUOkqSpPJ8nkq3lTlOK4AqDH4QL1ftfIct4GfM5KXc7IX94eaXdg0E11jJHG1PF5RBUSde/ycXJFPpWmeT2ouAeqmH51bHFfN5pSHHnqoOm6TEpavw5Kq3i+KW2ZyZiOe+3ydqH06PvwzjwNXj1MpXtO8AvUxyUnyPC95fCJpvG0aal1DfK0odp2vy1X8dH9MmSuifVTXQsqc0jUNOj+L5mLh8WKTUtf1zvfgNaT7aHQNNn2O5L/FaD/WtZBK/9s2vXoTXdttBcAYY4wZQPwCYIwxxgwgfgEwxhhjBpAx7wNwyCGHVHY7tjVGoRFqTxxJ2camXPPqI9Av200KDSHkUDG2+5awj8CKFSuSn7ENTqdAVM6U7X3c99xfmiM/lf+9JBVuBdTHLpXXPTo3+rlE7Y6pXO4lKVt2zvbJJY4ju7XWHEiVrFZ43mmZZwB41ateVR2rTZ6vy33AoYNaiwGI+6SE/QH4mYG433iObd68uTpWGy/bjHPht0DvXOD7pmzjamOP9hEO5eT1zdcB4nWi30/dl+3cbcsVR/Oa+6itz0qTL1UunDoVWp0iFY6o3+W9gPs8eqZcGGNq7Wu/RmuT1yK3W8NcU34NbcIAU2PUVDumLfYBMMYYY0wjfgEwxhhjBpAxbwI4+OCDK6mPpZdI6hlJtrE25CSzNqGJkSSq0iPLrakSn0A9BCyS4FIlbPW7fL825VwZDkfitnK52K6oJNdGKisZqWTG8p2WegXqUjWbITREj8OHuC1tllaqhK2aA3huR2GA/CzcbqA+//ge3L5IEtU1xmYaLnWsmQmj0s+cnXD9+vXVsY4drwuW3FNyewrOVMht1T2Cs/CV5EwfKXhORGG/el8e35zpJ5WBs4T7T00UTNcQ6jbovhatw7b34mvlykUD9edsm5m1K3wdDb/kOcrnReHTbfdWfv6u2fzKebFjx47OoctWAIwxxpgBxC8AxhhjzAAy5k0ALLGwl2ZX7/uclyXLTJEcx972xx57bO0zlhDVw7ukySsaqEvQLMdy5jYlkq35XipJsfzLxyodNkVPsETHz5EzwUQRCzwOUQGitqhZIGUSUE/spqnPz5kzF7DMl5NhI9hjnPtdJXmWf5uKwqgEz21fu3Ztdfz44493amtbogItPC9zMiU/G/dzJKXm9gDuL+4PvU5TgSg2t2i7+Vr8zG0kXO6PnPzbVQ6OrgnU+4OfI1qzOZNaKrtqCm5/rlhRSnKP2sfjPtL/vkZjSkxFQbXJqpjaI3m8cllim67jKABjjDHGNOIXAGOMMWYA8QuAMcYYM4CMeR+AcePGVfaRriEObEfl73a1BfP5Ws2NQ4bYR4Ft95FNVG28qWqAasvjTG5R2EnbUMhcxbbItyAVetM27KapQpx+zvZCtmG3yQTYtlphKvNXCfflSJZJZKvXkCJuK99DfVF4TjRdN5d9jL/Lcy6ysWsWSg5142tq2Fx0rZHaskuiNaQ2aF5TqfArrQbYFFrX1k+C529kG9dMmCnfHv0uty/yeUjZrXXseLy6+qmkaOt704bRhMGl4L7Tfo3GiNc795eG1aba17TH6Xd5TvO+rntENFd4LpTX2bVrV+e+swJgjDHGDCB+ATDGGGMGEL8AGGOMMQOIXwCMMcaYAeSAcAIsnU2aHBzUCaOts1rkVMW0dQZjJ6SmfNbqpMRtZSc8dR7iZ4ycedh5LOc0yW1VZ57IkZCfm58nldBE2xIlWGpbArPJ0VDvy+d3dRxNXZedx9QZK5fLvQlONJPL694093nOHHPMMbXPUmVbOXFVNJd03rKjEjtejiR3fgru86Z1qfUBeK2wE1xqHwBiZzBeG9wv6mzK7eOxi9ZPbvy43V3rmfB3+R5t11ObzzmRUq6EdlTyO9UOfc5+Of6l0GdqSqbF7dZn4LnFDnvRGooctSO6lgPmOVruTVu3bu2eIK/T2cYYY4x5WeAXAGOMMWYAGfMmgOHh4UquYWkkkjpy+dNzUgzLu1FZVJarVHbk7uM4aZZko7h6ZcaMGdXx3Llzq+PFixfXzlu1alXY7hI2LaRqEzQRxbOmZKm206cpF0JOAsyZK4DeWO5cjDrD/deUb5ul+mnTptXO41jxxx57LHm/LugY5HLSA8057UtYvuScFlGJYe07vsdoalSwVKpjx9IsnzcaM8u+giXvVD6HNvA81L7jPmgqLcvmDJW4eX3xHjYaE1mbfCp8Tk7mTtUY0NLbQH1etpXYueYGUC8XXcJlo7kNTz/9dO28VC0A3ptLNIcA9xH3fS5PTWRaiWrkPP/88411XBQrAMYYY8wA4hcAY4wxZgAZ8yaAgw8+uJI4mjyEVQ5KpUdVOZE/iyQx/p1KlizFsPzC0tDMmTN7rqmmhpNOOqk6LqXZ6Zs3Y+7PfgYAOKJo41MA/rXwxr4lkPh5OFVmY+mPj5u8goG6NMn9kSvNyX0VmVaaogRKUmWMSzRdayp1cNuUwSUsl6dSEwPdJN+2Xt7aXyzXN6UcVfMYPzfLyKNJ3cpof0TPyJ7kPN/0XJ5nqeiFEvW6Zmk4tw6aSMnWmqKVx4Gl3mg+5CIaeJ7peXytyJzFY922jC/L4ZG8rP2aKnucu0d0fe4vPZcjTHhdNqU7132D+5L3ile84hW18+bMmdNz3WOOOQZTCtPWawtT3qFbt+LJ4vN7588HAPyY9l02+UVmMd2bunrpA/Gex/tB2V9PP/1054gcKwDGGGPMANL7Z5l5yZhS/KX28euvBwC8ct06bCveuJ8p/iI8cudO/M66dQCAfy3ern/3sMOwtkUhCmOMMXWOKRSPy26+GSevXg0A2FHspy8ceigOLfbl99x6KwDgjmOOwZ8XikJ/XH5fOqwAGGOMMQPImPcBGD9+fGUPZftO1Gy1F7XNWMd2x40bN/ZcN9dFbBPj+02fPj15P/0cAF47fTp+/1/+Ze/9Clve1SedhJuPOw4AsK3og6kTJ+Kc5csBAO+9997q+3/+y78MAPjGbbdVv3v44Ydr92C7WyrLHRCHlLFdjs9nXwK1kXK4TGTj51ActZWlwtoie9i8efNqP7PdkUMh1T7GYxf5KHAbeA6oHwh/1lRqVb/Lz8OfqX8Cn7dw4cKe6x5//PHV8Yknnlj77F6aJ7cWf8UA9fUSZcTTtZAKQ1O7dWQLzvmKpL7b5JuSywDJcL9qW6OwqbZ2VLZbc1uiflL7PO85ueyeTf3Gv0vtRUDaz6nJbg/U+4/t7/qcTdfiNkS+ByXsoxCFB+dKNHNbOVxXfQBOO+00HFWs78u+9rWqTfdddBEA4K6TTwYA7JwwAc+sXbv3O/ffDwB44w03oOz13zn7bADApkMPDcMA16xZU/s5le1zNH4q5fzZtWtX5+vYBDBG+PCtt+KgYjF//NxzAQCPT5zYs6i2DQ/jpuI/gJWLFgEAfufv/g7/pjAbfCOImzXGGFPn4u99r/bz9z/5SWw59lgAwM4nn6x+v714mbrzjDMA7DUB/MdvfAMA8LHipeATxYvAgYZNAMYYY8wAMuYVgF27dlUyEMtPUbYxNhEA6TAzlTtZ6uxqEeF7sly3YcOG6phDNkrOLt4YpxahI6fdcguu/zf/BgBwwcUXV+ep3HXTTTdVx1+9/XYAwI5DD8UfFfLTUcW9lo0fj1mzZtW+mwqv0WxVTeFxKSlYsyQ2FSdZsWJFeC6QDnWLJNsHHngg+d1chkE+T6V5oD5P2mYXZFNCZFbQjGSpIjKabTA1z0omFlLj2WvXYsbddwMAXiieadLZZ+OpYl6sX7+++s5PfvKT6pjna4nKyBw6xfNHZWudB0B9vXJf61zifub+iPpS13tKUuX+yhU4iuB9Q+dS2+yL0X1T4X1R35VEayJlhtD78Xjxc0T9qvL8okJpBOp72bJly2rnrVy5sudamkWvJLfH8BqPnpnbrNfhseZ97aGHHqqdN+3pp7Gw2H/+rJT7t24FinX05je/OXmPG264Abe+7W0AgAv/4R8AAPN27MAGmY9A73rnceDn4HnWpmAVK8Nl+0ZizbcCYIwxxgwgY14BeLlz2qOPAgB2jh+Ph888EwDQqxfk+cfDD8d/f+IJAMCFxV8Q/0sc8szLj6lbt+I/LVkCAHhNoSRtHzcOLxQOgxOLv6SGf/hDLC8cA+8tlIVNwV8VxgwKb9i0CduLv6JvKByyf67D9x981asAAG/+9rcB7E0c9JNARRzrjPkXgEMPPbQqCMEZ9SIZ9oniP8ESrovOsgrLoEA36UTlGZYaWeZsKlhRtmF30ebnJ0zA0iK+fyvJXlqk5a1vfWt1zDLQlkLCnVZIf5MnT+6R6FhezEVFRJJTqsgE94dKZTlZC6hLYDoGLFOyZBxJ9QsWLKj9/JrXvKY6ZomZTQ5AXcKNstc9SY5A64qxaSJV4KNE5XseQ5Zt1cTFJoHXFMcf//a3K8fRf33f+wAAD595Jo4qTD/ji/Ge95Of4BV///cAgKuKzGV/dvHFuIsky6itarZhMwGPp56n5gugLtezNKvzKhWZEUn1Kl/ztVLe0BqNEknU3NYoi2cJe303eV/r/OK28nrT6/D3on2K5+hIaCo0AwA/K7KRAvmCRNHaZAmcTTRqTkkV/IoyKPJ9tK18D/5MM//N3rwZW4rrzCqcqnkuXF84VQO90U3Dw8NA0W8vFGM389BDMaVwIGR0fLj/uA94veszR3OL12tplskV6EphE4AxxhgzgIx5BeDlzvPF297ErVtxcMs88cqEHTtwWPGX5WaHAb7s+bc//CEA4KA9e/CZ97wHADDznHN6zttZ/IWz7M1vxvpCsjz3P/9nAMAHbrgBn98PbTVmLLJlwoRqzxzJvjtcfHdiobK9cADK/4AVAGOMMWYgsQLwEnN7Ya/9wL334ozFiwEAaySzXRNvWLkSBxd2ouusALxsmV3YN08pQpX+5o1vxFOlf0zDd8sEJ9cW4afvv/FGzC8q9C1zHQkzYNxz/PG46Kc/BQC8ZulSAMCDge9KikV33QUAGC7s+PcuWAAEobRjnTH/ArBt27bK4YGdJjTGHeh1ZIpiXIFeZxp2hInyC7DjhjposFNXqhxwROkk+Ehx3oOzZ+Ntt9wCAPhU4fD05OGH98S48zPOKvrjFxcvxq2Fs83WwtllGoAlhYd4BPelxlPrz0C7sqM5R6jIgYmfRT9nxxuOQz6uSI3M6HNyroQziuxdQK8jGedYiJwc2VmN45/VEYodj46gF7DIGU7vwz9zulJ9zpUrV+I1hQNfWSDqqiefxAtFal92gJ07d27tu5xG+Mnis0uGhvCrRR9/debMMI2p5qDg8c2l6Y1yCjA8v3Su8Tzj+aEOviNFHV4j50/+XS7nA+8bvN6jPUT3A75urtw493kUE8/n58pr877F34kclJWUM2+bsti8hrgPNKV3KjdB5ATIfaLriecPzy1ds99bsQIXFvvB24o19I1nn61i+fn/F+33I595Bh8q9pjbCiftf1m2LMzhoHsOPyf3PX+3jTMfj2HZr23Kuis2ARhjjDEDyJhXAAaFvznvPHz8W98CAHziu98FAHzr1a/GsuKN8YXiLfTQXbtwYfGG+BvFX1p7APyR/NVnXn4cUcyFZ8pSpQ0qU8S24q+25ydMwBENGR+NeTnzJ4Wp9QuFyvqF++/HX8+eDQC4v1Dvto4fjwmFInRuoZJdTKrsZ044Yb+1d19gBcAYY4wZQMZ8OeDp06dXpU45YcaFF17Yc+7P/Vw9l9MXv/jF6phtL/fdd1/tvNWrV1fHUXdwrQD1K+A2sd2a7cJa+hfotdds2bIFM4u/yP68sFed88wzlb332eK+R+zciQlFG39U3Pv3pk7FuuIvO05y1LasqRIlXeHfsS2P75Er0xnBdiy1CbItj/sqSlKkv2PbJCcAUXtzKhlLyT333FMdc9KgnD2XiWy2ajflRCls29Rrzp49G/+hUH5+u/j3Vy68sCoTzQlrNHEJ32OoeOaPX3EF/qb46+WaE05I5mxnUvn/NUlSlCym7TbTVPOgLTxGXUukpq6jpK7bpm4B/5zyBwDyCWKAdP0DbRvvf123/FQb1H8iGndeu3xf7SNuL/dB1Jf8O11j3Aa+n+4vvJ+VvlRXvvACXlfM8WrfHR7GEcVzlvvurZMmVYrrcurXKFlYzp6f6hv1A4n2Jk5yV/orLF26tKf8cBM2AYwhHism9u8UTm/HvfAC3lT8x1PKtc8OD+NHxeDf3qEYiTnw+UGxEX+8cIh745o1+EHxctyW04qX3/E7d+LW4MXUmEFjbfES8Zsnnog5hTPe24oXiSN27sQzxX/UNxZRMyv4RSyTGfFAwCYAY4wxZgAZ8wrA+PHjKwnk/PPPr35/clHCkfnbv/3b2s+PFoV2gHS4DFCX+ZrCjVTKYwmKZRyWzdiEUKI5/icEedmXDw/jilImKqTjoaEhoJBro3KkLKUdffTRtc9YamT5SaXF6Lr8O257Lt8/93kkO/L5OiYs8+XCMPU+QF3u4/tqWWaW57RcKFA3EXD7mkI8o3uXqKzNMiqHEHJIIAD80i/9UnW89vN7c/h9aOVKTP2VXwEA3EXz9ljJST5//nwcumkTAOD1RfjS8hNPxOpSWty1Kwxh2lR8pyQlr6oU3CQx5+R57p9UGG9JrqRsKnxO79fUVj4/N+65uhZAbx/xfIpCEUt4zUZ5+xleGzqeLCPzuotCFqdOnVr7ma/FMreWge6C1gJIle2OxripXHlErhZDyebNm3F/cbye1LFqnyjm5uoib4BeR80MQG//ct+nQiq1L6K1yf+nlPtfql5LDisAxhhjzAAy5hUAY0ydWz78YQDAO/7oj/COT38aADC+qAVwzymnVOeV+crnfv/7WFSoY+XfTv9y8cUAOTkaYwaPMR8FMHXq1CorGsuDbA4oUXmPJXD2/NcSjZwFLfLoZknskUceqX2WktJzsiNQ98wG6nIry0Ga8ZDlr8jjM1VGF6j3B99P5fcIfk5uO08f7bvReF+zZMn9H8mlKn1xm3KyLfdHJDdzX7MHfFOmuxzq0RtFCgC9fcdjVGYYnLlzJ64ozEHnF2tj+7hx2FZIkYcW/TJ+1y6sKkxm/6N4QXjy8MNx9913V9fUeQ2MTuJVUh7POj4so/J3InlTxyw1j0czDycXjl9A3UQD1NvO6y7yhlfTFcu6ucx3/EyRaS5lmtJn5nmWKzut7QHq46V9wEQe7zyHeB1rmWXuj6UksUf7cS4qiNvOc6aN2YD7KHc+78/cN5EZo+1/r9zuJtOXtq/cj59//vnQXJDDJgBjjDFmAOmLCWD37t34gz/4AwCo4olPO+206m3x+uuvB7D3Le+qq64C0OsEZ4zpxmPjx+ODhcPfu046CQBwzrp1WFAoG2WJ0k3nnotnCtXgydtuewlaaowZi/TFBPCtb30L3yrS2JYJCt70pjdViXiuueYaAMB1111XSY0f/ehHW1175syZWLBgAYC63BMlR5g/f37tZ5akVqxYUR3fJpsgJ1WIZESW0jXZDSeUiCQ6/X5JrigMS3QqRTXJmSmpNYe+jEUyHxf1YBmeZS+9DptaokIVOdNDylNZTSdA73Oy2YS/qxLlsmXLquNItk0lQNEx4P7gaI5IQtdn5rbnpPHZRYpSoDe6Q9un843nJXsPc/si2VHlRDbBpby2U/B45qJD2ATAazzqSy1kk5ozLNnyPAaazV8pr22gnnCJ56UmYmq6L19XzxtpMiQ1LfF84vkarUvdW1mu537VMdGoESC9J7YlMpHxnMnth/zMOs+ivZHnCY+n7sHcf9G+kYPXaSpyJBcZU8Jr6LWvfS2AkSUCsgnAGGOMGUD6YgJYvHgxzi7qjF9++eUAgPe85z09Di1z587FDTfc0I9bGmOMMWYUWAEwxhhjBpC+KACzZ8/usVkODw/32E5WrVpVs2VGXHvttbV/n3zyycpOxba1KCOcFjR57LHHqmO2q6htk+0mmoENqNvENcvajBkzqmPOJsf2sCikpAzlKuEMWzkbKV8rCnFrWwAoCv8piex2bG/lNrGNTv0juH2RrVGzKjJs9+LxisZd+/eOO+6ojtmeqfbeJjs2X5fPVZtcKgQssgXr/OHz2Qapz8R9ENmtua/vv//+2md8D24729ujsWhboKmNrwmfw/4uauNlPw32IYl8FNTnhPssdazPGc1Lbit/rkWyuMgXj0nkr6DPyW3n66pfQ8p2X5JaJ+pjxN/lcY2uqXbt5cuXV8e8/tQfRzNt6vl8L13H3Cb+LPJH4n1m7dq1tc+4n/lY98rId4D7LDf3UiGC0RzV+3If5LKoNsF7zr333guguz8C0KcXgIsuugi/+Zu/CQD4yU9+AgA455xzKueRj3zkI1UDr7zyyuy1yip/5b9c0c8YY4wx/cEmAGOMMWYA6YsCMHHixOxf6u9///v7cRtjjDHG9AkrAMYYY8wAMuZrAUycOLGW67jkF37hF3rOffvb3177+a/+6q+q49tvv706VuevstYA0FsnAKg7Z6nTDDtv8HX5vCjroTojscMiO9eoEwk7ekQOPKPJe14SlR3le7GTIj+HOiCmHIBK2JlGnYK4X7kPosQgOcfHnHNNl6mfqoWg7WMntihpkfZtqhRsLsd51Ad8HXZMBerjxQmxuN/a1FgYDfw83AeatIid4FIJp0pGsnVp30XrJXVd/W6qnGuUpOyEE06o/czJx3jOqCMzO7xF49G2XkPKaVMdGwH0OGrzc+fKqkd75/r16xvbANT3Au6/yDmVz9XrsFMkj22buhGpvVP34JQDdZSwJ1fqmdvODsNaJyFqF8+Lsl+3bNniWgDGGGOMacYvAMYYY8wAMuZNACwbsYyjcfRAvXQnUC9xypKPSjgsuWhcKVCXZ7S7WJbjWFaOX+U42pKuudRLcrnJgXpsssLx/Swd6nciGUmlya5E8fvcR5p7oE35zhKVkbvKYEAshfI8YSlP25qKPY6WlsbqppZfrkxuJIvy+Ojc4jal5l00l1Q2TZUs1WeIZOnRbjOROUXXeyonhebX73KvOXPmVMe657Dky/eL5p/OUf6Z556uk5UrV1bHUX4O7uu2OUDYXKF9CPTG3vPc4PwmmrOgqYxtm7Ljer+ojkqqDLPeg6VzXU9RDhVe7/xdfc5UW6Pnz5kA2tKUq6LN71NYATDGGGMGEL8AGGOMMQPIAWUCYCIJR70lFy1aVB2zN6pKZSyvRlJjyrMUqMuO/Bl/Jyrfqm1gmZKlRj2Ppd6oDyIP/hKWF9l0oXJ7dF1+BvZa5nPV+5nluKhdLJWqVMYyd9eSqPyc7G2tU53lzJGaZLqi8n3KDKL9wX2rKXqBvEd/quTwaMiZopoiUaL51fa7beF+5WfWvonmVqr0c84sxeNz2mmn9Xy+cOHC2s+8b/Da52ggANiwYUN1HJlWuP38edv5zOujRE0AvI55zWp7onvy3OD+U7mc10VT9FBu7xoNqaiO3Jrph8QP1PtDTdSRyY/vW/bHjh07OveHFQBjjDFmAPELgDHGGDOA+AXAGGOMGUAOKB+AXEa+CLadsM0tVzYxCjth+4xm42K7V5QBLPoO0Bvuw2ViU2E3QN0eF9mGuA1qo+M+61rONWWj4udvG4YUXbOt7SrKgpezd+bszWz/jPqS+57vqzbvttnYuqDt4ex+0fzduHFj8lqpse46B7gvc7b6yG8nFdql45kKuYp8SPQ+fC1eB9xuXYtRX3Jf8HV0zabmb9TWyG+jhOeP2n/Z5h6FM/I48H11fFKlrdv4XHCZX14zGtYX9SX7LLG/gvYlz3eeH9Ha5vto+/n8XPhrF1u5tjUV9hvtIdonPP/a+j1EfRCVjN+2bVvrUMsSKwDGGGPMAOIXAGOMMWYAGfMmgKGhoUpqYylkNGFbKrOxbNJkWlB5L1eYIodK0yxldZVmU6hE2vZaGgYE1PsllWlPnylVKKmEJbCcRNeUXa9t6Fiuz6NQzalTp1bHLOWp3J6SjCOTSE56ZElZ+4P7KrpGLvxzpEV9VLbm/uI5oDJ+09rk83Ut8nPkQs6aYEk1ZfYA4rnTdi2milSlisUw8+fPr455vWkmUv55NKYm7g/ObNpmjnIfcOE0LRoU7Qvr1q2rjnke6hxh8wb3c5tw7zboHI32kbbhsqmMh01zKUdb81p0ftnWPXv2OBOgMcYYY5rxC4AxxhgzgPgFwBhjjBlA/AJgjDHGDCBj3gnw4IMPrhyg2FkmiolV54yUY0lX2AlGnUnYaYmdXNgZLHIa0ZwBnF+/bX7ppph4jUvl5+CaB+q8E8Vic/9F99V7K00lLds6LHYpjQnUS63OnTu39hk7Q7GT35yiPy7YuhVHFA5RO4tzb50+HSulX5cuXVodP/roo8m2NMHjddRRR9U+Y8eyKFcFzx8uTQuk5xM7hkVj13Y8dT6MJj97yhmqa/6HtkQOe/xsvDZ07qXKx0bzUdvPY5Jzbubv8Xwt4THkOazx59yvIymX3YZojNruu10c+3gcdI/j5+R52DU+vq0jNu+jUR4AXpdAes7m7hGVUo/qVWzfvr1zbQIrAMYYY8wAEsczGDNgTC/+QvjE6tV4faGAbDvoIGwuFJ4jiyptH1q8GHcW2dD+/JRTAABL9WLGGHMAMOZNAENDQ5W0lEonWpJL8ctyUC4ePJIEOf2llutkSadfeQBGQy69Lj8bmyv03k0lkVPleVWizMnEQN2ko7I1S3ZNUq9Ks/wz94fmN5gxYwZmFPf52sqVe78L4Cvz5gEAtrznPdhRSG0ziu8uvPNOvPrb3wYAlKP9zqOOwmPFfVavXl1dP0r/qhId933uOblvo5h/jufW66TmVtfY47ZEz81talveeTT5MFJlunP3aHN+Cp5b0VznlLhAfS1Onjw5eW9ew1E+B+5Lnltt+yuaS7pO+LpR/HnUlui7vGdH5owSNkFG5go2n2r7ee5xH+teGP3/kUpxrnv+SMy1UXu5D7gv1bzdNB/L6zgVsDHGGGNaYROAGWj+oHi7L/8O/NhZZ2Fj8dfBG7hAR+Hg88DrX49rir+2//D66wEAn3nqKfwKFUwxxpgDASsAxhhjzAAy5hWA3bt313Idl0S2l5G6M7ANLsq3zTYgtcewLalLzvWcXSeX+56/F4UXsq1L7ZvcZ5z7Xm3+69evz16Xc+SzTVDzikclKxnOqa/2Q342zj/+5JNP9lxHx4xteRxOp34XJ48bhzcUbf7C2Wfvbedxx6H8W57bz7a1DYUa8HeLFgEAPnLXXTilsO09SfeOwoJypYRz5Uu7lFpWG3TKL4TnUtRWDT/i+Z0L9Yt8cSJbe0S/6mCk/Cna1C1IlZDWZ2Abbqq0a3QuUB8Tfk7t19HYm9vcL7qmrjHuD7Zhtwn/5DmWC1NkuC+jOcDf1THhOZqrV7Fq1apsW3kM29QRaEvKZ4z7VeuSRGHZvF+We8hI2jXmXwCM2Vec99RT2FZsID+WHAFtuHnOHADAh+++G28pFumP+tc8Y4zZp9gEYIwxxgwgY14BGB4eriQhlrGi8BWVs1g6YRlLpXOWiprCKDR8JCWF5u4XfS9lEsiZCpoyjqm8yc/GYXcaghfB/c3SPT+bynEsW0cSMLdVZVNuK4fWtYFNGjxe06ZNq503df16PFfc9+E1a3qu88wzz1THLEuWEmQ5u54ZNw5HFH3NJodIts/JuNxHKgPyHI1Co3i+aV/yHEodRyFcOkePPfbY6pjXVk7OLZlCTpK5+/I9+TnbyJup/SFXhraJXChrl0yjuSyC3G69B5+noYRdSO1TkbkiF0bK7cmZiEq4X9h0qO3hPajJ3MVhgLlspzy3cnO5hM00/Mza77zW+DiaW7p/8888f7qGnnIflGPSxUxYYgXAGGOMGUDGvAJgzL7iueFhHFH8RX5I8fa+NVHnIOKQ4q+KI3fvxuaE45gxxoxVxnwmwIkTJ1bSDBd2WVlkbmNUXm3rUczSTySvsnykkhNLdiyFslQWRRbk2pArYsGyW5MUrLIjZ8ni66o5RaVyIJ2di/tj06ZNybZEXuZdsv11gceEzQE8fwDgjMMOwzUPPAAA+FQRafAPlPWR28f9XpoV3r1hAwDgvyxfjgvnzwcALKe+jMwemuWLZTueJ/uqP3gcWHqOxodNIEqugE0Xcp71LIs2yct6Lf4st/Yj8xyPNX9XZdrou0Bs5tHvcrY9nqNqEuFn4mil6PNUESMA2FDMVSD2Kk9dE+hWmEtJfVfnG+9NvB9FpqmUaReo92WUkbIk2js54oKfTU0d/HPTPp8z26RMVrofR3Of51i5vnfv3t3ZlOA/W4wxxpgBxCYAM7CsPOQQ3Fr8xfCRIvfBrUccgfWBYxQzrfir5NcLx8GbDzsMK8rvjG1BzRhjKqwAGGOMMQPImPcBGDduXJiZK7KHqb2cQ8DYPp8Ll4jCYvg6asMdKWo/TFUr7FrJjIczZ2fj/lA7W2QP5jZxCArbiXO24KhfUxnGgPpz87hGVbxy4Y7cr7Nnz66dt2DBAkwtbIFX3nknAOCgPXtwVeEH8N2jjsKWoo2vPuEEAMDPrVmD9z/8MABgT9H/HznttKp+wAOFTwEQ2/9yGfRyNFW3a7uM+TocahiNudpJU6GIuVCniFSmvTbfZWbMmFH7mfuW13gq45qeF52fg+34Tfbw3HOlQhaB+jNF7eJ1lcryCNTXCN+vTXbBVCZJDVmMQrO5Hbn2pVC/HSAdQqn34P1Ow2qj/z/YT4JDj5944olWbY2eXzNAcn+3rdwXnTcSf5cImwDMQFP+x/2+wgnwDzdswB8WeQ5+f9MmPFNsckctWQIAOHj3btw3cyYA4Euve93ea7TIo2CMMWMNmwCMMcaYAcQKgDEA1hXy3aWzZ+P4QnJ72/PPY1IhnU6YPh0A8NOZM/H8rFn1L1sBMMYcgIx5H4ChoaHKzsP2rq5pD9lepXajKNZ0JLS13QP5dK05O1uXmOvIzlXC9mm1XbW1TSn6TGxXjuJu2R6mtn3+Lsf9do1zzaVyZSL73Sz6j35mIfvrNYF6/oMVK1ZUx5G9X/s2l7q5C7m45VSsctO81+dk3w+2zWq8dZQ/gNcrP6f2Ec9ZbndT3HZ0rTZE/ghd51gbdM/hvuS5r2PS5HPE7W9rC85VGwV6x53XRm5viPIitM0DwG1iP4hoLNiufgzl7QDqfiE8Z7RtkW8B+wBwRcR169bVzkv5TbSZS9y36h9QonM9mtdRjpXt27d3rhhpE4AxxhgzgPgFwBhjjBlA/AJgjDHGDCBj3gdgeHi4smmyrVHtfxFsZ2ObidrV2NbYlHN8JN3FZTBL2paFVV+Hkdrnc/fQZ4pyaKfsq7mc8GzX0xh8oG6P1vHka3FbozKeuXh1/q4+F5fubbouj4OWT+acCnyPyMaufc3231yZ3H7WBtjXNMVDc1+2tVlG9uVcWe/RMFq/jMjXpB/jF9mYeT7xXFfbM++FTTZ97ddUngLt7yjXR9v9itcNr4kov8JJJ51UHR9XhO+WsP8Jf1fz9EclrDlXAM9RLUfO/gF8nX79Vxrl5FCi/di1AIwxxhjTCr8AGGOMMQPImDcBHHTQQZX0xVJ9JDdp+BHLJCyBKZHsn0Lvm5K4WF6Oulilz0iSiuDnaJKYRzq0XSTMtiWXI7PCnDlzkuc/9thj1XG/0i+rhMrzqalEKveJhizyOOTKxwK9kmZbyS5X5lnbpxIiz1Fua9uxi0iloAVGF0bHcjObzqIS1TqeHNrK6VvbmAtTpNLg6v253VFf6vpJrSeV33nd8Hwt4X0jV76Z28rHUaiwtoHD43JjG5koUuGpOod5jnKIXhQqx+tP95CTTz65OuY9WNdstMex1H/jjTdWx6tWraqdx6aPJhOHmsO4b0dTDj0VBtg1FNYKgDHGGDOA+AXAGGOMGUDGvAngmGOOqbI7LSkKsgCx97BKUCwzsYTIkhaQrpSVu1cJSzosM/F1IglS25ryHldJh4erKfMUVysD6tIwmz3UlNAkI/Gz8f1yUQCRxMXmjFNOOaX2Gcu5jz76aHXcJnMZn5OTcFlqjKoMbiyKAuk1I3NGScockPodj+H+8PTP9UcT3FaWZlUyjmTRtpk7WeY+/vjjq+NIqtb5z2PIny1fvrw61qxuozEv5SRtRfcV3lN4TuQk5SbT3KRJk6pjlc75OXntR3NO28p92TVrKo8bt1/XEPclty+ao7yvnXjiibXP3vGOd4TXZEkfqM+JEu4j7gOd32xe4v9LUp75TL/WOM+3sq07d+7sbkroS2uMMcYYc0DhFwBjjDFmAPELgDHGGDOAjHkfgEMPPbSyZ3EGtq5Zp9hmovY6tilFoTS5inJs90mFVUVtVdhWxj4D2tYuNji1kbI9im1c+kxRP3KWLLbR8XPmKhc2hTnm+oivG4UhaZ/wc7P9TvuDf24bhtmFKKOX+pPwc0f+JyVsG49swZydrEtYaw5tP7eV+6ur3ZHD+zSTG9uu2dZ63nnn9Vznfe97X+3nU089tTpmm+/nPve56pjDS4F43Hn9cV/rPEtVs4z8SXJhv3wPtd2zrTzKhsi+Fdy+XJZEPi9ad/q7tuMezUveS9qGh06ZMqU6XrBgQc/nPGf0nnwPHkfN9PmKV7yi57o832+77bbqWP0HUuGWbbJapnxFuv43HIV17tq1y5kAjTHGGNOMXwCMMcaYAWTMmwCawmtGQk6qjmQsllVG0l1RuJ7KbHxdbk/XUC1GJVy+Vk62jWRBvta8efOqY5bZVF5tkoZZ3tRMjXw/ztLXpsAOP2e/pncufI4/4+xjUVs142A034DeOZM6r6RtIRy+Lvd5NM+07/pViIqfZdasWbXPfv7nf7465rC2NmGEfF02p7Ap4YEHHqh95+GHH+65DvcFz8MoE18JS+P9KkoE5M0DQL19OTMnn8dSdWQC0XWbKjKUC+Ur4b7k87WPeB9hE1ZUSI1D/d761rfWPps+fXp4jzVr1tTOW7x4cc91ly1bVh1z6DGb14B6uGDb8NYmeF222bNS53Q2JXQ62xhjjDEvC/wCYIwxxgwgfgEwxhhjBhC/ABhjjDEDSG9g6QGMOk6xQxajTh1M15jmVLlLdrCKHDM0VrtNDGkb2GlIY4E51wA7qKljWhRLyufce++94b21v7lvIoc4dtJRp6BUPGuUh1+dj/hafB11YuPcBpEDEzv75Bwz+WfOVRHNv7POOqv2M48JOx6pQyU/Uy5fQESqFDbPwchRte1a0L6LnOV4/NkhTetVrF27tjrm/o9KR2t9AJ6jK1asCNuq9+N6ECXc19wvWjeA+6epRof2Seq7Ou+53yInTL4u9xE76mqb2HHtzjvv7LmmOsyl6p3omo5Kao8kJ0XOORgAVq5cWR3ffPPNtc9SJcZ1zUZzm+fxzJkzq2N19OMxaspRknPK4/2R+1gdOCMHYG5r+fnzzz+fvFcKKwDGGGPMANIXBWDVqlX42Mc+BmBv9T4AmD17NhYtWgQAuP766wHsfbO+6qqrAKT/OjfGGGPMvqcveQC+853vVHGcH/zgBwEAF110USVlXHPNNQCA6667Do888ggA4KMf/Wiraw8NDVUSB8s4bcr2tn20VArf6HOVoFmW4/uzNNfmZWf9+vXVMct1uXKSUR9wXLVKdJzCkuN/1VQQpbBNfc7PHEmAJZHEzs82mnwHKpGlZEqV/Xiso3wTqfmjsiRfl+dDlBJWn5PjllMloYG6lBqlhOX+1XvwuOfGqAtRG1L3B+pzlfuazTAA8MpXvjI8nj17ds81dW2UewtQj/Pmua5pXCOJmvsoZy5MEc11nUv8c670bK6fgboZhPtI9yk2TW3atKk6juaD7qMp85OOXdSXbDbJmTm5vbxfNpURf93rXlf7jFP88nNq+d9IruffsQlOcwakUi5Hph9dC11T9bah3Gd27NjRvcR331tjjDHGmDFPX0wA55xzDi655BIAwJe//GUAwHvf+17cdNNNtfPmzp2LG264IXuta6+9tvbvGE9UaIwxY4rZW7bgzYWieHjxV/eG7dtxY6EWbEp+0wwaVgCMMcaYAaQvPgCf/exncfbZZwN4sWznxRdfXNk7/uEf/gHAXmfAJUuWAGjvA8D2QraxRPbvtrnL9bt8XQ0TAup2HLUhsg2I7TtsJ49CWdQvQMO+StQ2zT9Hz5ezs7G9mX0U1q1bVzsvsmGyHTX1nBqGksrNXsK5zbWP2HbI946eT+2kbJvkMqD6nKmyryWpEq9qF+bvsk02ygmv84vz3XNfqh9GLmRSr6NhS9yXPHapPi7RuZfaKtqELaX8d3TcOff78ccfnzxPrwm86ICs99i4cWN1fP/992evAdTXFT+b2svZFsz9GtmCc33JbdV1wuMahbideeaZAIDJzz6LD91yCwBgwdKl2FGGhhXz9vBt2zC+eNYlRYjgP1x4IZ4IQjbZdg7UfSt4bnHIJlCvuVCS8rPRNct9xvtPNOdSJdiB+vpjv4Knn366U1sZvQe3vSlUtq3Nn++hc6Ap7Ldcu3v27OmsmPfFBHDBBRfgk5/8JADg6quvBrD3P5tzzz0XAPCRj3ykauiVV17Zj1saY8zAM7l4ifuP3/wmhor/RL/z7nfjh4VD4PbiP4/ZRx2FV9xzDwDg9T/4AQDgI1/9Kv7XBz4AAHiaXjTM4GATgDHGGDOAHFDlgFOlL0tUGmXppF+Z9nKwjMUyUZQZTeVylh2nTJmS/W5JNHQsa2vmMpbH1JTBzJgxo+d3LP3lvsvkwhlz57Y5vy0sR6tcx/JqlKkwNQ6aKS2VgauprDJQNwmwZDlt2rTkPSKJmftrw4YNtc/42ThUqylLW878xHMvV167JFV6WKV9lvH5maL5oKVieby4jzg0VudulAlv9erV1XE0L6J78HofTdlkNtMB9dC+0rzKXPbtbwMApmzYgC/++38PANh81FFYuHBh7Tze/5657z4AwK9+/vN4vLjfNcV3AeDBBx+sfffWW2+tjtk8oH0TmVN4zvDY8rFei0MWI3hd6dpLmWXahOOlSs/rOuZx5+tGpi+dC/3a1yKz9QsvvJCdr+F1+tIaY4wxxhxQvKxqARhjzCAwpXBEnb90KQDgu+95Dza3zK5annfzm96EC7/1LQDA5OIv+6dIRTEvfw6IF4BS7mB5I5JXVTZl719GPVBz3qlA+4IWfB2Wg7RdQN07Hah7qXIbcpnAHn744Z7fsTe3yqupz1SWVi9goJ2smZPxNWsYUJdw22TqArqbcth7X80p3N7o+Xjc2bSicmLOTKNMEmerBQsWVMcsVWtf5qIQgLr5i6MrgLoXd8pc0SYTYqrQlPZdZJriuZeLAuBr8XNG7VNP7rvvvrs6bhrbqC0lUcGp6Dq8bpqkXd2v+Ll5Tut1+Gde76cW//FvL57za3v24OTE/gMAJ5xwQnVcmviGTjsNO//5n/der5gj9yxY0DN+bFLidaA0zSHOdqqmGF5TPLei6A+ew3qdVARBG+k9ZQ3Pyer9Mv1wu3U/jvY8bmu5T40km6pNAMYYY8wAckAoAMYYY16kzPD3bPGX47aGmgERuw49FNsK9WpCkAfCvPyxAmCMMcYMIGNeARgaGqrsLGzjiOw1GvbG53DYiYYLsk2pqx2F7V4nnXRSdcy2MrbBptrANl72B1D7D9+P7cclbOtSWz7bTPmZU3bhruQyWEX3YJtm22jUqFKh3pfD0No+p/pkAMDMmTOrY+47zYDGNkK2vU4JHKo0xJJtmDy2OnY8rpwhr4Tnk85hbgfbLJsyIerc4+vy/dT2O3/+/J5rsV2d+1LtpuwjwW2KbM9qm+V5EIVKRveL7KspnyD1DUjZ7iO/nVyFRr6fZmTkecD7wqPF8buKPnhi1Sp8narW6f7yhje8oTou+/jg7dvxc0V2w7tXrgQA/NM//VOP7xT3K4cSax9HPgAp27tmxOQ1yz4HmtUSqPsFqL8L7yN8D53fkV2fMz3y5/qcfH9+5ij8Ve/LfcljzfOyjS9B5CeWCmPMYQXAGGMOMH4wcSJ+MHEiJuzZgwl79uBtDbHzEWctWYKDd+/Gwbt349bp03Gr5CAwL3/8AmCMMcYMIGPeBGCMMabO8sL57ydHHgkAuHTNGlxfmIbWByHSzORC6r7w9tvxs8I89JhI6WYwsAJgjDHGDCAHVC2AVC7yNuRywnMShsh5iJ0ycgkluuS+P7J4cy857rjjqmN2EGKnGyUq4crPqY4unMM+5+yYcqCKGE1u69x9RnNdniecpEeTsbDTaNQfqYQ12q/siNR1XrLzITuCalvZ+TFy2OP2aenTZcuWVcfsPMSOYpGzla4THhN2iON2A/G8jEoYR9/le3ZN+pRaf/x7TdoUJf1hZ7DoWUZCm3oJQD6ZVjTu5xcOl3+zfDkOLubrN089FcvOOQcAsL2YR4fs3InTH3po73d++EMAwB4Av1Q4uq6jub5q1araPXjOcBt0D4ueifcy/rxN8qgUPGY6Pql+bVvauut3u+z5Cq9x7lftm6aSw6m2tcEmAGOMOUAp/+P+4Lx5+LPixeXS22/Hjp/9DACwpXjBmrh1K4aL/0hK2f+qV74S66SwlRksbAIwxhhjBpADwgRQyixNEotKNSzNsmyrEstoZByGZVqWx6Jrcm5uADjxxBOr40cffbQ6VomLnymSSFesWFEdq1TN0iZLr9q+KD86S7h8Pvf5viq5zHHsKhkDvTnhuU1RzYgSzgsQncf34jmj+SZ43FmezJlvSjjfPbdB5zJL/Dp3gLrsr3HcfA+W+ll21Lhs/RyoS5E8t3SedVlDmteB+4DvF5loIkm8JFW/QyX26Ln5vrn8Cl3Q+/Jz8nW73oPXarmHzN22Db9c/L7MGLhp1y78qMiFchfN+6j0rraB1wn3eS5HSdQ+Pj/3nE21WfiauldxP/NnauKKTFKjLdUb5SjR3/Fz857Cc07nddv/93bv3t35GawAGGOMMQOIfQCMMeZlxMoJE3CNZGOsOYb2KfOnOfA5IEwAJSwHRc1Wb8lUKV09r6kLuA3qNczSLEutLMVoukq9praV08Xqd1niUm9doG4yUJmNnztX4riprCf3AXtVa6pdvkdTH+tz8j1YOlQP96Zrp0o0A/W+jOZKynNdZbZUmdyoHzklNVA3FbEpQ+XVOXPmVMfRfLr//vur41yJVIafo435ZjRROG2uqddl+TQaH20zS6o8Jvz8ep1oHaTGUM/ltc/Hkde2mh35Z35mnaNdzGr8nGoq42fifSEyo6jZMVUOdzSe9Tm47VGKbk41rWXGF1M6ZI5+0bZFbU2ZJVTGT/2fFEXS5EitJ+3XyEwV3Xfnzp2dIgYAmwCMMcaYgcQvAMYYY8wAckCZAEbz3dxjssQTyV05GZllo5TM1oapU6dWxyzjqATGMjF79Zek5Dol1zcqqwF1qZ8rlOWqwnF/NEmZRx11VLINK4tKZUDsETvSKcySKUu4JSzPs2SrEnvK87bNWPB8mjZtWvKaOdOO/k6/m5qLPLeaIj+AdJUy7f+mpEocHZGrkpczU0X0y0TRNiqI5zev2Tb35ray5K3f5XUTybvcBjYN6VilEhpF5iGdC6k1rqaoqH28R/Fc132UI324D6I5N52KFs2dO7f2GZsh161bVx2rubRpbrU1p3DftKkGyP3Hz8Z9rnMgmoN8r/Lz3bt3d573VgCMMcaYAcQvAMYYY8wA4hcAY4wxZgAZ8z4AQ0NDlR2F7YVREQ+1F6XszpqVi30AokxzTz31VHWsdi/uvlRXRr9Xuw7bwNh2rDY6tjmxzbiEM3tpWEqXsDwlVWCHf69hgE1ZqSK7c0nKtyIKgdNxT9nldNzZxh/5U6TCpdqG2kThO/rMbJvlsdaiNaniNiXc9+qLwd/lY573ka8Nh6MC9b7nNqh9OQrVZHiO6ndHm42thNvHz6ZjF40RPzePCWfoBOrrNJUds6TtetN9LRcepvdNha3qd0ez5XP7dG+K2sd7Z1tmFgWKgHr4a8m8efOS312yZEl1zL5D+n9BU+ZPXhvq88M/83VHU6CO56H6J7T16xpJG6wAGGOMMQOIXwCMMcaYAWTMmwBGEwaYKkSROy/qDg6XUnmGf+YMVSwxLV++vOeaKutw+/i7moWKwwUjaYhD9CJzRklOpm2SMDmbHZ+rJgeWuKK2sByrz8kFd5pCdlQSb2OWGQ25gjJsjmgTxrZw4cLqmMc9FwYYjR33vX63jaw+adKknt+dU9SUL9FQzRINsVKpHKj3Cz+nFlbiOc1zK5qTOg5tQm813DMKM+N5yXuDXn80c6utJN+lUFnumqMxAXDYJpum9Do6lkBsWgN6TXm8x7IJIDJz5swyPBdzxaIicwmb0UYi7UfZKnXOtDElaruj54jCTh0GaIwxxphW+AXAGGOMGUD8AmCMMcYMIH4BMMYYYwaQA8oJsMkhMJenn1FnDXY00ZhPoO4EctZZZ9U+27BhQ3W8cePG6pid3qLc+uowx84y7PjDTn1KFMuay0nO/cNOd7myqtG1eBzYqUpj3PmZorZyTLE6zLHDEzuoRW1T56Om2OkS7o8ovwC3jx3vUnnVc9eP2gakHbu03ex8FTkb8XU1tp3P57hs/g47l5acdNJJtZ/5u7mc8JHj1vr166vjH//4x9Wx5o7gecJ5GqL5o+PA861rLY42qCMrjwk7L0YOxzpmfH6urf2K3+e1ydeM7t02F0MbB+1Um9XplOcs50SJHE95HHQfZec+dizU8x5++OGe6/I+wmtXn7Mp//9I4HuoQ3T0/wevh/L/ne3bt3cqHw1YATDGGGMGEr8AGGOMMQNIr5Y4xhgeHq4kEZb8ohSeGtvJsgpLSSpLsYwfSaEcl7p69eraZywBsfzCMn6UDlPlS76OyqIpmuQ7lZK4fXx/lfyiVLMsIbLsz32u3+OUnZFszu1RiZQlOzaDRON+5pln1n5OmWVUyuOfo3hlNgex7KhScKoMazSObeVV7cumnBZsQsmlZObr8nNEcdGzZs2q/Xz++edXx2vWrAmvD9Tl/hKWV3lealu5/5588snqOJJadTz3tTVT1xuX5m6K12+bzlXHvckEkEpBnMsBwn0cpVRXUx6fz8dd5eYo10QJp4fm9aS5KABgwYIF1bGa/1asWFEd8z6g+08uDbmeP5pcNEqqhDSjv+c9rKRfJi4rAMYYY8wA4hcAY4wxZgDxC4AxxhgzgIz5MMBx48ZVdrFcbmeg13bCdp6UDRuo2/KikAsOR9JwEg7HYPsd27G4RGVJFM4WwXm4gbqPAtvNStiWnbsH94H6PbDtrIRtTqkQQrWV5UINgbrdWse2X+E1PCZq7+T26bgC3cpwRvdrY+/nPmMbKc85oD6uUVtzz8Kf8XzlNXHcccf1XHPu3LnJ6/B4st0ViG2W3KZcv6Y+i2y2alPmZ2P/jZTfAxDPS/aHyLW1S4ie3jfyZQF6w5B5DY+mzHCKfXHN1PVTYcj6M4+1rgOg3pe6xvgePHY6J5vKFLftg65hmrnwwhKdK9H/e7x38hxxLQBjjDHGNOIXAGOMMWYAGfMmgIMOOiiUSqLfqVSSClNROfEVr3hFdRyFV7CUpJn5uPtYikmFB6ZgSZ7NEBwKBdSln6gPZsyYUR2zaQOoP0dXqboNKtc1ZUfj+2qmNx6jSPIeCWr64UxuUeleDlHLlfHk0J6m7IIabshzhiVtbhtQn3fRks2FffH5LG9z/0emr3e+8521n0877bTqmJ9Z++62227ruRaXbWUTk0rs/DObbKJwNb0vPyePER+rWaxpbebCxfi7fJ7K29F92q7FlKkgui7PAZ2jPJdToYMlGpLbNtwvem5ec3xfHTved/k7kfzNe4Wu6VS4rq6ZyLTDZgKeJxqa2TYTaPTd1D7Srz3YJgBjjDHGNOIXAGOMMWYAOaBMAFzcIfJwjwr58HVKVG7u4nGuUmTK056ln0jGUw/+VGEcldVmz55dHUeerJEHdhOjyajGkpY+J1+3yetWi36wJM3yd+QVzPMCqPcBj20U3TASchkF+yXldY2KyGUq5O+yVH388cdXx1H2R5Vp+bss2eq648JJ0fm8ZrS/2GzCz3HMMcf0XPPUU0+t/Tx//vzwu5y9UyMW7rnnnp7rslyei3LhTIlsvomiczRjXRcZuaQpCorpVxQNUDcJ8H6ke1NkRot+B+QjhnjtR9/PmQ65rbyPqSknynzJY8Qmgqj4VvRZm8gubi+b+Xg+qMmlS9Y/mwCMMcYY04hfAIwxxpgBxC8AxhhjzAAy5n0Axo8fX9lvcrZDIG/LZttLzlYThf2wXVJtUmw7TWXLi0JO1M7TdhjYbhTZw1NhiUA9LJBtV2rjiuxjDPsrLFq0qDpW2y/b7jVcB8hnh+PxbeqbXAW1nC20SxYv9lHQkDm+DvdxFL6o9jy2VfPc0zFIVZosyfketKlmprZUAJg+fXrtZw4x5XBGrZCp9m6g3maewzl7J6879fMAev1G+Hyeezl7bjTX+dnYdyXXx/x80fj0q3pbv4nGXUNQuf9SYaRAvHemMl3q2KXCWKPx4THRudY2ZDEaI94D+FjXe+r/Aw27Btr7BPH+qG2L5g6PUdl3zzzzTOeQaSsAxhhjzADiFwBjjDFmAPELgDHGGDOA+AXAGGOMGUDGvBPguHHjqgQYqVzffG6KnDNGWwdBoNd5hRPzrFmzpjrmZCKRE5Y633D72CEkciwpiRJU9MPZKEo40iaxiDrysKNK1Af8zOpAxA6FIynLG6Ft4P5r6zwE9PZP5EgFxElM9LupvOw6X3OJrBTtL74nryF25ozGV9vPbeDx0u82zZXIIbSEn5vnE9chSP3ujW98Y9jW++67rzp+8MEHa99Zvnx5z3XZCXD9+vXVca72AB+3qVOSqjGga4j7I5foTK+peyG3j/eIaF/UfYXP6ZroituRKp0OpPfdaC7xc2q/8rN1WdNA/bnZ0U/3fD6PnyNKwpZbi9y+rnscX6dcT9u2bWtdZr7ECoAxxhgzgPgFwBhjjBlAxrwJYHh4uIqp53zJUbNVVkrJVQsWLKj9zDJ7lMecJT2V91jW4th/zosf5aBvK0+pJMg50aO2sukhRy4GPorJPeGEE6pj7i8uV6zmh9HE8vN3VYJTdJxT99I6DhxDHJlOUuVeVcJm+a7JBNM2R3sup0WXGGYlZSaLzD5dJdSSKD8FrxOW0rW/uH84t39kAlBJnqV7bgM/G5vpAGDVqlU912WpPSfNpuoWRCYAjVdPXVfXHo9BNK6cH2Hq1KnVsebpX7duXXXM67er9Mzyt66DqH0sSfOxzjf+OVeKF0jnzgDSsrquu2iM+F7cHs2LkGprtF70vimTH3831zcl3Nfl5zt27OhsArYCYIwxxgwgfgEwxhhjBpAxbwIYGhqqJA6WvyNvR5WzWGLhdI7HHXdc7TyWxDStKZA3PbAkxhEBfM0oneVI5VWWg0ZT8nPatGnVsfZlNCUicwNQl81UimeJcPLkyT3f5ZSeOnapFMuRHKZSJMuCLAurPMaydCQJcpv4HiqvptoXtVXLwPI53G6VjJtKDvN3u3oCp8iZIbrOQ+7rVMlWoD5PTj755Or4/PPP77kmlzMGgEcffbQ6fuihh6pjfg6dZytXruy5LsvlvE51TFKpxiMTWs7rnc12uUiaiFQKYu1XNlfwfFWTiLYNSEd/5Ex+o4Hv17Teta08DlOmTEneo81zp9rA92fzpO4LQK+ZKpX+fDRRAOVY79692+WAjTHGGNNMbyB5gsWLFwMArrjiiupN+Bvf+AYA4Oqrr8b1118P4MW/dq+66qrqbfGyyy4DsPft9uyzzwYAXHrppf1ovzHGGGNGgBUAY4wxZgAZkQ/AJZdcAuBFBeDiiy/GNddcAwC47rrrAACPPPJIZXcqy0C++93vxsUXXwwA1flNHHzwwZVthW2Hkb1GbZbz5s2rjtn2opmuONtX13KKqfuzPSiy92u3p2zebe9Xws+m1+F7sO1KfRTahhIqar9kO5WG4AF1e7jek5+DQ50iOxv7EgB1exo/p9oEOdyL50BJKgNaP91mUhnhcuFDTWgfsV2d1w3fI8pamPMl4LmkYX/R/OU5lvN/SYXSsg27ROcUr3f2+eH2qC/LXXfd1XNd9t/htmoGRu5Xnmfq5xHdl31T2sJhkSUc+sdj+Pjjj9fO0zVSEs0/nd8897gP9Lxo32jKOhiR8ospyWV85fnD39X53dQWXhvqY8Trgq/b5JsDpPeOruF7vB7Ke2zZsqWxlLvS2gSQgwds7ty5AIAbbrihauQFF1xQfV7+J7Fjx45wcK+99trav/1yLDHGGGPMi9gEYIwxxgwgfVEA+K/0MrPW7NmzKwWgDK07/fTTK3k2JX1eeOGFtX//6q/+qpKDOcwukkxU+mT57rWvfW11zCFwAHDzzTdXxxwCVMKyisrcLOWx+aCrFMNyJ6NyIsvhkazH941MBCW5IkNNxUy4n/l+uWeOJGbuS5Yygfqc4kyK0bx5/etfX/v5bW97W3XMc6BUlUp4DkUhQ4899ljP74BeExJfh+XwNrJ6LgMYw33eFDKkn3ORkrYZA4F8dkY+1nkYmWnahr1y2/n+kWlO59uSJUuqY5Zw2VSgcm4Uwphqq44dy+w8R3MSdQTPaZX5ORRS1whQbz+HNGrhIP4uz9/IXKHjmTIb6TqI9o0oJBLoXcc8ljx/eM8vedWrXlUdqxmI1yJnedT9Lsouys/Ja1/Ng/xMr3zlK6vjyEy1bNmy2s8p81JX2NwyGpNk6xeATZs2AQA+8YlPVHazP/zDPwSw1wfgIx/5CIAXJ9SVV15ZDfLll18OAPje975XMwcYY4wx5qXBJgBjjDFmAGmtAJQS6ec///nw8/e///3J7375y1/u1ipjjDHG7FOsABhjjDEDyJivBcDlgNn5gsvTlnDsLwCsXbu2OmbnmhUrVtTOY8e6yCnokUceqY6jHNJNRE5B6rzCTjC5mFB2vImcTtjJiZ2/gPa1AyInLnb64vuyE6SGbHYJ4dRaAewUOWfOnOo4yo2u3+V6DuzUuXDhwtp5733ve6vjyGHvO9/5TnX84IMPVsda3pljo9m5KXLW6+ocGhE5W/EyzuXwT+VZj+acOiWmShK3mVf8XZ5fug7YMYod1HRtR+1jBytuU5mHBOjtmyh2fSTOWTzuUTlkdSBM1ZnQ+c3rPXJc4z0xV8KW9wJeH1rfAOgek56D25+bbzwuM2bMqI7VYRsAzjjjjOpY67rw3n7PPfdUx+rsGDlds1Nn6fMWfTflDDsaeP60mX88vuV8e+aZZzrnsbECYIwxxgwgfgEwxhhjBpAxbwJIlaJkmajklFNOqf3MUi3LclpGlHnggQd6fsfyGUtDQF2KYXmXJchIIlUpmKXQtrJSJCezHN22LKzKopEJgGH5N4ojjohi3Fm+1HuydMjnRfKYysNs7mFTkcZY33jjjdUxm4tKeKx5Duh4cj/3Uz7tFzy+XaR7TX3LY8TPGZlPlFSOAzUBsHmJJdmoX3Olufm6LPOPpoS2kirFG7VV4965tDnPb/0u93nUdh4jNnXodZYvX14da46AfhGZprh9PAdy+wabOqL0x7z3cz8CdXMg76Mqjd93330913344YfD9uh+zM/J+1G0b6s5iPcqNkOwKVVL0jeZkMt18Nxzz7Vai7VrdzrbGGOMMS8L/AJgjDHGDCB9SQW8LznqqKOqNJYsD6o8CQCvfvWraz+zd//ixYurY07fCNQrdWmEAFCXgtVrOJXKlWWiNp7fLImx5JOrGhh5yLLU1dYEoPfoh6c6kK8YB6Sr1AFpM8T06dN7fqfSG6ffvOOOO5LXjNKMpu7Fcp2mBs2lVe4Cz5muljmWv3PRGCkJPJJv1dzC5i5ef5oSNop+YEma14lWxePzWC6NqufpnOHvRt7tQD69cQn3BUvMasZguZX7NUpXrWuK5xCbqTRShccgum4q1a72F9+fJfZo7rb1JNf1FEUl8brnNukc4f7j85588smea7IJ4MQTT6x9duqpp4bX/OlPf1o7LzJJ8Zrj9ulz8RziORiZJ7UqI/dtynzQZu3z/xflfB1JRIIVAGOMMWYA8QuAMcYYM4D4BcAYY4wZQMZ8GOCECRMqOxeXtIzsLWqLvOSSS6pjttVoyNedd95ZHUchMrnynpptry1alpRtTv3KLqV+EmyPS9m7gNjeyrCNlO+hz8S+FfoZUA9lUVsm2+i4P6KSqOoLwW1in45UCeroGkC9/VxqVbNBpnw/2oQE8nd5/up32Z7ZVG5W7Ztc6pj7gOdu1Dd6HS4Tm8pAp20t4TFs65vC4xj5hOSy66XIlVwu4Wfjeauha6lQtmh8dH5zf/Cz6TrhPuCMmCXsl3HvvfdWxzx3gfocyM2zCPZ7Ypu87rfRGHFfsB9Cbg7wM0c+DuzbpWW82b+B93J9zqiUOvuN8B6o48k/cx9EvlNt/al4/WkWx2jv5DaUfhw7duzoHIZsBcAYY4wZQPwCYIwxxgwgY94EwJIqS8ZRURg1C7z1rW+tjlni5dAwoC6Nc/GYEi4EoxILS078GYd7RBJOThriZ+5qDmibCZDvoVJeBD8bn8/ThzORaVu0gA5QlwxzIXpNGcR0CkeFPiJYJo1kW5YEebw0TGo04Xv9Iidtp8aXJfPIBKBSfmou6vW7yJDabl4r3L6oX1MhcED74loRPJ6pLIpKk2lB25AK+9K+5HGJJPZU9j81AaRMDlHf5PYcbo9m4IwKK2nm1KgNQN2017SH8X6tcyC1TnXfiNoa/S66RyqsNhof/R3PJ/5uan/V75RwCGr5/97u3bs77z9WAIwxxpgBxC8AxhhjzAByQJkAmorU5DJTscSkHt8s+99///3Z66pUytINS0NN8qVml0rVylb5h78XZTtjaajt0Kp8GWXtY/NKU5RARCRDc/vUpMNt4L6MTCfsFQzUZVGWATX6I1eMCKiPA8uD2lb+rGsxDobHIVe0JpIEc2PNfc/zl78zmuyPOrZN5rlcIZhUWyO5X01+PNbcl/ycXU1qOWm/y7W0T1g+5/apeYkl8Kjf2GTCGfJyES+8fqM9RM0CPDe4rbpmouysqeJTKu03FU9juC9zRcS4v9qYqXg8c2Y9bh/3f9TnaoqJotcUnXPRHOR7ldfcuXNn52JXVgCMMcaYAcQvAMYYY8wA4hcAY4wxZgDxC4AxxhgzgBxQToBdU1im0mhqPC87pESpfaPSiyVcMpbbxMdR2km9TtthGE3MOT/3aNINtx2HpvPYoVHTuPJzzp8/vzpWhz+gN+6fywEvX768Os7lRYgcePh3Oce1FF2d9Zi28fElOecidpTiMeHvtEnP2698B3wdfU5uH38WPbM6PLVpk679yHGNr9vGaasNOaffVOph/V5UbpedzPhZNCcHO/LxceRcqWuVU1/nUgFHzp88r3g96drQ9pZEsfn8nDo+7NTIfayOzdH+x86RufUeOeCl0Odk509uE4+JlkCO1mZq/3YeAGOMMcY04hcAY4wxZgDxC4AxxhgzgBxQPgBs04nycnOtAKBuD+FjtamwPaVfNj+mjS24X/b53HXYFsx90NV2OpL2RfZBrqOgn5clLoG6nbNNogtu6zHHHFMdqx25ycacSurTdslEyY8mT55c+5ntiewrMpqEQjrf2tSWiGzhWmqV6zNwqVXN996UVIjvpYlveP1xuyMfDV2rqXHh+aDn7Ivtj+d1ifqu8H15fqtNft68edUx+xuVPPbYY9Ux2461b7j/2E4e1T4ZiT8SECesSZXLzSW74X082ufZL6BNCWigd/7si30+QtvP+1yqjHib/uf9u/TZcCIgY4wxxrTCLwDGGGPMAHJAmQCYKHxFH6WtPNQkb49E/ma5vW07IlQqa5J4ciEq/BwsRanc3BRimZKr1ATDfRCF1XD7NMSJP2PZPJquWpuAJUK+ruYN5+eOZGvuax4HnQM8F7l90bjnShezrDeaOaOyI/+cGtsm+RZIm8rUfBBdi8/hPtBzU/3Xpi9Tc5HDrdh0AcSmljamBIX7Jnp+Xbe8TlM56IH63D/99NN7rsvXWbFiRXWsoWR8HpsconWZC6/kua5zqWvZ5ZHC6zhnBuL5q2u2q1Tehmh+qDmI10HKJKttjeYj73HlGO7Zs8dhgMYYY4xpxi8AxhhjzAAy5k0AQ0NDlZTDUl4k4Whpy5FIUpHndtvrpLw6RyONqaw0mggBJud12lS6l/ueJcFcWyMJl2ValfLaZKYrUdmUZba2ER5qvtDf8diq53qUrSyFysMp85I+E5tsoufg3+naYDMDe/bPnTu3Oo6eYfHixcnrsMTc5vnbljruF9yvLH+PxrSisHmJx6truWzO/sdjAtRL/Ebw8/Azq0mLS2FHnv9Mm9K5QD6LY0lqv8qtRX6OyNTL921rvtRsoVFWRV7v3K+aHTa1F7bZm1NlmvmZc2aDkg0bNlTHXSO6avftdLYxxhhjXhb4BcAYY4wZQPwCYIwxxgwgB5QPANs6omxbaoNhOxP7D7D9pG0bStra87uGDqZspGoLTlVzi1B7E7epqy2UbXHTpk2rjtneqaFHHMIU9RuHweg0ZDt717Z2qdaVg/u+behRv3w0ckRhZvw79Z9I9TPbnqNw28imG91PK9hFdlueG2xT1TmaCqlUv4su5MLBovHi/srZo1MhypGPg4bbcZtSmSsBYObMmcnP9F6ckZFD/YB6lkles9H6yGXp47mVyzhZkppj2h+pdaNzC6jPGe1rvk5u3KP9qO0+w/44Tft8LqPnaPYK7peyDdu2beu831kBMMYYYwYQvwAYY4wxA8iYNwGMHz++knwmTZpU/T4qjDFr1qzazzfffHN1zNKISpss+XERmpKjjz66OtZQN5bTUhISmx9KcuFgLJfq8LDpQ2U+PV8luZQcp2FcmjEPqMuPLEtyX2q4Cpta1qxZ03PNXParLqFiuSyCuXDCpqmfCpXUfk1ltoskdG1PLisew7JjJIdz/40kdDSS7adOnVr7mecPh5Jpu6N1kApX2x9FWXLmmy4ybNvwuIhU+Je2IbfedTyA+rhx6J/uY7xPNRVrytG1aM1IiORthvsrJ7FzW7XYWDQePEfbXjd1nLpPKqMo96U+c7SeeO6V93UmQGOMMca0wi8AxhhjzADiFwBjjDFmAPELgDHGGDOAjHknwAkTJlQ5mtl5JXLeUUemY489NrymOqSxY1ZTPmuObQfSzmrcrVqCdDTkytLqfRV20uN2c354IM6xwL9bsGBBdfzwww9Xxw8++GDtO1GpUYadXXKlXZnI0UbPTeVUUOeaXJw7UHcYa7tMmnLe5xwI9xXcJnaG4vZFzpK6fnj+5GoPRLCjKTs16fOzwy07OkWOj9rmkZTt7hc8rlFdCd2buP9ytQO4NkDk+MzP+fjjj1fH6sTGfcX7URtHRh53dmrT/o/WJs+Nto69fB3N4Q/U26zjnHIs1rblSjsD9b0hV0eA2xI5ZefyV/A9IsfrkqY9r+zXHTt2dK47YwXAGGOMGUD8AmCMMcYMIGPeBHDYYYdV8f+51LFAPU+AwulHOS0mMLpYZJbPX/3qV1fHy5cvr45Xr17d87228cgaY90ko7Fcp/3BJhSWnzR/wqmnntpzXS61zNc5/vjjq+Of/exnte+wSSBqdy6tMY8vy6eRbK95DLjPWOrrUmIYqEtvHJuscbk8dlE8PZOLLx6JSaQNvG44JwX/Pirpq/fk5+TvqkQZyZDc913L5QLN8eA5RlOKmCVvXYv8nHwctVXj0FPzSfuuqdRrW8k3JeNHZXG1/Wxa4P7TvB9RbD3vQbxv6B7cL5MN9zPfW68fyfU8j3ms9TnZtNk1TXmbPAptzBVRiWvnATDGGGNMK/JeUMYUzHr+ebxu/XoAwKFbt+LZ4i/x5YVT5IYg26Exxpixy5g3AUyePLmqPscyfiQZabWsc889tzp+7LHHwmMAWLlyZXUcSbQsk7EUDtTlc25TU7pN9Q5NpSpWia/J05m/q3L57Nmzq2OWx/SZDjnkEEwvpMdPFn31hueew/bi3pvHj8ekol0HF224+bDD8N8LL+V1hTzF/RZJ4+uLFwqgNzIj5T0cmQC0Yhj3bU7y5e/lUrUCeYmS5fN9tZyiyAyGZUptK0uWTZEZOVia5HmoMnIki/I45ORVvkeXKA0g/Ww5mTzqV54XPLZ6P5ab+R6RSVHNcfyc7JUfmWJytEktq/BcV9ME0LtmeDxzZrSoch+3j/fWrqYYph/RHpGszn2W6z82o/Ecjeaf/n/Cfc/HHGmga0LNJXqvtuMeYROAMcYYM4DYBGB6mLF9O766bFntd//j1FNx44wZAIBndu7EIcVfPGc98ggA4PLHH8f/KZSUDxSxy91dvYwxxuwvrAAYY4wxA8iY9wE46qijqoxkTTZltaufc8451TF/93vf+17tPPYB0JA4oG4jVzsX2264TO6cOXOq4xtvvLHnmuzPANRtSRwm1aY05EjgbH7vete7ap/9zr/8C44pyr3+/e/+LgDgFrLR33fffdVx2a9Tt27FlXfcAQBYWfzuv515ZnWehggC9fAihcPM2L46GtuhZttqygaWC9nbF0QZ5Eq4LZGtleeP2pFTfdY1qyTfl+2gGrYU9RvPW167et/RZM1MjWdb227ESMrfNtmX9bps89U5wHM2yhbHexPfQ32QeA7wPaJn0u/yGHUNmeY5w8dqLx9NiWKG5zT3sc6zaL6zTZ7XUy4kl48jXxP1Y+G5weuAj3UNdNmHus5vmwBMxZQnnwQAzF28GP/6vvcBAJ4rU7OKk56y8ZBD8LXipeK3i/j/Wc8/j7WBk5ExxpiXHpsAjDHGmAFkzJsAjjjiiKpACBfDmD9/fs+5TxZ/wZakpHuVSLnAD8vbJRw+x9I5ADzwwAPV8aZNm6rjpmIfampgSWrVqlXh79vAspdKs8cdd1x1zBJuKX39uyIs7z889hje+drXAgC2FpIaZ/xjc8q8efOq412FdPWfr7gCAPDlefPwd8Xn3DclLG3p2KXMA1FhDO0jHmseBz2PnyMKb+qXLMloOBgX3OE2aH80mUFYRtYlzbIjS6/cl1rkCuiVe7k/cqFYkYmCTQAsteqzpMIdI1ld13GU3Q2ohwcfKfkqtJ+BuikxF0LYtphL1Na2NIVFcv/xOHTNINq2DblslV32Kg275SJQfF0NiQPq60TXaKp9bbLr8Xzn6+o64HHg54ieX/cVnif8zHwPlfybigGV5+/evbvz/xdWAIwxxpgBxD4ApuKI4q+dzcPD1V/+XdhRvN2+UPwFeHjH0pTGGGP2H2P+BWDKlClVcRqWN6KsSyp7sVQTSUklLI9FBYVYglGZkaU9vg6bDSLvbjU1sETK8pS2h+XVdYWnfqqtKtGxaYEzgJWmlU3Ff9hH7tyJSUVfli8C/Nwc7XDTTTdVx08W1/8vRZ88MXlyZYaJio5wJIRGN7BpgZ85sljlvPkfKfIUAL1yrmZAVFJFZFSKZSmP5xn/PvocqJtG+Lpq4uK2RrI0rwedoymzEM+t6Jq6nnjO8Gd6v2g8ePxZYleJNJrTKbR9LK9yG1hSVXNcZPqJJNeILsWA9HcsHeeKMvG8izzwua1NxdIi2pgGeM7yWtR+itYTPzcfqwmA5wSfF5lOcuYUbhPfQ/fgaNw1iqxE51kkv6fIzVE2M/D61XHWayjl+HQtdgbYBGCMMcYMJK0VgMWLFwMArrjiiupN7xvf+AYA4Ld+67eqt48yhvELX/hC9SZ32WWXAdgb63j22WcDAC699NJ+tN/0kR8Uf+F9/Ikn8OYNGwAA36G/9pt4R/GX4ITiDfnGwLHMGGPM2MAKgDHGGDOAtFYAFi1aBAD44he/iEsuuaT22f/8n/+zOv7c5z4HALj77ruxYsUKAMBFF10EAHj3u9+Niy++GIAVgLHI8sKWdPvkyfh3y5fvPS7s2M9lstQBwJQXXsBHCtXglsLeuzoIBzPGGDM26JsTYOm8c0eRDvZjH/sYbr75ZgDABRdcUJ1XpjzcsWNHYwlWYK+DUenIxU5Sy4v/oBh1tPm1X/u16phLAHPsPlCPOY/axGl99R6cwpEdUDi+WMsUA8ArX/nK2s/s/MTOHJoWsslJqm0cKDu8LF26tPbZv588Gd8tnJo+99OfAgC+OHs2/qV4GXjooIOqYkBvevRRAMC/W7kSuwrp/78Uz7tkyZLqmlFJS0b7lZ1rmtKPqjNSygFKz2PnpugeKQcpdZjj+cP3iJyV1BmJn5sdIfUeTSU/+Toak55KH50qKVqiMfnsBMgOX+qkFDm98u8454DG4fM48DNFORn0uVLjxc6OvJaB2PGL28R9pKVz2SGO52vkBKi5EXh8uf/UkYufqck5sV9pwhVuK99DxySal6kxGU1beY/WucfzmPuyjYMcXyvlAAzUn5PPi/Jf6Lri+cbjmcs3EfUh37dcT01OzRE2ARhjjDEDSF8UgFWrVuH3f//3AQB/8Rd/AWDvG0oZCrd69WoAwOmnn169+aX++r/22mtr/3YtPmFGz9qhIbyjyJj2ueKN9fdWrcJ/KsbxuYcewhHFuBxcvOHeNnky/lPxl9a6FsqOMcaYlxYrAMYYY8wA0roWQJmw5BOf+AR+8IMfAAA+9KEPAQC+9rWv4cyi9GtZHvc3fuM3sHDhQgDA5ZdfDmCvDe30008H0N4J8KCDDqpsJWzbjOyM5f1K2CbDCUDU7rihcF4DmvNtq32Pk72UCYsAYH2RVx+I89qrzYfblMrvDdR9DiK7KF83N7S5UrBcc6FkIYC3F3bOg55+GqVF/1vFv48cdFDnUpRtyZXmBHrbn0o+ksvpnbPBNcHzkvtuypQpjd/l8eTvaq0I9gW5//77e65TOtwC+UQibHvl8yI7Yy5JDLe7TU74tkoe92XXMrSc55/t/vz8umaiJCvso8BJr3TtP1hUvQTqSa2iPSSXpCyX277telbUHs3353tHCdXUXs6+Mtw32p6o5gnPN76vzpGRrj/1i+B7dFWPU4mKtC9TZZcjPwOdCyk/Dl5rbZIz8XiWc33Lli2d65e0NgGUm9nnP//5ns8+8YlPZL/75S9/uVOjzNhj+fAwPl8silWU+a1t1jRjjDFjC5sAjDHGmAHkgCgHXIYjscQU5ZbXkJ5UDn+WL4G6OSEKC+LraH53lq5YKuPvRHUInnjiidrPLPHOnTu3OtYQQm5fZFpg+UjD0FIhgvr7SLqeNm1adcwhlXwP7Vd+7kjiY3kwkiJHSq5UbRdYBuRjldn4OV/1qldVx20kSJb6OcRTv8vSazRH+bsaDpQKVeLzon7S0rk8RnysDr3RtXhe5uTefo0dr2kug61ybtSXHLKaqi8ApGXbKBxLx3M05XlT5Er18s98XqTg5dqWqzUSOXZzf+dMHQzL5hp6qW3QfaNtPvzI9NP2v8LUvNT9D+jd+3Pl2kt0/jStg3I8d+/e3dkMawXAGGOMGUD8AmCMMcYMIGPeBDBu3LhK4mDP3khuiiTxkrZyYiTLsCR17LHHJq/L0iabKMo0ykyZG6GEPYpz7ekyXCpJpWS3rhJuKktW2/KsJblMXTmpUcn1UcosA4w8G5k+S2puRTIjm3eAusmApWqOIgHqZpfofhwFMFmKMLH5i4+bSpm2nWttzuNx4HmpfckmJb5uFJmi/cB9lLq3mtS07DIATJ06tTpmE4GaLnj+8N7DJZ5LdC7wz2z+y0nj0RoaiZmkaV2qCYDNF7mxjvbOlOmhbbujiAqeP/o5jwkfa9uaTDA5qT6VCTDqy8iEUcJSf649mtkTeDHaDnixP55++ukwEiOHFQBjjDFmAPELgDHGGDOA+AXAGGOMGUDGvA9AyhYThaqp7S1lC9aQHD7vFa94Rc91OSxIq9qxzY7bx3aqKDxEbTVs02G7kWYt5LCXyDbUNnsa309tXJF/BduL+xmy1wa2s0UhlWrLToU57YvQK4XvF4WqcmY5oG7zZluwhptyZb6o6hjPS/WF0ZDTiMh+qXZrXifcl7qFRLZgvn6uwh3fk585mstaKbNf8Po7/vjjq2NeM3oet3vt2rU919TQLvbF4DmQs41H2U+5/3g/0DHhNcL+NtH9clUzuQ16j2iM+L65Z2NbfqpyZHQd3Y+jCpxA7x4c7XF8Dj+Ljt3+2EdGisMAjTHGGNOIXwCMMcaYAeSAMgE0hZGodMU/8/kqbbKkE8m23EUqf7PsxlIZS0yRuUJDivi6LNnOmDGjdl5TH7C0qBJpKlMYS61Ar/wM1KU1lvX4WPs1Z3bRNqhEx2PXJGHnxnM0pELXcuFgTffWsCCW8znUTZclS53RPXLhPzxHU5kio2vm6jzsq20jFf7ZFJ6rP7PMzWtRZfymfYRDj9X0wv3XlNVSf8f37dd8TRXBAupztinENle4iI9Vno8yPPK85evmTBRMU2ihwmPE4677T1OWTn6WVOl6oD6OUciizjcOQ+XrstlOQ4CbKPtoz549NgEYY4wxphm/ABhjjDEDiF8AjDHGmAHELwDGGGPMADLmnQDHjRtXOY/kyoiW5zKpuFN16mDnlKicJDt35HJ6pxyPIgcXdSjicrvsOMJlXgFg48aNPddi2DFHnYv451x8bpS/mp1XuJ85Vzo7IOp1R1PalR2xojnQNi9Bbn40ORul6h90uR/QO/f4Z45/5mcG6o6a2s9APfZc5xvPCX5OPi/KQZ/bGvpVtjcHr4NoXepc4DWVmus6zpHTbyqXhpZHTpURT8WiM+xoy46+Oj84D0hU6yA1F7XORWquRzkldI/j9ZWb+9o/QP15uE1tc9ZH9TRG4jSp+UMixz7e93g9aFvZIZgdbKPaIrl6G6mS8fp80Z6XqgthJ0BjjDHGNOIXAGOMMWYAGfMmgFQschtpqG1MMUuNUSwn/07lvZRcyDKRxtkDvRIOt49jQnMla5ukV5W5uH25WOAodTH3d9t0m03fYdkrknhHCj8btyEnvzeVxmUZLrdkcrHOQHu5XOcHl6iN5EvOlaDPkmov36PNemqKeS5pMtXxvXQt8j1YXo2uqX3J65ifmY9V8o7WF68Tlur1u2w+4HSxUd4KlZH5eXgdaHpv/jlaQzxGI1lDbeLsuV/5mbWtkazfJg11P0mZpnS+RmnUU9/V/uD1x/0Xmeb0vjz3+TMeR53X0XrncSjb/cwzz7QyPzFWAIwxxpgBxC8AxhhjzADiFwBjjDFmAEkb8sYIv/ALv1DZOObOnfsSt2ZssnLlSvdNgpUrVwLw3Mnh+ZPG8yeN+6aZ/dlHy5cv7/ydMe8ECAAf+9jHAABXXnnlS9ySscnHPvYx900Cz51mPH/SeP6kcd80M9b7yCYAY4wxZgAZ8yYAALjwwgtf6iaMadw/adw3zbiP0rhv0rhvmhnrfXRAmACMMcYY019sAjDGGGMGEL8AGGOMMQOIXwCMMcaYAWTMOgGWOY0vu+yyKsf82WefDQC49NJLX7J2vVRcd911AICvf/3rVa730sFkaGgI119/PYAXy1heddVVYQ2ClzNlPu13vetdeMc73gEAOOWUUwAAX/rSl6r863/8x38MADj++OP3fyNfIsr84n/wB38AYG/e8tNOOw3A3lzvgzx/Vq1aBeDFkK1jjjkGs2fPBgAsWrQIAHD99dfX+gaIa3y8HFi8eDEA4IorrgCwt87BN77xDQDA1VdfDSDuj+HhYVx22WUAUNuzX477da6Pfuu3fgvA3toMzzzzDADgC1/4AoC9efvHUh+NWSfAr371qwD21kV/97vfDQC4+OKLAQDXXHPNS9ausUTZH8CLfVK+KDzyyCP46Ec/+pK066Xis5/9LIC9hTLK/+x/+MMfAti7cZWJMsrF+JnPfOYlaOVLw7e+9a3av8cccwze9KY3AQC++MUvDvT8+c53vgMAeOqppwAAH/zgB3HRRRcBeLHYyzXXXFPrGwAD0z+XXHJJ9Z8b78HaH4cffjgmTZoEALU9exD2a+4j5nOf+xwA4KyzzgIArFixYkz1kU0AxhhjzAAyZk0Aa9asAQBccMEF1e9KyWTHjh1hicRBofzL9cMf/jAA4Ctf+Ur1WZly8oYbbtj/DXuJuP322wG8OD8WLVqE+++/v3bO0NBQ1Tfl3BokSsmyNKNdfvnleM973gOgXo52EOfPOeecA2DvX3EA8OUvfxnvfe97AQA33XRTdd4g9o3C5Wy1Pw4//PDafg3sXZNleeVB27PXrVuHO+64A8CL5qWbb755TPWRFQBjjDFmABmzCkDphLN69WqcfvrpAIBt27YBGLw3SeaKK67AnDlzAOwtlATs/YulpHRoKvtvEPj+978PANi4cSMA4MYbb8QTTzwB4MW/bnft2jWQfVNSPnNZWAt4cR2V/hLAYM6fL33pSwCAT37ykwCA8847r7J1l86TwGD2jZLrj8MPPxyrV68GgNqePWj7ddkvv//7v4+/+Iu/APCicjJ79uwx1Udj1gmwjAK4/PLLcdhhhwF4scNejl6lTZTet5/61Kdw3nnnAQBmzZoFADjhhBMqqXLLli0A9hafeLl6KTdx4403ViaAMgrgK1/5SiWzffrTnwYwWFEA5bz4zd/8TQB7N+tSwp05c+ZAz59yrpQvAMcee2y1YZ977rkA9poCuG+Al28UwKZNmwAAn/jEJwAAP/jBD/ChD30IwN69Boj7Y3h4GJdffjkA1Pbsl+N+neujr33tawCAM888E0cccQQA4Dd+4zcAAAsXLhxTfWQTgDHGGDOAjFkFwBhjjDH7DisAxhhjzADiFwBjjDFmAPELgDHGGDOA+AXAGGOMGUD8AmCMMcYMIH4BMMYYYwYQvwAYY4wxA4hfAIwxxpgBxC8AxhhjzADy/wfSHiOb9F+SWgAAAABJRU5ErkJggg==" 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" 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" 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" 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" 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" style="display: none;"/></img></img></div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="Batch-processing">Batch processing<a class="anchor-link" href="#Batch-processing">¶</a></h2>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>We use the optimized settings and iterate through the full movie.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [9]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">f</span> <span class="o">=</span> <span class="n">tp</span><span class="o">.</span><span class="n">batch</span><span class="p">(</span><span class="n">frames</span><span class="p">,</span> <span class="n">diameter</span><span class="o">=</span><span class="p">(</span><span class="mi">7</span><span class="p">,</span> <span class="mi">11</span><span class="p">,</span> <span class="mi">11</span><span class="p">),</span> <span class="n">separation</span><span class="o">=</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="mi">11</span><span class="p">,</span> <span class="mi">11</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>Frame 32: 161 features
+</pre>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="Linking">Linking<a class="anchor-link" href="#Linking">¶</a></h2>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>The linking features of trackpy support an arbitrary number of dimensions. The argument pos_columns will determine which and how many dimensions will be used. The standard set of columns is <code>['x', 'y']</code>. For 3d we have to set this to <code>['x', 'y', 'z']</code>. 
+Linking treats all dimensions equally. For this example we are using a file with unequal pixel sizes: 0.21 microns in XY and 0.75 microns in Z, so we first define new columns in units of microns.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [10]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">f</span><span class="p">[</span><span class="s1">'xum'</span><span class="p">]</span> <span class="o">=</span> <span class="n">f</span><span class="p">[</span><span class="s1">'x'</span><span class="p">]</span> <span class="o">*</span> <span class="mf">0.21</span>
+<span class="n">f</span><span class="p">[</span><span class="s1">'yum'</span><span class="p">]</span> <span class="o">=</span> <span class="n">f</span><span class="p">[</span><span class="s1">'y'</span><span class="p">]</span> <span class="o">*</span> <span class="mf">0.21</span>
+<span class="n">f</span><span class="p">[</span><span class="s1">'zum'</span><span class="p">]</span> <span class="o">=</span> <span class="n">f</span><span class="p">[</span><span class="s1">'z'</span><span class="p">]</span> <span class="o">*</span> <span class="mf">0.75</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>Experimentally, there is a tradeoff between framerate and z pixel size. If you want to have higher z resolution, you scan slower and your framerate goes down. In this specific experiment the z resolution is low, so that we are able to link particles between subsequent frames. We try several linking distances here.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [11]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="k">for</span> <span class="n">search_range</span> <span class="ow">in</span> <span class="p">[</span><span class="mf">1.0</span><span class="p">,</span> <span class="mf">1.5</span><span class="p">,</span> <span class="mf">2.0</span><span class="p">,</span> <span class="mf">2.5</span><span class="p">]:</span>
+    <span class="n">linked</span> <span class="o">=</span> <span class="n">tp</span><span class="o">.</span><span class="n">link_df</span><span class="p">(</span><span class="n">f</span><span class="p">,</span> <span class="n">search_range</span><span class="p">,</span> <span class="n">pos_columns</span><span class="o">=</span><span class="p">[</span><span class="s1">'xum'</span><span class="p">,</span> <span class="s1">'yum'</span><span class="p">,</span> <span class="s1">'zum'</span><span class="p">])</span>
+    <span class="n">hist</span><span class="p">,</span> <span class="n">bins</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">histogram</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">bincount</span><span class="p">(</span><span class="n">linked</span><span class="o">.</span><span class="n">particle</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="nb">int</span><span class="p">)),</span>
+                              <span class="n">bins</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">30</span><span class="p">),</span> <span class="n">normed</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+    <span class="n">plt</span><span class="o">.</span><span class="n">step</span><span class="p">(</span><span class="n">bins</span><span class="p">[</span><span class="mi">1</span><span class="p">:],</span> <span class="n">hist</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">'range = </span><span class="si">{}</span><span class="s1"> microns'</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">search_range</span><span class="p">))</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">'relative frequency'</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">'track length (frames)'</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">();</span>
+</pre></div>
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+"/>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="Mean-squared-displacement">Mean squared displacement<a class="anchor-link" href="#Mean-squared-displacement">¶</a></h2>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>We use a search range of 2.0 microns, because there is no significant improvement between 2.0 and 2.5 microns.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [12]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">linked</span> <span class="o">=</span> <span class="n">tp</span><span class="o">.</span><span class="n">link_df</span><span class="p">(</span><span class="n">f</span><span class="p">,</span> <span class="mf">2.0</span><span class="p">,</span> <span class="n">pos_columns</span><span class="o">=</span><span class="p">[</span><span class="s1">'xum'</span><span class="p">,</span> <span class="s1">'yum'</span><span class="p">,</span> <span class="s1">'zum'</span><span class="p">])</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>With the trajectories we can calculate the mean squared displacement. To calculate the mean squared displacement from all three dimensions, we need to tell trackpy which position columns to use. It defaults to <code>['x', 'y']</code>.</p>
+<p>We specify <code>mpp=1</code> because we have already transformed our data to microns.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [13]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">msd3D</span> <span class="o">=</span> <span class="n">tp</span><span class="o">.</span><span class="n">emsd</span><span class="p">(</span><span class="n">linked</span><span class="p">,</span> <span class="n">mpp</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">fps</span><span class="o">=</span><span class="mi">1</span><span class="o">/</span><span class="mf">0.8582</span><span class="p">,</span> <span class="n">max_lagtime</span><span class="o">=</span><span class="mi">20</span><span class="p">,</span>
+                <span class="n">pos_columns</span><span class="o">=</span><span class="p">[</span><span class="s1">'xum'</span><span class="p">,</span> <span class="s1">'yum'</span><span class="p">,</span> <span class="s1">'zum'</span><span class="p">])</span>
+<span class="n">ax</span> <span class="o">=</span> <span class="n">msd3D</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">style</span><span class="o">=</span><span class="s1">'o'</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">'MSD in 3D'</span><span class="p">)</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="sa">r</span><span class="s1">'$\langle \Delta r^2 \rangle$ [$\mu$m$^2$]'</span><span class="p">)</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s1">'lag time $t$'</span><span class="p">)</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">set_xlim</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">16</span><span class="p">)</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">set_ylim</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">20</span><span class="p">)</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">legend</span><span class="p">(</span><span class="n">loc</span><span class="o">=</span><span class="s1">'upper left'</span><span class="p">);</span>
+</pre></div>
+</div>
+</div>
+</div>
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+"/>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>The mean squared displacement in three dimensional Brownian motion is described by the following relation:</p>
+$$\langle x^2 \rangle = 6 D t$$<p>Let's do a fit and calculate the diffusion constant!</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [14]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">slope</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">linalg</span><span class="o">.</span><span class="n">lstsq</span><span class="p">(</span><span class="n">msd3D</span><span class="o">.</span><span class="n">index</span><span class="p">[:,</span> <span class="n">np</span><span class="o">.</span><span class="n">newaxis</span><span class="p">],</span> <span class="n">msd3D</span><span class="p">)[</span><span class="mi">0</span><span class="p">][</span><span class="mi">0</span><span class="p">]</span>
+
+<span class="n">ax</span> <span class="o">=</span> <span class="n">msd3D</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">style</span><span class="o">=</span><span class="s1">'o'</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">'MSD in 3D'</span><span class="p">)</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">20</span><span class="p">),</span> <span class="n">slope</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="mi">20</span><span class="p">),</span> <span class="n">label</span><span class="o">=</span><span class="s1">'linear fit'</span><span class="p">)</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">set</span><span class="p">(</span><span class="n">ylabel</span><span class="o">=</span><span class="sa">r</span><span class="s1">'$\langle \Delta r^2 \rangle$ [$\mu$m$^2$]'</span><span class="p">,</span> <span class="n">xlabel</span><span class="o">=</span><span class="s1">'lag time $t$'</span><span class="p">)</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">set</span><span class="p">(</span><span class="n">xlim</span><span class="o">=</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">16</span><span class="p">),</span> <span class="n">ylim</span><span class="o">=</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">20</span><span class="p">))</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">legend</span><span class="p">(</span><span class="n">loc</span><span class="o">=</span><span class="s1">'upper left'</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="sa">r</span><span class="s1">'The diffusion constant is </span><span class="si">{0:.2f}</span><span class="s1"> μm²/s'</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">slope</span> <span class="o">/</span> <span class="mi">6</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>The diffusion constant is 0.20 μm²/s
+</pre>
+</div>
+</div>
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
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+"/>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
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+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="About-this-work">About this work<a class="anchor-link" href="#About-this-work">¶</a></h2>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
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+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>This tutorial was written by Casper van der Wel, as part of his PhD thesis in Daniela Kraft’s group at the Huygens-Kamerlingh-Onnes laboratory, Institute of Physics, Leiden University, The Netherlands. This work was supported by the Netherlands Organisation for Scientific Research (NWO/OCW).</p>
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+  <a href="../_sources/tutorial/tracking-3d.rst.txt"
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+    </p>
+    <p>
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diff --git a/trackpy/v0.6.2/tutorial/uncertainty.html b/trackpy/v0.6.2/tutorial/uncertainty.html
new file mode 100644
index 00000000..65fcae00
--- /dev/null
+++ b/trackpy/v0.6.2/tutorial/uncertainty.html
@@ -0,0 +1,8773 @@
+<!DOCTYPE html>
+
+<html lang="en">
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+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>uncertainty &#8212; trackpy 0.6.2 documentation</title>
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+<li class="toctree-l1 current"><a class="current reference internal" href="#">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="adaptive-search.html">Adaptive Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="on-disk.html">Streaming</a></li>
+<li class="toctree-l1"><a class="reference internal" href="performance.html">Performance</a></li>
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+<li class="toctree-l1"><a class="reference internal" href="custom-feature-detection.html">Tracking Large Features Such As Bubbles</a></li>
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+    <div class="body col-md-12 content" role="main">
+      
+  <section id="uncertainty">
+<h1>uncertainty<a class="headerlink" href="#uncertainty" title="Permalink to this heading">¶</a></h1>
+<!DOCTYPE html>
+
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+.lm-ScrollBar-thumb:hover {
+  background: #bababa;
+}
+
+.lm-ScrollBar-thumb.lm-mod-active {
+  background: #a0a0a0;
+}
+
+.lm-ScrollBar[data-orientation='horizontal'] .lm-ScrollBar-thumb {
+  height: 100%;
+  min-width: 15px;
+  border-left: 1px solid #a0a0a0;
+  border-right: 1px solid #a0a0a0;
+}
+
+.lm-ScrollBar[data-orientation='vertical'] .lm-ScrollBar-thumb {
+  width: 100%;
+  min-height: 15px;
+  border-top: 1px solid #a0a0a0;
+  border-bottom: 1px solid #a0a0a0;
+}
+
+.lm-ScrollBar[data-orientation='horizontal']
+  .lm-ScrollBar-button[data-action='decrement'] {
+  background-image: var(--jp-icon-caret-left);
+  background-size: 17px;
+}
+
+.lm-ScrollBar[data-orientation='horizontal']
+  .lm-ScrollBar-button[data-action='increment'] {
+  background-image: var(--jp-icon-caret-right);
+  background-size: 17px;
+}
+
+.lm-ScrollBar[data-orientation='vertical']
+  .lm-ScrollBar-button[data-action='decrement'] {
+  background-image: var(--jp-icon-caret-up);
+  background-size: 17px;
+}
+
+.lm-ScrollBar[data-orientation='vertical']
+  .lm-ScrollBar-button[data-action='increment'] {
+  background-image: var(--jp-icon-caret-down);
+  background-size: 17px;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-Widget {
+  box-sizing: border-box;
+  position: relative;
+  overflow: hidden;
+}
+
+.lm-Widget.lm-mod-hidden {
+  display: none !important;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.lm-AccordionPanel[data-orientation='horizontal'] > .lm-AccordionPanel-title {
+  /* Title is rotated for horizontal accordion panel using CSS */
+  display: block;
+  transform-origin: top left;
+  transform: rotate(-90deg) translate(-100%);
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette {
+  display: flex;
+  flex-direction: column;
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.lm-CommandPalette-search {
+  flex: 0 0 auto;
+}
+
+.lm-CommandPalette-content {
+  flex: 1 1 auto;
+  margin: 0;
+  padding: 0;
+  min-height: 0;
+  overflow: auto;
+  list-style-type: none;
+}
+
+.lm-CommandPalette-header {
+  overflow: hidden;
+  white-space: nowrap;
+  text-overflow: ellipsis;
+}
+
+.lm-CommandPalette-item {
+  display: flex;
+  flex-direction: row;
+}
+
+.lm-CommandPalette-itemIcon {
+  flex: 0 0 auto;
+}
+
+.lm-CommandPalette-itemContent {
+  flex: 1 1 auto;
+  overflow: hidden;
+}
+
+.lm-CommandPalette-itemShortcut {
+  flex: 0 0 auto;
+}
+
+.lm-CommandPalette-itemLabel {
+  overflow: hidden;
+  white-space: nowrap;
+  text-overflow: ellipsis;
+}
+
+.lm-close-icon {
+  border: 1px solid transparent;
+  background-color: transparent;
+  position: absolute;
+  z-index: 1;
+  right: 3%;
+  top: 0;
+  bottom: 0;
+  margin: auto;
+  padding: 7px 0;
+  display: none;
+  vertical-align: middle;
+  outline: 0;
+  cursor: pointer;
+}
+.lm-close-icon:after {
+  content: 'X';
+  display: block;
+  width: 15px;
+  height: 15px;
+  text-align: center;
+  color: #000;
+  font-weight: normal;
+  font-size: 12px;
+  cursor: pointer;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-DockPanel {
+  z-index: 0;
+}
+
+.lm-DockPanel-widget {
+  z-index: 0;
+}
+
+.lm-DockPanel-tabBar {
+  z-index: 1;
+}
+
+.lm-DockPanel-handle {
+  z-index: 2;
+}
+
+.lm-DockPanel-handle.lm-mod-hidden {
+  display: none !important;
+}
+
+.lm-DockPanel-handle:after {
+  position: absolute;
+  top: 0;
+  left: 0;
+  width: 100%;
+  height: 100%;
+  content: '';
+}
+
+.lm-DockPanel-handle[data-orientation='horizontal'] {
+  cursor: ew-resize;
+}
+
+.lm-DockPanel-handle[data-orientation='vertical'] {
+  cursor: ns-resize;
+}
+
+.lm-DockPanel-handle[data-orientation='horizontal']:after {
+  left: 50%;
+  min-width: 8px;
+  transform: translateX(-50%);
+}
+
+.lm-DockPanel-handle[data-orientation='vertical']:after {
+  top: 50%;
+  min-height: 8px;
+  transform: translateY(-50%);
+}
+
+.lm-DockPanel-overlay {
+  z-index: 3;
+  box-sizing: border-box;
+  pointer-events: none;
+}
+
+.lm-DockPanel-overlay.lm-mod-hidden {
+  display: none !important;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-Menu {
+  z-index: 10000;
+  position: absolute;
+  white-space: nowrap;
+  overflow-x: hidden;
+  overflow-y: auto;
+  outline: none;
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.lm-Menu-content {
+  margin: 0;
+  padding: 0;
+  display: table;
+  list-style-type: none;
+}
+
+.lm-Menu-item {
+  display: table-row;
+}
+
+.lm-Menu-item.lm-mod-hidden,
+.lm-Menu-item.lm-mod-collapsed {
+  display: none !important;
+}
+
+.lm-Menu-itemIcon,
+.lm-Menu-itemSubmenuIcon {
+  display: table-cell;
+  text-align: center;
+}
+
+.lm-Menu-itemLabel {
+  display: table-cell;
+  text-align: left;
+}
+
+.lm-Menu-itemShortcut {
+  display: table-cell;
+  text-align: right;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-MenuBar {
+  outline: none;
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.lm-MenuBar-content {
+  margin: 0;
+  padding: 0;
+  display: flex;
+  flex-direction: row;
+  list-style-type: none;
+}
+
+.lm-MenuBar-item {
+  box-sizing: border-box;
+}
+
+.lm-MenuBar-itemIcon,
+.lm-MenuBar-itemLabel {
+  display: inline-block;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-ScrollBar {
+  display: flex;
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.lm-ScrollBar[data-orientation='horizontal'] {
+  flex-direction: row;
+}
+
+.lm-ScrollBar[data-orientation='vertical'] {
+  flex-direction: column;
+}
+
+.lm-ScrollBar-button {
+  box-sizing: border-box;
+  flex: 0 0 auto;
+}
+
+.lm-ScrollBar-track {
+  box-sizing: border-box;
+  position: relative;
+  overflow: hidden;
+  flex: 1 1 auto;
+}
+
+.lm-ScrollBar-thumb {
+  box-sizing: border-box;
+  position: absolute;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-SplitPanel-child {
+  z-index: 0;
+}
+
+.lm-SplitPanel-handle {
+  z-index: 1;
+}
+
+.lm-SplitPanel-handle.lm-mod-hidden {
+  display: none !important;
+}
+
+.lm-SplitPanel-handle:after {
+  position: absolute;
+  top: 0;
+  left: 0;
+  width: 100%;
+  height: 100%;
+  content: '';
+}
+
+.lm-SplitPanel[data-orientation='horizontal'] > .lm-SplitPanel-handle {
+  cursor: ew-resize;
+}
+
+.lm-SplitPanel[data-orientation='vertical'] > .lm-SplitPanel-handle {
+  cursor: ns-resize;
+}
+
+.lm-SplitPanel[data-orientation='horizontal'] > .lm-SplitPanel-handle:after {
+  left: 50%;
+  min-width: 8px;
+  transform: translateX(-50%);
+}
+
+.lm-SplitPanel[data-orientation='vertical'] > .lm-SplitPanel-handle:after {
+  top: 50%;
+  min-height: 8px;
+  transform: translateY(-50%);
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-TabBar {
+  display: flex;
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.lm-TabBar[data-orientation='horizontal'] {
+  flex-direction: row;
+  align-items: flex-end;
+}
+
+.lm-TabBar[data-orientation='vertical'] {
+  flex-direction: column;
+  align-items: flex-end;
+}
+
+.lm-TabBar-content {
+  margin: 0;
+  padding: 0;
+  display: flex;
+  flex: 1 1 auto;
+  list-style-type: none;
+}
+
+.lm-TabBar[data-orientation='horizontal'] > .lm-TabBar-content {
+  flex-direction: row;
+}
+
+.lm-TabBar[data-orientation='vertical'] > .lm-TabBar-content {
+  flex-direction: column;
+}
+
+.lm-TabBar-tab {
+  display: flex;
+  flex-direction: row;
+  box-sizing: border-box;
+  overflow: hidden;
+  touch-action: none; /* Disable native Drag/Drop */
+}
+
+.lm-TabBar-tabIcon,
+.lm-TabBar-tabCloseIcon {
+  flex: 0 0 auto;
+}
+
+.lm-TabBar-tabLabel {
+  flex: 1 1 auto;
+  overflow: hidden;
+  white-space: nowrap;
+}
+
+.lm-TabBar-tabInput {
+  user-select: all;
+  width: 100%;
+  box-sizing: border-box;
+}
+
+.lm-TabBar-tab.lm-mod-hidden {
+  display: none !important;
+}
+
+.lm-TabBar-addButton.lm-mod-hidden {
+  display: none !important;
+}
+
+.lm-TabBar.lm-mod-dragging .lm-TabBar-tab {
+  position: relative;
+}
+
+.lm-TabBar.lm-mod-dragging[data-orientation='horizontal'] .lm-TabBar-tab {
+  left: 0;
+  transition: left 150ms ease;
+}
+
+.lm-TabBar.lm-mod-dragging[data-orientation='vertical'] .lm-TabBar-tab {
+  top: 0;
+  transition: top 150ms ease;
+}
+
+.lm-TabBar.lm-mod-dragging .lm-TabBar-tab.lm-mod-dragging {
+  transition: none;
+}
+
+.lm-TabBar-tabLabel .lm-TabBar-tabInput {
+  user-select: all;
+  width: 100%;
+  box-sizing: border-box;
+  background: inherit;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-TabPanel-tabBar {
+  z-index: 1;
+}
+
+.lm-TabPanel-stackedPanel {
+  z-index: 0;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Collapse {
+  display: flex;
+  flex-direction: column;
+  align-items: stretch;
+}
+
+.jp-Collapse-header {
+  padding: 1px 12px;
+  background-color: var(--jp-layout-color1);
+  border-bottom: solid var(--jp-border-width) var(--jp-border-color2);
+  color: var(--jp-ui-font-color1);
+  cursor: pointer;
+  display: flex;
+  align-items: center;
+  font-size: var(--jp-ui-font-size0);
+  font-weight: 600;
+  text-transform: uppercase;
+  user-select: none;
+}
+
+.jp-Collapser-icon {
+  height: 16px;
+}
+
+.jp-Collapse-header-collapsed .jp-Collapser-icon {
+  transform: rotate(-90deg);
+  margin: auto 0;
+}
+
+.jp-Collapser-title {
+  line-height: 25px;
+}
+
+.jp-Collapse-contents {
+  padding: 0 12px;
+  background-color: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  overflow: auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/* This file was auto-generated by ensureUiComponents() in @jupyterlab/buildutils */
+
+/**
+ * (DEPRECATED) Support for consuming icons as CSS background images
+ */
+
+/* Icons urls */
+
+:root {
+  --jp-icon-add-above: url(data:image/svg+xml;base64,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);
+  --jp-icon-add-below: url(data:image/svg+xml;base64,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);
+  --jp-icon-add: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE5IDEzaC02djZoLTJ2LTZINXYtMmg2VjVoMnY2aDZ2MnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-bell: url(data:image/svg+xml;base64,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);
+  --jp-icon-bug-dot: url(data:image/svg+xml;base64,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);
+  --jp-icon-bug: url(data:image/svg+xml;base64,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);
+  --jp-icon-build: url(data:image/svg+xml;base64,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);
+  --jp-icon-caret-down-empty-thin: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwIDIwIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwb2x5Z29uIGNsYXNzPSJzdDEiIHBvaW50cz0iOS45LDEzLjYgMy42LDcuNCA0LjQsNi42IDkuOSwxMi4yIDE1LjQsNi43IDE2LjEsNy40ICIvPgoJPC9nPgo8L3N2Zz4K);
+  --jp-icon-caret-down-empty: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik01LjIsNS45TDksOS43bDMuOC0zLjhsMS4yLDEuMmwtNC45LDVsLTQuOS01TDUuMiw1Ljl6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-caret-down: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik01LjIsNy41TDksMTEuMmwzLjgtMy44SDUuMnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-caret-left: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwYXRoIGQ9Ik0xMC44LDEyLjhMNy4xLDlsMy44LTMuOGwwLDcuNkgxMC44eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-caret-right: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik03LjIsNS4yTDEwLjksOWwtMy44LDMuOFY1LjJINy4yeiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-caret-up-empty-thin: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwIDIwIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwb2x5Z29uIGNsYXNzPSJzdDEiIHBvaW50cz0iMTUuNCwxMy4zIDkuOSw3LjcgNC40LDEzLjIgMy42LDEyLjUgOS45LDYuMyAxNi4xLDEyLjYgIi8+Cgk8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-caret-up: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwYXRoIGQ9Ik01LjIsMTAuNUw5LDYuOGwzLjgsMy44SDUuMnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-case-sensitive: url(data:image/svg+xml;base64,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);
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+  --jp-icon-circle-empty: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyIDJDNi40NyAyIDIgNi40NyAyIDEyczQuNDcgMTAgMTAgMTAgMTAtNC40NyAxMC0xMFMxNy41MyAyIDEyIDJ6bTAgMThjLTQuNDEgMC04LTMuNTktOC04czMuNTktOCA4LTggOCAzLjU5IDggOC0zLjU5IDgtOCA4eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-circle: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMTggMTgiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPGNpcmNsZSBjeD0iOSIgY3k9IjkiIHI9IjgiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-clear: url(data:image/svg+xml;base64,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);
+  --jp-icon-close: url(data:image/svg+xml;base64,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);
+  --jp-icon-code-check: url(data:image/svg+xml;base64,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);
+  --jp-icon-code: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjIiIGhlaWdodD0iMjIiIHZpZXdCb3g9IjAgMCAyOCAyOCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CgkJPHBhdGggZD0iTTExLjQgMTguNkw2LjggMTRMMTEuNCA5LjRMMTAgOEw0IDE0TDEwIDIwTDExLjQgMTguNlpNMTYuNiAxOC42TDIxLjIgMTRMMTYuNiA5LjRMMTggOEwyNCAxNEwxOCAyMEwxNi42IDE4LjZWMTguNloiLz4KCTwvZz4KPC9zdmc+Cg==);
+  --jp-icon-collapse-all: url(data:image/svg+xml;base64,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);
+  --jp-icon-console: url(data:image/svg+xml;base64,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);
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+  --jp-icon-copyright: url(data:image/svg+xml;base64,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);
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+  --jp-icon-ellipses: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPGNpcmNsZSBjeD0iNSIgY3k9IjEyIiByPSIyIi8+CiAgICA8Y2lyY2xlIGN4PSIxMiIgY3k9IjEyIiByPSIyIi8+CiAgICA8Y2lyY2xlIGN4PSIxOSIgY3k9IjEyIiByPSIyIi8+CiAgPC9nPgo8L3N2Zz4K);
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+  --jp-icon-extension: url(data:image/svg+xml;base64,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);
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+  --jp-icon-file-upload: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTkgMTZoNnYtNmg0bC03LTctNyA3aDR6bS00IDJoMTR2Mkg1eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-file: url(data:image/svg+xml;base64,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);
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+  --jp-icon-filter: url(data:image/svg+xml;base64,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);
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+  --jp-icon-home: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIGhlaWdodD0iMjRweCIgdmlld0JveD0iMCAwIDI0IDI0IiB3aWR0aD0iMjRweCIgZmlsbD0iIzAwMDAwMCI+CiAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPjxwYXRoIGNsYXNzPSJqcC1pY29uMyBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xMCAyMHYtNmg0djZoNXYtOGgzTDEyIDMgMiAxMmgzdjh6Ii8+Cjwvc3ZnPgo=);
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+  --jp-icon-info: url(data:image/svg+xml;base64,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);
+  --jp-icon-inspector: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaW5zcGVjdG9yLWljb24tY29sb3IganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMjAgNEg0Yy0xLjEgMC0xLjk5LjktMS45OSAyTDIgMThjMCAxLjEuOSAyIDIgMmgxNmMxLjEgMCAyLS45IDItMlY2YzAtMS4xLS45LTItMi0yem0tNSAxNEg0di00aDExdjR6bTAtNUg0VjloMTF2NHptNSA1aC00VjloNHY5eiIvPgo8L3N2Zz4K);
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+  --jp-icon-kernel: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGNsYXNzPSJqcC1pY29uMiIgZmlsbD0iIzYxNjE2MSIgZD0iTTE1IDlIOXY2aDZWOXptLTIgNGgtMnYtMmgydjJ6bTgtMlY5aC0yVjdjMC0xLjEtLjktMi0yLTJoLTJWM2gtMnYyaC0yVjNIOXYySDdjLTEuMSAwLTIgLjktMiAydjJIM3YyaDJ2MkgzdjJoMnYyYzAgMS4xLjkgMiAyIDJoMnYyaDJ2LTJoMnYyaDJ2LTJoMmMxLjEgMCAyLS45IDItMnYtMmgydi0yaC0ydi0yaDJ6bS00IDZIN1Y3aDEwdjEweiIvPgo8L3N2Zz4K);
+  --jp-icon-keyboard: url(data:image/svg+xml;base64,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);
+  --jp-icon-launch: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMzIgMzIiIHdpZHRoPSIzMiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIj4KICAgIDxwYXRoIGQ9Ik0yNiwyOEg2YTIuMDAyNywyLjAwMjcsMCwwLDEtMi0yVjZBMi4wMDI3LDIuMDAyNywwLDAsMSw2LDRIMTZWNkg2VjI2SDI2VjE2aDJWMjZBMi4wMDI3LDIuMDAyNywwLDAsMSwyNiwyOFoiLz4KICAgIDxwb2x5Z29uIHBvaW50cz0iMjAgMiAyMCA0IDI2LjU4NiA0IDE4IDEyLjU4NiAxOS40MTQgMTQgMjggNS40MTQgMjggMTIgMzAgMTIgMzAgMiAyMCAyIi8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-launcher: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMTkgMTlINVY1aDdWM0g1YTIgMiAwIDAwLTIgMnYxNGEyIDIgMCAwMDIgMmgxNGMxLjEgMCAyLS45IDItMnYtN2gtMnY3ek0xNCAzdjJoMy41OWwtOS44MyA5LjgzIDEuNDEgMS40MUwxOSA2LjQxVjEwaDJWM2gtN3oiLz4KPC9zdmc+Cg==);
+  --jp-icon-line-form: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGZpbGw9IndoaXRlIiBkPSJNNS44OCA0LjEyTDEzLjc2IDEybC03Ljg4IDcuODhMOCAyMmwxMC0xMEw4IDJ6Ii8+Cjwvc3ZnPgo=);
+  --jp-icon-link: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTMuOSAxMmMwLTEuNzEgMS4zOS0zLjEgMy4xLTMuMWg0VjdIN2MtMi43NiAwLTUgMi4yNC01IDVzMi4yNCA1IDUgNWg0di0xLjlIN2MtMS43MSAwLTMuMS0xLjM5LTMuMS0zLjF6TTggMTNoOHYtMkg4djJ6bTktNmgtNHYxLjloNGMxLjcxIDAgMy4xIDEuMzkgMy4xIDMuMXMtMS4zOSAzLjEtMy4xIDMuMWgtNFYxN2g0YzIuNzYgMCA1LTIuMjQgNS01cy0yLjI0LTUtNS01eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-list: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGNsYXNzPSJqcC1pY29uMiBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xOSA1djE0SDVWNWgxNG0xLjEtMkgzLjljLS41IDAtLjkuNC0uOS45djE2LjJjMCAuNC40LjkuOS45aDE2LjJjLjQgMCAuOS0uNS45LS45VjMuOWMwLS41LS41LS45LS45LS45ek0xMSA3aDZ2MmgtNlY3em0wIDRoNnYyaC02di0yem0wIDRoNnYyaC02ek03IDdoMnYySDd6bTAgNGgydjJIN3ptMCA0aDJ2Mkg3eiIvPgo8L3N2Zz4K);
+  --jp-icon-markdown: url(data:image/svg+xml;base64,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);
+  --jp-icon-move-down: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMTQiIGhlaWdodD0iMTQiIHZpZXdCb3g9IjAgMCAxNCAxNCIgZmlsbD0ibm9uZSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KPHBhdGggY2xhc3M9ImpwLWljb24zIiBkPSJNMTIuNDcxIDcuNTI4OTlDMTIuNzYzMiA3LjIzNjg0IDEyLjc2MzIgNi43NjMxNiAxMi40NzEgNi40NzEwMVY2LjQ3MTAxQzEyLjE3OSA2LjE3OTA1IDExLjcwNTcgNi4xNzg4NCAxMS40MTM1IDYuNDcwNTRMNy43NSAxMC4xMjc1VjEuNzVDNy43NSAxLjMzNTc5IDcuNDE0MjEgMSA3IDFWMUM2LjU4NTc5IDEgNi4yNSAxLjMzNTc5IDYuMjUgMS43NVYxMC4xMjc1TDIuNTk3MjYgNi40NjgyMkMyLjMwMzM4IDYuMTczODEgMS44MjY0MSA2LjE3MzU5IDEuNTMyMjYgNi40Njc3NFY2LjQ2Nzc0QzEuMjM4MyA2Ljc2MTcgMS4yMzgzIDcuMjM4MyAxLjUzMjI2IDcuNTMyMjZMNi4yOTI4OSAxMi4yOTI5QzYuNjgzNDIgMTIuNjgzNCA3LjMxNjU4IDEyLjY4MzQgNy43MDcxMSAxMi4yOTI5TDEyLjQ3MSA3LjUyODk5WiIgZmlsbD0iIzYxNjE2MSIvPgo8L3N2Zz4K);
+  --jp-icon-move-up: url(data:image/svg+xml;base64,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);
+  --jp-icon-new-folder: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTIwIDZoLThsLTItMkg0Yy0xLjExIDAtMS45OS44OS0xLjk5IDJMMiAxOGMwIDEuMTEuODkgMiAyIDJoMTZjMS4xMSAwIDItLjg5IDItMlY4YzAtMS4xMS0uODktMi0yLTJ6bS0xIDhoLTN2M2gtMnYtM2gtM3YtMmgzVjloMnYzaDN2MnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-not-trusted: url(data:image/svg+xml;base64,PHN2ZyBmaWxsPSJub25lIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI1IDI1Ij4KICAgIDxwYXRoIGNsYXNzPSJqcC1pY29uMiIgc3Ryb2tlPSIjMzMzMzMzIiBzdHJva2Utd2lkdGg9IjIiIHRyYW5zZm9ybT0idHJhbnNsYXRlKDMgMykiIGQ9Ik0xLjg2MDk0IDExLjQ0MDlDMC44MjY0NDggOC43NzAyNyAwLjg2Mzc3OSA2LjA1NzY0IDEuMjQ5MDcgNC4xOTkzMkMyLjQ4MjA2IDMuOTMzNDcgNC4wODA2OCAzLjQwMzQ3IDUuNjAxMDIgMi44NDQ5QzcuMjM1NDkgMi4yNDQ0IDguODU2NjYgMS41ODE1IDkuOTg3NiAxLjA5NTM5QzExLjA1OTcgMS41ODM0MSAxMi42MDk0IDIuMjQ0NCAxNC4yMTggMi44NDMzOUMxNS43NTAzIDMuNDEzOTQgMTcuMzk5NSAzLjk1MjU4IDE4Ljc1MzkgNC4yMTM4NUMxOS4xMzY0IDYuMDcxNzcgMTkuMTcwOSA4Ljc3NzIyIDE4LjEzOSAxMS40NDA5QzE3LjAzMDMgMTQuMzAzMiAxNC42NjY4IDE3LjE4NDQgOS45OTk5OSAxOC45MzU0QzUuMzMzMTkgMTcuMTg0NCAyLjk2OTY4IDE0LjMwMzIgMS44NjA5NCAxMS40NDA5WiIvPgogICAgPHBhdGggY2xhc3M9ImpwLWljb24yIiBzdHJva2U9IiMzMzMzMzMiIHN0cm9rZS13aWR0aD0iMiIgdHJhbnNmb3JtPSJ0cmFuc2xhdGUoOS4zMTU5MiA5LjMyMDMxKSIgZD0iTTcuMzY4NDIgMEwwIDcuMzY0NzkiLz4KICAgIDxwYXRoIGNsYXNzPSJqcC1pY29uMiIgc3Ryb2tlPSIjMzMzMzMzIiBzdHJva2Utd2lkdGg9IjIiIHRyYW5zZm9ybT0idHJhbnNsYXRlKDkuMzE1OTIgMTYuNjgzNikgc2NhbGUoMSAtMSkiIGQ9Ik03LjM2ODQyIDBMMCA3LjM2NDc5Ii8+Cjwvc3ZnPgo=);
+  --jp-icon-notebook: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtbm90ZWJvb2staWNvbi1jb2xvciBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiNFRjZDMDAiPgogICAgPHBhdGggZD0iTTE4LjcgMy4zdjE1LjRIMy4zVjMuM2gxNS40bTEuNS0xLjVIMS44djE4LjNoMTguM2wuMS0xOC4zeiIvPgogICAgPHBhdGggZD0iTTE2LjUgMTYuNWwtNS40LTQuMy01LjYgNC4zdi0xMWgxMXoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-numbering: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjIiIGhlaWdodD0iMjIiIHZpZXdCb3g9IjAgMCAyOCAyOCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CgkJPHBhdGggZD0iTTQgMTlINlYxOS41SDVWMjAuNUg2VjIxSDRWMjJIN1YxOEg0VjE5Wk01IDEwSDZWNkg0VjdINVYxMFpNNCAxM0g1LjhMNCAxNS4xVjE2SDdWMTVINS4yTDcgMTIuOVYxMkg0VjEzWk05IDdWOUgyM1Y3SDlaTTkgMjFIMjNWMTlIOVYyMVpNOSAxNUgyM1YxM0g5VjE1WiIvPgoJPC9nPgo8L3N2Zz4K);
+  --jp-icon-offline-bolt: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAyNCAyNCIgd2lkdGg9IjE2Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyIDIuMDJjLTUuNTEgMC05Ljk4IDQuNDctOS45OCA5Ljk4czQuNDcgOS45OCA5Ljk4IDkuOTggOS45OC00LjQ3IDkuOTgtOS45OFMxNy41MSAyLjAyIDEyIDIuMDJ6TTExLjQ4IDIwdi02LjI2SDhMMTMgNHY2LjI2aDMuMzVMMTEuNDggMjB6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-palette: url(data:image/svg+xml;base64,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);
+  --jp-icon-paste: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTE5IDJoLTQuMThDMTQuNC44NCAxMy4zIDAgMTIgMGMtMS4zIDAtMi40Ljg0LTIuODIgMkg1Yy0xLjEgMC0yIC45LTIgMnYxNmMwIDEuMS45IDIgMiAyaDE0YzEuMSAwIDItLjkgMi0yVjRjMC0xLjEtLjktMi0yLTJ6bS03IDBjLjU1IDAgMSAuNDUgMSAxcy0uNDUgMS0xIDEtMS0uNDUtMS0xIC40NS0xIDEtMXptNyAxOEg1VjRoMnYzaDEwVjRoMnYxNnoiLz4KICAgIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-pdf: url(data:image/svg+xml;base64,PHN2ZwogICB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAyMiAyMiIgd2lkdGg9IjE2Ij4KICAgIDxwYXRoIHRyYW5zZm9ybT0icm90YXRlKDQ1KSIgY2xhc3M9ImpwLWljb24tc2VsZWN0YWJsZSIgZmlsbD0iI0ZGMkEyQSIKICAgICAgIGQ9Im0gMjIuMzQ0MzY5LC0zLjAxNjM2NDIgaCA1LjYzODYwNCB2IDEuNTc5MjQzMyBoIC0zLjU0OTIyNyB2IDEuNTA4NjkyOTkgaCAzLjMzNzU3NiBWIDEuNjUwODE1NCBoIC0zLjMzNzU3NiB2IDMuNDM1MjYxMyBoIC0yLjA4OTM3NyB6IG0gLTcuMTM2NDQ0LDEuNTc5MjQzMyB2IDQuOTQzOTU0MyBoIDAuNzQ4OTIgcSAxLjI4MDc2MSwwIDEuOTUzNzAzLC0wLjYzNDk1MzUgMC42NzgzNjksLTAuNjM0OTUzNSAwLjY3ODM2OSwtMS44NDUxNjQxIDAsLTEuMjA0NzgzNTUgLTAuNjcyOTQyLC0xLjgzNDMxMDExIC0wLjY3Mjk0MiwtMC42Mjk1MjY1OSAtMS45NTkxMywtMC42Mjk1MjY1OSB6IG0gLTIuMDg5Mzc3LC0xLjU3OTI0MzMgaCAyLjIwMzM0MyBxIDEuODQ1MTY0LDAgMi43NDYwMzksMC4yNjU5MjA3IDAuOTA2MzAxLDAuMjYwNDkzNyAxLjU1MjEwOCwwLjg5MDAyMDMgMC41Njk4MywwLjU0ODEyMjMgMC44NDY2MDUsMS4yNjQ0ODAwNiAwLjI3Njc3NCwwLjcxNjM1NzgxIDAuMjc2Nzc0LDEuNjIyNjU4OTQgMCwwLjkxNzE1NTEgLTAuMjc2Nzc0LDEuNjM4OTM5OSAtMC4yNzY3NzUsMC43MTYzNTc4IC0wLjg0NjYwNSwxLjI2NDQ4IC0wLjY1MTIzNCwwLjYyOTUyNjYgLTEuNTYyOTYyLDAuODk1NDQ3MyAtMC45MTE3MjgsMC4yNjA0OTM3IC0yLjczNTE4NSwwLjI2MDQ5MzcgaCAtMi4yMDMzNDMgeiBtIC04LjE0NTg1NjUsMCBoIDMuNDY3ODIzIHEgMS41NDY2ODE2LDAgMi4zNzE1Nzg1LDAuNjg5MjIzIDAuODMwMzI0LDAuNjgzNzk2MSAwLjgzMDMyNCwxLjk1MzcwMzE0IDAsMS4yNzUzMzM5NyAtMC44MzAzMjQsMS45NjQ1NTcwNiBRIDkuOTg3MTk2MSwyLjI3NDkxNSA4LjQ0MDUxNDUsMi4yNzQ5MTUgSCA3LjA2MjA2ODQgViA1LjA4NjA3NjcgSCA0Ljk3MjY5MTUgWiBtIDIuMDg5Mzc2OSwxLjUxNDExOTkgdiAyLjI2MzAzOTQzIGggMS4xNTU5NDEgcSAwLjYwNzgxODgsMCAwLjkzODg2MjksLTAuMjkzMDU1NDcgMC4zMzEwNDQxLC0wLjI5ODQ4MjQxIDAuMzMxMDQ0MSwtMC44NDExNzc3MiAwLC0wLjU0MjY5NTMxIC0wLjMzMTA0NDEsLTAuODM1NzUwNzQgLTAuMzMxMDQ0MSwtMC4yOTMwNTU1IC0wLjkzODg2MjksLTAuMjkzMDU1NSB6IgovPgo8L3N2Zz4K);
+  --jp-icon-python: url(data:image/svg+xml;base64,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);
+  --jp-icon-r-kernel: url(data:image/svg+xml;base64,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);
+  --jp-icon-react: url(data:image/svg+xml;base64,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);
+  --jp-icon-redo: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIGhlaWdodD0iMjQiIHZpZXdCb3g9IjAgMCAyNCAyNCIgd2lkdGg9IjE2Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgICA8cGF0aCBkPSJNMCAwaDI0djI0SDB6IiBmaWxsPSJub25lIi8+PHBhdGggZD0iTTE4LjQgMTAuNkMxNi41NSA4Ljk5IDE0LjE1IDggMTEuNSA4Yy00LjY1IDAtOC41OCAzLjAzLTkuOTYgNy4yMkwzLjkgMTZjMS4wNS0zLjE5IDQuMDUtNS41IDcuNi01LjUgMS45NSAwIDMuNzMuNzIgNS4xMiAxLjg4TDEzIDE2aDlWN2wtMy42IDMuNnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-refresh: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTkgMTMuNWMtMi40OSAwLTQuNS0yLjAxLTQuNS00LjVTNi41MSA0LjUgOSA0LjVjMS4yNCAwIDIuMzYuNTIgMy4xNyAxLjMzTDEwIDhoNVYzbC0xLjc2IDEuNzZDMTIuMTUgMy42OCAxMC42NiAzIDkgMyA1LjY5IDMgMy4wMSA1LjY5IDMuMDEgOVM1LjY5IDE1IDkgMTVjMi45NyAwIDUuNDMtMi4xNiA1LjktNWgtMS41MmMtLjQ2IDItMi4yNCAzLjUtNC4zOCAzLjV6Ii8+CiAgICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-regex: url(data:image/svg+xml;base64,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);
+  --jp-icon-run: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTggNXYxNGwxMS03eiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-running: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDUxMiA1MTIiPgogIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICA8cGF0aCBkPSJNMjU2IDhDMTE5IDggOCAxMTkgOCAyNTZzMTExIDI0OCAyNDggMjQ4IDI0OC0xMTEgMjQ4LTI0OFMzOTMgOCAyNTYgOHptOTYgMzI4YzAgOC44LTcuMiAxNi0xNiAxNkgxNzZjLTguOCAwLTE2LTcuMi0xNi0xNlYxNzZjMC04LjggNy4yLTE2IDE2LTE2aDE2MGM4LjggMCAxNiA3LjIgMTYgMTZ2MTYweiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-save: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTE3IDNINWMtMS4xMSAwLTIgLjktMiAydjE0YzAgMS4xLjg5IDIgMiAyaDE0YzEuMSAwIDItLjkgMi0yVjdsLTQtNHptLTUgMTZjLTEuNjYgMC0zLTEuMzQtMy0zczEuMzQtMyAzLTMgMyAxLjM0IDMgMy0xLjM0IDMtMyAzem0zLTEwSDVWNWgxMHY0eiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-search: url(data:image/svg+xml;base64,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);
+  --jp-icon-settings: url(data:image/svg+xml;base64,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);
+  --jp-icon-share: url(data:image/svg+xml;base64,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);
+  --jp-icon-spreadsheet: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8cGF0aCBjbGFzcz0ianAtaWNvbi1jb250cmFzdDEganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNENBRjUwIiBkPSJNMi4yIDIuMnYxNy42aDE3LjZWMi4ySDIuMnptMTUuNCA3LjdoLTUuNVY0LjRoNS41djUuNXpNOS45IDQuNHY1LjVINC40VjQuNGg1LjV6bS01LjUgNy43aDUuNXY1LjVINC40di01LjV6bTcuNyA1LjV2LTUuNWg1LjV2NS41aC01LjV6Ii8+Cjwvc3ZnPgo=);
+  --jp-icon-stop: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik02IDZoMTJ2MTJINnoiLz4KICAgIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-tab: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTIxIDNIM2MtMS4xIDAtMiAuOS0yIDJ2MTRjMCAxLjEuOSAyIDIgMmgxOGMxLjEgMCAyLS45IDItMlY1YzAtMS4xLS45LTItMi0yem0wIDE2SDNWNWgxMHY0aDh2MTB6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-table-rows: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik0yMSw4SDNWNGgxOFY4eiBNMjEsMTBIM3Y0aDE4VjEweiBNMjEsMTZIM3Y0aDE4VjE2eiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-tag: url(data:image/svg+xml;base64,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);
+  --jp-icon-terminal: url(data:image/svg+xml;base64,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);
+  --jp-icon-text-editor: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtdGV4dC1lZGl0b3ItaWNvbi1jb2xvciBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xNSAxNUgzdjJoMTJ2LTJ6bTAtOEgzdjJoMTJWN3pNMyAxM2gxOHYtMkgzdjJ6bTAgOGgxOHYtMkgzdjJ6TTMgM3YyaDE4VjNIM3oiLz4KPC9zdmc+Cg==);
+  --jp-icon-toc: url(data:image/svg+xml;base64,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);
+  --jp-icon-tree-view: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik0yMiAxMVYzaC03djNIOVYzSDJ2OGg3VjhoMnYxMGg0djNoN3YtOGgtN3YzaC0yVjhoMnYzeiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-trusted: url(data:image/svg+xml;base64,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);
+  --jp-icon-undo: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyLjUgOGMtMi42NSAwLTUuMDUuOTktNi45IDIuNkwyIDd2OWg5bC0zLjYyLTMuNjJjMS4zOS0xLjE2IDMuMTYtMS44OCA1LjEyLTEuODggMy41NCAwIDYuNTUgMi4zMSA3LjYgNS41bDIuMzctLjc4QzIxLjA4IDExLjAzIDE3LjE1IDggMTIuNSA4eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-user: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMTYiIHZpZXdCb3g9IjAgMCAyNCAyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE2IDdhNCA0IDAgMTEtOCAwIDQgNCAwIDAxOCAwek0xMiAxNGE3IDcgMCAwMC03IDdoMTRhNyA3IDAgMDAtNy03eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-users: url(data:image/svg+xml;base64,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);
+  --jp-icon-vega: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtaWNvbjEganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjMjEyMTIxIj4KICAgIDxwYXRoIGQ9Ik0xMC42IDUuNGwyLjItMy4ySDIuMnY3LjNsNC02LjZ6Ii8+CiAgICA8cGF0aCBkPSJNMTUuOCAyLjJsLTQuNCA2LjZMNyA2LjNsLTQuOCA4djUuNWgxNy42VjIuMmgtNHptLTcgMTUuNEg1LjV2LTQuNGgzLjN2NC40em00LjQgMEg5LjhWOS44aDMuNHY3Ljh6bTQuNCAwaC0zLjRWNi41aDMuNHYxMS4xeiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-word: url(data:image/svg+xml;base64,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);
+  --jp-icon-yaml: url(data:image/svg+xml;base64,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);
+}
+
+/* Icon CSS class declarations */
+
+.jp-AddAboveIcon {
+  background-image: var(--jp-icon-add-above);
+}
+
+.jp-AddBelowIcon {
+  background-image: var(--jp-icon-add-below);
+}
+
+.jp-AddIcon {
+  background-image: var(--jp-icon-add);
+}
+
+.jp-BellIcon {
+  background-image: var(--jp-icon-bell);
+}
+
+.jp-BugDotIcon {
+  background-image: var(--jp-icon-bug-dot);
+}
+
+.jp-BugIcon {
+  background-image: var(--jp-icon-bug);
+}
+
+.jp-BuildIcon {
+  background-image: var(--jp-icon-build);
+}
+
+.jp-CaretDownEmptyIcon {
+  background-image: var(--jp-icon-caret-down-empty);
+}
+
+.jp-CaretDownEmptyThinIcon {
+  background-image: var(--jp-icon-caret-down-empty-thin);
+}
+
+.jp-CaretDownIcon {
+  background-image: var(--jp-icon-caret-down);
+}
+
+.jp-CaretLeftIcon {
+  background-image: var(--jp-icon-caret-left);
+}
+
+.jp-CaretRightIcon {
+  background-image: var(--jp-icon-caret-right);
+}
+
+.jp-CaretUpEmptyThinIcon {
+  background-image: var(--jp-icon-caret-up-empty-thin);
+}
+
+.jp-CaretUpIcon {
+  background-image: var(--jp-icon-caret-up);
+}
+
+.jp-CaseSensitiveIcon {
+  background-image: var(--jp-icon-case-sensitive);
+}
+
+.jp-CheckIcon {
+  background-image: var(--jp-icon-check);
+}
+
+.jp-CircleEmptyIcon {
+  background-image: var(--jp-icon-circle-empty);
+}
+
+.jp-CircleIcon {
+  background-image: var(--jp-icon-circle);
+}
+
+.jp-ClearIcon {
+  background-image: var(--jp-icon-clear);
+}
+
+.jp-CloseIcon {
+  background-image: var(--jp-icon-close);
+}
+
+.jp-CodeCheckIcon {
+  background-image: var(--jp-icon-code-check);
+}
+
+.jp-CodeIcon {
+  background-image: var(--jp-icon-code);
+}
+
+.jp-CollapseAllIcon {
+  background-image: var(--jp-icon-collapse-all);
+}
+
+.jp-ConsoleIcon {
+  background-image: var(--jp-icon-console);
+}
+
+.jp-CopyIcon {
+  background-image: var(--jp-icon-copy);
+}
+
+.jp-CopyrightIcon {
+  background-image: var(--jp-icon-copyright);
+}
+
+.jp-CutIcon {
+  background-image: var(--jp-icon-cut);
+}
+
+.jp-DeleteIcon {
+  background-image: var(--jp-icon-delete);
+}
+
+.jp-DownloadIcon {
+  background-image: var(--jp-icon-download);
+}
+
+.jp-DuplicateIcon {
+  background-image: var(--jp-icon-duplicate);
+}
+
+.jp-EditIcon {
+  background-image: var(--jp-icon-edit);
+}
+
+.jp-EllipsesIcon {
+  background-image: var(--jp-icon-ellipses);
+}
+
+.jp-ErrorIcon {
+  background-image: var(--jp-icon-error);
+}
+
+.jp-ExpandAllIcon {
+  background-image: var(--jp-icon-expand-all);
+}
+
+.jp-ExtensionIcon {
+  background-image: var(--jp-icon-extension);
+}
+
+.jp-FastForwardIcon {
+  background-image: var(--jp-icon-fast-forward);
+}
+
+.jp-FileIcon {
+  background-image: var(--jp-icon-file);
+}
+
+.jp-FileUploadIcon {
+  background-image: var(--jp-icon-file-upload);
+}
+
+.jp-FilterDotIcon {
+  background-image: var(--jp-icon-filter-dot);
+}
+
+.jp-FilterIcon {
+  background-image: var(--jp-icon-filter);
+}
+
+.jp-FilterListIcon {
+  background-image: var(--jp-icon-filter-list);
+}
+
+.jp-FolderFavoriteIcon {
+  background-image: var(--jp-icon-folder-favorite);
+}
+
+.jp-FolderIcon {
+  background-image: var(--jp-icon-folder);
+}
+
+.jp-HomeIcon {
+  background-image: var(--jp-icon-home);
+}
+
+.jp-Html5Icon {
+  background-image: var(--jp-icon-html5);
+}
+
+.jp-ImageIcon {
+  background-image: var(--jp-icon-image);
+}
+
+.jp-InfoIcon {
+  background-image: var(--jp-icon-info);
+}
+
+.jp-InspectorIcon {
+  background-image: var(--jp-icon-inspector);
+}
+
+.jp-JsonIcon {
+  background-image: var(--jp-icon-json);
+}
+
+.jp-JuliaIcon {
+  background-image: var(--jp-icon-julia);
+}
+
+.jp-JupyterFaviconIcon {
+  background-image: var(--jp-icon-jupyter-favicon);
+}
+
+.jp-JupyterIcon {
+  background-image: var(--jp-icon-jupyter);
+}
+
+.jp-JupyterlabWordmarkIcon {
+  background-image: var(--jp-icon-jupyterlab-wordmark);
+}
+
+.jp-KernelIcon {
+  background-image: var(--jp-icon-kernel);
+}
+
+.jp-KeyboardIcon {
+  background-image: var(--jp-icon-keyboard);
+}
+
+.jp-LaunchIcon {
+  background-image: var(--jp-icon-launch);
+}
+
+.jp-LauncherIcon {
+  background-image: var(--jp-icon-launcher);
+}
+
+.jp-LineFormIcon {
+  background-image: var(--jp-icon-line-form);
+}
+
+.jp-LinkIcon {
+  background-image: var(--jp-icon-link);
+}
+
+.jp-ListIcon {
+  background-image: var(--jp-icon-list);
+}
+
+.jp-MarkdownIcon {
+  background-image: var(--jp-icon-markdown);
+}
+
+.jp-MoveDownIcon {
+  background-image: var(--jp-icon-move-down);
+}
+
+.jp-MoveUpIcon {
+  background-image: var(--jp-icon-move-up);
+}
+
+.jp-NewFolderIcon {
+  background-image: var(--jp-icon-new-folder);
+}
+
+.jp-NotTrustedIcon {
+  background-image: var(--jp-icon-not-trusted);
+}
+
+.jp-NotebookIcon {
+  background-image: var(--jp-icon-notebook);
+}
+
+.jp-NumberingIcon {
+  background-image: var(--jp-icon-numbering);
+}
+
+.jp-OfflineBoltIcon {
+  background-image: var(--jp-icon-offline-bolt);
+}
+
+.jp-PaletteIcon {
+  background-image: var(--jp-icon-palette);
+}
+
+.jp-PasteIcon {
+  background-image: var(--jp-icon-paste);
+}
+
+.jp-PdfIcon {
+  background-image: var(--jp-icon-pdf);
+}
+
+.jp-PythonIcon {
+  background-image: var(--jp-icon-python);
+}
+
+.jp-RKernelIcon {
+  background-image: var(--jp-icon-r-kernel);
+}
+
+.jp-ReactIcon {
+  background-image: var(--jp-icon-react);
+}
+
+.jp-RedoIcon {
+  background-image: var(--jp-icon-redo);
+}
+
+.jp-RefreshIcon {
+  background-image: var(--jp-icon-refresh);
+}
+
+.jp-RegexIcon {
+  background-image: var(--jp-icon-regex);
+}
+
+.jp-RunIcon {
+  background-image: var(--jp-icon-run);
+}
+
+.jp-RunningIcon {
+  background-image: var(--jp-icon-running);
+}
+
+.jp-SaveIcon {
+  background-image: var(--jp-icon-save);
+}
+
+.jp-SearchIcon {
+  background-image: var(--jp-icon-search);
+}
+
+.jp-SettingsIcon {
+  background-image: var(--jp-icon-settings);
+}
+
+.jp-ShareIcon {
+  background-image: var(--jp-icon-share);
+}
+
+.jp-SpreadsheetIcon {
+  background-image: var(--jp-icon-spreadsheet);
+}
+
+.jp-StopIcon {
+  background-image: var(--jp-icon-stop);
+}
+
+.jp-TabIcon {
+  background-image: var(--jp-icon-tab);
+}
+
+.jp-TableRowsIcon {
+  background-image: var(--jp-icon-table-rows);
+}
+
+.jp-TagIcon {
+  background-image: var(--jp-icon-tag);
+}
+
+.jp-TerminalIcon {
+  background-image: var(--jp-icon-terminal);
+}
+
+.jp-TextEditorIcon {
+  background-image: var(--jp-icon-text-editor);
+}
+
+.jp-TocIcon {
+  background-image: var(--jp-icon-toc);
+}
+
+.jp-TreeViewIcon {
+  background-image: var(--jp-icon-tree-view);
+}
+
+.jp-TrustedIcon {
+  background-image: var(--jp-icon-trusted);
+}
+
+.jp-UndoIcon {
+  background-image: var(--jp-icon-undo);
+}
+
+.jp-UserIcon {
+  background-image: var(--jp-icon-user);
+}
+
+.jp-UsersIcon {
+  background-image: var(--jp-icon-users);
+}
+
+.jp-VegaIcon {
+  background-image: var(--jp-icon-vega);
+}
+
+.jp-WordIcon {
+  background-image: var(--jp-icon-word);
+}
+
+.jp-YamlIcon {
+  background-image: var(--jp-icon-yaml);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/**
+ * (DEPRECATED) Support for consuming icons as CSS background images
+ */
+
+.jp-Icon,
+.jp-MaterialIcon {
+  background-position: center;
+  background-repeat: no-repeat;
+  background-size: 16px;
+  min-width: 16px;
+  min-height: 16px;
+}
+
+.jp-Icon-cover {
+  background-position: center;
+  background-repeat: no-repeat;
+  background-size: cover;
+}
+
+/**
+ * (DEPRECATED) Support for specific CSS icon sizes
+ */
+
+.jp-Icon-16 {
+  background-size: 16px;
+  min-width: 16px;
+  min-height: 16px;
+}
+
+.jp-Icon-18 {
+  background-size: 18px;
+  min-width: 18px;
+  min-height: 18px;
+}
+
+.jp-Icon-20 {
+  background-size: 20px;
+  min-width: 20px;
+  min-height: 20px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.lm-TabBar .lm-TabBar-addButton {
+  align-items: center;
+  display: flex;
+  padding: 4px;
+  padding-bottom: 5px;
+  margin-right: 1px;
+  background-color: var(--jp-layout-color2);
+}
+
+.lm-TabBar .lm-TabBar-addButton:hover {
+  background-color: var(--jp-layout-color1);
+}
+
+.lm-DockPanel-tabBar .lm-TabBar-tab {
+  width: var(--jp-private-horizontal-tab-width);
+}
+
+.lm-DockPanel-tabBar .lm-TabBar-content {
+  flex: unset;
+}
+
+.lm-DockPanel-tabBar[data-orientation='horizontal'] {
+  flex: 1 1 auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/**
+ * Support for icons as inline SVG HTMLElements
+ */
+
+/* recolor the primary elements of an icon */
+.jp-icon0[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon1[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon2[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon3[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon4[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon0[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon1[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon2[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon3[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon4[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/* recolor the accent elements of an icon */
+.jp-icon-accent0[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.jp-icon-accent1[fill] {
+  fill: var(--jp-layout-color1);
+}
+
+.jp-icon-accent2[fill] {
+  fill: var(--jp-layout-color2);
+}
+
+.jp-icon-accent3[fill] {
+  fill: var(--jp-layout-color3);
+}
+
+.jp-icon-accent4[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-accent0[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-accent1[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-accent2[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-accent3[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-accent4[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* set the color of an icon to transparent */
+.jp-icon-none[fill] {
+  fill: none;
+}
+
+.jp-icon-none[stroke] {
+  stroke: none;
+}
+
+/* brand icon colors. Same for light and dark */
+.jp-icon-brand0[fill] {
+  fill: var(--jp-brand-color0);
+}
+
+.jp-icon-brand1[fill] {
+  fill: var(--jp-brand-color1);
+}
+
+.jp-icon-brand2[fill] {
+  fill: var(--jp-brand-color2);
+}
+
+.jp-icon-brand3[fill] {
+  fill: var(--jp-brand-color3);
+}
+
+.jp-icon-brand4[fill] {
+  fill: var(--jp-brand-color4);
+}
+
+.jp-icon-brand0[stroke] {
+  stroke: var(--jp-brand-color0);
+}
+
+.jp-icon-brand1[stroke] {
+  stroke: var(--jp-brand-color1);
+}
+
+.jp-icon-brand2[stroke] {
+  stroke: var(--jp-brand-color2);
+}
+
+.jp-icon-brand3[stroke] {
+  stroke: var(--jp-brand-color3);
+}
+
+.jp-icon-brand4[stroke] {
+  stroke: var(--jp-brand-color4);
+}
+
+/* warn icon colors. Same for light and dark */
+.jp-icon-warn0[fill] {
+  fill: var(--jp-warn-color0);
+}
+
+.jp-icon-warn1[fill] {
+  fill: var(--jp-warn-color1);
+}
+
+.jp-icon-warn2[fill] {
+  fill: var(--jp-warn-color2);
+}
+
+.jp-icon-warn3[fill] {
+  fill: var(--jp-warn-color3);
+}
+
+.jp-icon-warn0[stroke] {
+  stroke: var(--jp-warn-color0);
+}
+
+.jp-icon-warn1[stroke] {
+  stroke: var(--jp-warn-color1);
+}
+
+.jp-icon-warn2[stroke] {
+  stroke: var(--jp-warn-color2);
+}
+
+.jp-icon-warn3[stroke] {
+  stroke: var(--jp-warn-color3);
+}
+
+/* icon colors that contrast well with each other and most backgrounds */
+.jp-icon-contrast0[fill] {
+  fill: var(--jp-icon-contrast-color0);
+}
+
+.jp-icon-contrast1[fill] {
+  fill: var(--jp-icon-contrast-color1);
+}
+
+.jp-icon-contrast2[fill] {
+  fill: var(--jp-icon-contrast-color2);
+}
+
+.jp-icon-contrast3[fill] {
+  fill: var(--jp-icon-contrast-color3);
+}
+
+.jp-icon-contrast0[stroke] {
+  stroke: var(--jp-icon-contrast-color0);
+}
+
+.jp-icon-contrast1[stroke] {
+  stroke: var(--jp-icon-contrast-color1);
+}
+
+.jp-icon-contrast2[stroke] {
+  stroke: var(--jp-icon-contrast-color2);
+}
+
+.jp-icon-contrast3[stroke] {
+  stroke: var(--jp-icon-contrast-color3);
+}
+
+.jp-icon-dot[fill] {
+  fill: var(--jp-warn-color0);
+}
+
+.jp-jupyter-icon-color[fill] {
+  fill: var(--jp-jupyter-icon-color, var(--jp-warn-color0));
+}
+
+.jp-notebook-icon-color[fill] {
+  fill: var(--jp-notebook-icon-color, var(--jp-warn-color0));
+}
+
+.jp-json-icon-color[fill] {
+  fill: var(--jp-json-icon-color, var(--jp-warn-color1));
+}
+
+.jp-console-icon-color[fill] {
+  fill: var(--jp-console-icon-color, white);
+}
+
+.jp-console-icon-background-color[fill] {
+  fill: var(--jp-console-icon-background-color, var(--jp-brand-color1));
+}
+
+.jp-terminal-icon-color[fill] {
+  fill: var(--jp-terminal-icon-color, var(--jp-layout-color2));
+}
+
+.jp-terminal-icon-background-color[fill] {
+  fill: var(
+    --jp-terminal-icon-background-color,
+    var(--jp-inverse-layout-color2)
+  );
+}
+
+.jp-text-editor-icon-color[fill] {
+  fill: var(--jp-text-editor-icon-color, var(--jp-inverse-layout-color3));
+}
+
+.jp-inspector-icon-color[fill] {
+  fill: var(--jp-inspector-icon-color, var(--jp-inverse-layout-color3));
+}
+
+/* CSS for icons in selected filebrowser listing items */
+.jp-DirListing-item.jp-mod-selected .jp-icon-selectable[fill] {
+  fill: #fff;
+}
+
+.jp-DirListing-item.jp-mod-selected .jp-icon-selectable-inverse[fill] {
+  fill: var(--jp-brand-color1);
+}
+
+/* stylelint-disable selector-max-class, selector-max-compound-selectors */
+
+/**
+* TODO: come up with non css-hack solution for showing the busy icon on top
+*  of the close icon
+* CSS for complex behavior of close icon of tabs in the main area tabbar
+*/
+.lm-DockPanel-tabBar
+  .lm-TabBar-tab.lm-mod-closable.jp-mod-dirty
+  > .lm-TabBar-tabCloseIcon
+  > :not(:hover)
+  > .jp-icon3[fill] {
+  fill: none;
+}
+
+.lm-DockPanel-tabBar
+  .lm-TabBar-tab.lm-mod-closable.jp-mod-dirty
+  > .lm-TabBar-tabCloseIcon
+  > :not(:hover)
+  > .jp-icon-busy[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+/* stylelint-enable selector-max-class, selector-max-compound-selectors */
+
+/* CSS for icons in status bar */
+#jp-main-statusbar .jp-mod-selected .jp-icon-selectable[fill] {
+  fill: #fff;
+}
+
+#jp-main-statusbar .jp-mod-selected .jp-icon-selectable-inverse[fill] {
+  fill: var(--jp-brand-color1);
+}
+
+/* special handling for splash icon CSS. While the theme CSS reloads during
+   splash, the splash icon can loose theming. To prevent that, we set a
+   default for its color variable */
+:root {
+  --jp-warn-color0: var(--md-orange-700);
+}
+
+/* not sure what to do with this one, used in filebrowser listing */
+.jp-DragIcon {
+  margin-right: 4px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/**
+ * Support for alt colors for icons as inline SVG HTMLElements
+ */
+
+/* alt recolor the primary elements of an icon */
+.jp-icon-alt .jp-icon0[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.jp-icon-alt .jp-icon1[fill] {
+  fill: var(--jp-layout-color1);
+}
+
+.jp-icon-alt .jp-icon2[fill] {
+  fill: var(--jp-layout-color2);
+}
+
+.jp-icon-alt .jp-icon3[fill] {
+  fill: var(--jp-layout-color3);
+}
+
+.jp-icon-alt .jp-icon4[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-alt .jp-icon0[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-alt .jp-icon1[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-alt .jp-icon2[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-alt .jp-icon3[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-alt .jp-icon4[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* alt recolor the accent elements of an icon */
+.jp-icon-alt .jp-icon-accent0[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-alt .jp-icon-accent1[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-alt .jp-icon-accent2[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-alt .jp-icon-accent3[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-alt .jp-icon-accent4[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon-alt .jp-icon-accent0[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-alt .jp-icon-accent1[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-alt .jp-icon-accent2[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-alt .jp-icon-accent3[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-alt .jp-icon-accent4[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-icon-hoverShow:not(:hover) .jp-icon-hoverShow-content {
+  display: none !important;
+}
+
+/**
+ * Support for hover colors for icons as inline SVG HTMLElements
+ */
+
+/**
+ * regular colors
+ */
+
+/* recolor the primary elements of an icon */
+.jp-icon-hover :hover .jp-icon0-hover[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon1-hover[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon2-hover[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon3-hover[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon4-hover[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon-hover :hover .jp-icon0-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon1-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon2-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon3-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon4-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/* recolor the accent elements of an icon */
+.jp-icon-hover :hover .jp-icon-accent0-hover[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon-accent1-hover[fill] {
+  fill: var(--jp-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon-accent2-hover[fill] {
+  fill: var(--jp-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon-accent3-hover[fill] {
+  fill: var(--jp-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon-accent4-hover[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-hover :hover .jp-icon-accent0-hover[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon-accent1-hover[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon-accent2-hover[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon-accent3-hover[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon-accent4-hover[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* set the color of an icon to transparent */
+.jp-icon-hover :hover .jp-icon-none-hover[fill] {
+  fill: none;
+}
+
+.jp-icon-hover :hover .jp-icon-none-hover[stroke] {
+  stroke: none;
+}
+
+/**
+ * inverse colors
+ */
+
+/* inverse recolor the primary elements of an icon */
+.jp-icon-hover.jp-icon-alt :hover .jp-icon0-hover[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon1-hover[fill] {
+  fill: var(--jp-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon2-hover[fill] {
+  fill: var(--jp-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon3-hover[fill] {
+  fill: var(--jp-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon4-hover[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon0-hover[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon1-hover[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon2-hover[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon3-hover[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon4-hover[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* inverse recolor the accent elements of an icon */
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent0-hover[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent1-hover[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent2-hover[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent3-hover[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent4-hover[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent0-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent1-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent2-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent3-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent4-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-IFrame {
+  width: 100%;
+  height: 100%;
+}
+
+.jp-IFrame > iframe {
+  border: none;
+}
+
+/*
+When drag events occur, `lm-mod-override-cursor` is added to the body.
+Because iframes steal all cursor events, the following two rules are necessary
+to suppress pointer events while resize drags are occurring. There may be a
+better solution to this problem.
+*/
+body.lm-mod-override-cursor .jp-IFrame {
+  position: relative;
+}
+
+body.lm-mod-override-cursor .jp-IFrame::before {
+  content: '';
+  position: absolute;
+  top: 0;
+  left: 0;
+  right: 0;
+  bottom: 0;
+  background: transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-HoverBox {
+  position: fixed;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-FormGroup-content fieldset {
+  border: none;
+  padding: 0;
+  min-width: 0;
+  width: 100%;
+}
+
+/* stylelint-disable selector-max-type */
+
+.jp-FormGroup-content fieldset .jp-inputFieldWrapper input,
+.jp-FormGroup-content fieldset .jp-inputFieldWrapper select,
+.jp-FormGroup-content fieldset .jp-inputFieldWrapper textarea {
+  font-size: var(--jp-content-font-size2);
+  border-color: var(--jp-input-border-color);
+  border-style: solid;
+  border-radius: var(--jp-border-radius);
+  border-width: 1px;
+  padding: 6px 8px;
+  background: none;
+  color: var(--jp-ui-font-color0);
+  height: inherit;
+}
+
+.jp-FormGroup-content fieldset input[type='checkbox'] {
+  position: relative;
+  top: 2px;
+  margin-left: 0;
+}
+
+.jp-FormGroup-content button.jp-mod-styled {
+  cursor: pointer;
+}
+
+.jp-FormGroup-content .checkbox label {
+  cursor: pointer;
+  font-size: var(--jp-content-font-size1);
+}
+
+.jp-FormGroup-content .jp-root > fieldset > legend {
+  display: none;
+}
+
+.jp-FormGroup-content .jp-root > fieldset > p {
+  display: none;
+}
+
+/** copy of `input.jp-mod-styled:focus` style */
+.jp-FormGroup-content fieldset input:focus,
+.jp-FormGroup-content fieldset select:focus {
+  -moz-outline-radius: unset;
+  outline: var(--jp-border-width) solid var(--md-blue-500);
+  outline-offset: -1px;
+  box-shadow: inset 0 0 4px var(--md-blue-300);
+}
+
+.jp-FormGroup-content fieldset input:hover:not(:focus),
+.jp-FormGroup-content fieldset select:hover:not(:focus) {
+  background-color: var(--jp-border-color2);
+}
+
+/* stylelint-enable selector-max-type */
+
+.jp-FormGroup-content .checkbox .field-description {
+  /* Disable default description field for checkbox:
+   because other widgets do not have description fields,
+   we add descriptions to each widget on the field level.
+  */
+  display: none;
+}
+
+.jp-FormGroup-content #root__description {
+  display: none;
+}
+
+.jp-FormGroup-content .jp-modifiedIndicator {
+  width: 5px;
+  background-color: var(--jp-brand-color2);
+  margin-top: 0;
+  margin-left: calc(var(--jp-private-settingeditor-modifier-indent) * -1);
+  flex-shrink: 0;
+}
+
+.jp-FormGroup-content .jp-modifiedIndicator.jp-errorIndicator {
+  background-color: var(--jp-error-color0);
+  margin-right: 0.5em;
+}
+
+/* RJSF ARRAY style */
+
+.jp-arrayFieldWrapper legend {
+  font-size: var(--jp-content-font-size2);
+  color: var(--jp-ui-font-color0);
+  flex-basis: 100%;
+  padding: 4px 0;
+  font-weight: var(--jp-content-heading-font-weight);
+  border-bottom: 1px solid var(--jp-border-color2);
+}
+
+.jp-arrayFieldWrapper .field-description {
+  padding: 4px 0;
+  white-space: pre-wrap;
+}
+
+.jp-arrayFieldWrapper .array-item {
+  width: 100%;
+  border: 1px solid var(--jp-border-color2);
+  border-radius: 4px;
+  margin: 4px;
+}
+
+.jp-ArrayOperations {
+  display: flex;
+  margin-left: 8px;
+}
+
+.jp-ArrayOperationsButton {
+  margin: 2px;
+}
+
+.jp-ArrayOperationsButton .jp-icon3[fill] {
+  fill: var(--jp-ui-font-color0);
+}
+
+button.jp-ArrayOperationsButton.jp-mod-styled:disabled {
+  cursor: not-allowed;
+  opacity: 0.5;
+}
+
+/* RJSF form validation error */
+
+.jp-FormGroup-content .validationErrors {
+  color: var(--jp-error-color0);
+}
+
+/* Hide panel level error as duplicated the field level error */
+.jp-FormGroup-content .panel.errors {
+  display: none;
+}
+
+/* RJSF normal content (settings-editor) */
+
+.jp-FormGroup-contentNormal {
+  display: flex;
+  align-items: center;
+  flex-wrap: wrap;
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-contentItem {
+  margin-left: 7px;
+  color: var(--jp-ui-font-color0);
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-description {
+  flex-basis: 100%;
+  padding: 4px 7px;
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-default {
+  flex-basis: 100%;
+  padding: 4px 7px;
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-fieldLabel {
+  font-size: var(--jp-content-font-size1);
+  font-weight: normal;
+  min-width: 120px;
+}
+
+.jp-FormGroup-contentNormal fieldset:not(:first-child) {
+  margin-left: 7px;
+}
+
+.jp-FormGroup-contentNormal .field-array-of-string .array-item {
+  /* Display `jp-ArrayOperations` buttons side-by-side with content except
+    for small screens where flex-wrap will place them one below the other.
+  */
+  display: flex;
+  align-items: center;
+  flex-wrap: wrap;
+}
+
+.jp-FormGroup-contentNormal .jp-objectFieldWrapper .form-group {
+  padding: 2px 8px 2px var(--jp-private-settingeditor-modifier-indent);
+  margin-top: 2px;
+}
+
+/* RJSF compact content (metadata-form) */
+
+.jp-FormGroup-content.jp-FormGroup-contentCompact {
+  width: 100%;
+}
+
+.jp-FormGroup-contentCompact .form-group {
+  display: flex;
+  padding: 0.5em 0.2em 0.5em 0;
+}
+
+.jp-FormGroup-contentCompact
+  .jp-FormGroup-compactTitle
+  .jp-FormGroup-description {
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-FormGroup-contentCompact .jp-FormGroup-fieldLabel {
+  padding-bottom: 0.3em;
+}
+
+.jp-FormGroup-contentCompact .jp-inputFieldWrapper .form-control {
+  width: 100%;
+  box-sizing: border-box;
+}
+
+.jp-FormGroup-contentCompact .jp-arrayFieldWrapper .jp-FormGroup-compactTitle {
+  padding-bottom: 7px;
+}
+
+.jp-FormGroup-contentCompact
+  .jp-objectFieldWrapper
+  .jp-objectFieldWrapper
+  .form-group {
+  padding: 2px 8px 2px var(--jp-private-settingeditor-modifier-indent);
+  margin-top: 2px;
+}
+
+.jp-FormGroup-contentCompact ul.error-detail {
+  margin-block-start: 0.5em;
+  margin-block-end: 0.5em;
+  padding-inline-start: 1em;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-SidePanel {
+  display: flex;
+  flex-direction: column;
+  min-width: var(--jp-sidebar-min-width);
+  overflow-y: auto;
+  color: var(--jp-ui-font-color1);
+  background: var(--jp-layout-color1);
+  font-size: var(--jp-ui-font-size1);
+}
+
+.jp-SidePanel-header {
+  flex: 0 0 auto;
+  display: flex;
+  border-bottom: var(--jp-border-width) solid var(--jp-border-color2);
+  font-size: var(--jp-ui-font-size0);
+  font-weight: 600;
+  letter-spacing: 1px;
+  margin: 0;
+  padding: 2px;
+  text-transform: uppercase;
+}
+
+.jp-SidePanel-toolbar {
+  flex: 0 0 auto;
+}
+
+.jp-SidePanel-content {
+  flex: 1 1 auto;
+}
+
+.jp-SidePanel-toolbar,
+.jp-AccordionPanel-toolbar {
+  height: var(--jp-private-toolbar-height);
+}
+
+.jp-SidePanel-toolbar.jp-Toolbar-micro {
+  display: none;
+}
+
+.lm-AccordionPanel .jp-AccordionPanel-title {
+  box-sizing: border-box;
+  line-height: 25px;
+  margin: 0;
+  display: flex;
+  align-items: center;
+  background: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  font-size: var(--jp-ui-font-size0);
+}
+
+.jp-AccordionPanel-title {
+  cursor: pointer;
+  user-select: none;
+  -moz-user-select: none;
+  -webkit-user-select: none;
+  text-transform: uppercase;
+}
+
+.lm-AccordionPanel[data-orientation='horizontal'] > .jp-AccordionPanel-title {
+  /* Title is rotated for horizontal accordion panel using CSS */
+  display: block;
+  transform-origin: top left;
+  transform: rotate(-90deg) translate(-100%);
+}
+
+.jp-AccordionPanel-title .lm-AccordionPanel-titleLabel {
+  user-select: none;
+  text-overflow: ellipsis;
+  white-space: nowrap;
+  overflow: hidden;
+}
+
+.jp-AccordionPanel-title .lm-AccordionPanel-titleCollapser {
+  transform: rotate(-90deg);
+  margin: auto 0;
+  height: 16px;
+}
+
+.jp-AccordionPanel-title.lm-mod-expanded .lm-AccordionPanel-titleCollapser {
+  transform: rotate(0deg);
+}
+
+.lm-AccordionPanel .jp-AccordionPanel-toolbar {
+  background: none;
+  box-shadow: none;
+  border: none;
+  margin-left: auto;
+}
+
+.lm-AccordionPanel .lm-SplitPanel-handle:hover {
+  background: var(--jp-layout-color3);
+}
+
+.jp-text-truncated {
+  overflow: hidden;
+  text-overflow: ellipsis;
+  white-space: nowrap;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Spinner {
+  position: absolute;
+  display: flex;
+  justify-content: center;
+  align-items: center;
+  z-index: 10;
+  left: 0;
+  top: 0;
+  width: 100%;
+  height: 100%;
+  background: var(--jp-layout-color0);
+  outline: none;
+}
+
+.jp-SpinnerContent {
+  font-size: 10px;
+  margin: 50px auto;
+  text-indent: -9999em;
+  width: 3em;
+  height: 3em;
+  border-radius: 50%;
+  background: var(--jp-brand-color3);
+  background: linear-gradient(
+    to right,
+    #f37626 10%,
+    rgba(255, 255, 255, 0) 42%
+  );
+  position: relative;
+  animation: load3 1s infinite linear, fadeIn 1s;
+}
+
+.jp-SpinnerContent::before {
+  width: 50%;
+  height: 50%;
+  background: #f37626;
+  border-radius: 100% 0 0;
+  position: absolute;
+  top: 0;
+  left: 0;
+  content: '';
+}
+
+.jp-SpinnerContent::after {
+  background: var(--jp-layout-color0);
+  width: 75%;
+  height: 75%;
+  border-radius: 50%;
+  content: '';
+  margin: auto;
+  position: absolute;
+  top: 0;
+  left: 0;
+  bottom: 0;
+  right: 0;
+}
+
+@keyframes fadeIn {
+  0% {
+    opacity: 0;
+  }
+
+  100% {
+    opacity: 1;
+  }
+}
+
+@keyframes load3 {
+  0% {
+    transform: rotate(0deg);
+  }
+
+  100% {
+    transform: rotate(360deg);
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+button.jp-mod-styled {
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color0);
+  border: none;
+  box-sizing: border-box;
+  text-align: center;
+  line-height: 32px;
+  height: 32px;
+  padding: 0 12px;
+  letter-spacing: 0.8px;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+}
+
+input.jp-mod-styled {
+  background: var(--jp-input-background);
+  height: 28px;
+  box-sizing: border-box;
+  border: var(--jp-border-width) solid var(--jp-border-color1);
+  padding-left: 7px;
+  padding-right: 7px;
+  font-size: var(--jp-ui-font-size2);
+  color: var(--jp-ui-font-color0);
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+}
+
+input[type='checkbox'].jp-mod-styled {
+  appearance: checkbox;
+  -webkit-appearance: checkbox;
+  -moz-appearance: checkbox;
+  height: auto;
+}
+
+input.jp-mod-styled:focus {
+  border: var(--jp-border-width) solid var(--md-blue-500);
+  box-shadow: inset 0 0 4px var(--md-blue-300);
+}
+
+.jp-select-wrapper {
+  display: flex;
+  position: relative;
+  flex-direction: column;
+  padding: 1px;
+  background-color: var(--jp-layout-color1);
+  box-sizing: border-box;
+  margin-bottom: 12px;
+}
+
+.jp-select-wrapper:not(.multiple) {
+  height: 28px;
+}
+
+.jp-select-wrapper.jp-mod-focused select.jp-mod-styled {
+  border: var(--jp-border-width) solid var(--jp-input-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+  background-color: var(--jp-input-active-background);
+}
+
+select.jp-mod-styled:hover {
+  cursor: pointer;
+  color: var(--jp-ui-font-color0);
+  background-color: var(--jp-input-hover-background);
+  box-shadow: inset 0 0 1px rgba(0, 0, 0, 0.5);
+}
+
+select.jp-mod-styled {
+  flex: 1 1 auto;
+  width: 100%;
+  font-size: var(--jp-ui-font-size2);
+  background: var(--jp-input-background);
+  color: var(--jp-ui-font-color0);
+  padding: 0 25px 0 8px;
+  border: var(--jp-border-width) solid var(--jp-input-border-color);
+  border-radius: 0;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+}
+
+select.jp-mod-styled:not([multiple]) {
+  height: 32px;
+}
+
+select.jp-mod-styled[multiple] {
+  max-height: 200px;
+  overflow-y: auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-switch {
+  display: flex;
+  align-items: center;
+  padding-left: 4px;
+  padding-right: 4px;
+  font-size: var(--jp-ui-font-size1);
+  background-color: transparent;
+  color: var(--jp-ui-font-color1);
+  border: none;
+  height: 20px;
+}
+
+.jp-switch:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-switch-label {
+  margin-right: 5px;
+  font-family: var(--jp-ui-font-family);
+}
+
+.jp-switch-track {
+  cursor: pointer;
+  background-color: var(--jp-switch-color, var(--jp-border-color1));
+  -webkit-transition: 0.4s;
+  transition: 0.4s;
+  border-radius: 34px;
+  height: 16px;
+  width: 35px;
+  position: relative;
+}
+
+.jp-switch-track::before {
+  content: '';
+  position: absolute;
+  height: 10px;
+  width: 10px;
+  margin: 3px;
+  left: 0;
+  background-color: var(--jp-ui-inverse-font-color1);
+  -webkit-transition: 0.4s;
+  transition: 0.4s;
+  border-radius: 50%;
+}
+
+.jp-switch[aria-checked='true'] .jp-switch-track {
+  background-color: var(--jp-switch-true-position-color, var(--jp-warn-color0));
+}
+
+.jp-switch[aria-checked='true'] .jp-switch-track::before {
+  /* track width (35) - margins (3 + 3) - thumb width (10) */
+  left: 19px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-toolbar-height: calc(
+    28px + var(--jp-border-width)
+  ); /* leave 28px for content */
+}
+
+.jp-Toolbar {
+  color: var(--jp-ui-font-color1);
+  flex: 0 0 auto;
+  display: flex;
+  flex-direction: row;
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  background: var(--jp-toolbar-background);
+  min-height: var(--jp-toolbar-micro-height);
+  padding: 2px;
+  z-index: 8;
+  overflow-x: hidden;
+}
+
+/* Toolbar items */
+
+.jp-Toolbar > .jp-Toolbar-item.jp-Toolbar-spacer {
+  flex-grow: 1;
+  flex-shrink: 1;
+}
+
+.jp-Toolbar-item.jp-Toolbar-kernelStatus {
+  display: inline-block;
+  width: 32px;
+  background-repeat: no-repeat;
+  background-position: center;
+  background-size: 16px;
+}
+
+.jp-Toolbar > .jp-Toolbar-item {
+  flex: 0 0 auto;
+  display: flex;
+  padding-left: 1px;
+  padding-right: 1px;
+  font-size: var(--jp-ui-font-size1);
+  line-height: var(--jp-private-toolbar-height);
+  height: 100%;
+}
+
+/* Toolbar buttons */
+
+/* This is the div we use to wrap the react component into a Widget */
+div.jp-ToolbarButton {
+  color: transparent;
+  border: none;
+  box-sizing: border-box;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+  padding: 0;
+  margin: 0;
+}
+
+button.jp-ToolbarButtonComponent {
+  background: var(--jp-layout-color1);
+  border: none;
+  box-sizing: border-box;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+  padding: 0 6px;
+  margin: 0;
+  height: 24px;
+  border-radius: var(--jp-border-radius);
+  display: flex;
+  align-items: center;
+  text-align: center;
+  font-size: 14px;
+  min-width: unset;
+  min-height: unset;
+}
+
+button.jp-ToolbarButtonComponent:disabled {
+  opacity: 0.4;
+}
+
+button.jp-ToolbarButtonComponent > span {
+  padding: 0;
+  flex: 0 0 auto;
+}
+
+button.jp-ToolbarButtonComponent .jp-ToolbarButtonComponent-label {
+  font-size: var(--jp-ui-font-size1);
+  line-height: 100%;
+  padding-left: 2px;
+  color: var(--jp-ui-font-color1);
+  font-family: var(--jp-ui-font-family);
+}
+
+#jp-main-dock-panel[data-mode='single-document']
+  .jp-MainAreaWidget
+  > .jp-Toolbar.jp-Toolbar-micro {
+  padding: 0;
+  min-height: 0;
+}
+
+#jp-main-dock-panel[data-mode='single-document']
+  .jp-MainAreaWidget
+  > .jp-Toolbar {
+  border: none;
+  box-shadow: none;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-WindowedPanel-outer {
+  position: relative;
+  overflow-y: auto;
+}
+
+.jp-WindowedPanel-inner {
+  position: relative;
+}
+
+.jp-WindowedPanel-window {
+  position: absolute;
+  left: 0;
+  right: 0;
+  overflow: visible;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/* Sibling imports */
+
+body {
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+}
+
+/* Disable native link decoration styles everywhere outside of dialog boxes */
+a {
+  text-decoration: unset;
+  color: unset;
+}
+
+a:hover {
+  text-decoration: unset;
+  color: unset;
+}
+
+/* Accessibility for links inside dialog box text */
+.jp-Dialog-content a {
+  text-decoration: revert;
+  color: var(--jp-content-link-color);
+}
+
+.jp-Dialog-content a:hover {
+  text-decoration: revert;
+}
+
+/* Styles for ui-components */
+.jp-Button {
+  color: var(--jp-ui-font-color2);
+  border-radius: var(--jp-border-radius);
+  padding: 0 12px;
+  font-size: var(--jp-ui-font-size1);
+
+  /* Copy from blueprint 3 */
+  display: inline-flex;
+  flex-direction: row;
+  border: none;
+  cursor: pointer;
+  align-items: center;
+  justify-content: center;
+  text-align: left;
+  vertical-align: middle;
+  min-height: 30px;
+  min-width: 30px;
+}
+
+.jp-Button:disabled {
+  cursor: not-allowed;
+}
+
+.jp-Button:empty {
+  padding: 0 !important;
+}
+
+.jp-Button.jp-mod-small {
+  min-height: 24px;
+  min-width: 24px;
+  font-size: 12px;
+  padding: 0 7px;
+}
+
+/* Use our own theme for hover styles */
+.jp-Button.jp-mod-minimal:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-Button.jp-mod-minimal {
+  background: none;
+}
+
+.jp-InputGroup {
+  display: block;
+  position: relative;
+}
+
+.jp-InputGroup input {
+  box-sizing: border-box;
+  border: none;
+  border-radius: 0;
+  background-color: transparent;
+  color: var(--jp-ui-font-color0);
+  box-shadow: inset 0 0 0 var(--jp-border-width) var(--jp-input-border-color);
+  padding-bottom: 0;
+  padding-top: 0;
+  padding-left: 10px;
+  padding-right: 28px;
+  position: relative;
+  width: 100%;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+  appearance: none;
+  font-size: 14px;
+  font-weight: 400;
+  height: 30px;
+  line-height: 30px;
+  outline: none;
+  vertical-align: middle;
+}
+
+.jp-InputGroup input:focus {
+  box-shadow: inset 0 0 0 var(--jp-border-width)
+      var(--jp-input-active-box-shadow-color),
+    inset 0 0 0 3px var(--jp-input-active-box-shadow-color);
+}
+
+.jp-InputGroup input:disabled {
+  cursor: not-allowed;
+  resize: block;
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-InputGroup input:disabled ~ span {
+  cursor: not-allowed;
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-InputGroup input::placeholder,
+input::placeholder {
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-InputGroupAction {
+  position: absolute;
+  bottom: 1px;
+  right: 0;
+  padding: 6px;
+}
+
+.jp-HTMLSelect.jp-DefaultStyle select {
+  background-color: initial;
+  border: none;
+  border-radius: 0;
+  box-shadow: none;
+  color: var(--jp-ui-font-color0);
+  display: block;
+  font-size: var(--jp-ui-font-size1);
+  font-family: var(--jp-ui-font-family);
+  height: 24px;
+  line-height: 14px;
+  padding: 0 25px 0 10px;
+  text-align: left;
+  -moz-appearance: none;
+  -webkit-appearance: none;
+}
+
+.jp-HTMLSelect.jp-DefaultStyle select:disabled {
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color2);
+  cursor: not-allowed;
+  resize: block;
+}
+
+.jp-HTMLSelect.jp-DefaultStyle select:disabled ~ span {
+  cursor: not-allowed;
+}
+
+/* Use our own theme for hover and option styles */
+/* stylelint-disable-next-line selector-max-type */
+.jp-HTMLSelect.jp-DefaultStyle select:hover,
+.jp-HTMLSelect.jp-DefaultStyle select > option {
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color0);
+}
+
+select {
+  box-sizing: border-box;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Styles
+|----------------------------------------------------------------------------*/
+
+.jp-StatusBar-Widget {
+  display: flex;
+  align-items: center;
+  background: var(--jp-layout-color2);
+  min-height: var(--jp-statusbar-height);
+  justify-content: space-between;
+  padding: 0 10px;
+}
+
+.jp-StatusBar-Left {
+  display: flex;
+  align-items: center;
+  flex-direction: row;
+}
+
+.jp-StatusBar-Middle {
+  display: flex;
+  align-items: center;
+}
+
+.jp-StatusBar-Right {
+  display: flex;
+  align-items: center;
+  flex-direction: row-reverse;
+}
+
+.jp-StatusBar-Item {
+  max-height: var(--jp-statusbar-height);
+  margin: 0 2px;
+  height: var(--jp-statusbar-height);
+  white-space: nowrap;
+  text-overflow: ellipsis;
+  color: var(--jp-ui-font-color1);
+  padding: 0 6px;
+}
+
+.jp-mod-highlighted:hover {
+  background-color: var(--jp-layout-color3);
+}
+
+.jp-mod-clicked {
+  background-color: var(--jp-brand-color1);
+}
+
+.jp-mod-clicked:hover {
+  background-color: var(--jp-brand-color0);
+}
+
+.jp-mod-clicked .jp-StatusBar-TextItem {
+  color: var(--jp-ui-inverse-font-color1);
+}
+
+.jp-StatusBar-HoverItem {
+  box-shadow: '0px 4px 4px rgba(0, 0, 0, 0.25)';
+}
+
+.jp-StatusBar-TextItem {
+  font-size: var(--jp-ui-font-size1);
+  font-family: var(--jp-ui-font-family);
+  line-height: 24px;
+  color: var(--jp-ui-font-color1);
+}
+
+.jp-StatusBar-GroupItem {
+  display: flex;
+  align-items: center;
+  flex-direction: row;
+}
+
+.jp-Statusbar-ProgressCircle svg {
+  display: block;
+  margin: 0 auto;
+  width: 16px;
+  height: 24px;
+  align-self: normal;
+}
+
+.jp-Statusbar-ProgressCircle path {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-Statusbar-ProgressBar-progress-bar {
+  height: 10px;
+  width: 100px;
+  border: solid 0.25px var(--jp-brand-color2);
+  border-radius: 3px;
+  overflow: hidden;
+  align-self: center;
+}
+
+.jp-Statusbar-ProgressBar-progress-bar > div {
+  background-color: var(--jp-brand-color2);
+  background-image: linear-gradient(
+    -45deg,
+    rgba(255, 255, 255, 0.2) 25%,
+    transparent 25%,
+    transparent 50%,
+    rgba(255, 255, 255, 0.2) 50%,
+    rgba(255, 255, 255, 0.2) 75%,
+    transparent 75%,
+    transparent
+  );
+  background-size: 40px 40px;
+  float: left;
+  width: 0%;
+  height: 100%;
+  font-size: 12px;
+  line-height: 14px;
+  color: #fff;
+  text-align: center;
+  animation: jp-Statusbar-ExecutionTime-progress-bar 2s linear infinite;
+}
+
+.jp-Statusbar-ProgressBar-progress-bar p {
+  color: var(--jp-ui-font-color1);
+  font-family: var(--jp-ui-font-family);
+  font-size: var(--jp-ui-font-size1);
+  line-height: 10px;
+  width: 100px;
+}
+
+@keyframes jp-Statusbar-ExecutionTime-progress-bar {
+  0% {
+    background-position: 0 0;
+  }
+
+  100% {
+    background-position: 40px 40px;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-commandpalette-search-height: 28px;
+}
+
+/*-----------------------------------------------------------------------------
+| Overall styles
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette {
+  padding-bottom: 0;
+  color: var(--jp-ui-font-color1);
+  background: var(--jp-layout-color1);
+
+  /* This is needed so that all font sizing of children done in ems is
+   * relative to this base size */
+  font-size: var(--jp-ui-font-size1);
+}
+
+/*-----------------------------------------------------------------------------
+| Modal variant
+|----------------------------------------------------------------------------*/
+
+.jp-ModalCommandPalette {
+  position: absolute;
+  z-index: 10000;
+  top: 38px;
+  left: 30%;
+  margin: 0;
+  padding: 4px;
+  width: 40%;
+  box-shadow: var(--jp-elevation-z4);
+  border-radius: 4px;
+  background: var(--jp-layout-color0);
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette {
+  max-height: 40vh;
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette .lm-close-icon::after {
+  display: none;
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette .lm-CommandPalette-header {
+  display: none;
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette .lm-CommandPalette-item {
+  margin-left: 4px;
+  margin-right: 4px;
+}
+
+.jp-ModalCommandPalette
+  .lm-CommandPalette
+  .lm-CommandPalette-item.lm-mod-disabled {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Search
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette-search {
+  padding: 4px;
+  background-color: var(--jp-layout-color1);
+  z-index: 2;
+}
+
+.lm-CommandPalette-wrapper {
+  overflow: overlay;
+  padding: 0 9px;
+  background-color: var(--jp-input-active-background);
+  height: 30px;
+  box-shadow: inset 0 0 0 var(--jp-border-width) var(--jp-input-border-color);
+}
+
+.lm-CommandPalette.lm-mod-focused .lm-CommandPalette-wrapper {
+  box-shadow: inset 0 0 0 1px var(--jp-input-active-box-shadow-color),
+    inset 0 0 0 3px var(--jp-input-active-box-shadow-color);
+}
+
+.jp-SearchIconGroup {
+  color: white;
+  background-color: var(--jp-brand-color1);
+  position: absolute;
+  top: 4px;
+  right: 4px;
+  padding: 5px 5px 1px;
+}
+
+.jp-SearchIconGroup svg {
+  height: 20px;
+  width: 20px;
+}
+
+.jp-SearchIconGroup .jp-icon3[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.lm-CommandPalette-input {
+  background: transparent;
+  width: calc(100% - 18px);
+  float: left;
+  border: none;
+  outline: none;
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color0);
+  line-height: var(--jp-private-commandpalette-search-height);
+}
+
+.lm-CommandPalette-input::-webkit-input-placeholder,
+.lm-CommandPalette-input::-moz-placeholder,
+.lm-CommandPalette-input:-ms-input-placeholder {
+  color: var(--jp-ui-font-color2);
+  font-size: var(--jp-ui-font-size1);
+}
+
+/*-----------------------------------------------------------------------------
+| Results
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette-header:first-child {
+  margin-top: 0;
+}
+
+.lm-CommandPalette-header {
+  border-bottom: solid var(--jp-border-width) var(--jp-border-color2);
+  color: var(--jp-ui-font-color1);
+  cursor: pointer;
+  display: flex;
+  font-size: var(--jp-ui-font-size0);
+  font-weight: 600;
+  letter-spacing: 1px;
+  margin-top: 8px;
+  padding: 8px 0 8px 12px;
+  text-transform: uppercase;
+}
+
+.lm-CommandPalette-header.lm-mod-active {
+  background: var(--jp-layout-color2);
+}
+
+.lm-CommandPalette-header > mark {
+  background-color: transparent;
+  font-weight: bold;
+  color: var(--jp-ui-font-color1);
+}
+
+.lm-CommandPalette-item {
+  padding: 4px 12px 4px 4px;
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  font-weight: 400;
+  display: flex;
+}
+
+.lm-CommandPalette-item.lm-mod-disabled {
+  color: var(--jp-ui-font-color2);
+}
+
+.lm-CommandPalette-item.lm-mod-active {
+  color: var(--jp-ui-inverse-font-color1);
+  background: var(--jp-brand-color1);
+}
+
+.lm-CommandPalette-item.lm-mod-active .lm-CommandPalette-itemLabel > mark {
+  color: var(--jp-ui-inverse-font-color0);
+}
+
+.lm-CommandPalette-item.lm-mod-active .jp-icon-selectable[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.lm-CommandPalette-item.lm-mod-active:hover:not(.lm-mod-disabled) {
+  color: var(--jp-ui-inverse-font-color1);
+  background: var(--jp-brand-color1);
+}
+
+.lm-CommandPalette-item:hover:not(.lm-mod-active):not(.lm-mod-disabled) {
+  background: var(--jp-layout-color2);
+}
+
+.lm-CommandPalette-itemContent {
+  overflow: hidden;
+}
+
+.lm-CommandPalette-itemLabel > mark {
+  color: var(--jp-ui-font-color0);
+  background-color: transparent;
+  font-weight: bold;
+}
+
+.lm-CommandPalette-item.lm-mod-disabled mark {
+  color: var(--jp-ui-font-color2);
+}
+
+.lm-CommandPalette-item .lm-CommandPalette-itemIcon {
+  margin: 0 4px 0 0;
+  position: relative;
+  width: 16px;
+  top: 2px;
+  flex: 0 0 auto;
+}
+
+.lm-CommandPalette-item.lm-mod-disabled .lm-CommandPalette-itemIcon {
+  opacity: 0.6;
+}
+
+.lm-CommandPalette-item .lm-CommandPalette-itemShortcut {
+  flex: 0 0 auto;
+}
+
+.lm-CommandPalette-itemCaption {
+  display: none;
+}
+
+.lm-CommandPalette-content {
+  background-color: var(--jp-layout-color1);
+}
+
+.lm-CommandPalette-content:empty::after {
+  content: 'No results';
+  margin: auto;
+  margin-top: 20px;
+  width: 100px;
+  display: block;
+  font-size: var(--jp-ui-font-size2);
+  font-family: var(--jp-ui-font-family);
+  font-weight: lighter;
+}
+
+.lm-CommandPalette-emptyMessage {
+  text-align: center;
+  margin-top: 24px;
+  line-height: 1.32;
+  padding: 0 8px;
+  color: var(--jp-content-font-color3);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Dialog {
+  position: absolute;
+  z-index: 10000;
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  justify-content: center;
+  top: 0;
+  left: 0;
+  margin: 0;
+  padding: 0;
+  width: 100%;
+  height: 100%;
+  background: var(--jp-dialog-background);
+}
+
+.jp-Dialog-content {
+  display: flex;
+  flex-direction: column;
+  margin-left: auto;
+  margin-right: auto;
+  background: var(--jp-layout-color1);
+  padding: 24px 24px 12px;
+  min-width: 300px;
+  min-height: 150px;
+  max-width: 1000px;
+  max-height: 500px;
+  box-sizing: border-box;
+  box-shadow: var(--jp-elevation-z20);
+  word-wrap: break-word;
+  border-radius: var(--jp-border-radius);
+
+  /* This is needed so that all font sizing of children done in ems is
+   * relative to this base size */
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color1);
+  resize: both;
+}
+
+.jp-Dialog-content.jp-Dialog-content-small {
+  max-width: 500px;
+}
+
+.jp-Dialog-button {
+  overflow: visible;
+}
+
+button.jp-Dialog-button:focus {
+  outline: 1px solid var(--jp-brand-color1);
+  outline-offset: 4px;
+  -moz-outline-radius: 0;
+}
+
+button.jp-Dialog-button:focus::-moz-focus-inner {
+  border: 0;
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-accept:focus,
+button.jp-Dialog-button.jp-mod-styled.jp-mod-warn:focus,
+button.jp-Dialog-button.jp-mod-styled.jp-mod-reject:focus {
+  outline-offset: 4px;
+  -moz-outline-radius: 0;
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-accept:focus {
+  outline: 1px solid var(--jp-accept-color-normal, var(--jp-brand-color1));
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-warn:focus {
+  outline: 1px solid var(--jp-warn-color-normal, var(--jp-error-color1));
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-reject:focus {
+  outline: 1px solid var(--jp-reject-color-normal, var(--md-grey-600));
+}
+
+button.jp-Dialog-close-button {
+  padding: 0;
+  height: 100%;
+  min-width: unset;
+  min-height: unset;
+}
+
+.jp-Dialog-header {
+  display: flex;
+  justify-content: space-between;
+  flex: 0 0 auto;
+  padding-bottom: 12px;
+  font-size: var(--jp-ui-font-size3);
+  font-weight: 400;
+  color: var(--jp-ui-font-color1);
+}
+
+.jp-Dialog-body {
+  display: flex;
+  flex-direction: column;
+  flex: 1 1 auto;
+  font-size: var(--jp-ui-font-size1);
+  background: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  overflow: auto;
+}
+
+.jp-Dialog-footer {
+  display: flex;
+  flex-direction: row;
+  justify-content: flex-end;
+  align-items: center;
+  flex: 0 0 auto;
+  margin-left: -12px;
+  margin-right: -12px;
+  padding: 12px;
+}
+
+.jp-Dialog-checkbox {
+  padding-right: 5px;
+}
+
+.jp-Dialog-checkbox > input:focus-visible {
+  outline: 1px solid var(--jp-input-active-border-color);
+  outline-offset: 1px;
+}
+
+.jp-Dialog-spacer {
+  flex: 1 1 auto;
+}
+
+.jp-Dialog-title {
+  overflow: hidden;
+  white-space: nowrap;
+  text-overflow: ellipsis;
+}
+
+.jp-Dialog-body > .jp-select-wrapper {
+  width: 100%;
+}
+
+.jp-Dialog-body > button {
+  padding: 0 16px;
+}
+
+.jp-Dialog-body > label {
+  line-height: 1.4;
+  color: var(--jp-ui-font-color0);
+}
+
+.jp-Dialog-button.jp-mod-styled:not(:last-child) {
+  margin-right: 12px;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-Input-Boolean-Dialog {
+  flex-direction: row-reverse;
+  align-items: end;
+  width: 100%;
+}
+
+.jp-Input-Boolean-Dialog > label {
+  flex: 1 1 auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-MainAreaWidget > :focus {
+  outline: none;
+}
+
+.jp-MainAreaWidget .jp-MainAreaWidget-error {
+  padding: 6px;
+}
+
+.jp-MainAreaWidget .jp-MainAreaWidget-error > pre {
+  width: auto;
+  padding: 10px;
+  background: var(--jp-error-color3);
+  border: var(--jp-border-width) solid var(--jp-error-color1);
+  border-radius: var(--jp-border-radius);
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  white-space: pre-wrap;
+  word-wrap: break-word;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/**
+ * google-material-color v1.2.6
+ * https://github.com/danlevan/google-material-color
+ */
+:root {
+  --md-red-50: #ffebee;
+  --md-red-100: #ffcdd2;
+  --md-red-200: #ef9a9a;
+  --md-red-300: #e57373;
+  --md-red-400: #ef5350;
+  --md-red-500: #f44336;
+  --md-red-600: #e53935;
+  --md-red-700: #d32f2f;
+  --md-red-800: #c62828;
+  --md-red-900: #b71c1c;
+  --md-red-A100: #ff8a80;
+  --md-red-A200: #ff5252;
+  --md-red-A400: #ff1744;
+  --md-red-A700: #d50000;
+  --md-pink-50: #fce4ec;
+  --md-pink-100: #f8bbd0;
+  --md-pink-200: #f48fb1;
+  --md-pink-300: #f06292;
+  --md-pink-400: #ec407a;
+  --md-pink-500: #e91e63;
+  --md-pink-600: #d81b60;
+  --md-pink-700: #c2185b;
+  --md-pink-800: #ad1457;
+  --md-pink-900: #880e4f;
+  --md-pink-A100: #ff80ab;
+  --md-pink-A200: #ff4081;
+  --md-pink-A400: #f50057;
+  --md-pink-A700: #c51162;
+  --md-purple-50: #f3e5f5;
+  --md-purple-100: #e1bee7;
+  --md-purple-200: #ce93d8;
+  --md-purple-300: #ba68c8;
+  --md-purple-400: #ab47bc;
+  --md-purple-500: #9c27b0;
+  --md-purple-600: #8e24aa;
+  --md-purple-700: #7b1fa2;
+  --md-purple-800: #6a1b9a;
+  --md-purple-900: #4a148c;
+  --md-purple-A100: #ea80fc;
+  --md-purple-A200: #e040fb;
+  --md-purple-A400: #d500f9;
+  --md-purple-A700: #a0f;
+  --md-deep-purple-50: #ede7f6;
+  --md-deep-purple-100: #d1c4e9;
+  --md-deep-purple-200: #b39ddb;
+  --md-deep-purple-300: #9575cd;
+  --md-deep-purple-400: #7e57c2;
+  --md-deep-purple-500: #673ab7;
+  --md-deep-purple-600: #5e35b1;
+  --md-deep-purple-700: #512da8;
+  --md-deep-purple-800: #4527a0;
+  --md-deep-purple-900: #311b92;
+  --md-deep-purple-A100: #b388ff;
+  --md-deep-purple-A200: #7c4dff;
+  --md-deep-purple-A400: #651fff;
+  --md-deep-purple-A700: #6200ea;
+  --md-indigo-50: #e8eaf6;
+  --md-indigo-100: #c5cae9;
+  --md-indigo-200: #9fa8da;
+  --md-indigo-300: #7986cb;
+  --md-indigo-400: #5c6bc0;
+  --md-indigo-500: #3f51b5;
+  --md-indigo-600: #3949ab;
+  --md-indigo-700: #303f9f;
+  --md-indigo-800: #283593;
+  --md-indigo-900: #1a237e;
+  --md-indigo-A100: #8c9eff;
+  --md-indigo-A200: #536dfe;
+  --md-indigo-A400: #3d5afe;
+  --md-indigo-A700: #304ffe;
+  --md-blue-50: #e3f2fd;
+  --md-blue-100: #bbdefb;
+  --md-blue-200: #90caf9;
+  --md-blue-300: #64b5f6;
+  --md-blue-400: #42a5f5;
+  --md-blue-500: #2196f3;
+  --md-blue-600: #1e88e5;
+  --md-blue-700: #1976d2;
+  --md-blue-800: #1565c0;
+  --md-blue-900: #0d47a1;
+  --md-blue-A100: #82b1ff;
+  --md-blue-A200: #448aff;
+  --md-blue-A400: #2979ff;
+  --md-blue-A700: #2962ff;
+  --md-light-blue-50: #e1f5fe;
+  --md-light-blue-100: #b3e5fc;
+  --md-light-blue-200: #81d4fa;
+  --md-light-blue-300: #4fc3f7;
+  --md-light-blue-400: #29b6f6;
+  --md-light-blue-500: #03a9f4;
+  --md-light-blue-600: #039be5;
+  --md-light-blue-700: #0288d1;
+  --md-light-blue-800: #0277bd;
+  --md-light-blue-900: #01579b;
+  --md-light-blue-A100: #80d8ff;
+  --md-light-blue-A200: #40c4ff;
+  --md-light-blue-A400: #00b0ff;
+  --md-light-blue-A700: #0091ea;
+  --md-cyan-50: #e0f7fa;
+  --md-cyan-100: #b2ebf2;
+  --md-cyan-200: #80deea;
+  --md-cyan-300: #4dd0e1;
+  --md-cyan-400: #26c6da;
+  --md-cyan-500: #00bcd4;
+  --md-cyan-600: #00acc1;
+  --md-cyan-700: #0097a7;
+  --md-cyan-800: #00838f;
+  --md-cyan-900: #006064;
+  --md-cyan-A100: #84ffff;
+  --md-cyan-A200: #18ffff;
+  --md-cyan-A400: #00e5ff;
+  --md-cyan-A700: #00b8d4;
+  --md-teal-50: #e0f2f1;
+  --md-teal-100: #b2dfdb;
+  --md-teal-200: #80cbc4;
+  --md-teal-300: #4db6ac;
+  --md-teal-400: #26a69a;
+  --md-teal-500: #009688;
+  --md-teal-600: #00897b;
+  --md-teal-700: #00796b;
+  --md-teal-800: #00695c;
+  --md-teal-900: #004d40;
+  --md-teal-A100: #a7ffeb;
+  --md-teal-A200: #64ffda;
+  --md-teal-A400: #1de9b6;
+  --md-teal-A700: #00bfa5;
+  --md-green-50: #e8f5e9;
+  --md-green-100: #c8e6c9;
+  --md-green-200: #a5d6a7;
+  --md-green-300: #81c784;
+  --md-green-400: #66bb6a;
+  --md-green-500: #4caf50;
+  --md-green-600: #43a047;
+  --md-green-700: #388e3c;
+  --md-green-800: #2e7d32;
+  --md-green-900: #1b5e20;
+  --md-green-A100: #b9f6ca;
+  --md-green-A200: #69f0ae;
+  --md-green-A400: #00e676;
+  --md-green-A700: #00c853;
+  --md-light-green-50: #f1f8e9;
+  --md-light-green-100: #dcedc8;
+  --md-light-green-200: #c5e1a5;
+  --md-light-green-300: #aed581;
+  --md-light-green-400: #9ccc65;
+  --md-light-green-500: #8bc34a;
+  --md-light-green-600: #7cb342;
+  --md-light-green-700: #689f38;
+  --md-light-green-800: #558b2f;
+  --md-light-green-900: #33691e;
+  --md-light-green-A100: #ccff90;
+  --md-light-green-A200: #b2ff59;
+  --md-light-green-A400: #76ff03;
+  --md-light-green-A700: #64dd17;
+  --md-lime-50: #f9fbe7;
+  --md-lime-100: #f0f4c3;
+  --md-lime-200: #e6ee9c;
+  --md-lime-300: #dce775;
+  --md-lime-400: #d4e157;
+  --md-lime-500: #cddc39;
+  --md-lime-600: #c0ca33;
+  --md-lime-700: #afb42b;
+  --md-lime-800: #9e9d24;
+  --md-lime-900: #827717;
+  --md-lime-A100: #f4ff81;
+  --md-lime-A200: #eeff41;
+  --md-lime-A400: #c6ff00;
+  --md-lime-A700: #aeea00;
+  --md-yellow-50: #fffde7;
+  --md-yellow-100: #fff9c4;
+  --md-yellow-200: #fff59d;
+  --md-yellow-300: #fff176;
+  --md-yellow-400: #ffee58;
+  --md-yellow-500: #ffeb3b;
+  --md-yellow-600: #fdd835;
+  --md-yellow-700: #fbc02d;
+  --md-yellow-800: #f9a825;
+  --md-yellow-900: #f57f17;
+  --md-yellow-A100: #ffff8d;
+  --md-yellow-A200: #ff0;
+  --md-yellow-A400: #ffea00;
+  --md-yellow-A700: #ffd600;
+  --md-amber-50: #fff8e1;
+  --md-amber-100: #ffecb3;
+  --md-amber-200: #ffe082;
+  --md-amber-300: #ffd54f;
+  --md-amber-400: #ffca28;
+  --md-amber-500: #ffc107;
+  --md-amber-600: #ffb300;
+  --md-amber-700: #ffa000;
+  --md-amber-800: #ff8f00;
+  --md-amber-900: #ff6f00;
+  --md-amber-A100: #ffe57f;
+  --md-amber-A200: #ffd740;
+  --md-amber-A400: #ffc400;
+  --md-amber-A700: #ffab00;
+  --md-orange-50: #fff3e0;
+  --md-orange-100: #ffe0b2;
+  --md-orange-200: #ffcc80;
+  --md-orange-300: #ffb74d;
+  --md-orange-400: #ffa726;
+  --md-orange-500: #ff9800;
+  --md-orange-600: #fb8c00;
+  --md-orange-700: #f57c00;
+  --md-orange-800: #ef6c00;
+  --md-orange-900: #e65100;
+  --md-orange-A100: #ffd180;
+  --md-orange-A200: #ffab40;
+  --md-orange-A400: #ff9100;
+  --md-orange-A700: #ff6d00;
+  --md-deep-orange-50: #fbe9e7;
+  --md-deep-orange-100: #ffccbc;
+  --md-deep-orange-200: #ffab91;
+  --md-deep-orange-300: #ff8a65;
+  --md-deep-orange-400: #ff7043;
+  --md-deep-orange-500: #ff5722;
+  --md-deep-orange-600: #f4511e;
+  --md-deep-orange-700: #e64a19;
+  --md-deep-orange-800: #d84315;
+  --md-deep-orange-900: #bf360c;
+  --md-deep-orange-A100: #ff9e80;
+  --md-deep-orange-A200: #ff6e40;
+  --md-deep-orange-A400: #ff3d00;
+  --md-deep-orange-A700: #dd2c00;
+  --md-brown-50: #efebe9;
+  --md-brown-100: #d7ccc8;
+  --md-brown-200: #bcaaa4;
+  --md-brown-300: #a1887f;
+  --md-brown-400: #8d6e63;
+  --md-brown-500: #795548;
+  --md-brown-600: #6d4c41;
+  --md-brown-700: #5d4037;
+  --md-brown-800: #4e342e;
+  --md-brown-900: #3e2723;
+  --md-grey-50: #fafafa;
+  --md-grey-100: #f5f5f5;
+  --md-grey-200: #eee;
+  --md-grey-300: #e0e0e0;
+  --md-grey-400: #bdbdbd;
+  --md-grey-500: #9e9e9e;
+  --md-grey-600: #757575;
+  --md-grey-700: #616161;
+  --md-grey-800: #424242;
+  --md-grey-900: #212121;
+  --md-blue-grey-50: #eceff1;
+  --md-blue-grey-100: #cfd8dc;
+  --md-blue-grey-200: #b0bec5;
+  --md-blue-grey-300: #90a4ae;
+  --md-blue-grey-400: #78909c;
+  --md-blue-grey-500: #607d8b;
+  --md-blue-grey-600: #546e7a;
+  --md-blue-grey-700: #455a64;
+  --md-blue-grey-800: #37474f;
+  --md-blue-grey-900: #263238;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| RenderedText
+|----------------------------------------------------------------------------*/
+
+:root {
+  /* This is the padding value to fill the gaps between lines containing spans with background color. */
+  --jp-private-code-span-padding: calc(
+    (var(--jp-code-line-height) - 1) * var(--jp-code-font-size) / 2
+  );
+}
+
+.jp-RenderedText {
+  text-align: left;
+  padding-left: var(--jp-code-padding);
+  line-height: var(--jp-code-line-height);
+  font-family: var(--jp-code-font-family);
+}
+
+.jp-RenderedText pre,
+.jp-RenderedJavaScript pre,
+.jp-RenderedHTMLCommon pre {
+  color: var(--jp-content-font-color1);
+  font-size: var(--jp-code-font-size);
+  border: none;
+  margin: 0;
+  padding: 0;
+}
+
+.jp-RenderedText pre a:link {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+.jp-RenderedText pre a:hover {
+  text-decoration: underline;
+  color: var(--jp-content-link-color);
+}
+
+.jp-RenderedText pre a:visited {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+/* console foregrounds and backgrounds */
+.jp-RenderedText pre .ansi-black-fg {
+  color: #3e424d;
+}
+
+.jp-RenderedText pre .ansi-red-fg {
+  color: #e75c58;
+}
+
+.jp-RenderedText pre .ansi-green-fg {
+  color: #00a250;
+}
+
+.jp-RenderedText pre .ansi-yellow-fg {
+  color: #ddb62b;
+}
+
+.jp-RenderedText pre .ansi-blue-fg {
+  color: #208ffb;
+}
+
+.jp-RenderedText pre .ansi-magenta-fg {
+  color: #d160c4;
+}
+
+.jp-RenderedText pre .ansi-cyan-fg {
+  color: #60c6c8;
+}
+
+.jp-RenderedText pre .ansi-white-fg {
+  color: #c5c1b4;
+}
+
+.jp-RenderedText pre .ansi-black-bg {
+  background-color: #3e424d;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-red-bg {
+  background-color: #e75c58;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-green-bg {
+  background-color: #00a250;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-yellow-bg {
+  background-color: #ddb62b;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-blue-bg {
+  background-color: #208ffb;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-magenta-bg {
+  background-color: #d160c4;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-cyan-bg {
+  background-color: #60c6c8;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-white-bg {
+  background-color: #c5c1b4;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-black-intense-fg {
+  color: #282c36;
+}
+
+.jp-RenderedText pre .ansi-red-intense-fg {
+  color: #b22b31;
+}
+
+.jp-RenderedText pre .ansi-green-intense-fg {
+  color: #007427;
+}
+
+.jp-RenderedText pre .ansi-yellow-intense-fg {
+  color: #b27d12;
+}
+
+.jp-RenderedText pre .ansi-blue-intense-fg {
+  color: #0065ca;
+}
+
+.jp-RenderedText pre .ansi-magenta-intense-fg {
+  color: #a03196;
+}
+
+.jp-RenderedText pre .ansi-cyan-intense-fg {
+  color: #258f8f;
+}
+
+.jp-RenderedText pre .ansi-white-intense-fg {
+  color: #a1a6b2;
+}
+
+.jp-RenderedText pre .ansi-black-intense-bg {
+  background-color: #282c36;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-red-intense-bg {
+  background-color: #b22b31;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-green-intense-bg {
+  background-color: #007427;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-yellow-intense-bg {
+  background-color: #b27d12;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-blue-intense-bg {
+  background-color: #0065ca;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-magenta-intense-bg {
+  background-color: #a03196;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-cyan-intense-bg {
+  background-color: #258f8f;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-white-intense-bg {
+  background-color: #a1a6b2;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-default-inverse-fg {
+  color: var(--jp-ui-inverse-font-color0);
+}
+
+.jp-RenderedText pre .ansi-default-inverse-bg {
+  background-color: var(--jp-inverse-layout-color0);
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-bold {
+  font-weight: bold;
+}
+
+.jp-RenderedText pre .ansi-underline {
+  text-decoration: underline;
+}
+
+.jp-RenderedText[data-mime-type='application/vnd.jupyter.stderr'] {
+  background: var(--jp-rendermime-error-background);
+  padding-top: var(--jp-code-padding);
+}
+
+/*-----------------------------------------------------------------------------
+| RenderedLatex
+|----------------------------------------------------------------------------*/
+
+.jp-RenderedLatex {
+  color: var(--jp-content-font-color1);
+  font-size: var(--jp-content-font-size1);
+  line-height: var(--jp-content-line-height);
+}
+
+/* Left-justify outputs.*/
+.jp-OutputArea-output.jp-RenderedLatex {
+  padding: var(--jp-code-padding);
+  text-align: left;
+}
+
+/*-----------------------------------------------------------------------------
+| RenderedHTML
+|----------------------------------------------------------------------------*/
+
+.jp-RenderedHTMLCommon {
+  color: var(--jp-content-font-color1);
+  font-family: var(--jp-content-font-family);
+  font-size: var(--jp-content-font-size1);
+  line-height: var(--jp-content-line-height);
+
+  /* Give a bit more R padding on Markdown text to keep line lengths reasonable */
+  padding-right: 20px;
+}
+
+.jp-RenderedHTMLCommon em {
+  font-style: italic;
+}
+
+.jp-RenderedHTMLCommon strong {
+  font-weight: bold;
+}
+
+.jp-RenderedHTMLCommon u {
+  text-decoration: underline;
+}
+
+.jp-RenderedHTMLCommon a:link {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+.jp-RenderedHTMLCommon a:hover {
+  text-decoration: underline;
+  color: var(--jp-content-link-color);
+}
+
+.jp-RenderedHTMLCommon a:visited {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+/* Headings */
+
+.jp-RenderedHTMLCommon h1,
+.jp-RenderedHTMLCommon h2,
+.jp-RenderedHTMLCommon h3,
+.jp-RenderedHTMLCommon h4,
+.jp-RenderedHTMLCommon h5,
+.jp-RenderedHTMLCommon h6 {
+  line-height: var(--jp-content-heading-line-height);
+  font-weight: var(--jp-content-heading-font-weight);
+  font-style: normal;
+  margin: var(--jp-content-heading-margin-top) 0
+    var(--jp-content-heading-margin-bottom) 0;
+}
+
+.jp-RenderedHTMLCommon h1:first-child,
+.jp-RenderedHTMLCommon h2:first-child,
+.jp-RenderedHTMLCommon h3:first-child,
+.jp-RenderedHTMLCommon h4:first-child,
+.jp-RenderedHTMLCommon h5:first-child,
+.jp-RenderedHTMLCommon h6:first-child {
+  margin-top: calc(0.5 * var(--jp-content-heading-margin-top));
+}
+
+.jp-RenderedHTMLCommon h1:last-child,
+.jp-RenderedHTMLCommon h2:last-child,
+.jp-RenderedHTMLCommon h3:last-child,
+.jp-RenderedHTMLCommon h4:last-child,
+.jp-RenderedHTMLCommon h5:last-child,
+.jp-RenderedHTMLCommon h6:last-child {
+  margin-bottom: calc(0.5 * var(--jp-content-heading-margin-bottom));
+}
+
+.jp-RenderedHTMLCommon h1 {
+  font-size: var(--jp-content-font-size5);
+}
+
+.jp-RenderedHTMLCommon h2 {
+  font-size: var(--jp-content-font-size4);
+}
+
+.jp-RenderedHTMLCommon h3 {
+  font-size: var(--jp-content-font-size3);
+}
+
+.jp-RenderedHTMLCommon h4 {
+  font-size: var(--jp-content-font-size2);
+}
+
+.jp-RenderedHTMLCommon h5 {
+  font-size: var(--jp-content-font-size1);
+}
+
+.jp-RenderedHTMLCommon h6 {
+  font-size: var(--jp-content-font-size0);
+}
+
+/* Lists */
+
+/* stylelint-disable selector-max-type, selector-max-compound-selectors */
+
+.jp-RenderedHTMLCommon ul:not(.list-inline),
+.jp-RenderedHTMLCommon ol:not(.list-inline) {
+  padding-left: 2em;
+}
+
+.jp-RenderedHTMLCommon ul {
+  list-style: disc;
+}
+
+.jp-RenderedHTMLCommon ul ul {
+  list-style: square;
+}
+
+.jp-RenderedHTMLCommon ul ul ul {
+  list-style: circle;
+}
+
+.jp-RenderedHTMLCommon ol {
+  list-style: decimal;
+}
+
+.jp-RenderedHTMLCommon ol ol {
+  list-style: upper-alpha;
+}
+
+.jp-RenderedHTMLCommon ol ol ol {
+  list-style: lower-alpha;
+}
+
+.jp-RenderedHTMLCommon ol ol ol ol {
+  list-style: lower-roman;
+}
+
+.jp-RenderedHTMLCommon ol ol ol ol ol {
+  list-style: decimal;
+}
+
+.jp-RenderedHTMLCommon ol,
+.jp-RenderedHTMLCommon ul {
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon ul ul,
+.jp-RenderedHTMLCommon ul ol,
+.jp-RenderedHTMLCommon ol ul,
+.jp-RenderedHTMLCommon ol ol {
+  margin-bottom: 0;
+}
+
+/* stylelint-enable selector-max-type, selector-max-compound-selectors */
+
+.jp-RenderedHTMLCommon hr {
+  color: var(--jp-border-color2);
+  background-color: var(--jp-border-color1);
+  margin-top: 1em;
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon > pre {
+  margin: 1.5em 2em;
+}
+
+.jp-RenderedHTMLCommon pre,
+.jp-RenderedHTMLCommon code {
+  border: 0;
+  background-color: var(--jp-layout-color0);
+  color: var(--jp-content-font-color1);
+  font-family: var(--jp-code-font-family);
+  font-size: inherit;
+  line-height: var(--jp-code-line-height);
+  padding: 0;
+  white-space: pre-wrap;
+}
+
+.jp-RenderedHTMLCommon :not(pre) > code {
+  background-color: var(--jp-layout-color2);
+  padding: 1px 5px;
+}
+
+/* Tables */
+
+.jp-RenderedHTMLCommon table {
+  border-collapse: collapse;
+  border-spacing: 0;
+  border: none;
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  table-layout: fixed;
+  margin-left: auto;
+  margin-bottom: 1em;
+  margin-right: auto;
+}
+
+.jp-RenderedHTMLCommon thead {
+  border-bottom: var(--jp-border-width) solid var(--jp-border-color1);
+  vertical-align: bottom;
+}
+
+.jp-RenderedHTMLCommon td,
+.jp-RenderedHTMLCommon th,
+.jp-RenderedHTMLCommon tr {
+  vertical-align: middle;
+  padding: 0.5em;
+  line-height: normal;
+  white-space: normal;
+  max-width: none;
+  border: none;
+}
+
+.jp-RenderedMarkdown.jp-RenderedHTMLCommon td,
+.jp-RenderedMarkdown.jp-RenderedHTMLCommon th {
+  max-width: none;
+}
+
+:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon td,
+:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon th,
+:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon tr {
+  text-align: right;
+}
+
+.jp-RenderedHTMLCommon th {
+  font-weight: bold;
+}
+
+.jp-RenderedHTMLCommon tbody tr:nth-child(odd) {
+  background: var(--jp-layout-color0);
+}
+
+.jp-RenderedHTMLCommon tbody tr:nth-child(even) {
+  background: var(--jp-rendermime-table-row-background);
+}
+
+.jp-RenderedHTMLCommon tbody tr:hover {
+  background: var(--jp-rendermime-table-row-hover-background);
+}
+
+.jp-RenderedHTMLCommon p {
+  text-align: left;
+  margin: 0;
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon img {
+  -moz-force-broken-image-icon: 1;
+}
+
+/* Restrict to direct children as other images could be nested in other content. */
+.jp-RenderedHTMLCommon > img {
+  display: block;
+  margin-left: 0;
+  margin-right: 0;
+  margin-bottom: 1em;
+}
+
+/* Change color behind transparent images if they need it... */
+[data-jp-theme-light='false'] .jp-RenderedImage img.jp-needs-light-background {
+  background-color: var(--jp-inverse-layout-color1);
+}
+
+[data-jp-theme-light='true'] .jp-RenderedImage img.jp-needs-dark-background {
+  background-color: var(--jp-inverse-layout-color1);
+}
+
+.jp-RenderedHTMLCommon img,
+.jp-RenderedImage img,
+.jp-RenderedHTMLCommon svg,
+.jp-RenderedSVG svg {
+  max-width: 100%;
+  height: auto;
+}
+
+.jp-RenderedHTMLCommon img.jp-mod-unconfined,
+.jp-RenderedImage img.jp-mod-unconfined,
+.jp-RenderedHTMLCommon svg.jp-mod-unconfined,
+.jp-RenderedSVG svg.jp-mod-unconfined {
+  max-width: none;
+}
+
+.jp-RenderedHTMLCommon .alert {
+  padding: var(--jp-notebook-padding);
+  border: var(--jp-border-width) solid transparent;
+  border-radius: var(--jp-border-radius);
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon .alert-info {
+  color: var(--jp-info-color0);
+  background-color: var(--jp-info-color3);
+  border-color: var(--jp-info-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-info hr {
+  border-color: var(--jp-info-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-info > p:last-child,
+.jp-RenderedHTMLCommon .alert-info > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon .alert-warning {
+  color: var(--jp-warn-color0);
+  background-color: var(--jp-warn-color3);
+  border-color: var(--jp-warn-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-warning hr {
+  border-color: var(--jp-warn-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-warning > p:last-child,
+.jp-RenderedHTMLCommon .alert-warning > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon .alert-success {
+  color: var(--jp-success-color0);
+  background-color: var(--jp-success-color3);
+  border-color: var(--jp-success-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-success hr {
+  border-color: var(--jp-success-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-success > p:last-child,
+.jp-RenderedHTMLCommon .alert-success > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon .alert-danger {
+  color: var(--jp-error-color0);
+  background-color: var(--jp-error-color3);
+  border-color: var(--jp-error-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-danger hr {
+  border-color: var(--jp-error-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-danger > p:last-child,
+.jp-RenderedHTMLCommon .alert-danger > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon blockquote {
+  margin: 1em 2em;
+  padding: 0 1em;
+  border-left: 5px solid var(--jp-border-color2);
+}
+
+a.jp-InternalAnchorLink {
+  visibility: hidden;
+  margin-left: 8px;
+  color: var(--md-blue-800);
+}
+
+h1:hover .jp-InternalAnchorLink,
+h2:hover .jp-InternalAnchorLink,
+h3:hover .jp-InternalAnchorLink,
+h4:hover .jp-InternalAnchorLink,
+h5:hover .jp-InternalAnchorLink,
+h6:hover .jp-InternalAnchorLink {
+  visibility: visible;
+}
+
+.jp-RenderedHTMLCommon kbd {
+  background-color: var(--jp-rendermime-table-row-background);
+  border: 1px solid var(--jp-border-color0);
+  border-bottom-color: var(--jp-border-color2);
+  border-radius: 3px;
+  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.25);
+  display: inline-block;
+  font-size: var(--jp-ui-font-size0);
+  line-height: 1em;
+  padding: 0.2em 0.5em;
+}
+
+/* Most direct children of .jp-RenderedHTMLCommon have a margin-bottom of 1.0.
+ * At the bottom of cells this is a bit too much as there is also spacing
+ * between cells. Going all the way to 0 gets too tight between markdown and
+ * code cells.
+ */
+.jp-RenderedHTMLCommon > *:last-child {
+  margin-bottom: 0.5em;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-cursor-backdrop {
+  position: fixed;
+  width: 200px;
+  height: 200px;
+  margin-top: -100px;
+  margin-left: -100px;
+  will-change: transform;
+  z-index: 100;
+}
+
+.lm-mod-drag-image {
+  will-change: transform;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-lineFormSearch {
+  padding: 4px 12px;
+  background-color: var(--jp-layout-color2);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  z-index: 2;
+  font-size: var(--jp-ui-font-size1);
+}
+
+.jp-lineFormCaption {
+  font-size: var(--jp-ui-font-size0);
+  line-height: var(--jp-ui-font-size1);
+  margin-top: 4px;
+  color: var(--jp-ui-font-color0);
+}
+
+.jp-baseLineForm {
+  border: none;
+  border-radius: 0;
+  position: absolute;
+  background-size: 16px;
+  background-repeat: no-repeat;
+  background-position: center;
+  outline: none;
+}
+
+.jp-lineFormButtonContainer {
+  top: 4px;
+  right: 8px;
+  height: 24px;
+  padding: 0 12px;
+  width: 12px;
+}
+
+.jp-lineFormButtonIcon {
+  top: 0;
+  right: 0;
+  background-color: var(--jp-brand-color1);
+  height: 100%;
+  width: 100%;
+  box-sizing: border-box;
+  padding: 4px 6px;
+}
+
+.jp-lineFormButton {
+  top: 0;
+  right: 0;
+  background-color: transparent;
+  height: 100%;
+  width: 100%;
+  box-sizing: border-box;
+}
+
+.jp-lineFormWrapper {
+  overflow: hidden;
+  padding: 0 8px;
+  border: 1px solid var(--jp-border-color0);
+  background-color: var(--jp-input-active-background);
+  height: 22px;
+}
+
+.jp-lineFormWrapperFocusWithin {
+  border: var(--jp-border-width) solid var(--md-blue-500);
+  box-shadow: inset 0 0 4px var(--md-blue-300);
+}
+
+.jp-lineFormInput {
+  background: transparent;
+  width: 200px;
+  height: 100%;
+  border: none;
+  outline: none;
+  color: var(--jp-ui-font-color0);
+  line-height: 28px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-JSONEditor {
+  display: flex;
+  flex-direction: column;
+  width: 100%;
+}
+
+.jp-JSONEditor-host {
+  flex: 1 1 auto;
+  border: var(--jp-border-width) solid var(--jp-input-border-color);
+  border-radius: 0;
+  background: var(--jp-layout-color0);
+  min-height: 50px;
+  padding: 1px;
+}
+
+.jp-JSONEditor.jp-mod-error .jp-JSONEditor-host {
+  border-color: red;
+  outline-color: red;
+}
+
+.jp-JSONEditor-header {
+  display: flex;
+  flex: 1 0 auto;
+  padding: 0 0 0 12px;
+}
+
+.jp-JSONEditor-header label {
+  flex: 0 0 auto;
+}
+
+.jp-JSONEditor-commitButton {
+  height: 16px;
+  width: 16px;
+  background-size: 18px;
+  background-repeat: no-repeat;
+  background-position: center;
+}
+
+.jp-JSONEditor-host.jp-mod-focused {
+  background-color: var(--jp-input-active-background);
+  border: 1px solid var(--jp-input-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+}
+
+.jp-Editor.jp-mod-dropTarget {
+  border: var(--jp-border-width) solid var(--jp-input-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+.jp-DocumentSearch-input {
+  border: none;
+  outline: none;
+  color: var(--jp-ui-font-color0);
+  font-size: var(--jp-ui-font-size1);
+  background-color: var(--jp-layout-color0);
+  font-family: var(--jp-ui-font-family);
+  padding: 2px 1px;
+  resize: none;
+}
+
+.jp-DocumentSearch-overlay {
+  position: absolute;
+  background-color: var(--jp-toolbar-background);
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  border-left: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  top: 0;
+  right: 0;
+  z-index: 7;
+  min-width: 405px;
+  padding: 2px;
+  font-size: var(--jp-ui-font-size1);
+
+  --jp-private-document-search-button-height: 20px;
+}
+
+.jp-DocumentSearch-overlay button {
+  background-color: var(--jp-toolbar-background);
+  outline: 0;
+}
+
+.jp-DocumentSearch-overlay button:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-overlay button:active {
+  background-color: var(--jp-layout-color3);
+}
+
+.jp-DocumentSearch-overlay-row {
+  display: flex;
+  align-items: center;
+  margin-bottom: 2px;
+}
+
+.jp-DocumentSearch-button-content {
+  display: inline-block;
+  cursor: pointer;
+  box-sizing: border-box;
+  width: 100%;
+  height: 100%;
+}
+
+.jp-DocumentSearch-button-content svg {
+  width: 100%;
+  height: 100%;
+}
+
+.jp-DocumentSearch-input-wrapper {
+  border: var(--jp-border-width) solid var(--jp-border-color0);
+  display: flex;
+  background-color: var(--jp-layout-color0);
+  margin: 2px;
+}
+
+.jp-DocumentSearch-input-wrapper:focus-within {
+  border-color: var(--jp-cell-editor-active-border-color);
+}
+
+.jp-DocumentSearch-toggle-wrapper,
+.jp-DocumentSearch-button-wrapper {
+  all: initial;
+  overflow: hidden;
+  display: inline-block;
+  border: none;
+  box-sizing: border-box;
+}
+
+.jp-DocumentSearch-toggle-wrapper {
+  width: 14px;
+  height: 14px;
+}
+
+.jp-DocumentSearch-button-wrapper {
+  width: var(--jp-private-document-search-button-height);
+  height: var(--jp-private-document-search-button-height);
+}
+
+.jp-DocumentSearch-toggle-wrapper:focus,
+.jp-DocumentSearch-button-wrapper:focus {
+  outline: var(--jp-border-width) solid
+    var(--jp-cell-editor-active-border-color);
+  outline-offset: -1px;
+}
+
+.jp-DocumentSearch-toggle-wrapper,
+.jp-DocumentSearch-button-wrapper,
+.jp-DocumentSearch-button-content:focus {
+  outline: none;
+}
+
+.jp-DocumentSearch-toggle-placeholder {
+  width: 5px;
+}
+
+.jp-DocumentSearch-input-button::before {
+  display: block;
+  padding-top: 100%;
+}
+
+.jp-DocumentSearch-input-button-off {
+  opacity: var(--jp-search-toggle-off-opacity);
+}
+
+.jp-DocumentSearch-input-button-off:hover {
+  opacity: var(--jp-search-toggle-hover-opacity);
+}
+
+.jp-DocumentSearch-input-button-on {
+  opacity: var(--jp-search-toggle-on-opacity);
+}
+
+.jp-DocumentSearch-index-counter {
+  padding-left: 10px;
+  padding-right: 10px;
+  user-select: none;
+  min-width: 35px;
+  display: inline-block;
+}
+
+.jp-DocumentSearch-up-down-wrapper {
+  display: inline-block;
+  padding-right: 2px;
+  margin-left: auto;
+  white-space: nowrap;
+}
+
+.jp-DocumentSearch-spacer {
+  margin-left: auto;
+}
+
+.jp-DocumentSearch-up-down-wrapper button {
+  outline: 0;
+  border: none;
+  width: var(--jp-private-document-search-button-height);
+  height: var(--jp-private-document-search-button-height);
+  vertical-align: middle;
+  margin: 1px 5px 2px;
+}
+
+.jp-DocumentSearch-up-down-button:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-up-down-button:active {
+  background-color: var(--jp-layout-color3);
+}
+
+.jp-DocumentSearch-filter-button {
+  border-radius: var(--jp-border-radius);
+}
+
+.jp-DocumentSearch-filter-button:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-filter-button-enabled {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-filter-button-enabled:hover {
+  background-color: var(--jp-layout-color3);
+}
+
+.jp-DocumentSearch-search-options {
+  padding: 0 8px;
+  margin-left: 3px;
+  width: 100%;
+  display: grid;
+  justify-content: start;
+  grid-template-columns: 1fr 1fr;
+  align-items: center;
+  justify-items: stretch;
+}
+
+.jp-DocumentSearch-search-filter-disabled {
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-DocumentSearch-search-filter {
+  display: flex;
+  align-items: center;
+  user-select: none;
+}
+
+.jp-DocumentSearch-regex-error {
+  color: var(--jp-error-color0);
+}
+
+.jp-DocumentSearch-replace-button-wrapper {
+  overflow: hidden;
+  display: inline-block;
+  box-sizing: border-box;
+  border: var(--jp-border-width) solid var(--jp-border-color0);
+  margin: auto 2px;
+  padding: 1px 4px;
+  height: calc(var(--jp-private-document-search-button-height) + 2px);
+}
+
+.jp-DocumentSearch-replace-button-wrapper:focus {
+  border: var(--jp-border-width) solid var(--jp-cell-editor-active-border-color);
+}
+
+.jp-DocumentSearch-replace-button {
+  display: inline-block;
+  text-align: center;
+  cursor: pointer;
+  box-sizing: border-box;
+  color: var(--jp-ui-font-color1);
+
+  /* height - 2 * (padding of wrapper) */
+  line-height: calc(var(--jp-private-document-search-button-height) - 2px);
+  width: 100%;
+  height: 100%;
+}
+
+.jp-DocumentSearch-replace-button:focus {
+  outline: none;
+}
+
+.jp-DocumentSearch-replace-wrapper-class {
+  margin-left: 14px;
+  display: flex;
+}
+
+.jp-DocumentSearch-replace-toggle {
+  border: none;
+  background-color: var(--jp-toolbar-background);
+  border-radius: var(--jp-border-radius);
+}
+
+.jp-DocumentSearch-replace-toggle:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.cm-editor {
+  line-height: var(--jp-code-line-height);
+  font-size: var(--jp-code-font-size);
+  font-family: var(--jp-code-font-family);
+  border: 0;
+  border-radius: 0;
+  height: auto;
+
+  /* Changed to auto to autogrow */
+}
+
+.cm-editor pre {
+  padding: 0 var(--jp-code-padding);
+}
+
+.jp-CodeMirrorEditor[data-type='inline'] .cm-dialog {
+  background-color: var(--jp-layout-color0);
+  color: var(--jp-content-font-color1);
+}
+
+.jp-CodeMirrorEditor {
+  cursor: text;
+}
+
+/* When zoomed out 67% and 33% on a screen of 1440 width x 900 height */
+@media screen and (min-width: 2138px) and (max-width: 4319px) {
+  .jp-CodeMirrorEditor[data-type='inline'] .cm-cursor {
+    border-left: var(--jp-code-cursor-width1) solid
+      var(--jp-editor-cursor-color);
+  }
+}
+
+/* When zoomed out less than 33% */
+@media screen and (min-width: 4320px) {
+  .jp-CodeMirrorEditor[data-type='inline'] .cm-cursor {
+    border-left: var(--jp-code-cursor-width2) solid
+      var(--jp-editor-cursor-color);
+  }
+}
+
+.cm-editor.jp-mod-readOnly .cm-cursor {
+  display: none;
+}
+
+.jp-CollaboratorCursor {
+  border-left: 5px solid transparent;
+  border-right: 5px solid transparent;
+  border-top: none;
+  border-bottom: 3px solid;
+  background-clip: content-box;
+  margin-left: -5px;
+  margin-right: -5px;
+}
+
+.cm-searching,
+.cm-searching span {
+  /* `.cm-searching span`: we need to override syntax highlighting */
+  background-color: var(--jp-search-unselected-match-background-color);
+  color: var(--jp-search-unselected-match-color);
+}
+
+.cm-searching::selection,
+.cm-searching span::selection {
+  background-color: var(--jp-search-unselected-match-background-color);
+  color: var(--jp-search-unselected-match-color);
+}
+
+.jp-current-match > .cm-searching,
+.jp-current-match > .cm-searching span,
+.cm-searching > .jp-current-match,
+.cm-searching > .jp-current-match span {
+  background-color: var(--jp-search-selected-match-background-color);
+  color: var(--jp-search-selected-match-color);
+}
+
+.jp-current-match > .cm-searching::selection,
+.cm-searching > .jp-current-match::selection,
+.jp-current-match > .cm-searching span::selection {
+  background-color: var(--jp-search-selected-match-background-color);
+  color: var(--jp-search-selected-match-color);
+}
+
+.cm-trailingspace {
+  background-image: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAgAAAAFCAYAAAB4ka1VAAAAsElEQVQIHQGlAFr/AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA7+r3zKmT0/+pk9P/7+r3zAAAAAAAAAAABAAAAAAAAAAA6OPzM+/q9wAAAAAA6OPzMwAAAAAAAAAAAgAAAAAAAAAAGR8NiRQaCgAZIA0AGR8NiQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQyoYJ/SY80UAAAAASUVORK5CYII=);
+  background-position: center left;
+  background-repeat: repeat-x;
+}
+
+.jp-CollaboratorCursor-hover {
+  position: absolute;
+  z-index: 1;
+  transform: translateX(-50%);
+  color: white;
+  border-radius: 3px;
+  padding-left: 4px;
+  padding-right: 4px;
+  padding-top: 1px;
+  padding-bottom: 1px;
+  text-align: center;
+  font-size: var(--jp-ui-font-size1);
+  white-space: nowrap;
+}
+
+.jp-CodeMirror-ruler {
+  border-left: 1px dashed var(--jp-border-color2);
+}
+
+/* Styles for shared cursors (remote cursor locations and selected ranges) */
+.jp-CodeMirrorEditor .cm-ySelectionCaret {
+  position: relative;
+  border-left: 1px solid black;
+  margin-left: -1px;
+  margin-right: -1px;
+  box-sizing: border-box;
+}
+
+.jp-CodeMirrorEditor .cm-ySelectionCaret > .cm-ySelectionInfo {
+  white-space: nowrap;
+  position: absolute;
+  top: -1.15em;
+  padding-bottom: 0.05em;
+  left: -1px;
+  font-size: 0.95em;
+  font-family: var(--jp-ui-font-family);
+  font-weight: bold;
+  line-height: normal;
+  user-select: none;
+  color: white;
+  padding-left: 2px;
+  padding-right: 2px;
+  z-index: 101;
+  transition: opacity 0.3s ease-in-out;
+}
+
+.jp-CodeMirrorEditor .cm-ySelectionInfo {
+  transition-delay: 0.7s;
+  opacity: 0;
+}
+
+.jp-CodeMirrorEditor .cm-ySelectionCaret:hover > .cm-ySelectionInfo {
+  opacity: 1;
+  transition-delay: 0s;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-MimeDocument {
+  outline: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-filebrowser-button-height: 28px;
+  --jp-private-filebrowser-button-width: 48px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-FileBrowser .jp-SidePanel-content {
+  display: flex;
+  flex-direction: column;
+}
+
+.jp-FileBrowser-toolbar.jp-Toolbar {
+  flex-wrap: wrap;
+  row-gap: 12px;
+  border-bottom: none;
+  height: auto;
+  margin: 8px 12px 0;
+  box-shadow: none;
+  padding: 0;
+  justify-content: flex-start;
+}
+
+.jp-FileBrowser-Panel {
+  flex: 1 1 auto;
+  display: flex;
+  flex-direction: column;
+}
+
+.jp-BreadCrumbs {
+  flex: 0 0 auto;
+  margin: 8px 12px;
+}
+
+.jp-BreadCrumbs-item {
+  margin: 0 2px;
+  padding: 0 2px;
+  border-radius: var(--jp-border-radius);
+  cursor: pointer;
+}
+
+.jp-BreadCrumbs-item:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-BreadCrumbs-item:first-child {
+  margin-left: 0;
+}
+
+.jp-BreadCrumbs-item.jp-mod-dropTarget {
+  background-color: var(--jp-brand-color2);
+  opacity: 0.7;
+}
+
+/*-----------------------------------------------------------------------------
+| Buttons
+|----------------------------------------------------------------------------*/
+
+.jp-FileBrowser-toolbar > .jp-Toolbar-item {
+  flex: 0 0 auto;
+  padding-left: 0;
+  padding-right: 2px;
+  align-items: center;
+  height: unset;
+}
+
+.jp-FileBrowser-toolbar > .jp-Toolbar-item .jp-ToolbarButtonComponent {
+  width: 40px;
+}
+
+/*-----------------------------------------------------------------------------
+| Other styles
+|----------------------------------------------------------------------------*/
+
+.jp-FileDialog.jp-mod-conflict input {
+  color: var(--jp-error-color1);
+}
+
+.jp-FileDialog .jp-new-name-title {
+  margin-top: 12px;
+}
+
+.jp-LastModified-hidden {
+  display: none;
+}
+
+.jp-FileSize-hidden {
+  display: none;
+}
+
+.jp-FileBrowser .lm-AccordionPanel > h3:first-child {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| DirListing
+|----------------------------------------------------------------------------*/
+
+.jp-DirListing {
+  flex: 1 1 auto;
+  display: flex;
+  flex-direction: column;
+  outline: 0;
+}
+
+.jp-DirListing-header {
+  flex: 0 0 auto;
+  display: flex;
+  flex-direction: row;
+  align-items: center;
+  overflow: hidden;
+  border-top: var(--jp-border-width) solid var(--jp-border-color2);
+  border-bottom: var(--jp-border-width) solid var(--jp-border-color1);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  z-index: 2;
+}
+
+.jp-DirListing-headerItem {
+  padding: 4px 12px 2px;
+  font-weight: 500;
+}
+
+.jp-DirListing-headerItem:hover {
+  background: var(--jp-layout-color2);
+}
+
+.jp-DirListing-headerItem.jp-id-name {
+  flex: 1 0 84px;
+}
+
+.jp-DirListing-headerItem.jp-id-modified {
+  flex: 0 0 112px;
+  border-left: var(--jp-border-width) solid var(--jp-border-color2);
+  text-align: right;
+}
+
+.jp-DirListing-headerItem.jp-id-filesize {
+  flex: 0 0 75px;
+  border-left: var(--jp-border-width) solid var(--jp-border-color2);
+  text-align: right;
+}
+
+.jp-id-narrow {
+  display: none;
+  flex: 0 0 5px;
+  padding: 4px;
+  border-left: var(--jp-border-width) solid var(--jp-border-color2);
+  text-align: right;
+  color: var(--jp-border-color2);
+}
+
+.jp-DirListing-narrow .jp-id-narrow {
+  display: block;
+}
+
+.jp-DirListing-narrow .jp-id-modified,
+.jp-DirListing-narrow .jp-DirListing-itemModified {
+  display: none;
+}
+
+.jp-DirListing-headerItem.jp-mod-selected {
+  font-weight: 600;
+}
+
+/* increase specificity to override bundled default */
+.jp-DirListing-content {
+  flex: 1 1 auto;
+  margin: 0;
+  padding: 0;
+  list-style-type: none;
+  overflow: auto;
+  background-color: var(--jp-layout-color1);
+}
+
+.jp-DirListing-content mark {
+  color: var(--jp-ui-font-color0);
+  background-color: transparent;
+  font-weight: bold;
+}
+
+.jp-DirListing-content .jp-DirListing-item.jp-mod-selected mark {
+  color: var(--jp-ui-inverse-font-color0);
+}
+
+/* Style the directory listing content when a user drops a file to upload */
+.jp-DirListing.jp-mod-native-drop .jp-DirListing-content {
+  outline: 5px dashed rgba(128, 128, 128, 0.5);
+  outline-offset: -10px;
+  cursor: copy;
+}
+
+.jp-DirListing-item {
+  display: flex;
+  flex-direction: row;
+  align-items: center;
+  padding: 4px 12px;
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.jp-DirListing-checkboxWrapper {
+  /* Increases hit area of checkbox. */
+  padding: 4px;
+}
+
+.jp-DirListing-header
+  .jp-DirListing-checkboxWrapper
+  + .jp-DirListing-headerItem {
+  padding-left: 4px;
+}
+
+.jp-DirListing-content .jp-DirListing-checkboxWrapper {
+  position: relative;
+  left: -4px;
+  margin: -4px 0 -4px -8px;
+}
+
+.jp-DirListing-checkboxWrapper.jp-mod-visible {
+  visibility: visible;
+}
+
+/* For devices that support hovering, hide checkboxes until hovered, selected...
+*/
+@media (hover: hover) {
+  .jp-DirListing-checkboxWrapper {
+    visibility: hidden;
+  }
+
+  .jp-DirListing-item:hover .jp-DirListing-checkboxWrapper,
+  .jp-DirListing-item.jp-mod-selected .jp-DirListing-checkboxWrapper {
+    visibility: visible;
+  }
+}
+
+.jp-DirListing-item[data-is-dot] {
+  opacity: 75%;
+}
+
+.jp-DirListing-item.jp-mod-selected {
+  color: var(--jp-ui-inverse-font-color1);
+  background: var(--jp-brand-color1);
+}
+
+.jp-DirListing-item.jp-mod-dropTarget {
+  background: var(--jp-brand-color3);
+}
+
+.jp-DirListing-item:hover:not(.jp-mod-selected) {
+  background: var(--jp-layout-color2);
+}
+
+.jp-DirListing-itemIcon {
+  flex: 0 0 20px;
+  margin-right: 4px;
+}
+
+.jp-DirListing-itemText {
+  flex: 1 0 64px;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+  user-select: none;
+}
+
+.jp-DirListing-itemText:focus {
+  outline-width: 2px;
+  outline-color: var(--jp-inverse-layout-color1);
+  outline-style: solid;
+  outline-offset: 1px;
+}
+
+.jp-DirListing-item.jp-mod-selected .jp-DirListing-itemText:focus {
+  outline-color: var(--jp-layout-color1);
+}
+
+.jp-DirListing-itemModified {
+  flex: 0 0 125px;
+  text-align: right;
+}
+
+.jp-DirListing-itemFileSize {
+  flex: 0 0 90px;
+  text-align: right;
+}
+
+.jp-DirListing-editor {
+  flex: 1 0 64px;
+  outline: none;
+  border: none;
+  color: var(--jp-ui-font-color1);
+  background-color: var(--jp-layout-color1);
+}
+
+.jp-DirListing-item.jp-mod-running .jp-DirListing-itemIcon::before {
+  color: var(--jp-success-color1);
+  content: '\25CF';
+  font-size: 8px;
+  position: absolute;
+  left: -8px;
+}
+
+.jp-DirListing-item.jp-mod-running.jp-mod-selected
+  .jp-DirListing-itemIcon::before {
+  color: var(--jp-ui-inverse-font-color1);
+}
+
+.jp-DirListing-item.lm-mod-drag-image,
+.jp-DirListing-item.jp-mod-selected.lm-mod-drag-image {
+  font-size: var(--jp-ui-font-size1);
+  padding-left: 4px;
+  margin-left: 4px;
+  width: 160px;
+  background-color: var(--jp-ui-inverse-font-color2);
+  box-shadow: var(--jp-elevation-z2);
+  border-radius: 0;
+  color: var(--jp-ui-font-color1);
+  transform: translateX(-40%) translateY(-58%);
+}
+
+.jp-Document {
+  min-width: 120px;
+  min-height: 120px;
+  outline: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Main OutputArea
+| OutputArea has a list of Outputs
+|----------------------------------------------------------------------------*/
+
+.jp-OutputArea {
+  overflow-y: auto;
+}
+
+.jp-OutputArea-child {
+  display: table;
+  table-layout: fixed;
+  width: 100%;
+  overflow: hidden;
+}
+
+.jp-OutputPrompt {
+  width: var(--jp-cell-prompt-width);
+  color: var(--jp-cell-outprompt-font-color);
+  font-family: var(--jp-cell-prompt-font-family);
+  padding: var(--jp-code-padding);
+  letter-spacing: var(--jp-cell-prompt-letter-spacing);
+  line-height: var(--jp-code-line-height);
+  font-size: var(--jp-code-font-size);
+  border: var(--jp-border-width) solid transparent;
+  opacity: var(--jp-cell-prompt-opacity);
+
+  /* Right align prompt text, don't wrap to handle large prompt numbers */
+  text-align: right;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+
+  /* Disable text selection */
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.jp-OutputArea-prompt {
+  display: table-cell;
+  vertical-align: top;
+}
+
+.jp-OutputArea-output {
+  display: table-cell;
+  width: 100%;
+  height: auto;
+  overflow: auto;
+  user-select: text;
+  -moz-user-select: text;
+  -webkit-user-select: text;
+  -ms-user-select: text;
+}
+
+.jp-OutputArea .jp-RenderedText {
+  padding-left: 1ch;
+}
+
+/**
+ * Prompt overlay.
+ */
+
+.jp-OutputArea-promptOverlay {
+  position: absolute;
+  top: 0;
+  width: var(--jp-cell-prompt-width);
+  height: 100%;
+  opacity: 0.5;
+}
+
+.jp-OutputArea-promptOverlay:hover {
+  background: var(--jp-layout-color2);
+  box-shadow: inset 0 0 1px var(--jp-inverse-layout-color0);
+  cursor: zoom-out;
+}
+
+.jp-mod-outputsScrolled .jp-OutputArea-promptOverlay:hover {
+  cursor: zoom-in;
+}
+
+/**
+ * Isolated output.
+ */
+.jp-OutputArea-output.jp-mod-isolated {
+  width: 100%;
+  display: block;
+}
+
+/*
+When drag events occur, `lm-mod-override-cursor` is added to the body.
+Because iframes steal all cursor events, the following two rules are necessary
+to suppress pointer events while resize drags are occurring. There may be a
+better solution to this problem.
+*/
+body.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated {
+  position: relative;
+}
+
+body.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated::before {
+  content: '';
+  position: absolute;
+  top: 0;
+  left: 0;
+  right: 0;
+  bottom: 0;
+  background: transparent;
+}
+
+/* pre */
+
+.jp-OutputArea-output pre {
+  border: none;
+  margin: 0;
+  padding: 0;
+  overflow-x: auto;
+  overflow-y: auto;
+  word-break: break-all;
+  word-wrap: break-word;
+  white-space: pre-wrap;
+}
+
+/* tables */
+
+.jp-OutputArea-output.jp-RenderedHTMLCommon table {
+  margin-left: 0;
+  margin-right: 0;
+}
+
+/* description lists */
+
+.jp-OutputArea-output dl,
+.jp-OutputArea-output dt,
+.jp-OutputArea-output dd {
+  display: block;
+}
+
+.jp-OutputArea-output dl {
+  width: 100%;
+  overflow: hidden;
+  padding: 0;
+  margin: 0;
+}
+
+.jp-OutputArea-output dt {
+  font-weight: bold;
+  float: left;
+  width: 20%;
+  padding: 0;
+  margin: 0;
+}
+
+.jp-OutputArea-output dd {
+  float: left;
+  width: 80%;
+  padding: 0;
+  margin: 0;
+}
+
+.jp-TrimmedOutputs pre {
+  background: var(--jp-layout-color3);
+  font-size: calc(var(--jp-code-font-size) * 1.4);
+  text-align: center;
+  text-transform: uppercase;
+}
+
+/* Hide the gutter in case of
+ *  - nested output areas (e.g. in the case of output widgets)
+ *  - mirrored output areas
+ */
+.jp-OutputArea .jp-OutputArea .jp-OutputArea-prompt {
+  display: none;
+}
+
+/* Hide empty lines in the output area, for instance due to cleared widgets */
+.jp-OutputArea-prompt:empty {
+  padding: 0;
+  border: 0;
+}
+
+/*-----------------------------------------------------------------------------
+| executeResult is added to any Output-result for the display of the object
+| returned by a cell
+|----------------------------------------------------------------------------*/
+
+.jp-OutputArea-output.jp-OutputArea-executeResult {
+  margin-left: 0;
+  width: 100%;
+}
+
+/* Text output with the Out[] prompt needs a top padding to match the
+ * alignment of the Out[] prompt itself.
+ */
+.jp-OutputArea-executeResult .jp-RenderedText.jp-OutputArea-output {
+  padding-top: var(--jp-code-padding);
+  border-top: var(--jp-border-width) solid transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| The Stdin output
+|----------------------------------------------------------------------------*/
+
+.jp-Stdin-prompt {
+  color: var(--jp-content-font-color0);
+  padding-right: var(--jp-code-padding);
+  vertical-align: baseline;
+  flex: 0 0 auto;
+}
+
+.jp-Stdin-input {
+  font-family: var(--jp-code-font-family);
+  font-size: inherit;
+  color: inherit;
+  background-color: inherit;
+  width: 42%;
+  min-width: 200px;
+
+  /* make sure input baseline aligns with prompt */
+  vertical-align: baseline;
+
+  /* padding + margin = 0.5em between prompt and cursor */
+  padding: 0 0.25em;
+  margin: 0 0.25em;
+  flex: 0 0 70%;
+}
+
+.jp-Stdin-input::placeholder {
+  opacity: 0;
+}
+
+.jp-Stdin-input:focus {
+  box-shadow: none;
+}
+
+.jp-Stdin-input:focus::placeholder {
+  opacity: 1;
+}
+
+/*-----------------------------------------------------------------------------
+| Output Area View
+|----------------------------------------------------------------------------*/
+
+.jp-LinkedOutputView .jp-OutputArea {
+  height: 100%;
+  display: block;
+}
+
+.jp-LinkedOutputView .jp-OutputArea-output:only-child {
+  height: 100%;
+}
+
+/*-----------------------------------------------------------------------------
+| Printing
+|----------------------------------------------------------------------------*/
+
+@media print {
+  .jp-OutputArea-child {
+    break-inside: avoid-page;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Mobile
+|----------------------------------------------------------------------------*/
+@media only screen and (max-width: 760px) {
+  .jp-OutputPrompt {
+    display: table-row;
+    text-align: left;
+  }
+
+  .jp-OutputArea-child .jp-OutputArea-output {
+    display: table-row;
+    margin-left: var(--jp-notebook-padding);
+  }
+}
+
+/* Trimmed outputs warning */
+.jp-TrimmedOutputs > a {
+  margin: 10px;
+  text-decoration: none;
+  cursor: pointer;
+}
+
+.jp-TrimmedOutputs > a:hover {
+  text-decoration: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Table of Contents
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-toc-active-width: 4px;
+}
+
+.jp-TableOfContents {
+  display: flex;
+  flex-direction: column;
+  background: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  height: 100%;
+}
+
+.jp-TableOfContents-placeholder {
+  text-align: center;
+}
+
+.jp-TableOfContents-placeholderContent {
+  color: var(--jp-content-font-color2);
+  padding: 8px;
+}
+
+.jp-TableOfContents-placeholderContent > h3 {
+  margin-bottom: var(--jp-content-heading-margin-bottom);
+}
+
+.jp-TableOfContents .jp-SidePanel-content {
+  overflow-y: auto;
+}
+
+.jp-TableOfContents-tree {
+  margin: 4px;
+}
+
+.jp-TableOfContents ol {
+  list-style-type: none;
+}
+
+/* stylelint-disable-next-line selector-max-type */
+.jp-TableOfContents li > ol {
+  /* Align left border with triangle icon center */
+  padding-left: 11px;
+}
+
+.jp-TableOfContents-content {
+  /* left margin for the active heading indicator */
+  margin: 0 0 0 var(--jp-private-toc-active-width);
+  padding: 0;
+  background-color: var(--jp-layout-color1);
+}
+
+.jp-tocItem {
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.jp-tocItem-heading {
+  display: flex;
+  cursor: pointer;
+}
+
+.jp-tocItem-heading:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-tocItem-content {
+  display: block;
+  padding: 4px 0;
+  white-space: nowrap;
+  text-overflow: ellipsis;
+  overflow-x: hidden;
+}
+
+.jp-tocItem-collapser {
+  height: 20px;
+  margin: 2px 2px 0;
+  padding: 0;
+  background: none;
+  border: none;
+  cursor: pointer;
+}
+
+.jp-tocItem-collapser:hover {
+  background-color: var(--jp-layout-color3);
+}
+
+/* Active heading indicator */
+
+.jp-tocItem-heading::before {
+  content: ' ';
+  background: transparent;
+  width: var(--jp-private-toc-active-width);
+  height: 24px;
+  position: absolute;
+  left: 0;
+  border-radius: var(--jp-border-radius);
+}
+
+.jp-tocItem-heading.jp-tocItem-active::before {
+  background-color: var(--jp-brand-color1);
+}
+
+.jp-tocItem-heading:hover.jp-tocItem-active::before {
+  background: var(--jp-brand-color0);
+  opacity: 1;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Collapser {
+  flex: 0 0 var(--jp-cell-collapser-width);
+  padding: 0;
+  margin: 0;
+  border: none;
+  outline: none;
+  background: transparent;
+  border-radius: var(--jp-border-radius);
+  opacity: 1;
+}
+
+.jp-Collapser-child {
+  display: block;
+  width: 100%;
+  box-sizing: border-box;
+
+  /* height: 100% doesn't work because the height of its parent is computed from content */
+  position: absolute;
+  top: 0;
+  bottom: 0;
+}
+
+/*-----------------------------------------------------------------------------
+| Printing
+|----------------------------------------------------------------------------*/
+
+/*
+Hiding collapsers in print mode.
+
+Note: input and output wrappers have "display: block" propery in print mode.
+*/
+
+@media print {
+  .jp-Collapser {
+    display: none;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Header/Footer
+|----------------------------------------------------------------------------*/
+
+/* Hidden by zero height by default */
+.jp-CellHeader,
+.jp-CellFooter {
+  height: 0;
+  width: 100%;
+  padding: 0;
+  margin: 0;
+  border: none;
+  outline: none;
+  background: transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Input
+|----------------------------------------------------------------------------*/
+
+/* All input areas */
+.jp-InputArea {
+  display: table;
+  table-layout: fixed;
+  width: 100%;
+  overflow: hidden;
+}
+
+.jp-InputArea-editor {
+  display: table-cell;
+  overflow: hidden;
+  vertical-align: top;
+
+  /* This is the non-active, default styling */
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  border-radius: 0;
+  background: var(--jp-cell-editor-background);
+}
+
+.jp-InputPrompt {
+  display: table-cell;
+  vertical-align: top;
+  width: var(--jp-cell-prompt-width);
+  color: var(--jp-cell-inprompt-font-color);
+  font-family: var(--jp-cell-prompt-font-family);
+  padding: var(--jp-code-padding);
+  letter-spacing: var(--jp-cell-prompt-letter-spacing);
+  opacity: var(--jp-cell-prompt-opacity);
+  line-height: var(--jp-code-line-height);
+  font-size: var(--jp-code-font-size);
+  border: var(--jp-border-width) solid transparent;
+
+  /* Right align prompt text, don't wrap to handle large prompt numbers */
+  text-align: right;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+
+  /* Disable text selection */
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Mobile
+|----------------------------------------------------------------------------*/
+@media only screen and (max-width: 760px) {
+  .jp-InputArea-editor {
+    display: table-row;
+    margin-left: var(--jp-notebook-padding);
+  }
+
+  .jp-InputPrompt {
+    display: table-row;
+    text-align: left;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Placeholder
+|----------------------------------------------------------------------------*/
+
+.jp-Placeholder {
+  display: table;
+  table-layout: fixed;
+  width: 100%;
+}
+
+.jp-Placeholder-prompt {
+  display: table-cell;
+  box-sizing: border-box;
+}
+
+.jp-Placeholder-content {
+  display: table-cell;
+  padding: 4px 6px;
+  border: 1px solid transparent;
+  border-radius: 0;
+  background: none;
+  box-sizing: border-box;
+  cursor: pointer;
+}
+
+.jp-Placeholder-contentContainer {
+  display: flex;
+}
+
+.jp-Placeholder-content:hover,
+.jp-InputPlaceholder > .jp-Placeholder-content:hover {
+  border-color: var(--jp-layout-color3);
+}
+
+.jp-Placeholder-content .jp-MoreHorizIcon {
+  width: 32px;
+  height: 16px;
+  border: 1px solid transparent;
+  border-radius: var(--jp-border-radius);
+}
+
+.jp-Placeholder-content .jp-MoreHorizIcon:hover {
+  border: 1px solid var(--jp-border-color1);
+  box-shadow: 0 0 2px 0 rgba(0, 0, 0, 0.25);
+  background-color: var(--jp-layout-color0);
+}
+
+.jp-PlaceholderText {
+  white-space: nowrap;
+  overflow-x: hidden;
+  color: var(--jp-inverse-layout-color3);
+  font-family: var(--jp-code-font-family);
+}
+
+.jp-InputPlaceholder > .jp-Placeholder-content {
+  border-color: var(--jp-cell-editor-border-color);
+  background: var(--jp-cell-editor-background);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Private CSS variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-cell-scrolling-output-offset: 5px;
+}
+
+/*-----------------------------------------------------------------------------
+| Cell
+|----------------------------------------------------------------------------*/
+
+.jp-Cell {
+  padding: var(--jp-cell-padding);
+  margin: 0;
+  border: none;
+  outline: none;
+  background: transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| Common input/output
+|----------------------------------------------------------------------------*/
+
+.jp-Cell-inputWrapper,
+.jp-Cell-outputWrapper {
+  display: flex;
+  flex-direction: row;
+  padding: 0;
+  margin: 0;
+
+  /* Added to reveal the box-shadow on the input and output collapsers. */
+  overflow: visible;
+}
+
+/* Only input/output areas inside cells */
+.jp-Cell-inputArea,
+.jp-Cell-outputArea {
+  flex: 1 1 auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Collapser
+|----------------------------------------------------------------------------*/
+
+/* Make the output collapser disappear when there is not output, but do so
+ * in a manner that leaves it in the layout and preserves its width.
+ */
+.jp-Cell.jp-mod-noOutputs .jp-Cell-outputCollapser {
+  border: none !important;
+  background: transparent !important;
+}
+
+.jp-Cell:not(.jp-mod-noOutputs) .jp-Cell-outputCollapser {
+  min-height: var(--jp-cell-collapser-min-height);
+}
+
+/*-----------------------------------------------------------------------------
+| Output
+|----------------------------------------------------------------------------*/
+
+/* Put a space between input and output when there IS output */
+.jp-Cell:not(.jp-mod-noOutputs) .jp-Cell-outputWrapper {
+  margin-top: 5px;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea {
+  overflow-y: auto;
+  max-height: 24em;
+  margin-left: var(--jp-private-cell-scrolling-output-offset);
+  resize: vertical;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea[style*='height'] {
+  max-height: unset;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea::after {
+  content: ' ';
+  box-shadow: inset 0 0 6px 2px rgb(0 0 0 / 30%);
+  width: 100%;
+  height: 100%;
+  position: sticky;
+  bottom: 0;
+  top: 0;
+  margin-top: -50%;
+  float: left;
+  display: block;
+  pointer-events: none;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-child {
+  padding-top: 6px;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-prompt {
+  width: calc(
+    var(--jp-cell-prompt-width) - var(--jp-private-cell-scrolling-output-offset)
+  );
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-promptOverlay {
+  left: calc(-1 * var(--jp-private-cell-scrolling-output-offset));
+}
+
+/*-----------------------------------------------------------------------------
+| CodeCell
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| MarkdownCell
+|----------------------------------------------------------------------------*/
+
+.jp-MarkdownOutput {
+  display: table-cell;
+  width: 100%;
+  margin-top: 0;
+  margin-bottom: 0;
+  padding-left: var(--jp-code-padding);
+}
+
+.jp-MarkdownOutput.jp-RenderedHTMLCommon {
+  overflow: auto;
+}
+
+/* collapseHeadingButton (show always if hiddenCellsButton is _not_ shown) */
+.jp-collapseHeadingButton {
+  display: flex;
+  min-height: var(--jp-cell-collapser-min-height);
+  font-size: var(--jp-code-font-size);
+  position: absolute;
+  background-color: transparent;
+  background-size: 25px;
+  background-repeat: no-repeat;
+  background-position-x: center;
+  background-position-y: top;
+  background-image: var(--jp-icon-caret-down);
+  right: 0;
+  top: 0;
+  bottom: 0;
+}
+
+.jp-collapseHeadingButton.jp-mod-collapsed {
+  background-image: var(--jp-icon-caret-right);
+}
+
+/*
+ set the container font size to match that of content
+ so that the nested collapse buttons have the right size
+*/
+.jp-MarkdownCell .jp-InputPrompt {
+  font-size: var(--jp-content-font-size1);
+}
+
+/*
+  Align collapseHeadingButton with cell top header
+  The font sizes are identical to the ones in packages/rendermime/style/base.css
+*/
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='1'] {
+  font-size: var(--jp-content-font-size5);
+  background-position-y: calc(0.3 * var(--jp-content-font-size5));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='2'] {
+  font-size: var(--jp-content-font-size4);
+  background-position-y: calc(0.3 * var(--jp-content-font-size4));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='3'] {
+  font-size: var(--jp-content-font-size3);
+  background-position-y: calc(0.3 * var(--jp-content-font-size3));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='4'] {
+  font-size: var(--jp-content-font-size2);
+  background-position-y: calc(0.3 * var(--jp-content-font-size2));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='5'] {
+  font-size: var(--jp-content-font-size1);
+  background-position-y: top;
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='6'] {
+  font-size: var(--jp-content-font-size0);
+  background-position-y: top;
+}
+
+/* collapseHeadingButton (show only on (hover,active) if hiddenCellsButton is shown) */
+.jp-Notebook.jp-mod-showHiddenCellsButton .jp-collapseHeadingButton {
+  display: none;
+}
+
+.jp-Notebook.jp-mod-showHiddenCellsButton
+  :is(.jp-MarkdownCell:hover, .jp-mod-active)
+  .jp-collapseHeadingButton {
+  display: flex;
+}
+
+/* showHiddenCellsButton (only show if jp-mod-showHiddenCellsButton is set, which
+is a consequence of the showHiddenCellsButton option in Notebook Settings)*/
+.jp-Notebook.jp-mod-showHiddenCellsButton .jp-showHiddenCellsButton {
+  margin-left: calc(var(--jp-cell-prompt-width) + 2 * var(--jp-code-padding));
+  margin-top: var(--jp-code-padding);
+  border: 1px solid var(--jp-border-color2);
+  background-color: var(--jp-border-color3) !important;
+  color: var(--jp-content-font-color0) !important;
+  display: flex;
+}
+
+.jp-Notebook.jp-mod-showHiddenCellsButton .jp-showHiddenCellsButton:hover {
+  background-color: var(--jp-border-color2) !important;
+}
+
+.jp-showHiddenCellsButton {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Printing
+|----------------------------------------------------------------------------*/
+
+/*
+Using block instead of flex to allow the use of the break-inside CSS property for
+cell outputs.
+*/
+
+@media print {
+  .jp-Cell-inputWrapper,
+  .jp-Cell-outputWrapper {
+    display: block;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-notebook-toolbar-padding: 2px 5px 2px 2px;
+}
+
+/*-----------------------------------------------------------------------------
+
+/*-----------------------------------------------------------------------------
+| Styles
+|----------------------------------------------------------------------------*/
+
+.jp-NotebookPanel-toolbar {
+  padding: var(--jp-notebook-toolbar-padding);
+
+  /* disable paint containment from lumino 2.0 default strict CSS containment */
+  contain: style size !important;
+}
+
+.jp-Toolbar-item.jp-Notebook-toolbarCellType .jp-select-wrapper.jp-mod-focused {
+  border: none;
+  box-shadow: none;
+}
+
+.jp-Notebook-toolbarCellTypeDropdown select {
+  height: 24px;
+  font-size: var(--jp-ui-font-size1);
+  line-height: 14px;
+  border-radius: 0;
+  display: block;
+}
+
+.jp-Notebook-toolbarCellTypeDropdown span {
+  top: 5px !important;
+}
+
+.jp-Toolbar-responsive-popup {
+  position: absolute;
+  height: fit-content;
+  display: flex;
+  flex-direction: row;
+  flex-wrap: wrap;
+  justify-content: flex-end;
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  background: var(--jp-toolbar-background);
+  min-height: var(--jp-toolbar-micro-height);
+  padding: var(--jp-notebook-toolbar-padding);
+  z-index: 1;
+  right: 0;
+  top: 0;
+}
+
+.jp-Toolbar > .jp-Toolbar-responsive-opener {
+  margin-left: auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+
+/*-----------------------------------------------------------------------------
+| Styles
+|----------------------------------------------------------------------------*/
+
+.jp-Notebook-ExecutionIndicator {
+  position: relative;
+  display: inline-block;
+  height: 100%;
+  z-index: 9997;
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip {
+  visibility: hidden;
+  height: auto;
+  width: max-content;
+  width: -moz-max-content;
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color1);
+  text-align: justify;
+  border-radius: 6px;
+  padding: 0 5px;
+  position: fixed;
+  display: table;
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip.up {
+  transform: translateX(-50%) translateY(-100%) translateY(-32px);
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip.down {
+  transform: translateX(calc(-100% + 16px)) translateY(5px);
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip.hidden {
+  display: none;
+}
+
+.jp-Notebook-ExecutionIndicator:hover .jp-Notebook-ExecutionIndicator-tooltip {
+  visibility: visible;
+}
+
+.jp-Notebook-ExecutionIndicator span {
+  font-size: var(--jp-ui-font-size1);
+  font-family: var(--jp-ui-font-family);
+  color: var(--jp-ui-font-color1);
+  line-height: 24px;
+  display: block;
+}
+
+.jp-Notebook-ExecutionIndicator-progress-bar {
+  display: flex;
+  justify-content: center;
+  height: 100%;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*
+ * Execution indicator
+ */
+.jp-tocItem-content::after {
+  content: '';
+
+  /* Must be identical to form a circle */
+  width: 12px;
+  height: 12px;
+  background: none;
+  border: none;
+  position: absolute;
+  right: 0;
+}
+
+.jp-tocItem-content[data-running='0']::after {
+  border-radius: 50%;
+  border: var(--jp-border-width) solid var(--jp-inverse-layout-color3);
+  background: none;
+}
+
+.jp-tocItem-content[data-running='1']::after {
+  border-radius: 50%;
+  border: var(--jp-border-width) solid var(--jp-inverse-layout-color3);
+  background-color: var(--jp-inverse-layout-color3);
+}
+
+.jp-tocItem-content[data-running='0'],
+.jp-tocItem-content[data-running='1'] {
+  margin-right: 12px;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-Notebook-footer {
+  height: 27px;
+  margin-left: calc(
+    var(--jp-cell-prompt-width) + var(--jp-cell-collapser-width) +
+      var(--jp-cell-padding)
+  );
+  width: calc(
+    100% -
+      (
+        var(--jp-cell-prompt-width) + var(--jp-cell-collapser-width) +
+          var(--jp-cell-padding) + var(--jp-cell-padding)
+      )
+  );
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  color: var(--jp-ui-font-color3);
+  margin-top: 6px;
+  background: none;
+  cursor: pointer;
+}
+
+.jp-Notebook-footer:focus {
+  border-color: var(--jp-cell-editor-active-border-color);
+}
+
+/* For devices that support hovering, hide footer until hover */
+@media (hover: hover) {
+  .jp-Notebook-footer {
+    opacity: 0;
+  }
+
+  .jp-Notebook-footer:focus,
+  .jp-Notebook-footer:hover {
+    opacity: 1;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Imports
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| CSS variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-side-by-side-output-size: 1fr;
+  --jp-side-by-side-resized-cell: var(--jp-side-by-side-output-size);
+  --jp-private-notebook-dragImage-width: 304px;
+  --jp-private-notebook-dragImage-height: 36px;
+  --jp-private-notebook-selected-color: var(--md-blue-400);
+  --jp-private-notebook-active-color: var(--md-green-400);
+}
+
+/*-----------------------------------------------------------------------------
+| Notebook
+|----------------------------------------------------------------------------*/
+
+/* stylelint-disable selector-max-class */
+
+.jp-NotebookPanel {
+  display: block;
+  height: 100%;
+}
+
+.jp-NotebookPanel.jp-Document {
+  min-width: 240px;
+  min-height: 120px;
+}
+
+.jp-Notebook {
+  padding: var(--jp-notebook-padding);
+  outline: none;
+  overflow: auto;
+  background: var(--jp-layout-color0);
+}
+
+.jp-Notebook.jp-mod-scrollPastEnd::after {
+  display: block;
+  content: '';
+  min-height: var(--jp-notebook-scroll-padding);
+}
+
+.jp-MainAreaWidget-ContainStrict .jp-Notebook * {
+  contain: strict;
+}
+
+.jp-Notebook .jp-Cell {
+  overflow: visible;
+}
+
+.jp-Notebook .jp-Cell .jp-InputPrompt {
+  cursor: move;
+}
+
+/*-----------------------------------------------------------------------------
+| Notebook state related styling
+|
+| The notebook and cells each have states, here are the possibilities:
+|
+| - Notebook
+|   - Command
+|   - Edit
+| - Cell
+|   - None
+|   - Active (only one can be active)
+|   - Selected (the cells actions are applied to)
+|   - Multiselected (when multiple selected, the cursor)
+|   - No outputs
+|----------------------------------------------------------------------------*/
+
+/* Command or edit modes */
+
+.jp-Notebook .jp-Cell:not(.jp-mod-active) .jp-InputPrompt {
+  opacity: var(--jp-cell-prompt-not-active-opacity);
+  color: var(--jp-cell-prompt-not-active-font-color);
+}
+
+.jp-Notebook .jp-Cell:not(.jp-mod-active) .jp-OutputPrompt {
+  opacity: var(--jp-cell-prompt-not-active-opacity);
+  color: var(--jp-cell-prompt-not-active-font-color);
+}
+
+/* cell is active */
+.jp-Notebook .jp-Cell.jp-mod-active .jp-Collapser {
+  background: var(--jp-brand-color1);
+}
+
+/* cell is dirty */
+.jp-Notebook .jp-Cell.jp-mod-dirty .jp-InputPrompt {
+  color: var(--jp-warn-color1);
+}
+
+.jp-Notebook .jp-Cell.jp-mod-dirty .jp-InputPrompt::before {
+  color: var(--jp-warn-color1);
+  content: '•';
+}
+
+.jp-Notebook .jp-Cell.jp-mod-active.jp-mod-dirty .jp-Collapser {
+  background: var(--jp-warn-color1);
+}
+
+/* collapser is hovered */
+.jp-Notebook .jp-Cell .jp-Collapser:hover {
+  box-shadow: var(--jp-elevation-z2);
+  background: var(--jp-brand-color1);
+  opacity: var(--jp-cell-collapser-not-active-hover-opacity);
+}
+
+/* cell is active and collapser is hovered */
+.jp-Notebook .jp-Cell.jp-mod-active .jp-Collapser:hover {
+  background: var(--jp-brand-color0);
+  opacity: 1;
+}
+
+/* Command mode */
+
+.jp-Notebook.jp-mod-commandMode .jp-Cell.jp-mod-selected {
+  background: var(--jp-notebook-multiselected-color);
+}
+
+.jp-Notebook.jp-mod-commandMode
+  .jp-Cell.jp-mod-active.jp-mod-selected:not(.jp-mod-multiSelected) {
+  background: transparent;
+}
+
+/* Edit mode */
+
+.jp-Notebook.jp-mod-editMode .jp-Cell.jp-mod-active .jp-InputArea-editor {
+  border: var(--jp-border-width) solid var(--jp-cell-editor-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+  background-color: var(--jp-cell-editor-active-background);
+}
+
+/*-----------------------------------------------------------------------------
+| Notebook drag and drop
+|----------------------------------------------------------------------------*/
+
+.jp-Notebook-cell.jp-mod-dropSource {
+  opacity: 0.5;
+}
+
+.jp-Notebook-cell.jp-mod-dropTarget,
+.jp-Notebook.jp-mod-commandMode
+  .jp-Notebook-cell.jp-mod-active.jp-mod-selected.jp-mod-dropTarget {
+  border-top-color: var(--jp-private-notebook-selected-color);
+  border-top-style: solid;
+  border-top-width: 2px;
+}
+
+.jp-dragImage {
+  display: block;
+  flex-direction: row;
+  width: var(--jp-private-notebook-dragImage-width);
+  height: var(--jp-private-notebook-dragImage-height);
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  background: var(--jp-cell-editor-background);
+  overflow: visible;
+}
+
+.jp-dragImage-singlePrompt {
+  box-shadow: 2px 2px 4px 0 rgba(0, 0, 0, 0.12);
+}
+
+.jp-dragImage .jp-dragImage-content {
+  flex: 1 1 auto;
+  z-index: 2;
+  font-size: var(--jp-code-font-size);
+  font-family: var(--jp-code-font-family);
+  line-height: var(--jp-code-line-height);
+  padding: var(--jp-code-padding);
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  background: var(--jp-cell-editor-background-color);
+  color: var(--jp-content-font-color3);
+  text-align: left;
+  margin: 4px 4px 4px 0;
+}
+
+.jp-dragImage .jp-dragImage-prompt {
+  flex: 0 0 auto;
+  min-width: 36px;
+  color: var(--jp-cell-inprompt-font-color);
+  padding: var(--jp-code-padding);
+  padding-left: 12px;
+  font-family: var(--jp-cell-prompt-font-family);
+  letter-spacing: var(--jp-cell-prompt-letter-spacing);
+  line-height: 1.9;
+  font-size: var(--jp-code-font-size);
+  border: var(--jp-border-width) solid transparent;
+}
+
+.jp-dragImage-multipleBack {
+  z-index: -1;
+  position: absolute;
+  height: 32px;
+  width: 300px;
+  top: 8px;
+  left: 8px;
+  background: var(--jp-layout-color2);
+  border: var(--jp-border-width) solid var(--jp-input-border-color);
+  box-shadow: 2px 2px 4px 0 rgba(0, 0, 0, 0.12);
+}
+
+/*-----------------------------------------------------------------------------
+| Cell toolbar
+|----------------------------------------------------------------------------*/
+
+.jp-NotebookTools {
+  display: block;
+  min-width: var(--jp-sidebar-min-width);
+  color: var(--jp-ui-font-color1);
+  background: var(--jp-layout-color1);
+
+  /* This is needed so that all font sizing of children done in ems is
+    * relative to this base size */
+  font-size: var(--jp-ui-font-size1);
+  overflow: auto;
+}
+
+.jp-ActiveCellTool {
+  padding: 12px 0;
+  display: flex;
+}
+
+.jp-ActiveCellTool-Content {
+  flex: 1 1 auto;
+}
+
+.jp-ActiveCellTool .jp-ActiveCellTool-CellContent {
+  background: var(--jp-cell-editor-background);
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  border-radius: 0;
+  min-height: 29px;
+}
+
+.jp-ActiveCellTool .jp-InputPrompt {
+  min-width: calc(var(--jp-cell-prompt-width) * 0.75);
+}
+
+.jp-ActiveCellTool-CellContent > pre {
+  padding: 5px 4px;
+  margin: 0;
+  white-space: normal;
+}
+
+.jp-MetadataEditorTool {
+  flex-direction: column;
+  padding: 12px 0;
+}
+
+.jp-RankedPanel > :not(:first-child) {
+  margin-top: 12px;
+}
+
+.jp-KeySelector select.jp-mod-styled {
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color0);
+  border: var(--jp-border-width) solid var(--jp-border-color1);
+}
+
+.jp-KeySelector label,
+.jp-MetadataEditorTool label,
+.jp-NumberSetter label {
+  line-height: 1.4;
+}
+
+.jp-NotebookTools .jp-select-wrapper {
+  margin-top: 4px;
+  margin-bottom: 0;
+}
+
+.jp-NumberSetter input {
+  width: 100%;
+  margin-top: 4px;
+}
+
+.jp-NotebookTools .jp-Collapse {
+  margin-top: 16px;
+}
+
+/*-----------------------------------------------------------------------------
+| Presentation Mode (.jp-mod-presentationMode)
+|----------------------------------------------------------------------------*/
+
+.jp-mod-presentationMode .jp-Notebook {
+  --jp-content-font-size1: var(--jp-content-presentation-font-size1);
+  --jp-code-font-size: var(--jp-code-presentation-font-size);
+}
+
+.jp-mod-presentationMode .jp-Notebook .jp-Cell .jp-InputPrompt,
+.jp-mod-presentationMode .jp-Notebook .jp-Cell .jp-OutputPrompt {
+  flex: 0 0 110px;
+}
+
+/*-----------------------------------------------------------------------------
+| Side-by-side Mode (.jp-mod-sideBySide)
+|----------------------------------------------------------------------------*/
+.jp-mod-sideBySide.jp-Notebook .jp-Notebook-cell {
+  margin-top: 3em;
+  margin-bottom: 3em;
+  margin-left: 5%;
+  margin-right: 5%;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell {
+  display: grid;
+  grid-template-columns: minmax(0, 1fr) min-content minmax(
+      0,
+      var(--jp-side-by-side-output-size)
+    );
+  grid-template-rows: auto minmax(0, 1fr) auto;
+  grid-template-areas:
+    'header header header'
+    'input handle output'
+    'footer footer footer';
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell.jp-mod-resizedCell {
+  grid-template-columns: minmax(0, 1fr) min-content minmax(
+      0,
+      var(--jp-side-by-side-resized-cell)
+    );
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellHeader {
+  grid-area: header;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-Cell-inputWrapper {
+  grid-area: input;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-Cell-outputWrapper {
+  /* overwrite the default margin (no vertical separation needed in side by side move */
+  margin-top: 0;
+  grid-area: output;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellFooter {
+  grid-area: footer;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellResizeHandle {
+  grid-area: handle;
+  user-select: none;
+  display: block;
+  height: 100%;
+  cursor: ew-resize;
+  padding: 0 var(--jp-cell-padding);
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellResizeHandle::after {
+  content: '';
+  display: block;
+  background: var(--jp-border-color2);
+  height: 100%;
+  width: 5px;
+}
+
+.jp-mod-sideBySide.jp-Notebook
+  .jp-CodeCell.jp-mod-resizedCell
+  .jp-CellResizeHandle::after {
+  background: var(--jp-border-color0);
+}
+
+.jp-CellResizeHandle {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Placeholder
+|----------------------------------------------------------------------------*/
+
+.jp-Cell-Placeholder {
+  padding-left: 55px;
+}
+
+.jp-Cell-Placeholder-wrapper {
+  background: #fff;
+  border: 1px solid;
+  border-color: #e5e6e9 #dfe0e4 #d0d1d5;
+  border-radius: 4px;
+  -webkit-border-radius: 4px;
+  margin: 10px 15px;
+}
+
+.jp-Cell-Placeholder-wrapper-inner {
+  padding: 15px;
+  position: relative;
+}
+
+.jp-Cell-Placeholder-wrapper-body {
+  background-repeat: repeat;
+  background-size: 50% auto;
+}
+
+.jp-Cell-Placeholder-wrapper-body div {
+  background: #f6f7f8;
+  background-image: -webkit-linear-gradient(
+    left,
+    #f6f7f8 0%,
+    #edeef1 20%,
+    #f6f7f8 40%,
+    #f6f7f8 100%
+  );
+  background-repeat: no-repeat;
+  background-size: 800px 104px;
+  height: 104px;
+  position: absolute;
+  right: 15px;
+  left: 15px;
+  top: 15px;
+}
+
+div.jp-Cell-Placeholder-h1 {
+  top: 20px;
+  height: 20px;
+  left: 15px;
+  width: 150px;
+}
+
+div.jp-Cell-Placeholder-h2 {
+  left: 15px;
+  top: 50px;
+  height: 10px;
+  width: 100px;
+}
+
+div.jp-Cell-Placeholder-content-1,
+div.jp-Cell-Placeholder-content-2,
+div.jp-Cell-Placeholder-content-3 {
+  left: 15px;
+  right: 15px;
+  height: 10px;
+}
+
+div.jp-Cell-Placeholder-content-1 {
+  top: 100px;
+}
+
+div.jp-Cell-Placeholder-content-2 {
+  top: 120px;
+}
+
+div.jp-Cell-Placeholder-content-3 {
+  top: 140px;
+}
+
+</style>
+<style type="text/css">
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*
+The following CSS variables define the main, public API for styling JupyterLab.
+These variables should be used by all plugins wherever possible. In other
+words, plugins should not define custom colors, sizes, etc unless absolutely
+necessary. This enables users to change the visual theme of JupyterLab
+by changing these variables.
+
+Many variables appear in an ordered sequence (0,1,2,3). These sequences
+are designed to work well together, so for example, `--jp-border-color1` should
+be used with `--jp-layout-color1`. The numbers have the following meanings:
+
+* 0: super-primary, reserved for special emphasis
+* 1: primary, most important under normal situations
+* 2: secondary, next most important under normal situations
+* 3: tertiary, next most important under normal situations
+
+Throughout JupyterLab, we are mostly following principles from Google's
+Material Design when selecting colors. We are not, however, following
+all of MD as it is not optimized for dense, information rich UIs.
+*/
+
+:root {
+  /* Elevation
+   *
+   * We style box-shadows using Material Design's idea of elevation. These particular numbers are taken from here:
+   *
+   * https://github.com/material-components/material-components-web
+   * https://material-components-web.appspot.com/elevation.html
+   */
+
+  --jp-shadow-base-lightness: 0;
+  --jp-shadow-umbra-color: rgba(
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    0.2
+  );
+  --jp-shadow-penumbra-color: rgba(
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    0.14
+  );
+  --jp-shadow-ambient-color: rgba(
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    0.12
+  );
+  --jp-elevation-z0: none;
+  --jp-elevation-z1: 0 2px 1px -1px var(--jp-shadow-umbra-color),
+    0 1px 1px 0 var(--jp-shadow-penumbra-color),
+    0 1px 3px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z2: 0 3px 1px -2px var(--jp-shadow-umbra-color),
+    0 2px 2px 0 var(--jp-shadow-penumbra-color),
+    0 1px 5px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z4: 0 2px 4px -1px var(--jp-shadow-umbra-color),
+    0 4px 5px 0 var(--jp-shadow-penumbra-color),
+    0 1px 10px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z6: 0 3px 5px -1px var(--jp-shadow-umbra-color),
+    0 6px 10px 0 var(--jp-shadow-penumbra-color),
+    0 1px 18px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z8: 0 5px 5px -3px var(--jp-shadow-umbra-color),
+    0 8px 10px 1px var(--jp-shadow-penumbra-color),
+    0 3px 14px 2px var(--jp-shadow-ambient-color);
+  --jp-elevation-z12: 0 7px 8px -4px var(--jp-shadow-umbra-color),
+    0 12px 17px 2px var(--jp-shadow-penumbra-color),
+    0 5px 22px 4px var(--jp-shadow-ambient-color);
+  --jp-elevation-z16: 0 8px 10px -5px var(--jp-shadow-umbra-color),
+    0 16px 24px 2px var(--jp-shadow-penumbra-color),
+    0 6px 30px 5px var(--jp-shadow-ambient-color);
+  --jp-elevation-z20: 0 10px 13px -6px var(--jp-shadow-umbra-color),
+    0 20px 31px 3px var(--jp-shadow-penumbra-color),
+    0 8px 38px 7px var(--jp-shadow-ambient-color);
+  --jp-elevation-z24: 0 11px 15px -7px var(--jp-shadow-umbra-color),
+    0 24px 38px 3px var(--jp-shadow-penumbra-color),
+    0 9px 46px 8px var(--jp-shadow-ambient-color);
+
+  /* Borders
+   *
+   * The following variables, specify the visual styling of borders in JupyterLab.
+   */
+
+  --jp-border-width: 1px;
+  --jp-border-color0: var(--md-grey-400);
+  --jp-border-color1: var(--md-grey-400);
+  --jp-border-color2: var(--md-grey-300);
+  --jp-border-color3: var(--md-grey-200);
+  --jp-inverse-border-color: var(--md-grey-600);
+  --jp-border-radius: 2px;
+
+  /* UI Fonts
+   *
+   * The UI font CSS variables are used for the typography all of the JupyterLab
+   * user interface elements that are not directly user generated content.
+   *
+   * The font sizing here is done assuming that the body font size of --jp-ui-font-size1
+   * is applied to a parent element. When children elements, such as headings, are sized
+   * in em all things will be computed relative to that body size.
+   */
+
+  --jp-ui-font-scale-factor: 1.2;
+  --jp-ui-font-size0: 0.83333em;
+  --jp-ui-font-size1: 13px; /* Base font size */
+  --jp-ui-font-size2: 1.2em;
+  --jp-ui-font-size3: 1.44em;
+  --jp-ui-font-family: system-ui, -apple-system, blinkmacsystemfont, 'Segoe UI',
+    helvetica, arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji',
+    'Segoe UI Symbol';
+
+  /*
+   * Use these font colors against the corresponding main layout colors.
+   * In a light theme, these go from dark to light.
+   */
+
+  /* Defaults use Material Design specification */
+  --jp-ui-font-color0: rgba(0, 0, 0, 1);
+  --jp-ui-font-color1: rgba(0, 0, 0, 0.87);
+  --jp-ui-font-color2: rgba(0, 0, 0, 0.54);
+  --jp-ui-font-color3: rgba(0, 0, 0, 0.38);
+
+  /*
+   * Use these against the brand/accent/warn/error colors.
+   * These will typically go from light to darker, in both a dark and light theme.
+   */
+
+  --jp-ui-inverse-font-color0: rgba(255, 255, 255, 1);
+  --jp-ui-inverse-font-color1: rgba(255, 255, 255, 1);
+  --jp-ui-inverse-font-color2: rgba(255, 255, 255, 0.7);
+  --jp-ui-inverse-font-color3: rgba(255, 255, 255, 0.5);
+
+  /* Content Fonts
+   *
+   * Content font variables are used for typography of user generated content.
+   *
+   * The font sizing here is done assuming that the body font size of --jp-content-font-size1
+   * is applied to a parent element. When children elements, such as headings, are sized
+   * in em all things will be computed relative to that body size.
+   */
+
+  --jp-content-line-height: 1.6;
+  --jp-content-font-scale-factor: 1.2;
+  --jp-content-font-size0: 0.83333em;
+  --jp-content-font-size1: 14px; /* Base font size */
+  --jp-content-font-size2: 1.2em;
+  --jp-content-font-size3: 1.44em;
+  --jp-content-font-size4: 1.728em;
+  --jp-content-font-size5: 2.0736em;
+
+  /* This gives a magnification of about 125% in presentation mode over normal. */
+  --jp-content-presentation-font-size1: 17px;
+  --jp-content-heading-line-height: 1;
+  --jp-content-heading-margin-top: 1.2em;
+  --jp-content-heading-margin-bottom: 0.8em;
+  --jp-content-heading-font-weight: 500;
+
+  /* Defaults use Material Design specification */
+  --jp-content-font-color0: rgba(0, 0, 0, 1);
+  --jp-content-font-color1: rgba(0, 0, 0, 0.87);
+  --jp-content-font-color2: rgba(0, 0, 0, 0.54);
+  --jp-content-font-color3: rgba(0, 0, 0, 0.38);
+  --jp-content-link-color: var(--md-blue-900);
+  --jp-content-font-family: system-ui, -apple-system, blinkmacsystemfont,
+    'Segoe UI', helvetica, arial, sans-serif, 'Apple Color Emoji',
+    'Segoe UI Emoji', 'Segoe UI Symbol';
+
+  /*
+   * Code Fonts
+   *
+   * Code font variables are used for typography of code and other monospaces content.
+   */
+
+  --jp-code-font-size: 13px;
+  --jp-code-line-height: 1.3077; /* 17px for 13px base */
+  --jp-code-padding: 5px; /* 5px for 13px base, codemirror highlighting needs integer px value */
+  --jp-code-font-family-default: menlo, consolas, 'DejaVu Sans Mono', monospace;
+  --jp-code-font-family: var(--jp-code-font-family-default);
+
+  /* This gives a magnification of about 125% in presentation mode over normal. */
+  --jp-code-presentation-font-size: 16px;
+
+  /* may need to tweak cursor width if you change font size */
+  --jp-code-cursor-width0: 1.4px;
+  --jp-code-cursor-width1: 2px;
+  --jp-code-cursor-width2: 4px;
+
+  /* Layout
+   *
+   * The following are the main layout colors use in JupyterLab. In a light
+   * theme these would go from light to dark.
+   */
+
+  --jp-layout-color0: white;
+  --jp-layout-color1: white;
+  --jp-layout-color2: var(--md-grey-200);
+  --jp-layout-color3: var(--md-grey-400);
+  --jp-layout-color4: var(--md-grey-600);
+
+  /* Inverse Layout
+   *
+   * The following are the inverse layout colors use in JupyterLab. In a light
+   * theme these would go from dark to light.
+   */
+
+  --jp-inverse-layout-color0: #111;
+  --jp-inverse-layout-color1: var(--md-grey-900);
+  --jp-inverse-layout-color2: var(--md-grey-800);
+  --jp-inverse-layout-color3: var(--md-grey-700);
+  --jp-inverse-layout-color4: var(--md-grey-600);
+
+  /* Brand/accent */
+
+  --jp-brand-color0: var(--md-blue-900);
+  --jp-brand-color1: var(--md-blue-700);
+  --jp-brand-color2: var(--md-blue-300);
+  --jp-brand-color3: var(--md-blue-100);
+  --jp-brand-color4: var(--md-blue-50);
+  --jp-accent-color0: var(--md-green-900);
+  --jp-accent-color1: var(--md-green-700);
+  --jp-accent-color2: var(--md-green-300);
+  --jp-accent-color3: var(--md-green-100);
+
+  /* State colors (warn, error, success, info) */
+
+  --jp-warn-color0: var(--md-orange-900);
+  --jp-warn-color1: var(--md-orange-700);
+  --jp-warn-color2: var(--md-orange-300);
+  --jp-warn-color3: var(--md-orange-100);
+  --jp-error-color0: var(--md-red-900);
+  --jp-error-color1: var(--md-red-700);
+  --jp-error-color2: var(--md-red-300);
+  --jp-error-color3: var(--md-red-100);
+  --jp-success-color0: var(--md-green-900);
+  --jp-success-color1: var(--md-green-700);
+  --jp-success-color2: var(--md-green-300);
+  --jp-success-color3: var(--md-green-100);
+  --jp-info-color0: var(--md-cyan-900);
+  --jp-info-color1: var(--md-cyan-700);
+  --jp-info-color2: var(--md-cyan-300);
+  --jp-info-color3: var(--md-cyan-100);
+
+  /* Cell specific styles */
+
+  --jp-cell-padding: 5px;
+  --jp-cell-collapser-width: 8px;
+  --jp-cell-collapser-min-height: 20px;
+  --jp-cell-collapser-not-active-hover-opacity: 0.6;
+  --jp-cell-editor-background: var(--md-grey-100);
+  --jp-cell-editor-border-color: var(--md-grey-300);
+  --jp-cell-editor-box-shadow: inset 0 0 2px var(--md-blue-300);
+  --jp-cell-editor-active-background: var(--jp-layout-color0);
+  --jp-cell-editor-active-border-color: var(--jp-brand-color1);
+  --jp-cell-prompt-width: 64px;
+  --jp-cell-prompt-font-family: var(--jp-code-font-family-default);
+  --jp-cell-prompt-letter-spacing: 0;
+  --jp-cell-prompt-opacity: 1;
+  --jp-cell-prompt-not-active-opacity: 0.5;
+  --jp-cell-prompt-not-active-font-color: var(--md-grey-700);
+
+  /* A custom blend of MD grey and blue 600
+   * See https://meyerweb.com/eric/tools/color-blend/#546E7A:1E88E5:5:hex */
+  --jp-cell-inprompt-font-color: #307fc1;
+
+  /* A custom blend of MD grey and orange 600
+   * https://meyerweb.com/eric/tools/color-blend/#546E7A:F4511E:5:hex */
+  --jp-cell-outprompt-font-color: #bf5b3d;
+
+  /* Notebook specific styles */
+
+  --jp-notebook-padding: 10px;
+  --jp-notebook-select-background: var(--jp-layout-color1);
+  --jp-notebook-multiselected-color: var(--md-blue-50);
+
+  /* The scroll padding is calculated to fill enough space at the bottom of the
+  notebook to show one single-line cell (with appropriate padding) at the top
+  when the notebook is scrolled all the way to the bottom. We also subtract one
+  pixel so that no scrollbar appears if we have just one single-line cell in the
+  notebook. This padding is to enable a 'scroll past end' feature in a notebook.
+  */
+  --jp-notebook-scroll-padding: calc(
+    100% - var(--jp-code-font-size) * var(--jp-code-line-height) -
+      var(--jp-code-padding) - var(--jp-cell-padding) - 1px
+  );
+
+  /* Rendermime styles */
+
+  --jp-rendermime-error-background: #fdd;
+  --jp-rendermime-table-row-background: var(--md-grey-100);
+  --jp-rendermime-table-row-hover-background: var(--md-light-blue-50);
+
+  /* Dialog specific styles */
+
+  --jp-dialog-background: rgba(0, 0, 0, 0.25);
+
+  /* Console specific styles */
+
+  --jp-console-padding: 10px;
+
+  /* Toolbar specific styles */
+
+  --jp-toolbar-border-color: var(--jp-border-color1);
+  --jp-toolbar-micro-height: 8px;
+  --jp-toolbar-background: var(--jp-layout-color1);
+  --jp-toolbar-box-shadow: 0 0 2px 0 rgba(0, 0, 0, 0.24);
+  --jp-toolbar-header-margin: 4px 4px 0 4px;
+  --jp-toolbar-active-background: var(--md-grey-300);
+
+  /* Statusbar specific styles */
+
+  --jp-statusbar-height: 24px;
+
+  /* Input field styles */
+
+  --jp-input-box-shadow: inset 0 0 2px var(--md-blue-300);
+  --jp-input-active-background: var(--jp-layout-color1);
+  --jp-input-hover-background: var(--jp-layout-color1);
+  --jp-input-background: var(--md-grey-100);
+  --jp-input-border-color: var(--jp-inverse-border-color);
+  --jp-input-active-border-color: var(--jp-brand-color1);
+  --jp-input-active-box-shadow-color: rgba(19, 124, 189, 0.3);
+
+  /* General editor styles */
+
+  --jp-editor-selected-background: #d9d9d9;
+  --jp-editor-selected-focused-background: #d7d4f0;
+  --jp-editor-cursor-color: var(--jp-ui-font-color0);
+
+  /* Code mirror specific styles */
+
+  --jp-mirror-editor-keyword-color: #008000;
+  --jp-mirror-editor-atom-color: #88f;
+  --jp-mirror-editor-number-color: #080;
+  --jp-mirror-editor-def-color: #00f;
+  --jp-mirror-editor-variable-color: var(--md-grey-900);
+  --jp-mirror-editor-variable-2-color: rgb(0, 54, 109);
+  --jp-mirror-editor-variable-3-color: #085;
+  --jp-mirror-editor-punctuation-color: #05a;
+  --jp-mirror-editor-property-color: #05a;
+  --jp-mirror-editor-operator-color: #a2f;
+  --jp-mirror-editor-comment-color: #408080;
+  --jp-mirror-editor-string-color: #ba2121;
+  --jp-mirror-editor-string-2-color: #708;
+  --jp-mirror-editor-meta-color: #a2f;
+  --jp-mirror-editor-qualifier-color: #555;
+  --jp-mirror-editor-builtin-color: #008000;
+  --jp-mirror-editor-bracket-color: #997;
+  --jp-mirror-editor-tag-color: #170;
+  --jp-mirror-editor-attribute-color: #00c;
+  --jp-mirror-editor-header-color: blue;
+  --jp-mirror-editor-quote-color: #090;
+  --jp-mirror-editor-link-color: #00c;
+  --jp-mirror-editor-error-color: #f00;
+  --jp-mirror-editor-hr-color: #999;
+
+  /*
+    RTC user specific colors.
+    These colors are used for the cursor, username in the editor,
+    and the icon of the user.
+  */
+
+  --jp-collaborator-color1: #ffad8e;
+  --jp-collaborator-color2: #dac83d;
+  --jp-collaborator-color3: #72dd76;
+  --jp-collaborator-color4: #00e4d0;
+  --jp-collaborator-color5: #45d4ff;
+  --jp-collaborator-color6: #e2b1ff;
+  --jp-collaborator-color7: #ff9de6;
+
+  /* Vega extension styles */
+
+  --jp-vega-background: white;
+
+  /* Sidebar-related styles */
+
+  --jp-sidebar-min-width: 250px;
+
+  /* Search-related styles */
+
+  --jp-search-toggle-off-opacity: 0.5;
+  --jp-search-toggle-hover-opacity: 0.8;
+  --jp-search-toggle-on-opacity: 1;
+  --jp-search-selected-match-background-color: rgb(245, 200, 0);
+  --jp-search-selected-match-color: black;
+  --jp-search-unselected-match-background-color: var(
+    --jp-inverse-layout-color0
+  );
+  --jp-search-unselected-match-color: var(--jp-ui-inverse-font-color0);
+
+  /* Icon colors that work well with light or dark backgrounds */
+  --jp-icon-contrast-color0: var(--md-purple-600);
+  --jp-icon-contrast-color1: var(--md-green-600);
+  --jp-icon-contrast-color2: var(--md-pink-600);
+  --jp-icon-contrast-color3: var(--md-blue-600);
+
+  /* Button colors */
+  --jp-accept-color-normal: var(--md-blue-700);
+  --jp-accept-color-hover: var(--md-blue-800);
+  --jp-accept-color-active: var(--md-blue-900);
+  --jp-warn-color-normal: var(--md-red-700);
+  --jp-warn-color-hover: var(--md-red-800);
+  --jp-warn-color-active: var(--md-red-900);
+  --jp-reject-color-normal: var(--md-grey-600);
+  --jp-reject-color-hover: var(--md-grey-700);
+  --jp-reject-color-active: var(--md-grey-800);
+
+  /* File or activity icons and switch semantic variables */
+  --jp-jupyter-icon-color: #f37626;
+  --jp-notebook-icon-color: #f37626;
+  --jp-json-icon-color: var(--md-orange-700);
+  --jp-console-icon-background-color: var(--md-blue-700);
+  --jp-console-icon-color: white;
+  --jp-terminal-icon-background-color: var(--md-grey-800);
+  --jp-terminal-icon-color: var(--md-grey-200);
+  --jp-text-editor-icon-color: var(--md-grey-700);
+  --jp-inspector-icon-color: var(--md-grey-700);
+  --jp-switch-color: var(--md-grey-400);
+  --jp-switch-true-position-color: var(--md-orange-900);
+}
+</style>
+<style type="text/css">
+/* Force rendering true colors when outputing to pdf */
+* {
+  -webkit-print-color-adjust: exact;
+}
+
+/* Misc */
+a.anchor-link {
+  display: none;
+}
+
+/* Input area styling */
+.jp-InputArea {
+  overflow: hidden;
+}
+
+.jp-InputArea-editor {
+  overflow: hidden;
+}
+
+.cm-editor.cm-s-jupyter .highlight pre {
+/* weird, but --jp-code-padding defined to be 5px but 4px horizontal padding is hardcoded for pre.cm-line */
+  padding: var(--jp-code-padding) 4px;
+  margin: 0;
+
+  font-family: inherit;
+  font-size: inherit;
+  line-height: inherit;
+  color: inherit;
+
+}
+
+.jp-OutputArea-output pre {
+  line-height: inherit;
+  font-family: inherit;
+}
+
+.jp-RenderedText pre {
+  color: var(--jp-content-font-color1);
+  font-size: var(--jp-code-font-size);
+}
+
+/* Hiding the collapser by default */
+.jp-Collapser {
+  display: none;
+}
+
+@page {
+    margin: 0.5in; /* Margin for each printed piece of paper */
+}
+
+@media print {
+  .jp-Cell-inputWrapper,
+  .jp-Cell-outputWrapper {
+    display: block;
+  }
+}
+</style>
+<!-- Load mathjax -->
+<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/latest.js?config=TeX-AMS_CHTML-full,Safe"> </script>
+<!-- MathJax configuration -->
+<script type="text/x-mathjax-config">
+    init_mathjax = function() {
+        if (window.MathJax) {
+        // MathJax loaded
+            MathJax.Hub.Config({
+                TeX: {
+                    equationNumbers: {
+                    autoNumber: "AMS",
+                    useLabelIds: true
+                    }
+                },
+                tex2jax: {
+                    inlineMath: [ ['$','$'], ["\\(","\\)"] ],
+                    displayMath: [ ['$$','$$'], ["\\[","\\]"] ],
+                    processEscapes: true,
+                    processEnvironments: true
+                },
+                displayAlign: 'center',
+                CommonHTML: {
+                    linebreaks: {
+                    automatic: true
+                    }
+                }
+            });
+
+            MathJax.Hub.Queue(["Typeset", MathJax.Hub]);
+        }
+    }
+    init_mathjax();
+    </script>
+<!-- End of mathjax configuration --><script type="module">
+  document.addEventListener("DOMContentLoaded", async () => {
+    const diagrams = document.querySelectorAll(".jp-Mermaid > pre.mermaid");
+    // do not load mermaidjs if not needed
+    if (!diagrams.length) {
+      return;
+    }
+    const mermaid = (await import("https://cdnjs.cloudflare.com/ajax/libs/mermaid/10.6.0/mermaid.esm.min.mjs")).default;
+    const parser = new DOMParser();
+
+    mermaid.initialize({
+      maxTextSize: 100000,
+      startOnLoad: false,
+      fontFamily: window
+        .getComputedStyle(document.body)
+        .getPropertyValue("--jp-ui-font-family"),
+      theme: document.querySelector("body[data-jp-theme-light='true']")
+        ? "default"
+        : "dark",
+    });
+
+    let _nextMermaidId = 0;
+
+    function makeMermaidImage(svg) {
+      const img = document.createElement("img");
+      const doc = parser.parseFromString(svg, "image/svg+xml");
+      const svgEl = doc.querySelector("svg");
+      const { maxWidth } = svgEl?.style || {};
+      const firstTitle = doc.querySelector("title");
+      const firstDesc = doc.querySelector("desc");
+
+      img.setAttribute("src", `data:image/svg+xml,${encodeURIComponent(svg)}`);
+      if (maxWidth) {
+        img.width = parseInt(maxWidth);
+      }
+      if (firstTitle) {
+        img.setAttribute("alt", firstTitle.textContent);
+      }
+      if (firstDesc) {
+        const caption = document.createElement("figcaption");
+        caption.className = "sr-only";
+        caption.textContent = firstDesc.textContent;
+        return [img, caption];
+      }
+      return [img];
+    }
+
+    async function makeMermaidError(text) {
+      let errorMessage = "";
+      try {
+        await mermaid.parse(text);
+      } catch (err) {
+        errorMessage = `${err}`;
+      }
+
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+<!-- End of mermaid configuration --></head>
+<body class="jp-Notebook" data-jp-theme-light="true" data-jp-theme-name="JupyterLab Light">
+<main>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h1 id="Subpixel-Accuracy-and-Uncertainty-Estimation">Subpixel Accuracy and Uncertainty Estimation<a class="anchor-link" href="#Subpixel-Accuracy-and-Uncertainty-Estimation">¶</a></h1><h2 id="How-is-subpixel-resolution-possible?">How is subpixel resolution possible?<a class="anchor-link" href="#How-is-subpixel-resolution-possible?">¶</a></h2><p>Tracking resolution can exceed the traditional diffraction-limited resolution of a microscope. If a particle's image spans multiple pixels, we can find its position with subpixel accuracy by taking the average position of these pixels, weighted by brightness. This is referred to as the particle's <em>centroid</em>.</p>
+<p>This tutorial will use simulated images to demonstrate how well trackpy's implementation of the Crocker--Grier algorithm determines particle locations under various conditions. It also demonstrates trackpy's uncertainty-estimation capability and introduces the most important sources of error in particle tracking experiments.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [1]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="o">%</span><span class="k">matplotlib</span> inline
+
+<span class="kn">import</span> <span class="nn">matplotlib</span> <span class="k">as</span> <span class="nn">mpl</span>
+<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
+<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+
+<span class="kn">import</span> <span class="nn">trackpy</span> <span class="k">as</span> <span class="nn">tp</span>
+<span class="kn">import</span> <span class="nn">pims</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="Demonstration-of-trackpy's-uncertainty-estimation-on-noisy-images">Demonstration of trackpy's uncertainty estimation on noisy images<a class="anchor-link" href="#Demonstration-of-trackpy's-uncertainty-estimation-on-noisy-images">¶</a></h2><p>We'll draw a simulated image with a single Gaussian blob. The class below will make it easy to generate copies of the images with simulated camera noise.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [2]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="k">class</span> <span class="nc">SimulatedFrame</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
+    
+    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">shape</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">uint8</span><span class="p">):</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">image</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">(</span><span class="n">shape</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">dtype</span><span class="p">)</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">_saturation</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">iinfo</span><span class="p">(</span><span class="n">dtype</span><span class="p">)</span><span class="o">.</span><span class="n">max</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">shape</span> <span class="o">=</span> <span class="n">shape</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">dtype</span> <span class="o">=</span><span class="n">dtype</span>
+        
+    <span class="k">def</span> <span class="nf">add_spot</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">pos</span><span class="p">,</span> <span class="n">amplitude</span><span class="p">,</span> <span class="n">r</span><span class="p">,</span> <span class="n">ecc</span><span class="o">=</span><span class="mi">0</span><span class="p">):</span>
+        <span class="s2">"Add a Gaussian spot to the frame."</span>
+        <span class="n">x</span><span class="p">,</span> <span class="n">y</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">meshgrid</span><span class="p">(</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="nb">list</span><span class="p">(</span><span class="nb">map</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">shape</span><span class="p">)))</span> <span class="o">-</span> <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">pos</span><span class="p">))</span>
+        <span class="n">spot</span> <span class="o">=</span> <span class="n">amplitude</span><span class="o">*</span><span class="n">np</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="o">-</span><span class="p">((</span><span class="n">x</span><span class="o">/</span><span class="p">(</span><span class="mi">1</span> <span class="o">-</span> <span class="n">ecc</span><span class="p">))</span><span class="o">**</span><span class="mi">2</span> <span class="o">+</span> <span class="p">(</span><span class="n">y</span><span class="o">*</span><span class="p">(</span><span class="mi">1</span> <span class="o">-</span> <span class="n">ecc</span><span class="p">))</span><span class="o">**</span><span class="mi">2</span><span class="p">)</span><span class="o">/</span><span class="p">(</span><span class="mi">2</span><span class="o">*</span><span class="n">r</span><span class="o">**</span><span class="mi">2</span><span class="p">))</span><span class="o">.</span><span class="n">T</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">image</span> <span class="o">+=</span> <span class="n">np</span><span class="o">.</span><span class="n">clip</span><span class="p">(</span><span class="n">spot</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">_saturation</span><span class="p">)</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">dtype</span><span class="p">)</span>
+        
+    <span class="k">def</span> <span class="nf">with_noise</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">noise_level</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="mi">0</span><span class="p">):</span>
+        <span class="s2">"Return a copy with noise."</span>
+        <span class="n">rs</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">RandomState</span><span class="p">(</span><span class="n">seed</span><span class="p">)</span>
+        <span class="n">noise</span> <span class="o">=</span> <span class="n">rs</span><span class="o">.</span><span class="n">randint</span><span class="p">(</span><span class="o">-</span><span class="n">noise_level</span><span class="p">,</span> <span class="n">noise_level</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
+        <span class="n">noisy_image</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">clip</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">image</span> <span class="o">+</span> <span class="n">noise</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">_saturation</span><span class="p">)</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">dtype</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">noisy_image</span>
+    
+    <span class="k">def</span> <span class="nf">add_noise</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">noise_level</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="mi">0</span><span class="p">):</span>
+        <span class="s2">"Modify in place with noise."</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">image</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">with_noise</span><span class="p">(</span><span class="n">noise_level</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="n">seed</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>The uncertainty in particle location can be estimated from the radius of gyration, the mask size (i.e., <code>diameter</code> specified to <code>locate()</code>) and the signal-to-noise ratio. The relation was worked out in a <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1305040/pdf/623.pdf">detailed study of particle tracking errors by Savin and Doyle</a>. For a hat-like spot, the uncertainty in location of a hat-like spot is</p>
+$$\epsilon = \frac{N}{S}\frac{l_\text{noise}}{2\pi^{1/2}}\frac{w^2}{a^2}$$<p>where $N/S$ is noise-to-signal; $l_n$=1 pixel, the length scale of noise correlation; and $w$ and $a$ are feature size and mask size respectively. (The uncertainty in the location of a Gaussian blob is similar and more computationally intensive.)</p>
+<p>Trackpy performs the computation and gives the results in the <code>'ep'</code> column of the results set returned by <code>locate</code> or <code>batch</code>. This can be used as an estimate of uncertainty.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [3]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">fig</span><span class="p">,</span> <span class="n">axes</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">)</span>
+
+<span class="n">frame</span> <span class="o">=</span> <span class="n">SimulatedFrame</span><span class="p">((</span><span class="mi">20</span><span class="p">,</span> <span class="mi">30</span><span class="p">))</span>
+<span class="n">frame</span><span class="o">.</span><span class="n">add_spot</span><span class="p">((</span><span class="mi">10</span><span class="p">,</span> <span class="mi">15</span><span class="p">),</span> <span class="mi">200</span><span class="p">,</span> <span class="mf">2.5</span><span class="p">)</span>
+
+<span class="k">for</span> <span class="n">ax</span><span class="p">,</span> <span class="n">noise_level</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="n">axes</span><span class="o">.</span><span class="n">ravel</span><span class="p">(),</span> <span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">20</span><span class="p">,</span> <span class="mi">40</span><span class="p">,</span> <span class="mi">90</span><span class="p">]):</span>
+    <span class="n">noisy_copy</span> <span class="o">=</span> <span class="n">frame</span><span class="o">.</span><span class="n">with_noise</span><span class="p">(</span><span class="n">noise_level</span><span class="p">)</span>
+    <span class="n">features</span> <span class="o">=</span> <span class="n">tp</span><span class="o">.</span><span class="n">locate</span><span class="p">(</span><span class="n">noisy_copy</span><span class="p">,</span> <span class="mi">13</span><span class="p">,</span> <span class="n">topn</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">engine</span><span class="o">=</span><span class="s1">'python'</span><span class="p">)</span>
+    <span class="n">tp</span><span class="o">.</span><span class="n">annotate</span><span class="p">(</span><span class="n">features</span><span class="p">,</span> <span class="n">noisy_copy</span><span class="p">,</span> <span class="n">plot_style</span><span class="o">=</span><span class="nb">dict</span><span class="p">(</span><span class="n">marker</span><span class="o">=</span><span class="s1">'x'</span><span class="p">),</span> <span class="n">imshow_style</span><span class="o">=</span><span class="nb">dict</span><span class="p">(</span><span class="n">vmin</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">vmax</span><span class="o">=</span><span class="mi">255</span><span class="p">),</span> <span class="n">ax</span><span class="o">=</span><span class="n">ax</span><span class="p">)</span>
+    <span class="n">dx</span><span class="p">,</span> <span class="n">dy</span><span class="p">,</span> <span class="n">ep</span> <span class="o">=</span> <span class="n">features</span><span class="p">[[</span><span class="s1">'x'</span><span class="p">,</span> <span class="s1">'y'</span><span class="p">,</span> <span class="s1">'ep'</span><span class="p">]]</span><span class="o">.</span><span class="n">iloc</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">values</span> <span class="o">-</span> <span class="p">[</span><span class="mi">16</span><span class="p">,</span> <span class="mi">10</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span>
+    <span class="n">ax</span><span class="o">.</span><span class="n">set</span><span class="p">(</span><span class="n">xticks</span><span class="o">=</span><span class="p">[</span><span class="mi">5</span><span class="p">,</span> <span class="mi">15</span><span class="p">,</span> <span class="mi">25</span><span class="p">],</span> <span class="n">yticks</span><span class="o">=</span><span class="p">[</span><span class="mi">5</span><span class="p">,</span> <span class="mi">15</span><span class="p">])</span>
+    <span class="n">ax</span><span class="o">.</span><span class="n">set</span><span class="p">(</span><span class="n">title</span><span class="o">=</span><span class="sa">r</span><span class="s1">'Signal/Noise = </span><span class="si">{signal}</span><span class="s1">/</span><span class="si">{noise}</span><span class="s1">'</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+              <span class="n">signal</span><span class="o">=</span><span class="mi">200</span><span class="p">,</span> <span class="n">noise</span><span class="o">=</span><span class="n">noise_level</span><span class="p">))</span>
+    <span class="n">ax</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="mf">0.5</span><span class="p">,</span> <span class="mf">0.1</span><span class="p">,</span> <span class="sa">r</span><span class="s1">'$\delta x=</span><span class="si">{dx:.2}</span><span class="s1">$  $\delta y=</span><span class="si">{dy:.2}</span><span class="s1">$'</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+                <span class="n">dx</span><span class="o">=</span><span class="nb">abs</span><span class="p">(</span><span class="n">dx</span><span class="p">),</span> <span class="n">dy</span><span class="o">=</span><span class="nb">abs</span><span class="p">(</span><span class="n">dy</span><span class="p">)),</span> <span class="n">ha</span><span class="o">=</span><span class="s1">'center'</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">'white'</span><span class="p">,</span> <span class="n">transform</span><span class="o">=</span><span class="n">ax</span><span class="o">.</span><span class="n">transAxes</span><span class="p">)</span>
+    <span class="n">ax</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="mf">0.05</span><span class="p">,</span> <span class="mf">0.85</span><span class="p">,</span> <span class="sa">r</span><span class="s1">'$\epsilon=</span><span class="si">{ep:.2}</span><span class="s1">$'</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">ep</span><span class="o">=</span><span class="nb">abs</span><span class="p">(</span><span class="n">ep</span><span class="p">)),</span> <span class="n">ha</span><span class="o">=</span><span class="s1">'left'</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">'white'</span><span class="p">,</span>
+            <span class="n">transform</span><span class="o">=</span><span class="n">ax</span><span class="o">.</span><span class="n">transAxes</span><span class="p">)</span>
+<span class="n">fig</span><span class="o">.</span><span class="n">subplots_adjust</span><span class="p">()</span>
+</pre></div>
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+</div>
+</div>
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+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="The-effect-of-diameter-on-precision">The effect of <code>diameter</code> on precision<a class="anchor-link" href="#The-effect-of-diameter-on-precision">¶</a></h2><p>The size of the feature, as specified in the call to the <code>locate</code> function, has an important effect of the precision. If a user underestimates the particle's diameter, precision suffers. Thus, it is best to err on the high side, although this a larger diameter comes at some cost in performance.</p>
+<p>As demonstrated below, a too-small <code>diameter</code> often biases the location toward the pixel edges.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
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+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [4]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">good_results</span> <span class="o">=</span> <span class="p">[]</span>
+<span class="n">bad_results</span> <span class="o">=</span> <span class="p">[]</span>
+<span class="n">steps</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="n">num</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">endpoint</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+<span class="k">for</span> <span class="n">s</span> <span class="ow">in</span> <span class="n">steps</span><span class="p">:</span>
+    <span class="n">frame</span> <span class="o">=</span> <span class="n">SimulatedFrame</span><span class="p">((</span><span class="mi">20</span><span class="p">,</span> <span class="mi">30</span><span class="p">))</span>
+    <span class="n">frame</span><span class="o">.</span><span class="n">add_spot</span><span class="p">((</span><span class="mi">10</span><span class="p">,</span> <span class="mi">15</span> <span class="o">+</span> <span class="n">s</span><span class="p">),</span> <span class="mi">200</span><span class="p">,</span> <span class="mf">2.5</span><span class="p">)</span>
+    <span class="n">feature</span> <span class="o">=</span> <span class="n">tp</span><span class="o">.</span><span class="n">locate</span><span class="p">(</span><span class="n">frame</span><span class="o">.</span><span class="n">image</span><span class="p">,</span> <span class="mi">13</span><span class="p">,</span> <span class="n">topn</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">preprocess</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">engine</span><span class="o">=</span><span class="s1">'python'</span><span class="p">)</span>
+    <span class="n">good_results</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">feature</span><span class="p">)</span>
+    <span class="n">feature</span> <span class="o">=</span> <span class="n">tp</span><span class="o">.</span><span class="n">locate</span><span class="p">(</span><span class="n">frame</span><span class="o">.</span><span class="n">image</span><span class="p">,</span> <span class="mi">9</span><span class="p">,</span> <span class="n">topn</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">preprocess</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">engine</span><span class="o">=</span><span class="s1">'python'</span><span class="p">)</span>
+    <span class="n">bad_results</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">feature</span><span class="p">)</span>
+    
+<span class="n">good_df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">([</span><span class="n">pd</span><span class="o">.</span><span class="n">concat</span><span class="p">(</span><span class="n">good_results</span><span class="p">)[</span><span class="s1">'x'</span><span class="p">]</span><span class="o">.</span><span class="n">reset_index</span><span class="p">(</span><span class="n">drop</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> <span class="o">-</span> <span class="mi">15</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">(</span><span class="n">steps</span><span class="p">,</span> <span class="n">name</span><span class="o">=</span><span class="s1">'true x'</span><span class="p">)])</span><span class="o">.</span><span class="n">T</span>
+<span class="n">bad_df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">([</span><span class="n">pd</span><span class="o">.</span><span class="n">concat</span><span class="p">(</span><span class="n">bad_results</span><span class="p">)[</span><span class="s1">'x'</span><span class="p">]</span><span class="o">.</span><span class="n">reset_index</span><span class="p">(</span><span class="n">drop</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> <span class="o">-</span> <span class="mi">15</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">(</span><span class="n">steps</span><span class="p">,</span> <span class="n">name</span><span class="o">=</span><span class="s1">'true x'</span><span class="p">)])</span><span class="o">.</span><span class="n">T</span>
+
+<span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">()</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">plot</span><span class="p">([</span><span class="o">-</span><span class="mf">0.1</span><span class="p">,</span> <span class="mf">1.1</span><span class="p">],</span> <span class="p">[</span><span class="o">-</span><span class="mf">0.1</span><span class="p">,</span> <span class="mf">1.1</span><span class="p">],</span> <span class="n">color</span><span class="o">=</span><span class="s1">'gray'</span><span class="p">)</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">bad_df</span><span class="p">[</span><span class="s1">'true x'</span><span class="p">],</span> <span class="n">bad_df</span><span class="p">[</span><span class="s1">'x'</span><span class="p">],</span> <span class="n">marker</span><span class="o">=</span><span class="s1">'s'</span><span class="p">,</span> <span class="n">lw</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">mfc</span><span class="o">=</span><span class="s1">'r'</span><span class="p">,</span> <span class="n">mec</span><span class="o">=</span><span class="s1">'r'</span><span class="p">,</span> <span class="n">mew</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">'diameter=9'</span><span class="p">)</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">good_df</span><span class="p">[</span><span class="s1">'true x'</span><span class="p">],</span> <span class="n">good_df</span><span class="p">[</span><span class="s1">'x'</span><span class="p">],</span> <span class="n">marker</span><span class="o">=</span><span class="s1">'o'</span><span class="p">,</span> <span class="n">lw</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">mfc</span><span class="o">=</span><span class="s1">'k'</span><span class="p">,</span> <span class="n">mec</span><span class="o">=</span><span class="s1">'k'</span><span class="p">,</span> <span class="n">mew</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">'diameter=13'</span><span class="p">)</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">set</span><span class="p">(</span><span class="n">xlabel</span><span class="o">=</span><span class="sa">r</span><span class="s1">'ground truth $x$ mod 1'</span><span class="p">,</span> <span class="n">ylabel</span><span class="o">=</span><span class="sa">r</span><span class="s1">'measured $x$ mod 1'</span><span class="p">)</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">set</span><span class="p">(</span><span class="n">xlim</span><span class="o">=</span><span class="p">(</span><span class="o">-</span><span class="mf">0.1</span><span class="p">,</span> <span class="mf">1.1</span><span class="p">),</span> <span class="n">ylim</span><span class="o">=</span><span class="p">(</span><span class="o">-</span><span class="mf">0.1</span><span class="p">,</span> <span class="mf">1.1</span><span class="p">))</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">legend</span><span class="p">(</span><span class="n">loc</span><span class="o">=</span><span class="s1">'best'</span><span class="p">);</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
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+<h2 id="How-tracking-errors-can-qualitatively-affect-physical-interpretation">How tracking errors can qualitatively affect physical interpretation<a class="anchor-link" href="#How-tracking-errors-can-qualitatively-affect-physical-interpretation">¶</a></h2><p>Random errors in particle tracking can lead to systematic errors in the derived statistics, such as mean squared displacement, that are qualitatively misleading. The nature of the distortion depends on the particulars of the experiment. For simple Brownian diffusion---a random walk---random errors in locating a particle add a constant offset to the mean squared displacement, $\langle \Delta r^2\rangle$. This and other cases are derived in detail in <a href="http://dx.doi.org/10.1529/biophysj.104.042457">the paper by Savin and Doyle</a>.</p>
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+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [5]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">N</span> <span class="o">=</span> <span class="mi">10000</span>
+<span class="n">traj</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">randn</span><span class="p">(</span><span class="n">N</span><span class="p">,</span> <span class="mi">2</span><span class="p">)</span><span class="o">.</span><span class="n">cumsum</span><span class="p">(</span><span class="mi">0</span><span class="p">),</span> <span class="n">columns</span><span class="o">=</span><span class="p">[</span><span class="s1">'x'</span><span class="p">,</span> <span class="s1">'y'</span><span class="p">])</span>
+<span class="n">noisy_traj</span> <span class="o">=</span> <span class="n">traj</span> <span class="o">+</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">randn</span><span class="p">(</span><span class="n">N</span><span class="p">,</span> <span class="mi">2</span><span class="p">)</span>
+<span class="n">traj</span><span class="p">[</span><span class="s1">'frame'</span><span class="p">]</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="n">N</span><span class="p">)</span>
+<span class="n">noisy_traj</span><span class="p">[</span><span class="s1">'frame'</span><span class="p">]</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="n">N</span><span class="p">)</span>
+</pre></div>
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+</div>
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+<div class="jp-InputPrompt jp-InputArea-prompt">In [6]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">()</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">tp</span><span class="o">.</span><span class="n">msd</span><span class="p">(</span><span class="n">traj</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">)[</span><span class="s1">'msd'</span><span class="p">],</span> <span class="n">label</span><span class="o">=</span><span class="s1">'random walk'</span><span class="p">)</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">tp</span><span class="o">.</span><span class="n">msd</span><span class="p">(</span><span class="n">noisy_traj</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">)[</span><span class="s1">'msd'</span><span class="p">],</span> <span class="n">label</span><span class="o">=</span><span class="s1">'random walk + random noise'</span><span class="p">)</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">set</span><span class="p">(</span><span class="n">xscale</span><span class="o">=</span><span class="s1">'log'</span><span class="p">,</span> <span class="n">yscale</span><span class="o">=</span><span class="s1">'log'</span><span class="p">)</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">set</span><span class="p">(</span><span class="n">xlabel</span><span class="o">=</span><span class="sa">r</span><span class="s1">'$t$ [s]'</span><span class="p">,</span> <span class="n">ylabel</span><span class="o">=</span><span class="sa">r</span><span class="s1">'$\langle \Delta r^2 \rangle$ [\textmu m$^2$]'</span><span class="p">);</span>
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+  <a href="../_sources/tutorial/uncertainty.rst.txt"
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+    <p>
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diff --git a/trackpy/v0.6.2/tutorial/walkthrough.html b/trackpy/v0.6.2/tutorial/walkthrough.html
new file mode 100644
index 00000000..842ef077
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+++ b/trackpy/v0.6.2/tutorial/walkthrough.html
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+
+.lm-DockPanel-handle {
+  z-index: 2;
+}
+
+.lm-DockPanel-handle.lm-mod-hidden {
+  display: none !important;
+}
+
+.lm-DockPanel-handle:after {
+  position: absolute;
+  top: 0;
+  left: 0;
+  width: 100%;
+  height: 100%;
+  content: '';
+}
+
+.lm-DockPanel-handle[data-orientation='horizontal'] {
+  cursor: ew-resize;
+}
+
+.lm-DockPanel-handle[data-orientation='vertical'] {
+  cursor: ns-resize;
+}
+
+.lm-DockPanel-handle[data-orientation='horizontal']:after {
+  left: 50%;
+  min-width: 8px;
+  transform: translateX(-50%);
+}
+
+.lm-DockPanel-handle[data-orientation='vertical']:after {
+  top: 50%;
+  min-height: 8px;
+  transform: translateY(-50%);
+}
+
+.lm-DockPanel-overlay {
+  z-index: 3;
+  box-sizing: border-box;
+  pointer-events: none;
+}
+
+.lm-DockPanel-overlay.lm-mod-hidden {
+  display: none !important;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-Menu {
+  z-index: 10000;
+  position: absolute;
+  white-space: nowrap;
+  overflow-x: hidden;
+  overflow-y: auto;
+  outline: none;
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.lm-Menu-content {
+  margin: 0;
+  padding: 0;
+  display: table;
+  list-style-type: none;
+}
+
+.lm-Menu-item {
+  display: table-row;
+}
+
+.lm-Menu-item.lm-mod-hidden,
+.lm-Menu-item.lm-mod-collapsed {
+  display: none !important;
+}
+
+.lm-Menu-itemIcon,
+.lm-Menu-itemSubmenuIcon {
+  display: table-cell;
+  text-align: center;
+}
+
+.lm-Menu-itemLabel {
+  display: table-cell;
+  text-align: left;
+}
+
+.lm-Menu-itemShortcut {
+  display: table-cell;
+  text-align: right;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-MenuBar {
+  outline: none;
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.lm-MenuBar-content {
+  margin: 0;
+  padding: 0;
+  display: flex;
+  flex-direction: row;
+  list-style-type: none;
+}
+
+.lm-MenuBar-item {
+  box-sizing: border-box;
+}
+
+.lm-MenuBar-itemIcon,
+.lm-MenuBar-itemLabel {
+  display: inline-block;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-ScrollBar {
+  display: flex;
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.lm-ScrollBar[data-orientation='horizontal'] {
+  flex-direction: row;
+}
+
+.lm-ScrollBar[data-orientation='vertical'] {
+  flex-direction: column;
+}
+
+.lm-ScrollBar-button {
+  box-sizing: border-box;
+  flex: 0 0 auto;
+}
+
+.lm-ScrollBar-track {
+  box-sizing: border-box;
+  position: relative;
+  overflow: hidden;
+  flex: 1 1 auto;
+}
+
+.lm-ScrollBar-thumb {
+  box-sizing: border-box;
+  position: absolute;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-SplitPanel-child {
+  z-index: 0;
+}
+
+.lm-SplitPanel-handle {
+  z-index: 1;
+}
+
+.lm-SplitPanel-handle.lm-mod-hidden {
+  display: none !important;
+}
+
+.lm-SplitPanel-handle:after {
+  position: absolute;
+  top: 0;
+  left: 0;
+  width: 100%;
+  height: 100%;
+  content: '';
+}
+
+.lm-SplitPanel[data-orientation='horizontal'] > .lm-SplitPanel-handle {
+  cursor: ew-resize;
+}
+
+.lm-SplitPanel[data-orientation='vertical'] > .lm-SplitPanel-handle {
+  cursor: ns-resize;
+}
+
+.lm-SplitPanel[data-orientation='horizontal'] > .lm-SplitPanel-handle:after {
+  left: 50%;
+  min-width: 8px;
+  transform: translateX(-50%);
+}
+
+.lm-SplitPanel[data-orientation='vertical'] > .lm-SplitPanel-handle:after {
+  top: 50%;
+  min-height: 8px;
+  transform: translateY(-50%);
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-TabBar {
+  display: flex;
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.lm-TabBar[data-orientation='horizontal'] {
+  flex-direction: row;
+  align-items: flex-end;
+}
+
+.lm-TabBar[data-orientation='vertical'] {
+  flex-direction: column;
+  align-items: flex-end;
+}
+
+.lm-TabBar-content {
+  margin: 0;
+  padding: 0;
+  display: flex;
+  flex: 1 1 auto;
+  list-style-type: none;
+}
+
+.lm-TabBar[data-orientation='horizontal'] > .lm-TabBar-content {
+  flex-direction: row;
+}
+
+.lm-TabBar[data-orientation='vertical'] > .lm-TabBar-content {
+  flex-direction: column;
+}
+
+.lm-TabBar-tab {
+  display: flex;
+  flex-direction: row;
+  box-sizing: border-box;
+  overflow: hidden;
+  touch-action: none; /* Disable native Drag/Drop */
+}
+
+.lm-TabBar-tabIcon,
+.lm-TabBar-tabCloseIcon {
+  flex: 0 0 auto;
+}
+
+.lm-TabBar-tabLabel {
+  flex: 1 1 auto;
+  overflow: hidden;
+  white-space: nowrap;
+}
+
+.lm-TabBar-tabInput {
+  user-select: all;
+  width: 100%;
+  box-sizing: border-box;
+}
+
+.lm-TabBar-tab.lm-mod-hidden {
+  display: none !important;
+}
+
+.lm-TabBar-addButton.lm-mod-hidden {
+  display: none !important;
+}
+
+.lm-TabBar.lm-mod-dragging .lm-TabBar-tab {
+  position: relative;
+}
+
+.lm-TabBar.lm-mod-dragging[data-orientation='horizontal'] .lm-TabBar-tab {
+  left: 0;
+  transition: left 150ms ease;
+}
+
+.lm-TabBar.lm-mod-dragging[data-orientation='vertical'] .lm-TabBar-tab {
+  top: 0;
+  transition: top 150ms ease;
+}
+
+.lm-TabBar.lm-mod-dragging .lm-TabBar-tab.lm-mod-dragging {
+  transition: none;
+}
+
+.lm-TabBar-tabLabel .lm-TabBar-tabInput {
+  user-select: all;
+  width: 100%;
+  box-sizing: border-box;
+  background: inherit;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-TabPanel-tabBar {
+  z-index: 1;
+}
+
+.lm-TabPanel-stackedPanel {
+  z-index: 0;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Collapse {
+  display: flex;
+  flex-direction: column;
+  align-items: stretch;
+}
+
+.jp-Collapse-header {
+  padding: 1px 12px;
+  background-color: var(--jp-layout-color1);
+  border-bottom: solid var(--jp-border-width) var(--jp-border-color2);
+  color: var(--jp-ui-font-color1);
+  cursor: pointer;
+  display: flex;
+  align-items: center;
+  font-size: var(--jp-ui-font-size0);
+  font-weight: 600;
+  text-transform: uppercase;
+  user-select: none;
+}
+
+.jp-Collapser-icon {
+  height: 16px;
+}
+
+.jp-Collapse-header-collapsed .jp-Collapser-icon {
+  transform: rotate(-90deg);
+  margin: auto 0;
+}
+
+.jp-Collapser-title {
+  line-height: 25px;
+}
+
+.jp-Collapse-contents {
+  padding: 0 12px;
+  background-color: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  overflow: auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/* This file was auto-generated by ensureUiComponents() in @jupyterlab/buildutils */
+
+/**
+ * (DEPRECATED) Support for consuming icons as CSS background images
+ */
+
+/* Icons urls */
+
+:root {
+  --jp-icon-add-above: url(data:image/svg+xml;base64,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);
+  --jp-icon-add-below: url(data:image/svg+xml;base64,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);
+  --jp-icon-add: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE5IDEzaC02djZoLTJ2LTZINXYtMmg2VjVoMnY2aDZ2MnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-bell: url(data:image/svg+xml;base64,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);
+  --jp-icon-bug-dot: url(data:image/svg+xml;base64,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);
+  --jp-icon-bug: url(data:image/svg+xml;base64,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);
+  --jp-icon-build: url(data:image/svg+xml;base64,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);
+  --jp-icon-caret-down-empty-thin: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwIDIwIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwb2x5Z29uIGNsYXNzPSJzdDEiIHBvaW50cz0iOS45LDEzLjYgMy42LDcuNCA0LjQsNi42IDkuOSwxMi4yIDE1LjQsNi43IDE2LjEsNy40ICIvPgoJPC9nPgo8L3N2Zz4K);
+  --jp-icon-caret-down-empty: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik01LjIsNS45TDksOS43bDMuOC0zLjhsMS4yLDEuMmwtNC45LDVsLTQuOS01TDUuMiw1Ljl6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-caret-down: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik01LjIsNy41TDksMTEuMmwzLjgtMy44SDUuMnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-caret-left: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwYXRoIGQ9Ik0xMC44LDEyLjhMNy4xLDlsMy44LTMuOGwwLDcuNkgxMC44eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-caret-right: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik03LjIsNS4yTDEwLjksOWwtMy44LDMuOFY1LjJINy4yeiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-caret-up-empty-thin: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwIDIwIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwb2x5Z29uIGNsYXNzPSJzdDEiIHBvaW50cz0iMTUuNCwxMy4zIDkuOSw3LjcgNC40LDEzLjIgMy42LDEyLjUgOS45LDYuMyAxNi4xLDEyLjYgIi8+Cgk8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-caret-up: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwYXRoIGQ9Ik01LjIsMTAuNUw5LDYuOGwzLjgsMy44SDUuMnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-case-sensitive: url(data:image/svg+xml;base64,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);
+  --jp-icon-check: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIj4KICAgIDxwYXRoIGQ9Ik05IDE2LjE3TDQuODMgMTJsLTEuNDIgMS40MUw5IDE5IDIxIDdsLTEuNDEtMS40MXoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-circle-empty: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyIDJDNi40NyAyIDIgNi40NyAyIDEyczQuNDcgMTAgMTAgMTAgMTAtNC40NyAxMC0xMFMxNy41MyAyIDEyIDJ6bTAgMThjLTQuNDEgMC04LTMuNTktOC04czMuNTktOCA4LTggOCAzLjU5IDggOC0zLjU5IDgtOCA4eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-circle: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMTggMTgiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPGNpcmNsZSBjeD0iOSIgY3k9IjkiIHI9IjgiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-clear: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8bWFzayBpZD0iZG9udXRIb2xlIj4KICAgIDxyZWN0IHdpZHRoPSIyNCIgaGVpZ2h0PSIyNCIgZmlsbD0id2hpdGUiIC8+CiAgICA8Y2lyY2xlIGN4PSIxMiIgY3k9IjEyIiByPSI4IiBmaWxsPSJibGFjayIvPgogIDwvbWFzaz4KCiAgPGcgY2xhc3M9ImpwLWljb24zIiBmaWxsPSIjNjE2MTYxIj4KICAgIDxyZWN0IGhlaWdodD0iMTgiIHdpZHRoPSIyIiB4PSIxMSIgeT0iMyIgdHJhbnNmb3JtPSJyb3RhdGUoMzE1LCAxMiwgMTIpIi8+CiAgICA8Y2lyY2xlIGN4PSIxMiIgY3k9IjEyIiByPSIxMCIgbWFzaz0idXJsKCNkb251dEhvbGUpIi8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-close: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbi1ub25lIGpwLWljb24tc2VsZWN0YWJsZS1pbnZlcnNlIGpwLWljb24zLWhvdmVyIiBmaWxsPSJub25lIj4KICAgIDxjaXJjbGUgY3g9IjEyIiBjeT0iMTIiIHI9IjExIi8+CiAgPC9nPgoKICA8ZyBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIGpwLWljb24tYWNjZW50Mi1ob3ZlciIgZmlsbD0iIzYxNjE2MSI+CiAgICA8cGF0aCBkPSJNMTkgNi40MUwxNy41OSA1IDEyIDEwLjU5IDYuNDEgNSA1IDYuNDEgMTAuNTkgMTIgNSAxNy41OSA2LjQxIDE5IDEyIDEzLjQxIDE3LjU5IDE5IDE5IDE3LjU5IDEzLjQxIDEyeiIvPgogIDwvZz4KCiAgPGcgY2xhc3M9ImpwLWljb24tbm9uZSBqcC1pY29uLWJ1c3kiIGZpbGw9Im5vbmUiPgogICAgPGNpcmNsZSBjeD0iMTIiIGN5PSIxMiIgcj0iNyIvPgogIDwvZz4KPC9zdmc+Cg==);
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+  --jp-icon-file-upload: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTkgMTZoNnYtNmg0bC03LTctNyA3aDR6bS00IDJoMTR2Mkg1eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-file: url(data:image/svg+xml;base64,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);
+  --jp-icon-filter-dot: url(data:image/svg+xml;base64,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);
+  --jp-icon-filter-list: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEwIDE4aDR2LTJoLTR2MnpNMyA2djJoMThWNkgzem0zIDdoMTJ2LTJINnYyeiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-filter: url(data:image/svg+xml;base64,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);
+  --jp-icon-folder-favorite: url(data:image/svg+xml;base64,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);
+  --jp-icon-folder: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMTAgNEg0Yy0xLjEgMC0xLjk5LjktMS45OSAyTDIgMThjMCAxLjEuOSAyIDIgMmgxNmMxLjEgMCAyLS45IDItMlY4YzAtMS4xLS45LTItMi0yaC04bC0yLTJ6Ii8+Cjwvc3ZnPgo=);
+  --jp-icon-home: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIGhlaWdodD0iMjRweCIgdmlld0JveD0iMCAwIDI0IDI0IiB3aWR0aD0iMjRweCIgZmlsbD0iIzAwMDAwMCI+CiAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPjxwYXRoIGNsYXNzPSJqcC1pY29uMyBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xMCAyMHYtNmg0djZoNXYtOGgzTDEyIDMgMiAxMmgzdjh6Ii8+Cjwvc3ZnPgo=);
+  --jp-icon-html5: url(data:image/svg+xml;base64,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);
+  --jp-icon-image: url(data:image/svg+xml;base64,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);
+  --jp-icon-info: url(data:image/svg+xml;base64,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);
+  --jp-icon-inspector: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaW5zcGVjdG9yLWljb24tY29sb3IganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMjAgNEg0Yy0xLjEgMC0xLjk5LjktMS45OSAyTDIgMThjMCAxLjEuOSAyIDIgMmgxNmMxLjEgMCAyLS45IDItMlY2YzAtMS4xLS45LTItMi0yem0tNSAxNEg0di00aDExdjR6bTAtNUg0VjloMTF2NHptNSA1aC00VjloNHY5eiIvPgo8L3N2Zz4K);
+  --jp-icon-json: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtanNvbi1pY29uLWNvbG9yIGpwLWljb24tc2VsZWN0YWJsZSIgZmlsbD0iI0Y5QTgyNSI+CiAgICA8cGF0aCBkPSJNMjAuMiAxMS44Yy0xLjYgMC0xLjcuNS0xLjcgMSAwIC40LjEuOS4xIDEuMy4xLjUuMS45LjEgMS4zIDAgMS43LTEuNCAyLjMtMy41IDIuM2gtLjl2LTEuOWguNWMxLjEgMCAxLjQgMCAxLjQtLjggMC0uMyAwLS42LS4xLTEgMC0uNC0uMS0uOC0uMS0xLjIgMC0xLjMgMC0xLjggMS4zLTItMS4zLS4yLTEuMy0uNy0xLjMtMiAwLS40LjEtLjguMS0xLjIuMS0uNC4xLS43LjEtMSAwLS44LS40LS43LTEuNC0uOGgtLjVWNC4xaC45YzIuMiAwIDMuNS43IDMuNSAyLjMgMCAuNC0uMS45LS4xIDEuMy0uMS41LS4xLjktLjEgMS4zIDAgLjUuMiAxIDEuNyAxdjEuOHpNMS44IDEwLjFjMS42IDAgMS43LS41IDEuNy0xIDAtLjQtLjEtLjktLjEtMS4zLS4xLS41LS4xLS45LS4xLTEuMyAwLTEuNiAxLjQtMi4zIDMuNS0yLjNoLjl2MS45aC0uNWMtMSAwLTEuNCAwLTEuNC44IDAgLjMgMCAuNi4xIDEgMCAuMi4xLjYuMSAxIDAgMS4zIDAgMS44LTEuMyAyQzYgMTEuMiA2IDExLjcgNiAxM2MwIC40LS4xLjgtLjEgMS4yLS4xLjMtLjEuNy0uMSAxIDAgLjguMy44IDEuNC44aC41djEuOWgtLjljLTIuMSAwLTMuNS0uNi0zLjUtMi4zIDAtLjQuMS0uOS4xLTEuMy4xLS41LjEtLjkuMS0xLjMgMC0uNS0uMi0xLTEuNy0xdi0xLjl6Ii8+CiAgICA8Y2lyY2xlIGN4PSIxMSIgY3k9IjEzLjgiIHI9IjIuMSIvPgogICAgPGNpcmNsZSBjeD0iMTEiIGN5PSI4LjIiIHI9IjIuMSIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-julia: url(data:image/svg+xml;base64,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);
+  --jp-icon-jupyter-favicon: url(data:image/svg+xml;base64,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);
+  --jp-icon-jupyter: url(data:image/svg+xml;base64,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);
+  --jp-icon-jupyterlab-wordmark: 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+  --jp-icon-kernel: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGNsYXNzPSJqcC1pY29uMiIgZmlsbD0iIzYxNjE2MSIgZD0iTTE1IDlIOXY2aDZWOXptLTIgNGgtMnYtMmgydjJ6bTgtMlY5aC0yVjdjMC0xLjEtLjktMi0yLTJoLTJWM2gtMnYyaC0yVjNIOXYySDdjLTEuMSAwLTIgLjktMiAydjJIM3YyaDJ2MkgzdjJoMnYyYzAgMS4xLjkgMiAyIDJoMnYyaDJ2LTJoMnYyaDJ2LTJoMmMxLjEgMCAyLS45IDItMnYtMmgydi0yaC0ydi0yaDJ6bS00IDZIN1Y3aDEwdjEweiIvPgo8L3N2Zz4K);
+  --jp-icon-keyboard: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMjAgNUg0Yy0xLjEgMC0xLjk5LjktMS45OSAyTDIgMTdjMCAxLjEuOSAyIDIgMmgxNmMxLjEgMCAyLS45IDItMlY3YzAtMS4xLS45LTItMi0yem0tOSAzaDJ2MmgtMlY4em0wIDNoMnYyaC0ydi0yek04IDhoMnYySDhWOHptMCAzaDJ2Mkg4di0yem0tMSAySDV2LTJoMnYyem0wLTNINVY4aDJ2MnptOSA3SDh2LTJoOHYyem0wLTRoLTJ2LTJoMnYyem0wLTNoLTJWOGgydjJ6bTMgM2gtMnYtMmgydjJ6bTAtM2gtMlY4aDJ2MnoiLz4KPC9zdmc+Cg==);
+  --jp-icon-launch: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMzIgMzIiIHdpZHRoPSIzMiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIj4KICAgIDxwYXRoIGQ9Ik0yNiwyOEg2YTIuMDAyNywyLjAwMjcsMCwwLDEtMi0yVjZBMi4wMDI3LDIuMDAyNywwLDAsMSw2LDRIMTZWNkg2VjI2SDI2VjE2aDJWMjZBMi4wMDI3LDIuMDAyNywwLDAsMSwyNiwyOFoiLz4KICAgIDxwb2x5Z29uIHBvaW50cz0iMjAgMiAyMCA0IDI2LjU4NiA0IDE4IDEyLjU4NiAxOS40MTQgMTQgMjggNS40MTQgMjggMTIgMzAgMTIgMzAgMiAyMCAyIi8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-launcher: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMTkgMTlINVY1aDdWM0g1YTIgMiAwIDAwLTIgMnYxNGEyIDIgMCAwMDIgMmgxNGMxLjEgMCAyLS45IDItMnYtN2gtMnY3ek0xNCAzdjJoMy41OWwtOS44MyA5LjgzIDEuNDEgMS40MUwxOSA2LjQxVjEwaDJWM2gtN3oiLz4KPC9zdmc+Cg==);
+  --jp-icon-line-form: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGZpbGw9IndoaXRlIiBkPSJNNS44OCA0LjEyTDEzLjc2IDEybC03Ljg4IDcuODhMOCAyMmwxMC0xMEw4IDJ6Ii8+Cjwvc3ZnPgo=);
+  --jp-icon-link: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTMuOSAxMmMwLTEuNzEgMS4zOS0zLjEgMy4xLTMuMWg0VjdIN2MtMi43NiAwLTUgMi4yNC01IDVzMi4yNCA1IDUgNWg0di0xLjlIN2MtMS43MSAwLTMuMS0xLjM5LTMuMS0zLjF6TTggMTNoOHYtMkg4djJ6bTktNmgtNHYxLjloNGMxLjcxIDAgMy4xIDEuMzkgMy4xIDMuMXMtMS4zOSAzLjEtMy4xIDMuMWgtNFYxN2g0YzIuNzYgMCA1LTIuMjQgNS01cy0yLjI0LTUtNS01eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-list: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGNsYXNzPSJqcC1pY29uMiBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xOSA1djE0SDVWNWgxNG0xLjEtMkgzLjljLS41IDAtLjkuNC0uOS45djE2LjJjMCAuNC40LjkuOS45aDE2LjJjLjQgMCAuOS0uNS45LS45VjMuOWMwLS41LS41LS45LS45LS45ek0xMSA3aDZ2MmgtNlY3em0wIDRoNnYyaC02di0yem0wIDRoNnYyaC02ek03IDdoMnYySDd6bTAgNGgydjJIN3ptMCA0aDJ2Mkg3eiIvPgo8L3N2Zz4K);
+  --jp-icon-markdown: url(data:image/svg+xml;base64,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);
+  --jp-icon-move-down: url(data:image/svg+xml;base64,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);
+  --jp-icon-move-up: url(data:image/svg+xml;base64,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);
+  --jp-icon-new-folder: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTIwIDZoLThsLTItMkg0Yy0xLjExIDAtMS45OS44OS0xLjk5IDJMMiAxOGMwIDEuMTEuODkgMiAyIDJoMTZjMS4xMSAwIDItLjg5IDItMlY4YzAtMS4xMS0uODktMi0yLTJ6bS0xIDhoLTN2M2gtMnYtM2gtM3YtMmgzVjloMnYzaDN2MnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-not-trusted: url(data:image/svg+xml;base64,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);
+  --jp-icon-notebook: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtbm90ZWJvb2staWNvbi1jb2xvciBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiNFRjZDMDAiPgogICAgPHBhdGggZD0iTTE4LjcgMy4zdjE1LjRIMy4zVjMuM2gxNS40bTEuNS0xLjVIMS44djE4LjNoMTguM2wuMS0xOC4zeiIvPgogICAgPHBhdGggZD0iTTE2LjUgMTYuNWwtNS40LTQuMy01LjYgNC4zdi0xMWgxMXoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-numbering: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjIiIGhlaWdodD0iMjIiIHZpZXdCb3g9IjAgMCAyOCAyOCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CgkJPHBhdGggZD0iTTQgMTlINlYxOS41SDVWMjAuNUg2VjIxSDRWMjJIN1YxOEg0VjE5Wk01IDEwSDZWNkg0VjdINVYxMFpNNCAxM0g1LjhMNCAxNS4xVjE2SDdWMTVINS4yTDcgMTIuOVYxMkg0VjEzWk05IDdWOUgyM1Y3SDlaTTkgMjFIMjNWMTlIOVYyMVpNOSAxNUgyM1YxM0g5VjE1WiIvPgoJPC9nPgo8L3N2Zz4K);
+  --jp-icon-offline-bolt: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAyNCAyNCIgd2lkdGg9IjE2Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyIDIuMDJjLTUuNTEgMC05Ljk4IDQuNDctOS45OCA5Ljk4czQuNDcgOS45OCA5Ljk4IDkuOTggOS45OC00LjQ3IDkuOTgtOS45OFMxNy41MSAyLjAyIDEyIDIuMDJ6TTExLjQ4IDIwdi02LjI2SDhMMTMgNHY2LjI2aDMuMzVMMTEuNDggMjB6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-palette: url(data:image/svg+xml;base64,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);
+  --jp-icon-paste: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTE5IDJoLTQuMThDMTQuNC44NCAxMy4zIDAgMTIgMGMtMS4zIDAtMi40Ljg0LTIuODIgMkg1Yy0xLjEgMC0yIC45LTIgMnYxNmMwIDEuMS45IDIgMiAyaDE0YzEuMSAwIDItLjkgMi0yVjRjMC0xLjEtLjktMi0yLTJ6bS03IDBjLjU1IDAgMSAuNDUgMSAxcy0uNDUgMS0xIDEtMS0uNDUtMS0xIC40NS0xIDEtMXptNyAxOEg1VjRoMnYzaDEwVjRoMnYxNnoiLz4KICAgIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-pdf: url(data:image/svg+xml;base64,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);
+  --jp-icon-python: url(data:image/svg+xml;base64,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);
+  --jp-icon-r-kernel: url(data:image/svg+xml;base64,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);
+  --jp-icon-react: url(data:image/svg+xml;base64,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);
+  --jp-icon-redo: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIGhlaWdodD0iMjQiIHZpZXdCb3g9IjAgMCAyNCAyNCIgd2lkdGg9IjE2Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgICA8cGF0aCBkPSJNMCAwaDI0djI0SDB6IiBmaWxsPSJub25lIi8+PHBhdGggZD0iTTE4LjQgMTAuNkMxNi41NSA4Ljk5IDE0LjE1IDggMTEuNSA4Yy00LjY1IDAtOC41OCAzLjAzLTkuOTYgNy4yMkwzLjkgMTZjMS4wNS0zLjE5IDQuMDUtNS41IDcuNi01LjUgMS45NSAwIDMuNzMuNzIgNS4xMiAxLjg4TDEzIDE2aDlWN2wtMy42IDMuNnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-refresh: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTkgMTMuNWMtMi40OSAwLTQuNS0yLjAxLTQuNS00LjVTNi41MSA0LjUgOSA0LjVjMS4yNCAwIDIuMzYuNTIgMy4xNyAxLjMzTDEwIDhoNVYzbC0xLjc2IDEuNzZDMTIuMTUgMy42OCAxMC42NiAzIDkgMyA1LjY5IDMgMy4wMSA1LjY5IDMuMDEgOVM1LjY5IDE1IDkgMTVjMi45NyAwIDUuNDMtMi4xNiA1LjktNWgtMS41MmMtLjQ2IDItMi4yNCAzLjUtNC4zOCAzLjV6Ii8+CiAgICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-regex: url(data:image/svg+xml;base64,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);
+  --jp-icon-run: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTggNXYxNGwxMS03eiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-running: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDUxMiA1MTIiPgogIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICA8cGF0aCBkPSJNMjU2IDhDMTE5IDggOCAxMTkgOCAyNTZzMTExIDI0OCAyNDggMjQ4IDI0OC0xMTEgMjQ4LTI0OFMzOTMgOCAyNTYgOHptOTYgMzI4YzAgOC44LTcuMiAxNi0xNiAxNkgxNzZjLTguOCAwLTE2LTcuMi0xNi0xNlYxNzZjMC04LjggNy4yLTE2IDE2LTE2aDE2MGM4LjggMCAxNiA3LjIgMTYgMTZ2MTYweiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-save: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTE3IDNINWMtMS4xMSAwLTIgLjktMiAydjE0YzAgMS4xLjg5IDIgMiAyaDE0YzEuMSAwIDItLjkgMi0yVjdsLTQtNHptLTUgMTZjLTEuNjYgMC0zLTEuMzQtMy0zczEuMzQtMyAzLTMgMyAxLjM0IDMgMy0xLjM0IDMtMyAzem0zLTEwSDVWNWgxMHY0eiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-search: url(data:image/svg+xml;base64,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);
+  --jp-icon-settings: url(data:image/svg+xml;base64,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);
+  --jp-icon-share: url(data:image/svg+xml;base64,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);
+  --jp-icon-spreadsheet: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8cGF0aCBjbGFzcz0ianAtaWNvbi1jb250cmFzdDEganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNENBRjUwIiBkPSJNMi4yIDIuMnYxNy42aDE3LjZWMi4ySDIuMnptMTUuNCA3LjdoLTUuNVY0LjRoNS41djUuNXpNOS45IDQuNHY1LjVINC40VjQuNGg1LjV6bS01LjUgNy43aDUuNXY1LjVINC40di01LjV6bTcuNyA1LjV2LTUuNWg1LjV2NS41aC01LjV6Ii8+Cjwvc3ZnPgo=);
+  --jp-icon-stop: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik02IDZoMTJ2MTJINnoiLz4KICAgIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-tab: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTIxIDNIM2MtMS4xIDAtMiAuOS0yIDJ2MTRjMCAxLjEuOSAyIDIgMmgxOGMxLjEgMCAyLS45IDItMlY1YzAtMS4xLS45LTItMi0yem0wIDE2SDNWNWgxMHY0aDh2MTB6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-table-rows: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik0yMSw4SDNWNGgxOFY4eiBNMjEsMTBIM3Y0aDE4VjEweiBNMjEsMTZIM3Y0aDE4VjE2eiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-tag: url(data:image/svg+xml;base64,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);
+  --jp-icon-terminal: url(data:image/svg+xml;base64,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);
+  --jp-icon-text-editor: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtdGV4dC1lZGl0b3ItaWNvbi1jb2xvciBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xNSAxNUgzdjJoMTJ2LTJ6bTAtOEgzdjJoMTJWN3pNMyAxM2gxOHYtMkgzdjJ6bTAgOGgxOHYtMkgzdjJ6TTMgM3YyaDE4VjNIM3oiLz4KPC9zdmc+Cg==);
+  --jp-icon-toc: url(data:image/svg+xml;base64,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);
+  --jp-icon-tree-view: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik0yMiAxMVYzaC03djNIOVYzSDJ2OGg3VjhoMnYxMGg0djNoN3YtOGgtN3YzaC0yVjhoMnYzeiIvPgogICAgPC9nPgo8L3N2Zz4K);
+  --jp-icon-trusted: url(data:image/svg+xml;base64,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);
+  --jp-icon-undo: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyLjUgOGMtMi42NSAwLTUuMDUuOTktNi45IDIuNkwyIDd2OWg5bC0zLjYyLTMuNjJjMS4zOS0xLjE2IDMuMTYtMS44OCA1LjEyLTEuODggMy41NCAwIDYuNTUgMi4zMSA3LjYgNS41bDIuMzctLjc4QzIxLjA4IDExLjAzIDE3LjE1IDggMTIuNSA4eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-user: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMTYiIHZpZXdCb3g9IjAgMCAyNCAyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE2IDdhNCA0IDAgMTEtOCAwIDQgNCAwIDAxOCAwek0xMiAxNGE3IDcgMCAwMC03IDdoMTRhNyA3IDAgMDAtNy03eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-users: url(data:image/svg+xml;base64,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);
+  --jp-icon-vega: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtaWNvbjEganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjMjEyMTIxIj4KICAgIDxwYXRoIGQ9Ik0xMC42IDUuNGwyLjItMy4ySDIuMnY3LjNsNC02LjZ6Ii8+CiAgICA8cGF0aCBkPSJNMTUuOCAyLjJsLTQuNCA2LjZMNyA2LjNsLTQuOCA4djUuNWgxNy42VjIuMmgtNHptLTcgMTUuNEg1LjV2LTQuNGgzLjN2NC40em00LjQgMEg5LjhWOS44aDMuNHY3Ljh6bTQuNCAwaC0zLjRWNi41aDMuNHYxMS4xeiIvPgogIDwvZz4KPC9zdmc+Cg==);
+  --jp-icon-word: url(data:image/svg+xml;base64,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);
+  --jp-icon-yaml: url(data:image/svg+xml;base64,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);
+}
+
+/* Icon CSS class declarations */
+
+.jp-AddAboveIcon {
+  background-image: var(--jp-icon-add-above);
+}
+
+.jp-AddBelowIcon {
+  background-image: var(--jp-icon-add-below);
+}
+
+.jp-AddIcon {
+  background-image: var(--jp-icon-add);
+}
+
+.jp-BellIcon {
+  background-image: var(--jp-icon-bell);
+}
+
+.jp-BugDotIcon {
+  background-image: var(--jp-icon-bug-dot);
+}
+
+.jp-BugIcon {
+  background-image: var(--jp-icon-bug);
+}
+
+.jp-BuildIcon {
+  background-image: var(--jp-icon-build);
+}
+
+.jp-CaretDownEmptyIcon {
+  background-image: var(--jp-icon-caret-down-empty);
+}
+
+.jp-CaretDownEmptyThinIcon {
+  background-image: var(--jp-icon-caret-down-empty-thin);
+}
+
+.jp-CaretDownIcon {
+  background-image: var(--jp-icon-caret-down);
+}
+
+.jp-CaretLeftIcon {
+  background-image: var(--jp-icon-caret-left);
+}
+
+.jp-CaretRightIcon {
+  background-image: var(--jp-icon-caret-right);
+}
+
+.jp-CaretUpEmptyThinIcon {
+  background-image: var(--jp-icon-caret-up-empty-thin);
+}
+
+.jp-CaretUpIcon {
+  background-image: var(--jp-icon-caret-up);
+}
+
+.jp-CaseSensitiveIcon {
+  background-image: var(--jp-icon-case-sensitive);
+}
+
+.jp-CheckIcon {
+  background-image: var(--jp-icon-check);
+}
+
+.jp-CircleEmptyIcon {
+  background-image: var(--jp-icon-circle-empty);
+}
+
+.jp-CircleIcon {
+  background-image: var(--jp-icon-circle);
+}
+
+.jp-ClearIcon {
+  background-image: var(--jp-icon-clear);
+}
+
+.jp-CloseIcon {
+  background-image: var(--jp-icon-close);
+}
+
+.jp-CodeCheckIcon {
+  background-image: var(--jp-icon-code-check);
+}
+
+.jp-CodeIcon {
+  background-image: var(--jp-icon-code);
+}
+
+.jp-CollapseAllIcon {
+  background-image: var(--jp-icon-collapse-all);
+}
+
+.jp-ConsoleIcon {
+  background-image: var(--jp-icon-console);
+}
+
+.jp-CopyIcon {
+  background-image: var(--jp-icon-copy);
+}
+
+.jp-CopyrightIcon {
+  background-image: var(--jp-icon-copyright);
+}
+
+.jp-CutIcon {
+  background-image: var(--jp-icon-cut);
+}
+
+.jp-DeleteIcon {
+  background-image: var(--jp-icon-delete);
+}
+
+.jp-DownloadIcon {
+  background-image: var(--jp-icon-download);
+}
+
+.jp-DuplicateIcon {
+  background-image: var(--jp-icon-duplicate);
+}
+
+.jp-EditIcon {
+  background-image: var(--jp-icon-edit);
+}
+
+.jp-EllipsesIcon {
+  background-image: var(--jp-icon-ellipses);
+}
+
+.jp-ErrorIcon {
+  background-image: var(--jp-icon-error);
+}
+
+.jp-ExpandAllIcon {
+  background-image: var(--jp-icon-expand-all);
+}
+
+.jp-ExtensionIcon {
+  background-image: var(--jp-icon-extension);
+}
+
+.jp-FastForwardIcon {
+  background-image: var(--jp-icon-fast-forward);
+}
+
+.jp-FileIcon {
+  background-image: var(--jp-icon-file);
+}
+
+.jp-FileUploadIcon {
+  background-image: var(--jp-icon-file-upload);
+}
+
+.jp-FilterDotIcon {
+  background-image: var(--jp-icon-filter-dot);
+}
+
+.jp-FilterIcon {
+  background-image: var(--jp-icon-filter);
+}
+
+.jp-FilterListIcon {
+  background-image: var(--jp-icon-filter-list);
+}
+
+.jp-FolderFavoriteIcon {
+  background-image: var(--jp-icon-folder-favorite);
+}
+
+.jp-FolderIcon {
+  background-image: var(--jp-icon-folder);
+}
+
+.jp-HomeIcon {
+  background-image: var(--jp-icon-home);
+}
+
+.jp-Html5Icon {
+  background-image: var(--jp-icon-html5);
+}
+
+.jp-ImageIcon {
+  background-image: var(--jp-icon-image);
+}
+
+.jp-InfoIcon {
+  background-image: var(--jp-icon-info);
+}
+
+.jp-InspectorIcon {
+  background-image: var(--jp-icon-inspector);
+}
+
+.jp-JsonIcon {
+  background-image: var(--jp-icon-json);
+}
+
+.jp-JuliaIcon {
+  background-image: var(--jp-icon-julia);
+}
+
+.jp-JupyterFaviconIcon {
+  background-image: var(--jp-icon-jupyter-favicon);
+}
+
+.jp-JupyterIcon {
+  background-image: var(--jp-icon-jupyter);
+}
+
+.jp-JupyterlabWordmarkIcon {
+  background-image: var(--jp-icon-jupyterlab-wordmark);
+}
+
+.jp-KernelIcon {
+  background-image: var(--jp-icon-kernel);
+}
+
+.jp-KeyboardIcon {
+  background-image: var(--jp-icon-keyboard);
+}
+
+.jp-LaunchIcon {
+  background-image: var(--jp-icon-launch);
+}
+
+.jp-LauncherIcon {
+  background-image: var(--jp-icon-launcher);
+}
+
+.jp-LineFormIcon {
+  background-image: var(--jp-icon-line-form);
+}
+
+.jp-LinkIcon {
+  background-image: var(--jp-icon-link);
+}
+
+.jp-ListIcon {
+  background-image: var(--jp-icon-list);
+}
+
+.jp-MarkdownIcon {
+  background-image: var(--jp-icon-markdown);
+}
+
+.jp-MoveDownIcon {
+  background-image: var(--jp-icon-move-down);
+}
+
+.jp-MoveUpIcon {
+  background-image: var(--jp-icon-move-up);
+}
+
+.jp-NewFolderIcon {
+  background-image: var(--jp-icon-new-folder);
+}
+
+.jp-NotTrustedIcon {
+  background-image: var(--jp-icon-not-trusted);
+}
+
+.jp-NotebookIcon {
+  background-image: var(--jp-icon-notebook);
+}
+
+.jp-NumberingIcon {
+  background-image: var(--jp-icon-numbering);
+}
+
+.jp-OfflineBoltIcon {
+  background-image: var(--jp-icon-offline-bolt);
+}
+
+.jp-PaletteIcon {
+  background-image: var(--jp-icon-palette);
+}
+
+.jp-PasteIcon {
+  background-image: var(--jp-icon-paste);
+}
+
+.jp-PdfIcon {
+  background-image: var(--jp-icon-pdf);
+}
+
+.jp-PythonIcon {
+  background-image: var(--jp-icon-python);
+}
+
+.jp-RKernelIcon {
+  background-image: var(--jp-icon-r-kernel);
+}
+
+.jp-ReactIcon {
+  background-image: var(--jp-icon-react);
+}
+
+.jp-RedoIcon {
+  background-image: var(--jp-icon-redo);
+}
+
+.jp-RefreshIcon {
+  background-image: var(--jp-icon-refresh);
+}
+
+.jp-RegexIcon {
+  background-image: var(--jp-icon-regex);
+}
+
+.jp-RunIcon {
+  background-image: var(--jp-icon-run);
+}
+
+.jp-RunningIcon {
+  background-image: var(--jp-icon-running);
+}
+
+.jp-SaveIcon {
+  background-image: var(--jp-icon-save);
+}
+
+.jp-SearchIcon {
+  background-image: var(--jp-icon-search);
+}
+
+.jp-SettingsIcon {
+  background-image: var(--jp-icon-settings);
+}
+
+.jp-ShareIcon {
+  background-image: var(--jp-icon-share);
+}
+
+.jp-SpreadsheetIcon {
+  background-image: var(--jp-icon-spreadsheet);
+}
+
+.jp-StopIcon {
+  background-image: var(--jp-icon-stop);
+}
+
+.jp-TabIcon {
+  background-image: var(--jp-icon-tab);
+}
+
+.jp-TableRowsIcon {
+  background-image: var(--jp-icon-table-rows);
+}
+
+.jp-TagIcon {
+  background-image: var(--jp-icon-tag);
+}
+
+.jp-TerminalIcon {
+  background-image: var(--jp-icon-terminal);
+}
+
+.jp-TextEditorIcon {
+  background-image: var(--jp-icon-text-editor);
+}
+
+.jp-TocIcon {
+  background-image: var(--jp-icon-toc);
+}
+
+.jp-TreeViewIcon {
+  background-image: var(--jp-icon-tree-view);
+}
+
+.jp-TrustedIcon {
+  background-image: var(--jp-icon-trusted);
+}
+
+.jp-UndoIcon {
+  background-image: var(--jp-icon-undo);
+}
+
+.jp-UserIcon {
+  background-image: var(--jp-icon-user);
+}
+
+.jp-UsersIcon {
+  background-image: var(--jp-icon-users);
+}
+
+.jp-VegaIcon {
+  background-image: var(--jp-icon-vega);
+}
+
+.jp-WordIcon {
+  background-image: var(--jp-icon-word);
+}
+
+.jp-YamlIcon {
+  background-image: var(--jp-icon-yaml);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/**
+ * (DEPRECATED) Support for consuming icons as CSS background images
+ */
+
+.jp-Icon,
+.jp-MaterialIcon {
+  background-position: center;
+  background-repeat: no-repeat;
+  background-size: 16px;
+  min-width: 16px;
+  min-height: 16px;
+}
+
+.jp-Icon-cover {
+  background-position: center;
+  background-repeat: no-repeat;
+  background-size: cover;
+}
+
+/**
+ * (DEPRECATED) Support for specific CSS icon sizes
+ */
+
+.jp-Icon-16 {
+  background-size: 16px;
+  min-width: 16px;
+  min-height: 16px;
+}
+
+.jp-Icon-18 {
+  background-size: 18px;
+  min-width: 18px;
+  min-height: 18px;
+}
+
+.jp-Icon-20 {
+  background-size: 20px;
+  min-width: 20px;
+  min-height: 20px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.lm-TabBar .lm-TabBar-addButton {
+  align-items: center;
+  display: flex;
+  padding: 4px;
+  padding-bottom: 5px;
+  margin-right: 1px;
+  background-color: var(--jp-layout-color2);
+}
+
+.lm-TabBar .lm-TabBar-addButton:hover {
+  background-color: var(--jp-layout-color1);
+}
+
+.lm-DockPanel-tabBar .lm-TabBar-tab {
+  width: var(--jp-private-horizontal-tab-width);
+}
+
+.lm-DockPanel-tabBar .lm-TabBar-content {
+  flex: unset;
+}
+
+.lm-DockPanel-tabBar[data-orientation='horizontal'] {
+  flex: 1 1 auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/**
+ * Support for icons as inline SVG HTMLElements
+ */
+
+/* recolor the primary elements of an icon */
+.jp-icon0[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon1[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon2[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon3[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon4[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon0[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon1[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon2[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon3[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon4[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/* recolor the accent elements of an icon */
+.jp-icon-accent0[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.jp-icon-accent1[fill] {
+  fill: var(--jp-layout-color1);
+}
+
+.jp-icon-accent2[fill] {
+  fill: var(--jp-layout-color2);
+}
+
+.jp-icon-accent3[fill] {
+  fill: var(--jp-layout-color3);
+}
+
+.jp-icon-accent4[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-accent0[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-accent1[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-accent2[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-accent3[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-accent4[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* set the color of an icon to transparent */
+.jp-icon-none[fill] {
+  fill: none;
+}
+
+.jp-icon-none[stroke] {
+  stroke: none;
+}
+
+/* brand icon colors. Same for light and dark */
+.jp-icon-brand0[fill] {
+  fill: var(--jp-brand-color0);
+}
+
+.jp-icon-brand1[fill] {
+  fill: var(--jp-brand-color1);
+}
+
+.jp-icon-brand2[fill] {
+  fill: var(--jp-brand-color2);
+}
+
+.jp-icon-brand3[fill] {
+  fill: var(--jp-brand-color3);
+}
+
+.jp-icon-brand4[fill] {
+  fill: var(--jp-brand-color4);
+}
+
+.jp-icon-brand0[stroke] {
+  stroke: var(--jp-brand-color0);
+}
+
+.jp-icon-brand1[stroke] {
+  stroke: var(--jp-brand-color1);
+}
+
+.jp-icon-brand2[stroke] {
+  stroke: var(--jp-brand-color2);
+}
+
+.jp-icon-brand3[stroke] {
+  stroke: var(--jp-brand-color3);
+}
+
+.jp-icon-brand4[stroke] {
+  stroke: var(--jp-brand-color4);
+}
+
+/* warn icon colors. Same for light and dark */
+.jp-icon-warn0[fill] {
+  fill: var(--jp-warn-color0);
+}
+
+.jp-icon-warn1[fill] {
+  fill: var(--jp-warn-color1);
+}
+
+.jp-icon-warn2[fill] {
+  fill: var(--jp-warn-color2);
+}
+
+.jp-icon-warn3[fill] {
+  fill: var(--jp-warn-color3);
+}
+
+.jp-icon-warn0[stroke] {
+  stroke: var(--jp-warn-color0);
+}
+
+.jp-icon-warn1[stroke] {
+  stroke: var(--jp-warn-color1);
+}
+
+.jp-icon-warn2[stroke] {
+  stroke: var(--jp-warn-color2);
+}
+
+.jp-icon-warn3[stroke] {
+  stroke: var(--jp-warn-color3);
+}
+
+/* icon colors that contrast well with each other and most backgrounds */
+.jp-icon-contrast0[fill] {
+  fill: var(--jp-icon-contrast-color0);
+}
+
+.jp-icon-contrast1[fill] {
+  fill: var(--jp-icon-contrast-color1);
+}
+
+.jp-icon-contrast2[fill] {
+  fill: var(--jp-icon-contrast-color2);
+}
+
+.jp-icon-contrast3[fill] {
+  fill: var(--jp-icon-contrast-color3);
+}
+
+.jp-icon-contrast0[stroke] {
+  stroke: var(--jp-icon-contrast-color0);
+}
+
+.jp-icon-contrast1[stroke] {
+  stroke: var(--jp-icon-contrast-color1);
+}
+
+.jp-icon-contrast2[stroke] {
+  stroke: var(--jp-icon-contrast-color2);
+}
+
+.jp-icon-contrast3[stroke] {
+  stroke: var(--jp-icon-contrast-color3);
+}
+
+.jp-icon-dot[fill] {
+  fill: var(--jp-warn-color0);
+}
+
+.jp-jupyter-icon-color[fill] {
+  fill: var(--jp-jupyter-icon-color, var(--jp-warn-color0));
+}
+
+.jp-notebook-icon-color[fill] {
+  fill: var(--jp-notebook-icon-color, var(--jp-warn-color0));
+}
+
+.jp-json-icon-color[fill] {
+  fill: var(--jp-json-icon-color, var(--jp-warn-color1));
+}
+
+.jp-console-icon-color[fill] {
+  fill: var(--jp-console-icon-color, white);
+}
+
+.jp-console-icon-background-color[fill] {
+  fill: var(--jp-console-icon-background-color, var(--jp-brand-color1));
+}
+
+.jp-terminal-icon-color[fill] {
+  fill: var(--jp-terminal-icon-color, var(--jp-layout-color2));
+}
+
+.jp-terminal-icon-background-color[fill] {
+  fill: var(
+    --jp-terminal-icon-background-color,
+    var(--jp-inverse-layout-color2)
+  );
+}
+
+.jp-text-editor-icon-color[fill] {
+  fill: var(--jp-text-editor-icon-color, var(--jp-inverse-layout-color3));
+}
+
+.jp-inspector-icon-color[fill] {
+  fill: var(--jp-inspector-icon-color, var(--jp-inverse-layout-color3));
+}
+
+/* CSS for icons in selected filebrowser listing items */
+.jp-DirListing-item.jp-mod-selected .jp-icon-selectable[fill] {
+  fill: #fff;
+}
+
+.jp-DirListing-item.jp-mod-selected .jp-icon-selectable-inverse[fill] {
+  fill: var(--jp-brand-color1);
+}
+
+/* stylelint-disable selector-max-class, selector-max-compound-selectors */
+
+/**
+* TODO: come up with non css-hack solution for showing the busy icon on top
+*  of the close icon
+* CSS for complex behavior of close icon of tabs in the main area tabbar
+*/
+.lm-DockPanel-tabBar
+  .lm-TabBar-tab.lm-mod-closable.jp-mod-dirty
+  > .lm-TabBar-tabCloseIcon
+  > :not(:hover)
+  > .jp-icon3[fill] {
+  fill: none;
+}
+
+.lm-DockPanel-tabBar
+  .lm-TabBar-tab.lm-mod-closable.jp-mod-dirty
+  > .lm-TabBar-tabCloseIcon
+  > :not(:hover)
+  > .jp-icon-busy[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+/* stylelint-enable selector-max-class, selector-max-compound-selectors */
+
+/* CSS for icons in status bar */
+#jp-main-statusbar .jp-mod-selected .jp-icon-selectable[fill] {
+  fill: #fff;
+}
+
+#jp-main-statusbar .jp-mod-selected .jp-icon-selectable-inverse[fill] {
+  fill: var(--jp-brand-color1);
+}
+
+/* special handling for splash icon CSS. While the theme CSS reloads during
+   splash, the splash icon can loose theming. To prevent that, we set a
+   default for its color variable */
+:root {
+  --jp-warn-color0: var(--md-orange-700);
+}
+
+/* not sure what to do with this one, used in filebrowser listing */
+.jp-DragIcon {
+  margin-right: 4px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/**
+ * Support for alt colors for icons as inline SVG HTMLElements
+ */
+
+/* alt recolor the primary elements of an icon */
+.jp-icon-alt .jp-icon0[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.jp-icon-alt .jp-icon1[fill] {
+  fill: var(--jp-layout-color1);
+}
+
+.jp-icon-alt .jp-icon2[fill] {
+  fill: var(--jp-layout-color2);
+}
+
+.jp-icon-alt .jp-icon3[fill] {
+  fill: var(--jp-layout-color3);
+}
+
+.jp-icon-alt .jp-icon4[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-alt .jp-icon0[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-alt .jp-icon1[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-alt .jp-icon2[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-alt .jp-icon3[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-alt .jp-icon4[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* alt recolor the accent elements of an icon */
+.jp-icon-alt .jp-icon-accent0[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-alt .jp-icon-accent1[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-alt .jp-icon-accent2[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-alt .jp-icon-accent3[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-alt .jp-icon-accent4[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon-alt .jp-icon-accent0[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-alt .jp-icon-accent1[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-alt .jp-icon-accent2[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-alt .jp-icon-accent3[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-alt .jp-icon-accent4[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-icon-hoverShow:not(:hover) .jp-icon-hoverShow-content {
+  display: none !important;
+}
+
+/**
+ * Support for hover colors for icons as inline SVG HTMLElements
+ */
+
+/**
+ * regular colors
+ */
+
+/* recolor the primary elements of an icon */
+.jp-icon-hover :hover .jp-icon0-hover[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon1-hover[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon2-hover[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon3-hover[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon4-hover[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon-hover :hover .jp-icon0-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon1-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon2-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon3-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon4-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/* recolor the accent elements of an icon */
+.jp-icon-hover :hover .jp-icon-accent0-hover[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon-accent1-hover[fill] {
+  fill: var(--jp-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon-accent2-hover[fill] {
+  fill: var(--jp-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon-accent3-hover[fill] {
+  fill: var(--jp-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon-accent4-hover[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-hover :hover .jp-icon-accent0-hover[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon-accent1-hover[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon-accent2-hover[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon-accent3-hover[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon-accent4-hover[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* set the color of an icon to transparent */
+.jp-icon-hover :hover .jp-icon-none-hover[fill] {
+  fill: none;
+}
+
+.jp-icon-hover :hover .jp-icon-none-hover[stroke] {
+  stroke: none;
+}
+
+/**
+ * inverse colors
+ */
+
+/* inverse recolor the primary elements of an icon */
+.jp-icon-hover.jp-icon-alt :hover .jp-icon0-hover[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon1-hover[fill] {
+  fill: var(--jp-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon2-hover[fill] {
+  fill: var(--jp-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon3-hover[fill] {
+  fill: var(--jp-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon4-hover[fill] {
+  fill: var(--jp-layout-color4);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon0-hover[stroke] {
+  stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon1-hover[stroke] {
+  stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon2-hover[stroke] {
+  stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon3-hover[stroke] {
+  stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon4-hover[stroke] {
+  stroke: var(--jp-layout-color4);
+}
+
+/* inverse recolor the accent elements of an icon */
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent0-hover[fill] {
+  fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent1-hover[fill] {
+  fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent2-hover[fill] {
+  fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent3-hover[fill] {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent4-hover[fill] {
+  fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent0-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent1-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent2-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent3-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent4-hover[stroke] {
+  stroke: var(--jp-inverse-layout-color4);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-IFrame {
+  width: 100%;
+  height: 100%;
+}
+
+.jp-IFrame > iframe {
+  border: none;
+}
+
+/*
+When drag events occur, `lm-mod-override-cursor` is added to the body.
+Because iframes steal all cursor events, the following two rules are necessary
+to suppress pointer events while resize drags are occurring. There may be a
+better solution to this problem.
+*/
+body.lm-mod-override-cursor .jp-IFrame {
+  position: relative;
+}
+
+body.lm-mod-override-cursor .jp-IFrame::before {
+  content: '';
+  position: absolute;
+  top: 0;
+  left: 0;
+  right: 0;
+  bottom: 0;
+  background: transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-HoverBox {
+  position: fixed;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-FormGroup-content fieldset {
+  border: none;
+  padding: 0;
+  min-width: 0;
+  width: 100%;
+}
+
+/* stylelint-disable selector-max-type */
+
+.jp-FormGroup-content fieldset .jp-inputFieldWrapper input,
+.jp-FormGroup-content fieldset .jp-inputFieldWrapper select,
+.jp-FormGroup-content fieldset .jp-inputFieldWrapper textarea {
+  font-size: var(--jp-content-font-size2);
+  border-color: var(--jp-input-border-color);
+  border-style: solid;
+  border-radius: var(--jp-border-radius);
+  border-width: 1px;
+  padding: 6px 8px;
+  background: none;
+  color: var(--jp-ui-font-color0);
+  height: inherit;
+}
+
+.jp-FormGroup-content fieldset input[type='checkbox'] {
+  position: relative;
+  top: 2px;
+  margin-left: 0;
+}
+
+.jp-FormGroup-content button.jp-mod-styled {
+  cursor: pointer;
+}
+
+.jp-FormGroup-content .checkbox label {
+  cursor: pointer;
+  font-size: var(--jp-content-font-size1);
+}
+
+.jp-FormGroup-content .jp-root > fieldset > legend {
+  display: none;
+}
+
+.jp-FormGroup-content .jp-root > fieldset > p {
+  display: none;
+}
+
+/** copy of `input.jp-mod-styled:focus` style */
+.jp-FormGroup-content fieldset input:focus,
+.jp-FormGroup-content fieldset select:focus {
+  -moz-outline-radius: unset;
+  outline: var(--jp-border-width) solid var(--md-blue-500);
+  outline-offset: -1px;
+  box-shadow: inset 0 0 4px var(--md-blue-300);
+}
+
+.jp-FormGroup-content fieldset input:hover:not(:focus),
+.jp-FormGroup-content fieldset select:hover:not(:focus) {
+  background-color: var(--jp-border-color2);
+}
+
+/* stylelint-enable selector-max-type */
+
+.jp-FormGroup-content .checkbox .field-description {
+  /* Disable default description field for checkbox:
+   because other widgets do not have description fields,
+   we add descriptions to each widget on the field level.
+  */
+  display: none;
+}
+
+.jp-FormGroup-content #root__description {
+  display: none;
+}
+
+.jp-FormGroup-content .jp-modifiedIndicator {
+  width: 5px;
+  background-color: var(--jp-brand-color2);
+  margin-top: 0;
+  margin-left: calc(var(--jp-private-settingeditor-modifier-indent) * -1);
+  flex-shrink: 0;
+}
+
+.jp-FormGroup-content .jp-modifiedIndicator.jp-errorIndicator {
+  background-color: var(--jp-error-color0);
+  margin-right: 0.5em;
+}
+
+/* RJSF ARRAY style */
+
+.jp-arrayFieldWrapper legend {
+  font-size: var(--jp-content-font-size2);
+  color: var(--jp-ui-font-color0);
+  flex-basis: 100%;
+  padding: 4px 0;
+  font-weight: var(--jp-content-heading-font-weight);
+  border-bottom: 1px solid var(--jp-border-color2);
+}
+
+.jp-arrayFieldWrapper .field-description {
+  padding: 4px 0;
+  white-space: pre-wrap;
+}
+
+.jp-arrayFieldWrapper .array-item {
+  width: 100%;
+  border: 1px solid var(--jp-border-color2);
+  border-radius: 4px;
+  margin: 4px;
+}
+
+.jp-ArrayOperations {
+  display: flex;
+  margin-left: 8px;
+}
+
+.jp-ArrayOperationsButton {
+  margin: 2px;
+}
+
+.jp-ArrayOperationsButton .jp-icon3[fill] {
+  fill: var(--jp-ui-font-color0);
+}
+
+button.jp-ArrayOperationsButton.jp-mod-styled:disabled {
+  cursor: not-allowed;
+  opacity: 0.5;
+}
+
+/* RJSF form validation error */
+
+.jp-FormGroup-content .validationErrors {
+  color: var(--jp-error-color0);
+}
+
+/* Hide panel level error as duplicated the field level error */
+.jp-FormGroup-content .panel.errors {
+  display: none;
+}
+
+/* RJSF normal content (settings-editor) */
+
+.jp-FormGroup-contentNormal {
+  display: flex;
+  align-items: center;
+  flex-wrap: wrap;
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-contentItem {
+  margin-left: 7px;
+  color: var(--jp-ui-font-color0);
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-description {
+  flex-basis: 100%;
+  padding: 4px 7px;
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-default {
+  flex-basis: 100%;
+  padding: 4px 7px;
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-fieldLabel {
+  font-size: var(--jp-content-font-size1);
+  font-weight: normal;
+  min-width: 120px;
+}
+
+.jp-FormGroup-contentNormal fieldset:not(:first-child) {
+  margin-left: 7px;
+}
+
+.jp-FormGroup-contentNormal .field-array-of-string .array-item {
+  /* Display `jp-ArrayOperations` buttons side-by-side with content except
+    for small screens where flex-wrap will place them one below the other.
+  */
+  display: flex;
+  align-items: center;
+  flex-wrap: wrap;
+}
+
+.jp-FormGroup-contentNormal .jp-objectFieldWrapper .form-group {
+  padding: 2px 8px 2px var(--jp-private-settingeditor-modifier-indent);
+  margin-top: 2px;
+}
+
+/* RJSF compact content (metadata-form) */
+
+.jp-FormGroup-content.jp-FormGroup-contentCompact {
+  width: 100%;
+}
+
+.jp-FormGroup-contentCompact .form-group {
+  display: flex;
+  padding: 0.5em 0.2em 0.5em 0;
+}
+
+.jp-FormGroup-contentCompact
+  .jp-FormGroup-compactTitle
+  .jp-FormGroup-description {
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-FormGroup-contentCompact .jp-FormGroup-fieldLabel {
+  padding-bottom: 0.3em;
+}
+
+.jp-FormGroup-contentCompact .jp-inputFieldWrapper .form-control {
+  width: 100%;
+  box-sizing: border-box;
+}
+
+.jp-FormGroup-contentCompact .jp-arrayFieldWrapper .jp-FormGroup-compactTitle {
+  padding-bottom: 7px;
+}
+
+.jp-FormGroup-contentCompact
+  .jp-objectFieldWrapper
+  .jp-objectFieldWrapper
+  .form-group {
+  padding: 2px 8px 2px var(--jp-private-settingeditor-modifier-indent);
+  margin-top: 2px;
+}
+
+.jp-FormGroup-contentCompact ul.error-detail {
+  margin-block-start: 0.5em;
+  margin-block-end: 0.5em;
+  padding-inline-start: 1em;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-SidePanel {
+  display: flex;
+  flex-direction: column;
+  min-width: var(--jp-sidebar-min-width);
+  overflow-y: auto;
+  color: var(--jp-ui-font-color1);
+  background: var(--jp-layout-color1);
+  font-size: var(--jp-ui-font-size1);
+}
+
+.jp-SidePanel-header {
+  flex: 0 0 auto;
+  display: flex;
+  border-bottom: var(--jp-border-width) solid var(--jp-border-color2);
+  font-size: var(--jp-ui-font-size0);
+  font-weight: 600;
+  letter-spacing: 1px;
+  margin: 0;
+  padding: 2px;
+  text-transform: uppercase;
+}
+
+.jp-SidePanel-toolbar {
+  flex: 0 0 auto;
+}
+
+.jp-SidePanel-content {
+  flex: 1 1 auto;
+}
+
+.jp-SidePanel-toolbar,
+.jp-AccordionPanel-toolbar {
+  height: var(--jp-private-toolbar-height);
+}
+
+.jp-SidePanel-toolbar.jp-Toolbar-micro {
+  display: none;
+}
+
+.lm-AccordionPanel .jp-AccordionPanel-title {
+  box-sizing: border-box;
+  line-height: 25px;
+  margin: 0;
+  display: flex;
+  align-items: center;
+  background: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  font-size: var(--jp-ui-font-size0);
+}
+
+.jp-AccordionPanel-title {
+  cursor: pointer;
+  user-select: none;
+  -moz-user-select: none;
+  -webkit-user-select: none;
+  text-transform: uppercase;
+}
+
+.lm-AccordionPanel[data-orientation='horizontal'] > .jp-AccordionPanel-title {
+  /* Title is rotated for horizontal accordion panel using CSS */
+  display: block;
+  transform-origin: top left;
+  transform: rotate(-90deg) translate(-100%);
+}
+
+.jp-AccordionPanel-title .lm-AccordionPanel-titleLabel {
+  user-select: none;
+  text-overflow: ellipsis;
+  white-space: nowrap;
+  overflow: hidden;
+}
+
+.jp-AccordionPanel-title .lm-AccordionPanel-titleCollapser {
+  transform: rotate(-90deg);
+  margin: auto 0;
+  height: 16px;
+}
+
+.jp-AccordionPanel-title.lm-mod-expanded .lm-AccordionPanel-titleCollapser {
+  transform: rotate(0deg);
+}
+
+.lm-AccordionPanel .jp-AccordionPanel-toolbar {
+  background: none;
+  box-shadow: none;
+  border: none;
+  margin-left: auto;
+}
+
+.lm-AccordionPanel .lm-SplitPanel-handle:hover {
+  background: var(--jp-layout-color3);
+}
+
+.jp-text-truncated {
+  overflow: hidden;
+  text-overflow: ellipsis;
+  white-space: nowrap;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Spinner {
+  position: absolute;
+  display: flex;
+  justify-content: center;
+  align-items: center;
+  z-index: 10;
+  left: 0;
+  top: 0;
+  width: 100%;
+  height: 100%;
+  background: var(--jp-layout-color0);
+  outline: none;
+}
+
+.jp-SpinnerContent {
+  font-size: 10px;
+  margin: 50px auto;
+  text-indent: -9999em;
+  width: 3em;
+  height: 3em;
+  border-radius: 50%;
+  background: var(--jp-brand-color3);
+  background: linear-gradient(
+    to right,
+    #f37626 10%,
+    rgba(255, 255, 255, 0) 42%
+  );
+  position: relative;
+  animation: load3 1s infinite linear, fadeIn 1s;
+}
+
+.jp-SpinnerContent::before {
+  width: 50%;
+  height: 50%;
+  background: #f37626;
+  border-radius: 100% 0 0;
+  position: absolute;
+  top: 0;
+  left: 0;
+  content: '';
+}
+
+.jp-SpinnerContent::after {
+  background: var(--jp-layout-color0);
+  width: 75%;
+  height: 75%;
+  border-radius: 50%;
+  content: '';
+  margin: auto;
+  position: absolute;
+  top: 0;
+  left: 0;
+  bottom: 0;
+  right: 0;
+}
+
+@keyframes fadeIn {
+  0% {
+    opacity: 0;
+  }
+
+  100% {
+    opacity: 1;
+  }
+}
+
+@keyframes load3 {
+  0% {
+    transform: rotate(0deg);
+  }
+
+  100% {
+    transform: rotate(360deg);
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+button.jp-mod-styled {
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color0);
+  border: none;
+  box-sizing: border-box;
+  text-align: center;
+  line-height: 32px;
+  height: 32px;
+  padding: 0 12px;
+  letter-spacing: 0.8px;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+}
+
+input.jp-mod-styled {
+  background: var(--jp-input-background);
+  height: 28px;
+  box-sizing: border-box;
+  border: var(--jp-border-width) solid var(--jp-border-color1);
+  padding-left: 7px;
+  padding-right: 7px;
+  font-size: var(--jp-ui-font-size2);
+  color: var(--jp-ui-font-color0);
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+}
+
+input[type='checkbox'].jp-mod-styled {
+  appearance: checkbox;
+  -webkit-appearance: checkbox;
+  -moz-appearance: checkbox;
+  height: auto;
+}
+
+input.jp-mod-styled:focus {
+  border: var(--jp-border-width) solid var(--md-blue-500);
+  box-shadow: inset 0 0 4px var(--md-blue-300);
+}
+
+.jp-select-wrapper {
+  display: flex;
+  position: relative;
+  flex-direction: column;
+  padding: 1px;
+  background-color: var(--jp-layout-color1);
+  box-sizing: border-box;
+  margin-bottom: 12px;
+}
+
+.jp-select-wrapper:not(.multiple) {
+  height: 28px;
+}
+
+.jp-select-wrapper.jp-mod-focused select.jp-mod-styled {
+  border: var(--jp-border-width) solid var(--jp-input-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+  background-color: var(--jp-input-active-background);
+}
+
+select.jp-mod-styled:hover {
+  cursor: pointer;
+  color: var(--jp-ui-font-color0);
+  background-color: var(--jp-input-hover-background);
+  box-shadow: inset 0 0 1px rgba(0, 0, 0, 0.5);
+}
+
+select.jp-mod-styled {
+  flex: 1 1 auto;
+  width: 100%;
+  font-size: var(--jp-ui-font-size2);
+  background: var(--jp-input-background);
+  color: var(--jp-ui-font-color0);
+  padding: 0 25px 0 8px;
+  border: var(--jp-border-width) solid var(--jp-input-border-color);
+  border-radius: 0;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+}
+
+select.jp-mod-styled:not([multiple]) {
+  height: 32px;
+}
+
+select.jp-mod-styled[multiple] {
+  max-height: 200px;
+  overflow-y: auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-switch {
+  display: flex;
+  align-items: center;
+  padding-left: 4px;
+  padding-right: 4px;
+  font-size: var(--jp-ui-font-size1);
+  background-color: transparent;
+  color: var(--jp-ui-font-color1);
+  border: none;
+  height: 20px;
+}
+
+.jp-switch:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-switch-label {
+  margin-right: 5px;
+  font-family: var(--jp-ui-font-family);
+}
+
+.jp-switch-track {
+  cursor: pointer;
+  background-color: var(--jp-switch-color, var(--jp-border-color1));
+  -webkit-transition: 0.4s;
+  transition: 0.4s;
+  border-radius: 34px;
+  height: 16px;
+  width: 35px;
+  position: relative;
+}
+
+.jp-switch-track::before {
+  content: '';
+  position: absolute;
+  height: 10px;
+  width: 10px;
+  margin: 3px;
+  left: 0;
+  background-color: var(--jp-ui-inverse-font-color1);
+  -webkit-transition: 0.4s;
+  transition: 0.4s;
+  border-radius: 50%;
+}
+
+.jp-switch[aria-checked='true'] .jp-switch-track {
+  background-color: var(--jp-switch-true-position-color, var(--jp-warn-color0));
+}
+
+.jp-switch[aria-checked='true'] .jp-switch-track::before {
+  /* track width (35) - margins (3 + 3) - thumb width (10) */
+  left: 19px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-toolbar-height: calc(
+    28px + var(--jp-border-width)
+  ); /* leave 28px for content */
+}
+
+.jp-Toolbar {
+  color: var(--jp-ui-font-color1);
+  flex: 0 0 auto;
+  display: flex;
+  flex-direction: row;
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  background: var(--jp-toolbar-background);
+  min-height: var(--jp-toolbar-micro-height);
+  padding: 2px;
+  z-index: 8;
+  overflow-x: hidden;
+}
+
+/* Toolbar items */
+
+.jp-Toolbar > .jp-Toolbar-item.jp-Toolbar-spacer {
+  flex-grow: 1;
+  flex-shrink: 1;
+}
+
+.jp-Toolbar-item.jp-Toolbar-kernelStatus {
+  display: inline-block;
+  width: 32px;
+  background-repeat: no-repeat;
+  background-position: center;
+  background-size: 16px;
+}
+
+.jp-Toolbar > .jp-Toolbar-item {
+  flex: 0 0 auto;
+  display: flex;
+  padding-left: 1px;
+  padding-right: 1px;
+  font-size: var(--jp-ui-font-size1);
+  line-height: var(--jp-private-toolbar-height);
+  height: 100%;
+}
+
+/* Toolbar buttons */
+
+/* This is the div we use to wrap the react component into a Widget */
+div.jp-ToolbarButton {
+  color: transparent;
+  border: none;
+  box-sizing: border-box;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+  padding: 0;
+  margin: 0;
+}
+
+button.jp-ToolbarButtonComponent {
+  background: var(--jp-layout-color1);
+  border: none;
+  box-sizing: border-box;
+  outline: none;
+  appearance: none;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+  padding: 0 6px;
+  margin: 0;
+  height: 24px;
+  border-radius: var(--jp-border-radius);
+  display: flex;
+  align-items: center;
+  text-align: center;
+  font-size: 14px;
+  min-width: unset;
+  min-height: unset;
+}
+
+button.jp-ToolbarButtonComponent:disabled {
+  opacity: 0.4;
+}
+
+button.jp-ToolbarButtonComponent > span {
+  padding: 0;
+  flex: 0 0 auto;
+}
+
+button.jp-ToolbarButtonComponent .jp-ToolbarButtonComponent-label {
+  font-size: var(--jp-ui-font-size1);
+  line-height: 100%;
+  padding-left: 2px;
+  color: var(--jp-ui-font-color1);
+  font-family: var(--jp-ui-font-family);
+}
+
+#jp-main-dock-panel[data-mode='single-document']
+  .jp-MainAreaWidget
+  > .jp-Toolbar.jp-Toolbar-micro {
+  padding: 0;
+  min-height: 0;
+}
+
+#jp-main-dock-panel[data-mode='single-document']
+  .jp-MainAreaWidget
+  > .jp-Toolbar {
+  border: none;
+  box-shadow: none;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-WindowedPanel-outer {
+  position: relative;
+  overflow-y: auto;
+}
+
+.jp-WindowedPanel-inner {
+  position: relative;
+}
+
+.jp-WindowedPanel-window {
+  position: absolute;
+  left: 0;
+  right: 0;
+  overflow: visible;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/* Sibling imports */
+
+body {
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+}
+
+/* Disable native link decoration styles everywhere outside of dialog boxes */
+a {
+  text-decoration: unset;
+  color: unset;
+}
+
+a:hover {
+  text-decoration: unset;
+  color: unset;
+}
+
+/* Accessibility for links inside dialog box text */
+.jp-Dialog-content a {
+  text-decoration: revert;
+  color: var(--jp-content-link-color);
+}
+
+.jp-Dialog-content a:hover {
+  text-decoration: revert;
+}
+
+/* Styles for ui-components */
+.jp-Button {
+  color: var(--jp-ui-font-color2);
+  border-radius: var(--jp-border-radius);
+  padding: 0 12px;
+  font-size: var(--jp-ui-font-size1);
+
+  /* Copy from blueprint 3 */
+  display: inline-flex;
+  flex-direction: row;
+  border: none;
+  cursor: pointer;
+  align-items: center;
+  justify-content: center;
+  text-align: left;
+  vertical-align: middle;
+  min-height: 30px;
+  min-width: 30px;
+}
+
+.jp-Button:disabled {
+  cursor: not-allowed;
+}
+
+.jp-Button:empty {
+  padding: 0 !important;
+}
+
+.jp-Button.jp-mod-small {
+  min-height: 24px;
+  min-width: 24px;
+  font-size: 12px;
+  padding: 0 7px;
+}
+
+/* Use our own theme for hover styles */
+.jp-Button.jp-mod-minimal:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-Button.jp-mod-minimal {
+  background: none;
+}
+
+.jp-InputGroup {
+  display: block;
+  position: relative;
+}
+
+.jp-InputGroup input {
+  box-sizing: border-box;
+  border: none;
+  border-radius: 0;
+  background-color: transparent;
+  color: var(--jp-ui-font-color0);
+  box-shadow: inset 0 0 0 var(--jp-border-width) var(--jp-input-border-color);
+  padding-bottom: 0;
+  padding-top: 0;
+  padding-left: 10px;
+  padding-right: 28px;
+  position: relative;
+  width: 100%;
+  -webkit-appearance: none;
+  -moz-appearance: none;
+  appearance: none;
+  font-size: 14px;
+  font-weight: 400;
+  height: 30px;
+  line-height: 30px;
+  outline: none;
+  vertical-align: middle;
+}
+
+.jp-InputGroup input:focus {
+  box-shadow: inset 0 0 0 var(--jp-border-width)
+      var(--jp-input-active-box-shadow-color),
+    inset 0 0 0 3px var(--jp-input-active-box-shadow-color);
+}
+
+.jp-InputGroup input:disabled {
+  cursor: not-allowed;
+  resize: block;
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-InputGroup input:disabled ~ span {
+  cursor: not-allowed;
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-InputGroup input::placeholder,
+input::placeholder {
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-InputGroupAction {
+  position: absolute;
+  bottom: 1px;
+  right: 0;
+  padding: 6px;
+}
+
+.jp-HTMLSelect.jp-DefaultStyle select {
+  background-color: initial;
+  border: none;
+  border-radius: 0;
+  box-shadow: none;
+  color: var(--jp-ui-font-color0);
+  display: block;
+  font-size: var(--jp-ui-font-size1);
+  font-family: var(--jp-ui-font-family);
+  height: 24px;
+  line-height: 14px;
+  padding: 0 25px 0 10px;
+  text-align: left;
+  -moz-appearance: none;
+  -webkit-appearance: none;
+}
+
+.jp-HTMLSelect.jp-DefaultStyle select:disabled {
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color2);
+  cursor: not-allowed;
+  resize: block;
+}
+
+.jp-HTMLSelect.jp-DefaultStyle select:disabled ~ span {
+  cursor: not-allowed;
+}
+
+/* Use our own theme for hover and option styles */
+/* stylelint-disable-next-line selector-max-type */
+.jp-HTMLSelect.jp-DefaultStyle select:hover,
+.jp-HTMLSelect.jp-DefaultStyle select > option {
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color0);
+}
+
+select {
+  box-sizing: border-box;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Styles
+|----------------------------------------------------------------------------*/
+
+.jp-StatusBar-Widget {
+  display: flex;
+  align-items: center;
+  background: var(--jp-layout-color2);
+  min-height: var(--jp-statusbar-height);
+  justify-content: space-between;
+  padding: 0 10px;
+}
+
+.jp-StatusBar-Left {
+  display: flex;
+  align-items: center;
+  flex-direction: row;
+}
+
+.jp-StatusBar-Middle {
+  display: flex;
+  align-items: center;
+}
+
+.jp-StatusBar-Right {
+  display: flex;
+  align-items: center;
+  flex-direction: row-reverse;
+}
+
+.jp-StatusBar-Item {
+  max-height: var(--jp-statusbar-height);
+  margin: 0 2px;
+  height: var(--jp-statusbar-height);
+  white-space: nowrap;
+  text-overflow: ellipsis;
+  color: var(--jp-ui-font-color1);
+  padding: 0 6px;
+}
+
+.jp-mod-highlighted:hover {
+  background-color: var(--jp-layout-color3);
+}
+
+.jp-mod-clicked {
+  background-color: var(--jp-brand-color1);
+}
+
+.jp-mod-clicked:hover {
+  background-color: var(--jp-brand-color0);
+}
+
+.jp-mod-clicked .jp-StatusBar-TextItem {
+  color: var(--jp-ui-inverse-font-color1);
+}
+
+.jp-StatusBar-HoverItem {
+  box-shadow: '0px 4px 4px rgba(0, 0, 0, 0.25)';
+}
+
+.jp-StatusBar-TextItem {
+  font-size: var(--jp-ui-font-size1);
+  font-family: var(--jp-ui-font-family);
+  line-height: 24px;
+  color: var(--jp-ui-font-color1);
+}
+
+.jp-StatusBar-GroupItem {
+  display: flex;
+  align-items: center;
+  flex-direction: row;
+}
+
+.jp-Statusbar-ProgressCircle svg {
+  display: block;
+  margin: 0 auto;
+  width: 16px;
+  height: 24px;
+  align-self: normal;
+}
+
+.jp-Statusbar-ProgressCircle path {
+  fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-Statusbar-ProgressBar-progress-bar {
+  height: 10px;
+  width: 100px;
+  border: solid 0.25px var(--jp-brand-color2);
+  border-radius: 3px;
+  overflow: hidden;
+  align-self: center;
+}
+
+.jp-Statusbar-ProgressBar-progress-bar > div {
+  background-color: var(--jp-brand-color2);
+  background-image: linear-gradient(
+    -45deg,
+    rgba(255, 255, 255, 0.2) 25%,
+    transparent 25%,
+    transparent 50%,
+    rgba(255, 255, 255, 0.2) 50%,
+    rgba(255, 255, 255, 0.2) 75%,
+    transparent 75%,
+    transparent
+  );
+  background-size: 40px 40px;
+  float: left;
+  width: 0%;
+  height: 100%;
+  font-size: 12px;
+  line-height: 14px;
+  color: #fff;
+  text-align: center;
+  animation: jp-Statusbar-ExecutionTime-progress-bar 2s linear infinite;
+}
+
+.jp-Statusbar-ProgressBar-progress-bar p {
+  color: var(--jp-ui-font-color1);
+  font-family: var(--jp-ui-font-family);
+  font-size: var(--jp-ui-font-size1);
+  line-height: 10px;
+  width: 100px;
+}
+
+@keyframes jp-Statusbar-ExecutionTime-progress-bar {
+  0% {
+    background-position: 0 0;
+  }
+
+  100% {
+    background-position: 40px 40px;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-commandpalette-search-height: 28px;
+}
+
+/*-----------------------------------------------------------------------------
+| Overall styles
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette {
+  padding-bottom: 0;
+  color: var(--jp-ui-font-color1);
+  background: var(--jp-layout-color1);
+
+  /* This is needed so that all font sizing of children done in ems is
+   * relative to this base size */
+  font-size: var(--jp-ui-font-size1);
+}
+
+/*-----------------------------------------------------------------------------
+| Modal variant
+|----------------------------------------------------------------------------*/
+
+.jp-ModalCommandPalette {
+  position: absolute;
+  z-index: 10000;
+  top: 38px;
+  left: 30%;
+  margin: 0;
+  padding: 4px;
+  width: 40%;
+  box-shadow: var(--jp-elevation-z4);
+  border-radius: 4px;
+  background: var(--jp-layout-color0);
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette {
+  max-height: 40vh;
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette .lm-close-icon::after {
+  display: none;
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette .lm-CommandPalette-header {
+  display: none;
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette .lm-CommandPalette-item {
+  margin-left: 4px;
+  margin-right: 4px;
+}
+
+.jp-ModalCommandPalette
+  .lm-CommandPalette
+  .lm-CommandPalette-item.lm-mod-disabled {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Search
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette-search {
+  padding: 4px;
+  background-color: var(--jp-layout-color1);
+  z-index: 2;
+}
+
+.lm-CommandPalette-wrapper {
+  overflow: overlay;
+  padding: 0 9px;
+  background-color: var(--jp-input-active-background);
+  height: 30px;
+  box-shadow: inset 0 0 0 var(--jp-border-width) var(--jp-input-border-color);
+}
+
+.lm-CommandPalette.lm-mod-focused .lm-CommandPalette-wrapper {
+  box-shadow: inset 0 0 0 1px var(--jp-input-active-box-shadow-color),
+    inset 0 0 0 3px var(--jp-input-active-box-shadow-color);
+}
+
+.jp-SearchIconGroup {
+  color: white;
+  background-color: var(--jp-brand-color1);
+  position: absolute;
+  top: 4px;
+  right: 4px;
+  padding: 5px 5px 1px;
+}
+
+.jp-SearchIconGroup svg {
+  height: 20px;
+  width: 20px;
+}
+
+.jp-SearchIconGroup .jp-icon3[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.lm-CommandPalette-input {
+  background: transparent;
+  width: calc(100% - 18px);
+  float: left;
+  border: none;
+  outline: none;
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color0);
+  line-height: var(--jp-private-commandpalette-search-height);
+}
+
+.lm-CommandPalette-input::-webkit-input-placeholder,
+.lm-CommandPalette-input::-moz-placeholder,
+.lm-CommandPalette-input:-ms-input-placeholder {
+  color: var(--jp-ui-font-color2);
+  font-size: var(--jp-ui-font-size1);
+}
+
+/*-----------------------------------------------------------------------------
+| Results
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette-header:first-child {
+  margin-top: 0;
+}
+
+.lm-CommandPalette-header {
+  border-bottom: solid var(--jp-border-width) var(--jp-border-color2);
+  color: var(--jp-ui-font-color1);
+  cursor: pointer;
+  display: flex;
+  font-size: var(--jp-ui-font-size0);
+  font-weight: 600;
+  letter-spacing: 1px;
+  margin-top: 8px;
+  padding: 8px 0 8px 12px;
+  text-transform: uppercase;
+}
+
+.lm-CommandPalette-header.lm-mod-active {
+  background: var(--jp-layout-color2);
+}
+
+.lm-CommandPalette-header > mark {
+  background-color: transparent;
+  font-weight: bold;
+  color: var(--jp-ui-font-color1);
+}
+
+.lm-CommandPalette-item {
+  padding: 4px 12px 4px 4px;
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  font-weight: 400;
+  display: flex;
+}
+
+.lm-CommandPalette-item.lm-mod-disabled {
+  color: var(--jp-ui-font-color2);
+}
+
+.lm-CommandPalette-item.lm-mod-active {
+  color: var(--jp-ui-inverse-font-color1);
+  background: var(--jp-brand-color1);
+}
+
+.lm-CommandPalette-item.lm-mod-active .lm-CommandPalette-itemLabel > mark {
+  color: var(--jp-ui-inverse-font-color0);
+}
+
+.lm-CommandPalette-item.lm-mod-active .jp-icon-selectable[fill] {
+  fill: var(--jp-layout-color0);
+}
+
+.lm-CommandPalette-item.lm-mod-active:hover:not(.lm-mod-disabled) {
+  color: var(--jp-ui-inverse-font-color1);
+  background: var(--jp-brand-color1);
+}
+
+.lm-CommandPalette-item:hover:not(.lm-mod-active):not(.lm-mod-disabled) {
+  background: var(--jp-layout-color2);
+}
+
+.lm-CommandPalette-itemContent {
+  overflow: hidden;
+}
+
+.lm-CommandPalette-itemLabel > mark {
+  color: var(--jp-ui-font-color0);
+  background-color: transparent;
+  font-weight: bold;
+}
+
+.lm-CommandPalette-item.lm-mod-disabled mark {
+  color: var(--jp-ui-font-color2);
+}
+
+.lm-CommandPalette-item .lm-CommandPalette-itemIcon {
+  margin: 0 4px 0 0;
+  position: relative;
+  width: 16px;
+  top: 2px;
+  flex: 0 0 auto;
+}
+
+.lm-CommandPalette-item.lm-mod-disabled .lm-CommandPalette-itemIcon {
+  opacity: 0.6;
+}
+
+.lm-CommandPalette-item .lm-CommandPalette-itemShortcut {
+  flex: 0 0 auto;
+}
+
+.lm-CommandPalette-itemCaption {
+  display: none;
+}
+
+.lm-CommandPalette-content {
+  background-color: var(--jp-layout-color1);
+}
+
+.lm-CommandPalette-content:empty::after {
+  content: 'No results';
+  margin: auto;
+  margin-top: 20px;
+  width: 100px;
+  display: block;
+  font-size: var(--jp-ui-font-size2);
+  font-family: var(--jp-ui-font-family);
+  font-weight: lighter;
+}
+
+.lm-CommandPalette-emptyMessage {
+  text-align: center;
+  margin-top: 24px;
+  line-height: 1.32;
+  padding: 0 8px;
+  color: var(--jp-content-font-color3);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Dialog {
+  position: absolute;
+  z-index: 10000;
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  justify-content: center;
+  top: 0;
+  left: 0;
+  margin: 0;
+  padding: 0;
+  width: 100%;
+  height: 100%;
+  background: var(--jp-dialog-background);
+}
+
+.jp-Dialog-content {
+  display: flex;
+  flex-direction: column;
+  margin-left: auto;
+  margin-right: auto;
+  background: var(--jp-layout-color1);
+  padding: 24px 24px 12px;
+  min-width: 300px;
+  min-height: 150px;
+  max-width: 1000px;
+  max-height: 500px;
+  box-sizing: border-box;
+  box-shadow: var(--jp-elevation-z20);
+  word-wrap: break-word;
+  border-radius: var(--jp-border-radius);
+
+  /* This is needed so that all font sizing of children done in ems is
+   * relative to this base size */
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color1);
+  resize: both;
+}
+
+.jp-Dialog-content.jp-Dialog-content-small {
+  max-width: 500px;
+}
+
+.jp-Dialog-button {
+  overflow: visible;
+}
+
+button.jp-Dialog-button:focus {
+  outline: 1px solid var(--jp-brand-color1);
+  outline-offset: 4px;
+  -moz-outline-radius: 0;
+}
+
+button.jp-Dialog-button:focus::-moz-focus-inner {
+  border: 0;
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-accept:focus,
+button.jp-Dialog-button.jp-mod-styled.jp-mod-warn:focus,
+button.jp-Dialog-button.jp-mod-styled.jp-mod-reject:focus {
+  outline-offset: 4px;
+  -moz-outline-radius: 0;
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-accept:focus {
+  outline: 1px solid var(--jp-accept-color-normal, var(--jp-brand-color1));
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-warn:focus {
+  outline: 1px solid var(--jp-warn-color-normal, var(--jp-error-color1));
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-reject:focus {
+  outline: 1px solid var(--jp-reject-color-normal, var(--md-grey-600));
+}
+
+button.jp-Dialog-close-button {
+  padding: 0;
+  height: 100%;
+  min-width: unset;
+  min-height: unset;
+}
+
+.jp-Dialog-header {
+  display: flex;
+  justify-content: space-between;
+  flex: 0 0 auto;
+  padding-bottom: 12px;
+  font-size: var(--jp-ui-font-size3);
+  font-weight: 400;
+  color: var(--jp-ui-font-color1);
+}
+
+.jp-Dialog-body {
+  display: flex;
+  flex-direction: column;
+  flex: 1 1 auto;
+  font-size: var(--jp-ui-font-size1);
+  background: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  overflow: auto;
+}
+
+.jp-Dialog-footer {
+  display: flex;
+  flex-direction: row;
+  justify-content: flex-end;
+  align-items: center;
+  flex: 0 0 auto;
+  margin-left: -12px;
+  margin-right: -12px;
+  padding: 12px;
+}
+
+.jp-Dialog-checkbox {
+  padding-right: 5px;
+}
+
+.jp-Dialog-checkbox > input:focus-visible {
+  outline: 1px solid var(--jp-input-active-border-color);
+  outline-offset: 1px;
+}
+
+.jp-Dialog-spacer {
+  flex: 1 1 auto;
+}
+
+.jp-Dialog-title {
+  overflow: hidden;
+  white-space: nowrap;
+  text-overflow: ellipsis;
+}
+
+.jp-Dialog-body > .jp-select-wrapper {
+  width: 100%;
+}
+
+.jp-Dialog-body > button {
+  padding: 0 16px;
+}
+
+.jp-Dialog-body > label {
+  line-height: 1.4;
+  color: var(--jp-ui-font-color0);
+}
+
+.jp-Dialog-button.jp-mod-styled:not(:last-child) {
+  margin-right: 12px;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-Input-Boolean-Dialog {
+  flex-direction: row-reverse;
+  align-items: end;
+  width: 100%;
+}
+
+.jp-Input-Boolean-Dialog > label {
+  flex: 1 1 auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-MainAreaWidget > :focus {
+  outline: none;
+}
+
+.jp-MainAreaWidget .jp-MainAreaWidget-error {
+  padding: 6px;
+}
+
+.jp-MainAreaWidget .jp-MainAreaWidget-error > pre {
+  width: auto;
+  padding: 10px;
+  background: var(--jp-error-color3);
+  border: var(--jp-border-width) solid var(--jp-error-color1);
+  border-radius: var(--jp-border-radius);
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  white-space: pre-wrap;
+  word-wrap: break-word;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/**
+ * google-material-color v1.2.6
+ * https://github.com/danlevan/google-material-color
+ */
+:root {
+  --md-red-50: #ffebee;
+  --md-red-100: #ffcdd2;
+  --md-red-200: #ef9a9a;
+  --md-red-300: #e57373;
+  --md-red-400: #ef5350;
+  --md-red-500: #f44336;
+  --md-red-600: #e53935;
+  --md-red-700: #d32f2f;
+  --md-red-800: #c62828;
+  --md-red-900: #b71c1c;
+  --md-red-A100: #ff8a80;
+  --md-red-A200: #ff5252;
+  --md-red-A400: #ff1744;
+  --md-red-A700: #d50000;
+  --md-pink-50: #fce4ec;
+  --md-pink-100: #f8bbd0;
+  --md-pink-200: #f48fb1;
+  --md-pink-300: #f06292;
+  --md-pink-400: #ec407a;
+  --md-pink-500: #e91e63;
+  --md-pink-600: #d81b60;
+  --md-pink-700: #c2185b;
+  --md-pink-800: #ad1457;
+  --md-pink-900: #880e4f;
+  --md-pink-A100: #ff80ab;
+  --md-pink-A200: #ff4081;
+  --md-pink-A400: #f50057;
+  --md-pink-A700: #c51162;
+  --md-purple-50: #f3e5f5;
+  --md-purple-100: #e1bee7;
+  --md-purple-200: #ce93d8;
+  --md-purple-300: #ba68c8;
+  --md-purple-400: #ab47bc;
+  --md-purple-500: #9c27b0;
+  --md-purple-600: #8e24aa;
+  --md-purple-700: #7b1fa2;
+  --md-purple-800: #6a1b9a;
+  --md-purple-900: #4a148c;
+  --md-purple-A100: #ea80fc;
+  --md-purple-A200: #e040fb;
+  --md-purple-A400: #d500f9;
+  --md-purple-A700: #a0f;
+  --md-deep-purple-50: #ede7f6;
+  --md-deep-purple-100: #d1c4e9;
+  --md-deep-purple-200: #b39ddb;
+  --md-deep-purple-300: #9575cd;
+  --md-deep-purple-400: #7e57c2;
+  --md-deep-purple-500: #673ab7;
+  --md-deep-purple-600: #5e35b1;
+  --md-deep-purple-700: #512da8;
+  --md-deep-purple-800: #4527a0;
+  --md-deep-purple-900: #311b92;
+  --md-deep-purple-A100: #b388ff;
+  --md-deep-purple-A200: #7c4dff;
+  --md-deep-purple-A400: #651fff;
+  --md-deep-purple-A700: #6200ea;
+  --md-indigo-50: #e8eaf6;
+  --md-indigo-100: #c5cae9;
+  --md-indigo-200: #9fa8da;
+  --md-indigo-300: #7986cb;
+  --md-indigo-400: #5c6bc0;
+  --md-indigo-500: #3f51b5;
+  --md-indigo-600: #3949ab;
+  --md-indigo-700: #303f9f;
+  --md-indigo-800: #283593;
+  --md-indigo-900: #1a237e;
+  --md-indigo-A100: #8c9eff;
+  --md-indigo-A200: #536dfe;
+  --md-indigo-A400: #3d5afe;
+  --md-indigo-A700: #304ffe;
+  --md-blue-50: #e3f2fd;
+  --md-blue-100: #bbdefb;
+  --md-blue-200: #90caf9;
+  --md-blue-300: #64b5f6;
+  --md-blue-400: #42a5f5;
+  --md-blue-500: #2196f3;
+  --md-blue-600: #1e88e5;
+  --md-blue-700: #1976d2;
+  --md-blue-800: #1565c0;
+  --md-blue-900: #0d47a1;
+  --md-blue-A100: #82b1ff;
+  --md-blue-A200: #448aff;
+  --md-blue-A400: #2979ff;
+  --md-blue-A700: #2962ff;
+  --md-light-blue-50: #e1f5fe;
+  --md-light-blue-100: #b3e5fc;
+  --md-light-blue-200: #81d4fa;
+  --md-light-blue-300: #4fc3f7;
+  --md-light-blue-400: #29b6f6;
+  --md-light-blue-500: #03a9f4;
+  --md-light-blue-600: #039be5;
+  --md-light-blue-700: #0288d1;
+  --md-light-blue-800: #0277bd;
+  --md-light-blue-900: #01579b;
+  --md-light-blue-A100: #80d8ff;
+  --md-light-blue-A200: #40c4ff;
+  --md-light-blue-A400: #00b0ff;
+  --md-light-blue-A700: #0091ea;
+  --md-cyan-50: #e0f7fa;
+  --md-cyan-100: #b2ebf2;
+  --md-cyan-200: #80deea;
+  --md-cyan-300: #4dd0e1;
+  --md-cyan-400: #26c6da;
+  --md-cyan-500: #00bcd4;
+  --md-cyan-600: #00acc1;
+  --md-cyan-700: #0097a7;
+  --md-cyan-800: #00838f;
+  --md-cyan-900: #006064;
+  --md-cyan-A100: #84ffff;
+  --md-cyan-A200: #18ffff;
+  --md-cyan-A400: #00e5ff;
+  --md-cyan-A700: #00b8d4;
+  --md-teal-50: #e0f2f1;
+  --md-teal-100: #b2dfdb;
+  --md-teal-200: #80cbc4;
+  --md-teal-300: #4db6ac;
+  --md-teal-400: #26a69a;
+  --md-teal-500: #009688;
+  --md-teal-600: #00897b;
+  --md-teal-700: #00796b;
+  --md-teal-800: #00695c;
+  --md-teal-900: #004d40;
+  --md-teal-A100: #a7ffeb;
+  --md-teal-A200: #64ffda;
+  --md-teal-A400: #1de9b6;
+  --md-teal-A700: #00bfa5;
+  --md-green-50: #e8f5e9;
+  --md-green-100: #c8e6c9;
+  --md-green-200: #a5d6a7;
+  --md-green-300: #81c784;
+  --md-green-400: #66bb6a;
+  --md-green-500: #4caf50;
+  --md-green-600: #43a047;
+  --md-green-700: #388e3c;
+  --md-green-800: #2e7d32;
+  --md-green-900: #1b5e20;
+  --md-green-A100: #b9f6ca;
+  --md-green-A200: #69f0ae;
+  --md-green-A400: #00e676;
+  --md-green-A700: #00c853;
+  --md-light-green-50: #f1f8e9;
+  --md-light-green-100: #dcedc8;
+  --md-light-green-200: #c5e1a5;
+  --md-light-green-300: #aed581;
+  --md-light-green-400: #9ccc65;
+  --md-light-green-500: #8bc34a;
+  --md-light-green-600: #7cb342;
+  --md-light-green-700: #689f38;
+  --md-light-green-800: #558b2f;
+  --md-light-green-900: #33691e;
+  --md-light-green-A100: #ccff90;
+  --md-light-green-A200: #b2ff59;
+  --md-light-green-A400: #76ff03;
+  --md-light-green-A700: #64dd17;
+  --md-lime-50: #f9fbe7;
+  --md-lime-100: #f0f4c3;
+  --md-lime-200: #e6ee9c;
+  --md-lime-300: #dce775;
+  --md-lime-400: #d4e157;
+  --md-lime-500: #cddc39;
+  --md-lime-600: #c0ca33;
+  --md-lime-700: #afb42b;
+  --md-lime-800: #9e9d24;
+  --md-lime-900: #827717;
+  --md-lime-A100: #f4ff81;
+  --md-lime-A200: #eeff41;
+  --md-lime-A400: #c6ff00;
+  --md-lime-A700: #aeea00;
+  --md-yellow-50: #fffde7;
+  --md-yellow-100: #fff9c4;
+  --md-yellow-200: #fff59d;
+  --md-yellow-300: #fff176;
+  --md-yellow-400: #ffee58;
+  --md-yellow-500: #ffeb3b;
+  --md-yellow-600: #fdd835;
+  --md-yellow-700: #fbc02d;
+  --md-yellow-800: #f9a825;
+  --md-yellow-900: #f57f17;
+  --md-yellow-A100: #ffff8d;
+  --md-yellow-A200: #ff0;
+  --md-yellow-A400: #ffea00;
+  --md-yellow-A700: #ffd600;
+  --md-amber-50: #fff8e1;
+  --md-amber-100: #ffecb3;
+  --md-amber-200: #ffe082;
+  --md-amber-300: #ffd54f;
+  --md-amber-400: #ffca28;
+  --md-amber-500: #ffc107;
+  --md-amber-600: #ffb300;
+  --md-amber-700: #ffa000;
+  --md-amber-800: #ff8f00;
+  --md-amber-900: #ff6f00;
+  --md-amber-A100: #ffe57f;
+  --md-amber-A200: #ffd740;
+  --md-amber-A400: #ffc400;
+  --md-amber-A700: #ffab00;
+  --md-orange-50: #fff3e0;
+  --md-orange-100: #ffe0b2;
+  --md-orange-200: #ffcc80;
+  --md-orange-300: #ffb74d;
+  --md-orange-400: #ffa726;
+  --md-orange-500: #ff9800;
+  --md-orange-600: #fb8c00;
+  --md-orange-700: #f57c00;
+  --md-orange-800: #ef6c00;
+  --md-orange-900: #e65100;
+  --md-orange-A100: #ffd180;
+  --md-orange-A200: #ffab40;
+  --md-orange-A400: #ff9100;
+  --md-orange-A700: #ff6d00;
+  --md-deep-orange-50: #fbe9e7;
+  --md-deep-orange-100: #ffccbc;
+  --md-deep-orange-200: #ffab91;
+  --md-deep-orange-300: #ff8a65;
+  --md-deep-orange-400: #ff7043;
+  --md-deep-orange-500: #ff5722;
+  --md-deep-orange-600: #f4511e;
+  --md-deep-orange-700: #e64a19;
+  --md-deep-orange-800: #d84315;
+  --md-deep-orange-900: #bf360c;
+  --md-deep-orange-A100: #ff9e80;
+  --md-deep-orange-A200: #ff6e40;
+  --md-deep-orange-A400: #ff3d00;
+  --md-deep-orange-A700: #dd2c00;
+  --md-brown-50: #efebe9;
+  --md-brown-100: #d7ccc8;
+  --md-brown-200: #bcaaa4;
+  --md-brown-300: #a1887f;
+  --md-brown-400: #8d6e63;
+  --md-brown-500: #795548;
+  --md-brown-600: #6d4c41;
+  --md-brown-700: #5d4037;
+  --md-brown-800: #4e342e;
+  --md-brown-900: #3e2723;
+  --md-grey-50: #fafafa;
+  --md-grey-100: #f5f5f5;
+  --md-grey-200: #eee;
+  --md-grey-300: #e0e0e0;
+  --md-grey-400: #bdbdbd;
+  --md-grey-500: #9e9e9e;
+  --md-grey-600: #757575;
+  --md-grey-700: #616161;
+  --md-grey-800: #424242;
+  --md-grey-900: #212121;
+  --md-blue-grey-50: #eceff1;
+  --md-blue-grey-100: #cfd8dc;
+  --md-blue-grey-200: #b0bec5;
+  --md-blue-grey-300: #90a4ae;
+  --md-blue-grey-400: #78909c;
+  --md-blue-grey-500: #607d8b;
+  --md-blue-grey-600: #546e7a;
+  --md-blue-grey-700: #455a64;
+  --md-blue-grey-800: #37474f;
+  --md-blue-grey-900: #263238;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| RenderedText
+|----------------------------------------------------------------------------*/
+
+:root {
+  /* This is the padding value to fill the gaps between lines containing spans with background color. */
+  --jp-private-code-span-padding: calc(
+    (var(--jp-code-line-height) - 1) * var(--jp-code-font-size) / 2
+  );
+}
+
+.jp-RenderedText {
+  text-align: left;
+  padding-left: var(--jp-code-padding);
+  line-height: var(--jp-code-line-height);
+  font-family: var(--jp-code-font-family);
+}
+
+.jp-RenderedText pre,
+.jp-RenderedJavaScript pre,
+.jp-RenderedHTMLCommon pre {
+  color: var(--jp-content-font-color1);
+  font-size: var(--jp-code-font-size);
+  border: none;
+  margin: 0;
+  padding: 0;
+}
+
+.jp-RenderedText pre a:link {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+.jp-RenderedText pre a:hover {
+  text-decoration: underline;
+  color: var(--jp-content-link-color);
+}
+
+.jp-RenderedText pre a:visited {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+/* console foregrounds and backgrounds */
+.jp-RenderedText pre .ansi-black-fg {
+  color: #3e424d;
+}
+
+.jp-RenderedText pre .ansi-red-fg {
+  color: #e75c58;
+}
+
+.jp-RenderedText pre .ansi-green-fg {
+  color: #00a250;
+}
+
+.jp-RenderedText pre .ansi-yellow-fg {
+  color: #ddb62b;
+}
+
+.jp-RenderedText pre .ansi-blue-fg {
+  color: #208ffb;
+}
+
+.jp-RenderedText pre .ansi-magenta-fg {
+  color: #d160c4;
+}
+
+.jp-RenderedText pre .ansi-cyan-fg {
+  color: #60c6c8;
+}
+
+.jp-RenderedText pre .ansi-white-fg {
+  color: #c5c1b4;
+}
+
+.jp-RenderedText pre .ansi-black-bg {
+  background-color: #3e424d;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-red-bg {
+  background-color: #e75c58;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-green-bg {
+  background-color: #00a250;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-yellow-bg {
+  background-color: #ddb62b;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-blue-bg {
+  background-color: #208ffb;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-magenta-bg {
+  background-color: #d160c4;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-cyan-bg {
+  background-color: #60c6c8;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-white-bg {
+  background-color: #c5c1b4;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-black-intense-fg {
+  color: #282c36;
+}
+
+.jp-RenderedText pre .ansi-red-intense-fg {
+  color: #b22b31;
+}
+
+.jp-RenderedText pre .ansi-green-intense-fg {
+  color: #007427;
+}
+
+.jp-RenderedText pre .ansi-yellow-intense-fg {
+  color: #b27d12;
+}
+
+.jp-RenderedText pre .ansi-blue-intense-fg {
+  color: #0065ca;
+}
+
+.jp-RenderedText pre .ansi-magenta-intense-fg {
+  color: #a03196;
+}
+
+.jp-RenderedText pre .ansi-cyan-intense-fg {
+  color: #258f8f;
+}
+
+.jp-RenderedText pre .ansi-white-intense-fg {
+  color: #a1a6b2;
+}
+
+.jp-RenderedText pre .ansi-black-intense-bg {
+  background-color: #282c36;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-red-intense-bg {
+  background-color: #b22b31;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-green-intense-bg {
+  background-color: #007427;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-yellow-intense-bg {
+  background-color: #b27d12;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-blue-intense-bg {
+  background-color: #0065ca;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-magenta-intense-bg {
+  background-color: #a03196;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-cyan-intense-bg {
+  background-color: #258f8f;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-white-intense-bg {
+  background-color: #a1a6b2;
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-default-inverse-fg {
+  color: var(--jp-ui-inverse-font-color0);
+}
+
+.jp-RenderedText pre .ansi-default-inverse-bg {
+  background-color: var(--jp-inverse-layout-color0);
+  padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-bold {
+  font-weight: bold;
+}
+
+.jp-RenderedText pre .ansi-underline {
+  text-decoration: underline;
+}
+
+.jp-RenderedText[data-mime-type='application/vnd.jupyter.stderr'] {
+  background: var(--jp-rendermime-error-background);
+  padding-top: var(--jp-code-padding);
+}
+
+/*-----------------------------------------------------------------------------
+| RenderedLatex
+|----------------------------------------------------------------------------*/
+
+.jp-RenderedLatex {
+  color: var(--jp-content-font-color1);
+  font-size: var(--jp-content-font-size1);
+  line-height: var(--jp-content-line-height);
+}
+
+/* Left-justify outputs.*/
+.jp-OutputArea-output.jp-RenderedLatex {
+  padding: var(--jp-code-padding);
+  text-align: left;
+}
+
+/*-----------------------------------------------------------------------------
+| RenderedHTML
+|----------------------------------------------------------------------------*/
+
+.jp-RenderedHTMLCommon {
+  color: var(--jp-content-font-color1);
+  font-family: var(--jp-content-font-family);
+  font-size: var(--jp-content-font-size1);
+  line-height: var(--jp-content-line-height);
+
+  /* Give a bit more R padding on Markdown text to keep line lengths reasonable */
+  padding-right: 20px;
+}
+
+.jp-RenderedHTMLCommon em {
+  font-style: italic;
+}
+
+.jp-RenderedHTMLCommon strong {
+  font-weight: bold;
+}
+
+.jp-RenderedHTMLCommon u {
+  text-decoration: underline;
+}
+
+.jp-RenderedHTMLCommon a:link {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+.jp-RenderedHTMLCommon a:hover {
+  text-decoration: underline;
+  color: var(--jp-content-link-color);
+}
+
+.jp-RenderedHTMLCommon a:visited {
+  text-decoration: none;
+  color: var(--jp-content-link-color);
+}
+
+/* Headings */
+
+.jp-RenderedHTMLCommon h1,
+.jp-RenderedHTMLCommon h2,
+.jp-RenderedHTMLCommon h3,
+.jp-RenderedHTMLCommon h4,
+.jp-RenderedHTMLCommon h5,
+.jp-RenderedHTMLCommon h6 {
+  line-height: var(--jp-content-heading-line-height);
+  font-weight: var(--jp-content-heading-font-weight);
+  font-style: normal;
+  margin: var(--jp-content-heading-margin-top) 0
+    var(--jp-content-heading-margin-bottom) 0;
+}
+
+.jp-RenderedHTMLCommon h1:first-child,
+.jp-RenderedHTMLCommon h2:first-child,
+.jp-RenderedHTMLCommon h3:first-child,
+.jp-RenderedHTMLCommon h4:first-child,
+.jp-RenderedHTMLCommon h5:first-child,
+.jp-RenderedHTMLCommon h6:first-child {
+  margin-top: calc(0.5 * var(--jp-content-heading-margin-top));
+}
+
+.jp-RenderedHTMLCommon h1:last-child,
+.jp-RenderedHTMLCommon h2:last-child,
+.jp-RenderedHTMLCommon h3:last-child,
+.jp-RenderedHTMLCommon h4:last-child,
+.jp-RenderedHTMLCommon h5:last-child,
+.jp-RenderedHTMLCommon h6:last-child {
+  margin-bottom: calc(0.5 * var(--jp-content-heading-margin-bottom));
+}
+
+.jp-RenderedHTMLCommon h1 {
+  font-size: var(--jp-content-font-size5);
+}
+
+.jp-RenderedHTMLCommon h2 {
+  font-size: var(--jp-content-font-size4);
+}
+
+.jp-RenderedHTMLCommon h3 {
+  font-size: var(--jp-content-font-size3);
+}
+
+.jp-RenderedHTMLCommon h4 {
+  font-size: var(--jp-content-font-size2);
+}
+
+.jp-RenderedHTMLCommon h5 {
+  font-size: var(--jp-content-font-size1);
+}
+
+.jp-RenderedHTMLCommon h6 {
+  font-size: var(--jp-content-font-size0);
+}
+
+/* Lists */
+
+/* stylelint-disable selector-max-type, selector-max-compound-selectors */
+
+.jp-RenderedHTMLCommon ul:not(.list-inline),
+.jp-RenderedHTMLCommon ol:not(.list-inline) {
+  padding-left: 2em;
+}
+
+.jp-RenderedHTMLCommon ul {
+  list-style: disc;
+}
+
+.jp-RenderedHTMLCommon ul ul {
+  list-style: square;
+}
+
+.jp-RenderedHTMLCommon ul ul ul {
+  list-style: circle;
+}
+
+.jp-RenderedHTMLCommon ol {
+  list-style: decimal;
+}
+
+.jp-RenderedHTMLCommon ol ol {
+  list-style: upper-alpha;
+}
+
+.jp-RenderedHTMLCommon ol ol ol {
+  list-style: lower-alpha;
+}
+
+.jp-RenderedHTMLCommon ol ol ol ol {
+  list-style: lower-roman;
+}
+
+.jp-RenderedHTMLCommon ol ol ol ol ol {
+  list-style: decimal;
+}
+
+.jp-RenderedHTMLCommon ol,
+.jp-RenderedHTMLCommon ul {
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon ul ul,
+.jp-RenderedHTMLCommon ul ol,
+.jp-RenderedHTMLCommon ol ul,
+.jp-RenderedHTMLCommon ol ol {
+  margin-bottom: 0;
+}
+
+/* stylelint-enable selector-max-type, selector-max-compound-selectors */
+
+.jp-RenderedHTMLCommon hr {
+  color: var(--jp-border-color2);
+  background-color: var(--jp-border-color1);
+  margin-top: 1em;
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon > pre {
+  margin: 1.5em 2em;
+}
+
+.jp-RenderedHTMLCommon pre,
+.jp-RenderedHTMLCommon code {
+  border: 0;
+  background-color: var(--jp-layout-color0);
+  color: var(--jp-content-font-color1);
+  font-family: var(--jp-code-font-family);
+  font-size: inherit;
+  line-height: var(--jp-code-line-height);
+  padding: 0;
+  white-space: pre-wrap;
+}
+
+.jp-RenderedHTMLCommon :not(pre) > code {
+  background-color: var(--jp-layout-color2);
+  padding: 1px 5px;
+}
+
+/* Tables */
+
+.jp-RenderedHTMLCommon table {
+  border-collapse: collapse;
+  border-spacing: 0;
+  border: none;
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  table-layout: fixed;
+  margin-left: auto;
+  margin-bottom: 1em;
+  margin-right: auto;
+}
+
+.jp-RenderedHTMLCommon thead {
+  border-bottom: var(--jp-border-width) solid var(--jp-border-color1);
+  vertical-align: bottom;
+}
+
+.jp-RenderedHTMLCommon td,
+.jp-RenderedHTMLCommon th,
+.jp-RenderedHTMLCommon tr {
+  vertical-align: middle;
+  padding: 0.5em;
+  line-height: normal;
+  white-space: normal;
+  max-width: none;
+  border: none;
+}
+
+.jp-RenderedMarkdown.jp-RenderedHTMLCommon td,
+.jp-RenderedMarkdown.jp-RenderedHTMLCommon th {
+  max-width: none;
+}
+
+:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon td,
+:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon th,
+:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon tr {
+  text-align: right;
+}
+
+.jp-RenderedHTMLCommon th {
+  font-weight: bold;
+}
+
+.jp-RenderedHTMLCommon tbody tr:nth-child(odd) {
+  background: var(--jp-layout-color0);
+}
+
+.jp-RenderedHTMLCommon tbody tr:nth-child(even) {
+  background: var(--jp-rendermime-table-row-background);
+}
+
+.jp-RenderedHTMLCommon tbody tr:hover {
+  background: var(--jp-rendermime-table-row-hover-background);
+}
+
+.jp-RenderedHTMLCommon p {
+  text-align: left;
+  margin: 0;
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon img {
+  -moz-force-broken-image-icon: 1;
+}
+
+/* Restrict to direct children as other images could be nested in other content. */
+.jp-RenderedHTMLCommon > img {
+  display: block;
+  margin-left: 0;
+  margin-right: 0;
+  margin-bottom: 1em;
+}
+
+/* Change color behind transparent images if they need it... */
+[data-jp-theme-light='false'] .jp-RenderedImage img.jp-needs-light-background {
+  background-color: var(--jp-inverse-layout-color1);
+}
+
+[data-jp-theme-light='true'] .jp-RenderedImage img.jp-needs-dark-background {
+  background-color: var(--jp-inverse-layout-color1);
+}
+
+.jp-RenderedHTMLCommon img,
+.jp-RenderedImage img,
+.jp-RenderedHTMLCommon svg,
+.jp-RenderedSVG svg {
+  max-width: 100%;
+  height: auto;
+}
+
+.jp-RenderedHTMLCommon img.jp-mod-unconfined,
+.jp-RenderedImage img.jp-mod-unconfined,
+.jp-RenderedHTMLCommon svg.jp-mod-unconfined,
+.jp-RenderedSVG svg.jp-mod-unconfined {
+  max-width: none;
+}
+
+.jp-RenderedHTMLCommon .alert {
+  padding: var(--jp-notebook-padding);
+  border: var(--jp-border-width) solid transparent;
+  border-radius: var(--jp-border-radius);
+  margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon .alert-info {
+  color: var(--jp-info-color0);
+  background-color: var(--jp-info-color3);
+  border-color: var(--jp-info-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-info hr {
+  border-color: var(--jp-info-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-info > p:last-child,
+.jp-RenderedHTMLCommon .alert-info > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon .alert-warning {
+  color: var(--jp-warn-color0);
+  background-color: var(--jp-warn-color3);
+  border-color: var(--jp-warn-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-warning hr {
+  border-color: var(--jp-warn-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-warning > p:last-child,
+.jp-RenderedHTMLCommon .alert-warning > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon .alert-success {
+  color: var(--jp-success-color0);
+  background-color: var(--jp-success-color3);
+  border-color: var(--jp-success-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-success hr {
+  border-color: var(--jp-success-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-success > p:last-child,
+.jp-RenderedHTMLCommon .alert-success > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon .alert-danger {
+  color: var(--jp-error-color0);
+  background-color: var(--jp-error-color3);
+  border-color: var(--jp-error-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-danger hr {
+  border-color: var(--jp-error-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-danger > p:last-child,
+.jp-RenderedHTMLCommon .alert-danger > ul:last-child {
+  margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon blockquote {
+  margin: 1em 2em;
+  padding: 0 1em;
+  border-left: 5px solid var(--jp-border-color2);
+}
+
+a.jp-InternalAnchorLink {
+  visibility: hidden;
+  margin-left: 8px;
+  color: var(--md-blue-800);
+}
+
+h1:hover .jp-InternalAnchorLink,
+h2:hover .jp-InternalAnchorLink,
+h3:hover .jp-InternalAnchorLink,
+h4:hover .jp-InternalAnchorLink,
+h5:hover .jp-InternalAnchorLink,
+h6:hover .jp-InternalAnchorLink {
+  visibility: visible;
+}
+
+.jp-RenderedHTMLCommon kbd {
+  background-color: var(--jp-rendermime-table-row-background);
+  border: 1px solid var(--jp-border-color0);
+  border-bottom-color: var(--jp-border-color2);
+  border-radius: 3px;
+  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.25);
+  display: inline-block;
+  font-size: var(--jp-ui-font-size0);
+  line-height: 1em;
+  padding: 0.2em 0.5em;
+}
+
+/* Most direct children of .jp-RenderedHTMLCommon have a margin-bottom of 1.0.
+ * At the bottom of cells this is a bit too much as there is also spacing
+ * between cells. Going all the way to 0 gets too tight between markdown and
+ * code cells.
+ */
+.jp-RenderedHTMLCommon > *:last-child {
+  margin-bottom: 0.5em;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-cursor-backdrop {
+  position: fixed;
+  width: 200px;
+  height: 200px;
+  margin-top: -100px;
+  margin-left: -100px;
+  will-change: transform;
+  z-index: 100;
+}
+
+.lm-mod-drag-image {
+  will-change: transform;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-lineFormSearch {
+  padding: 4px 12px;
+  background-color: var(--jp-layout-color2);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  z-index: 2;
+  font-size: var(--jp-ui-font-size1);
+}
+
+.jp-lineFormCaption {
+  font-size: var(--jp-ui-font-size0);
+  line-height: var(--jp-ui-font-size1);
+  margin-top: 4px;
+  color: var(--jp-ui-font-color0);
+}
+
+.jp-baseLineForm {
+  border: none;
+  border-radius: 0;
+  position: absolute;
+  background-size: 16px;
+  background-repeat: no-repeat;
+  background-position: center;
+  outline: none;
+}
+
+.jp-lineFormButtonContainer {
+  top: 4px;
+  right: 8px;
+  height: 24px;
+  padding: 0 12px;
+  width: 12px;
+}
+
+.jp-lineFormButtonIcon {
+  top: 0;
+  right: 0;
+  background-color: var(--jp-brand-color1);
+  height: 100%;
+  width: 100%;
+  box-sizing: border-box;
+  padding: 4px 6px;
+}
+
+.jp-lineFormButton {
+  top: 0;
+  right: 0;
+  background-color: transparent;
+  height: 100%;
+  width: 100%;
+  box-sizing: border-box;
+}
+
+.jp-lineFormWrapper {
+  overflow: hidden;
+  padding: 0 8px;
+  border: 1px solid var(--jp-border-color0);
+  background-color: var(--jp-input-active-background);
+  height: 22px;
+}
+
+.jp-lineFormWrapperFocusWithin {
+  border: var(--jp-border-width) solid var(--md-blue-500);
+  box-shadow: inset 0 0 4px var(--md-blue-300);
+}
+
+.jp-lineFormInput {
+  background: transparent;
+  width: 200px;
+  height: 100%;
+  border: none;
+  outline: none;
+  color: var(--jp-ui-font-color0);
+  line-height: 28px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-JSONEditor {
+  display: flex;
+  flex-direction: column;
+  width: 100%;
+}
+
+.jp-JSONEditor-host {
+  flex: 1 1 auto;
+  border: var(--jp-border-width) solid var(--jp-input-border-color);
+  border-radius: 0;
+  background: var(--jp-layout-color0);
+  min-height: 50px;
+  padding: 1px;
+}
+
+.jp-JSONEditor.jp-mod-error .jp-JSONEditor-host {
+  border-color: red;
+  outline-color: red;
+}
+
+.jp-JSONEditor-header {
+  display: flex;
+  flex: 1 0 auto;
+  padding: 0 0 0 12px;
+}
+
+.jp-JSONEditor-header label {
+  flex: 0 0 auto;
+}
+
+.jp-JSONEditor-commitButton {
+  height: 16px;
+  width: 16px;
+  background-size: 18px;
+  background-repeat: no-repeat;
+  background-position: center;
+}
+
+.jp-JSONEditor-host.jp-mod-focused {
+  background-color: var(--jp-input-active-background);
+  border: 1px solid var(--jp-input-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+}
+
+.jp-Editor.jp-mod-dropTarget {
+  border: var(--jp-border-width) solid var(--jp-input-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+.jp-DocumentSearch-input {
+  border: none;
+  outline: none;
+  color: var(--jp-ui-font-color0);
+  font-size: var(--jp-ui-font-size1);
+  background-color: var(--jp-layout-color0);
+  font-family: var(--jp-ui-font-family);
+  padding: 2px 1px;
+  resize: none;
+}
+
+.jp-DocumentSearch-overlay {
+  position: absolute;
+  background-color: var(--jp-toolbar-background);
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  border-left: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  top: 0;
+  right: 0;
+  z-index: 7;
+  min-width: 405px;
+  padding: 2px;
+  font-size: var(--jp-ui-font-size1);
+
+  --jp-private-document-search-button-height: 20px;
+}
+
+.jp-DocumentSearch-overlay button {
+  background-color: var(--jp-toolbar-background);
+  outline: 0;
+}
+
+.jp-DocumentSearch-overlay button:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-overlay button:active {
+  background-color: var(--jp-layout-color3);
+}
+
+.jp-DocumentSearch-overlay-row {
+  display: flex;
+  align-items: center;
+  margin-bottom: 2px;
+}
+
+.jp-DocumentSearch-button-content {
+  display: inline-block;
+  cursor: pointer;
+  box-sizing: border-box;
+  width: 100%;
+  height: 100%;
+}
+
+.jp-DocumentSearch-button-content svg {
+  width: 100%;
+  height: 100%;
+}
+
+.jp-DocumentSearch-input-wrapper {
+  border: var(--jp-border-width) solid var(--jp-border-color0);
+  display: flex;
+  background-color: var(--jp-layout-color0);
+  margin: 2px;
+}
+
+.jp-DocumentSearch-input-wrapper:focus-within {
+  border-color: var(--jp-cell-editor-active-border-color);
+}
+
+.jp-DocumentSearch-toggle-wrapper,
+.jp-DocumentSearch-button-wrapper {
+  all: initial;
+  overflow: hidden;
+  display: inline-block;
+  border: none;
+  box-sizing: border-box;
+}
+
+.jp-DocumentSearch-toggle-wrapper {
+  width: 14px;
+  height: 14px;
+}
+
+.jp-DocumentSearch-button-wrapper {
+  width: var(--jp-private-document-search-button-height);
+  height: var(--jp-private-document-search-button-height);
+}
+
+.jp-DocumentSearch-toggle-wrapper:focus,
+.jp-DocumentSearch-button-wrapper:focus {
+  outline: var(--jp-border-width) solid
+    var(--jp-cell-editor-active-border-color);
+  outline-offset: -1px;
+}
+
+.jp-DocumentSearch-toggle-wrapper,
+.jp-DocumentSearch-button-wrapper,
+.jp-DocumentSearch-button-content:focus {
+  outline: none;
+}
+
+.jp-DocumentSearch-toggle-placeholder {
+  width: 5px;
+}
+
+.jp-DocumentSearch-input-button::before {
+  display: block;
+  padding-top: 100%;
+}
+
+.jp-DocumentSearch-input-button-off {
+  opacity: var(--jp-search-toggle-off-opacity);
+}
+
+.jp-DocumentSearch-input-button-off:hover {
+  opacity: var(--jp-search-toggle-hover-opacity);
+}
+
+.jp-DocumentSearch-input-button-on {
+  opacity: var(--jp-search-toggle-on-opacity);
+}
+
+.jp-DocumentSearch-index-counter {
+  padding-left: 10px;
+  padding-right: 10px;
+  user-select: none;
+  min-width: 35px;
+  display: inline-block;
+}
+
+.jp-DocumentSearch-up-down-wrapper {
+  display: inline-block;
+  padding-right: 2px;
+  margin-left: auto;
+  white-space: nowrap;
+}
+
+.jp-DocumentSearch-spacer {
+  margin-left: auto;
+}
+
+.jp-DocumentSearch-up-down-wrapper button {
+  outline: 0;
+  border: none;
+  width: var(--jp-private-document-search-button-height);
+  height: var(--jp-private-document-search-button-height);
+  vertical-align: middle;
+  margin: 1px 5px 2px;
+}
+
+.jp-DocumentSearch-up-down-button:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-up-down-button:active {
+  background-color: var(--jp-layout-color3);
+}
+
+.jp-DocumentSearch-filter-button {
+  border-radius: var(--jp-border-radius);
+}
+
+.jp-DocumentSearch-filter-button:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-filter-button-enabled {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-filter-button-enabled:hover {
+  background-color: var(--jp-layout-color3);
+}
+
+.jp-DocumentSearch-search-options {
+  padding: 0 8px;
+  margin-left: 3px;
+  width: 100%;
+  display: grid;
+  justify-content: start;
+  grid-template-columns: 1fr 1fr;
+  align-items: center;
+  justify-items: stretch;
+}
+
+.jp-DocumentSearch-search-filter-disabled {
+  color: var(--jp-ui-font-color2);
+}
+
+.jp-DocumentSearch-search-filter {
+  display: flex;
+  align-items: center;
+  user-select: none;
+}
+
+.jp-DocumentSearch-regex-error {
+  color: var(--jp-error-color0);
+}
+
+.jp-DocumentSearch-replace-button-wrapper {
+  overflow: hidden;
+  display: inline-block;
+  box-sizing: border-box;
+  border: var(--jp-border-width) solid var(--jp-border-color0);
+  margin: auto 2px;
+  padding: 1px 4px;
+  height: calc(var(--jp-private-document-search-button-height) + 2px);
+}
+
+.jp-DocumentSearch-replace-button-wrapper:focus {
+  border: var(--jp-border-width) solid var(--jp-cell-editor-active-border-color);
+}
+
+.jp-DocumentSearch-replace-button {
+  display: inline-block;
+  text-align: center;
+  cursor: pointer;
+  box-sizing: border-box;
+  color: var(--jp-ui-font-color1);
+
+  /* height - 2 * (padding of wrapper) */
+  line-height: calc(var(--jp-private-document-search-button-height) - 2px);
+  width: 100%;
+  height: 100%;
+}
+
+.jp-DocumentSearch-replace-button:focus {
+  outline: none;
+}
+
+.jp-DocumentSearch-replace-wrapper-class {
+  margin-left: 14px;
+  display: flex;
+}
+
+.jp-DocumentSearch-replace-toggle {
+  border: none;
+  background-color: var(--jp-toolbar-background);
+  border-radius: var(--jp-border-radius);
+}
+
+.jp-DocumentSearch-replace-toggle:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.cm-editor {
+  line-height: var(--jp-code-line-height);
+  font-size: var(--jp-code-font-size);
+  font-family: var(--jp-code-font-family);
+  border: 0;
+  border-radius: 0;
+  height: auto;
+
+  /* Changed to auto to autogrow */
+}
+
+.cm-editor pre {
+  padding: 0 var(--jp-code-padding);
+}
+
+.jp-CodeMirrorEditor[data-type='inline'] .cm-dialog {
+  background-color: var(--jp-layout-color0);
+  color: var(--jp-content-font-color1);
+}
+
+.jp-CodeMirrorEditor {
+  cursor: text;
+}
+
+/* When zoomed out 67% and 33% on a screen of 1440 width x 900 height */
+@media screen and (min-width: 2138px) and (max-width: 4319px) {
+  .jp-CodeMirrorEditor[data-type='inline'] .cm-cursor {
+    border-left: var(--jp-code-cursor-width1) solid
+      var(--jp-editor-cursor-color);
+  }
+}
+
+/* When zoomed out less than 33% */
+@media screen and (min-width: 4320px) {
+  .jp-CodeMirrorEditor[data-type='inline'] .cm-cursor {
+    border-left: var(--jp-code-cursor-width2) solid
+      var(--jp-editor-cursor-color);
+  }
+}
+
+.cm-editor.jp-mod-readOnly .cm-cursor {
+  display: none;
+}
+
+.jp-CollaboratorCursor {
+  border-left: 5px solid transparent;
+  border-right: 5px solid transparent;
+  border-top: none;
+  border-bottom: 3px solid;
+  background-clip: content-box;
+  margin-left: -5px;
+  margin-right: -5px;
+}
+
+.cm-searching,
+.cm-searching span {
+  /* `.cm-searching span`: we need to override syntax highlighting */
+  background-color: var(--jp-search-unselected-match-background-color);
+  color: var(--jp-search-unselected-match-color);
+}
+
+.cm-searching::selection,
+.cm-searching span::selection {
+  background-color: var(--jp-search-unselected-match-background-color);
+  color: var(--jp-search-unselected-match-color);
+}
+
+.jp-current-match > .cm-searching,
+.jp-current-match > .cm-searching span,
+.cm-searching > .jp-current-match,
+.cm-searching > .jp-current-match span {
+  background-color: var(--jp-search-selected-match-background-color);
+  color: var(--jp-search-selected-match-color);
+}
+
+.jp-current-match > .cm-searching::selection,
+.cm-searching > .jp-current-match::selection,
+.jp-current-match > .cm-searching span::selection {
+  background-color: var(--jp-search-selected-match-background-color);
+  color: var(--jp-search-selected-match-color);
+}
+
+.cm-trailingspace {
+  background-image: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAgAAAAFCAYAAAB4ka1VAAAAsElEQVQIHQGlAFr/AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA7+r3zKmT0/+pk9P/7+r3zAAAAAAAAAAABAAAAAAAAAAA6OPzM+/q9wAAAAAA6OPzMwAAAAAAAAAAAgAAAAAAAAAAGR8NiRQaCgAZIA0AGR8NiQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQyoYJ/SY80UAAAAASUVORK5CYII=);
+  background-position: center left;
+  background-repeat: repeat-x;
+}
+
+.jp-CollaboratorCursor-hover {
+  position: absolute;
+  z-index: 1;
+  transform: translateX(-50%);
+  color: white;
+  border-radius: 3px;
+  padding-left: 4px;
+  padding-right: 4px;
+  padding-top: 1px;
+  padding-bottom: 1px;
+  text-align: center;
+  font-size: var(--jp-ui-font-size1);
+  white-space: nowrap;
+}
+
+.jp-CodeMirror-ruler {
+  border-left: 1px dashed var(--jp-border-color2);
+}
+
+/* Styles for shared cursors (remote cursor locations and selected ranges) */
+.jp-CodeMirrorEditor .cm-ySelectionCaret {
+  position: relative;
+  border-left: 1px solid black;
+  margin-left: -1px;
+  margin-right: -1px;
+  box-sizing: border-box;
+}
+
+.jp-CodeMirrorEditor .cm-ySelectionCaret > .cm-ySelectionInfo {
+  white-space: nowrap;
+  position: absolute;
+  top: -1.15em;
+  padding-bottom: 0.05em;
+  left: -1px;
+  font-size: 0.95em;
+  font-family: var(--jp-ui-font-family);
+  font-weight: bold;
+  line-height: normal;
+  user-select: none;
+  color: white;
+  padding-left: 2px;
+  padding-right: 2px;
+  z-index: 101;
+  transition: opacity 0.3s ease-in-out;
+}
+
+.jp-CodeMirrorEditor .cm-ySelectionInfo {
+  transition-delay: 0.7s;
+  opacity: 0;
+}
+
+.jp-CodeMirrorEditor .cm-ySelectionCaret:hover > .cm-ySelectionInfo {
+  opacity: 1;
+  transition-delay: 0s;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-MimeDocument {
+  outline: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-filebrowser-button-height: 28px;
+  --jp-private-filebrowser-button-width: 48px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-FileBrowser .jp-SidePanel-content {
+  display: flex;
+  flex-direction: column;
+}
+
+.jp-FileBrowser-toolbar.jp-Toolbar {
+  flex-wrap: wrap;
+  row-gap: 12px;
+  border-bottom: none;
+  height: auto;
+  margin: 8px 12px 0;
+  box-shadow: none;
+  padding: 0;
+  justify-content: flex-start;
+}
+
+.jp-FileBrowser-Panel {
+  flex: 1 1 auto;
+  display: flex;
+  flex-direction: column;
+}
+
+.jp-BreadCrumbs {
+  flex: 0 0 auto;
+  margin: 8px 12px;
+}
+
+.jp-BreadCrumbs-item {
+  margin: 0 2px;
+  padding: 0 2px;
+  border-radius: var(--jp-border-radius);
+  cursor: pointer;
+}
+
+.jp-BreadCrumbs-item:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-BreadCrumbs-item:first-child {
+  margin-left: 0;
+}
+
+.jp-BreadCrumbs-item.jp-mod-dropTarget {
+  background-color: var(--jp-brand-color2);
+  opacity: 0.7;
+}
+
+/*-----------------------------------------------------------------------------
+| Buttons
+|----------------------------------------------------------------------------*/
+
+.jp-FileBrowser-toolbar > .jp-Toolbar-item {
+  flex: 0 0 auto;
+  padding-left: 0;
+  padding-right: 2px;
+  align-items: center;
+  height: unset;
+}
+
+.jp-FileBrowser-toolbar > .jp-Toolbar-item .jp-ToolbarButtonComponent {
+  width: 40px;
+}
+
+/*-----------------------------------------------------------------------------
+| Other styles
+|----------------------------------------------------------------------------*/
+
+.jp-FileDialog.jp-mod-conflict input {
+  color: var(--jp-error-color1);
+}
+
+.jp-FileDialog .jp-new-name-title {
+  margin-top: 12px;
+}
+
+.jp-LastModified-hidden {
+  display: none;
+}
+
+.jp-FileSize-hidden {
+  display: none;
+}
+
+.jp-FileBrowser .lm-AccordionPanel > h3:first-child {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| DirListing
+|----------------------------------------------------------------------------*/
+
+.jp-DirListing {
+  flex: 1 1 auto;
+  display: flex;
+  flex-direction: column;
+  outline: 0;
+}
+
+.jp-DirListing-header {
+  flex: 0 0 auto;
+  display: flex;
+  flex-direction: row;
+  align-items: center;
+  overflow: hidden;
+  border-top: var(--jp-border-width) solid var(--jp-border-color2);
+  border-bottom: var(--jp-border-width) solid var(--jp-border-color1);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  z-index: 2;
+}
+
+.jp-DirListing-headerItem {
+  padding: 4px 12px 2px;
+  font-weight: 500;
+}
+
+.jp-DirListing-headerItem:hover {
+  background: var(--jp-layout-color2);
+}
+
+.jp-DirListing-headerItem.jp-id-name {
+  flex: 1 0 84px;
+}
+
+.jp-DirListing-headerItem.jp-id-modified {
+  flex: 0 0 112px;
+  border-left: var(--jp-border-width) solid var(--jp-border-color2);
+  text-align: right;
+}
+
+.jp-DirListing-headerItem.jp-id-filesize {
+  flex: 0 0 75px;
+  border-left: var(--jp-border-width) solid var(--jp-border-color2);
+  text-align: right;
+}
+
+.jp-id-narrow {
+  display: none;
+  flex: 0 0 5px;
+  padding: 4px;
+  border-left: var(--jp-border-width) solid var(--jp-border-color2);
+  text-align: right;
+  color: var(--jp-border-color2);
+}
+
+.jp-DirListing-narrow .jp-id-narrow {
+  display: block;
+}
+
+.jp-DirListing-narrow .jp-id-modified,
+.jp-DirListing-narrow .jp-DirListing-itemModified {
+  display: none;
+}
+
+.jp-DirListing-headerItem.jp-mod-selected {
+  font-weight: 600;
+}
+
+/* increase specificity to override bundled default */
+.jp-DirListing-content {
+  flex: 1 1 auto;
+  margin: 0;
+  padding: 0;
+  list-style-type: none;
+  overflow: auto;
+  background-color: var(--jp-layout-color1);
+}
+
+.jp-DirListing-content mark {
+  color: var(--jp-ui-font-color0);
+  background-color: transparent;
+  font-weight: bold;
+}
+
+.jp-DirListing-content .jp-DirListing-item.jp-mod-selected mark {
+  color: var(--jp-ui-inverse-font-color0);
+}
+
+/* Style the directory listing content when a user drops a file to upload */
+.jp-DirListing.jp-mod-native-drop .jp-DirListing-content {
+  outline: 5px dashed rgba(128, 128, 128, 0.5);
+  outline-offset: -10px;
+  cursor: copy;
+}
+
+.jp-DirListing-item {
+  display: flex;
+  flex-direction: row;
+  align-items: center;
+  padding: 4px 12px;
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.jp-DirListing-checkboxWrapper {
+  /* Increases hit area of checkbox. */
+  padding: 4px;
+}
+
+.jp-DirListing-header
+  .jp-DirListing-checkboxWrapper
+  + .jp-DirListing-headerItem {
+  padding-left: 4px;
+}
+
+.jp-DirListing-content .jp-DirListing-checkboxWrapper {
+  position: relative;
+  left: -4px;
+  margin: -4px 0 -4px -8px;
+}
+
+.jp-DirListing-checkboxWrapper.jp-mod-visible {
+  visibility: visible;
+}
+
+/* For devices that support hovering, hide checkboxes until hovered, selected...
+*/
+@media (hover: hover) {
+  .jp-DirListing-checkboxWrapper {
+    visibility: hidden;
+  }
+
+  .jp-DirListing-item:hover .jp-DirListing-checkboxWrapper,
+  .jp-DirListing-item.jp-mod-selected .jp-DirListing-checkboxWrapper {
+    visibility: visible;
+  }
+}
+
+.jp-DirListing-item[data-is-dot] {
+  opacity: 75%;
+}
+
+.jp-DirListing-item.jp-mod-selected {
+  color: var(--jp-ui-inverse-font-color1);
+  background: var(--jp-brand-color1);
+}
+
+.jp-DirListing-item.jp-mod-dropTarget {
+  background: var(--jp-brand-color3);
+}
+
+.jp-DirListing-item:hover:not(.jp-mod-selected) {
+  background: var(--jp-layout-color2);
+}
+
+.jp-DirListing-itemIcon {
+  flex: 0 0 20px;
+  margin-right: 4px;
+}
+
+.jp-DirListing-itemText {
+  flex: 1 0 64px;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+  user-select: none;
+}
+
+.jp-DirListing-itemText:focus {
+  outline-width: 2px;
+  outline-color: var(--jp-inverse-layout-color1);
+  outline-style: solid;
+  outline-offset: 1px;
+}
+
+.jp-DirListing-item.jp-mod-selected .jp-DirListing-itemText:focus {
+  outline-color: var(--jp-layout-color1);
+}
+
+.jp-DirListing-itemModified {
+  flex: 0 0 125px;
+  text-align: right;
+}
+
+.jp-DirListing-itemFileSize {
+  flex: 0 0 90px;
+  text-align: right;
+}
+
+.jp-DirListing-editor {
+  flex: 1 0 64px;
+  outline: none;
+  border: none;
+  color: var(--jp-ui-font-color1);
+  background-color: var(--jp-layout-color1);
+}
+
+.jp-DirListing-item.jp-mod-running .jp-DirListing-itemIcon::before {
+  color: var(--jp-success-color1);
+  content: '\25CF';
+  font-size: 8px;
+  position: absolute;
+  left: -8px;
+}
+
+.jp-DirListing-item.jp-mod-running.jp-mod-selected
+  .jp-DirListing-itemIcon::before {
+  color: var(--jp-ui-inverse-font-color1);
+}
+
+.jp-DirListing-item.lm-mod-drag-image,
+.jp-DirListing-item.jp-mod-selected.lm-mod-drag-image {
+  font-size: var(--jp-ui-font-size1);
+  padding-left: 4px;
+  margin-left: 4px;
+  width: 160px;
+  background-color: var(--jp-ui-inverse-font-color2);
+  box-shadow: var(--jp-elevation-z2);
+  border-radius: 0;
+  color: var(--jp-ui-font-color1);
+  transform: translateX(-40%) translateY(-58%);
+}
+
+.jp-Document {
+  min-width: 120px;
+  min-height: 120px;
+  outline: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Main OutputArea
+| OutputArea has a list of Outputs
+|----------------------------------------------------------------------------*/
+
+.jp-OutputArea {
+  overflow-y: auto;
+}
+
+.jp-OutputArea-child {
+  display: table;
+  table-layout: fixed;
+  width: 100%;
+  overflow: hidden;
+}
+
+.jp-OutputPrompt {
+  width: var(--jp-cell-prompt-width);
+  color: var(--jp-cell-outprompt-font-color);
+  font-family: var(--jp-cell-prompt-font-family);
+  padding: var(--jp-code-padding);
+  letter-spacing: var(--jp-cell-prompt-letter-spacing);
+  line-height: var(--jp-code-line-height);
+  font-size: var(--jp-code-font-size);
+  border: var(--jp-border-width) solid transparent;
+  opacity: var(--jp-cell-prompt-opacity);
+
+  /* Right align prompt text, don't wrap to handle large prompt numbers */
+  text-align: right;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+
+  /* Disable text selection */
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.jp-OutputArea-prompt {
+  display: table-cell;
+  vertical-align: top;
+}
+
+.jp-OutputArea-output {
+  display: table-cell;
+  width: 100%;
+  height: auto;
+  overflow: auto;
+  user-select: text;
+  -moz-user-select: text;
+  -webkit-user-select: text;
+  -ms-user-select: text;
+}
+
+.jp-OutputArea .jp-RenderedText {
+  padding-left: 1ch;
+}
+
+/**
+ * Prompt overlay.
+ */
+
+.jp-OutputArea-promptOverlay {
+  position: absolute;
+  top: 0;
+  width: var(--jp-cell-prompt-width);
+  height: 100%;
+  opacity: 0.5;
+}
+
+.jp-OutputArea-promptOverlay:hover {
+  background: var(--jp-layout-color2);
+  box-shadow: inset 0 0 1px var(--jp-inverse-layout-color0);
+  cursor: zoom-out;
+}
+
+.jp-mod-outputsScrolled .jp-OutputArea-promptOverlay:hover {
+  cursor: zoom-in;
+}
+
+/**
+ * Isolated output.
+ */
+.jp-OutputArea-output.jp-mod-isolated {
+  width: 100%;
+  display: block;
+}
+
+/*
+When drag events occur, `lm-mod-override-cursor` is added to the body.
+Because iframes steal all cursor events, the following two rules are necessary
+to suppress pointer events while resize drags are occurring. There may be a
+better solution to this problem.
+*/
+body.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated {
+  position: relative;
+}
+
+body.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated::before {
+  content: '';
+  position: absolute;
+  top: 0;
+  left: 0;
+  right: 0;
+  bottom: 0;
+  background: transparent;
+}
+
+/* pre */
+
+.jp-OutputArea-output pre {
+  border: none;
+  margin: 0;
+  padding: 0;
+  overflow-x: auto;
+  overflow-y: auto;
+  word-break: break-all;
+  word-wrap: break-word;
+  white-space: pre-wrap;
+}
+
+/* tables */
+
+.jp-OutputArea-output.jp-RenderedHTMLCommon table {
+  margin-left: 0;
+  margin-right: 0;
+}
+
+/* description lists */
+
+.jp-OutputArea-output dl,
+.jp-OutputArea-output dt,
+.jp-OutputArea-output dd {
+  display: block;
+}
+
+.jp-OutputArea-output dl {
+  width: 100%;
+  overflow: hidden;
+  padding: 0;
+  margin: 0;
+}
+
+.jp-OutputArea-output dt {
+  font-weight: bold;
+  float: left;
+  width: 20%;
+  padding: 0;
+  margin: 0;
+}
+
+.jp-OutputArea-output dd {
+  float: left;
+  width: 80%;
+  padding: 0;
+  margin: 0;
+}
+
+.jp-TrimmedOutputs pre {
+  background: var(--jp-layout-color3);
+  font-size: calc(var(--jp-code-font-size) * 1.4);
+  text-align: center;
+  text-transform: uppercase;
+}
+
+/* Hide the gutter in case of
+ *  - nested output areas (e.g. in the case of output widgets)
+ *  - mirrored output areas
+ */
+.jp-OutputArea .jp-OutputArea .jp-OutputArea-prompt {
+  display: none;
+}
+
+/* Hide empty lines in the output area, for instance due to cleared widgets */
+.jp-OutputArea-prompt:empty {
+  padding: 0;
+  border: 0;
+}
+
+/*-----------------------------------------------------------------------------
+| executeResult is added to any Output-result for the display of the object
+| returned by a cell
+|----------------------------------------------------------------------------*/
+
+.jp-OutputArea-output.jp-OutputArea-executeResult {
+  margin-left: 0;
+  width: 100%;
+}
+
+/* Text output with the Out[] prompt needs a top padding to match the
+ * alignment of the Out[] prompt itself.
+ */
+.jp-OutputArea-executeResult .jp-RenderedText.jp-OutputArea-output {
+  padding-top: var(--jp-code-padding);
+  border-top: var(--jp-border-width) solid transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| The Stdin output
+|----------------------------------------------------------------------------*/
+
+.jp-Stdin-prompt {
+  color: var(--jp-content-font-color0);
+  padding-right: var(--jp-code-padding);
+  vertical-align: baseline;
+  flex: 0 0 auto;
+}
+
+.jp-Stdin-input {
+  font-family: var(--jp-code-font-family);
+  font-size: inherit;
+  color: inherit;
+  background-color: inherit;
+  width: 42%;
+  min-width: 200px;
+
+  /* make sure input baseline aligns with prompt */
+  vertical-align: baseline;
+
+  /* padding + margin = 0.5em between prompt and cursor */
+  padding: 0 0.25em;
+  margin: 0 0.25em;
+  flex: 0 0 70%;
+}
+
+.jp-Stdin-input::placeholder {
+  opacity: 0;
+}
+
+.jp-Stdin-input:focus {
+  box-shadow: none;
+}
+
+.jp-Stdin-input:focus::placeholder {
+  opacity: 1;
+}
+
+/*-----------------------------------------------------------------------------
+| Output Area View
+|----------------------------------------------------------------------------*/
+
+.jp-LinkedOutputView .jp-OutputArea {
+  height: 100%;
+  display: block;
+}
+
+.jp-LinkedOutputView .jp-OutputArea-output:only-child {
+  height: 100%;
+}
+
+/*-----------------------------------------------------------------------------
+| Printing
+|----------------------------------------------------------------------------*/
+
+@media print {
+  .jp-OutputArea-child {
+    break-inside: avoid-page;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Mobile
+|----------------------------------------------------------------------------*/
+@media only screen and (max-width: 760px) {
+  .jp-OutputPrompt {
+    display: table-row;
+    text-align: left;
+  }
+
+  .jp-OutputArea-child .jp-OutputArea-output {
+    display: table-row;
+    margin-left: var(--jp-notebook-padding);
+  }
+}
+
+/* Trimmed outputs warning */
+.jp-TrimmedOutputs > a {
+  margin: 10px;
+  text-decoration: none;
+  cursor: pointer;
+}
+
+.jp-TrimmedOutputs > a:hover {
+  text-decoration: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Table of Contents
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-toc-active-width: 4px;
+}
+
+.jp-TableOfContents {
+  display: flex;
+  flex-direction: column;
+  background: var(--jp-layout-color1);
+  color: var(--jp-ui-font-color1);
+  font-size: var(--jp-ui-font-size1);
+  height: 100%;
+}
+
+.jp-TableOfContents-placeholder {
+  text-align: center;
+}
+
+.jp-TableOfContents-placeholderContent {
+  color: var(--jp-content-font-color2);
+  padding: 8px;
+}
+
+.jp-TableOfContents-placeholderContent > h3 {
+  margin-bottom: var(--jp-content-heading-margin-bottom);
+}
+
+.jp-TableOfContents .jp-SidePanel-content {
+  overflow-y: auto;
+}
+
+.jp-TableOfContents-tree {
+  margin: 4px;
+}
+
+.jp-TableOfContents ol {
+  list-style-type: none;
+}
+
+/* stylelint-disable-next-line selector-max-type */
+.jp-TableOfContents li > ol {
+  /* Align left border with triangle icon center */
+  padding-left: 11px;
+}
+
+.jp-TableOfContents-content {
+  /* left margin for the active heading indicator */
+  margin: 0 0 0 var(--jp-private-toc-active-width);
+  padding: 0;
+  background-color: var(--jp-layout-color1);
+}
+
+.jp-tocItem {
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+.jp-tocItem-heading {
+  display: flex;
+  cursor: pointer;
+}
+
+.jp-tocItem-heading:hover {
+  background-color: var(--jp-layout-color2);
+}
+
+.jp-tocItem-content {
+  display: block;
+  padding: 4px 0;
+  white-space: nowrap;
+  text-overflow: ellipsis;
+  overflow-x: hidden;
+}
+
+.jp-tocItem-collapser {
+  height: 20px;
+  margin: 2px 2px 0;
+  padding: 0;
+  background: none;
+  border: none;
+  cursor: pointer;
+}
+
+.jp-tocItem-collapser:hover {
+  background-color: var(--jp-layout-color3);
+}
+
+/* Active heading indicator */
+
+.jp-tocItem-heading::before {
+  content: ' ';
+  background: transparent;
+  width: var(--jp-private-toc-active-width);
+  height: 24px;
+  position: absolute;
+  left: 0;
+  border-radius: var(--jp-border-radius);
+}
+
+.jp-tocItem-heading.jp-tocItem-active::before {
+  background-color: var(--jp-brand-color1);
+}
+
+.jp-tocItem-heading:hover.jp-tocItem-active::before {
+  background: var(--jp-brand-color0);
+  opacity: 1;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Collapser {
+  flex: 0 0 var(--jp-cell-collapser-width);
+  padding: 0;
+  margin: 0;
+  border: none;
+  outline: none;
+  background: transparent;
+  border-radius: var(--jp-border-radius);
+  opacity: 1;
+}
+
+.jp-Collapser-child {
+  display: block;
+  width: 100%;
+  box-sizing: border-box;
+
+  /* height: 100% doesn't work because the height of its parent is computed from content */
+  position: absolute;
+  top: 0;
+  bottom: 0;
+}
+
+/*-----------------------------------------------------------------------------
+| Printing
+|----------------------------------------------------------------------------*/
+
+/*
+Hiding collapsers in print mode.
+
+Note: input and output wrappers have "display: block" propery in print mode.
+*/
+
+@media print {
+  .jp-Collapser {
+    display: none;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Header/Footer
+|----------------------------------------------------------------------------*/
+
+/* Hidden by zero height by default */
+.jp-CellHeader,
+.jp-CellFooter {
+  height: 0;
+  width: 100%;
+  padding: 0;
+  margin: 0;
+  border: none;
+  outline: none;
+  background: transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Input
+|----------------------------------------------------------------------------*/
+
+/* All input areas */
+.jp-InputArea {
+  display: table;
+  table-layout: fixed;
+  width: 100%;
+  overflow: hidden;
+}
+
+.jp-InputArea-editor {
+  display: table-cell;
+  overflow: hidden;
+  vertical-align: top;
+
+  /* This is the non-active, default styling */
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  border-radius: 0;
+  background: var(--jp-cell-editor-background);
+}
+
+.jp-InputPrompt {
+  display: table-cell;
+  vertical-align: top;
+  width: var(--jp-cell-prompt-width);
+  color: var(--jp-cell-inprompt-font-color);
+  font-family: var(--jp-cell-prompt-font-family);
+  padding: var(--jp-code-padding);
+  letter-spacing: var(--jp-cell-prompt-letter-spacing);
+  opacity: var(--jp-cell-prompt-opacity);
+  line-height: var(--jp-code-line-height);
+  font-size: var(--jp-code-font-size);
+  border: var(--jp-border-width) solid transparent;
+
+  /* Right align prompt text, don't wrap to handle large prompt numbers */
+  text-align: right;
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+
+  /* Disable text selection */
+  -webkit-user-select: none;
+  -moz-user-select: none;
+  -ms-user-select: none;
+  user-select: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Mobile
+|----------------------------------------------------------------------------*/
+@media only screen and (max-width: 760px) {
+  .jp-InputArea-editor {
+    display: table-row;
+    margin-left: var(--jp-notebook-padding);
+  }
+
+  .jp-InputPrompt {
+    display: table-row;
+    text-align: left;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Placeholder
+|----------------------------------------------------------------------------*/
+
+.jp-Placeholder {
+  display: table;
+  table-layout: fixed;
+  width: 100%;
+}
+
+.jp-Placeholder-prompt {
+  display: table-cell;
+  box-sizing: border-box;
+}
+
+.jp-Placeholder-content {
+  display: table-cell;
+  padding: 4px 6px;
+  border: 1px solid transparent;
+  border-radius: 0;
+  background: none;
+  box-sizing: border-box;
+  cursor: pointer;
+}
+
+.jp-Placeholder-contentContainer {
+  display: flex;
+}
+
+.jp-Placeholder-content:hover,
+.jp-InputPlaceholder > .jp-Placeholder-content:hover {
+  border-color: var(--jp-layout-color3);
+}
+
+.jp-Placeholder-content .jp-MoreHorizIcon {
+  width: 32px;
+  height: 16px;
+  border: 1px solid transparent;
+  border-radius: var(--jp-border-radius);
+}
+
+.jp-Placeholder-content .jp-MoreHorizIcon:hover {
+  border: 1px solid var(--jp-border-color1);
+  box-shadow: 0 0 2px 0 rgba(0, 0, 0, 0.25);
+  background-color: var(--jp-layout-color0);
+}
+
+.jp-PlaceholderText {
+  white-space: nowrap;
+  overflow-x: hidden;
+  color: var(--jp-inverse-layout-color3);
+  font-family: var(--jp-code-font-family);
+}
+
+.jp-InputPlaceholder > .jp-Placeholder-content {
+  border-color: var(--jp-cell-editor-border-color);
+  background: var(--jp-cell-editor-background);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Private CSS variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-private-cell-scrolling-output-offset: 5px;
+}
+
+/*-----------------------------------------------------------------------------
+| Cell
+|----------------------------------------------------------------------------*/
+
+.jp-Cell {
+  padding: var(--jp-cell-padding);
+  margin: 0;
+  border: none;
+  outline: none;
+  background: transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| Common input/output
+|----------------------------------------------------------------------------*/
+
+.jp-Cell-inputWrapper,
+.jp-Cell-outputWrapper {
+  display: flex;
+  flex-direction: row;
+  padding: 0;
+  margin: 0;
+
+  /* Added to reveal the box-shadow on the input and output collapsers. */
+  overflow: visible;
+}
+
+/* Only input/output areas inside cells */
+.jp-Cell-inputArea,
+.jp-Cell-outputArea {
+  flex: 1 1 auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Collapser
+|----------------------------------------------------------------------------*/
+
+/* Make the output collapser disappear when there is not output, but do so
+ * in a manner that leaves it in the layout and preserves its width.
+ */
+.jp-Cell.jp-mod-noOutputs .jp-Cell-outputCollapser {
+  border: none !important;
+  background: transparent !important;
+}
+
+.jp-Cell:not(.jp-mod-noOutputs) .jp-Cell-outputCollapser {
+  min-height: var(--jp-cell-collapser-min-height);
+}
+
+/*-----------------------------------------------------------------------------
+| Output
+|----------------------------------------------------------------------------*/
+
+/* Put a space between input and output when there IS output */
+.jp-Cell:not(.jp-mod-noOutputs) .jp-Cell-outputWrapper {
+  margin-top: 5px;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea {
+  overflow-y: auto;
+  max-height: 24em;
+  margin-left: var(--jp-private-cell-scrolling-output-offset);
+  resize: vertical;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea[style*='height'] {
+  max-height: unset;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea::after {
+  content: ' ';
+  box-shadow: inset 0 0 6px 2px rgb(0 0 0 / 30%);
+  width: 100%;
+  height: 100%;
+  position: sticky;
+  bottom: 0;
+  top: 0;
+  margin-top: -50%;
+  float: left;
+  display: block;
+  pointer-events: none;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-child {
+  padding-top: 6px;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-prompt {
+  width: calc(
+    var(--jp-cell-prompt-width) - var(--jp-private-cell-scrolling-output-offset)
+  );
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-promptOverlay {
+  left: calc(-1 * var(--jp-private-cell-scrolling-output-offset));
+}
+
+/*-----------------------------------------------------------------------------
+| CodeCell
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| MarkdownCell
+|----------------------------------------------------------------------------*/
+
+.jp-MarkdownOutput {
+  display: table-cell;
+  width: 100%;
+  margin-top: 0;
+  margin-bottom: 0;
+  padding-left: var(--jp-code-padding);
+}
+
+.jp-MarkdownOutput.jp-RenderedHTMLCommon {
+  overflow: auto;
+}
+
+/* collapseHeadingButton (show always if hiddenCellsButton is _not_ shown) */
+.jp-collapseHeadingButton {
+  display: flex;
+  min-height: var(--jp-cell-collapser-min-height);
+  font-size: var(--jp-code-font-size);
+  position: absolute;
+  background-color: transparent;
+  background-size: 25px;
+  background-repeat: no-repeat;
+  background-position-x: center;
+  background-position-y: top;
+  background-image: var(--jp-icon-caret-down);
+  right: 0;
+  top: 0;
+  bottom: 0;
+}
+
+.jp-collapseHeadingButton.jp-mod-collapsed {
+  background-image: var(--jp-icon-caret-right);
+}
+
+/*
+ set the container font size to match that of content
+ so that the nested collapse buttons have the right size
+*/
+.jp-MarkdownCell .jp-InputPrompt {
+  font-size: var(--jp-content-font-size1);
+}
+
+/*
+  Align collapseHeadingButton with cell top header
+  The font sizes are identical to the ones in packages/rendermime/style/base.css
+*/
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='1'] {
+  font-size: var(--jp-content-font-size5);
+  background-position-y: calc(0.3 * var(--jp-content-font-size5));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='2'] {
+  font-size: var(--jp-content-font-size4);
+  background-position-y: calc(0.3 * var(--jp-content-font-size4));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='3'] {
+  font-size: var(--jp-content-font-size3);
+  background-position-y: calc(0.3 * var(--jp-content-font-size3));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='4'] {
+  font-size: var(--jp-content-font-size2);
+  background-position-y: calc(0.3 * var(--jp-content-font-size2));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='5'] {
+  font-size: var(--jp-content-font-size1);
+  background-position-y: top;
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='6'] {
+  font-size: var(--jp-content-font-size0);
+  background-position-y: top;
+}
+
+/* collapseHeadingButton (show only on (hover,active) if hiddenCellsButton is shown) */
+.jp-Notebook.jp-mod-showHiddenCellsButton .jp-collapseHeadingButton {
+  display: none;
+}
+
+.jp-Notebook.jp-mod-showHiddenCellsButton
+  :is(.jp-MarkdownCell:hover, .jp-mod-active)
+  .jp-collapseHeadingButton {
+  display: flex;
+}
+
+/* showHiddenCellsButton (only show if jp-mod-showHiddenCellsButton is set, which
+is a consequence of the showHiddenCellsButton option in Notebook Settings)*/
+.jp-Notebook.jp-mod-showHiddenCellsButton .jp-showHiddenCellsButton {
+  margin-left: calc(var(--jp-cell-prompt-width) + 2 * var(--jp-code-padding));
+  margin-top: var(--jp-code-padding);
+  border: 1px solid var(--jp-border-color2);
+  background-color: var(--jp-border-color3) !important;
+  color: var(--jp-content-font-color0) !important;
+  display: flex;
+}
+
+.jp-Notebook.jp-mod-showHiddenCellsButton .jp-showHiddenCellsButton:hover {
+  background-color: var(--jp-border-color2) !important;
+}
+
+.jp-showHiddenCellsButton {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Printing
+|----------------------------------------------------------------------------*/
+
+/*
+Using block instead of flex to allow the use of the break-inside CSS property for
+cell outputs.
+*/
+
+@media print {
+  .jp-Cell-inputWrapper,
+  .jp-Cell-outputWrapper {
+    display: block;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-notebook-toolbar-padding: 2px 5px 2px 2px;
+}
+
+/*-----------------------------------------------------------------------------
+
+/*-----------------------------------------------------------------------------
+| Styles
+|----------------------------------------------------------------------------*/
+
+.jp-NotebookPanel-toolbar {
+  padding: var(--jp-notebook-toolbar-padding);
+
+  /* disable paint containment from lumino 2.0 default strict CSS containment */
+  contain: style size !important;
+}
+
+.jp-Toolbar-item.jp-Notebook-toolbarCellType .jp-select-wrapper.jp-mod-focused {
+  border: none;
+  box-shadow: none;
+}
+
+.jp-Notebook-toolbarCellTypeDropdown select {
+  height: 24px;
+  font-size: var(--jp-ui-font-size1);
+  line-height: 14px;
+  border-radius: 0;
+  display: block;
+}
+
+.jp-Notebook-toolbarCellTypeDropdown span {
+  top: 5px !important;
+}
+
+.jp-Toolbar-responsive-popup {
+  position: absolute;
+  height: fit-content;
+  display: flex;
+  flex-direction: row;
+  flex-wrap: wrap;
+  justify-content: flex-end;
+  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+  box-shadow: var(--jp-toolbar-box-shadow);
+  background: var(--jp-toolbar-background);
+  min-height: var(--jp-toolbar-micro-height);
+  padding: var(--jp-notebook-toolbar-padding);
+  z-index: 1;
+  right: 0;
+  top: 0;
+}
+
+.jp-Toolbar > .jp-Toolbar-responsive-opener {
+  margin-left: auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+
+/*-----------------------------------------------------------------------------
+| Styles
+|----------------------------------------------------------------------------*/
+
+.jp-Notebook-ExecutionIndicator {
+  position: relative;
+  display: inline-block;
+  height: 100%;
+  z-index: 9997;
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip {
+  visibility: hidden;
+  height: auto;
+  width: max-content;
+  width: -moz-max-content;
+  background-color: var(--jp-layout-color2);
+  color: var(--jp-ui-font-color1);
+  text-align: justify;
+  border-radius: 6px;
+  padding: 0 5px;
+  position: fixed;
+  display: table;
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip.up {
+  transform: translateX(-50%) translateY(-100%) translateY(-32px);
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip.down {
+  transform: translateX(calc(-100% + 16px)) translateY(5px);
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip.hidden {
+  display: none;
+}
+
+.jp-Notebook-ExecutionIndicator:hover .jp-Notebook-ExecutionIndicator-tooltip {
+  visibility: visible;
+}
+
+.jp-Notebook-ExecutionIndicator span {
+  font-size: var(--jp-ui-font-size1);
+  font-family: var(--jp-ui-font-family);
+  color: var(--jp-ui-font-color1);
+  line-height: 24px;
+  display: block;
+}
+
+.jp-Notebook-ExecutionIndicator-progress-bar {
+  display: flex;
+  justify-content: center;
+  height: 100%;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*
+ * Execution indicator
+ */
+.jp-tocItem-content::after {
+  content: '';
+
+  /* Must be identical to form a circle */
+  width: 12px;
+  height: 12px;
+  background: none;
+  border: none;
+  position: absolute;
+  right: 0;
+}
+
+.jp-tocItem-content[data-running='0']::after {
+  border-radius: 50%;
+  border: var(--jp-border-width) solid var(--jp-inverse-layout-color3);
+  background: none;
+}
+
+.jp-tocItem-content[data-running='1']::after {
+  border-radius: 50%;
+  border: var(--jp-border-width) solid var(--jp-inverse-layout-color3);
+  background-color: var(--jp-inverse-layout-color3);
+}
+
+.jp-tocItem-content[data-running='0'],
+.jp-tocItem-content[data-running='1'] {
+  margin-right: 12px;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-Notebook-footer {
+  height: 27px;
+  margin-left: calc(
+    var(--jp-cell-prompt-width) + var(--jp-cell-collapser-width) +
+      var(--jp-cell-padding)
+  );
+  width: calc(
+    100% -
+      (
+        var(--jp-cell-prompt-width) + var(--jp-cell-collapser-width) +
+          var(--jp-cell-padding) + var(--jp-cell-padding)
+      )
+  );
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  color: var(--jp-ui-font-color3);
+  margin-top: 6px;
+  background: none;
+  cursor: pointer;
+}
+
+.jp-Notebook-footer:focus {
+  border-color: var(--jp-cell-editor-active-border-color);
+}
+
+/* For devices that support hovering, hide footer until hover */
+@media (hover: hover) {
+  .jp-Notebook-footer {
+    opacity: 0;
+  }
+
+  .jp-Notebook-footer:focus,
+  .jp-Notebook-footer:hover {
+    opacity: 1;
+  }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Imports
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| CSS variables
+|----------------------------------------------------------------------------*/
+
+:root {
+  --jp-side-by-side-output-size: 1fr;
+  --jp-side-by-side-resized-cell: var(--jp-side-by-side-output-size);
+  --jp-private-notebook-dragImage-width: 304px;
+  --jp-private-notebook-dragImage-height: 36px;
+  --jp-private-notebook-selected-color: var(--md-blue-400);
+  --jp-private-notebook-active-color: var(--md-green-400);
+}
+
+/*-----------------------------------------------------------------------------
+| Notebook
+|----------------------------------------------------------------------------*/
+
+/* stylelint-disable selector-max-class */
+
+.jp-NotebookPanel {
+  display: block;
+  height: 100%;
+}
+
+.jp-NotebookPanel.jp-Document {
+  min-width: 240px;
+  min-height: 120px;
+}
+
+.jp-Notebook {
+  padding: var(--jp-notebook-padding);
+  outline: none;
+  overflow: auto;
+  background: var(--jp-layout-color0);
+}
+
+.jp-Notebook.jp-mod-scrollPastEnd::after {
+  display: block;
+  content: '';
+  min-height: var(--jp-notebook-scroll-padding);
+}
+
+.jp-MainAreaWidget-ContainStrict .jp-Notebook * {
+  contain: strict;
+}
+
+.jp-Notebook .jp-Cell {
+  overflow: visible;
+}
+
+.jp-Notebook .jp-Cell .jp-InputPrompt {
+  cursor: move;
+}
+
+/*-----------------------------------------------------------------------------
+| Notebook state related styling
+|
+| The notebook and cells each have states, here are the possibilities:
+|
+| - Notebook
+|   - Command
+|   - Edit
+| - Cell
+|   - None
+|   - Active (only one can be active)
+|   - Selected (the cells actions are applied to)
+|   - Multiselected (when multiple selected, the cursor)
+|   - No outputs
+|----------------------------------------------------------------------------*/
+
+/* Command or edit modes */
+
+.jp-Notebook .jp-Cell:not(.jp-mod-active) .jp-InputPrompt {
+  opacity: var(--jp-cell-prompt-not-active-opacity);
+  color: var(--jp-cell-prompt-not-active-font-color);
+}
+
+.jp-Notebook .jp-Cell:not(.jp-mod-active) .jp-OutputPrompt {
+  opacity: var(--jp-cell-prompt-not-active-opacity);
+  color: var(--jp-cell-prompt-not-active-font-color);
+}
+
+/* cell is active */
+.jp-Notebook .jp-Cell.jp-mod-active .jp-Collapser {
+  background: var(--jp-brand-color1);
+}
+
+/* cell is dirty */
+.jp-Notebook .jp-Cell.jp-mod-dirty .jp-InputPrompt {
+  color: var(--jp-warn-color1);
+}
+
+.jp-Notebook .jp-Cell.jp-mod-dirty .jp-InputPrompt::before {
+  color: var(--jp-warn-color1);
+  content: '•';
+}
+
+.jp-Notebook .jp-Cell.jp-mod-active.jp-mod-dirty .jp-Collapser {
+  background: var(--jp-warn-color1);
+}
+
+/* collapser is hovered */
+.jp-Notebook .jp-Cell .jp-Collapser:hover {
+  box-shadow: var(--jp-elevation-z2);
+  background: var(--jp-brand-color1);
+  opacity: var(--jp-cell-collapser-not-active-hover-opacity);
+}
+
+/* cell is active and collapser is hovered */
+.jp-Notebook .jp-Cell.jp-mod-active .jp-Collapser:hover {
+  background: var(--jp-brand-color0);
+  opacity: 1;
+}
+
+/* Command mode */
+
+.jp-Notebook.jp-mod-commandMode .jp-Cell.jp-mod-selected {
+  background: var(--jp-notebook-multiselected-color);
+}
+
+.jp-Notebook.jp-mod-commandMode
+  .jp-Cell.jp-mod-active.jp-mod-selected:not(.jp-mod-multiSelected) {
+  background: transparent;
+}
+
+/* Edit mode */
+
+.jp-Notebook.jp-mod-editMode .jp-Cell.jp-mod-active .jp-InputArea-editor {
+  border: var(--jp-border-width) solid var(--jp-cell-editor-active-border-color);
+  box-shadow: var(--jp-input-box-shadow);
+  background-color: var(--jp-cell-editor-active-background);
+}
+
+/*-----------------------------------------------------------------------------
+| Notebook drag and drop
+|----------------------------------------------------------------------------*/
+
+.jp-Notebook-cell.jp-mod-dropSource {
+  opacity: 0.5;
+}
+
+.jp-Notebook-cell.jp-mod-dropTarget,
+.jp-Notebook.jp-mod-commandMode
+  .jp-Notebook-cell.jp-mod-active.jp-mod-selected.jp-mod-dropTarget {
+  border-top-color: var(--jp-private-notebook-selected-color);
+  border-top-style: solid;
+  border-top-width: 2px;
+}
+
+.jp-dragImage {
+  display: block;
+  flex-direction: row;
+  width: var(--jp-private-notebook-dragImage-width);
+  height: var(--jp-private-notebook-dragImage-height);
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  background: var(--jp-cell-editor-background);
+  overflow: visible;
+}
+
+.jp-dragImage-singlePrompt {
+  box-shadow: 2px 2px 4px 0 rgba(0, 0, 0, 0.12);
+}
+
+.jp-dragImage .jp-dragImage-content {
+  flex: 1 1 auto;
+  z-index: 2;
+  font-size: var(--jp-code-font-size);
+  font-family: var(--jp-code-font-family);
+  line-height: var(--jp-code-line-height);
+  padding: var(--jp-code-padding);
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  background: var(--jp-cell-editor-background-color);
+  color: var(--jp-content-font-color3);
+  text-align: left;
+  margin: 4px 4px 4px 0;
+}
+
+.jp-dragImage .jp-dragImage-prompt {
+  flex: 0 0 auto;
+  min-width: 36px;
+  color: var(--jp-cell-inprompt-font-color);
+  padding: var(--jp-code-padding);
+  padding-left: 12px;
+  font-family: var(--jp-cell-prompt-font-family);
+  letter-spacing: var(--jp-cell-prompt-letter-spacing);
+  line-height: 1.9;
+  font-size: var(--jp-code-font-size);
+  border: var(--jp-border-width) solid transparent;
+}
+
+.jp-dragImage-multipleBack {
+  z-index: -1;
+  position: absolute;
+  height: 32px;
+  width: 300px;
+  top: 8px;
+  left: 8px;
+  background: var(--jp-layout-color2);
+  border: var(--jp-border-width) solid var(--jp-input-border-color);
+  box-shadow: 2px 2px 4px 0 rgba(0, 0, 0, 0.12);
+}
+
+/*-----------------------------------------------------------------------------
+| Cell toolbar
+|----------------------------------------------------------------------------*/
+
+.jp-NotebookTools {
+  display: block;
+  min-width: var(--jp-sidebar-min-width);
+  color: var(--jp-ui-font-color1);
+  background: var(--jp-layout-color1);
+
+  /* This is needed so that all font sizing of children done in ems is
+    * relative to this base size */
+  font-size: var(--jp-ui-font-size1);
+  overflow: auto;
+}
+
+.jp-ActiveCellTool {
+  padding: 12px 0;
+  display: flex;
+}
+
+.jp-ActiveCellTool-Content {
+  flex: 1 1 auto;
+}
+
+.jp-ActiveCellTool .jp-ActiveCellTool-CellContent {
+  background: var(--jp-cell-editor-background);
+  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+  border-radius: 0;
+  min-height: 29px;
+}
+
+.jp-ActiveCellTool .jp-InputPrompt {
+  min-width: calc(var(--jp-cell-prompt-width) * 0.75);
+}
+
+.jp-ActiveCellTool-CellContent > pre {
+  padding: 5px 4px;
+  margin: 0;
+  white-space: normal;
+}
+
+.jp-MetadataEditorTool {
+  flex-direction: column;
+  padding: 12px 0;
+}
+
+.jp-RankedPanel > :not(:first-child) {
+  margin-top: 12px;
+}
+
+.jp-KeySelector select.jp-mod-styled {
+  font-size: var(--jp-ui-font-size1);
+  color: var(--jp-ui-font-color0);
+  border: var(--jp-border-width) solid var(--jp-border-color1);
+}
+
+.jp-KeySelector label,
+.jp-MetadataEditorTool label,
+.jp-NumberSetter label {
+  line-height: 1.4;
+}
+
+.jp-NotebookTools .jp-select-wrapper {
+  margin-top: 4px;
+  margin-bottom: 0;
+}
+
+.jp-NumberSetter input {
+  width: 100%;
+  margin-top: 4px;
+}
+
+.jp-NotebookTools .jp-Collapse {
+  margin-top: 16px;
+}
+
+/*-----------------------------------------------------------------------------
+| Presentation Mode (.jp-mod-presentationMode)
+|----------------------------------------------------------------------------*/
+
+.jp-mod-presentationMode .jp-Notebook {
+  --jp-content-font-size1: var(--jp-content-presentation-font-size1);
+  --jp-code-font-size: var(--jp-code-presentation-font-size);
+}
+
+.jp-mod-presentationMode .jp-Notebook .jp-Cell .jp-InputPrompt,
+.jp-mod-presentationMode .jp-Notebook .jp-Cell .jp-OutputPrompt {
+  flex: 0 0 110px;
+}
+
+/*-----------------------------------------------------------------------------
+| Side-by-side Mode (.jp-mod-sideBySide)
+|----------------------------------------------------------------------------*/
+.jp-mod-sideBySide.jp-Notebook .jp-Notebook-cell {
+  margin-top: 3em;
+  margin-bottom: 3em;
+  margin-left: 5%;
+  margin-right: 5%;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell {
+  display: grid;
+  grid-template-columns: minmax(0, 1fr) min-content minmax(
+      0,
+      var(--jp-side-by-side-output-size)
+    );
+  grid-template-rows: auto minmax(0, 1fr) auto;
+  grid-template-areas:
+    'header header header'
+    'input handle output'
+    'footer footer footer';
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell.jp-mod-resizedCell {
+  grid-template-columns: minmax(0, 1fr) min-content minmax(
+      0,
+      var(--jp-side-by-side-resized-cell)
+    );
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellHeader {
+  grid-area: header;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-Cell-inputWrapper {
+  grid-area: input;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-Cell-outputWrapper {
+  /* overwrite the default margin (no vertical separation needed in side by side move */
+  margin-top: 0;
+  grid-area: output;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellFooter {
+  grid-area: footer;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellResizeHandle {
+  grid-area: handle;
+  user-select: none;
+  display: block;
+  height: 100%;
+  cursor: ew-resize;
+  padding: 0 var(--jp-cell-padding);
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellResizeHandle::after {
+  content: '';
+  display: block;
+  background: var(--jp-border-color2);
+  height: 100%;
+  width: 5px;
+}
+
+.jp-mod-sideBySide.jp-Notebook
+  .jp-CodeCell.jp-mod-resizedCell
+  .jp-CellResizeHandle::after {
+  background: var(--jp-border-color0);
+}
+
+.jp-CellResizeHandle {
+  display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Placeholder
+|----------------------------------------------------------------------------*/
+
+.jp-Cell-Placeholder {
+  padding-left: 55px;
+}
+
+.jp-Cell-Placeholder-wrapper {
+  background: #fff;
+  border: 1px solid;
+  border-color: #e5e6e9 #dfe0e4 #d0d1d5;
+  border-radius: 4px;
+  -webkit-border-radius: 4px;
+  margin: 10px 15px;
+}
+
+.jp-Cell-Placeholder-wrapper-inner {
+  padding: 15px;
+  position: relative;
+}
+
+.jp-Cell-Placeholder-wrapper-body {
+  background-repeat: repeat;
+  background-size: 50% auto;
+}
+
+.jp-Cell-Placeholder-wrapper-body div {
+  background: #f6f7f8;
+  background-image: -webkit-linear-gradient(
+    left,
+    #f6f7f8 0%,
+    #edeef1 20%,
+    #f6f7f8 40%,
+    #f6f7f8 100%
+  );
+  background-repeat: no-repeat;
+  background-size: 800px 104px;
+  height: 104px;
+  position: absolute;
+  right: 15px;
+  left: 15px;
+  top: 15px;
+}
+
+div.jp-Cell-Placeholder-h1 {
+  top: 20px;
+  height: 20px;
+  left: 15px;
+  width: 150px;
+}
+
+div.jp-Cell-Placeholder-h2 {
+  left: 15px;
+  top: 50px;
+  height: 10px;
+  width: 100px;
+}
+
+div.jp-Cell-Placeholder-content-1,
+div.jp-Cell-Placeholder-content-2,
+div.jp-Cell-Placeholder-content-3 {
+  left: 15px;
+  right: 15px;
+  height: 10px;
+}
+
+div.jp-Cell-Placeholder-content-1 {
+  top: 100px;
+}
+
+div.jp-Cell-Placeholder-content-2 {
+  top: 120px;
+}
+
+div.jp-Cell-Placeholder-content-3 {
+  top: 140px;
+}
+
+</style>
+<style type="text/css">
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*
+The following CSS variables define the main, public API for styling JupyterLab.
+These variables should be used by all plugins wherever possible. In other
+words, plugins should not define custom colors, sizes, etc unless absolutely
+necessary. This enables users to change the visual theme of JupyterLab
+by changing these variables.
+
+Many variables appear in an ordered sequence (0,1,2,3). These sequences
+are designed to work well together, so for example, `--jp-border-color1` should
+be used with `--jp-layout-color1`. The numbers have the following meanings:
+
+* 0: super-primary, reserved for special emphasis
+* 1: primary, most important under normal situations
+* 2: secondary, next most important under normal situations
+* 3: tertiary, next most important under normal situations
+
+Throughout JupyterLab, we are mostly following principles from Google's
+Material Design when selecting colors. We are not, however, following
+all of MD as it is not optimized for dense, information rich UIs.
+*/
+
+:root {
+  /* Elevation
+   *
+   * We style box-shadows using Material Design's idea of elevation. These particular numbers are taken from here:
+   *
+   * https://github.com/material-components/material-components-web
+   * https://material-components-web.appspot.com/elevation.html
+   */
+
+  --jp-shadow-base-lightness: 0;
+  --jp-shadow-umbra-color: rgba(
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    0.2
+  );
+  --jp-shadow-penumbra-color: rgba(
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    0.14
+  );
+  --jp-shadow-ambient-color: rgba(
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    var(--jp-shadow-base-lightness),
+    0.12
+  );
+  --jp-elevation-z0: none;
+  --jp-elevation-z1: 0 2px 1px -1px var(--jp-shadow-umbra-color),
+    0 1px 1px 0 var(--jp-shadow-penumbra-color),
+    0 1px 3px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z2: 0 3px 1px -2px var(--jp-shadow-umbra-color),
+    0 2px 2px 0 var(--jp-shadow-penumbra-color),
+    0 1px 5px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z4: 0 2px 4px -1px var(--jp-shadow-umbra-color),
+    0 4px 5px 0 var(--jp-shadow-penumbra-color),
+    0 1px 10px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z6: 0 3px 5px -1px var(--jp-shadow-umbra-color),
+    0 6px 10px 0 var(--jp-shadow-penumbra-color),
+    0 1px 18px 0 var(--jp-shadow-ambient-color);
+  --jp-elevation-z8: 0 5px 5px -3px var(--jp-shadow-umbra-color),
+    0 8px 10px 1px var(--jp-shadow-penumbra-color),
+    0 3px 14px 2px var(--jp-shadow-ambient-color);
+  --jp-elevation-z12: 0 7px 8px -4px var(--jp-shadow-umbra-color),
+    0 12px 17px 2px var(--jp-shadow-penumbra-color),
+    0 5px 22px 4px var(--jp-shadow-ambient-color);
+  --jp-elevation-z16: 0 8px 10px -5px var(--jp-shadow-umbra-color),
+    0 16px 24px 2px var(--jp-shadow-penumbra-color),
+    0 6px 30px 5px var(--jp-shadow-ambient-color);
+  --jp-elevation-z20: 0 10px 13px -6px var(--jp-shadow-umbra-color),
+    0 20px 31px 3px var(--jp-shadow-penumbra-color),
+    0 8px 38px 7px var(--jp-shadow-ambient-color);
+  --jp-elevation-z24: 0 11px 15px -7px var(--jp-shadow-umbra-color),
+    0 24px 38px 3px var(--jp-shadow-penumbra-color),
+    0 9px 46px 8px var(--jp-shadow-ambient-color);
+
+  /* Borders
+   *
+   * The following variables, specify the visual styling of borders in JupyterLab.
+   */
+
+  --jp-border-width: 1px;
+  --jp-border-color0: var(--md-grey-400);
+  --jp-border-color1: var(--md-grey-400);
+  --jp-border-color2: var(--md-grey-300);
+  --jp-border-color3: var(--md-grey-200);
+  --jp-inverse-border-color: var(--md-grey-600);
+  --jp-border-radius: 2px;
+
+  /* UI Fonts
+   *
+   * The UI font CSS variables are used for the typography all of the JupyterLab
+   * user interface elements that are not directly user generated content.
+   *
+   * The font sizing here is done assuming that the body font size of --jp-ui-font-size1
+   * is applied to a parent element. When children elements, such as headings, are sized
+   * in em all things will be computed relative to that body size.
+   */
+
+  --jp-ui-font-scale-factor: 1.2;
+  --jp-ui-font-size0: 0.83333em;
+  --jp-ui-font-size1: 13px; /* Base font size */
+  --jp-ui-font-size2: 1.2em;
+  --jp-ui-font-size3: 1.44em;
+  --jp-ui-font-family: system-ui, -apple-system, blinkmacsystemfont, 'Segoe UI',
+    helvetica, arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji',
+    'Segoe UI Symbol';
+
+  /*
+   * Use these font colors against the corresponding main layout colors.
+   * In a light theme, these go from dark to light.
+   */
+
+  /* Defaults use Material Design specification */
+  --jp-ui-font-color0: rgba(0, 0, 0, 1);
+  --jp-ui-font-color1: rgba(0, 0, 0, 0.87);
+  --jp-ui-font-color2: rgba(0, 0, 0, 0.54);
+  --jp-ui-font-color3: rgba(0, 0, 0, 0.38);
+
+  /*
+   * Use these against the brand/accent/warn/error colors.
+   * These will typically go from light to darker, in both a dark and light theme.
+   */
+
+  --jp-ui-inverse-font-color0: rgba(255, 255, 255, 1);
+  --jp-ui-inverse-font-color1: rgba(255, 255, 255, 1);
+  --jp-ui-inverse-font-color2: rgba(255, 255, 255, 0.7);
+  --jp-ui-inverse-font-color3: rgba(255, 255, 255, 0.5);
+
+  /* Content Fonts
+   *
+   * Content font variables are used for typography of user generated content.
+   *
+   * The font sizing here is done assuming that the body font size of --jp-content-font-size1
+   * is applied to a parent element. When children elements, such as headings, are sized
+   * in em all things will be computed relative to that body size.
+   */
+
+  --jp-content-line-height: 1.6;
+  --jp-content-font-scale-factor: 1.2;
+  --jp-content-font-size0: 0.83333em;
+  --jp-content-font-size1: 14px; /* Base font size */
+  --jp-content-font-size2: 1.2em;
+  --jp-content-font-size3: 1.44em;
+  --jp-content-font-size4: 1.728em;
+  --jp-content-font-size5: 2.0736em;
+
+  /* This gives a magnification of about 125% in presentation mode over normal. */
+  --jp-content-presentation-font-size1: 17px;
+  --jp-content-heading-line-height: 1;
+  --jp-content-heading-margin-top: 1.2em;
+  --jp-content-heading-margin-bottom: 0.8em;
+  --jp-content-heading-font-weight: 500;
+
+  /* Defaults use Material Design specification */
+  --jp-content-font-color0: rgba(0, 0, 0, 1);
+  --jp-content-font-color1: rgba(0, 0, 0, 0.87);
+  --jp-content-font-color2: rgba(0, 0, 0, 0.54);
+  --jp-content-font-color3: rgba(0, 0, 0, 0.38);
+  --jp-content-link-color: var(--md-blue-900);
+  --jp-content-font-family: system-ui, -apple-system, blinkmacsystemfont,
+    'Segoe UI', helvetica, arial, sans-serif, 'Apple Color Emoji',
+    'Segoe UI Emoji', 'Segoe UI Symbol';
+
+  /*
+   * Code Fonts
+   *
+   * Code font variables are used for typography of code and other monospaces content.
+   */
+
+  --jp-code-font-size: 13px;
+  --jp-code-line-height: 1.3077; /* 17px for 13px base */
+  --jp-code-padding: 5px; /* 5px for 13px base, codemirror highlighting needs integer px value */
+  --jp-code-font-family-default: menlo, consolas, 'DejaVu Sans Mono', monospace;
+  --jp-code-font-family: var(--jp-code-font-family-default);
+
+  /* This gives a magnification of about 125% in presentation mode over normal. */
+  --jp-code-presentation-font-size: 16px;
+
+  /* may need to tweak cursor width if you change font size */
+  --jp-code-cursor-width0: 1.4px;
+  --jp-code-cursor-width1: 2px;
+  --jp-code-cursor-width2: 4px;
+
+  /* Layout
+   *
+   * The following are the main layout colors use in JupyterLab. In a light
+   * theme these would go from light to dark.
+   */
+
+  --jp-layout-color0: white;
+  --jp-layout-color1: white;
+  --jp-layout-color2: var(--md-grey-200);
+  --jp-layout-color3: var(--md-grey-400);
+  --jp-layout-color4: var(--md-grey-600);
+
+  /* Inverse Layout
+   *
+   * The following are the inverse layout colors use in JupyterLab. In a light
+   * theme these would go from dark to light.
+   */
+
+  --jp-inverse-layout-color0: #111;
+  --jp-inverse-layout-color1: var(--md-grey-900);
+  --jp-inverse-layout-color2: var(--md-grey-800);
+  --jp-inverse-layout-color3: var(--md-grey-700);
+  --jp-inverse-layout-color4: var(--md-grey-600);
+
+  /* Brand/accent */
+
+  --jp-brand-color0: var(--md-blue-900);
+  --jp-brand-color1: var(--md-blue-700);
+  --jp-brand-color2: var(--md-blue-300);
+  --jp-brand-color3: var(--md-blue-100);
+  --jp-brand-color4: var(--md-blue-50);
+  --jp-accent-color0: var(--md-green-900);
+  --jp-accent-color1: var(--md-green-700);
+  --jp-accent-color2: var(--md-green-300);
+  --jp-accent-color3: var(--md-green-100);
+
+  /* State colors (warn, error, success, info) */
+
+  --jp-warn-color0: var(--md-orange-900);
+  --jp-warn-color1: var(--md-orange-700);
+  --jp-warn-color2: var(--md-orange-300);
+  --jp-warn-color3: var(--md-orange-100);
+  --jp-error-color0: var(--md-red-900);
+  --jp-error-color1: var(--md-red-700);
+  --jp-error-color2: var(--md-red-300);
+  --jp-error-color3: var(--md-red-100);
+  --jp-success-color0: var(--md-green-900);
+  --jp-success-color1: var(--md-green-700);
+  --jp-success-color2: var(--md-green-300);
+  --jp-success-color3: var(--md-green-100);
+  --jp-info-color0: var(--md-cyan-900);
+  --jp-info-color1: var(--md-cyan-700);
+  --jp-info-color2: var(--md-cyan-300);
+  --jp-info-color3: var(--md-cyan-100);
+
+  /* Cell specific styles */
+
+  --jp-cell-padding: 5px;
+  --jp-cell-collapser-width: 8px;
+  --jp-cell-collapser-min-height: 20px;
+  --jp-cell-collapser-not-active-hover-opacity: 0.6;
+  --jp-cell-editor-background: var(--md-grey-100);
+  --jp-cell-editor-border-color: var(--md-grey-300);
+  --jp-cell-editor-box-shadow: inset 0 0 2px var(--md-blue-300);
+  --jp-cell-editor-active-background: var(--jp-layout-color0);
+  --jp-cell-editor-active-border-color: var(--jp-brand-color1);
+  --jp-cell-prompt-width: 64px;
+  --jp-cell-prompt-font-family: var(--jp-code-font-family-default);
+  --jp-cell-prompt-letter-spacing: 0;
+  --jp-cell-prompt-opacity: 1;
+  --jp-cell-prompt-not-active-opacity: 0.5;
+  --jp-cell-prompt-not-active-font-color: var(--md-grey-700);
+
+  /* A custom blend of MD grey and blue 600
+   * See https://meyerweb.com/eric/tools/color-blend/#546E7A:1E88E5:5:hex */
+  --jp-cell-inprompt-font-color: #307fc1;
+
+  /* A custom blend of MD grey and orange 600
+   * https://meyerweb.com/eric/tools/color-blend/#546E7A:F4511E:5:hex */
+  --jp-cell-outprompt-font-color: #bf5b3d;
+
+  /* Notebook specific styles */
+
+  --jp-notebook-padding: 10px;
+  --jp-notebook-select-background: var(--jp-layout-color1);
+  --jp-notebook-multiselected-color: var(--md-blue-50);
+
+  /* The scroll padding is calculated to fill enough space at the bottom of the
+  notebook to show one single-line cell (with appropriate padding) at the top
+  when the notebook is scrolled all the way to the bottom. We also subtract one
+  pixel so that no scrollbar appears if we have just one single-line cell in the
+  notebook. This padding is to enable a 'scroll past end' feature in a notebook.
+  */
+  --jp-notebook-scroll-padding: calc(
+    100% - var(--jp-code-font-size) * var(--jp-code-line-height) -
+      var(--jp-code-padding) - var(--jp-cell-padding) - 1px
+  );
+
+  /* Rendermime styles */
+
+  --jp-rendermime-error-background: #fdd;
+  --jp-rendermime-table-row-background: var(--md-grey-100);
+  --jp-rendermime-table-row-hover-background: var(--md-light-blue-50);
+
+  /* Dialog specific styles */
+
+  --jp-dialog-background: rgba(0, 0, 0, 0.25);
+
+  /* Console specific styles */
+
+  --jp-console-padding: 10px;
+
+  /* Toolbar specific styles */
+
+  --jp-toolbar-border-color: var(--jp-border-color1);
+  --jp-toolbar-micro-height: 8px;
+  --jp-toolbar-background: var(--jp-layout-color1);
+  --jp-toolbar-box-shadow: 0 0 2px 0 rgba(0, 0, 0, 0.24);
+  --jp-toolbar-header-margin: 4px 4px 0 4px;
+  --jp-toolbar-active-background: var(--md-grey-300);
+
+  /* Statusbar specific styles */
+
+  --jp-statusbar-height: 24px;
+
+  /* Input field styles */
+
+  --jp-input-box-shadow: inset 0 0 2px var(--md-blue-300);
+  --jp-input-active-background: var(--jp-layout-color1);
+  --jp-input-hover-background: var(--jp-layout-color1);
+  --jp-input-background: var(--md-grey-100);
+  --jp-input-border-color: var(--jp-inverse-border-color);
+  --jp-input-active-border-color: var(--jp-brand-color1);
+  --jp-input-active-box-shadow-color: rgba(19, 124, 189, 0.3);
+
+  /* General editor styles */
+
+  --jp-editor-selected-background: #d9d9d9;
+  --jp-editor-selected-focused-background: #d7d4f0;
+  --jp-editor-cursor-color: var(--jp-ui-font-color0);
+
+  /* Code mirror specific styles */
+
+  --jp-mirror-editor-keyword-color: #008000;
+  --jp-mirror-editor-atom-color: #88f;
+  --jp-mirror-editor-number-color: #080;
+  --jp-mirror-editor-def-color: #00f;
+  --jp-mirror-editor-variable-color: var(--md-grey-900);
+  --jp-mirror-editor-variable-2-color: rgb(0, 54, 109);
+  --jp-mirror-editor-variable-3-color: #085;
+  --jp-mirror-editor-punctuation-color: #05a;
+  --jp-mirror-editor-property-color: #05a;
+  --jp-mirror-editor-operator-color: #a2f;
+  --jp-mirror-editor-comment-color: #408080;
+  --jp-mirror-editor-string-color: #ba2121;
+  --jp-mirror-editor-string-2-color: #708;
+  --jp-mirror-editor-meta-color: #a2f;
+  --jp-mirror-editor-qualifier-color: #555;
+  --jp-mirror-editor-builtin-color: #008000;
+  --jp-mirror-editor-bracket-color: #997;
+  --jp-mirror-editor-tag-color: #170;
+  --jp-mirror-editor-attribute-color: #00c;
+  --jp-mirror-editor-header-color: blue;
+  --jp-mirror-editor-quote-color: #090;
+  --jp-mirror-editor-link-color: #00c;
+  --jp-mirror-editor-error-color: #f00;
+  --jp-mirror-editor-hr-color: #999;
+
+  /*
+    RTC user specific colors.
+    These colors are used for the cursor, username in the editor,
+    and the icon of the user.
+  */
+
+  --jp-collaborator-color1: #ffad8e;
+  --jp-collaborator-color2: #dac83d;
+  --jp-collaborator-color3: #72dd76;
+  --jp-collaborator-color4: #00e4d0;
+  --jp-collaborator-color5: #45d4ff;
+  --jp-collaborator-color6: #e2b1ff;
+  --jp-collaborator-color7: #ff9de6;
+
+  /* Vega extension styles */
+
+  --jp-vega-background: white;
+
+  /* Sidebar-related styles */
+
+  --jp-sidebar-min-width: 250px;
+
+  /* Search-related styles */
+
+  --jp-search-toggle-off-opacity: 0.5;
+  --jp-search-toggle-hover-opacity: 0.8;
+  --jp-search-toggle-on-opacity: 1;
+  --jp-search-selected-match-background-color: rgb(245, 200, 0);
+  --jp-search-selected-match-color: black;
+  --jp-search-unselected-match-background-color: var(
+    --jp-inverse-layout-color0
+  );
+  --jp-search-unselected-match-color: var(--jp-ui-inverse-font-color0);
+
+  /* Icon colors that work well with light or dark backgrounds */
+  --jp-icon-contrast-color0: var(--md-purple-600);
+  --jp-icon-contrast-color1: var(--md-green-600);
+  --jp-icon-contrast-color2: var(--md-pink-600);
+  --jp-icon-contrast-color3: var(--md-blue-600);
+
+  /* Button colors */
+  --jp-accept-color-normal: var(--md-blue-700);
+  --jp-accept-color-hover: var(--md-blue-800);
+  --jp-accept-color-active: var(--md-blue-900);
+  --jp-warn-color-normal: var(--md-red-700);
+  --jp-warn-color-hover: var(--md-red-800);
+  --jp-warn-color-active: var(--md-red-900);
+  --jp-reject-color-normal: var(--md-grey-600);
+  --jp-reject-color-hover: var(--md-grey-700);
+  --jp-reject-color-active: var(--md-grey-800);
+
+  /* File or activity icons and switch semantic variables */
+  --jp-jupyter-icon-color: #f37626;
+  --jp-notebook-icon-color: #f37626;
+  --jp-json-icon-color: var(--md-orange-700);
+  --jp-console-icon-background-color: var(--md-blue-700);
+  --jp-console-icon-color: white;
+  --jp-terminal-icon-background-color: var(--md-grey-800);
+  --jp-terminal-icon-color: var(--md-grey-200);
+  --jp-text-editor-icon-color: var(--md-grey-700);
+  --jp-inspector-icon-color: var(--md-grey-700);
+  --jp-switch-color: var(--md-grey-400);
+  --jp-switch-true-position-color: var(--md-orange-900);
+}
+</style>
+<style type="text/css">
+/* Force rendering true colors when outputing to pdf */
+* {
+  -webkit-print-color-adjust: exact;
+}
+
+/* Misc */
+a.anchor-link {
+  display: none;
+}
+
+/* Input area styling */
+.jp-InputArea {
+  overflow: hidden;
+}
+
+.jp-InputArea-editor {
+  overflow: hidden;
+}
+
+.cm-editor.cm-s-jupyter .highlight pre {
+/* weird, but --jp-code-padding defined to be 5px but 4px horizontal padding is hardcoded for pre.cm-line */
+  padding: var(--jp-code-padding) 4px;
+  margin: 0;
+
+  font-family: inherit;
+  font-size: inherit;
+  line-height: inherit;
+  color: inherit;
+
+}
+
+.jp-OutputArea-output pre {
+  line-height: inherit;
+  font-family: inherit;
+}
+
+.jp-RenderedText pre {
+  color: var(--jp-content-font-color1);
+  font-size: var(--jp-code-font-size);
+}
+
+/* Hiding the collapser by default */
+.jp-Collapser {
+  display: none;
+}
+
+@page {
+    margin: 0.5in; /* Margin for each printed piece of paper */
+}
+
+@media print {
+  .jp-Cell-inputWrapper,
+  .jp-Cell-outputWrapper {
+    display: block;
+  }
+}
+</style>
+<!-- Load mathjax -->
+<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/latest.js?config=TeX-AMS_CHTML-full,Safe"> </script>
+<!-- MathJax configuration -->
+<script type="text/x-mathjax-config">
+    init_mathjax = function() {
+        if (window.MathJax) {
+        // MathJax loaded
+            MathJax.Hub.Config({
+                TeX: {
+                    equationNumbers: {
+                    autoNumber: "AMS",
+                    useLabelIds: true
+                    }
+                },
+                tex2jax: {
+                    inlineMath: [ ['$','$'], ["\\(","\\)"] ],
+                    displayMath: [ ['$$','$$'], ["\\[","\\]"] ],
+                    processEscapes: true,
+                    processEnvironments: true
+                },
+                displayAlign: 'center',
+                CommonHTML: {
+                    linebreaks: {
+                    automatic: true
+                    }
+                }
+            });
+
+            MathJax.Hub.Queue(["Typeset", MathJax.Hub]);
+        }
+    }
+    init_mathjax();
+    </script>
+<!-- End of mathjax configuration --><script type="module">
+  document.addEventListener("DOMContentLoaded", async () => {
+    const diagrams = document.querySelectorAll(".jp-Mermaid > pre.mermaid");
+    // do not load mermaidjs if not needed
+    if (!diagrams.length) {
+      return;
+    }
+    const mermaid = (await import("https://cdnjs.cloudflare.com/ajax/libs/mermaid/10.6.0/mermaid.esm.min.mjs")).default;
+    const parser = new DOMParser();
+
+    mermaid.initialize({
+      maxTextSize: 100000,
+      startOnLoad: false,
+      fontFamily: window
+        .getComputedStyle(document.body)
+        .getPropertyValue("--jp-ui-font-family"),
+      theme: document.querySelector("body[data-jp-theme-light='true']")
+        ? "default"
+        : "dark",
+    });
+
+    let _nextMermaidId = 0;
+
+    function makeMermaidImage(svg) {
+      const img = document.createElement("img");
+      const doc = parser.parseFromString(svg, "image/svg+xml");
+      const svgEl = doc.querySelector("svg");
+      const { maxWidth } = svgEl?.style || {};
+      const firstTitle = doc.querySelector("title");
+      const firstDesc = doc.querySelector("desc");
+
+      img.setAttribute("src", `data:image/svg+xml,${encodeURIComponent(svg)}`);
+      if (maxWidth) {
+        img.width = parseInt(maxWidth);
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+<!-- End of mermaid configuration --></head>
+<body class="jp-Notebook" data-jp-theme-light="true" data-jp-theme-name="JupyterLab Light">
+<main>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h1 id="Walkthrough">Walkthrough<a class="anchor-link" href="#Walkthrough">¶</a></h1><p>This notebook follows an example trackpy project from start to finish. We take video of micron-sized particles diffusing in water, track them, and analyze the trajectories to obtain the viscosity of water.</p>
+<p>At the bottom of the notebook, we very briefly survey the more advanced features of trackpy. Browse the <a href="https://soft-matter.github.io/trackpy/stable">rest of the documentation</a> to learn more.</p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="Scientific-IPython-Setup">Scientific IPython Setup<a class="anchor-link" href="#Scientific-IPython-Setup">¶</a></h2>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>We need Python's plotting library, matplotlib. Your environment might load matplotlib automatically, but for this tutorial I'll load it explicitly using this convention. If you are unfamiliar with matplotlib, do the same as I do here, and everything that follows will work without modification.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [1]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="kn">from</span> <span class="nn">__future__</span> <span class="kn">import</span> <span class="n">division</span><span class="p">,</span> <span class="n">unicode_literals</span><span class="p">,</span> <span class="n">print_function</span>  <span class="c1"># for compatibility with Python 2 and 3</span>
+
+<span class="kn">import</span> <span class="nn">matplotlib</span> <span class="k">as</span> <span class="nn">mpl</span>
+<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
+
+<span class="c1"># change the following to %matplotlib notebook for interactive plotting</span>
+<span class="o">%</span><span class="k">matplotlib</span> inline
+
+<span class="c1"># Optionally, tweak styles.</span>
+<span class="n">mpl</span><span class="o">.</span><span class="n">rc</span><span class="p">(</span><span class="s1">'figure'</span><span class="p">,</span>  <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">10</span><span class="p">,</span> <span class="mi">5</span><span class="p">))</span>
+<span class="n">mpl</span><span class="o">.</span><span class="n">rc</span><span class="p">(</span><span class="s1">'image'</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">'gray'</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>We also might want to use scientific Python libraries. Finally, we'll import <code>trackpy</code> itself and its sister project, <code>pims</code>.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [2]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
+<span class="kn">from</span> <span class="nn">pandas</span> <span class="kn">import</span> <span class="n">DataFrame</span><span class="p">,</span> <span class="n">Series</span>  <span class="c1"># for convenience</span>
+
+<span class="kn">import</span> <span class="nn">pims</span>
+<span class="kn">import</span> <span class="nn">trackpy</span> <span class="k">as</span> <span class="nn">tp</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>We use the alias <code>tp</code> for brevity.</p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="Step-1:-Read-the-Data">Step 1: Read the Data<a class="anchor-link" href="#Step-1:-Read-the-Data">¶</a></h2>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h3 id="Opening-images-or-video">Opening images or video<a class="anchor-link" href="#Opening-images-or-video">¶</a></h3><p>To get our data into Python, we use our sister project, <a href="https://github.com/soft-matter/pims">PIMS</a> (Python Image Sequence). PIMS makes it easy and convenient to load and process video data from many formats with one consistent interface.</p>
+<p>Using PIMS, trackpy can read:</p>
+<ul>
+<li>a directory or zipfile of sequential images</li>
+<li>a multi-frame TIFF file</li>
+<li>a video (AVI, MOV, etc.)</li>
+<li>specialty formats used in microscopy and scientific video capture:<ul>
+<li><code>Cine</code>, NorPix <code>seq</code></li>
+<li><code>LSM</code></li>
+<li>Files supported by <a href="https://www.openmicroscopy.org/site/support/bio-formats5.1/supported-formats.html">Bioformats</a></li>
+<li><code>ND2</code> using <a href="https://github.com/soft-matter/pims_nd2">PIMS_ND2</a></li>
+</ul>
+</li>
+</ul>
+<p>(Some of the formats require some extra dependencies. For a complete list, see the <a href="https://github.com/soft-matter/pims">README page</a> for PIMS, or the installation instructions in the documentation.)</p>
+<p>For many formats, using <code>pims.open</code> just works. Since these images are in color, we also need to set up a <em>pipeline</em> to convert each image to grayscale when it is read.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [3]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="nd">@pims</span><span class="o">.</span><span class="n">pipeline</span>
+<span class="k">def</span> <span class="nf">gray</span><span class="p">(</span><span class="n">image</span><span class="p">):</span>
+    <span class="k">return</span> <span class="n">image</span><span class="p">[:,</span> <span class="p">:,</span> <span class="mi">1</span><span class="p">]</span>  <span class="c1"># Take just the green channel</span>
+
+<span class="n">frames</span> <span class="o">=</span> <span class="n">gray</span><span class="p">(</span><span class="n">pims</span><span class="o">.</span><span class="n">open</span><span class="p">(</span><span class="s1">'../sample_data/bulk_water/*.png'</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [4]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">frames</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child jp-OutputArea-executeResult">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[4]:</div>
+<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
+<pre>(ImageSequence,) processed through proc_func. Original repr:
+    &lt;Frames&gt;
+    Source: /Users/nkeim/projects/trackpy/trackpy-examples/sample_data/bulk_water/*.png
+    Length: 300 frames
+    Frame Shape: (424, 640, 4)
+    Pixel Datatype: uint8</pre>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>We can access any frame like <code>frames[frame_number]</code>. The image is represented as a numpy array of intensities. If you're using the <a href="https://www.anaconda.com/distribution/">Anaconda distribution</a> of Python, these should be in the range [0, 255]. If you have a more custom environment they may be in the range [0, 1], in which case you'll have to experiment with the <code>minmass</code> parameters below.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [5]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="nb">print</span><span class="p">(</span><span class="n">frames</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>  <span class="c1"># the first frame</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>[[125 125 125 ... 120 120 121]
+ [125 125 125 ... 120 121 121]
+ [125 125 124 ... 121 123 124]
+ ...
+ [125 126 125 ... 108  98  97]
+ [125 125 125 ... 116 109 106]
+ [125 125 125 ... 124 119 117]]
+</pre>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>In an IPython notebook, the frame is represented directly by displaying the image.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [6]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">frames</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child jp-OutputArea-executeResult">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[6]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
+<img alt="No description has been provided for this image" 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" 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+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>Alternatively, to make a proper plot with axes and control over scaling, use matplotlib's <code>imshow()</code> method.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [7]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">frames</span><span class="p">[</span><span class="mi">0</span><span class="p">]);</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
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
+"/>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>Frames behave like numpy arrays, but with a few extra properties.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [8]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">frames</span><span class="p">[</span><span class="mi">123</span><span class="p">]</span><span class="o">.</span><span class="n">frame_no</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child jp-OutputArea-executeResult">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[8]:</div>
+<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
+<pre>123</pre>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [9]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">frames</span><span class="p">[</span><span class="mi">123</span><span class="p">]</span><span class="o">.</span><span class="n">metadata</span>  <span class="c1"># Scientific formats can pass experiment meta data here.</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child jp-OutputArea-executeResult">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[9]:</div>
+<div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0">
+<pre>{}</pre>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="Step-2:-Locate-Features">Step 2: Locate Features<a class="anchor-link" href="#Step-2:-Locate-Features">¶</a></h2><p>Start with just the first frame. Estimate the size of the features (in pixels). The size must be an odd integer, and it is better to err on the large side, as we'll see below. We estimate 11 pixels.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [10]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">f</span> <span class="o">=</span> <span class="n">tp</span><span class="o">.</span><span class="n">locate</span><span class="p">(</span><span class="n">frames</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="mi">11</span><span class="p">,</span> <span class="n">invert</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>The algorithm looks for <em>bright</em> features; since the features in this set of images are dark, we set <code>invert=True</code>.</p>
+<p><code>locate</code> returns a spreadsheet-like object called a DataFrame. It lists</p>
+<ul>
+<li>each feature's position,</li>
+<li>various characterizations of its appearance, which we will use to filter out spurious features,</li>
+<li>the "signal" strength and an estimate of uncertainty, both derived from <a href="https://doi.org/10.1529/biophysj.104.042457">this paper</a></li>
+</ul>
+<p>More information about DataFrames may be found in the <a href="https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.html#pandas.DataFrame">pandas documentation</a>. DataFrames can easily be exported to formats like CSV, Excel, SQL, HDF5, etc.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [11]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">f</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>  <span class="c1"># shows the first few rows of data</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child jp-OutputArea-executeResult">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[11]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
+<div>
+<style scoped="">
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+<thead>
+<tr style="text-align: right;">
+<th></th>
+<th>y</th>
+<th>x</th>
+<th>mass</th>
+<th>size</th>
+<th>ecc</th>
+<th>signal</th>
+<th>raw_mass</th>
+<th>ep</th>
+<th>frame</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td>0</td>
+<td>4.750000</td>
+<td>103.668564</td>
+<td>192.862485</td>
+<td>2.106615</td>
+<td>0.066390</td>
+<td>10.808405</td>
+<td>10714.0</td>
+<td>0.073666</td>
+<td>0</td>
+</tr>
+<tr>
+<td>1</td>
+<td>5.249231</td>
+<td>585.779487</td>
+<td>164.659302</td>
+<td>2.962674</td>
+<td>0.078936</td>
+<td>4.222033</td>
+<td>10702.0</td>
+<td>0.075116</td>
+<td>0</td>
+</tr>
+<tr>
+<td>2</td>
+<td>5.785986</td>
+<td>294.792544</td>
+<td>244.624615</td>
+<td>2.244542</td>
+<td>0.219217</td>
+<td>15.874846</td>
+<td>10686.0</td>
+<td>0.077141</td>
+<td>0</td>
+</tr>
+<tr>
+<td>3</td>
+<td>5.869369</td>
+<td>338.173423</td>
+<td>187.458282</td>
+<td>2.046201</td>
+<td>0.185333</td>
+<td>13.088304</td>
+<td>10554.0</td>
+<td>0.099201</td>
+<td>0</td>
+</tr>
+<tr>
+<td>4</td>
+<td>6.746377</td>
+<td>310.584169</td>
+<td>151.486558</td>
+<td>3.103294</td>
+<td>0.053342</td>
+<td>4.475355</td>
+<td>10403.0</td>
+<td>0.147430</td>
+<td>0</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [12]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">tp</span><span class="o">.</span><span class="n">annotate</span><span class="p">(</span><span class="n">f</span><span class="p">,</span> <span class="n">frames</span><span class="p">[</span><span class="mi">0</span><span class="p">]);</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedImage jp-OutputArea-output" tabindex="0">
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
+"/>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h3 id="Refine-parameters-to-elminate-spurious-features">Refine parameters to elminate spurious features<a class="anchor-link" href="#Refine-parameters-to-elminate-spurious-features">¶</a></h3><p>Many of these circles are clearly wrong; they are fleeting peaks in brightness that aren't actually particles. Rejecting them often improves results and speeds up feature-finding. There are many ways to distinguish real particles from spurious ones. The most important way is to look at total brightness ("mass").</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [13]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">()</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">hist</span><span class="p">(</span><span class="n">f</span><span class="p">[</span><span class="s1">'mass'</span><span class="p">],</span> <span class="n">bins</span><span class="o">=</span><span class="mi">20</span><span class="p">)</span>
+
+<span class="c1"># Optionally, label the axes.</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">set</span><span class="p">(</span><span class="n">xlabel</span><span class="o">=</span><span class="s1">'mass'</span><span class="p">,</span> <span class="n">ylabel</span><span class="o">=</span><span class="s1">'count'</span><span class="p">);</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
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+<img alt="No description has been provided for this image" class="jp-needs-light-background" 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+"/>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>We can then specify the <code>minmass</code> parameter. If your image is especially noisy, you may also find the <code>threshold</code> parameter  useful.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [14]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">f</span> <span class="o">=</span> <span class="n">tp</span><span class="o">.</span><span class="n">locate</span><span class="p">(</span><span class="n">frames</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="mi">11</span><span class="p">,</span> <span class="n">invert</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">minmass</span><span class="o">=</span><span class="mi">20</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [15]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">tp</span><span class="o">.</span><span class="n">annotate</span><span class="p">(</span><span class="n">f</span><span class="p">,</span> <span class="n">frames</span><span class="p">[</span><span class="mi">0</span><span class="p">]);</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
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+<img alt="No description has been provided for this image" class="jp-needs-light-background" 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+</div>
+</div>
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+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>There are more options for controling and optimizing feature-finding. You can review them in the <a href="https://soft-matter.github.io/trackpy/stable/">documentation</a>, where the most comprehensive description is in the API reference. Or, pull them up as you work by typing <code>tp.locate?</code> into IPython.</p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h3 id="Check-for-subpixel-accuracy">Check for subpixel accuracy<a class="anchor-link" href="#Check-for-subpixel-accuracy">¶</a></h3><p>As Eric Weeks points out in his related tutorial, a quick way to check for subpixel accuracy is to check that the decimal part of the x and/or y positions are evenly distributed. Trackpy provides a convenience plotting function for this called <code>subpx_bias</code>:</p>
+</div>
+</div>
+</div>
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+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [16]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">tp</span><span class="o">.</span><span class="n">subpx_bias</span><span class="p">(</span><span class="n">f</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
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+<div class="jp-Cell-outputWrapper">
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+<div class="jp-OutputArea-child jp-OutputArea-executeResult">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[16]:</div>
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+<pre>array([[&lt;matplotlib.axes._subplots.AxesSubplot object at 0x1c268a1490&gt;,
+        &lt;matplotlib.axes._subplots.AxesSubplot object at 0x1c269a54d0&gt;]],
+      dtype=object)</pre>
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+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>If we use a mask size that is too small, the histogram often shows a dip in the middle.</p>
+</div>
+</div>
+</div>
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+<div class="jp-Cell-inputWrapper" tabindex="0">
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+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [17]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">tp</span><span class="o">.</span><span class="n">subpx_bias</span><span class="p">(</span><span class="n">tp</span><span class="o">.</span><span class="n">locate</span><span class="p">(</span><span class="n">frames</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="mi">7</span><span class="p">,</span> <span class="n">invert</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">minmass</span><span class="o">=</span><span class="mi">20</span><span class="p">));</span>
+</pre></div>
+</div>
+</div>
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+<div class="jp-RenderedImage jp-OutputArea-output" tabindex="0">
+<img alt="No description has been provided for this image" class="jp-needs-light-background" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAXUAAAEFCAYAAAAc33cJAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAATrUlEQVR4nO3de4zlZX3H8fcXrLosiNycJiBuqoICE4WuJUhSl1shoaAFjJiWiFrRRFsrq1ERIw0KWLONutLENQoFV0u0dLcWVC7mmC60KBhwSVmpF8BdYwmyIGfQKLvf/vH7DQyzMztnfnsuv/Ps+5Vsds7vXObZZ5757O/2fJ/ITCRJZdhj1A2QJPWPoS5JBTHUJakghrokFcRQl6SCGOqSVBBDXZIKYqhLUkEM9ZaKiA9GxBH118+JiE9FxHNH3S5pEKJy+axtZ0XEq0bVpnFlqLfXp4C3RsTewIXAZzLzdyNukzQQWU1tfyAiDp2xeTIz7xlVm8aVod5Smbkd+DhwFfD9zNw84iZJg3Yt8GaAOtx/OtrmjCdDvd2WAZuAI0bcDmngMvNJYHtELAH+Avj6iJs0lgz1loqIfYFzMvOjwMMRceKo2yQNwVeANwF7ZuZvRt2YcWSot9cHgU8CZObXgBURcfBomyQNVmZuAY4FvjnqtoyrsPSupDaJiI9l5t+Puh3j6jmjboAkAUTEK4CzgZtH3ZZx5p66JBXEc+qSVBBDXZIKMtJz6gceeGAuW7Zsh+1TU1MsXbp0+A1qIfuisrN+uOuuux7JzIOG3KRG5hvz4M96mv1QaTrmRxrqy5Yt484779xhe6fTYcWKFcNvUAvZF5Wd9UNEPDjc1jQ335gHf9bT7IdK0zHv6RdJKoihLkkFMdSlOUTE/hFxS0RcUj8+KCJujYifRsR/TlcTjIh3R8TmiHgoIs4aaaMlDHVpBxFxAXAf8LoZm9cAX83MP6KqJvjHEfFyqkqaxwCnA9dGxD7Dbq80k6EuzZKZazJzArgNICKeB5wBHB0R9wEnAt8BTgLuyMyHM3MjsBk4fkTNlgDLBEi9OADYE3gQmASuBy4Cfg1snfG6rcD+s99c7/lfADAxMUGn05nzm3S73Xmf253YD5Wm/WCoSwt7vP57fWY+FRE3UtX7XgfsN+N1+/HskAeqPX+q0zcsX74857tNzVv5KvZDpWk/ePpFWkBmTgF3AifUm14H/BC4FTi2voh6JHAIsGE0rZQqhrrUm7cB74mInwEvAC7PzPuBi4EfADcC52XmEyNso9Te0y/LPnTDot/zwBWnD6Al2l1l5ooZX28EjprjNVcCV/bj+23c8jjnL3LcO+Y1m3vqklQQQ12SCmKoS1JBDHVJKoihLkkF6SnUZxc3mrH90xGxecZjixtJ0ggtGOrzFDciIo4B/mrGY4sbSdKILXif+vQU54joTG+LiD2AfwIuBT5Qb366uBHwcL0HfzzwrZmf10sdjG63y8rJbYv+x5RYL6LNdTA2bnl84RfNYfLgfRf9njb3g9QmTScf/Q3wPeCeGdsOoIfiRr3Uweh0OqzaMLXoRj3wlzt+1rhrcx2MxU6Umdbk59TmfpDaZNGhHhF/CLwHWA4cPeOpR+mhuJEkaXCa7Km/FFgC3AHsBUxExNepSpFeFhEHAS/C4kaaR5MSEFef5uryUi8WHeqZeRtVYBMRK4AvZ+Y59ePp4kbbsbiRJA1dz6E+s7jRjG0d6oCvH/etuJEkafGcfCRJBTHUJakghrokFcRQl6SCGOqSVBBDXZqDRew0rgx1aRaL2GmcGerSLJm5JjMngNumt80qYjft6SJ29cLU00XspJFpWtBL2t00LmLXS2VSgIklsHLyqUU1qsTKlVbkrDTtB0NdWsCuFrHrpTIpwOq161m1cXG/klYmLVfTfvD0i7SwmUXsruGZIna3AsdGxEERcSQWsVMLuKcuLcAidhonhro0D4vYaRx5+kWSCmKoS1JBDHVJKoihLkkFMdQlqSCGuiQVxFCXpIL0FOqzy5BGxOERcVtE3B8R6yPihfX2T0TEloj4SURY2EiShmzByUd1MaJLqQoVTU+BXgNck5mfj4ivAX8XERuANwMvo6pe99WIeElm5mCaLmnZh25Y9HseuOL0AbREbbHgnvpcZUiBnwE31l9PAQcCJwM3ZeZvgG/W2w7vb3MlSTvTqExAZp4PEBHvBN4I/CnwLuCR+vltEfFrGpYh7Xa7rJzctuh2lVius81lSBdbJnZXtLkfpDZpFOr16i7XAq8GTs3MuyLi6TKk9YICL6BhGdJOp8OqDVOLbpdlSIfr/AaH/k1dfdrS1vaD1CZNC3pdBTwfmJxRle5m4PMR8XzgBOBXwKZdb6Ikjbcm1z6uPm1po++16FCPiH2Bs4AtwPcjAuDfMvPDEXEd8GPgt8C5XiSVpOHqOdRnlSGd8wJrZl4EXLSLbZIkNeTkI0kqiKEuSQUx1CWpIIa6JBXEUJfmYL0jjauiFp62Dob6wXpHGmdFhbqaa/IfYqmmZz1HRGfG5p3WO4qImfWOnHSnkTHUpR4Mut4RwMSS4dTTaXsNnRLr/DT5uTbtB0Nd6sGg6x0BrF67nlUbB/8r2fYaSW2ud9RUkzpJTesdGepSb6x3pLFgqEsLsN6RxomhLs3DekcaR4a6pN1S0zu+2n4btJOPJKkg7qlL0iK0fU6He+qSVBBDXZIKYqhLUkEMdUkqiKEuSQXpKdTnqC19WETcGxG/iIir6roXRMS7I2JzRDwUEWcNsN2SpDksGOp1hbn7gNfN2Pwl4HPAi4EjgLdGxMuBjwPHAKcD19ZFkCRJQ7JgqGfmmsycAG4DiIi9gNcC6zJzG7AOOIVqkYA7MvPhzNwIbAZcCUaShqjJ5KP9gOCZEqNbqWpIH8Czy45Ob3+WXmpLd7tdVk5ua9C0xWt73eZh1ZYeRh3vXVFijW1pEJqE+mNAUoX7L+u/twJP15auTW9/ll5qS3c6HVZtmGrQtMWztnSlSb3nYWpaW1ra3Sz67pfMnAJuB86oL5CeSVVX+lbg2Ig4KCKOBA7hmfUdJUlD0LT2y9uA64FLgJuAL2Xm9oi4GPgBsB04b8ZiApKkIeg51GfWls7M+4Gj5njNlcCVfWmZGmt7wSFJg+PkI0kqiKEuSQUx1KU5OIta48pQl2ZxFrXGmaEuzeIsao0zl7OTFjbwWdQAE0uGM7O37TNznUVdadoPhrq0sIHPogZYvXY9qzYO/lfSWdSVUmdRe/pFWoCzqDVOdvs99SYTdR644vQBtEQt5yxqjYXdPtSl+TiLWuPI0y+SVBBDXZIKYqhLUkE8py7tZppW8fQGgfHgnrokFcRQl6SCGOqSVBBDXZIKYqhLUkEMdUkqiKEuSQVpFOoRsU9E3BgRP4mI+yJixXzLfUmShqdp8J4HvBB4GfBZ4B+YY7mvfjRQktS7pjNKu/V7nwM8r368AjgnM7dFxPRyX1+c/cZeVoHpdrusnNzWsGmDN8yVY5qsftL2FV2aGNZqONK4axrq3wA+QLUKzD7AO4AT2HG5rx30sgpMp9Nh1Yaphk0bvGGuHNNkFZi2r+jSRNNVYKTdTdPTL58G7gAOotpDv5pnlvuCeZb1kiQNVtNQ3xOYysztwBPA74F72HG5L0nSEDUN9YuBV0XE/wL/SrXU15uA9wI/BzZRXTiVJA1Ro3PqmfkA1WmX2XZY7qtErmsqqa28l1zqgXMzNC5cJEPqzcy5Ge+impvxO6q5GV8Abqeam7HDbbwavKYLf5TIUJd6M9C5GQATS9o9x2BY8wScm1FpOjfDUJd6M9C5GQCr165n1cb2/koOa36GczMqTedmeA5Q6o1zMzQWDHWpN87N0Fgw1KXeODdDY6G9J/CkFtnd52ZofLinLkkFMdQlqSCefpHUk2FN8Ln6tKVD+T6lck9dkgpiqEtSQQx1SSqI59QltcrGLY8XOe1/WNxTl6SCGOqSVBBDXZIKYqhLUkEMdUkqSOO7XyLiHVSLBjyPqtb0WmA9cChwN/DGzHyyH40sQdPZeCsnn/JOAEk9a7SnHhGvBi4EjgaOA14OfAb4bmYeDDwJfLhfjZQk9abp6ZezgYeAbwHfBr5DtbTXuvr566nWa5QkDVHT0y8TwCuBY6hWV7+F6jTMgus19rIIb7fbZeXktoZNK0vbFyMelqaL8Eq7m6ah/hhwW2Y+AjwSEV3gD+hhvcZeFuHtdDqs2jDVsGllWTn5VKsXIx6WpovwSrubpqdfvgu8JiKWRsQRVKurfwc4o37+DbheoyQNXdNQv5Hq/Pl9wDeAdwJvAU6MiM3A3sBlfWmh1BIR8Y6IuD8iHoyI90XEiyLivyJiS0TcEBF7jbqNUqNQz8r7M/PQzHxpZn45Mx/OzOMy85DMPN3bGVUS7/jSuHDykdQb7/jSWPAKnNSbgd7xBd7pNM1+qDS948tQl3oz0Du+AFavXe+dTnjH17Smd3x5+kXqjXd8aSz436HUmxupzqHfB/ye6o6vm4D19R1f9+AdX2oBQ13qQWYm8P76z0zHjaA50rw8/SJJBTHUJakghrokFcRQl6SCGOqSVBBDXZIKYqhLUkEMdUkqiKEuSQUx1CWpIIa6JBXEUJekghjqklQQQ12SCrJLoR4Rh0TEExHx166sLkmjt6t76quB6cUE/xFXVpekkWoc6hFxJlWg31NvOhlXVpekkWq08lFE7A18Evgz4Np68wH0aWX1brfLysltTZpWHFdWrzRdWV3a3TRdzu5jwD9n5s8jYnrbo/RpZfVOp8OqDVMNm1YWV1avNF1Zvd8i4hCqdUrfB/w7sB44FLgbeGNmPjnC5kmNT78cBrwtIjYBfwJcSrUYryurq3ReR1KrNQr1zHx9Zh6Wma8Avgd8FDgGOLFeWX1vXFldhfE6ksbBLh/XZ+aKGQ9dWV1FGvR1JPD6yTT7odL0OpIna6XeDPQ6EsDqteu9foLXkaY1vY5kz0m9OQx4ZUScT3Vh9HCeuY7033gdSS1hqEs9yMzXT38dER3gy9R3v9TXke7B60hqAUNdWiSvI6nNLOglSQUx1CWpIIa6JBXEUJekghjqklQQQ12SCmKoS1JBDHVJKoihLkkFMdQlqSCGuiQVxFCXpIIY6pJUEENdkgpiqEtSQQx1SSqIoS5JBWkc6hFxSURsqv+cGxGHRcS9EfGLiLgqIvwPQ5KGrFHwRsQJwFuAVwNnA18E/gX4HPBi4AjgrX1qoySpR03XKF0KfDYzfxsRU8BeVAG/LjO3RcQ64BSqsH+WiLgAuABgYmKCTqezw4d3u11WTm5r2LSyTCyBlZNPjboZI9ftduccK8MUEZcA59YPLwF+AFwP7A98G3h7Zm4fSeOkWqNQz8z/AIiIg4HrgFuAk4Gt9Uu2Ug30ud67BlgDsHz58lyxYsUOr+l0OqzaMNWkacVZOfkUqza6PvjVpy1lrrEyLDOOTl8JvBT4HvAjqqPTLwC3Ux2d7rAjIw1T47SIiDOBq6hC/QPAE8B+wC/rv7fO/25p7Az06BQ8KptmP1SaHp02CvWIOBr4CvCmzLyh3nY7cEZEfBE4E/dYVJBBH50CrF673qMyPDqd1vTotOkdKucBewKrpu+AAT4CvBf4ObAJ+FLDz5ZaqT46/SFwF/AGIKmOSsGjU7VE03PqFwIXzvHUUbvWHKmdPDrVuPBecqk3Hp1qLHjiSuqBR6caF+6pS1JBDHVJKoihLkkFMdQlqSCGuiQVxFCXpIIY6pJUEENdkgpiqEtSQQx1SSqIoS5JBTHUJakghrokFcRQl6SCGOqSVBBDXZIKYqhLUkEMdUkqSN9DPSI+ERFbIuInEXF8vz9fahvHvNqkr2uURsTJwJuBlwEnAV+NiJdkZvbz+0ht4ZhX2/R7T/1k4KbM/A3wTeBA4PA+fw+pTRzzapW+7qkDBwCPAGTmtoj4NbD/zBdExAXABfXDbkT8aI7POXD6c3Z3f2tfAHDCJ3faDy8ZZltm6deYB3/WgGN+WtMx3+9QfxTYDyAi9gBeAGyd+YLMXAOs2dmHRMSdmbm8z20bS/ZFpcX90JcxX7+/rf/GobIfKk37od+nX24GTomI5wOnAr8CNvX5e0ht4phXq/R1Tz0zb4mI64AfA78FzvWCkUrmmFfb9Pv0C5l5EXDRLn7MgoequxH7otLafujTmIcW/xuHzH6oNOqHcKdCksrhjFJJKoihLkkFGXmo72yKdUQcFhH3RsQvIuKq+paxIi3QD2dHxGMRsan+c86o2jkMEbF/RNwSEZfM8dzxEfHjuq8+MYLm7TLHfMUx/4y+jvnMHNkfqtl4PwWWAH8OPER9nr9+fgPwLmBP4A7g7aNs7wj74Qrg4lG3c0h9cQHwf8DvgUtmPRd135wGLAUeBE4adZv7/LN2zKdjfsZzix7zo94LmHeKdUTsBbwWWJeZ24B1wCmjauiALTTV/DXAqfUey9ciYv+5PqQEmbkmMyeA2+Z4+nCqvrkpM6eAbzF+Y8IxX3HM1/o95kcd6gdQz76rB/HMKdb7Uf0vNT07byuzpl8XZGf9AHA3cClwJPBc4CPDbmBLHAA8npnb68fjOCYc8xXHfG8WPeZHHeo7m2L9GJDTz9d/b539AYWYtx8iYk9gNXBzPfhvBI4aUTtH7VFg3xnnmcdxTDjmK4753ix6zI861OedYl0fatwOnFH/g86sX1+ihaaa3w2cUH99HHDncJvXGpuo+uakiFhC1VfjNiYc8xXHfG8WP+ZbcJHgMmAz1TTr44HLgWvq5w4D7gW2AFcBe4y6vSPqh9OB/6l/wNcB+4y6vUPojw71RSPgGuDy+uvj6z7aAlw26nYO4GftmE/H/K6MeWeUSlJBRn36RZLUR4a6JBXEUJekghjqklQQQ12SCmKoS1JBDHVJKsj/A5R6RvSFn944AAAAAElFTkSuQmCC
+"/>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h3 id="Locate-features-in-all-frames">Locate features in all frames<a class="anchor-link" href="#Locate-features-in-all-frames">¶</a></h3><p>Or, to start, just explore a subset of the frames.</p>
+<table>
+<thead>
+<tr>
+<th>selection</th>
+<th>syntax example</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td>all the frames</td>
+<td><code>frames[:]</code> or simply <code>frames</code>.</td>
+</tr>
+<tr>
+<td>the first 10 frames</td>
+<td><code>frames[:10]</code></td>
+</tr>
+<tr>
+<td>the last 10 frames</td>
+<td><code>frames[-10:]</code></td>
+</tr>
+<tr>
+<td>a range of frames</td>
+<td><code>frames[100:200]</code></td>
+</tr>
+<tr>
+<td>every 10th frame</td>
+<td><code>frame[::10]</code></td>
+</tr>
+<tr>
+<td>a list of specific frames</td>
+<td><code>frames[[100, 107, 113]]</code></td>
+</tr>
+</tbody>
+</table>
+<p>We'll locate features in the first 300 frames from this video. We use <code>tp.batch</code>, which calls <code>tp.locate</code> on each frame and collects the results.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [18]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">f</span> <span class="o">=</span> <span class="n">tp</span><span class="o">.</span><span class="n">batch</span><span class="p">(</span><span class="n">frames</span><span class="p">[:</span><span class="mi">300</span><span class="p">],</span> <span class="mi">11</span><span class="p">,</span> <span class="n">minmass</span><span class="o">=</span><span class="mi">20</span><span class="p">,</span> <span class="n">invert</span><span class="o">=</span><span class="kc">True</span><span class="p">);</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>Frame 299: 624 features
+</pre>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>As each frame is analyzed, <code>tp.batch</code> reports the frame number and how many features were found. If this number runs unexpectedly low or high, you may wish to interrupt it and try different parameters.</p>
+<p>If your images are small, you may find that printing this number actually slows down <code>batch</code> significantly! In that case you can run <code>tp.quiet()</code> to turn it off.</p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="Step-3:-Link-features-into-particle-trajectories">Step 3: Link features into particle trajectories<a class="anchor-link" href="#Step-3:-Link-features-into-particle-trajectories">¶</a></h2><p>We have the locations of the particles in each frame. Next we'll track particles from frame to frame, giving each one a number for identification.</p>
+<p>First, we must must specify a maximum displacement, the farthest a particle can travel between frames. We should choose the smallest reasonable value because a large value slows computation time considerably. In this case, 5 pixels is reasonable.</p>
+<p>Second, we allow for the possibility that a particle might be missed for a few frames and then seen again. (Perhaps its "mass" slipped below our cutoff due to noise in the video.) Memory keeps track of disappeared particles and maintains their ID for up to some number of frames after their last appearance. Here we use 3 frames.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [19]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># tp.quiet()  # Turn off progress reports for best performance</span>
+<span class="n">t</span> <span class="o">=</span> <span class="n">tp</span><span class="o">.</span><span class="n">link</span><span class="p">(</span><span class="n">f</span><span class="p">,</span> <span class="mi">5</span><span class="p">,</span> <span class="n">memory</span><span class="o">=</span><span class="mi">3</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>Frame 299: 624 trajectories present.
+</pre>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>The result is the features DataFrame <code>f</code> with an additional column, <code>particle</code>, identifying each feature with a label. We denote this new DataFrame <code>t</code>.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [20]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">t</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child jp-OutputArea-executeResult">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[20]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
+<div>
+<style scoped="">
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+<thead>
+<tr style="text-align: right;">
+<th></th>
+<th>y</th>
+<th>x</th>
+<th>mass</th>
+<th>size</th>
+<th>ecc</th>
+<th>signal</th>
+<th>raw_mass</th>
+<th>ep</th>
+<th>frame</th>
+<th>particle</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td>0</td>
+<td>4.750000</td>
+<td>103.668564</td>
+<td>192.862485</td>
+<td>2.106615</td>
+<td>0.066390</td>
+<td>10.808405</td>
+<td>10714.0</td>
+<td>0.073666</td>
+<td>0</td>
+<td>0</td>
+</tr>
+<tr>
+<td>365</td>
+<td>284.118980</td>
+<td>25.313881</td>
+<td>149.037779</td>
+<td>2.321961</td>
+<td>0.031799</td>
+<td>7.008575</td>
+<td>10770.0</td>
+<td>0.067577</td>
+<td>0</td>
+<td>1</td>
+</tr>
+<tr>
+<td>364</td>
+<td>282.753601</td>
+<td>534.788476</td>
+<td>222.754482</td>
+<td>1.908443</td>
+<td>0.103416</td>
+<td>15.874846</td>
+<td>10415.0</td>
+<td>0.141946</td>
+<td>0</td>
+<td>2</td>
+</tr>
+<tr>
+<td>363</td>
+<td>280.010398</td>
+<td>275.185353</td>
+<td>186.782757</td>
+<td>2.508665</td>
+<td>0.183181</td>
+<td>7.261897</td>
+<td>10438.0</td>
+<td>0.132499</td>
+<td>0</td>
+<td>3</td>
+</tr>
+<tr>
+<td>362</td>
+<td>279.134153</td>
+<td>252.780324</td>
+<td>151.064355</td>
+<td>2.938060</td>
+<td>0.253812</td>
+<td>4.306474</td>
+<td>10359.0</td>
+<td>0.171764</td>
+<td>0</td>
+<td>4</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h3 id="Filter-spurious-trajectories">Filter spurious trajectories<a class="anchor-link" href="#Filter-spurious-trajectories">¶</a></h3>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>We have more filtering to do. Ephemeral trajectories — seen only for a few frames — are usually spurious and never useful. The convenience function <code>filter_stubs</code> keeps only trajectories that last for a given number of frames.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [21]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">t1</span> <span class="o">=</span> <span class="n">tp</span><span class="o">.</span><span class="n">filter_stubs</span><span class="p">(</span><span class="n">t</span><span class="p">,</span> <span class="mi">25</span><span class="p">)</span>
+<span class="c1"># Compare the number of particles in the unfiltered and filtered data.</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'Before:'</span><span class="p">,</span> <span class="n">t</span><span class="p">[</span><span class="s1">'particle'</span><span class="p">]</span><span class="o">.</span><span class="n">nunique</span><span class="p">())</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'After:'</span><span class="p">,</span> <span class="n">t1</span><span class="p">[</span><span class="s1">'particle'</span><span class="p">]</span><span class="o">.</span><span class="n">nunique</span><span class="p">())</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>Before: 13715
+After: 1505
+</pre>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>We can also filter trajectories by their particles' appearance. At this stage, with trajectories linked, we can look at a feature's "average appearance" throughout its trajectory, giving a more accurate picture.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [22]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">()</span>
+<span class="n">tp</span><span class="o">.</span><span class="n">mass_size</span><span class="p">(</span><span class="n">t1</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s1">'particle'</span><span class="p">)</span><span class="o">.</span><span class="n">mean</span><span class="p">());</span> <span class="c1"># convenience function -- just plots size vs. mass</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedImage jp-OutputArea-output" tabindex="0">
+<img alt="No description has been provided for this image" class="jp-needs-light-background" 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
+"/>
+</div>
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+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>The particles with especially low mass, or that are especially large or non-circular (eccentric), are probably out of focus or aggregated, respectively. It is best to experiment by trial and error, filtering out regions of mass-size space and looking at the results using <code>tp.annotate</code>. In the end, we need to separate the good particles from the spurious ones, and it doesn't matter how we get it done.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [23]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">t2</span> <span class="o">=</span> <span class="n">t1</span><span class="p">[((</span><span class="n">t1</span><span class="p">[</span><span class="s1">'mass'</span><span class="p">]</span> <span class="o">&gt;</span> <span class="mi">50</span><span class="p">)</span> <span class="o">&amp;</span> <span class="p">(</span><span class="n">t1</span><span class="p">[</span><span class="s1">'size'</span><span class="p">]</span> <span class="o">&lt;</span> <span class="mf">2.6</span><span class="p">)</span> <span class="o">&amp;</span>
+         <span class="p">(</span><span class="n">t1</span><span class="p">[</span><span class="s1">'ecc'</span><span class="p">]</span> <span class="o">&lt;</span> <span class="mf">0.3</span><span class="p">))]</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [24]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">()</span>
+<span class="n">tp</span><span class="o">.</span><span class="n">annotate</span><span class="p">(</span><span class="n">t2</span><span class="p">[</span><span class="n">t2</span><span class="p">[</span><span class="s1">'frame'</span><span class="p">]</span> <span class="o">==</span> <span class="mi">0</span><span class="p">],</span> <span class="n">frames</span><span class="p">[</span><span class="mi">0</span><span class="p">]);</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
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
+"/>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>Trace the trajectories using <code>plot_traj()</code>:</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [25]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">()</span>
+<span class="n">tp</span><span class="o">.</span><span class="n">plot_traj</span><span class="p">(</span><span class="n">t2</span><span class="p">);</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedImage jp-OutputArea-output" tabindex="0">
+<img alt="No description has been provided for this image" class="jp-needs-light-background" 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+<h3 id="Remove-overall-drift">Remove overall drift<a class="anchor-link" href="#Remove-overall-drift">¶</a></h3><p>Compute the overall drifting motion, which we will subtract away, adopting the reference frame of the particles' average position.</p>
+</div>
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+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [26]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">d</span> <span class="o">=</span> <span class="n">tp</span><span class="o">.</span><span class="n">compute_drift</span><span class="p">(</span><span class="n">t2</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
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+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [27]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">d</span><span class="o">.</span><span class="n">plot</span><span class="p">()</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
+</pre></div>
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
+"/>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [28]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">tm</span> <span class="o">=</span> <span class="n">tp</span><span class="o">.</span><span class="n">subtract_drift</span><span class="p">(</span><span class="n">t2</span><span class="o">.</span><span class="n">copy</span><span class="p">(),</span> <span class="n">d</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>With the overall drifting motion subtracted out, we plot the trajectories again. We observe nice random walks.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [29]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">ax</span> <span class="o">=</span> <span class="n">tp</span><span class="o">.</span><span class="n">plot_traj</span><span class="p">(</span><span class="n">tm</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
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bgUxf80Uqc5jZvWwmAQ+WraTovz//lsAA5ODf8ZFuWWU5hdzrUrkrdLlxE1q/FObd1MWWEBrXr2YecP3/DHZx8CMGPVRgvbmDVUbg6MebUrSScqvweOriYvpeM/QGYcZMXBlYPEnpoEYKbHvx5RFGv+nuddMjv0XfIUAKVh7dAKOhxHfY7Kym7ATsOw7wgqOXNmGrpAaQXrdEjLvv2969Vf1BtInbmXwi3JdbYt+utvKk6fRnNRMmD17NmTGTNmADB58uQGC4GjhaXMvZTBioxc9uYX29TneiFw/8y3Gfjok1btAqqO1fy1rSz2r5/2ygzbg+QEmYBDM1dC5vfHY1Q4AF4PtkKQ2f5ZGAxq9u7ryZ693dm+IwKNJheA/ftNjmhV7r9KhcCo6EAcVQqin5iEQZSRr6v0/mh7j833rI5arSYxMdHifHmxhtXvWQ8yy8sobdC9APR6A8vfPMjGz09y8NckDv6aRHxUW0r27LHaftt3iwAIaRtDaYEpZvPTCba/38CWHvR9sJXpRJWratfH4c6P4aEfEKeY7h8bO5HtO8xtRXmrTxEf1ZaEtu24+t+tZH0fh75EY34jF5MRuaw0gKR1DmgmHsPlyYN4PnEUVeDtZVP7p2MXBEB5ueQWKjpD7rNayvoa0Ovr9wOt0mMX76jb20AVE43CX/qilx0/DoC7uztz5swhOLhuV7TrCdx5ksCdJ7m7Ui2zqkNL7vBxr7Nf3M6tFudadu5Ot7sfsNreuYMfIfP7EzK/PzIrq9ikMvPI101dWlm0sQW3gaGEzO+PS7fAevUrK0tBo8lBq5UEkFIpeXkNGjTI2KYquC0q0J27OlR+1jIZ2tey+Tn3/9C/lQ/jljdo3mfPnmXFihWUlJSYnd/89Rnyr3vgu/s68Z/PBhDYwqNB9wI49mey2bGrThJ8VydPqVW9ufMHSYXz6PzPpbn4NaIHi1sgQlBHOnf6EYC8fEkIVxcGxXvPG18LCie05/PJmHsYUVdNJefoCpN3UxT0PKlbQFOsQF9iz0nUVNhVQ4BcblI/qNtLP6A2bd6r9zie90ZQsCGJ1Jl7CZjeBWWgdbXGlclT0FVGoaovXsS5a1er7WqiusH2+qR2aztF0M/Lre4xDAayLpuvXnveP7Ze87h+TmFnS0gb0AG9ABUGEfeaXECbgIKCYxw/IfmrN2v2CGlpPxF3djoOSm9atXqT2bNnIZPV/HVXOMoZPTUGuVwG6mJwrPwMC9Pg/ypjK2pRF9WWK2f0Mx1Y8l9T0Fdj5QU6tinZ+Hpw2VqEIybVk/rCBZzamOdufHnNH5QXF/Hl0w8D4Nc8nBeWr0Mub/zHgLd3X/z9R5OdvcniWuBrI8l2DTTufGXdA/DtEYSguG5dGtwJ57HNiZw0i9RnnzOLo/gnI4oieaUafFybJgdZQ7DvCAC12mQc7dhxCUOHJBHS7OF6jyN3l4xpRUIZpy+dq7Gd9+OTjK89HngAfUkJolZLfFRbKhLqzq4RtOsUQbskw6cowlPNTP7i3dxts2vkZ2Zw8m9zHXuvMRNs6muN3LQS9qy+wKltV3GQyW6qEABwdPRH5SQ9KNLSfgIgO/tPUtOWs3NXFDt31Z7QVi6X0aKjHyRsgg9CTC6qS6sZGRe0kjxZ6iArK4vCwkKKt20jPqotji6mB+3URYPq9b5q49nFQxjzWldGzoiCI+b2h4p466lKVG7uvLzmD15e8wcymRylgyMyedP8r8KbTzW+jmozz/jaMcyd0A8H8PPQAO6imILegTiEWl+8KLy8kDk5EbbkO+Seljmh6pPR9nZhf2Iur62r2zPxZmLfEQBubu3w8OhGYeExTp16qlYDV02IokjucunH5/dYNFfKLQ2wVXg99BDuo0Yjc3FGEATS356DMkjKgFj1F2DZ2WVEekbSt5kpKVeXA2cBGOErqX4GH03gYqVK5uM2oTjZ6PPuHdyMGat/51rKZQqzM3H19jEL9KkvPs0kw52zh23ZT8vLr3DixCNUqNPJ9xjLnZ3m3ZC/vkoVRp8+O9Hpitm9p5PVNgaDrtZdAQCrK4Xh2V/BxU9yX6yiNBuuHoEWlj7/gwYNYteuXQAs//FHxvXtBy+8AEDRpk1MXTQK0WDp6XOjOAYZGL5mBMMfD2T6hRaEfPUVhRs34nHXXY16n4bg5taOXj23otMX4+He0eL6i0Nb0dLXBW1NUeQ1cPjwYTZv3kx4eDjJycmEhYXx5JNPNta0m5w+ET70aikFsqkvXkRfUoJT69YU/fU3roMGovBpwgyQNWCPI6hGlR5z4IBTKBT190go2nWVkgPp+E/pgMLHdn90fUkpMidHkJuCgArVhZzMPsnGpI3sS9vHpgc24aPyIXDnSatjeCvlnOvXBGkW6sHmxWcYML61TW61+46ORV0s2UcSaIt/5Ic8FGaZlqEh7D8wkIqKVOPxkMGJthvgV46HC5trvn7vl9D5EauXrl27xqJFixi3eo3xXPCnnyCWl+M5xnqk8Y0SsyyGvkWdGNf7Mfp2GISDjWnIbye02gLU6ixyc3fTrNkEFAo38vIP4unRFZnM/P3Ex8ezZs0aizGmTZuGv/+NpT1pajIzN+Lu3hFn5+ZkFlaQ1bs7Dgbz7MQyFxfaHG+a55s9jqCe7N7TkcOHR9c7X4v7oFDcBoSgvlyEoUKHTqsnN62kznHkri4ICoXZw2rRyUXsvLqTLSlbKNOVMejnQRbjtCzRMypdyoMQ4njrHwCjnomxObai1NMU7RlFPN6J95CQMKtR5tG3z26GDkmiXduPEYR6RtiO/8mUt2fkfMvrLQfV2NXX15dJkyaR5y0Zqf1few2P0aObTAgA7Bi9lTbXYtj9xwHef//9JskxlDH7bYpsiG/585OP+GTcXZyb8Rtlp2wvJLRnb1cOHxlNYtKH7N7Tie07IoiNfZSdu9qatRNF0aoQ+Kdw9txLHDw0BLX6Gtri30lZcD8Rf0mLDo977yFk0Rc0X/mTsf32ZedMrrpNjF01VI2hQ5IoKTnP4SOjKS453yA3zvJQNzJXxHN4yVkUbg6UFWm446n2tOpeP8+MmT1mklacxrqL64znxv4xlhG+YxgTMZLwYj3e30p2iO8f6V7ved5qOnt6cKaag5UOBS1aTG/UewQF3U9Q0P316ySTw4h5kPAH/DVTOucaAANfhe5P19pVEARatGjBjyNG0L17d9qOHt3AmduOn18gopMAGrhX3R10BlA2rs7f86EHjV5uNVGQkk7CEcltdHPad4xb5YNzx9r7XO9Wao19+/rQr59UH+Dy5cvG8y+//LIxNgQgNjaW4cOHI7MhHqKxEEURERGZYNs9Y6K/JOH8W+zb3wuA7l0+wiEovMbU8wkHM0k4mMnYN7vjV4MNpbGwq4assG17JLEnRtO9+wNmroe2sOiZHcbXHv4qXEmn/4RofNrWv/qmKIqsTFjJ/CPmK9Mzk85QfjaH3OXxBM3qidz11u8GbOHn8z9TpCni6ZinzXT5jkFTcA2eQicPS1fKLLWWjgfOcqRXW8JUN8nLQhRhyyw4+AVEDIXH1t+c+1ajtCCf2L/+oMuou3H2qLlwzu2CKIqc+W0zW1d/yX0vziI8ujNy99r/X9YEQbdu6yuTxQlcuvw5wUEPGnMKGQwGEhISaNdO8uIqLy9HqVRSWFjIl19+iV4vZUF94oknaN7c9vxYDUFn0Bkr3IHtVe6q3nPr1nMIDak9zfXuVedRuSrpMqI5ikaoglebasi+I7gOce0TtGh5D23GP82SJT+za9euepXR6zA4BGcPB7qODJceKO94QuwoaLu6zr7XIwgCj7R9hEfaPkKZtoyeK3sar1V5WWhSilG1v/nGJYD8inwGrBlAR7+ODAsbRmpJKq/3eB25zPSl/fDIh6yIX0H3wO4czTwKwNMxT6NQuDF40Hmyszdx7doWYq4TAlULlE+TM4lxVeHn0HBDdr0RBAz956D1fgDHDpYCfHl6DoO83Ql1ahoBLIoiGxbMJSPxPBHdeqLTam447XdTIwgCHe4fTYf7678LkskciYn5El+fQWbnr1z5GhfncKMgkMlkRiEAoFJJdjgfHx/GjBnDb7/9hkajwcPKgqKxeGDjA1zMv2hxPsq75vKUVRQUmBawAf41VzKrYuCEm1e63S4IqqMtR4hbT0RKMAd6Szrs0fXc3vcf19p0IAgwIwHcg2ruYCPOSmfe6PkGd7e8GwC5uyNBs3oiU93EB+R1pBSlEKLVcj4rllPXJHfWboHdGBk+0tjm7CVJSFUJgRWjVhivyWQK3N1jcFKZZ6j8LSufZ86loBQEtKLInX4ejZ4BtC7KTl6jYGMZHuUFuA0wdxz44FIGTjIZoYHeNfSum/T0dE6dOsXhw4dRKpW8+eabxmuXY49hMOgZOe0lVr4pRZx7BYcwacH/6p0o7nblYuIHZsfXCwEAhcKT+ITXyb62hU4dv6t1vHbt2hEREUHS6fO4aBpfQO+6uovndzxvcb5fs358Newrm8ZwcYnAyakZKqdQFAobVD2iCLlJ4Nt09cSrsAuC6swLhMd+hYghdCgp4dixY3TpUv8yegApKSkcOnSIhx56qNEs8hOizP38b4ZKyGDQAgLL3zxMSb7aFAx19Sidlgyjyr/m6owzjP71TgKcTbaQhScWEqv+1my8/AIfqLa4dXZuwZYFPzHk8VDc/aQLvg4KXm8RhEouMDnU+ko4PzMdR5UzX01+lBeWr0Pp0LhqI6c2ksG3cNNlnLsGIHcxPYDP9o2u1X6UlJRESUkJHTtaukxWkZ2dzeHDUsptrVaLwWAw6rfz0lPpcf9Yfv/kfWN7v9DmpJ47S/MO1l1j/2lcuWJ6sPfqaW6ILi+/yoGDg4zHeXk1JzkUtQbS3pKilxX+Ktyzy8niOMGzeyFzbjyhueLcCqvnx7Sy3RFAqfSibx/r6T8sKM6ChZ1BWwpvF1jmb2lk7F5DlegT9lJR4oLOQUqf6+rqygsvvNDg0pTff/898fHxxMbGotfrEUWRzZs3W6QfuN3ZvacDO3e1IWT4RJz9LsCaypz/fubb1o/3SB4/qcUmt01npWUmzHOZ5oW743ZtI+nYIY5v2mA818/LjRfDA2oUAgBLX5zM2T07CIvphLwJUnkrfFQIlWk0qgsBqDkFt15fRn7BMZYvX86vv/5q1Flbw8/Pj6CgIF599VUA3n33XSoqpDKW3e66H/+wFmbtUxPOsnZe43hV3Q4MHpTAkMGJDBl8AZUqxOyaIJjrw4cMrjnIsvDvZONrXbaUgsKxtVejCgGA70Z8Z6xkdvjhw8bz/Zr1a9T7ANJO4JPWkhAAUBc1/j2u419vLNZcvUrZ8eNkzDRVNmq+aiXOnTvX0qtu4uPjCQkJ4bvvvkOhUNCyZUuOHj3KXVOfI9zLE1+Hf8ZmLD//ECdiTX7zg3fnIntsLUQOA4MeKgqZf+ZrfkpYyZDQIbzc7WXC3M1TAWj0Gr49/R0+9EBb4ctjvcNN18rLKMnPxzvYsoCJ5soVBCcnlJUeK6LBwKYvPsE/vCU6rYaOw0ez/XIpw9sF4NTInjJVGAwiMhsT3504sYGNG03ZU6dPn46nlWhYaVwDer0epVJJRkYGX3/9NSPZSa97JxvjFLYvXczJv6VaEK179ePCoX1mtSFuF7Kv/c2ZM9OIiHiV8OZT6u5gA5cuL+Ty5c/x8OhKt64/19jOoNGT+dFRDCWSG7X7sDCcuwSg8G7c+tVNiaGszLwKXZVtsYo+L8Ad9U95cz32wjS1UFWQ5npqculqCFlZWWi1Wr5Y/hM/9BqBr1JBXL+GF36viTlz5tCzZ09GjRrVqOOWFSaw7K0LIMqY6vMIPPYbRJjKVd73230kFSZxZtKZRr1vfFRbPO69h+APpXTJS6ZPpiAjHUSRGT/9BgoF09ecRKWUM39Mh0a9N0hCoOcH27lWrObU23fgUYs9Rq8vZ+PGwZw6JdlHOnWO5PSpS4wYMYKePXuatdXpdMydOxcABwcHNBop86Y3+bzw4gzwas6uH7/j+J+/AVJNiIiujV+KszG4cOE9rqb+YDweNOA8qfFxrJ0r7V6m//Rbg3dstaaprt7OICJW6DCU6ywCOXUFFYhaA8o66jTcbERR5NJdd6NJkrIYRJ0+hVA9GPDgIji5EsL7Q9u7IPzGd6sbIFMAACAASURBVB72gLJaiNy9u9rrXTRfsRxl8zC02bYFcmz4eC47f/jGeJwaH8dfX31GSb4pBXNAQAAhISG8+YpUqD5Hq6NIV7PawFbiisvI1ZgiE+VyOYcPHzbzt66J+AMZZCTWXuCjCmePKKbObicJAddAMyEAcEf4HfWbeB2IBgMGvZ5WBw8Q+PbbxvN+zVug0mgZdfoSCTEdaPH6JjacTGf10atMXXG8UecAklp2zt1StHPHd2oPqMrL24ebu6T26t8/gjtH34fBYGDzZsso5Q8+MBlKNRoNI0eOZOrUqbww53Pwktwez+2R3JDDO3ahZZfGjROpSCqg/GwOqTP3Wq0KVx+qCwGA5W8+YRQCULMazRZs7SvIBGTOSqvR/BXn8ijZl9bgOTQZomgUAgAJHTqSNPpOtGmVc+39LEzdD6PmN4oQqIt/hn6iCVEG+Jut/pUBAbTcuBGZY+3Gx0y1Fn+FzFjp6cTmjUxc8AXr5s0mqFUb5Fby9rgp5MT1jebDyxm4NdAL5nKZmt6H4/FSyMnX6Rns7caqytrA7u7u5Ofns2zZMkJCQrj//vvxqSFviaZch7rcJES0WVkUb9uG++jRKLy8LDv4RsILJ8HZcrw23m1wUdqW7M5QoaNkfzpOUd44NLOexqN6fvxnl6ymapPf7c77iOrSA/2U59gSZr6w2RxXc26nhiIIArrKpGbv3lt7+gsvr9707bObLp1VeHtL3kSzZ8+22vZ624GLi4uFy+O071YCkuqjYGMSpQczCJjRFaX/ja1sRb1IzremnZuhXIuoFxHkpoeuXq+nuLi4RrVWdfr03sOBgwMAiGj5Jq0e68ov70keUDNW/97odZNtRdQbKI/LoXhvKsrg26+Ajai2TF6ouXSJjDnvEPbtN1Z6NC3/+h2BNeoSArkaHZ0OnKWkyDwt8Y+vPIdOqyGyR29Urm7k5+ej05nnEvF1ULCgTajZDyRTreVYYSkXSyvqnNv0BKl2QpUQWBYjGRU3btxIfn4+Dg4OTJgwgdTUVBJqyWTacWgo4TGmrKViRQVZ783lYu8+5K34yXon7xbgZFnnYGjYUA49bFvpQ0OJlqKtKZTH5dTdGFj01HiuxEmuqcGt29J64FCizpzmxS3LSZ5/Jx+Oadr8Sr0jfPj+8e5MrGbXsIZC4YpK1cwoBEDye7cW6frKK6/QoYOkyrr33ntZt24dly5dsmgHULI3jdKDGYDkwVRf9Ho9ZWVSuU9DmZa0N809cAylOtLe3EfqzL1oUqViRu+99x6fffaZTeOrqrn+BgXfQ1i0yVPqVgkBAHViAfm/JqLPV1NxNveGxyvevp34qLY1qpLri+a6XbuqSxfaJsTfEiEA9h1Bg/BxUJA5uBNajYZR01/j6Po13PPyG+g0GgTANywcjUbD559LhT9mzpyJk5PJeFVaWsonn3zCww8/zElXb56Lv2K8ljm4dvfAAEdpp9HH05WVHVoiCAJbtmzhxIkTgKRqyM7OrlcQHIAiIIDQrxeTv2o1QhN44VRRVXykKmW3NZ5dspqzu7ejnTWbwjaR+IebR6Dm6gpZfHwxa86vYVybcSTPbzpvmm2p64n0jMTM5/UGcXFx4e6776a0tJQNGyRvqchI677iji098HumA7kr4s0+s5xlZ1EGu+LSPRBFLfmdPvzxQzQpGkpalPD+kLfNrsk9HPCeEIXc3ZHMj46irzS4+vr6kpOTQ0ZGBkFBdcfA9O27n1Mnn8RB6U1qgpQdd+S0l4zX8zPT8fAPQCar26CflVzE2vnHmLJw4A1F0zq29iJ4Vi/y1pzHIeTG0zPorpkWLiX79+Pat69FG622kIuJ75ORsZbevbbh7NzCoo2o05EQbbl4CZj52g3P8UawC4IbYM/evSQmJjJlwRe1tlu8eDHTp5vy6MTGxmIwGFixYgVtJv3HeP7BACsqmevYmC3p9d+KCDauuA4cOGDWZvv27fTvb5kquTZkTk64DhyI68CB9epXXwxl0g6pYEMSrr2tV2NzcnUlqu8ArsiUeJw8R/aL03GKiUbu6YnqkbGM/X0s18qvAXB/ZD1zCdWD1/a8xqbLUmGVAxMO4ObQePlelEoljz32GMnJyahUqhqzhjq28GB/fjEOz8fQ3UNSv+nyKqiIz6MiPo/i7VcImV/z/9o30pf0lHQ8DZ44hLoRMr8/+hINOUvi8J/WCUEpw1CuQzXInSzlGsKZyj333MPmzZuNO4m6cHIMpGdP6XM6t3s7AEnHD9N+4FD+XryQuJ0m+8q9/51FZPdeVsfJSS3h+OZkAOL2pNFpmPVCNHq9QSogVAuCIIBCwOeRxlnBe40fh+vAAeR8tRjHGoQ2iBQWSrYqeU0BY9fVfmj2+ee4j2hcG1tD+Nd7Dd0IoiiS9vo+ZM4KHMI98HmsrcV2eP3WfRzat5uP3nnT2Oedd94BoGPHjnQcPIQ+sdI2cWqoH29HWrpRVudUcRlvXEhlpK8HzzeXgrcWLFhAaankczx79myjW+Ltir5Egy6vAsew2stpXn5gDBXnTAV+fJ5+irSJQ5m4eSLh7uF8e8e3BLrUr5xlfTiaeZTLhZd579B7DA0bymeDbVOXNDY/puWwNiufjdVKf1ZcyEebVYaj81UcxEobV7cnjNcNooGOP0pqmijvKH65+5cax684n0fO92dJ6fEeve/7nSNHYvnrr79QKBTMmlW/3VZxbg7fTHvc7Jwg80A0lAB6XvhxLUpHc9fOzEuFnPg7hcunTKtu/+ZuPPS6pZE8JS6XP744hWeAM11HNSeqV/2i9kvy81A4OODk0jR2A1EU2bFTEhS9em41pseoji4vj4Jf1qJNSyPo3XeaZB7WsOcaaiKqHvqGMh0V53JJffkvgt8dahbxuz/fFb/uJuNn9ULqAwYMoH2sSVf41dVrzK620rdGjIsD/y2+nwDVncBHAGZ66NzcXPz8/GrobRvVS2E2BXJXB5uiolusX4coiqgvXCD1hRdwGzWKjn5t6eLfhRPZJ1h2dhmv9ah7S61WqyktLTXT39tC98DudA/sztg2DS/h2RBEvUjR1mSKd6USNKsnX1+9RlK5mstlalo4S2ogp9ZeOK0MN+8Y1gucPME9iPN5prrACXkJZJZm4qJ0sb6rqSwR2fzIW5R4Z9NrUC/KysooLy9nzpw59O/fn6FDhxqbFxcX8/fff/Pggw9aDOXm48uM1b/z6fi7jeccPZ4CoOuoYMqKRDwqv54ZiQWs/1hSaQZFmBvLa0pnXlUAqSCrzKxmUF389eVnnN29rXJsL575umF1qetCEAR69tjE1dRlqFShVtsovL3xnTK5Se7fUOzG4huk2Qf9EBxkiNqLlGyagXBdYNMnYzsx8y6TTrB68Qxvb29i+0hJtOL6RvNS8wCOFVnfjl9OXsT2HRHs3NUGg6EChdK0mh482OTOuWjRohrL94miyPYdEWzfEYEomnuulOkNBO08ybAjCcZSmH0PNV4sRUMRBAGnNm2I/PtvVO3bIxNkLBu1DMAicM0aBoOBDz74gIULF/L999839XQbB4OB4l1ShHbeygS8CyTdfe/D8fwvJYvS6yOWvSp10V/2gk+jwGAgxC2EGV1nGJsMXzucPqv6sPhKtkXNAsdwD2Su0g6y6K9ktu+IoFt3f+PDPzjYXIVXUFCATCZDp9Oh0WgsvKAqSoqNrx1Uzjg5S3aD45vTKckzOURUCQGAe17sxLOLh3DfjM74hLgyakrlb2bLLNgq2Tae2fwqvX6agl8LSZgFtKh9R1mdKiEAcM/Lb1pcX34ohawi09wKyjT8fOwqH2yO59RV29ysq3B1bUPbqPeRyW7fXfn12HcE17Hug7eJ7NaTjsNtSzYnCAL+z7QgcYiUq17maC4IckvULDuYwoQeoQR5qGjdujVvv/22MZ2Aa2XUavT+OO7y8+ABK3YCUTSQm7OT6PafE3f2RQBatzJt2avyIW3cuJEpU6bUmJM9K+t34+sdO1ubGbRa7pFqqMZX81x6v7V56P/txNIRS2nvU3dFs0WLFhlfNzRdCJoyQAQH21xkbxRBKSdkfn/UV4q49uUpvroEfz7bhrcT05l3KYPHq2pUP7IWfnoQ8q/zJvqyF25BHXhizHc81u4x5IKcWeeO82NKPHOS0nFXylmVnkeZQc/27lEIcoHgWb3Q5VVQIjsHJ8DRwQ9HRyerTgehoaEcPnyYuXPn4ujoiL60lDFr11Hk25quO9ejrlRTAjz/gykqOOtykfHhfWiDeTnYKsNws9ZejJ/VA0pzYEGlk0CzbmSXZbM/ezOCG1y+cAVXvHDzsT16ePjk54jd/Ds5V1NI2L+b4Nbm2UIPJObw1m9xvDAkkoU7Eln6eDdeXSv9Jo4l57Nuah+b7/VPxC4IqnHy7z9JPnkcmUxmsyAAECr18b7TppmdF0WRpfsvk5htnl9IEAQO5xw2ZjO8PPIQ19wVhDo5WFXHCIKMbt3WAhAQYL0WbZcuXWpNkGct9/vBQ8PM6jM/FOjF/9o2TR53Q7kOXYEahyDTw7S0NIlDh++oXynJSroHWg+yMhgMpKSk0KJFC3755Rfy8/N57rnn8PX1tWi77oO3ybqUyLRva3CXTTkAZ36BY0vRAso5hdbbNRGOYe4EzuyO3EXJRJlAud5AuMoRN0XlYqPVcJgRD/sXwuGvYPhcKdPtuqcg5zyM+Q5FZY3mee27Ma99NwJ3nmRGwlWr91N4O3F8x0MAKJW1q9EeeOABhg0bhqenJ188s50dg6RkhFEFGjwDg/ALC8cn1Py7VH0F71gtStvFWp3rqngV/3Yw5jsmbp5ovFSkysFV40V9vjEdho4ketBw/u/he9FpLH343703ms1xmSzckQjA+39W1h93c2TppH9e4af6YhcE1fBvIRl2Lp04inp+GxwrMqHlYHh4DShqdtFT+PkRFX/O4rzOILJoZxJP9A0nyMM86rGDnyklwoUf9tLxtZHXd280DKJIoVN3tBUp3NNnA1pRx8lj99G50w9m7X7JzDcKgrQKDasz8ngqxBdP5Y19TUSdgfR3DgKVqrTKh/6hwzfuLaEziMgEkFWOefDgQbZu3cpTTz3F2bNn6d27t4UQqDJo9hs/keSTx9HrdNbTIHwvpeqYFuDHXmcVv+YnEuEhCVShPFdatXo1B6Xt9anri8JTWvWqgOnhVgzj7sFS9OmoasWLYh6EGtSDGYM6UqTT025/HL93bmW1DUBh0Um8PGt+AMpkMjw9PbmakIdQ+UhWOsmND/WJdXjSdb4jjNB2Xjg4KXD3tfL5CQK8eBrkDuAexKeDPmXcH+OQGeQEF7YitK1Xvd1LZXJ5jbma/NwcUcgEHu3VnBeGtiK9oByt3kDnsLo9+f5/wC4IqhHcWnI1C3UukIQAwKWdMNcfekyB0R/V2NfailYpl5H0/mjkVpKWVTfaHRZj6SCOsDqGKIqcvzCHsNDHUSjccHCwXNleT3xUW/xfeQWfp54EYGlaDrPUM0GAFw+mA5A26DDyavfr4+nKgYIS/s4ppJ+nK3eduMjYQG90jeBUljZLMpC79mtGwv7d5FxJptdD9xmvW90N5FyEPQug5xRQOoO/yQ1wf34xMy+kUqDTc02j424/T76NDgdg7969ACxZsoRnnnmGgADLEqHJpyTd9L7VPwKQmXSRZm2suBm2HAx9nmfvfsn1d+fVnXhv0VMWm02IU+XOzCMUXooDJI+Ugsx0Qto2fh6pelODelAQBDyUClIHdrT6uQ8ZnEhe/v5ahUAVOoOOXdpNDHyxF8d+yOTelzrX6+HsW5d/f2W6DVEU8XKUHsie5dL/s++DNQsxa+SmXmHTF5/w8NyPa6zpkPi+SQvg7fLPqPrXWNgFQTVEUWTCewvYOtek4sm5cyW+fz4Mham19KwZa0IAQK0zbU//F7SSSYYZOMqt7zoMBjWJiR9yLWcr/foewtGxZq+gsqNSAZjsBQvIXrCAsLNxtHMxX3F9GhVqJgQA1neOJL1CQ3Bl1a2jvdqhsDHrZl34v9iF7M9PkBB/jJTyLMoLL9Pt/uEADBxw0rzx+c2warzp+PQaUDpz6q6/+PXXXzlx1wSOFJebdXlQpubs2bO0b9+e6OhoqtyL/f39rT7sYobcQcyQO8i4eJ7SwgILfbFoENGmlZB97mV8erTnpa4vcSj9EE/HPE3m39e5Lj9jitQtyc3hStyp20MQ1EFNqjhBEPDxrju3jSiKDPtlGLkVUtTumQ+tJxzUaDSIoohjtWj98jNncIyIALkcQS6vM4Dx+R3PsztVygmW55KO81Op+DQbUuccq9CqK/jhZek3XZCViU8z6948DUE0iCAAehFkAkIj/WZuNv96QaDVatHr9SxZsoRr164x7XGTLpL7vsK3053QvfF1w64Oruwbv495h+bhrfKuUQgIgkC7tvMxGNRoNLk4ONSuu1V17oyqUyfKT57kVP/B0D6a9gcO4KtUsCymBTlaHcN8rHtbBDs5kF1UgVIuw6uBKyK9Xo38uvci83FkQ4EWfXYOMkVLJrz9BCqVK4MHxSOTXXefKg+YamyN+oAjf0hb+ghRx1VHJcd7t0MmCGaZPH/55RecnJx49tln8fb2rrOQuZ9/OAHNZBYPxbQ3TA/33B/O8sT7T/BktLS78vtPDDKFiPhNOMIjK0FlyscTGNmawMjW6DQaFDUEiDU1BrXaIkVKaUE+i6dI9XEbJY311aOUZZ2B0mzcECiuIbhLFEXef99UXGf27NloEhNJfsjcHbeuTL8RnhHsTt1N/2b9mT9gPu4OVr6/6Sfhm4EwK9tCjZt+ylQ/wLv8AtB4gqD6dwVAGeSC7+PtQaDOms23E/9qQWAwGJg3b57ZOSdXN3LULmRNOkFAC0sDa2Pi4ejBRwNrVjdVRyZzxMnJeiRudQSFgvDVqwBoXVLKtYWf4+HtRVw/23Sdr6w9ze4L15jQI5RnB0ey/FAKd3cIJrpZ3XVg8/IPcvHiPHp032BWXMRQ6fAtd5BW3g6qCsDVUggA+EdBp0fgpGTATRq1igObD/HKq1KajuoP94qKCtauXWvWfdy4cTbHUWR+cAS5uwNBb/S0el3u7oC+SIM2vcSYpqBKZ8+MU1b7lBUV8v1LzzDtu5U3NdeOKIokDh2KLj0DzZw32fbramas/p2zu7aRdPyIsV345gN82a0do/3qTihnQUUhnFwFf72GC7AL2OqsYk5oBLHZscT4xhiN0yAtYmJiYlAoFMa8S3IXS88rTWoqDiE1e6i91PUl7gi/gwiPCJwU0uefX3AUJ8cgU1Ebt8rAMrnld6p51z6EOhdwtcwTIfM0RA61aNNQVDG+qJMLMRRLLr7ajFIyPjB93t7j2uDc2bb0JHp9OaKos62MZSPzr44s1uv1vPeeqeDD888/X2O2ToCinHKcPRxQNFERlNuBo8l5PLT4oMX55Pl3ojeInEsvwkOlJMzHMgumXl+BWp2Js3O4xbX0C/Gseus1BJkrL/20AqGm1frqRyChctX6RjoXktNYuVLKxDlr1iwzF9D09HT27t2LRqPhgQcewMXKQ8YaWf+LRZsmeXKpYnzN0hBoMkrJ/vyEWXvnbgF4P9gaW9CUl5GWcI4Wna0GcDYZyY8+SvmxyvQGT07ieHEu/SdMYs07M83aLZjyHhOb+fJRmwasir/oDjkXLE4bEACR4pkpeDjZJmDKT54kebyp9GpU3Bmbc1xVqDPZv1/K9VPd661WLm6Dn8ZA50fh3kV1t68nuasTKD8ppT1xau+DzEFOWWw2gkpBs7d7IxpEDMUa5B417xKqPPt69tiMq6tt37f6YI8srgG5XM5jjz3G8uVSlGF1IVB68CCOUVHGlMy56SWsfleS9JHd/Bnx9O2vB24IXa14SWx5aQA7z2fzxPdHjeeS599p0U4ud7IqBEAyxM9YvaHuVbJSBW3vgbE/giAQUm2lWL2vRq/B3dedcePG1fGOLHHp4k9BWgneD0ehaif9z/XFGq59e9pY7rAKp3Y+uA20PZ7CQeVsIQRKdXoEQcC5mgpFFEUqSrWoGqnudJUQAPANCmHCqzMRRZHRz73MpuDWfHI5A1GQgSDwYUPjQ8atkFxq/5gOr14GZ2+4cgjZ5T2wcx4e1+3w9KVa1In5KANcUAZKQrqwTIurg5zc1cW43fcNZXvfQp+bVa9Eh3FnngOgS+ca3H6tUbXwiF1xQ4Lgr7hMIv1difQ3T1HhMz4K3fDmyD0dQZBsBV5jWxu/s2Unsslfe8HoNVd0LRt1eRnuvn44Okufja/vMLKztnF471MMHbW3wXNsCP/qHUEVcXFxhISEGPOvJ40YiSYlBTDpLxc9s8Osj7GI+z8AgyiSUFrB8aJSBAQeDa551wNwrVhN93mmSMyE90YS9dZfxmNPZyUnZ9+Y62eRTs+WnEIcZDJG+XqgrMHIZjAY2LBhAwMGDDAT1JO3TOZgxkF+vutn2vrceGKxrC9i0aZKuwRBpUCsrNXg0jsIr3trSjJWN3pRpNkuSY30W+dIenlKD5BFz+xARETVIZ3+w3rSunXjrACr0iS3TYgnU62l04GzZtfrym5bJ3ot7JwHA14Fh9prI2QvPoUmuYgSRGb6w8lsKeL47ZFRDPxyBerTq/F66l0CX3moXlMQRQN79nandeu3CAq8r+4OVWjKJNWRvGHr323nsnj6R+nZU1fFuusRRREMIoJcRlFONt8++6TxWli05Erepn9H4vauw8OnDXdOu/HSlNdjr1BWB9HR0WZFOLwelrasgkpFye7d6PLyLPqc3HbF4tztypdXshly9DyvnE/lv+etBxNVx8/NkdWTe/F0vxYMbxdgJgReGBLJiVnDb3hOrfee4bn4K0w+m0zXg2cZdvQ8hVqdRTuZTGa1wM7BDEl9Nf/IfIs+trJt2zbSKitC+U/pgPfDUYTM70+zt3sTMr8/Po+2xWNkeL3HNVQurvSiyLykDOP5+2ITja9FQU+5y1WuZicZVV+NQVBl9bOrF5MYvukUHS9V8NFlGX90imRvj6g6etuAXAn9X4bVE+CapZqoOppkqei6Cog+utN4ftKAlohlkvqt7OCmek9BEGTodAWcO/cyen153R2qcHC2KgR27opm+44IiosrjdYpB6QgPYOBzWcyeHWtJMhDvFU4VO7q1Do96rIyKkpLLMazPmcBobJvSZ6pPkK/8RO5Encan9Dm7NVG80bpJEZPfdf299RINJlqSBAEb+BnYJ8oinMEQWgNrAe8gb+Bp0RRNAiC8CzwOmAApouiuL6p5mQrbsOHk/XBfMTycq5OeQaAIQBLttO2bzDpFwv49ZMTKBzkRA+oPVvo7cCzYf709XJj1PELxLjWHfyUXVzBqiNXKCzXMnVgBFvPZQGwbcZAiy1xQ0kaEEPEHsnlcKSvBwYRNPXYnZ6aeAq1Xo2TvOFFysPDw3F1ckJ9+TLaK1csUnCrouuO2agio7AcHxdHfsnO52UbhG3vp735/XcpvmLixImWDURRCqqqgdzyXP67+798P9I8f5Ln/ffhNmQwR/bn8czf0oO4mDLaPRiFcwM9wURRpKCggJ07d3Lp0iWevqcPnpd2gbb2NNX+z3Ui+4uTyBF4JHY140/+TLtTschkAhF/bKD83HnknrbnC7JGXv4B/HxvzPjr7NyCp+OT4epYznSdA2srV+u9nyU5t8yYGaC1nwsf+8QS3qUn8RtWcuz39Qx45Am63zOmXverHsewb/WPTP1mBc4ennz7jVTc6cjlPHq2rH3X3tg0iSAQBGEy8B7SQ7/Kv2op8AXwLXAAeEIQhD3AXKANEAAcEgRhqyiKxZaj3jwMlblS3IYPw//ll0kaKUWYemz+EvrOJbiVtHvYvfI8fqFueAe7oHS8fQ3IgiDwfZpkyKrJdRSgy3tb+eqRLoz75hDNPFXsnympvw6+PgQ3JyWujo33dXGRy4nr6M/6QgMPhwYRufcMv2XnkzjAtiL0MkGGSnFjEb0RYWEkdJBSNbvfeWeDajHklqj5Zs8lvt5zieY+zqx7sb+ZIHgwwIu1WfkA/LdaZHDVDmfYsGG0bFktVfGxpfBHZVGXmLEw5lur9/Vw9GBap2lWr8k9PHBzMf2EOg4NxbmWQkB1sX79es6ckYR2s2bNcAztDDak23AIcSNwZg/S/yvlx5KLBrSpqThWvl9VuzYNnlOryDfx8RmIs7NlmueaEEXRwkZ1+fIXlJScA5xxMRgoXvcUbgAzEkAmZ+qgCKYOkoy4FSXFXDx8gIiuPTn2u7Re7XZX/ethBLSMZOq3P1F0LZvy4iJU7pJH3qrJvdh78ZpFFoKbQZOohkRR/EYUxQBgP4AgCM5AH+A3UUp7+RswHBgKHBZFMVsUxTNAKmBZ+ucm49iqFW0T4gn53/9QVMsWWrh2nUXbtR8e45sXd1OUU48t6i3gs6gwtnRrzeRQS9fKMo2O8Jl/kleqYVzlqiStoNyYpTLIQ9WoQgAAUcR3YVsmL2uPU6Uhr0RvIDuliPISTb2Hu1asJnzmn+SWWOaRqYmK8+fxHDsWVefOBC+wzY23Cr1BJLOwgq5zt/H1HqnMZEpuGT5KOZmDO7GzexsuD+jA/9qG8Z8QX6Y3D+C/LUyCwNvbG7UoJzX1ukDFM9W+Y2d+piYUMkWN+ZYAogeG0G+sFH17anvdO5Ta6Ny5s/H1wIEDUalsf1ApPB0J/eZLWh87hvs9d1P0RyPEMQBhYU/i4hJhs4vuz+8f5cupOynOMy8HGxT0AABvBZVTKpPRv3kIjwYFSIbw63D28OSu6a/Ruldfetz3EGExncy830qPHOHKk0+izc6ucz7O7h4ERrSiRaeuZu+hfys/qx55Tc3N8hryQoq/y688zkfaLfhUO1f9vBmVO4zJAGFhdacebkxkzs5ExZ8jZcLDOMWY0klPXjiQnKslKB3lrJl7hOWzDnLXcx1pHn1zt3S2IhMEOrhZ/4JtOZtlfH1nvQQORwAAIABJREFUTBD3dW6Gq6OiafzgrxyGpdUMzQExKGQCniV6Clzl/PKBZIwLbuVJ7/sjqCjR0izKC2UdqQuqjNvnMoroG+GLzIYIz8y5cwl45RWcu9XP1VMURSLesK7bVusMOCnltK2mgnuvlaWXjuCgYpW6C7suO/Hzl/tZP61y/dN/BqRUC1LSayW9fAPoOCSUDoNCSL9YvzTK11PdZdds92IjgkyG3NUFvxdeoOjP+tsEGgPvYBeuXSlGrjBf+zo5BdOl80ocHQMY6xyORq9B+UUP2Pwa3G1ZiKhN7/6snfcW/i0ieGjWXLNrVyZOAiBxwECa/7QC565dm+4NNTI3SxAUACKSQMis/JsP5FW+rqLqvBmiKH4DfAOS11BTT/Z6BEEwBmlVoXSQExThgSiKuHo5UpKvJuVMTqMKAq1WS0VFBW5uTRtg4uPqwMM9w5h9VzucmjpGwlDNINx6FDy8GoDHtxfx2b1eGASQiZB+sYB1H0kukSOnRBNRQ1DO8oPJvLXB5Bnz2JIjfDuxG8PbWeYYup5mH31ktuOzhbSCcsZ9bRlnAfD5+E42f34bTko5nzIKK+gT4Ytap8dRIZfyG1Un4xSENDwmQZAJNGtzY4nTgoODGT9+PL6+vg1P5Q04hITcsoIsgx+LIrStNypXS6Hq5WUKKHSQO8CYJVBkvlMziCL3xSbirpDT+XQspUWFDHj4ceN1fbG5NjtvhUkQ7F+6FOHPTXT75GMcwsMb7001IjdFEIiiWCoIwgHgbkEQlgD3AEuAPcD7giD4IVUHD8FkU/hHIAgCAya0YdOXp2lTz7J5dXH+/HmuXr3KqFGjGnXc6+nfyo8+Eb415kVqVML7WtUvPzWjGyPdBDoOcqHwWjnnD2XSeXgYeRmluHnXbBAu1+otzqlsfBg7NK9/yu0ytY7UfJMaMCrQjb+mD6j3OHfGBPHRXwkUVeiIaeYuCQGQ/N0f+xWWV+qev6s0hL54CrzC632fxkChUBAV1QgeRzeJMr2BxLIKsx2wXC6jTU8by5qGdAXMV/NjTyZxpFCyHWYNvI/XRo0wuy53c6PF+nUY1GpSJjxM8ea/OL93H6K3N95XJA/DpJGj6kynUZ0SdT7TTx1gQYd+eDnVHdl/IzRpHIEgCLv4f+ydd3gUZdfGf7Ob3fQe0iEJCTUkIfQuTboUC1VAUQE7WMH2BisW7CiioBQLKlJUQHpHTGgJhAAhCem99y3z/THJbjbZTTYF9P187+vKde3MzszObmbmPM8597lvOFyPNeQM7MWQNbQMiTW0tCnWUFv2EVw7fZKd77+JrZMzD61eb1KV0BzU9hnc9VxvPDs2/5+WlpaGt3dDm0qtVtukZk5rkZJfzj1rTrHpgX508ri17e3p6T9haemOq6tUqK3UaLGUCc1KS/1xKZNFm84YrIt7bdxNm918/1cyy3+RiqfGGuvMRWF5NRlFlXTzMlLAj/4RfnnIcN0t9kP4b4PnIUMBwwuDgvGwbPyezkqIp6q8jIKMdMJuNz7gqtRo6X7iIvv7dGFXTiGT3Z3oYG26Q7i2l6M+vFetwnGi+T4nd53axYlKb+4V1/Offo9gb9e6YPy3dRaLoji8zuurQIN2XFEUVwNt3/NtBBqt1OG5/8Z+xviPQauVRpNlhQVo1ZpWBQIAn85OWNkpUFVpmsUiEkWRXbt2MXbs2AY1kJsdBADau9jw9f198XO9NQ5cdZF0Yw0VFUns8NjNj9kSHbGbrRWHmsF5j0rS93l09bRn95NDb6rOz6x+Hejj50x7l9YV9ZxslDjZmGDz9LgL2nWBL0captP+ASjOrWDTS6fMGvRoNOVkZu7Ex2emwfqKkmIqy0px9mxaP8scVBnxX1iTks1/gozTu/PLqrGztGDz8iW6daYCgZVcRkINm23QpT/56bkvuX3hY4SOMu4h0uXcWYp+/RWlnz/lZaWsPnoUgOdHjjC6vSm83b6SIddgs7CAp4qjWx0IGsO/SmKiz7d9UNfcVIc9DtO5v56gpLBqOR8dYP6y3hR+EU3sW5Gcq9Aw7elwHN1tsP3AHSa+D30fMLmvIAjcf//9rcq/thZGR6W3AL4+s8kvvsSPWWU63vzlskp+yMhjSVwKB/t2oYutFaKISVnsh4Z2xN/NlotpxURM7t5kEBC1WspPn0bUaLEbYpqkpilTIVZpsDCSmrrpMyeZHLzC4JU8iPn5HxUMNr0k1UhO/hLPnc80XhA9fEQiWHh6TkYulwJnRWkJXy9dTEVJMY+s+x5ru9b/lldrLFbHujnwR67UP/F5Sg5L/DxwrDFWKq5UYaOQE/TibgB2LzJ09FPn52Ph0pAtdCE5g/d2fIpgPZwLCSIzBQVnft9hMhDIrK1xni4prNoC8wMC2LBhAwqF8YHm6cJS+jra6syVahHkeydn3Kr5NiMPD68wM3+JluFf1Vm89va1utdbr21FkMmY88b7AHz24GxUlZWmdjWJiiv5pC47hqyoCpmdgly1NDI5te063zx/HC0KyIlr8jiNBYGPD1zjXHKDGvrfDlGrJXLnVipLzeuuNIbf86uZd2Y/MUN6EF6T03WykLOkxk5xZOQVfA5fwPfIBW5UGKeGujtYMae/H2/dGaLPtZtAflU1cd2DSb5/ASkPPkh8uen/ef53l8l8JxJtuaqF366NEHI3hM1sertbAFGrTyVnxBdxLSqrka3B10eSv64NCABXTx2jokR6WP/24dttcl4h9jYkDgtlQ0hHHvBxo7+jLX8O6KYLAgBj3j/KfTV6WfcN8ufoO4aCfB89PI9VMyax5zNDttCUz85yLG0QR+OrKdIqGLNgIflpxim5exL3MOu3WQbrAgICiIiIMLjHRVGkWK1BFEWmnIvns2TjlFMfKyXPBXg18A9pa/xrAoFKo2JT7Cbd8u1+kkyCZ5Ck8VJRUszH8+9Go27eTV96XJIoEKu1OE3syPCpgTy6ZiR3PdeHMQ/2oGjxDZjwbqPHEDWiwQ1WHwM6urY6DbH1nShWLz7IL++eITOhCFV1wyJrc6GqrqIkP7dZ+3wV8xWPHngUgITCBD678BkiIu2UCnb36UzmiJ4Uqo2fm2tjlpmVReSvCSTzwH2Nfv6Dn2/UvR730Tf4WJputKr9nwj/4GbB+lg1YxL71jZuE9lSpF0p4LNHDhms2/vVJZJiTF8DnTq9CEDnzv/RrQsZqS+0Jsecb7CPKRyMy2LJD+dMvm9dI+HwRmdfdvTqhH9NHv/EiRNERERQWFzC8fhcYl8dS8TkYMY+rE8Lyercf5eO7Dc47qww/UO/e8llDq9bjdK64f2Yk1JCflIlF/MuNvldKrUinY/F4FWjQ/V6Qga7clpH820N/jWpoTJVGYdSDqGQKTg9+zQKI9zsR9f/0Ow6gdu8YLI+OYdloFODFEKnPk1TGCuvFZC7TrpwvF4egNy24ef3C2jcjMYc5NYIqmVcL9LRMlsrnKe0smbkfYvM2rZaU03vzfo0QpWmiik7pkjn0fNRg23PDwpm2dUU7vF0YU1yDpHFZSzx88DO2Gg/MwYu/gLH3+fcMDfgGKa4IRlV1VwM7MLjz0RwMVDqarU2ZaqiFalOlEatZX9mYDfYeK65qrwcpbV1m9cktNrqBn4NdYuhXwX7M8nduORz9IE93L7wsTY9H8BkPeD31dF4d3Ji2tO9GrwnkykICnweO9uuXIt/C4WFIxYWjoQtvMyFtd0YdM8csz47IaeUBd9IJJF37wlDYeL/Vh9nzpxh3759AMz3K+aLG650f+UPklZOxD80nM4DhnD1z+NI7HaBWa+9i0s9B7PRHu8yegw4Ow+ke+c1VFfMw8HNkHYsiiJHv79CfoI9EV3WN3le5ZqGNY0F0VfJHNXPrO/V1vjXBAInKydi5je001u/RM9rzktNMe5dWwNRFDm3fSquTsPwG/E0AIJChuu93ch8JxKPpb1QeDSv4CrUuaBV6aXIO90cs2wXL1uybxhynY213N8MpJSkMOEXQ7ZEn8168sL84PkG73laKvgmRGpcmtiYgUr2ZVgj2SqWW0u/o6Xa9Ojdy1KJSztXLtbkpB/v0EgPgSii8LVDlVqKhYfx2VjCuUi2rVyhW578zIt06jvQ9DHNQEVFGidPDUMut2XQwIMmPap35hQ2CATxUZITl5NH29KYayFXyFjw7hAOboojKdpwFtBY05qf30JEUaS8IpH09J+wsLBDqXRmxhvP4uVvnpBArYfwZ3N6mR0EAM6ePcvcuXP58ccfER28gGomhep/nzuWSukhUa1G1GqRGXGWGzXyOgUFp7Gx6YilpR1Wtg31tj57WJopCQhkXilh9eKD3DarMz1MSJhP3/cc2Og1ptolz+WVga8A/wsEfwvsnF0pyEhn5P2L8ApqXAr4p1U7cO11kZLUS3TQLEGQSw+dxMv5WIsi2qrmp1ss64yyrMwIAvUf3qIoErpRYjREz4s2+WCvHwQA/tyRwMCp5rmwaauqEGQyBBMFr8ZgyoazFgpBQXV1NUqlksuXLxMQEICVOcV7S+mBnuxjxbVA6easstA0GuD+HNCd2NIKRkZe4ZPkbHKq1XzYrWG3uiCX4fFYuJEj6FE/l+zgap4zWmOIjJL6B3x956JQOKNSFZCTcwBv77uJHdKDErWG/n9eZmdWLmuD/Q329Q8NR2ltQ/j4ya0+D1Owtlcy8ZFQcpJL0Ki1uPvZcy0qW6e/ZQqCIODjPQMfb8k/oqIiGSsrXwTBvIe6k43SgKobmRnJgj8WsH7s+kalNubOnYtCoWD58uX4L/sdQKcdZHB+FhY0NiSq23RmLo58f9VkIMjO3YezxSVEQYlClUTUvVFN3ic3E/+aGoEpTP+PJNubGX8Vmdz0aDI76Rp5Nz6mLMsK3yP9dEFAFEX2fX+VnUVqLDsYMm8SihII2RBCZGaksUPq4LtyKL4rhza6TXFxMa+//jp79+41WF+u1itAmnr4XT6ZbrA8O0K6qM/uudHoZ9ai4uIlroT1JC7EtCBc+flsys4YLxy6WetHtb3cezG8/XC+GfcNs7pKRbVLFy/x5ptvEhERwZYtW1i5ciVVVWZoBjn6wiv5JHY2HAFnZPzU6G7d7azZFh7EKBcHlK1ooqsoNuT127m0vqu8S5cIAG7cWMPBQ505eqwPGZlSa42LwgIfSyWKyjjapdzPk4eeZkvcFt2+Fkol1RXlHPrmi1afR3RqIS9vN53rbtfBHs+OjshqGrUaa/ozBmvrDmYHAWP4Pk7q9D+bdbbR7aysrJDX3KuXVki1icB2baOgm5eXR0REBCqVCv/QhjO3Be8NMbnvubnniJn1OxdnbiNmfszfGgTgfzMC8tOlYm/ssUN0HzYKv1Djxh2Onm6U51hzbXsAPZYtpTArEztnFyyUSg4Ffke/5IlM+GUCY/zGsD95PzeK9Q/Z0mopPx+ZGUmwazAKuYK0kjT8Hf0NPqMwM4N1T0pNRE9u+sXAAD0/Px+1Wo2NkzN79+7l0qVLFBUVoUXLjGEzmNtnrsnv6OiuT23MWTEAJxOpDlMo3LKlyW0U3nZgouAtE2SsGb2GxfsXczb7LOfnnkcuk9Pbozcv9H8BrVbL8ePHycnJwb6wK1aV7vz2STQj7+2Os2fjqTZREFBrpNlOn94/U16eqBMSawwDnewY6NS6B8LQ2ffh0zWYnKQECrMysHVqfVovIeFDXFyGckUezqaLX7DIrYoO9vr2GwuZwInh05jy09scTN7LweS9zOiqd2l7eO1m1Krmi/bVxbWsEiZ/egIPB0teuaN7g1RMq1KKJVmQeARCp7M7JoOHvz3L3qXD6NwMOm50TjT7bkh5/wUhC5rYWg9bSwujDYBajYaTP32Htb0DvSdOMbpvbm4uX375JSNHjqR9+/asXbtWpyBbUFCgIxZMf6EvTh42WChljf5Gdb2d/wn4Z53N3wAnT31p8eDXa7j/gzVGt5PLbEGU/rFu7f348tEF+PeaS2ZiO0YwmyifPUwNmoooigZBYNe0XUzYZrybUFezKM7gr1+3cmyn3gBGrao2CAReXtKo98DuXaQ5uuFTJI1GZci4t+O9+Dn4ERERQbdu3Rg6dCje3vpGHe8gJyY9HoaHvwNWNcVoC0s5ajNTWYU/6UfYCVOm4rF8ObYDDKfKCvfGg8tgn8FsHL+R7PJs5DLDmZdMJmPGlHlseT0Sp85qCq9CZnwJP7z+F4s/Gd7oDVVRof+tHR3DcXSU0jmiVgTB9CzJ6PfcuhWZrS0O44zzw+uj35S7ARqtKzUXfftsJbeyhHlbxwJyXky34VB/vQtXcXUx7516CbWoJtw9nHPZhiwaG8cWmNLXQ61gX1ZxFT9GpTCnv16Kw3/Z7/i72nD42eY1RwFQWQSrOkOnsRA6nV5+UuAc88FRklZOZPu5NEZ1c8feSrpGE3PL8HW21gWi8mo1XxxJYEy4dP3c7nc7ClnrmkABSgvyOb1NGuwYCwQ5OTmsXi31vO7evZvQUGlm7OvrS15eHuvWrWPx4sVMcr65XP+biX99INDWoSqOXLDY5HbZSQm615uXSbSzPhOHUpil4fhP11j/4tsINTfQorBFXM67zPTfppsMAt2sNGRn78HdfRx8P5MOCfGAPidtpcoH9CNWZZ2g4NerDy/dNoCqqiqUSiWCIJBf46ImXN6B9+WFaPouQj7uTZ0jk1+wYdpi0Ufma+9bdu1KVZzUC+H1+mtYdmmZjny4u+mcu5OHDeMW9aBjz3aoqjR8ueQoWrXYlD8L1tb+RtdXXs4nb1OszjzcHFj1CEGsMr+XpCqpiMq4AqpuFOO+yHjaTKMVm6XhZGFhz6xdhjn+8wXpjHboDkij8WpNNe427gZBoNb4fMTwOGStfDj61+kwf+23WPr6u/DzmVS6eNjz6pRgxgabqdlTHytrajHX/oAIRzyA16dG8+F+yels54V03OwsGdJJSrM89/MFIpMKSHxrAoIgYK2QY62U08kpiPNTjhF1fjcV6opW+1I4uLWjc//BXD19goPffNGACVcbBGqRlZVF165dGTRoEBcuXKCqqoqioiKcnduQ6FGQdEu1pf71NQKxpjW984Ah+IWY9nN1dJeooPe+9SEPrV7PE5u24tfDm7BR7Xl0zUhdEKhFkLOhz+0L/V8wWH609wt6RkjGeTytS3miywn9BvaGrfeCIPD888/z/PPP88JQiVlgaWmpG/HWWm2mIs0c5JFftNibtT46bt9G+y+kmVLSPdPJW9P6HHR9WCjkBIa7IwiCgX5+3KmMRvaSfpdRI68zauR1g/X9ooZz0TqePDGf8I3hhGwIQaVtvEfEqktnrEP1D/QqrZYfMvIYevoyL15NbbB9zppoSg6nUJ1oXAPonT1xBL6wi+bqeeVWSIycezrfw8sDXkalVVFe4wbmaOnImtvXsHKoZNHp5+DH5Tj9tVVV1XiDlzmoeylXqrSM+eAoa48m8PRPF7i3vx8eDi3swp+yGgJug/41A67+D3PvAD+iaqxP187tzZBObqSkpLB9+3Z+WjyIk8tG6q5xQRBYfFsgCrlA8d69rNn3OvnZ5lvGiqJISrHxRrCJTz4HgK2TIVVbozGcNb/00ktYWlqSnZ3N559/DkBISAj+rVQVjTm0l9TYmppMWR58FAapZxrfqQ3xr58RKKyseHpL02YZtk7OZm2nO65MQcz8GIqqinjx+IvM6jqLWV1nGc+vDlkKxz9AIdNyT4doLvs/0eAhfs+v9xCXH8f5ueeN6g/JZDKeeOIJXD4O0K+McISX89okIBTt2Kl7bRUa0siW5uOXrAKGu9jjUq9RLHxMB/76NRGAgDDz7SLr4pk+z/CC9kPUgkb3ID6XdY5+Xg3peWqtmt2Ju+nv1R93Gz2ltFitIbKojGvlVQ2a2eo/3LWVamRW0jY5JVW8v+8qO86nsW/psGbn09eMXsMfSX9gp7DjtT8lE/PNvV8g7OfFMO0LCJtJD7ceuNu48/moz7kaNRyAEcNjkcluXtGxdmTeFDSlpVScO4cqI4ND7brz1B832PHoYAK6zcAh/F5po/ENO4otalJA69atA+COO+7A28mavNIqXo1NwUlMZ8XuOyj0XE7m6u94ddBQvL0aZ/rVoqCygGFbJJVYY+w6mVxu9P6Wy+UMGTKE4OBgXXp2wYIFVFVVkZqayqZNm+jfv/mMorrIiL/C3jUf02v8ZHy794AvatRsvxp5y4QG//WB4GbD0dKRT0fpOz2N3ki3LYPAUWDtRAcbVzo4NBTiqp3+ZpRl4GtvnJLm4uICgx6n/M+vyZv4Ne3LY9psVuD93ru4zJ8HMjlWPYKb3F7UiKS9eBzkAq73diNvQywyByXa4mp83hqCIAjElJQzwNGW3YWFuCsV9HaUUhJyCxlZU08wxWkG1nYts1icHzyf2V1n88HZD9gUu4n7gu+jh1sDzUMAJm+fTEpJCv29+vPVmK9069spFbzV2ZfvM/L5s6gMz0Pn2RIWyG0u9giCQLtHwsj5TOoM1VZpdIHg7T1x/HwmlRcmdOV6TlmzdYkG+wxmsM9gRFHE09YTq9+focfPNaPobYtg2yKs3Tpz4DGJjZbl2Bsnx95tFgTq1vx9na1JLahgZt/2ZgWB1GXHqDy3EVWNuU43YLOVA1N4hWBvB9bN74uno35Gkf/jFVTZ5QZU3VdeeQXQCy6+v+8qW5w0gAPLBSWODhdRL1yI/aiRDc6pUl3JsbRjPHX4KQC2Tt5KZ+fOCHXIoW+cfoOXBrxk9u8xevToBussLS0JDAwkIiLC7OOYQnKMdA0VZmWgqq5C4T8YordAl5Yr2zYXN1WG+magLWWoa7EmKYOIxCxJ3iCrnG//8ydTlvQk+lAqI+d10xVY/w6kFpTzx5WLJKp34mnryaM9H230htRqtbz66qu0b9+eBx4wLXR3K1BxKZf8H68id1SizpY0/OVOlngtMxyVh5+8xDP+nszxluoYIRukGUdbcas1Wk2DAnUt6nY8LwpdxGPhDTtyY0rKufv8dYrUGs4M7I6PlT44lRxPwya0Ha8eusqGU8bpuK2RqkYU4eNwKEjUrwubLWnm932w5cdt8mNbxgzKXBWFKi2X0l2S73JuQDdUHQLo/cFKFm2OwtXOktj0YvYtHYaFXEbqsmMA+Lw5pEF6tRbphRX0++406m5OXDk+Ecdl8aDQ1wVCNoQws8tMvO28ySrP4tvL3+re6+rSlQ+Gf4Cvva/uulo3Zp3RmeGtgCiKJCZ9QmVlGl27vK6r5+TcSGTjc48DNCvz0Bw0JkP9r68RlJSUEJEo5VUfee9DyqqLCL+9A8mX8km8kMtvn174W8/vzI0C3j7+HTuu72Cwz+BGb06NRsPXX38NwDgzmS83E9bBbvisGIQ6V1+AlTs1fLBHDezOHG9X0krTCNuoZ15UqiubnV83BlNBAKRAEOQk1XOMBQGAYDtrimpIBfXFv+yH+CB3UJoMAiCpXrYYggAL9sCE92DudmndxFU3NQhIH2teEDh3/j4OHAxEo6kx65EJCEpblN0kplN7Z2tGfrEKRxsF3z80gE9nhbPpgX66NJDHEz041usSoZtCTf6vvZ2s+WNef+4oisIxcKhBEKjFD1d+4P0z7/Pt5W/5YvQX/D7td+Z2n0tycTLjfxlvwOR7YG8jA6SyPFC3jn7bGCor07hx4wusLL0RRS1xV14mJXUTbh386T1xKve+1dAe81bgX58asrOz4x11PtuTUnEtK+L4yaPMmDEDrUZLenwhkx77eylht3f3wCv2KvkqmLd7nlGZjFoUFhaSkpLCM888g52dnnEkarVsf/c1BJmMDsGhHNrwZYM+hZuKmlyD9+uDEeQNHzC1D9cKVQVOlk7M6DKDrVe38seqq+Qkl/DQh8MQRchZcQq5ixXtFoZiYSSgNBd7k/by9BFJKuTJIV8b3Sajqprwk7G6ZTcTwnePjghk9SHDgvVjI4KQyQTsLVt2m83ZNYfonGh2TN1Bx341JjX/MHMapVKaxQmC9B3VWVJRW5N3DbfHH6Pdo3odqdrg4ussUY1VGhXnJwzii0VKsGk8+ATbWfPl1AeBhgEwYmAEo/1Go5ApUMqVOo7+c32fQxRFNl/ezKRtkwD4cMSHDPcdbvxDRBHe7QjtusKQp6DbJFC2jUdHdXUep/+ahJfnnfQMW8/Zc7NJTPpY976nx2R6Tu7JmbNjuXRDzsgRV9vkc83Fvz4QCILAvNtH0v7QIY6kJeikYmVyGXc/33Kv2LaCjdKCtWM/5L49DxDqHoxW1CIz0ZFZ+/B/7733DHKXXz/9CIWZyTh3Kub6hj8BQceWuhXweW0QQj23MK1WS2JiIoGBgVRWVqJWqwlyDuLIjCMAPNLzEY58f4Wc5BK+XHIUO0clowTQ5FeS/clZPJ/pi8y6dZfv5Xy9bWB89jFS3D1ob28oOBZZJD3YnC3kFKg1Jj0Rnh3blSWjO3M9p5QuHvZtouEUnRMNwLHUY3R0bL5p/K1AgP/juDgP0qU4fN4aQlw3ierqMuerxnblvj/uI3qpBaDlCbEFfQk1uKvzXSbfe77f8wQ4BvDan6+xvN9yRnUYZfpA5XmIFtZovHphsW0hnBsK95lO05wrLmf8mRrqa5gnXS2ycXAwTiO+kfwl1dXZ3Eheg4NjKM7OAykoOIWtbSfKyq5x9JhesE8UW68M3Fz86wNBLQYPHsyRI0eorr5508KWootrZ07NOdbkdpaW0ijZpZ65RkF6Kh698vDqm4tTYDEDh2xttRFPc1A/CABUVlayaZNeFnzy5Mn06mWoXjlwWiAKSzn+oW7YO1tS9WsCqqwyNAVVpK84hU0fD8qjsvB4qneTDW3G8GSvJ5kYMJFpO6dhqTUumnZHO0e2hQfR18G2YRCI3w/WzuAj1RgUchldPdvO4OfBkAf5KuYr5IKcG8U38HNovsfyzYaNjT82Nv66ZUEQ6Pjbr5QeP47cqfHmtg3jNvBeNn0rAAAgAElEQVTg3gc5k3UGl3YN9Z7aCtO7TGdK0JQm600aa1fGWqzn+l8aEq2+g6riRre3rjO7fe38NqbbJTC3n15yXhS1ZOfsISXlG4qKJCpo3z7bsbcPxr3d2JptRLKzd3Hx0hO6/epToW8F/lcsroOqqiosLCx02iT/jaj9f9YdkUb9+gtFts/qlkeOiL8lqqNN4cKFC2zbtg0nJyeWLFnS6LaiKJKZuZ2czP24bDE0afF5bTCCQj9LqriYS3lMLq6zmrb2qyvad3TGUZytmtEUFFEjGHiT0jXnss8xb/c8g3UOSgdOzDphYo//TkzbMY053eZwd+e7b+nn1i2I1wrSASwY6Msr52oonE38b+v7JH8b2pGLxeX0SBxMx4AlJCR+SFjol1yLf4vy8gRGjriKINSfHVdz6LC+O/1mBYK/zbP4vw21I2q1RosIzZK71RQWoikuRtnh5o1szIGxB3yfO+7ko/vWYu9bRu87xvwjggBAWFgYpaWl7Nu3j3M38pn2+SkuvzoOa6X+RtFoKjl8xJCumjNmD4O6/AVFknpr3SCQuzGWytg8AMTpnQ1kvo1BEATWjl7Lc8eeIzonmtvam99xzWNRUNSw0ayt4KBsOLsorm58lNpW+Oqpo3h3cmLCw6aFBtsKaq2akuqG6rg3GxueeZS81OQGLJ1XpoRBj+3ga1rVVKUVaX9EIpLc5+PGN2lSE+Cc6AQQRb6XKXF2GcSoAIkJ5OZm2vtDJlPi43MvaWmb8fN7uLVfq0X41wYCURQJWL4LgBcmdGXhML007Y9RqbywLaZZYlhXB0gyBh1/+xXLoKAmtr71ePKbPU1vVA+VV66g7NABQaGgaMcOnO4ynYuti6rEIkStiFVg07o3tUFp2ucnAYE/LmUyNdynzvv6S3T4bbGcPTeL4uILnLzSr6aBytD+rzYIAIYtso0g+ycrZsatwD/EeJ+BSbh1kv7MwJkb+YT5OunYMuYg0Mk8ifC2REFmGQc3xlFVribxQi5V5SosbdqePl13NP7rtF/b/PhNQavVkJcqdSVH79/D2Zdv52pWCV61PQ6BpmsWWzLyeTJO39FcGwRqcbh/V7raXq6/W6Nwcx1OWtpmAvwfadZ+bYV/LX20uEJvBp5eaKgv88I2iZkz+8vTzT5u1ptvte7E/iFQ5+aSOGUqV8J7EdcjhIwXX0JUNU2DVOdVkPNFNLlfxphF/Rw0aBBj5z7Oe/dI8h5LtpwnIUfvgSyTWegkJORyS/r2+QVPD4maWDdI5P0QR9ry4wbHNnfmEzxUCjy715hmZLUE5dVqLqYVIYoid31+ik1/3qC0qnkm9DHzY3hn2Du8P/x9jsw4wqbxm5reyQTM+X9kXC8iM0GfDvnqqWPkJLftaF2lUbF13XFuXMxremMTKC29ypWrr3LgYCCZmTuors5vVpFVJpNz53LJVKhDjzBcbJUM6OiKn2vTLCHnOjWvz7ob1m38rZWNW6qagJvbiJprvHWWtC3Fvy4QiKJIdGohN/LLeHlSd54c1YmIyYaph9emSMsOigwuRJtnxei28k0OhAbyU1lWm3Df/27IHAzTEhYeHmDR+AVeea2AzHfr1G/U5jGTlm45zzM/6fs1Rq46YvI3FEUNlpbuuLtPMMi1yowVpK8VmPX5Qb3dmfBIKB26N2EJmhsPZeZ7NMekFjHpk+N8dOAaACt+jaXHf/6gUtU8Vsj4gPHc7nc7LlYu9HQ3rYfVGNRaNaEbQzmaerTR7boP9ubRNSMJ7KU32SkrMsMbohlY/912Vige4ZUdb7J68UG0Rmwbm0LclRdJTd0AwKXYpzh2vC8HD3Um6sx0s4/hESDNuJIuNO5pUB9DnPVZginuTiz1k3TIMoaH8eeA7rRT/n0NqC3Fvy4Q/BSVyuRPTzD50xM4WStYentDrZLcUok5lFDggp2D6TxhXdiOHElVzQC0KCuzzc7374JMqaRz5F90jpJkDFwX3N/kCLs6xXDkWLT3BsUHksn95hKq7HITe8HhZ4frpuQvTZSKZnVnbHWRnv4TN5LXolAYpp0EZcNLOXfdRbODQUCom+l8uChKheFPe8O7ddI1pTlweKXJBiQbpRQ4P9x/zWD92A8bfxjfDFjILBjmO4wAx4CmNwbGLQxhyPRO2Doq+X11NCX5lWha8MA2hgNqKSdfppRmHkU5Fc0+Rnm58Qa+WnaOOSjJk4J6bkpSg/eqqqpYt24dGo0GlVZkVWImaZXS/7njUYnWmzQsFLkg8HxHL5KGhbaq9pafXka6mdfqzcC/LhAM7exGO3tLvrm/L4ODjAuaWdUZXbbznG90m/rYtOxJ3Wsnz5vjGXurIbe3R25nR9CB/ThOMW7YUQtNmYrivfqbU2ZjQemxNIr33UBbriJvcyyixvgo30oh59Ryid8d6utE0sqJOJrISws1NYHS2A2w5wX4ZhKIIg5j/HGaEojcyRLnu/V5+1b1GhQkQdIJeM+EsNmF7+DwW/B6O567koK23izmjk+lVFVHN1vevksv1Hcjr/xvmTWuHrW6QZ9EY1BYyikrkh5+G184yZpHD/Pl0tYFsaWHlnJZJo3Ar7ifpu8yxybNh4xh8KBjdO36ZqvOxd6tHRMef4bb7m3YaZyamkpKSgq5lVW0P3KBd5My6X0qll05eppx3S5zq2bUfoyhtKCSnORiVJXmy6C3Jf51xWIvR2tySqq472tppGtMB2bxbR3x1i7nyb3zGf/hMU4sM13xr0Vpnvkpg/82KHx8mtxGZlUneD4ShmUHB0SNFmQCBVuvoa1Qk/n2X9iP7ICFi5XE9rEwvHmuvzmhSe1+F4X0UC5yVMD5HdB1IggCMks5dgO9sRsoCfbZ9mmhZn5dXNkDe543WFVp74BSWyUJvPVfDD3uZnvCFTam5/FyoDf2FvrfIeql0Vgr5NjWdBbbWSp49DvpIVip0hqwo/6J6NLPk0Ob4vDr4UrYyPbs/Pg81RVqTm2/brbXdV1oRS37k/cbrFMrW5Z2ksst8faajpvrCEDg+IkBAPTu/aPZx7BxcKTbkOEN1hfv20f140/w2DPPGFDJpxUJvHYphRmezoxxc0TRAptTURSprtRgWW+AUpgRyf4vP2X/Wnjqh19vObPvXzcjaGwkVl1Zwba3VxD12zbG9l/Pa1OCSSusQN1GU+L/zxDkMrxfGYDbgyE672ZBLqPkcArlUVlUXspDU1xN4fZ4ctdfpCK2YaHQHAMXK/s6qY2nLsGEd9rk/EWVRgpcdTFgMSzWF6D/7O3EiXAlZ8/V2IJaWIKjD1PDR5I+PIwd2YVU1jmGm52lLggATAyVZoqLhnXEiJL4Pw5yhYxHPh/BpMfCaF9bPxHUlJdkkZfXdINjfdTtiB/gJT24W9MxLQgClpbuWFjo61n2dk0r4zYFmbVUsM157z0ye/bk024d2BkeRHxCISmxeWzJLGBiu5Y5wR357gpfLT3aoDbSqf8g3NpLhefcFPO8xNsS/7oZgSAIJK2cyN5LmQwM1Lt2VZaVsnrBTJy9fEi5FMPRzeu55+NNun2aQi0XWRRFfnnrP4x9eEmbeNj+E6FSqYi7GAvVENJfr8Uks1FgFVQvd1+viKsMcKQ6sYj87+KwCW1Hs2Fpz7ATeVhoRGh6omY2Sk6koy2uxrpnO5Q+9npNJM8QmLUFrh/A3l9LWeZ2HB0aFmwF4HRRKZ1sLOnfiBdy3RmoKIqkpH6DWl1Cx4AnTO7zd6L22o8/kw1A13sknntu3lxcXYe2+Lhrb1+rO3alupKiqiI8bD1adCy53LLRJiyVVsVHZz5iiO8QXQBqDKpUqTfEpk8fyqOiuNtTCoLXskuxAD4ZqKeHq7VqCioLSCpOoq9n0/XE7kO8uXQsHYC6Q1Jrewfmv7carVZjIJl9q/C/zuIabF6+lKyEazz85bdUlZex/smFANz/wRe4ePug1Wj4YLaUJ1/63Q5kJrqPRa2W5EvRtA8OQdaI6uV/M1ZErECsuYwdZbYsfeXZJvaQGDwWrtZYuFhRGV+A3E6JogW5YQDOboJzm+C+30HeNgyNoj1JlBzWu1e5zu+OdTfXBttpNJXIZEoEE3pPzUFk1N0UF59DXuWIc+bXBE7tgp3zrZP+aA6qK9Vsf/8c/kMOgiIZdfpSzu9PZtHHw5ErzP8twjeFo9aqOTz9MK7WrpSryun/nWTssmvaLp3XRp9TsbzXpT1hDjYNjIuai6OpR3n0gCR+t2PqDjo6diQrIZ7Ny5dw/wdrSLbIpbi6mGG+UjdxXK/eiOXltP9iDVYhIVjUSLa89lssWcWVPD6yEx9dfJ5jaQ1nRY2JQgJoVFq2f3COiY+EIldo+HPrD/SZfBfWds3zrGgJ/idDbQamPf8Kj67/ARsHR5w99cYweWnJiFot6mp9LjPtiqRG+cT359h4KsngOIJMhl9Iz/+3QQDg/rBputdaM+9Rq07OWLhIDzmrIOeWBwGAXnPhgb0Uattu5KTsIN2IrnMl1pLMhAeFXG7VJkEAoEfw+wDY7vuA46fz2LD8JKlX/j7mSGNQWlkw/YW+9Bv2PB72r3JuXzKiCDFHmtdZfXLWSZ7q/RSu1lKQVcr1CrgTtk1gR9RGANKqVMyKTqD78YskV7SOvtplmz0/aD9hZpeZ+NlL6Zft770OwOh9dzB391yKqvS9Ez67djDnGTkTM1/RBQGAlyd159PZvbC1LTIaBACyy7MbPRe5QsZdz/XGyk5BZWkpf+34mc8emEXUW3MkZlrtX1nLeyxagv8FghrYOjljZStN6VfNmKRbv/O9N3h/1mRK8nLpPGAIAD+uWM6GZx/jclQUr+y4xI9Rxn1Q/7+iw7RQnpn9GIN69KOkuozS0tKmd2pjFKs1DPsrTkfpU2kbzmw/uZHF7ZFXdNs0BuvurviuHIp1sBu+K4fq6hySKFg2KjOa6VQZGVzp1ZvsVauoiLlIRXR0459p3YERw69ypUqDS00qascH57gW1Xrf4ZsJvx76mdLlk417SteHtYU19/e4X7dsIbMgZn4MO6fu5MGqfvT37I8gCNztoU+r9vvzMnnVzWvEqwvnqUF0mTKAFwe8iFwmRxRFSvNyEe8IRoV03DsC79Bt/5cmE5VCIL8y32hNcf+N/Q3WAQQ5BRmVBTEFe1c3Hln3PQCXLqeDR53O9nUNXdFuJv6XGqqH2iljfUx97hXKCvPZt/ZTg/Wr/Rfi4WDFqRfH3LRzMgZRFCmv1hgUI282kpOTiYmJoW/fvlRUVPDtt99SXV1N7969ueOOO5o+QJucxGmI/gH6LeS0sj39nexIqaym/6lYLg3pwQMXkxjt6sBAJztevJbK2WKpf+HKkB44NiPFEBERwZAhQ1AoFBw6dAiASZMm0aePaWlyTXExV/vp/WvbLV2K26KFTX5WaW4Ftk6WVJSr+fo5qTj9yOcj/jGaUC3FNycSifg1liFBbiwZ3Yk+/k007NXBxZJyRkcZavKfHdgdb6u28dDYv+5zUmW5jLwyDCHIlvYP9mFjWi5XyipZl5ZLu2SJEGAs1VNdXU1kTCSLLy42WH969mlsFM3vDN69+n1CRo7B95cxoCqD/xRKhkRtjP+JzjUD1RUNG59sHJ3o2KsvgiCgUas5uH4Ng+6Zw8mfvsW5uoCMEjeuZZU025u2FnV1V5qyCNRqRcJW7KWkjlTBO3eHMqqrO652N8+4HCR568jISCIjI3XrQkJCOHPmDB06dCAs7Cab+MTuhB+lG7RCbsMUq3sM3u52/CIAJwv1M5TONlb4WikMaJ3m4vhxQ8kKa+uGzlh1ocnPN1h2nNx0cBRVWmxdrEAAGwcl057uharadOexVqvVefn+k1FRrSG+RirkeHwuPk7WlFapGd7FncyyTE6ln8LJ0glXa1dC2xk28sWUlDMmqqExS69TsWSOaFlndX2MfuBhqlKLyblyAeIrSF12jOW326GpYa4NClvLJyG9je77448/Eh8fz6r7VhFfGM8jPfX6QKIoUlVVhVUzZN5jjx7EPzQc5u+UVvwNA4D/BYJ68O4i5YiV1tZUV0gdjw+v3ax7P3zsJMLHSqmj0NHj+GTlSQBu/+Aoca+NM2hGawwajZY1jx4GoNsgL0bO68ZfvyYQ+XsSkx4LM5h+18Xhq9kGQQDguZ+lFMSUnt68OKEb7g6tKzgeOChxxAcNPIK1ta9uvZ2dHfPmzWPjRimPKwgCMTHSiCkxMfHmB4JOt8PM7+HqbqzHvwH1JIABnujgzsfJ2Rzq2wV/a0usW9joY+3TlV2F0ENMp125pPgZHNw4NfH6uPEGyzI70+whkCiraS9L14/dbb44jQ/Au5NpWmJ6ejrbt2/noYceQqH4Z8sYRKcWsvlPvTDblqgUtkQl8dszHXlo70OUqkrxtPXEw8aDzRM2G+x7u5EgABBo3bYDHUtfB8TinxFlw8h38cBCBA2wMzyIzrZWKOXS4/HMmTNYWVkRHBxMcXEx8fHxAAz3Hs4Yf8NMwPHjx9l/4AATlzxDYkU1M7zMmwXt+nQVl0LDmfjkczQ+3Lg5+F9qyASyEq+zedmTzH5jFV5BXUxudy2rhMe/P0dcZglnXhpt9qhcqxX5/BEp5WDtoKSiWJ/H7tDdhTueaHrkc+9Xpzkeb9jIduDp2whsZ2egrhodMQYHK/MeHFqtikOHJR3/4bfFGBXB+uWXX0hMTGTp0qWcPXsWKysrOnXqpJPxvpXQiiKyeiOoaq0WpYlRc2VlJfHx8fTo0bjS6Ns7TvGBg3RLflmawtixY1HWsfbUVlSgyszEMkDf1yCq1cT1CDE4TpczUchsGxbGq1NKUHjZkvaS3lvAmJNbXdS6zr300ks6J71/IlILyhny9qEG6509zqF22QLAE+FP8FDoQ0b3P1VYyrRz8QbrAqyV7O3TpUUzO2NImDwFz4gIBLmMpBkz0Vjb4H/yBNUWFg1YSrW/u5OTE4WFUmexo6MjS5cubXDc73/4gaUeeh8Mc1KSZ3fv5NA3awHoMnAok5Y83+j2LUVjqaH/BYJWQqMV2XE+jYmhXlg28yK9fDKDgxv1crXjF4egUWlxa2/XZNt9lVpDl5ckaek3pvXA0kKuE27r5G7HtWx9eiTxrQlm55tv3FhL/PW36dtnOw4OIU3vcBOQk7Ofy5HP0qPTKtS/XqD6xg18PvygVTnz7OxsNBoNarWadevWAbBkyRKcjLhojf/oGBvu78uc6ATaO1qzPsRQn0eVlUX8bcOxHTaUDmvXGrwnqlTEhehTHV0vxxo979Rlx7BwtUKdp5cUcH88HKWP6VnE2bNn2blTSh8sXboUR0dHww1EUZK8OPI2PLAf2punk9VWKKpQ8fzP0ey5ZKi1NS7Ykw9n9sRKIadSXUlkZiRDfRvvQShRa1iTks0Tfh5YmpkK04giPocv8HonHx70Nd2jEn/7GFQpKchdXOh88gSiVotg4jO0Wi2vvvoqABMmTGDXLmlwtXDhQry9vRtsvzengHkX9Q1hf/TpTJi9DeoasoGFkZlcYVYmm5c/SVVZGa6+Hbhv1Wdmfd/mokU1AkEQmhIVEUVRbIaLx/9PyGUCd/bybXpDIwgIc2Pq0nCcPG1ABNt6huyiVqQkvxIHt4aTRUsLOdfeGE9RhQo3O0u0WlEXCOoGgdn9O5j9AFWpiom//jYAkVFTb7llniiK5OcfJ/rCIryfUpLFo03vZCYOHz5MbGwsfn5+jBo1ipiYGLZs2cLChQsb/D6DAl1RyGXsG9Ld6LFkNtIsSe7YMIgICgXd4i5T8MMWMiMiTP/2csEgCAAovEwH/9LSUl0QMAqNCr6fKdlngsQ6WZYMlg63LOd86noeFSoNjtYKjj0/AgcrBSqN1sDgycrCqskgAGBvIefZgOZpdh3Mk1J4pwvLGg0EqhSJ5ef9zjtoSssQVdVYOBtv/pTJZDz99NNER0fTt29fEhISiIuL4+eff+aJJxo2AfZ2NKwTjo26SsKwULIuXmDb268y8J5Z9Jk4zcAq1snDk8fWb+HU1u+JObjXoE6oUhVz9Fg4cHMtLBubswQBy028JwCtU3z6f4xrZZUM/SuOUS4OfBtmuoXeylaBT5eGF6BGpeVqZCY3YvK4fi6HxZ8Yb9pRyGW41aSiZDKB/gEunE7MJyZiDHaWFhSWq3C2NZ9lceasXsK3vp3erUBC4ockJX2KIln/4PJ+522QyxGrqxFakXqaPn26xPb48wSDD0zigssKsrMLWbFiBQ8//DAeHvqu1qNXc5gW7mPytyv49lsAnKffY/R9AOeZM3CeOcPk+17L+1EWlUXxniS8Xh6A3ETfQi3ee+89g+XExER69qyTPpQrYNhzMPsnKEqGTXfCyg4w7QsIm8mtwLgenozrYajx1ByXv6bQFJHi6xqDmDc6Na6N5ThlCkU7dpDy4IO6dR3Wr8N20CCj29vb2zN48GBAqtMAdOpk3JDIVWlB5oieutkJSOSF0eF96DJoKCd//JaTP37Llb4jeG3xw3jY2VBdUU7GtatkJcRTkpuDVqNGbiFdD3WNl8rKrmNre3PMihoLBO+KorhBEARLURR1HR2CIASIopgoCML/S/2EUrWGv4rKuFRawSwvV9yUzc/FDv0rDoAD+cV4HjpP5oie7M0tYkV8OiNc7Xm9U+MziDWPHzZYFuTmjei2LBposGxuECgo+JOz5+bolh0dexHS49NG9mh7iKJIUpL0mSo/kQ7fbca2V2+Kd+8mbelTlHz3A2E9Q8xOExiDUqlksKuU431s3l1UWrUjLy9Pl2LRakU2HU3gWnYpj39/jrkD/FgwpKFsszo7BwChGcyQ+pDbKXEY3h6H4eapgY4ePZr9+/X8dT8/I0b2HWqoq87+MH0DrBkCXSc13O6/EHU7+4fOvo9+Uxr6Gx/Ml2TQ3S0bD6oOkyZRtGOHwbrq9HTMaXGcP38+CoUCB4fG+wXkgkDmiJ4GwWviE8/S8Z65vLpuHX0iD7E58hBjFj/J4Q1rqa6oIHzcHSz+YpMuCADI5TYMGXyS69dXYWHROPmgNTB5V4mi+EHNy1OCIHQEEARhOnCm3vtGIQhChCAIcTV/MwVB6CwIwkVBENIFQfhaqGnPFAThUUEQUgVBSBYE4c62+VrNR3plNZ6HzrPwUhLzYxJ5IyGD7zNa1t03uJ7WjOeuKObFJHK/rxvdbJvmBAyYajiLSLuJ3aaVlRkGQQAgwP8JLC1bpvtiDPn5JzhzZiZabWNNWXUE3wT4s1CandiPG0eX2EusUTiQXNF0Y1iT6DwelsaCU3usrKzw8fHRUf1iM4r5zx4piFuVqRnqY5iDF0WRvHXrKfjuOxynTMbC1Tizqy527NjBjRutFxEbMmQIzz4rSXkEBgbibCKVoYNniGS8bnnzHh63CvHx8Xz4/ird8vUzfxndLmN4GKm3Nc1csxs6hK7RFwzWieXmeSK4uro2GQTqov4MZlu5lsMDx+mWP0nOZuITz/Hk5m2MvH+RUX0yS0sPund/p03vyfowZ3j1HfCnIAg/AauAJi2ABEEYAcwHegJ3AeuAH4BPgfZAd+B+QRA6Aa8DvYCJwCZBEG6+6IYRONVU9g/ml6CqKaDPNJP6VR9J2dkIWokLLk8rw+poFjKtyIO+7Zjj3fTDo/c4f4PlnR81pEm2FSwt3enW7W2DdTY25pmXmIvklHUUFkVy6HBXDhwMNNqtee68oe+Dvb1UqBYEAZlMxvqQADrZtl6HJ+DwZf5YnUTuhkuUHDHsCK87g7pcUcUP31/ULYtqNXHdupP97rsAFO3YSfzIUZSdOmXys0RRpGPHjtjYtI39oK2tLQ888ACzZ89u1XE0RVVUJRf/1zjpFRUVUVxWjsrememvvMmsV40rzgqCgIWZ0tCCUolld4kq3vG3X3GZN7fZ55VQmEBKcfNUBV4I9CZjVG+63z6BC936MG7cBDr26mu0iHwrYU4g2AKkAVOA34DDZuxjC3wsimIlUAbYIAWF7aJkLLoduB0YBZwWRTFbFMUYIBUY3Nwv0Rawkcs40q8rH3TVT9X7/3m52TdLXmoys9e/iV9aAtOytChii/BrZ8sm8vnrL+MjGXOw5Y2W79sYBEGOt9fdjBp5XecFbGnZAlVQIKU4hQ2XNlCuKkej1TdFdQp6gX599YVOUWw4sre11Ss6jhgeR7++21t0DibPrWbGNzFdRXCxlsrL+RT9kUTxfv1o3cfJmt8fl2RE5vTw4sVlQ3TvCXXomra3DdO9VhpL0dTuIwiEhITg5uaGqBUpK6xqcD2Jai2iEXkMU2jfvr1OI1+r1XD52CEuHTlg9v4AGW/9Rc5nF0hbfhxtI81r/xSEh4fTuXNnKn0DsfbwRqttvSy8KIpUxUqMPVHT/N9AK2qZsmMKy44ta9Hnj3/wETZGRHCnRxMzu8IUuN6QitvWMCcQnAf+APxr/prkboqi+Jsoih8IguCDFEj2IxWYa3McBYAL4FpnXd31BhAEYaEgCFGCIETl5OSYccotQxdbK2Z5udLXQcoWlmu0DPsrjkKV+Ton1ZUV3HbvAo7fexe7z2eAVuRGThnHjh3TUc/MwV3P92bu6wMJCJNc1MYvah2VU2vGw6Zbt7e5bdh5yXSlHtQqDZmJRY0+tM5mn+W9qPe4Xnidnpt6kluRS5mqjIzM7USd0RcsMzMbsl/sbKVejZEjriKTtX50FJcfx0N7H9I9eD2UFnS2sURV94rXQvH+ZIP91A4Kzrw6ljfu7dWgg9equ8QiKjtylKDDh/Df+jMWXk0zW/Z/Hctnjx7im2Un+OVdQ3/c3A2XSHvhOKnLmq/vf3bXTnZ9uoo9n33AH2s+Mns/m3B33evSY2nN/txbDZlMRm6uVAj+9NNPqa6WBhJ7k/YSsiGEK/lXmn3MijoU9LSlTzX/nAQZH434iAUhC5q9b7NQnAabpsIfL97UjzEnEMwXRXGZKIrpoiiOB74158CCIEwGopFqClOR5Ldrw1sS5BwAACAASURBVJ8z0kM/v866uusNIIriWlEU+4ii2Kddu5aNVs1FtVZLZHGZbvlaeRWOJvoDXo1Px7Ned6tXUBf63HEnFjIZca+No7efM48ND8DFxYXevXsTFxdn1nl4Bjji4GbN+MUh3O13GnvHljUQXTySyurFB/n8kUNNzm5kMgssLIxn5m7E5LH17TN89sghSvKN2+kN8h7E8n7LCWkXwsNhDzPixxEM+G4A045/g1ZbTqZKQGbVie1RJ3n+52h2XkjX7evjM4uRI662GVvpr4y/SChM0OVolTIZfwT7ImYYCsFZ1+vg3pZVwI3KhmqXolpNZWysbtnC3R3r4GCzqLl9JwXg1dERdz97XLxs0Kj1I1q5vZSOcpoaZGp3kyjKzsLFpz33rfqcsNFSV7M5swvH8f661+XnGlfL/Kdgzpw5dOnShcWLF1MqlhKyIYSnjzwNwN2/3s3vCb8jiiKiaN5s4cbcebrX1QkJiOrmi9qN7DCSUR1GNXu/ZsG3phfk1KfQBjMhUzAnEBwVBOF1QRB+FQThbWB9UzsIghCOVFuYJ4riI6IolgEngTtqisSTgX3AAaC/IAjtBEEIBnyB46aOeyuglMnIHNGTxzq4Ixcgc0RPkze7tkaTP7m0gtJT6YgarcHD1kohZ+vDg3h6bDe6deuGn59fs3ViCn/+mfwNG9GWlTW9sRFY2Smxc7HEK8ixVQ1ZHcPbMXyONGrf84VxzfV2Nu2Y3U3KXxveIAJ2/isY2/8nRgzaw4i+K+ju7UB8tqFqaVsEgcLKQhbtW8SsbrM4MN0wZWJtZ89DXZ3Zkvg2LvdJo3vH8Yb1kIggH3o5NOSPCBYWdI6KwnPFCgL37zfZgGQMTu423Plsb+56vg/VlRpO/XKd0pPpFGyPx2FkB+yG+GDbv3nWmlqthpK8XCY/9QKuvu3xDOqMRq3lp5VRRgO1KrMMbVVN3cpBP+NTeLdCDrwVUFdXc+b3HbpGq6bg6urKrFmz8PT0ZNG+hbhZGD4Ulx1bxsFDQRw81ImKCvPz9oH799Et7rJB6u8fBZkc5myteX3zNKbM+fbrkHL+u4DRwGZgfKN7wFxADqwSBKG23L8IWA1EAHuB9aIoagVBeAk4i0QbmSuKYklzv8TNwEuB3rwU2LBzsC4ignyY3M6JdsUa8nZcp3DHdWz7euJ8lyHHOD4+nhMnJCmB2nZ1c5Dz8SfkfvYZzvPmIjfSAWsOgnq7E9TbvekNm4AgCAQP9aH7EG9qY92zR55lxaAVRhUXT6Xri6irbltF/zqaLN28HOjmZT7zojmwV9ozPmC8of1THfSdfBd9J9+lGznL7M3vs5Db2eI8o0muhEnIZAK3ze6CwkoOlRpsBCiLysIm3L3ZQbqytBSllRX2bm7687OQMXxOl4aNiWotWR9KKSnP5/tiUcf8xmVmV/4OFGamc3jjlzh69cPazoodH55H1IpY2yuY/kI/1EIF2dnZ+Pv7G0h7ADzTwYPy/Au8m2lFWk2uT1bnH37mzAxEREJDVhMf/w7h4ZsapBvbLV0KMgGlr3nNoO/9cYUBHV0ZHOR661VhO42WGGA3EU1KTAiCcB0IEkVRrBnNJ4mi2OGmnlUj+KdJTIA0Hc//8QoV56X6he9Kw87J69evs2mTZHv58ssvGxhimzymKBLXrTtO06fj+fJLCH8Dq0CtUrFt5X+Y+MRz2Bjpog3fFM7rg19nYseJvHLiFbbFb2N5v+W6WUFlVSWWSsu/RU45KysLd/fmP2BrodFU1TiR3bxzLz2dgTq3Atu+nijcm8csEkWR92dK6qa1Nqkmt1VpyV5zAVVaKYJChseSXmS+K91D9a/VWwVRq2X1w3sRBCVVlnlYqG2Qa6wpcD2DWqGf/RqTciguuUhkpNRT8FSKNb72fqwcuhK78tMkXH+rwWcNv+0icrkJ2nbkV2DpCKGmmwO/OpbA679LheWv7+vLiK6tH1j9HWitQ1kSUDvscAeutdF5/dcg7bnnuNy1G4Vbf2nwnlZbRUbmz9hNc8Z5YQDujzUUiwsMDCQiIoKIiAiqY2MRm5HrE6wsb3oQ0IoiWiMDgo/unUbyxWijQeBo6lHUWjXLji0jZEMI2+K3AZBXqe+9+Pmnnzl//jxJSUltwvQwB+np6URERPD555+zYsUKtm/fTnFx86mSh4905+ChIKqrc5ve2Ex4HjpvUFOSKeXYhLs3OwgAlOSaT5oQFDI8Hg9HZqdAVGnJ2yw91JzvNN4d29bY9s6rrJoxCY1anwYSZDIEQYlWUFPsfIn8dpHMfaePLgiMGDGCcePGGdXzqQ0CMpk1z/Z5juSSZGbvms3kwx9h1XkD7u4TGX7bRToGLEUms6aqqhGjn9+fhl8ehPJ8o29HJuXrggDA/d9EkltqnmOaqNZSFpmJtkpN6rJjFB9KbnqnvwnmpIYcgcuCIEQDoUBOrQ6RKIrDGt3z/wEud+2me53x4os43jnNYJSYkrqR+PiVumVTeiAZr/yHwh9/BKDL+XNNdqUmTpXsIAs2bkJuZ0e7eromGrUajVqF3EKBvAX5TbVWZPK5awTZWPJjZgGeSgXnBwez69NVXD5mSFeLPXaI7kNHGKyr9YCti7137cXLTs+iufPOO3nnHYnzfe+99xIU1PyCaHORkmKYHz5//jznz0sP3+DgYO65x/TIzxhUqmKUSremN2wCt/2lJwnszyvm3ugEOtlYcsy7ZaPLLx/Ts1Wakl4A0JRUoy2VHsSqjDJserlj0/fmNSjVRUJNA5hGrTbomvXr4cqNi3n06BLGxSsXuHTpEj4+PoSFhdGvX78mj9u71/eMcAihRFXGZxckobYvYtaycfxGTl7P5f/YO/OwqOr2jX/ObDDs+y4CigIqiisqrqmVqWllWi4tluWrvZXVmy2Wti/aZpatb2bl0qKV2uK+L4iKG6CgiCCr7Msw2/n9cWCGgQEGAfP31n1dXs6cbc4M55zn+32e+7nv8sxfkRurSDg6lSFxBxseYNvL5tdv1dSK6qVgetRrKryjTxCeLZBtqYjPoehHaexc+sdFXEb8ZcmUJtGU6Jx9TR/AskY2+Stks9sVoiiSmFlCrw7W8/EKHx/Q6aBOzrJuEBg0cKfV/apOnjQFAQDBhtRQXS37go8+tggEy599gq0eQRzoM4LbErby0ZNPNnu8+ijQ6TlaWmly8HJTyngsKYO0PmNQVMnofeoADhpp3W8fLiVi8NAmfZjjp8Vjr7AMbg4ODvj6+hIWFmY1CNjyAGspaqWw3YqKKK7XfdvR18w4Ky3Ix8WrIQMtL+8PDNXSbdG79xocHRvXiqqP2u8THx9PSkoKt912Gw4ODmgMRlIqzAXcxJrf/Fzl1XvxTnvtXXLPpxI96iabfkN5vVpI5dE8PO5sXF69LTHvv2uRK5Qo6uX64+4Mp98tofiGuuC1050//vgDgLvuustiO71R5LHkDILVKv4T6s+ggTu5mPEp8UcmEt3jYx7o8QB+jn7svLQTP0c/RFHk/i93sfwGScq6bo8KBp2ky1SWA3ss9ZuswV4p55d5g7lt+U4+GS2xlDIuLaBjsHUJ7VpUp5egy61EFeKCNkMqe/rOt250cz2gqaHkUSBKFMWV1lYKgnAGWNEuZ/UX4cD5K9z92SHeubOnVUVRfV4eydE96Xo0waRAWRf7DwwnwP9OIiMt85S6bEtf1+Iff8R9atNCYB2/WcXFGTOoOpKA54Nmcazqygp+9w4hvpeU2/2pzyiWlJbg4OJq9ThXssqRK2S4+Vqer5+dkuzhPfGvEcZyksvRGI3EawzQdwRpHbvypUM1WcmnSY0/yLt33WqRi06YnkC1oRpnVdON4HPmzGmwTJedTeZjj6FJPEFkcpKVvSR0fnYzd/UP5uWJTXsH1IW+hgZYNwhMmzaNoxvXs2f5EvYsN9/889f82uAhevKU2W3K3c12GWedTserr75qsayiogIHBwdOllvKF7ydbinTfDXw6xSOX6eWpXYCX48j65lrT8qzc7DOTHKrkxIbPnw458+fJyMjA8d6/g1Bu8xyEE+F+KFWdyCi68u4u8Xi6NgVpVzJpPBJTAqXZtFlGh1Rnubegq5dJBlpUrfCN7eD0hFGNKan2RA+zvZ42Beb3ru69m52H0Euo3i92VPBZ26vq0oBXis0FQjCBUFoKql1beaV1xBRNUyW+esSmRQT2IC3G/juOwgqlUUQuGFkGnv3xVFdLT3sC4v2Nziu8w2WXGN1TEyz5yIIAiHffNNguUGnIyDXnP64b+0HnBfupvtws9n1H5+dQpAJDJzUiTUvS9Py8H6+6KoNxE4MwzPAPNv4oVcn7k48j9YosqJbCCtqTLj2rT3JrlVrTdv9e9WPFuehkqtQya/OP7byyBE0iSdwm9JQndNoNJBy+BCqsB7cEu1PdJD1ANccooOCQBAYNnEinp6e6Pr0RahwISvpNEb9BaChDgxAv77riT8yqUWfdfHiRc6ebeiqtXz5chYtWkR3JzVeSgUFOj09nNQWgcGasU59HN54AX21gUG3ty61JggCvo/1Jm9FIs7NiN2JomgaJOwfEEmYQ+tMh5qa/RkMlRiNWmbOnMn2Hd3YvmMV0dGfkpLyArEDfmdWoBfRzg7c6uNmcQxf31usHi+vrBo3uxJyxfuYMvwp5PKac98kjejRVcCfzzfcsRFmzpYzOXw/93ZKc5PoHvVaszRn0SCSt9xcC2rOZ+J6QFOBYFQT6/4nkV9WjbOdgrJqPYUVWjyd7PB+Yj75S98BwOVm66zZuMF7KStP5vDhW9BoMhusF+Ry7Lt1Q3P6NIJajX3Xq5uSa6sq+Xj2dLoA8z99EbnR0IAxkp1aTGqC1CR0Lt5cJKt9PWBCKN9lX2GgqxOhDnbEuTuTMbwnJTo9BlFEXnOjDbhtKgd/MgcCpart3Mechg8HoHjtWnwXPI2sjhewQa9n87uvUSZ3Ii6yE+PHWY7cQhZsYvdTIzh44Qp39A5CEGDtK4fpNTqYiFh/+vbta9VgPqRXHDu+g+H3jiV5z4cMmTqT4kotjnYKC6nkWmEvFxfbvXHj4+M5deoUAwcOZMyYMXzxxRdkZmbiWSNKp5bLOBVnOav5KquABWczmw0CAPEbpcAVc2MwaqfWmbcr/RwJXGRdbrkuqus0pi08l9WknHpz+P71ePIulvHQsmEorDiw7dwldc3fMDKNXj3f5+SpuVy48D6ensOQydS82qVl8mOdvJ344l9vmILGnNPprM8rZqPBEYsrY+wSuLALvCMgbHijx7tSoUVnFOjR7c1Gt7GADFxuCqH093QA8pYd+8vYWbai0UAgiuKua3kifzXKNDpGv2v24qm1nPR68EGchg6jrCZ/2RjkNbIMCoX1+oLz6NE49O2L178apkpsRa2HMoDcaMAzyLLwZDQY+WmJxBcffX8UW76UOmF9OjqTd1HKU7oHOjF/ZyIfRAYT6mCHKIpszC/hwdPpLI8M5nY/SeFDoVTyxNqNEsOp5oaqiM9BHe2FzK51zTd1Z1QpMb0t0kM6pAeFs6GcjFOJGI2WOjBf3NOXkW/twNUokP/5OcbN68mVrAqyUoqIiG1c7uG//5FSIjGjg4kZ/RY7kvO476UtDeiARmM1zs7d6Nf3x8YO1QB33HEHt956q8lH+P777+fYsWPENDHzmxngyTT/5gUI60Jlf+2anuzlMhIHdaPn/tNsKyxtdOay7NgyPj3xKQtjF3JnV3OPxaSfJ5Fbkcv+u/cz7O6uFGSWWw0CtfD3k4SHfXxuahMDltogIIoi6/OktE5neyWU1tkocTU8uL3ZYz02qkuLP9tleAdTIPj/gOu0ne7a4MSJE2zcuJFnnnmGHSmN0/Hsu3bBvmvTF8PZs1Iesl/fHzAaq9GcLkXp54jCS40gCHg9/FCrz9fJw7NJzriszsi2cx8fUyDQVRuY8nx/DDojckEge3hP6UbRadAVpfPgaQ2Bdko6OTRkMgnZxyB1G8Zud1H0YzraS2VN0g4NJdVoM8uQu9ih6mB9JCfI5QS+/z5Zjz5K0EeWtnzpB6VgrHQch1zVhc0fn+OOp83juMslGh4vMc8gNn4opS+GTm18llVa0FBieEi4xATqFmjZ2KZWB1sI5NmKumbyMpmMPn2aLgzKBAEbhTKZ/nIsCqUcuaL9Okut4YOL5hllid6AuxXv3U9PSFadLx982RQINHoNqcWp3BZe83Dv6IJPR+sNhAeKy5km/MirLoFY94OzjqqqKuRyeYNms/oQBIEfenXi88x81A/vkAY1ggCv+kNWQgs+seUIeCGWyy8dxO229mfLtRbNBgJBEFSiNbnI/wH89JPUFyAIAhN6BjCuhz8ns0ro2QhrqClcKZQeYEcS7iT81IdoT15A7hKI54xI1N1aTz+0Fa4+akryqvh47k7TssnP9ENpZx6NmfKsmYdRrRxPzovFjdsZJqyElM0QNg6Epu0UQVK2rEXgy4MRrDirAbjcOAa73w6i8LYkn9XOcuQq6eYpL7Jk1syI7cita5MYU2X5ADiz9zI9b7Ce9171vNTl7N/ZFV21AaWdHIVcRvob1nPM1xtcvf+aImMHe+k3frSjr9UgUBc9vXsy6edJxPjEEJ8TD8DC2IVN7mMUReaekdRf9xaVM6sJe8lafPLJJ2TXIV88++yzzQaDOHdn4tzrDUoePw3aq5NtsRUyB+V1nxKqhS1DjBxBEJYJgtB8qfz/EY4dO2Z6rdFI1D6ZTGhxEHhszTG+P2Iu3rq59UV76iKV2xcjiiL2kS2b/rcW018ayNg5ZqVSzyAniyBggY5x4N+LkvxMQhZsQmew0vQ1fAHMT0LWIYqg14fgNNCywSdkwSY+33Oe8mo9n+0+j+/8Pvg93Q9ViAuHEyayZ+9AystT0FUUNzh0/icnyH7lEJo08zrfsM48/tUGnCrzcFeUMXVhQz75z+/exNwVI5m7YiQPvjuUu14Y0GgQABgxI4LIwf70Hx+GQnVtR9X/n/FwsJQye/9iLmX6pqWaE/MTcbd35/uz35Nemg6AQtZI8Mg+AXlJyASB7k7SQOC3AuuF2txqqfehICMdo8FAzqUMmzrzm4WDB7jZ5g73d4Atd8WNgBb4RRCE44Ig/FsQhKtzbLmO8HMdq7offvjhqo7xa+JlNhy/zFM/nGDkiLMMG3qc6B4fE/zhZDptj6fDm0MRaub/xT/8wNm4IVReA3mM0J7e9B8vNcjcMDOy8Q1lMpi9E3uPAB4fEYqQY0VMziVA4l1bQVWNlv0rm5K4/7/xvLo5CYW3GoW7PboJyZRXnkarzePYN7eQ2sfSRlOXV4nc0x7f+X2wC5OYQVc+/5ykiEjK9ybQ//DL9D7wDvbNePmq1Ao8mhFOixocwMgZkTi6VnHgh++uiSGLrZ9RXngF0WhEr9NRcKn1TmatxfQT5zlRVml6H1hj+xi+x7rQ4K4p5lJi7UygWXwyBD6KBeDumjrJDCuGTYU6PT33nya3SsPKp+aRtHcnTucS6a4y0rlzZ/r379/sbOBao7LyAlVV128HcWNoNhCIohgviuITSEJz5cB7wCVBEOa198ldK0yYMMH0WqPRsGjRIpNIXC02bNjAN3XonLvP5vPIavOsQhDkJglnQRBQBVjSxbKfX4ihoIC8d5p0+Gwz9LsllLkrRuId3AzjQhCwU8h5tLcCxbcNaZND39rBa5utc/3VKjlb5w8D4HB6Yc3hBI7kHGFR4npEESLSHsTrPelhkhQRybnhIzCUl1ORkIvSx4F9Zw6zePFiUs6cIW/JUtLCwji18DEAHIfZzvW2BZlJpzjww2remTq+XYOBXq9n8eLFXLnStNVpwqaf+WTOPbxz1wTenz6JlU/ObZH8SFvDmLaTJ7bcxSO7/qD4lUCGbVyPfR3Fy7sSGxZxPew9+P32360er1JXaXU5d/wX+txHSWkZudt+ZmmYF293bTg6f/asxMDreTCZ6Pe+ImroSOav+ZVJT7/I9OnTGTt27FV8y/ZDWdlpDhwcxf4DI5qWtbgO0WwgEAThCUEQjgJ7gNPAQGAIYIWI+/8H8+bNQ11DW3znnXdMy2sfEFu2bOHo0aOkpqZSUVHB8ePHCQgI4OzZsyxatIg/489YHO98vqWkcn1EJJ3Bc87D+C28Tn827y7wn/MWi97feo6MwkpiwxqfAHbyNo/Gt84fxrJjy7jvj/s4mHeaxzMdsB8+Ht/nn8d5tMRGdhoShyCT4XpTCF73dGPnzp0ArF63jrVTp3Csb18cw8bgPPFTfOe3rVldjxFmBdRTO7YAkpFQW0Mul3PzzTebri9rqCwpZufXnzVYfnL7n21+Po1Bry/jeOIDJj2lKzoDMWXJ7DpyL276cjx0JaRVmWs0iWXWH+yBToFsm7zNJD3upHRiXq95VlVpAeh+G4x/j56v7ebF456MSPutwSaiKLIhz5wyTNToEQThLxEwtBVyufn77t03iP0H2tmroA1hC2vodiSv4TWiKJquBEEQXm58l+sfXl5ePP3005w+fRpDHas6tVrNCy+8wP79+1EqlWi1Wnbtkqa/RqOR7777DoCxnWR8c1LklYk9mBQTiLoJahxII2WfRx9tchudrhiFonW+AQ2OaRQp1uvxVrVMuO7m9/eQlF3KqEhfRkY03jsoCIJF0fXT3z613CDID4/waXhMn2Z1f09PT4uRc7/gXnhqvfCa1R1VUNvbVz+xdiNpCYfZ8NZLKFQqNi9bwqSnXySst+1dxM1BEAQGDBjQ5DYXT1r3oXbxuXZ9mgqFMwZDBSdOziWm11ec9exJuX0g6/xu5KuAiWwfNpBDxRUsSr3Mpj7hBNo3nobxcfDhvRHvUVJdItEnVZYsoW+TvsVB4WDq/gV4ZWJ3nt9wikF/BpA+0vJ4giCQM0Lq5dAajSibuSdKS09SVn6G5ORn6dF9OT4+ZoN4jAaSi8/R1b1ruwYSQTDfY2p1CK4uPdvts9oazQYCURStdp+Iori87U/n2qNbt24NlslkMuLizH61Op0OJycnoqKi2Lt3L2FhCVRVruLkc7/g7Ny4Z21LUFl5gQMHpVHzVfGoz/4JukpQOkAX88h33NGzJJZV8UOvTg2ZE40gv6yam7r5kZRdytakXNYducSdfW0rrCXOTCSpMIkQlxAqdZV4qhsvlvdY2YPx3uNRXVHx+OOP4+IiPTyMlXrkzdQG6iPrbBFGvUiHqObLV2ExfZn22rt8++zjuPsHoGojc/mWwNHNuldtSHTzXedtAY3mMvv2D0EmU2E0atm5qzvdu31AzwHSQOeZUH/87VRM9FUxsTlf3TpwtWvYCT7lx9s4Uy4Jr72w/wUCnQL5/fbfmdqvA89vOIW7QzN1oGYMWYqKDnL0mHmgoVTWED6MBnjJg5+dHHne25MvxnxBf//mxeyuFvsPDDO9rqpKx80GKYrrBf9QKJpA9puHEQ0iWq2W8vJy1tUIx/n43EHP6M9wdm4YRFoCURQp+PQzdq7rZAoCAOfOvdbyg303Gb6/R/q/zKxl8010GI8E+9DP1ZzCEUWR+E0XWP7wdgxWmEKHLlwhfuX3LD7wOSqDjgtZhRStW4exsl5qQBRBV4XWaGRzfjEVegMyQUY3z244Kh3xdmicDjjwO6l4/Gv1r5zvex5XV1fT1L+lQQCgJK+KS0nWpYTrQpueTnJUN3x1Zwn3qGDMQ/8mKKJ1f8fa36ElCO5uOVqcvPA1Hv1mfevOw0Ykpyxk336J1uhX08gFYG/vz74BEZwa3J1HQ9pmZvJr2q9o60lmZ5VLPsklVRIjaO6Ihjx7o1Fk3WvxHFifSlFO4zRPUTSagsDQIUe4YWQa7u5SIZrl0qws2rEDY8ormPXnLJvPWxRFqqvz2ba9E/v2D7epphRcT4guO+cnjEbbHNj+ajRrTHO94VoZ01QlXUGTUoTbuDAu52Zz7NgxvLy8+P13qTDWEqexxiAaDBydFUnxTEtqnpvbAPr0/q5lB1t1G6TVWDM20RcgiiKbPz5J+gkpL9zzhg7ETW7YIFZXflvv4oaiVMrXdvhkBTJHRxw6+8J7kmyC3zApdfZmlyDuCbStZ6LHyh4W70/eY2alFOdWcmL7JYZM7WLTVP5wcTm7isp4KrR5I/na7xW+eimZ2ZfxHnR7o6Nzm7GoZhQ8YwN0GtH0tnWg1VSx7J7J3Pni63SI6tH8Dq1EcUkCxUWHuZS5Eq02n+7dP8TX52Z0uiKUylb+BlZwMv8kd2++22LZdz4L6DRqkql+kFemwce5YSNjzoUSfnzT3PB157P98Ah0RF6nadJorCYn91dcXXrj4BDa8FoxGkA0glxJceF51p3/mQd7P4qwbRHsex/u3Qwh1utQRxLupKTE/PlnZX8yZ3inJr9vaekJ4o9MwsUlhtJSiUgyYngKssZotNcYTRnTXB9neB3iysoz5MXK+OWVb/D29rZIFYGkLFlfJbHFkMlQnZUBUiAIDX0Uezs/PDxa0ISSvheSN5mDwD0bG28OQ8q9ZtYZOSduu2Q1EHT47DMuPSiNcBSlxdh37473I/MQ1GouTp+BQ6BAx5rTnHtpNZ1G/Ye7/G1nFb8a9yrP7X2OVTevIsrTsqd034+ppJ8oYMiULmBDSnfCMUnl0ZZAUAujZ3dCYtqAdVJXAiP7OHQaQVmhBgdnFfJGmulqobJXN+su1hYQRSPbd5j/xiNHpFJVlY5aHQLQLkEAIMIzQioif38DnRw7Mj18Kt2j77Z4YFsLAqIoWgQBgHWvSdTU6beG4jIqGEEpR6O5TFLSs/xkHMnyUVaEkGVyqJEscUvbzuxNi2DjIvP6rYvggS3S37CexHrHjg+h0Vzm7Flp+6HhnlRVZaFWBzb6fV1cottEHuOvwD+BwApEvZQuyYm/AEro2LEjPXr0oKysjKCgICIiInBog7yyIAh0+fY3fFSnKSzdR1io2XOgdqbW7Ij4q3rdsUXpENp0IJn+8kC+WrAPQAqGVgAAIABJREFUV281dyywOkDAaUgc7g+uwuWGYGSOCuzDzQ9532efIe9Ns+TywomPgkvLGucmdJrAhE4TrK6rna1cSCwgLMacXuqxsgdP93ua6VHTLbcfGo3KRr0G9xkzkKnVqILbyCDkYB2JjAMfcSB/PEf/yKD/+FD63RLaNp/RSmh19VNmRhwc2u7c9Dod70+XisB1pb2VMiU+Dj4cnnYYtcJ2+xJBEJj+8kBcvOz5asE+KkvMwgZluzKRu6hwGhyIg0MovQYeQFenf2FDbhEPn7nIPQGevFmXkmrQN/ygzMPm2dx/LkhNZjXw9pIYP1lZ31JRcQ5NzsPsT5E+Z+iQBHMd4n8E/wQCKzBqpIsmQy49kJydndFoNHz33XeMGjWK8PBWWPyJIuxfBoMekTj8oaGc2i7VB7p0WYhc7kBuRS7uRQ7kfXgchY8DxnItPnN7IfewbxgYFpXAnndg22LpvV/zKQZHNzvmrhjZ7Hb6/CoK10i67oEvD5ZG54KAx8yZeMycCeV5VMjVZItK2lJNZe6KkeReKMUruKF0r0xoOMq2l1sfeeu01WAUUdZxg/N77lmLbXJffx23KVOwC7tKdc3Yf0F5HtV7P+fztE8gTWomqizVknwgm4iBts9S2gt2Ki/699uIXl+Gu3vbF0t11WbTHdFoNBkv1UpPtyQI1MK1Rnpk8oJ+rHxG6unpNdgfz36+FjInnmpPbgo1M4QerpGsWHn5CjMDvehW07mMSzN/h7dCIe5xGLXIYrGjYzgVFecoLjEHG6228H8uEPxTLLYCuZOKoDeG8PBLj7Fw4UL8/f3Ztm0bubm5fPvtt83ub7XuciUNti6GxW6wZaFFcbFTyKP09piHXG9k8YHFjPphFEVqqS9Bn1eJsVJPzttHGpqKaEokx6X+dYpUXm3jQyuKIuoeUr7fIcYHQSkj6/l9VBypY6ri5EOqXk7coWTiS9pWt8U31MUiHwxSHeHuyLsb2aMhNr73Jh/ccwdLp4xj6ZRxVJWXNdhG1BsQ9VZGi7bCqIf9H6D3jLZYfGpXFttWJnH+uO3ewu0JZ+dIUxBY9MtpQhZsImTBpjY5ttrJmX+vlLrzD22QCBXxv/zIO1PHc/zPza06tpO7Hfe/HYe9o5I+t3VGHeGBwtWOvPfeI33a9Abb11JOb/d1p0tdEcVgS/Lj4fIpaKPuApUTBNVQh/c2bPbs0X0ZcYMP0LXLSwweLAWkg4dGYzBUU16eQmXlhVZ9v+sF/8wImoFcLkcul5OQkEAfXRiVQtP2grqcCnLfO0rgq3EI8jqj98x42FvTuBYyBH7+Fwx5AlbEEVK7TVYW9w95lHm95uGp9sSw0Au5oxJ9oYact+LxnlOPl/xGTXpj8KNg7wqTV4Lq6uoWRtFIckECUzZLXrg7u6+kKqkStwmdcBpk1hcq3pCKupsn8hpd/J7ODmY10zbGB0c/IMYnhkEBg8ivysfP0c/mfY1GPT6Dd5KVJqe6RAWigEHbUDux1Q1+CjvocjP6M1Jx0MnDjvLCama8OhCDzoiTe9Pe1NcChRVaer+8hdUPxjKwkydf7U8H4LaYxvPdLYXS3p6HVnyN2lmiAHfqG8vub/9LxCDbbM2zks8Q0CUCwQpVVO2sYtZSy3Sn91xzF3Z+/hZOnHwYgJEjJJpqlJMaZU26UFNezp+ffsaEp9MR3wyl6M69nFtbRveb+qByqaktXEkDK7NNADs7H4KCJGZSly4vcvbsYo4k3E55ubnjvkePj/DxvtGm73o94p9AYAPCQkKJ0gcRY5DyqoaSauSu1o1aNOeKAMh6bq+l8mD85+bX6Xuk/0/XowuGj6GDizmvKXdUYijXkvNWPH7P9EfRyGey732Y/JV1xkppNhi04G7Z76A36hmxbgRRnlEEOwezJmWNxfpyn3MELZhkeuCLtTRTEbJfOYTfU31ReErT7vZq0vnspNR5u2bcGqZunGrBLGoOFy68j6b6IpE1Jmihfktw8vAkdfQYdJcuNWmR2WLc/AaGM1KtZsidXQiJ9kJmq8b0NYBGJxW0n/w+kV8fMZMe3p7cuoanyspKkpKSiIyMRKlU4uRuzrF7BAQy779rLXyKK0uK0VZV4eYnpWnKC69QUVxE0t6dJGzawI0PP0r3EaNt+uzi8qMcPdZwdqjVXjHNCmpxZs8Ozh3aD/OfRVhUjAcwbXG9HT2bZgTVokPQTIqKDpKfb+lPolRcnZPe9YJ/AkENNGnFKP0crXLYDUXVDNKb9e6zXz/cqLys85AgjBoDZdvqCU+NfB6+vrXpk7BS5BX1RmROStMD2QJPpsLqKZK7UrdG7BUTV4Ozf4NAELNKalzaf3k/+9nPfd3uo+LyCmIdDcgEcHIIQFbntxDkMtTdPNEVVGEo1CAa2p92fGLmCVOQaUkQAAgKnMGB77/HwbcK147lXMh5krCoSeguXWp+55ZCkOPs74O/qyv+nV3/siCgSS2i4nAOgkqOxx1m/wzHGiOhrOIqDDXOY+N7Bkh+CFVFkPKbdA25BDQ8aBN46623AEhNTSUpKYkxY8YwaJA5BbP+zcVkJZ/hzhdew80/gE/n3AvAIyu/Z+tny0nau9PieMlFpXx05iIuCjmvhQc26d7m6hpjyt+Hhz9PgP8dJq2vWqTGH+TnJa+Y3i+dMq5NWFrRPT5CFA0IghyjUY8gyK9r6Qtb8E8gALSXyyn4THrQuI4NxXmopXG9wkuN26TOIEDxT6m439FF8jPO2C/lGP16WNDPXG4IxuWGeqyUsOFmT9Q3OoKmRkfl/j8huHE5AoWbPQHPx1pf6eTduMNSXhLYucCQ+VZX19I3AX6//XcCnQI5l1pNRoY0czmeeC9DhxyxoBZ6zmiJdUjrcbU319Ip42peSTWOcQvuxi1QKu51OXwIY1nDWkFroDd6U1p4GzfpF3PllacA8J7TE7tGzFgaQ1VVFQaDASenlvvblm7LoHSLWb20biDIKTEXc/u9uhWAcB8n6ffVVsCGOeDfCx6ybkpY1284PT2dbdu2cffd5tF4XFwcSUlJ/Pnnnxw9epR58yQ9ysCuUWQln2HdS+YCfZ9bJpKTeo6slCRmvv0hhzd8T07aWe547hXWVcv4KVVqNuvn4mByy7MGmUxF7ADrYne1uJLVDkG/BrW+xddLj0Br8b/xLVqJ8r1Zptclmy80CAQATgOk6axT/xr2QcZBM3UzZAgMfQrCpBZzobkR4YJrIDf850LodTe43mZ19YROEwhwDKCPbx/TTW6nMls2Dh68r9345e0Jfb06wIh7HqRrjHkmJndxQe7Ssgd0LXqs7EEn105smLjBYrnMUYn9DWMo/9U8GNAkXWlxIKgVOnzyySdbHAwE+8a1rvxcG9YpRnSt+Vu7BsHT6VDZeFf2p4/tZuiUcLy7qPjqq68A2LZtm2l9XXG9goICUlNT6dy5M0Puvpe4u+7BaNCz8b23qCorZfjMBwB48MMvALjl30+Z9n0QeLCDN6suFzA3KYNeLg5WXfNsRe+xE9i7eqXp/ZLZL/Gg3oCLog38DP7H8LcPBEaNnsqjktm74wA/3G61kQj5ZZ3CUPoe6V9TTl8tgCiKiKKO/IKt5OT8TPduHyCXt9A8frrZY0Fz9ixFq1fjOWsWqiBzkOvrZ9lDEBw8i+Bg29vw/0oYq6s5N2QoxlLJhDZ8314Unp4oVCrmfrmG5fdPBeDsoX30HttMSs4G6I0SsyitJI0ybRnOKnMaQmYnx3FQVxwHdUUURbQZZY3adDaFqKgo0o7uJGv3KrqObdrbWm/UWxi/GCsspQzqjuINRpFeHdw4fkmahT5zcwQdver0wajdpX+NfVa1ge1fJzNn+XBmzZqFm5sbDg4OjBs3zur2dUUcBUFArlBy65PPNfl9TOdtFLnb35OnUjKxa0ZjqDnIDXImhzzF9+lvs3b8fYgyGaIoYijVkrciEZcRHXDsZzsB4X8Zf+tAIOqNXF50wPTeZUxI86P5WjxyFJbVE5XSFDd5QzWGOVvnsDdrLzvu3IGHnStnz71MVpaZplpcEo+nR1wTR2gaFyZID8Li1Wvwff75RpVA2w1VxVB0AQJaL6imSUri4vQZGCss6arGigrwlJra7B2deGLtRimgtpG+v0Km4OQ9J9mduZtBqwfRwbkDjkpHnuj7BLH+5tSdIAhNzgREo5EjG9fTMToGnxBz70JJSQnffPMNnSgi3L3p+sv6c+t5Yf8LdHTpyMXSi5y85yQuozviPDQImRWD+z3n8jl+qZijC0fjaCfHroUj4gffG8rR3y8iGqFDB+vig5MmTWL9eon8UFjYvOZTY8hbdgy3iZ35JaYzWmPr6lCi3ohMkHHf1Hd4203SyXJVKtDml2Mo1FC86Tx2nd0QawyWDGVa7Dtbv38lzSAjMpntAzKdUUfvVb1ZM24N3TxbqWfVzvhbaw2JBpGs58zc/IDFA5HZtSA2fnmzVCeoxSLrdnvN4fm9z/Nz2s/IEHmng9RfEN1jhYkSZ2fnx6CBu646H6nNzESfn8/Fu6S8bvDXK3Hs334qjPWxdet/GLX3Exg4D26UOpJFUaTg0kW8OnRsthYgiiLodCRHm1kuAUuW4NC/H2JVFWk3Sg1FXY7EI7+K/HpLcLn8Mjf+eCPhbuGcKz7HQ9EPMS/Gdo+miuIiVjw0A4D5q38x0SVFUaSkpITff/+dyZMnN2rHmJifyPTNEn/+9SGvU64tZ2rE1CY/s7ZfIMzbke1PDLf5XK81qgxGRIOIWiHDf1ciAD/06kSQvYqO9qqrqhllPreXwMWDEBQyDKKIvM4xMhfsabB94MuDEOpJyhcXHyHhqEQ/Gzb0eIOidGMo1hQzZK1EAGkp2aE90JTW0N+6oUyQCwS8OBC5mx0yJ6XtQeDkD/BmiDkIjH5JSgtdJV6JewUBkUf8pItUK/PA23u0Sbekujqnqd2bhSooCIeYGDrv2glAxsx72syhS6u9wtlzr1JUdAidrsjqNnYR4ynpNAK8I0zLfnjlOb5+ah7vTB2PXte0QmNyZJRFEHAaORLXcbeg9PExBQGAs337Ufj11638RtZRVHSIQ4dvwV1uYM/kLWSVnkUtiIS62i7VcOnMSVMQAMt6hiAIuLm5MXXq1CY9eSM8IhgcOJg/b/+TcWHjmg0CdbFw3LUt9rcUobtPELbvpCkIANxxPI3Yg0n83oincWMo3XqRzGf2gEFErJlZyOsFkoDFg/B5JAaHGKle4vd0vwZBAKSBWC127e6F0dh4L9HnJz+nx8oeZJRmsC3DXEfpsbIHRvGvc59rDn/r1BCAvkiDoVj6w+oLNSg8milOlWTCjzV59LvXQZe2aSI5Nj2Bnbui0Pg/RY5eyfnz73EhfZlpvVZXgL1dy/KZBVUFeKnNaqAl681FzuTIKLzmzcN1/DhUHW33VBBFI5cvr8PVNQattoBjx2cCcOnSl0RGvElAwB0N9hkSNARmmKmxOo2GjFMnTO/fnz6JMQ//m879BqJ2shxtifWKv77PLMChCdOX3Ndel+QvWgFRNGI0aiwcpyqr0ikvT2b/geEAvBYIf5Qo6OFlu2po0WUzKUGhVFlIX9gKO7kdK6wJrDWBusZB/1+RUdV0I2d9lG7NoESbT7LTMW5XWad6y+zkqAKd8JjSFffJXRpNCwv1Gs2qq/NRqxsSSgB+OvcTALes///1m//tA4GFt7Ato+Tv6ozA2igIAMjldhbKhdu2Wza4KBW2MVCe2PkELnYuBDsH807COyzov4BpkVJNIP+99yy2LfjwQwSlEq+HZtt8nnp9Ockp1gt/F9I/xNd3rMUD1BpkioaX3Z8rPsDewYnwAZZSAIJKhduUKRSvXYvDwFjc7roLWZ0mpdrGMFEUKfhwOa4Txtv8XWqRdv4d0tOXM3LEWYqKD3Ps2HQcHDozMNbcNBQYMIWiooPk5v5iWmYvg2AX28XrIoeOYMtnHzLusQV0HXj1NZ//Jeh0pSgUzgiCwC8xnU1Ksklx3Ynce8q03f1BPo0dAgC9UeSiptrEMiobZ+D3ZV/afB5N1Qbt7S37K/YfGNaoyujm2zbzysFXTAOEsaFj6f1NbxyVjlZ1sq4X/O0DAUDAS4Mwluuanw0A5Nbk+qb90PR2rUBZmeSHHNNrFXZ2Pjg62sZkqtBV8OdFS8/bgQEDTa/Dfv0FY7UWfV4uYnU1osGI67iWjVyUSheGxMWzZ6+kz2Jv3wF7+wBCOs7heOK9aLWFqNUOGPRGinMr8QxsmLOX1wkEY+c9gbt/IOXFRXTua32k7794Ea63TqB8xw4EpXXTGkEQ8H7EnKu/a+NdvDrkVcJcmxaTMxiq8fYeQ3r6cnJzN3H6zOMAVFamNti2e7d3CQ15BL2+mCMJk3loyOomj10fSpWdqaFJFEUyzhTi3cGZlEM5xIxuIzXU/0cQRZHdeyQCwcDYbfR3C2Fr3y50crAnT2uZLlQ2Q+KYmpjG3mKzb/iTK5Yw+M5pDJh0p+WGF/bAynFSk+X8JJtZfiOGJ7Fjp+Rl0aXLi01u+9yAZ02ziCJNUc0y21hTfxX+1sXiq0JmAnw+Eka/TEnMHFybsdm7GuzY2R2jsYqe0Z/j5WWb0Unt3zFudRyjz0pt+iMfGMnQINu0XgA+33Oen49f5pe5gyjMzkKhVOHs6YWsiZx1Y7iUVMgv7x/nwfeGorLCZDm04Xt0Gg1xU2dY2bv1OH3lNOeLzxPgJPVK1Eft77Vn7wD69F5DZdUFTpyYTUTXV0hOkfSHrlZb/vXz2Yz1dqWns+XM6NChQ/z222/Mnj2b8kwZW748Y1o3ZEoXkvZfZsysbrj7tdLn4jpGkaaIpUeW8vLglykqPsixY1Lh28M9jpiYlRbbbr9Syt0nzgM0q2c19FASZyvN6aPPTm1FX1mBR2AHhk2/37zh56Mk3S+AyPEw5Zs2+mYSMrO+IyVlIQNjt5qkvnUGHUp52z8nWop/jGnaCKIo8ka8gZPaZ3E5P5jff/2Tk4vG4Gzftn/kUN81JOxdwtp1RiY9UURAeNOU1OOXipm4fB9v3RHNnql7eOmllwCaDQJ716yiY4+evHvayE9Hzfnrfeu+4dD6dab3V9OWH9DFjeBujXsUDJg4ucXHbAkKKgvYenErEztPtLr+TNJTyOVq+vfbgJ2dP6lpbwKgVgfTt8/3GAwts54URZHdReVMSZSCx8cZeRwd1A0vlcK0/rfffgPAzc0NXx97Qnt6o6nQse+HVPasPQuAXRsMLHQ5FQj2chRuf43gXU5FDi4qFzRrfqLi0EE6fPghANWGaoaula7Jlwe/bNLriYx4E2evhj0JIz1dGugGWUNRdhaPl2QwRynZa47xcGb8I0+ydMo4zh+NtwwEt38O79cQD+zbXh+ovFySbS8pOW4KBM0FgXytjtXZhUQ42jPCw6XZ2U974J9A0AQMRhG5TOCm93bjolZy+EItP7o7CZO68+bt0W0eBKordWx6Pw+QCp7rlx5j9KwoPAOcrKZZTmaWMHG5JI+78UQ2t8cEEBsby8iRzfsNHFq/Fnf/APp16MhPR83L8wbfyLuekTz++WJCY8wDiN8+XMqZPTsAePy7n5ucKcjlMsbPDoPVE+HutVetinq1GNZhGMM6DGt0fedOT7F33yCys9fTo/syIiJe5eDBeOzsfG1OxdVFVrXOFAQAtKLIt5evmLx/ly5dalpXa2okV4Cy8BSuHlLNIyouAKVd67petZll5H14HADfx3qjvMazi9MFp5m6aSo3h97Mm9PewH2qRLtctH8RP577EYBvxn7D9h21v7FAuvom5h1JI35gVANmT3Oorqzky8ceQq5QMP+B+QyJ6U14TZ3gweX/tRC9A8A9xPx6/DJJdbT4Ijh4gn/rRPjIOUVFiZQ6PpP0JM7O3XBy6mJ1U1EU8d+ZyJMhfixJt2QFXh7es0mdpfbAP4GgDgxGA1+e+pIpEVNwkDvR+bnfGmwT/9wonOwUqFUtu2E1BiMFOj2Bdkoyq3V4KxVWDVWspVG2fCGlEKyZyUT6m1k2X9/fH61Wy8GDBykoKODuyVPJW3Yc38f7WEpiA2d2b0cENq78Avf+Q7nXPoeFCxdytkrLiPgUwpydmLlqPd4qc6CLjBtuCgQVJUU4ezThT6yvhtdrmBUn1kL0VFC10NUtOxHRt4dVaeLWQqXywdt7DHKZA05OEdipvBg29GjzOzYC+4JqFq4tJNVPyephznwXHcbr57OZ19EHuSBQXm7OX9ft+mXVbXQttecoyziz9zLRI4PwDLj6XgiFt/k3Llybgi67Ap9/x1iSItoRIa4hgJQCEmQykMnIrcg1BQGAKPfO7JM70ilsPh063Cudq07PhKPneCU8iBgX26+TFQ9LqUWDXs9Tw4dYpI9cvLyt7/R0ukT//mgAFJw1L78KZYC18RlsT87jkxl9IXE1fcL+hb53LDm5v+DoaN0b5FBRObcel2pQtUHAqbCaveN6k1qpueZBAP4JBAAUagoZttY8euzl04t+fv0abLdvwUi8nVso9VCDaSfOs6+4HLVMoKqG15w1vGeDEZAgE4gc7E/SvmyL5ZGDrDssKeQyts4fineN96tKpWLRokUAVKeXoC+o4srXp/G6r7vFfn6RPdAEhqF38aAqR7oY/9i0kfudJSrp0ogOFkEAIKRXHx5a8TUKpQr7msatgo8/Rpedg9/iRZY53Lw6Ms8bH5f+1WkoaxZF6fDJULJ0G7ELc8N7VtuauwuCQLeodzlwYCQKGxlZTaEoW+pcLXGUglZVaikT/5tFcrA/3XxdeOGFFzAYDCjrFLuN1dUYyvWsLjDThDVfLqO0Ty9cbr75qs5DZifH97He5L53FF221H2d98ExvB+Oxi6k/aWSHZWOzIyaaUFb9nX05eNRHzNn6xxi/WNJTX0NL88RBAXdY9omfVhPDhWX46KQ4bfjOC93DiDSSU2ce9PNW/pqqS4g9hhuW8OZ0Qj5Z2HGelCo4b/mPhQMWslfogVwVauYFVdDSKi5tk8l3s+VK7sI8L8TQWj4iP0lX+o5kuVVYfSRdJrCM7X42SlR6Ix8te8C9wwKuaaKpn/rYnGVvoqF+xbyR/ofDdYdnXEUpUzJljO5HM0o4r5BIfi4tCznWmEw0Gn3ScZ5u7IxX2qImeTjxvo86UJIG9IDRyvt/ssfNiuK9hodzODbm09VFBUdJCn5WaJ7fIyTkySZXbY7k5LNkoNSfaOcpKQkfvrpJ/rExHDw8GEAYrt04l5/6YF7KDaSjuqmbwpNcjIXJprlryOSzpgv3sLz8EGNpETf++FIDZXP1u7rH+6HUz+SqZHqE573dkMd0bga5dXCaNS3iYLkwQ1pJPx+keHTuuLY1wtVViXrl0hmNQNmBrJVsZ5tGdt4adBLxPrHmn6nlN7RZLr35VLASNyLztIl9Xu8n5iP14MPNvVxzcJQrqV0y0UqDpnTDr6P90bp2/pUUdWZK9h1dkPWglmx0WhEJpORkRHPwUNPcjnrZvz9Q1GpVNx6663IamZ9ZXoD4XvMXbjN1Qh02mounM8gSePArb1sMNrRVcGrfrCwAORK2DAXjn8DE1dAr7ts/j4gdWz37ODGz3MH1/meenbsNEvWd+nyIh2CGva1pBVXImoNiI4KEtIKGRnqiY+zPU9+n8gPCZnYK2VodEa+f3gg/ULa5rr/p1hcA1GvR5eVZWqgspfbk1IoFXc2TdpEQm4CA/wH4KRyQimTRm7dA13oEejabBCoziilfN9lPO8yd88eK5VGibVB4FYfNz7uFsK/O1ZRpjdYDQIAvW8M5ugfGUxbHIubr23T5JzcX6iqusihw2NNbBenwYGUbL6AQ19fyW+4Djp37syTTz6JnZ0dw4cNxd6xJnWwQ8ovNxcEAKpTUizeG4qKUHjUXLQedWibR+rwuY1GsCXVM3IhjFqEn9GHnLfiW6zkaSuaCwKiKFJSpcPNwYofRB241HjsdunvJ+X5O9sxdGoXdq85i1GtY//F/eRU5DB7y2y81F7suFNKsXXatgvxhlEEZB0g7LfNyFQPoQxsvXOY3EmF+6RwnEcGU3WqgJJfz5PzTgLl4wyEx8ahaISG2xwqE/MpXJ0MYGFO1BTOnTvHhg0bmD17NlcKP0YgkOJiDcXF0qwxMTHRNIt1Vsj5ukcoM0/aZgGpVNlxXu/M76eybAsESrVlCmjichj21FUVjueP7kJsmJkQIYoiRxIsGyrz8n63Ggg6uZnv6/Bo83lr9VL3sUZnxMtJRZ/ga6MA3G4zAkEQlgATAS3wHLAP+BkIBo4Dk0VRrBQE4TbgXUAOvC6K4vKmjtuaGUHG/bOo2C/JQtjqUFWr09Jcd2bu+9JUvP7N8XFGHovTLgPwSnggDwQ1krdsA+Tk/ELa+SUMHrTbcoUoQnFGA3MaayjS6dEZRXzsmn9QFP/4E9nPmfnRjoMH43bnnTiPHAEKBcJiN/CJgrwzMOjf0H82uFkXLbM8XdFiWizqjAjKv6YZZ0dKHp/uOs/q2Y14QrQAWoOWPt/04d5u9/JE3ycs1okGg8n0va0hGoxkPbePi6FpHNz+AxP/8wKd+lyd1lTliXwqDmZTfb6EwFcGS8JuVupatThz5gzr1q0jODiYuLg4UlKSiIuL4/33l6FQKNDX+EW/+OKLFn/zSoMRAVBbqaOZvpdeT+XhwzgOGkSpRofLVRI3RKNou9hkMyi4spO83M0EBE7B1SWmQVeyLXh87XHWH8viy3v7MjLCt03OC/6CGYEgCGOBsUB3IA5YDfwB7BJFcYEgCN8DzwiC8BawCugHFAHJgiD8KYriufY4L3XfPqZAAHAy/yTbMrbxWJ/HGt3nvsEhKJq4SIyikcvll6EmHyvqLPVE5gT7cIOnC2FquyaP01rodMWmZqgGKM6Az0ZA2AhQu4HCXnowOze8yNyVtl8SbrffhsstY0npJaWAKvbto2KfxGAKfPcdXF4osm30X4Nj2uTlAAAgAElEQVTc3I2cSVqA0ViFn99EukVJTJu/KggAxIZ6knGlsk2OpZKrGhUfa68gANI1ebH8DAe3/wqAo6vbVR/LIdobh2hvqpILKd1xibJtGfg/2x+5ix2nCk6hNWjp7WtW5V23TqIhZ2RkUFxcTELCMVJSpNu7Ngg8++yzDfLhDk0EgFpUJhwl4/5ZRCYnXXUQAPjoX9Ls7F8fjWh1QPDyHI6X5/BWHeOdO3uyZHJP5NeQRtped1g6MFsURQ3QESgARgG1Yjc/AaOBwcAlURTPiKKYDRwEbqh/MEEQZguCcEQQhCP5+flXfVKu48fjOedh02zg+W1T6FGyDFE0NLrPi+O78dwtjYt1vR3/Njf/ZC7syV0aphC6ONq3axDIuVDCgYNSE5lVpoJ7R5i9C4w68AyXCmKGlmm3NAbBzjKFFPxfKQ2kLyxsURAASaLCaJT4+x3qFBL/SqhVcu4ZFPJXn0arILNXcDD/V+wcHOk2fBR+na1TGluC0q0XkTtLD9/qNCn1WVJdQqm21GK7Ws+CcePG0b9/f1588UVGj5auVVUNtVNhRXKkLkSDSHZ2tilw1MJxQP9mZ/aizkjh92fR5VZYXa+/Yu4XOfJbepPHulYQBOGaBgFo52KxIAifALOBhcCLQHdRFFMEQbgJ+ABYDMwTRXFgzfZrgBOiKL7W2DHbslj87r5Hia7eSEjHOZRXnKOgYCvduy/D12eszceI/S6WCl0FiDCxcCSPB8+1sAlsL4iiSGmBhk3LE1H6/hePrpIF4YjhychkbdvbYDQayEo6TWlBPt2GNYjTGDUaMufOo2LfPrz+NQe3O+5A7uqKzLFlhUmjUc+lS1+SmvYmHu6DiYlpHyXRZpGVAG4dwdGSHpucU0r8hUJmDAz5a87r/wHSitOY+PNEPhjxASOCpa74PXv2EBsba8GYOnjwIL169UIul1ssr4viX9Io23+ZfV5ykssl6ZTaFJJoMGAsK0Pu1vjsxlCqJfu1QwB43hOFOlLK5+eVaVDJZRw+f4Wob1Ip0hs5XGGg7+Rweo5sPnXZVhBFkezUYtx8HXGwMoBsa/wVqaEwQCuK4kOCILwNnALKgdrKhztSKqiwzrK6y68J5vR9hn37NpJ+8WMAlEoP5LIWMoN00khjzfg1hOX6UXk8r83P0xoKsytY85LE9nF18Cdj12NMf35mo0FAFEWqq6uxb4HipUGv57N591NRZDYaiRo6ssE0XmZvT9CyD0jp3Qf76GiUAS0zQTcdR6agY8fZpKa9SWHRPnS6Yo4dm0nHjg/h63sN1RxTfgO5SrL63PMORN0KYcOQCwKNeaUYRSN9VvVBL+o5MfMEmWWZfHryUyZ0mkBXj64MXj2YvVP34mrX/hTOvwJ9VvVhSsQU3OykB3NxtVmWfciQhuqfsbGxGEpLMZaXQyPXyzu5BXw2xomHdv9sWnbx4kVCQkKoSkzk4t3TiDhzutE+k7qz89I/L6KO9MRgFOn/qlkeei8uuCtk3Ogqw29A+7iVXThRgNpJiWegk6lhcMeqJM7UUMRdvOyZ8cqgpg7R7mgv1tBdQJwgCLcAZYAB2AyMR0r/TAS2IBWQgwRB6AoUA7HAI+10Tg1gb+dHVORbnEn6DyOGpyAIshYXdw5PO8yezD2EuoSi9nRAHdW4rEJb4PzxfH5bYZlnLjk/lMnP9EGpbPwhs2XLFvbv389jjz2GWxOjqFqUFuTz2dz7LJbd9+6KRrnNglJJ0Mcf4Tx8ePNfohkMHrQHvb4cpdKNsvLTnDr9byoqzhEW1ngtp81QkgXDn4V1M2BHTc/DkS9gYQHhvs6E+1rntR/NPYpelFIX0V9Hm5ZvSDVLfyvbeKZ2PWF+3/n09e1LUqGUqnlh/wtMCp/U6PZGjYaz/c0igyE//oC6m6WL142TIjn9e7zFMm2NLLlD7950TTjSbLOh84gOlO24hNtEiYItE6BnkCvFVTqevyUKvwA3ct44jOfMKBSO7fP32fzRCYv3//p4BNnnpRSayl7O5AUNe5auNdqrRrAM0AApwC7gKeBxYKQgCJmAE/CaKIqlSFoKfwJHgGdFUTxr/ZDtA3//27lhZBoymeKqKvxqhZoxIWNwULawa7YFMJSXc27oMHS5eSTUy2PesUCa6X3/egLlRdXsWJVEyqEcUhPy2F2jX5Ofn8/+miK5sa5149k/4Ph3Vj/z7IGG7k3aqsb1dwSlEucRtgnkNQd7+wCcnLrU2ANKcHVtvc2lTdgwB9Y/BMk1+kr3/QZPpkIzNNO6Hsb18Wrcq5y852S7XiN/NaZFTqOrR1eGBUmNmc35NMjqzUyLvv6arPnzLZYN9nJhYT29qrAwMy3ZltRjrSlN/seJJjbaz/Pi2PXUCEZH+aJwsyPojSEWAzjRIKIv1jR7bFtx62OWvRAfzdmBi6f0/bUaA/ZOUgAqqdSRmleOznDtDWzaZUZQ84C3NhwYaGXbn5CKx/9zqK2/CILA5eIqxry7m/JqfYuNQjRnzqDPyyP/g/cZ+fBTrHlVkkKQK2V4BphvhpXPSIydpAM5iEaRUtckypzOER8vjapuueUW3N3da08OvquR6O16cwOv5ZibJ7DrG0s995y0c/h1st4239aoqsqioqKmT0GEvMEPY/z3I3g98ABCff2YtsTda+HiPjhZI7qnVINT85TfO34188c/HvUxgwIGXdf68+0Fd3t3m20ZlcHB6DIyCFi6BJmDA9UpDceAUd2icHJ2wmg0Eh4e3uJu2/JdmabXussVqKzodVmgLAddqRN5y47h/9wA5M6tv9aCIjyY/nIs3yw8aFp28dQVbvlXNJ5B5vM5dOEKs1clALDjyeGEel07nai/35XanjDo4fR6uJKGaBS5/OJ+sp7Zi2gw4iXI0FTrmz+GFShqNFNKfvyJvNEDuW2iihEzInh42XAUKjmhPc1FzVlLhyDIQESkWp1vCgKRkZH069cPIXE1rJ8Di+ukh7ITqQ+5QoFnkKVG/rYvPiJ5/+4G27Y1RNHI/gNDSTzxIKEhj3DDDVKDXMEHyyjZuKl9P1yphs6jYOh/pPcFtjGZF8YuNL3u7dP7bxkEWorgL7/A/43Xcb3lFtTR0TiPakhEUKlUdO7cmS5dulyV5ILX/WZpFblb002S4muBGJf0Jm+Z1BGuy2sb2jCAq7cDUxda9m6ERHvhXMcDpS5T6KMdDf0w2hN/q87idsfLNdNLtTs5wveIWmmKl/P2EQzF1ezEhRsobeIA1mEXFkpkchIVBw+Sce99ePXqjL+fubA1dk40mcmFuPk6kH6yAKNeREDArsqbbr0iGDyml5mZsWFOww9wtc6UuHfpRwAsnSJRAAO6RNI1tmlnrZSUFFavlgxbZs2aRYcOLWNhHE+cxZUrO03v7eykXoegj5aj8PJCHR3dyJ5tjGH/gZhpEnvIBtzZ9U6q9FUsObLkqr1pq1NTKd+zF8/77r2q/a8X6HUGPnlkV7Od8YqAQI5GKDm17RzbvtvEK2659Fj6epuei30Xd4LesG5VWReV2ak4aGuEAcfqCBw4zKp/cWvgGejE3BUjObI5HZ8Qy1SiVm9k1kozG3JERNOObG2Nv7XWUJvj/Z6SWBpwWbMKI+74zu9D1Yl8SrdmmDaz5cK8GpTkV5qmn3e9OIBvX9pL7zFhDJ5UL51T+zc/vwM6DGhWIrrg0kVWPjnXJl+C5cuXU7fX47777qOjjZ7IoiiSnfMjSUlP07nT03h734iDg+1+ytcD6ndFtwS5b79N4RdfEnHyRKNObNcKB89foYOHA872ihY1a53Zd5ldexIwpkvX1Kj7oujaCBvnQkEFI5bstFi2b8FIAt0sZSsM5VoMRdWoOjQtQNcaHPr0JQZclhoY19v9m/PHpVnB1XhxtAQGgwa53B5RFAl9ZrNpeYSfM78/ZruplC1oij76z/y1LfGoOcXipvwc74kCSh8HXEZ1RPV4DMlDffF64OpVNI1aLZmPPkbJrxvJfnFRg/Vpx6QHsJO7HT++lYBMVHL8j0sNDyQI0r9OI23yCfDq0NGmG2Ljxo3Ub/hzdbWdLikIAgH+d3DDyDQ6dpzdaBAQjUbSp0ylfO8+m499rdAaxUhNosQuMdSRrP6rsOiX0wx+YzvRiyT+/rbtndi2vROZmd/S1OBxx6pkUxAASNqf3WAbjc7A8h2pDYIAQNLlhjNmXW5lm9OyDaWlVJ8zp/36zXqO9InbSZ+4nfPHjyGTS8mSTR+83aafWx/79sdxMeMzi+tmyeSebR4EmsM/qaG2xJU0dMaOaFFQPvdTvLzNRUYfXydGjW1lo5lOR9kff6AKDkZfUEBlQgIOfcw2jOF9fVE7Kdn+dbJp2ZTnbaemGQ1GPp67E6jjfVCeBxUF4Nt4d3Uthg4dSv3ZmrwNpBNEo5HkKIlaaN+9O5pTkqn5pQceMG3jcMNigj+4A8EGaYLrFZU1v925gYNs1sJqL/z6SBy9X9rCM2Mj2bXbLBlRXnEWUdQiCNbz7Sq1Am2VVAt76INhKOoplF68UsGwt3da3fer+/oxvGvDlIh9JzfsO129LIY11FJXQ9atRR0djUwuJ6SXdC89sXYjJXm5fP7ILJL37SKsz/+1d97hUZTbH/+8u9n0XkghlFATIPTeiwJiQxQ7NlAUEMV7veC9ohEU0asogh0LooJ6FRBRUAFBejO0ABJIJRXSs5tky/z+mM1ulmySTbIh8GM+z8PD7uzM7tnNzJz3Pe8539OfmCE1NzlqDIMH/YFkTjtOenXCZZWersrVe9VcgUh+UWRXvMt/Vbfw/gcfsHDhQtt0zUai8vKi3YYfCXlmDn633FIte8Yn0J3oQda+BTGDwwmOdHw6veMb6whJkiTST+VRcfh/8P4gazipNvvs5HT7+DRuOm8sLLQ4AcDiBC7lWNpunv7P72iTHJS5vsLJ+HfzNjvXqFUce2kc9w5ojcEg/6YjRyQQ3fklVKqaF10n/bM3kdEBPLBocDUnAPDijycA+OnJobQPsc4c9v97jF0n0BhK9magzyqlrDyLLVvbk5L6seU1r8FyAZdLqH1Rt51rrFXtfiHOE367FBcXbzQa2ck1lxMAxRE4FeGiwmuIbZWkvZtjbRSX6WuderuZU+h8x43FI7Z6mEkIYZkF2JuW14RkkjixQ+5bPPWNYSTszGD92/EkbNgj7/BS9RGZtqiCrHPWG6+3tzdxcXFMnTrVsq2wsOE3ZlN5OX8PsKp+urZta31Ro8G7SpbJJ8GtWY8evbvzT2mTJFGgb1jGV33wuf46y2PXVpH1Pj63Qk+yzjkaUvZQq2UHUFRRxJhvx1iq6qsS1NKbW5/uZZMNU8mSX0/zx2k5dJiap2Xz08P581+jWD9zSL17fThCwbqzlOXmsmuX3C+gotwatqwUn5TK7NcL3Dj7We5Z+Aazv/gfEZ2i7e7z/wnFETiZgJvb2zwvq+FEq4nYuF+Jeu5nVu9PrXvnmmyo0qe2apOb2shNK7Y8dvVQ03lgGKFRvviMn2XdqcQ2/n/w52R+Wl499bRVq1Y899xzzJgxA19f5/URaPn2W8ScOknHPbvpbG6K3ungQQIffphnWht5dmxH/MIdn4GkpqayZcuWWh0vwK78Eh4y6+OnpqZy4MAB4uLiSE5ObszXsaEiLY3i32S9qFafrCD4CTvZXXUQu+sEA/eeJElbjsmJSSAuLlUGAemHGLJ6CDm6HBILbFMcc1OSOLqlepOnSnq08rcsBGcVluGiVtEq0JMerZwb9gF5YOM1MBz3iFBGDD/CmNFn6djx35bXgx6Vw4qZ5j4I9ojoFI3GzfkO6kpEWSNoAp588km+++473Nzc6qXtA/DHP0ey4UgG/h4aSy+EJXf24Jlv5RuuI8VoZSX6OvepiqTXkzLpNry6PEz0qa8QpmG4aDTcMdecYDAiB15uAaU5NsVVf+/PolxrsKvn7ubmRosWDZvqFxQcxMenC2o3T7uxcpcAa/Gb2tuL0Ln/IhQYBpQl5nNhxXGCpnRBMpjwiA22Ky28f/9+fv5ZztIYM6Z6/npV+vl5saJbFAB5eXkkJso3wM8//5wpU6bQvn372g53iKpVsjWNUh1l0D75N9vRP5pOXvXQliqp4OKXJwmZFotwsY4RRww/ZN3puwcZ76plk7cX9/98P3P7zeVA1gHm9Z/H1/+S1WGKcnMYeveUau8/JiaUMTGhrNydzP0DmzYbTKgEARPtd/ZLvvsedPFyA6bWn3zSpHZcSmm5ga4vbubLqQNIy9dye+9IXF2afzyuOIImICgoiMcff7xBx6pVgjd/s62wrHQCjuLl78bMD0ZTmKvDL6TuDlJZL7+Cd2kGAw7I2jqSwWCbvujiBrd/AkG2F9akZ/uwbdUpDs95Dc/NK4k+fgxRh6RwbUiSkfj4R8jL3wlg6bRWHypTDC+uSgCgYGUubZ4fgU+grVTBnj1yyGv+/PnUhbtahbt5EdrLy4vTVTqz1Tf0VxMugYH43nwzhtxcvEePbtR7fdW9HVOPJxHlQJe5qmS+LCt11roedOMS/qvxYNOOGQC8duA1ANr4tuGRpR/x6VOPsW/tN3YdQSXNLetd6QTafP1VnVpFzmbTcbl1qIeris0nsijQ6nliZOMHEo2l+V2Rgg0F2vqN5mvDEScAULjequ6o8vJCMtrpzxB7BwaTICf5HAC6I0fIHtWXmA5GPDevBOSZRWNISlpucQIAeXn1Tw9VubkQ8dIgIhYMJvCBGDaf/5SPnngQg1msTJIkysqzeOqpp5g/f369s5qioqIsj7t27Wp5rr9Qsw6TowRNfYTI5csavWg4JsiX5BE90NRT0z5sXj/8boiC2kaoncZC1DCOPXiMow9YxdTm9JmDX4tQ9nXJ46Jv061TNISKtDQk898fQGUOV3r0cp5+1eBXt9B23kZ0FUb2Ze4jdmUsC/YsqLbfrT0j2DBrKH3aBDL/pi6W1pTNjTIjaGJyK/S8mZzNo5HBtPese5reMdSbhwa3Je4Wa6bMkbQCbn13FzuedY6o26VEm4tnQK5VUNnR8qmsLgaY/fbHJN91NwDi39YGMqKeYbBL8fSMsnn+V/wDDB92EI2mfn1bVW7yae3ZJZiH3/oQDx8fXMzf6dy5JSSnvIda7cmA/pvw8Khff2AXFxeeeeYZTp48yS+//MLNN9+MxqAi+42DRLw0yPLZ9UWSJNyjG7coGT+4K3sLGl6DoPZ2RbirQaJaj2t7CCGY3Ws2J/NOIoRgyd23cnJCMSfbFnPXjl/pMXxsg20h5xT4RoB7w9eY/jiRwTtvf0fczo/RSEaiTyYghKDj9j8QLi5Oy9JJvlBKRqEczis3GInwlhNG+qV3Jn3en4TPH4jarGzqolYRGynX1rQP8eap6y6PdlddKDOCJubBY0l8fv4CQ/ad4l+n0wjbFs9POQU17u+uUds4AZAX2ZIX30jroLrVKw35jWvnYM8JVGXqrLkkjqoeukhb8GyjL6wWLW6oti0tfVWj3jMwoiUePtabiSGrnICUsRgNWgoKq0gcH1kDcX7yvzrw9fWlV69eTJo0CXd3d9TergQ/0q3eNQxlRhM6o4nJ8YlsutD4tNcwNw0up89wx9ub61wAt4dklChYm4ghz/E1ike7P8qSkUsA0Lh7EJonh6O+MGxy+D2yc34hL3+PdUNFKbw3ABY3rknMQ6v+4nBQB9J9zOta5pmuysPDqZXbkQHWmXfPBb/RyqcVO2/4g9hDskMw1uP3bC6UGYEdPk7LxV+jZrKPCTyD5CrcBvJm51aMOiDHlL/IuAjAtBPJZLXoWdthDaL8zBnO3XwLgF2ZgmPpBRw/X8g9A+q/UFdZWVzww1q7r3cfN67e73kpKpWG0aMSARN79l6PTpdCq8iHGv2+VSk6dxq3skiEVOXU3/UO/Fb3WkFVXF1d6V5F98i9k+2sxVRmwKQ14GInjRJgRXouz585b3n+ZmcndMbSFTDrZzmzK+GnZXTtNwrCHK9kV7mpUfu7kf3GQdw6BeARE4hX/3CE2rHzf/bK75hpMpJWnGYZFdvj1OkXOH/+K7uv9ei+gmBN40fJBVprKGjG6H+ydphno9avauPXhGyW3NmDBT8lcH2MXHOgyZZwCfEgZHp31N5N332ssSgzAjvMTzzPMyfOwn/bw+u24QrKix0qrpIkiWPF2mojvWfahpI2ooczzbWQMXee5XH6U7ZNXIpKddy8fBfPrT1us9hZX/wn3YZHL6v9mrGjaHP0EKalqZT93fjmckIIhFAzeNBWxow+i0bjvPRTgH5TVtL2lvtxL+hA4arzaJOyrE5g0scQ59jIPH7zRnJ+fQ9+f8nu6xlxe8h6/QCZr+6z+/qtLWxTJvvvPcm67Eb8frp8+PouXJBHvTfuas/zyz4BQ0UdB9pyKO93vkl6jS82zyP5x73oEi5aXtMbTegq5PefvfovLpZUXwtQq9S09WuLq9r+zc9kMtToBADUai/wi4QHN8CTh+tle1X+s8628LDLuKaRbDCaJGZ8dZhnvj3C+2Nf55/D0zh6bCb5QVsInd37qnACoMwI7JI1qqech+25CE5tNIcLBAx4HIozZf3+HndXO86gly8SF42a7AoD1x+Us3+eaRtKX18vRgb6oGqi6sGtW7eimfEEwbPkFD6vQXLrh/z8fNatW0dScgrQj74uaaxefYAZM2Y0LL2zvJi2nX+BzqBvdRNMmI8oFpi0BoyFV9YiYU1oykKJOPoELhV+5H14Bs+nd8n9GPxqXy8w6PVknD5Ji6h2bPn0fbr4ZXNDxN9yNlXrgRBUPfsj6MGudt4JQlw17BoQzZB9VjmQxxNSmBhav/UQQJYBeUMeRRuYDcBtUUaSU8IwSoL6LIcXuuTi4uqGoaKcXQXr6drV2lZk1Bt/kJ5vXRSfd4N1TUOSJHbs2EH37t2tPS/soFK50LfP9/j6dicxcTGpabbpm15e5sy0qMbduN+c3INQH3c+3ZXEz7OH4eZS869QYjDipVY1KLT5wXZrZptWm8TxE08BkJu7iZYRd9Xf8GZCcQQ1oBICBs2ErpNgSTQgwb73YXY8+Nq/YfzywXFatPEhaqA32pIS5kWFsTgpi3+2DWsyB1DJjh1yn4AHXl5Ii9BQvM19YnU6HSkpKcQbZJsL3cPAkFU/J2AywQLzxX23uaNZz/vQTHzPZrf8789QllhA0D2Nr8QsLtPjUw/VS0cpK8tgd8owVEM8cSuJpOOQuRDWrc7jSgvy+WC6bUpkjt8A6DcC1s+Q+xrfaZUlaPnKEAy5OjRhNYv6tfd054GIICLcNCSUlvFOdOsa962VDdbZ357JoG09Ar3RxPi31bSf/yu7541m8OKtPDGyPXPH1/63ufflN2tMqfx62kCG/3eb5XmAp3W0u3HjRg4ePEhCQgL33XdfrYWEfn5yWFStrr7m5eoaWKt9juKuUfPCzV144eaaNbIkkwmhUtHhz2OogIxR9Q/XDoiy2qtWe2I0yj0M2q4diDTKcSVaSZLYm7mX3qG9cVPXL+3XGSiOoC58w+H+76HdaKgj53j89G5IGFm0aBEAcfOfZ8LZ1YjTmRBdfSG0KcgMD6fdkCGW52HmvgXl5j/1mRINK5542O6xNVJYRcF0zb0g1BBzs80ukYuHUXG+BE0t+vOOciqriCmf7GfdzCFMW3mQk5lF/OP6Tjw5pvGx4+ISudjKpNHSZcxC/Pz61HGEjKdf9erXC6nJSEM+QBz4GBLWw/HvodvtAAi1qlYnUMnrzlgbuPMLSN0NLfsS7ir//pXFiACDF8vV5R1C6ujOBRYn8NdvqWQmFjDhie7o9Xp0Oh2tg3w5t2gCH/15Di83FzyqaAmNHj2axMREsrOzWbJkCXG1VOxW0rLlPSQlL7M8jwi/06Gv6wy+f/VFEk6dZM/tj4JPCCYgSVtOlGf9bsIBXlZn+Pm5T/jkge7kb/+J3N/mcyqmC9EnjiPqSFGWJMmmzzVA/JR41Crn9kOoDWWNoAZMJj1abRLnkt6RO1Y5UHiicVXj6urKvHnzmN9PBwuD6HRoGWLN3VDedNLCpaVWzRdvb29Wr15NQUEBubm5LFgg5zKv/c9dLL27J6vujXa4P4CFgDYQaO4VO30HvHBRDo9dgmtLb5uK1IYy/u0/yS0uZ8jirZzMlGWJLy2yayghwWMYM/osY0afxd+/r8MjNiEEbubq3wmzn2XO13LthXi7Sujnj9ecYmO9UbvIoRRXqxNu1UoekU8a3tay7fY+jusX7f4+kaQjFyjJL+f3339nyZIlmIwm9q0/y6NDo5hySWWwp6cng81CbpcW2ZUby4nPiSd2pe3CtZtbKF1iXmfokN2MGX2WmBjnNqUpK9Wz8rldnN6Xxa8rjttkUgW3aoN7eRlDfa3Oen7ieXtvUyvtQ7w5tXA8AH+czqX9f7aQEWSdWUiG2jWq9EZ9NScA8N3f39XblsagzAjssH1HHwwGa4pncPBo3N3CUas9UavrLtJyd3cHd/PoS3tRDiW51T0aayhqtZrWrVuTmprK2rVyVs/p06cZba5Qbd26NWq1mlt71i9n3obZf1XblFFWQe89CXzSrS2dvdzp4ECdREOZ1KsRtjuJWZ9+g6GiArVGgxCCvjdPgsQ/rTvc/71jbyRJcP4QrBgDMw9ASCPlye3wj9u7MfuzA/ywIxmA2AHh/ONUKi91aIl3LfHySiKjA0g/lc/K53aRGyYveCcfz+Xw5lRO/JnBtCXVY/j9+vWjQ4cO1XpQ9P3Sbi8UJEnCJegWXDXOvw1JksQn/5D/Nr9/JleZa4sqmPiMLKndeZAcOo0Z1I93dsuKqEsbGJor19sWhXlHhBF14jio6l530Kjthz/fi3+Pu6Orr0M2FUqHMjuc/juO9Bry10eOOO6QMwCgJBfpx1m8N/gtlqZd4NHIEJ6NCq/7uAZSdTruWhaMX4EcH73r+X71kqOuCa02iT17ZYVMV9dgPCPncG8yHdgAACAASURBVGOSNeb8SMtgFnWqv2rmpVQNa1Tyy1PDiAl3bgaRU9i1FA6sgOtegm6T6t5fkqoruT78C7Qe5FCasrFUD0YTIDBp9biEeNRYvzBi/ylOF+nAYAI3+eZ/YFAXWrnXncliMklcSCvmu1cPUuSXQLnHBeLi4ijI1uLupcHd2/H1m8qZwMDwgXw8VpaCNul0FLpoiNkpZ/d826M9wwOd14FMkiTOHMymvNRAx/6hnD6QiLePP+17V7/+TJLE5guFjAv2a9BaXpneSPR8uW7iwyl9GNfVfke2mliXuI75u+TMtef6P8fezL3M6jWLTgHOHSDU1qFMcQQ1sGWrbQZIePgdZGb+j9691xDg73izl/9l5THrpKwk+t/OkUyJCK7jiIbz7bffkpAgj37UBg8CL8h2dhsXxIjbGp+ympn5PQkn/2V53rrVVDp2/Dfb84r59Hwumy8UsWdATL3jrJcy55t4fj+ZzfqZQwjwdEWlEvh5NG/rRqdxZA2snQ4t+8B9/4O0/RDYHt7tC32nwk1Laj08fd6f1bZ59QvD9/rWqH1tf3dJkigwGC0320qyHFwUrXTIzxZ48Pi7IxrVZMgkmVAJ2WHpDEYODBnGnYutyQaTwwJYFtM0QnSJZ/9LSsoHAIweldgkuv9leiNFZXpa+Fy5aqVKq8oGMHLEMdq1e8by3NdXvpGePu144VGh3mBxAkCTOgGAO+64w/J4wPBePPTaEO57uR+Db6q7u1hdGAylnD1nvUnFRC/Gx1ce6Y0I9GFYgDya+y47j935JZzVNrya8q27enIsbhztQrwJ8HK94pzAhQsX2Lt3b/0P/Pou2QkAjHxOngG0iIaQjjBuEfSuWagN5CI1e5QeyMKQXz11VwhBwCVhl4+6tq232Y++PbzRneYqnQDA84nnbZxAJ3dX7gpzTraQPSqdAMDWbfYVSRuLu0Z9RTuBulAcQQ2o1Z5EtZ1Juyg5Na/SAZSWnqntMAuSJNHZPBKbFxVG5simKSKrSnZ2tuVxSEgIXn5u+Af7oHFCOb2Lixd9en9rWWgtL89CmAVpigxGS5XskuRsJsUn8uo5x5viOIIkSWxO3kzsylhiV8by4C8P1n2Q0z7bhCTJNSJGo5Hly5ezadOm+sk4HPsf/F1FduGrO+C1trDUfF4MmgkRtYugqdzlm3rAHbYhg5DHu+PWpuawWccqM7THTiQ7bHLy4htJenUCru7OjeE/1Uauvj20+Ru2zbiXH47vYmhA0zWm79y2kVLTOSdhz3t173cVo4SGHKCi4iImSW/pdDRq5GlUKuvFUaY3klGgI8LfA3eNPHIymCT67kkgq0LPn/2j6VgPXfiGsmjRIioqKpg7dy4eHg6uYzgBSZJYn1PAh2m5aE0mtvd3fken1w+8zqoE23WbTbdvoqV30y0iS5JEcfExziS+SlHRUYYN3YuLiw+lpaV4edWdGmrBZIQlMTD8Wej/KGz+D5zdBnnn4KGNEOlYCqskSRSsP4vPsJYYLpbhEuTOhS8SCJ3dC6FWoTdJPHkyhUWdIgmsMhMoNhh5MzmLG0P86eXjiUs9VUmbkrM33kTF2bNEJ5xoMknoSsHEgVP60qFfX0JDb6rjiCqkH5QX9QFm7IUWMY2ypbw8h527BqFWezNi+F8IcfnG4rWFhpSsIQdwdbXVshfCdpo84r/byC6Sp+aVjWNcVIL4IV0pMhjxdSBL41KOb/uN4rwLDLr9HoePqTBL7a5bt46xY8cSFBRUxxHOQQjBxNAAfr5QSHATZIAA3ND2hmqOQC2aNs86O3sDJxLmWJ4fP/EUPXt8WrcTKMkBrxDr4u/yvlCSDaHmwrWxL0NFCbjVbxQshLXZikuQ7OjD5lidSOyu4xQYjKzLKSBteHeMyL0UfFzUxHW4/FlXugojBpOp1sLAsPnzKd21q1F6XrWRnmBdH/F2609o6ATAugbYv99PeHi0xsWlhr+ppkpdTHDnRttz6LCcCWQ0lqDVnrNWUjczSmioDgoKDrJla3uysn60bLt0sanSCfSI9GPZsmUUF1vbPtbXCZQW5PPmXTex+YOl7P72K7avcmxau3fvXkuj+NOnTzdIfbKxfNilDQs7Ns0NJ70kvdq29+KbZrp+6PC9bNna3sYJtIp8iIsXt1NecaHuN3inl5wZdPx7KL0gj/wB2siyHwhRbyfgCIP95RTl+1OO88rCBXTfdazGfU0mOz0nGkl5eS6Jia9hMMh1LX+eyWXp7bP4etgt/Dz+DrvHeA0cQIt/PNMkC7hGg4FvXrLqb/2+4j02vfeWzVrL/gM3sX1H9Tx+C6Fd4MUCuOltkBr3m2m1Seh0KZbn7u7NnxJdieII6uDQYVkv5ETCHDw9oxgyuHrWxvGXxrH92ZHMjNFz8eJFli5davN6RXIyWgfDWW5e3qh8raOQgz+t5fAvGzCZjDXe3Hfv3s2mTZtsHFBwcNMuTNtDCIG6iUZ249uOr7ZtT+YeO3s2noICW6G4fn3Xkpb+OQCumjpmWSYTeLeAzhMgcoAsXAjw7FkkSeLdx7fy7uNbSdiV4XS7P42NImtUT7yT5Vaau/vYr8T+e98u3rrnVo7/8btTPz8t7TNSUj9i+47u5ORu5vouoYwaHIN3hZao5BMYCx0T9MtMuMjfn5+Qz/fE3+XMqgaQm5JkeewdIC9Gn9i+BZPOgDDazlKMxloaCwkBfR+GGnL+HUUI2+MdTkO/DCihoToYPGg7KpUrkmRAo/G3q4/i7eaCt5sLp08cQ20wYEBeVFQBptJSzo6/ATQaYo4drXbspbhoNKQHa4kosm7b9vmHbPv8QyJjunHnC4uqxVK7devGr7/+CuBQab8jVIa0jJLUZDf3+pBanGrz3FvjzaobGteroJLdGbuZ/tt0XFWuHJpyiKFD9rBzlzx6HzhgM15eHejW9R2CgobXPXJVqeCeNfDtA5B1BK6Lg6gR4BFIYa71ZrPrf4l0HhCGugn61c6fP58zZ84Q5Gn/RrNhiVzBm3zkMN1GXue0z01J/djyOCMjlRYhgj6TxpG06kN5o7r2282GZUdIPWFVO/U+X0yEz7/kYszpO+ptT1j7jkxbtoIVT06jJD+PZ9ZssPz9JLXcTc+9sB2+OYNQj27am7LBUMzuPSMsz0NCGi/b7kwUR1AHHh6OFUhJRiOt3nufViD37lWrSX96DsWbNhH67+fwv7vuKsE9GXt47LfH8G7twqSkCG5YtpjNs56zvJ5+8jjpp07Qqouctmk0GnnzzTfRamWhqxdffLH+X9AOqzIu8Oxpayhm94AY2jWyNqCxtPFtw293/MYt627hx4k/EuZVj6KdvCRZL6llXxsZBpAXYKf/Jqd0VpjkNRY3txaMHnXGZiEvNPRGxz8vpLNcJOYZCFiPq9o6tEJnYPVL+7gnbgDqeja0qQu1Wk10Ld3OZn32DakrZtLS/Sy6o0fx6F5LaKQe+Pn1prBQnvmuW3uejh1K8ezcmXYbf0LTsiWqSzrY5WhzcFO74ePqi15nsHECMe4qTFoDjH8K8hzrXW0ymcwy5lZn7RsSSvfrxtNxwBC7Tjz86BO46kKoSC/G1QlFlzWh1VpnJ6NGJqBSNe/1dCmKI3ACJ6NtMwkqG2C0fPMNMt1cCZgyxaEY6ImLcql7iaeBL25I5XrJyIRZ/+Dn5W8yef4iPHx9CWnd1rJ/SkoKWq2W6OhoBgwY4LQ46zspOTbPB+876XARUlMS5hXG/vv2U1qQz9/7duETGExYh04237tqIeDoUX8jUME7VWz/TzZorDekNafX2P2sRmdzeFbPi6+0s2O/UMZO7Uq5ztBoJ1CSn8fKZ2cxZfFSfIND6tzfUFHB6T07+W3XBSYcP0Ob3o/W6/N0Oh2vvWbVVHrssceIiJCb0MR2W87efdfTtcsy/tyxha1btxIZGUmvKr2BTZIJo8lI7y9lqYfpvV/j5QsRIEms69eCQwdycPfSMOqNofLvdTJf1rqyQ2ZiAR6+rrh7aXD1ULNkyRJiYmK48Uar8xVCcP2js6odO2b0WcrKs1B19iZn2V/oEi7W6gjys0r5Om4fd8/vT1DL+svF+Pp2p1u3ZZw4MYcKfT7ubvJA5nBRKeFuGsLdmrdvgeIILqGk3ICXq7rBN9WW71jXB4RaTcRr1YXIKis2T7883kYn/eGuDzMtdhqn807zRcIXLD28lE/HfUrMMPu9iiulpCdNmoRrHS0m68NrnSK59+g5m21h2+KZFhnMqZIyhgZ483Tb+pXROxNtUaElvDHltXcIjAy1u+C3dVsngnW+2FRwGMstjkCSJH5M/JHuwd15e9TbBLo3XVFTJTM/sLb5dPNo/OWnLSygrLiIj2c+bOkiVyPlJeyeM4QQt1IgmkJXdzz72tcBqomTJ0/aPK8qMOfmFsKI4fEAxMUNIzs7m/j4eFbNfYqcZHlUvzM2l8TIUhCCN3IKePBCBCEFBvy0Js6lyUkXU98cZv2AS1RuAS6mp3Jo4zrOn+1OQcZ6WsbeTIJODh0dOHCA7t27ExQUhKdn7Uq47m5hGP31aCK9Kd6ahnvnQFSeLmhCrMeZTBLrj5wnXLjQZ3wbAiOs2UWHU/OZ9N5u/n75BlzrCPFJksTx409aPreS3y8WsSQ5mztCA1jepWkqqx1BWSyugk6vo9/Lv/PjEduFPGNJBbkrjlGw8Vy1Y8rPnsXvNrl5h8rbG9+x1Rt2FxUVYTRWzzgoLbfdVik7m16Szo9nf+Rg9kF2nt9Zo73e3t7ExcU51QkA5OvlrIq49rbtBlekX2BnQQmLk7Kc+nn1JaR1W65/dBatusQS0iaq5tQ/IN+1kISh/ZBeLJC7j7lbBdEmb5jM8YvHOVNwhhDPELuyvwajiQ+2n8VkurLqbSRJ4uyh/Rz6yX7rULvsfY9Y/yxi/HLpf+sdDDgc7/Chubm5xMXF0bWrVW117NixFplze4SGhjJu3DiLE+g2eiyPbNdzi64zLkJNz5s+BSA838h9fxaQn6V1yBZXD08qdDo69g1A4+ZLgna7zetbtmzhrbfe4v3338dkMiFJEm3nbSQxp7oCsKQ3oU+Xt+e+f4TcD48iVflbCwG7Ei8i+WgYOLG9zQDxcIrcUa5qW8yaEEIwcsQx+vaxFSb8V1Q4vXw8+V8t3el0RhMnS3Sk6srRN9F5qMwIzBzKPsTSw0vZ8OS7RAXbTv1MpXrKEwsoTyzA/8Z2Nq/pjh6j0Kz42earLy3bJUkiPj6ezp07s2TJEgYPHsxYs5NIXnwj+5PyCPC0n4Wg1VsviBlbZnDswZrTAO1RVlaGq6trNTlgR7k9LJCJoQGohSDurK1TfK9LGyY1pItWPTFUVOBSi4Prft14ul9nzSSKiV5Mds5GojsvxMOjFaWliZzPWIOvT3datBhXbYa3PW07p/Pllp06g45zBefI0eWwPnE9rw6TZxsPfrqf7X/LPYBv7RlBuN+Vk+WRm5LEutcXEDNsFA+/9QEB4XWkIkoSbHuFAFeQWg1k2L0P1br7mdIyvsy4SInRyKudInFzk2Pa585ZB0MDBw50yNYeY2/ENziE/rfeQdmIsYx1deP+CRPw3tSR/0S5M2t7Z3KCOvBXm5WMnSrLoRgKy5EqjDaj80p8goK56em5fDtrG+HhbbggUpk2bRoRERHodDq8vLxISUnhs88+Y8GCBZwNlhf+/zyTS4cWttf2xVUJNs/D/z0AUaXgTgjBG5PlOaXJaEJVJZQ3bVg7pg2zvR/UhlrtaWnKU5Vxwb78VazlaLGW7j7Vv+8byVm8myqHa/cPjKG1h/PXF5TKYjNlhjIGrx7Mtzd9S4eA6kUelWJfka8OtSl+qUhJ4ey48ah8fem835p2eOrUKdasscafX3zxRYfDTVV129dPXE87v5pPNn1WFuVnz6KLj+evtevIGjSQFEnihokT6VvPaX9NhG2zjhwzR/ZokpzvqpzYvoVN773FhCf/SfSQEU3yeUUVRQxZLVeK3935bub2n0uvVXIse9ddh8ko0DH+bflvPrxTCF880r9Bn2M5bxYPq2PP+iFJEju++oyWnbvQoZ9jN2S55SrV1knsUfVvfksLfz7q2pby8nLc3NyQJImioqJqctOOUrmmFrV+He6dO0PyTgjvCW7eZCzah6nIOsJu+erQGv/+O/97kLYXrZlYl/7GJpNJ7seh1vB5aU9WXW9imHcGDJhu3afcQP73Z9CEeeHVP6zGHsPFhaV8MXcfdz3fj29ePgDYhvkcRatNwsOjrc13qipMWdP1taeghO7eHng1oDi1EkV0rg6KK4rp91U/9CY9kV4R8O4AyE6QL5w4P9DLJ5uLSJPzmqtQsG4dAO3Wr7PZHhERQZcuXRBC0KlTJ4dvZgVl1j4IfUL71OoEAIyFRaRNncbpr75m99AhBPz1F11PnKB3794OfZ4jZI3qydnhsWSN6tnkTgCg6wi5pP/nZW9QlJtdx961k5hTwqc7k/jlmK32ka+rL39NkXssrDm9Bq1BywuDXgDgZEaRxQkADXYCVUmf9yfZbx9Cn1N3+EOSJEuVeE0IIRhx/yO1OoGKtGLSn99JRYY5JDL/IryQV6cTSC+z/eypLeWalMpZgRCiwU4AIOCRRzCFhGDsYB5wtR1q6dfh2cu2hWpt51v3kXJGny7Eg5Anqmt5qVQq1pd35dvSLoT6ujH44g9w9BvbfdxcCLo3Bt/RrWttNG/Sy3ZUOgFH0WqT2LK1PXv2juNc0jvs2Xsd6ekrbfa5IyyQzJE9ODCoizW9VZJsQlSD/L0b5QTqQgkNIUsVdPDvQNzgONzVrpB7Ct4fZN3hlTAiK6+dvNdtjnUJki8SlY9txoGvry933nknX3/9NW5ubhQZjPg40CD7h8QfLI9DPUPrtN29cyfCFy3im6NHOFARSYlrCVMTNlLw1dcETrm/zuMdxauR6pP1QRufw11RcwEoXZnChaDTtH9kRB1H2XLi4gme3vY0A9yf58ud8o1w1yODuJBeSml+Oefic5n4TC923r2TT49/SklFCZM7TWZyp8kAnFs0gZc3nmRYp4YX5uWvtRUo1GdpKTuTj6ZFzYuYRqORhQsXAo7XhFScLyFv9SlCn+5t6RCnz9GS8648qs95R3Z4LRcNtQl71ITnJZlMA/yd21Qp5bEnuLXf9ewo09PJy/a88r8hCv8bomo9/qLuIqnFqbSJbUNkP/szrfLyclxdXdnx4kTcNWo0ahWYRoOhYaq4fsGeFAQeQZjUtIlsT8FxD3QlFXjU4jwA3N1bERg4jLy8P0lKWsqokQnYG38LISx9IkwVRjJe2A0ugsiXhzbI3vqihIbsocuHE+vgJ2tTcII7w71rrC0bq2AwGXBR1exTiwxGOv15jCODuxLqpmH58uXcd999BARYY+2N7Vt64MABJn8vxxF/Svua6LffxiWk7nTCS/lk9qMUZGfi7uVNWWkJD7/1AYERjW82Ux+0R3LJW33KZpvHk20Jaul4f98JP0wgrVjutbzvnr8ozdLx7SLb0Zx/qCf3veRgWKUBFP2RRtGmZNza+xF0XwwmncGiEVQTGRkZfPTRR4DjjqBgw1lKzJXKgffF4OLvxsWvTqL2d6MiWa5MdAnxIOwfjocKq4aGnJk6XGKQEyRKjCbC3BpWqVs1dFrT+tmSJUt4+OGH8fLyQq2WswD37NlDz5496ycYWIW4uDhUBjeCLgywbHMkndRUXs7JX2awVGQwuvODTO40udbrOnPxfowFcgaVM0OKSmiovngEyD1gq/LYH9WcwL7MfcSujKXXql7oDDou6i6iM1QvVV+RLi84asyjsbFjx1ZLbRNC8GzfZ3k09lHeHfMu++7dZ/dkMdnJPgK5TeCL4+WRVNGCpQ1yAgAF2XIIpaxUHkXv/d5+nn1T4tkjhLAFA8gdVciv5z9nXco7+ATZjsxz04otcg1lpfpq77H21rV09Jflmse+tYOQ1tYZ2+3/6sOgSe0Zdb/zVVKrUrQpGYDys4UIN5c6nQDAhg0bAGjVyjGnZ9LqLU4AIO+rk+R8eBRjQTmBd1lF0oIf7uaw3eUma+vFh1o6V6rkxsNn6PDnsQY7AYDnBzxvebw7Y7flscFQzJkzi9Bqk7jhhhvQaDTs27ePV155hQULFvDbb7+xfft2TCaTvbd1CJO6HIPaGt778ru6tcBK006Q5fsHewrSeWXfK5bCRXsU/ZFmcQKXkyabEQghIoGTwBzgR2A90BqIByZLkqQVQkwC3gLUw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+<h2 id="Step-4:-Analyze-trajectories">Step 4: Analyze trajectories<a class="anchor-link" href="#Step-4:-Analyze-trajectories">¶</a></h2><p>Trackpy includes several functions to help with some common analyses for particle trajectories. (See the "Static Analysis" and "Motion Analysis" sections of the API reference.)</p>
+<p>Here, we can show that these data are consistent with colloidal particles undergoing Brownian motion in water.</p>
+<h3 id="Mean-Squared-Displacement-of-Individal-Probes">Mean Squared Displacement of Individal Probes<a class="anchor-link" href="#Mean-Squared-Displacement-of-Individal-Probes">¶</a></h3>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>Compute the mean squared displacement (MSD) of each particle using the <code>imsd</code> function, and plot MSD vs. lag time.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [30]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">im</span> <span class="o">=</span> <span class="n">tp</span><span class="o">.</span><span class="n">imsd</span><span class="p">(</span><span class="n">tm</span><span class="p">,</span> <span class="mi">100</span><span class="o">/</span><span class="mf">285.</span><span class="p">,</span> <span class="mi">24</span><span class="p">)</span>  <span class="c1"># microns per pixel = 100/285., frames per second = 24</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [31]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">()</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">im</span><span class="o">.</span><span class="n">index</span><span class="p">,</span> <span class="n">im</span><span class="p">,</span> <span class="s1">'k-'</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">0.1</span><span class="p">)</span>  <span class="c1"># black lines, semitransparent</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">set</span><span class="p">(</span><span class="n">ylabel</span><span class="o">=</span><span class="sa">r</span><span class="s1">'$\langle \Delta r^2 \rangle$ [$\mu$m$^2$]'</span><span class="p">,</span>
+       <span class="n">xlabel</span><span class="o">=</span><span class="s1">'lag time $t$'</span><span class="p">)</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">set_xscale</span><span class="p">(</span><span class="s1">'log'</span><span class="p">)</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">set_yscale</span><span class="p">(</span><span class="s1">'log'</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
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+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedImage jp-OutputArea-output" tabindex="0">
+<img alt="No description has been provided for this image" class="jp-needs-light-background" 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
+"/>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>Since we only analyzed 300 frames, the statistics are poor at large lag times. With more frames, we can study larger lag times.</p>
+<h3 id="Ensemble-Mean-Squared-Displacement">Ensemble Mean Squared Displacement<a class="anchor-link" href="#Ensemble-Mean-Squared-Displacement">¶</a></h3><p>Now use the <code>emsd</code> function to compute the ensemble mean squared displacement (EMSD) of all particles:</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [32]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">em</span> <span class="o">=</span> <span class="n">tp</span><span class="o">.</span><span class="n">emsd</span><span class="p">(</span><span class="n">tm</span><span class="p">,</span> <span class="mi">100</span><span class="o">/</span><span class="mf">285.</span><span class="p">,</span> <span class="mi">24</span><span class="p">)</span> <span class="c1"># microns per pixel = 100/285., frames per second = 24</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [33]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">()</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">em</span><span class="o">.</span><span class="n">index</span><span class="p">,</span> <span class="n">em</span><span class="p">,</span> <span class="s1">'o'</span><span class="p">)</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">set_xscale</span><span class="p">(</span><span class="s1">'log'</span><span class="p">)</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">set_yscale</span><span class="p">(</span><span class="s1">'log'</span><span class="p">)</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">set</span><span class="p">(</span><span class="n">ylabel</span><span class="o">=</span><span class="sa">r</span><span class="s1">'$\langle \Delta r^2 \rangle$ [$\mu$m$^2$]'</span><span class="p">,</span>
+       <span class="n">xlabel</span><span class="o">=</span><span class="s1">'lag time $t$'</span><span class="p">)</span>
+<span class="n">ax</span><span class="o">.</span><span class="n">set</span><span class="p">(</span><span class="n">ylim</span><span class="o">=</span><span class="p">(</span><span class="mf">1e-2</span><span class="p">,</span> <span class="mi">10</span><span class="p">));</span>
+</pre></div>
+</div>
+</div>
+</div>
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+<img alt="No description has been provided for this image" class="jp-needs-light-background" 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
+"/>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>We can easily fit this ensemble mean-squared displacement to a power law, $At^n$, using a convenience function, <code>fit_powerlaw</code>, which performs a linear regression in log space.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [34]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">()</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="sa">r</span><span class="s1">'$\langle \Delta r^2 \rangle$ [$\mu$m$^2$]'</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">'lag time $t$'</span><span class="p">);</span>
+<span class="n">tp</span><span class="o">.</span><span class="n">utils</span><span class="o">.</span><span class="n">fit_powerlaw</span><span class="p">(</span><span class="n">em</span><span class="p">)</span>  <span class="c1"># performs linear best fit in log space, plots]</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
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+<img alt="No description has been provided for this image" class="jp-needs-light-background" 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
+"/>
+</div>
+</div>
+<div class="jp-OutputArea-child jp-OutputArea-executeResult">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[34]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
+<div>
+<style scoped="">
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+<thead>
+<tr style="text-align: right;">
+<th></th>
+<th>n</th>
+<th>A</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td>msd</td>
+<td>1.0787</td>
+<td>1.595089</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
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+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>In water, a viscous material, the expected power-law exponent $n = 1$. The value of $A = 4D$, where $D$ is the particles' diffusivity. $D$ is related to viscosity $\eta$, particle radius $r$, and temperature $T$ through the Stokes-Einstein equation:</p>
+$$
+D = \displaystyle\frac{k_B T}{6\pi\eta r}
+$$<p>where $k_B$ is the Boltzmann constant. For particles with a 1 $\mu\text{m}$ diameter in room-temperature water, $A \approx 1.66$ $\mu\textrm{m}^2 / \textrm{s}$. Our values of $n$ and $A$ above are not far off. (If you'd like to know more about this measurement and its uncertainty, <a href="https://dx.doi.org/10.1119/1.4803529">this paper</a> is a thorough discussion at the advanced undergraduate level.)</p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><strong>This is the end of the walkthrough. Keep reading to review a few more advanced capabilities in trackpy.</strong></p>
+<h1 id="Preview-of-Some-Advanced-Features">Preview of Some Advanced Features<a class="anchor-link" href="#Preview-of-Some-Advanced-Features">¶</a></h1><p><strong>Check out the other tutorials for in-depth explorations of these topics and more!</strong></p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="Parallelization">Parallelization<a class="anchor-link" href="#Parallelization">¶</a></h2><p>Feature-finding can easily be parallelized: each frame is an independent task, and tasks can be divided among the multiple CPUs in a modern computer. Starting with trackpy v0.4.2, this capability is built into <code>batch</code>. See the <a href="http://nbviewer.ipython.org/github/soft-matter/trackpy-examples/blob/master/notebooks/parallel-locate.ipynb">parallelization tutorial</a> for details.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [35]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="o">%</span><span class="k">timeit</span> tp.batch(frames[:20], 11, invert=True, minmass=20, processes='auto')
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>Frame 19: 576 features
+766 ms ± 9.36 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)
+</pre>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="Optional-High-Performance-Component:-Numba">Optional High Performance Component: Numba<a class="anchor-link" href="#Optional-High-Performance-Component:-Numba">¶</a></h2><p>The core, time-consuming steps in particle location and linking are implemented in Python/numpy and also in pure Python optimized for numba. If numba is installed, trackpy will detect it and use it by default. You can switch it on and off to compare performance.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [36]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="o">%</span><span class="k">timeit</span> tp.batch(frames[:20], 11, invert=True, minmass=20, engine='numba')
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>Frame 19: 576 features
+1.08 s ± 16.5 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)
+</pre>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [37]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="o">%</span><span class="k">timeit</span> tp.batch(frames[:20], 11, invert=True, minmass=20, engine='python')
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>Frame 19: 576 features
+3.42 s ± 41.4 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)
+</pre>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>The linking functions similarly use numba if it's available; you can control this manually using the <code>link_strategy</code> option.</p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="Streaming">Streaming<a class="anchor-link" href="#Streaming">¶</a></h2><p>The feature-finding and trajectory-linking functions <code>batch</code> and <code>link</code> keep all of their results in memory. This approach is simple, but it isn't necessary. We can prcoess an unlimited number of frames if we save the results as we go.</p>
+<p>Trackpy includes a class to manage storing an retrieving data framewise in the widely-used HDF5 format. The general idea is easily extensible to other formats.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [38]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="k">with</span> <span class="n">tp</span><span class="o">.</span><span class="n">PandasHDFStore</span><span class="p">(</span><span class="s1">'data.h5'</span><span class="p">)</span> <span class="k">as</span> <span class="n">s</span><span class="p">:</span>
+    <span class="n">tp</span><span class="o">.</span><span class="n">batch</span><span class="p">(</span><span class="n">frames</span><span class="p">,</span> <span class="mi">11</span><span class="p">,</span> <span class="n">invert</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">minmass</span><span class="o">=</span><span class="mi">200</span><span class="p">,</span> <span class="n">output</span><span class="o">=</span><span class="n">s</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>Frame 299: 328 features
+</pre>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [39]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="k">with</span> <span class="n">tp</span><span class="o">.</span><span class="n">PandasHDFStore</span><span class="p">(</span><span class="s1">'data.h5'</span><span class="p">)</span> <span class="k">as</span> <span class="n">s</span><span class="p">:</span>
+    <span class="c1"># As before, we require a minimum "life" of 5 frames and a memory of 3 frames</span>
+    <span class="k">for</span> <span class="n">linked</span> <span class="ow">in</span> <span class="n">tp</span><span class="o">.</span><span class="n">link_df_iter</span><span class="p">(</span><span class="n">s</span><span class="p">,</span> <span class="mi">5</span><span class="p">,</span> <span class="n">memory</span><span class="o">=</span><span class="mi">3</span><span class="p">):</span>
+        <span class="n">s</span><span class="o">.</span><span class="n">put</span><span class="p">(</span><span class="n">linked</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>Frame 299: 328 trajectories present.
+</pre>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>You can get results by frame with <code>s.get(frame_number)</code> or, when you have sufficient memory, retrieve them all. The results are identifical to what you would obtain using the basic functions <code>batch</code> and <code>link</code>.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [40]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="k">with</span> <span class="n">tp</span><span class="o">.</span><span class="n">PandasHDFStore</span><span class="p">(</span><span class="s1">'data.h5'</span><span class="p">)</span> <span class="k">as</span> <span class="n">s</span><span class="p">:</span>
+    <span class="n">trajectories</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">concat</span><span class="p">(</span><span class="nb">iter</span><span class="p">(</span><span class="n">s</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [ ]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span> 
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div>
+</main>
+</body>
+</html>
+</section>
+
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+  <a href="../_sources/tutorial/walkthrough.rst.txt"
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+<li class="toctree-l1"><a class="reference internal" href="tutorial/uncertainty.html">Uncertainty Estimation</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/subnets.html">Advanced Linking</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tutorial/adaptive-search.html">Adaptive Linking</a></li>
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+<li><a class="reference internal" href="#id8">Enhancements</a></li>
+<li><a class="reference internal" href="#id9">Bug fixes</a></li>
+</ul>
+</li>
+<li><a class="reference internal" href="#v0-4-1">v0.4.1</a><ul>
+<li><a class="reference internal" href="#id10">API Changes</a></li>
+<li><a class="reference internal" href="#id11">Enhancements</a></li>
+<li><a class="reference internal" href="#id12">Bug fixes</a></li>
+</ul>
+</li>
+<li><a class="reference internal" href="#v0-4-0">v0.4.0</a><ul>
+<li><a class="reference internal" href="#id13">API Changes</a></li>
+<li><a class="reference internal" href="#id14">Enhancements</a></li>
+<li><a class="reference internal" href="#id15">Bug fixes</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+</ul>
+</li>
+              
+            
+            
+            
+            
+            
+          </ul>
+
+          
+            
+<form class="navbar-form navbar-right" action="search.html" method="get">
+ <div class="form-group">
+  <input type="text" name="q" class="form-control" placeholder="Search" />
+ </div>
+  <input type="hidden" name="check_keywords" value="yes" />
+  <input type="hidden" name="area" value="default" />
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+        </div>
+    </div>
+  </div>
+
+<div class="container">
+  <div class="row">
+    <div class="body col-md-12 content" role="main">
+      
+  <section id="what-s-new-in-the-package">
+<span id="whatsnew"></span><h1>What’s new in the package<a class="headerlink" href="#what-s-new-in-the-package" title="Permalink to this heading">¶</a></h1>
+<p>A catalog of new features, improvements, and bug-fixes in each release. Follow links to the relevant GitHub issue or pull request for specific code changes and any related discussion.</p>
+<section id="v0-6-2">
+<h2>v0.6.2<a class="headerlink" href="#v0-6-2" title="Permalink to this heading">¶</a></h2>
+<p>trackpy v0.6.2 includes bug fixes, and compatibility fixes with newer
+dependency versions.</p>
+<p>A special thanks to everyone who reported the issues fixed in this release!</p>
+<section id="bug-fixes">
+<h3>Bug fixes<a class="headerlink" href="#bug-fixes" title="Permalink to this heading">¶</a></h3>
+<ul class="simple">
+<li><p>Fixed an issue with feature-finding in 4D image sequences (&#64;VeraMTitze, #739)</p></li>
+<li><p>Fixed a rare issue in which subtract_drift() with multiple particles
+resulted in a Pandas indexing error. (&#64;kevin-duclos, #735)</p></li>
+</ul>
+</section>
+<section id="dependencies">
+<h3>Dependencies<a class="headerlink" href="#dependencies" title="Permalink to this heading">¶</a></h3>
+<ul class="simple">
+<li><p>Adds official support for Python 3.12. (&#64;caspervdw, #747)</p></li>
+<li><p>Adds support for latest Pandas, NumPy, and SciPy (&#64;marcocaggioni, #740;
+&#64;nkeim, #743, &#64;vivarose and &#64;rodrigo-j-goncalves, #742; &#64;caspervdw, #747)</p></li>
+<li><p>Drops official support for Python 3.7 and earlier, NumPy 1.17 and earlier,
+Pandas 0.x, and SciPy 1.3 and earlier.</p></li>
+</ul>
+</section>
+</section>
+<section id="v0-6-1">
+<h2>v0.6.1<a class="headerlink" href="#v0-6-1" title="Permalink to this heading">¶</a></h2>
+<p>trackpy v0.6.1 is functionally equivalent to v0.6.0. It is being released
+to fix an issue with Zenodo, so that this trackpy release has a citable DOI.</p>
+</section>
+<section id="v0-6-0">
+<h2>v0.6.0<a class="headerlink" href="#v0-6-0" title="Permalink to this heading">¶</a></h2>
+<p>This release adds an efficient way to use custom distance metrics during
+linking, and fixes bugs and some inconsistencies in the prediction
+capabilities. Some existing code that used prediction may now fail to run until
+a (minor) update is made.</p>
+<p>This release includes contributions by &#64;magnunor, &#64;freemansw1, &#64;crisp-snakey,
+&#64;rbnvrw, &#64;caspervdw, &#64;tacaswell, and &#64;nkeim.</p>
+<section id="enhancements">
+<h3>Enhancements<a class="headerlink" href="#enhancements" title="Permalink to this heading">¶</a></h3>
+<ul class="simple">
+<li><p>Linking can now use any <code class="docutils literal notranslate"><span class="pre">DistanceMetric</span></code> class from sklearn to compute
+distances (#692 by &#64;freemansw1)</p></li>
+<li><p>Several documentation fixes by &#64;magnunor and &#64;nkeim</p></li>
+</ul>
+</section>
+<section id="api-changes">
+<h3>API Changes<a class="headerlink" href="#api-changes" title="Permalink to this heading">¶</a></h3>
+<ul class="simple">
+<li><p>When supplying an initial velocity guess to NearestVelocityPredict or
+DriftPredict, you must also supply the pos_columns argument to identify
+the names of the columns in your array. (For example,
+“pos_columns = [‘y’, ‘x’]”.) Otherwise, creating the predictor will
+raise an exception that explains this change. If you provide pos_columns
+when creating the predictor, you do not have to supply it when subsequently
+using the link_df() or link_df_iter() methods to link your features.
+(&#64;nkeim, #710)</p></li>
+<li><p><code class="docutils literal notranslate"><span class="pre">reconnect_traj_patch()</span></code> is now available as <code class="docutils literal notranslate"><span class="pre">trackpy.reconnect_traj_patch</span></code>
+and is described in the API documentation. (&#64;nkeim, #648)</p></li>
+</ul>
+</section>
+<section id="id1">
+<h3>Bug Fixes<a class="headerlink" href="#id1" title="Permalink to this heading">¶</a></h3>
+<ul class="simple">
+<li><p>When linking with prediction, the predictor now correctly uses the same
+position columns as the linker, and correctly handles the pos_columns
+argument if specified. (&#64;nkeim, #710)</p></li>
+<li><p>The link_df() method of predictor objects now works correctly. This is
+reflected in the updated prediction tutorial. (&#64;nkeim, #710)</p></li>
+</ul>
+</section>
+<section id="id2">
+<h3>Dependencies<a class="headerlink" href="#id2" title="Permalink to this heading">¶</a></h3>
+<ul class="simple">
+<li><p>trackpy is now being tested in conda environments with Python 3.10.</p></li>
+<li><p>trackpy is no longer tested with Python 3.6.</p></li>
+<li><p>trackpy now requires the <code class="docutils literal notranslate"><span class="pre">looseversion</span></code> package to work with newer scipy
+(&#64;crisp-snakey, #706)</p></li>
+<li><p>Much work on testing and packaging infrastructure by &#64;tacaswell and &#64;caspervdw</p></li>
+</ul>
+</section>
+</section>
+<section id="v0-5">
+<h2>v0.5<a class="headerlink" href="#v0-5" title="Permalink to this heading">¶</a></h2>
+<p>This is a major release focused on enhancements. Most notably, parallel
+processing is now turned on by default for “trackpy.batch” and
+“trackpy.locate_brightfield_ring”, resulting in a large performance increase
+for many users. Another minor speedup changes the way in which particle numbers
+are generated, which may cause issues with reproducibility in some existing
+workflows (see “API Changes” below).</p>
+<p>Note that Python 2 reached end-of-life in 2020, and it is no longer officially
+supported by trackpy. Also, trackpy dropped support for older NumPy, Scipy and Pandas.
+The current minimum requirements are: <code class="docutils literal notranslate"><span class="pre">python&gt;=3.6</span> <span class="pre">numpy&gt;=1.14</span> <span class="pre">scipy&gt;=1.1</span> <span class="pre">pandas&gt;=0.22</span></code>.</p>
+<section id="id3">
+<h3>Enhancements<a class="headerlink" href="#id3" title="Permalink to this heading">¶</a></h3>
+<ul class="simple">
+<li><p>“compute_drift()” now accepts list-like “pos_columns” (e.g. tuples). (<a class="reference external" href="https://github.com/soft-matter/trackpy/issues/579">GH579</a>)</p></li>
+<li><p>“trackpy.locate_brightfield_ring” now defaults to parallel execution with all
+available CPUs, as controlled by the optional “processes” argument (<a class="reference external" href="https://github.com/soft-matter/trackpy/issues/602">GH602</a>)</p></li>
+<li><p>“refine_brightfield_ring()” now uses the 5th percentile for edge detection
+instead of the minimum, resulting in a more robust tracking for low contrast
+images. (<a class="reference external" href="https://github.com/soft-matter/trackpy/issues/602">GH602</a>)</p></li>
+</ul>
+</section>
+<section id="id4">
+<h3>API Changes<a class="headerlink" href="#id4" title="Permalink to this heading">¶</a></h3>
+<ul class="simple">
+<li><p>“trackpy.batch” now defaults to parallel execution with all available CPUs
+(“processes=’auto’”). For most users this should be a noticeable speedup.
+Revert to the previous behavior with “processes=1”. (<a class="reference external" href="https://github.com/soft-matter/trackpy/issues/605">GH605</a>)</p></li>
+<li><p>During linking, particles are not sorted before assigning new
+trajectories. This greatly speeds up linking under certain conditions.
+The actual coordinates and linked trajectories are not affected by this
+change, but the unique number assigned to a trajectory (in the “particle”
+column) may vary from run to run. The most reproducible way to identify a
+specific particle is still the particle’s coordinates at an instant in time.
+To make the numbering stable again, set the “PYTHONHASHSEED” environment
+variable before starting Python.
+(<a class="reference external" href="https://github.com/soft-matter/trackpy/issues/597">GH597</a>, <a class="reference external" href="https://github.com/soft-matter/trackpy/issues/601">GH601</a>)</p></li>
+</ul>
+</section>
+</section>
+<section id="v0-4-2">
+<h2>v0.4.2<a class="headerlink" href="#v0-4-2" title="Permalink to this heading">¶</a></h2>
+<p>This is a minor release with two major new features: parallel processing to
+speed up feature-finding, and a new method for locating features in
+bright-field microscopy. There is also an overhaul of the walkthrough and other
+tutorials, and compatibility with the latest version of Pandas (0.25.1).</p>
+<section id="id5">
+<h3>API Changes<a class="headerlink" href="#id5" title="Permalink to this heading">¶</a></h3>
+<ul class="simple">
+<li><p>“trackpy.locate” and associated functions now report “ep” to be NaN when
+there is only one usable background pixel to sample. (<a class="reference external" href="https://github.com/soft-matter/trackpy/issues/519">GH519</a>)</p></li>
+<li><p>“trackpy.legacy.linking.link_df” does not copy a DataFrame automatically
+anymore if the provided DataFrame is a view. (<a class="reference external" href="https://github.com/soft-matter/trackpy/issues/503">GH503</a>)</p></li>
+<li><p>The “locate” options in “trackpy.batch” are now collected in “<a href="#id6"><span class="problematic" id="id7">**</span></a>kwargs”
+(except for “diameter”) and passed to the wrapped “trackpy.locate” function.
+This means when using the “meta” option of “trackpy.batch” only explicitly
+given options for the wrapped “trackpy.locate” are saved to the file;
+unspecified options using default values from “locate” aren’t saved.
+(<a class="reference external" href="https://github.com/soft-matter/trackpy/issues/499">GH499</a>)</p></li>
+</ul>
+</section>
+<section id="id8">
+<h3>Enhancements<a class="headerlink" href="#id8" title="Permalink to this heading">¶</a></h3>
+<ul class="simple">
+<li><p>Added support for multiprocessing to “trackpy.batch”. (<a class="reference external" href="https://github.com/soft-matter/trackpy/issues/499">GH499</a>)</p></li>
+<li><p>“trackpy.locate_brightfield_ring” enables precise tracking of large
+particles in bright-field microscopy. There is a new tutorial to demonstrate
+it. (<a class="reference external" href="https://github.com/soft-matter/trackpy/issues/527">GH527</a>)</p></li>
+<li><p>Added “trackpy.linking.link_partial” to allow linking a movie in separate
+pieces. (<a class="reference external" href="https://github.com/soft-matter/trackpy/issues/445">GH445</a>)</p></li>
+<li><p>Many updates and improvements to the tutorials. Most notably, the walkthrough
+is revised and updated for the latest versions of trackpy and pims, and code
+from all tutorials should now run in recent Python environments.
+(<a class="reference external" href="https://github.com/soft-matter/trackpy/issues/567">GH567</a>, <a class="reference external" href="https://github.com/soft-matter/trackpy/issues/524">GH524</a>, <a class="reference external" href="https://github.com/soft-matter/trackpy/issues/539">GH539</a>, <a class="reference external" href="https://github.com/soft-matter/trackpy/issues/543">GH543</a>, <a class="reference external" href="https://github.com/soft-matter/trackpy/issues/541">GH541</a>,
+<a class="reference external" href="https://github.com/soft-matter/trackpy/issues/532">GH532</a>, <a class="reference external" href="https://github.com/soft-matter/trackpy/issues/157">GH157</a>, <a class="reference external" href="https://github.com/soft-matter/trackpy/issues/558">GH558</a>, <a class="reference external" href="https://github.com/soft-matter/trackpy/issues/505">GH505</a>, <a class="reference external" href="https://github.com/soft-matter/trackpy/issues/525">GH525</a>). Most of
+these changes were made in the trackpy-examples repository on GitHub.</p></li>
+<li><p>Smaller improvements to other documentation for the linking and
+feature-finding APIs. (<a class="reference external" href="https://github.com/soft-matter/trackpy/issues/545">GH545</a>, <a class="reference external" href="https://github.com/soft-matter/trackpy/issues/551">GH551</a>, <a class="reference external" href="https://github.com/soft-matter/trackpy/issues/550">GH550</a>,
+<a class="reference external" href="https://github.com/soft-matter/trackpy/issues/522">GH522</a>, <a class="reference external" href="https://github.com/soft-matter/trackpy/issues/540">GH540</a>, <a class="reference external" href="https://github.com/soft-matter/trackpy/issues/542">GH542</a>)</p></li>
+</ul>
+</section>
+<section id="id9">
+<h3>Bug fixes<a class="headerlink" href="#id9" title="Permalink to this heading">¶</a></h3>
+<ul class="simple">
+<li><p>Fixed incompatibility with recent Pandas (<a class="reference external" href="https://github.com/soft-matter/trackpy/issues/529">GH529</a>, <a class="reference external" href="https://github.com/soft-matter/trackpy/issues/538">GH538</a>)</p></li>
+<li><p>Removed warnings in case Pandas 0.23 is used (<a class="reference external" href="https://github.com/soft-matter/trackpy/issues/503">GH503</a>)</p></li>
+<li><p>Removed warnings in case Pandas 0.25 is used (<a class="reference external" href="https://github.com/soft-matter/trackpy/issues/545">GH545</a>)</p></li>
+<li><p>“trackpy.diag.dependencies” now gives information about a more complete set
+of packages.</p></li>
+</ul>
+</section>
+</section>
+<section id="v0-4-1">
+<h2>v0.4.1<a class="headerlink" href="#v0-4-1" title="Permalink to this heading">¶</a></h2>
+<p>This is a minor release with some important fixes. Additionally, PIMS is no
+longer a required dependency, which makes installation easier.</p>
+<section id="id10">
+<h3>API Changes<a class="headerlink" href="#id10" title="Permalink to this heading">¶</a></h3>
+<ul class="simple">
+<li><p>PIMS (Python IMage Sequence) is no longer a required dependency (<a class="reference external" href="https://github.com/soft-matter/trackpy/issues/492">GH492</a>)</p></li>
+</ul>
+</section>
+<section id="id11">
+<h3>Enhancements<a class="headerlink" href="#id11" title="Permalink to this heading">¶</a></h3>
+<ul class="simple">
+<li><p>Improved performance of adaptive search (<a class="reference external" href="https://github.com/soft-matter/trackpy/issues/489">GH489</a>)</p></li>
+<li><p>Reduced memory usage during linking (<a class="reference external" href="https://github.com/soft-matter/trackpy/issues/489">GH489</a>)</p></li>
+</ul>
+</section>
+<section id="id12">
+<h3>Bug fixes<a class="headerlink" href="#id12" title="Permalink to this heading">¶</a></h3>
+<ul class="simple">
+<li><p>Fix enable_numba on Py3.6 and MS Windows systems (<a class="reference external" href="https://github.com/soft-matter/trackpy/issues/486">GH486</a>)</p></li>
+</ul>
+</section>
+</section>
+<section id="v0-4-0">
+<h2>v0.4.0<a class="headerlink" href="#v0-4-0" title="Permalink to this heading">¶</a></h2>
+<p>This is a major release that includes new choices for linking and feature-finding algorithms, as well as many
+performance increases and clean-ups. It is recommended for all trackpy users, but may require
+minor changes to existing code, as detailed below.</p>
+<section id="id13">
+<h3>API Changes<a class="headerlink" href="#id13" title="Permalink to this heading">¶</a></h3>
+<ul class="simple">
+<li><p>locate has a more modular structure that makes it easier to customize feature-finding (<a class="reference external" href="https://github.com/soft-matter/trackpy/issues/400">GH400</a>, <a class="reference external" href="https://github.com/soft-matter/trackpy/issues/406">GH406</a>)</p></li>
+<li><p>The default value of smoothing_size is smaller, and more consistent with
+other implementations of this algorithm. In general, particle
+mass values will be different. The new minmass_v04_change function helps
+update minmass values in existing code (<a class="reference external" href="https://github.com/soft-matter/trackpy/issues/401">GH401</a>, <a class="reference external" href="https://github.com/soft-matter/trackpy/issues/465">GH465</a>)</p></li>
+<li><p>The “minmass” parameter now has a default value of 0 (<a class="reference external" href="https://github.com/soft-matter/trackpy/issues/400">GH400</a>)</p></li>
+<li><p>The “filter_before” option is no longer supported (<a class="reference external" href="https://github.com/soft-matter/trackpy/issues/400">GH400</a>)</p></li>
+<li><p>Major refactor of the linking code giving linking a better API (<a class="reference external" href="https://github.com/soft-matter/trackpy/issues/416">GH416</a>, <a class="reference external" href="https://github.com/soft-matter/trackpy/issues/414">GH414</a>)</p></li>
+<li><p>Linking diagnostics are no longer supported (<a class="reference external" href="https://github.com/soft-matter/trackpy/issues/414">GH414</a>)</p></li>
+<li><p>link_df always creates a copy of the data; it can no longer work in-place (<a class="reference external" href="https://github.com/soft-matter/trackpy/issues/414">GH414</a>)</p></li>
+</ul>
+</section>
+<section id="id14">
+<h3>Enhancements<a class="headerlink" href="#id14" title="Permalink to this heading">¶</a></h3>
+<ul class="simple">
+<li><p>Improved performance of feature finding (<a class="reference external" href="https://github.com/soft-matter/trackpy/issues/361">GH361</a>)</p></li>
+<li><p>Improved performance of linking (<a class="reference external" href="https://github.com/soft-matter/trackpy/issues/400">GH400</a>, <a class="reference external" href="https://github.com/soft-matter/trackpy/issues/406">GH406</a>)</p></li>
+<li><p>New refinement method using least squares optimization (<a class="reference external" href="https://github.com/soft-matter/trackpy/issues/407">GH407</a>)</p></li>
+<li><p>New linker that combines feature-finding with linking (FindLinker) (<a class="reference external" href="https://github.com/soft-matter/trackpy/issues/407">GH407</a>, <a class="reference external" href="https://github.com/soft-matter/trackpy/issues/410">GH410</a>, <a class="reference external" href="https://github.com/soft-matter/trackpy/issues/411">GH411</a>, <a class="reference external" href="https://github.com/soft-matter/trackpy/issues/416">GH416</a>, <a class="reference external" href="https://github.com/soft-matter/trackpy/issues/428">GH428</a>)</p></li>
+<li><p>Linking in non-Euclidean coordinate systems and curved metrics (<a class="reference external" href="https://github.com/soft-matter/trackpy/issues/448">GH448</a>)</p></li>
+</ul>
+</section>
+<section id="id15">
+<h3>Bug fixes<a class="headerlink" href="#id15" title="Permalink to this heading">¶</a></h3>
+<ul class="simple">
+<li><p>Fix compute_drift if dataframes are not sorted (<a class="reference external" href="https://github.com/soft-matter/trackpy/issues/409">GH409</a>)</p></li>
+<li><p>Fix double counting of non-linking penalty in non-numba linkers (<a class="reference external" href="https://github.com/soft-matter/trackpy/issues/430">GH430</a>)</p></li>
+<li><p>Fix the N column for emsd (<a class="reference external" href="https://github.com/soft-matter/trackpy/issues/434">GH434</a>)</p></li>
+</ul>
+</section>
+</section>
+</section>
+
+
+    </div>
+      
+  </div>
+</div>
+<footer class="footer">
+  <div class="container">
+    <p class="pull-right">
+      <a href="#">Back to top</a>
+      
+        <br/>
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+  <a href="_sources/whatsnew.rst.txt"
+     rel="nofollow">Source</a>
+</div>
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+        &copy; Copyright 2010-2024, Trackpy Contributors.<br/>
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